diff --git a/.github/workflows/_test-unit-base.yml b/.github/workflows/_test-unit-base.yml index 75b0f93fd77..62790e23143 100644 --- a/.github/workflows/_test-unit-base.yml +++ b/.github/workflows/_test-unit-base.yml @@ -113,7 +113,7 @@ jobs: if: steps.changes.outputs.decision != 'skip' timeout-minutes: 8 run: | - .github/scripts/uv_sync_with_retries.sh --frozen --group ci --group proxy-dev --extra google --extra proxy --extra semantic-router --extra saml --extra mongodb + .github/scripts/uv_sync_with_retries.sh --frozen --group ci --group proxy-dev --extra google --extra proxy --extra semantic-router --extra saml uv run --no-sync python -c 'import os, sys; print(sys.version); assert f"{sys.version_info.major}.{sys.version_info.minor}" == os.environ["UV_PYTHON"]' - name: Cache Prisma binaries diff --git a/.github/workflows/test-litellm-ui-unit.yml b/.github/workflows/test-litellm-ui-unit.yml index cd58f861a87..b93bf84320d 100644 --- a/.github/workflows/test-litellm-ui-unit.yml +++ b/.github/workflows/test-litellm-ui-unit.yml @@ -66,7 +66,7 @@ jobs: BASE_SHA: ${{ github.event.pull_request.base.sha }} HEAD_SHA: ${{ github.event.pull_request.head.sha }} run: | - full_suite() { npm run test -- --run --pool forks --poolOptions.forks.maxForks=14; } + full_suite() { npm run test -- --run --pool forks --maxWorkers=14; } if [ -z "$BASE_SHA" ]; then echo "Push to $GITHUB_REF_NAME: running the full suite" @@ -95,4 +95,4 @@ jobs: echo "Pull request: running tests related to ${#changed_files[@]} changed UI files" npm run test -- related "${changed_files[@]}" --run --passWithNoTests \ - --pool forks --poolOptions.forks.maxForks=14 + --pool forks --maxWorkers=14 diff --git a/Dockerfile b/Dockerfile index 1648ec69d13..0a92aa9a68c 100644 --- a/Dockerfile +++ b/Dockerfile @@ -67,7 +67,6 @@ RUN uv sync --frozen --no-install-project --no-install-workspace --no-default-gr --extra semantic-router \ --extra saml \ --extra bedrock-realtime \ - --extra mongodb \ --python python3.13 # Copy full source tree @@ -90,7 +89,6 @@ RUN uv sync --frozen --no-default-groups --no-editable \ --extra semantic-router \ --extra saml \ --extra bedrock-realtime \ - --extra mongodb \ --python python3.13 RUN HOME=/opt/prisma XDG_CACHE_HOME=/opt/prisma/.cache PRISMA_BINARY_CACHE_DIR=/opt/prisma/binaries \ diff --git a/basedpyright-code-budget.json b/basedpyright-code-budget.json index 57ca267e504..26e4e06a796 100644 --- a/basedpyright-code-budget.json +++ b/basedpyright-code-budget.json @@ -105,7 +105,7 @@ "limit": 109 }, "reportUnknownMemberType": { - "limit": 38271 + "limit": 38269 }, "reportUnknownParameterType": { "limit": 19584 diff --git a/docker/Dockerfile.database b/docker/Dockerfile.database index cc81ad6b3d3..e9ad2849bb2 100644 --- a/docker/Dockerfile.database +++ b/docker/Dockerfile.database @@ -65,7 +65,6 @@ RUN uv sync --frozen --no-install-project --no-install-workspace --no-default-gr --extra semantic-router \ --extra saml \ --extra bedrock-realtime \ - --extra mongodb \ --python python3.13 # Copy full source tree @@ -88,7 +87,6 @@ RUN uv sync --frozen --no-default-groups --no-editable \ --extra semantic-router \ --extra saml \ --extra bedrock-realtime \ - --extra mongodb \ --python python3.13 RUN HOME=/opt/prisma XDG_CACHE_HOME=/opt/prisma/.cache PRISMA_BINARY_CACHE_DIR=/opt/prisma/binaries \ diff --git a/docker/Dockerfile.non_root b/docker/Dockerfile.non_root index 358425af901..edf20e8bbff 100644 --- a/docker/Dockerfile.non_root +++ b/docker/Dockerfile.non_root @@ -71,7 +71,6 @@ RUN --mount=type=cache,target=/app/.cache/uv,id=litellm-uv-cache \ --extra semantic-router \ --extra saml \ --extra bedrock-realtime \ - --extra mongodb \ --python python3.13 # Copy full source tree @@ -100,7 +99,6 @@ RUN --mount=type=cache,target=/app/.cache/uv,id=litellm-uv-cache \ --extra semantic-router \ --extra saml \ --extra bedrock-realtime \ - --extra mongodb \ --python python3.13 \ --no-sources-package litellm-proxy-extras; \ else \ @@ -111,7 +109,6 @@ RUN --mount=type=cache,target=/app/.cache/uv,id=litellm-uv-cache \ --extra semantic-router \ --extra saml \ --extra bedrock-realtime \ - --extra mongodb \ --python python3.13; \ fi diff --git a/enterprise/litellm_enterprise/proxy/hooks/managed_files.py b/enterprise/litellm_enterprise/proxy/hooks/managed_files.py index 486904d0abe..c7e1b94a2ef 100644 --- a/enterprise/litellm_enterprise/proxy/hooks/managed_files.py +++ b/enterprise/litellm_enterprise/proxy/hooks/managed_files.py @@ -1801,7 +1801,16 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): # Remove conflicting keys from data to avoid duplicate keyword arguments filtered_data = {k: v for k, v in data.items() if k not in ("model", "file_id")} for model_id, model_file_id in specific_model_file_id_mapping.items(): - delete_response = await llm_router.afile_delete(model=model_id, file_id=model_file_id, **filtered_data) # type: ignore + credentials = llm_router.get_deployment_credentials_with_provider(model_id=model_id) + delete_data = { + **{k: v for k, v in filtered_data.items() if k != "_litellm_internal_model_credentials"}, + **( + {"_litellm_internal_model_credentials": MappingProxyType(dict(credentials))} + if credentials is not None + else {} + ), + } + delete_response = await llm_router.afile_delete(model=model_id, file_id=model_file_id, **delete_data) stored_file_object = await self.delete_unified_file_id(file_id, litellm_parent_otel_span) @@ -1812,7 +1821,7 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): prom_logger.record_managed_file_deleted(result="success") if stored_file_object: - return stored_file_object + return OpenAIFileObject.model_validate(stored_file_object).model_copy(update={"id": file_id}) elif delete_response: delete_response.id = file_id return delete_response diff --git a/enterprise/pyproject.toml b/enterprise/pyproject.toml index 3699087dbfa..903c5155a12 100644 --- a/enterprise/pyproject.toml +++ b/enterprise/pyproject.toml @@ -1,6 +1,6 @@ [project] name = "litellm-enterprise" -version = "0.1.65" +version = "0.1.66" description = "Package for LiteLLM Enterprise features" readme = "README.md" requires-python = ">=3.9" @@ -26,7 +26,7 @@ required-version = ">=0.10.9" module-root = "" [tool.commitizen] -version = "0.1.65" +version = "0.1.66" version_files = [ "pyproject.toml:^version", "../pyproject.toml:litellm-enterprise==", diff --git a/gateway/Dockerfile b/gateway/Dockerfile index e42e488d57f..308d70a6b26 100644 --- a/gateway/Dockerfile +++ b/gateway/Dockerfile @@ -47,7 +47,6 @@ RUN --mount=type=cache,target=/root/.cache/uv \ --extra extra_proxy \ --extra semantic-router \ --extra bedrock-realtime \ - --extra mongodb \ --python python3.13 # Stage 2 — copy source and install the project + workspace members. @@ -60,7 +59,6 @@ RUN --mount=type=cache,target=/root/.cache/uv \ --extra extra_proxy \ --extra semantic-router \ --extra bedrock-realtime \ - --extra mongodb \ --python python3.13 RUN HOME=/opt/prisma XDG_CACHE_HOME=/opt/prisma/.cache PRISMA_BINARY_CACHE_DIR=/opt/prisma/binaries \ diff --git a/litellm/__init__.py b/litellm/__init__.py index fc6dc35fe55..5a461801b62 100644 --- a/litellm/__init__.py +++ b/litellm/__init__.py @@ -326,6 +326,9 @@ ssl_certificate: Optional[str] = None user_url_validation: bool = True user_url_allowed_hosts: List[str] = [] provider_url_destination_allowed_hosts: List[str] = [] +#: "override" (default) or "additive": whether a key or team destination replaces +#: the operator's exporter for that backend or exports alongside it. +otel_tenant_destination_mode: str | None = None ssl_ecdh_curve: Optional[str] = None # Set to 'X25519' to disable PQC and improve performance disable_streaming_logging: bool = False disable_token_counter: bool = False @@ -543,7 +546,7 @@ _key_management_system: Optional["KeyManagementSystem"] = None #### PII MASKING #### output_parse_pii: bool = False ############################################# -from litellm.litellm_core_utils.get_model_cost_map import get_model_cost_map +from litellm.litellm_core_utils.get_model_cost_map import get_model_cost_map, mark_litellm_import_complete model_cost = get_model_cost_map(url=model_cost_map_url) cost_discount_config: Dict[str, float] = {} # Provider-specific cost discounts {"vertex_ai": 0.05} = 5% discount @@ -2402,3 +2405,5 @@ def __getattr__(name: str) -> Any: # ALL_LITELLM_RESPONSE_TYPES is lazy-loaded via __getattr__ to avoid loading utils at import time + +mark_litellm_import_complete() diff --git a/litellm/_internal_context.py b/litellm/_internal_context.py index f856fe0f2b3..8132008731f 100644 --- a/litellm/_internal_context.py +++ b/litellm/_internal_context.py @@ -6,9 +6,33 @@ be settable from user input. Context variables are scoped to the current asyncio task and cannot be injected via HTTP request bodies. """ +from collections.abc import Generator +from contextlib import contextmanager from contextvars import ContextVar +from datetime import datetime, timezone from typing import Final # When True, suppresses async logging and billing for internal sub-calls # (e.g., emulated file-search steps that make nested LLM calls). is_internal_call: Final[ContextVar[bool]] = ContextVar("is_internal_call", default=False) + +# One request prices its totals, its per-token-type lines and the rates it reports on +# separate code paths. Each reads the clock for off-peak pricing, so without a pinned +# moment they can land on either side of a window boundary and disagree with each other. +_billing_time: Final[ContextVar[datetime | None]] = ContextVar("billing_time", default=None) + + +@contextmanager +def pinned_billing_time(moment: datetime) -> Generator[None]: + """Price every rate lookup inside this block at ``moment`` rather than at each one's own clock read.""" + token: Final = _billing_time.set(moment) + try: + yield + finally: + _billing_time.reset(token) + + +def current_billing_time() -> datetime: + """The pinned billing moment, or now in UTC outside a pinned block.""" + pinned: Final = _billing_time.get() + return pinned if pinned is not None else datetime.now(timezone.utc) diff --git a/litellm/constants.py b/litellm/constants.py index 82ca92475ec..f9389d22dea 100644 --- a/litellm/constants.py +++ b/litellm/constants.py @@ -143,6 +143,7 @@ DEFAULT_MCP_SEMANTIC_FILTER_SIMILARITY_THRESHOLD: Final = float( os.getenv("DEFAULT_MCP_SEMANTIC_FILTER_SIMILARITY_THRESHOLD", 0.3) ) MAX_MCP_SEMANTIC_FILTER_TOOLS_HEADER_LENGTH: Final = int(os.getenv("MAX_MCP_SEMANTIC_FILTER_TOOLS_HEADER_LENGTH", 150)) +MAX_GUARDRAIL_SCAN_METADATA_HEADER_LENGTH: Final = 2048 DEFAULT_AUTO_ROUTER_MAX_INPUT_CHARS: Final = 2000 @@ -197,6 +198,7 @@ LITELLM_UI_ALLOW_HEADERS: Final = [ "x-litellm-adaptive-router-model", "x-litellm-applied-guardrails", "x-litellm-guardrail-scan-id", + "x-litellm-guardrail-scan-metadata", "x-litellm-cache-key", ] @@ -333,6 +335,7 @@ DEFAULT_SSL_CIPHERS: Final = os.getenv( ########### v2 Architecture constants for managing writing updates to the database ########### REDIS_UPDATE_BUFFER_KEY: Final = "litellm_spend_update_buffer" +REDIS_GATEWAY_REQUESTS_BUFFER_KEY: Final = "litellm_gateway_requests_buffer" REDIS_DAILY_SPEND_UPDATE_BUFFER_KEY: Final = "litellm_daily_spend_update_buffer" REDIS_DAILY_TEAM_SPEND_UPDATE_BUFFER_KEY: Final = "litellm_daily_team_spend_update_buffer" REDIS_DAILY_ORG_SPEND_UPDATE_BUFFER_KEY: Final = "litellm_daily_org_spend_update_buffer" @@ -1374,6 +1377,7 @@ bedrock_embedding_models: Final[set] = set( "cohere.embed-multilingual-v3", "cohere.embed-v4:0", "twelvelabs.marengo-embed-2-7-v1:0", + "twelvelabs.marengo-embed-3-0-v1:0", ] ) @@ -1766,6 +1770,10 @@ LITELLM_SETTINGS_SAFE_DB_OVERRIDES: Final = [ SPECIAL_LITELLM_AUTH_TOKEN: Final = ["ui-token"] DEFAULT_MANAGEMENT_OBJECT_IN_MEMORY_CACHE_TTL = int(os.getenv("DEFAULT_MANAGEMENT_OBJECT_IN_MEMORY_CACHE_TTL", 60)) DEFAULT_ACCESS_GROUP_CACHE_TTL: Final = int(os.getenv("DEFAULT_ACCESS_GROUP_CACHE_TTL", 600)) +SPEND_LOG_KEY_METADATA_CACHE_TTL: Final = 600 +SPEND_LOG_KEY_METADATA_MISS_CACHE_TTL: Final = 30 +SPEND_LOG_KEY_METADATA_CACHE_MAX_ITEMS: Final = 10000 +SPEND_LOG_KEY_METADATA_QUERY_TIMEOUT_MS: Final = 5000 # Short TTL for negative MCP access-group existence lookups. Keeps unauthenticated # callers from forcing a DB query per request for unknown names, while bounding # staleness so a transient DB error (which surfaces as an empty list) cannot diff --git a/litellm/cost_calculator.py b/litellm/cost_calculator.py index c9c7df4d75e..814eaaf76f7 100644 --- a/litellm/cost_calculator.py +++ b/litellm/cost_calculator.py @@ -25,6 +25,7 @@ from litellm.litellm_core_utils.llm_cost_calc.usage_object_transformation import TranscriptionUsageObjectTransformation, ) from litellm.litellm_core_utils.llm_cost_calc.utils import ( + BilledTokenRates, CostCalculatorUtils, _generic_cost_per_character, _get_regional_uplift_multiplier, @@ -45,6 +46,9 @@ from litellm.llms.azure.cost_calculation import ( from litellm.llms.azure_ai.cost_calculator import ( cost_per_token as azure_ai_cost_per_token, ) +from litellm.llms.azure_ai.cost_calculator import ( + is_azure_model_router as azure_ai_is_model_router_name, +) from litellm.llms.base_llm.search.transformation import SearchResponse from litellm.llms.bedrock.cost_calculation import ( cost_per_token as bedrock_cost_per_token, @@ -1122,6 +1126,7 @@ def _store_cost_breakdown_in_logging_obj( service_tier: str | None = None, data_residency: str | None = None, vertex_location: str | None = None, + billed_token_rates: BilledTokenRates | None = None, ) -> None: """ Helper function to store cost breakdown in the logging object. @@ -1166,6 +1171,7 @@ def _store_cost_breakdown_in_logging_obj( service_tier=service_tier, data_residency=data_residency, vertex_location=vertex_location, + billed_token_rates=billed_token_rates, ) except Exception as breakdown_error: @@ -1659,11 +1665,10 @@ def completion_cost( data_residency=data_residency, vertex_location=vertex_location, response=completion_response, - request_model=request_model_for_cost, ) # Get additional costs from provider (e.g., routing fees, infrastructure costs) - if custom_llm_provider == "azure_ai": + if custom_llm_provider == "azure_ai" and not azure_ai_is_model_router_name(model): model_for_additional_costs = request_model_for_cost if completion_response is not None: hidden_params = getattr(completion_response, "_hidden_params", None) or {} @@ -1735,6 +1740,7 @@ def completion_cost( _reasoning_cost: float | None = None _cache_read_cost: float | None = None _cache_creation_cost: float | None = None + _billed_token_rates: BilledTokenRates | None = None if cost_per_token_usage_object is not None and model: _breakdown_provider: str | None = ( custom_llm_provider if isinstance(custom_llm_provider, str) else None @@ -1746,10 +1752,12 @@ def completion_cost( service_tier=service_tier, data_residency=data_residency, vertex_location=vertex_location, + custom_cost_per_token=custom_cost_per_token, ) _reasoning_cost = _token_type_breakdown.reasoning_cost _cache_read_cost = _token_type_breakdown.cache_read_cost _cache_creation_cost = _token_type_breakdown.cache_creation_cost + _billed_token_rates = _token_type_breakdown.rates _store_cost_breakdown_in_logging_obj( litellm_logging_obj=litellm_logging_obj, prompt_tokens_cost_usd_dollar=prompt_tokens_cost_usd_dollar, @@ -1769,6 +1777,7 @@ def completion_cost( service_tier=service_tier, data_residency=data_residency, vertex_location=vertex_location, + billed_token_rates=_billed_token_rates, ) return _final_cost diff --git a/litellm/experimental_mcp_client/client.py b/litellm/experimental_mcp_client/client.py index 3503468c735..8c7f4557992 100644 --- a/litellm/experimental_mcp_client/client.py +++ b/litellm/experimental_mcp_client/client.py @@ -18,6 +18,7 @@ from mcp import ClientSession, McpError, ReadResourceResult, Resource, StdioServ from mcp.client.sse import sse_client from mcp.client.stdio import stdio_client from mcp.shared.message import SessionMessage +from mcp.shared.session import RequestResponder from typing_extensions import Unpack _TransportStreams: TypeAlias = tuple[ @@ -56,10 +57,13 @@ def missing_streamable_http_client_error() -> ImportError: from mcp.types import CallToolRequestParams as MCPCallToolRequestParams from mcp.types import CallToolResult as MCPCallToolResult from mcp.types import ( + ClientResult, GetPromptRequestParams, GetPromptResult, Prompt, ResourceTemplate, + ServerNotification, + ServerRequest, TextContent, ) from mcp.types import Tool as MCPTool @@ -146,8 +150,8 @@ _SDK_READ_TIMEOUT_CODE: Final = int(httpx.codes.REQUEST_TIMEOUT) otherwise carries JSON-RPC error codes.""" -def _as_read_timeout(exc: BaseException) -> TimeoutError | None: - """The session read timeout elapsing, re-expressed as a ``TimeoutError``, or ``None``. +def as_mcp_read_timeout(exc: BaseException) -> TimeoutError | None: + """Normalize an MCP SDK read timeout for client and gateway diagnostics, or return ``None``. The SDK reports its own elapsed read timeout as ``McpError`` carrying an HTTP status code in a field that otherwise holds JSON-RPC error codes, and it relays an upstream's JSON-RPC error @@ -442,6 +446,18 @@ class MCPClient: in_flight_error: BaseException | None = None try: read_stream, write_stream = transport[0], transport[1] + stream_error: Final[asyncio.Future[Exception]] = asyncio.get_running_loop().create_future() + + async def receive_message( + message: RequestResponder[ServerRequest, ClientResult] | ServerNotification | Exception, + ) -> None: + if not isinstance(message, (ValueError, httpx.RequestError, OSError)): + return + if not stream_error.done(): + stream_error.set_result(message) + # The SDK closes pending requests when its message handler raises. + raise RuntimeError("MCP response stream failed") + # Build session kwargs with optional callbacks session_kwargs: Final[dict[str, Any]] = {} if self._sampling_callback is not None: @@ -456,6 +472,7 @@ class MCPClient: read_stream, write_stream, read_timeout_seconds=timedelta(seconds=self.timeout), + message_handler=receive_message, **session_kwargs, ) session: Final = await session_ctx.__aenter__() @@ -467,6 +484,10 @@ class MCPClient: if isinstance(ins, str) and ins.strip(): self._last_initialize_instructions = ins.strip() return await operation(session) + except McpError: + if stream_error.done(): + raise stream_error.result() + raise finally: try: await session_ctx.__aexit__(None, None, None) @@ -501,11 +522,10 @@ class MCPClient: transport_ctx, http_client = self._create_transport_context() return await self._execute_session_operation(transport_ctx, operation) except Exception as e: - read_timeout: Final = _as_read_timeout(e) + read_timeout: Final = as_mcp_read_timeout(e) if read_timeout is not None: verbose_logger.warning( - "MCP client timed out after %ss waiting for %s to answer; the server accepted the " - "request and ended its response stream without a JSON-RPC reply", + "MCP client timed out after %ss waiting for a valid MCP response from %s", self.timeout, self.server_url or "stdio", ) diff --git a/litellm/files/main.py b/litellm/files/main.py index 19da77b7364..218518eb3cd 100644 --- a/litellm/files/main.py +++ b/litellm/files/main.py @@ -31,7 +31,7 @@ FileCreateProvider = Literal[ FileRetrieveProvider = Literal[ "openai", "azure", "gemini", "vertex_ai", "hosted_vllm", "litellm_proxy", "manus", "anthropic" ] -FileDeleteProvider = Literal["openai", "azure", "gemini", "litellm_proxy", "manus", "anthropic"] +FileDeleteProvider = Literal["openai", "azure", "gemini", "bedrock", "litellm_proxy", "manus", "anthropic"] FileListProvider = Literal["openai", "azure", "litellm_proxy", "manus", "anthropic"] import litellm from litellm import get_secret_str diff --git a/litellm/integrations/azure_sentinel/azure_sentinel.py b/litellm/integrations/azure_sentinel/azure_sentinel.py index eba6c862f7a..db5f790615f 100644 --- a/litellm/integrations/azure_sentinel/azure_sentinel.py +++ b/litellm/integrations/azure_sentinel/azure_sentinel.py @@ -21,6 +21,8 @@ from types import MappingProxyType from typing import Final, TypeVar from urllib.parse import urlparse +import httpx + from litellm._logging import verbose_logger from litellm.integrations.batch_utils import ( BatchSendCancelled, @@ -418,7 +420,7 @@ class AzureSentinelLogger(CustomBatchLogger): "Content-Type": "application/json", } - async def _send_batch(batch: Sequence[_QueuedPayload]): + async def _send_batch(batch: Sequence[_QueuedPayload]) -> httpx.Response: body: Final = safe_dumps(batch) return await self.async_httpx_client.post( url=api_endpoint, diff --git a/litellm/integrations/callback_configs.json b/litellm/integrations/callback_configs.json index b98eef8329b..c40b90cee25 100644 --- a/litellm/integrations/callback_configs.json +++ b/litellm/integrations/callback_configs.json @@ -367,6 +367,13 @@ "ui_name": "Headers", "description": "Headers for OTEL exporter (e.g., x-honeycomb-team=YOUR_API_KEY)", "required": false + }, + "otel_exporter_otlp_protocol": { + "type": "select", + "ui_name": "Export Protocol", + "description": "OTLP wire format for trace exports. Use http/json for collectors that cannot decode protobuf", + "options": ["http/protobuf", "http/json"], + "required": false } }, "description": "OpenTelemetry Logging Integration" diff --git a/litellm/integrations/custom_guardrail.py b/litellm/integrations/custom_guardrail.py index 37d6a7e793d..77bf4820a1a 100644 --- a/litellm/integrations/custom_guardrail.py +++ b/litellm/integrations/custom_guardrail.py @@ -850,20 +850,24 @@ class CustomGuardrail(CustomLogger): if self.should_run_guardrail(data=request_data, event_type=GuardrailEventHooks.post_call) is not True: return None - # CHECK IF GUARDRAIL REJECTS THE REQUEST target: Final = self._deployment_hook_target() - hook_request_data: Final = {**request_data, "guardrail_to_apply": self} if target is not self else request_data - result: Final = await target.async_post_call_success_hook( - user_api_key_dict=UserAPIKeyAuth( - user_id=request_data.get("user_api_key_user_id"), - team_id=request_data.get("user_api_key_team_id"), - end_user_id=request_data.get("user_api_key_end_user_id"), - api_key=request_data.get("user_api_key_hash"), - request_route=request_data.get("user_api_key_request_route"), - ), - data=hook_request_data, - response=response, - ) + try: + if target is not self: + request_data["guardrail_to_apply"] = self # rebind-ok: dispatch consumes this key + result: Final = await target.async_post_call_success_hook( + user_api_key_dict=UserAPIKeyAuth( + user_id=request_data.get("user_api_key_user_id"), + team_id=request_data.get("user_api_key_team_id"), + end_user_id=request_data.get("user_api_key_end_user_id"), + api_key=request_data.get("user_api_key_hash"), + request_route=request_data.get("user_api_key_request_route"), + ), + data=request_data, + response=response, + ) + finally: + if target is not self: + request_data.pop("guardrail_to_apply", None) if not self._is_valid_response_type(result): return None diff --git a/litellm/integrations/mlflow.py b/litellm/integrations/mlflow.py index a2f0b7cf39c..8731e96440f 100644 --- a/litellm/integrations/mlflow.py +++ b/litellm/integrations/mlflow.py @@ -133,17 +133,17 @@ class MlflowLogger(CustomLogger): if final_response: end_time_ns: Final = int(end_time.timestamp() * 1e9) - self._extract_and_set_chat_attributes(span, kwargs, final_response) - self._end_span_or_trace( - span=span, - outputs=final_response, - status=SpanStatusCode.OK, - end_time_ns=end_time_ns, - ) - - # Remove the stream_id from the map - with self._lock: - self._stream_id_to_span.pop(litellm_call_id) + try: + self._extract_and_set_chat_attributes(span, kwargs, final_response) + self._end_span_or_trace( + span=span, + outputs=final_response, + status=SpanStatusCode.OK, + end_time_ns=end_time_ns, + ) + finally: + with self._lock: + self._stream_id_to_span.pop(litellm_call_id, None) def _add_chunk_events(self, span, response_obj): from mlflow.entities import SpanEvent @@ -282,15 +282,15 @@ class MlflowLogger(CustomLogger): """End an MLflow span or a trace.""" if span.parent_id is None: self._client.end_trace( - trace_id=span.request_id, + span.request_id, outputs=outputs, status=status, end_time_ns=end_time_ns, ) else: self._client.end_span( - trace_id=span.request_id, - span_id=span.span_id, + span.request_id, + span.span_id, outputs=outputs, status=status, end_time_ns=end_time_ns, diff --git a/litellm/integrations/otel/logger.py b/litellm/integrations/otel/logger.py index 5519896a961..630aa313dc9 100644 --- a/litellm/integrations/otel/logger.py +++ b/litellm/integrations/otel/logger.py @@ -16,9 +16,11 @@ from opentelemetry.trace import ( Span, Tracer, get_current_span, + get_tracer_provider, set_span_in_context, use_span, ) +from opentelemetry.trace import TracerProvider as ApiTracerProvider import litellm from litellm._logging import verbose_logger @@ -63,6 +65,7 @@ from litellm.integrations.otel.plumbing.metrics import ( create_genai_metrics, ) from litellm.integrations.otel.plumbing.providers import ( + attach_tenant_fan_out, build_tracer_provider, get_event_logger, get_meter, @@ -85,6 +88,7 @@ if TYPE_CHECKING: ) LITELLM_TRACER_NAME: Final = "litellm" +_published_v2_provider: ApiTracerProvider | None = None def _span_error_from_exception( @@ -180,7 +184,9 @@ class OpenTelemetryV2(CustomLogger): self.config: OpenTelemetryV2Config = config or OpenTelemetryV2Config(**kwargs) self.callback_name = callback_name self._tracer_provider: TracerProvider = ( - tracer_provider if tracer_provider is not None else build_tracer_provider(self.config) + tracer_provider + if tracer_provider is not None + else build_tracer_provider(self.config, tenant_overrides=True) ) self.tracer: Tracer = get_tracer(self._tracer_provider, LITELLM_TRACER_NAME) self._metrics_recorder = self._init_metrics(meter_provider) @@ -195,6 +201,11 @@ class OpenTelemetryV2(CustomLogger): self._open_llm_calls: OrderedDict[str, _LLMCallSpan] = OrderedDict() self._init_otel_logger_on_litellm_proxy() + @property + def tracer_provider(self) -> TracerProvider: + """The provider this logger emits through, read-only to its callers.""" + return self._tracer_provider + def _init_metrics(self, meter_provider: "MeterProvider | None") -> "GenAIMetricRecorder | None": """Create the six GenAI histograms when metrics are enabled, else ``None``. @@ -863,12 +874,33 @@ def publish_global_otel_v2_provider( ``opentelemetry.trace.set_tracer_provider``) are injected so the publish step is unit-testable without reading or mutating real global OTel state. Returns the logger whose provider was published. + + The published provider is also the one that fans spans out to key/team + destinations, because it is the only provider the whole request tree passes + through; see :func:`attach_tenant_fan_out`. It is remembered for + :func:`fan_out_provider` because neither the OTel global (``set_tracer_provider`` + keeps the first provider it was ever handed) nor + ``proxy_server.open_telemetry_logger`` (a legacy v1 logger can hold that slot) + reliably leads back to it. """ + global _published_v2_provider logger: Final = select_global_otel_v2_logger(in_memory_loggers, registered=registered) - set_global_provider(logger._tracer_provider) + attach_tenant_fan_out(logger.tracer_provider, *_v2_configs(in_memory_loggers, logger)) + set_global_provider(logger.tracer_provider) + _published_v2_provider = logger.tracer_provider # rebind-ok: startup records the one provider carrying the fan-out return logger +def _v2_configs(in_memory_loggers: Sequence[object], logger: "OpenTelemetryV2") -> tuple[OpenTelemetryV2Config, ...]: + """Every v2 logger's config, the published logger's first. + + Each preset keeps its own provider and exporters, so the accounts the operator + writes to are spread over all of them, not held by the published logger alone. + """ + others: Final = tuple(cb.config for cb in in_memory_loggers if isinstance(cb, OpenTelemetryV2) and cb is not logger) + return (logger.config, *others) + + def _registered_v2_logger() -> "OpenTelemetryV2 | None": try: from litellm.proxy import proxy_server @@ -904,6 +936,25 @@ def seed_request_identity(user_api_key_dict: object, model: str | None = None) - logger.seed_request_identity(user_api_key_dict, model=model) +def fan_out_provider() -> ApiTracerProvider: + """The provider :func:`publish_global_otel_v2_provider` gave the tenant fan-out. + + Read off the publish itself, not the OTel global and not the registered logger: + the global keeps whichever provider claimed it first (auto-instrumentation, a + legacy logger), and the registered slot can hold a v1 logger while the publish + picked a v2 one from ``_in_memory_loggers``. Either detour lands on a provider + with no fan-out and drops every destination at auth. + """ + published: Final = _published_v2_provider + if published is not None: + return published + logger: Final = _registered_v2_logger() + if logger is not None: + attach_tenant_fan_out(logger.tracer_provider, logger.config) + return logger.tracer_provider + return get_tracer_provider() + + @contextmanager def phase_span(name: str) -> "Iterator[Span | None]": logger: Final = _registered_v2_logger() diff --git a/litellm/integrations/otel/mappers/legacy.py b/litellm/integrations/otel/mappers/legacy.py index 37475acb8f7..d25c25cd127 100644 --- a/litellm/integrations/otel/mappers/legacy.py +++ b/litellm/integrations/otel/mappers/legacy.py @@ -23,6 +23,7 @@ from litellm.integrations.otel.model.payloads import ( ServiceSpanData, ToolDefinition, ) +from litellm.integrations.otel.model.semconv import Error # Attribute keys in the semconv-ai / Traceloop vocabulary. _LEGACY_SYSTEM: Final = "gen_ai.system" @@ -36,7 +37,7 @@ _LEGACY_PRESENCE_PENALTY: Final = "llm.presence_penalty" _LEGACY_STOP_SEQUENCES: Final = "llm.chat.stop_sequences" _LEGACY_SERVICE: Final = "service" _LEGACY_CALL_TYPE: Final = "call_type" -_LEGACY_ERROR: Final = "error" +_LEGACY_ERROR: Final = Error.MESSAGE_LEGACY class LegacyMapper: diff --git a/litellm/integrations/otel/model/config.py b/litellm/integrations/otel/model/config.py index e3501d0ee94..bd542ddc20c 100644 --- a/litellm/integrations/otel/model/config.py +++ b/litellm/integrations/otel/model/config.py @@ -69,7 +69,7 @@ class ExporterSpec(BaseModel): kind: str = Field( default="console", - description="console | in_memory | otlp_http | otlp_grpc | ", + description="console | in_memory | otlp_http | http/json | otlp_grpc | ", ) endpoint: str | None = None traces_endpoint: str | None = Field( @@ -269,7 +269,9 @@ class OpenTelemetryV2Config(BaseSettings): if (self.endpoint or self.traces_endpoint) and self.exporter == "console": self.exporter = "otlp_http" # When no explicit destinations are given, fold the single-destination - # shorthand into one spec so the provider always has a destination. + # shorthand into one spec so the provider always has a destination. A spec + # with no fields set is how the presets tell "nothing configured" from an + # operator who asked for the console by name. if not self.exporters: self.exporters = [ ExporterSpec( @@ -278,6 +280,8 @@ class OpenTelemetryV2Config(BaseSettings): traces_endpoint=self.traces_endpoint, headers=self.headers, ) + if not self.model_fields_set.isdisjoint(("exporter", "endpoint", "headers")) + else ExporterSpec() ] # Ensure ``genai`` is always present and first. names = list(self.mapper_names) diff --git a/litellm/integrations/otel/model/destination.py b/litellm/integrations/otel/model/destination.py new file mode 100644 index 00000000000..299253cac77 --- /dev/null +++ b/litellm/integrations/otel/model/destination.py @@ -0,0 +1,49 @@ +"""The resolved OTLP destination a request's traces export to. + +Backend-agnostic on purpose: every OTEL backend reduces to an endpoint plus auth +headers. The per-backend field mapping lives in ``presets.destinations``. +""" + +from collections.abc import Mapping +from typing import Final +from urllib.parse import quote + +from pydantic import BaseModel, ConfigDict, Field + + +class OtelDestination(BaseModel): + model_config = ConfigDict(frozen=True) + + endpoint: str + headers: Mapping[str, str] = Field(default_factory=dict) + resource_attributes: Mapping[str, str] = Field(default_factory=dict) + callback_name: str | None = None + protocol: str | None = Field( + default=None, + description=( + "OTLP transport, defaulting to the backend's own. Not derivable from the " + "scheme: Arize's ``https://otlp.arize.com/v1`` is gRPC." + ), + ) + + def header_string(self) -> str: + """Render headers as the ``k=v,k2=v2`` form an ``ExporterSpec`` expects. + + Values are percent-encoded because ``providers.parse_headers`` decodes them + with the SDK's W3C-Baggage parser: a value carrying a ``,`` or ``=`` (a + Langfuse project name, a base64 Authorization payload ending in ``==``) + would otherwise be split into bogus pairs on the way back out. + """ + return ",".join(f"{key}={quote(value, safe='')}" for key, value in self.headers.items()) + + def cache_key(self) -> tuple[str, tuple[tuple[str, str], ...], tuple[tuple[str, str], ...], str | None]: + """Identity for processor reuse, so one destination means one exporter.""" + return ( + self.endpoint, + tuple(sorted(self.headers.items())), + tuple(sorted(self.resource_attributes.items())), + self.protocol, + ) + + +NO_DESTINATIONS: Final[tuple[OtelDestination, ...]] = () diff --git a/litellm/integrations/otel/model/semconv.py b/litellm/integrations/otel/model/semconv.py index af5327cbd41..d3628005bac 100644 --- a/litellm/integrations/otel/model/semconv.py +++ b/litellm/integrations/otel/model/semconv.py @@ -204,6 +204,9 @@ class Error: TYPE: Final = "error.type" MESSAGE: Final = "error.message" + # The same text under the bare key the semconv-ai / Traceloop vocabulary uses + # (see ``LegacyMapper``), so anything reading or redacting error text covers both. + MESSAGE_LEGACY: Final = "error" class LiteLLMError: diff --git a/litellm/integrations/otel/plumbing/context.py b/litellm/integrations/otel/plumbing/context.py index aa7cc8e2afd..21e61c71fb7 100644 --- a/litellm/integrations/otel/plumbing/context.py +++ b/litellm/integrations/otel/plumbing/context.py @@ -1,8 +1,9 @@ """Trace-context + Baggage helpers.""" +import os from collections.abc import Mapping from contextvars import ContextVar, Token -from typing import Final +from typing import TYPE_CHECKING, Final from opentelemetry import baggage from opentelemetry.context import Context, get_current @@ -21,6 +22,9 @@ from opentelemetry.trace.propagation.tracecontext import ( from litellm.integrations.otel.model.semconv import HTTP +if TYPE_CHECKING: + from litellm.integrations.otel.model.destination import OtelDestination + _PROPAGATOR: Final = TraceContextTextMapPropagator() # The request's root span — the FastAPI-owned SERVER span — captured ONCE when the @@ -304,3 +308,65 @@ def extract_traceparent(headers: Mapping[str, str]) -> Context | None: return None carrier: Final = {str(key).lower(): value for key, value in headers.items()} return _PROPAGATOR.extract(carrier) + + +# The OTLP destinations this request's key or team pointed its traces at, resolved +# once during auth. A ``ContextVar`` for the same reason the root span above is one: +# it rides the request task's context into the ``asyncio.create_task`` children that +# close the LLM span, and it is visible to every ``SpanProcessor.on_end`` that fires +# on the request task. Stateful MCP handlers set and reset it per message; the +# request-task value otherwise dies with that task. +_request_destinations: Final['ContextVar[tuple["OtelDestination", ...]]'] = ContextVar( + "litellm_otel_request_destinations", default=() +) + + +def set_request_destinations(destinations: 'tuple["OtelDestination", ...]') -> "Token[tuple[OtelDestination, ...]]": + """Anchor the destinations this request exports to and return a reset token.""" + return _request_destinations.set(destinations) + + +def reset_request_destinations(token: "Token[tuple[OtelDestination, ...]]") -> None: + _request_destinations.reset(token) + + +def request_destinations() -> 'tuple["OtelDestination", ...]': + """The destinations resolved for this request, empty outside a proxy request.""" + return _request_destinations.get() + + +#: ``litellm_settings: otel_tenant_destination_mode`` and its env equivalent. +ADDITIVE_DESTINATION_MODE: Final = "additive" +OTEL_TENANT_DESTINATION_MODE_ENV: Final = "LITELLM_OTEL_TENANT_DESTINATION_MODE" + + +def tenant_destinations_are_additive() -> bool: + """Whether a tenant destination exports alongside the operator's own exporter. + + Override is the default: the tenant's traffic reaches the tenant's account and + nowhere else. Operators running one org-wide backend across every team set this + to ``additive`` so the same trace lands in both places. + """ + import litellm + + configured: Final = litellm.otel_tenant_destination_mode or os.environ.get(OTEL_TENANT_DESTINATION_MODE_ENV) + return isinstance(configured, str) and configured.strip().lower() == ADDITIVE_DESTINATION_MODE + + +def destination_backends() -> frozenset[str]: + """Backends this request resolved a tenant destination for. + + The fan-out already carries the whole trace to those destinations, so the + per-request tracer route must never send a second copy, in either mode. + """ + return frozenset(d.callback_name for d in _request_destinations.get() if d.callback_name) + + +def suppressed_backends() -> frozenset[str]: + """Backends whose operator-level exporters this request must NOT reach. + + Empty under ``additive``, where the operator keeps its copy of every span. + """ + if tenant_destinations_are_additive(): + return frozenset() + return destination_backends() diff --git a/litellm/integrations/otel/plumbing/otlp_json.py b/litellm/integrations/otel/plumbing/otlp_json.py new file mode 100644 index 00000000000..b4b659f1e01 --- /dev/null +++ b/litellm/integrations/otel/plumbing/otlp_json.py @@ -0,0 +1,70 @@ +"""OTLP/HTTP span exporter that sends the OTLP/JSON encoding instead of protobuf. + +The SDK only ships a protobuf OTLP/HTTP exporter; this reuses its transport and +retry loop and swaps the payload for OTLP/JSON (enums as integers, ids as hex). +""" + +import base64 +import json +from collections.abc import Mapping, Sequence +from types import MappingProxyType +from typing import Final, TypeAlias + +from google.protobuf.json_format import MessageToDict +from opentelemetry.exporter.otlp.proto.common.trace_encoder import encode_spans +from opentelemetry.exporter.otlp.proto.http.trace_exporter import OTLPSpanExporter +from opentelemetry.sdk.trace import ReadableSpan + +JSON_CONTENT_TYPE: Final = "application/json" +_HEX_ID_KEYS: Final = frozenset({"traceId", "spanId", "parentSpanId"}) + +_JsonValue: TypeAlias = "Mapping[str, _JsonValue] | Sequence[_JsonValue] | str | int | float | bool | None" +_JsonObject: TypeAlias = Mapping[str, "_JsonValue"] + + +def _objects(node: _JsonObject, key: str) -> tuple[_JsonObject, ...]: + items: Final = node.get(key) + if isinstance(items, str) or not isinstance(items, Sequence): + return () + return tuple(item for item in items if isinstance(item, Mapping)) + + +def _hex_ids(node: _JsonObject) -> _JsonObject: + return MappingProxyType( + { + key: base64.b64decode(item).hex() if key in _HEX_ID_KEYS and isinstance(item, str) else item + for key, item in node.items() + } + ) + + +def _hex_span(span: _JsonObject) -> _JsonObject: + links: Final = _objects(span, "links") + if not links: + return _hex_ids(span) + return MappingProxyType({**_hex_ids(span), "links": tuple(_hex_ids(link) for link in links)}) + + +def _hex_scope_spans(scope: _JsonObject) -> _JsonObject: + return MappingProxyType({**scope, "spans": tuple(_hex_span(span) for span in _objects(scope, "spans"))}) + + +def _hex_resource_spans(resource: _JsonObject) -> _JsonObject: + scope_spans: Final = tuple(_hex_scope_spans(scope) for scope in _objects(resource, "scopeSpans")) + return MappingProxyType({**resource, "scopeSpans": scope_spans}) + + +def encode_spans_json(spans: Sequence[ReadableSpan]) -> bytes: + payload: Final[_JsonObject] = MessageToDict(encode_spans(spans), use_integers_for_enums=True) + resource_spans: Final = tuple(_hex_resource_spans(resource) for resource in _objects(payload, "resourceSpans")) + hexed: Final[_JsonObject] = MappingProxyType({**payload, "resourceSpans": resource_spans}) + return json.dumps(hexed, default=dict, separators=(",", ":")).encode() + + +class OTLPJsonSpanExporter(OTLPSpanExporter): + def __init__(self, endpoint: str | None, headers: dict[str, str]) -> None: # mutable-ok: SDK __init__ takes Dict + super().__init__(endpoint=endpoint, headers=headers) + self._session.headers["Content-Type"] = JSON_CONTENT_TYPE + + def _serialize_spans(self, spans: Sequence[ReadableSpan]) -> bytes: + return encode_spans_json(spans) diff --git a/litellm/integrations/otel/plumbing/providers.py b/litellm/integrations/otel/plumbing/providers.py index d8da53017ab..81f22c8c642 100644 --- a/litellm/integrations/otel/plumbing/providers.py +++ b/litellm/integrations/otel/plumbing/providers.py @@ -1,9 +1,14 @@ """Provider / exporter factory + the Baggage span processor.""" -from collections.abc import Callable, Iterable +import queue +import threading +import time +from collections import OrderedDict +from collections.abc import Callable, Iterable, Mapping, Sequence +from types import MappingProxyType from typing import TYPE_CHECKING, Any, Final, Literal -from opentelemetry import _logs, baggage, metrics +from opentelemetry import _logs, baggage, metrics, trace from opentelemetry._events import EventLogger from opentelemetry._logs import LoggerProvider, NoOpLoggerProvider from opentelemetry.context import Context @@ -19,7 +24,8 @@ from opentelemetry.sdk._logs.export import ( ) from opentelemetry.sdk.metrics import MeterProvider as SDKMeterProvider from opentelemetry.sdk.resources import Resource -from opentelemetry.sdk.trace import ReadableSpan, SpanProcessor, TracerProvider +from opentelemetry.sdk.trace import Event, ReadableSpan, SpanProcessor, TracerProvider +from opentelemetry.sdk.trace import Span as SDKSpan from opentelemetry.sdk.trace.export import ( BatchSpanProcessor, ConsoleSpanExporter, @@ -29,18 +35,35 @@ from opentelemetry.sdk.trace.export import ( from opentelemetry.sdk.trace.export.in_memory_span_exporter import ( InMemorySpanExporter, ) -from opentelemetry.trace import Span, SpanKind, Tracer +from opentelemetry.trace import Span, SpanKind, Status, Tracer from opentelemetry.util.re import parse_env_headers +from opentelemetry.util.types import Attributes, AttributeValue +from litellm._logging import verbose_logger from litellm._version import version as litellm_version from litellm.integrations.otel.model.config import ExporterSpec, OpenTelemetryV2Config -from litellm.integrations.otel.model.semconv import LiteLLM +from litellm.integrations.otel.model.semconv import ( + DB, + MCP, + Error, + ExceptionEvent, + GenAI, + LiteLLM, + LiteLLMError, + Server, +) from litellm.integrations.otel.model.spans import LiteLLMSpanKind +from litellm.integrations.otel.plumbing.context import ( + request_destinations, + suppressed_backends, +) if TYPE_CHECKING: from opentelemetry.metrics import Meter from opentelemetry.sdk.metrics.export import MetricReader + from litellm.integrations.otel.model.destination import OtelDestination + _SPAN_KIND_BY_ROLE_KIND: Final[dict[LiteLLMSpanKind, SpanKind]] = { LiteLLMSpanKind.SERVER: SpanKind.SERVER, LiteLLMSpanKind.CLIENT: SpanKind.CLIENT, @@ -136,7 +159,8 @@ def parse_headers(raw: str | None) -> dict[str, str]: _IN_MEMORY_KINDS: Final = ("in_memory", "inmemory", "memory") -_OTLP_HTTP_KINDS: Final = ("otlp_http", "http", "http/protobuf", "http/json") +_OTLP_HTTP_JSON_KINDS: Final = ("http/json",) +_OTLP_HTTP_KINDS: Final = ("otlp_http", "http", "http/protobuf", *_OTLP_HTTP_JSON_KINDS) _OTLP_GRPC_KINDS: Final = ("otlp_grpc", "grpc") @@ -164,6 +188,13 @@ def _exporter_from_spec(spec: ExporterSpec) -> SpanExporter: return factory(spec) if kind in _IN_MEMORY_KINDS: return InMemorySpanExporter() + if kind in _OTLP_HTTP_JSON_KINDS: + from litellm.integrations.otel.plumbing.otlp_json import OTLPJsonSpanExporter + + return OTLPJsonSpanExporter( + endpoint=spec.traces_endpoint or _otlp_traces_endpoint(spec.endpoint), + headers=parse_headers(spec.headers), + ) if kind in _OTLP_HTTP_KINDS: from opentelemetry.exporter.otlp.proto.http.trace_exporter import ( OTLPSpanExporter as HTTPExporter, @@ -194,6 +225,555 @@ def _processor_for(exporter: SpanExporter, use_simple: bool | None) -> SpanProce return SimpleSpanProcessor(exporter) if use_simple else BatchSpanProcessor(exporter) +#: Distinct tenant destinations whose exporters stay alive. Each holds a connection +#: pool and a batch thread, so the cache is bounded and evicts least-recently-used. +_MAX_CACHED_DESTINATION_PROCESSORS: Final = 32 + +#: Workers closing shed destination processors, bounding the threads a tenant can +#: create by cycling its destination config. +_DRAIN_WORKERS: Final = 2 + +#: Shed processors waiting to be closed before the fan-out stops building new ones. +#: Each still owns a batch thread until its close returns, and a collector that never +#: answers makes every close take the exporter's full timeout, so past this many the +#: operator's exporter keeps the span instead (see ``deliverable``). +_MAX_PENDING_DRAINS: Final = 64 + +#: How long ``shutdown`` waits for spans already being forwarded, so teardown closes +#: no processor under one. Bounded: an exporter that never returns must not hold the +#: proxy open. +_SHUTDOWN_DRAIN_SECONDS: Final = 5.0 + +#: An exporter's account: its normalized endpoint and the credentials it presents. +_SinkKey = tuple[str, tuple[tuple[str, str], ...]] + +#: Header names that spell one credential two ways. Arize's operator exporter sends +#: ``space_id`` where a tenant destination sends ``arize-space-id``. +_CREDENTIAL_ALIASES: Final = MappingProxyType({"arize_space_id": "space_id"}) + + +class _DrainPool: + """Closes shed destination processors off the span-export path. + + ``shutdown`` flushes over the network and is reached from ``on_end``, so closing + one inline would let a single unreachable tenant collector stall every other + tenant's spans behind it. A fixed set of workers rather than a thread per + processor means a tenant cycling its destination config cannot spawn threads as + fast as it can send requests; slow shutdowns queue behind each other. + + The workers are daemons and belong to the fan-out that sheds the processors, so + neither an unreachable collector nor a lazily built process-wide singleton can + hold the proxy open on the way down. + """ + + def __init__( + self, + workers: int = _DRAIN_WORKERS, + pending: "queue.Queue[SpanProcessor | None] | None" = None, + capacity: int = _MAX_PENDING_DRAINS, + ) -> None: + self._workers: Final = workers + self._capacity: Final = capacity + self._lock: Final = threading.Lock() + self._closed = False + self._backlog = 0 # guarded by ``_lock``: submitted processors whose close has not returned + self._pending: Final[queue.Queue[SpanProcessor | None]] = pending if pending is not None else queue.Queue() + self._threads: Final = tuple( + threading.Thread(target=self._drain_until_closed, daemon=True, name="litellm-otel-destination-drain") + for _ in range(workers) + ) + for worker in self._threads: + worker.start() + + def submit(self, processor: SpanProcessor) -> None: + """Queue ``processor`` for closing, or hand it off once the pool is retired. + + The check and the put share one lock. Reading a closed flag on its own leaves + room for :meth:`close` to run in between, and the processor would land behind + the sentinels every worker has already exited on. + + Past close there is no worker left to take it, and the caller is whichever + thread just ended a span, so closing it inline would park that thread on a + network flush the shutdown deadline has already stopped waiting for. The extra + thread is bounded by the same close: the fan-out stops handing processors out + at that point, so only the ones already exporting when it happened arrive here. + """ + with self._lock: + if not self._closed: + self._backlog += 1 + self._pending.put(processor) + return + threading.Thread( + target=_shutdown_quietly, + args=(processor,), + daemon=True, + name="litellm-otel-destination-drain-straggler", + ).start() + + def saturated(self) -> bool: + """Whether enough closes are outstanding that building another processor must wait. + + The workers close in order and each close blocks for as long as its exporter + does, so a collector that stopped answering would otherwise turn every new + destination into one more batch thread parked behind them, for as long as the + tenants keep rotating. Holding the count here rather than reading the queue + keeps the two processors a worker is mid-close on in the total. + """ + with self._lock: + return self._backlog >= self._capacity + + def close(self, timeout: float | None = None) -> None: + """Retire the workers once they have closed everything already queued. + + A proxy that rebuilds its telemetry builds another fan-out, so workers that + outlive the one that started them are two more threads per reload, forever. + + ``timeout`` bounds how long the caller waits for that draining to finish. The + workers are daemons, so whatever is still flushing when it expires is dropped + by the interpreter rather than holding it open. + """ + with self._lock: + if self._closed: + return + self._closed = True + for _ in range(self._workers): + self._pending.put(None) + if timeout is None: + return + deadline: Final = time.monotonic() + timeout + for worker in self._threads: + worker.join(timeout=max(0.0, deadline - time.monotonic())) + + def _drain_until_closed(self) -> None: + while True: + processor: SpanProcessor | None = self._pending.get() # rebind-ok: loop variable + if processor is None: + return + _shutdown_quietly(processor) + with self._lock: + self._backlog -= 1 + + +_NO_ATTRIBUTES: Final[Mapping[str, AttributeValue]] = MappingProxyType({}) +_DB_SYSTEM_KEYS: Final = frozenset({DB.SYSTEM_NAME, DB.SYSTEM_LEGACY}) +# Keys on a database span that describe the proxy's own datastore: its host, its +# port, and its schema. +_DATASTORE_ENDPOINT_KEYS: Final = frozenset({Server.ADDRESS, Server.PORT, DB.NAMESPACE}) +# A span carrying one of these describes the tenant's own call (the model call, the +# MCP call, the guardrail), so its error text is theirs to see. Every other span is +# the proxy's own work, whose error text names the operator's infrastructure. +_TENANT_OWNED_KEYS: Final = frozenset({GenAI.OPERATION_NAME, MCP.METHOD_NAME, LiteLLM.GUARDRAIL_NAME}) +_PROXY_ERROR_TEXT_KEYS: Final = frozenset({Error.MESSAGE, Error.MESSAGE_LEGACY}) +# A guardrail that never answered carries the exception it raised as its response, +# which names the operator's guardrail endpoint. The second spelling is the legacy +# status the request-level logger still maps. +_GUARDRAIL_UNREACHABLE_STATUSES: Final = frozenset({"guardrail_failed_to_respond", "failure"}) +# Attribute prefixes the FastAPI instrumentor uses for headers the operator opted to +# capture (``OTEL_INSTRUMENTATION_HTTP_CAPTURE_HEADERS_SERVER_*``). The request +# side carries the caller's bearer token verbatim. +_CAPTURED_HEADER_PREFIXES: Final = ("http.request.header.", "http.response.header.") +# The instrumentor stamps the request URL on the server span with its query string, +# under the old convention and the new one, and litellm accepts a virtual key as a +# ``?key=`` query parameter. +_URL_KEYS: Final = frozenset({"http.url", "http.target", "url.full"}) +_URL_QUERY_KEY: Final = "url.query" + + +class _TenantSpanView(ReadableSpan): + """A ``ReadableSpan`` view for one destination, leaving the operator's own span alone.""" + + def __init__( + self, + inner: ReadableSpan, + resource: Resource, + attributes: Attributes, + events: Sequence[Event], + status: Status, + ) -> None: + super().__init__( + name=inner.name, + context=inner.context, + parent=inner.parent, + resource=resource, + attributes=attributes, + events=events, + links=inner.links, + kind=inner.kind, + status=status, + start_time=inner.start_time, + end_time=inner.end_time, + instrumentation_scope=inner.instrumentation_scope, + ) + + +def _is_database_span(attributes: Mapping[str, AttributeValue]) -> bool: + return any(key in attributes for key in _DB_SYSTEM_KEYS) + + +def _is_tenant_owned_span(attributes: Mapping[str, AttributeValue]) -> bool: + return any(key in attributes for key in _TENANT_OWNED_KEYS) + + +def _guardrail_unreachable(attributes: Mapping[str, AttributeValue]) -> bool: + return attributes.get(LiteLLM.GUARDRAIL_STATUS) in _GUARDRAIL_UNREACHABLE_STATUSES + + +def _tenant_visible(key: str, database: bool, owned: bool, unreachable_guardrail: bool) -> bool: + if key.startswith(_CAPTURED_HEADER_PREFIXES) or key in (LiteLLMError.STACK_TRACE, _URL_QUERY_KEY): + return False + if database and key in _DATASTORE_ENDPOINT_KEYS: + return False + if unreachable_guardrail and key == LiteLLM.GUARDRAIL_RESPONSE: + return False + return owned or key not in _PROXY_ERROR_TEXT_KEYS + + +def _without_query(key: str, value: AttributeValue) -> AttributeValue: + if key not in _URL_KEYS or not isinstance(value, str): + return value + return value.partition("?")[0] + + +def _same_attributes(kept: Mapping[str, AttributeValue], attributes: Mapping[str, AttributeValue]) -> bool: + return len(kept) == len(attributes) and all(kept[key] is value for key, value in attributes.items()) + + +def _without_stack_trace(event: Event) -> Event: + attributes: Final = event.attributes or _NO_ATTRIBUTES + if ExceptionEvent.STACKTRACE not in attributes: + return event + return Event( + name=event.name, + attributes=MappingProxyType( + {key: value for key, value in attributes.items() if key != ExceptionEvent.STACKTRACE} + ), + timestamp=event.timestamp, + ) + + +def _for_destination(span: ReadableSpan, destination: "OtelDestination") -> ReadableSpan: + """The view of ``span`` a tenant destination receives. + + A span the tenant's own call produced keeps its error text. Every other span is + the proxy's own work (the request root, auth, the database), and its error text, + its events and its status description come off, since a Prisma failure there + spells out the operator's Postgres endpoint. A database span loses that endpoint + too, and a guardrail that failed to respond loses its response text, which is the + exception it raised and names the operator's guardrail endpoint. Stack traces walk + the operator's install and come off every span, as do the headers the operator + captures on the server span, whose request side holds the caller's bearer token, + and the query string of the request URL, which can hold the same key. The span + itself stays, so the tenant still gets the whole trace tree. + """ + extra: Final = destination.resource_attributes + attributes: Final = span.attributes or _NO_ATTRIBUTES + database: Final = _is_database_span(attributes) + owned: Final = _is_tenant_owned_span(attributes) + unreachable: Final = _guardrail_unreachable(attributes) + kept: Final = MappingProxyType( + { + key: _without_query(key, value) + for key, value in attributes.items() + if _tenant_visible(key, database, owned, unreachable) + } + ) + recorded: Final = span.events + events: Final = tuple(_without_stack_trace(event) for event in recorded) if owned else () + unchanged: Final = owned and _same_attributes(kept, attributes) and all(a is b for a, b in zip(events, recorded)) + if not extra and unchanged: + return span + resource: Final = span.resource.merge(Resource(extra)) if extra else span.resource + status: Final = span.status if owned else Status(span.status.status_code) + return _TenantSpanView(span, resource, kept, events, status) + + +class TenantFanOutSpanProcessor(SpanProcessor): + """Export every finished span to each destination this request resolved. + + Destinations ride a request-scoped ``ContextVar`` set during auth, so concurrent + requests stay isolated. The forwarded view keeps the original trace and parent + ids, so the tenant gets the same tree the operator would have received. + + Exactly one provider carries this processor, the one published as the OTel global + (see :func:`attach_tenant_fan_out`). That provider is the only one every span + passes through: the FastAPI server span, the auth span and the post-call database + spans are emitted on the global, while a second v2 logger's provider sees only + that logger's own gen-AI span. Attaching the fan-out per logger would hand a + tenant a one-span trace whenever its backend is not the global one, and two + copies of the model call whenever it is. + """ + + def __init__( + self, + processor_factory: 'Callable[["OtelDestination"], SpanProcessor | None] | None' = None, + shutdown_drain_seconds: float = _SHUTDOWN_DRAIN_SECONDS, + operator_sinks: frozenset[_SinkKey] = frozenset(), + pending_drains: int = _MAX_PENDING_DRAINS, + drain_pool: _DrainPool | None = None, + ) -> None: + self._operator_sinks: Final = operator_sinks + self._drain_seconds: Final = shutdown_drain_seconds + self._lock: Final = threading.Condition() + self._closed = False # guarded by ``_lock``: an unlocked read races the teardown it gates + self._build: Final = processor_factory if processor_factory is not None else _destination_processor + self._processors: OrderedDict[object, SpanProcessor] = OrderedDict() # mutable-ok: bounded LRU + self._retired: OrderedDict[int, SpanProcessor] = OrderedDict() # mutable-ok: drains as exports finish + self._exporting: dict[int, int] = {} # mutable-ok: per-processor in-flight export count + self._drain: Final = drain_pool if drain_pool is not None else _DrainPool(capacity=pending_drains) + + def on_start(self, span: SDKSpan, parent_context: Context | None = None) -> None: + return None + + def on_end(self, span: ReadableSpan) -> None: + suppressed: Final = suppressed_backends() + for destination in request_destinations(): + if self._operator_already_writes(destination, suppressed): + continue + processor = self._acquire(destination) # rebind-ok: loop variable; pyright forbids Final in a loop + if processor is None: + continue + try: + processor.on_end(_for_destination(span, destination)) + except Exception as exc: # noqa: BLE001 # one destination's failure must not cost the others their span + verbose_logger.debug("OTel V2 fan-out: forwarding to %s failed: %s", destination.endpoint, exc) + finally: + self._release(processor) + + def _operator_already_writes(self, destination: "OtelDestination", suppressed: frozenset[str]) -> bool: + """Whether the operator's own exporter is sending this span to the same account. + + Only reachable under ``additive``, where nothing is suppressed: a team that + names the operator's own project would otherwise have every span written + there twice, once by the operator's exporter and once by the fan-out. + """ + return ( + destination.callback_name not in suppressed + and _sink_key(destination.endpoint, destination.headers) in self._operator_sinks + ) + + def shutdown(self) -> None: + """Close every destination processor, once the spans in flight have landed. + + ``on_end`` runs on whichever thread ends a span and can reach this fan-out + while the SDK is tearing the provider down, so closing blind would drop a + trace mid-forward and would hand the next caller a fresh exporter nothing + will ever close. Refusing new work and then waiting out the in-flight ones + keeps both from happening. A straggler past the bound is retired instead of + closed: the thread still exporting it closes it through the drain as soon as + its export returns, so no span is dropped mid-forward. + + Every close then goes to the drain rather than running here. Closing a + destination processor flushes it over the network and the SDK joins its own + worker with no timeout of its own, so one tenant collector that answers but + never finishes a response would otherwise hold process teardown open for as + long as it likes. The drain's workers are daemons, and the whole teardown + shares one deadline. + """ + deadline: Final = time.monotonic() + self._drain_seconds + with self._lock: + self._closed = True + self._lock.wait_for(lambda: not self._exporting, timeout=self._drain_seconds) + live: Final = tuple((id(p), p) for p in (*self._processors.values(), *self._retired.values())) + closing: Final = tuple(p for ident, p in live if ident not in self._exporting) + self._processors.clear() + self._retired = OrderedDict( # mutable-ok: the same bounded map, keeping only what is still exporting + (ident, p) for ident, p in live if ident in self._exporting + ) + for processor in closing: + self._drain.submit(processor) + self._drain.close(timeout=max(0.0, deadline - time.monotonic())) + + def force_flush(self, timeout_millis: int = 30000) -> bool: + results: Final = tuple(self._flush_one(processor, timeout_millis) for processor in self._snapshot()) + return all(results) + + def _snapshot(self) -> tuple[SpanProcessor, ...]: + with self._lock: + return (*self._processors.values(), *self._retired.values()) + + @staticmethod + def _flush_one(processor: SpanProcessor, timeout_millis: int) -> bool: + try: + return processor.force_flush(timeout_millis) + except Exception: # noqa: BLE001 # one exporter's flush failure must not fail the whole flush + return False + + def deliverable(self, destinations: Iterable["OtelDestination"]) -> tuple["OtelDestination", ...]: + """The subset of ``destinations`` this fan-out can actually export to. + + A destination whose exporter will not build (a protocol whose package is not + installed, a malformed endpoint) has to be dropped before the request anchors + it, not when its first span ends. By then the operator's own exporter has been + told to hold that backend's spans back for this request, so dropping there + loses the span outright instead of leaving it where it would have gone with no + override at all. + """ + return tuple(destination for destination in destinations if self._buildable(destination)) + + def _buildable(self, destination: "OtelDestination") -> bool: + """Whether a processor for ``destination`` exists or can be built right now.""" + with self._lock: + if self._closed: + return False + built: Final = self._cached_or_built_locked(destination, anchored=False) + drained: Final = self._drainable_locked() + for shed in drained: + self._drain.submit(shed) + return built is not None + + def _acquire(self, destination: "OtelDestination") -> SpanProcessor | None: + """The processor for ``destination``, marked busy until ``_release``. + + The build happens under the same lock that reads the cache, so a cold cache + met by a burst of concurrent requests yields one exporter rather than one per + thread with all but the winner shed. Building an exporter opens no connection, + so the cost of holding the lock is a constructor, once per destination. + """ + with self._lock: + if self._closed: + return None + processor: Final = self._cached_or_built_locked(destination, anchored=True) + if processor is None: + return None + self._exporting[id(processor)] = self._exporting.get(id(processor), 0) + 1 + drained: Final = self._drainable_locked() + for shed in drained: + self._drain.submit(shed) + return processor + + def _cached_or_built_locked(self, destination: "OtelDestination", *, anchored: bool) -> SpanProcessor | None: + """The cached processor for ``destination``, or a new one if the drain can take it. + + Every build past the cache cap sheds one processor into the drain, so while the + shed ones are stuck closing against a collector that stopped answering, a + destination that is not yet anchored is refused rather than parked behind them: + ``deliverable`` then leaves its spans with the operator's exporter until the + drain catches up. One the request already anchored is rebuilt regardless. The + operator's exporter has stood down for it, so refusing here would drop the span, + and other tenants' auths can evict it in the meantime, with that eviction being + what tips the drain over. Eviction holds while the drain is saturated, so such a + rebuild costs the cache one entry rather than shedding another processor, and + the total stays at one per destination in flight. + """ + key: Final = destination.cache_key() + if (cached := self._processors.get(key)) is not None: + self._processors.move_to_end(key) + self._retire_overflow_locked() + return cached + if not anchored and self._drain.saturated(): + verbose_logger.debug("OTel V2 fan-out: drain saturated, not building for %s", destination.endpoint) + return None + return self._build_locked(destination, key) + + def _build_locked(self, destination: "OtelDestination", key: object) -> SpanProcessor | None: + built: Final = self._build(destination) + if built is None: + return None + self._processors[key] = built + self._retire_overflow_locked() + return built + + def _release(self, processor: SpanProcessor) -> None: + with self._lock: + remaining: Final = self._exporting.get(id(processor), 1) - 1 + if remaining > 0: + self._exporting[id(processor)] = remaining + else: + self._exporting.pop(id(processor), None) + if not self._exporting: + self._lock.notify_all() + drained: Final = self._drainable_locked() + for retired in drained: + self._drain.submit(retired) + + def _retire_overflow_locked(self) -> None: + """Move the LRU processor out of the cache once it is past the cap, drain permitting. + + Eviction is what feeds the drain, and a destination a request already anchored + is rebuilt on its next span, which would shed another one. While the shed ones + are stuck closing against a collector that stopped answering, evicting would + churn the cache at one more processor, and one more batch thread, per span. + Holding above the cap instead keeps the total at one processor per destination + in flight, since ``deliverable`` anchors no new destination while the drain is + saturated. Once it has room again, every hit and build trims one entry. + """ + if len(self._processors) <= _MAX_CACHED_DESTINATION_PROCESSORS or self._drain.saturated(): + return + _, evicted = self._processors.popitem(last=False) + self._retired[id(evicted)] = evicted + + def _drainable_locked(self) -> tuple[SpanProcessor, ...]: + """Retired processors no thread is exporting through, removed from the list. + + ``on_end`` holds a processor across an export, so closing an evicted one there + drops the span it is holding. A retiree is out of the cache and can never be + handed out again, so once its export count reaches zero it stays there. + """ + idle: Final = tuple(key for key in self._retired if self._exporting.get(key, 0) == 0) + return tuple(self._retired.pop(key) for key in idle) + + +def _destination_processor(destination: "OtelDestination") -> SpanProcessor | None: + """A batching OTLP processor aimed at ``destination``, or ``None`` if unbuildable. + + A protocol that resolves to a headerless exporter is unbuildable too: the + console fallback would swallow the tenant's credentials and print its spans to + the proxy's stdout while the operator's exporter stands down for them. + """ + kind: Final = destination.protocol or "otlp_http" + if exporter_transport(kind) == "headerless": + verbose_logger.debug("OTel V2 fan-out: no OTLP transport for protocol %r at %s", kind, destination.endpoint) + return None + try: + spec: Final = ExporterSpec( + kind=kind, + endpoint=destination.endpoint, + headers=destination.header_string(), + owner=None, + ) + return _processor_for(_exporter_from_spec(spec), use_simple=False) + except Exception as exc: # noqa: BLE001 # a malformed destination must not break the request or the other destinations + verbose_logger.debug("OTel V2 fan-out: no processor for %s: %s", destination.endpoint, exc) + return None + + +def _shutdown_quietly(processor: SpanProcessor) -> None: + try: + processor.shutdown() + except Exception as exc: # noqa: BLE001 # defensive: shedding a spare processor must not raise + verbose_logger.debug("OTel V2 fan-out: discarding processor failed: %s", exc) + + +class _OverriddenBackendFilter(SpanProcessor): + """Hold a span back from ``owner``'s operator-level exporter when the request + pointed ``owner`` at a tenant's own account. + + Wrapping is the only place this works: ``SynchronousMultiSpanProcessor.on_end`` + ignores return values, so a sibling processor can never veto the export. + + Under ``additive`` mode nothing is suppressed, so the wrapper passes every span + straight through and the operator keeps its copy. + """ + + def __init__(self, inner: SpanProcessor, owner: str) -> None: + self._inner: Final = inner + self._owner: Final = owner + + def on_start(self, span: SDKSpan, parent_context: Context | None = None) -> None: + self._inner.on_start(span, parent_context) + + def on_end(self, span: ReadableSpan) -> None: + if self._owner in suppressed_backends(): + return + self._inner.on_end(span) + + def shutdown(self) -> None: + self._inner.shutdown() + + def force_flush(self, timeout_millis: int = 30000) -> bool: + return self._inner.force_flush(timeout_millis) + + def build_span_exporter(config: OpenTelemetryV2Config) -> SpanExporter: """Build a single exporter from the top-level config fields. @@ -444,6 +1024,7 @@ def build_tracer_provider( exporter: SpanExporter | None = None, baggage_processor: SpanProcessor | None = None, use_simple_processor: bool | None = None, + tenant_overrides: bool = False, ) -> TracerProvider: """Build the shared :class:`TracerProvider`. @@ -452,6 +1033,13 @@ def build_tracer_provider( ``config.exporters`` entry — this is what fans spans out to multiple backends. ``exporter`` and ``use_simple_processor`` are explicit overrides: pass a single exporter to attach exactly that one (used by tests). + + ``tenant_overrides`` wraps each owned exporter so a request that pointed that + backend at a key's or team's own account skips it. Every v2 logger's provider + wants it, since any of them may own the overridden backend; delivering to the + tenant is a separate job, done once by :func:`attach_tenant_fan_out`. The + per-tenant providers this same function builds must leave it off, or they would + filter out the very spans they exist to carry. """ provider: Final = TracerProvider(resource=build_resource(config)) if baggage_processor is None: @@ -468,15 +1056,107 @@ def build_tracer_provider( if spec.requires_headers and not spec.headers: continue exp = _exporter_from_spec(spec) + processor = _processor_for( + exp, + (spec.use_simple_processor if spec.use_simple_processor is not None else use_simple_processor), + ) + owner = spec.owner.value if spec.owner is not None else None provider.add_span_processor( - _processor_for( - exp, - (spec.use_simple_processor if spec.use_simple_processor is not None else use_simple_processor), - ) + _OverriddenBackendFilter(processor, owner) if tenant_overrides and owner is not None else processor ) return provider +_FAN_OUT_ATTACH_LOCK: Final = threading.Lock() + + +def attach_tenant_fan_out(provider: TracerProvider, *configs: OpenTelemetryV2Config) -> None: + """Give ``provider`` the fan-out that delivers spans to key/team destinations. + + Called on the one provider published as the OTel global, and idempotent so a + second publish (a test, a re-initialized proxy) cannot double-export. Concurrent + first calls (requests racing to anchor before any publish) serialize on one lock + so exactly one fan-out lands. ``configs`` name the operator's own exporters, one + config per v2 logger since each keeps its own provider and still writes its + account, so an additive destination pointing at any of them is delivered once + rather than twice. + """ + with _FAN_OUT_ATTACH_LOCK: + if any(isinstance(processor, TenantFanOutSpanProcessor) for processor in _attached_processors(provider)): + return + provider.add_span_processor(TenantFanOutSpanProcessor(operator_sinks=operator_sink_keys(*configs))) + + +def deliverable_destinations( + destinations: Iterable["OtelDestination"], + provider: trace.TracerProvider | None = None, +) -> tuple["OtelDestination", ...]: + """The destinations a request can anchor, given what is published to carry them. + + Anchoring a destination is what tells the operator's own exporter to stand down + for that backend, so one nothing can deliver has to be dropped here: with no + fan-out attached, or with an exporter that will not build, the request keeps + exactly the routing it would have had without any override. + """ + fan_out: Final = next( + ( + processor + for processor in _attached_processors(provider if provider is not None else trace.get_tracer_provider()) + if isinstance(processor, TenantFanOutSpanProcessor) + ), + None, + ) + return fan_out.deliverable(destinations) if fan_out is not None else () + + +def operator_sink_keys(*configs: OpenTelemetryV2Config) -> frozenset[_SinkKey]: + """The accounts the operator's own exporters write to, in destination terms. + + Every v2 logger's config counts, since each logger exports through its own + provider. An exporter with no endpoint of its own resolves one from the + environment at export time, so it has no comparable identity and is left out, + and so is one that never reaches the wire: a console kind ignores the endpoint, + and a header-gated spec with no credentials is skipped when the provider is built. + """ + return frozenset( + key + for config in configs + for spec in config.exporters + if _exports_to_the_wire(spec) and (key := _sink_key(spec.endpoint, parse_headers(spec.headers))) is not None + ) + + +def _exports_to_the_wire(spec: ExporterSpec) -> bool: + """Whether ``build_tracer_provider`` gives ``spec`` an exporter that sends OTLP.""" + return exporter_transport(spec.kind) != "headerless" and not (spec.requires_headers and not spec.headers) + + +def _sink_key(endpoint: str | None, headers: Mapping[str, str]) -> "_SinkKey | None": + """The account an exporter writes to, or ``None`` when it has no fixed one. + + Normalized on the three counts that make one account look like two: the operator's + spec carries the signal path a tenant destination leaves for the exporter to + append, header names survive one round trip lowercased and the other not, and one + credential answers to more than one name (see :data:`_CREDENTIAL_ALIASES`). + """ + normalized: Final = _otlp_traces_endpoint(endpoint) + if normalized is None: + return None + return (normalized, tuple(sorted((_credential_name(name), value) for name, value in headers.items()))) + + +def _credential_name(header: str) -> str: + """The credential a header carries, under whichever name the backend spells it.""" + normalized: Final = header.strip().lower().replace("-", "_") + return _CREDENTIAL_ALIASES.get(normalized, normalized) + + +def _attached_processors(provider: trace.TracerProvider) -> "tuple[SpanProcessor, ...]": + """The processors already on ``provider``, or empty when the SDK hides them.""" + multi: Final = getattr(provider, "_active_span_processor", None) + return tuple(getattr(multi, "_span_processors", ())) + + def get_tracer(provider: TracerProvider, name: str = "litellm") -> Tracer: # Stamp the instrumentation scope with the LiteLLM package version so every # emitted span carries a deterministic ``scope.version`` (the standard OTel diff --git a/litellm/integrations/otel/plumbing/routing.py b/litellm/integrations/otel/plumbing/routing.py index 227e18f3663..f78d18d943c 100644 --- a/litellm/integrations/otel/plumbing/routing.py +++ b/litellm/integrations/otel/plumbing/routing.py @@ -25,6 +25,7 @@ from opentelemetry.trace import Tracer from litellm._logging import verbose_logger from litellm.constants import OTEL_SERVICE_NAME_METADATA_KEYS from litellm.integrations.otel.model.config import ExporterSpec, OpenTelemetryV2Config +from litellm.integrations.otel.plumbing.context import destination_backends from litellm.integrations.otel.plumbing.providers import ( build_tracer_provider, exporter_transport, @@ -231,10 +232,21 @@ class TenantTracerCache: concurrent overflow eviction can't shut it down between selection and the caller's span start. The caller must ``release`` it exactly once. """ + # A backend with a destination is delivered by the fan-out processor, which + # carries the whole trace and already carries this tenant's credentials and + # service name. Routing here too would detach this span onto a second provider, + # so the tenant would get the request tree plus a stray one-span trace. + if self._callback_name is not None and self._callback_name in destination_backends(): + return TenantRoute(tracer=default, detached=False) credential_headers: Final = self._credential_headers(dynamic_params) project_headers: Final = self._project_headers(auth_metadata) service_name: Final = tenant_service_name(auth_metadata) - if not credential_headers and not project_headers and service_name is None: + tenant_account: Final = bool(credential_headers) or bool(project_headers) + # A service name on its own only relabels the operator's own backend, so moving + # the span to a second provider for it while some other backend has a + # destination would drop the model call out of the trace the fan-out delivers. + # The destination stamps the same service name itself. + if not tenant_account and (service_name is None or destination_backends()): return TenantRoute(tracer=default, detached=False) # A fixed per-integration region endpoint (New Relic us/eu), never a # caller-supplied host; ``None`` keeps the preset's own endpoint. @@ -255,7 +267,7 @@ class TenantTracerCache: _shutdown_provider(evicted) return TenantRoute( tracer=get_tracer(provider, self._tracer_name), - detached=bool(project_headers) or bool(credential_headers), + detached=tenant_account, provider=provider, ) diff --git a/litellm/integrations/otel/presets/agentops.py b/litellm/integrations/otel/presets/agentops.py index f45b1cd3cff..965213f2ee4 100644 --- a/litellm/integrations/otel/presets/agentops.py +++ b/litellm/integrations/otel/presets/agentops.py @@ -39,6 +39,7 @@ class _AgentOpsSettings(BaseSettings): def agentops_preset( *, config_overrides: OpenTelemetryV2Config | None = None, + allow_missing_credentials: bool = False, ) -> OpenTelemetryV2Config: """Build the AgentOps config without any network I/O. diff --git a/litellm/integrations/otel/presets/arize.py b/litellm/integrations/otel/presets/arize.py index ee0de675657..d7ce87f5552 100644 --- a/litellm/integrations/otel/presets/arize.py +++ b/litellm/integrations/otel/presets/arize.py @@ -26,10 +26,12 @@ class _ArizeSettings(BaseSettings): def arize_preset( *, config_overrides: OpenTelemetryV2Config | None = None, + allow_missing_credentials: bool = False, ) -> OpenTelemetryV2Config: + base: Final = config_overrides or OpenTelemetryV2Config() + mappers: Final = ensure_mappers(base.mapper_names, "openinference") arize_cfg: Final = _V1ArizeLogger.get_arize_config() headers: Final = _arize_headers(arize_cfg) - base: Final = config_overrides or OpenTelemetryV2Config() return base.model_copy( update={ "exporters": [ @@ -41,7 +43,7 @@ def arize_preset( owner=ExporterOwner.ARIZE_AX, ), ], - "mapper_names": ensure_mappers(base.mapper_names, "openinference"), + "mapper_names": mappers, "resource_attributes": { **base.resource_attributes, **({"model_id": arize_cfg.project_name} if arize_cfg.project_name else {}), diff --git a/litellm/integrations/otel/presets/base.py b/litellm/integrations/otel/presets/base.py index 3b9991f86a4..3a768a08a4f 100644 --- a/litellm/integrations/otel/presets/base.py +++ b/litellm/integrations/otel/presets/base.py @@ -18,6 +18,18 @@ class Preset(Protocol): ``config_overrides`` lets one preset layer onto another's config (or onto test-supplied defaults); the factory calls presets with no arguments. + + ``allow_missing_credentials`` lets a credential-mandatory backend (langfuse and + weave) degrade to an exporter-less, mapper-only config instead of raising when the + operator set no env credentials of their own. That is a real + deployment: every team brings its own account and the operator keeps none, and + without it the whole V2 path silently falls back to the legacy integration, so + no team destination is ever reached. Credential-optional backends ignore it. """ - def __call__(self, *, config_overrides: OpenTelemetryV2Config | None = None) -> OpenTelemetryV2Config: ... + def __call__( + self, + *, + config_overrides: OpenTelemetryV2Config | None = None, + allow_missing_credentials: bool = False, + ) -> OpenTelemetryV2Config: ... diff --git a/litellm/integrations/otel/presets/destinations.py b/litellm/integrations/otel/presets/destinations.py new file mode 100644 index 00000000000..2bf9bfa5261 --- /dev/null +++ b/litellm/integrations/otel/presets/destinations.py @@ -0,0 +1,152 @@ +"""Map a key's or team's callback vars to the OTLP destination its traces export to. + +Header building is delegated to each preset's existing ``*_dynamic_headers`` builder, +so a destination authenticates exactly the way the per-request tracer route already +did; only the endpoint and transport need a per-backend rule. +""" + +import os +from collections.abc import Callable, Mapping +from functools import lru_cache +from types import MappingProxyType +from typing import Final + +import litellm +from litellm._logging import verbose_logger +from litellm.integrations.otel.model.destination import OtelDestination +from litellm.litellm_core_utils.url_utils import is_url_destination_allowed_by_host +from litellm.types.utils import StandardCallbackDynamicParams + +#: An endpoint plus the OTLP transport to reach it with, or ``None`` when the backend +#: names no destination. The transport is ``None`` where the backend has only one. +_Destination = tuple[str, str | None] + + +@lru_cache(maxsize=128) +def _warn_host_not_allowlisted(host: str) -> None: + """Cached so one misconfigured team logs once rather than once per request.""" + verbose_logger.warning( + "OTel V2: not exporting to key/team Langfuse host '%s'. Add it to " + "litellm_settings.provider_url_destination_allowed_hosts to permit it", + host, + ) + + +def _langfuse_destination(params: StandardCallbackDynamicParams) -> "_Destination | None": + """The tenant's own Langfuse host, else the operator's, else Langfuse US cloud. + + A host the tenant named has to be allowlisted by the operator, the same way a + URL-valued ``model`` is: anyone who can mint a key can write it, and it becomes an + endpoint the proxy posts the request's whole trace to, carrying the tenant's own + credentials. The operator's own ``LANGFUSE_HOST`` is not checked, since an internal + collector there is a deployment choice. + """ + from litellm.integrations.langfuse.langfuse_otel import ( + LANGFUSE_CLOUD_US_ENDPOINT, + LangfuseOtelLogger, + ) + + tenant_host: Final = params.get("langfuse_host") or None + host: Final = tenant_host or LangfuseOtelLogger._get_langfuse_otel_host() # pyright: ignore[reportPrivateUsage] # reuse the backend's own env host resolver rather than duplicating it + if not host: + return (LANGFUSE_CLOUD_US_ENDPOINT, None) + normalized: Final = host if host.startswith("http") else f"https://{host}" + endpoint: Final = f"{normalized.rstrip('/')}/api/public/otel" + if tenant_host is None: + return (endpoint, None) + if not is_url_destination_allowed_by_host(endpoint, litellm.provider_url_destination_allowed_hosts): + _warn_host_not_allowlisted(host) + return None + return (endpoint, None) + + +def _arize_destination(params: StandardCallbackDynamicParams) -> "_Destination | None": + from litellm.integrations.arize.arize import ArizeLogger + + config: Final = ArizeLogger.get_arize_config() + return (config.endpoint, config.protocol) + + +def _weave_destination(params: StandardCallbackDynamicParams) -> "_Destination | None": + from litellm.integrations.weave.weave_otel import weave_otel_endpoint + + return (weave_otel_endpoint(os.environ.get("WANDB_HOST")), None) + + +def _newrelic_destination(params: StandardCallbackDynamicParams) -> "_Destination | None": + from litellm.integrations.otel.presets.newrelic import newrelic_dynamic_endpoint + + endpoint: Final = newrelic_dynamic_endpoint(params) + return (endpoint, None) if endpoint else None + + +#: Callback name -> destination resolver. A backend is destination-capable exactly +#: when it appears here AND in ``DYNAMIC_HEADERS_BY_CALLBACK``: without a header +#: builder the destination would carry no tenant credentials, and the exporter +#: would post the tenant's traffic to the operator's account. +_DESTINATION_BY_CALLBACK: Final[Mapping[str, Callable[[StandardCallbackDynamicParams], "_Destination | None"]]] = ( + MappingProxyType( + { + "langfuse_otel": _langfuse_destination, + "arize": _arize_destination, + "weave_otel": _weave_destination, + "newrelic": _newrelic_destination, + } + ) +) + +#: Headers a destination must carry to authenticate. Several dynamic-header builders +#: gate each credential independently, so a half-configured backend yields a non-empty +#: but unusable header set; accepting it would suppress the operator's own exporter and +#: send the request's whole trace where it cannot be stored. +_REQUIRED_HEADERS_BY_CALLBACK: Final[Mapping[str, frozenset[str]]] = MappingProxyType( + { + "langfuse_otel": frozenset({"Authorization"}), + "arize": frozenset({"arize-space-id", "api_key"}), + "weave_otel": frozenset({"Authorization", "project_id"}), + "newrelic": frozenset({"api-key"}), + } +) + +_NO_ATTRS: Final[Mapping[str, str]] = MappingProxyType({}) + + +def destination_capable_backends() -> frozenset[str]: + """Backends a key or team can point at its own account.""" + from litellm.integrations.otel.presets import DYNAMIC_HEADERS_BY_CALLBACK + + return frozenset(_DESTINATION_BY_CALLBACK) & frozenset(DYNAMIC_HEADERS_BY_CALLBACK) + + +def destination_for( + callback_name: str, + params: StandardCallbackDynamicParams, + service_name: str | None = None, +) -> OtelDestination | None: + """The destination ``params`` names for ``callback_name``, or ``None``. + + ``None`` means the caller configured nothing usable for this backend, so the + request keeps the operator's global exporters. ``service_name`` is the key's or + team's ``otel_service_name``, which the per-request tracer route applies when the + backend is not overridden and the destination has to apply once it is. + """ + from litellm.integrations.otel.presets import DYNAMIC_HEADERS_BY_CALLBACK + + header_builder: Final = DYNAMIC_HEADERS_BY_CALLBACK.get(callback_name) + destination_builder: Final = _DESTINATION_BY_CALLBACK.get(callback_name) + if header_builder is None or destination_builder is None: + return None + headers: Final = header_builder(params) + if not headers or not _REQUIRED_HEADERS_BY_CALLBACK[callback_name] <= frozenset(headers): + return None + resolved: Final = destination_builder(params) + if resolved is None: + return None + endpoint, protocol = resolved + return OtelDestination( + endpoint=endpoint, + headers=MappingProxyType(dict(headers)), # mutable-ok: MappingProxyType needs a concrete mapping to wrap + resource_attributes=MappingProxyType({"service.name": service_name}) if service_name else _NO_ATTRS, + callback_name=callback_name, + protocol=protocol, + ) diff --git a/litellm/integrations/otel/presets/langfuse.py b/litellm/integrations/otel/presets/langfuse.py index c2f64422eff..9149e0c0d94 100644 --- a/litellm/integrations/otel/presets/langfuse.py +++ b/litellm/integrations/otel/presets/langfuse.py @@ -10,17 +10,32 @@ from litellm.integrations.otel.model.config import ( ExporterSpec, OpenTelemetryV2Config, ) -from litellm.integrations.otel.presets.utils import ensure_mappers +from litellm.integrations.otel.presets.utils import ( + credential_gated_exporters, + ensure_mappers, +) from litellm.types.utils import StandardCallbackDynamicParams def langfuse_preset( *, config_overrides: OpenTelemetryV2Config | None = None, + allow_missing_credentials: bool = False, ) -> OpenTelemetryV2Config: - cfg: Final = _V1Langfuse.get_langfuse_otel_config() - kind: Final = cfg.exporter if isinstance(cfg.exporter, str) else "otlp_http" base: Final = config_overrides or OpenTelemetryV2Config() + mappers: Final = ensure_mappers(base.mapper_names, "langfuse") + try: + cfg: Final = _V1Langfuse.get_langfuse_otel_config() + except Exception: + if not allow_missing_credentials: + raise + return base.model_copy( + update={ # mutable-ok: pydantic model_copy takes a plain update mapping + "exporters": credential_gated_exporters(base.exporters, ExporterOwner.LANGFUSE_OTEL), + "mapper_names": mappers, + } + ) + kind: Final = cfg.exporter if isinstance(cfg.exporter, str) else "otlp_http" return base.model_copy( update={ "exporters": [ @@ -32,7 +47,7 @@ def langfuse_preset( owner=ExporterOwner.LANGFUSE_OTEL, ), ], - "mapper_names": ensure_mappers(base.mapper_names, "langfuse"), + "mapper_names": mappers, } ) diff --git a/litellm/integrations/otel/presets/langtrace.py b/litellm/integrations/otel/presets/langtrace.py index c88e4715ab0..2312575f04a 100644 --- a/litellm/integrations/otel/presets/langtrace.py +++ b/litellm/integrations/otel/presets/langtrace.py @@ -9,6 +9,7 @@ from litellm.integrations.otel.presets.utils import ensure_mappers def langtrace_preset( *, config_overrides: OpenTelemetryV2Config | None = None, + allow_missing_credentials: bool = False, ) -> OpenTelemetryV2Config: """Compose the Langtrace mapper on top of the customer's OTLP destination. diff --git a/litellm/integrations/otel/presets/levo.py b/litellm/integrations/otel/presets/levo.py index 41b3758cf3e..c1580cf7a5b 100644 --- a/litellm/integrations/otel/presets/levo.py +++ b/litellm/integrations/otel/presets/levo.py @@ -13,6 +13,7 @@ from litellm.integrations.otel.model.config import ( def levo_preset( *, config_overrides: OpenTelemetryV2Config | None = None, + allow_missing_credentials: bool = False, ) -> OpenTelemetryV2Config: cfg: Final = _V1Levo.get_levo_config() base: Final = config_overrides or OpenTelemetryV2Config() diff --git a/litellm/integrations/otel/presets/newrelic.py b/litellm/integrations/otel/presets/newrelic.py index 4660a707355..771b3f643c8 100644 --- a/litellm/integrations/otel/presets/newrelic.py +++ b/litellm/integrations/otel/presets/newrelic.py @@ -44,6 +44,7 @@ class _NewRelicSettings(BaseSettings): def newrelic_preset( *, config_overrides: OpenTelemetryV2Config | None = None, + allow_missing_credentials: bool = False, ) -> OpenTelemetryV2Config: settings: Final = _NewRelicSettings() base: Final = config_overrides or OpenTelemetryV2Config() diff --git a/litellm/integrations/otel/presets/phoenix.py b/litellm/integrations/otel/presets/phoenix.py index eef407b6c1b..f4f34ee7525 100644 --- a/litellm/integrations/otel/presets/phoenix.py +++ b/litellm/integrations/otel/presets/phoenix.py @@ -60,6 +60,7 @@ def phoenix_project_headers(auth_metadata: Mapping[str, str] | None) -> Mapping[ def phoenix_preset( *, config_overrides: OpenTelemetryV2Config | None = None, + allow_missing_credentials: bool = False, ) -> OpenTelemetryV2Config: cfg: Final = _V1Phoenix.get_arize_phoenix_config() headers: Final = cfg.otlp_auth_headers if hasattr(cfg, "otlp_auth_headers") else None diff --git a/litellm/integrations/otel/presets/utils.py b/litellm/integrations/otel/presets/utils.py index 328569d3daf..1270c41e77b 100644 --- a/litellm/integrations/otel/presets/utils.py +++ b/litellm/integrations/otel/presets/utils.py @@ -3,6 +3,8 @@ from collections.abc import Iterable from typing import Final +from litellm.integrations.otel.model.config import ExporterOwner, ExporterSpec + def ensure_mappers(mapper_names: Iterable[str], *names: str) -> list[str]: """Return ``mapper_names`` with each of ``names`` appended if not already present. @@ -15,3 +17,32 @@ def ensure_mappers(mapper_names: Iterable[str], *names: str) -> list[str]: if name not in result: result.append(name) return result + + +def credential_gated_exporters( + exporters: "Iterable[ExporterSpec]", owner: "ExporterOwner" +) -> "tuple[ExporterSpec, ...]": + """``exporters`` with the operator's destination replaced by a header-gated one. + + Used when a credential-mandatory backend is asked to build without the operator's + own credentials, so only key/team destinations receive spans. Two things have to + happen for that to mean "export nowhere": the placeholder console spec that + ``OpenTelemetryV2Config`` folds in for an empty exporter list is dropped, or every + span would be printed to stdout, and the gated spec keeps the owner so the + override filter still recognises which backend this provider speaks for. + """ + return ( + *(spec for spec in exporters if not is_unconfigured_placeholder(spec)), + ExporterSpec(owner=owner, requires_headers=True), + ) + + +def is_unconfigured_placeholder(spec: "ExporterSpec") -> bool: + """Whether ``spec`` is the one ``_normalize`` folds in when nothing was configured. + + No field set is what says the operator asked for nothing: an exporter they did + configure survives, even ``OTEL_EXPORTER=console`` whose value matches the default, + and so does the gated spec this module appends, which would otherwise eat itself + when one preset layers onto another. + """ + return not spec.model_fields_set diff --git a/litellm/integrations/otel/presets/weave.py b/litellm/integrations/otel/presets/weave.py index 51d0ad01093..644cd39ad36 100644 --- a/litellm/integrations/otel/presets/weave.py +++ b/litellm/integrations/otel/presets/weave.py @@ -7,7 +7,10 @@ from litellm.integrations.otel.model.config import ( ExporterSpec, OpenTelemetryV2Config, ) -from litellm.integrations.otel.presets.utils import ensure_mappers +from litellm.integrations.otel.presets.utils import ( + credential_gated_exporters, + ensure_mappers, +) from litellm.integrations.weave.weave_otel import ( _get_weave_authorization_header, get_weave_otel_config, @@ -18,9 +21,21 @@ from litellm.types.utils import StandardCallbackDynamicParams def weave_preset( *, config_overrides: OpenTelemetryV2Config | None = None, + allow_missing_credentials: bool = False, ) -> OpenTelemetryV2Config: - weave_cfg: Final = get_weave_otel_config() base: Final = config_overrides or OpenTelemetryV2Config() + mappers: Final = ensure_mappers(base.mapper_names, "openinference", "weave") + try: + weave_cfg: Final = get_weave_otel_config() + except Exception: + if not allow_missing_credentials: + raise + return base.model_copy( + update={ # mutable-ok: pydantic model_copy takes a plain update mapping + "exporters": credential_gated_exporters(base.exporters, ExporterOwner.WEAVE_OTEL), + "mapper_names": mappers, + } + ) return base.model_copy( update={ "exporters": [ @@ -33,7 +48,7 @@ def weave_preset( ), ], # Weave consumes OpenInference + a small Weave-specific overlay. - "mapper_names": ensure_mappers(base.mapper_names, "openinference", "weave"), + "mapper_names": mappers, } ) diff --git a/litellm/integrations/weave/weave_otel.py b/litellm/integrations/weave/weave_otel.py index f2cc64a9ba2..50289263f38 100644 --- a/litellm/integrations/weave/weave_otel.py +++ b/litellm/integrations/weave/weave_otel.py @@ -117,6 +117,14 @@ def _get_weave_authorization_header(api_key: str) -> str: return f"Basic {auth_header}" +def weave_otel_endpoint(host: str | None) -> str: + """The OTLP traces endpoint for a self-managed ``host``, else Weave cloud.""" + if not host: + return WEAVE_BASE_URL + WEAVE_OTEL_ENDPOINT + normalized: Final = host if host.startswith("http") else f"https://{host}" + return normalized.rstrip("/") + WEAVE_OTEL_ENDPOINT + + def get_weave_otel_config() -> WeaveOtelConfig: """ Retrieves the Weave OpenTelemetry configuration based on environment variables. @@ -134,7 +142,6 @@ def get_weave_otel_config() -> WeaveOtelConfig: """ api_key: Final = os.getenv("WANDB_API_KEY") project_id: Final = os.getenv("WANDB_PROJECT_ID") - host = os.getenv("WANDB_HOST") if not api_key: raise ValueError("WANDB_API_KEY must be set for Weave OpenTelemetry integration.") @@ -144,15 +151,8 @@ def get_weave_otel_config() -> WeaveOtelConfig: "WANDB_PROJECT_ID must be set for Weave OpenTelemetry integration. Format: /" ) - if host: - if not host.startswith("http"): - host = "https://" + host - # Self-managed instances use a different path - endpoint = host.rstrip("/") + WEAVE_OTEL_ENDPOINT - verbose_logger.debug("Using Weave OTEL endpoint from host: %s", endpoint) - else: - endpoint = WEAVE_BASE_URL + WEAVE_OTEL_ENDPOINT - verbose_logger.debug("Using Weave cloud endpoint: %s", endpoint) + endpoint: Final = weave_otel_endpoint(os.getenv("WANDB_HOST")) + verbose_logger.debug("Using Weave OTEL endpoint: %s", endpoint) # Weave uses Basic auth with format: api: auth_header: Final = _get_weave_authorization_header(api_key=api_key) diff --git a/litellm/litellm_core_utils/get_model_cost_map.py b/litellm/litellm_core_utils/get_model_cost_map.py index ba8738c8de0..91a22144805 100644 --- a/litellm/litellm_core_utils/get_model_cost_map.py +++ b/litellm/litellm_core_utils/get_model_cost_map.py @@ -2,6 +2,7 @@ Pulls the cost + context window + provider route for known models from https://github.com/BerriAI/litellm/blob/main/model_prices_and_context_window.json This can be disabled by setting the LITELLM_LOCAL_MODEL_COST_MAP environment variable to True. +The ``lite`` and ``litellm-proxy`` CLI entry points also use the bundled map without fetching. ``` export LITELLM_LOCAL_MODEL_COST_MAP=True @@ -9,17 +10,22 @@ export LITELLM_LOCAL_MODEL_COST_MAP=True """ import asyncio +import hashlib import json import os import random +import sys +import threading import time from collections.abc import Awaitable, Callable -from dataclasses import dataclass +from dataclasses import dataclass, replace from datetime import datetime, timezone from importlib.resources import files +from pathlib import Path from typing import Final, Protocol import httpx +from typing_extensions import ReadOnly, TypedDict from litellm import verbose_logger from litellm.constants import ( @@ -31,6 +37,12 @@ from litellm.litellm_core_utils.fallback_generalizations import ( ) FALLBACK_GENERALIZATIONS_KEY: Final = "fallback_generalizations" +_CLI_ENTRYPOINT_NAMES: Final = frozenset({"lite", "litellm-proxy"}) + + +def _is_cli_process() -> bool: + return Path(sys.argv[0]).stem in _CLI_ENTRYPOINT_NAMES + # Reserved top-level keys that are not model entries. They must be excluded # from the model-count integrity check so a real upstream shrink can't be masked. @@ -42,6 +54,10 @@ def _count_model_entries(model_cost: dict) -> int: return sum(1 for key in model_cost if key not in RESERVED_TOP_LEVEL_KEYS) +def git_blob_id(body: bytes) -> str: + return hashlib.sha1(b"blob %d\0" % len(body) + body, usedforsecurity=False).hexdigest() + + class GetModelCostMap: """ Handles fetching, validating, and loading the model cost map. @@ -53,15 +69,24 @@ class GetModelCostMap: _backup_model_count: int = -1 # -1 = not yet loaded + @staticmethod + def read_local_model_cost_map_bytes() -> bytes: + return files("litellm").joinpath("model_prices_and_context_window_backup.json").read_bytes() + @staticmethod def read_local_model_cost_map_text() -> str: - return files("litellm").joinpath("model_prices_and_context_window_backup.json").read_text(encoding="utf-8") + return GetModelCostMap.read_local_model_cost_map_bytes().decode("utf-8") + + @staticmethod + def load_local_model_cost_map_with_revision() -> "ModelCostMapReloaded": + body: Final = GetModelCostMap.read_local_model_cost_map_bytes() + content: Final = json.loads(body) + return ModelCostMapReloaded(model_cost_map=content, revision=git_blob_id(body)) @staticmethod def load_local_model_cost_map() -> dict: """Load the local backup model cost map bundled with the package.""" - content: Final = json.loads(GetModelCostMap.read_local_model_cost_map_text()) - return content + return GetModelCostMap.load_local_model_cost_map_with_revision().model_cost_map @classmethod def _get_backup_model_count(cls) -> int: @@ -161,11 +186,18 @@ class GetModelCostMap: RETRYABLE_FETCH_STATUS_CODES: Final = frozenset({429, 500, 502, 503, 504}) MODEL_COST_MAP_FETCH_MAX_ATTEMPTS: Final = 3 MODEL_COST_MAP_FETCH_MAX_WAIT_SECONDS: Final = 30.0 +_litellm_import_complete = threading.Event() + + +def mark_litellm_import_complete() -> None: + _litellm_import_complete.set() @dataclass(frozen=True, slots=True) class ModelCostMapReloaded: model_cost_map: dict # mutable-ok: adopted as litellm.model_cost, whose consumer contract is a plain mutable dict + revision: str | None = None + etag: str | None = None @dataclass(frozen=True, slots=True) @@ -254,7 +286,9 @@ def _classify_fetch_response(response: httpx.Response, url: str) -> _FetchAttemp return ModelCostMapReloadUnavailable(reason=f"invalid JSON from {url}: {e}") if not isinstance(parsed, dict): return ModelCostMapReloadUnavailable(reason=f"expected a JSON object from {url}, got {type(parsed).__name__}") - return ModelCostMapReloaded(model_cost_map=parsed) + return ModelCostMapReloaded( + model_cost_map=parsed, revision=git_blob_id(response.content), etag=response.headers.get("etag") + ) def _next_retry_wait( @@ -295,12 +329,13 @@ async def _fetch_remote_model_cost_map_with_retry( def _fetch_remote_model_cost_map_with_retry_sync( url: str, timeout: int, - max_attempts: int, + attempts: range, sleep: Callable[[float], None], rng: random.Random, client: _SyncGetClient, ) -> ModelCostMapReloadResult: - for attempt in range(1, max_attempts + 1): + max_attempts: Final = attempts.stop - 1 + for attempt in attempts: outcome = _attempt_fetch_sync(client=client, url=url, timeout=timeout) if not isinstance(outcome, _FetchAttemptRetryable): return outcome @@ -328,13 +363,12 @@ async def refetch_model_cost_map( map they already have. """ if os.getenv("LITELLM_LOCAL_MODEL_COST_MAP", "").lower() == "true": + _cost_map_source_info.loaded_at = datetime.now(timezone.utc) _cost_map_source_info.source = "local" _cost_map_source_info.url = None _cost_map_source_info.is_env_forced = True _cost_map_source_info.fallback_reason = None - return ModelCostMapReloaded( - model_cost_map=_finalize_model_cost_map(GetModelCostMap.load_local_model_cost_map()) - ) + return _finalize_loaded_model_cost_map(GetModelCostMap.load_local_model_cost_map_with_revision()) result: Final = await _fetch_remote_model_cost_map_with_retry( url=url, @@ -355,11 +389,12 @@ async def refetch_model_cost_map( backup_model_count=GetModelCostMap._get_backup_model_count(), ): return ModelCostMapReloadUnavailable(reason=f"model cost map from {url} failed integrity validation") + _cost_map_source_info.loaded_at = datetime.now(timezone.utc) _cost_map_source_info.source = "remote" _cost_map_source_info.url = url _cost_map_source_info.is_env_forced = False _cost_map_source_info.fallback_reason = None - return ModelCostMapReloaded(model_cost_map=_finalize_model_cost_map(result.model_cost_map)) + return _finalize_loaded_model_cost_map(result) class ModelCostMapSourceInfo: @@ -370,13 +405,35 @@ class ModelCostMapSourceInfo: is_env_forced: bool = False fallback_reason: str | None = None loaded_at: "datetime | None" = None + source_revision: str | None = None + etag: str | None = None # Module-level singleton tracking the source of the current cost map _cost_map_source_info: Final = ModelCostMapSourceInfo() -def get_model_cost_map_source_info() -> dict: +class CostMapProvenance(TypedDict): + source_revision: ReadOnly[str | None] + etag: ReadOnly[str | None] + + +class CostMapSourceInfo(CostMapProvenance): + source: ReadOnly[str] + url: ReadOnly[str | None] + is_env_forced: ReadOnly[bool] + fallback_reason: ReadOnly[str | None] + loaded_at: ReadOnly[str | None] + + +def get_model_cost_map_provenance() -> CostMapProvenance: + return { + "source_revision": _cost_map_source_info.source_revision, + "etag": _cost_map_source_info.etag, + } + + +def get_model_cost_map_source_info() -> CostMapSourceInfo: """ Return metadata about where the current model cost map was loaded from. @@ -385,12 +442,19 @@ def get_model_cost_map_source_info() -> dict: - url: the remote URL attempted (or None for local-only) - is_env_forced: True if LITELLM_LOCAL_MODEL_COST_MAP=True forced local usage - fallback_reason: human-readable reason if remote failed and local was used + - loaded_at: ISO 8601 time this process last loaded the map + - source_revision: git blob id of the loaded file's bytes + - etag: the ETag of the remote fetch (None for the bundled backup) """ + loaded_at: Final = _cost_map_source_info.loaded_at return { "source": _cost_map_source_info.source, "url": _cost_map_source_info.url, "is_env_forced": _cost_map_source_info.is_env_forced, "fallback_reason": _cost_map_source_info.fallback_reason, + "loaded_at": loaded_at.isoformat() if loaded_at is not None else None, + "source_revision": _cost_map_source_info.source_revision, + "etag": _cost_map_source_info.etag, } @@ -466,6 +530,74 @@ def _finalize_model_cost_map(model_cost: dict) -> dict: return _expand_model_aliases(model_cost) +def _finalize_loaded_model_cost_map(loaded: ModelCostMapReloaded) -> ModelCostMapReloaded: + _cost_map_source_info.source_revision = loaded.revision + _cost_map_source_info.etag = loaded.etag + return replace(loaded, model_cost_map=_finalize_model_cost_map(loaded.model_cost_map)) + + +def adopt_model_cost_map( + new_model_cost_map: dict, # mutable-ok: public API preserves the mutable cost-map contract +) -> int: + import litellm + from litellm import utils + + litellm.model_cost = new_model_cost_map + utils._invalidate_model_cost_lowercase_map() # pyright: ignore[reportPrivateUsage] # required cache invalidation + litellm.add_known_models(model_cost_map=new_model_cost_map) + fetched_model_count: Final = len(new_model_cost_map) if new_model_cost_map else 0 + utils.reapply_runtime_model_cost_registrations() + return fetched_model_count + + +def _retry_remote_fetch_in_background( + url: str, + timeout: int, + max_attempts: int, + sleep: Callable[[float], None], + rng: random.Random, + client: _SyncGetClient, + first_outcome: _FetchAttemptRetryable, +) -> None: + try: + first_wait: Final = _next_retry_wait(outcome=first_outcome, attempt=1, max_attempts=max_attempts, rng=rng) + if isinstance(first_wait, ModelCostMapReloadUnavailable): + return + sleep(first_wait) + result: Final = _fetch_remote_model_cost_map_with_retry_sync( + url=url, + timeout=timeout, + attempts=range(2, max_attempts + 1), + sleep=sleep, + rng=rng, + client=client, + ) + if isinstance(result, ModelCostMapReloadUnavailable): + verbose_logger.warning( + "LiteLLM: Failed to fetch remote model cost map from %s after %d attempts; keeping local backup", + url, + max_attempts, + ) + return + _litellm_import_complete.wait() + if not GetModelCostMap.validate_model_cost_map( + fetched_map=result.model_cost_map, + backup_model_count=GetModelCostMap._get_backup_model_count(), # pyright: ignore[reportPrivateUsage] # integrity cache + ): + verbose_logger.warning( + "LiteLLM: Fetched model cost map failed integrity check. Using local backup instead. url=%s", + url, + ) + return + finalized: Final = _finalize_loaded_model_cost_map(result).model_cost_map + _cost_map_source_info.source = "remote" + _cost_map_source_info.fallback_reason = None + _cost_map_source_info.loaded_at = datetime.now(timezone.utc) + adopt_model_cost_map(finalized) + except Exception as e: # noqa: BLE001 # a failed background retry must not kill the task; the backup stays + verbose_logger.warning("LiteLLM: Background model cost map retry failed: %s", e) + + def get_model_cost_map( url: str, timeout: int = 5, @@ -477,10 +609,12 @@ def get_model_cost_map( """ Public entry point — returns the model cost map dict. - 1. If ``LITELLM_LOCAL_MODEL_COST_MAP`` is set, uses the local backup only. + 1. If ``LITELLM_LOCAL_MODEL_COST_MAP`` is set or this is a ``lite`` / + ``litellm-proxy`` CLI process, uses the local backup only. 2. Otherwise fetches from ``url``, retrying transient HTTP errors - (429/5xx/transport) with Retry-After-aware backoff, validates - integrity, and falls back to the local backup on any failure. + (429/5xx/transport) with Retry-After-aware backoff in a background + thread, validates integrity, and falls back to the local backup on any + failure. Only the backup model count is cached (a single int) for validation. The full backup dict is only parsed when it must be *returned* as a @@ -489,34 +623,44 @@ def get_model_cost_map( _cost_map_source_info.loaded_at = datetime.now(timezone.utc) # Note: can't use get_secret_bool here — this runs during litellm.__init__ # before litellm._key_management_settings is set. - if os.getenv("LITELLM_LOCAL_MODEL_COST_MAP", "").lower() == "true": + if os.getenv("LITELLM_LOCAL_MODEL_COST_MAP", "").lower() == "true" or _is_cli_process(): _cost_map_source_info.source = "local" _cost_map_source_info.url = None _cost_map_source_info.is_env_forced = True _cost_map_source_info.fallback_reason = None - return _finalize_model_cost_map(GetModelCostMap.load_local_model_cost_map()) + return _finalize_loaded_model_cost_map(GetModelCostMap.load_local_model_cost_map_with_revision()).model_cost_map _cost_map_source_info.url = url _cost_map_source_info.is_env_forced = False - result: Final = _fetch_remote_model_cost_map_with_retry_sync( - url=url, - timeout=timeout, - max_attempts=max_attempts, - sleep=sleep, - rng=rng if rng is not None else random.Random(), - client=client if client is not None else httpx, - ) - if isinstance(result, ModelCostMapReloadUnavailable): + fetch_client: Final = client if client is not None else httpx + fetch_rng: Final = rng if rng is not None else random.Random() + outcome: Final = _attempt_fetch_sync(client=fetch_client, url=url, timeout=timeout) + if isinstance(outcome, _FetchAttemptRetryable) and max_attempts > 1: + threading.Thread( + target=_retry_remote_fetch_in_background, + kwargs={ # mutable-ok: threading requires a mutable keyword-arguments mapping + "url": url, + "timeout": timeout, + "max_attempts": max_attempts, + "sleep": sleep, + "rng": fetch_rng, + "client": fetch_client, + "first_outcome": outcome, + }, + name="litellm-model-cost-map-retry", + daemon=True, + ).start() + if not isinstance(outcome, ModelCostMapReloaded): verbose_logger.warning( "LiteLLM: Failed to fetch remote model cost map from %s: %s. Falling back to local backup.", url, - result.reason, + outcome.reason, ) _cost_map_source_info.source = "local" - _cost_map_source_info.fallback_reason = f"Remote fetch failed: {result.reason}" - return _finalize_model_cost_map(GetModelCostMap.load_local_model_cost_map()) - content: Final = result.model_cost_map + _cost_map_source_info.fallback_reason = f"Remote fetch failed: {outcome.reason}" + return _finalize_loaded_model_cost_map(GetModelCostMap.load_local_model_cost_map_with_revision()).model_cost_map + content: Final = outcome.model_cost_map # Validate using cached count (cheap int comparison, no file I/O) if not GetModelCostMap.validate_model_cost_map( @@ -529,8 +673,8 @@ def get_model_cost_map( ) _cost_map_source_info.source = "local" _cost_map_source_info.fallback_reason = "Remote data failed integrity validation" - return _finalize_model_cost_map(GetModelCostMap.load_local_model_cost_map()) + return _finalize_loaded_model_cost_map(GetModelCostMap.load_local_model_cost_map_with_revision()).model_cost_map _cost_map_source_info.source = "remote" _cost_map_source_info.fallback_reason = None - return _finalize_model_cost_map(content) + return _finalize_loaded_model_cost_map(outcome).model_cost_map diff --git a/litellm/litellm_core_utils/litellm_logging.py b/litellm/litellm_core_utils/litellm_logging.py index c5fcf0bd2a0..e6b2bb164ef 100644 --- a/litellm/litellm_core_utils/litellm_logging.py +++ b/litellm/litellm_core_utils/litellm_logging.py @@ -202,6 +202,8 @@ if TYPE_CHECKING: from mcp.types import EmbeddedResource, ImageContent, TextContent from litellm.integrations.otel.logger import OpenTelemetryV2 + from litellm.integrations.otel.model.config import ExporterSpec, OpenTelemetryV2Config + from litellm.litellm_core_utils.llm_cost_calc.utils import BilledTokenRates from litellm.llms.base_llm.passthrough.transformation import BasePassthroughConfig try: from litellm_enterprise.enterprise_callbacks.callback_controls import ( @@ -589,6 +591,7 @@ class Logging(LiteLLMLoggingBaseClass): # Initialize cost breakdown field self.cost_breakdown: CostBreakdown | None = None + self.billed_token_rates: BilledTokenRates | None = None # Init Caching related details self.caching_details: CachingDetails | None = None @@ -1586,6 +1589,7 @@ class Logging(LiteLLMLoggingBaseClass): service_tier: str | None = None, data_residency: str | None = None, vertex_location: str | None = None, + billed_token_rates: "BilledTokenRates | None" = None, ) -> None: """ Helper method to store cost breakdown in the logging object. @@ -1605,8 +1609,10 @@ class Logging(LiteLLMLoggingBaseClass): service_tier: Tier the costs above were priced on, already resolved data_residency: Region uplift the costs above were priced on, already resolved vertex_location: Vertex AI location the costs above were priced on, already resolved + billed_token_rates: Per-token rates the costs above were billed at, already resolved """ + self.billed_token_rates = billed_token_rates self.cost_breakdown = CostBreakdown( input_cost=input_cost, output_cost=output_cost, @@ -4850,31 +4856,83 @@ def _maybe_construct_otel_v2(callback_name: str, _in_memory_loggers: list[Custom Returns ``None`` when V2 is off OR when there's no preset registered for ``callback_name`` — callers should then fall through to the legacy path. + + A preset that needs operator credentials it cannot find is allowed to build + only when this request has a key/team destination for that backend and another + V2 logger is already registered to carry the fan-out. The resulting logger keeps + only its credential-gated exporter, while the registered logger owns operator + delivery. Without that carrier, a preset that raises or that ends up with nothing + but its gated exporter and the default console placeholder returns ``None``, so the + caller falls through to the legacy path exactly as before V2 landed. """ from litellm.integrations.otel.model.config import is_otel_v2_enabled if not is_otel_v2_enabled(): return None from litellm.integrations.otel.logger import OpenTelemetryV2, build_otel_v2_logger + from litellm.integrations.otel.plumbing.context import destination_backends from litellm.integrations.otel.presets import PRESET_BY_CALLBACK preset_fn: Final = PRESET_BY_CALLBACK.get(callback_name) if preset_fn is None: return None + serves_a_destination: Final = callback_name in destination_backends() + has_v2_logger: Final = any(isinstance(callback, OpenTelemetryV2) for callback in _in_memory_loggers) + carried: Final = serves_a_destination and has_v2_logger for callback in _in_memory_loggers: - if isinstance(callback, OpenTelemetryV2) and getattr(callback, "callback_name", None) == callback_name: + if ( + isinstance(callback, OpenTelemetryV2) + and getattr(callback, "callback_name", None) == callback_name + and (serves_a_destination or not _exports_nowhere(callback.config)) + ): return callback try: - config: Final = preset_fn() + built: Final = preset_fn(allow_missing_credentials=carried) except Exception: # If env vars are missing or the preset raises, defer to the legacy path # so customers get the same error story they had before V2 landed. return None + gated: Final = _is_credential_gated(built) + if gated and not carried and not _has_operator_exporter(built): + return None + config: Final = _only_the_gated_exporter(built) if gated and carried else built + if _exports_nowhere(config): + verbose_logger.warning( + "OTel V2: no operator credentials for '%s'; only key/team destinations will receive its traces", + callback_name, + ) v2_logger: Final = build_otel_v2_logger(config=config, callback_name=callback_name) _in_memory_loggers.append(v2_logger) return v2_logger +def _exports_nowhere(config: "OpenTelemetryV2Config") -> bool: + """Whether every exporter in ``config`` is waiting on credentials it never got.""" + return all(_is_gated(spec) for spec in config.exporters) + + +def _is_credential_gated(config: "OpenTelemetryV2Config") -> bool: + """Whether the preset built without the operator's own credentials for its backend.""" + return any(_is_gated(spec) for spec in config.exporters) + + +def _has_operator_exporter(config: "OpenTelemetryV2Config") -> bool: + """Whether the operator configured somewhere real to export, beyond the default console placeholder.""" + from litellm.integrations.otel.presets.utils import is_unconfigured_placeholder + + return any(not _is_gated(spec) and not is_unconfigured_placeholder(spec) for spec in config.exporters) + + +def _only_the_gated_exporter(config: "OpenTelemetryV2Config") -> "OpenTelemetryV2Config": + return config.model_copy( + update={"exporters": [spec for spec in config.exporters if _is_gated(spec)]} # mutable-ok: model_copy update + ) + + +def _is_gated(spec: "ExporterSpec") -> bool: + return spec.requires_headers and not spec.headers + + def _maybe_auto_initialize_arize_phoenix(_in_memory_loggers: list[CustomLogger]) -> None: """ Auto-initialize ArizePhoenixLogger when Phoenix env vars are detected. diff --git a/litellm/litellm_core_utils/llm_cost_calc/utils.py b/litellm/litellm_core_utils/llm_cost_calc/utils.py index 68dc27ec25e..e5977ca4156 100644 --- a/litellm/litellm_core_utils/llm_cost_calc/utils.py +++ b/litellm/litellm_core_utils/llm_cost_calc/utils.py @@ -10,6 +10,7 @@ from typing import Any, Final, Literal, TypedDict, cast from zoneinfo import ZoneInfo, ZoneInfoNotFoundError import litellm +from litellm._internal_context import current_billing_time from litellm._logging import verbose_logger from litellm.litellm_core_utils.llm_cost_calc.tiered_pricing import ( select_tier_for_input, @@ -19,6 +20,7 @@ from litellm.types.utils import ( CacheCreationTokenDetails, CallTypes, CompletionTokensDetailsWrapper, + CostPerToken, DataResidency, ImageResponse, ModelInfo, @@ -305,7 +307,7 @@ def _is_within_off_peak_window(off_peak_hours_utc: str | Sequence[str], current_ than being localised, so callers must pass datetime.now(timezone.utc), never datetime.now(), or every window shifts by the host's offset. """ - reference: Final = current_time if current_time is not None else datetime.now(timezone.utc) + reference: Final = current_time if current_time is not None else current_billing_time() now: Final = (reference.astimezone(timezone.utc) if reference.tzinfo is not None else reference).time() windows: Final = (off_peak_hours_utc,) if isinstance(off_peak_hours_utc, str) else off_peak_hours_utc for window in windows: @@ -392,7 +394,7 @@ def _is_off_peak(off_peak: Mapping[str, object], current_time: datetime | None = rules: the flat hours_utc windows, which apply every day, or any entry in windows, whose hours apply only on its weekdays. """ - reference: Final = current_time if current_time is not None else datetime.now(timezone.utc) + reference: Final = current_time if current_time is not None else current_billing_time() reference_utc: Final = ( reference.astimezone(timezone.utc) if reference.tzinfo is not None else reference.replace(tzinfo=timezone.utc) ) @@ -780,6 +782,7 @@ class PromptTokensDetailsResult(TypedDict): image_count: int video_length_seconds: float audio_length_seconds: float + query_count: int def parse_prompt_tokens_details(usage: Usage) -> PromptTokensDetailsResult: @@ -828,6 +831,7 @@ def parse_prompt_tokens_details(usage: Usage) -> PromptTokensDetailsResult: ) or 0.0 ) + query_count: Final = _coerce_token_count(getattr(usage.prompt_tokens_details, "query_count", 0)) return PromptTokensDetailsResult( cache_hit_tokens=cache_hit_tokens, @@ -841,6 +845,7 @@ def parse_prompt_tokens_details(usage: Usage) -> PromptTokensDetailsResult: image_count=image_count, video_length_seconds=float(video_length_seconds), audio_length_seconds=float(audio_length_seconds), + query_count=query_count, ) @@ -978,6 +983,11 @@ def _calculate_input_cost( prompt_tokens_details["audio_length_seconds"], ) + if prompt_tokens_details["query_count"]: + prompt_cost += calculate_cost_component( + model_info, "input_cost_per_query", prompt_tokens_details["query_count"] + ) + return prompt_cost @@ -1149,6 +1159,7 @@ def generic_cost_per_token( image_count=0, video_length_seconds=0.0, audio_length_seconds=0.0, + query_count=0, ) if usage.prompt_tokens_details: prompt_tokens_details = parse_prompt_tokens_details(usage) @@ -1186,7 +1197,7 @@ def generic_cost_per_token( usage.prompt_tokens - cache_hit - audio_tokens - cache_creation - image_tokens - video_tokens, 0 ) - billing_time: Final = current_time if current_time is not None else datetime.now(timezone.utc) + billing_time: Final = current_time if current_time is not None else current_billing_time() ( prompt_base_cost, completion_base_cost, @@ -1300,42 +1311,90 @@ def _coerce_token_count(value: object) -> int: return value if isinstance(value, int) and value > 0 else 0 +@dataclass(frozen=True, slots=True) +class BilledTokenRates: + """Per-token rates one request's usage bills at, after token tiers, off-peak windows and the + regional multipliers the totals apply, so each cost line equals its token count times its rate.""" + + input_cost_per_token: float + output_cost_per_token: float + cache_read_input_token_cost: float + cache_creation_input_token_cost: float + cache_creation_input_token_cost_above_1hr: float + output_cost_per_reasoning_token: float + + def scaled(self, multiplier: float) -> "BilledTokenRates": + if multiplier == 1.0: + return self + return BilledTokenRates( + input_cost_per_token=self.input_cost_per_token * multiplier, + output_cost_per_token=self.output_cost_per_token * multiplier, + cache_read_input_token_cost=self.cache_read_input_token_cost * multiplier, + cache_creation_input_token_cost=self.cache_creation_input_token_cost * multiplier, + cache_creation_input_token_cost_above_1hr=self.cache_creation_input_token_cost_above_1hr * multiplier, + output_cost_per_reasoning_token=self.output_cost_per_reasoning_token * multiplier, + ) + + @dataclass(frozen=True, slots=True) class TokenTypeCostBreakdown: reasoning_cost: float cache_read_cost: float cache_creation_cost: float + rates: BilledTokenRates | None = None + """Rates these lines were billed at, so a caller reporting both cannot resolve them a second, + differently-argued way. None when the model's pricing could not be resolved.""" -def get_token_type_cost_breakdown( - model: str, - custom_llm_provider: str | None, +def _reasoning_token_count(usage: Usage) -> int: + parsed: Final = ( + parse_completion_tokens_details(usage)["reasoning_tokens"] if usage.completion_tokens_details is not None else 0 + ) + return parsed or _coerce_token_count(getattr(usage, "reasoning_tokens", 0)) + + +def _cache_token_counts(usage: Usage) -> tuple[int, int, CacheCreationTokenDetails | None]: + """(cache read tokens, cache creation tokens, cache creation details): read from prompt_tokens_details + first, then the private top-level counters the Usage constructor mirrors cache tokens onto for + providers/callers that bypass the details.""" + parsed: Final = parse_prompt_tokens_details(usage) if usage.prompt_tokens_details is not None else None + parsed_read: Final = parsed["cache_hit_tokens"] if parsed is not None else 0 + parsed_creation: Final = parsed["cache_creation_tokens"] if parsed is not None else 0 + return ( + parsed_read or _coerce_token_count(getattr(usage, "_cache_read_input_tokens", 0)), + parsed_creation or _coerce_token_count(getattr(usage, "_cache_creation_input_tokens", 0)), + parsed["cache_creation_token_details"] if parsed is not None else None, + ) + + +def _custom_pricing_rates(custom_cost_per_token: CostPerToken) -> BilledTokenRates: + """Flat custom pricing has no tiers, uplifts or reasoning rate: cache tokens bill at the configured + cache rates (else the input rate) and reasoning at the output rate, as _cost_per_token_custom_pricing_helper does.""" + input_rate: Final = custom_cost_per_token["input_cost_per_token"] + output_rate: Final = custom_cost_per_token["output_cost_per_token"] + cache_creation_rate: Final = custom_cost_per_token.get("cache_creation_input_token_cost", input_rate) + return BilledTokenRates( + input_cost_per_token=input_rate, + output_cost_per_token=output_rate, + cache_read_input_token_cost=custom_cost_per_token.get("cache_read_input_token_cost", input_rate), + cache_creation_input_token_cost=cache_creation_rate, + cache_creation_input_token_cost_above_1hr=cache_creation_rate, + output_cost_per_reasoning_token=output_rate, + ) + + +def _cost_map_billed_rates( + model_info: ModelInfo, usage: Usage, - service_tier: str | None = None, - data_residency: str | None = None, - vertex_location: str | None = None, - current_time: datetime | None = None, -) -> TokenTypeCostBreakdown: - """ - Provider-agnostic cost of reasoning and cache tokens, derived from the usage - object and model pricing alone. - - This works for every provider, including Perplexity/Cerebras/Dashscope whose - cost calculators bypass ``generic_cost_per_token``, because cache tokens always - land on ``prompt_tokens_details`` (via the Usage constructor and provider - transformations) and reasoning tokens on ``completion_tokens_details``. It reuses - the same rate-resolution primitives as the total-cost path so the breakdown can - never drift from the totals. Returns zeros (never raises) when the model or its - pricing cannot be resolved. - """ - try: - model_info: Final = get_model_info(model=model, custom_llm_provider=custom_llm_provider) - except Exception: - return TokenTypeCostBreakdown(0.0, 0.0, 0.0) - - billing_time: Final = current_time if current_time is not None else datetime.now(timezone.utc) + custom_llm_provider: str | None, + service_tier: str | None, + data_residency: str | None, + vertex_location: str | None, + current_time: datetime | None, +) -> BilledTokenRates: + billing_time: Final = current_time if current_time is not None else current_billing_time() ( - _prompt_base_cost, + prompt_base_cost, completion_base_cost, cache_creation_cost_rate, cache_creation_cost_above_1hr_rate, @@ -1347,13 +1406,6 @@ def get_token_type_cost_breakdown( current_time=billing_time, threshold_is_inclusive=_uses_inclusive_token_thresholds(custom_llm_provider), ) - - reasoning_tokens = ( - parse_completion_tokens_details(usage)["reasoning_tokens"] if usage.completion_tokens_details is not None else 0 - ) - if not reasoning_tokens: - reasoning_tokens = _coerce_token_count(getattr(usage, "reasoning_tokens", 0)) - reasoning_rate: Final = _resolve_billed_reasoning_rate( model_info=model_info, usage=usage, @@ -1361,57 +1413,103 @@ def get_token_type_cost_breakdown( completion_base_cost=completion_base_cost, current_time=billing_time, ) - reasoning_cost = float(reasoning_tokens) * reasoning_rate + multiplier: Final = ( + _get_regional_uplift_multiplier(model_info, data_residency) + * get_vertex_regional_endpoint_uplift(model_info, vertex_location) + * get_provider_specific_geo_multiplier(model_info=model_info, usage=usage) + ) + return BilledTokenRates( + input_cost_per_token=prompt_base_cost, + output_cost_per_token=completion_base_cost, + cache_read_input_token_cost=cache_read_cost_rate, + cache_creation_input_token_cost=cache_creation_cost_rate, + cache_creation_input_token_cost_above_1hr=cache_creation_cost_above_1hr_rate, + output_cost_per_reasoning_token=reasoning_rate, + ).scaled(multiplier) - cache_read_tokens = 0 - cache_creation_tokens = 0 - cache_creation_token_details: CacheCreationTokenDetails | None = None - if usage.prompt_tokens_details is not None: - prompt_tokens_details: Final = parse_prompt_tokens_details(usage) - cache_read_tokens = prompt_tokens_details["cache_hit_tokens"] - cache_creation_tokens = prompt_tokens_details["cache_creation_tokens"] - cache_creation_token_details = prompt_tokens_details["cache_creation_token_details"] - # Fall back to the private top-level counters the Usage constructor mirrors cache - # tokens onto, so providers/callers that bypass prompt_tokens_details are covered. - if not cache_read_tokens: - cache_read_tokens = _coerce_token_count(getattr(usage, "_cache_read_input_tokens", 0)) - if not cache_creation_tokens: - cache_creation_tokens = _coerce_token_count(getattr(usage, "_cache_creation_input_tokens", 0)) - cache_read_cost = float(cache_read_tokens) * cache_read_cost_rate - cache_creation_cost = calculate_cache_writing_cost( - cache_creation_tokens=cache_creation_tokens, - cache_creation_token_details=cache_creation_token_details, - cache_creation_cost_above_1hr=cache_creation_cost_above_1hr_rate, - cache_creation_cost=cache_creation_cost_rate, +def get_billed_token_rates( + model: str, + custom_llm_provider: str | None, + usage: Usage, + service_tier: str | None = None, + data_residency: str | None = None, + vertex_location: str | None = None, + current_time: datetime | None = None, + custom_cost_per_token: CostPerToken | None = None, +) -> BilledTokenRates | None: + """Rates the cost calculator bills ``usage`` at, resolved exactly as the totals and the token-type + breakdown resolve them. None when the model's pricing cannot be resolved.""" + if custom_cost_per_token is not None: + return _custom_pricing_rates(custom_cost_per_token) + try: + model_info: Final = get_model_info(model=model, custom_llm_provider=custom_llm_provider) + except Exception: # noqa: BLE001 # get_model_info raises a bare Exception for an unmapped model: no rates + return None + return _cost_map_billed_rates( + model_info=model_info, + usage=usage, + custom_llm_provider=custom_llm_provider, + service_tier=service_tier, + data_residency=data_residency, + vertex_location=vertex_location, + current_time=current_time, ) - # Apply the same flat regional-processing uplift the totals get, so per-type - # costs stay reconciled with input_cost/output_cost for regionalized OpenAI hosts. - uplift: Final = _get_regional_uplift_multiplier(model_info, data_residency) - if uplift != 1.0: - reasoning_cost *= uplift - cache_read_cost *= uplift - cache_creation_cost *= uplift - vertex_uplift: Final = get_vertex_regional_endpoint_uplift(model_info, vertex_location) - if vertex_uplift != 1.0: - reasoning_cost *= vertex_uplift - cache_read_cost *= vertex_uplift - cache_creation_cost *= vertex_uplift +def get_token_type_cost_breakdown( + model: str, + custom_llm_provider: str | None, + usage: Usage, + service_tier: str | None = None, + data_residency: str | None = None, + vertex_location: str | None = None, + current_time: datetime | None = None, + custom_cost_per_token: CostPerToken | None = None, +) -> TokenTypeCostBreakdown: + """ + Provider-agnostic cost of reasoning and cache tokens, derived from the usage + object and model pricing alone. - # Mirror the provider-specific geo uplift (e.g. Anthropic us: 1.1) the totals - # apply, so cache and reasoning line items stay reconciled with them. - geo_multiplier: Final = get_provider_specific_geo_multiplier(model_info=model_info, usage=usage) - if geo_multiplier != 1.0: - reasoning_cost *= geo_multiplier - cache_read_cost *= geo_multiplier - cache_creation_cost *= geo_multiplier + This works for every provider, including Perplexity/Cerebras/Dashscope whose + cost calculators bypass ``generic_cost_per_token``, because cache tokens always + land on ``prompt_tokens_details`` (via the Usage constructor and provider + transformations) and reasoning tokens on ``completion_tokens_details``. It reuses + the same rate resolution as the total-cost path (``get_billed_token_rates``) so the + breakdown can never drift from the totals. A deployment billed by + ``custom_cost_per_token`` is priced from those flat rates instead of the cost map and, + like its totals, bills cache writes flat rather than by their 5m/1h split. + Returns zeros (never raises) when the model or its pricing cannot be resolved. + """ + rates: Final = get_billed_token_rates( + model=model, + custom_llm_provider=custom_llm_provider, + usage=usage, + service_tier=service_tier, + data_residency=data_residency, + vertex_location=vertex_location, + current_time=current_time, + custom_cost_per_token=custom_cost_per_token, + ) + if rates is None: + return TokenTypeCostBreakdown(0.0, 0.0, 0.0) + cache_read_tokens, cache_creation_tokens, cache_creation_token_details = _cache_token_counts(usage) + cache_creation_cost: Final = ( + float(cache_creation_tokens) * rates.cache_creation_input_token_cost + if custom_cost_per_token is not None + else calculate_cache_writing_cost( + cache_creation_tokens=cache_creation_tokens, + cache_creation_token_details=cache_creation_token_details, + cache_creation_cost_above_1hr=rates.cache_creation_input_token_cost_above_1hr, + cache_creation_cost=rates.cache_creation_input_token_cost, + ) + ) return TokenTypeCostBreakdown( - reasoning_cost=reasoning_cost, - cache_read_cost=cache_read_cost, + reasoning_cost=float(_reasoning_token_count(usage)) * rates.output_cost_per_reasoning_token, + cache_read_cost=float(cache_read_tokens) * rates.cache_read_input_token_cost, cache_creation_cost=cache_creation_cost, + rates=rates, ) diff --git a/litellm/litellm_core_utils/prompt_templates/image_handling.py b/litellm/litellm_core_utils/prompt_templates/image_handling.py index 24f3b8bca7f..c9933422cc3 100644 --- a/litellm/litellm_core_utils/prompt_templates/image_handling.py +++ b/litellm/litellm_core_utils/prompt_templates/image_handling.py @@ -183,6 +183,7 @@ class _RemoteSource: class RemoteMedia: url: str fields: Mapping[str, object] + part_type: str _NO_FIELDS: Final[Mapping[str, object]] = MappingProxyType({}) @@ -192,6 +193,10 @@ def inline_every_remote_url(_media: RemoteMedia) -> bool: return True +def inline_remote_image_urls(media: RemoteMedia) -> bool: + return media.part_type == "image_url" + + def _parse_remote_image(fields: Mapping[str, object]) -> _RemoteImage | None: if fields.get("type") != "image_url": return None @@ -223,11 +228,11 @@ def _parse_remote_part(part: object) -> _RemoteImage | _RemoteFile | _RemoteSour def _remote_media(remote: _RemoteImage | _RemoteFile | _RemoteSource) -> RemoteMedia: match remote: case _RemoteImage(_, image_url, url): - return RemoteMedia(url, image_url if image_url is not None else _NO_FIELDS) + return RemoteMedia(url, image_url if image_url is not None else _NO_FIELDS, "image_url") case _RemoteFile(_, file, url): - return RemoteMedia(url, file) - case _RemoteSource(_, source, url): - return RemoteMedia(url, source) + return RemoteMedia(url, file, "file") + case _RemoteSource(part, source, url): + return RemoteMedia(url, source, str(part.get("type"))) _PDF_FORMAT: Final = MappingProxyType({"format": "application/pdf"}) diff --git a/litellm/litellm_core_utils/streaming_chunk_builder_utils.py b/litellm/litellm_core_utils/streaming_chunk_builder_utils.py index 0e01577b20e..cf9604a0fd5 100644 --- a/litellm/litellm_core_utils/streaming_chunk_builder_utils.py +++ b/litellm/litellm_core_utils/streaming_chunk_builder_utils.py @@ -24,6 +24,7 @@ from litellm.types.utils import ( Choices, CompletionTokensDetails, CompletionTokensDetailsWrapper, + Delta, Function, FunctionCall, ModelResponse, @@ -326,6 +327,18 @@ class ChunkProcessor: return chunk_id return "" + @staticmethod + def _get_role_from_chunks(chunks: Sequence["_BaseChunk"]) -> str: + return ChunkProcessor._role_of_choice(next((c["choices"][0] for c in chunks if c.get("choices")), None)) + + @staticmethod + def _role_of_choice(choice: object) -> str: + match choice: + case StreamingChoices(delta=Delta(role=str() as role)) | {"delta": {"role": str() as role}} if role: + return role + case _: + return "assistant" + @staticmethod def _get_model_from_chunks(chunks: Sequence["_BaseChunk"], first_chunk_model: str) -> str: """ @@ -353,8 +366,7 @@ class ChunkProcessor: model: Final = ChunkProcessor._get_model_from_chunks(chunks, first_chunk_model) system_fingerprint: Final = chunk.get("system_fingerprint", None) - first_chunk_with_choices: Final = next((c for c in chunks if c.get("choices")), chunk) - role: Final = first_chunk_with_choices["choices"][0]["delta"]["role"] + role: Final = ChunkProcessor._get_role_from_chunks(chunks) finish_reason = "stop" for chunk in chunks: if "choices" in chunk and len(chunk["choices"]) > 0: diff --git a/litellm/llms/anthropic/chat/handler.py b/litellm/llms/anthropic/chat/handler.py index c82be07a5c5..d1fe4cadf40 100644 --- a/litellm/llms/anthropic/chat/handler.py +++ b/litellm/llms/anthropic/chat/handler.py @@ -368,27 +368,92 @@ class AnthropicChatCompletion(BaseLLM): if config is None: raise ValueError(f"Provider config not found for model: {model} and provider: {custom_llm_provider}") - def build_request() -> tuple[dict, dict]: # mutable-ok: rewritten in place downstream - """Translate the request the Python way, returning `(headers, data)`. + transform_params: Final = {**optional_params, "is_vertex_request": is_vertex_request} + + def finish_request(request_data: dict) -> tuple[dict, dict]: # mutable-ok: rewritten in place downstream + """Filter beta headers and emit pre_call, returning `(headers, data)`. The pair stays mutable because the streaming path rewrites it in - place (`data["stream"] = True`) before sending. - - Shared by the normal path and by the Rust path's fallback, which - builds it only when the Rust call did not serve the request. + place (`data["stream"] = True`) before sending. A Rust attempt that + declined already emitted pre_call for this request, so skip it there. """ - request_data: Final = config.transform_request( - model=model, - messages=messages, - optional_params={**optional_params, "is_vertex_request": is_vertex_request}, - litellm_params=litellm_params, - headers=headers, - ) - return update_request_with_filtered_beta( + request_headers, data = update_request_with_filtered_beta( headers=headers, request_data=request_data, provider=custom_llm_provider, ) + if not serves_via_rust: + logging_obj.pre_call( + input=messages, + api_key=api_key, + additional_args={ + "complete_input_dict": data, + "api_base": api_base, + "headers": request_headers, + }, + ) + print_verbose(f"_is_function_call: {_is_function_call}") + return request_headers, data + + async def acompletion_dispatch() -> "ModelResponse | CustomStreamWrapper": + """Translate then send, so the provider config can inline remote media off the event loop.""" + request_headers, data = finish_request( + await config.async_transform_request( + model=model, + messages=messages, + optional_params=transform_params, + litellm_params=litellm_params, + headers=headers, + ) + ) + if ( + stream is True + ): # if function call - fake the streaming (need complete blocks for output parsing in openai format) + print_verbose("makes async anthropic streaming POST request") + data["stream"] = stream + return await self.acompletion_stream_function( + model=model, + messages=messages, + data=data, + api_base=api_base, + custom_prompt_dict=custom_prompt_dict, + model_response=model_response, + print_verbose=print_verbose, + encoding=encoding, + api_key=api_key, + logging_obj=logging_obj, + optional_params=optional_params, + stream=stream, + _is_function_call=_is_function_call, + json_mode=json_mode, + litellm_params=litellm_params, + logger_fn=logger_fn, + headers=request_headers, + timeout=timeout, + client=(client if client is not None and isinstance(client, AsyncHTTPHandler) else None), + ) + return await self.acompletion_function( + model=model, + messages=messages, + data=data, + api_base=api_base, + custom_prompt_dict=custom_prompt_dict, + model_response=model_response, + print_verbose=print_verbose, + encoding=encoding, + api_key=api_key, + provider_config=config, + logging_obj=logging_obj, + optional_params=optional_params, + stream=stream, + _is_function_call=_is_function_call, + litellm_params=litellm_params, + logger_fn=logger_fn, + headers=request_headers, + client=client, + json_mode=json_mode, + timeout=timeout, + ) # The Rust core owns the whole call for the subset it accepts, so ask # before transforming: whichever path runs emits pre_call exactly once. @@ -424,35 +489,6 @@ class AnthropicChatCompletion(BaseLLM): additional_args=rust_logging_args, ) if acompletion is True: - - async def python_fallback() -> "ModelResponse | CustomStreamWrapper": - # pre_call already fired for this request above. The Rust - # path only declines before the provider is called, so this - # is the same attempt continuing, not a second one. - fallback_headers, fallback_data = build_request() - return await self.acompletion_function( - model=model, - messages=messages, - data=fallback_data, - api_base=api_base, - custom_prompt_dict=custom_prompt_dict, - model_response=model_response, - print_verbose=print_verbose, - encoding=encoding, - api_key=api_key, - provider_config=config, - logging_obj=logging_obj, - optional_params=optional_params, - stream=stream, - _is_function_call=_is_function_call, - litellm_params=litellm_params, - logger_fn=logger_fn, - headers=fallback_headers, - client=client, - json_mode=json_mode, - timeout=timeout, - ) - return rust_chat_completions_bridge.achat_completions_or_fallback( model=model, messages=messages, @@ -464,7 +500,7 @@ class AnthropicChatCompletion(BaseLLM): extra_headers=headers, timeout=timeout, on_response=log_rust_post_call, - python_fallback=python_fallback, + python_fallback=acompletion_dispatch, ) rust_response: Final = rust_chat_completions_bridge.chat_completions( model=model, @@ -481,74 +517,18 @@ class AnthropicChatCompletion(BaseLLM): if rust_response is not None: return rust_response - headers, data = build_request() - - ## LOGGING - # Reaching here with `serves_via_rust` set means the Rust attempt - # declined at call time, before the provider was called, and already - # logged this request. That is the same attempt continuing. - if not serves_via_rust: - logging_obj.pre_call( - input=messages, - api_key=api_key, - additional_args={ - "complete_input_dict": data, - "api_base": api_base, - "headers": headers, - }, - ) - print_verbose(f"_is_function_call: {_is_function_call}") if acompletion is True: - if ( - stream is True - ): # if function call - fake the streaming (need complete blocks for output parsing in openai format) - print_verbose("makes async anthropic streaming POST request") - data["stream"] = stream - return self.acompletion_stream_function( - model=model, - messages=messages, - data=data, - api_base=api_base, - custom_prompt_dict=custom_prompt_dict, - model_response=model_response, - print_verbose=print_verbose, - encoding=encoding, - api_key=api_key, - logging_obj=logging_obj, - optional_params=optional_params, - stream=stream, - _is_function_call=_is_function_call, - json_mode=json_mode, - litellm_params=litellm_params, - logger_fn=logger_fn, - headers=headers, - timeout=timeout, - client=(client if client is not None and isinstance(client, AsyncHTTPHandler) else None), - ) - else: - return self.acompletion_function( - model=model, - messages=messages, - data=data, - api_base=api_base, - custom_prompt_dict=custom_prompt_dict, - model_response=model_response, - print_verbose=print_verbose, - encoding=encoding, - api_key=api_key, - provider_config=config, - logging_obj=logging_obj, - optional_params=optional_params, - stream=stream, - _is_function_call=_is_function_call, - litellm_params=litellm_params, - logger_fn=logger_fn, - headers=headers, - client=client, - json_mode=json_mode, - timeout=timeout, - ) + return acompletion_dispatch() else: + headers, data = finish_request( + config.transform_request( + model=model, + messages=messages, + optional_params=transform_params, + litellm_params=litellm_params, + headers=headers, + ) + ) ## COMPLETION CALL if ( stream is True diff --git a/litellm/llms/anthropic/chat/transformation.py b/litellm/llms/anthropic/chat/transformation.py index 5f7ac73c919..5463f1862ad 100644 --- a/litellm/llms/anthropic/chat/transformation.py +++ b/litellm/llms/anthropic/chat/transformation.py @@ -26,6 +26,11 @@ from litellm.litellm_core_utils.core_helpers import map_finish_reason from litellm.litellm_core_utils.prompt_templates.common_utils import ( sanitize_input_schema_for_anthropic, ) +from litellm.litellm_core_utils.prompt_templates.image_handling import ( + RemoteMedia, + async_inline_remote_media, + inline_remote_image_urls, +) from litellm.llms.base_llm.base_utils import type_to_response_format_param from litellm.llms.base_llm.chat.transformation import BaseConfig, BaseLLMException from litellm.types.llms.anthropic import ( @@ -1840,6 +1845,25 @@ class AnthropicConfig(AnthropicModelInfo, BaseConfig): break return headers + def inlines_remote_media(self, media: RemoteMedia) -> bool: + return inline_remote_image_urls(media) and media.url.startswith("http://") + + async def async_transform_request( + self, + model: str, + messages: list[AllMessageValues], # mutable-ok: BaseConfig signature + optional_params: dict[str, object], # mutable-ok: BaseConfig signature + litellm_params: dict[str, object], # mutable-ok: BaseConfig signature + headers: dict[str, object], # mutable-ok: BaseConfig signature + ) -> dict[str, object]: # mutable-ok: BaseConfig signature + return self.transform_request( + model=model, + messages=await async_inline_remote_media(messages, should_inline=self.inlines_remote_media), + optional_params=optional_params, + litellm_params=litellm_params, + headers=headers, + ) + def transform_request( self, model: str, diff --git a/litellm/llms/anthropic/experimental_pass_through/utils.py b/litellm/llms/anthropic/experimental_pass_through/utils.py index 55fe9c47faf..335a0e5641d 100644 --- a/litellm/llms/anthropic/experimental_pass_through/utils.py +++ b/litellm/llms/anthropic/experimental_pass_through/utils.py @@ -3,6 +3,8 @@ from collections.abc import Mapping from types import MappingProxyType from typing import TYPE_CHECKING, Final +from pydantic import BaseModel, ConfigDict, ValidationError + import litellm from litellm.types.utils import ModelInfo @@ -21,10 +23,27 @@ _EFFORT_DEGRADATION_CHAIN: Final[Mapping[str, tuple[str, ...]]] = MappingProxyTy _THINKING_OFF: Final = "none" +class _ClaudeCodeUserId(BaseModel): + """The JSON Claude Code packs into ``metadata.user_id``; only ``session_id`` is per conversation.""" + + model_config = ConfigDict(frozen=True) + + session_id: str + + def prompt_cache_key_from_user_id(user_id: object) -> str | None: - if user_id is None: + """The per-session key Claude Code carries inside ``metadata.user_id``, or nothing. + + Anthropic defines ``user_id`` as an opaque end-user id, so a plain string names a person, not + a conversation. Keying the provider cache on it pins every parallel session and subagent of that + person to one slot, which caches worse than the provider's own prompt-prefix hashing does. + """ + if not isinstance(user_id, str): + return None + try: + return _ClaudeCodeUserId.model_validate_json(user_id).session_id[:OPENAI_MAX_PROMPT_CACHE_KEY_LENGTH] or None + except ValidationError: return None - return str(user_id)[:OPENAI_MAX_PROMPT_CACHE_KEY_LENGTH] or None def litellm_logging_obj_from_kwargs(kwargs: Mapping[str, object]) -> "LiteLLMLoggingObject | None": diff --git a/litellm/llms/azure/audio_transcriptions.py b/litellm/llms/azure/audio_transcriptions.py index 4a5ed2ccb0c..564ec94ba6b 100644 --- a/litellm/llms/azure/audio_transcriptions.py +++ b/litellm/llms/azure/audio_transcriptions.py @@ -37,6 +37,7 @@ class AzureAudioTranscription(AzureChatCompletion): azure_ad_token: str | None = None, atranscription: bool = False, litellm_params: dict | None = None, + custom_llm_provider: str = "azure", ) -> TranscriptionResponse | Coroutine[Any, Any, TranscriptionResponse]: data: Final = {"model": model, "file": audio_file, **optional_params} @@ -53,6 +54,7 @@ class AzureAudioTranscription(AzureChatCompletion): logging_obj=logging_obj, model=model, litellm_params=litellm_params, + custom_llm_provider=custom_llm_provider, ) azure_client: Final = self.get_azure_openai_client( @@ -99,7 +101,7 @@ class AzureAudioTranscription(AzureChatCompletion): additional_args={"complete_input_dict": data}, original_response=stringified_response, ) - hidden_params: Final = {"model": model, "custom_llm_provider": "azure"} + hidden_params: Final = {"model": model, "custom_llm_provider": custom_llm_provider} final_response: Final[TranscriptionResponse] = convert_to_model_response_object( response_object=stringified_response, model_response_object=model_response, @@ -122,6 +124,7 @@ class AzureAudioTranscription(AzureChatCompletion): client=None, max_retries=None, litellm_params: dict | None = None, + custom_llm_provider: str = "azure", ) -> TranscriptionResponse: response = None try: @@ -178,7 +181,7 @@ class AzureAudioTranscription(AzureChatCompletion): }, original_response=stringified_response, ) - hidden_params: Final = {"model": model, "custom_llm_provider": "azure"} + hidden_params: Final = {"model": model, "custom_llm_provider": custom_llm_provider} response = convert_to_model_response_object( _response_headers=headers, response_object=stringified_response, diff --git a/litellm/llms/azure_ai/cost_calculator.py b/litellm/llms/azure_ai/cost_calculator.py index 95f536296a2..5934525eca3 100644 --- a/litellm/llms/azure_ai/cost_calculator.py +++ b/litellm/llms/azure_ai/cost_calculator.py @@ -11,7 +11,7 @@ from litellm.types.utils import Usage from litellm.utils import get_model_info -def _is_azure_model_router(model: str) -> bool: +def is_azure_model_router(model: str) -> bool: """ Check if the model is Azure AI Foundry Model Router. @@ -31,6 +31,18 @@ def _is_azure_model_router(model: str) -> bool: return "model-router" in model_lower or "model_router" in model_lower or model_lower == "azure-model-router" +ROUTER_FEE_ENTRY_NAMES: Final = frozenset({"model-router", "model_router"}) + + +def is_router_fee_entry(model: str) -> bool: + return model.lower().removeprefix("azure_ai/") in ROUTER_FEE_ENTRY_NAMES + + +def _router_fee_entry_name(model: str) -> str: + entry_name: Final = model.lower().removeprefix("azure_ai/") + return entry_name if entry_name in ROUTER_FEE_ENTRY_NAMES else "model_router" + + def calculate_azure_model_router_flat_cost(model: str, prompt_tokens: int) -> float: """ Calculate the flat cost for Azure AI Foundry Model Router. @@ -42,20 +54,39 @@ def calculate_azure_model_router_flat_cost(model: str, prompt_tokens: int) -> fl Returns: float: The flat cost in USD, or 0.0 if not applicable """ - if not _is_azure_model_router(model): + if not is_azure_model_router(model): return 0.0 - - # Get the model router pricing from model_prices_and_context_window.json - # Use "model_router" as the key (without actual model name suffix) - model_info: Final = get_model_info(model="model_router", custom_llm_provider="azure_ai") + model_info: Final = get_model_info(model=_router_fee_entry_name(model), custom_llm_provider="azure_ai") router_flat_cost_per_token: Final = model_info.get("input_cost_per_token", 0) - if router_flat_cost_per_token and router_flat_cost_per_token > 0: return prompt_tokens * router_flat_cost_per_token - return 0.0 +def _response_model_cost(model: str, usage: Usage, service_tier: str | None) -> tuple[float, float]: + try: + return generic_cost_per_token( + model=model, usage=usage, custom_llm_provider="azure_ai", service_tier=service_tier + ) + except Exception as e: + if not is_azure_model_router(model): + raise + verbose_logger.debug( + "Azure AI Model Router: model '%s' not in cost map, only the routing fee applies. Error: %s", model, e + ) + return 0.0, 0.0 + + +def _router_fee_name(model: str, request_model: str | None) -> str | None: + if is_router_fee_entry(model): + return None + if is_azure_model_router(model): + return model + if request_model is not None and is_azure_model_router(request_model): + return request_model + return None + + def cost_per_token( model: str, usage: Usage, @@ -64,68 +95,31 @@ def cost_per_token( service_tier: str | None = None, ) -> tuple[float, float]: """ - Calculate the cost per token for Azure AI models. + Price the response model's own tokens for Azure AI, plus the Model Router fee exactly once when either the + priced name or request_model is a Model Router name. - For Azure AI Foundry Model Router: - - Adds a flat cost of $0.14 per million input tokens (from model_prices_and_context_window.json) - - Plus the cost of the actual model used (handled by generic_cost_per_token) + A response priced as the router entry itself already carries the fee, so nothing is added on top of it. A + router deployment name that is missing from the cost map prices at the fee alone. + + completion_cost passes only the priced name: when that name is a routed model it adds the fee itself through + AzureModelRouterConfig.calculate_additional_costs as the "Azure Model Router Flat Cost" line of the cost + breakdown, and when the name is router-shaped the fee is already in the prompt cost returned here. Args: model: str, the model name without provider prefix (from response) usage: LiteLLM Usage block response_time_ms: Optional response time in milliseconds - request_model: Optional[str], the original request model name (to detect router usage) + request_model: Optional[str], the original request model name; a Model Router name adds the routing fee + service_tier: Optional service tier the request was priced on Returns: Tuple[float, float] - prompt_cost_in_usd, completion_cost_in_usd Raises: - ValueError: If the model is not found in the cost map and cost cannot be calculated - (except for Model Router models where we return just the routing flat cost) + ValueError: If a model that is not a Model Router name is missing from the cost map """ - prompt_cost = 0.0 - completion_cost = 0.0 - - # Determine if this was a model router request - # Check both the response model and the request model - is_router_request: Final = _is_azure_model_router(model) or ( - request_model is not None and _is_azure_model_router(request_model) - ) - - # Calculate base cost using generic cost calculator - # This may raise an exception if the model is not in the cost map - try: - prompt_cost, completion_cost = generic_cost_per_token( - model=model, - usage=usage, - custom_llm_provider="azure_ai", - service_tier=service_tier, - ) - except Exception as e: - # For Model Router, the model name (e.g., "azure-model-router") may not be in the cost map - # because it's a routing service, not an actual model. In this case, we continue - # to calculate just the routing flat cost. - if not _is_azure_model_router(model): - # Re-raise for non-router models - they should have pricing defined - raise - verbose_logger.debug( - "Azure AI Model Router: model '%s' not in cost map, calculating routing flat cost only. Error: %s", model, e - ) - - # Add flat cost for Azure Model Router - # The flat cost is defined in model_prices_and_context_window.json for azure_ai/model_router - if is_router_request: - # Use the request model for flat cost calculation if available, otherwise use response model - router_model_for_calc: Final = request_model if request_model else model - router_flat_cost: Final = calculate_azure_model_router_flat_cost(router_model_for_calc, usage.prompt_tokens) - - if router_flat_cost > 0: - verbose_logger.debug( - f"Azure AI Model Router flat cost: ${router_flat_cost:.6f} " - f"({usage.prompt_tokens} tokens × ${router_flat_cost / usage.prompt_tokens:.9f}/token)" - ) - - # Add flat cost to prompt cost - prompt_cost += router_flat_cost - - return prompt_cost, completion_cost + prompt_cost, completion_cost = _response_model_cost(model=model, usage=usage, service_tier=service_tier) + fee_name: Final = _router_fee_name(model=model, request_model=request_model) + if fee_name is None: + return prompt_cost, completion_cost + return prompt_cost + calculate_azure_model_router_flat_cost(fee_name, usage.prompt_tokens), completion_cost diff --git a/litellm/llms/base_llm/vector_store/transformation.py b/litellm/llms/base_llm/vector_store/transformation.py index c8d2b7fe522..07b60cb4b72 100644 --- a/litellm/llms/base_llm/vector_store/transformation.py +++ b/litellm/llms/base_llm/vector_store/transformation.py @@ -121,6 +121,9 @@ class RouterVectorStoreEmbeddingExecutor: class BaseVectorStoreConfig: + def validate_create_vector_store(self) -> None: + return None + def get_supported_openai_params(self, model: str) -> list[VECTOR_STORE_OPENAI_PARAMS]: return [] diff --git a/litellm/llms/bedrock/embed/embedding.py b/litellm/llms/bedrock/embed/embedding.py index d3725434498..e249feb9ff3 100644 --- a/litellm/llms/bedrock/embed/embedding.py +++ b/litellm/llms/bedrock/embed/embedding.py @@ -35,7 +35,7 @@ from .amazon_titan_multimodal_transformation import ( ) from .amazon_titan_v2_transformation import AmazonTitanV2Config from .cohere_transformation import BedrockCohereEmbeddingConfig -from .twelvelabs_marengo_transformation import TwelveLabsMarengoEmbeddingConfig +from .twelvelabs_marengo_transformation import TwelveLabsMarengoEmbeddingConfig, drop_params_enabled if TYPE_CHECKING: from litellm.litellm_core_utils.litellm_logging import Logging as LiteLLMLoggingObj @@ -239,7 +239,7 @@ class BedrockEmbedding(BaseAWSLLM): returned_response = AmazonTitanG1Config()._transform_response(response_list=response_list, model=model) elif provider == "twelvelabs": returned_response = TwelveLabsMarengoEmbeddingConfig()._transform_response( - response_list=response_list, model=model + response_list=response_list, model=model, batch_data=batch_data ) elif provider == "nova": returned_response = AmazonNovaEmbeddingConfig()._transform_response( @@ -484,12 +484,13 @@ class BedrockEmbedding(BaseAWSLLM): elif provider == "twelvelabs": batch_data = [] for i in input: - twelvelabs_request = TwelveLabsMarengoEmbeddingConfig()._transform_request( + twelvelabs_request = TwelveLabsMarengoEmbeddingConfig(model=model)._transform_request( input=i, inference_params=inference_params, async_invoke_route=has_async_invoke, model_id=modelId, output_s3_uri=inference_params.get("output_s3_uri"), + drop_params=drop_params_enabled(litellm_params), ) batch_data.append(twelvelabs_request) elif provider == "nova": diff --git a/litellm/llms/bedrock/embed/twelvelabs_marengo_3_transformation.py b/litellm/llms/bedrock/embed/twelvelabs_marengo_3_transformation.py new file mode 100644 index 00000000000..4aac6f22bae --- /dev/null +++ b/litellm/llms/bedrock/embed/twelvelabs_marengo_3_transformation.py @@ -0,0 +1,239 @@ +""" +Request builder for Bedrock TwelveLabs Marengo Embed 3.0, whose payload nests the input under a key named after +``inputType`` instead of the flat 2.7 layout. + +Docs - https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters-marengo-3.html +""" + +from collections.abc import Mapping +from types import MappingProxyType +from typing import Final + +from pydantic import BaseModel, ConfigDict, TypeAdapter, ValidationError +from typing_extensions import assert_never + +from litellm.llms.bedrock.common_utils import BedrockError +from litellm.types.llms.bedrock import ( + TWELVELABS_MARENGO_3_EMBEDDING_OPTIONS, + TWELVELABS_MARENGO_3_EMBEDDING_SCOPES, + TWELVELABS_MARENGO_3_EMBEDDING_TYPES, + TWELVELABS_MARENGO_3_INPUT_TYPES, + TwelveLabsMarengo3AudioRequest, + TwelveLabsMarengo3EmbeddingRequest, + TwelveLabsMarengo3ImageRequest, + TwelveLabsMarengo3MultiInputRequest, + TwelveLabsMarengo3NamedMediaSource, + TwelveLabsMarengo3RequestBase, + TwelveLabsMarengo3Segmentation, + TwelveLabsMarengo3TextImageRequest, + TwelveLabsMarengo3TextRequest, + TwelveLabsMarengo3TimedMediaInput, + TwelveLabsMarengo3TimedMediaOptions, + TwelveLabsMarengo3VideoRequest, + TwelveLabsMediaSource, + TwelveLabsS3Location, +) +from litellm.utils import get_base64_str + +MARENGO_3_MODEL_MARKER: Final = "marengo-embed-3-" +S3_URI_PREFIX: Final = "s3://" +TIMED_MEDIA_OPTION_FIELDS: Final = MappingProxyType( + { + "startSec": True, + "endSec": True, + "segmentation": True, + "embeddingOption": True, + "embeddingType": True, + "embeddingScope": True, + } +) +TIMED_MEDIA_OPTIONS: Final = TypeAdapter(TwelveLabsMarengo3TimedMediaOptions) +TIMED_INPUT_TYPES: Final = frozenset({"video", "audio"}) +MARENGO_2_7_ONLY_PARAMS: Final = ("textTruncate", "lengthSec", "useFixedLengthSec", "minClipSec") +MARENGO_2_7_ONLY_FIELDS: Final = MappingProxyType({name: True for name in MARENGO_2_7_ONLY_PARAMS}) + + +def is_marengo_3_model(model: str | None) -> bool: + return MARENGO_3_MODEL_MARKER in (model or "") + + +class Marengo3Params(BaseModel): + model_config = ConfigDict(extra="ignore", frozen=True) + + inputType: TWELVELABS_MARENGO_3_INPUT_TYPES | None = None + input_type: TWELVELABS_MARENGO_3_INPUT_TYPES | None = None + media_source: str | None = None + media_sources: Mapping[str, str] | None = None + bucketOwner: str | None = None + startSec: float | None = None + endSec: float | None = None + segmentation: TwelveLabsMarengo3Segmentation | None = None + embeddingOption: tuple[TWELVELABS_MARENGO_3_EMBEDDING_OPTIONS, ...] | None = None + embeddingType: tuple[TWELVELABS_MARENGO_3_EMBEDDING_TYPES, ...] | None = None + embeddingScope: tuple[TWELVELABS_MARENGO_3_EMBEDDING_SCOPES, ...] | None = None + inferenceId: str | None = None + textTruncate: object = None + lengthSec: object = None + useFixedLengthSec: object = None + minClipSec: object = None + + @property + def resolved_input_type(self) -> TWELVELABS_MARENGO_3_INPUT_TYPES: + return self.inputType or self.input_type or "text" + + def timed_media_options(self) -> TwelveLabsMarengo3TimedMediaOptions: + return TIMED_MEDIA_OPTIONS.validate_python(self.given_timed_media_options()) + + def given_timed_media_options(self) -> dict[str, object]: + return self.model_dump(include=TIMED_MEDIA_OPTION_FIELDS, exclude_none=True) + + def given_2_7_only_params(self) -> dict[str, object]: + return self.model_dump(include=MARENGO_2_7_ONLY_FIELDS, exclude_none=True) + + +def _require_bucket_owner(bucket_owner: str | None) -> str: + if bucket_owner is None: + raise BedrockError( + status_code=400, + message="s3:// media requires the 'bucketOwner' parameter, the account id that owns the bucket", + ) + return bucket_owner + + +def _media_source(media: str, bucket_owner: str | None) -> TwelveLabsMediaSource: + if not media.startswith(S3_URI_PREFIX): + inline: Final[TwelveLabsMediaSource] = {"base64String": get_base64_str(media)} + return inline + s3_location: Final[TwelveLabsS3Location] = {"uri": media, "bucketOwner": _require_bucket_owner(bucket_owner)} + remote: Final[TwelveLabsMediaSource] = {"s3Location": s3_location} + return remote + + +def _named_media_source(name: str, media: str, bucket_owner: str | None) -> TwelveLabsMarengo3NamedMediaSource: + named: Final[TwelveLabsMarengo3NamedMediaSource] = { + "name": name, + "mediaType": "image", + **_media_source(media, bucket_owner), + } + return named + + +def _timed_media_input(media: str, params: Marengo3Params) -> TwelveLabsMarengo3TimedMediaInput: + timed: Final[TwelveLabsMarengo3TimedMediaInput] = { + "mediaSource": _media_source(media, params.bucketOwner), + **params.timed_media_options(), + } + return timed + + +def _describe(error: ValidationError) -> str: + return "; ".join( + f"{'.'.join(str(part) for part in problem['loc'])}: {problem['msg']}" for problem in error.errors() + ) + + +def _validated_params(inference_params: Mapping[str, object]) -> Marengo3Params: + try: + return Marengo3Params.model_validate(inference_params) + except ValidationError as error: + raise BedrockError(status_code=400, message=f"Invalid Marengo 3.0 parameters: {_describe(error)}") from error + + +def _reject_unless_dropped(given: Mapping[str, object], drop_params: bool, reason: str) -> None: + if not given or drop_params: + return + raise BedrockError(status_code=400, message=f"{reason} {', '.join(given)}; set drop_params to drop them") + + +def _require(value: str | None, input_type: str, param_name: str) -> str: + if value is None: + raise BedrockError(status_code=400, message=f"Input type '{input_type}' requires the '{param_name}' parameter") + return value + + +def _require_media_sources(value: Mapping[str, str] | None) -> Mapping[str, str]: + if not value: + raise BedrockError( + status_code=400, + message="Input type 'multi_input' requires a non-empty 'media_sources' mapping of name to media", + ) + return value + + +def _request_base(inference_id: str | None) -> TwelveLabsMarengo3RequestBase: + if inference_id is None: + anonymous: Final[TwelveLabsMarengo3RequestBase] = {} + return anonymous + identified: Final[TwelveLabsMarengo3RequestBase] = {"inferenceId": inference_id} + return identified + + +def build_marengo_3_request( + input: str, inference_params: Mapping[str, object], drop_params: bool = False +) -> TwelveLabsMarengo3EmbeddingRequest: + params: Final = _validated_params(inference_params) + base: Final = _request_base(params.inferenceId) + input_type: Final = params.resolved_input_type + _reject_unless_dropped( + params.given_2_7_only_params(), drop_params, "Marengo 3.0 does not accept the Marengo 2.7 parameters" + ) + if input_type not in TIMED_INPUT_TYPES: + _reject_unless_dropped( + params.given_timed_media_options(), drop_params, f"Input type '{input_type}' does not accept" + ) + match input_type: + case "text": + text_request: Final[TwelveLabsMarengo3TextRequest] = { + **base, + "inputType": "text", + "text": {"inputText": input}, + } + return text_request + case "image": + image_request: Final[TwelveLabsMarengo3ImageRequest] = { + **base, + "inputType": "image", + "image": {"mediaSource": _media_source(input, params.bucketOwner)}, + } + return image_request + case "video": + video_request: Final[TwelveLabsMarengo3VideoRequest] = { + **base, + "inputType": "video", + "video": _timed_media_input(input, params), + } + return video_request + case "audio": + audio_request: Final[TwelveLabsMarengo3AudioRequest] = { + **base, + "inputType": "audio", + "audio": _timed_media_input(input, params), + } + return audio_request + case "text_image": + text_image_request: Final[TwelveLabsMarengo3TextImageRequest] = { + **base, + "inputType": "text_image", + "text_image": { + "inputText": input, + "mediaSource": _media_source( + _require(params.media_source, input_type, "media_source"), params.bucketOwner + ), + }, + } + return text_image_request + case "multi_input": + media_sources: Final = tuple( + _named_media_source(name, media, params.bucketOwner) + for name, media in _require_media_sources(params.media_sources).items() + ) + multi_input_request: Final[TwelveLabsMarengo3MultiInputRequest] = { + **base, + "inputType": "multi_input", + "multi_input": {"inputText": input, "mediaSources": media_sources} + if input + else {"mediaSources": media_sources}, + } + return multi_input_request + case _: + assert_never(input_type) diff --git a/litellm/llms/bedrock/embed/twelvelabs_marengo_transformation.py b/litellm/llms/bedrock/embed/twelvelabs_marengo_transformation.py index a39c59b0efd..65ca2be191f 100644 --- a/litellm/llms/bedrock/embed/twelvelabs_marengo_transformation.py +++ b/litellm/llms/bedrock/embed/twelvelabs_marengo_transformation.py @@ -4,19 +4,120 @@ Transformation logic from OpenAI /v1/embeddings format to Bedrock TwelveLabs Mar Why separate file? Make it easy to see how transformation works Docs - https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters-marengo.html +Marengo 3.0 docs - https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters-marengo-3.html """ +from collections.abc import Mapping from typing import Final, cast +from pydantic import BaseModel, ConfigDict, TypeAdapter +from typing_extensions import assert_never + +import litellm +from litellm.llms.bedrock.embed.twelvelabs_marengo_3_transformation import ( + MARENGO_2_7_ONLY_PARAMS, + build_marengo_3_request, + is_marengo_3_model, +) from litellm.types.llms.bedrock import ( TWELVELABS_EMBEDDING_INPUT_TYPES, + TWELVELABS_MARENGO_3_INPUT_TYPES, TwelveLabsAsyncInvokeRequest, + TwelveLabsMarengo3EmbeddingRequest, TwelveLabsMarengoEmbeddingRequest, TwelveLabsOutputDataConfig, TwelveLabsS3Location, TwelveLabsS3OutputDataConfig, ) -from litellm.types.utils import Embedding, EmbeddingResponse, Usage +from litellm.types.utils import Embedding, EmbeddingResponse, PromptTokensDetailsWrapper, Usage + + +class MarengoEmbeddingItem(BaseModel): + model_config = ConfigDict(extra="ignore", frozen=True) + + embedding: tuple[float, ...] | None = None + + +class MarengoInvokeResponse(BaseModel): + model_config = ConfigDict(extra="ignore", frozen=True) + + data: tuple[MarengoEmbeddingItem, ...] = () + embedding: tuple[float, ...] | None = None + embeddings: tuple[MarengoEmbeddingItem, ...] = () + + def vectors(self) -> tuple[tuple[float, ...], ...]: + if self.data: + return tuple(item.embedding for item in self.data if item.embedding is not None) + if self.embedding is not None: + return (self.embedding,) + return tuple(item.embedding for item in self.embeddings if item.embedding is not None) + + +class MarengoBilledMultiInput(BaseModel): + model_config = ConfigDict(extra="ignore", frozen=True) + + inputText: str | None = None + mediaSources: tuple[Mapping[str, object], ...] = () + + +class MarengoBilledRequest(BaseModel): + model_config = ConfigDict(extra="ignore", frozen=True) + + inputType: TWELVELABS_MARENGO_3_INPUT_TYPES | None = None + multi_input: MarengoBilledMultiInput | None = None + + +INVOKE_RESPONSES: Final = TypeAdapter(tuple[MarengoInvokeResponse, ...]) +BILLED_REQUESTS: Final = TypeAdapter(tuple[MarengoBilledRequest, ...]) + + +def _billed_units(request: MarengoBilledRequest) -> tuple[int, int]: + input_type: Final = request.inputType + match input_type: + case "text": + return (1, 0) + case "image": + return (0, 1) + case "text_image": + return (1, 1) + case "multi_input": + multi_input: Final = request.multi_input or MarengoBilledMultiInput() + return (1 if multi_input.inputText else 0, len(multi_input.mediaSources)) + case "video" | "audio" | None: + return (0, 0) + case _: + assert_never(input_type) + + +def _billed_usage(batch_data: list[dict] | None) -> Usage: + units: Final = tuple(_billed_units(request) for request in BILLED_REQUESTS.validate_python(batch_data or ())) + query_count: Final = sum(text_requests for text_requests, _ in units) + image_count: Final = sum(images for _, images in units) + details: Final = ( + PromptTokensDetailsWrapper(query_count=query_count or None, image_count=image_count or None) + if query_count or image_count + else None + ) + return Usage(prompt_tokens=0, completion_tokens=0, total_tokens=0, prompt_tokens_details=details) + + +MARENGO_SHARED_PARAMS: Final = ( + "encoding_format", + "embeddingOption", + "startSec", + "input_type", + "endSec", + "segmentation", + "embeddingType", + "embeddingScope", + "inferenceId", + "media_source", + "media_sources", +) + + +def drop_params_enabled(litellm_params: Mapping[str, object]) -> bool: + return litellm.drop_params is True or litellm_params.get("drop_params") is True class TwelveLabsMarengoEmbeddingConfig: @@ -26,28 +127,24 @@ class TwelveLabsMarengoEmbeddingConfig: Supports text, image, video, and audio inputs. - InvokeModel: text and image inputs - StartAsyncInvoke: video, audio, image, and text inputs + + Marengo 3.0 (model ids containing "marengo-embed-3") nests the input under a key named after inputType and + adds the text_image and multi_input input types; that payload is built by build_marengo_3_request. """ - def __init__(self) -> None: - pass + def __init__(self, model: str | None = None) -> None: + self.is_marengo_3: Final = is_marengo_3_model(model) def get_supported_openai_params(self) -> list[str]: - return [ - "encoding_format", - "textTruncate", - "embeddingOption", - "startSec", - "lengthSec", - "useFixedLengthSec", - "minClipSec", - "input_type", - ] + if self.is_marengo_3: + return list(MARENGO_SHARED_PARAMS) + return [*MARENGO_SHARED_PARAMS, *MARENGO_2_7_ONLY_PARAMS] def map_openai_params(self, non_default_params: dict, optional_params: dict) -> dict: for k, v in non_default_params.items(): if k == "encoding_format": # TwelveLabs doesn't have encoding_format, but we can map it to embeddingOption - if v == "float": + if v == "float" and not self.is_marengo_3: optional_params["embeddingOption"] = ["visual-text", "visual-image"] elif k == "textTruncate": optional_params["textTruncate"] = v @@ -56,7 +153,19 @@ class TwelveLabsMarengoEmbeddingConfig: elif k == "input_type": # Map input_type to inputType for Bedrock optional_params["inputType"] = v - elif k in ["startSec", "lengthSec", "useFixedLengthSec", "minClipSec"]: + elif k in ( + "startSec", + "lengthSec", + "useFixedLengthSec", + "minClipSec", + "endSec", + "segmentation", + "embeddingType", + "embeddingScope", + "inferenceId", + "media_source", + "media_sources", + ): optional_params[k] = v return optional_params @@ -77,7 +186,8 @@ class TwelveLabsMarengoEmbeddingConfig: async_invoke_route: bool = False, model_id: str | None = None, output_s3_uri: str | None = None, - ) -> TwelveLabsMarengoEmbeddingRequest | TwelveLabsAsyncInvokeRequest: + drop_params: bool = False, + ) -> TwelveLabsMarengoEmbeddingRequest | TwelveLabsMarengo3EmbeddingRequest | TwelveLabsAsyncInvokeRequest: """ Transform OpenAI-style input to TwelveLabs Marengo format/async-invoke format. @@ -87,20 +197,29 @@ class TwelveLabsMarengoEmbeddingConfig: - Video inputs (async-invoke only) - Audio inputs (async-invoke only) - S3 URLs for all media types (async-invoke only) + - Marengo 3.0 only: text_image and multi_input inputs (nested payload) """ - # Get input_type or default to "text" input_type: Final = cast( TWELVELABS_EMBEDDING_INPUT_TYPES, inference_params.get("inputType") or inference_params.get("input_type") or "text", ) - # Validate that async-invoke is used for video/audio if input_type in ["video", "audio"] and not async_invoke_route: raise ValueError( f"Input type '{input_type}' requires async_invoke route. " f"Use model format: 'bedrock/async_invoke/model_id'" ) + if self.is_marengo_3: + marengo_3_request: Final = build_marengo_3_request( + input=input, inference_params=inference_params, drop_params=drop_params + ) + if async_invoke_route and model_id: + return self._wrap_async_invoke_request( + model_input=marengo_3_request, model_id=model_id, output_s3_uri=output_s3_uri + ) + return marengo_3_request + transformed_request: Final[TwelveLabsMarengoEmbeddingRequest] = {"inputType": input_type} if input_type == "text": @@ -154,7 +273,7 @@ class TwelveLabsMarengoEmbeddingConfig: def _wrap_async_invoke_request( self, - model_input: TwelveLabsMarengoEmbeddingRequest, + model_input: TwelveLabsMarengoEmbeddingRequest | TwelveLabsMarengo3EmbeddingRequest, model_id: str, output_s3_uri: str | None = None, ) -> TwelveLabsAsyncInvokeRequest: @@ -188,62 +307,16 @@ class TwelveLabsMarengoEmbeddingConfig: ), ) - def _transform_response(self, response_list: list[dict], model: str) -> EmbeddingResponse: - """ - Transform TwelveLabs response to OpenAI format. - Handles the actual TwelveLabs response format: {"data": [{"embedding": [...]}]} - """ - embeddings: Final[list[Embedding]] = [] - total_tokens = 0 - - for response in response_list: - # TwelveLabs response format has a "data" field containing the embeddings - if "data" in response and isinstance(response["data"], list): - for item in response["data"]: - if "embedding" in item: - # Single embedding response - embedding = Embedding( - embedding=item["embedding"], - index=len(embeddings), - object="embedding", - ) - embeddings.append(embedding) - - # Estimate token count (rough approximation) - if "inputTextTokenCount" in item: - total_tokens += item["inputTextTokenCount"] - else: - # Rough estimate: 1 token per 4 characters for text, or use embedding size - total_tokens += len(item["embedding"]) // 4 - elif "embedding" in response: - # Direct embedding response (fallback for other formats) - embedding = Embedding( - embedding=response["embedding"], - index=len(embeddings), - object="embedding", - ) - embeddings.append(embedding) - - # Estimate token count (rough approximation) - if "inputTextTokenCount" in response: - total_tokens += response["inputTextTokenCount"] - else: - # Rough estimate: 1 token per 4 characters for text - total_tokens += len(response.get("inputText", "")) // 4 - elif "embeddings" in response: - # Multiple embeddings response (from video/audio) - for i, emb in enumerate(response["embeddings"]): - embedding = Embedding( - embedding=emb["embedding"], - index=len(embeddings), - object="embedding", - ) - embeddings.append(embedding) - total_tokens += len(emb["embedding"]) // 4 # Rough estimate - - usage: Final = Usage(prompt_tokens=total_tokens, total_tokens=total_tokens) - - return EmbeddingResponse(data=embeddings, model=model, usage=usage) + def _transform_response( + self, response_list: list[dict], model: str, batch_data: list[dict] | None = None + ) -> EmbeddingResponse: + vectors: Final = tuple( + vector for response in INVOKE_RESPONSES.validate_python(response_list) for vector in response.vectors() + ) + embeddings: Final = [ + Embedding(embedding=list(vector), index=index, object="embedding") for index, vector in enumerate(vectors) + ] + return EmbeddingResponse(data=embeddings, model=model, usage=_billed_usage(batch_data)) def _transform_async_invoke_response(self, response: dict, model: str) -> EmbeddingResponse: """ diff --git a/litellm/llms/bedrock/files/transformation.py b/litellm/llms/bedrock/files/transformation.py index 33b27943ad8..9875ac2b9c3 100644 --- a/litellm/llms/bedrock/files/transformation.py +++ b/litellm/llms/bedrock/files/transformation.py @@ -7,13 +7,13 @@ from contextlib import suppress from functools import cache from itertools import chain from types import MappingProxyType -from typing import Any, Final, TypeAlias, TypedDict +from typing import Any, Final, Literal, TypeAlias, TypedDict from urllib.parse import unquote import httpx from httpx import Headers, Response from openai.types.file_deleted import FileDeleted -from pydantic import BaseModel, ConfigDict, TypeAdapter +from pydantic import BaseModel, ConfigDict, Field, TypeAdapter from typing_extensions import ReadOnly from litellm._logging import verbose_logger @@ -60,11 +60,12 @@ from litellm.utils import get_llm_provider from ..base_aws_llm import BaseAWSLLM from ..common_utils import BedrockError, merge_bedrock_aws_request_params, resolve_s3_encryption_key_id -# litellm_params key used to hand the SigV4-signed GET headers from -# `transform_file_content_request` to `validate_environment` (the only hook -# the shared file-content HTTP handler exposes for setting request headers). -# Same pattern as the `upload_url` handoff in `transform_create_file_request`. -S3_SIGNED_GET_HEADERS_PARAM: Final = "_s3_signed_get_headers" +S3_SIGNED_REQUEST_HEADERS_PARAM: Final = "_s3_signed_request_headers" + + +class _S3DeleteContext(BaseModel): + file_id: str = Field(min_length=1) + # litellm_params key carrying the size of the body uploaded to S3, handed from # `transform_create_file_request` to `transform_create_file_response`. @@ -291,7 +292,7 @@ class BedrockFilesConfig(BaseAWSLLM, BaseFilesConfig): ) -> dict: result: Final[dict[str, object]] = {} result.update(headers) - signed_headers: Final = litellm_params.pop(S3_SIGNED_GET_HEADERS_PARAM, None) + signed_headers: Final = litellm_params.pop(S3_SIGNED_REQUEST_HEADERS_PARAM, None) if isinstance(signed_headers, Mapping): result.update(signed_headers) # any-ok: untyped handoff headers # otherwise no extra headers - AWS credentials are handled by BaseAWSLLM @@ -1187,18 +1188,27 @@ class BedrockFilesConfig(BaseAWSLLM, BaseFilesConfig): def transform_delete_file_request( self, file_id: str, - optional_params: dict, - litellm_params: dict, - ) -> tuple[str, dict]: - raise NotImplementedError("BedrockFilesConfig does not support file deletion") + optional_params: Mapping[str, object], + litellm_params: MutableMapping[str, object], + ) -> tuple[str, dict[str, str]]: + return self._transform_s3_file_request( + file_id=file_id, method="DELETE", optional_params=optional_params, litellm_params=litellm_params + ) def transform_delete_file_response( self, raw_response: httpx.Response, logging_obj: LiteLLMLoggingObj, - litellm_params: dict, + litellm_params: Mapping[str, object], ) -> FileDeleted: - raise NotImplementedError("BedrockFilesConfig does not support file deletion") + if raw_response.status_code != 204: + raise BedrockError( + status_code=raw_response.status_code if raw_response.status_code >= 400 else 502, + message=raw_response.text or f"S3 file deletion returned HTTP {raw_response.status_code}", + headers=raw_response.headers, + ) + context: Final = _S3DeleteContext.model_validate(logging_obj.model_call_details.get("additional_args")) + return FileDeleted(id=context.file_id, deleted=True, object="file") def transform_list_files_request( self, @@ -1233,6 +1243,18 @@ class BedrockFilesConfig(BaseAWSLLM, BaseFilesConfig): if not file_id: raise ValueError("file_id is required for Bedrock file content retrieval") + return self._transform_s3_file_request( + file_id=file_id, method="GET", optional_params=optional_params, litellm_params=litellm_params + ) + + def _transform_s3_file_request( + self, + *, + file_id: str, + method: Literal["GET", "DELETE"], + optional_params: Mapping[str, object], + litellm_params: MutableMapping[str, object], + ) -> tuple[str, dict[str, str]]: s3_uri: Final = extract_s3_uri_from_file_id(file_id) bucket_name, object_key = _validate_file_id_against_configured_buckets( s3_uri=s3_uri, @@ -1240,40 +1262,32 @@ class BedrockFilesConfig(BaseAWSLLM, BaseFilesConfig): allow_legacy_cloud_file_ids=should_allow_legacy_cloud_file_ids(litellm_params), ) - # The shared file-content handler passes optional_params={}, so AWS - # credentials/region arrive via litellm_params here (unlike the upload - # path). s3_region_name wins over aws_region_name, same priority as - # get_complete_file_url above. - merged_params: Final[dict[str, object]] = {} - merged_params.update(litellm_params) - merged_params.update(optional_params) - request_params: Final = _BedrockS3RequestParams.model_validate(merged_params) + request_params: Final = _BedrockS3RequestParams.model_validate({**litellm_params, **optional_params}) region_preference: Final = request_params.s3_region_name or request_params.aws_region_name region_params: Final[dict[str, str | None]] = {"aws_region_name": region_preference} aws_region_name: Final = self._get_aws_region_name(optional_params=region_params, model="") - s3_endpoint_url = ( + s3_endpoint_url: Final = ( request_params.s3_endpoint_url or f"https://s3.{aws_region_name}.{get_aws_dns_suffix(aws_region_name)}" ).rstrip("/") url: Final = f"{s3_endpoint_url}/{bucket_name}/{encode_s3_object_key_for_url(object_key)}" - litellm_params[S3_SIGNED_GET_HEADERS_PARAM] = self._sign_s3_get_request( + litellm_params[S3_SIGNED_REQUEST_HEADERS_PARAM] = self._sign_s3_request_without_body( api_base=url, aws_region_name=aws_region_name, request_params=request_params, + method=method, ) return url, {} - def _sign_s3_get_request( + def _sign_s3_request_without_body( self, api_base: str, aws_region_name: str, request_params: _BedrockS3RequestParams, + method: Literal["GET", "DELETE"] = "GET", ) -> dict[str, str]: - """ - SigV4-sign an S3 GetObject request, mirroring `_sign_s3_request` (PUT). - """ try: import hashlib @@ -1297,7 +1311,7 @@ class BedrockFilesConfig(BaseAWSLLM, BaseFilesConfig): empty_body_hash: Final = hashlib.sha256(b"").hexdigest() aws_request: Final = AWSRequest( # any-ok: botocore AWSRequest is untyped - method="GET", + method=method, url=api_base, headers={"x-amz-content-sha256": empty_body_hash}, ) diff --git a/litellm/llms/custom_httpx/llm_http_handler.py b/litellm/llms/custom_httpx/llm_http_handler.py index 8b6d3a0ceb4..84b03e1955a 100644 --- a/litellm/llms/custom_httpx/llm_http_handler.py +++ b/litellm/llms/custom_httpx/llm_http_handler.py @@ -579,7 +579,7 @@ class BaseLLMHTTPHandler: data: dict[str, object], # mutable-ok: async_completion takes dict signed_headers: dict[str, object], # mutable-ok: async_completion takes dict signed_json_body: bytes | None, - ): + ) -> Coroutine[object, object, ModelResponse | CustomStreamWrapper]: async_client: Final = client if isinstance(client, AsyncHTTPHandler) else None if stream is True: return self.acompletion_stream_function( @@ -626,7 +626,7 @@ class BaseLLMHTTPHandler: if acompletion is True and provider_config.uses_async_transform_request: - async def transform_then_dispatch(): + async def transform_then_dispatch() -> ModelResponse | CustomStreamWrapper: transformed: Final = cast( # cast-ok: async_transform_request is declared as a bare dict "dict[str, object]", await provider_config.async_transform_request( @@ -9826,7 +9826,7 @@ class BaseLLMHTTPHandler: vector_store_search_optional_params=vector_store_search_optional_params, api_base=api_base, litellm_logging_obj=logging_obj, - litellm_params=dict(litellm_params), + litellm_params=MappingProxyType(dict(litellm_params, timeout=timeout)), extra_body=extra_body, embedding_executor=embedding_executor, ) @@ -9871,6 +9871,12 @@ class BaseLLMHTTPHandler: data=request_data, timeout=timeout, ) + except httpx.TimeoutException: + raise vector_store_provider_config.get_error_class( + error_message="Vector store search exceeded the caller timeout.", + status_code=408, + headers=httpx.Headers(), + ) from None except Exception as e: raise self._handle_error(e=e, provider_config=vector_store_provider_config) @@ -9955,7 +9961,7 @@ class BaseLLMHTTPHandler: vector_store_search_optional_params=vector_store_search_optional_params, api_base=api_base, litellm_logging_obj=logging_obj, - litellm_params=dict(litellm_params), + litellm_params=MappingProxyType(dict(litellm_params, timeout=timeout)), extra_body=extra_body, embedding_executor=embedding_executor, ) @@ -10000,7 +10006,14 @@ class BaseLLMHTTPHandler: url=url, headers=headers, data=request_data, + timeout=timeout, ) + except httpx.TimeoutException: + raise vector_store_provider_config.get_error_class( + error_message="Vector store search exceeded the caller timeout.", + status_code=408, + headers=httpx.Headers(), + ) from None except Exception as e: raise self._handle_error(e=e, provider_config=vector_store_provider_config) @@ -10030,6 +10043,8 @@ class BaseLLMHTTPHandler: else: async_httpx_client = client + vector_store_provider_config.validate_create_vector_store() + headers: Final = vector_store_provider_config.validate_environment( headers=extra_headers or {}, litellm_params=litellm_params ) @@ -10100,6 +10115,8 @@ class BaseLLMHTTPHandler: else: sync_httpx_client = client + vector_store_provider_config.validate_create_vector_store() + headers: Final = vector_store_provider_config.validate_environment( headers=extra_headers or {}, litellm_params=litellm_params ) diff --git a/litellm/llms/fireworks_ai/responses/transformation.py b/litellm/llms/fireworks_ai/responses/transformation.py index fb0587553d4..f7dd774ea18 100644 --- a/litellm/llms/fireworks_ai/responses/transformation.py +++ b/litellm/llms/fireworks_ai/responses/transformation.py @@ -1,10 +1,10 @@ -from collections.abc import Mapping +from collections.abc import Mapping, Sequence from types import MappingProxyType from typing import TYPE_CHECKING, Final from urllib.parse import unquote import httpx -from openai.types.responses import EasyInputMessageParam, ResponseInputItemParam +from openai.types.responses import EasyInputMessageParam, ResponseInputContentParam, ResponseInputItemParam from litellm.llms.fireworks_ai.common_utils import ( resolve_fireworks_api_key, @@ -31,6 +31,17 @@ def _session_params(litellm_params: GenericLiteLLMParams) -> Mapping[str, object ) +_INSTRUCTION_ROLES: Final = frozenset({"system", "developer"}) + + +def _role(item: ResponseInputItemParam) -> str | None: + match item: + case {"role": str(role)}: + return role + case _: + return None + + def _developer_item_as_system(item: ResponseInputItemParam) -> ResponseInputItemParam: if "role" not in item or item["role"] != "developer": return item @@ -43,6 +54,69 @@ def _developer_items_as_system(input: str | ResponseInputParam) -> str | Respons return [_developer_item_as_system(item) for item in input] +def _text_part(part: ResponseInputContentParam) -> str | None: + match part: + case {"type": "input_text", "text": str(text)}: + return text + case _: + return None + + +def _text_only_content(item: ResponseInputItemParam) -> str | None: + match item: + case {"role": "system" | "developer", "content": str(text)}: + return text + case {"role": "system" | "developer", "content": [*parts]}: + texts: Final = tuple(map(_text_part, parts)) + return None if any(text is None for text in texts) else "\n\n".join(text for text in texts if text) + case _: + return None + + +def _leading_instruction_block_length(roles: Sequence[str | None]) -> int: + return next((index for index, role in enumerate(roles) if role not in _INSTRUCTION_ROLES), len(roles)) + + +def _closing_instruction_block_start(roles: Sequence[str | None], leading_length: int) -> int: + last_conversation_index: Final = next( + (index for index in range(len(roles) - 1, leading_length - 1, -1) if roles[index] not in _INSTRUCTION_ROLES), + None, + ) + if last_conversation_index is None or roles[last_conversation_index] != "assistant": + return len(roles) + return last_conversation_index + 1 + + +def _hoisted_indices(roles: Sequence[str | None]) -> tuple[int, ...]: + leading_length: Final = _leading_instruction_block_length(roles) + closing_start: Final = _closing_instruction_block_start(roles, leading_length) + return tuple( + index for index, role in enumerate(roles[:closing_start]) if index < leading_length or role == "developer" + ) + + +def _with_instruction_items_folded( + input: str | ResponseInputParam, instructions: str | None +) -> tuple[str | None, str | ResponseInputParam]: + if isinstance(input, str): + return instructions, input + items: Final = tuple(input) + folded: Final = MappingProxyType( + { + index: text + for index in _hoisted_indices(tuple(map(_role, items))) + if (text := _text_only_content(items[index])) is not None + } + ) + joined: Final = "\n\n".join(chunk for chunk in (instructions, *folded.values()) if chunk) + return ( + instructions if not folded else joined or None, + [ # mutable-ok: the base class takes the input items as a list + _developer_item_as_system(item) for index, item in enumerate(items) if index not in folded + ], + ) + + class FireworksAIResponsesAPIConfig(OpenAIResponsesAPIConfig): @property def custom_llm_provider(self) -> LlmProviders: @@ -68,9 +142,6 @@ class FireworksAIResponsesAPIConfig(OpenAIResponsesAPIConfig): base: Final = (api_base or get_secret_str("FIREWORKS_API_BASE") or FIREWORKS_AI_DEFAULT_API_BASE).rstrip("/") return f"{base}/responses" - def _validate_input_param(self, input: str | ResponseInputParam) -> str | ResponseInputParam: - return _developer_items_as_system(super()._validate_input_param(input)) - def transform_responses_api_request( self, model: str, @@ -79,10 +150,25 @@ class FireworksAIResponsesAPIConfig(OpenAIResponsesAPIConfig): litellm_params: GenericLiteLLMParams, headers: dict, # mutable-ok: overrides the base class signature ) -> dict: # mutable-ok: overrides the base class signature + instructions_param: Final[object] = response_api_optional_request_params.get("instructions") + validated_input: Final = self._validate_input_param(input) + instructions, folded_input = ( + _with_instruction_items_folded(validated_input, instructions_param) + if isinstance(instructions_param, str | None) + else (instructions_param, _developer_items_as_system(validated_input)) + ) + instruction_entries: Final = () if instructions is None else (("instructions", instructions),) + folded_params: Final = { # mutable-ok: the base class takes the optional params as a dict + key: value + for key, value in ( + *((key, value) for key, value in response_api_optional_request_params.items() if key != "instructions"), + *instruction_entries, + ) + } return super().transform_responses_api_request( model=resolve_fireworks_resource_name(model), - input=input, - response_api_optional_request_params=response_api_optional_request_params, + input=folded_input, + response_api_optional_request_params=folded_params, litellm_params=litellm_params, headers=headers, ) diff --git a/litellm/llms/mongodb/common_utils.py b/litellm/llms/mongodb/common_utils.py deleted file mode 100644 index 02c0b359407..00000000000 --- a/litellm/llms/mongodb/common_utils.py +++ /dev/null @@ -1,303 +0,0 @@ -"""Shared helpers for the MongoDB integrations. pymongo lives in the optional ``mongodb`` extra, -so every import of it is deferred to call time.""" - -import asyncio -import threading -import weakref -from asyncio import AbstractEventLoop -from collections import OrderedDict -from collections.abc import Callable, Mapping -from dataclasses import dataclass -from types import MappingProxyType -from typing import TYPE_CHECKING, Final, TypeAlias, TypeVar - -from litellm.exceptions import BadRequestError, ServiceUnavailableError, Timeout - -if TYPE_CHECKING: - from pymongo import AsyncMongoClient, MongoClient - -PYMONGO_INSTALL_HINT: Final = ( - "The MongoDB vector store requires the 'pymongo' package. " - "Run 'pip install litellm[mongodb]' (or 'pip install pymongo') to install it." -) - -MONGODB_PROVIDER: Final = "mongodb" - - -def config_error(message: str) -> BadRequestError: - """400 rather than the 500 a bare ValueError becomes once litellm.exception_type wraps it.""" - return BadRequestError(message=message, model=None, llm_provider=MONGODB_PROVIDER) - - -def timeout_error(message: str) -> Timeout: - return Timeout(message=message, model=None, llm_provider=MONGODB_PROVIDER) - - -def unavailable_error(message: str) -> ServiceUnavailableError: - """litellm only retries 408, 409, 429 and 5xx, so a 400 here would make a failover permanent.""" - return ServiceUnavailableError(message=message, model=None, llm_provider=MONGODB_PROVIDER) - - -DEFAULT_CONNECT_TIMEOUT_MS: Final = 10_000 -DEFAULT_SOCKET_TIMEOUT_MS: Final = 30_000 -DEFAULT_SERVER_SELECTION_TIMEOUT_MS: Final = 10_000 - -_MAX_CACHED_CLIENTS: Final = 32 - -_APP_NAME: Final = "litellm" - - -@dataclass(frozen=True, slots=True) -class MongoClientKey: - connection_string: str - connect_timeout_ms: int - socket_timeout_ms: int - server_selection_timeout_ms: int - - -SyncClientFactory: TypeAlias = Callable[..., "MongoClient"] -AsyncClientFactory: TypeAlias = Callable[..., "AsyncMongoClient"] - -_K = TypeVar("_K") -_V = TypeVar("_V") - -_AsyncClientCacheKey: TypeAlias = tuple[MongoClientKey, int] -# CPython recycles id() aggressively, so the id alone would hand a new loop a closed loop's client -_AsyncClientEntry: TypeAlias = tuple["weakref.ref[AbstractEventLoop]", "AsyncMongoClient"] - -_SyncClientCache: TypeAlias = "OrderedDict[MongoClientKey, MongoClient]" -_AsyncClientCache: TypeAlias = "OrderedDict[_AsyncClientCacheKey, _AsyncClientEntry]" - -_sync_clients: Final[_SyncClientCache] = OrderedDict() # mutable-ok: process-level client cache -_async_clients: Final[_AsyncClientCache] = OrderedDict() # mutable-ok: same cache, per loop -# async searches reach the sync client through executor threads, so both caches are shared state -_cache_lock: Final = threading.Lock() - - -def _store_bounded(cache: "OrderedDict[_K, _V]", cache_key: "_K", value: "_V") -> None: - """Eviction only drops this cache's reference; an in-flight search keeps its client alive.""" - with _cache_lock: - cache[cache_key] = value # mutable-ok: an LRU cache is mutable state by definition - cache.move_to_end(cache_key) - while len(cache) > _MAX_CACHED_CLIENTS: - cache.popitem(last=False) - - -def _mark_used(cache: "OrderedDict[_K, _V]", cache_key: "_K") -> None: - with _cache_lock: - if cache_key in cache: - cache.move_to_end(cache_key) - - -def import_sync_mongo_client() -> "type[MongoClient]": - try: - from pymongo import MongoClient as SyncMongoClient - except ImportError as e: - raise config_error(PYMONGO_INSTALL_HINT) from e - return SyncMongoClient - - -def import_async_mongo_client() -> "type[AsyncMongoClient]": - try: - from pymongo import AsyncMongoClient as AsyncMongoClientClass - except ImportError as e: - raise config_error(PYMONGO_INSTALL_HINT) from e - return AsyncMongoClientClass - - -def _client_kwargs(key: MongoClientKey) -> Mapping[str, object]: - return MappingProxyType( - { - "connectTimeoutMS": key.connect_timeout_ms, - "socketTimeoutMS": key.socket_timeout_ms, - "serverSelectionTimeoutMS": key.server_selection_timeout_ms, - "appname": _APP_NAME, - } - ) - - -def get_sync_client(key: MongoClientKey, client_class: SyncClientFactory | None = None) -> "MongoClient": - cached: Final = _sync_clients.get(key) - if cached is not None: - _mark_used(_sync_clients, key) - return cached - build: Final = client_class if client_class is not None else import_sync_mongo_client() - client: Final = build(key.connection_string, **_client_kwargs(key)) - _store_bounded(_sync_clients, key, client) - return client - - -def _purge_dead_loops() -> None: - """A cached client holds its loop alive, so a closed loop's entry would pin that client and its - sockets for the life of the process.""" - with _cache_lock: - for stale in tuple( - cache_key - for cache_key, (loop_ref, _) in _async_clients.items() - if (cached_loop := loop_ref()) is None or cached_loop.is_closed() - ): - del _async_clients[stale] - - -def get_async_client(key: MongoClientKey, client_class: AsyncClientFactory | None = None) -> "AsyncMongoClient": - """Async clients bind to the loop that created them, so the cache is keyed per loop.""" - loop: Final = asyncio.get_running_loop() - loop_key: Final = (key, id(loop)) - cached: Final = _async_clients.get(loop_key) - if cached is not None and cached[0]() is loop: - _mark_used(_async_clients, loop_key) - return cached[1] - _purge_dead_loops() - build: Final = client_class if client_class is not None else import_async_mongo_client() - client: Final = build(key.connection_string, **_client_kwargs(key)) - _store_bounded(_async_clients, loop_key, (weakref.ref(loop), client)) - return client - - -def reset_client_cache() -> None: - with _cache_lock: - _sync_clients.clear() - _async_clients.clear() - - -_AUTHENTICATION_FAILED_CODE: Final = 18 -_UNAUTHORIZED_CODE: Final = 13 -# Atlas reports a rejected user as code 8000 "AtlasError" where a self-managed mongod reports 18 -_AUTHENTICATION_MESSAGE_MARKERS: Final = ("bad auth", "authentication failed", "not authorized") -_RESOLUTION_TIMEOUT_MARKERS: Final = ("resolution lifetime expired", "dns operation timed out") -_UNKNOWN_HOSTNAME_MARKERS: Final = ("dns query name does not exist", "name or service not known") -_CREDENTIAL_ESCAPING_MARKERS: Final = ("must be escaped according to rfc 3986", "bad database name") - - -def _index_hint(index_name: str, database: str, collection: str) -> str: - return ( - f"No queryable MongoDB Vector Search index named '{index_name}' was found on " - f"'{database}.{collection}'. Confirm the index exists on that exact collection, that its " - "status is READY rather than still building, and that the vector store id matches the index name." - ) - - -def missing_index_error(index_name: str, database: str, collection: str) -> BadRequestError: - """$vectorSearch against a missing index, database or collection returns zero documents rather - than failing, so an empty result set is checked against the catalogue and reported as this.""" - return config_error( - f"{_index_hint(index_name, database, collection)} A vector search against a database, " - "collection or index that does not exist returns no results rather than an error, so this " - "was reported as an empty result set by MongoDB." - ) - - -def index_not_ready_error(index_name: str, database: str, collection: str, status: str) -> BadRequestError: - return config_error( - f"The MongoDB Vector Search index '{index_name}' on '{database}.{collection}' is not queryable " - f"yet; its status is {status}. Searches against it return no results until the build finishes." - ) - - -def translate_mongo_error(error: Exception, index_name: str, database: str, collection: str) -> Exception: - """Returns the exception to raise, so callers keep the driver error as ``__cause__``.""" - try: - from pymongo.errors import ( - ConfigurationError, - ConnectionFailure, - ExecutionTimeout, - InvalidOperation, - NetworkTimeout, - OperationFailure, - ServerSelectionTimeoutError, - ) - except ImportError: - return error - - if isinstance(error, ServerSelectionTimeoutError): - return timeout_error( - "Could not reach the MongoDB deployment before the timeout. On Atlas this is usually the " - "project's IP access list not containing this host, or a paused cluster. On a self-managed " - "deployment it is usually the host or port in the URI, or a firewall between this process " - f"and mongod. Either way it can also be an unresolvable hostname. Driver detail: {error}" - ) - # ExecutionTimeout subclasses OperationFailure, so it has to be matched before it - if isinstance(error, (NetworkTimeout, ExecutionTimeout)): - return timeout_error( - f"The MongoDB vector search against '{database}.{collection}' timed out before returning. " - f"Driver detail: {error}" - ) - # ServerSelectionTimeoutError and NetworkTimeout also subclass ConnectionFailure, so this only - # sees what those branches left - if isinstance(error, ConnectionFailure): - return unavailable_error( - f"The connection to '{database}.{collection}' was dropped or refused. That is usually a " - "replica set failover or a restarted node, so the search is worth retrying. If it keeps " - "happening: on Atlas the usual cause is a connection string with no username and password, " - "or a TLS failure, so confirm the URI is the one Atlas shows under Connect, Drivers; on a " - "self-managed deployment, check that mongod is listening on the host and port in the URI. " - f"Driver detail: {error}" - ) - if isinstance(error, OperationFailure): - code: Final = error.code - detail: Final = str(error).lower() - if code in (_AUTHENTICATION_FAILED_CODE, _UNAUTHORIZED_CODE) or any( - marker in detail for marker in _AUTHENTICATION_MESSAGE_MARKERS - ): - return config_error( - "MongoDB rejected the credentials in mongodb_connection_string, or the database user " - f"lacks read access to '{database}.{collection}'. Driver detail: {error.details}" - ) - if "dimension" in detail: - return config_error( - "The query embedding does not match the vector dimensions the index was built for. " - "litellm_embedding_model must be the same model that produced the stored vectors. " - f"Driver detail: {error}" - ) - if "is not indexed as vector" in detail: - return config_error( - "mongodb_embedding_field names a field the MongoDB Vector Search index does not cover. " - f"It must match the 'path' the index '{index_name}' was created on. Driver detail: {error}" - ) - if "index" in detail and ("not found" in detail or "does not exist" in detail or "unknown" in detail): - return config_error(f"{_index_hint(index_name, database, collection)} Driver detail: {error}") - return config_error( - f"MongoDB rejected the vector search against '{database}.{collection}' using index " - f"'{index_name}'. Driver detail: {error}" - ) - if isinstance(error, ConfigurationError): - configuration_detail: Final = str(error).lower() - if any(marker in configuration_detail for marker in _RESOLUTION_TIMEOUT_MARKERS): - return timeout_error( - "The DNS lookup for the cluster in mongodb_connection_string did not finish in time. " - "A mongodb+srv:// URI needs an SRV lookup before any connection is attempted, so this " - f"is DNS or the configured timeout, not MongoDB. Driver detail: {error}" - ) - if any(marker in configuration_detail for marker in _UNKNOWN_HOSTNAME_MARKERS): - return config_error( - "The hostname in mongodb_connection_string does not exist in DNS. On Atlas, check the " - "cluster name against the URI shown under Connect, Drivers. On a self-managed deployment, " - f"check that the hostname resolves from this process. Driver detail: {error}" - ) - if any(marker in configuration_detail for marker in _CREDENTIAL_ESCAPING_MARKERS): - return config_error( - "mongodb_connection_string could not be parsed. A username or password containing " - "'@', '/', ':' or '%' has to be percent-encoded per RFC 3986, so 'p@ss/word' becomes " - "'p%40ss%2Fword'. If the credentials are already encoded, check the database name in " - f"the URI path instead. Driver detail: {error}" - ) - return config_error( - f"mongodb_connection_string is not a usable MongoDB connection string. Driver detail: {error}" - ) - if isinstance(error, InvalidOperation): - return config_error(f"The MongoDB client was already closed or is unusable. Driver detail: {error}") - # An unreadable tlsCAFile or tlsCertificateKeyFile raises OSError, not a PyMongoError - if isinstance(error, OSError) and error.filename: - return config_error( - f"'{error.filename}', named by a TLS option in mongodb_connection_string, could not be read. " - "Check that tlsCAFile and tlsCertificateKeyFile point at files this process can open; inside " - f"a container that is the path in the container, not on the host. Driver detail: {error}" - ) - # pymongo raises a plain ValueError, not a PyMongoError, for an unusable port - if isinstance(error, ValueError): - return config_error( - "The host and port in mongodb_connection_string could not be parsed. If the port is a " - "number between 0 and 65535, the cause is usually an unescaped ':' in the password, which " - f"has to be percent-encoded per RFC 3986 as '%3A'. Driver detail: {error}" - ) - return error diff --git a/litellm/llms/mongodb/vector_stores/transformation.py b/litellm/llms/mongodb/vector_stores/transformation.py index 3382c931c96..a59f39d3be8 100644 --- a/litellm/llms/mongodb/vector_stores/transformation.py +++ b/litellm/llms/mongodb/vector_stores/transformation.py @@ -1,37 +1,29 @@ -"""MongoDB Vector Search has no HTTP query API, so this is a direct provider that runs the -``$vectorSearch`` aggregation through pymongo. ``vector_store_id`` is the search index name.""" - -from collections.abc import Callable, Mapping, Sequence +from collections.abc import Mapping, Sequence +from ipaddress import ip_address +from math import isfinite from types import MappingProxyType -from typing import TYPE_CHECKING, Final, NoReturn +from typing import TYPE_CHECKING, Final, Literal, NoReturn +from urllib.parse import quote, urlsplit import httpx -from pydantic import BaseModel, ConfigDict +from pydantic import BaseModel, ConfigDict, TypeAdapter, ValidationError +from litellm.exceptions import AuthenticationError, BadRequestError, ServiceUnavailableError, Timeout +from litellm.llms.base_llm.chat.transformation import BaseLLMException from litellm.llms.base_llm.vector_store.transformation import ( - BaseDirectVectorStoreConfig, + BaseQueryEmbeddingVectorStoreConfig, LiteLLMVectorStoreEmbeddingExecutor, VectorStoreEmbeddingExecutor, ) -from litellm.llms.mongodb.common_utils import ( - DEFAULT_CONNECT_TIMEOUT_MS, - DEFAULT_SERVER_SELECTION_TIMEOUT_MS, - DEFAULT_SOCKET_TIMEOUT_MS, - MongoClientKey, - config_error, - get_async_client, - get_sync_client, - index_not_ready_error, - missing_index_error, - translate_mongo_error, -) +from litellm.secret_managers.main import get_secret_str +from litellm.types.router import GenericLiteLLMParams from litellm.types.utils import EmbeddingResponse from litellm.types.vector_stores import ( + BaseVectorStoreAuthCredentials, VectorStoreCreateOptionalRequestParams, - VectorStoreResultContent, + VectorStoreIndexEndpoints, VectorStoreSearchOptionalRequestParams, VectorStoreSearchResponse, - VectorStoreSearchResult, ) if TYPE_CHECKING: @@ -39,26 +31,45 @@ if TYPE_CHECKING: DEFAULT_EMBEDDING_FIELD_NAME: Final = "embedding" DEFAULT_TEXT_FIELD_NAME: Final = "text" -SCORE_FIELD_NAME: Final = "score" - DEFAULT_MAX_NUM_RESULTS: Final = 10 MIN_MAX_NUM_RESULTS: Final = 1 MAX_MAX_NUM_RESULTS: Final = 50 - NUM_CANDIDATES_MULTIPLIER: Final = 10 MIN_NUM_CANDIDATES: Final = 100 MAX_NUM_CANDIDATES: Final = 10_000 - MAX_QUERY_CHARACTERS: Final = 32_000 - _EMPTY_EMBEDDING_CONFIG: Final = MappingProxyType({}) - _SEARCH_ONLY_MESSAGE: Final = ( "MongoDB vector store is search-only. Create the collection and its MongoDB Vector Search " "index in MongoDB directly, then register it here by index name." ) +def config_error(message: str) -> BadRequestError: + return BadRequestError(message=message, model=None, llm_provider="mongodb") + + +class _Content(BaseModel): + model_config = ConfigDict(frozen=True, strict=True) + type: Literal["text"] + text: str + + +class _Result(BaseModel): + model_config = ConfigDict(frozen=True, strict=True, allow_inf_nan=False) + score: float | None + content: Sequence[_Content] + file_id: str | None + filename: str | None + + +class _SearchResponse(BaseModel): + model_config = ConfigDict(frozen=True, strict=True) + object: Literal["vector_store.search_results.page"] + search_query: str + data: Sequence[_Result] + + class _MongoDBSearchParams(BaseModel): """Typed view over the vector store's litellm_params; unrelated keys are ignored.""" @@ -66,7 +77,6 @@ class _MongoDBSearchParams(BaseModel): litellm_embedding_model: str | None = None litellm_embedding_config: Mapping[str, object] | None = None - mongodb_connection_string: str | None = None mongodb_database: str | None = None mongodb_collection: str | None = None mongodb_text_field: str | None = None @@ -91,21 +101,6 @@ class _MongoDBSearchParams(BaseModel): ) return self.litellm_embedding_model - def require_connection_string(self) -> str: - if not self.mongodb_connection_string: - raise config_error( - "mongodb_connection_string is required in litellm_params for the MongoDB vector store. " - "Example: mongodb+srv://:@.mongodb.net for Atlas, or " - "mongodb://:@:27017 for a self-managed deployment" - ) - scheme: Final = self.mongodb_connection_string.split("://", 1)[0].lower() - if scheme not in ("mongodb", "mongodb+srv"): - raise config_error( - "mongodb_connection_string must start with 'mongodb://' or 'mongodb+srv://', " - f"got '{self.mongodb_connection_string.split('://', 1)[0]}://'" - ) - return self.mongodb_connection_string - def require_database(self) -> str: if not self.mongodb_database: raise config_error( @@ -127,30 +122,28 @@ _MONGODB_PARAM_PREFIX: Final = "mongodb_" _KNOWN_MONGODB_PARAMS: Final = frozenset( name for name in _MongoDBSearchParams.model_fields if name.startswith(_MONGODB_PARAM_PREFIX) ) +_RESPONSE_ADAPTER: Final = TypeAdapter(VectorStoreSearchResponse) -class MongoDBVectorStoreConfig(BaseDirectVectorStoreConfig): - def __init__( - self, - embedding_executor: VectorStoreEmbeddingExecutor | None = None, - sync_client_factory: Callable[[MongoClientKey], object] | None = None, - async_client_factory: Callable[[MongoClientKey], object] | None = None, - ) -> None: - super().__init__() - self.embedding_executor: Final[VectorStoreEmbeddingExecutor] = ( - embedding_executor if embedding_executor is not None else LiteLLMVectorStoreEmbeddingExecutor() - ) - self.sync_client_factory: Final[Callable[[MongoClientKey], object]] = ( - sync_client_factory if sync_client_factory is not None else get_sync_client - ) - self.async_client_factory: Final[Callable[[MongoClientKey], object]] = ( - async_client_factory if async_client_factory is not None else get_async_client - ) +class MongoDBVectorStoreConfig(BaseQueryEmbeddingVectorStoreConfig): + def __init__(self, embedding_executor: VectorStoreEmbeddingExecutor | None = None) -> None: + self.embedding_executor: Final = embedding_executor or LiteLLMVectorStoreEmbeddingExecutor() + + def get_auth_credentials(self, litellm_params: Mapping[str, object]) -> BaseVectorStoreAuthCredentials: + return BaseVectorStoreAuthCredentials() + + def get_vector_store_endpoints_by_type(self) -> VectorStoreIndexEndpoints: + return VectorStoreIndexEndpoints(read=[], write=[]) # mutable-ok: the TypedDict declares list fields @staticmethod def _reject_unknown_params(litellm_params: Mapping[str, object]) -> None: """Without this a mistyped mongodb_collection reads as 'mongodb_collection is required', naming a key the reader can see they have set.""" + if litellm_params.get("mongodb_connection_string") is not None: + raise config_error( + "MongoDB vector stores now use the BETA sidecar. Move mongodb_connection_string to " + "MONGODB_CONNECTION_STRING in the sidecar, remove it from LiteLLM, and configure api_base and api_key." + ) unknown: Final = sorted( key for key in litellm_params if key.startswith(_MONGODB_PARAM_PREFIX) and key not in _KNOWN_MONGODB_PARAMS ) @@ -191,239 +184,203 @@ class MongoDBVectorStoreConfig(BaseDirectVectorStoreConfig): return configured return min(max(limit * NUM_CANDIDATES_MULTIPLIER, MIN_NUM_CANDIDATES), MAX_NUM_CANDIDATES) - @staticmethod - def _timeout_ms(timeout: float | httpx.Timeout | None) -> tuple[int, int]: - """The connect and socket budgets pymongo is built with, in that order.""" - if isinstance(timeout, httpx.Timeout): - return ( - int((timeout.connect or DEFAULT_CONNECT_TIMEOUT_MS / 1000) * 1000), - int((timeout.read or DEFAULT_SOCKET_TIMEOUT_MS / 1000) * 1000), + def validate_environment( + self, headers: Mapping[str, object], litellm_params: GenericLiteLLMParams | None + ) -> dict[str, object]: # mutable-ok: the shared HTTP handler requires writable headers + if litellm_params is None: + raise config_error("Configure api_base and api_key for the MongoDB BETA sidecar.") + self._reject_unknown_params(MappingProxyType(dict(litellm_params))) + api_key: Final = litellm_params.api_key or get_secret_str("MONGODB_SIDECAR_API_KEY") + if not api_key: + raise config_error("MongoDB sidecar api_key is required. Set api_key or MONGODB_SIDECAR_API_KEY.") + return { + **headers, + "Authorization": f"Bearer {api_key}", + "Content-Type": "application/json", + } # mutable-ok: writable HTTP headers + + def get_complete_url(self, api_base: str | None, litellm_params: Mapping[str, object]) -> str: + if not api_base: + raise config_error("MongoDB sidecar api_base is required, for example http://127.0.0.1:8080.") + try: + parsed: Final = urlsplit(api_base) + valid: Final = parsed.scheme in ("http", "https") and bool(parsed.hostname) and parsed.port != 0 + except ValueError: + raise config_error("MongoDB sidecar api_base must be a valid HTTP or HTTPS URL.") from None + if not valid or parsed.username or parsed.password or parsed.query or parsed.fragment: + raise config_error( + "MongoDB sidecar api_base must be an HTTP or HTTPS URL without credentials, query, or fragment." ) - if timeout is None: - return DEFAULT_CONNECT_TIMEOUT_MS, DEFAULT_SOCKET_TIMEOUT_MS - return min(int(float(timeout) * 1000), DEFAULT_CONNECT_TIMEOUT_MS), int(float(timeout) * 1000) + if parsed.scheme == "http": + try: + loopback: Final = ip_address(parsed.hostname or "").is_loopback + except ValueError: + raise config_error( + "MongoDB sidecar requires HTTPS. HTTP is supported only for a loopback IP such as 127.0.0.1." + ) from None + if not loopback: + raise config_error( + "MongoDB sidecar requires HTTPS. HTTP is supported only for a loopback IP such as 127.0.0.1." + ) + return api_base.rstrip("/") + + @staticmethod + def _timeout_ms(value: object) -> int: + seconds: Final = value.read if isinstance(value, httpx.Timeout) else value + if seconds is None: + return 30_000 + if not isinstance(seconds, (int, float)) or not isfinite(seconds) or seconds <= 0: + raise config_error("MongoDB search timeout must be a positive finite number.") + try: + return max(1, int(seconds * 1000)) + except (ValueError, OverflowError): + raise config_error("MongoDB search timeout must be a positive finite number.") from None @classmethod - def _client_key(cls, params: _MongoDBSearchParams, timeout: float | httpx.Timeout | None) -> MongoClientKey: - connect_ms, socket_ms = cls._timeout_ms(timeout) - return MongoClientKey( - connection_string=params.require_connection_string(), - connect_timeout_ms=connect_ms, - socket_timeout_ms=socket_ms, - server_selection_timeout_ms=min(connect_ms, DEFAULT_SERVER_SELECTION_TIMEOUT_MS), - ) + def _params( + cls, + litellm_params: Mapping[str, object], + optional_params: VectorStoreSearchOptionalRequestParams, + extra_body: Mapping[str, object] | None, + ) -> _MongoDBSearchParams: + cls._reject_unknown_params(litellm_params) + if extra_body: + raise config_error("MongoDB vector store does not support extra_body overrides.") + for unsupported in ("filters", "ranking_options", "rewrite_query"): + if optional_params.get(unsupported) is not None: + raise config_error(f"MongoDB vector store does not support the {unsupported} parameter.") + try: + params: Final = _MongoDBSearchParams.model_validate(litellm_params) + except ValidationError: + raise config_error( + "Invalid MongoDB vector-store configuration. Check the database, collection, fields, and candidate count." + ) from None + params.require_database() + params.require_collection() + params.require_embedding_model() + cls._num_candidates(cls._limit(optional_params), params.mongodb_num_candidates) + cls._timeout_ms(litellm_params.get("timeout")) + return params @classmethod - def _pipeline( + def _request( cls, vector_store_id: str, - query_vector: Sequence[float], + query_text: str, params: _MongoDBSearchParams, - vector_store_search_optional_params: VectorStoreSearchOptionalRequestParams, - ) -> Sequence[Mapping[str, object]]: - if vector_store_search_optional_params.get("filters") is not None: + optional_params: VectorStoreSearchOptionalRequestParams, + api_base: str, + embedding_response: EmbeddingResponse, + timeout: object, + ) -> tuple[str, dict[str, object]]: # mutable-ok: the provider contract returns a writable JSON request body + if not embedding_response.data: raise config_error( - "MongoDB vector store does not support the filters parameter yet. " - "Restrict the collection or the MongoDB Vector Search index definition instead." + "The embedding model returned no embedding for the search query. Check litellm_embedding_model." ) - if vector_store_search_optional_params.get("ranking_options") is not None: - raise config_error( - "MongoDB vector store does not support the ranking_options parameter yet. " - "Every result already carries the vectorSearchScore, so filter or re-rank " - "on that rather than having the threshold silently ignored." - ) - if vector_store_search_optional_params.get("rewrite_query") is not None: - raise config_error( - "MongoDB vector store does not support the rewrite_query parameter. The query is " - "embedded exactly as sent; rewrite it before calling if you need that." - ) - limit: Final = cls._limit(vector_store_search_optional_params) - search: Final = MappingProxyType( - { - "index": vector_store_id, - "path": params.embedding_field, - "queryVector": tuple(query_vector), - "numCandidates": cls._num_candidates(limit, params.mongodb_num_candidates), - "limit": limit, - } - ) - projection: Final = MappingProxyType( - {params.text_field: 1, SCORE_FIELD_NAME: MappingProxyType({"$meta": "vectorSearchScore"})} - ) - return [ # mutable-ok: pymongo rejects any non-list pipeline in common.validate_list - MappingProxyType({"$vectorSearch": search}), - MappingProxyType({"$project": projection}), - ] - - @classmethod - def _field_value(cls, document: Mapping[str, object], dotted_path: str) -> str | None: - """None means absent, which is what separates a mistyped field from genuinely empty text.""" - head, _, rest = dotted_path.partition(".") - if head not in document: - return None - value: Final = document[head] - if not rest: - return None if value is None else str(value) - return cls._field_value(value, rest) if isinstance(value, Mapping) else None - - @classmethod - def _to_result(cls, document: Mapping[str, object], text_field: str) -> VectorStoreSearchResult: - document_id: Final = document.get("_id") - identifier: Final = None if document_id is None else str(document_id) - content: Final = [ # mutable-ok: VectorStoreSearchResult declares a list of content parts - VectorStoreResultContent(text=cls._field_value(document, text_field) or "", type="text") - ] - raw_score: Final = document.get(SCORE_FIELD_NAME) - return VectorStoreSearchResult( - score=float(raw_score) if isinstance(raw_score, (int, float)) else None, - content=content, - file_id=identifier, - filename=identifier, + vector: Final = embedding_response.data[0]["embedding"] + if not vector or any(not isinstance(value, (float, int)) or not isfinite(value) for value in vector): + raise config_error("The embedding model must return a non-empty, finite query vector.") + limit: Final = cls._limit(optional_params) + return ( + f"{api_base}/v1/vector_stores/{quote(vector_store_id, safe='')}/search", + { # mutable-ok: JSON transport requires a dict + "query": query_text, + "query_vector": tuple(vector), + "mongodb_database": params.require_database(), + "mongodb_collection": params.require_collection(), + "mongodb_embedding_field": params.embedding_field, + "mongodb_text_field": params.text_field, + "mongodb_num_candidates": cls._num_candidates(limit, params.mongodb_num_candidates), + "max_num_results": limit, + "timeout_ms": cls._timeout_ms(timeout), + }, ) - @classmethod - def _raise_for_missing_text_field( - cls, documents: Sequence[Mapping[str, object]], text_field: str, database: str, collection: str - ) -> None: - """$vectorSearch matches documents carrying no text, so a mistyped mongodb_text_field - returns well-scored results with empty content instead of failing.""" - if documents and all(cls._field_value(document, text_field) is None for document in documents): - raise config_error( - f"None of the {len(documents)} matched documents in '{database}.{collection}' has a " - f"'{text_field}' field, so every result would carry empty text. Set mongodb_text_field " - "to the field holding the readable text; it accepts a dotted path such as metadata.body." - ) - - @classmethod - def _to_response( - cls, documents: Sequence[Mapping[str, object]], query_text: str, text_field: str - ) -> VectorStoreSearchResponse: - return VectorStoreSearchResponse( - object="vector_store.search_results.page", - search_query=query_text, - data=[ # mutable-ok: VectorStoreSearchResponse declares data as a list - cls._to_result(document, text_field) for document in documents - ], - ) - - @staticmethod - def _raise_for_unusable_index( - catalogue: Sequence[Mapping[str, object]], index_name: str, database: str, collection: str - ) -> None: - """mongod returns zero documents both for a query that matched nothing and for a missing - database, collection or index, so the catalogue decides which one happened.""" - if not catalogue: - raise missing_index_error(index_name, database, collection) - entry: Final = catalogue[0] - if not entry.get("queryable"): - raise index_not_ready_error(index_name, database, collection, str(entry.get("status") or "unknown")) - - @staticmethod - def _embedding_vector(embedding_response: EmbeddingResponse) -> Sequence[float]: - data: Final = embedding_response.data - if not data: - raise config_error( - "The embedding model returned no embedding for the search query, so there is nothing " - "to search MongoDB with. Check the embedding deployment named by litellm_embedding_model." - ) - return data[0]["embedding"] - - def execute_search_vector_store_request( + def transform_search_vector_store_request( self, vector_store_id: str, query: str | Sequence[str], vector_store_search_optional_params: VectorStoreSearchOptionalRequestParams, + api_base: str, litellm_logging_obj: "LiteLLMLoggingObj", litellm_params: Mapping[str, object], + extra_body: Mapping[str, object] | None = None, embedding_executor: VectorStoreEmbeddingExecutor | None = None, - timeout: float | httpx.Timeout | None = None, - ) -> VectorStoreSearchResponse: - self._reject_unknown_params(litellm_params) - params: Final = _MongoDBSearchParams.model_validate(litellm_params) + ) -> tuple[str, dict[str, object]]: # mutable-ok: the provider contract returns a writable JSON request body + params: Final = self._params(litellm_params, vector_store_search_optional_params, extra_body) query_text: Final = self._query_text(query) - key: Final = self._client_key(params, timeout) - database: Final = params.require_database() - collection: Final = params.require_collection() - - embedding_response: Final = (embedding_executor or self.embedding_executor).embed( - params.require_embedding_model(), + response: Final = (embedding_executor or self.embedding_executor).embed( + params.require_embedding_model(), query_text, params.litellm_embedding_config or _EMPTY_EMBEDDING_CONFIG + ) + return self._request( + vector_store_id, query_text, - params.litellm_embedding_config or _EMPTY_EMBEDDING_CONFIG, - ) - pipeline: Final = self._pipeline( - vector_store_id, self._embedding_vector(embedding_response), params, vector_store_search_optional_params + params, + vector_store_search_optional_params, + api_base, + response, + litellm_params.get("timeout"), ) - try: - client: Final = self.sync_client_factory(key) - target: Final = client[database][collection] # pyright: ignore[reportIndexIssue] # factory is typed as returning object so injected doubles are accepted - documents: Final = tuple(target.aggregate(pipeline)) - except Exception as e: - raise translate_mongo_error(e, index_name=vector_store_id, database=database, collection=collection) from e - if not documents: - try: - catalogue: Final = tuple(target.list_search_indexes(vector_store_id)) - except Exception as e: - raise translate_mongo_error( - e, index_name=vector_store_id, database=database, collection=collection - ) from e - self._raise_for_unusable_index(catalogue, vector_store_id, database, collection) - self._raise_for_missing_text_field(documents, params.text_field, database, collection) - return self._to_response(documents, query_text, params.text_field) - - async def aexecute_search_vector_store_request( + async def atransform_search_vector_store_request( self, vector_store_id: str, query: str | Sequence[str], vector_store_search_optional_params: VectorStoreSearchOptionalRequestParams, + api_base: str, litellm_logging_obj: "LiteLLMLoggingObj", litellm_params: Mapping[str, object], + extra_body: Mapping[str, object] | None = None, embedding_executor: VectorStoreEmbeddingExecutor | None = None, - timeout: float | httpx.Timeout | None = None, - ) -> VectorStoreSearchResponse: - self._reject_unknown_params(litellm_params) - params: Final = _MongoDBSearchParams.model_validate(litellm_params) + ) -> tuple[str, dict[str, object]]: # mutable-ok: the provider contract returns a writable JSON request body + params: Final = self._params(litellm_params, vector_store_search_optional_params, extra_body) query_text: Final = self._query_text(query) - key: Final = self._client_key(params, timeout) - database: Final = params.require_database() - collection: Final = params.require_collection() - - embedding_response: Final = await (embedding_executor or self.embedding_executor).aembed( - params.require_embedding_model(), + response: Final = await (embedding_executor or self.embedding_executor).aembed( + params.require_embedding_model(), query_text, params.litellm_embedding_config or _EMPTY_EMBEDDING_CONFIG + ) + return self._request( + vector_store_id, query_text, - params.litellm_embedding_config or _EMPTY_EMBEDDING_CONFIG, - ) - pipeline: Final = self._pipeline( - vector_store_id, self._embedding_vector(embedding_response), params, vector_store_search_optional_params + params, + vector_store_search_optional_params, + api_base, + response, + litellm_params.get("timeout"), ) + def transform_search_vector_store_response( + self, response: httpx.Response, litellm_logging_obj: "LiteLLMLoggingObj" + ) -> VectorStoreSearchResponse: try: - client: Final = self.async_client_factory(key) - target: Final = client[database][collection] # pyright: ignore[reportIndexIssue] # factory is typed as returning object so injected doubles are accepted - cursor: Final = await target.aggregate(pipeline) - documents: Final = [ # mutable-ok: an async comprehension cannot build a tuple directly - document async for document in cursor - ] - except Exception as e: - raise translate_mongo_error(e, index_name=vector_store_id, database=database, collection=collection) from e - if not documents: - try: - index_cursor: Final = await target.list_search_indexes(vector_store_id) - catalogue: Final = [ # mutable-ok: an async comprehension cannot build a tuple directly - entry async for entry in index_cursor - ] - except Exception as e: - raise translate_mongo_error( - e, index_name=vector_store_id, database=database, collection=collection - ) from e - self._raise_for_unusable_index(catalogue, vector_store_id, database, collection) - self._raise_for_missing_text_field(documents, params.text_field, database, collection) - return self._to_response(documents, query_text, params.text_field) + validated: Final = _SearchResponse.model_validate_json(response.content) + return _RESPONSE_ADAPTER.validate_python(validated.model_dump()) + except ValidationError: + raise ServiceUnavailableError( + message="MongoDB sidecar returned an invalid search response. Check the sidecar version and deployment.", + model=None, + llm_provider="mongodb", + ) from None + + def get_error_class( + self, error_message: str, status_code: int, headers: Mapping[str, object] | httpx.Headers + ) -> BaseLLMException: + if status_code == 400: + raise config_error(error_message) + if status_code == 401: + raise AuthenticationError(message="MongoDB sidecar rejected api_key.", model=None, llm_provider="mongodb") + if status_code == 408: + raise Timeout(message=error_message, model=None, llm_provider="mongodb") + raise ServiceUnavailableError( + message="MongoDB sidecar is unavailable. Check its address, health, and logs.", + model=None, + llm_provider="mongodb", + ) + + def validate_create_vector_store(self) -> NoReturn: + raise config_error(_SEARCH_ONLY_MESSAGE) def transform_create_vector_store_request( - self, - vector_store_create_optional_params: VectorStoreCreateOptionalRequestParams, - api_base: str, + self, vector_store_create_optional_params: VectorStoreCreateOptionalRequestParams, api_base: str ) -> NoReturn: raise config_error(_SEARCH_ONLY_MESSAGE) diff --git a/litellm/llms/ollama/completion/transformation.py b/litellm/llms/ollama/completion/transformation.py index dccc83efed4..a1340ba1952 100644 --- a/litellm/llms/ollama/completion/transformation.py +++ b/litellm/llms/ollama/completion/transformation.py @@ -16,6 +16,10 @@ from litellm.litellm_core_utils.prompt_templates.factory import ( custom_prompt, ollama_pt, ) +from litellm.litellm_core_utils.prompt_templates.image_handling import ( + async_inline_remote_media, + inline_remote_image_urls, +) from litellm.llms.base_llm.base_model_iterator import BaseModelResponseIterator from litellm.llms.base_llm.chat.transformation import BaseConfig, BaseLLMException from litellm.types.llms.openai import AllMessageValues, ChatCompletionUsageBlock @@ -344,6 +348,26 @@ class OllamaConfig(BaseConfig): ) return model_response + @property + def uses_async_transform_request(self) -> bool: + return True + + async def async_transform_request( + self, + model: str, + messages: list[AllMessageValues], # mutable-ok: BaseConfig signature + optional_params: dict[str, object], # mutable-ok: BaseConfig signature + litellm_params: dict[str, object], # mutable-ok: BaseConfig signature + headers: dict[str, object], # mutable-ok: BaseConfig signature + ) -> dict[str, object]: # mutable-ok: BaseConfig signature + return self.transform_request( + model=model, + messages=await async_inline_remote_media(messages, should_inline=inline_remote_image_urls), + optional_params=optional_params, + litellm_params=litellm_params, + headers=headers, + ) + def transform_request( self, model: str, diff --git a/litellm/llms/vertex_ai/vertex_ai_partner_models/anthropic/transformation.py b/litellm/llms/vertex_ai/vertex_ai_partner_models/anthropic/transformation.py index 7579bc8c02e..508f68b3eca 100644 --- a/litellm/llms/vertex_ai/vertex_ai_partner_models/anthropic/transformation.py +++ b/litellm/llms/vertex_ai/vertex_ai_partner_models/anthropic/transformation.py @@ -5,6 +5,7 @@ from typing import TYPE_CHECKING, Final import httpx import litellm +from litellm.litellm_core_utils.prompt_templates.image_handling import RemoteMedia, inline_remote_image_urls from litellm.llms.base_llm.chat.transformation import LiteLLMLoggingObj from litellm.types.llms.openai import AllMessageValues from litellm.types.utils import ModelResponse @@ -51,6 +52,9 @@ class VertexAIAnthropicConfig(AnthropicConfig): def custom_llm_provider(self) -> str | None: return "vertex_ai" + def inlines_remote_media(self, media: RemoteMedia) -> bool: + return inline_remote_image_urls(media) + def should_strip_billing_metadata(self) -> bool: return True diff --git a/litellm/llms/watsonx/chat/transformation.py b/litellm/llms/watsonx/chat/transformation.py index f9e71f9116e..cc616ab5f9f 100644 --- a/litellm/llms/watsonx/chat/transformation.py +++ b/litellm/llms/watsonx/chat/transformation.py @@ -157,11 +157,9 @@ class IBMWatsonXChatConfig(IBMWatsonXMixin, OpenAIGPTConfig): @staticmethod async def aapply_prompt_template(model: str, messages: list[dict[str, str]]) -> str | None: """Apply prompt template (async version)""" - import litellm from litellm.litellm_core_utils.prompt_templates.factory import ( ahf_chat_template, custom_prompt, - hf_chat_template, ibm_granite_pt, mistral_instruct_pt, ) @@ -179,11 +177,7 @@ class IBMWatsonXChatConfig(IBMWatsonXMixin, OpenAIGPTConfig): else: hf_model = model try: - # Use sync if cached, async if not - if hf_model in litellm.known_tokenizer_config: - result = hf_chat_template(model=hf_model, messages=messages) - else: - result = await ahf_chat_template(model=hf_model, messages=messages) + result = await ahf_chat_template(model=hf_model, messages=messages) # Return result if it's truthy (not None and not empty string) # The caller (_aconvert_watsonx_messages_core) will handle None/empty by falling back to default if result: diff --git a/litellm/llms/watsonx/completion/transformation.py b/litellm/llms/watsonx/completion/transformation.py index 0b4c9ae917a..2be007336b4 100644 --- a/litellm/llms/watsonx/completion/transformation.py +++ b/litellm/llms/watsonx/completion/transformation.py @@ -16,6 +16,7 @@ from ..common_utils import ( IBMWatsonXMixin, WatsonXAIError, _get_api_params, + aconvert_watsonx_messages_to_prompt, convert_watsonx_messages_to_prompt, ) @@ -236,7 +237,11 @@ class IBMWatsonXAIConfig(IBMWatsonXMixin, BaseConfig): **watsonx_auth_payload, } - async def atransform_request( + @property + def uses_async_transform_request(self) -> bool: + return True + + async def async_transform_request( self, model: str, messages: list[AllMessageValues], @@ -244,11 +249,6 @@ class IBMWatsonXAIConfig(IBMWatsonXMixin, BaseConfig): litellm_params: dict, headers: dict, ) -> dict: - """Async version of transform_request""" - from litellm.llms.watsonx.common_utils import ( - aconvert_watsonx_messages_to_prompt, - ) - provider: Final = model.split("/")[0] prompt: Final = await aconvert_watsonx_messages_to_prompt( model=model, messages=messages, provider=provider, custom_prompt_dict={} diff --git a/litellm/main.py b/litellm/main.py index 75b7f7f10a5..04b0963851a 100644 --- a/litellm/main.py +++ b/litellm/main.py @@ -6545,7 +6545,7 @@ def embedding( client=client, timeout=timeout, aembedding=aembedding, - litellm_params={}, + litellm_params=litellm_params_dict, api_base=api_base, print_verbose=print_verbose, extra_headers=headers, @@ -7805,6 +7805,7 @@ def transcription( azure_ad_token=azure_ad_token, max_retries=max_retries, litellm_params=litellm_params_dict, + custom_llm_provider=custom_llm_provider, ) elif custom_llm_provider == "openai" or (custom_llm_provider in litellm.openai_compatible_providers): api_base = ( diff --git a/litellm/model_prices_and_context_window_backup.json b/litellm/model_prices_and_context_window_backup.json index b1ffc1583e4..54ebdc85be9 100644 --- a/litellm/model_prices_and_context_window_backup.json +++ b/litellm/model_prices_and_context_window_backup.json @@ -650,7 +650,10 @@ }, "twelvelabs.marengo-embed-2-7-v1:0": { "deprecation_date": "2026-11-30", - "input_cost_per_token": 7e-05, + "input_cost_per_query": 7e-05, + "input_cost_per_video_per_second": 0.0007, + "input_cost_per_audio_per_second": 0.00014, + "input_cost_per_image": 0.0001, "litellm_provider": "bedrock", "max_input_tokens": 77, "max_tokens": 77, @@ -662,7 +665,7 @@ }, "us.twelvelabs.marengo-embed-2-7-v1:0": { "deprecation_date": "2026-11-30", - "input_cost_per_token": 7e-05, + "input_cost_per_query": 7e-05, "input_cost_per_video_per_second": 0.0007, "input_cost_per_audio_per_second": 0.00014, "input_cost_per_image": 0.0001, @@ -677,7 +680,7 @@ }, "eu.twelvelabs.marengo-embed-2-7-v1:0": { "deprecation_date": "2026-11-30", - "input_cost_per_token": 7e-05, + "input_cost_per_query": 7e-05, "input_cost_per_video_per_second": 0.0007, "input_cost_per_audio_per_second": 0.00014, "input_cost_per_image": 0.0001, @@ -690,6 +693,48 @@ "supports_embedding_image_input": true, "supports_image_input": true }, + "twelvelabs.marengo-embed-3-0-v1:0": { + "input_cost_per_query": 7e-05, + "input_cost_per_video_per_second": 0.0007, + "input_cost_per_audio_per_second": 0.00014, + "input_cost_per_image": 0.0001, + "litellm_provider": "bedrock", + "max_input_tokens": 500, + "max_tokens": 500, + "mode": "embedding", + "output_cost_per_token": 0.0, + "output_vector_size": 512, + "supports_embedding_image_input": true, + "supports_image_input": true + }, + "us.twelvelabs.marengo-embed-3-0-v1:0": { + "input_cost_per_query": 7e-05, + "input_cost_per_video_per_second": 0.0007, + "input_cost_per_audio_per_second": 0.00014, + "input_cost_per_image": 0.0001, + "litellm_provider": "bedrock", + "max_input_tokens": 500, + "max_tokens": 500, + "mode": "embedding", + "output_cost_per_token": 0.0, + "output_vector_size": 512, + "supports_embedding_image_input": true, + "supports_image_input": true + }, + "eu.twelvelabs.marengo-embed-3-0-v1:0": { + "input_cost_per_query": 7e-05, + "input_cost_per_video_per_second": 0.0007, + "input_cost_per_audio_per_second": 0.00014, + "input_cost_per_image": 0.0001, + "litellm_provider": "bedrock", + "max_input_tokens": 500, + "max_tokens": 500, + "mode": "embedding", + "output_cost_per_token": 0.0, + "output_vector_size": 512, + "supports_embedding_image_input": true, + "supports_image_input": true + }, "twelvelabs.pegasus-1-2-v1:0": { "input_cost_per_video_per_second": 0.00049, "output_cost_per_token": 7.5e-06, @@ -3581,6 +3626,79 @@ "supports_xhigh_reasoning_effort": true, "supports_minimal_reasoning_effort": false }, + "azure_ai/gpt-chat-latest": { + "cache_read_input_token_cost": 5e-07, + "deprecation_date": "2026-12-02", + "input_cost_per_token": 5e-06, + "litellm_provider": "azure_ai", + "max_input_tokens": 272000, + "max_output_tokens": 128000, + "max_tokens": 128000, + "mode": "chat", + "output_cost_per_token": 3e-05, + "source": "https://azure.microsoft.com/en-us/pricing/details/cognitive-services/openai-service/", + "supported_endpoints": [ + "/v1/chat/completions", + "/v1/responses" + ], + "supported_modalities": [ + "text", + "image" + ], + "supported_output_modalities": [ + "text" + ], + "supports_function_calling": true, + "supports_native_streaming": true, + "supports_parallel_function_calling": true, + "supports_pdf_input": true, + "supports_prompt_caching": true, + "supports_reasoning": true, + "supports_response_schema": true, + "supports_system_messages": true, + "supports_tool_choice": true, + "supports_vision": true, + "supports_web_search": true + }, + "azure_ai/codex-mini": { + "cache_read_input_token_cost": 3.75e-07, + "deprecation_date": "2026-11-15", + "input_cost_per_token": 1.5e-06, + "litellm_provider": "azure_ai", + "max_input_tokens": 200000, + "max_output_tokens": 100000, + "max_tokens": 100000, + "mode": "responses", + "output_cost_per_token": 6e-06, + "source": "https://azure.microsoft.com/en-us/pricing/details/cognitive-services/openai-service/", + "supported_endpoints": [ + "/v1/responses" + ], + "supported_modalities": [ + "text", + "image" + ], + "supported_output_modalities": [ + "text" + ], + "supports_function_calling": true, + "supports_parallel_function_calling": true, + "supports_pdf_input": true, + "supports_prompt_caching": true, + "supports_reasoning": true, + "supports_response_schema": true, + "supports_system_messages": true, + "supports_tool_choice": true, + "supports_vision": true + }, + "azure_ai/whisper": { + "deprecation_date": "2026-12-15", + "input_cost_per_second": 0.0001, + "litellm_provider": "azure_ai", + "mode": "audio_transcription", + "output_cost_per_second": 0.0001, + "source": "https://azure.microsoft.com/en-us/pricing/details/cognitive-services/openai-service/" + }, "azure_ai/gpt-5.5-2026-04-23": { "cache_read_input_token_cost": 5e-07, "cache_read_input_token_cost_above_272k_tokens": 1e-06, @@ -3984,13 +4102,29 @@ "supports_minimal_reasoning_effort": false }, "azure_ai/model_router": { + "deprecation_date": "2027-05-20", "input_cost_per_token": 1.4e-07, "output_cost_per_token": 0, "litellm_provider": "azure_ai", + "max_input_tokens": 200000, + "max_output_tokens": 32768, + "max_tokens": 32768, "mode": "chat", "source": "https://azure.microsoft.com/en-us/pricing/details/ai-foundry-models/aoai/", "comment": "Flat cost of $0.14 per M input tokens for Azure AI Foundry Model Router infrastructure. Use pattern: azure_ai/model_router/ where deployment-name is your Azure deployment (e.g., azure-model-router)" }, + "azure_ai/model-router": { + "deprecation_date": "2027-05-20", + "input_cost_per_token": 1.4e-07, + "output_cost_per_token": 0, + "litellm_provider": "azure_ai", + "max_input_tokens": 200000, + "max_output_tokens": 32768, + "max_tokens": 32768, + "mode": "chat", + "source": "https://azure.microsoft.com/en-us/pricing/details/ai-foundry-models/aoai/", + "comment": "Catalog-name twin of azure_ai/model_router: the flat $0.14 per M input tokens is the router's own fee, the routed model is priced on top of it" + }, "azure/eu/gpt-4o-2024-08-06": { "deprecation_date": "2027-04-14", "cache_read_input_token_cost": 1.375e-06, @@ -10302,6 +10436,18 @@ "/v1/ocr" ] }, + "azure_ai/cohere-command-a": { + "input_cost_per_token": 2.5e-06, + "litellm_provider": "azure_ai", + "max_input_tokens": 131072, + "max_output_tokens": 8182, + "max_tokens": 8182, + "mode": "chat", + "output_cost_per_token": 1e-05, + "source": "https://azure.microsoft.com/en-us/pricing/details/ai-foundry-models/cohere/", + "supports_function_calling": true, + "supports_tool_choice": true + }, "azure_ai/doc-intelligence/prebuilt-read": { "litellm_provider": "azure_ai", "ocr_cost_per_page": 0.0015, @@ -10653,6 +10799,41 @@ "supports_vision": true, "supports_web_search": true }, + "azure_ai/grok-4-20-reasoning": { + "cache_read_input_token_cost": 1.25e-06, + "deprecation_date": "2027-04-06", + "input_cost_per_token": 1.25e-06, + "litellm_provider": "azure_ai", + "max_input_tokens": 262000, + "max_output_tokens": 8192, + "max_tokens": 8192, + "mode": "chat", + "output_cost_per_token": 2.5e-06, + "source": "https://azure.microsoft.com/en-us/pricing/details/ai-foundry-models/grok/", + "supports_function_calling": true, + "supports_response_schema": true, + "supports_tool_choice": true, + "supports_vision": true, + "supports_web_search": true, + "supports_reasoning": true + }, + "azure_ai/grok-4-20-non-reasoning": { + "cache_read_input_token_cost": 1.25e-06, + "deprecation_date": "2027-04-06", + "input_cost_per_token": 1.25e-06, + "litellm_provider": "azure_ai", + "max_input_tokens": 262000, + "max_output_tokens": 8192, + "max_tokens": 8192, + "mode": "chat", + "output_cost_per_token": 2.5e-06, + "source": "https://azure.microsoft.com/en-us/pricing/details/ai-foundry-models/grok/", + "supports_function_calling": true, + "supports_response_schema": true, + "supports_tool_choice": true, + "supports_vision": true, + "supports_web_search": true + }, "azure_ai/grok-4-fast-non-reasoning": { "deprecation_date": "2026-05-01", "input_cost_per_token": 2e-07, diff --git a/litellm/proxy/_experimental/mcp_server/mcp_context.py b/litellm/proxy/_experimental/mcp_server/mcp_context.py index 7936edad753..74cc0c900d9 100644 --- a/litellm/proxy/_experimental/mcp_server/mcp_context.py +++ b/litellm/proxy/_experimental/mcp_server/mcp_context.py @@ -21,3 +21,6 @@ _mcp_gateway_initialize_instructions: Final[ContextVar[str | None]] = ContextVar # Per-request scoped server name; set in MCP HTTP/SSE handlers when the path # identifies exactly one upstream server. Never populated from client-supplied headers. _mcp_gateway_server_name: Final[ContextVar[str | None]] = ContextVar("_mcp_gateway_server_name", default=None) + +# Set server-side by the /mcp/proxy route. Never populated from client-supplied headers. +_mcp_proxy_mode: Final[ContextVar[bool]] = ContextVar("_mcp_proxy_mode", default=False) diff --git a/litellm/proxy/_experimental/mcp_server/rest_endpoints.py b/litellm/proxy/_experimental/mcp_server/rest_endpoints.py index 329dddbdf05..5b74caee3a2 100644 --- a/litellm/proxy/_experimental/mcp_server/rest_endpoints.py +++ b/litellm/proxy/_experimental/mcp_server/rest_endpoints.py @@ -3,12 +3,15 @@ import importlib from collections.abc import Awaitable, Callable, Mapping, Sequence from dataclasses import dataclass from datetime import datetime +from traceback import walk_tb from types import MappingProxyType from typing import TYPE_CHECKING, Any, Final, Literal +from uuid import uuid4 import anyio import httpx from fastapi import APIRouter, Depends, HTTPException, Query, Request, status +from pydantic import ValidationError from starlette.datastructures import Headers from litellm._logging import verbose_logger @@ -30,6 +33,8 @@ from litellm.proxy._experimental.mcp_server.faults.list_outcomes import ( list_fault_http_status, outcome_wire_value, ) +from litellm.proxy._experimental.mcp_server.faults.traversal import iter_exception_tree +from litellm.proxy._experimental.mcp_server.oauth_utils import _redact_mcp_resource_url from litellm.proxy._experimental.mcp_server.ui_session_utils import ( acting_user_auth, build_effective_auth_contexts, @@ -78,11 +83,39 @@ _MCP_GUARDRAIL_REJECTIONS: Final = ( def _connection_error_message(exc: BaseException, url: str | None, timeout_seconds: float) -> str: + reference: Final = uuid4().hex + verbose_logger.error( + "MCP connection test failed (reference=%s): %s", + reference, + tuple( + ( + type(cause).__name__, + tuple( + (frame.f_code.co_filename, lineno, frame.f_code.co_name) + for frame, lineno in walk_tb(cause.__traceback__) + ), + ) + for cause in iter_exception_tree(exc) + ), + ) + return next( + ( + message + for cause in iter_exception_tree(exc) + if (message := _known_connection_error_message(cause, url, timeout_seconds)) is not None + ), + "An unexpected error occurred while testing the MCP connection. " + f"Retry; if it persists, share reference {reference} with your gateway administrator.", + ) + + +def _known_connection_error_message(exc: BaseException, url: str | None, timeout_seconds: float) -> str | None: if isinstance(exc, MCPServerURLCredentialsError): return str(exc.detail) if isinstance(exc, TimeoutError): return ( - f"Failed to connect to MCP server: no response from {url or 'the server'} " + "Failed to connect to MCP server: no valid MCP response received from " + f"{_redact_mcp_resource_url(url) or 'the server'} " f"within {timeout_seconds:.0f}s. Check that the LiteLLM proxy can reach this URL " "from its network (DNS, egress rules, firewalls) and that the server answers MCP requests." ) @@ -99,13 +132,45 @@ def _connection_error_message(exc: BaseException, url: str | None, timeout_secon return "Failed to connect to MCP server: the connection timed out." if isinstance(exc, httpx.HTTPStatusError): return f"Failed to connect to MCP server: it returned HTTP {exc.response.status_code}." - return "Failed to connect to MCP server. Check proxy logs for details." + if isinstance(exc, (httpx.NetworkError, httpx.RemoteProtocolError, ConnectionError)): + return ( + "Failed to connect to MCP server: the connection was interrupted. " + "Check the server and network connection, then retry." + ) + if isinstance(exc, ValueError) and str(exc).startswith("Unexpected content type:"): + return ( + "Failed to connect to MCP server: the endpoint returned an unsupported content type. " + "Check that the URL is an MCP endpoint, not a web page, and matches the selected transport." + ) + if isinstance(exc, ValidationError) and exc.title in ("JSONRPCMessage", "InitializeResult", "ListToolsResult"): + return ( + "Failed to connect to MCP server: the endpoint returned invalid JSON or an invalid MCP response. " + "Check the MCP endpoint URL and the server's protocol implementation." + ) + if MCP_AVAILABLE and isinstance(exc, McpError): + if exc.error.code == -32000 and exc.error.message == "Connection closed": + return ( + "Failed to connect to MCP server: the connection was closed before the request completed. " + "Check that the server stays running and returns a complete MCP response, then retry." + ) + if exc.error.code == 32600 and exc.error.message == "Session terminated": + return ( + "Failed to connect to MCP server: the MCP session was terminated. " + "Check that the URL points to an MCP endpoint and matches the selected transport, " + "then retry to start a new session." + ) + return ( + f"Failed to connect to MCP server: the MCP request failed (JSON-RPC code {exc.error.code}). " + "Check that the endpoint supports MCP initialization and tool listing, and check the upstream server logs." + ) + return None if MCP_AVAILABLE: + from mcp.shared.exceptions import McpError from mcp.types import Tool as MCPTool - from litellm.experimental_mcp_client.client import MCPClient + from litellm.experimental_mcp_client.client import MCPClient, as_mcp_read_timeout from litellm.llms.litellm_proxy.skills.skill_search import ( DEFAULT_SKILL_SEARCH_TOP_K, ) @@ -1342,11 +1407,18 @@ if MCP_AVAILABLE: except (KeyboardInterrupt, SystemExit, asyncio.CancelledError): raise except BaseException as e: - verbose_logger.error("Error in MCP operation: %s", e, exc_info=True) + effective_timeout: Final = ( + min(request.timeout if request.timeout is not None else MCP_CLIENT_TIMEOUT, timeout_seconds) + if any( + isinstance(cause, McpError) and as_mcp_read_timeout(cause) is not None + for cause in iter_exception_tree(e) + ) + else timeout_seconds + ) return { "status": "error", "error": True, - "message": _connection_error_message(e, request.url, timeout_seconds), + "message": _connection_error_message(e, request.url, effective_timeout), } async def _preview_openapi_tools(spec_path: str) -> dict: diff --git a/litellm/proxy/_experimental/mcp_server/server.py b/litellm/proxy/_experimental/mcp_server/server.py index a44a041fdff..f8f1c563811 100644 --- a/litellm/proxy/_experimental/mcp_server/server.py +++ b/litellm/proxy/_experimental/mcp_server/server.py @@ -15,11 +15,11 @@ import types import uuid from collections.abc import AsyncIterator, Callable, Mapping, Sequence from datetime import datetime -from typing import TYPE_CHECKING, Any, Final, Protocol +from typing import TYPE_CHECKING, Any, Final, NoReturn, Protocol import httpx from fastapi import FastAPI, HTTPException -from pydantic import AnyUrl, ConfigDict +from pydantic import AnyUrl, ConfigDict, TypeAdapter, ValidationError from starlette.requests import Request as StarletteRequest from starlette.responses import JSONResponse from starlette.types import Message, Receive, Scope, Send @@ -47,6 +47,7 @@ from litellm.proxy._experimental.mcp_server.mcp_context import ( _mcp_active_toolset_id, _mcp_gateway_initialize_instructions, _mcp_gateway_server_name, + _mcp_proxy_mode, # pyright: ignore[reportPrivateUsage] # server-owned request mode ) from litellm.proxy._experimental.mcp_server.mcp_debug import MCPDebug from litellm.proxy._experimental.mcp_server.oauth_utils import ( @@ -108,9 +109,9 @@ _MAX_STATEFUL_SESSIONS_PER_OWNER: Final = 100 # prevents an authenticated client from forcing the proxy to buffer an # arbitrarily large body just to make a routing decision. _MCP_ROUTING_PEEK_MAX_BYTES: Final = 4096 -# ASGI scope key holding the tracing span of the request carrying an MCP -# message, written on the request task and read back by the message handler. +# ASGI scope keys carrying OTel request state into a stateful MCP message handler. _MCP_TRANSPORT_SPAN_SCOPE_KEY: Final = "litellm_otel_transport_span" +_MCP_DESTINATIONS_SCOPE_KEY: Final = "litellm_otel_request_destinations" def _invalidate_byok_cred_cache(user_id: str, server_id: str) -> None: @@ -328,18 +329,17 @@ def _otel_publish_transport_span_on_scope(scope: Scope) -> None: scope[_MCP_TRANSPORT_SPAN_SCOPE_KEY] = span -def _otel_transport_span_from_message(req_ctx: object) -> object: - """The tracing span of the HTTP request that carried this MCP message. - - Read off that request's ASGI scope, reached through the ``Request`` the - streamable-HTTP transport attaches to each message, so it is this message's - transport and not whichever request happens to have touched the session last. - Returns whatever the scope holds; the otel plumbing validates it.""" +def _otel_value_from_message_scope(req_ctx: object, key: str) -> object: request: Final = getattr(req_ctx, "request", None) scope: Final = getattr(request, "scope", None) if not isinstance(scope, Mapping): return None - return scope.get(_MCP_TRANSPORT_SPAN_SCOPE_KEY) + return scope.get(key) + + +def _otel_transport_span_from_message(req_ctx: object) -> object: + """The tracing span of the HTTP request that carried this MCP message.""" + return _otel_value_from_message_scope(req_ctx, _MCP_TRANSPORT_SPAN_SCOPE_KEY) def _otel_set_mcp_transport_span(span: object) -> object: @@ -372,6 +372,44 @@ def _otel_reset_mcp_transport_span(token: object) -> None: return +def _otel_publish_request_destinations_on_scope(scope: Scope) -> None: + try: + from litellm.integrations.otel.plumbing.context import request_destinations + + scope[_MCP_DESTINATIONS_SCOPE_KEY] = request_destinations() + except ImportError: + return + + +def _otel_set_mcp_request_destinations(req_ctx: object) -> object: + destinations: Final = _otel_value_from_message_scope(req_ctx, _MCP_DESTINATIONS_SCOPE_KEY) + if not isinstance(destinations, tuple): + return None + try: + from litellm.integrations.otel.model.destination import OtelDestination + from litellm.integrations.otel.plumbing.context import set_request_destinations + + destination_adapter: Final[TypeAdapter[tuple[OtelDestination, ...]]] = TypeAdapter( + tuple[OtelDestination, ...], + config=ConfigDict(revalidate_instances="always"), + ) + validated_destinations: Final = destination_adapter.validate_python(destinations, strict=True) + return set_request_destinations(validated_destinations) + except (ImportError, ValidationError): + return None + + +def _otel_reset_mcp_request_destinations(token: object) -> None: + if token is None: + return + try: + from litellm.integrations.otel.plumbing.context import reset_request_destinations + + reset_request_destinations(token) + except ImportError: + return + + def _proxy_exception_to_http_exception(exc: ProxyException) -> HTTPException: """Map a ``ProxyException`` to an ``HTTPException`` that preserves its real status code and headers. @@ -500,11 +538,22 @@ if MCP_AVAILABLE: notification_options: NotificationOptions | None = None, experimental_capabilities: dict[str, dict[str, object]] | None = None, ) -> InitializationOptions: - opts: Final = Server.create_initialization_options( + base_options: Final = Server.create_initialization_options( self, notification_options=notification_options, experimental_capabilities=experimental_capabilities or {}, ) + opts: Final = ( + base_options.model_copy( + update={ # mutable-ok: Pydantic update payload + "capabilities": base_options.capabilities.model_copy( + update={"prompts": None, "resources": None} # mutable-ok: Pydantic update payload + ) + } + ) + if _mcp_proxy_mode.get() + else base_options + ) updates: Final[dict[str, str]] = {} merged: Final = _mcp_gateway_initialize_instructions.get() if merged is not None: @@ -718,12 +767,12 @@ if MCP_AVAILABLE: _stateful_auth_context_cleanup_task.cancel() with contextlib.suppress(asyncio.CancelledError): await _stateful_auth_context_cleanup_task - if _session_manager_cm: - await _session_manager_cm.__aexit__(None, None, None) - if _session_manager_stateful_cm: - await _session_manager_stateful_cm.__aexit__(None, None, None) if _sse_session_manager_cm: await _sse_session_manager_cm.__aexit__(None, None, None) + if _session_manager_stateful_cm: + await _session_manager_stateful_cm.__aexit__(None, None, None) + if _session_manager_cm: + await _session_manager_cm.__aexit__(None, None, None) except Exception as e: verbose_logger.exception("Error during session manager shutdown: %s", e) @@ -763,10 +812,12 @@ if MCP_AVAILABLE: _session_reset_token = active_mcp_session_var.set(req_ctx.session) _trace_token = None _transport_token = None + _destinations_token = None try: _trace_token = _otel_set_mcp_trace_carrier(_mcp_meta_trace_carrier(req_ctx)) _transport_token = _otel_set_mcp_transport_span(_otel_transport_span_from_message(req_ctx)) + _destinations_token = _otel_set_mcp_request_destinations(req_ctx) # Get user authentication from context variable ( user_api_key_auth, @@ -783,17 +834,20 @@ if MCP_AVAILABLE: "MCP list_tools - MCP server auth headers: %s", list(mcp_server_auth_headers.keys()) if mcp_server_auth_headers else None, ) + from mcp.types import Tool + + from litellm.proxy._experimental.mcp_server.tool_search import ( + get_mcp_proxy_tool_definitions, + get_virtual_tool_definitions, + ) + + if _mcp_proxy_mode.get(): + return [Tool.model_validate(d) for d in get_mcp_proxy_tool_definitions()] # mutable-ok: MCP SDK list if getattr( getattr(user_api_key_auth, "object_permission", None), "mcp_tool_search_enabled", False, ): - from mcp.types import Tool - - from litellm.proxy._experimental.mcp_server.tool_search import ( - get_virtual_tool_definitions, - ) - return [Tool.model_validate(d) for d in get_virtual_tool_definitions()] # Get mcp_servers from context variable @@ -828,6 +882,7 @@ if MCP_AVAILABLE: # This prevents the HTTP stream from failing and allows the client to get a response return [] finally: + _otel_reset_mcp_request_destinations(_destinations_token) _otel_reset_mcp_transport_span(_transport_token) _otel_reset_mcp_trace_carrier(_trace_token) if _session_reset_token is not None: @@ -866,6 +921,12 @@ if MCP_AVAILABLE: verbose_logger.debug("Host progressToken captured: %s...", str(host_token)[:8]) return forward_progress + def _reject_mcp_proxy_operation() -> NoReturn: + from mcp.shared.exceptions import McpError + from mcp.types import METHOD_NOT_FOUND, ErrorData + + raise McpError(ErrorData(code=METHOD_NOT_FOUND, message="Operation unavailable on /mcp/proxy")) + async def _build_virtual_call_logging_obj( name: str, arguments: dict[str, object], @@ -921,16 +982,91 @@ if MCP_AVAILABLE: from litellm.proxy._experimental.mcp_server.tool_search import ( AGENT_SEARCH_TOOL_NAME, DEFAULT_AGENT_SEARCH_TOP_K, + MCP_PROXY_CALL_TOOL_NAME, + MCP_PROXY_TOOL_NAMES, MCP_TOOL_SEARCH_TOOL_NAME, SKILL_SEARCH_TOOL_NAME, VIRTUAL_TOOL_NAMES, coerce_top_k, handle_agent_search, + handle_mcp_proxy_tool, handle_mcp_tool_call, handle_mcp_tool_search, handle_skill_search, ) + if _mcp_proxy_mode.get() and name not in MCP_PROXY_TOOL_NAMES: + return CallToolResult( + content=[ # mutable-ok: MCP result content + TextContent(type="text", text=f"Tool {name} is unavailable on /mcp/proxy") + ], + isError=True, + ) + + if _mcp_proxy_mode.get() and name in MCP_PROXY_TOOL_NAMES: + assert user_api_key_auth is not None + proxy_call_start: Final = datetime.now() # noqa: DTZ005 # logging pipeline uses naive datetimes + proxy_logging_obj: Final = ( + await _build_virtual_call_logging_obj( + name=name, + arguments=arguments or {}, # mutable-ok: logging pipeline payload + user_api_key_auth=user_api_key_auth, + raw_headers=raw_headers, + client_ip=client_ip, + ) + if name == MCP_PROXY_CALL_TOOL_NAME + else None + ) + try: + proxy_result: Final = await handle_mcp_proxy_tool( + name=name, + arguments=arguments or {}, # mutable-ok: proxy handler payload + user_api_key_dict=user_api_key_auth, + client_ip=client_ip, + mcp_servers=mcp_servers, + mcp_auth_header=mcp_auth_header, + mcp_server_auth_headers=mcp_server_auth_headers, + oauth2_headers=oauth2_headers, + raw_headers=raw_headers, + litellm_logging_obj=proxy_logging_obj, + ) + except Exception as exc: + if proxy_logging_obj is not None: + from litellm.proxy.proxy_server import proxy_logging_obj as request_logging_obj + + failure_end: Final = datetime.now() # noqa: DTZ005 # matches the logging pipeline start time + failure_traceback: Final = traceback.format_exc(limit=MAXIMUM_TRACEBACK_LINES_TO_LOG) + try: + proxy_logging_obj.failure_handler(exc, failure_traceback, proxy_call_start, failure_end) + await proxy_logging_obj.async_failure_handler( + exc, failure_traceback, proxy_call_start, failure_end + ) + if not isinstance(exc, MCPUpstreamAuthError): + await request_logging_obj.post_call_failure_hook( + request_data={ # mutable-ok: failure hook mutates its request payload + "name": name, + "arguments": arguments, + "litellm_logging_obj": proxy_logging_obj, + }, + original_exception=exc, + user_api_key_dict=user_api_key_auth, + route="/mcp/call_tool", + traceback_str=failure_traceback, + ) + except Exception: # noqa: BLE001 # a failing failure hook must not mask the tool call's own error + verbose_logger.exception("Error logging failed MCP proxy tool call") + raise + if proxy_logging_obj is not None: + return await _fire_mcp_tool_call_logging( + logging_obj=proxy_logging_obj, + result=proxy_result, + start_time=proxy_call_start, + end_time=datetime.now(), # noqa: DTZ005 # matches the logging pipeline start time + user_api_key_auth=user_api_key_auth, + request_data=types.MappingProxyType({"name": name, "arguments": arguments}), + ) + return proxy_result + if name not in VIRTUAL_TOOL_NAMES: return None @@ -1021,10 +1157,12 @@ if MCP_AVAILABLE: _session_reset_token = active_mcp_session_var.set(req_ctx.session) _trace_token = None _transport_token = None + _destinations_token = None try: _trace_token = _otel_set_mcp_trace_carrier(_mcp_meta_trace_carrier(req_ctx)) _transport_token = _otel_set_mcp_transport_span(_otel_transport_span_from_message(req_ctx)) + _destinations_token = _otel_set_mcp_request_destinations(req_ctx) # Validate arguments ( user_api_key_auth, @@ -1163,6 +1301,7 @@ if MCP_AVAILABLE: return response finally: + _otel_reset_mcp_request_destinations(_destinations_token) _otel_reset_mcp_transport_span(_transport_token) _otel_reset_mcp_trace_carrier(_trace_token) if _session_reset_token is not None: @@ -1173,6 +1312,8 @@ if MCP_AVAILABLE: """ List all available prompts """ + if _mcp_proxy_mode.get(): + _reject_mcp_proxy_operation() from mcp.server.lowlevel.server import request_ctx req_ctx: Final = request_ctx.get(None) @@ -1230,8 +1371,8 @@ if MCP_AVAILABLE: Returns: GetPromptResult: Getting prompt execution results """ - - # Validate arguments + if _mcp_proxy_mode.get(): + _reject_mcp_proxy_operation() from mcp.server.lowlevel.server import request_ctx req_ctx: Final = request_ctx.get(None) @@ -1268,6 +1409,8 @@ if MCP_AVAILABLE: @server.list_resources() async def list_resources() -> list[Resource]: """List all available resources.""" + if _mcp_proxy_mode.get(): + _reject_mcp_proxy_operation() from mcp.server.lowlevel.server import request_ctx req_ctx: Final = request_ctx.get(None) @@ -1312,6 +1455,8 @@ if MCP_AVAILABLE: @server.list_resource_templates() async def list_resource_templates() -> list[ResourceTemplate]: """List all available resource templates.""" + if _mcp_proxy_mode.get(): + _reject_mcp_proxy_operation() from mcp.server.lowlevel.server import request_ctx req_ctx: Final = request_ctx.get(None) @@ -1357,6 +1502,8 @@ if MCP_AVAILABLE: @server.read_resource() async def read_resource(url: AnyUrl) -> list[ReadResourceContents]: + if _mcp_proxy_mode.get(): + _reject_mcp_proxy_operation() from mcp.server.lowlevel.server import request_ctx req_ctx: Final = request_ctx.get(None) @@ -1955,6 +2102,7 @@ if MCP_AVAILABLE: litellm_trace_id: str | None = None, request_tags: list[str] | None = None, client_ip: str | None = None, + mcp_proxy_mode: bool = False, ) -> AggregateToolListing: """ Helper method to fetch tools from MCP servers based on server filtering criteria. @@ -2134,9 +2282,14 @@ if MCP_AVAILABLE: user_api_key_auth=user_api_key_auth, ) - # Apply display-name/description overrides last so that - # permission filtering always works against original names. - filtered_tools = apply_tool_overrides(filtered_tools, server) + if mcp_proxy_mode: + from litellm.proxy._experimental.mcp_server.tool_search import with_mcp_proxy_identity + + filtered_tools = [ # mutable-ok: MCP tool pipeline + with_mcp_proxy_identity(tool, server.server_id) for tool in filtered_tools + ] + else: + filtered_tools = apply_tool_overrides(filtered_tools, server) verbose_logger.debug( "Successfully fetched %s tools from server %s, %s after filtering", @@ -2448,6 +2601,7 @@ if MCP_AVAILABLE: log_list_tools_to_spendlogs: bool = False, list_tools_log_source: str | None = None, client_ip: str | None = None, + mcp_proxy_mode: bool = False, ) -> AggregateToolListing: """ List all available MCP tools. @@ -2477,6 +2631,7 @@ if MCP_AVAILABLE: log_list_tools_to_spendlogs=log_list_tools_to_spendlogs, list_tools_log_source=list_tools_log_source, client_ip=client_ip, + mcp_proxy_mode=mcp_proxy_mode, ) verbose_logger.debug("Successfully fetched %s tools from managed MCP servers", len(listing.tools)) return listing @@ -3376,7 +3531,9 @@ if MCP_AVAILABLE: server_name: str | None, session_id: str | None = None, ) -> StandardLoggingMCPToolCall: - mcp_server: Final = global_mcp_server_manager._get_mcp_server_from_tool_name(name) + mcp_server: Final = global_mcp_server_manager._get_mcp_server_from_tool_name( + add_server_prefix_to_name(name, server_name) if server_name else name + ) namespaced_tool_name: Final = f"{server_name}/{name}" if server_name else name if mcp_server: mcp_info: Final = mcp_server.mcp_info or {} @@ -4493,6 +4650,7 @@ if MCP_AVAILABLE: async def _dispatch() -> None: _otel_publish_transport_span_on_scope(scope) + _otel_publish_request_destinations_on_scope(scope) auth_user: Final = _set_or_update_auth_context( user_api_key_auth=user_api_key_auth, mcp_auth_header=mcp_auth_header, diff --git a/litellm/proxy/_experimental/mcp_server/tool_search.py b/litellm/proxy/_experimental/mcp_server/tool_search.py index 24e2f5ce64d..2c73f9b863b 100644 --- a/litellm/proxy/_experimental/mcp_server/tool_search.py +++ b/litellm/proxy/_experimental/mcp_server/tool_search.py @@ -1,5 +1,6 @@ from __future__ import annotations +import hashlib import json from collections.abc import Mapping, Sequence from dataclasses import dataclass @@ -30,6 +31,12 @@ if TYPE_CHECKING: MCP_TOOL_SEARCH_SETTINGS_KEY: Final[str] = "mcp_tool_search" MCP_TOOL_SEARCH_TOOL_NAME: Final[str] = "mcp_tool_search" MCP_TOOL_CALL_TOOL_NAME: Final[str] = "mcp_tool_call" +MCP_PROXY_SEARCH_TOOL_NAME: Final[str] = "search_tools" +MCP_PROXY_SCHEMA_TOOL_NAME: Final[str] = "get_tool_schema" +MCP_PROXY_CALL_TOOL_NAME: Final[str] = "call_tool" +MCP_PROXY_TOOL_NAMES: Final = frozenset( + (MCP_PROXY_SEARCH_TOOL_NAME, MCP_PROXY_SCHEMA_TOOL_NAME, MCP_PROXY_CALL_TOOL_NAME) +) AGENT_SEARCH_TOOL_NAME: Final[str] = "agent_search" SKILL_SEARCH_TOOL_NAME: Final[str] = "skill_search" VIRTUAL_TOOL_NAMES: Final = frozenset( @@ -51,6 +58,29 @@ class ToolSearchResult(TypedDict, total=False): score: ReadOnly[float] +class MCPProxySearchResult(TypedDict, total=False): + tool_id: Required[ReadOnly[str]] + name: Required[ReadOnly[str]] + description: Required[ReadOnly[str]] + score: ReadOnly[float] + + +class MCPProxySchemaResult(MCPProxySearchResult, total=False): + inputSchema: Required[ReadOnly[Mapping[str, object]]] + outputSchema: ReadOnly[Mapping[str, object]] + + +class MCPProxyToolIdentity(TypedDict): + server_id: ReadOnly[str] + tool_name: ReadOnly[str] + + +@dataclass(frozen=True, slots=True) +class MCPToolSearchHit: + tool: Tool + score: float | None = None + + @dataclass(frozen=True, slots=True) class SemanticToolRanker: embed: Embedder @@ -76,6 +106,55 @@ def _scored_result(tool: Tool, score: float) -> ToolSearchResult: return {"name": tool.name, "description": tool.description or "", "inputSchema": tool.inputSchema, "score": score} +_MCP_PROXY_IDENTITY_META_KEY: Final[str] = "litellm.ai/proxy_tool_identity" + + +def with_mcp_proxy_identity(tool: Tool, server_id: str) -> Tool: + identity: Final[MCPProxyToolIdentity] = {"server_id": server_id, "tool_name": tool.name} + return tool.model_copy( # mutable-ok: Pydantic requires mutable update and metadata mappings + update={ # mutable-ok: Pydantic update payload + "meta": {**(tool.meta or {}), _MCP_PROXY_IDENTITY_META_KEY: identity} # mutable-ok: metadata mapping + } + ) + + +def _mcp_proxy_identity(tool: Tool) -> MCPProxyToolIdentity: + identity: Final = (tool.meta or {}).get(_MCP_PROXY_IDENTITY_META_KEY) # mutable-ok: absent metadata default + if not isinstance(identity, Mapping): + raise TypeError("MCP proxy tool identity is missing") + server_id: Final = identity.get("server_id") + tool_name: Final = identity.get("tool_name") + if not isinstance(server_id, str) or not isinstance(tool_name, str): + raise TypeError("MCP proxy tool identity is invalid") + return {"server_id": server_id, "tool_name": tool_name} # mutable-ok: TypedDict identity payload + + +def mcp_proxy_tool_id(tool: Tool) -> str: + identity: Final = _mcp_proxy_identity(tool) + return hashlib.sha256(f"{identity['server_id']}\0{identity['tool_name']}".encode()).hexdigest()[:32] + + +def _proxy_search_result(hit: MCPToolSearchHit) -> MCPProxySearchResult: + base: Final[MCPProxySearchResult] = { + "tool_id": mcp_proxy_tool_id(hit.tool), + "name": hit.tool.name, + "description": hit.tool.description or "", + } + return {**base, "score": hit.score} if hit.score is not None else base # mutable-ok: wire result payload + + +def _proxy_schema_result(tool: Tool) -> MCPProxySchemaResult: + base: Final[MCPProxySchemaResult] = { + "tool_id": mcp_proxy_tool_id(tool), + "name": tool.name, + "description": tool.description or "", + "inputSchema": tool.inputSchema, + } + if tool.outputSchema is None: + return base + return {**base, "outputSchema": tool.outputSchema} # mutable-ok: wire schema payload + + def _tool_text(tool: Tool) -> str: return "\n".join(part for part in (tool.name, tool.description or "") if part) @@ -107,6 +186,38 @@ def search_tools(query: str, tools: Sequence[Tool], top_k: int = 5) -> tuple[Too return tuple(_tool_result(tool) for _, tool in _top_hits(tools, scores, minimum=1.0, limit=top_k)) +async def rank_mcp_tools( + query: str, + tools: Sequence[Tool], + top_k: int, + settings: MCPToolSearchSettings, + ranker: SemanticToolRanker | None, +) -> tuple[MCPToolSearchHit, ...] | EmbeddingFailed: + core, rest = _split_core_tools(tools, settings.core_tools) + core_hits: Final = tuple(MCPToolSearchHit(tool) for tool in core) + if not query: + return core_hits + limit: Final = min(top_k, settings.top_k) + if ranker is None: + scores: Final = tuple(_keyword_score(query, tool) for tool in rest) + return ( + *core_hits, + *(MCPToolSearchHit(tool) for _, tool in _top_hits(rest, scores, minimum=1.0, limit=limit)), + ) + semantic_scores: Final = await ranker.index.scores( + query, tuple(_tool_text(tool) for tool in rest), ranker.embed, ranker.embedding_model + ) + if isinstance(semantic_scores, EmbeddingFailed): + return semantic_scores + return ( + *core_hits, + *( + MCPToolSearchHit(tool, score) + for score, tool in _top_hits(rest, semantic_scores, settings.similarity_threshold, limit) + ), + ) + + async def search_mcp_tools( query: str, tools: Sequence[Tool], @@ -114,21 +225,12 @@ async def search_mcp_tools( settings: MCPToolSearchSettings, ranker: SemanticToolRanker | None, ) -> tuple[ToolSearchResult, ...] | EmbeddingFailed: - """Core tools the caller can access come first, then up to `top_k` ranked matches from the remaining tools.""" - core, rest = _split_core_tools(tools, settings.core_tools) - limit: Final = min(top_k, settings.top_k) - core_results: Final = tuple(_tool_result(tool) for tool in core) - if ranker is None: - return (*core_results, *search_tools(query, rest, limit)) - if not query: - return core_results - scores: Final = await ranker.index.scores( - query, tuple(_tool_text(tool) for tool in rest), ranker.embed, ranker.embedding_model + hits: Final = await rank_mcp_tools(query, tools, top_k, settings, ranker) + if isinstance(hits, EmbeddingFailed): + return hits + return tuple( + _scored_result(hit.tool, hit.score) if hit.score is not None else _tool_result(hit.tool) for hit in hits ) - if isinstance(scores, EmbeddingFailed): - return scores - hits: Final = _top_hits(rest, scores, minimum=settings.similarity_threshold, limit=limit) - return (*core_results, *(_scored_result(tool, score) for score, tool in hits)) class _ToolParamSchema(TypedDict, total=False): @@ -223,10 +325,48 @@ _SKILL_SEARCH_DEFINITION: Final[VirtualToolDefinition] = { } +_MCP_PROXY_SEARCH_DEFINITION: Final[VirtualToolDefinition] = { + "name": MCP_PROXY_SEARCH_TOOL_NAME, + "description": "Search accessible MCP tools by describing what you need. Returns opaque tool IDs.", + "inputSchema": { + "type": "object", + "properties": {"query": {"type": "string", "description": "What the tool should do."}}, + "required": _json_array("query"), + }, +} + +_MCP_PROXY_SCHEMA_DEFINITION: Final[VirtualToolDefinition] = { + "name": MCP_PROXY_SCHEMA_TOOL_NAME, + "description": "Return the complete schema for an accessible MCP tool ID.", + "inputSchema": { + "type": "object", + "properties": {"tool_id": {"type": "string", "description": "Opaque ID from search_tools."}}, + "required": _json_array("tool_id"), + }, +} + +_MCP_PROXY_CALL_DEFINITION: Final[VirtualToolDefinition] = { + "name": MCP_PROXY_CALL_TOOL_NAME, + "description": "Call an accessible MCP tool by opaque ID with schema-valid arguments.", + "inputSchema": { + "type": "object", + "properties": { + "tool_id": {"type": "string", "description": "Opaque ID from search_tools."}, + "arguments": {"type": "object", "description": "Arguments validated against the selected tool schema."}, + }, + "required": _json_array("tool_id"), + }, +} + + def get_virtual_tool_definitions() -> tuple[VirtualToolDefinition, ...]: return (_MCP_TOOL_SEARCH_DEFINITION, _MCP_TOOL_CALL_DEFINITION, _AGENT_SEARCH_DEFINITION, _SKILL_SEARCH_DEFINITION) +def get_mcp_proxy_tool_definitions() -> tuple[VirtualToolDefinition, ...]: + return (_MCP_PROXY_SEARCH_DEFINITION, _MCP_PROXY_SCHEMA_DEFINITION, _MCP_PROXY_CALL_DEFINITION) + + def _text_tool_result(text: str, is_error: bool) -> CallToolResult: from mcp.types import CallToolResult, TextContent @@ -314,7 +454,9 @@ async def handle_mcp_tool_search( oauth2_headers: dict[str, str] | None = None, raw_headers: dict[str, str] | None = None, ) -> CallToolResult: - from litellm.proxy._experimental.mcp_server.server import _list_mcp_tools + from litellm.proxy._experimental.mcp_server.server import ( + _list_mcp_tools, # pyright: ignore[reportPrivateUsage] # shared catalog owner + ) from litellm.proxy.proxy_server import llm_router, proxy_logging_obj settings: Final = mcp_tool_search_settings() @@ -351,6 +493,97 @@ async def handle_mcp_tool_search( return _text_tool_result(json.dumps(results), is_error=False) +async def handle_mcp_proxy_tool( + name: str, + arguments: dict[str, object], # mutable-ok: MCP dispatcher passes mutable call arguments + user_api_key_dict: UserAPIKeyAuth, + client_ip: str | None = None, + mcp_servers: list[str] | None = None, # mutable-ok: preserve MCP scope container for existing resolver + mcp_auth_header: str | None = None, + mcp_server_auth_headers: dict[str, dict[str, str]] | None = None, # mutable-ok: preserve forwarded headers + oauth2_headers: dict[str, str] | None = None, # mutable-ok: preserve forwarded headers + raw_headers: dict[str, str] | None = None, # mutable-ok: preserve request headers + litellm_logging_obj: LiteLLMLoggingObj | None = None, +) -> CallToolResult: + from fastapi import HTTPException + from jsonschema import ValidationError as JsonSchemaValidationError + from jsonschema import validate + + from litellm.proxy import proxy_server + from litellm.proxy._experimental.mcp_server.server import ( # pyright: ignore[reportPrivateUsage] # shared catalog owner + _list_mcp_tools, # pyright: ignore[reportPrivateUsage] # shared catalog owner + ) + + listing: Final = await _list_mcp_tools( + user_api_key_auth=user_api_key_dict, + mcp_servers=mcp_servers, + client_ip=client_ip, + mcp_auth_header=mcp_auth_header, + mcp_server_auth_headers=mcp_server_auth_headers, + oauth2_headers=oauth2_headers, + raw_headers=raw_headers, + mcp_proxy_mode=True, + ) + tools_by_id: Final = {mcp_proxy_tool_id(tool): tool for tool in listing.tools} # mutable-ok: lookup index + + if name == MCP_PROXY_SEARCH_TOOL_NAME: + llm_router: Final = proxy_server.llm_router + proxy_logging_obj: Final = proxy_server.proxy_logging_obj + settings: Final = mcp_tool_search_settings() + if isinstance(settings, ValidationError): + return _text_tool_result(str(settings), is_error=True) + if settings.embedding_model is not None and llm_router is None: + return _text_tool_result( + f"litellm_settings.{MCP_TOOL_SEARCH_SETTINGS_KEY}.embedding_model needs a model_list so it can be called", + is_error=True, + ) + ranker: Final = ( + SemanticToolRanker( + embed=router_embedder(llm_router, settings.embedding_model, user_api_key_dict, proxy_logging_obj), + embedding_model=settings.embedding_model, + index=global_mcp_tool_search_index, + ) + if settings.embedding_model is not None and llm_router is not None + else None + ) + results: Final = await rank_mcp_tools(str(arguments.get("query", "")), listing.tools, 5, settings, ranker) + if isinstance(results, EmbeddingFailed): + return _text_tool_result(results.reason, is_error=True) + return _text_tool_result(json.dumps(tuple(_proxy_search_result(hit) for hit in results)), is_error=False) + + tool_id: Final = arguments.get("tool_id") + tool: Final = tools_by_id.get(tool_id) if isinstance(tool_id, str) else None + if tool is None: + return _text_tool_result("Unknown or unauthorized tool_id", is_error=True) + + if name == MCP_PROXY_SCHEMA_TOOL_NAME: + return _text_tool_result(json.dumps(_proxy_schema_result(tool)), is_error=False) + if name != MCP_PROXY_CALL_TOOL_NAME: + raise HTTPException(status_code=400, detail=f"Unknown MCP proxy tool: {name}") + + tool_arguments: Final = arguments.get("arguments", {}) # mutable-ok: JSON Schema validator consumes mapping + if not isinstance(tool_arguments, dict): + return _text_tool_result("arguments must be an object", is_error=True) + try: + validate(instance=tool_arguments, schema=tool.inputSchema) + except JsonSchemaValidationError as exc: + return _text_tool_result(f"Invalid arguments: {exc.message}", is_error=True) + + return await handle_mcp_tool_call( + tool_name=_mcp_proxy_identity(tool)["tool_name"], + arguments=tool_arguments, + user_api_key_dict=user_api_key_dict, + requested_server_id=_mcp_proxy_identity(tool)["server_id"], + client_ip=client_ip, + mcp_servers=mcp_servers, + mcp_auth_header=mcp_auth_header, + mcp_server_auth_headers=mcp_server_auth_headers, + oauth2_headers=oauth2_headers, + raw_headers=raw_headers, + litellm_logging_obj=litellm_logging_obj, + ) + + async def handle_mcp_tool_call( tool_name: str, arguments: dict[str, Any], @@ -362,6 +595,7 @@ async def handle_mcp_tool_call( oauth2_headers: dict[str, str] | None = None, raw_headers: dict[str, str] | None = None, litellm_logging_obj: LiteLLMLoggingObj | None = None, + requested_server_id: str | None = None, ) -> CallToolResult: from litellm.proxy._experimental.mcp_server.server import ( _get_allowed_mcp_servers, @@ -400,4 +634,5 @@ async def handle_mcp_tool_call( oauth2_headers=oauth2_headers, raw_headers=raw_headers, litellm_logging_obj=litellm_logging_obj, + requested_server_id=requested_server_id, ) diff --git a/litellm/proxy/_experimental/mcp_server/toolset_db.py b/litellm/proxy/_experimental/mcp_server/toolset_db.py index ecaaf35e817..48bad178927 100644 --- a/litellm/proxy/_experimental/mcp_server/toolset_db.py +++ b/litellm/proxy/_experimental/mcp_server/toolset_db.py @@ -132,10 +132,18 @@ async def update_mcp_toolset( data: UpdateMCPToolsetRequest, touched_by: str, ) -> MCPToolset | None: - data_dict: Final = data.model_dump(exclude_none=True, exclude={"toolset_id"}) - if "tools" in data_dict: - data_dict["tools"] = json.dumps(data_dict["tools"]) - data_dict["updated_by"] = touched_by + """A partial update: absent keeps, null clears. A toolset always has a name and a + tool list, so a null ``toolset_name`` or ``tools`` is a no-op rather than a clear; + emptying the tool selection is an explicit ``[]``, which cannot be mistaken for a + caller that left the field out.""" + data_dict: Final = dict( # mutable-ok: Prisma requires a plain dict for JSON query serialization + ( + (field, json.dumps(value) if field == "tools" else value) + for field, value in data.model_dump(exclude_unset=True).items() + if field != "toolset_id" and (field not in ("toolset_name", "tools") or value is not None) + ), + updated_by=touched_by, + ) try: row: Final = await _toolset_table(prisma_client).update( where={"toolset_id": data.toolset_id}, diff --git a/litellm/proxy/_lazy_openapi_snapshot.json b/litellm/proxy/_lazy_openapi_snapshot.json index 71475320c2c..4d5cdcc8003 100644 --- a/litellm/proxy/_lazy_openapi_snapshot.json +++ b/litellm/proxy/_lazy_openapi_snapshot.json @@ -17027,6 +17027,134 @@ "mcp_app" ] } + }, + "/mcp/proxy": { + "delete": { + "description": "Serve the fixed three-tool MCP proxy surface.", + "operationId": "proxy_mcp_route_mcp_proxy_delete", + "responses": { + "200": { + "content": { + "application/json": { + "schema": {} + } + }, + "description": "Successful Response" + } + }, + "summary": "Proxy Mcp Route", + "tags": [ + "mcp_app" + ] + }, + "get": { + "description": "Serve the fixed three-tool MCP proxy surface.", + "operationId": "proxy_mcp_route_mcp_proxy_get", + "responses": { + "200": { + "content": { + "application/json": { + "schema": {} + } + }, + "description": "Successful Response" + } + }, + "summary": "Proxy Mcp Route", + "tags": [ + "mcp_app" + ] + }, + "head": { + "description": "Serve the fixed three-tool MCP proxy surface.", + "operationId": "proxy_mcp_route_mcp_proxy_head", + "responses": { + "200": { + "content": { + "application/json": { + "schema": {} + } + }, + "description": "Successful Response" + } + }, + "summary": "Proxy Mcp Route", + "tags": [ + "mcp_app" + ] + }, + "options": { + "description": "Serve the fixed three-tool MCP proxy surface.", + "operationId": "proxy_mcp_route_mcp_proxy_options", + "responses": { + "200": { + "content": { + "application/json": { + "schema": {} + } + }, + "description": "Successful Response" + } + }, + "summary": "Proxy Mcp Route", + "tags": [ + "mcp_app" + ] + }, + "patch": { + "description": "Serve the fixed three-tool MCP proxy surface.", + "operationId": "proxy_mcp_route_mcp_proxy_patch", + "responses": { + "200": { + "content": { + "application/json": { + "schema": {} + } + }, + "description": "Successful Response" + } + }, + "summary": "Proxy Mcp Route", + "tags": [ + "mcp_app" + ] + }, + "post": { + "description": "Serve the fixed three-tool MCP proxy surface.", + "operationId": "proxy_mcp_route_mcp_proxy_post", + "responses": { + "200": { + "content": { + "application/json": { + "schema": {} + } + }, + "description": "Successful Response" + } + }, + "summary": "Proxy Mcp Route", + "tags": [ + "mcp_app" + ] + }, + "put": { + "description": "Serve the fixed three-tool MCP proxy surface.", + "operationId": "proxy_mcp_route_mcp_proxy_put", + "responses": { + "200": { + "content": { + "application/json": { + "schema": {} + } + }, + "description": "Successful Response" + } + }, + "summary": "Proxy Mcp Route", + "tags": [ + "mcp_app" + ] + } } } }, diff --git a/litellm/proxy/_types.py b/litellm/proxy/_types.py index d1b391d57a3..0e2fd50ac9f 100644 --- a/litellm/proxy/_types.py +++ b/litellm/proxy/_types.py @@ -3,6 +3,7 @@ import json import os from collections.abc import Callable, Mapping from datetime import datetime +from types import MappingProxyType from typing import TYPE_CHECKING, Any, Final, Literal, NamedTuple import httpx @@ -502,6 +503,7 @@ class LiteLLMRoutes(enum.Enum): mcp_inference_routes = [ "/mcp", "/mcp/", + "/mcp/proxy", "/mcp/{subpath}", "/mcp/tools", "/mcp/tools/list", @@ -835,6 +837,14 @@ class LiteLLMRoutes(enum.Enum): "/team/daily/activity/aggregated", "/team/spend/by_user", "/team/{team_id}/members/me", + # POST/GET the team's logging callbacks, and DELETE one of them. Every + # handler calls _verify_team_access, which admits only a proxy admin, an + # org admin for the team, or an admin of this team. + # + # team_id is a free-form string, so it spells these with the same path + # converter the router uses; the gate matches that converter. + "/team/{team_id:path}/callback", + "/team/{team_id:path}/callback/{callback_name}", "/model/new", "/model/update", "/model/delete", @@ -1285,6 +1295,13 @@ class UpdateKeyRequest(KeyRequestBase): rotation_interval: str | None = None organization_id: str | None = None + @model_validator(mode="before") + @classmethod + def drop_blank_team_id(cls, values: object) -> object: + if isinstance(values, Mapping) and values.get("team_id") == "": + return MappingProxyType({k: v for k, v in values.items() if k != "team_id"}) + return values + @field_validator("organization_id", mode="before") @classmethod def treat_cleared_organization_id_as_unset(cls, v: object) -> object: @@ -3584,6 +3601,7 @@ class AllCallbacks(LiteLLMPydanticObjectBase): ui_callback_name="OpenTelemetry", litellm_callback_params=[ "OTEL_EXPORTER", + "OTEL_EXPORTER_OTLP_PROTOCOL", "OTEL_ENDPOINT", "OTEL_TRACES_ENDPOINT", "OTEL_HEADERS", @@ -5138,9 +5156,26 @@ class CostEstimateRequest(LiteLLMPydanticObjectBase): model: str = Field(description="Model name (from /model_group/info)") input_tokens: int = Field(description="Expected input tokens per request", ge=0) output_tokens: int = Field(description="Expected output tokens per request", ge=0) + cache_read_input_tokens: int = Field( + default=0, description="Input tokens read from the prompt cache; counted within input_tokens", ge=0 + ) + cache_creation_input_tokens: int = Field( + default=0, description="Input tokens written to the prompt cache; counted within input_tokens", ge=0 + ) + reasoning_tokens: int = Field( + default=0, description="Reasoning tokens the model emits; counted within output_tokens", ge=0 + ) num_requests_per_day: int | None = Field(default=None, description="Number of requests per day", ge=0) num_requests_per_month: int | None = Field(default=None, description="Number of requests per month", ge=0) + @model_validator(mode="after") + def validate_token_subsets(self) -> "CostEstimateRequest": + if self.cache_read_input_tokens + self.cache_creation_input_tokens > self.input_tokens: + raise ValueError("cache_read_input_tokens plus cache_creation_input_tokens cannot exceed input_tokens") + if self.reasoning_tokens > self.output_tokens: + raise ValueError("reasoning_tokens cannot exceed output_tokens") + return self + class CostEstimateResponse(LiteLLMPydanticObjectBase): """Response body for /cost/estimate endpoint.""" @@ -5148,6 +5183,9 @@ class CostEstimateResponse(LiteLLMPydanticObjectBase): model: str input_tokens: int output_tokens: int + cache_read_input_tokens: int = 0 + cache_creation_input_tokens: int = 0 + reasoning_tokens: int = 0 num_requests_per_day: int | None = None num_requests_per_month: int | None = None # Per-request costs @@ -5155,17 +5193,33 @@ class CostEstimateResponse(LiteLLMPydanticObjectBase): input_cost_per_request: float = Field(description="Input token cost per request (before margin)") output_cost_per_request: float = Field(description="Output token cost per request (before margin)") margin_cost_per_request: float = Field(default=0.0, description="Margin/fee added per request") + cache_read_cost_per_request: float = Field(default=0.0, description="Cache-read share of input_cost_per_request") + cache_creation_cost_per_request: float = Field( + default=0.0, description="Cache-write share of input_cost_per_request" + ) + reasoning_cost_per_request: float = Field(default=0.0, description="Reasoning share of output_cost_per_request") # Daily costs (if num_requests_per_day provided) daily_cost: float | None = Field(default=None, description="Total daily cost (includes margin)") daily_input_cost: float | None = Field(default=None, description="Daily input token cost") daily_output_cost: float | None = Field(default=None, description="Daily output token cost") daily_margin_cost: float | None = Field(default=None, description="Daily margin/fee") + daily_cache_read_cost: float | None = Field(default=None, description="Cache-read share of daily_input_cost") + daily_cache_creation_cost: float | None = Field(default=None, description="Cache-write share of daily_input_cost") + daily_reasoning_cost: float | None = Field(default=None, description="Reasoning share of daily_output_cost") # Monthly costs (if num_requests_per_month provided) monthly_cost: float | None = Field(default=None, description="Total monthly cost (includes margin)") monthly_input_cost: float | None = Field(default=None, description="Monthly input token cost") monthly_output_cost: float | None = Field(default=None, description="Monthly output token cost") monthly_margin_cost: float | None = Field(default=None, description="Monthly margin/fee") - # Pricing info - input_cost_per_token: float | None = None - output_cost_per_token: float | None = None + monthly_cache_read_cost: float | None = Field(default=None, description="Cache-read share of monthly_input_cost") + monthly_cache_creation_cost: float | None = Field( + default=None, description="Cache-write share of monthly_input_cost" + ) + monthly_reasoning_cost: float | None = Field(default=None, description="Reasoning share of monthly_output_cost") + # Pricing info: the rates this request's usage bills at, after token tiers and regional multipliers + input_cost_per_token: float | None = Field(default=None, description="Rate billed per input token") + output_cost_per_token: float | None = Field(default=None, description="Rate billed per output token") + cache_read_input_token_cost: float | None = Field(default=None, description="Rate billed per cache-read token") + cache_creation_input_token_cost: float | None = Field(default=None, description="Rate billed per cache-write token") + output_cost_per_reasoning_token: float | None = Field(default=None, description="Rate billed per reasoning token") provider: str | None = None diff --git a/litellm/proxy/agent_endpoints/a2a_endpoints.py b/litellm/proxy/agent_endpoints/a2a_endpoints.py index 28882484db4..95c34f70d7b 100644 --- a/litellm/proxy/agent_endpoints/a2a_endpoints.py +++ b/litellm/proxy/agent_endpoints/a2a_endpoints.py @@ -144,31 +144,32 @@ def _validate_push_notification_url(url: str) -> None: raise HTTPException(status_code=400, detail=str(e)) from e -def _caller_identity_headers(user_api_key_dict: UserAPIKeyAuth) -> dict[str, str]: - headers: Final[dict[str, str]] = {} - if user_api_key_dict.user_id: - headers["X-LiteLLM-User-Id"] = user_api_key_dict.user_id - if user_api_key_dict.team_id: - headers["X-LiteLLM-Team-Id"] = user_api_key_dict.team_id - return headers +def _caller_identity_headers(user_api_key_dict: UserAPIKeyAuth) -> Mapping[str, str]: + return MappingProxyType( + { + name: value + for name, value in ( + ("X-LiteLLM-User-Id", user_api_key_dict.user_id), + ("X-LiteLLM-Team-Id", user_api_key_dict.team_id), + ) + if value + } + ) def _forwarding_headers( - user_api_key_dict: UserAPIKeyAuth, + caller_identity: Mapping[str, str], request_data: Mapping[str, object], agent_extra_headers: Mapping[str, str] | None, -) -> Mapping[str, str] | None: - sanitized: Final = ( - {k: v for k, v in agent_extra_headers.items() if not k.lower().startswith("x-litellm-")} - if agent_extra_headers - else None +) -> dict[str, str] | None: + passthrough: Final = tuple( + (name, value) + for name, value in (agent_extra_headers.items() if agent_extra_headers else ()) + if not name.lower().startswith("x-litellm-") ) - merged: Final = merge_agent_headers(dynamic_headers=sanitized, static_headers=None) or {} - identity: Final = _caller_identity_headers(user_api_key_dict) trace_id: Final = request_data.get("litellm_trace_id") - if trace_id: - identity["X-LiteLLM-Trace-Id"] = str(trace_id) - merged.update(identity) + trace: Final = (("X-LiteLLM-Trace-Id", str(trace_id)),) if trace_id else () + merged: Final = dict((*passthrough, *caller_identity.items(), *trace)) return merged or None @@ -755,6 +756,7 @@ async def invoke_agent_a2a( ProxyBaseLLMRequestProcessing, ) + caller_identity: Final = _caller_identity_headers(user_api_key_dict) processor: Final = ProxyBaseLLMRequestProcessing(data=body) data, logging_obj = await processor.common_processing_pre_call_logic( request=request, @@ -793,9 +795,13 @@ async def invoke_agent_a2a( if header_name: dynamic_headers[header_name] = val - agent_extra_headers = merge_agent_headers( - dynamic_headers=dynamic_headers or None, - static_headers=static_headers or None, + agent_extra_headers = _forwarding_headers( + caller_identity=caller_identity, + request_data=data, + agent_extra_headers=merge_agent_headers( + dynamic_headers=dynamic_headers or None, + static_headers=static_headers or None, + ), ) # Databricks App endpoints require a short-lived OAuth M2M token rather @@ -942,12 +948,7 @@ async def invoke_agent_a2a( "method": method, "params": params, } - caller_headers: Final = _forwarding_headers( - user_api_key_dict=user_api_key_dict, - request_data=data, - agent_extra_headers=agent_extra_headers, - ) - result = await _forward_jsonrpc(agent_url, forward_body, extra_headers=caller_headers) + result = await _forward_jsonrpc(agent_url, forward_body, extra_headers=agent_extra_headers) if method == "agent/getAuthenticatedExtendedCard": card: Final = result.get("result") if isinstance(card, dict): @@ -988,16 +989,11 @@ async def invoke_agent_a2a( "method": method, "params": params, } - sse_caller_headers: Final = _forwarding_headers( - user_api_key_dict=user_api_key_dict, - request_data=data, - agent_extra_headers=agent_extra_headers, - ) return await _forward_jsonrpc_sse( agent_url, forward_body, request_id=request_id, - extra_headers=sse_caller_headers, + extra_headers=agent_extra_headers, proxy_logging_obj=proxy_logging_obj, user_api_key_dict=user_api_key_dict, request_data=data, diff --git a/litellm/proxy/anthropic_endpoints/endpoints.py b/litellm/proxy/anthropic_endpoints/endpoints.py index b243b737b0a..d4cb3b84ee4 100644 --- a/litellm/proxy/anthropic_endpoints/endpoints.py +++ b/litellm/proxy/anthropic_endpoints/endpoints.py @@ -25,6 +25,11 @@ from litellm.proxy.common_request_processing import ( proxy_exception_from_http_exception, ) from litellm.proxy.common_utils.http_parsing_utils import _read_request_body +from litellm.proxy.common_utils.openai_error_payload import ( + error_status_code, + openai_error_param, + openai_error_type, +) from litellm.types.utils import TokenCountResponse router: Final = APIRouter() @@ -243,9 +248,9 @@ async def anthropic_response( return _anthropic_error_json_response( ProxyException( message=getattr(e, "message", error_msg), - type=getattr(e, "type", "None"), - param=getattr(e, "param", "None"), - code=getattr(e, "status_code", 500), + type=openai_error_type(e, error_status_code(e, 500)), + param=openai_error_param(e), + code=error_status_code(e, 500), headers=headers, ), request, diff --git a/litellm/proxy/auth/auth_checks.py b/litellm/proxy/auth/auth_checks.py index dc693317de0..a71a1993064 100644 --- a/litellm/proxy/auth/auth_checks.py +++ b/litellm/proxy/auth/auth_checks.py @@ -475,6 +475,7 @@ def _is_model_cost_zero(model: str | list[str] | None, llm_router: Router | None _NO_MODEL_INFO: Final[Mapping[str, object]] = MappingProxyType({}) +_TEAM_GRANT_RELATIONS: Final[Mapping[str, object]] = MappingProxyType({"litellm_model_table": True}) def _has_ptu_flat_cost(model: str, llm_router: "Router") -> bool: @@ -2858,7 +2859,9 @@ class TeamNotFoundError(HTTPException): async def _get_team_db_check( team_id: str, prisma_client: PrismaClient, team_id_upsert: bool | None = None ) -> "_PrismaTeamRow | None": - response = await _team_table(TeamRepository(prisma_client)).find_unique(where={"team_id": team_id}) + response = await _team_table(TeamRepository(prisma_client)).find_unique( + where={"team_id": team_id}, include=_TEAM_GRANT_RELATIONS + ) if response is None and team_id_upsert: from litellm.proxy.management_endpoints.team_endpoints import new_team @@ -3158,7 +3161,9 @@ async def get_team_object_by_alias( # Query database by team_alias try: - teams: Final = await _team_table(TeamRepository(prisma_client)).find_many(where={"team_alias": team_alias}) + teams: Final = await _team_table(TeamRepository(prisma_client)).find_many( + where={"team_alias": team_alias}, include=_TEAM_GRANT_RELATIONS + ) if not teams: raise HTTPException( diff --git a/litellm/proxy/auth/handle_jwt.py b/litellm/proxy/auth/handle_jwt.py index 0795cee7409..69091ee8344 100644 --- a/litellm/proxy/auth/handle_jwt.py +++ b/litellm/proxy/auth/handle_jwt.py @@ -53,6 +53,7 @@ from litellm.proxy._types import ( ) from litellm.proxy.auth.auth_checks import can_team_access_model from litellm.proxy.auth.route_checks import RouteChecks +from litellm.proxy.auth.team_grants import team_model_aliases from litellm.proxy.common_utils.user_api_key_cache import ( UserApiKeyCache, get_management_object_ttl, @@ -1595,7 +1596,7 @@ class JWTAuthManager: model=requested_model, team_object=team_object, llm_router=llm_router, - team_model_aliases=None, + team_model_aliases=team_model_aliases(team_object), ) ): is_allowed = allowed_routes_check( @@ -2132,7 +2133,7 @@ class JWTAuthManager: model=requested_model, team_object=team_object, llm_router=llm_router, - team_model_aliases=None, + team_model_aliases=team_model_aliases(team_object), ) except ProxyException: continue diff --git a/litellm/proxy/auth/route_checks.py b/litellm/proxy/auth/route_checks.py index 4dba2497bb9..953e3cf3e88 100644 --- a/litellm/proxy/auth/route_checks.py +++ b/litellm/proxy/auth/route_checks.py @@ -497,10 +497,22 @@ class RouteChecks: def _placeholder_to_regex(match: re.Match) -> str: placeholder: Final = match.group(0).strip("{}") - if placeholder.endswith(":path"): - # allow "/" in the placeholder value, but don't eat the route suffix after ":" - return r"[^:]+" - return r"[^/]+" + if not placeholder.endswith(":path"): + return r"[^/]+" + # A ":path" placeholder takes whatever the router's own path + # converter takes, slashes and colons alike, so an id spelled with + # either (or both) still matches the template it was mounted under. + # + # Unless the template puts a ":" literal of its own after the + # placeholder: the Google routes end in ":generateContent" and + # friends, and there the value has to stop before that suffix + # rather than swallow it and match a different verb. + # + # "[\s\S]" rather than ".", because "." stops at a newline and the + # path converter does not: a %0A anywhere in the value would leave + # the route unmatched here while still reaching the handler, which + # turns this gate into a bypass for the lists built on it. + return r"[^:]+" if ":" in match.string[match.end() :] else r"[\s\S]+" pattern = re.sub(r"\{[^}]+\}", _placeholder_to_regex, pattern) # Anchor the pattern to match the entire string diff --git a/litellm/proxy/auth/team_grants.py b/litellm/proxy/auth/team_grants.py new file mode 100644 index 00000000000..1196011dcdd --- /dev/null +++ b/litellm/proxy/auth/team_grants.py @@ -0,0 +1,122 @@ +"""Project a team row (plus the caller's membership in it) onto the ``team_*`` fields of ``UserAPIKeyAuth``. + +The virtual-key path gets these fields for free from the combined-view SQL join. Every other auth path +starts from a ``LiteLLM_TeamTable`` object instead and has to copy them over by hand, which is how JWT +callers kept losing grants (aliases, permissions, limits) one field at a time. Build the badge through +``team_grants`` and the two paths cannot drift. +""" + +from collections.abc import Mapping, Sequence +from types import MappingProxyType +from typing import Annotated, Final + +from pydantic import BaseModel, BeforeValidator, ConfigDict, TypeAdapter, ValidationError +from pydantic.main import IncEx +from typing_extensions import ReadOnly, TypedDict + +from litellm.proxy._types import ( + LiteLLM_ObjectPermissionTable, + LiteLLM_TeamMembership, + LiteLLM_TeamTable, + Member, +) + +_MODEL_ALIASES_ADAPTER: Final = TypeAdapter(dict[str, str]) +_JSON_COLUMNS: Final[Mapping[str, IncEx | bool]] = MappingProxyType( + {"metadata": True, "litellm_model_table": MappingProxyType({"model_aliases": True})} +) + + +def _decode_model_aliases(value: object) -> object: + """``LiteLLM_ModelTable.model_aliases`` is typed ``str | dict``; writers hand Prisma ``json.dumps(...)``, so take both.""" + if not isinstance(value, str): + return value + try: + return _MODEL_ALIASES_ADAPTER.validate_json(value) + except ValidationError: + return None + + +class TeamModelAliasTable(BaseModel): + model_config = ConfigDict(protected_namespaces=()) + + model_aliases: Annotated[Mapping[str, str] | None, BeforeValidator(_decode_model_aliases)] = None + + +class _TeamJsonColumns(BaseModel): + """The two loosely typed columns on ``LiteLLM_TeamTable``, re-read with the shape the badge needs.""" + + metadata: Mapping[str, object] | None = None + litellm_model_table: TeamModelAliasTable | None = None + + +class TeamGrants(TypedDict, total=False): + """Keyword arguments for ``UserAPIKeyAuth``. Empty when the caller has no team, so the model's own defaults apply.""" + + team_alias: ReadOnly[str | None] + team_tpm_limit: ReadOnly[int | None] + team_rpm_limit: ReadOnly[int | None] + team_max_budget: ReadOnly[float | None] + team_soft_budget: ReadOnly[float | None] + team_spend: ReadOnly[float | None] + team_models: ReadOnly[Sequence[str]] + team_blocked: ReadOnly[bool] + team_metadata: ReadOnly[Mapping[str, object] | None] + team_model_aliases: ReadOnly[Mapping[str, str] | None] + team_object_permission_id: ReadOnly[str | None] + team_object_permission: ReadOnly[LiteLLM_ObjectPermissionTable | None] + team_member: ReadOnly[Member | None] + team_member_spend: ReadOnly[float | None] + team_member_tpm_limit: ReadOnly[int | None] + team_member_rpm_limit: ReadOnly[int | None] + + +def _json_columns(team_object: LiteLLM_TeamTable) -> _TeamJsonColumns: + try: + return _TeamJsonColumns.model_validate(team_object.model_dump(include=_JSON_COLUMNS)) + except ValidationError: + return _TeamJsonColumns() + + +def team_model_aliases(team_object: LiteLLM_TeamTable | None) -> Mapping[str, str] | None: + if team_object is None: + return None + alias_table: Final = _json_columns(team_object).litellm_model_table + return alias_table.model_aliases if alias_table is not None else None + + +def team_grants( + team_object: LiteLLM_TeamTable | None, + team_membership: LiteLLM_TeamMembership | None, + user_id: str | None, +) -> TeamGrants: + if team_object is None: + return TeamGrants() + json_columns: Final = _json_columns(team_object) + return TeamGrants( + team_alias=team_object.team_alias, + team_tpm_limit=team_object.tpm_limit, + team_rpm_limit=team_object.rpm_limit, + team_max_budget=team_object.max_budget, + team_soft_budget=team_object.soft_budget, + team_spend=team_object.spend, + team_models=tuple(team_object.models), + team_blocked=team_object.blocked, + team_metadata=json_columns.metadata, + team_model_aliases=( + json_columns.litellm_model_table.model_aliases if json_columns.litellm_model_table is not None else None + ), + team_object_permission_id=team_object.object_permission_id, + team_object_permission=team_object.object_permission, + team_member=next( + (m for m in team_object.members_with_roles if user_id is not None and m.user_id == user_id), + None, + ), + team_member_spend=team_membership.spend if team_membership is not None else None, + team_member_tpm_limit=( + team_membership.safe_get_team_member_tpm_limit() if team_membership is not None else None + ), + team_member_rpm_limit=( + team_membership.safe_get_team_member_rpm_limit() if team_membership is not None else None + ), + ) diff --git a/litellm/proxy/auth/user_api_key_auth.py b/litellm/proxy/auth/user_api_key_auth.py index d8679627bc3..bfccb703e76 100644 --- a/litellm/proxy/auth/user_api_key_auth.py +++ b/litellm/proxy/auth/user_api_key_auth.py @@ -82,6 +82,7 @@ from litellm.proxy.auth.oauth2_proxy_hook import handle_oauth2_proxy_request from litellm.proxy.auth.resolvers import CredentialRef, Principal from litellm.proxy.auth.resolvers.store import IdentityStore from litellm.proxy.auth.route_checks import RouteChecks +from litellm.proxy.auth.team_grants import team_grants from litellm.proxy.auth.trusted_proxy_utils import get_trusted_proxy_cidrs from litellm.proxy.common_utils.cache_coordinator import EventDrivenCacheCoordinator from litellm.proxy.common_utils.http_parsing_utils import ( @@ -1476,24 +1477,16 @@ async def _user_api_key_auth_builder( user_id=user_id, user_email=user_email, team_id=team_id, - team_alias=(team_object.team_alias if team_object is not None else None), - team_tpm_limit=(team_object.tpm_limit if team_object is not None else None), - team_rpm_limit=(team_object.rpm_limit if team_object is not None else None), - team_models=(team_object.models if team_object is not None else []), - team_metadata=(team_object.metadata if team_object is not None else None), org_id=org_id, end_user_id=end_user_id, parent_otel_span=parent_otel_span, jwt_claims=jwt_claims, + **team_grants(team_object=team_object, team_membership=team_membership, user_id=user_id), ) valid_token = UserAPIKeyAuth( api_key=None, team_id=team_id, - team_alias=(team_object.team_alias if team_object is not None else None), - team_tpm_limit=(team_object.tpm_limit if team_object is not None else None), - team_rpm_limit=(team_object.rpm_limit if team_object is not None else None), - team_models=(team_object.models if team_object is not None else []), user_role=( LitellmUserRoles(user_object.user_role) if user_object is not None and user_object.user_role is not None @@ -1507,17 +1500,8 @@ async def _user_api_key_auth_builder( user_tpm_limit=(user_object.tpm_limit if user_object is not None else None), user_rpm_limit=(user_object.rpm_limit if user_object is not None else None), user_model_max_budget=(user_object.model_max_budget if user_object is not None else None), - team_member_rpm_limit=( - team_membership.safe_get_team_member_rpm_limit() if team_membership is not None else None - ), - team_member_tpm_limit=( - team_membership.safe_get_team_member_tpm_limit() if team_membership is not None else None - ), - team_metadata=(team_object.metadata if team_object is not None else None), jwt_claims=jwt_claims, - ) - valid_token.team_object_permission = ( - team_object.object_permission if team_object is not None else None + **team_grants(team_object=team_object, team_membership=team_membership, user_id=user_id), ) # AUTO_REGISTER deferred from _resolve_jwt_to_virtual_key. @@ -2836,6 +2820,43 @@ async def _authorize_authenticated_request( return None +def _seed_request_destinations(user_api_key_dict: UserAPIKeyAuth, request: Request | None = None) -> None: + """Anchor the OTLP destinations this key or team overrides its traces to. + + Called inside the ``auth`` phase span so that span reaches the tenant's account + as well, and on the request task so the ``ContextVar`` is inherited by the logging + tasks that close the LLM span. Best-effort: trace routing must never fail auth. + + ``request`` carries the headers, so a backend this request disabled with + ``x-litellm-disable-callbacks`` resolves to no destination. + + Only destinations the published fan-out can build are anchored. Anchoring one is + what tells the operator's exporter to hold that backend's spans back under + ``override``, so an unbuildable one would leave the span with nowhere to go. + + The ``postgres`` spans under ``auth`` close before this runs, because they are the + reads that resolve the identity being read here. They never reach the tenant's + account, and they are never withheld from the operator's backend, whichever mode + is set. + """ + try: + from litellm.integrations.otel.logger import fan_out_provider + from litellm.integrations.otel.plumbing.context import set_request_destinations + from litellm.integrations.otel.plumbing.providers import deliverable_destinations + from litellm.proxy.litellm_pre_call_utils import ( + resolve_tenant_otel_destinations, + ) + + set_request_destinations( + deliverable_destinations( + resolve_tenant_otel_destinations(user_api_key_dict, _safe_get_request_headers(request)), + fan_out_provider(), + ) + ) + except Exception as exc: # noqa: BLE001 # telemetry routing is best-effort and must never break authentication + verbose_proxy_logger.debug("OTel V2: tenant destination resolution failed: %s", exc) + + @tracer.wrap() async def user_api_key_auth( request: Request, @@ -2883,6 +2904,7 @@ async def user_api_key_auth( raise body_parse_exception raise user_api_key_auth_obj.budget_reservation = None + _seed_request_destinations(user_api_key_auth_obj, request) # A body that never parsed is authenticated (so the trace carries identity # and this ``auth`` span) but not authorized: there is no model to check it diff --git a/litellm/proxy/common_request_processing.py b/litellm/proxy/common_request_processing.py index 2bf57fbeb7b..8a22015d3b6 100644 --- a/litellm/proxy/common_request_processing.py +++ b/litellm/proxy/common_request_processing.py @@ -54,6 +54,12 @@ from litellm.proxy.common_utils.callback_utils import ( get_logging_caching_headers, get_remaining_tokens_and_requests_from_request_data, ) +from litellm.proxy.common_utils.openai_error_payload import ( + attribute_of, + error_status_code, + openai_error_param, + openai_error_type, +) from litellm.proxy.common_utils.sse_keepalive import ( SSE_COMMENT_PING_BYTES, coerce_keepalive_interval, @@ -464,46 +470,6 @@ def _stream_usage_tracking_updates( } -def _getattr_object(value: object, name: str, default: object = None) -> object: - return getattr(value, name, default) - - -_OPENAI_ERROR_TYPE_BY_STATUS: Final[Mapping[int, str]] = MappingProxyType( - { - status.HTTP_401_UNAUTHORIZED: "authentication_error", - status.HTTP_403_FORBIDDEN: "permission_error", - status.HTTP_429_TOO_MANY_REQUESTS: "rate_limit_error", - } -) - - -def _error_status_code(exc: object, default: int) -> int: - """The HTTP status an exception carries, or ``default`` when it carries none.""" - carried: Final = _getattr_object(exc, "status_code") - return carried if isinstance(carried, int) and not isinstance(carried, bool) else default - - -def _openai_error_type(exc: object, status_code: int) -> str: - """OpenAI types ``error.type`` as a required string, so an exception carrying none - falls back to the type its status code stands for.""" - carried: Final = _getattr_object(exc, "type") - if isinstance(carried, str): - return carried - mapped: Final = _OPENAI_ERROR_TYPE_BY_STATUS.get(status_code) - if mapped is not None: - return mapped - if status_code < status.HTTP_500_INTERNAL_SERVER_ERROR: - return "invalid_request_error" - return "internal_server_error" - - -def _openai_error_param(exc: object) -> str | None: - """OpenAI types ``error.param`` as nullable, so an exception carrying none - serializes as JSON ``null``.""" - carried: Final = _getattr_object(exc, "param") - return carried if isinstance(carried, str) else None - - class _UpstreamHttpResponse(Protocol): @property def status_code(self) -> int: ... @@ -573,15 +539,15 @@ def serialize_http_exception_detail( def proxy_exception_from_http_exception(exc: HTTPException, headers: dict[str, str]) -> ProxyException: - raw_detail: Final = _getattr_object(exc, "detail", str(exc)) + raw_detail: Final = attribute_of(exc, "detail", str(exc)) message, structured_fields = serialize_http_exception_detail(raw_detail) existing_fields: Final = getattr(exc, "provider_specific_fields", None) or {} merged_fields: Final = {**existing_fields, **structured_fields} if structured_fields else (existing_fields or None) - error_status: Final = _error_status_code(exc, status.HTTP_400_BAD_REQUEST) + error_status: Final = error_status_code(exc, status.HTTP_400_BAD_REQUEST) return ProxyException( message=message, - type=_openai_error_type(exc, error_status), - param=_openai_error_param(exc), + type=openai_error_type(exc, error_status), + param=openai_error_param(exc), code=error_status, provider_specific_fields=merged_fields, headers=headers, @@ -865,8 +831,8 @@ def sse_error_payload(exc: BaseException) -> tuple[int, Mapping[str, object]]: are byte-identical. """ # Preserve status code from HTTPException (e.g. guardrail blocks) - error_status: Final = _error_status_code(exc, status.HTTP_500_INTERNAL_SERVER_ERROR) - raw_detail: Final = _getattr_object(exc, "detail", "Error processing stream start") + error_status: Final = error_status_code(exc, status.HTTP_500_INTERNAL_SERVER_ERROR) + raw_detail: Final = attribute_of(exc, "detail", "Error processing stream start") message, structured_fields = serialize_http_exception_detail(raw_detail) existing_fields: Final = getattr(exc, "provider_specific_fields", None) or {} @@ -874,8 +840,8 @@ def sse_error_payload(exc: BaseException) -> tuple[int, Mapping[str, object]]: error_obj: Final = { "message": message, - "type": _openai_error_type(exc, error_status), - "param": _openai_error_param(exc), + "type": openai_error_type(exc, error_status), + "param": openai_error_param(exc), "code": str(error_status), } if not merged_fields: @@ -2815,10 +2781,10 @@ class ProxyBaseLLMRequestProcessing: ``ResponsesAPIResponse`` directly. Handle both shapes so the container-ownership recording path can walk ``.output`` either way. """ - completed: Final = _getattr_object(stream_response, "completed_response") + completed: Final = attribute_of(stream_response, "completed_response") if completed is None: return None - response_obj: Final = _getattr_object(completed, "response") + response_obj: Final = attribute_of(completed, "response") if response_obj is not None: return response_obj return completed @@ -3475,7 +3441,7 @@ class ProxyBaseLLMRequestProcessing: headers = getattr(e, "headers", None) or {} if not headers: # Try to get headers from e.response.headers (httpx.Response) - _response: Final = _getattr_object(e, "response") + _response: Final = attribute_of(e, "response") if _response is not None: _response_headers: Final = getattr(_response, "headers", None) if _response_headers: @@ -3550,8 +3516,8 @@ class ProxyBaseLLMRequestProcessing: _code = status.HTTP_500_INTERNAL_SERVER_ERROR raise ProxyException( message=redact_internal_details_from_client_message(getattr(e, "message", error_msg)), - type=_openai_error_type(e, _code), - param=_openai_error_param(e), + type=openai_error_type(e, _code), + param=openai_error_param(e), openai_code=getattr(e, "code", None), code=_code, provider_specific_fields=getattr(e, "provider_specific_fields", None), @@ -3761,11 +3727,11 @@ class ProxyBaseLLMRequestProcessing: if isinstance(e, HTTPException): raise e - stream_error_status: Final = _error_status_code(e, status.HTTP_500_INTERNAL_SERVER_ERROR) + stream_error_status: Final = error_status_code(e, status.HTTP_500_INTERNAL_SERVER_ERROR) proxy_exception: Final = ProxyException( message=redact_internal_details_from_client_message(getattr(e, "message", str(e))), - type=_openai_error_type(e, stream_error_status), - param=_openai_error_param(e), + type=openai_error_type(e, stream_error_status), + param=openai_error_param(e), code=stream_error_status, ) stream_completed = True diff --git a/litellm/proxy/common_utils/callback_config_validation.py b/litellm/proxy/common_utils/callback_config_validation.py index 7ee3bd8d829..c9d97068313 100644 --- a/litellm/proxy/common_utils/callback_config_validation.py +++ b/litellm/proxy/common_utils/callback_config_validation.py @@ -44,6 +44,91 @@ def _langfuse_environment_error(callback_vars: Mapping[str, str]) -> str | None: return None +# Which credential family a dynamic variable belongs to. The families are the +# integrations that share one account: every langfuse_* variable configures the +# same Langfuse project whether it rides the classic callback or the OTel one, +# and every dd_* variable configures the same Datadog account. +_VAR_FAMILIES: Final[Mapping[str, str]] = MappingProxyType( + { + "arize_": "Arize", + "dd_": "Datadog", + "gcs_": "GCS", + "humanloop_": "Humanloop", + "langfuse_": "Langfuse", + "langsmith_": "LangSmith", + "newrelic_": "New Relic", + "posthog_": "PostHog", + "wandb_": "Weights & Biases", + "weave_": "Weights & Biases", + } +) + + +def _family_of(var: str) -> str | None: + """The credential family ``var`` configures, or ``None`` if it configures none. + + ``turn_off_message_logging`` and friends belong to no backend, so they carry + no credentials anyone could redirect. + """ + return next((family for prefix, family in _VAR_FAMILIES.items() if var.startswith(prefix)), None) + + +def cross_entry_family_error( + callback_vars: Mapping[str, str] | None, + stored_vars_by_entry: Sequence[Mapping[str, str]], +) -> str | None: + """Reject an entry that changes what a family another entry holds resolves to. + + Every stored entry's variables are flattened into one dict before a request + reads them, and the flattened dict is what the exporter authenticates and + addresses with. So an entry naming only a destination is enough to redirect + credentials that were written somewhere else: a host on a second entry pairs + with the key from the first, and the request carries that key to the new + host. + + Two rules together keep the flattened dict out of the caller's hands. A + variable the family already configures has to keep the value it has, so + nothing already in use can be moved. A variable the family does not yet + configure may only carry a value the family already holds, which is what lets + the same credential go in under its other spelling (``langfuse_secret`` and + ``langfuse_secret_key`` are one key) without anything here having to list the + spellings. Between them, no value the caller chose can enter the family, and + repeating the family as it stands is still allowed -- that is how one + integration gets registered for both the success and the failure event. + + A team admin who does want to move a family deletes the entry holding it + first, which reveals nothing. + + Only the writers this endpoint newly admits are held to this, because a proxy + admin already holds every credential the proxy has. + + ``stored_vars_by_entry`` has to arrive decrypted; the credential values are + encrypted at rest and ciphertext never equals the plaintext coming in. + """ + if not callback_vars: + return None + stored_by_var: Final = { + var: value for entry in stored_vars_by_entry for var, value in entry.items() if _family_of(var) is not None + } + family_values: Final = frozenset( + (family, value) + for entry in stored_vars_by_entry + for var, value in entry.items() + if (family := _family_of(var)) is not None + ) + held_families: Final = frozenset(family for family, _ in family_values) + return next( + ( + f"{family} is already configured by another callback entry on this team. " + f"Remove that entry before setting {var} here." + for var, value, family in ((v, callback_vars[v], _family_of(v)) for v in callback_vars) + if family in held_families + and (stored_by_var[var] != value if var in stored_by_var else (family, value) not in family_values) + ), + None, + ) + + def logging_metadata_config_error(metadata: Mapping[str, object] | None) -> str | None: """Validate every ``logging`` entry of a team/key metadata payload.""" if not metadata: diff --git a/litellm/proxy/common_utils/callback_utils.py b/litellm/proxy/common_utils/callback_utils.py index 770963a1f24..561a53409f4 100644 --- a/litellm/proxy/common_utils/callback_utils.py +++ b/litellm/proxy/common_utils/callback_utils.py @@ -1,10 +1,12 @@ import copy +import json import os from collections.abc import Callable, Iterable, Mapping from dataclasses import dataclass +from itertools import accumulate from typing import TYPE_CHECKING, Any, Final, Literal, NoReturn, Optional, TypeAlias -from typing_extensions import assert_never +from typing_extensions import ReadOnly, TypedDict, assert_never import litellm from litellm import get_secret @@ -12,6 +14,7 @@ from litellm._logging import verbose_proxy_logger from litellm.constants import ( CLIENT_OUTPUT_CEILING_METADATA_KEY, CONSUMED_REQUEST_TAGS_METADATA_KEY, + MAX_GUARDRAIL_SCAN_METADATA_HEADER_LENGTH, PRE_CALL_EXECUTED_GUARDRAILS_KEY, ROUTING_REQUEST_TAGS_METADATA_KEY, SESSION_DEPLOYMENT_AFFINITY_TTL_METADATA_KEY, @@ -28,6 +31,7 @@ from litellm.proxy.common_utils.encrypt_decrypt_utils import ( encrypt_value_helper, ) from litellm.proxy.types_utils.utils import get_instance_fn +from litellm.types.guardrails import GuardrailEventHooks from litellm.types.utils import ( StandardLoggingGuardrailInformation, StandardLoggingPayload, @@ -52,6 +56,15 @@ reset_color_code: Final = "\033[0m" TRUSTED_PILLAR_RESPONSE_HEADERS_METADATA_KEY: Final = "_pillar_response_headers_trusted" GUARDRAIL_SCAN_IDS_METADATA_KEY: Final = "guardrail_scan_ids" +GUARDRAIL_SCAN_METADATA_METADATA_KEY: Final = "guardrail_scan_metadata" + + +class GuardrailScanMetadata(TypedDict): + guardrail: ReadOnly[str | None] + stage: ReadOnly[str] + provider: ReadOnly[str] + scan_id: ReadOnly[str] + if TYPE_CHECKING: from litellm.litellm_core_utils.litellm_logging import Logging as LiteLLMLogging @@ -450,6 +463,16 @@ def get_remaining_tokens_and_requests_from_request_data(data: dict) -> dict[str, return headers +def _serialize_scan_metadata_header(entries: Iterable[object], *, max_length: int) -> str | None: + """Compact JSON list of scan metadata entries, dropping trailing entries so the header fits in max_length.""" + encoded: Final = tuple(json.dumps(entry, separators=(",", ":")) for entry in entries) + lengths: Final = tuple(accumulate(len(item) + 1 for item in encoded)) + kept: Final = sum(1 for length in lengths if length + 1 <= max_length) + if kept == 0: + return None + return f"[{','.join(encoded[:kept])}]" + + def get_logging_caching_headers(request_data: dict) -> dict | None: _metadata: Final[dict] = {} metadata_bucket: Final = request_data.get("metadata") @@ -468,6 +491,15 @@ def get_logging_caching_headers(request_data: dict) -> dict | None: if scan_ids: headers["x-litellm-guardrail-scan-id"] = ",".join(scan_ids) + scan_metadata: Final = _metadata.get(GUARDRAIL_SCAN_METADATA_METADATA_KEY) + scan_metadata_header: Final = ( + _serialize_scan_metadata_header(scan_metadata, max_length=MAX_GUARDRAIL_SCAN_METADATA_HEADER_LENGTH) + if isinstance(scan_metadata, (list, tuple)) + else None + ) + if scan_metadata_header: + headers["x-litellm-guardrail-scan-metadata"] = scan_metadata_header + if "applied_policies" in _metadata: headers["x-litellm-applied-policies"] = ",".join(_metadata["applied_policies"]) @@ -501,6 +533,7 @@ LITELLM_PROXY_INTERNAL_METADATA_KEYS: Final = frozenset( "applied_policies", "applied_guardrails", GUARDRAIL_SCAN_IDS_METADATA_KEY, + GUARDRAIL_SCAN_METADATA_METADATA_KEY, "policy_sources", "guardrails", "guardrail_config", @@ -565,21 +598,40 @@ def add_guardrail_to_applied_guardrails_header(request_data: dict, guardrail_nam _metadata["applied_guardrails"] = [guardrail_name] -def add_guardrail_scan_id(request_data: dict, scan_id: str | None) -> None: +def add_guardrail_scan_id( + request_data: dict[str, object], + scan_id: str | None, + *, + guardrail_name: str | None, + provider: str, + stage: GuardrailEventHooks, +) -> None: """ - Record a provider scan id so it can be surfaced to the caller. + Record a provider scan id, keyed to the guardrail execution that produced it, so it can be surfaced to the caller. Guardrails only return scan details to the client when they block, so allowed requests carry no - audit trail. Ids recorded here become the x-litellm-guardrail-scan-id response header. + audit trail. Ids recorded here become the x-litellm-guardrail-scan-id response header, and the + (guardrail, stage, provider, scan_id) entries become the x-litellm-guardrail-scan-metadata header. """ if not scan_id: return _, _metadata = get_or_create_metadata_bucket(request_data) existing: Final = _metadata.get(GUARDRAIL_SCAN_IDS_METADATA_KEY) - scan_ids: Final = tuple(existing) if isinstance(existing, (list, tuple)) else () + scan_ids: Final[tuple[object, ...]] = tuple(existing) if isinstance(existing, (list, tuple)) else () if scan_id not in scan_ids: _metadata[GUARDRAIL_SCAN_IDS_METADATA_KEY] = (*scan_ids, scan_id) + entry: Final[GuardrailScanMetadata] = { + "guardrail": guardrail_name, + "stage": stage.value, + "provider": provider, + "scan_id": scan_id, + } + existing_entries: Final = _metadata.get(GUARDRAIL_SCAN_METADATA_METADATA_KEY) + entries: Final[tuple[object, ...]] = tuple(existing_entries) if isinstance(existing_entries, (list, tuple)) else () + if entry not in entries: + _metadata[GUARDRAIL_SCAN_METADATA_METADATA_KEY] = (*entries, entry) + def add_policy_to_applied_policies_header(request_data: dict, policy_name: str | None): """ diff --git a/litellm/proxy/common_utils/openai_error_payload.py b/litellm/proxy/common_utils/openai_error_payload.py new file mode 100644 index 00000000000..89f735ee8b6 --- /dev/null +++ b/litellm/proxy/common_utils/openai_error_payload.py @@ -0,0 +1,52 @@ +"""Shapes the ``error`` object the proxy answers with so it matches OpenAI's contract: +``type`` is a required string and ``param`` is nullable, neither of which the literal +string ``"None"`` satisfies.""" + +from collections.abc import Mapping +from types import MappingProxyType +from typing import Final + +from fastapi import status + +_OPENAI_ERROR_TYPE_BY_STATUS: Final[Mapping[int, str]] = MappingProxyType( + { + status.HTTP_401_UNAUTHORIZED: "authentication_error", + status.HTTP_403_FORBIDDEN: "permission_error", + status.HTTP_429_TOO_MANY_REQUESTS: "rate_limit_error", + } +) + + +def attribute_of(value: object, name: str, default: object = None) -> object: + return getattr(value, name, default) + + +def error_status_code(exc: object, default: int) -> int: + """The HTTP status an exception carries as ``status_code`` or, the way ``ProxyException`` + stores it, as a stringified ``code``; ``default`` when it carries neither.""" + carried: Final = attribute_of(exc, "status_code") + if isinstance(carried, int) and not isinstance(carried, bool): + return carried + stringified: Final = attribute_of(exc, "code") + return int(stringified) if isinstance(stringified, str) and stringified.isdecimal() else default + + +def openai_error_type(exc: object, status_code: int) -> str: + """OpenAI types ``error.type`` as a required string, so an exception carrying none + falls back to the type its status code stands for.""" + carried: Final = attribute_of(exc, "type") + if isinstance(carried, str): + return carried + mapped: Final = _OPENAI_ERROR_TYPE_BY_STATUS.get(status_code) + if mapped is not None: + return mapped + if status_code < status.HTTP_500_INTERNAL_SERVER_ERROR: + return "invalid_request_error" + return "internal_server_error" + + +def openai_error_param(exc: object) -> str | None: + """OpenAI types ``error.param`` as nullable, so an exception carrying none + serializes as JSON ``null``.""" + carried: Final = attribute_of(exc, "param") + return carried if isinstance(carried, str) else None diff --git a/litellm/proxy/db/db_spend_update_writer.py b/litellm/proxy/db/db_spend_update_writer.py index 914c961b145..eaa03c5d7f7 100644 --- a/litellm/proxy/db/db_spend_update_writer.py +++ b/litellm/proxy/db/db_spend_update_writer.py @@ -1063,7 +1063,7 @@ class DBSpendUpdateWriter: await enqueue_spend_logs(prisma_client, (payload,)) if payload.get("call_type") in RESPONSES_SESSION_CALL_TYPES: - request_spend_log_flush() + request_spend_log_flush(prisma_client) else: verbose_proxy_logger.debug("prisma_client is None. Skipping writing spend logs to db.") diff --git a/litellm/proxy/db/db_url_settings.py b/litellm/proxy/db/db_url_settings.py index f28e505246a..d1e4b3e92b8 100644 --- a/litellm/proxy/db/db_url_settings.py +++ b/litellm/proxy/db/db_url_settings.py @@ -34,12 +34,20 @@ writer's connection params (pool size, timeouts, pgbouncer mode) for the ones the reader URL does not pin itself. """ +import _ssl +import hashlib import os +import socket +import ssl +import struct +import sys +import tempfile import urllib.parse -from collections.abc import Mapping +from collections.abc import Callable, Mapping, Sequence from functools import partial +from pathlib import Path from types import MappingProxyType -from typing import Annotated, Final, cast +from typing import Annotated, Final, Protocol, TypeAlias, cast from pydantic import AliasChoices, BeforeValidator, Field from pydantic_settings import BaseSettings, SettingsConfigDict @@ -64,6 +72,7 @@ DISABLE_PREPARED_STATEMENTS_ENV_VAR: Final = "DATABASE_DISABLE_PREPARED_STATEMEN DisablePreparedStatementsFlag = Annotated[ bool, BeforeValidator(partial(token_auth_flag_enabled, env_var=DISABLE_PREPARED_STATEMENTS_ENV_VAR)) ] +MAX_IDLE_CONNECTION_LIFETIME_ENV_VAR: Final = "DATABASE_MAX_IDLE_CONNECTION_LIFETIME" # schema.prisma pins `provider = "postgresql"`, so these are the only schemes # Prisma can actually connect with. @@ -125,21 +134,100 @@ def add_missing_query_params(url: str, params: Mapping[str, str | int | float]) LIBPQ_VERIFY_SSLMODES: Final[frozenset[str]] = frozenset({"verify-ca", "verify-full"}) +PEM_CERT_HEADER: Final = b"-----BEGIN CERTIFICATE-----" +PG_SSL_REQUEST: Final = struct.pack("!ii", 8, 80877103) +TLS_PROBE_TIMEOUT_SECONDS: Final = 10.0 + +RootCertResolver: TypeAlias = Callable[[str, str, int], str] # mutable-ok: Callable parameter syntax -def translate_libpq_ssl_params(url: str) -> str: +class _VerifiedChainSource(Protocol): + def get_verified_chain(self) -> Sequence[_ssl.Certificate] | None: ... + + +def _verified_chain_der(tls: ssl.SSLSocket) -> tuple[bytes, ...]: + if sys.version_info >= (3, 13): + return tuple(tls.get_verified_chain()) + legacy: Final = cast( # cast-ok: the stub omits _sslobj, the C object has get_verified_chain since 3.10 + "_VerifiedChainSource | None", + tls._sslobj, # pyright: ignore[reportAttributeAccessIssue, reportUnknownMemberType] # public API only from 3.13 + ) + chain: Final = () if legacy is None else legacy.get_verified_chain() or () + return tuple(cert.public_bytes(_ssl.ENCODING_DER) for cert in chain) + + +def _server_trust_anchor(cafile: str, host: str, port: int) -> bytes | None: + try: + context: Final = ssl.create_default_context(cafile=cafile) + with socket.create_connection((host, port), timeout=TLS_PROBE_TIMEOUT_SECONDS) as raw: + raw.sendall(PG_SSL_REQUEST) + if raw.recv(1) != b"S": + return None + with context.wrap_socket(raw, server_hostname=host) as tls: + chain: Final = _verified_chain_der(tls) + except (OSError, ValueError): + return None + return chain[-1] if chain else None + + +def pin_bundle_root(cert_path: str, host: str, port: int) -> str: + """Reduce a multi-root CA bundle to the one root that verifies ``host``. + + Prisma's ``sslcert`` loads a single PEM certificate (native-tls + ``Certificate::from_pem``), so pointing it at a bundle such as the AWS RDS + global bundle trusts only the first of its 108 regional roots and the + handshake fails with "unable to get local issuer certificate" for every + other region. A single-certificate file is returned as is. For a bundle, + one verifying handshake (chain and hostname, whole bundle as trust store) + identifies the trust anchor the server actually chains to, which is + written to a single-certificate file for Prisma. If the probe fails the + bundle path is returned unchanged, so Prisma fails closed exactly as + before rather than trusting anything the bundle would not. + """ + try: + if Path(cert_path).read_bytes().count(PEM_CERT_HEADER) < 2: + return cert_path + except OSError: + return cert_path + root: Final = _server_trust_anchor(cert_path, host, port) + if root is None: + return cert_path + pinned: Final = Path(tempfile.gettempdir()) / f"litellm-sslcert-{hashlib.sha256(root).hexdigest()[:16]}.pem" + return str(pinned) if _replace_file(pinned, ssl.DER_cert_to_PEM_cert(root)) else cert_path + + +def _replace_file(target: Path, content: str) -> bool: + """Write ``content`` to a private temp file and rename it over ``target``, so + readers never see a partial file and a symlink planted at ``target`` is + replaced rather than followed.""" + try: + fd, staged = tempfile.mkstemp(dir=target.parent, prefix=f"{target.name}.") + except OSError: + return False + try: + with os.fdopen(fd, "w") as handle: + handle.write(content) + os.replace(staged, target) + except OSError: + Path(staged).unlink(missing_ok=True) + return False + return True + + +def translate_libpq_ssl_params(url: str, resolve_root_cert: RootCertResolver = pin_bundle_root) -> str: """Rewrite libpq's certificate-verification params into Prisma's dialect. Prisma's engine only knows ``sslmode=disable|prefer|require``, ``sslcert`` - (the CA bundle) and ``sslaccept=strict``. It silently discards + (a single CA certificate) and ``sslaccept=strict``. It silently discards ``sslrootcert`` and downgrades ``sslmode=verify-ca`` / ``verify-full`` to ``prefer``, so a URL copied from libpq / RDS docs connects over TLS with no certificate check at all. ``verify-ca`` and ``verify-full`` both become ``require`` (Prisma has no CA-only mode), ``sslrootcert`` becomes - ``sslcert``, and either one turns on ``sslaccept=strict`` (chain and - hostname), matching libpq where a root cert makes ``require`` verify. - Prisma params the operator pinned themselves win; anything else is left - untouched. + ``sslcert`` (run through ``resolve_root_cert``, which pins a multi-root + bundle down to the server's root), and either one turns on + ``sslaccept=strict`` (chain and hostname), matching libpq where a root + cert makes ``require`` verify. Prisma params the operator pinned + themselves win; anything else is left untouched. """ parsed: Final = urllib.parse.urlsplit(url) pairs: Final = tuple(urllib.parse.parse_qsl(parsed.query, keep_blank_values=True)) @@ -153,7 +241,9 @@ def translate_libpq_ssl_params(url: str) -> str: if key != "sslrootcert" ) root_cert: Final = tuple( - ("sslcert", value) for key, value in pairs if key == "sslrootcert" and "sslcert" not in keys + ("sslcert", resolve_root_cert(value, parsed.hostname or "", parsed.port or int(DEFAULT_POSTGRES_PORT))) + for key, value in pairs + if key == "sslrootcert" and "sslcert" not in keys ) strict: Final = () if "sslaccept" in keys else (("sslaccept", "strict"),) query: Final = urllib.parse.urlencode(translated + root_cert + strict) @@ -217,6 +307,9 @@ class DatabaseURLSettings(BaseSettings): disable_prepared_statements: DisablePreparedStatementsFlag = Field( default=False, validation_alias=DISABLE_PREPARED_STATEMENTS_ENV_VAR ) + max_idle_connection_lifetime: int | None = Field( + default=None, validation_alias=MAX_IDLE_CONNECTION_LIFETIME_ENV_VAR + ) # Writer database_url: str | None = Field(default=None, validation_alias="DATABASE_URL") @@ -453,6 +546,12 @@ class DatabaseURLSettings(BaseSettings): if url: os.environ[env_var] = add_missing_query_params(url, MappingProxyType({"pgbouncer": "true"})) + lifetime_params: Final = idle_lifetime_params(self.max_idle_connection_lifetime) + for env_var in ("DATABASE_URL", "DIRECT_URL"): + url = os.environ.get(env_var) + if url: + os.environ[env_var] = add_missing_query_params(url, lifetime_params) + # The reader inherits the writer's connection params (pool size, timeouts, # pgbouncer mode). Without this the reader pool ignores the configured cap # and falls back to Prisma's `num_physical_cpus * 2 + 1` default. diff --git a/litellm/proxy/db/gateway_request_tracking.py b/litellm/proxy/db/gateway_request_tracking.py index bebd74e877c..c9ace68db33 100644 --- a/litellm/proxy/db/gateway_request_tracking.py +++ b/litellm/proxy/db/gateway_request_tracking.py @@ -10,13 +10,28 @@ strings rather than passing the raw path through. Nothing a caller sends can add a key, so the fold and the table it commits to are bounded by (days x routes) however much traffic arrives, and the response path carries no unbounded queue that would block once full. + +A flush commits its whole snapshot as one multi-row ``INSERT ... ON CONFLICT DO +UPDATE`` rather than one upsert per key, so a worker costs the primary one +statement per interval however many routes it served. With +``use_redis_transaction_buffer`` on, workers instead push their snapshot to a +Redis list and one lock-holding pod folds every entry and writes the table, so +the deployment as a whole costs the primary one statement per interval. """ -from dataclasses import asdict +import json +from collections.abc import AsyncIterator, Iterable from datetime import datetime, timezone -from typing import TYPE_CHECKING, Final +from itertools import chain +from types import MappingProxyType +from typing import TYPE_CHECKING, Final, TypeAlias + +from pydantic import TypeAdapter from litellm._logging import verbose_proxy_logger +from litellm.caching import RedisCache +from litellm.constants import MAX_REDIS_BUFFER_DEQUEUE_COUNT, REDIS_GATEWAY_REQUESTS_BUFFER_KEY +from litellm.proxy.db.db_transaction_queue.pod_lock_manager import PodLockManager from litellm.proxy.middleware.billable_request_metrics_middleware import BillableCategory from litellm.types.proxy.gateway_requests import ( GatewayRequestCounts, @@ -28,6 +43,15 @@ if TYPE_CHECKING: from litellm.proxy.utils import PrismaClient _EMPTY: Final = GatewayRequestCounts(successful_requests=0, failed_requests=0) +_TABLE: Final = '"LiteLLM_DailyGatewayRequests"' +_COLUMNS_PER_ROW: Final = 5 +_UTC_NOW: Final = "(NOW() AT TIME ZONE 'UTC')" +GATEWAY_REQUESTS_JOB_NAME: Final = "update_gateway_requests_job" + +_BufferedRows: TypeAlias = tuple[tuple[str, str, str, int, int], ...] +_BUFFERED_ROWS: Final = TypeAdapter(_BufferedRows) +_BUFFERED_ENTRIES: Final = TypeAdapter(tuple[str | bytes, ...]) +_NO_COUNTS: Final[GatewayRequestSnapshot] = MappingProxyType({}) def _utc_date() -> str: @@ -59,20 +83,54 @@ class GatewayRequestAccumulator: route) however long the database is unreachable. This buys at-least-once, not exactly-once, and the cost is worth stating. - The batch commits inside its context manager's ``__aexit__``, so a failure - raised after the transaction committed (a connection dropped while reading - the acknowledgement) restores counts that are already persisted, and the - next flush increments them a second time. Exactly-once would need a dedup - key the upserts could ignore on replay. For a traffic-volume metric a rare + The statement commits on the server before its acknowledgement is read, so + a failure raised after the commit (a connection dropped while reading the + acknowledgement) restores counts that are already persisted, and the next + flush increments them a second time. Exactly-once would need a dedup key + the upsert could ignore on replay. For a traffic-volume metric a rare overcount on a dropped acknowledgement beats losing a whole interval to every database blip, so the trade is deliberate. """ - for key, counts in snapshot.items(): - existing = self._counts.get(key, _EMPTY) - self._counts[key] = GatewayRequestCounts( - successful_requests=existing.successful_requests + counts.successful_requests, - failed_requests=existing.failed_requests + counts.failed_requests, - ) + self._counts = dict(fold_counts(chain(self._counts.items(), snapshot.items()))) # mutable-ok: fold replaced + + +def fold_counts(items: Iterable[tuple[GatewayRequestKey, GatewayRequestCounts]]) -> GatewayRequestSnapshot: + """Sum counts key-wise; the result stays bounded by (date x category x route).""" + folded: Final[dict[GatewayRequestKey, GatewayRequestCounts]] = {} # mutable-ok: local fold returned once + for key, counts in items: + existing = folded.get(key, _EMPTY) + folded[key] = GatewayRequestCounts( + successful_requests=existing.successful_requests + counts.successful_requests, + failed_requests=existing.failed_requests + counts.failed_requests, + ) + return folded + + +def build_gateway_requests_upsert(snapshot: GatewayRequestSnapshot) -> tuple[str, tuple[str | int, ...]]: + """ + One ``INSERT ... ON CONFLICT DO UPDATE`` that increments every (date, category, + route) in the snapshot. Rows are ordered by the conflict key so concurrent + writers lock rows in the same order and cannot deadlock. + """ + ordered: Final = sorted(snapshot.items(), key=lambda item: (item[0].date, item[0].category, item[0].route)) + rows: Final = ", ".join( + f"(${base + 1}::text, ${base + 2}::text, ${base + 3}::text, ${base + 4}::bigint, ${base + 5}::bigint, {_UTC_NOW})" + for base in range(0, len(ordered) * _COLUMNS_PER_ROW, _COLUMNS_PER_ROW) + ) + sql: Final = ( + f'INSERT INTO {_TABLE} ("date", "category", "route", "successful_requests", "failed_requests", "updated_at")\n' + f"VALUES {rows}\n" + 'ON CONFLICT ("date", "category", "route") DO UPDATE SET\n' + f' "successful_requests" = {_TABLE}."successful_requests" + EXCLUDED."successful_requests",\n' + f' "failed_requests" = {_TABLE}."failed_requests" + EXCLUDED."failed_requests",\n' + f' "updated_at" = {_UTC_NOW}' + ) + params: Final[tuple[str | int, ...]] = tuple( + value + for key, counts in ordered + for value in (key.date, key.category, key.route, counts.successful_requests, counts.failed_requests) + ) + return sql, params async def commit_gateway_requests_to_db( @@ -80,50 +138,130 @@ async def commit_gateway_requests_to_db( prisma_client: "PrismaClient", snapshot: GatewayRequestSnapshot, ) -> None: - """Upsert one incrementing row per (date, category, route).""" + """Increment every (date, category, route) in the snapshot with a single statement.""" if not snapshot: return - ordered: Final = sorted(snapshot.items(), key=lambda item: (item[0].date, item[0].category, item[0].route)) + sql, params = build_gateway_requests_upsert(snapshot) + await prisma_client.db.execute_raw(sql, *params) # pyright: ignore[reportAny] # untyped prisma client - # pyright: ignore[reportAny] on both lines -- prisma's generated client is untyped, - # so .db and every table action off it resolve to Any at this boundary. The dict - # literals below are the shape prisma's generated inputs require. - async with prisma_client.db.batch_() as batcher: # pyright: ignore[reportAny] # untyped prisma client - for key, counts in ordered: - columns = asdict(key) - batcher.litellm_dailygatewayrequests.upsert( # pyright: ignore[reportAny] # untyped prisma client - where={"date_category_route": columns}, # mutable-ok: prisma input is dict-shaped - data={ # mutable-ok: prisma input is dict-shaped - "create": { # mutable-ok: prisma input is dict-shaped - **columns, - "successful_requests": counts.successful_requests, - "failed_requests": counts.failed_requests, - }, - "update": { # mutable-ok: prisma input is dict-shaped - "successful_requests": {"increment": counts.successful_requests}, # mutable-ok: as above - "failed_requests": {"increment": counts.failed_requests}, # mutable-ok: as above - }, - }, + verbose_proxy_logger.debug( + "Gateway request tracking - committed %d aggregated rows in one statement", len(snapshot) + ) + + +class GatewayRequestRedisBuffer: + """ + Folds every worker's snapshot through one Redis list so a single pod per + interval writes the table, mirroring the spend writer's transaction buffer. + + Each entry is one worker's snapshot as JSON rows; the lock holder pops them, + sums them, and commits one statement. A commit failure pushes the summed + rows back so the next holder retries, keeping the at-least-once guarantee. + If that push fails too, the rows go back to the holder's own accumulator so + they ride along with its next flush instead of vanishing with the pop. + """ + + def __init__(self, *, redis_cache: RedisCache, pod_lock_manager: PodLockManager) -> None: + self._redis_cache: Final = redis_cache + self._pod_lock_manager: Final = pod_lock_manager + + async def push(self, snapshot: GatewayRequestSnapshot) -> None: + if not snapshot: + return + rows: Final[_BufferedRows] = tuple( + (key.date, key.category, key.route, counts.successful_requests, counts.failed_requests) + for key, counts in snapshot.items() + ) + await self._redis_cache.async_rpush(key=REDIS_GATEWAY_REQUESTS_BUFFER_KEY, values=(json.dumps(rows),)) + + async def _pop_batch(self) -> tuple[str | bytes, ...]: + popped: Final[object] = await self._redis_cache.async_lpop( # pyright: ignore[reportAny] # redis returns Any + key=REDIS_GATEWAY_REQUESTS_BUFFER_KEY, count=MAX_REDIS_BUFFER_DEQUEUE_COUNT + ) + if not popped: + return () + return _BUFFERED_ENTRIES.validate_python(popped if isinstance(popped, list) else (popped,)) + + async def _pop_all(self) -> AsyncIterator[str | bytes]: + while True: + batch = await self._pop_batch() + for entry in batch: + yield entry + if len(batch) < MAX_REDIS_BUFFER_DEQUEUE_COUNT: + return + + async def pop(self) -> GatewayRequestSnapshot: + entries: Final = tuple([entry async for entry in self._pop_all()]) + return fold_counts( + ( + GatewayRequestKey(date=date, category=category, route=route), + GatewayRequestCounts(successful_requests=succeeded, failed_requests=failed), ) + for entry in entries + for date, category, route, succeeded, failed in _BUFFERED_ROWS.validate_json(entry) + ) - verbose_proxy_logger.debug("Gateway request tracking - committed %d aggregated rows", len(ordered)) + async def commit_if_leader(self, prisma_client: "PrismaClient") -> GatewayRequestSnapshot: + """ + Drain the list and write it as one statement, but only on the pod holding the job lock. + + The lock is a lease, never released: the holder re-enters it on every flush and + keeps committing alone until the TTL lapses, so the primary sees one statement + per flush interval deployment-wide instead of one per worker. + + Returns the popped rows that could be neither committed nor re-queued, for the + caller to keep in memory. Empty on success. + """ + if not await self._pod_lock_manager.acquire_lock(cronjob_id=GATEWAY_REQUESTS_JOB_NAME): + return _NO_COUNTS + buffered: Final = await self.pop() + try: + await commit_gateway_requests_to_db(prisma_client=prisma_client, snapshot=buffered) + except Exception: # noqa: BLE001 -- a failed commit must not stop the scheduler + verbose_proxy_logger.warning( + "Gateway request tracking - failed to commit %d buffered rows, re-queuing to Redis for the next flush", + len(buffered), + exc_info=True, + ) + return await self._requeue(buffered) + return _NO_COUNTS + + async def _requeue(self, snapshot: GatewayRequestSnapshot) -> GatewayRequestSnapshot: + try: + await self.push(snapshot) + except Exception: # noqa: BLE001 -- the rows go back to the caller's accumulator instead + verbose_proxy_logger.warning( + "Gateway request tracking - Redis re-queue failed, keeping %d rows in memory for the next flush", + len(snapshot), + exc_info=True, + ) + return snapshot + return _NO_COUNTS async def flush_gateway_requests( prisma_client: "PrismaClient", accumulator: GatewayRequestAccumulator, + redis_buffer: GatewayRequestRedisBuffer | None = None, ) -> None: """ Scheduler entrypoint. Never raises: a metering failure must not kill the job. + With ``redis_buffer`` the snapshot goes to Redis and only the lease holder + writes to Postgres. Shutdown passes no buffer so a departing worker writes its + own counts directly instead of parking them behind a lease it may not hold. + ``CancelledError`` is deliberately not caught, so a flush cancelled during shutdown drops its snapshot rather than restoring counts onto an accumulator the process is about to discard. """ snapshot: Final = accumulator.drain() try: - await commit_gateway_requests_to_db(prisma_client=prisma_client, snapshot=snapshot) + if redis_buffer is None: + await commit_gateway_requests_to_db(prisma_client=prisma_client, snapshot=snapshot) + else: + await redis_buffer.push(snapshot) except Exception: # noqa: BLE001 -- a failed flush must not stop the scheduler accumulator.restore(snapshot) verbose_proxy_logger.warning( @@ -131,3 +269,13 @@ async def flush_gateway_requests( len(snapshot), exc_info=True, ) + return + if redis_buffer is None: + return + try: + accumulator.restore(await redis_buffer.commit_if_leader(prisma_client)) + except Exception: # noqa: BLE001 -- entries still in Redis are drained by the next flush + verbose_proxy_logger.warning( + "Gateway request tracking - leader drain failed, buffered rows stay in Redis for the next flush", + exc_info=True, + ) diff --git a/litellm/proxy/db/prisma_client.py b/litellm/proxy/db/prisma_client.py index 9ea2432f2f5..21b73f27a80 100644 --- a/litellm/proxy/db/prisma_client.py +++ b/litellm/proxy/db/prisma_client.py @@ -16,6 +16,7 @@ from datetime import datetime, timedelta from typing import Any, Final, Protocol from litellm._logging import verbose_proxy_logger +from litellm.proxy.db.db_url_settings import add_missing_query_params, connection_params_from_url from litellm.proxy.db.token_auth import ( DEFAULT_POSTGRES_PORT, DatabaseTokenAuth, @@ -438,7 +439,10 @@ class PrismaWrapper: return None endpoint: Final = self._iam_endpoint if self._iam_endpoint is not None else self._endpoint_from_env() - db_url: Final = endpoint.build_url(mint_database_token(auth, endpoint)) + db_url: Final = add_missing_query_params( + endpoint.build_url(mint_database_token(auth, endpoint)), + connection_params_from_url(os.environ.get(self._db_url_env_var, "")), + ) os.environ[self._db_url_env_var] = db_url return db_url diff --git a/litellm/proxy/guardrails/guardrail_hooks/openai/moderations.py b/litellm/proxy/guardrails/guardrail_hooks/openai/moderations.py index 10683550f85..c22d35509c1 100644 --- a/litellm/proxy/guardrails/guardrail_hooks/openai/moderations.py +++ b/litellm/proxy/guardrails/guardrail_hooks/openai/moderations.py @@ -17,7 +17,8 @@ from litellm.llms.custom_httpx.http_handler import ( get_async_httpx_client, httpxSpecialProvider, ) -from litellm.types.guardrails import GuardrailEventHooks +from litellm.proxy.common_utils.callback_utils import add_guardrail_scan_id +from litellm.types.guardrails import GuardrailEventHooks, SupportedGuardrailIntegrations from litellm.types.utils import ( GenericGuardrailAPIInputs, GuardrailStatus, @@ -218,6 +219,13 @@ class OpenAIModerationGuardrail(OpenAIGuardrailBase, CustomGuardrail): metadata: Final = request_data.get("metadata") or {} request_data["metadata"] = metadata metadata["_openai_moderation_response"] = moderation_response.model_dump() + add_guardrail_scan_id( + request_data=request_data, + scan_id=moderation_response.id, + guardrail_name=self.guardrail_name, + provider=SupportedGuardrailIntegrations.OPENAI_MODERATION.value, + stage=GuardrailEventHooks.post_call if input_type == "response" else GuardrailEventHooks.pre_call, + ) # Check if content is flagged and raise exception if needed self._check_moderation_result(moderation_response) diff --git a/litellm/proxy/guardrails/guardrail_hooks/panw_prisma_airs/panw_prisma_airs.py b/litellm/proxy/guardrails/guardrail_hooks/panw_prisma_airs/panw_prisma_airs.py index b73d3adb99e..3bc0dfabefc 100644 --- a/litellm/proxy/guardrails/guardrail_hooks/panw_prisma_airs/panw_prisma_airs.py +++ b/litellm/proxy/guardrails/guardrail_hooks/panw_prisma_airs/panw_prisma_airs.py @@ -721,10 +721,18 @@ class PanwPrismaAirsHandler(CustomGuardrail): } } - def _record_scan_id(self, request_data: dict[str, object], scan_result: Mapping[str, object]) -> None: + def _record_scan_id( + self, request_data: dict[str, object], scan_result: Mapping[str, object], stage: GuardrailEventHooks + ) -> None: """Surface the AIRS scan id on the response, so allowed calls are auditable too.""" scan_id: Final = scan_result.get("scan_id") - add_guardrail_scan_id(request_data=request_data, scan_id=str(scan_id) if scan_id else None) + add_guardrail_scan_id( + request_data=request_data, + scan_id=str(scan_id) if scan_id else None, + guardrail_name=self.guardrail_name, + provider=self._PROVIDER_NAME, + stage=stage, + ) def _handle_api_error_with_logging( self, @@ -948,7 +956,7 @@ class PanwPrismaAirsHandler(CustomGuardrail): event_type=GuardrailEventHooks.post_call, ) add_guardrail_to_applied_guardrails_header(request_data=request_data, guardrail_name=self.guardrail_name) - self._record_scan_id(request_data, scan_result) + self._record_scan_id(request_data, scan_result, GuardrailEventHooks.post_call) def _check_and_mark_scanned(self, data: dict, scan_type: str) -> bool: """ @@ -1078,7 +1086,7 @@ class PanwPrismaAirsHandler(CustomGuardrail): duration=(end_time - start_time).total_seconds(), event_type=GuardrailEventHooks.pre_call, ) - self._record_scan_id(data, scan_result) + self._record_scan_id(data, scan_result, GuardrailEventHooks.pre_call) action: Final = scan_result.get("action", "block") category: Final = scan_result.get("category", "unknown") @@ -1199,7 +1207,7 @@ class PanwPrismaAirsHandler(CustomGuardrail): duration=(end_time - start_time).total_seconds(), event_type=GuardrailEventHooks.post_call, ) - self._record_scan_id(data, scan_result) + self._record_scan_id(data, scan_result, GuardrailEventHooks.post_call) action: Final = scan_result.get("action", "block") category: Final = scan_result.get("category", "unknown") @@ -1401,7 +1409,7 @@ class PanwPrismaAirsHandler(CustomGuardrail): duration=(end_time - start_time).total_seconds(), event_type=GuardrailEventHooks.post_call, ) - self._record_scan_id(request_data, scan_result) + self._record_scan_id(request_data, scan_result, GuardrailEventHooks.post_call) # Add guardrail to applied guardrails header for observability add_guardrail_to_applied_guardrails_header( @@ -1475,7 +1483,11 @@ class PanwPrismaAirsHandler(CustomGuardrail): ) continue - self._record_scan_id(request_data, scan_result) + self._record_scan_id( + request_data, + scan_result, + GuardrailEventHooks.post_call if is_response else GuardrailEventHooks.pre_call, + ) action = scan_result.get("action", "block") masked_args = self._masked_tool_call_arguments( @@ -1829,7 +1841,11 @@ class PanwPrismaAirsHandler(CustomGuardrail): new_texts.append(text) continue - self._record_scan_id(request_data, scan_result) + self._record_scan_id( + request_data, + scan_result, + GuardrailEventHooks.post_call if is_response else GuardrailEventHooks.pre_call, + ) action = scan_result.get("action", "block") masked_text = self._get_masked_text(scan_result, is_response=is_response) @@ -1901,7 +1917,7 @@ class PanwPrismaAirsHandler(CustomGuardrail): ) # If we reach here, fallback_on_error="allow" else: - self._record_scan_id(request_data, mcp_scan_result) + self._record_scan_id(request_data, mcp_scan_result, GuardrailEventHooks.pre_call) action = mcp_scan_result.get("action", "block") masked_text = self._get_masked_text(mcp_scan_result, is_response=False) if action == "allow": diff --git a/litellm/proxy/image_endpoints/endpoints.py b/litellm/proxy/image_endpoints/endpoints.py index 06f99e4ae9c..3f044855ce8 100644 --- a/litellm/proxy/image_endpoints/endpoints.py +++ b/litellm/proxy/image_endpoints/endpoints.py @@ -20,6 +20,11 @@ from litellm.proxy.common_utils.http_parsing_utils import ( coerce_numeric_form_fields, numeric_form_fields, ) +from litellm.proxy.common_utils.openai_error_payload import ( + error_status_code, + openai_error_param, + openai_error_type, +) from litellm.proxy.route_llm_request import route_request from litellm.types.images.main import ImageEditRequestParams from litellm.types.llms.openai import ChatCompletionUserMessage @@ -200,18 +205,18 @@ async def image_generation( if isinstance(e, HTTPException): raise ProxyException( message=getattr(e, "message", str(e)), - type=getattr(e, "type", "None"), - param=getattr(e, "param", "None"), - code=getattr(e, "status_code", status.HTTP_400_BAD_REQUEST), + type=openai_error_type(e, error_status_code(e, status.HTTP_400_BAD_REQUEST)), + param=openai_error_param(e), + code=error_status_code(e, status.HTTP_400_BAD_REQUEST), ) else: error_msg: Final = f"{e}" raise ProxyException( message=getattr(e, "message", error_msg), - type=getattr(e, "type", "None"), - param=getattr(e, "param", "None"), + type=openai_error_type(e, error_status_code(e, 500)), + param=openai_error_param(e), openai_code=getattr(e, "code", None), - code=getattr(e, "status_code", 500), + code=error_status_code(e, 500), ) diff --git a/litellm/proxy/litellm_pre_call_utils.py b/litellm/proxy/litellm_pre_call_utils.py index 12798c92eba..3250ae5cca9 100644 --- a/litellm/proxy/litellm_pre_call_utils.py +++ b/litellm/proxy/litellm_pre_call_utils.py @@ -10,6 +10,7 @@ from types import MappingProxyType from typing import TYPE_CHECKING, Any, Final, cast from fastapi import HTTPException, Request +from pydantic import TypeAdapter from pydantic import ValidationError as PydanticValidationError from starlette.datastructures import Headers @@ -28,6 +29,7 @@ from litellm.constants import ( SESSION_DEPLOYMENT_AFFINITY_TTL_METADATA_KEY, SESSION_ID_GENERATED_METADATA_KEY, SESSION_ID_OMITTED_METADATA_KEY, + X_LITELLM_DISABLE_CALLBACKS, ) from litellm.litellm_core_utils.credential_accessor import CredentialAccessor from litellm.litellm_core_utils.initialize_dynamic_callback_params import ( @@ -159,6 +161,7 @@ from litellm.types.utils import ( CustomPricingLiteLLMParams, LlmProviders, ProviderSpecificHeader, + StandardCallbackDynamicParams, StandardLoggingUserAPIKeyMetadata, SupportedCacheControls, ) @@ -172,6 +175,7 @@ _ENABLE_TEAM_STALE_ALIAS_BYPASS: bool | None = None if TYPE_CHECKING: + from litellm.integrations.otel.model.destination import OtelDestination from litellm.proxy.proxy_server import ProxyConfig as _ProxyConfig from litellm.types.proxy.policy_engine import Policy, PolicyMatchContext @@ -231,6 +235,7 @@ _UNTRUSTED_ROOT_CONTROL_FIELDS: Final = ( "applied_policies", "policy_sources", "guardrail_scan_ids", + "guardrail_scan_metadata", "routing_decision", GATEWAY_INJECTED_CACHE_METADATA_KEY, "pillar_response_headers", @@ -287,6 +292,7 @@ _UNTRUSTED_METADATA_CONTROL_FIELDS: Final = ( "applied_policies", "policy_sources", "guardrail_scan_ids", + "guardrail_scan_metadata", "routing_decision", GATEWAY_INJECTED_CACHE_METADATA_KEY, SESSION_DEPLOYMENT_AFFINITY_TTL_METADATA_KEY, @@ -975,6 +981,145 @@ def _get_dynamic_logging_metadata( return callback_settings_obj +_TENANT_OTEL_PARAMS: Final = TypeAdapter(StandardCallbackDynamicParams) + + +def _tenant_otel_params(callback_vars: Mapping[str, str]) -> StandardCallbackDynamicParams: + try: + return _TENANT_OTEL_PARAMS.validate_python(callback_vars) + except PydanticValidationError: + return StandardCallbackDynamicParams() + + +_NO_REQUEST_HEADERS: Final[Mapping[str, str]] = MappingProxyType({}) + + +def _dynamically_disabled_backends( + user_api_key_dict: UserAPIKeyAuth, + request_headers: Mapping[str, str] | None, +) -> frozenset[str]: + """The callbacks this request turned off, read the way dispatch reads them. + + Same sources, precedence, and premium gate ``EnterpriseCallbackControls`` applies + before it skips a callback: the ``x-litellm-disable-callbacks`` header wins over the + key's stored list, team settings are not a source, and a non-premium proxy honours + neither. A destination has to agree with that decision, or a backend the key turned + off would still be exported to, now through the fan-out instead of the callback. + """ + from litellm.proxy.proxy_server import premium_user + + if litellm.allow_dynamic_callback_disabling is not True or not premium_user: + return frozenset() + header: Final = (request_headers if request_headers is not None else _NO_REQUEST_HEADERS).get( + X_LITELLM_DISABLE_CALLBACKS + ) + if header is not None: + return frozenset(name.strip().lower() for name in header.split(",")) + metadata: Final = user_api_key_dict.metadata + disabled: Final = metadata.get("litellm_disabled_callbacks") if metadata else None + if not isinstance(disabled, list): + return frozenset() + return frozenset(name.lower() for name in disabled if isinstance(name, str)) + + +def resolve_tenant_otel_destinations( + user_api_key_dict: UserAPIKeyAuth, + request_headers: Mapping[str, str] | None = None, +) -> "tuple[OtelDestination, ...]": + """The OTLP destinations this request's key or team config overrides its traces to. + + Key settings win over team settings outright, the same precedence + ``_get_dynamic_logging_metadata`` applies, so one caller never exports the same + backend to two accounts. An empty key-level list counts as configured, since that + is what disabling a key's callbacks writes. Returns empty when OTEL V2 is off, when + neither level named a destination-capable backend, or when the config is + incomplete, and the request then keeps the operator's own exporters. + + Two entries naming the same backend merge their ``callback_vars`` last-wins, the + way ``convert_key_logging_metadata_to_callback`` merges them, so the destination + and the per-request tracer routing cannot read one config two ways. + + A ``failure``-only entry is skipped: a destination is resolved during auth, before + the request has an outcome, so honouring the filter would mean holding every span + back until the call finishes. Those entries keep today's behaviour instead, where + the tenant's credentials reach the backend through per-request tracer routing and + the operator's exporter is left alone. Its ``callback_vars`` still take part in the + merge for a backend another entry made eligible, so the destination carries the + same credentials the runtime parser resolves for that request. + + A backend the request disabled dynamically, through the key's + ``litellm_disabled_callbacks`` or the ``x-litellm-disable-callbacks`` header in + ``request_headers``, resolves to no destination, so the fan-out never carries the + request tree to that account and the operator's exporter is never suppressed for + it. That leaves the request exactly where it stood before destinations existed: + the OTel V2 logger itself is not on the disable list's class registry, so its own + span still routes to the tenant's credentials the way it did then. + """ + from litellm.integrations.otel.model.config import is_otel_v2_enabled + from litellm.integrations.otel.presets.destinations import destination_for + + if not is_otel_v2_enabled(): + return () + key_entries: Final = KeyAndTeamLoggingSettings.get_key_dynamic_logging_settings(user_api_key_dict) + entries: Final = ( + key_entries + if key_entries is not None + else KeyAndTeamLoggingSettings.get_team_dynamic_logging_settings(user_api_key_dict) + ) + if not entries: + return () + disabled: Final = _dynamically_disabled_backends(user_api_key_dict, request_headers) + callbacks: Final = tuple( + callback + for item in entries + if (callback := _get_validated_callback_metadata(item=item, source="otel-destination")) is not None + if callback.callback_name.lower() not in disabled + ) + return tuple( + destination + for name in dict.fromkeys( + callback.callback_name for callback in callbacks if callback.callback_type != "failure" + ) + if ( + destination := destination_for( + name, + _tenant_otel_params( + MappingProxyType( + { + var: value + for callback in callbacks + if callback.callback_name == name + for var, value in callback.callback_vars.items() + } + ) + ), + _tenant_service_name(user_api_key_dict), + ) + ) + is not None + ) + + +def _tenant_service_name(user_api_key_dict: UserAPIKeyAuth) -> str | None: + """The ``service.name`` this key or team configured, the key winning over its team. + + Same fields and same precedence the request-metadata build applies, read straight + off the auth object because destinations resolve during auth, before that metadata + is assembled. + """ + sources: Final = (user_api_key_dict.metadata, user_api_key_dict.team_metadata) + return next( + ( + stripped + for source in sources + if source + for field in OTEL_SERVICE_NAME_METADATA_KEYS + if isinstance(value := source.get(field), str) and (stripped := value.strip()) + ), + None, + ) + + def clean_headers( headers: Headers, litellm_key_header_name: str | None = None, diff --git a/litellm/proxy/management_endpoints/common_daily_activity.py b/litellm/proxy/management_endpoints/common_daily_activity.py index ce6a97708ab..a8aef30107c 100644 --- a/litellm/proxy/management_endpoints/common_daily_activity.py +++ b/litellm/proxy/management_endpoints/common_daily_activity.py @@ -14,6 +14,7 @@ from litellm.proxy._types import CommonProxyErrors from litellm.proxy.spend_tracking.key_metadata_recovery import ( attach_user_emails, recover_double_hashed_key_metadata, + recover_key_metadata_from_spend_logs, ) from litellm.proxy.spend_tracking.ptu_feature_flag import is_ptu_cost_attribution_enabled from litellm.proxy.utils import PrismaClient @@ -433,9 +434,29 @@ def update_breakdown_metrics( return breakdown +def _spend_logs_window(dates: AbstractSet[str | None]) -> tuple[datetime, datetime] | None: + parsed: Final = sorted(day for day in (_parse_spend_date(raw) for raw in dates) if day is not None) + if not parsed: + return None + return (parsed[0] - timedelta(days=1), parsed[-1] + timedelta(days=2)) + + +def _parse_spend_date(raw: str | None) -> datetime | None: + if not isinstance(raw, str): + return None + try: + return datetime.fromisoformat(raw) + except ValueError: + return None + + +_EMPTY_KEY_METADATA: Final[Mapping[str, _KeyMetadataDict]] = MappingProxyType({}) + + async def get_api_key_metadata( prisma_client: PrismaClient, api_keys: AbstractSet[str], + spend_logs_window: tuple[datetime, datetime] | None = None, ) -> Mapping[str, _KeyMetadataDict]: """Get api key metadata, falling back to deleted keys table for keys not found in active table. @@ -481,11 +502,17 @@ async def get_api_key_metadata( ) still_missing: Final = api_keys - frozenset(result) - combined: Final = ( - result - if not still_missing - else MappingProxyType({**result, **(await recover_double_hashed_key_metadata(prisma_client, still_missing))}) + from_reverse_hash: Final = ( + await recover_double_hashed_key_metadata(prisma_client, still_missing) if still_missing else _EMPTY_KEY_METADATA ) + after_token_recovery: Final = MappingProxyType({**result, **from_reverse_hash}) + unresolved: Final = api_keys - frozenset(after_token_recovery) + from_spend_logs: Final = ( + await recover_key_metadata_from_spend_logs(prisma_client, unresolved, spend_logs_window) + if unresolved and spend_logs_window is not None + else _EMPTY_KEY_METADATA + ) + combined: Final = MappingProxyType({**after_token_recovery, **from_spend_logs}) return await attach_user_emails(prisma_client, combined) @@ -898,7 +925,9 @@ async def _aggregate_spend_records( api_key_metadata: dict[str, _KeyMetadataDict] = {} if api_keys: - api_key_metadata = await get_api_key_metadata(prisma_client, api_keys) + api_key_metadata = await get_api_key_metadata( + prisma_client, api_keys, _spend_logs_window(frozenset(record.date for record in records)) + ) return await asyncio.to_thread( _aggregate_spend_records_sync, @@ -1094,7 +1123,9 @@ async def _aggregate_grouping_sets_records( api_key_metadata: dict[str, _KeyMetadataDict] = {} if api_keys: - api_key_metadata = await get_api_key_metadata(prisma_client, api_keys) + api_key_metadata = await get_api_key_metadata( + prisma_client, api_keys, _spend_logs_window(frozenset(r.date for r in records)) + ) return await asyncio.to_thread( _aggregate_grouping_sets_records_sync, @@ -1357,7 +1388,9 @@ async def get_daily_activity_aggregated( r.api_key for r in entity_records if r.api_key and r.api_key != PTU_SENTINEL_API_KEY ) entity_key_metadata: Final = ( - await get_api_key_metadata(prisma_client, entity_api_keys) + await get_api_key_metadata( + prisma_client, entity_api_keys, _spend_logs_window(frozenset(r.date for r in entity_records)) + ) if entity_api_keys else {} # mutable-ok: matches the helper's dict return ) diff --git a/litellm/proxy/management_endpoints/cost_tracking_settings.py b/litellm/proxy/management_endpoints/cost_tracking_settings.py index 204051c3715..dc0da63555f 100644 --- a/litellm/proxy/management_endpoints/cost_tracking_settings.py +++ b/litellm/proxy/management_endpoints/cost_tracking_settings.py @@ -18,6 +18,7 @@ from fastapi import APIRouter, Depends, HTTPException from pydantic import BaseModel import litellm +from litellm._internal_context import current_billing_time, pinned_billing_time from litellm._logging import verbose_proxy_logger from litellm.cost_calculator import completion_cost from litellm.proxy._types import ( @@ -27,7 +28,15 @@ from litellm.proxy._types import ( UserAPIKeyAuth, ) from litellm.proxy.auth.user_api_key_auth import user_api_key_auth -from litellm.types.utils import CostPerToken, LlmProvidersSet, ModelInfo +from litellm.types.utils import ( + CostBreakdown, + CostPerToken, + LlmProvidersSet, + ModelInfo, + ModelResponse, + PromptTokensDetailsWrapper, + Usage, +) router: Final = APIRouter() @@ -46,13 +55,15 @@ def _configured_price(key: str, sources: tuple[Mapping[str, object], ...]) -> fl def _extract_custom_pricing( - litellm_params: Mapping[str, object], model_info: Mapping[str, object] + litellm_params: Mapping[str, object], model_info: Mapping[str, object], builtin: ModelInfo | None ) -> CostPerToken | None: """ Pull per-token pricing configured on a deployment so on-prem / self-hosted models (absent from the public cost map) still estimate a real cost. Pricing may live on ``litellm_params`` or ``model_info``; ``litellm_params`` - wins, matching the router's cost-map registration precedence. + wins, matching the router's cost-map registration precedence. Cache rates the + deployment leaves unset come from the backend model's built-in entry, then its + own input rate, again matching what the router registers for live billing. """ sources: Final = (litellm_params, model_info) input_price: Final = _configured_price("input_cost_per_token", sources) @@ -61,15 +72,21 @@ def _extract_custom_pricing( if input_price is None and output_price is None: return None + input_rate: Final = input_price or 0.0 + cache_sources: Final = sources if builtin is None else (*sources, builtin) + cache_read_price: Final = _configured_price("cache_read_input_token_cost", cache_sources) + cache_creation_price: Final = _configured_price("cache_creation_input_token_cost", cache_sources) return CostPerToken( - input_cost_per_token=input_price or 0.0, + input_cost_per_token=input_rate, output_cost_per_token=output_price or 0.0, + cache_read_input_token_cost=input_rate if cache_read_price is None else cache_read_price, + cache_creation_input_token_cost=input_rate if cache_creation_price is None else cache_creation_price, ) -def _lookup_model_info(model: str) -> ModelInfo | None: +def _lookup_model_info(model: str, custom_llm_provider: str | None = None) -> ModelInfo | None: try: - return litellm.get_model_info(model=model) + return litellm.get_model_info(model=model, custom_llm_provider=custom_llm_provider) except Exception: return None @@ -98,17 +115,14 @@ def _resolve_model_for_cost_lookup(model: str) -> ResolvedCostModel: model_info: Final = first_deployment.get("model_info", {}) custom_llm_provider: Final = litellm_params.get("custom_llm_provider") provider: Final = str(custom_llm_provider) if custom_llm_provider is not None else None - custom_cost_per_token: Final = _extract_custom_pricing(litellm_params, model_info) - - # Check base_model first (needed for Azure custom deployment names) + # base_model wins (needed for Azure custom deployment names) base_model: Final = model_info.get("base_model") or litellm_params.get("base_model") - if base_model: - verbose_proxy_logger.debug("Resolved model '%s' to base_model '%s' from router", model, base_model) - return ResolvedCostModel(str(base_model), provider, custom_cost_per_token) - - resolved_model: Final = litellm_params.get("model") + resolved_model: Final = base_model or litellm_params.get("model") if resolved_model: verbose_proxy_logger.debug("Resolved model '%s' to '%s' from router", model, resolved_model) + custom_cost_per_token: Final = _extract_custom_pricing( + litellm_params, model_info, _lookup_model_info(str(resolved_model), provider) + ) return ResolvedCostModel(str(resolved_model), provider, custom_cost_per_token) except Exception as e: verbose_proxy_logger.debug("Could not resolve model '%s' from router: %s", model, e) @@ -117,19 +131,59 @@ def _resolve_model_for_cost_lookup(model: str) -> ResolvedCostModel: return ResolvedCostModel(model, None, None) -def _calculate_period_costs(num_requests, cost_per_request, input_cost, output_cost, margin_cost): - """ - Calculate costs for a given number of requests. +@dataclass(frozen=True, slots=True) +class CostLines: + """Cost of one request split the way the spend logs split it: the cache lines are + shares of input_cost and the reasoning line is a share of output_cost.""" - Returns tuple of (total_cost, input_cost, output_cost, margin_cost) or all None if num_requests is None/0. - """ - if not num_requests: - return None, None, None, None - return ( - cost_per_request * num_requests, - input_cost * num_requests, - output_cost * num_requests, - margin_cost * num_requests, + total_cost: float + input_cost: float + output_cost: float + margin_cost: float + cache_read_cost: float + cache_creation_cost: float + reasoning_cost: float + + def times(self, num_requests: int | None) -> "CostLines | None": + if not num_requests: + return None + return CostLines( + total_cost=self.total_cost * num_requests, + input_cost=self.input_cost * num_requests, + output_cost=self.output_cost * num_requests, + margin_cost=self.margin_cost * num_requests, + cache_read_cost=self.cache_read_cost * num_requests, + cache_creation_cost=self.cache_creation_cost * num_requests, + reasoning_cost=self.reasoning_cost * num_requests, + ) + + +def _cost_lines(cost_per_request: float, cost_breakdown: CostBreakdown | None) -> CostLines: + breakdown: Final = cost_breakdown if cost_breakdown is not None else CostBreakdown() + return CostLines( + total_cost=cost_per_request, + input_cost=breakdown.get("input_cost", 0.0), + output_cost=breakdown.get("output_cost", 0.0), + margin_cost=breakdown.get("margin_total_amount", 0.0), + cache_read_cost=breakdown.get("cache_read_cost", 0.0), + cache_creation_cost=breakdown.get("cache_creation_cost", 0.0), + reasoning_cost=breakdown.get("reasoning_cost", 0.0), + ) + + +def _usage_for_estimate(request: CostEstimateRequest) -> Usage: + cache_tokens: Final = request.cache_read_input_tokens + request.cache_creation_input_tokens + return Usage( + prompt_tokens=request.input_tokens, + completion_tokens=request.output_tokens, + total_tokens=request.input_tokens + request.output_tokens, + reasoning_tokens=request.reasoning_tokens, + prompt_tokens_details=PromptTokensDetailsWrapper( + cached_tokens=request.cache_read_input_tokens, + cache_creation_tokens=request.cache_creation_input_tokens, + ) + if cache_tokens + else None, ) @@ -530,11 +584,14 @@ async def estimate_cost( - model: Model name (e.g., "gpt-4", "claude-3-opus") - input_tokens: Expected input tokens per request - output_tokens: Expected output tokens per request + - cache_read_input_tokens: Cache-read tokens per request, counted within input_tokens (optional) + - cache_creation_input_tokens: Cache-write tokens per request, counted within input_tokens (optional) + - reasoning_tokens: Reasoning tokens per request, counted within output_tokens (optional) - num_requests_per_day: Number of requests per day (optional) - num_requests_per_month: Number of requests per month (optional) Returns cost breakdown including: - - Per-request costs (input, output, margin) + - Per-request costs (input, output, margin, plus the cache-read, cache-write and reasoning shares) - Daily costs (if num_requests_per_day provided) - Monthly costs (if num_requests_per_month provided) @@ -543,14 +600,15 @@ async def estimate_cost( { "model": "gpt-4", "input_tokens": 1000, + "cache_read_input_tokens": 800, "output_tokens": 500, + "reasoning_tokens": 200, "num_requests_per_day": 100, "num_requests_per_month": 3000 } ``` """ from litellm.litellm_core_utils.litellm_logging import Logging as LiteLLMLoggingObj - from litellm.types.utils import ModelResponse, Usage # Resolve model name (handles router aliases like 'e-model-router' -> 'azure_ai/gpt-4') resolved: Final = _resolve_model_for_cost_lookup(request.model) @@ -559,15 +617,8 @@ async def estimate_cost( verbose_proxy_logger.debug("Cost estimate: request.model='%s' resolved to '%s'", request.model, resolved_model) - # Create a mock response with usage for completion_cost - mock_response: Final = ModelResponse( - model=resolved_model, - usage=Usage( - prompt_tokens=request.input_tokens, - completion_tokens=request.output_tokens, - total_tokens=request.input_tokens + request.output_tokens, - ), - ) + usage: Final = _usage_for_estimate(request) + mock_response: Final = ModelResponse(model=resolved_model, usage=usage) # Create a logging object to capture cost breakdown litellm_logging_obj: Final = LiteLLMLoggingObj( @@ -580,92 +631,73 @@ async def estimate_cost( function_id="cost-estimate", ) - # Use completion_cost which handles all the logic including margins/discounts - try: - cost_per_request: Final = completion_cost( - completion_response=mock_response, - model=resolved_model, - custom_llm_provider=resolved_provider, - custom_cost_per_token=resolved.custom_cost_per_token, - litellm_logging_obj=litellm_logging_obj, - ) - except Exception as e: - raise HTTPException( - status_code=404, - detail={ - "error": f"Could not calculate cost for model '{request.model}' (resolved to '{resolved_model}'): {e}" - }, - ) + # Pinning one moment keeps an off-peak window that opens mid-quote from pricing the totals on + # one side of it and the reported rates on the other. + with pinned_billing_time(current_billing_time()): + # Use completion_cost which handles all the logic including margins/discounts + try: + cost_per_request: Final = completion_cost( + completion_response=mock_response, + model=resolved_model, + custom_llm_provider=resolved_provider, + custom_cost_per_token=resolved.custom_cost_per_token, + litellm_logging_obj=litellm_logging_obj, + ) + except Exception as e: # noqa: BLE001 # completion_cost raises a bare Exception for an unpriceable model + raise HTTPException( + status_code=404, + detail={ + "error": f"Could not calculate cost for model '{request.model}' (resolved to '{resolved_model}'): {e}" + }, + ) - # Get cost breakdown from the logging object - cost_breakdown: Final = litellm_logging_obj.cost_breakdown + # The rates come back from the pricing call itself rather than a second lookup, so they are the + # ones the cost lines above billed at even when completion_cost infers a provider this endpoint + # never resolved (an unrouted "xai/grok-4" prices on xai's inclusive tier thresholds; a lookup + # here without that provider would report the sub-200k rate for a line billed above it). + rates: Final = litellm_logging_obj.billed_token_rates + per_request: Final = _cost_lines(cost_per_request, litellm_logging_obj.cost_breakdown) + daily: Final = per_request.times(request.num_requests_per_day) + monthly: Final = per_request.times(request.num_requests_per_month) - input_cost: Final = cost_breakdown.get("input_cost", 0.0) if cost_breakdown else 0.0 - output_cost: Final = cost_breakdown.get("output_cost", 0.0) if cost_breakdown else 0.0 - margin_cost: Final = cost_breakdown.get("margin_total_amount", 0.0) if cost_breakdown else 0.0 - - model_info: Final = _lookup_model_info(resolved_model) - mapped_input_price: Final = model_info.get("input_cost_per_token") if model_info is not None else None - mapped_output_price: Final = model_info.get("output_cost_per_token") if model_info is not None else None + model_info: Final = _lookup_model_info(resolved_model, resolved_provider) mapped_provider: Final = model_info.get("litellm_provider") if model_info is not None else None - - input_cost_per_token: Final = ( - resolved.custom_cost_per_token["input_cost_per_token"] - if resolved.custom_cost_per_token is not None - else mapped_input_price - ) - output_cost_per_token: Final = ( - resolved.custom_cost_per_token["output_cost_per_token"] - if resolved.custom_cost_per_token is not None - else mapped_output_price - ) custom_llm_provider: Final = mapped_provider if mapped_provider is not None else resolved_provider - # Calculate daily and monthly costs - ( - daily_cost, - daily_input_cost, - daily_output_cost, - daily_margin_cost, - ) = _calculate_period_costs( - num_requests=request.num_requests_per_day, - cost_per_request=cost_per_request, - input_cost=input_cost, - output_cost=output_cost, - margin_cost=margin_cost, - ) - ( - monthly_cost, - monthly_input_cost, - monthly_output_cost, - monthly_margin_cost, - ) = _calculate_period_costs( - num_requests=request.num_requests_per_month, - cost_per_request=cost_per_request, - input_cost=input_cost, - output_cost=output_cost, - margin_cost=margin_cost, - ) - return CostEstimateResponse( model=request.model, input_tokens=request.input_tokens, output_tokens=request.output_tokens, + cache_read_input_tokens=request.cache_read_input_tokens, + cache_creation_input_tokens=request.cache_creation_input_tokens, + reasoning_tokens=request.reasoning_tokens, num_requests_per_day=request.num_requests_per_day, num_requests_per_month=request.num_requests_per_month, - cost_per_request=cost_per_request, - input_cost_per_request=input_cost, - output_cost_per_request=output_cost, - margin_cost_per_request=margin_cost, - daily_cost=daily_cost, - daily_input_cost=daily_input_cost, - daily_output_cost=daily_output_cost, - daily_margin_cost=daily_margin_cost, - monthly_cost=monthly_cost, - monthly_input_cost=monthly_input_cost, - monthly_output_cost=monthly_output_cost, - monthly_margin_cost=monthly_margin_cost, - input_cost_per_token=input_cost_per_token, - output_cost_per_token=output_cost_per_token, + cost_per_request=per_request.total_cost, + input_cost_per_request=per_request.input_cost, + output_cost_per_request=per_request.output_cost, + margin_cost_per_request=per_request.margin_cost, + cache_read_cost_per_request=per_request.cache_read_cost, + cache_creation_cost_per_request=per_request.cache_creation_cost, + reasoning_cost_per_request=per_request.reasoning_cost, + daily_cost=daily.total_cost if daily is not None else None, + daily_input_cost=daily.input_cost if daily is not None else None, + daily_output_cost=daily.output_cost if daily is not None else None, + daily_margin_cost=daily.margin_cost if daily is not None else None, + daily_cache_read_cost=daily.cache_read_cost if daily is not None else None, + daily_cache_creation_cost=daily.cache_creation_cost if daily is not None else None, + daily_reasoning_cost=daily.reasoning_cost if daily is not None else None, + monthly_cost=monthly.total_cost if monthly is not None else None, + monthly_input_cost=monthly.input_cost if monthly is not None else None, + monthly_output_cost=monthly.output_cost if monthly is not None else None, + monthly_margin_cost=monthly.margin_cost if monthly is not None else None, + monthly_cache_read_cost=monthly.cache_read_cost if monthly is not None else None, + monthly_cache_creation_cost=monthly.cache_creation_cost if monthly is not None else None, + monthly_reasoning_cost=monthly.reasoning_cost if monthly is not None else None, + input_cost_per_token=rates.input_cost_per_token if rates is not None else None, + output_cost_per_token=rates.output_cost_per_token if rates is not None else None, + cache_read_input_token_cost=rates.cache_read_input_token_cost if rates is not None else None, + cache_creation_input_token_cost=rates.cache_creation_input_token_cost if rates is not None else None, + output_cost_per_reasoning_token=rates.output_cost_per_reasoning_token if rates is not None else None, provider=custom_llm_provider, ) diff --git a/litellm/proxy/management_endpoints/mcp_management_endpoints.py b/litellm/proxy/management_endpoints/mcp_management_endpoints.py index d5c3427f29a..2aa7fdc7393 100644 --- a/litellm/proxy/management_endpoints/mcp_management_endpoints.py +++ b/litellm/proxy/management_endpoints/mcp_management_endpoints.py @@ -2673,6 +2673,8 @@ if MCP_AVAILABLE: """ Updates the MCP Server in the db. + Partial update: a field left out of the payload keeps its stored value, and a field sent as null is cleared. + Parameters: - payload: UpdateMCPServerRequest - Required. The updated mcp server data. ``` @@ -3098,6 +3100,8 @@ if MCP_AVAILABLE: user_api_key_dict: UserAPIKeyAuth = Depends(user_api_key_auth), litellm_changed_by: str | None = Header(None), ): + """Partial update: a field left out keeps its stored value, and a field sent as null is cleared, except + ``toolset_name`` and ``tools``, which a toolset always has; empty the tool selection with an explicit [].""" prisma_client: Final = get_prisma_client_or_throw("Database not connected. Connect a database to your proxy") if LitellmUserRoles.PROXY_ADMIN != user_api_key_dict.user_role: raise HTTPException( diff --git a/litellm/proxy/management_endpoints/team_callback_endpoints.py b/litellm/proxy/management_endpoints/team_callback_endpoints.py index fe658a13c24..1932e89717b 100644 --- a/litellm/proxy/management_endpoints/team_callback_endpoints.py +++ b/litellm/proxy/management_endpoints/team_callback_endpoints.py @@ -20,6 +20,7 @@ from litellm.proxy._types import ( LiteLLM_AuditLogs, LiteLLM_TeamTable, LitellmTableNames, + LitellmUserRoles, ProxyErrorTypes, ProxyException, TeamCallbackDeleteResponse, @@ -28,7 +29,10 @@ from litellm.proxy._types import ( UserAPIKeyAuth, ) from litellm.proxy.auth.user_api_key_auth import user_api_key_auth -from litellm.proxy.common_utils.callback_config_validation import callback_config_error +from litellm.proxy.common_utils.callback_config_validation import ( + callback_config_error, + cross_entry_family_error, +) from litellm.proxy.common_utils.callback_utils import ( _CALLBACK_VAR_ENCRYPTED_PREFIX, decrypt_callback_vars, @@ -230,6 +234,22 @@ def _callback_error(status_code: int, message: str) -> HTTPException: ) +def _unknown_team_error(team_id: str, user_api_key_dict: UserAPIKeyAuth, status_code: int) -> HTTPException: + """Report an unknown team without telling an unauthorized caller that it is unknown. + + These routes are reachable by any authenticated caller so that a team admin can + get as far as _verify_team_access. A distinct "does not exist" would therefore let + any valid key probe which team ids exist, so a caller who could not have managed + the team either way gets the same 403 body _verify_team_access raises. + """ + if user_api_key_dict.user_role == LitellmUserRoles.PROXY_ADMIN: + return _callback_error(status_code, f"Team id = {team_id} does not exist.") + return HTTPException( + status_code=status.HTTP_403_FORBIDDEN, + detail="You do not have access to this team", + ) + + @router.post( "/team/{team_id:path}/callback", tags=["team management"], @@ -304,10 +324,7 @@ async def add_team_callbacks( # Check if team_id exists already _existing_team = await prisma_client.get_data(team_id=team_id, table_name="team", query_type="find_unique") if _existing_team is None: - raise HTTPException( - status_code=400, - detail={"error": f"Team id = {team_id} does not exist. Please use a different team id."}, - ) + raise _unknown_team_error(team_id, user_api_key_dict, status.HTTP_400_BAD_REQUEST) # IDOR guard: only proxy admins / org admins / team admins of THIS # team may write callback credentials. Without this, any @@ -326,6 +343,28 @@ async def add_team_callbacks( if team_callback_settings is None or not isinstance(team_callback_settings, list): team_callback_settings = [] + # One entry has to own a credential family end to end. The entries are + # flattened into one dict before a request reads them, so an entry + # naming only a destination would pair with a key written on another + # entry and carry it to that destination -- a key a team admin can read + # back nowhere. Repeating a value the owning entry already stores is + # fine, which is how one integration covers both events. Proxy admins + # are exempt: they already hold every credential the proxy has. + if user_api_key_dict.user_role != LitellmUserRoles.PROXY_ADMIN: + # Decrypted, because the check compares the incoming values against + # the stored ones and the credentials are encrypted at rest. + decrypted_logging: Final = decrypt_callback_vars(team_metadata).get("logging") + stored_entries: Final = decrypted_logging if isinstance(decrypted_logging, list) else () + stored_entry_vars: Final = [ # mutable-ok: read-only input to the check, never stored + entry.get("callback_vars") or {} for entry in stored_entries + ] + family_error: Final = cross_entry_family_error(data.callback_vars, stored_entry_vars) + if family_error is not None: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=family_error, + ) + ## check if it already exists, for the same callback event for callback in team_callback_settings: if ( @@ -452,7 +491,7 @@ async def delete_team_callback( team_id=team_id, table_name="team", query_type="find_unique" ) if _existing_team is None: - raise _callback_error(404, f"Team id = {team_id} does not exist.") + raise _unknown_team_error(team_id, user_api_key_dict, status.HTTP_404_NOT_FOUND) # IDOR guard: only proxy admins / org admins / team admins of THIS team may # deregister its callbacks, otherwise any authenticated key holder could @@ -726,10 +765,7 @@ async def get_team_callbacks( # Check if team_id exists _existing_team = await prisma_client.get_data(team_id=team_id, table_name="team", query_type="find_unique") if _existing_team is None: - raise HTTPException( - status_code=404, - detail={"error": f"Team id = {team_id} does not exist."}, - ) + raise _unknown_team_error(team_id, user_api_key_dict, status.HTTP_404_NOT_FOUND) # IDOR guard: callback metadata holds third-party API credentials # (Langfuse / Langsmith / GCS). Only proxy admins / org admins / diff --git a/litellm/proxy/management_endpoints/team_endpoints.py b/litellm/proxy/management_endpoints/team_endpoints.py index 2ec68a10f65..c050368b3fe 100644 --- a/litellm/proxy/management_endpoints/team_endpoints.py +++ b/litellm/proxy/management_endpoints/team_endpoints.py @@ -5601,7 +5601,7 @@ async def team_model_add( updated_team: Final = await _team_db(prisma_client).update( where={"team_id": data.team_id}, data={"updated_at": datetime.now(timezone.utc)}, - include={"object_permission": True}, + include={"litellm_model_table": True, "object_permission": True}, ) if updated_team is None: raise HTTPException( @@ -5688,7 +5688,7 @@ async def team_model_delete( updated_team: Final = await _team_db(prisma_client).update( where={"team_id": data.team_id}, data={"models": updated_models}, - include={"object_permission": True}, + include={"litellm_model_table": True, "object_permission": True}, ) if updated_team is None: raise HTTPException( diff --git a/litellm/proxy/management_endpoints/ui_sso.py b/litellm/proxy/management_endpoints/ui_sso.py index 3e6434a5afd..c60888e298f 100644 --- a/litellm/proxy/management_endpoints/ui_sso.py +++ b/litellm/proxy/management_endpoints/ui_sso.py @@ -22,7 +22,6 @@ from html import escape from types import MappingProxyType from typing import ( TYPE_CHECKING, - Annotated, Any, Final, Literal, @@ -42,7 +41,7 @@ if TYPE_CHECKING: import jwt from fastapi import APIRouter, Depends, Header, HTTPException, Request, Response, status from fastapi.responses import RedirectResponse -from pydantic import BaseModel, BeforeValidator, ConfigDict, TypeAdapter, ValidationError +from pydantic import BaseModel, TypeAdapter, ValidationError import litellm from litellm._logging import verbose_proxy_logger @@ -95,6 +94,7 @@ from litellm.proxy.auth.auth_utils import ( ) from litellm.proxy.auth.handle_jwt import JWTHandler from litellm.proxy.auth.ip_address_utils import IPAddressUtils +from litellm.proxy.auth.team_grants import TeamModelAliasTable from litellm.proxy.auth.user_api_key_auth import user_api_key_auth from litellm.proxy.common_utils.admin_ui_utils import ( admin_ui_disabled, @@ -209,31 +209,14 @@ def _team_detail_db(repo: TeamRepository) -> "TableActions[_TeamDetailRow]": return repo.table -_MODEL_ALIASES_ADAPTER: Final = TypeAdapter(dict[str, str]) _SSO_TOKEN_CLAIMS_ADAPTER: Final = TypeAdapter(Mapping[str, object]) -def _decode_model_aliases(value: object) -> object: - """``/team/new`` stores team model aliases as a JSON-encoded string in the Json column.""" - if not isinstance(value, str): - return value - try: - return _MODEL_ALIASES_ADAPTER.validate_json(value) - except ValidationError: - return None - - -class _TeamModelAliasTable(BaseModel): - model_config = ConfigDict(protected_namespaces=()) - - model_aliases: Annotated[Mapping[str, str] | None, BeforeValidator(_decode_model_aliases)] = None - - class _TeamRowGrants(BaseModel): team_id: str team_alias: str | None = None models: tuple[str, ...] = () - litellm_model_table: _TeamModelAliasTable | None = None + litellm_model_table: TeamModelAliasTable | None = None class CliSsoTeamDetail(BaseModel): diff --git a/litellm/proxy/openai_files_endpoints/files_endpoints.py b/litellm/proxy/openai_files_endpoints/files_endpoints.py index bf07f4748ef..c315d30b8f3 100644 --- a/litellm/proxy/openai_files_endpoints/files_endpoints.py +++ b/litellm/proxy/openai_files_endpoints/files_endpoints.py @@ -45,6 +45,11 @@ from litellm.proxy.common_utils.openai_endpoint_utils import ( get_custom_llm_provider_from_request_headers, get_custom_llm_provider_from_request_query, ) +from litellm.proxy.common_utils.openai_error_payload import ( + error_status_code, + openai_error_param, + openai_error_type, +) from litellm.proxy.openai_files_endpoints.batch_file_validation import ( check_batch_file_upload, raise_batch_file_validation_failure, @@ -296,22 +301,22 @@ async def route_create_file( if managed_files_obj is None: raise ProxyException( message="Managed files hook not found", - type="None", - param="None", + type=ProxyErrorTypes.internal_server_error.value, + param=None, code=500, ) if llm_router is None: raise ProxyException( message="LLM Router not found", - type="None", - param="None", + type=ProxyErrorTypes.internal_server_error.value, + param=None, code=500, ) if not isinstance(managed_files_obj, BaseFileEndpoints): raise ProxyException( message="Managed files hook is not a BaseFileEndpoints", - type="None", - param="None", + type=ProxyErrorTypes.internal_server_error.value, + param=None, code=500, ) # Managed files internally calls llm_router.acreate_file() which includes loadbalancing @@ -713,17 +718,17 @@ async def create_file( if isinstance(e, HTTPException): raise ProxyException( message=getattr(e, "message", str(e.detail)), - type=getattr(e, "type", "None"), - param=getattr(e, "param", "None"), - code=getattr(e, "status_code", status.HTTP_400_BAD_REQUEST), + type=openai_error_type(e, error_status_code(e, status.HTTP_400_BAD_REQUEST)), + param=openai_error_param(e), + code=error_status_code(e, status.HTTP_400_BAD_REQUEST), ) else: error_msg: Final = f"{e}" raise ProxyException( message=getattr(e, "message", error_msg), - type=getattr(e, "type", "None"), - param=getattr(e, "param", "None"), - code=getattr(e, "status_code", 500), + type=openai_error_type(e, error_status_code(e, 500)), + param=openai_error_param(e), + code=error_status_code(e, 500), ) finally: for spool in spools: @@ -812,22 +817,22 @@ async def get_file_content( if managed_files_obj is None: raise ProxyException( message="Managed files hook not found", - type="None", - param="None", + type=ProxyErrorTypes.internal_server_error.value, + param=None, code=500, ) if llm_router is None: raise ProxyException( message="LLM Router not found", - type="None", - param="None", + type=ProxyErrorTypes.internal_server_error.value, + param=None, code=500, ) if not isinstance(managed_files_obj, BaseFileEndpoints): raise ProxyException( message="Managed files hook is not a BaseFileEndpoints", - type="None", - param="None", + type=ProxyErrorTypes.internal_server_error.value, + param=None, code=500, ) @@ -1021,17 +1026,17 @@ async def get_file_content( if isinstance(e, HTTPException): raise ProxyException( message=getattr(e, "message", str(e.detail)), - type=getattr(e, "type", "None"), - param=getattr(e, "param", "None"), - code=getattr(e, "status_code", status.HTTP_400_BAD_REQUEST), + type=openai_error_type(e, error_status_code(e, status.HTTP_400_BAD_REQUEST)), + param=openai_error_param(e), + code=error_status_code(e, status.HTTP_400_BAD_REQUEST), ) else: error_msg: Final = f"{e}" raise ProxyException( message=getattr(e, "message", error_msg), - type=getattr(e, "type", "None"), - param=getattr(e, "param", "None"), - code=getattr(e, "status_code", 500), + type=openai_error_type(e, error_status_code(e, 500)), + param=openai_error_param(e), + code=error_status_code(e, 500), ) @@ -1151,15 +1156,15 @@ async def get_file( if managed_files_obj is None: raise ProxyException( message="Managed files hook not found", - type="None", - param="None", + type=ProxyErrorTypes.internal_server_error.value, + param=None, code=500, ) if not isinstance(managed_files_obj, BaseFileEndpoints): raise ProxyException( message="Managed files hook is not a BaseFileEndpoints", - type="None", - param="None", + type=ProxyErrorTypes.internal_server_error.value, + param=None, code=500, ) response = await managed_files_obj.afile_retrieve( @@ -1215,17 +1220,17 @@ async def get_file( if isinstance(e, HTTPException): raise ProxyException( message=getattr(e, "message", str(e.detail)), - type=getattr(e, "type", "None"), - param=getattr(e, "param", "None"), - code=getattr(e, "status_code", status.HTTP_400_BAD_REQUEST), + type=openai_error_type(e, error_status_code(e, status.HTTP_400_BAD_REQUEST)), + param=openai_error_param(e), + code=error_status_code(e, status.HTTP_400_BAD_REQUEST), ) else: error_msg: Final = f"{e}" raise ProxyException( message=getattr(e, "message", error_msg), - type=getattr(e, "type", "None"), - param=getattr(e, "param", "None"), - code=getattr(e, "status_code", 500), + type=openai_error_type(e, error_status_code(e, 500)), + param=openai_error_param(e), + code=error_status_code(e, 500), ) @@ -1355,22 +1360,22 @@ async def delete_file( if managed_files_obj is None: raise ProxyException( message="Managed files hook not found", - type="None", - param="None", + type=ProxyErrorTypes.internal_server_error.value, + param=None, code=500, ) if llm_router is None: raise ProxyException( message="LLM Router not found", - type="None", - param="None", + type=ProxyErrorTypes.internal_server_error.value, + param=None, code=500, ) if not isinstance(managed_files_obj, BaseFileEndpoints): raise ProxyException( message="Managed files hook is not a BaseFileEndpoints", - type="None", - param="None", + type=ProxyErrorTypes.internal_server_error.value, + param=None, code=500, ) @@ -1427,17 +1432,17 @@ async def delete_file( if isinstance(e, HTTPException): raise ProxyException( message=getattr(e, "message", str(e.detail)), - type=getattr(e, "type", "None"), - param=getattr(e, "param", "None"), - code=getattr(e, "status_code", status.HTTP_400_BAD_REQUEST), + type=openai_error_type(e, error_status_code(e, status.HTTP_400_BAD_REQUEST)), + param=openai_error_param(e), + code=error_status_code(e, status.HTTP_400_BAD_REQUEST), ) else: error_msg: Final = f"{e}" raise ProxyException( message=getattr(e, "message", error_msg), - type=getattr(e, "type", "None"), - param=getattr(e, "param", "None"), - code=getattr(e, "status_code", 500), + type=openai_error_type(e, error_status_code(e, 500)), + param=openai_error_param(e), + code=error_status_code(e, 500), ) @@ -1629,15 +1634,15 @@ async def list_files( if isinstance(e, HTTPException): raise ProxyException( message=getattr(e, "message", str(e.detail)), - type=getattr(e, "type", "None"), - param=getattr(e, "param", "None"), - code=getattr(e, "status_code", status.HTTP_400_BAD_REQUEST), + type=openai_error_type(e, error_status_code(e, status.HTTP_400_BAD_REQUEST)), + param=openai_error_param(e), + code=error_status_code(e, status.HTTP_400_BAD_REQUEST), ) else: error_msg: Final = f"{e}" raise ProxyException( message=getattr(e, "message", error_msg), - type=getattr(e, "type", "None"), - param=getattr(e, "param", "None"), - code=getattr(e, "status_code", 500), + type=openai_error_type(e, error_status_code(e, 500)), + param=openai_error_param(e), + code=error_status_code(e, 500), ) diff --git a/litellm/proxy/pass_through_endpoints/pass_through_endpoints.py b/litellm/proxy/pass_through_endpoints/pass_through_endpoints.py index f1f823e59b5..ea4ede7e513 100644 --- a/litellm/proxy/pass_through_endpoints/pass_through_endpoints.py +++ b/litellm/proxy/pass_through_endpoints/pass_through_endpoints.py @@ -78,6 +78,11 @@ from litellm.proxy.common_utils.http_parsing_utils import ( _read_request_body, _safe_get_request_headers, ) +from litellm.proxy.common_utils.openai_error_payload import ( + error_status_code, + openai_error_param, + openai_error_type, +) from litellm.proxy.common_utils.sse_keepalive import ( wrap_passthrough_sse_bytes_with_keepalive_pings, ) @@ -311,9 +316,9 @@ async def chat_completion_pass_through_endpoint( error_msg: Final = f"{e}" raise ProxyException( message=getattr(e, "message", error_msg), - type=getattr(e, "type", "None"), - param=getattr(e, "param", "None"), - code=getattr(e, "status_code", 500), + type=openai_error_type(e, error_status_code(e, 500)), + param=openai_error_param(e), + code=error_status_code(e, 500), ) @@ -1728,18 +1733,18 @@ async def pass_through_request( if isinstance(e, HTTPException): raise ProxyException( message=getattr(e, "message", str(getattr(e, "detail", str(e)))), - type=getattr(e, "type", "None"), - param=getattr(e, "param", "None"), - code=getattr(e, "status_code", status.HTTP_400_BAD_REQUEST), + type=openai_error_type(e, error_status_code(e, status.HTTP_400_BAD_REQUEST)), + param=openai_error_param(e), + code=error_status_code(e, status.HTTP_400_BAD_REQUEST), headers=custom_headers, ) else: error_msg: Final = f"{e}" raise ProxyException( message=getattr(e, "message", error_msg), - type=getattr(e, "type", "None"), - param=getattr(e, "param", "None"), - code=getattr(e, "status_code", 500), + type=openai_error_type(e, error_status_code(e, 500)), + param=openai_error_param(e), + code=error_status_code(e, 500), headers=custom_headers, ) diff --git a/litellm/proxy/proxy_server.py b/litellm/proxy/proxy_server.py index a617aec9f5c..09e43eb74e1 100644 --- a/litellm/proxy/proxy_server.py +++ b/litellm/proxy/proxy_server.py @@ -17,6 +17,7 @@ import time import traceback import warnings from collections.abc import AsyncGenerator, AsyncIterator, Callable, Collection, Mapping, MutableMapping, Sequence +from dataclasses import dataclass from datetime import datetime, timedelta, timezone from types import MappingProxyType, UnionType from typing import ( @@ -131,6 +132,7 @@ from litellm.router_utils.auto_router_tuning_baseline import ( snapshot_tuning_baselines, tuning_limit_violation, ) +from litellm.types.caching import RedisPipelineIncrementOperation from litellm.types.utils import ( ModelResponse, ModelResponseStream, @@ -138,11 +140,7 @@ from litellm.types.utils import ( TextCompletionResponse, TokenCountResponse, ) -from litellm.utils import ( - _invalidate_model_cost_lowercase_map, - load_credentials_from_list, - reapply_runtime_model_cost_registrations, -) +from litellm.utils import load_credentials_from_list if TYPE_CHECKING: from aiohttp import ClientSession @@ -426,6 +424,7 @@ from litellm.proxy.db.exception_handler import ( ) from litellm.proxy.db.gateway_request_tracking import ( GatewayRequestAccumulator, + GatewayRequestRedisBuffer, flush_gateway_requests, ) from litellm.proxy.db.proxy_worker_heartbeat import ( @@ -2357,6 +2356,17 @@ open_telemetry_logger: OpenTelemetry | None = None gateway_request_accumulator: Final = GatewayRequestAccumulator() ### INITIALIZE GLOBAL LOGGING OBJECT ### proxy_logging_obj: ProxyLogging = ProxyLogging(user_api_key_cache=user_api_key_cache, premium_user=premium_user) + + +def _gateway_request_redis_buffer() -> GatewayRequestRedisBuffer | None: + """Shares the spend writer's transaction-buffer Redis and pod lock when use_redis_transaction_buffer is on.""" + writer: Final = proxy_logging_obj.db_spend_update_writer + redis_cache: Final = writer.redis_update_buffer.redis_cache + if redis_cache is None or not writer.redis_update_buffer._should_commit_spend_updates_to_redis(): + return None + return GatewayRequestRedisBuffer(redis_cache=redis_cache, pod_lock_manager=writer.pod_lock_manager) + + ### REDIS QUEUE ### async_result: Final = None celery_app_conn: Final = None @@ -2707,6 +2717,12 @@ async def _read_spend_counter_estimate(counter_key: str, fallback_spend: float) return fallback_spend, False +@dataclass(frozen=True, slots=True) +class _PendingSpendIncrement: + counter_key: str + increment: float + + async def increment_spend_counters( token: str | None, team_id: str | None, @@ -2741,7 +2757,7 @@ async def increment_spend_counters( cost: Final[float] = response_cost - async def _key_scope(key_token: str) -> None: + async def _key_scope(key_token: str) -> tuple[_PendingSpendIncrement | BaseException, ...]: # key_token arrives pre-hashed from metadata["user_api_key"] (auth flow # hashes raw "sk-..." keys before they reach the callback). The # startswith("sk-") check is a safety net matching update_cache — @@ -2752,30 +2768,29 @@ async def increment_spend_counters( hash_token(token=key_token) if isinstance(key_token, str) and key_token.startswith("sk-") else key_token ) key_counter_key: Final = f"spend:key:{hashed_token}" - if key_counter_key not in reserved_counter_keys: - await _init_and_increment_spend_counter( - counter_key=key_counter_key, - source_cache_key=hashed_token, - increment=cost, + key_pending: Final[tuple[_PendingSpendIncrement, ...]] = ( + () + if key_counter_key in reserved_counter_keys + else ( + await _prepare_spend_counter_increment( + counter_key=key_counter_key, + source_cache_key=hashed_token, + increment=cost, + ), ) - - key_obj: Final[object] = await user_api_key_cache.async_get_cache(key=hashed_token) - if key_obj is None: - return - key_budget_limits = getattr(key_obj, "budget_limits", None) or ( - key_obj.get("budget_limits") if isinstance(key_obj, dict) else None ) - if isinstance(key_budget_limits, str): - key_budget_limits = json.loads(key_budget_limits) - if not isinstance(key_budget_limits, list): - return - for window in key_budget_limits: - duration = window["budget_duration"] if isinstance(window, dict) else window.budget_duration - key_window_reset_at = window.get("reset_at") if isinstance(window, dict) else window.reset_at - key_window_counter = f"spend:key:{hashed_token}:window:{duration}" + + async def _key_window_increment(window: object) -> _PendingSpendIncrement | None: + duration = ( + window["budget_duration"] if isinstance(window, dict) else getattr(window, "budget_duration", None) + ) + key_window_reset_at = ( + window.get("reset_at") if isinstance(window, dict) else getattr(window, "reset_at", None) + ) + key_window_counter: Final = f"spend:key:{hashed_token}:window:{duration}" key_window_start = get_budget_window_start(window) - if key_window_counter not in reserved_counter_keys: - await _init_and_increment_window_spend_counter( + pending_window: Final = ( + await _prepare_window_spend_counter_increment( counter_key=key_window_counter, entity_type="Key", entity_id=hashed_token, @@ -2783,6 +2798,9 @@ async def increment_spend_counters( window_start=key_window_start, increment=cost, ) + if key_window_counter not in reserved_counter_keys + else None + ) await _enqueue_window_spend_row_update( entity_type=Litellm_EntityType.KEY, entity_id=hashed_token, @@ -2792,33 +2810,48 @@ async def increment_spend_counters( increment=cost, request_started_at=request_started_at, ) + return pending_window - async def _team_scope(scope_team_id: str) -> None: - team_counter_key: Final = f"spend:team:{scope_team_id}" - if team_counter_key not in reserved_counter_keys: - await _init_and_increment_spend_counter( - counter_key=team_counter_key, - source_cache_key=f"team_id:{scope_team_id}", - increment=cost, - ) - - team_obj: Final[object] = await user_api_key_cache.async_get_cache(key=f"team_id:{scope_team_id}") - if team_obj is None: - return - team_budget_limits = getattr(team_obj, "budget_limits", None) or ( - team_obj.get("budget_limits") if isinstance(team_obj, dict) else None + key_obj: Final[object] = await user_api_key_cache.async_get_cache(key=hashed_token) + if key_obj is None: + return key_pending + key_budget_limits = getattr(key_obj, "budget_limits", None) or ( + key_obj.get("budget_limits") if isinstance(key_obj, dict) else None ) - if isinstance(team_budget_limits, str): - team_budget_limits = json.loads(team_budget_limits) - if not isinstance(team_budget_limits, list): - return - for window in team_budget_limits: - duration = window["budget_duration"] if isinstance(window, dict) else window.budget_duration - team_window_reset_at = window.get("reset_at") if isinstance(window, dict) else window.reset_at - team_window_counter = f"spend:team:{scope_team_id}:window:{duration}" + if isinstance(key_budget_limits, str): + key_budget_limits = json.loads(key_budget_limits) + if not isinstance(key_budget_limits, list): + return key_pending + window_pending: Final = await asyncio.gather( + *(_key_window_increment(window) for window in key_budget_limits), return_exceptions=True + ) + return key_pending + tuple(item for item in window_pending if item is not None) + + async def _team_scope(scope_team_id: str) -> tuple[_PendingSpendIncrement | BaseException, ...]: + team_counter_key: Final = f"spend:team:{scope_team_id}" + team_pending: Final[tuple[_PendingSpendIncrement, ...]] = ( + () + if team_counter_key in reserved_counter_keys + else ( + await _prepare_spend_counter_increment( + counter_key=team_counter_key, + source_cache_key=f"team_id:{scope_team_id}", + increment=cost, + ), + ) + ) + + async def _team_window_increment(window: object) -> _PendingSpendIncrement | None: + duration = ( + window["budget_duration"] if isinstance(window, dict) else getattr(window, "budget_duration", None) + ) + team_window_reset_at = ( + window.get("reset_at") if isinstance(window, dict) else getattr(window, "reset_at", None) + ) + team_window_counter: Final = f"spend:team:{scope_team_id}:window:{duration}" team_window_start = get_budget_window_start(window) - if team_window_counter not in reserved_counter_keys: - await _init_and_increment_window_spend_counter( + pending_window: Final = ( + await _prepare_window_spend_counter_increment( counter_key=team_window_counter, entity_type="Team", entity_id=scope_team_id, @@ -2826,6 +2859,9 @@ async def increment_spend_counters( window_start=team_window_start, increment=cost, ) + if team_window_counter not in reserved_counter_keys + else None + ) await _enqueue_window_spend_row_update( entity_type=Litellm_EntityType.TEAM, entity_id=scope_team_id, @@ -2835,25 +2871,47 @@ async def increment_spend_counters( increment=cost, request_started_at=request_started_at, ) + return pending_window - async def _team_member_scope(scope_user_id: str, scope_team_id: str) -> None: + team_obj: Final[object] = await user_api_key_cache.async_get_cache(key=f"team_id:{scope_team_id}") + if team_obj is None: + return team_pending + team_budget_limits = getattr(team_obj, "budget_limits", None) or ( + team_obj.get("budget_limits") if isinstance(team_obj, dict) else None + ) + if isinstance(team_budget_limits, str): + team_budget_limits = json.loads(team_budget_limits) + if not isinstance(team_budget_limits, list): + return team_pending + window_pending: Final = await asyncio.gather( + *(_team_window_increment(window) for window in team_budget_limits), return_exceptions=True + ) + return team_pending + tuple(item for item in window_pending if item is not None) + + async def _team_member_scope( + scope_user_id: str, scope_team_id: str + ) -> tuple[_PendingSpendIncrement | BaseException, ...]: team_member_counter_key: Final = f"spend:team_member:{scope_user_id}:{scope_team_id}" if team_member_counter_key in reserved_counter_keys: - return - await _init_and_increment_spend_counter( - counter_key=team_member_counter_key, - source_cache_key=f"team_membership:{scope_user_id}:{scope_team_id}", - increment=cost, + return () + return ( + await _prepare_spend_counter_increment( + counter_key=team_member_counter_key, + source_cache_key=f"team_membership:{scope_user_id}:{scope_team_id}", + increment=cost, + ), ) - async def _user_scope(scope_user_id: str) -> None: + async def _user_scope(scope_user_id: str) -> tuple[_PendingSpendIncrement | BaseException, ...]: user_counter_key: Final = f"spend:user:{scope_user_id}" if user_counter_key in reserved_counter_keys: - return - await _init_and_increment_spend_counter( - counter_key=user_counter_key, - source_cache_key=scope_user_id, - increment=cost, + return () + return ( + await _prepare_spend_counter_increment( + counter_key=user_counter_key, + source_cache_key=scope_user_id, + increment=cost, + ), ) scope_coros: Final = tuple( @@ -2863,7 +2921,7 @@ async def increment_spend_counters( _team_scope(team_id) if team_id is not None else None, _team_member_scope(user_id, team_id) if user_id is not None and team_id is not None else None, _user_scope(user_id) if user_id is not None else None, - _increment_end_user_and_tag_spend_counters( + _prepare_end_user_and_tag_spend_increments( end_user_id=end_user_id, tags=tags, response_cost=cost, @@ -2871,14 +2929,14 @@ async def increment_spend_counters( ) if end_user_id is not None or tags is not None else None, - _increment_model_access_group_spend_counters( + _prepare_model_access_group_spend_increments( model_access_groups=model_access_groups, response_cost=cost, reserved_counter_keys=reserved_counter_keys, ) if model_access_groups else None, - _increment_org_spend_counter( + _prepare_org_spend_increment( org_id=org_id, response_cost=cost, reserved_counter_keys=reserved_counter_keys, @@ -2893,7 +2951,20 @@ async def increment_spend_counters( # as orphaned tasks that race the caller's reservation-counter invalidation; # all scopes settle, then the first error propagates as before. scope_results: Final = await asyncio.gather(*scope_coros, return_exceptions=True) - scope_errors: Final = [r for r in scope_results if isinstance(r, BaseException)] + scope_errors: Final = tuple( + item + for scope in scope_results + for item in (scope if isinstance(scope, tuple) else (scope,)) + if isinstance(item, BaseException) + ) + pending: Final = tuple( + item + for scope in scope_results + if not isinstance(scope, BaseException) + for item in scope + if not isinstance(item, BaseException) + ) + await _apply_spend_counter_increments(pending=pending) if scope_errors: raise scope_errors[0] @@ -2936,41 +3007,49 @@ async def _reconcile_budget_reservation_for_counter_update( return reserved_counter_keys -async def _increment_end_user_and_tag_spend_counters( +async def _prepare_end_user_and_tag_spend_increments( end_user_id: str | None, tags: list[str] | None, response_cost: float, reserved_counter_keys: set[str], -) -> None: - if end_user_id is not None: - await _init_and_increment_unreserved_spend_counter( - counter_key=f"spend:end_user:{end_user_id}", - source_cache_key=end_user_cache_key(end_user_id), - increment=response_cost, - reserved_counter_keys=reserved_counter_keys, - ) - - if tags is None: - return - - seen_tags: Final[set[str]] = set() - for tag_name in tags: - if not tag_name or not isinstance(tag_name, str) or tag_name in seen_tags: - continue - seen_tags.add(tag_name) - await _init_and_increment_unreserved_spend_counter( - counter_key=f"spend:tag:{tag_name}", - source_cache_key=tag_cache_key(tag_name), - increment=response_cost, - reserved_counter_keys=reserved_counter_keys, - ) +) -> tuple[_PendingSpendIncrement | BaseException, ...]: + unique_tags: Final = ( + tuple(dict.fromkeys(tag for tag in tags if tag and isinstance(tag, str))) if tags is not None else () + ) + results: Final = await asyncio.gather( + *( + coro + for coro in ( + _prepare_unreserved_spend_counter_increment( + counter_key=f"spend:end_user:{end_user_id}", + source_cache_key=end_user_cache_key(end_user_id), + increment=response_cost, + reserved_counter_keys=reserved_counter_keys, + ) + if end_user_id is not None + else None, + *( + _prepare_unreserved_spend_counter_increment( + counter_key=f"spend:tag:{tag_name}", + source_cache_key=tag_cache_key(tag_name), + increment=response_cost, + reserved_counter_keys=reserved_counter_keys, + ) + for tag_name in unique_tags + ), + ) + if coro is not None + ), + return_exceptions=True, + ) + return tuple(item for item in results if item is not None) -async def _increment_model_access_group_spend_counters( +async def _prepare_model_access_group_spend_increments( model_access_groups: Sequence[object], response_cost: float, reserved_counter_keys: set[str], -) -> None: +) -> tuple[_PendingSpendIncrement | BaseException, ...]: """Charge the model access groups that authorized this request. Without this the counter auth reads is written only by the reservation path, so @@ -2984,55 +3063,63 @@ async def _increment_model_access_group_spend_counters( unique_groups: Final = tuple( dict.fromkeys(group for group in model_access_groups if group and isinstance(group, str)) ) - for group in unique_groups: - await _init_and_increment_unreserved_spend_counter( - counter_key=model_access_group_spend_counter_key(group), - source_cache_key=model_access_group_cache_key(group), - increment=response_cost, - reserved_counter_keys=reserved_counter_keys, - ) + results: Final = await asyncio.gather( + *( + _prepare_unreserved_spend_counter_increment( + counter_key=model_access_group_spend_counter_key(group), + source_cache_key=model_access_group_cache_key(group), + increment=response_cost, + reserved_counter_keys=reserved_counter_keys, + ) + for group in unique_groups + ), + return_exceptions=True, + ) + return tuple(item for item in results if item is not None) -async def _increment_org_spend_counter( +async def _prepare_org_spend_increment( org_id: str | None, response_cost: float, reserved_counter_keys: set[str], -) -> None: +) -> tuple[_PendingSpendIncrement, ...]: if org_id is None: - return + return () - await _init_and_increment_unreserved_spend_counter( + pending: Final = await _prepare_unreserved_spend_counter_increment( counter_key=f"spend:org:{org_id}", source_cache_key=[f"org_id:{org_id}:with_budget", f"org_id:{org_id}"], increment=response_cost, reserved_counter_keys=reserved_counter_keys, ) + return (pending,) if pending is not None else () -async def _init_and_increment_unreserved_spend_counter( +async def _prepare_unreserved_spend_counter_increment( counter_key: str, source_cache_key: str | list[str], increment: float, reserved_counter_keys: set[str], -) -> None: +) -> _PendingSpendIncrement | None: if counter_key in reserved_counter_keys: - return + return None - await _init_and_increment_spend_counter( + return await _prepare_spend_counter_increment( counter_key=counter_key, source_cache_key=source_cache_key, increment=increment, ) -async def _init_and_increment_spend_counter( +async def _prepare_spend_counter_increment( counter_key: str, source_cache_key: str | list[str], increment: float, -): +) -> _PendingSpendIncrement: """ Initialize counter from the authoritative DB spend value if not yet - set, then atomically increment in both in-memory and Redis. + set, then return the pending increment for the caller to apply in one + pipelined Redis call. On first access per pod: 1. Check spend_counter_cache (in-memory -> Redis via DualCache) @@ -3044,13 +3131,13 @@ async def _init_and_increment_spend_counter( the counter as absent and seed it. Using increment means the worst case is over-counting (conservative, blocks slightly early) rather than under-counting (would allow overspend). - 4. Increment atomically (both in-memory + Redis) + 4. Increment is returned for the caller to apply via pipeline """ await _ensure_spend_counter_initialized( counter_key=counter_key, source_cache_key=source_cache_key, ) - await _increment_spend_counter_cache(counter_key=counter_key, increment=increment) + return _PendingSpendIncrement(counter_key=counter_key, increment=increment) async def _enqueue_window_spend_row_update( @@ -3102,20 +3189,20 @@ async def _enqueue_window_spend_row_update( ) -async def _init_and_increment_window_spend_counter( +async def _prepare_window_spend_counter_increment( counter_key: str, entity_type: str, entity_id: str, window_duration: str | None, window_start: datetime | None, increment: float, -): +) -> _PendingSpendIncrement | None: if window_start is None: verbose_proxy_logger.warning( "Skipping spend counter increment for invalid budget window %s", counter_key, ) - return + return None initialized: Final = await _ensure_window_spend_counter_initialized( counter_key=counter_key, @@ -3125,8 +3212,8 @@ async def _init_and_increment_window_spend_counter( window_start=window_start, ) if initialized is False: - return - await _increment_spend_counter_cache(counter_key=counter_key, increment=increment) + return None + return _PendingSpendIncrement(counter_key=counter_key, increment=increment) async def _ensure_spend_counter_initialized( @@ -3259,6 +3346,32 @@ async def _invalidate_spend_counter(counter_key: str): ) +async def _apply_spend_counter_increments(pending: Sequence[_PendingSpendIncrement]) -> None: + if not pending: + return + redis_cache: Final = spend_counter_cache.redis_cache + if redis_cache is None: + for item in pending: + await spend_counter_cache.async_increment_cache( + key=item.counter_key, + value=item.increment, + refresh_ttl=True, + ) + return + ttl: Final = redis_cache.get_ttl() + increment_list: Final = [ # mutable-ok: async_increment_pipeline signature requires list[RedisPipelineIncrementOperation] + RedisPipelineIncrementOperation(key=item.counter_key, increment_value=item.increment, ttl=ttl) + for item in pending + ] + try: + results: Final = await redis_cache.async_increment_pipeline(increment_list=increment_list) + except Exception: + await asyncio.gather(*(_invalidate_spend_counter(counter_key=item.counter_key) for item in pending)) + raise + for item, current_value in zip(pending, results or ()): + spend_counter_cache.in_memory_cache.set_cache(key=item.counter_key, value=current_value) + + async def update_cache( token: str | None, user_id: str | None, @@ -4436,20 +4549,9 @@ def resolve_classifier_plugin( def _swap_in_model_cost_map(new_model_cost_map: dict) -> int: - """Adopt a freshly fetched cost map into this process's litellm state, return the model count""" - litellm.model_cost = new_model_cost_map - # Invalidate case-insensitive lookup map since model_cost was replaced - _invalidate_model_cost_lowercase_map() - # Repopulate provider model sets (e.g. litellm.anthropic_models) so that - # wildcard patterns like "anthropic/*" include any newly added models. - litellm.add_known_models(model_cost_map=new_model_cost_map) - # Counted before the re-apply below, which writes into this same dict, so the - # number reported describes the fetched price data alone. - fetched_model_count: Final = len(new_model_cost_map) if new_model_cost_map else 0 - # The swap discards everything registered at runtime (deployment model_info, - # register_model overrides), so put it back on top of the fresh catalog. - reapply_runtime_model_cost_registrations() - return fetched_model_count + from litellm.litellm_core_utils.get_model_cost_map import adopt_model_cost_map + + return adopt_model_cost_map(new_model_cost_map) def should_load_db_object(object_type: str | SupportedDBObjectType) -> bool: @@ -9543,7 +9645,7 @@ class ProxyStartupEvent: flush_gateway_requests, "interval", seconds=batch_writing_interval, - args=(prisma_client, gateway_request_accumulator), + args=(prisma_client, gateway_request_accumulator, _gateway_request_redis_buffer()), id="update_gateway_requests_job", replace_existing=True, misfire_grace_time=APSCHEDULER_MISFIRE_GRACE_TIME, @@ -17750,6 +17852,7 @@ async def reload_model_cost_map( # Immediately reload the model cost map in the current pod from litellm.litellm_core_utils.get_model_cost_map import ( ModelCostMapReloadUnavailable, + get_model_cost_map_provenance, refetch_model_cost_map, ) @@ -17763,6 +17866,7 @@ async def reload_model_cost_map( models_count = _swap_in_model_cost_map(reload_result.model_cost_map) current_time = utc_now() proxy_config.model_cost_map_loaded_at = current_time + provenance: Final = get_model_cost_map_provenance() # Publish a new revision so every other pod reloads on its next poll; this pod has # already served it, so adopt it here rather than reloading again a tick later @@ -17777,6 +17881,7 @@ async def reload_model_cost_map( "status": "success", "models_count": models_count, "timestamp": current_time.isoformat(), + **provenance, } except HTTPException: raise @@ -17897,12 +18002,17 @@ async def get_model_cost_map_reload_status( try: global prisma_client + from litellm.litellm_core_utils.get_model_cost_map import ( + get_model_cost_map_provenance, + ) + provenance: Final = get_model_cost_map_provenance() if prisma_client is None: verbose_proxy_logger.info("No database connection, returning not scheduled") - return reload_schedule_status(None) + return {**reload_schedule_status(None), **provenance} - return reload_schedule_status(await read_reload_schedule(prisma_client, MODEL_COST_MAP_RELOAD_PARAM_NAME)) + schedule: Final = await read_reload_schedule(prisma_client, MODEL_COST_MAP_RELOAD_PARAM_NAME) + return {**reload_schedule_status(schedule), **provenance} except Exception as e: verbose_proxy_logger.exception("Failed to get model cost map reload status: %s", e) raise HTTPException( @@ -17930,6 +18040,9 @@ async def get_model_cost_map_source( - url: the remote URL that was attempted (null when env-forced local) - is_env_forced: true if LITELLM_LOCAL_MODEL_COST_MAP=True forced local usage - fallback_reason: human-readable reason why remote failed (null on success) + - loaded_at: when this pod last loaded the map + - source_revision: git blob id of the loaded file, what git rev-parse : prints for it + - etag: the ETag of the remote fetch (null for the bundled backup) - model_count: number of models in the currently loaded cost map """ # Read-only source info — admin viewers can read. @@ -18484,6 +18597,31 @@ async def _stream_mcp_asgi_response(handle_fn, scope: dict, receive) -> "Streami ######################################################## +@app.api_route( + "/mcp/proxy", + methods=["GET", "POST", "PUT", "DELETE", "PATCH", "OPTIONS", "HEAD"], # mutable-ok: FastAPI route methods +) +async def proxy_mcp_route(request: Request) -> Response: + """Serve the fixed three-tool MCP proxy surface.""" + from litellm.proxy._experimental.mcp_server.mcp_context import ( # pyright: ignore[reportPrivateUsage] # route-owned mode + _mcp_proxy_mode, # pyright: ignore[reportPrivateUsage] # route-owned mode + ) + from litellm.proxy._experimental.mcp_server.server import handle_streamable_http_mcp + from litellm.proxy._experimental.mcp_server.utils import is_mcp_available + + if not is_mcp_available(): + raise HTTPException(status_code=404, detail="Not Found") + + token: Final = _mcp_proxy_mode.set(True) + try: + scope: Final = dict(request.scope) # mutable-ok: ASGI scope rewrite + scope["_original_path"] = scope.get("path", "") + scope["path"] = BASE_MCP_ROUTE + return await _stream_mcp_asgi_response(handle_streamable_http_mcp, scope, request.receive) + finally: + _mcp_proxy_mode.reset(token) + + @app.api_route( BASE_MCP_ROUTE, methods=["GET", "POST", "PUT", "DELETE", "PATCH", "OPTIONS", "HEAD"], diff --git a/litellm/proxy/public_endpoints/autorouter_presets.json b/litellm/proxy/public_endpoints/autorouter_presets.json index 7d09db31127..7a251afc076 100644 --- a/litellm/proxy/public_endpoints/autorouter_presets.json +++ b/litellm/proxy/public_endpoints/autorouter_presets.json @@ -10,7 +10,12 @@ "REASONING": ["claude-opus-5"] }, "tier_model_configs": { - "REASONING": [{ "model_name": "claude-opus-5", "litellm_params": { "reasoning_effort": "high" } }] + "REASONING": [ + { + "model_name": "claude-opus-5", + "litellm_params": { "reasoning_effort": "high" } + } + ] }, "classifier_type": "heuristic_v2", "escalation_keywords": ["LITELLM ESCALATE"], @@ -23,16 +28,21 @@ }, "anthropic_family": { "label": "Anthropic Family", - "description": "Routes across the Claude model family: Haiku for simple queries, Sonnet for medium, Opus for complex, Opus at high thinking for reasoning.", + "description": "Routes across the Claude model family: Haiku for simple queries, Sonnet for medium, Opus for complex, Fable 5.1 at high thinking for reasoning.", "complexity_router_config": { "tiers": { "SIMPLE": ["claude-haiku-4-5"], "MEDIUM": ["claude-sonnet-5"], "COMPLEX": ["claude-opus-5"], - "REASONING": ["claude-opus-5"] + "REASONING": ["claude-fable-5-1"] }, "tier_model_configs": { - "REASONING": [{ "model_name": "claude-opus-5", "litellm_params": { "reasoning_effort": "high" } }] + "REASONING": [ + { + "model_name": "claude-fable-5-1", + "litellm_params": { "reasoning_effort": "high" } + } + ] }, "classifier_type": "heuristic", "escalation_keywords": ["LITELLM ESCALATE"], @@ -73,8 +83,18 @@ "REASONING": ["claude-opus-5"] }, "tier_model_configs": { - "MEDIUM": [{ "model_name": "muse-spark-1.2", "litellm_params": { "reasoning_effort": "xhigh" } }], - "COMPLEX": [{ "model_name": "kimi-k3", "litellm_params": { "reasoning_effort": "max" } }] + "MEDIUM": [ + { + "model_name": "muse-spark-1.2", + "litellm_params": { "reasoning_effort": "xhigh" } + } + ], + "COMPLEX": [ + { + "model_name": "kimi-k3", + "litellm_params": { "reasoning_effort": "max" } + } + ] }, "classifier_type": "llm", "classifier_llm_config": { @@ -93,16 +113,21 @@ }, "openai_family": { "label": "OpenAI Family", - "description": "Routes across the GPT model family: Luna for simple queries, Terra for medium, Sol for complex, Sol at xhigh thinking for reasoning.", + "description": "Routes across the GPT model family: Luna for simple queries, Terra for medium, Sol for complex, Astra at xhigh thinking for reasoning.", "complexity_router_config": { "tiers": { "SIMPLE": ["gpt-5.6-luna"], "MEDIUM": ["gpt-5.6-terra"], "COMPLEX": ["gpt-5.6-sol"], - "REASONING": ["gpt-5.6-sol"] + "REASONING": ["gpt-6-astra"] }, "tier_model_configs": { - "REASONING": [{ "model_name": "gpt-5.6-sol", "litellm_params": { "reasoning_effort": "xhigh" } }] + "REASONING": [ + { + "model_name": "gpt-6-astra", + "litellm_params": { "reasoning_effort": "xhigh" } + } + ] }, "classifier_type": "heuristic", "escalation_keywords": ["LITELLM ESCALATE"], diff --git a/litellm/proxy/realtime_endpoints/endpoints.py b/litellm/proxy/realtime_endpoints/endpoints.py index f41bf4dbd93..be2ac2ff33e 100644 --- a/litellm/proxy/realtime_endpoints/endpoints.py +++ b/litellm/proxy/realtime_endpoints/endpoints.py @@ -17,6 +17,11 @@ from litellm.proxy.common_utils.encrypt_decrypt_utils import ( encrypt_value_helper, ) from litellm.proxy.common_utils.http_parsing_utils import _read_request_body +from litellm.proxy.common_utils.openai_error_payload import ( + error_status_code, + openai_error_param, + openai_error_type, +) from litellm.types.realtime import ( RealtimeClientSecretRequest, RealtimeClientSecretResponse, @@ -304,15 +309,15 @@ async def create_realtime_client_secret( if isinstance(e, HTTPException): raise ProxyException( message=getattr(e, "message", str(e)), - type=getattr(e, "type", "None"), - param=getattr(e, "param", "None"), - code=getattr(e, "status_code", http_status.HTTP_400_BAD_REQUEST), + type=openai_error_type(e, error_status_code(e, http_status.HTTP_400_BAD_REQUEST)), + param=openai_error_param(e), + code=error_status_code(e, http_status.HTTP_400_BAD_REQUEST), ) raise ProxyException( message=getattr(e, "message", str(e)), - type=getattr(e, "type", "None"), - param=getattr(e, "param", "None"), - code=getattr(e, "status_code", 500), + type=openai_error_type(e, error_status_code(e, 500)), + param=openai_error_param(e), + code=error_status_code(e, 500), ) if upstream_resp.status_code != 200: @@ -495,15 +500,15 @@ async def proxy_realtime_calls( if isinstance(e, HTTPException): raise ProxyException( message=getattr(e, "message", str(e)), - type=getattr(e, "type", "None"), - param=getattr(e, "param", "None"), - code=getattr(e, "status_code", http_status.HTTP_400_BAD_REQUEST), + type=openai_error_type(e, error_status_code(e, http_status.HTTP_400_BAD_REQUEST)), + param=openai_error_param(e), + code=error_status_code(e, http_status.HTTP_400_BAD_REQUEST), ) raise ProxyException( message=getattr(e, "message", str(e)), - type=getattr(e, "type", "None"), - param=getattr(e, "param", "None"), - code=getattr(e, "status_code", 500), + type=openai_error_type(e, error_status_code(e, 500)), + param=openai_error_param(e), + code=error_status_code(e, 500), ) return Response( @@ -608,15 +613,15 @@ async def create_realtime_transcription_session( if isinstance(e, HTTPException): raise ProxyException( message=getattr(e, "detail", getattr(e, "message", str(e))), - type=getattr(e, "type", "None"), - param=getattr(e, "param", "None"), - code=getattr(e, "status_code", http_status.HTTP_400_BAD_REQUEST), + type=openai_error_type(e, error_status_code(e, http_status.HTTP_400_BAD_REQUEST)), + param=openai_error_param(e), + code=error_status_code(e, http_status.HTTP_400_BAD_REQUEST), ) raise ProxyException( message=getattr(e, "message", str(e)), - type=getattr(e, "type", "None"), - param=getattr(e, "param", "None"), - code=getattr(e, "status_code", 500), + type=openai_error_type(e, error_status_code(e, 500)), + param=openai_error_param(e), + code=error_status_code(e, 500), ) if upstream_resp.status_code != 200: diff --git a/litellm/proxy/rerank_endpoints/endpoints.py b/litellm/proxy/rerank_endpoints/endpoints.py index dd5803796b7..16cd7368e4a 100644 --- a/litellm/proxy/rerank_endpoints/endpoints.py +++ b/litellm/proxy/rerank_endpoints/endpoints.py @@ -11,6 +11,11 @@ from litellm._logging import verbose_proxy_logger from litellm.proxy._types import * from litellm.proxy.auth.user_api_key_auth import user_api_key_auth from litellm.proxy.common_request_processing import ProxyBaseLLMRequestProcessing +from litellm.proxy.common_utils.openai_error_payload import ( + error_status_code, + openai_error_param, + openai_error_type, +) router: Final = APIRouter() @@ -112,15 +117,15 @@ async def rerank( if isinstance(e, HTTPException): raise ProxyException( message=getattr(e, "message", str(e)), - type=getattr(e, "type", "None"), - param=getattr(e, "param", "None"), - code=getattr(e, "status_code", status.HTTP_400_BAD_REQUEST), + type=openai_error_type(e, error_status_code(e, status.HTTP_400_BAD_REQUEST)), + param=openai_error_param(e), + code=error_status_code(e, status.HTTP_400_BAD_REQUEST), ) else: error_msg: Final = f"{e}" raise ProxyException( message=getattr(e, "message", error_msg), - type=getattr(e, "type", "None"), - param=getattr(e, "param", "None"), - code=getattr(e, "status_code", 500), + type=openai_error_type(e, error_status_code(e, 500)), + param=openai_error_param(e), + code=error_status_code(e, 500), ) diff --git a/litellm/proxy/spend_tracking/budget_reservation.py b/litellm/proxy/spend_tracking/budget_reservation.py index d9f6e33c43c..bf5eadcd85d 100644 --- a/litellm/proxy/spend_tracking/budget_reservation.py +++ b/litellm/proxy/spend_tracking/budget_reservation.py @@ -173,6 +173,29 @@ def _raise_counter_budget_exceeded( ) +_UNBILLED_ROUTES: Final[frozenset[str]] = frozenset( + { + "/models", + "/v1/models", + "/utils/token_counter", + "/responses/input_tokens", + "/v1/responses/input_tokens", + "/openai/v1/responses/input_tokens", + } +) +_TOKEN_COUNTING_SEGMENTS: Final[frozenset[str]] = frozenset({"count_tokens", "count-tokens"}) +_TOKEN_COUNTING_ACTION: Final = "countTokens" + + +def _is_token_counting_route(route: str) -> bool: + resource, _, action = route.rsplit("/", 1)[-1].partition(":") + return resource in _TOKEN_COUNTING_SEGMENTS or action == _TOKEN_COUNTING_ACTION + + +def _is_unbilled_route(route: str) -> bool: + return route in _UNBILLED_ROUTES or _is_token_counting_route(route) + + async def reserve_budget_for_request( request_body: dict, route: str, @@ -190,14 +213,7 @@ async def reserve_budget_for_request( ) -> dict | None: if valid_token is None or not RouteChecks.is_llm_api_route(route=route): return None - if route in { - "/models", - "/v1/models", - "/utils/token_counter", - "/responses/input_tokens", - "/v1/responses/input_tokens", - "/openai/v1/responses/input_tokens", - }: + if _is_unbilled_route(route): return None if get_model_from_request(request_body, route, llm_router=llm_router) is None: return None diff --git a/litellm/proxy/spend_tracking/key_metadata_recovery.py b/litellm/proxy/spend_tracking/key_metadata_recovery.py index 7de18521edd..29688b61b3d 100644 --- a/litellm/proxy/spend_tracking/key_metadata_recovery.py +++ b/litellm/proxy/spend_tracking/key_metadata_recovery.py @@ -1,5 +1,7 @@ +import asyncio from collections.abc import Awaitable, Callable, Mapping, Sequence from collections.abc import Set as AbstractSet +from datetime import datetime, timedelta from types import MappingProxyType from typing import Final, TypeVar @@ -7,6 +9,13 @@ from pydantic import BaseModel, TypeAdapter from typing_extensions import ReadOnly, TypedDict from litellm._logging import verbose_proxy_logger +from litellm.caching.in_memory_cache import InMemoryCache +from litellm.constants import ( + SPEND_LOG_KEY_METADATA_CACHE_MAX_ITEMS, + SPEND_LOG_KEY_METADATA_CACHE_TTL, + SPEND_LOG_KEY_METADATA_MISS_CACHE_TTL, + SPEND_LOG_KEY_METADATA_QUERY_TIMEOUT_MS, +) from litellm.litellm_core_utils.litellm_logging import is_valid_sha256_hash from litellm.proxy.utils import PrismaClient from litellm.repositories.user_repository import UserRepository @@ -27,6 +36,33 @@ WHERE encode(sha256(convert_to(token, 'UTF8')), 'hex') = ANY($1::text[]) ORDER BY token, deleted_at DESC """ +_SPEND_LOG_ALIAS_SQL: Final = """ +SELECT api_key AS digest, + MIN(key_alias) AS first_alias, + MAX(key_alias) AS last_alias, + MIN(team_id) AS first_team, + MAX(team_id) AS last_team, + MIN(user_id) AS first_owner, + MAX(user_id) AS last_owner +FROM ( + SELECT api_key, + NULLIF(metadata->>'user_api_key_alias', '') AS key_alias, + COALESCE(NULLIF(team_id, ''), NULLIF(metadata->>'user_api_key_team_id', '')) AS team_id, + COALESCE(NULLIF("user", ''), NULLIF(metadata->>'user_api_key_user_id', '')) AS user_id + FROM "LiteLLM_SpendLogs" + WHERE api_key = ANY($1::text[]) + AND "startTime" >= $2::timestamp + AND "startTime" < $3::timestamp +) named +WHERE COALESCE(key_alias, user_id, team_id) IS NOT NULL +GROUP BY api_key +""" + +_SPEND_LOG_STATEMENT_TIMEOUT_SQL: Final = f"SET LOCAL statement_timeout = {SPEND_LOG_KEY_METADATA_QUERY_TIMEOUT_MS}" +_SPEND_LOG_TRANSACTION_TIMEOUT: Final = timedelta(milliseconds=2 * SPEND_LOG_KEY_METADATA_QUERY_TIMEOUT_MS) + +_HASHED_JWT_PREFIX: Final = "hashed-jwt-" + class KeyMetadataDict(TypedDict, total=False): key_alias: ReadOnly[str | None] @@ -42,7 +78,35 @@ class _TokenDigestRow(BaseModel): user_id: str | None = None +def _unanimous(first: str | None, last: str | None) -> str | None: + return first if first == last else None + + +class _SpendLogDigestRow(BaseModel): + digest: str + first_alias: str | None = None + last_alias: str | None = None + first_team: str | None = None + last_team: str | None = None + first_owner: str | None = None + last_owner: str | None = None + + def metadata(self) -> KeyMetadataDict: + return KeyMetadataDict( + key_alias=_unanimous(self.first_alias, self.last_alias), + team_id=_unanimous(self.first_team, self.last_team), + user_id=_unanimous(self.first_owner, self.last_owner), + ) + + _TOKEN_DIGEST_ROWS: Final = TypeAdapter(tuple[_TokenDigestRow, ...]) +_SPEND_LOG_DIGEST_ROWS: Final = TypeAdapter(tuple[_SpendLogDigestRow, ...]) +_CACHED_KEY_METADATA: Final = TypeAdapter(KeyMetadataDict) +_SPEND_LOG_METADATA_CACHE: Final = InMemoryCache( + max_size_in_memory=SPEND_LOG_KEY_METADATA_CACHE_MAX_ITEMS, + default_ttl=SPEND_LOG_KEY_METADATA_CACHE_TTL, +) +_SPEND_LOG_QUERY_LOCK: Final = asyncio.Lock() _EMPTY_KEY_METADATA: Final[Mapping[str, KeyMetadataDict]] = MappingProxyType({}) _EMPTY_EMAILS: Final[Mapping[str, str]] = MappingProxyType({}) @@ -138,14 +202,6 @@ async def recover_double_hashed_key_metadata( prisma_client: PrismaClient, missing_keys: AbstractSet[str], ) -> Mapping[str, KeyMetadataDict]: - """ - Recover key_alias/team_id/user_id for DailyUserSpend.api_key values that - were double-hashed by the v1.99 spend-log provenance gate. - - Those rows store hash(VerificationToken.token) instead of the token, so the - exact join misses. Postgres hashes the token column itself, one pass over - active keys and one over deleted keys, so no key row crosses the wire. - """ sha_missing: Final = frozenset(key for key in missing_keys if is_valid_sha256_hash(key)) if not sha_missing: return _EMPTY_KEY_METADATA @@ -168,6 +224,117 @@ async def recover_double_hashed_key_metadata( return MappingProxyType({**from_active, **from_deleted}) +def _is_spend_log_digest(key: str) -> bool: + return is_valid_sha256_hash(key.removeprefix(_HASHED_JWT_PREFIX)) + + +def _spend_log_cache_key(digest: str, window: tuple[datetime, datetime]) -> str: + start, end = window + return f"spend_log_key_metadata:{digest}:{start.isoformat()}:{end.isoformat()}" + + +def _cached_spend_log_metadata( + cache: InMemoryCache, + digests: AbstractSet[str], + window: tuple[datetime, datetime], +) -> Mapping[str, KeyMetadataDict]: + return MappingProxyType( + { + digest: _CACHED_KEY_METADATA.validate_python(cached) + for digest in digests + for cached in (cache.get_cache(_spend_log_cache_key(digest, window)),) + if cached is not None + } + ) + + +async def _spend_log_rows_within_the_statement_timeout( + prisma_client: PrismaClient, + digests: AbstractSet[str], + window: tuple[datetime, datetime], +) -> Sequence[Mapping[str, object]]: + start, end = window + async with prisma_client.db.tx(timeout=_SPEND_LOG_TRANSACTION_TIMEOUT) as transaction: + await transaction.execute_raw(_SPEND_LOG_STATEMENT_TIMEOUT_SQL) + return await transaction.query_raw(_SPEND_LOG_ALIAS_SQL, sorted(digests), start, end) + + +async def _query_spend_log_metadata( + prisma_client: PrismaClient, + digests: AbstractSet[str], + window: tuple[datetime, datetime], +) -> Mapping[str, KeyMetadataDict] | None: + rows: Final = await _db_or_empty( + lambda: _spend_log_rows_within_the_statement_timeout(prisma_client, digests, window), + "Failed spend-log alias recovery for %d missing keys: %s", + len(digests), + ) + if rows is None: + return None + return MappingProxyType( + { + row.digest: meta + for row in _SPEND_LOG_DIGEST_ROWS.validate_python(rows) + for meta in (row.metadata(),) + if row.digest in digests and any(meta.values()) + } + ) + + +def _remember_spend_log_metadata( + cache: InMemoryCache, digest: str, window: tuple[datetime, datetime], meta: KeyMetadataDict | None +) -> None: + key: Final = _spend_log_cache_key(digest, window) + if meta is not None: + cache.set_cache(key, meta) + return + missed_before: Final = f"{key}:missed-before" + if cache.get_cache(missed_before) is not None: + cache.set_cache(key, KeyMetadataDict()) + return + cache.set_cache(key, KeyMetadataDict(), ttl=SPEND_LOG_KEY_METADATA_MISS_CACHE_TTL) + cache.set_cache(missed_before, True) + + +async def _spend_log_metadata_one_query_at_a_time( + prisma_client: PrismaClient, + cache: InMemoryCache, + lock: asyncio.Lock, + digests: AbstractSet[str], + window: tuple[datetime, datetime], +) -> Mapping[str, KeyMetadataDict]: + async with lock: + settled: Final = _cached_spend_log_metadata(cache, digests, window) + pending: Final = digests - frozenset(settled) + fresh: Final = ( + await _query_spend_log_metadata(prisma_client, pending, window) if pending else _EMPTY_KEY_METADATA + ) + found: Final = fresh if fresh is not None else _EMPTY_KEY_METADATA + for digest in pending: + _remember_spend_log_metadata(cache, digest, window, found.get(digest)) + return MappingProxyType({**settled, **found}) + + +async def recover_key_metadata_from_spend_logs( + prisma_client: PrismaClient, + missing_keys: AbstractSet[str], + window: tuple[datetime, datetime], + cache: InMemoryCache = _SPEND_LOG_METADATA_CACHE, + lock: asyncio.Lock = _SPEND_LOG_QUERY_LOCK, +) -> Mapping[str, KeyMetadataDict]: + digests: Final = frozenset(key for key in missing_keys if _is_spend_log_digest(key)) + if not digests: + return _EMPTY_KEY_METADATA + cached: Final = _cached_spend_log_metadata(cache, digests, window) + uncached: Final = digests - frozenset(cached) + settled: Final = ( + await _spend_log_metadata_one_query_at_a_time(prisma_client, cache, lock, uncached, window) + if uncached + else _EMPTY_KEY_METADATA + ) + return MappingProxyType({digest: meta for digest, meta in (*cached.items(), *settled.items()) if meta}) + + def _row_with_recovered_fields( row: Mapping[str, object], recovered: Mapping[str, KeyMetadataDict], diff --git a/litellm/proxy/utils.py b/litellm/proxy/utils.py index 67a579c4d15..f323f40dbf1 100644 --- a/litellm/proxy/utils.py +++ b/litellm/proxy/utils.py @@ -37,6 +37,7 @@ from litellm.proxy._types import ( SpendLogsMetadata, SpendLogsPayload, ) +from litellm.proxy.common_utils.openai_error_payload import openai_error_param from litellm.proxy.spend_tracking.spend_log_error_logger import spend_log_error from litellm.types.guardrails import GuardrailEventHooks from litellm.types.proxy.model_listing import ModelInfoResponse @@ -3843,7 +3844,7 @@ class _StaleReadEngine: class PrismaClient: spend_log_transactions: list = [] _spend_log_transactions_lock = asyncio.Lock() - spend_log_flush_requested: ClassVar[asyncio.Event] = asyncio.Event() + spend_log_flush_requested: "asyncio.Event | None" = None spend_log_queue_bytes: ClassVar[int] = 0 spend_logs_queue_monitor_task: "asyncio.Task[None] | None" = None tool_usage_transactions: list["ToolUsageTransaction"] = [] @@ -6569,23 +6570,27 @@ async def enqueue_spend_logs( ) -def request_spend_log_flush() -> None: - """Wake the queue monitor now rather than leaving the rows for its next poll. +def request_spend_log_flush(prisma_client: PrismaClient) -> None: + """Wake this client's queue monitor now rather than leaving the rows for its next poll. The Responses API hands the client an id it can chain from straight away, and that lookup reads the DB, so the row cannot sit in this worker's queue for a poll interval. Repeated requests coalesce into the monitor's next pass, so the batching holds. + A request made before the monitor is running is dropped, and loses nothing: the + monitor reads the queue on its first pass, before it ever waits on a request. """ - PrismaClient.spend_log_flush_requested.set() + flush_requested: Final = prisma_client.spend_log_flush_requested + if flush_requested is not None: + flush_requested.set() -async def _wait_for_spend_log_flush_request(interval: float) -> bool: +async def _wait_for_spend_log_flush_request(flush_requested: asyncio.Event, interval: float) -> bool: """Wait out ``interval``, returning early and True when a flush was requested.""" try: - await asyncio.wait_for(PrismaClient.spend_log_flush_requested.wait(), timeout=interval) + await asyncio.wait_for(flush_requested.wait(), timeout=interval) except asyncio.TimeoutError: return False - PrismaClient.spend_log_flush_requested.clear() + flush_requested.clear() return True @@ -7012,6 +7017,8 @@ async def _monitor_spend_logs_queue( max_backoff: Final = 30.0 # Maximum backoff interval in seconds backoff_multiplier: Final = 1.5 # Exponential backoff multiplier current_interval = base_interval + flush_requested: Final = asyncio.Event() + prisma_client.spend_log_flush_requested = flush_requested # rebind-ok: the client owns its monitor's flush signal verbose_proxy_logger.info( "Starting spend logs queue monitor (threshold: %s, poll_interval: %ss)", threshold, base_interval @@ -7050,7 +7057,7 @@ async def _monitor_spend_logs_queue( # Exponential backoff when no logs to process current_interval = min(current_interval * backoff_multiplier, max_backoff) - if await _wait_for_spend_log_flush_request(current_interval): + if await _wait_for_spend_log_flush_request(flush_requested, current_interval): current_interval = base_interval except Exception as e: spend_log_error("Error in spend logs queue monitor: %s", str(e), exc=e) @@ -7435,7 +7442,7 @@ def handle_exception_on_proxy(e: Exception) -> ProxyException: return ProxyException( message=getattr(e, "detail", f"error({e})"), type=ProxyErrorTypes.internal_server_error, - param=getattr(e, "param", "None"), + param=openai_error_param(e), code=getattr(e, "status_code", status.HTTP_500_INTERNAL_SERVER_ERROR), ) elif isinstance(e, ProxyException): @@ -7444,7 +7451,7 @@ def handle_exception_on_proxy(e: Exception) -> ProxyException: return ProxyException( message=str(e), type=ProxyErrorTypes.internal_server_error, - param=getattr(e, "param", "None"), + param=openai_error_param(e), code=_status_code, ) diff --git a/litellm/responses/utils.py b/litellm/responses/utils.py index 540d492beec..599e978df6a 100644 --- a/litellm/responses/utils.py +++ b/litellm/responses/utils.py @@ -543,6 +543,49 @@ class ResponsesAPIRequestUtils: return request_input + @staticmethod + def strip_encrypted_reasoning_from_input(request_input: object) -> None: + """Drop reasoning items the routed deployment cannot decrypt, keeping their readable summary. + + Mutates ``request_input`` in place: the router's fallback snapshot shares this + list object, so a rebound list would replay the stripped items on the fallback hop. + """ + if not isinstance(request_input, list): + return + items: Final = cast(list[object], request_input) # cast-ok: untyped client json + stripped: Final = tuple(ResponsesAPIRequestUtils._without_encrypted_reasoning(item) for item in items) + items[:] = (item for item in stripped if item is not None) # rebind-ok: list shared with fallback snapshot + + @staticmethod + def _without_encrypted_reasoning(item: object) -> object | None: + if not isinstance(item, dict): + return item + reasoning: Final = cast(Mapping[str, object], item) # cast-ok: untyped client json + if reasoning.get("type") != "reasoning" or not reasoning.get("encrypted_content"): + return reasoning + readable: Final = any( + ResponsesAPIRequestUtils._has_readable_text(reasoning.get(key)) for key in ("summary", "content") + ) + if not readable: + return None + kept: Final[dict[str, object]] = { # mutable-ok: request item rebuilt without the undecryptable keys + key: value for key, value in reasoning.items() if key not in ("encrypted_content", "id") + } + return kept + + @staticmethod + def _has_readable_text(value: object) -> bool: + """A reasoning item's ``summary``/``content`` carries readable text: a non-empty string, or a + list holding at least one block with a non-empty ``text`` field (summary_text / output_text).""" + if isinstance(value, str): + return bool(value.strip()) + if isinstance(value, list): + return any( + isinstance(block, dict) and bool(cast(Mapping[str, object], block).get("text")) # cast-ok: untyped json + for block in value + ) + return False + @staticmethod def _build_responses_api_response_id( custom_llm_provider: str | None, diff --git a/litellm/router.py b/litellm/router.py index e1095fe26f3..68ace283949 100644 --- a/litellm/router.py +++ b/litellm/router.py @@ -1317,6 +1317,43 @@ class Router: if isinstance(litellm.input_callback, list): litellm.input_callback = [c for c in litellm.input_callback if id(c) not in selector_ids] + def _apply_updated_routing_strategy_args(self) -> None: + """ + Re-link the default group's selector to the current `routing_strategy_args`. + + Selectors freeze their `RoutingArgs` at construction, so a runtime args + update would otherwise keep serving the boot-time values until restart. + Latency/usage state survives the rebuild: it lives in the shared router + cache, not on the selector. + """ + strategy: Final = self._normalize_strategy(self.routing_strategy) + if strategy == "lar1": + from litellm.router_strategy.lar1_routing import apply_lar1_routing_strategy + + apply_lar1_routing_strategy(self, self.routing_strategy_args) + return + + attr: Final = self._DEFAULT_SELECTOR_ATTR_BY_STRATEGY.get(strategy or "") + current: Final = getattr(self, attr, None) if attr is not None else None + if attr is None or current is None: + return + + try: + rebuilt: Final = self._build_strategy_selector( + strategy=strategy or "", + routing_strategy_args=self.routing_strategy_args, + ) + except (TypeError, ValidationError): + verbose_router_logger.exception( + "Invalid routing_strategy_args %s for '%s'; keeping the previous ones", + self.routing_strategy_args, + strategy, + ) + return + + self._unregister_router_selectors((current,)) + setattr(self, attr, rebuilt) + def routing_strategy_init(self, routing_strategy: RoutingStrategy | str, routing_strategy_args: dict): verbose_router_logger.info("Routing strategy: %s", routing_strategy) self._validate_routing_strategy(routing_strategy) @@ -3656,6 +3693,13 @@ class Router: effective_model_info: Final = kwargs.get("model_info") or deployment.get("model_info") or MappingProxyType({}) self._set_failed_deployment_id_on_exception(exception, MappingProxyType({"model_info": effective_model_info})) + @staticmethod + def _stamp_retry_skip_deployment_id(exception: Exception, kwargs: Mapping[str, object]) -> None: + effective_model_info: Final = kwargs.get("model_info") + deployment_id: Final = effective_model_info.get("id") if isinstance(effective_model_info, Mapping) else None + if isinstance(deployment_id, str) and deployment_id: + exception.retry_skip_deployment_id = deployment_id # pyright: ignore[reportAttributeAccessIssue] # dynamic stamp, read by _deployment_ids_to_skip_on_retry + def _update_kwargs_with_default_litellm_params( self, kwargs: dict, metadata_variable_name: str | None = "metadata" ) -> None: @@ -4358,6 +4402,7 @@ class Router: model=model, messages=[{"role": "user", "content": "prompt"}], specific_deployment=kwargs.pop("specific_deployment", None), + request_kwargs=kwargs, ) self._update_kwargs_with_deployment(deployment=deployment, kwargs=kwargs) data: Final = deployment["litellm_params"].copy() @@ -4388,6 +4433,7 @@ class Router: verbose_router_logger.info("litellm.image_generation(model=%s)\x1b[31m Exception %s\x1b[0m", model_name, e) if model_name is not None: self.fail_calls[model_name] += 1 + self._stamp_retry_skip_deployment_id(e, kwargs) raise e async def aimage_generation(self, prompt: str, model: str, **kwargs): @@ -4472,6 +4518,7 @@ class Router: verbose_router_logger.info("litellm.aimage_generation(model=%s)\x1b[31m Exception %s\x1b[0m", model_name, e) if model_name is not None: self.fail_calls[model_name] += 1 + self._stamp_retry_skip_deployment_id(e, kwargs) raise e async def atranscription(self, file: FileTypes, model: str, **kwargs): @@ -4576,6 +4623,7 @@ class Router: verbose_router_logger.info("litellm.atranscription(model=%s)\x1b[31m Exception %s\x1b[0m", model_name, e) if model_name is not None: self.fail_calls[model_name] += 1 + self._stamp_retry_skip_deployment_id(e, kwargs) raise e async def aspeech(self, model: str, input: str, voice: str | None = None, **kwargs): @@ -4690,6 +4738,7 @@ class Router: verbose_router_logger.info("litellm.aspeech(model=%s)\x1b[31m Exception %s\x1b[0m", model_name, e) if model_name is not None: self.fail_calls[model_name] += 1 + self._stamp_retry_skip_deployment_id(e, kwargs) raise e async def arerank(self, model: str, **kwargs): @@ -4748,6 +4797,7 @@ class Router: verbose_router_logger.info("litellm.arerank(model=%s)\x1b[31m Exception %s\x1b[0m", model_name, e) if model_name is not None: self.fail_calls[model_name] += 1 + self._stamp_retry_skip_deployment_id(e, kwargs) raise e def text_completion( @@ -4882,6 +4932,7 @@ class Router: verbose_router_logger.info("litellm.atext_completion(model=%s)\x1b[31m Exception %s\x1b[0m", model, e) if model is not None: self.fail_calls[model] += 1 + self._stamp_retry_skip_deployment_id(e, kwargs) raise e async def aadapter_completion( @@ -4972,6 +5023,7 @@ class Router: verbose_router_logger.info("litellm.aadapter_completion(model=%s)\x1b[31m Exception %s\x1b[0m", model, e) if model is not None: self.fail_calls[model] += 1 + self._stamp_retry_skip_deployment_id(e, kwargs) raise e async def _asearch_with_fallbacks(self, original_function: Callable, **kwargs): @@ -5754,6 +5806,7 @@ class Router: model=model, input=input, specific_deployment=kwargs.pop("specific_deployment", None), + request_kwargs=kwargs, ) self._update_kwargs_with_deployment(deployment=deployment, kwargs=kwargs) data: Final = deployment["litellm_params"].copy() @@ -5792,6 +5845,7 @@ class Router: verbose_router_logger.info("litellm.embedding(model=%s)\x1b[31m Exception %s\x1b[0m", model_name, e) if model_name is not None: self.fail_calls[model_name] += 1 + self._stamp_retry_skip_deployment_id(e, kwargs) raise e async def aembedding( @@ -5879,6 +5933,7 @@ class Router: verbose_router_logger.info("litellm.aembedding(model=%s)\x1b[31m Exception %s\x1b[0m", model_name, e) if model_name is not None: self.fail_calls[model_name] += 1 + self._stamp_retry_skip_deployment_id(e, kwargs) raise e #### FILES API #### @@ -6252,6 +6307,7 @@ class Router: ) if model is not None: self.fail_calls[model] += 1 + self._stamp_retry_skip_deployment_id(e, kwargs) raise e async def aretrieve_batch( @@ -6472,6 +6528,7 @@ class Router: ) if model is not None: self.fail_calls[model] += 1 + self._stamp_retry_skip_deployment_id(e, kwargs) raise e async def alist_batches( @@ -7589,7 +7646,9 @@ class Router: @staticmethod def _deployment_ids_to_skip_on_retry(exception: Exception, already_skipped: object) -> tuple[str, ...]: - failed_deployment_id: Final[str | None] = getattr(exception, "failed_deployment_id", None) + failed_deployment_id: Final[str | None] = getattr(exception, "retry_skip_deployment_id", None) or getattr( + exception, "failed_deployment_id", None + ) status_code: Final = getattr(exception, "status_code", None) if not failed_deployment_id or not isinstance(status_code, int): return () @@ -11108,6 +11167,40 @@ class Router: return ids + def get_candidate_model_ids_for_route(self, model: str, team_id: str | None = None) -> frozenset[str]: + """ + Deployment ids that could serve ``model`` for ``team_id``, unioned across the paths + the router resolves a route through: ``model_group_alias``, a routing group, the + ``model_name`` and team indexes, and wildcard pattern routes. Read-only and + side-effect-free, unlike ``_common_checks_available_deployment`` which also applies + fallbacks and can raise. Lets a pre-call check tell a genuine cross-group route from + same-group unavailability without re-deriving that precedence at the call site, and + without leaking deployment ids into request kwargs bound for the provider. + """ + resolved: Final = self._get_model_from_alias(model=model) or model + routing_group_members: Final = self._get_routing_group_deployments(model=resolved, team_id=team_id) + if routing_group_members is not None: + return self._deployment_ids(routing_group_members) + if resolved in self.model_names: + return self._deployment_ids(self._get_all_deployments(model_name=resolved, team_id=team_id)) + team_router: Final = self.team_pattern_routers.get(team_id) if team_id is not None else None + return self._deployment_ids( + ( + *self._get_all_deployments(model_name=resolved, team_id=team_id), + *(self.pattern_router.route(resolved) or ()), + *((team_router.route(resolved) or ()) if team_router is not None else ()), + ) + ) + + @staticmethod + def _deployment_ids(deployments: Sequence[Mapping[str, object]]) -> frozenset[str]: + return frozenset( + str(model_info["id"]) + for deployment in deployments + for model_info in (deployment.get("model_info"),) + if isinstance(model_info, Mapping) and model_info.get("id") is not None + ) + def has_model_id(self, candidate_id: str) -> bool: """ O(1) membership check for a deployment ID without allocating large lists. @@ -11825,7 +11918,7 @@ class Router: _existing_router_settings: Final = self.get_settings() rebuild_routing_groups = False - relink_lar1_from_args = False + routing_args_updated = False for var in kwargs: if var in RUNTIME_UPDATABLE_ROUTER_SETTINGS: if var in _int_settings: @@ -11864,15 +11957,13 @@ class Router: ) rebuild_routing_groups = True elif var == "routing_strategy_args": - relink_lar1_from_args = True + routing_args_updated = True setattr(self, var, value) else: verbose_router_logger.debug("Setting %s is not allowed", var) - if relink_lar1_from_args and self._normalize_strategy(self.routing_strategy) == "lar1": - from litellm.router_strategy.lar1_routing import apply_lar1_routing_strategy - - apply_lar1_routing_strategy(self, self.routing_strategy_args) + if routing_args_updated: + self._apply_updated_routing_strategy_args() if rebuild_routing_groups: self._init_routing_groups(self._routing_groups_input) diff --git a/litellm/router_strategy/complexity_router/classification_rubrics.py b/litellm/router_strategy/complexity_router/classification_rubrics.py index 9f168eabbc4..1dae2902fad 100644 --- a/litellm/router_strategy/complexity_router/classification_rubrics.py +++ b/litellm/router_strategy/complexity_router/classification_rubrics.py @@ -108,6 +108,11 @@ _CALIBRATION_EXAMPLES: Final[Mapping[ClassificationRubric, str]] = MappingProxyT BUSINESS_TIER_CRITERIA: Final[Mapping[ComplexityTier, str]] = MappingProxyType( { + ComplexityTier.NON_REASONING: ( + "operational requests whose whole job is to pass information along or put it in a requested " + "shape: relaying or reformatting tool or system output, acknowledging a completed action, or " + "extracting a stated field. Use it only when no judgment about the content is asked for." + ), ComplexityTier.SIMPLE: ( "greetings, chitchat, or lookups of a fact, policy, price, or date with a short known answer. " "Never for analysis, strategy, or non-trivial work, even if the request is only one sentence." diff --git a/litellm/router_strategy/complexity_router/complexity_router.py b/litellm/router_strategy/complexity_router/complexity_router.py index f9b4f50c15c..62b30365f4a 100644 --- a/litellm/router_strategy/complexity_router/complexity_router.py +++ b/litellm/router_strategy/complexity_router/complexity_router.py @@ -118,8 +118,20 @@ def _tier_name(tier: ComplexityTier | str) -> str: return tier.value if isinstance(tier, ComplexityTier) else tier +def _built_in_tier_or_none(tier_name: str) -> ComplexityTier | None: + """The built-in tier a `tiers` key names, or None when the key is an operator-defined name.""" + return ComplexityTier.__members__.get(tier_name) + + _CLASSIFICATION_TIER_CRITERIA: Final[Mapping[ComplexityTier, str]] = MappingProxyType( { + ComplexityTier.NON_REASONING: ( + "operational requests whose whole job is to pass information along or put it in a " + "requested shape: relaying or reformatting tool output, acknowledging a completed action, " + "or extracting a stated value. Use it only when no judgment about the content is asked for; " + "the moment the request is to summarize, compare, explain, debug, or decide, it belongs " + "in a higher tier however short it is." + ), ComplexityTier.SIMPLE: ( "greetings, chitchat, or factual lookups with a short known answer. Do not use this tier for " "unsolved problems, proofs, deep theory, multi-step analysis, or non-trivial code, even if the " @@ -1244,7 +1256,7 @@ class ComplexityRouter(CustomLogger): """ if self.config.has_custom_tiers: return tuple(dict.fromkeys(model for models in self._tier_pools().values() for model in models)) - for tier in reversed(TIER_SEVERITY_ORDER): + for tier in reversed(self.config.active_tier_severity_order()): models = self.config.tiers.get(tier.value) if models: return tuple(models) if isinstance(models, list) else (models,) @@ -1890,7 +1902,11 @@ class ComplexityRouter(CustomLogger): default_model: Final = self.config.default_model pools: Final = self._tier_pools() tier: Final = next( - (candidate for candidate in TIER_SEVERITY_ORDER if default_model in pools.get(candidate.value, ())), + ( + candidate + for candidate in self.config.active_tier_severity_order() + if default_model in pools.get(candidate.value, ()) + ), ComplexityTier.MEDIUM, ) return ClassificationOutcome( @@ -2279,7 +2295,8 @@ class ComplexityRouter(CustomLogger): return self._fitting_tier_fallback(classified_tier, fit_filter) request_type: Final = classify_prompt(user_message) - classified_idx: Final = TIER_SEVERITY_ORDER.index(classified_tier) + severity_order: Final = self.config.active_tier_severity_order() + classified_idx: Final = severity_order.index(classified_tier) pools: Final = self._tier_pools() classified_candidates: Final = _allowed(tuple(pools.get(_tier_name(classified_tier), ())), fit_filter) cold_start_candidates: Final = tuple( @@ -2343,9 +2360,7 @@ class ComplexityRouter(CustomLogger): distance = 0 else: model_tiers = self._model_tiers.get(model, (classified_tier,)) - distance = min( - abs(TIER_SEVERITY_ORDER.index(model_tier) - classified_idx) for model_tier in model_tiers - ) + distance = min(abs(severity_order.index(model_tier) - classified_idx) for model_tier in model_tiers) score = quality_weight * quality_sample + cost_weight * cost_score - penalty_weight * distance candidate_scores.append( { @@ -2660,10 +2675,15 @@ class ComplexityRouter(CustomLogger): def _tier_for_model(self, model: str) -> ComplexityTier | None: """Return the most-severe configured tier whose pool contains this model.""" pools: Final = self._tier_pools() - matched: Final = tuple(ComplexityTier(tier_name) for tier_name, models in pools.items() if model in models) + order: Final = self.config.active_tier_severity_order() + matched: Final = tuple( + tier + for tier_name, models in pools.items() + if model in models and (tier := _built_in_tier_or_none(tier_name)) is not None and tier in order + ) if not matched: return None - return max(matched, key=TIER_SEVERITY_ORDER.index) + return max(matched, key=order.index) def _escalate_tier(self, tier: ComplexityTier | str) -> ComplexityTier | str: """Bump a tier one step up to the next-higher configured tier. @@ -2678,9 +2698,10 @@ class ComplexityRouter(CustomLogger): if self.config.has_custom_tiers: return tier configured: Final = frozenset(self.config.tiers) - current_index: Final = TIER_SEVERITY_ORDER.index(tier) + order: Final = self.config.active_tier_severity_order() + current_index: Final = order.index(tier) higher_tiers: Final = tuple( - candidate for candidate in TIER_SEVERITY_ORDER[current_index + 1 :] if candidate.value in configured + candidate for candidate in order[current_index + 1 :] if candidate.value in configured ) return higher_tiers[0] if higher_tiers else tier diff --git a/litellm/router_strategy/complexity_router/config.py b/litellm/router_strategy/complexity_router/config.py index 58f56d746c5..d28924c69b2 100644 --- a/litellm/router_strategy/complexity_router/config.py +++ b/litellm/router_strategy/complexity_router/config.py @@ -29,6 +29,7 @@ from .tier_predictor import TrainedTierArtifact class ComplexityTier(str, Enum): """Complexity tiers for routing decisions.""" + NON_REASONING = "NON_REASONING" SIMPLE = "SIMPLE" MEDIUM = "MEDIUM" COMPLEX = "COMPLEX" @@ -62,6 +63,16 @@ TIER_SEVERITY_ORDER: Final[tuple[ComplexityTier, ...]] = ( ComplexityTier.REASONING, ) +NON_REASONING_TIER_SEVERITY_ORDER: Final[tuple[ComplexityTier, ...]] = ( + ComplexityTier.NON_REASONING, + *TIER_SEVERITY_ORDER, +) + + +def tier_severity_order(non_reasoning_enabled: bool) -> tuple[ComplexityTier, ...]: + return NON_REASONING_TIER_SEVERITY_ORDER if non_reasoning_enabled else TIER_SEVERITY_ORDER + + DEFAULT_TIER_DISTANCE_PENALTY: Final[float] = 0.5 DEFAULT_CLASSIFIER_CONTEXT_WINDOW_SIZE: Final[int] = 3 @@ -142,6 +153,9 @@ def normalize_classification_examples(value: str | None) -> str | None: return _normalize_operator_section(value, "classification_examples", MAX_CLASSIFICATION_EXAMPLES_CHARS) +_BUILT_IN_TIER_NAMES: Final[str] = ", ".join(ComplexityTier.__members__) + + class TierDefinition(BaseModel): """An operator-defined tier: the name the LLM classifier must return and its rubric description.""" @@ -152,7 +166,7 @@ class TierDefinition(BaseModel): default=None, description=( "What belongs in this tier; rendered as this tier's bullet in the classifier rubric. " - "Required unless the name is a built-in tier (SIMPLE/MEDIUM/COMPLEX/REASONING), which " + f"Required unless the name is a built-in tier ({_BUILT_IN_TIER_NAMES}), which " "inherits the built-in criteria when omitted" ), ) @@ -174,7 +188,7 @@ class TierDefinition(BaseModel): if description is None and name.upper() not in ComplexityTier.__members__: raise ValueError( f"tier_definitions entry {name!r} must have a description: only the built-in tiers " - "(SIMPLE, MEDIUM, COMPLEX, REASONING) carry one the rubric can inherit" + f"({_BUILT_IN_TIER_NAMES}) carry one the rubric can inherit" ) rendered_on_one_line: Final = (name, description or "") if any("\n" in part or "\r" in part for part in rendered_on_one_line): @@ -711,6 +725,20 @@ class ComplexityRouterConfig(BaseModel): default_factory=dict, ) + enable_non_reasoning_tier: bool = Field( + default=False, + description=( + "Add NON_REASONING as a fifth built-in tier below SIMPLE, for operational agent traffic " + "that relays or reformats information rather than reasoning about it. Off by default: " + "turning it on adds a rung to this router's ladder, a bullet to the LLM classifier's " + "rubric, and a value the classifier may return, all of which move tier decisions and " + "spend on an already-deployed router. Requires an LLM classifier or a custom classifier " + "plugin, since the heuristic scorers cannot produce the tier, and a model in `tiers` " + "under the NON_REASONING key. Escalation still walks up from it, and it is never the " + "savings baseline or a `heuristic_v2` prediction." + ), + ) + tier_definitions: tuple[TierDefinition, ...] | None = Field( default=None, description=( @@ -1514,11 +1542,15 @@ class ComplexityRouterConfig(BaseModel): which still makes it a dependency on every one of those requests.""" return self.classifier_type in LLM_CLASSIFIER_TYPES + def active_tier_severity_order(self) -> tuple[ComplexityTier, ...]: + """This router's built-in ladder, ascending; not meaningful for a custom tier set.""" + return tier_severity_order(self.enable_non_reasoning_tier) + def tier_names(self) -> tuple[str, ...]: """The active tier names: the defined names, or the built-in set in severity order.""" if self.tier_definitions is not None: return tuple(definition.name for definition in self.tier_definitions) - return tuple(tier.value for tier in TIER_SEVERITY_ORDER) + return tuple(tier.value for tier in self.active_tier_severity_order()) def classifier_wire_labels(self) -> tuple[str, ...]: """The tier names the classifier is told to emit: defined names, or the display labels.""" @@ -1610,6 +1642,36 @@ class ComplexityRouterConfig(BaseModel): if present ) + @model_validator(mode="after") + def _validate_non_reasoning_tier(self) -> "ComplexityRouterConfig": + """Require a classifier that can emit the opt-in tier and a model to route it to.""" + non_reasoning_key: Final = ComplexityTier.NON_REASONING.value + if not self.enable_non_reasoning_tier: + if not self.has_custom_tiers and non_reasoning_key in self.tiers: + raise ValueError( + f"tiers names {non_reasoning_key} but enable_non_reasoning_tier is False, so no request " + "can route there; set enable_non_reasoning_tier: true or drop the tier" + ) + return self + if self.has_custom_tiers: + raise ValueError( + "enable_non_reasoning_tier cannot be combined with tier_definitions: a custom tier set " + f"replaces the built-in ladder, so name a tier {non_reasoning_key} in tier_definitions instead" + ) + if self.classifier_type not in ("llm", "custom"): + raise ValueError( + f"enable_non_reasoning_tier requires classifier_type 'llm' or 'custom', got " + f"{self.classifier_type!r}: the heuristic scorers only produce the four tiers from SIMPLE up, " + f"so nothing would ever classify as {non_reasoning_key}" + ) + if not self.tiers.get(non_reasoning_key): + raise ValueError( + f"enable_non_reasoning_tier requires tiers to map {non_reasoning_key} to at least one model: " + "the tier exists to send operational traffic somewhere cheaper, and an unconfigured tier " + "would fall through to the default model" + ) + return self + @model_validator(mode="after") def _validate_tier_definitions(self) -> "ComplexityRouterConfig": if self.tier_definitions is None: @@ -1632,7 +1694,7 @@ class ComplexityRouterConfig(BaseModel): if self.classifier_type in ("heuristic", "heuristic_v2", "heuristic_first", "hybrid"): raise ValueError( "tier_definitions requires classifier_type 'llm' or 'custom': the heuristic scorer only " - "produces the four built-in tiers, as does heuristic_v2" + "produces the built-in tiers from SIMPLE up, as does heuristic_v2" ) conflicts: Final = self._tier_definition_conflicts() if conflicts: @@ -1786,7 +1848,7 @@ class ComplexityRouterConfig(BaseModel): def labeled_tiers(self) -> tuple[tuple[ComplexityTier, str], ...]: """Every tier paired with its display name, in ascending severity order.""" - return tuple((tier, self.tier_label(tier)) for tier in TIER_SEVERITY_ORDER) + return tuple((tier, self.tier_label(tier)) for tier in self.active_tier_severity_order()) def tier_for_label(self, label: str) -> ComplexityTier | None: """Resolve a display name back to its tier, case-insensitively, then canonical names.""" @@ -1794,7 +1856,7 @@ class ComplexityRouterConfig(BaseModel): labeled: Final = self.labeled_tiers() return next( (tier for tier, tier_label in labeled if tier_label.casefold() == folded), - next((tier for tier in TIER_SEVERITY_ORDER if tier.value.casefold() == folded), None), + next((tier for tier, _ in labeled if tier.value.casefold() == folded), None), ) diff --git a/litellm/router_strategy/lowest_latency.py b/litellm/router_strategy/lowest_latency.py index 805d4ff9080..e902192811c 100644 --- a/litellm/router_strategy/lowest_latency.py +++ b/litellm/router_strategy/lowest_latency.py @@ -3,8 +3,11 @@ import random from collections.abc import Sequence from datetime import datetime, timedelta +from math import ceil from typing import TYPE_CHECKING, Any, Final +from pydantic import Field + import litellm from litellm import ModelResponse, token_counter, verbose_logger from litellm.caching.caching import DualCache @@ -24,6 +27,7 @@ class RoutingArgs(LiteLLMPydanticObjectBase): ttl: float = 1 * 60 * 60 # 1 hour lowest_latency_buffer: float = 0 max_latency_list_size: int = 10 + ttft_percentile: float | None = Field(default=None, gt=0, le=1) def _average_latency(samples: Sequence[float]) -> float: @@ -32,6 +36,12 @@ def _average_latency(samples: Sequence[float]) -> float: return sum(samples) / len(samples) +def _percentile_latency(samples: Sequence[float], percentile: float) -> float: + values: Final = sorted(samples) + index: Final = ceil(len(values) * percentile) - 1 + return values[index] + + def _ttft_seconds(elapsed: timedelta | float) -> float: if isinstance(elapsed, timedelta): return elapsed.total_seconds() @@ -427,14 +437,17 @@ class LowestLatencyLoggingHandler(CustomLogger): item_rpm = item_map.get(precise_minute, {}).get("rpm", 0) item_tpm = item_map.get(precise_minute, {}).get("tpm", 0) - # get average latency or average ttft (depending on streaming/non-streaming) use_ttft = ( request_kwargs is not None and request_kwargs.get("stream", None) is not None and request_kwargs["stream"] is True and len(item_ttft_latency) > 0 ) - average_latency = _average_latency(item_ttft_latency if use_ttft else item_latency) + selected_latency = ( + _percentile_latency(item_ttft_latency, self.routing_args.ttft_percentile) + if use_ttft and self.routing_args.ttft_percentile is not None + else _average_latency(item_ttft_latency if use_ttft else item_latency) + ) # -------------- # # Debugging Logic @@ -443,7 +456,7 @@ class LowestLatencyLoggingHandler(CustomLogger): # this helps a user to debug why the router picked a specfic deployment # _deployment_api_base = _deployment.get("litellm_params", {}).get("api_base", "") if _deployment_api_base is not None: - _latency_per_deployment[_deployment_api_base] = average_latency + _latency_per_deployment[_deployment_api_base] = selected_latency # -------------- # # End of Debugging Logic # -------------- # @@ -453,7 +466,7 @@ class LowestLatencyLoggingHandler(CustomLogger): ): # if user passed in tpm / rpm in the model_list continue else: - potential_deployments.append((_deployment, average_latency)) + potential_deployments.append((_deployment, selected_latency)) if len(potential_deployments) == 0: return None diff --git a/litellm/router_utils/pre_call_checks/encrypted_content_affinity_check.py b/litellm/router_utils/pre_call_checks/encrypted_content_affinity_check.py index b623e31ce06..d10153881d9 100644 --- a/litellm/router_utils/pre_call_checks/encrypted_content_affinity_check.py +++ b/litellm/router_utils/pre_call_checks/encrypted_content_affinity_check.py @@ -37,13 +37,13 @@ Safe to enable globally: """ import time +from collections.abc import Mapping from typing import TYPE_CHECKING, Final, Optional, Protocol, cast import httpx from litellm._logging import verbose_router_logger from litellm.exceptions import ( - BadRequestError, RateLimitError, ServiceUnavailableError, ) @@ -158,6 +158,23 @@ class EncryptedContentAffinityCheck(CustomLogger): return deployment return None + @staticmethod + def _request_team_id(request_kwargs: Mapping[str, object]) -> str | None: + containers: Final = (request_kwargs.get("metadata"), request_kwargs.get("litellm_metadata")) + team_ids: Final = (c.get("user_api_key_team_id") for c in containers if isinstance(c, Mapping)) + return next((tid for tid in team_ids if isinstance(tid, str)), None) + + def _routed_group_candidate_model_ids(self, request_kwargs: Mapping[str, object], model: str) -> frozenset[str]: + """ + Deployment ids that could serve this turn's routed ``model``, as the router + resolves a route (model_group_alias / routing group / model_name / team / + pattern). Delegates to the router so the full precedence is not re-derived here + and no deployment ids are written into request kwargs bound for the provider. + """ + if self.router is None: + return frozenset() + return self.router.get_candidate_model_ids_for_route(model=model, team_id=self._request_team_id(request_kwargs)) + @staticmethod def _encryption_boundary_key( litellm_params: object, @@ -225,10 +242,14 @@ class EncryptedContentAffinityCheck(CustomLogger): """ If the request ``input`` contains litellm-encoded item IDs, decode the embedded ``model_id`` and pin the request to that deployment. Raises - ``RateLimitError`` / ``ServiceUnavailableError`` / ``BadRequestError`` - when the originating deployment is unavailable and no encryption-boundary - peer exists, rather than dispatching a doomed request to a non-peer - deployment. The 429/503 split mirrors the originating cooldown's status: + ``RateLimitError`` / ``ServiceUnavailableError`` when the originating + deployment is a member of the routed model group but currently unavailable + and no encryption-boundary peer exists, rather than dispatching a doomed + request to a non-peer deployment. When the origin is not a member of the + routed group (an auto-router tier change, a model switch with no peer, a + removed deployment, or an unknown/forged marker), the encrypted reasoning is + stripped and the request dispatches with its readable history instead. The + 429/503 split mirrors the originating cooldown's status: a 429-induced cooldown surfaces as 429 (with ``Retry-After`` set to the remaining cooldown window) so OpenAI-compatible clients back off and retry after the deployment is eligible again. @@ -285,12 +306,34 @@ class EncryptedContentAffinityCheck(CustomLogger): request_kwargs["_encrypted_content_affinity_pinned"] = True return boundary_matches - # Dispatching to a non-peer would guarantee an upstream - # `invalid_encrypted_content` 400, so fail fast with a clearer error. + # The origin cannot serve this turn's routed group and no peer shares the boundary, so its + # encrypted reasoning can never decrypt here. Strip it, keep the readable history, and dispatch + # to the routed group instead of failing. Membership is tested by deployment id against the set + # the router actually resolved for this route, not by model-group name, so an alias, a + # provider-qualified spelling, a team-public name, or a pattern route of the same group is not + # mistaken for a tier change. An unknown origin (a removed deployment, or a forged marker) is + # treated the same as a cross-group one, which also denies an authenticated caller a + # deployment-id existence oracle: a real cross-group id and a nonexistent id both strip and + # dispatch rather than returning distinguishable responses. Only a genuine same-group member + # that is currently unavailable falls through to the fail-fast, preserving the cooldown contract. + routed_group_model_ids: Final = ( + self._routed_group_candidate_model_ids(request_kwargs, model) if originating is not None else frozenset() + ) + if str(model_id) not in routed_group_model_ids: + verbose_router_logger.debug( + "EncryptedContentAffinityCheck: model_id=%s is not a candidate for the routed group %s; " + "forwarding without its encrypted reasoning", + model_id, + model, + ) + ResponsesAPIRequestUtils.strip_encrypted_reasoning_from_input(request_input) + return typed_healthy_deployments + + # The origin is a member of the routed group but currently unavailable (cooled down); fail fast + # rather than dispatching to a non-peer, which would guarantee an upstream 400. raise await self._unavailable_origin_error( model=model, model_id=model_id, - originating=originating, parent_otel_span=parent_otel_span, ) @@ -298,25 +341,11 @@ class EncryptedContentAffinityCheck(CustomLogger): self, model: str, model_id: str, - originating: Deployment | None, parent_otel_span: Span | None, ) -> Exception: # Public error messages intentionally omit the originating ``model_id`` so # an authenticated caller forging encrypted-content markers cannot use the # error surface to enumerate which deployment IDs exist on this router. - if originating is None: - return BadRequestError( - message=( - "The deployment that produced this encrypted_content is no " - "longer configured on this router, and no deployment on the " - "same encryption boundary is available. Re-issue the request " - "without the stale encrypted_content items, or restore the " - "originating deployment." - ), - model=model, - llm_provider="", - ) - cooldown: Final = await self._get_origin_cooldown(model_id=model_id, parent_otel_span=parent_otel_span) if cooldown is not None and str(cooldown.get("status_code")) == "429": diff --git a/litellm/types/llms/bedrock.py b/litellm/types/llms/bedrock.py index bed0ba3dc08..9f93886a9c6 100644 --- a/litellm/types/llms/bedrock.py +++ b/litellm/types/llms/bedrock.py @@ -1,7 +1,7 @@ import json from collections.abc import Sequence from enum import Enum -from typing import TYPE_CHECKING, Any, Final, Literal +from typing import TYPE_CHECKING, Any, Final, Literal, TypeAlias from typing_extensions import ReadOnly, Required, TypedDict, override @@ -557,7 +557,7 @@ class AmazonTitanMultimodalEmbeddingResponse(TypedDict): message: str # Specifies any errors that occur during generation. -# TwelveLabs Marengo Embed 2.7 types +# TwelveLabs Marengo Embed types TWELVELABS_EMBEDDING_INPUT_TYPES = Literal["text", "image", "video", "audio"] TWELVELABS_EMBEDDING_OPTIONS = Literal["visual-text", "visual-image", "audio"] @@ -591,6 +591,113 @@ class TwelveLabsMarengoEmbeddingResponse(TypedDict): endSec: float +TWELVELABS_MARENGO_3_INPUT_TYPES: TypeAlias = Literal["text", "image", "video", "audio", "text_image", "multi_input"] +TWELVELABS_MARENGO_3_EMBEDDING_OPTIONS: TypeAlias = Literal["visual", "audio", "transcription"] +TWELVELABS_MARENGO_3_EMBEDDING_TYPES: TypeAlias = Literal["separate_embedding", "fused_embedding"] +TWELVELABS_MARENGO_3_EMBEDDING_SCOPES: TypeAlias = Literal["clip", "asset"] + + +class TwelveLabsMarengo3FixedSegmentationConfig(TypedDict): + durationSec: ReadOnly[int] + + +class TwelveLabsMarengo3FixedSegmentation(TypedDict): + method: ReadOnly[Literal["fixed"]] + fixed: ReadOnly[TwelveLabsMarengo3FixedSegmentationConfig] + + +class TwelveLabsMarengo3DynamicSegmentationConfig(TypedDict): + minDurationSec: ReadOnly[int] + + +class TwelveLabsMarengo3DynamicSegmentation(TypedDict): + method: ReadOnly[Literal["dynamic"]] + dynamic: ReadOnly[TwelveLabsMarengo3DynamicSegmentationConfig] + + +TwelveLabsMarengo3Segmentation: TypeAlias = TwelveLabsMarengo3FixedSegmentation | TwelveLabsMarengo3DynamicSegmentation + + +class TwelveLabsMarengo3TextInput(TypedDict): + inputText: ReadOnly[str] + + +class TwelveLabsMarengo3ImageInput(TypedDict): + mediaSource: ReadOnly[TwelveLabsMediaSource] + + +class TwelveLabsMarengo3TimedMediaOptions(TypedDict, total=False): + startSec: ReadOnly[float] + endSec: ReadOnly[float] + segmentation: ReadOnly[TwelveLabsMarengo3Segmentation] + embeddingOption: ReadOnly[Sequence[TWELVELABS_MARENGO_3_EMBEDDING_OPTIONS]] + embeddingType: ReadOnly[Sequence[TWELVELABS_MARENGO_3_EMBEDDING_TYPES]] + embeddingScope: ReadOnly[Sequence[TWELVELABS_MARENGO_3_EMBEDDING_SCOPES]] + + +class TwelveLabsMarengo3TimedMediaInput(TwelveLabsMarengo3TimedMediaOptions): + mediaSource: Required[ReadOnly[TwelveLabsMediaSource]] + + +class TwelveLabsMarengo3TextImageInput(TypedDict): + inputText: ReadOnly[str] + mediaSource: ReadOnly[TwelveLabsMediaSource] + + +class TwelveLabsMarengo3NamedMediaSource(TwelveLabsMediaSource): + name: Required[ReadOnly[str]] + mediaType: Required[ReadOnly[Literal["image"]]] + + +class TwelveLabsMarengo3MultiInput(TypedDict, total=False): + inputText: ReadOnly[str] + mediaSources: Required[ReadOnly[Sequence[TwelveLabsMarengo3NamedMediaSource]]] + + +class TwelveLabsMarengo3RequestBase(TypedDict, total=False): + inferenceId: ReadOnly[str] + + +class TwelveLabsMarengo3TextRequest(TwelveLabsMarengo3RequestBase): + inputType: ReadOnly[Literal["text"]] + text: ReadOnly[TwelveLabsMarengo3TextInput] + + +class TwelveLabsMarengo3ImageRequest(TwelveLabsMarengo3RequestBase): + inputType: ReadOnly[Literal["image"]] + image: ReadOnly[TwelveLabsMarengo3ImageInput] + + +class TwelveLabsMarengo3VideoRequest(TwelveLabsMarengo3RequestBase): + inputType: ReadOnly[Literal["video"]] + video: ReadOnly[TwelveLabsMarengo3TimedMediaInput] + + +class TwelveLabsMarengo3AudioRequest(TwelveLabsMarengo3RequestBase): + inputType: ReadOnly[Literal["audio"]] + audio: ReadOnly[TwelveLabsMarengo3TimedMediaInput] + + +class TwelveLabsMarengo3TextImageRequest(TwelveLabsMarengo3RequestBase): + inputType: ReadOnly[Literal["text_image"]] + text_image: ReadOnly[TwelveLabsMarengo3TextImageInput] + + +class TwelveLabsMarengo3MultiInputRequest(TwelveLabsMarengo3RequestBase): + inputType: ReadOnly[Literal["multi_input"]] + multi_input: ReadOnly[TwelveLabsMarengo3MultiInput] + + +TwelveLabsMarengo3EmbeddingRequest: TypeAlias = ( + TwelveLabsMarengo3TextRequest + | TwelveLabsMarengo3ImageRequest + | TwelveLabsMarengo3VideoRequest + | TwelveLabsMarengo3AudioRequest + | TwelveLabsMarengo3TextImageRequest + | TwelveLabsMarengo3MultiInputRequest +) + + class TwelveLabsS3OutputDataConfig(TypedDict): s3Uri: str @@ -601,7 +708,7 @@ class TwelveLabsOutputDataConfig(TypedDict): class TwelveLabsAsyncInvokeRequest(TypedDict): modelId: str - modelInput: TwelveLabsMarengoEmbeddingRequest + modelInput: ReadOnly[TwelveLabsMarengoEmbeddingRequest | TwelveLabsMarengo3EmbeddingRequest] outputDataConfig: TwelveLabsOutputDataConfig diff --git a/litellm/types/utils.py b/litellm/types/utils.py index 40a6d77482f..d62f00f3676 100644 --- a/litellm/types/utils.py +++ b/litellm/types/utils.py @@ -272,7 +272,7 @@ class ModelInfoBase(ProviderSpecificModelInfo, total=False): input_cost_per_token_above_272k_tokens_flex: float | None input_cost_per_token_above_512k_tokens: float | None # MiniMax-M3: prompts >512K priced at 2x input input_cost_per_character_above_128k_tokens: float | None # only for vertex ai models - input_cost_per_query: float | None # only for rerank models + input_cost_per_query: float | None # per-request pricing: rerank, search, and Bedrock Marengo embeddings input_cost_per_image: float | None # only for vertex ai models input_cost_per_image_token: float | None # for gpt-image-1 and similar models input_cost_per_video_token: float | None # for gemini omni models with video input @@ -1694,6 +1694,9 @@ class PromptTokensDetailsWrapper( audio_length_seconds: float | None = None """Length of audio sent to the model. Used for multimodal embeddings priced per audio-second.""" + query_count: int | None = None + """Number of billable requests sent to the model. Used for embeddings priced per request, such as Bedrock Marengo.""" + cache_write_tokens: int | None = None """Number of cache write (creation) tokens sent to the model. OpenAI naming (prompt_tokens_details.cache_write_tokens); this is the canonical field.""" @@ -1735,6 +1738,8 @@ class PromptTokensDetailsWrapper( del self.video_length_seconds if self.audio_length_seconds is None: del self.audio_length_seconds + if self.query_count is None: + del self.query_count if self.web_search_requests is None: del self.web_search_requests if self.google_maps_grounding_requests is None: diff --git a/litellm/utils.py b/litellm/utils.py index 33ef57e1837..8df28870544 100644 --- a/litellm/utils.py +++ b/litellm/utils.py @@ -3079,7 +3079,7 @@ def register_model( # Convert stringified numbers to appropriate numeric types loaded_model_cost = model_cost elif isinstance(model_cost, str): - loaded_model_cost = litellm.get_model_cost_map(url=model_cost) + loaded_model_cost = litellm.get_model_cost_map(url=model_cost, max_attempts=1) if persist_across_reloads: _registrations: Final[Mapping[str, Mapping[str, object]]] = loaded_model_cost @@ -3632,7 +3632,7 @@ def get_optional_params_embeddings( elif "cohere.embed" in model: object = litellm.BedrockCohereEmbeddingConfig() elif "twelvelabs" in model or "marengo" in model: - object = litellm.TwelveLabsMarengoEmbeddingConfig() + object = litellm.TwelveLabsMarengoEmbeddingConfig(model=model) elif "nova" in model.lower(): object = litellm.AmazonNovaEmbeddingConfig() else: # unmapped model @@ -6043,7 +6043,7 @@ def get_model_info( input_cost_per_character_above_128k_tokens: Optional[ float ] # only for vertex ai models - input_cost_per_query: Optional[float] # only for rerank models + input_cost_per_query: Optional[float] # per-request pricing: rerank, search, and Bedrock Marengo embeddings input_cost_per_image: Optional[float] # only for vertex ai models input_cost_per_audio_token: Optional[float] input_cost_per_audio_per_second: Optional[float] # only for vertex ai models diff --git a/model_prices_and_context_window.json b/model_prices_and_context_window.json index b1ffc1583e4..54ebdc85be9 100644 --- a/model_prices_and_context_window.json +++ b/model_prices_and_context_window.json @@ -650,7 +650,10 @@ }, "twelvelabs.marengo-embed-2-7-v1:0": { "deprecation_date": "2026-11-30", - "input_cost_per_token": 7e-05, + "input_cost_per_query": 7e-05, + "input_cost_per_video_per_second": 0.0007, + "input_cost_per_audio_per_second": 0.00014, + "input_cost_per_image": 0.0001, "litellm_provider": "bedrock", "max_input_tokens": 77, "max_tokens": 77, @@ -662,7 +665,7 @@ }, "us.twelvelabs.marengo-embed-2-7-v1:0": { "deprecation_date": "2026-11-30", - "input_cost_per_token": 7e-05, + "input_cost_per_query": 7e-05, "input_cost_per_video_per_second": 0.0007, "input_cost_per_audio_per_second": 0.00014, "input_cost_per_image": 0.0001, @@ -677,7 +680,7 @@ }, "eu.twelvelabs.marengo-embed-2-7-v1:0": { "deprecation_date": "2026-11-30", - "input_cost_per_token": 7e-05, + "input_cost_per_query": 7e-05, "input_cost_per_video_per_second": 0.0007, "input_cost_per_audio_per_second": 0.00014, "input_cost_per_image": 0.0001, @@ -690,6 +693,48 @@ "supports_embedding_image_input": true, "supports_image_input": true }, + "twelvelabs.marengo-embed-3-0-v1:0": { + "input_cost_per_query": 7e-05, + "input_cost_per_video_per_second": 0.0007, + "input_cost_per_audio_per_second": 0.00014, + "input_cost_per_image": 0.0001, + "litellm_provider": "bedrock", + "max_input_tokens": 500, + "max_tokens": 500, + "mode": "embedding", + "output_cost_per_token": 0.0, + "output_vector_size": 512, + "supports_embedding_image_input": true, + "supports_image_input": true + }, + "us.twelvelabs.marengo-embed-3-0-v1:0": { + "input_cost_per_query": 7e-05, + "input_cost_per_video_per_second": 0.0007, + "input_cost_per_audio_per_second": 0.00014, + "input_cost_per_image": 0.0001, + "litellm_provider": "bedrock", + "max_input_tokens": 500, + "max_tokens": 500, + "mode": "embedding", + "output_cost_per_token": 0.0, + "output_vector_size": 512, + "supports_embedding_image_input": true, + "supports_image_input": true + }, + "eu.twelvelabs.marengo-embed-3-0-v1:0": { + "input_cost_per_query": 7e-05, + "input_cost_per_video_per_second": 0.0007, + "input_cost_per_audio_per_second": 0.00014, + "input_cost_per_image": 0.0001, + "litellm_provider": "bedrock", + "max_input_tokens": 500, + "max_tokens": 500, + "mode": "embedding", + "output_cost_per_token": 0.0, + "output_vector_size": 512, + "supports_embedding_image_input": true, + "supports_image_input": true + }, "twelvelabs.pegasus-1-2-v1:0": { "input_cost_per_video_per_second": 0.00049, "output_cost_per_token": 7.5e-06, @@ -3581,6 +3626,79 @@ "supports_xhigh_reasoning_effort": true, "supports_minimal_reasoning_effort": false }, + "azure_ai/gpt-chat-latest": { + "cache_read_input_token_cost": 5e-07, + "deprecation_date": "2026-12-02", + "input_cost_per_token": 5e-06, + "litellm_provider": "azure_ai", + "max_input_tokens": 272000, + "max_output_tokens": 128000, + "max_tokens": 128000, + "mode": "chat", + "output_cost_per_token": 3e-05, + "source": "https://azure.microsoft.com/en-us/pricing/details/cognitive-services/openai-service/", + "supported_endpoints": [ + "/v1/chat/completions", + "/v1/responses" + ], + "supported_modalities": [ + "text", + "image" + ], + "supported_output_modalities": [ + "text" + ], + "supports_function_calling": true, + "supports_native_streaming": true, + "supports_parallel_function_calling": true, + "supports_pdf_input": true, + "supports_prompt_caching": true, + "supports_reasoning": true, + "supports_response_schema": true, + "supports_system_messages": true, + "supports_tool_choice": true, + "supports_vision": true, + "supports_web_search": true + }, + "azure_ai/codex-mini": { + "cache_read_input_token_cost": 3.75e-07, + "deprecation_date": "2026-11-15", + "input_cost_per_token": 1.5e-06, + "litellm_provider": "azure_ai", + "max_input_tokens": 200000, + "max_output_tokens": 100000, + "max_tokens": 100000, + "mode": "responses", + "output_cost_per_token": 6e-06, + "source": "https://azure.microsoft.com/en-us/pricing/details/cognitive-services/openai-service/", + "supported_endpoints": [ + "/v1/responses" + ], + "supported_modalities": [ + "text", + "image" + ], + "supported_output_modalities": [ + "text" + ], + "supports_function_calling": true, + "supports_parallel_function_calling": true, + "supports_pdf_input": true, + "supports_prompt_caching": true, + "supports_reasoning": true, + "supports_response_schema": true, + "supports_system_messages": true, + "supports_tool_choice": true, + "supports_vision": true + }, + "azure_ai/whisper": { + "deprecation_date": "2026-12-15", + "input_cost_per_second": 0.0001, + "litellm_provider": "azure_ai", + "mode": "audio_transcription", + "output_cost_per_second": 0.0001, + "source": "https://azure.microsoft.com/en-us/pricing/details/cognitive-services/openai-service/" + }, "azure_ai/gpt-5.5-2026-04-23": { "cache_read_input_token_cost": 5e-07, "cache_read_input_token_cost_above_272k_tokens": 1e-06, @@ -3984,13 +4102,29 @@ "supports_minimal_reasoning_effort": false }, "azure_ai/model_router": { + "deprecation_date": "2027-05-20", "input_cost_per_token": 1.4e-07, "output_cost_per_token": 0, "litellm_provider": "azure_ai", + "max_input_tokens": 200000, + "max_output_tokens": 32768, + "max_tokens": 32768, "mode": "chat", "source": "https://azure.microsoft.com/en-us/pricing/details/ai-foundry-models/aoai/", "comment": "Flat cost of $0.14 per M input tokens for Azure AI Foundry Model Router infrastructure. Use pattern: azure_ai/model_router/ where deployment-name is your Azure deployment (e.g., azure-model-router)" }, + "azure_ai/model-router": { + "deprecation_date": "2027-05-20", + "input_cost_per_token": 1.4e-07, + "output_cost_per_token": 0, + "litellm_provider": "azure_ai", + "max_input_tokens": 200000, + "max_output_tokens": 32768, + "max_tokens": 32768, + "mode": "chat", + "source": "https://azure.microsoft.com/en-us/pricing/details/ai-foundry-models/aoai/", + "comment": "Catalog-name twin of azure_ai/model_router: the flat $0.14 per M input tokens is the router's own fee, the routed model is priced on top of it" + }, "azure/eu/gpt-4o-2024-08-06": { "deprecation_date": "2027-04-14", "cache_read_input_token_cost": 1.375e-06, @@ -10302,6 +10436,18 @@ "/v1/ocr" ] }, + "azure_ai/cohere-command-a": { + "input_cost_per_token": 2.5e-06, + "litellm_provider": "azure_ai", + "max_input_tokens": 131072, + "max_output_tokens": 8182, + "max_tokens": 8182, + "mode": "chat", + "output_cost_per_token": 1e-05, + "source": "https://azure.microsoft.com/en-us/pricing/details/ai-foundry-models/cohere/", + "supports_function_calling": true, + "supports_tool_choice": true + }, "azure_ai/doc-intelligence/prebuilt-read": { "litellm_provider": "azure_ai", "ocr_cost_per_page": 0.0015, @@ -10653,6 +10799,41 @@ "supports_vision": true, "supports_web_search": true }, + "azure_ai/grok-4-20-reasoning": { + "cache_read_input_token_cost": 1.25e-06, + "deprecation_date": "2027-04-06", + "input_cost_per_token": 1.25e-06, + "litellm_provider": "azure_ai", + "max_input_tokens": 262000, + "max_output_tokens": 8192, + "max_tokens": 8192, + "mode": "chat", + "output_cost_per_token": 2.5e-06, + "source": "https://azure.microsoft.com/en-us/pricing/details/ai-foundry-models/grok/", + "supports_function_calling": true, + "supports_response_schema": true, + "supports_tool_choice": true, + "supports_vision": true, + "supports_web_search": true, + "supports_reasoning": true + }, + "azure_ai/grok-4-20-non-reasoning": { + "cache_read_input_token_cost": 1.25e-06, + "deprecation_date": "2027-04-06", + "input_cost_per_token": 1.25e-06, + "litellm_provider": "azure_ai", + "max_input_tokens": 262000, + "max_output_tokens": 8192, + "max_tokens": 8192, + "mode": "chat", + "output_cost_per_token": 2.5e-06, + "source": "https://azure.microsoft.com/en-us/pricing/details/ai-foundry-models/grok/", + "supports_function_calling": true, + "supports_response_schema": true, + "supports_tool_choice": true, + "supports_vision": true, + "supports_web_search": true + }, "azure_ai/grok-4-fast-non-reasoning": { "deprecation_date": "2026-05-01", "input_cost_per_token": 2e-07, diff --git a/osv-scanner.toml b/osv-scanner.toml index 5b0339bdcd0..3e070fc8cf7 100644 --- a/osv-scanner.toml +++ b/osv-scanner.toml @@ -1,6 +1,6 @@ [[IgnoredVulns]] id = "GHSA-w8v5-vhqr-4h9v" -ignoreUntil = 2026-09-09 +ignoreUntil = 2026-10-01 reason = "diskcache has no fixed release published; remove this entry once one exists" [[IgnoredVulns]] diff --git a/pyproject.toml b/pyproject.toml index 706b14b8a04..04f2f3fd1dd 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -68,7 +68,7 @@ proxy = [ "azure-storage-blob>=12.28.0,<13.0", "mcp>=1.28.1,<2.0", "litellm-proxy-extras==0.4.95", - "litellm-enterprise==0.1.65", + "litellm-enterprise==0.1.66", "RestrictedPython>=8.5,<9.0", "rich>=13.9.4,<14.0", "InquirerPy>=0.3.4,<1.0", @@ -114,7 +114,6 @@ caching = ["diskcache>=5.6.3,<6.0"] mcp = ["mcp>=1.28.1,<2.0"] # Driver for the MongoDB Atlas vector store; Atlas Vector Search has no HTTP query API. # The floor is 4.9 because that is the release AsyncMongoClient landed in. -mongodb = ["pymongo>=4.9,<5.0"] # SAML SSO for the admin UI. python3-saml pulls in xmlsec/lxml, whose wheels # bundle the native libxmlsec1/libxml2 libraries, so no system packages are # required. Kept out of the base `proxy` extra so it stays optional. diff --git a/tests/code_coverage_tests/router_code_coverage.py b/tests/code_coverage_tests/router_code_coverage.py index 0af29f069c6..a11f015743b 100644 --- a/tests/code_coverage_tests/router_code_coverage.py +++ b/tests/code_coverage_tests/router_code_coverage.py @@ -87,6 +87,7 @@ ignored_function_names = [ "_delete_claude_code_session_router_binding", # Tested through Redis cleanup failure in test_router.py "_resolve_claude_code_session_router", # Tested through Claude Code session routing in test_router.py "_get_claude_code_session_router_binding", # Tested through the two-worker session routing test in test_router.py + "_apply_updated_routing_strategy_args", # Tested via update_settings in test_lowest_latency.py (file lacks "router" in name) ] diff --git a/tests/e2e/batches/COVERAGE.md b/tests/e2e/batches/COVERAGE.md index 8a7b68511ec..919c39f21a2 100644 --- a/tests/e2e/batches/COVERAGE.md +++ b/tests/e2e/batches/COVERAGE.md @@ -120,6 +120,36 @@ create traverse gateway -> gateway -> OpenAI (LIT-5347, PR #36240). The pin: nested managed ids round-trip retrieve. This self-chaining only needs the proxy to reach its own `PROXY_BASE_URL`, which holds both locally and on the e2e stage. +## Cleanup + +Batch teardown cancels active batches before deleting their input files and keys. +Raw file IDs from both `model_param` and `provider_fallback` uploads use the upload +provider when deleted. Model-encoded and managed file IDs route themselves + +File deletion and batch cancellation check their responses and retry transient +failures up to three times. Teardown attempts every registered cleanup before +reporting failures as test errors. Already deleted files and batches that are +terminal are safe to clean up again. Managed batch cancellation polls for up to eleven minutes +before input deletion: the ten-minute provider window plus a propagation margin. +Accepted cancellation may still report validating or in_progress while the provider +updates its state. Raw and model-encoded batches are polled until cancelling or +terminal before input deletion. OpenAI and Azure lifecycle cleanup also deletes +output and error files returned by terminal batches. Bedrock deletion uses a signed S3 DELETE +restricted to the configured storage buckets and managed file prefixes. The low-RPM +test submits with its restricted key and cleans up with the test administrator key + +Managed deletion forwards the deployment's trusted bucket configuration and returns +the requested managed file ID even when stored output metadata carries a provider ID + +Azure input uploads request `expires_after` anchored to `created_at` with +`seconds=1209600`, and the lifecycle tests check the returned expiry. This is a +fallback for interrupted runs: immediate deletion remains the normal cleanup. +Azure's minimum supported native expiry is 14 days, so a three-day expiry cannot +be requested through its Files API + +The Azure entry in `files_settings` must use `api_version: 2025-04-01-preview` +for raw uploads to honor expiry, matching the batch deployment's API version + ## Terminal state + cost write-back (cross-run marker baton) The 24h completion window rules out submit-and-wait inside one run, so diff --git a/tests/e2e/batches/batch_cleanup.py b/tests/e2e/batches/batch_cleanup.py new file mode 100644 index 00000000000..9284882ad82 --- /dev/null +++ b/tests/e2e/batches/batch_cleanup.py @@ -0,0 +1,140 @@ +from builtins import ExceptionGroup +from collections.abc import Callable +from itertools import count +from time import monotonic, sleep +from typing import Final, Protocol + +from batch_client import BatchObject, FileDeleteResponse +from capabilities import is_managed_id +from e2e_http import NetworkError, RateLimitedError, Result, Success, UnknownApiError +from pydantic import BaseModel + +CLEANUP_DELAYS: Final = (1.0, 2.0, 4.0) +BATCH_TERMINAL_STATUSES: Final = frozenset({"completed", "failed", "expired", "cancelled"}) +BATCH_PENDING_STATUSES: Final = frozenset({"validating", "in_progress", "finalizing", "cancelling"}) +BATCH_CANCEL_TIMEOUT_SECONDS: Final = 660.0 +BATCH_CANCEL_POLL_SECONDS: Final = 10.0 + + +class BatchCleanupClient(Protocol): + def delete_file(self, file_id: str, *, key: str, provider: str | None = None) -> Result[FileDeleteResponse]: ... + + def retrieve_batch(self, batch_id: str, *, key: str, provider: str | None = None) -> Result[BatchObject]: ... + + def cancel_batch(self, batch_id: str, *, key: str, provider: str | None = None) -> Result[BatchObject]: ... + + +def cleanup_result[R: BaseModel]( + action: Callable[[], Result[R]], *, wait: Callable[[float], None] = sleep +) -> Result[R]: + for delay, result in ((delay, action()) for delay in CLEANUP_DELAYS): + match result: + case NetworkError() | RateLimitedError(): + wait(delay) + case UnknownApiError(status_code=code) if code in {408, 429, 500, 502, 503, 504}: + wait(delay) + case _: + return result + return action() + + +def _require_cleanup_success[R: BaseModel](result: Result[R], operation: str) -> R: + match result: + case Success(data=data): + return data + case UnknownApiError(status_code=code): + raise AssertionError(f"{operation} failed: HTTP {code}") + case _: + raise AssertionError(f"{operation} failed: {result.kind}") + + +def cleanup_file(client: BatchCleanupClient, file_id: str, *, key: str, provider: str | None = None) -> None: + result: Final = cleanup_result(lambda: client.delete_file(file_id, key=key, provider=provider)) + if isinstance(result, UnknownApiError) and result.status_code == 404: + return + deleted: Final = _require_cleanup_success(result, f"Delete file {file_id}") + assert deleted.deleted is True or ( + deleted.deleted is None and is_managed_id(file_id) and deleted.id == file_id and deleted.object == "file" + ), f"Delete file {file_id} did not confirm deletion" + + +def cleanup_batch( + client: BatchCleanupClient, + batch_id: str, + *, + key: str, + provider: str | None = None, + delete_output_files: bool = False, + wait: Callable[[float], None] = sleep, + clock: Callable[[], float] = monotonic, +) -> None: + needs_terminal_state: Final = is_managed_id(batch_id) + fetched: Final = _require_cleanup_success( + cleanup_result(lambda: client.retrieve_batch(batch_id, key=key, provider=provider)), + f"Retrieve batch {batch_id} for cleanup", + ) + if fetched.status in BATCH_TERMINAL_STATUSES: + if delete_output_files: + _cleanup_batch_outputs(client, fetched, key=key, provider=provider) + return + if fetched.status == "cancelling" and not needs_terminal_state: + return + result: Final = ( + Success(status_code=200, data=fetched) + if fetched.status == "cancelling" + else cleanup_result(lambda: client.cancel_batch(batch_id, key=key, provider=provider)) + ) + conflicted: Final = isinstance(result, UnknownApiError) and result.status_code in {400, 409} + if not conflicted: + cancelled: Final = _require_cleanup_success(result, f"Cancel batch {batch_id}") + assert cancelled.status in BATCH_TERMINAL_STATUSES | BATCH_PENDING_STATUSES, ( + f"Cancel batch {batch_id} left status {cancelled.status}" + ) + if cancelled.status in BATCH_TERMINAL_STATUSES: + if delete_output_files: + _cleanup_batch_outputs(client, cancelled, key=key, provider=provider) + return + if cancelled.status == "cancelling" and not needs_terminal_state: + return + deadline: Final = clock() + BATCH_CANCEL_TIMEOUT_SECONDS + for current in ( + _require_cleanup_success( + cleanup_result(lambda: client.retrieve_batch(batch_id, key=key, provider=provider)), + f"Retrieve batch {batch_id} after cancellation", + ) + for _ in count() + ): + if current.status in BATCH_TERMINAL_STATUSES: + if delete_output_files: + _cleanup_batch_outputs(client, current, key=key, provider=provider) + return + assert current.status in ({"cancelling"} if conflicted else BATCH_PENDING_STATUSES), ( + f"Cancel batch {batch_id} left status {current.status}" + ) + if current.status == "cancelling" and not needs_terminal_state: + return + assert clock() < deadline, ( + f"Batch {batch_id} cancellation did not finish within {BATCH_CANCEL_TIMEOUT_SECONDS}s" + ) + wait(BATCH_CANCEL_POLL_SECONDS) + + +def _cleanup_batch_outputs(client: BatchCleanupClient, batch: BatchObject, *, key: str, provider: str | None) -> None: + errors: Final = tuple( + error + for file_id in dict.fromkeys((batch.output_file_id, batch.error_file_id)) + if file_id is not None and file_id != batch.input_file_id + if (error := _output_cleanup_error(client, file_id, key=key, provider=provider)) is not None + ) + if errors: + raise ExceptionGroup(f"Batch {batch.id} output cleanup failed", errors) + + +def _output_cleanup_error( + client: BatchCleanupClient, file_id: str, *, key: str, provider: str | None +) -> Exception | None: + try: + cleanup_file(client, file_id, key=key, provider=provider) + except Exception as error: + return error + return None diff --git a/tests/e2e/batches/batch_client.py b/tests/e2e/batches/batch_client.py index 31e49f22450..c9c77e1f12e 100644 --- a/tests/e2e/batches/batch_client.py +++ b/tests/e2e/batches/batch_client.py @@ -13,8 +13,9 @@ co-located here because only this suite uses them. from __future__ import annotations from dataclasses import dataclass +from typing import Final, Literal -from pydantic import BaseModel +from pydantic import BaseModel, Field from proxy_client import ProxyClient from e2e_http import ( @@ -27,6 +28,18 @@ from e2e_http import ( from models import LiteLLMParamsBody UPLOAD_FILENAME = "batch_input.jsonl" +AZURE_FILE_EXPIRY_SECONDS: Final = 14 * 24 * 60 * 60 + + +class ExpiringFileUploadForm(FileUploadForm): + expires_after_anchor: Literal["created_at"] = Field(default="created_at", alias="expires_after[anchor]") + expires_after_seconds: int = Field(default=AZURE_FILE_EXPIRY_SECONDS, alias="expires_after[seconds]") + + +def batch_upload_form(provider: str, *, target_model_names: str | None = None) -> FileUploadForm: + if provider == "azure": + return ExpiringFileUploadForm(target_model_names=target_model_names) + return FileUploadForm(target_model_names=target_model_names) class FileObject(BaseModel): @@ -37,6 +50,7 @@ class FileObject(BaseModel): bytes: int | None = None status: str | None = None created_at: int | None = None + expires_at: int | None = None class FileList(BaseModel): @@ -85,7 +99,7 @@ class BatchList(BaseModel): class FileDeleteResponse(BaseModel): id: str object: str | None = None - deleted: bool + deleted: bool | None = None class BatchCreateBody(BaseModel): diff --git a/tests/e2e/batches/capabilities.py b/tests/e2e/batches/capabilities.py index 1bcea0a61ee..17749c2fb87 100644 --- a/tests/e2e/batches/capabilities.py +++ b/tests/e2e/batches/capabilities.py @@ -108,6 +108,10 @@ class Capability: def id(self) -> str: return f"{self.provider}-{self.scenario}" + @property + def file_provider(self) -> str | None: + return self.provider if self.scenario in {"model_param", "provider_fallback"} else None + @property def jsonl_model(self) -> str: # Always the provider deployment name. Unified routes via diff --git a/tests/e2e/batches/conftest.py b/tests/e2e/batches/conftest.py index 3b133fab680..91a365b6b92 100644 --- a/tests/e2e/batches/conftest.py +++ b/tests/e2e/batches/conftest.py @@ -13,7 +13,7 @@ the proxy config. from __future__ import annotations import os -from typing import Iterator +from typing import Final, Iterator import pytest @@ -21,6 +21,7 @@ from batch_client import BatchClient, build_client from capabilities import PROVIDERS from e2e_config import MANAGED_FILES_OPT_IN_ENV from e2e_http import NoBody +from lifecycle import ResourceManager from proxy_client import ProxyClient @@ -52,6 +53,13 @@ def client(proxy: ProxyClient) -> BatchClient: return build_client(proxy) +@pytest.fixture +def resources(client: BatchClient) -> Iterator[ResourceManager]: + manager: Final = ResourceManager(client=client.proxy, strict_cleanup=True) + yield manager + manager.teardown() + + @pytest.fixture(scope="session") def batch_deployments(client: BatchClient) -> Iterator[None]: probe = client.proxy.probe("/health/liveliness", params=NoBody()) diff --git a/tests/e2e/batches/test_batch_cleanup.py b/tests/e2e/batches/test_batch_cleanup.py new file mode 100644 index 00000000000..d0038139dcf --- /dev/null +++ b/tests/e2e/batches/test_batch_cleanup.py @@ -0,0 +1,313 @@ +from builtins import ExceptionGroup +from collections.abc import Callable +from typing import Final +from unittest.mock import Mock, call + +import pytest +from batch_cleanup import BATCH_CANCEL_TIMEOUT_SECONDS, CLEANUP_DELAYS, cleanup_batch, cleanup_file, cleanup_result +from batch_client import AZURE_FILE_EXPIRY_SECONDS, BatchObject, FileDeleteResponse, batch_upload_form +from capabilities import CAPABILITIES, Capability +from e2e_http import NetworkError, RateLimitedError, Result, Success, UnknownApiError +from lifecycle import ResourceManager +from models import KeyGenerateBody + +MANAGED_FILE_ID: Final = "bGl0ZWxsbV9wcm94eTtmaWxlLTE=" +MANAGED_BATCH_ID: Final = "bGl0ZWxsbV9wcm94eTtiYXRjaC0x" + + +class ExpectedCalls[T]: + def __init__(self, values: tuple[T, ...]) -> None: + self.values: Final = values + self.recorder: Final = Mock() + + def __call__(self, value: T) -> None: + self.recorder(value) + + def assert_done(self) -> None: + assert tuple(self.recorder.call_args_list) == tuple(call(value) for value in self.values) + + +class CleanupClient: + def __init__( + self, + *, + calls: ExpectedCalls[str], + files: tuple[Result[FileDeleteResponse], ...] = (), + batches: tuple[Result[BatchObject], ...] = (), + cancellations: tuple[Result[BatchObject], ...] = (), + ) -> None: + self.calls: Final = calls + self.file_response: Final[Callable[[], Result[FileDeleteResponse]]] = Mock(side_effect=files) + self.batch_response: Final[Callable[[], Result[BatchObject]]] = Mock(side_effect=batches) + self.cancel_response: Final[Callable[[], Result[BatchObject]]] = Mock(side_effect=cancellations) + + def delete_file(self, file_id: str, *, key: str, provider: str | None = None) -> Result[FileDeleteResponse]: + self.calls(f"delete {provider} {file_id}") + return self.file_response() + + def retrieve_batch(self, batch_id: str, *, key: str, provider: str | None = None) -> Result[BatchObject]: + self.calls(f"retrieve {provider} {batch_id}") + return self.batch_response() + + def cancel_batch(self, batch_id: str, *, key: str, provider: str | None = None) -> Result[BatchObject]: + self.calls(f"cancel {provider} {batch_id}") + return self.cancel_response() + + def generate_key(self, body: KeyGenerateBody) -> str: + return "test-key" + + def delete_key(self, key: str) -> None: + self.calls(f"delete key {key}") + + def delete_customers(self, user_ids: list[str]) -> None: + self.calls(f"delete customers {user_ids}") + + +def batch(status: str) -> Success[BatchObject]: + return Success(status_code=200, data=BatchObject(id="batch-1", status=status)) + + +def deleted_file(*, deleted: bool = True) -> Success[FileDeleteResponse]: + return Success(status_code=200, data=FileDeleteResponse(id="file-1", deleted=deleted)) + + +class TestFileCleanup: + def test_managed_delete_accepts_the_deleted_file_object(self) -> None: + response: Final = Success( + status_code=200, data=FileDeleteResponse.model_validate({"id": MANAGED_FILE_ID, "object": "file"}) + ) + client: Final = CleanupClient(calls=ExpectedCalls((f"delete None {MANAGED_FILE_ID}",)), files=(response,)) + cleanup_file(client, MANAGED_FILE_ID, key="test-key") + client.calls.assert_done() + + @pytest.mark.parametrize("file_id", ["file-1", MANAGED_FILE_ID]) + def test_a_success_status_without_a_deletion_confirmation_is_rejected(self, file_id: str) -> None: + client: Final = CleanupClient( + calls=ExpectedCalls((f"delete None {file_id}",)), + files=(Success(status_code=200, data=FileDeleteResponse(id=file_id)),), + ) + with pytest.raises(AssertionError, match="did not confirm deletion"): + cleanup_file(client, file_id, key="test-key") + client.calls.assert_done() + + @pytest.mark.parametrize("cap", CAPABILITIES, ids=[cap.id for cap in CAPABILITIES]) + def test_deletes_raw_files_through_the_upload_provider(self, cap: Capability) -> None: + expected_provider: Final = cap.provider if cap.scenario in {"model_param", "provider_fallback"} else None + client: Final = CleanupClient( + calls=ExpectedCalls((f"delete {expected_provider} file-1",)), files=(deleted_file(),) + ) + cleanup_file(client, "file-1", key="test-key", provider=cap.file_provider) + client.calls.assert_done() + + def test_failed_delete_is_reported_after_remaining_resources_are_cleaned(self) -> None: + client: Final = CleanupClient( + calls=ExpectedCalls(("delete azure file-1", "delete key test-key")), + files=(UnknownApiError(status_code=403, body="secret response"),), + ) + manager: Final = ResourceManager(client=client, strict_cleanup=True) + key: Final = manager.key() + manager.defer(lambda: cleanup_file(client, "file-1", key=key, provider="azure")) + with pytest.raises(ExceptionGroup) as caught: + manager.teardown() + client.calls.assert_done() + assert len(caught.value.exceptions) == 1 + assert str(caught.value.exceptions[0]) == "Delete file file-1 failed: HTTP 403" + + def test_success_response_must_confirm_deletion(self) -> None: + client: Final = CleanupClient( + calls=ExpectedCalls(("delete None file-1",)), files=(deleted_file(deleted=False),) + ) + with pytest.raises(AssertionError, match="did not confirm deletion"): + cleanup_file(client, "file-1", key="test-key") + client.calls.assert_done() + + def test_cleanup_is_idempotent_when_file_is_already_deleted(self) -> None: + client: Final = CleanupClient( + calls=ExpectedCalls(("delete azure file-1",)), + files=(UnknownApiError(status_code=404, body="missing"),), + ) + cleanup_file(client, "file-1", key="test-key", provider="azure") + client.calls.assert_done() + + def test_default_resource_cleanup_keeps_existing_best_effort_behavior(self) -> None: + client: Final = CleanupClient( + calls=ExpectedCalls(("delete None file-1", "delete key test-key")), + files=(UnknownApiError(status_code=403, body="forbidden"),), + ) + manager: Final = ResourceManager(client=client) + key: Final = manager.key() + manager.defer(lambda: cleanup_file(client, "file-1", key=key)) + manager.teardown() + client.calls.assert_done() + + +class TestCleanupRetries: + @pytest.mark.parametrize( + "failure", + [NetworkError(message="offline"), RateLimitedError(), UnknownApiError(status_code=503, body="unavailable")], + ) + def test_transient_error_retries_and_returns_success(self, failure: Result[FileDeleteResponse]) -> None: + responses: Final = (failure, deleted_file()) + outcomes: Final = Mock(side_effect=responses) + delays: Final = ExpectedCalls((1.0,)) + result: Final[Result[FileDeleteResponse]] = cleanup_result(outcomes, wait=delays) + assert isinstance(result, Success) and result.data.deleted + delays.assert_done() + + def test_persistent_error_has_bounded_retries(self) -> None: + failure: Final = UnknownApiError(status_code=503, body="unavailable") + outcomes: Final = Mock(return_value=failure) + delays: Final = ExpectedCalls(CLEANUP_DELAYS) + result: Final[Result[FileDeleteResponse]] = cleanup_result(outcomes, wait=delays) + assert result is failure + delays.assert_done() + assert outcomes.call_count == len(CLEANUP_DELAYS) + 1 + + def test_permanent_error_is_not_retried(self) -> None: + failure: Final = UnknownApiError(status_code=403, body="forbidden") + responses: Final = (failure, deleted_file()) + outcomes: Final = Mock(side_effect=responses) + delays: Final = ExpectedCalls[float](()) + assert cleanup_result(outcomes, wait=delays) is failure + delays.assert_done() + assert outcomes.call_count == 1 + + +class TestBatchCancellation: + def test_cancelling_batch_is_polled_until_terminal_without_cancelling_again(self) -> None: + client: Final = CleanupClient( + calls=ExpectedCalls((f"retrieve None {MANAGED_BATCH_ID}",) * 3), + batches=(batch("cancelling"), batch("cancelling"), batch("cancelled")), + ) + delays: Final = ExpectedCalls((10.0,)) + cleanup_batch(client, MANAGED_BATCH_ID, key="test-key", wait=delays) + client.calls.assert_done() + delays.assert_done() + + def test_cancellation_timeout_is_reported_but_file_and_key_cleanup_still_run(self) -> None: + client: Final = CleanupClient( + calls=ExpectedCalls( + ( + f"retrieve None {MANAGED_BATCH_ID}", + f"retrieve None {MANAGED_BATCH_ID}", + "delete None file-1", + "delete key test-key", + ) + ), + batches=(batch("cancelling"), batch("cancelling")), + files=(deleted_file(),), + ) + times: Final = (0.0, BATCH_CANCEL_TIMEOUT_SECONDS) + ticks: Final[Callable[[], float]] = Mock(side_effect=times) + manager: Final = ResourceManager(client=client, strict_cleanup=True) + key: Final = manager.key() + manager.defer(lambda: cleanup_file(client, "file-1", key=key)) + manager.defer(lambda: cleanup_batch(client, MANAGED_BATCH_ID, key=key, clock=ticks)) + with pytest.raises(ExceptionGroup) as caught: + manager.teardown() + assert "cancellation did not finish" in str(caught.value.exceptions[0]) + client.calls.assert_done() + + @pytest.mark.parametrize("status", ["completed", "failed", "expired", "cancelled"]) + def test_inactive_batch_needs_no_cancellation(self, status: str) -> None: + client: Final = CleanupClient(calls=ExpectedCalls(("retrieve None batch-1",)), batches=(batch(status),)) + cleanup_batch(client, "batch-1", key="test-key") + client.calls.assert_done() + + def test_active_batch_is_cancelled_through_its_provider(self) -> None: + client: Final = CleanupClient( + calls=ExpectedCalls(("retrieve azure batch-1", "cancel azure batch-1")), + batches=(batch("in_progress"), batch("cancelled")), + cancellations=(batch("cancelling"),), + ) + cleanup_batch(client, "batch-1", key="test-key", provider="azure") + client.calls.assert_done() + + @pytest.mark.parametrize("batch_id", ["batch-1", MANAGED_BATCH_ID]) + @pytest.mark.parametrize("pending_status", ["validating", "in_progress"]) + def test_accepted_cancellation_waits_through_stale_provider_status( + self, batch_id: str, pending_status: str + ) -> None: + client: Final = CleanupClient( + calls=ExpectedCalls( + ( + f"retrieve vertex_ai {batch_id}", + f"cancel vertex_ai {batch_id}", + f"retrieve vertex_ai {batch_id}", + f"retrieve vertex_ai {batch_id}", + f"retrieve vertex_ai {batch_id}", + "delete vertex_ai file-1", + "delete key test-key", + ) + ), + batches=(batch("validating"), batch(pending_status), batch(pending_status), batch("cancelled")), + cancellations=(batch(pending_status),), + files=(deleted_file(),), + ) + delays: Final = ExpectedCalls((10.0, 10.0)) + manager: Final = ResourceManager(client=client, strict_cleanup=True) + key: Final = manager.key() + manager.defer(lambda: cleanup_file(client, "file-1", key=key, provider="vertex_ai")) + manager.defer(lambda: cleanup_batch(client, batch_id, key=key, provider="vertex_ai", wait=delays)) + manager.teardown() + client.calls.assert_done() + delays.assert_done() + + @pytest.mark.parametrize("output_delete_fails", [False, True]) + def test_batch_that_completed_before_cleanup_deletes_output_and_error_files( + self, output_delete_fails: bool + ) -> None: + client: Final = CleanupClient( + calls=ExpectedCalls(("retrieve openai batch-1", "delete openai file-output", "delete openai file-error")), + batches=( + Success( + status_code=200, + data=BatchObject( + id="batch-1", + status="completed", + input_file_id="file-input", + output_file_id="file-output", + error_file_id="file-error", + ), + ), + ), + files=( + UnknownApiError(status_code=403, body="forbidden") if output_delete_fails else deleted_file(), + deleted_file(), + ), + ) + if output_delete_fails: + with pytest.raises(ExceptionGroup, match="output cleanup failed"): + cleanup_batch(client, "batch-1", key="test-key", provider="openai", delete_output_files=True) + else: + cleanup_batch(client, "batch-1", key="test-key", provider="openai", delete_output_files=True) + client.calls.assert_done() + + @pytest.mark.parametrize("status", ["completed", "in_progress"]) + def test_cancellation_conflict_is_accepted_only_when_batch_became_inactive(self, status: str) -> None: + client: Final = CleanupClient( + calls=ExpectedCalls(("retrieve None batch-1", "cancel None batch-1", "retrieve None batch-1")), + batches=(batch("in_progress"), batch(status)), + cancellations=(UnknownApiError(status_code=409, body="conflict"),), + ) + if status == "completed": + cleanup_batch(client, "batch-1", key="test-key") + else: + with pytest.raises(AssertionError, match="Cancel batch batch-1 left status in_progress"): + cleanup_batch(client, "batch-1", key="test-key") + client.calls.assert_done() + + +class TestAzureFileExpiry: + def test_azure_form_serializes_native_expiry_for_the_proxy(self) -> None: + form: Final = batch_upload_form("azure", target_model_names="azure-test") + assert form.model_dump(by_alias=True, exclude_none=True) == { + "purpose": "batch", + "target_model_names": "azure-test", + "expires_after[anchor]": "created_at", + "expires_after[seconds]": AZURE_FILE_EXPIRY_SECONDS, + } + + @pytest.mark.parametrize("provider", ["openai", "vertex_ai", "bedrock"]) + def test_other_providers_keep_their_existing_upload_fields(self, provider: str) -> None: + assert batch_upload_form(provider).model_dump(by_alias=True, exclude_none=True) == {"purpose": "batch"} diff --git a/tests/e2e/batches/test_batches_e2e.py b/tests/e2e/batches/test_batches_e2e.py index ed7cf656d01..c4b699190b8 100644 --- a/tests/e2e/batches/test_batches_e2e.py +++ b/tests/e2e/batches/test_batches_e2e.py @@ -21,14 +21,16 @@ import os import re import time from datetime import datetime, timedelta, timezone -from typing import Callable import pytest from pydantic import BaseModel -from e2e_config import PROXY_BASE_URL, unique_marker +from e2e_config import MASTER_KEY, PROXY_BASE_URL, unique_marker +from batch_cleanup import cleanup_batch, cleanup_file from batch_client import ( + AZURE_FILE_EXPIRY_SECONDS, + batch_upload_form, UPLOAD_FILENAME, BatchClient, BatchCreateBody, @@ -155,19 +157,19 @@ def upload_for_scenario( if cap.scenario == "encoded": return client.upload_file( content=content, - form=FileUploadForm(purpose="batch"), + form=batch_upload_form(cap.provider), model=cap.model, key=key, ) if cap.scenario == "unified": return client.upload_file( content=content, - form=FileUploadForm(purpose="batch", target_model_names=cap.model), + form=batch_upload_form(cap.provider, target_model_names=cap.model), key=key, ) return client.upload_file( content=content, - form=FileUploadForm(purpose="batch"), + form=batch_upload_form(cap.provider), key=key, provider=cap.provider, ) @@ -188,20 +190,11 @@ def create_for_scenario( def op_provider(cap: Capability) -> str | None: - """provider_fallback ids are raw, so retrieve/cancel/list/delete need the provider + """provider_fallback batch ids are raw, so retrieve/cancel/list need the provider hint; the other scenarios encode it into the id and route automatically.""" return cap.provider if cap.scenario == "provider_fallback" else None -def quietly(action: Callable[[], object]) -> Callable[[], None]: - """Adapt a value-returning call into a best-effort cleanup the teardown can run.""" - - def run() -> None: - action() - - return run - - def assert_file_object(file: FileObject, *, provider: str) -> None: assert file.object == "file", f"file.object={file.object!r}" assert file.purpose == "batch", f"file.purpose={file.purpose!r}" @@ -209,6 +202,10 @@ def assert_file_object(file: FileObject, *, provider: str) -> None: if provider != "bedrock": assert file.bytes > 0, f"file.bytes={file.bytes!r}" assert file.status, "file.status missing" + if provider == "azure": + assert file.expires_at is not None, "Azure batch input has no automatic expiry" + assert file.created_at is not None + assert file.expires_at - file.created_at == AZURE_FILE_EXPIRY_SECONDS assert ( file.created_at is not None and file.created_at > 0 ), "file.created_at missing" @@ -249,7 +246,7 @@ def test_batch_lifecycle( file = unwrap(upload_for_scenario(client, cap, render_jsonl(cap.jsonl_model), key)) resources.defer( - quietly(lambda: client.delete_file(file.id, key=key, provider=provider)) + lambda: cleanup_file(client, file.id, key=key, provider=cap.file_provider) ) assert_file_object(file, provider=cap.provider) assert matches_id_shape( @@ -260,7 +257,9 @@ def test_batch_lifecycle( require_successful_call(created) batch = BatchObject.model_validate_json(created.body) resources.defer( - quietly(lambda: client.cancel_batch(batch.id, key=key, provider=provider)) + lambda: cleanup_batch( + client, batch.id, key=key, provider=provider, delete_output_files=cap.provider in {"openai", "azure"} + ) ) assert batch.id, f"create returned no batch id (body={created.body[:200]})" @@ -339,7 +338,7 @@ def test_batch_key_model_access_denied( denied_upload = client.upload_file( content=render_jsonl(AZURE_BATCH_MODEL), - form=FileUploadForm(purpose="batch"), + form=batch_upload_form("azure"), model=AZURE_BATCH_MODEL, key=key, ) @@ -356,7 +355,7 @@ def test_batch_key_model_access_denied( ) ).id resources.defer( - quietly(lambda: client.delete_file(raw_file, key=key, provider="openai")) + lambda: cleanup_file(client, raw_file, key=key, provider="openai") ) denied_create = client.create_batch( @@ -383,6 +382,7 @@ def test_file_upload_and_delete_outputs( key=key, ) ) + resources.defer(lambda: cleanup_file(client, file.id, key=key)) assert_file_object(file, provider="openai") deleted = unwrap(client.delete_file(file.id, key=key)) @@ -458,12 +458,12 @@ def test_rate_limited_batch_create_leaves_no_unattributed_spend_row( key=key, ) ) - resources.defer(quietly(lambda: client.delete_file(file.id, key=key))) + resources.defer(lambda: cleanup_file(client, file.id, key=key)) created = client.create_batch(body=BatchCreateBody(input_file_id=file.id), key=key) require_successful_call(created) batch = BatchObject.model_validate_json(created.body) - resources.defer(quietly(lambda: client.cancel_batch(batch.id, key=key))) + resources.defer(lambda: cleanup_batch(client, batch.id, key=key)) _ = client.proxy.poll_logs_for_key(key, min_rows=1) @@ -517,7 +517,7 @@ class TestBatchFileContent: key=key, ) ) - resources.defer(quietly(lambda: client.delete_file(file.id, key=key))) + resources.defer(lambda: cleanup_file(client, file.id, key=key)) assert file.id downloaded = client.proxy.transport.download( @@ -559,11 +559,11 @@ class TestBatchFileContent: file = unwrap( client.upload_file( content=payload, - form=FileUploadForm(purpose="batch", target_model_names=provider.model), + form=batch_upload_form(provider.name, target_model_names=provider.model), key=key, ) ) - resources.defer(quietly(lambda: client.delete_file(file.id, key=key))) + resources.defer(lambda: cleanup_file(client, file.id, key=key)) assert_file_object(file, provider=provider.name) assert is_managed_id(file.id), ( f"{provider.name}: unified upload must return a managed file id, got {file.id!r}" @@ -626,7 +626,7 @@ class TestOpenAIFiles: ) ) resources.defer( - quietly(lambda: client.delete_file(file.id, key=key, provider="openai")) + lambda: cleanup_file(client, file.id, key=key, provider="openai") ) listed = unwrap(client.list_files(key=key)) @@ -690,7 +690,7 @@ class TestOpenAIFiles: key=key, ) ) - resources.defer(quietly(lambda: client.delete_file(file.id, key=key))) + resources.defer(lambda: cleanup_file(client, file.id, key=key)) fetched = unwrap(client.retrieve_file(file.id, key=key)) assert fetched.id == file.id, "retrieve must echo the uploaded file id" @@ -760,7 +760,7 @@ class TestBatchRateLimitErrorMapping: key=key, ) ) - resources.defer(quietly(lambda: client.delete_file(file.id, key=key))) + resources.defer(lambda: cleanup_file(client, file.id, key=key)) created = client.create_batch(body=BatchCreateBody(input_file_id=file.id), key=key) @@ -803,7 +803,7 @@ class TestBatchEnqueuedTokenLimit: """ def _upload_batch_file( - self, client: BatchClient, resources: ResourceManager, key: str + self, client: BatchClient, resources: ResourceManager, key: str, *, cleanup_key: str | None = None ) -> FileObject: file = unwrap( client.upload_file( @@ -813,7 +813,7 @@ class TestBatchEnqueuedTokenLimit: key=key, ) ) - resources.defer(quietly(lambda: client.delete_file(file.id, key=key))) + resources.defer(lambda: cleanup_file(client, file.id, key=cleanup_key or key)) return file def _generate_enqueued_key( @@ -850,7 +850,7 @@ class TestBatchEnqueuedTokenLimit: marker="rpm", rpm_limit=BATCH_RL_RPM_LIMIT, ) - file = self._upload_batch_file(client, resources, key) + file = self._upload_batch_file(client, resources, key, cleanup_key=MASTER_KEY) created = client.create_batch(body=BatchCreateBody(input_file_id=file.id), key=key) @@ -861,7 +861,7 @@ class TestBatchEnqueuedTokenLimit: ) require_successful_call(created) batch = BatchObject.model_validate_json(created.body) - resources.defer(quietly(lambda: client.cancel_batch(batch.id, key=key))) + resources.defer(lambda: cleanup_batch(client, batch.id, key=MASTER_KEY, delete_output_files=True)) @pytest.mark.covers( "quota_management.ratelimit.batch_enqueued_tokens.blocks_when_exhausted", @@ -904,7 +904,7 @@ class TestBatchEnqueuedTokenLimit: first = client.create_batch(body=BatchCreateBody(input_file_id=file.id), key=key) require_successful_call(first) first_batch = BatchObject.model_validate_json(first.body) - resources.defer(quietly(lambda: client.cancel_batch(first_batch.id, key=key))) + resources.defer(lambda: cleanup_batch(client, first_batch.id, key=key)) blocked = client.create_batch(body=BatchCreateBody(input_file_id=file.id), key=key) assert blocked.status_code == 429, ( @@ -928,7 +928,7 @@ class TestBatchEnqueuedTokenLimit: ) require_successful_call(retried) retry_batch = BatchObject.model_validate_json(retried.body) - resources.defer(quietly(lambda: client.cancel_batch(retry_batch.id, key=key))) + resources.defer(lambda: cleanup_batch(client, retry_batch.id, key=key)) ASSUME_ROLE_RAW_MODEL = "bedrock/us.anthropic.claude-haiku-4-5-20251001-v1:0" @@ -984,13 +984,13 @@ class TestBedrockBatchAssumeRole: key=key, ) ) - resources.defer(quietly(lambda: client.delete_file(file.id, key=key))) + resources.defer(lambda: cleanup_file(client, file.id, key=key)) assert_file_object(file, provider="bedrock") created = client.create_batch(body=BatchCreateBody(input_file_id=file.id), key=key) require_successful_call(created) batch = BatchObject.model_validate_json(created.body) - resources.defer(quietly(lambda: client.cancel_batch(batch.id, key=key))) + resources.defer(lambda: cleanup_batch(client, batch.id, key=key)) assert batch.id, f"assume-role create returned no batch id: {created.body[:200]}" assert is_managed_id(batch.id), ( @@ -1044,7 +1044,7 @@ class TestGeminiFiles: key=key, ) ) - resources.defer(quietly(lambda: client.delete_file(file.id, key=key))) + resources.defer(lambda: cleanup_file(client, file.id, key=key)) assert_file_object(file, provider="gemini") assert file.id, "gemini file upload returned no id" @@ -1099,13 +1099,13 @@ class TestHostedVllmBatch: key=key, ) ) - resources.defer(quietly(lambda: client.delete_file(file.id, key=key))) + resources.defer(lambda: cleanup_file(client, file.id, key=key)) assert_file_object(file, provider="hosted_vllm") created = client.create_batch(body=BatchCreateBody(input_file_id=file.id), key=key) require_successful_call(created) batch = BatchObject.model_validate_json(created.body) - resources.defer(quietly(lambda: client.cancel_batch(batch.id, key=key))) + resources.defer(lambda: cleanup_batch(client, batch.id, key=key)) assert batch.id, f"hosted_vllm create returned no batch id: {created.body[:200]}" assert batch.status in CREATED_BATCH_STATUSES, ( @@ -1192,7 +1192,7 @@ class TestBatchFailurePaths: key=key, ) ) - resources.defer(quietly(lambda: client.delete_file(file.id, key=key))) + resources.defer(lambda: cleanup_file(client, file.id, key=key)) created = client.create_batch(body=BatchCreateBody(input_file_id=file.id), key=key) require_successful_call(created) @@ -1243,12 +1243,12 @@ class TestBatchFailurePaths: file = unwrap( client.upload_file( content=render_jsonl(AZURE_BATCH_RAW_MODEL), - form=FileUploadForm(purpose="batch"), + form=batch_upload_form("azure"), model=AZURE_BATCH_MODEL, key=key, ) ) - resources.defer(quietly(lambda: client.delete_file(file.id, key=key))) + resources.defer(lambda: cleanup_file(client, file.id, key=key)) assert decoded_model_from_id(file.id) == AZURE_BATCH_MODEL, ( f"upload did not encode the azure deployment into the file id: {file.id!r}" ) @@ -1258,7 +1258,7 @@ class TestBatchFailurePaths: ) require_successful_call(created) batch = BatchObject.model_validate_json(created.body) - resources.defer(quietly(lambda: client.cancel_batch(batch.id, key=key))) + resources.defer(lambda: cleanup_batch(client, batch.id, key=key)) assert decoded_model_from_id(batch.id) == AZURE_BATCH_MODEL, ( "create with a foreign encoded file id must route by the file's embedded model, " @@ -1307,7 +1307,7 @@ class TestBatchSecondHop: key=key, ) ) - resources.defer(quietly(lambda: client.delete_file(file.id, key=key))) + resources.defer(lambda: cleanup_file(client, file.id, key=key)) assert is_managed_id(file.id), ( f"second-hop unified upload must return a managed file id, got {file.id!r}" ) @@ -1315,7 +1315,7 @@ class TestBatchSecondHop: created = client.create_batch(body=BatchCreateBody(input_file_id=file.id), key=key) require_successful_call(created) batch = BatchObject.model_validate_json(created.body) - resources.defer(quietly(lambda: client.cancel_batch(batch.id, key=key))) + resources.defer(lambda: cleanup_batch(client, batch.id, key=key)) assert is_managed_id(batch.id), ( f"second-hop create must return a managed batch id, got {batch.id!r}" diff --git a/tests/e2e/batches/test_managed_files_enforcement_e2e.py b/tests/e2e/batches/test_managed_files_enforcement_e2e.py index 7ad0b16adc3..4f703cf0fdc 100644 --- a/tests/e2e/batches/test_managed_files_enforcement_e2e.py +++ b/tests/e2e/batches/test_managed_files_enforcement_e2e.py @@ -21,6 +21,7 @@ from typing import Iterator import pytest from batch_client import BatchClient, FileObject +from batch_cleanup import cleanup_file from capabilities import batch_model_name, is_managed_id, openai_batch_params from e2e_config import unique_marker from e2e_http import FileUploadForm, Result, UnknownApiError, unwrap @@ -108,7 +109,7 @@ def test_cross_user_managed_id_denied_owner_allowed( key=owner_key, ) ) - resources.defer(lambda: client.delete_file(uploaded.id, key=owner_key)) + resources.defer(lambda: cleanup_file(client, uploaded.id, key=owner_key)) assert is_managed_id(uploaded.id), f"expected a managed unified file id, got {uploaded.id}" denied = client.retrieve_file(uploaded.id, key=other_key) diff --git a/tests/e2e/coverage_registry/mcp.yaml b/tests/e2e/coverage_registry/mcp.yaml index ab644118a47..f853e9ff8d6 100644 --- a/tests/e2e/coverage_registry/mcp.yaml +++ b/tests/e2e/coverage_registry/mcp.yaml @@ -119,3 +119,11 @@ assertions: [succeeds] source: "server.py:1089" rationale: Smoke; rarely used; same auth model as tools +- id: mcp.list_tools.api_key.toolset_scoped + module: mcp + tier: P0 + operation: list_tools + auth_family: api_key + assertions: [toolset_scoped] + source: "user_api_key_auth_mcp.py:2137" + rationale: "A key granted a toolset lists exactly the toolset's tools: the rest of the server's catalog stays hidden and every stored name resolves" diff --git a/tests/e2e/coverage_registry/mgmt.yaml b/tests/e2e/coverage_registry/mgmt.yaml index 860d96a50b4..c8d7037d2fd 100644 --- a/tests/e2e/coverage_registry/mgmt.yaml +++ b/tests/e2e/coverage_registry/mgmt.yaml @@ -76,3 +76,13 @@ - {id: mgmt.credential_migration.check.happy_path, module: mgmt, tier: P2, surface: api, assertions: [happy_path], source: "key_management_endpoints.py:4252", rationale: "Encryption migration (smoke)"} - {id: mgmt.credential.new.serves_request, module: mgmt, tier: P1, surface: api, assertions: [serves_request], source: "credential_endpoints/endpoints.py:42", rationale: "Stored credential resolves into a deployment and serves a live /messages request"} - {id: mgmt.model.test_connection.happy_path, module: mgmt, tier: P0, surface: api, assertions: [happy_path], source: "_health_endpoints.py:1785", rationale: "Test Connection for a responses-mode Bedrock Mantle deployment reaches the live provider and reports success; this exact shape 500ed on an acompletion partial before v1.91.0", fail_before_fix: proven} +- {id: mgmt.mcp_server.new.persists, module: mgmt, tier: P0, surface: api, assertions: [persists], source: "mcp_management_endpoints.py:1577", rationale: "Every field of an admin-created MCP server reads back verbatim, by id and in the list, on every replica"} +- {id: mgmt.mcp_server.list.persists, module: mgmt, tier: P1, surface: api, assertions: [persists], source: "mcp_management_endpoints.py:1112", rationale: "The MCP page grid lists a created server with the same field values its detail view reports"} +- {id: mgmt.mcp_server.update.preserves_unrelated_fields, module: mgmt, tier: P0, surface: api, assertions: [preserves_unrelated_fields], source: "mcp_management_endpoints.py:2665", rationale: "A dashboard edit of one field leaves the others intact and is visible on every replica after one save; edits that took several saves to stick were a customer defect"} +- {id: mgmt.mcp_server.update.clear_persists, module: mgmt, tier: P0, surface: api, assertions: [clear_persists], source: "mcp_management_endpoints.py:2665", rationale: "An explicit null clears the stored field (absent keeps, null clears)"} +- {id: mgmt.mcp_server.delete.persists, module: mgmt, tier: P0, surface: api, assertions: [persists], source: "mcp_management_endpoints.py:2139", rationale: "A deleted server is gone by id and from the list on every replica"} +- {id: mgmt.mcp_toolset.new.persists, module: mgmt, tier: P0, surface: api, assertions: [persists], source: "mcp_management_endpoints.py:3009", rationale: "Toolset tools read back under the exact server_id and tool_name written; a toolset stored under one name and read under another granted nothing"} +- {id: mgmt.mcp_toolset.update.preserves_unrelated_fields, module: mgmt, tier: P0, surface: api, assertions: [preserves_unrelated_fields], source: "mcp_management_endpoints.py:3098", rationale: "Editing the description leaves the tools and name intact"} +- {id: mgmt.mcp_toolset.update.persists, module: mgmt, tier: P0, surface: api, assertions: [persists], source: "mcp_management_endpoints.py:3098", rationale: "Narrowing the tools to one entry reads back exactly that entry"} +- {id: mgmt.mcp_toolset.update.clear_persists, module: mgmt, tier: P0, surface: api, assertions: [clear_persists], source: "mcp_management_endpoints.py:3098", fail_before_fix: proven, rationale: "An explicit null clears the stored description; the update used to drop null and keep the old value"} +- {id: mgmt.mcp_toolset.delete.persists, module: mgmt, tier: P0, surface: api, assertions: [persists], source: "mcp_management_endpoints.py:3149", rationale: "A deleted toolset is gone by id and from the list on every replica"} diff --git a/tests/e2e/e2e_http.py b/tests/e2e/e2e_http.py index 9d5f1658e91..415c72bbb3c 100644 --- a/tests/e2e/e2e_http.py +++ b/tests/e2e/e2e_http.py @@ -49,6 +49,11 @@ class AnthropicHeaders(AuthHeaders): anthropic_version: str = Field(default="2023-06-01", alias="anthropic-version") +class PartialBody(BaseModel): + """A body for a partial-update route (absent = keep, null = clear): a field left + unset is omitted from the wire, and a field set to None is sent as JSON null.""" + + class NoBody(BaseModel): """Empty body/query for routes that take none.""" @@ -252,6 +257,13 @@ def assert_auth_denied(result: StreamingResponse, context: str) -> None: f"{context}: expected 401/403, got {result.status_code}: {result.body[:300]}" ) + +def wire_body(json: BaseModel) -> dict[str, object]: + if isinstance(json, PartialBody): + return json.model_dump(by_alias=True, exclude_unset=True) + return json.model_dump(by_alias=True, exclude_none=True) + + def _headers(headers: BaseModel) -> dict[str, str]: dumped: dict[str, object] = headers.model_dump(by_alias=True, exclude_none=True) return {key: str(value) for key, value in dumped.items()} @@ -307,9 +319,26 @@ def request_with_retry[T: RetryableResponse]( return issue() -def _classify[R: BaseModel]( - resp: requests.Response, response_type: type[R] -) -> Result[R]: +class ClassifiableResponse(Protocol): + """What classifying an outcome reads off a response. requests.Response satisfies + it, and so does a fake, so the classification rules are testable on their own.""" + + @property + def status_code(self) -> int: ... + + @property + def ok(self) -> bool: ... + + @property + def text(self) -> str: ... + + @property + def content(self) -> bytes: ... + + def json(self) -> object: ... + + +def classify[R: BaseModel](resp: ClassifiableResponse, response_type: type[R]) -> Result[R]: if resp.status_code == 401: return UnauthorizedError(body=resp.text) if resp.status_code == 429: @@ -317,7 +346,8 @@ def _classify[R: BaseModel]( if not resp.ok: return UnknownApiError(status_code=resp.status_code, body=resp.text) try: - return Success(status_code=resp.status_code, data=response_type.model_validate(resp.json())) + payload: Final[object] = resp.json() if resp.content else {} + return Success(status_code=resp.status_code, data=response_type.model_validate(payload)) except Exception as exc: # noqa: BLE001 - any parse/validation failure is a value return ValidationError(message=str(exc)) @@ -335,13 +365,13 @@ def post[R: BaseModel]( lambda: requests.post( str(url), headers=_headers(headers), - json=json.model_dump(by_alias=True, exclude_none=True), + json=wire_body(json), timeout=timeout, ) ) except requests.RequestException as exc: return NetworkError(message=str(exc)) - return _classify(resp, response_type) + return classify(resp, response_type) def get[R: BaseModel]( @@ -363,7 +393,7 @@ def get[R: BaseModel]( ) except requests.RequestException as exc: return NetworkError(message=str(exc)) - return _classify(resp, response_type) + return classify(resp, response_type) def get_external[R: BaseModel]( @@ -383,7 +413,7 @@ def get_external[R: BaseModel]( ) except requests.RequestException as exc: return NetworkError(message=str(exc)) - return _classify(resp, response_type) + return classify(resp, response_type) def delete[R: BaseModel]( @@ -400,14 +430,14 @@ def delete[R: BaseModel]( lambda: requests.delete( str(url), headers=_headers(headers), - json=json.model_dump(by_alias=True, exclude_none=True), + json=wire_body(json), params=_params(params), timeout=timeout, ) ) except requests.RequestException as exc: return NetworkError(message=str(exc)) - return _classify(resp, response_type) + return classify(resp, response_type) def patch[R: BaseModel]( @@ -423,13 +453,13 @@ def patch[R: BaseModel]( lambda: requests.patch( str(url), headers=_headers(headers), - json=json.model_dump(by_alias=True, exclude_none=True), + json=wire_body(json), timeout=timeout, ) ) except requests.RequestException as exc: return NetworkError(message=str(exc)) - return _classify(resp, response_type) + return classify(resp, response_type) def put[R: BaseModel]( @@ -445,13 +475,13 @@ def put[R: BaseModel]( lambda: requests.put( str(url), headers=_headers(headers), - json=json.model_dump(by_alias=True, exclude_none=True), + json=wire_body(json), timeout=timeout, ) ) except requests.RequestException as exc: return NetworkError(message=str(exc)) - return _classify(resp, response_type) + return classify(resp, response_type) def probe( @@ -555,7 +585,7 @@ def send( str(url), headers=_headers(headers), params=_params(params), - json=json.model_dump(by_alias=True, exclude_none=True), + json=wire_body(json), stream=stream, timeout=timeout, ) @@ -605,7 +635,7 @@ def upload[R: BaseModel]( ) except requests.RequestException as exc: return NetworkError(message=str(exc)) - return _classify(resp, response_type) + return classify(resp, response_type) def stream_binary( @@ -623,7 +653,7 @@ def stream_binary( resp = requests.post( str(url), headers=_headers(headers), - json=json.model_dump(by_alias=True, exclude_none=True), + json=wire_body(json), stream=True, timeout=timeout, ) diff --git a/tests/e2e/guardrails/guardrails_client.py b/tests/e2e/guardrails/guardrails_client.py index 1f55a0f9a56..ed112a79b9b 100644 --- a/tests/e2e/guardrails/guardrails_client.py +++ b/tests/e2e/guardrails/guardrails_client.py @@ -7,7 +7,7 @@ from __future__ import annotations import time from collections.abc import Callable from dataclasses import dataclass -from typing import Literal +from typing import Final, Literal from e2e_config import POLL_INTERVAL, POLL_TIMEOUT, settle_propagation, unique_marker from e2e_http import NoBody, Result, StreamingResponse, Success, unwrap @@ -405,6 +405,29 @@ def build_client(proxy: ProxyClient) -> GuardrailsClient: return GuardrailsClient(proxy=proxy) +def poll_until_guardrail_applied( + call: Callable[[], StreamingResponse], + guardrail_name: str, + *, + timeout: float = POLL_TIMEOUT, + interval: float = POLL_INTERVAL, + now: Callable[[], float] = time.monotonic, + sleep: Callable[[float], None] = time.sleep, +) -> StreamingResponse: + deadline: Final = now() + timeout + if not (result := call()).ok: + return result + while ( + guardrail_name + not in (name.strip() for name in result.headers.get("x-litellm-applied-guardrails", "").split(",")) + and (remaining := deadline - now()) > 0 + ): + sleep(min(interval, remaining)) + if now() >= deadline or not (result := call()).ok: + break + return result + + def poll_until_blocked[R: BaseModel](call: Callable[[], Result[R]]) -> Result[R]: """Retry a call that a guardrail should reject until it is, returning the last result. diff --git a/tests/e2e/guardrails/test_guardrails_client.py b/tests/e2e/guardrails/test_guardrails_client.py new file mode 100644 index 00000000000..423c2ede599 --- /dev/null +++ b/tests/e2e/guardrails/test_guardrails_client.py @@ -0,0 +1,66 @@ +from dataclasses import dataclass +from itertools import chain, repeat +from typing import Final + +import pytest + +from e2e_http import StreamingResponse +from guardrails_client import poll_until_guardrail_applied + + +@dataclass +class Clock: + elapsed: float = 0.0 + + def now(self) -> float: + return self.elapsed + + def sleep(self, seconds: float) -> None: + self.elapsed += seconds + + +def _response(applied: str, status: int = 200) -> StreamingResponse: + return StreamingResponse(status_code=status, body="{}", headers={"x-litellm-applied-guardrails": applied}) + + +def test_waits_for_requested_guardrail_after_an_unrelated_global_guardrail() -> None: + clock: Final = Clock() + expected: Final = _response("global-filter, tool-permission") + responses: Final = iter((_response("global-filter"), expected)) + + result: Final = poll_until_guardrail_applied( + lambda: next(responses), "tool-permission", timeout=5, interval=2, now=clock.now, sleep=clock.sleep + ) + + assert result is expected + assert clock.elapsed == 2 + + +@pytest.mark.parametrize("applied", ("", "global-filter", "tool-permission-sibling")) +def test_missing_exact_guardrail_returns_failure_evidence_at_deadline(applied: str) -> None: + clock: Final = Clock() + missing: Final = _response(applied) + responses: Final = iter((missing, missing, missing)) + + result: Final = poll_until_guardrail_applied( + lambda: next(responses), "tool-permission", timeout=5, interval=2, now=clock.now, sleep=clock.sleep + ) + + assert result is missing + assert clock.elapsed == 5 + with pytest.raises(StopIteration): + next(responses) + + +@pytest.mark.parametrize("status", (400, 401, 429, 500)) +def test_http_failure_is_not_hidden_by_a_later_success(status: int) -> None: + clock: Final = Clock() + failed: Final = _response("", status) + responses: Final = iter(chain((failed,), repeat(_response("tool-permission")))) + + result: Final = poll_until_guardrail_applied( + lambda: next(responses), "tool-permission", timeout=5, interval=2, now=clock.now, sleep=clock.sleep + ) + + assert result is failed + assert clock.elapsed == 0 diff --git a/tests/e2e/guardrails/test_tool_permission_guardrail_e2e.py b/tests/e2e/guardrails/test_tool_permission_guardrail_e2e.py index 9ef3650625c..8d1047e53c7 100644 --- a/tests/e2e/guardrails/test_tool_permission_guardrail_e2e.py +++ b/tests/e2e/guardrails/test_tool_permission_guardrail_e2e.py @@ -30,6 +30,7 @@ from guardrails_client import ( ToolPermissionParamsBody, ToolPermissionRuleBody, poll_until_blocked, + poll_until_guardrail_applied, ) from lifecycle import ResourceManager from models import ChatResponse, ChatTool, ChatToolFunction @@ -84,8 +85,8 @@ def _register_tool_permission(client: GuardrailsClient, resources: ResourceManag resources.defer(lambda: client.delete_guardrail(guardrail_id)) -def _applied_guardrails(outcome: StreamingResponse) -> str: - return outcome.headers.get("x-litellm-applied-guardrails", "") +def _applied_guardrails(outcome: StreamingResponse) -> tuple[str, ...]: + return tuple(name.strip() for name in outcome.headers.get("x-litellm-applied-guardrails", "").split(",")) def _tool_call_names(response: ChatResponse) -> tuple[str, ...]: @@ -144,14 +145,17 @@ class TestToolPermissionPreCall: name = f"e2e-toolperm-allow-{unique_marker()}" _register_tool_permission(client, resources, name=name) - outcome = client.chat_raw( - scoped_key, - MODEL, - TOOL_PROMPT, - guardrails=[name], - max_tokens=128, - tools=[ALLOWED_TOOL], - tool_choice="required", + outcome = poll_until_guardrail_applied( + lambda: client.chat_raw( + scoped_key, + MODEL, + TOOL_PROMPT, + guardrails=[name], + max_tokens=128, + tools=[ALLOWED_TOOL], + tool_choice="required", + ), + name, ) assert outcome.ok, f"the permitted tool must be served, got {outcome.status_code}: {outcome.body[:400]}" diff --git a/tests/e2e/lifecycle.py b/tests/e2e/lifecycle.py index c9a67ebdb8c..eb9704d4dcb 100644 --- a/tests/e2e/lifecycle.py +++ b/tests/e2e/lifecycle.py @@ -8,8 +8,9 @@ ResourceManager; the test registers a cleanup for every resource it creates, and the fixture's teardown releases them all even when the test body raises. """ +from builtins import ExceptionGroup from dataclasses import dataclass, field -from typing import Callable, List, Protocol, runtime_checkable +from typing import Callable, Final, List, Protocol, runtime_checkable from proxy_client import ProxyClient from models import KeyGenerateBody @@ -52,6 +53,7 @@ class ResourceManager: """ client: ResourceClient + strict_cleanup: bool = False _cleanups: List[Callable[[], object]] = field( default_factory=list ) # mutable-ok: append-only teardown registry @@ -82,8 +84,17 @@ class ResourceManager: return customer_id def teardown(self) -> None: - for cleanup in reversed(self._cleanups): - try: - cleanup() - except Exception: - pass # best-effort: a failed cleanup must not block the rest + failures: Final = tuple( + failure for cleanup in reversed(self._cleanups) + if (failure := _run_cleanup(cleanup)) is not None + ) + if failures and self.strict_cleanup: + raise ExceptionGroup("Resource cleanup failed", failures) + + +def _run_cleanup(cleanup: Callable[[], object]) -> Exception | None: + try: + cleanup() + except Exception as exc: + return exc + return None diff --git a/tests/e2e/llm_translation/test_responses_bridge_streaming_e2e.py b/tests/e2e/llm_translation/test_responses_bridge_streaming_e2e.py index 9a45743a0cd..75817340876 100644 --- a/tests/e2e/llm_translation/test_responses_bridge_streaming_e2e.py +++ b/tests/e2e/llm_translation/test_responses_bridge_streaming_e2e.py @@ -16,8 +16,10 @@ into a chat completion chunk. Two customer-visible contracts only hold on that p from __future__ import annotations +from typing import Final, Literal + import pytest -from pydantic import BaseModel +from pydantic import BaseModel, Field from e2e_config import unique_marker from e2e_http import StreamingResponse @@ -51,7 +53,8 @@ class _BridgeChoice(BaseModel): class _BridgeChunk(BaseModel): id: str - choices: list[_BridgeChoice] = [] + object: Literal["chat.completion.chunk"] + choices: list[_BridgeChoice] = Field(default_factory=list) class _WeatherArgs(BaseModel): @@ -103,16 +106,19 @@ class TestResponsesBridgeChatCompletionsStreaming: resources.key(), ChatBody( model=bridged_model, - messages=[ChatMessage(role="user", content=f"Count from 1 to 5, one number per line. {unique_marker()}")], + messages=[ + ChatMessage(role="user", content=f"Count from 1 to 5, one number per line. {unique_marker()}") + ], max_tokens=64, stream=True, ), ) - chunks = _bridge_chunks(result) - ids = {chunk.id for chunk in chunks} + chunks: Final = _bridge_chunks(result) + assert len(chunks) > 1, "the shared-id contract needs more than one streamed chunk" + ids: Final = frozenset(chunk.id for chunk in chunks) assert len(ids) == 1, f"bridged stream used {len(ids)} different chunk ids: {sorted(ids)[:5]}" - assert ids.pop().startswith("chatcmpl-"), f"bridged chunk id is not chat-completion shaped: {chunks[0].id}" + assert chunks[0].id.strip(), "bridged stream emitted an empty chunk id" @pytest.mark.covers( "llm.chat_completions.openai.basic.stream.bridge_streams_sse", @@ -134,9 +140,9 @@ class TestResponsesBridgeChatCompletionsStreaming: chunks = _bridge_chunks(result) content = "".join(choice.delta.content or "" for chunk in chunks for choice in chunk.choices) assert content.strip(), f"bridged stream completed with no content deltas: {result.stream_events[:3]}" - assert any( - choice.finish_reason for chunk in chunks for choice in chunk.choices - ), f"bridged stream never emitted a finish_reason: {result.stream_events[-3:]}" + assert any(choice.finish_reason for chunk in chunks for choice in chunk.choices), ( + f"bridged stream never emitted a finish_reason: {result.stream_events[-3:]}" + ) assert result.stream_done, f"bridged stream did not terminate with [DONE]: {result.stream_events[-2:]}" @pytest.mark.covers( diff --git a/tests/e2e/logging/datadog_reader.py b/tests/e2e/logging/datadog_reader.py index d0f478185c2..368c20cb6aa 100644 --- a/tests/e2e/logging/datadog_reader.py +++ b/tests/e2e/logging/datadog_reader.py @@ -12,8 +12,12 @@ empty result. External reads go through ``e2e_http``. from __future__ import annotations +import math +import random import time -from dataclasses import dataclass +from collections.abc import Callable, Mapping +from dataclasses import dataclass, field +from typing import Final import pytest from pydantic import BaseModel, ConfigDict, Field @@ -27,17 +31,33 @@ from e2e_config import ( DD_SITE, POLL_TIMEOUT, ) -from e2e_http import URL, Headers, RateLimitedError, Success, post +from e2e_http import URL, Headers, StreamingResponse, send -#: How many rate-limited responses in a row one search tolerates before the -#: hard fail; each retry sleeps a full search interval, so this rides out a -#: burst from a concurrent consumer of the org-wide search budget. -_RATE_LIMIT_RETRIES = 5 +type SearchCall = Callable[[str, float], StreamingResponse] + + +def _seconds(value: str | None) -> float | None: + if value is None: + return None + try: + seconds: Final = float(value) + except ValueError: + return None + return seconds if math.isfinite(seconds) and seconds >= 0 else None + + +def _rate_limit_delay(headers: Mapping[str, str]) -> float: + delays: Final = tuple( + delay + for name in ("x-ratelimit-reset", "retry-after") + if (delay := _seconds(headers.get(name))) is not None + ) + return max(1.0, max(delays, default=DD_SEARCH_INTERVAL)) class _DdAuthHeaders(Headers): - api_key: str = Field(serialization_alias="DD-API-KEY") - app_key: str = Field(serialization_alias="DD-APPLICATION-KEY") + api_key: str = Field(serialization_alias="DD-API-KEY", repr=False) + app_key: str = Field(serialization_alias="DD-APPLICATION-KEY", repr=False) class _SearchFilter(BaseModel): @@ -88,8 +108,12 @@ class _SearchResponse(BaseModel): @dataclass(frozen=True, slots=True) class DdLogsReader: site: str - api_key: str - app_key: str + api_key: str = field(repr=False) + app_key: str = field(repr=False) + search: SearchCall | None = field(default=None, repr=False) + now: Callable[[], float] = field(default=time.monotonic, repr=False) + sleep: Callable[[float], None] = field(default=time.sleep, repr=False) + jitter: Callable[[], float] = field(default=random.random, repr=False) def events_for_marker(self, marker: str) -> list[DdLogEvent]: """Every ingested event whose attributes carry the marker. DataDog @@ -108,25 +132,28 @@ class DdLogsReader: a single event. A 429 backs off and retries - the search budget is org-wide, so another consumer can empty it under us - while any other failure stays a hard fail.""" - for _ in range(_RATE_LIMIT_RETRIES): - result = post( - URL(f"https://api.{self.site}/api/v2/logs/events/search"), - headers=_DdAuthHeaders(api_key=self.api_key, app_key=self.app_key), - json=_SearchRequest(filter=_SearchFilter(query=query)), - response_type=_SearchResponse, - timeout=30.0, - ) - match result: - case Success(data=page): - return [event.attributes for event in page.data] - case RateLimitedError(retry_after_seconds=retry_after): - time.sleep(retry_after if retry_after else DD_SEARCH_INTERVAL) - case failure: - pytest.fail(f"DataDog Logs Search API at api.{self.site} failed: {failure}") + return self._events_for_query(query, self.now() + POLL_TIMEOUT) + + def _events_for_query(self, query: str, deadline: float) -> list[DdLogEvent]: + search: Final = self.search or self._search_page + while (remaining := deadline - self.now()) > 0: + if (result := search(query, min(30.0, remaining))).ok: + return [event.attributes for event in _SearchResponse.model_validate_json(result.body).data] + if result.status_code != 429: + pytest.fail(f"DataDog Logs Search API at api.{self.site} failed with HTTP {result.status_code}") + if (delay := min(_rate_limit_delay(result.headers) + self.jitter(), deadline - self.now())) > 0: + self.sleep(delay) pytest.fail( - f"DataDog Logs Search API at api.{self.site} still rate-limited after " - f"{_RATE_LIMIT_RETRIES} retries {DD_SEARCH_INTERVAL}s apart - the org-wide " - "logs_public_search_api budget (2 requests per 10s) is exhausted by another consumer" + f"DataDog Logs Search API at api.{self.site} remained rate-limited for {POLL_TIMEOUT}s; " + "the org-wide logs_public_search_api budget is exhausted" + ) + + def _search_page(self, query: str, timeout: float) -> StreamingResponse: + return send( + URL(f"https://api.{self.site}/api/v2/logs/events/search"), + headers=_DdAuthHeaders(api_key=self.api_key, app_key=self.app_key), + json=_SearchRequest(filter=_SearchFilter(query=query)), + timeout=timeout, ) def poll_events_for_marker(self, marker: str) -> list[DdLogEvent]: @@ -140,33 +167,42 @@ class DdLogsReader: hide from the exactly-one assertion - real-DataDog jitter can surface one call's two events tens of seconds apart. Searches pace at DD_SEARCH_INTERVAL, not POLL_INTERVAL, to respect the search API's - request budget. At the deadline the last result is returned as-is.""" - deadline = time.monotonic() + POLL_TIMEOUT - while time.monotonic() < deadline: - events = self.events_for_query(query) + request budget. Discovery, quota retries, and duplicate detection share + one POLL_TIMEOUT deadline; an incomplete settle window fails closed.""" + deadline: Final = self.now() + POLL_TIMEOUT + while (remaining := deadline - self.now()) > 0: + events = self._events_for_query(query, deadline) if events: - return self._settled_events_for_query(query, events) - time.sleep(DD_SEARCH_INTERVAL) - return self.events_for_query(query) + return self._settled_events_for_query(query, events, deadline) + if (remaining := deadline - self.now()) > 0: + self.sleep(min(DD_SEARCH_INTERVAL, remaining)) + return [] - def _settled_events_for_query(self, query: str, events: list[DdLogEvent]) -> list[DdLogEvent]: + def _settled_events_for_query(self, query: str, events: list[DdLogEvent], deadline: float) -> list[DdLogEvent]: """Re-read at every search interval until the settle window closes; a duplicate ends the watch early because more waiting cannot clear it. Keep the last non-empty result: a transient empty search (index lag) must not erase events already confirmed earlier in the settle window. + A successful final search must reach the full settle window before the + shared read-back deadline; otherwise duplicate detection is incomplete. """ - settle_deadline = time.monotonic() + DD_SETTLE_SECONDS + settle_deadline: Final = self.now() + DD_SETTLE_SECONDS last_nonempty = events - while time.monotonic() < settle_deadline: - time.sleep(DD_SEARCH_INTERVAL) - latest = self.events_for_query(query) - if not latest: - continue + if len(events) > 1: + return events + while (remaining := deadline - self.now()) > 0: + self.sleep(min(DD_SEARCH_INTERVAL, remaining)) + if self.now() >= deadline: + break + latest = self._events_for_query(query, deadline) if len(latest) > 1: return latest - last_nonempty = latest - return last_nonempty + if latest: + last_nonempty = latest + if self.now() >= settle_deadline: + return last_nonempty + pytest.fail(f"DataDog log delivery could not complete its duplicate-detection window within {POLL_TIMEOUT}s") def build_dd_logs_reader() -> DdLogsReader: diff --git a/tests/e2e/logging/test_datadog_reader.py b/tests/e2e/logging/test_datadog_reader.py new file mode 100644 index 00000000000..910a1cefd42 --- /dev/null +++ b/tests/e2e/logging/test_datadog_reader.py @@ -0,0 +1,223 @@ +import json +from collections.abc import Iterator, Sequence +from dataclasses import dataclass +from typing import Final + +import pytest + +from datadog_reader import DdLogsReader +from datadog_reader import _DdAuthHeaders # pyright: ignore[reportPrivateUsage] # verifies private auth-header serialization +from e2e_config import DD_SEARCH_INTERVAL, POLL_TIMEOUT +from e2e_http import StreamingResponse + + +def test_failure_diagnostics_hide_credentials_without_changing_auth_headers() -> None: + api_key: Final = "test-datadog-api-secret" + app_key: Final = "test-datadog-app-secret" + reader: Final = DdLogsReader(site="datadoghq.com", api_key=api_key, app_key=app_key) + headers: Final = _DdAuthHeaders(api_key=api_key, app_key=app_key) + + for value in (reader, headers): + assert api_key not in repr(value) + assert app_key not in repr(value) + + assert headers.model_dump(by_alias=True) == { + "DD-API-KEY": api_key, + "DD-APPLICATION-KEY": app_key, + } + + +@dataclass +class Clock: + elapsed: float = 0.0 + + def now(self) -> float: + return self.elapsed + + def sleep(self, seconds: float) -> None: + self.elapsed += seconds + + +@dataclass +class Search: + responses: Iterator[StreamingResponse] + calls: tuple[tuple[str, float], ...] = () + + def __call__(self, query: str, timeout: float) -> StreamingResponse: + self.calls += ((query, timeout),) + return next(self.responses) + + +def _page(*event_ids: str) -> StreamingResponse: + return StreamingResponse( + status_code=200, + body=json.dumps({"data": [{"attributes": {"attributes": {"id": event_id}}} for event_id in event_ids]}), + ) + + +def _reader(responses: Sequence[StreamingResponse], clock: Clock) -> tuple[DdLogsReader, Search]: + search: Final = Search(iter(responses)) + return DdLogsReader( + site="us5.datadoghq.com", + api_key="test-api-secret", + app_key="test-app-secret", + search=search, + now=clock.now, + sleep=clock.sleep, + jitter=lambda: 0.25, + ), search + + +def test_429_honors_server_reset_and_preserves_duplicate_events() -> None: + clock: Final = Clock() + reader, search = _reader( + (StreamingResponse(status_code=429, body="", headers={"x-ratelimit-reset": "6"}), _page("first", "duplicate")), + clock, + ) + + events: Final = reader.events_for_query("test-marker") + + assert tuple(event.attributes["id"] for event in events) == ("first", "duplicate") + assert clock.elapsed == 6.25 + assert search.calls == (("test-marker", 30.0), ("test-marker", 30.0)) + + +@pytest.mark.parametrize("reset", ("", "invalid", "nan", "inf", "-1")) +def test_invalid_reset_uses_search_interval(reset: str) -> None: + clock: Final = Clock() + reader, _ = _reader( + (StreamingResponse(status_code=429, body="", headers={"x-ratelimit-reset": reset}), _page()), clock + ) + + assert reader.events_for_query("test-marker") == [] + assert clock.elapsed == DD_SEARCH_INTERVAL + 0.25 + + +def test_zero_reset_cannot_create_a_busy_retry_loop() -> None: + clock: Final = Clock() + reader, _ = _reader( + (StreamingResponse(status_code=429, body="", headers={"x-ratelimit-reset": "0"}), _page()), clock + ) + + assert reader.events_for_query("test-marker") == [] + assert clock.elapsed == 1.25 + + +def test_retry_after_is_not_shortened_by_an_earlier_reset() -> None: + clock: Final = Clock() + reader, _ = _reader( + (StreamingResponse(status_code=429, body="", headers={"x-ratelimit-reset": "2", "retry-after": "8"}), _page()), + clock, + ) + + assert reader.events_for_query("test-marker") == [] + assert clock.elapsed == 8.25 + + +def test_rate_limit_wait_stops_at_deadline_without_issuing_another_request() -> None: + clock: Final = Clock() + reader, search = _reader( + (StreamingResponse(status_code=429, body="", headers={"x-ratelimit-reset": str(POLL_TIMEOUT * 10)}),), clock + ) + + with pytest.raises(pytest.fail.Exception, match="remained rate-limited"): + reader.events_for_query("test-marker") + + assert clock.elapsed == POLL_TIMEOUT + assert search.calls == (("test-marker", 30.0),) + + +def test_late_retry_cannot_receive_a_fresh_request_timeout() -> None: + clock: Final = Clock() + reader, search = _reader( + (StreamingResponse(status_code=429, body="", headers={"x-ratelimit-reset": str(POLL_TIMEOUT - 5)}), _page()), + clock, + ) + + assert reader.events_for_query("test-marker") == [] + assert search.calls == (("test-marker", 30.0), ("test-marker", 4.75)) + + +@pytest.mark.parametrize("status", (-1, 401, 403, 500)) +def test_non_quota_failures_are_not_retried_or_treated_as_empty_results(status: int) -> None: + clock: Final = Clock() + reader, search = _reader((StreamingResponse(status_code=status, body=""), _page()), clock) + + with pytest.raises(pytest.fail.Exception, match=f"failed with HTTP {status}"): + reader.events_for_query("test-marker") + + assert search.calls == (("test-marker", 30.0),) + assert clock.elapsed == 0 + + +def test_polling_quota_retries_share_the_original_deadline() -> None: + clock: Final = Clock() + reader, search = _reader( + (_page(), StreamingResponse(status_code=429, body="", headers={"x-ratelimit-reset": str(POLL_TIMEOUT)})), + clock, + ) + + with pytest.raises(pytest.fail.Exception, match="remained rate-limited"): + reader.poll_events_for_query("test-marker") + + assert clock.elapsed == POLL_TIMEOUT + assert len(search.calls) == 2 + + +def test_empty_polling_does_not_start_a_final_search_after_its_deadline() -> None: + clock: Final = Clock() + attempts: Final = int(POLL_TIMEOUT / DD_SEARCH_INTERVAL) + reader, search = _reader((_page(),) * attempts, clock) + + assert reader.poll_events_for_query("test-marker") == [] + assert clock.elapsed == POLL_TIMEOUT + assert len(search.calls) == attempts + + +def test_settlement_quota_retries_keep_the_remaining_readback_budget() -> None: + clock: Final = Clock() + empty_reads: Final = int(POLL_TIMEOUT / DD_SEARCH_INTERVAL) - 2 + reader, search = _reader( + (_page(),) * empty_reads + + (_page("first"), StreamingResponse(status_code=429, body="", headers={"x-ratelimit-reset": str(POLL_TIMEOUT)})), + clock, + ) + + with pytest.raises(pytest.fail.Exception, match="remained rate-limited"): + reader.poll_events_for_query("test-marker") + + assert clock.elapsed == POLL_TIMEOUT + assert search.calls[-1] == ("test-marker", DD_SEARCH_INTERVAL) + assert len(search.calls) == empty_reads + 2 + + +def test_settlement_detects_a_duplicate_on_the_final_search() -> None: + clock: Final = Clock() + reader, _ = _reader((_page("first"), _page("first"), _page(), _page("first", "duplicate")), clock) + + events: Final = reader.poll_events_for_query("test-marker") + + assert tuple(event.attributes["id"] for event in events) == ("first", "duplicate") + assert clock.elapsed == 30 + + +def test_settlement_keeps_confirmed_events_through_empty_searches() -> None: + clock: Final = Clock() + reader, _ = _reader((_page("first"), _page(), _page(), _page()), clock) + + events: Final = reader.poll_events_for_query("test-marker") + + assert tuple(event.attributes["id"] for event in events) == ("first",) + assert clock.elapsed == 30 + + +def test_late_delivery_cannot_pass_without_a_complete_settle_window() -> None: + clock: Final = Clock() + empty_reads: Final = int(POLL_TIMEOUT / DD_SEARCH_INTERVAL) - 2 + reader, search = _reader((_page(),) * empty_reads + (_page("first"), _page("first")), clock) + + with pytest.raises(pytest.fail.Exception, match="duplicate-detection window"): + reader.poll_events_for_query("test-marker") + + assert clock.elapsed == POLL_TIMEOUT + assert len(search.calls) == empty_reads + 2 diff --git a/tests/e2e/management/management_client.py b/tests/e2e/management/management_client.py index 2b897f5f07f..1ef0d89a8f9 100644 --- a/tests/e2e/management/management_client.py +++ b/tests/e2e/management/management_client.py @@ -43,6 +43,9 @@ from models import ( KeyResetSpendBody, KeyResetSpendResponse, KeyUpdateBody, + McpServerCreateBody, + McpServerRow, + McpServerUpdateBody, ModelDeleteBody, OrgDeleteBody, OrgInfoParams, @@ -537,6 +540,38 @@ class ManagementClient: ).root ) + def create_mcp_server(self, body: McpServerCreateBody) -> McpServerRow: + return unwrap( + self.proxy.transport.post( + "/v1/mcp/server", + headers=self.proxy.transport.master, + json=body, + response_type=McpServerRow, + ) + ) + + def update_mcp_server(self, body: McpServerUpdateBody) -> McpServerRow: + """PUT /v1/mcp/server, the call behind the dashboard's Save Changes: a partial + update where a field left unset keeps its stored value and None clears it.""" + return unwrap( + self.proxy.transport.put( + "/v1/mcp/server", + headers=self.proxy.transport.master, + json=body, + response_type=McpServerRow, + ) + ) + + def delete_mcp_server(self, server_id: str) -> Result[NoBody]: + """DELETE /v1/mcp/server/{server_id}. Returns the outcome so the act phase can + unwrap it while a deferred teardown can ignore an already-deleted server.""" + return self.proxy.transport.delete( + f"/v1/mcp/server/{server_id}", + headers=self.proxy.transport.master, + json=NoBody(), + response_type=NoBody, + ) + def chat_status(self, key: str, model: str, content: str) -> StreamingResponse: return self.proxy.transport.send( "/chat/completions", diff --git a/tests/e2e/management/test_mcp_lifecycle_e2e.py b/tests/e2e/management/test_mcp_lifecycle_e2e.py new file mode 100644 index 00000000000..9257d697647 --- /dev/null +++ b/tests/e2e/management/test_mcp_lifecycle_e2e.py @@ -0,0 +1,294 @@ +"""Live e2e: the MCP server and toolset management routes' lifecycle contract. + +Two customer defects sit on these routes, and each step here is the read-back that +would have caught one of them: a dashboard edit that took several saves to stick +because the read landed on a replica the write had not reached, and a toolset whose +tools were stored under one name and read back under another, so it granted +nothing. Every read-back therefore polls every replica that serves the route +(ProxyClient.read_back_everywhere) and asserts the exact values written, and both +update routes are held to the same partial-update contract: a field left out of the +payload keeps its stored value, a field sent as null is cleared. The server URL is +unreachable on purpose; only persistence is under test, never a tool call. +""" + +from __future__ import annotations + +from collections.abc import Callable, Mapping +from typing import Final + +import pytest +from e2e_config import unique_marker +from e2e_http import unwrap +from lifecycle import ResourceManager +from management_client import ManagementClient +from models import ( + McpInfo, + McpServerCreateBody, + McpServerListResponse, + McpServerRow, + McpServerUpdateBody, + ToolsetCreateBody, + ToolsetListResponse, + ToolsetRow, + ToolsetTool, + ToolsetUpdateBody, +) + +pytestmark = pytest.mark.e2e + +UNREACHABLE_URL: Final = "https://e2e-fake-mcp.test.local/mcp" + + +def _create_server(client: ManagementClient, resources: ResourceManager) -> tuple[McpServerCreateBody, str]: + name: Final = f"e2e_mcp_lifecycle_{unique_marker()}" + body: Final = McpServerCreateBody( + server_name=name, + alias=name, + url=UNREACHABLE_URL, + transport="http", + description="e2e lifecycle server", + mcp_info=McpInfo( + server_name=f"{name} (display)", + description="shown on the MCP page", + logo_url="https://e2e.test.local/logo.png", + ), + ) + server_id: Final = client.create_mcp_server(body).server_id + resources.defer(lambda: client.delete_mcp_server(server_id)) + return body, server_id + + +def _assert_server_matches(row: McpServerRow, written: McpServerCreateBody, *, where: str) -> None: + stored: Final = (row.server_name, row.alias, row.url, row.transport, row.description, row.mcp_info) + expected: Final = ( + written.server_name, + written.alias, + written.url, + written.transport, + written.description, + written.mcp_info, + ) + assert stored == expected, f"{where}: stored {stored}, expected {expected}" + + +def _server_everywhere( + client: ManagementClient, server_id: str, *, settled: Callable[[McpServerRow], bool] +) -> Mapping[str, McpServerRow]: + return client.proxy.read_body_back_everywhere(f"/v1/mcp/server/{server_id}", McpServerRow, settled=settled) + + +def _listed_server_everywhere(client: ManagementClient, server_id: str) -> Mapping[str, McpServerRow]: + listings: Final = client.proxy.read_body_back_everywhere( + "/v1/mcp/server", + McpServerListResponse, + settled=lambda rows: any(row.server_id == server_id for row in rows.root), + ) + return {replica: next(row for row in rows.root if row.server_id == server_id) for replica, rows in listings.items()} + + +class TestMcpServerLifecycle: + @pytest.mark.covers("mgmt.mcp_server.new.persists") + def test_create_persists_every_field_on_every_replica( + self, client: ManagementClient, resources: ResourceManager + ) -> None: + body, server_id = _create_server(client, resources) + + by_id: Final = _server_everywhere(client, server_id, settled=lambda row: row.server_id == server_id) + for replica, row in by_id.items(): + _assert_server_matches(row, body, where=f"GET /v1/mcp/server/{server_id} on {replica}") + + @pytest.mark.skip( + reason=( + "product gap: GET /v1/mcp/server builds each row from the in-memory registry, whose " + "_build_mcp_server_table sets description from mcp_info['description'], so the list " + "reports the mcp_info description while GET /v1/mcp/server/{server_id} reports the " + "stored description column. A server created with both set to different text reads " + "back with two different descriptions depending on the route" + ) + ) + @pytest.mark.covers("mgmt.mcp_server.list.persists") + def test_created_server_is_listed_with_every_field( + self, client: ManagementClient, resources: ResourceManager + ) -> None: + body, server_id = _create_server(client, resources) + + for replica, row in _listed_server_everywhere(client, server_id).items(): + _assert_server_matches(row, body, where=f"GET /v1/mcp/server on {replica}") + + @pytest.mark.covers("mgmt.mcp_server.update.preserves_unrelated_fields") + def test_updating_only_the_alias_keeps_every_other_field_on_every_replica( + self, client: ManagementClient, resources: ResourceManager + ) -> None: + body, server_id = _create_server(client, resources) + renamed: Final = f"{body.alias}_renamed" + + _ = client.update_mcp_server(McpServerUpdateBody(server_id=server_id, alias=renamed)) + + after_one_put: Final = _server_everywhere(client, server_id, settled=lambda row: row.alias == renamed) + for replica, row in after_one_put.items(): + _assert_server_matches( + row, + body.model_copy(update={"alias": renamed}), + where=f"GET /v1/mcp/server/{server_id} on {replica} after one PUT of alias", + ) + + @pytest.mark.covers("mgmt.mcp_server.update.clear_persists") + def test_clearing_the_description_with_null_reads_back_null( + self, client: ManagementClient, resources: ResourceManager + ) -> None: + body, server_id = _create_server(client, resources) + + _ = client.update_mcp_server(McpServerUpdateBody(server_id=server_id, description=None)) + + cleared: Final = _server_everywhere(client, server_id, settled=lambda row: row.description is None) + for replica, row in cleared.items(): + _assert_server_matches( + row, + body.model_copy(update={"description": None}), + where=f"GET /v1/mcp/server/{server_id} on {replica} after PUT description=null", + ) + + @pytest.mark.covers("mgmt.mcp_server.delete.persists") + def test_delete_removes_the_server_from_every_replica( + self, client: ManagementClient, resources: ResourceManager + ) -> None: + _, server_id = _create_server(client, resources) + + _ = unwrap(client.delete_mcp_server(server_id)) + + gone: Final = client.proxy.gone_everywhere(f"/v1/mcp/server/{server_id}") + assert set(gone.values()) == {404}, f"a deleted server must 404 on every replica; got {dict(gone)}" + listings: Final = client.proxy.read_body_back_everywhere( + "/v1/mcp/server", + McpServerListResponse, + settled=lambda rows: all(row.server_id != server_id for row in rows.root), + ) + for replica, rows in listings.items(): + assert all(row.server_id != server_id for row in rows.root), ( + f"GET /v1/mcp/server on {replica} still lists the deleted server {server_id}" + ) + + +def _create_toolset( + client: ManagementClient, resources: ResourceManager, server_id: str +) -> tuple[ToolsetCreateBody, str]: + body: Final = ToolsetCreateBody( + toolset_name=f"e2e_toolset_{unique_marker()}", + description="e2e lifecycle toolset", + tools=[ + ToolsetTool(server_id=server_id, tool_name="search_datadog_logs"), + ToolsetTool(server_id=server_id, tool_name="get_datadog_metric"), + ], + ) + toolset_id: Final = client.proxy.create_toolset(body).toolset_id + resources.defer(lambda: client.proxy.delete_toolset(toolset_id)) + return body, toolset_id + + +def _assert_toolset_matches(row: ToolsetRow, written: ToolsetCreateBody, *, where: str) -> None: + stored: Final = (row.toolset_name, row.description, row.tools) + expected: Final = (written.toolset_name, written.description, written.tools) + assert stored == expected, f"{where}: stored {stored}, expected {expected}" + + +def _toolset_everywhere( + client: ManagementClient, toolset_id: str, *, settled: Callable[[ToolsetRow], bool] +) -> Mapping[str, ToolsetRow]: + return client.proxy.read_body_back_everywhere(f"/v1/mcp/toolset/{toolset_id}", ToolsetRow, settled=settled) + + +class TestMcpToolsetLifecycle: + @pytest.mark.covers("mgmt.mcp_toolset.new.persists") + def test_create_persists_both_tools_under_the_exact_names_written( + self, client: ManagementClient, resources: ResourceManager + ) -> None: + _, server_id = _create_server(client, resources) + body, toolset_id = _create_toolset(client, resources, server_id) + + by_id: Final = _toolset_everywhere(client, toolset_id, settled=lambda row: row.toolset_id == toolset_id) + for replica, row in by_id.items(): + _assert_toolset_matches(row, body, where=f"GET /v1/mcp/toolset/{toolset_id} on {replica}") + listings: Final = client.proxy.read_body_back_everywhere( + "/v1/mcp/toolset", + ToolsetListResponse, + settled=lambda rows: any(row.toolset_id == toolset_id for row in rows.root), + ) + for replica, rows in listings.items(): + _assert_toolset_matches( + next(row for row in rows.root if row.toolset_id == toolset_id), + body, + where=f"GET /v1/mcp/toolset on {replica}", + ) + + @pytest.mark.covers("mgmt.mcp_toolset.update.preserves_unrelated_fields") + def test_updating_only_the_description_keeps_the_tools_and_name( + self, client: ManagementClient, resources: ResourceManager + ) -> None: + _, server_id = _create_server(client, resources) + body, toolset_id = _create_toolset(client, resources, server_id) + + _ = client.proxy.update_toolset(ToolsetUpdateBody(toolset_id=toolset_id, description="edited")) + + edited: Final = _toolset_everywhere(client, toolset_id, settled=lambda row: row.description == "edited") + for replica, row in edited.items(): + _assert_toolset_matches( + row, + body.model_copy(update={"description": "edited"}), + where=f"GET /v1/mcp/toolset/{toolset_id} on {replica} after PUT of description", + ) + + @pytest.mark.covers("mgmt.mcp_toolset.update.persists") + def test_updating_the_tools_to_one_entry_reads_back_exactly_that_entry( + self, client: ManagementClient, resources: ResourceManager + ) -> None: + _, server_id = _create_server(client, resources) + body, toolset_id = _create_toolset(client, resources, server_id) + kept: Final = body.tools[:1] + + _ = client.proxy.update_toolset(ToolsetUpdateBody(toolset_id=toolset_id, tools=kept)) + + narrowed: Final = _toolset_everywhere(client, toolset_id, settled=lambda row: row.tools == kept) + for replica, row in narrowed.items(): + _assert_toolset_matches( + row, + body.model_copy(update={"tools": kept}), + where=f"GET /v1/mcp/toolset/{toolset_id} on {replica} after PUT of one tool", + ) + + @pytest.mark.covers("mgmt.mcp_toolset.update.clear_persists") + def test_clearing_the_description_with_null_reads_back_null( + self, client: ManagementClient, resources: ResourceManager + ) -> None: + _, server_id = _create_server(client, resources) + body, toolset_id = _create_toolset(client, resources, server_id) + + _ = client.proxy.update_toolset(ToolsetUpdateBody(toolset_id=toolset_id, description=None)) + + cleared: Final = _toolset_everywhere(client, toolset_id, settled=lambda row: row.description is None) + for replica, row in cleared.items(): + _assert_toolset_matches( + row, + body.model_copy(update={"description": None}), + where=f"GET /v1/mcp/toolset/{toolset_id} on {replica} after PUT description=null", + ) + + @pytest.mark.covers("mgmt.mcp_toolset.delete.persists") + def test_delete_removes_the_toolset_from_every_replica( + self, client: ManagementClient, resources: ResourceManager + ) -> None: + _, server_id = _create_server(client, resources) + _, toolset_id = _create_toolset(client, resources, server_id) + + _ = unwrap(client.proxy.delete_toolset(toolset_id)) + + gone: Final = client.proxy.gone_everywhere(f"/v1/mcp/toolset/{toolset_id}") + assert set(gone.values()) == {404}, f"a deleted toolset must 404 on every replica; got {dict(gone)}" + listings: Final = client.proxy.read_body_back_everywhere( + "/v1/mcp/toolset", + ToolsetListResponse, + settled=lambda rows: all(row.toolset_id != toolset_id for row in rows.root), + ) + for replica, rows in listings.items(): + assert all(row.toolset_id != toolset_id for row in rows.root), ( + f"GET /v1/mcp/toolset on {replica} still lists the deleted toolset {toolset_id}" + ) diff --git a/tests/e2e/mcp/datadog_mcp.py b/tests/e2e/mcp/datadog_mcp.py index d1ea53a0b3b..352b4446cfd 100644 --- a/tests/e2e/mcp/datadog_mcp.py +++ b/tests/e2e/mcp/datadog_mcp.py @@ -3,6 +3,7 @@ from __future__ import annotations import os +from collections.abc import Sequence from e2e_config import datadog_mcp_url, unique_marker from lifecycle import ResourceManager @@ -35,7 +36,11 @@ def register_datadog_mcp( resources: ResourceManager, *, mcp_access_groups: list[str] | None = None, + allowed_tools: Sequence[str] | None = (SEARCH_LOGS_TOOL,), ) -> str: + """Register the core Datadog toolset with its credentials from the env. By default + the server exposes only `search_datadog_logs`; pass `allowed_tools=None` to expose + every tool the core toolset serves.""" assert_dd_mcp_creds() name = f"e2e_dd_mcp_{unique_marker()}" server_id = client.register_server( @@ -47,7 +52,7 @@ def register_datadog_mcp( "DD-API-KEY": _dd_api_key(), "DD-APPLICATION-KEY": _dd_app_key(), }, - allowed_tools=[SEARCH_LOGS_TOOL], + allowed_tools=None if allowed_tools is None else list(allowed_tools), mcp_access_groups=mcp_access_groups, ) resources.defer(lambda: client.delete_server(server_id)) diff --git a/tests/e2e/mcp/mcp_client.py b/tests/e2e/mcp/mcp_client.py index 73453478e5a..210fc7a1e98 100644 --- a/tests/e2e/mcp/mcp_client.py +++ b/tests/e2e/mcp/mcp_client.py @@ -16,11 +16,11 @@ import time from collections.abc import Mapping from dataclasses import dataclass -from pydantic import BaseModel, ConfigDict, Field, RootModel +from pydantic import BaseModel, ConfigDict, Field from e2e_config import settle_propagation from e2e_http import Headers, NoBody, Result, Success, UnknownApiError, unwrap -from models import KeyGenerateBody, ObjectPermission +from models import KeyGenerateBody, McpServerListResponse, McpServerRow, ObjectPermission from proxy_client import ProxyClient McpToolArg = str | int | float | bool | list[str] | dict[str, str] @@ -46,16 +46,6 @@ class McpServerNewResponse(BaseModel): server_id: str -class McpServerRow(BaseModel): - server_id: str - alias: str | None = None - url: str | None = None - - -class McpServersListResponse(RootModel[list[McpServerRow]]): - pass - - class McpToolMcpInfo(BaseModel): server_id: str | None = None alias: str | None = None @@ -193,7 +183,7 @@ class McpClient: "/v1/mcp/server", headers=self.proxy.transport.master, params=NoBody(), - response_type=McpServersListResponse, + response_type=McpServerListResponse, ) ).root @@ -224,11 +214,16 @@ class McpClient: user_id: str, mcp_servers: list[str] | None, mcp_access_groups: list[str] | None = None, + mcp_toolsets: list[str] | None = None, models: list[str] | None = None, ) -> str: object_permission = ( - ObjectPermission(mcp_servers=mcp_servers, mcp_access_groups=mcp_access_groups) - if mcp_servers is not None or mcp_access_groups is not None + ObjectPermission( + mcp_servers=mcp_servers, + mcp_access_groups=mcp_access_groups, + mcp_toolsets=mcp_toolsets, + ) + if mcp_servers is not None or mcp_access_groups is not None or mcp_toolsets is not None else None ) return self.proxy.generate_key( @@ -272,6 +267,20 @@ class McpClient: ) time.sleep(self.proxy.poll_interval) + def await_tools(self, key: str, server_id: str, *, expected: frozenset[str]) -> frozenset[str]: + """Poll tools/list until `server_id`'s tools as `key` sees them are exactly + `expected`, and return the last listing either way, so the caller's equality + assertion names the difference. Fails at poll_timeout only when the read + itself never succeeded.""" + deadline = time.monotonic() + self.proxy.poll_timeout + while True: + result = self.list_tools(key) + if isinstance(result, Success) and result.data.tool_names_for_server(server_id) == expected: + return expected + if time.monotonic() >= deadline: + return unwrap(result).tool_names_for_server(server_id) + time.sleep(self.proxy.poll_interval) + def await_call_tool( self, key: str, diff --git a/tests/e2e/mcp/test_mcp_toolset_enforcement_e2e.py b/tests/e2e/mcp/test_mcp_toolset_enforcement_e2e.py new file mode 100644 index 00000000000..6b901145eb1 --- /dev/null +++ b/tests/e2e/mcp/test_mcp_toolset_enforcement_e2e.py @@ -0,0 +1,95 @@ +"""Live e2e: a key granted a toolset lists exactly the toolset's tools. + +An admin registers the real Datadog remote MCP server with its whole core toolset +exposed, discovers two of its tool names through a key granted the server outright, +and curates a toolset naming exactly those two. A second key is granted the server +plus that toolset, and its tools/list must come back as exactly those two names: no +more, so the rest of the server's catalog stays hidden behind the toolset, and no +fewer, so a tool stored under one name and read under another (which granted +nothing) fails here first. Requires DD_API_KEY + DD_APP_KEY (the suite's real MCP +upstream). +""" + +from __future__ import annotations + +from typing import Final + +import pytest +from datadog_mcp import SEARCH_LOGS_TOOL, register_datadog_mcp +from e2e_config import unique_marker +from e2e_http import unwrap +from lifecycle import ResourceManager +from mcp_client import McpClient +from models import ToolsetCreateBody, ToolsetTool + +pytestmark = pytest.mark.e2e + + +def _key( + client: McpClient, + resources: ResourceManager, + label: str, + *, + server_id: str, + toolset_id: str | None = None, +) -> str: + key: Final = client.generate_key( + user_id=f"e2e-mcp-{label}-{unique_marker()}", + mcp_servers=[server_id], + mcp_toolsets=None if toolset_id is None else [toolset_id], + ) + resources.defer(lambda: client.proxy.delete_key(key)) + return key + + +def _wire_prefix(wire_name: str, tool_name: str, catalog: frozenset[str]) -> str: + """The prefix tools/list puts in front of one server's tool names, measured off a + tool whose own name is known rather than guessed from the alias. A toolset grants + by the tool's own name, never the wire name, and the prefix is whatever the proxy + is configured to build (the alias, or a short server id), so measuring it is the + only way to cross between the two.""" + assert wire_name.endswith(tool_name), f"tools/list served {wire_name!r}, expected it to end with {tool_name!r}" + prefix: Final = wire_name[: len(wire_name) - len(tool_name)] + unprefixed: Final = frozenset(name for name in catalog if not name.startswith(prefix)) + assert not unprefixed, ( + f"every tool of one server shares the wire prefix {prefix!r}, so {sorted(unprefixed)} " + f"cannot be reduced to the names a toolset grants by" + ) + return prefix + + +class TestMcpToolsetEnforcement: + @pytest.mark.covers("mcp.list_tools.api_key.toolset_scoped") + def test_key_granted_a_toolset_lists_exactly_its_tools(self, client: McpClient, resources: ResourceManager) -> None: + server_id: Final = register_datadog_mcp(client, resources, allowed_tools=None) + client.await_registered(server_id) + + catalog_key: Final = _key(client, resources, "catalog", server_id=server_id) + known_wire: Final = client.await_tool(catalog_key, server_id, SEARCH_LOGS_TOOL) + catalog: Final = unwrap(client.list_tools(catalog_key)).tool_names_for_server(server_id) + assert len(catalog) > 2, ( + f"the Datadog core toolset must serve more tools than the toolset names, or the " + f"restriction has nothing to hide; got {sorted(catalog)}" + ) + prefix: Final = _wire_prefix(known_wire, SEARCH_LOGS_TOOL, catalog) + chosen_wire: Final = frozenset(sorted(catalog)[:2]) + chosen: Final = frozenset(name.removeprefix(prefix) for name in chosen_wire) + + toolset: Final = client.proxy.create_toolset( + ToolsetCreateBody( + toolset_name=f"e2e_toolset_{unique_marker()}", + description="two Datadog tools", + tools=[ToolsetTool(server_id=server_id, tool_name=name) for name in sorted(chosen)], + ) + ) + resources.defer(lambda: client.proxy.delete_toolset(toolset.toolset_id)) + assert frozenset(tool.tool_name for tool in toolset.tools) == chosen, ( + f"toolset stored {toolset.tools}, expected the two names {sorted(chosen)} verbatim" + ) + + scoped_key: Final = _key(client, resources, "toolset", server_id=server_id, toolset_id=toolset.toolset_id) + listed: Final = client.await_tools(scoped_key, server_id, expected=chosen_wire) + assert listed == chosen_wire, ( + f"a key granted the toolset must list exactly its two tools; " + f"got {sorted(listed)}, expected {sorted(chosen_wire)}" + ) diff --git a/tests/e2e/models.py b/tests/e2e/models.py index 9f2654e0eec..62810e6cfd9 100644 --- a/tests/e2e/models.py +++ b/tests/e2e/models.py @@ -10,6 +10,7 @@ from collections.abc import Sequence from datetime import datetime from typing import Final, Literal +from e2e_http import PartialBody from pydantic import AliasChoices, BaseModel, ConfigDict, Field, RootModel, model_serializer, model_validator # ---------- keys ---------- @@ -55,6 +56,7 @@ class KeyMetadata(BaseModel): class ObjectPermission(BaseModel): mcp_servers: list[str] | None = None mcp_access_groups: list[str] | None = None + mcp_toolsets: list[str] | None = None class KeyGenerateBody(BaseModel): @@ -77,7 +79,7 @@ class KeyGenerateBody(BaseModel): allowed_passthrough_routes: list[str] | None = None metadata: KeyMetadata | None = None object_permission: ObjectPermission | None = None - router_settings: "RouterSettingsOverride | None" = None + router_settings: RouterSettingsOverride | None = None class KeyGenerateResponse(BaseModel): @@ -516,6 +518,15 @@ class CountTokensResponse(BaseModel): # ---------- mcp servers ---------- +class McpInfo(BaseModel): + """The `mcp_info` display block stored on an MCP server; only the fields the + lifecycle test writes and reads back.""" + + server_name: str | None = None + description: str | None = None + logo_url: str | None = None + + class McpServerCreateBody(BaseModel): """POST /v1/mcp/server. For a gateway-managed OAuth server, `auth_type` is `oauth2` and `oauth2_flow` is `authorization_code`; the upstream endpoints @@ -530,6 +541,18 @@ class McpServerCreateBody(BaseModel): oauth2_flow: Literal["client_credentials", "authorization_code"] | None = None authorization_url: str | None = None token_url: str | None = None + server_name: str | None = None + description: str | None = None + mcp_info: McpInfo | None = None + + +class McpServerUpdateBody(PartialBody): + """PUT /v1/mcp/server: a field left unset keeps its stored value, a field set + to None is cleared.""" + + server_id: str + alias: str | None = None + description: str | None = None class McpServerInfo(BaseModel): @@ -543,6 +566,54 @@ class McpServerInfo(BaseModel): allow_all_keys: bool | None = None +class McpServerRow(McpServerInfo): + """A stored MCP server as the create, get, and list routes return it: the + fields the lifecycle test asserts survive the round trip.""" + + server_name: str | None = None + transport: str | None = None + description: str | None = None + mcp_info: McpInfo | None = None + + +class McpServerListResponse(RootModel[list[McpServerRow]]): + """GET /v1/mcp/server answers with a bare array of servers.""" + + +class ToolsetTool(BaseModel): + server_id: str + tool_name: str + + +class ToolsetCreateBody(BaseModel): + toolset_name: str + description: str | None = None + tools: list[ToolsetTool] + + +class ToolsetUpdateBody(PartialBody): + """PUT /v1/mcp/toolset: a field left unset keeps its stored value, a field set + to None is cleared.""" + + toolset_id: str + description: str | None = None + tools: list[ToolsetTool] | None = None + + +class ToolsetRow(BaseModel): + """A stored toolset as POST /v1/mcp/toolset, GET /v1/mcp/toolset/{toolset_id}, + and each row of GET /v1/mcp/toolset return it.""" + + toolset_id: str + toolset_name: str + description: str | None = None + tools: list[ToolsetTool] = Field(default_factory=list) + + +class ToolsetListResponse(RootModel[list[ToolsetRow]]): + """GET /v1/mcp/toolset answers with a bare array of toolsets.""" + + class EmbedBody(BaseModel): model: str input: str diff --git a/tests/e2e/proxy_client.py b/tests/e2e/proxy_client.py index 520cbfde5a9..1bac5116a9d 100644 --- a/tests/e2e/proxy_client.py +++ b/tests/e2e/proxy_client.py @@ -12,6 +12,7 @@ import time import warnings from collections.abc import Callable, Mapping from dataclasses import dataclass +from functools import reduce from datetime import datetime from types import MappingProxyType from typing import Final @@ -26,6 +27,7 @@ from e2e_http import ( Result, StreamingResponse, Success, + UnknownApiError, is_ok, unwrap, ) @@ -70,6 +72,9 @@ from models import ( SpendLogsPage, SpendLogsPageParams, SpendLogsParams, + ToolsetCreateBody, + ToolsetRow, + ToolsetUpdateBody, ) from e2e_config import ( CONTROL_PLANE_BASE_URL, @@ -82,7 +87,7 @@ from e2e_config import ( SLOW_PROVIDER_TIMEOUT_SECONDS, settle_propagation, ) -from transport import HttpTransport, SplitTransport, Transport +from transport import HttpTransport, SplitTransport, Transport, is_control_plane_path RowsPredicate = Callable[[list[SpendLogRow]], bool] @@ -235,6 +240,99 @@ def servable_timeout_message( ) +type ReplicaRead[T] = Callable[[float], T] + + +@dataclass(frozen=True, slots=True) +class EverywhereConverged[T]: + """Every replica answered with something `settled` accepts, keyed by replica.""" + + answers: Mapping[str, T] + + +@dataclass(frozen=True, slots=True) +class NeverConvergedOn[T]: + """`replica` ran out its budget without an answer `settled` accepts; `last` is + its final answer, so the failure can say what that replica still serves.""" + + replica: str + last: T + + +def _last_answer[T]( + read: ReplicaRead[T], + *, + settled: Callable[[T], bool], + timeout: float, + interval: float, + request_timeout: float, + now: Callable[[], float], + sleep: Callable[[float], None], +) -> T: + """Poll `read` until `settled` accepts its answer or `timeout` runs out, and + return the last answer either way. Each read's request timeout is clamped to + the budget left, and the final poll runs even when less than an interval + remains, so a deadline never skips the read that would have settled.""" + deadline: Final = now() + timeout + answer = read(min(request_timeout, timeout)) + while not settled(answer): + remaining = deadline - now() + if remaining <= 0: + return answer + sleep(min(interval, remaining)) + answer = read(min(request_timeout, remaining)) + return answer + + +def await_everywhere[T]( + reads: Mapping[str, ReplicaRead[T]], + *, + settled: Callable[[T], bool], + timeout: float, + interval: float, + request_timeout: float, + now: Callable[[], float], + sleep: Callable[[float], None], +) -> EverywhereConverged[T] | NeverConvergedOn[T]: + """`_last_answer` against every replica in turn, each with the full budget, so a + write counts as visible only once the last replica reflects it, and stop at the + first replica that never converges. Clock and sleep are injected.""" + def read_replica( + outcome: EverywhereConverged[T] | NeverConvergedOn[T], + item: tuple[str, ReplicaRead[T]], + ) -> EverywhereConverged[T] | NeverConvergedOn[T]: + if isinstance(outcome, NeverConvergedOn): + return outcome + replica, read = item + answer: Final = _last_answer( + read, + settled=settled, + timeout=timeout, + interval=interval, + request_timeout=request_timeout, + now=now, + sleep=sleep, + ) + if not settled(answer): + return NeverConvergedOn(replica=replica, last=answer) + return EverywhereConverged(answers=MappingProxyType({**outcome.answers, replica: answer})) + + initial: Final[EverywhereConverged[T] | NeverConvergedOn[T]] = EverywhereConverged(answers=MappingProxyType({})) + return reduce(read_replica, reads.items(), initial) + + +def _is_not_found[R: BaseModel](result: Result[R]) -> bool: + return isinstance(result, UnknownApiError) and result.status_code == 404 + + +def _status_of[R: BaseModel](result: Result[R]) -> int: + match result: + case Success(status_code=status_code) | UnknownApiError(status_code=status_code): + return status_code + case _: + return -1 + + type Poller[T] = Callable[[], T] @@ -321,6 +419,7 @@ def converge_timeout_message(*, what: str, replica: str, timeout: float, last_re class ProxyClient: transport: Transport replicas: Mapping[str, Transport] + control_replicas: Mapping[str, Transport] poll_timeout: float = 120.0 poll_interval: float = 5.0 model_servable_timeout: float = MODEL_SERVABLE_TIMEOUT @@ -569,6 +668,112 @@ class ProxyClient: if not is_ok(result): warnings.warn(f"delete_model({model_id!r}) failed: {result}", stacklevel=2) + # ---- replica read-back ---------------------------------------------- + + def replicas_for(self, path: str) -> Mapping[str, Transport]: + """The replicas that serve `path`: every data-plane replica for an LLM route, + and for a management route the control-plane replicas, since the data-plane + replicas trim management routes and answer them 404. A monolith serves both + from every replica, so a management read-back polls all of them; a split + deployment exposes one control-plane address (there is one backend process + behind it on the stack these suites run against), so it polls that. A + control plane fronting several backends would need its own replica list to + prove each one converged, the way PROXY_REPLICA_URLS does for the gateways. + Never empty: a read-back against no replica would assert nothing and pass.""" + replicas: Final = self.control_replicas if is_control_plane_path(path) else self.replicas + assert replicas, f"no replica is configured to serve {path}, so a read-back there would prove nothing" + return replicas + + def read_body_back_everywhere[R: BaseModel]( + self, path: str, response_type: type[R], *, settled: Callable[[R], bool] + ) -> Mapping[str, R]: + """GET `path` on every replica that serves it, polling each to poll_timeout + until `settled` accepts its body, and fail naming the first replica that + never converged. Returns each replica's settled body, keyed by replica, so + the caller can assert the rest of it.""" + outcome: Final = await_everywhere( + {url: self._reader(transport, path, response_type) for url, transport in self.replicas_for(path).items()}, + settled=lambda result: isinstance(result, Success) and settled(result.data), + timeout=self.poll_timeout, + interval=self.poll_interval, + request_timeout=REQUEST_TIMEOUT, + now=time.monotonic, + sleep=time.sleep, + ) + match outcome: + case EverywhereConverged(answers=answers): + return MappingProxyType({url: unwrap(result) for url, result in answers.items()}) + case NeverConvergedOn(replica=replica, last=last): + raise AssertionError( + f"GET {path} on {replica} never converged within {self.poll_timeout}s of the write; " + f"last read: {last}" + ) + + def gone_everywhere(self, path: str) -> Mapping[str, int]: + """Poll GET `path` on every replica that serves it until each stops serving + it, and fail naming the first replica that still does at poll_timeout. + Returns each replica's final status, so the caller asserts the 404 itself.""" + outcome: Final = await_everywhere( + {url: self._reader(transport, path, NoBody) for url, transport in self.replicas_for(path).items()}, + settled=_is_not_found, + timeout=self.poll_timeout, + interval=self.poll_interval, + request_timeout=REQUEST_TIMEOUT, + now=time.monotonic, + sleep=time.sleep, + ) + match outcome: + case EverywhereConverged(answers=answers): + return MappingProxyType({url: _status_of(result) for url, result in answers.items()}) + case NeverConvergedOn(replica=replica, last=last): + raise AssertionError( + f"GET {path} on {replica} still answers {self.poll_timeout}s after the delete; last read: {last}" + ) + + @staticmethod + def _reader[R: BaseModel](transport: Transport, path: str, response_type: type[R]) -> ReplicaRead[Result[R]]: + return lambda request_timeout: transport.get( + path, + headers=transport.master, + params=NoBody(), + response_type=response_type, + timeout=request_timeout, + ) + + # ---- mcp toolsets --------------------------------------------------- + + def create_toolset(self, body: ToolsetCreateBody) -> ToolsetRow: + return unwrap( + self.transport.post( + "/v1/mcp/toolset", + headers=self.transport.master, + json=body, + response_type=ToolsetRow, + ) + ) + + def update_toolset(self, body: ToolsetUpdateBody) -> ToolsetRow: + """PUT /v1/mcp/toolset: a partial update where a field left unset keeps its + stored value and None clears it.""" + return unwrap( + self.transport.put( + "/v1/mcp/toolset", + headers=self.transport.master, + json=body, + response_type=ToolsetRow, + ) + ) + + def delete_toolset(self, toolset_id: str) -> Result[NoBody]: + """DELETE /v1/mcp/toolset/{toolset_id}. Returns the outcome so the act phase + can unwrap it while a deferred teardown can ignore an already-deleted row.""" + return self.transport.delete( + f"/v1/mcp/toolset/{toolset_id}", + headers=self.transport.master, + json=NoBody(), + response_type=NoBody, + ) + def create_credential(self, body: CredentialCreateBody) -> None: unwrap( self.transport.post( @@ -736,7 +941,10 @@ def build_proxy_client( base URLs are the same for a monolithic proxy, so routing is then a no-op. ``replica_urls`` (PROXY_REPLICA_URLS) names every data-plane replica the model barrier polls directly; it is the data-plane URL itself unless the stack - exports each gateway's own address. + exports each gateway's own address. Management read-backs poll those same + replicas when the two planes share a base URL (a monolith, where every replica + serves every route) and the control plane alone when they differ (a split + deployment, where the data-plane replicas do not serve management routes). The endpoints are injectable for callers that resolve the proxy some other way than ``e2e_config``'s env names (see ``claude_code/_env.py``); they must @@ -764,9 +972,13 @@ def build_proxy_client( for url in replica_urls } ) + control_replicas: Final = ( + replicas if control_plane_base_url == base_url else MappingProxyType({control_plane_base_url: split.control}) + ) return ProxyClient( transport=split, replicas=replicas, + control_replicas=control_replicas, poll_timeout=POLL_TIMEOUT, poll_interval=POLL_INTERVAL, ) diff --git a/tests/e2e/router/test_auto_router_regressions_e2e.py b/tests/e2e/router/test_auto_router_regressions_e2e.py index 188db2a8eb5..374badcf5fc 100644 --- a/tests/e2e/router/test_auto_router_regressions_e2e.py +++ b/tests/e2e/router/test_auto_router_regressions_e2e.py @@ -41,6 +41,7 @@ which stores either the registered alias or the provider-prefixed form. import json import os from collections.abc import Iterator +from contextlib import ExitStack from dataclasses import dataclass from typing import Final @@ -120,19 +121,10 @@ class ResponsesApiResponse(BaseModel): @dataclass(frozen=True, slots=True) -class TagSplitDeployments: - """Scenario A mirrors the customer-shaped config from GitHub issue #36619: - plain deployment registered first, tier deployment and marker both tagged. - Scenario B flips both axes for GitHub issue #36621: marker registered first - and its tier deployment left untagged, so routing depends neither on - registration order nor on tier deployments carrying tags.""" - - tag_a: str - shared_a: str - tier_a: str - tag_b: str - shared_b: str - tier_b: str +class TagSplitDeployment: + tag: str + shared: str + tier: str @dataclass(frozen=True, slots=True) @@ -173,9 +165,7 @@ def _uniform_tier_config(tier_model: str) -> dict[str, object]: } -def _key_for( - proxy: ProxyClient, resources: ResourceManager, models: list[str], tag_filtering: bool = False -) -> str: +def _key_for(proxy: ProxyClient, resources: ResourceManager, models: list[str], tag_filtering: bool = False) -> str: key: Final = proxy.generate_key( KeyGenerateBody( models=models, @@ -211,46 +201,61 @@ def _assert_served_only_by(rows: list[SpendLogRow], allowed: frozenset[str], con ) -@pytest.fixture(scope="module") -def split(proxy: ProxyClient) -> Iterator[TagSplitDeployments]: +@pytest.fixture(scope="class") +def router_stack() -> Iterator[ExitStack]: + with ExitStack() as stack: + yield stack + + +def _register_models( + proxy: ProxyClient, stack: ExitStack, registrations: tuple[tuple[str, LiteLLMParamsBody], ...] +) -> None: + for name, params in registrations: + stack.callback(proxy.delete_model, proxy.create_model(name, params)) + + +def _tag_split(proxy: ProxyClient, stack: ExitStack, *, marker_first: bool) -> TagSplitDeployment: marker: Final = unique_marker() - deployments: Final = TagSplitDeployments( - tag_a=f"e2e-split-a-{marker}", - shared_a=f"e2e-autoroute-a-{marker}", - tier_a=f"e2e-tier-a-{marker}", - tag_b=f"e2e-split-b-{marker}", - shared_b=f"e2e-autoroute-b-{marker}", - tier_b=f"e2e-tier-b-{marker}", + named: Final = TagSplitDeployment( + tag=f"e2e-split-{marker}", + shared=f"e2e-autoroute-{marker}", + tier=f"e2e-tier-{marker}", ) anthropic_key: Final = _provider_key("ANTHROPIC_API_KEY") - marker_params_a: Final = LiteLLMParamsBody( - model="auto_router/complexity_router", - complexity_router_config=_uniform_tier_config(deployments.tier_a), - tags=[deployments.tag_a], + marker_registration: Final = ( + named.shared, + LiteLLMParamsBody( + model="auto_router/complexity_router", + complexity_router_config=_uniform_tier_config(named.tier), + tags=[named.tag], + ), ) - marker_params_b: Final = LiteLLMParamsBody( - model="auto_router/complexity_router", - complexity_router_config=_uniform_tier_config(deployments.tier_b), - tags=[deployments.tag_b], + tier_registration: Final = ( + named.tier, + LiteLLMParamsBody(model=CHEAP_MODEL, api_key=anthropic_key, tags=None if marker_first else [named.tag]), ) - registrations: Final[tuple[tuple[str, LiteLLMParamsBody], ...]] = ( - (deployments.shared_a, LiteLLMParamsBody(model=PLAIN_MODEL, api_key=anthropic_key)), - (deployments.tier_a, LiteLLMParamsBody(model=CHEAP_MODEL, api_key=anthropic_key, tags=[deployments.tag_a])), - (deployments.shared_a, marker_params_a), - (deployments.shared_b, marker_params_b), - (deployments.tier_b, LiteLLMParamsBody(model=CHEAP_MODEL, api_key=anthropic_key)), - (deployments.shared_b, LiteLLMParamsBody(model=PLAIN_MODEL, api_key=anthropic_key)), + plain_registration: Final = (named.shared, LiteLLMParamsBody(model=PLAIN_MODEL, api_key=anthropic_key)) + registrations: Final = ( + (marker_registration, tier_registration, plain_registration) + if marker_first + else (plain_registration, tier_registration, marker_registration) ) - created: Final = tuple(proxy.create_model(name, params) for name, params in registrations) - try: - yield deployments - finally: - for model_id in created: - proxy.delete_model(model_id) + _register_models(proxy, stack, registrations) + return named -@pytest.fixture(scope="module") -def zero_priced_alias(proxy: ProxyClient) -> Iterator[ZeroPricedAlias]: +@pytest.fixture(scope="class") +def plain_first_split(proxy: ProxyClient, router_stack: ExitStack) -> TagSplitDeployment: + return _tag_split(proxy, router_stack, marker_first=False) + + +@pytest.fixture(scope="class") +def marker_first_split(proxy: ProxyClient, router_stack: ExitStack) -> TagSplitDeployment: + return _tag_split(proxy, router_stack, marker_first=True) + + +@pytest.fixture(scope="class") +def zero_priced_alias(proxy: ProxyClient, router_stack: ExitStack) -> ZeroPricedAlias: marker: Final = unique_marker() named: Final = ZeroPricedAlias(alias=f"e2e-priced-alias-{marker}", tier=f"e2e-priced-tier-{marker}") alias_params: Final = LiteLLMParamsBody( @@ -263,16 +268,12 @@ def zero_priced_alias(proxy: ProxyClient) -> Iterator[ZeroPricedAlias]: (named.tier, LiteLLMParamsBody(model=CHEAP_MODEL, api_key=_provider_key("ANTHROPIC_API_KEY"))), (named.alias, alias_params), ) - created: Final = tuple(proxy.create_model(name, params) for name, params in registrations) - try: - yield named - finally: - for model_id in created: - proxy.delete_model(model_id) + _register_models(proxy, router_stack, registrations) + return named -@pytest.fixture(scope="module") -def heuristic_split(proxy: ProxyClient) -> Iterator[HeuristicSplit]: +@pytest.fixture(scope="class") +def heuristic_split(proxy: ProxyClient, router_stack: ExitStack) -> HeuristicSplit: marker: Final = unique_marker() named: Final = HeuristicSplit( alias=f"e2e-heuristic-router-{marker}", @@ -289,16 +290,12 @@ def heuristic_split(proxy: ProxyClient) -> Iterator[HeuristicSplit]: (named.strong, LiteLLMParamsBody(model=STRONG_MODEL, api_key=_provider_key("OPENAI_API_KEY"))), (named.alias, LiteLLMParamsBody(model="auto_router/complexity_router", complexity_router_config=config)), ) - created: Final = tuple(proxy.create_model(name, params) for name, params in registrations) - try: - yield named - finally: - for model_id in created: - proxy.delete_model(model_id) + _register_models(proxy, router_stack, registrations) + return named -@pytest.fixture(scope="module") -def semantic_auto_router(proxy: ProxyClient) -> Iterator[SemanticAutoRouter]: +@pytest.fixture(scope="class") +def semantic_auto_router(proxy: ProxyClient, router_stack: ExitStack) -> SemanticAutoRouter: marker: Final = unique_marker() named: Final = SemanticAutoRouter( marker=f"e2e-semantic-router-{marker}", @@ -321,16 +318,12 @@ def semantic_auto_router(proxy: ProxyClient) -> Iterator[SemanticAutoRouter]: (named.fallback, LiteLLMParamsBody(model=PLAIN_MODEL, api_key=_provider_key("ANTHROPIC_API_KEY"))), (named.marker, marker_params), ) - created: Final = tuple(proxy.create_model(name, params) for name, params in registrations) - try: - yield named - finally: - for model_id in created: - proxy.delete_model(model_id) + _register_models(proxy, router_stack, registrations) + return named -@pytest.fixture(scope="module") -def credentialed_alias(proxy: ProxyClient) -> Iterator[CredentialedAlias]: +@pytest.fixture(scope="class") +def credentialed_alias(proxy: ProxyClient, router_stack: ExitStack) -> CredentialedAlias: marker: Final = unique_marker() named: Final = CredentialedAlias(alias=f"e2e-cred-alias-{marker}", tier=f"e2e-cred-tier-{marker}") alias_params: Final = LiteLLMParamsBody( @@ -342,104 +335,110 @@ def credentialed_alias(proxy: ProxyClient) -> Iterator[CredentialedAlias]: (named.tier, LiteLLMParamsBody(model=CHEAP_MODEL, api_key=_provider_key("ANTHROPIC_API_KEY"))), (named.alias, alias_params), ) - created: Final = tuple(proxy.create_model(name, params) for name, params in registrations) - try: - yield named - finally: - for model_id in created: - proxy.delete_model(model_id) + _register_models(proxy, router_stack, registrations) + return named class TestTagSplitRouting: @pytest.mark.covers("reliability.routing.tagged_marker.request_tag_selects_marker") def test_body_tagged_chat_routes_through_the_marker_to_its_tier( - self, proxy: ProxyClient, resources: ResourceManager, split: TagSplitDeployments + self, proxy: ProxyClient, resources: ResourceManager, plain_first_split: TagSplitDeployment ) -> None: """Pins GitHub issue #36619: with tag filtering on, a chat request whose body metadata tags match the tagged marker under a shared model name is answered by the marker's tier deployment, not by the plain deployment that was registered under the name first.""" - key: Final = _key_for(proxy, resources, [split.shared_a, split.tier_a], tag_filtering=True) - chat: Final = unwrap(proxy.chat(key, _hello_chat_body(split.shared_a, tags=[split.tag_a]))) + key: Final = _key_for(proxy, resources, [plain_first_split.shared, plain_first_split.tier], tag_filtering=True) + chat: Final = unwrap(proxy.chat(key, _hello_chat_body(plain_first_split.shared, tags=[plain_first_split.tag]))) assert chat.choices, "tagged chat through the shared name returned no choices" rows: Final = proxy.poll_logs_for_key(key, min_rows=1) - _assert_served_only_by(rows, CHEAP_SERVED | {split.tier_a}, "body-tagged chat on the shared name") + _assert_served_only_by(rows, CHEAP_SERVED | {plain_first_split.tier}, "body-tagged chat on the shared name") @pytest.mark.covers("reliability.routing.tagged_marker.untagged_request_served_by_plain_deployment") def test_untagged_chat_is_always_served_by_the_plain_deployment( - self, proxy: ProxyClient, resources: ResourceManager, split: TagSplitDeployments + self, proxy: ProxyClient, resources: ResourceManager, plain_first_split: TagSplitDeployment ) -> None: """Pins GitHub issue #36620: untagged chat requests to the shared name succeed on every call and are all served by the plain deployment; the tagged marker never captures them, so no intermittent auto-router errors and no tier hijacking.""" - key: Final = _key_for(proxy, resources, [split.shared_a, split.tier_a], tag_filtering=True) + key: Final = _key_for(proxy, resources, [plain_first_split.shared, plain_first_split.tier], tag_filtering=True) for _ in range(5): - chat = unwrap(proxy.chat(key, _hello_chat_body(split.shared_a))) + chat = unwrap(proxy.chat(key, _hello_chat_body(plain_first_split.shared))) assert chat.choices, "untagged chat through the shared name returned no choices" rows: Final = proxy.poll_logs_for_key(key, min_rows=5) - _assert_served_only_by(rows, PLAIN_SERVED | {split.shared_a}, "untagged chat on the shared name") + _assert_served_only_by(rows, PLAIN_SERVED | {plain_first_split.shared}, "untagged chat on the shared name") @pytest.mark.covers("reliability.routing.tagged_marker.untagged_request_served_by_plain_deployment") def test_untagged_messages_is_served_by_the_plain_deployment( - self, proxy: ProxyClient, resources: ResourceManager, split: TagSplitDeployments + self, proxy: ProxyClient, resources: ResourceManager, plain_first_split: TagSplitDeployment ) -> None: """Pins GitHub issue #36620 on the /v1/messages surface: an untagged Anthropic-native request to the shared name is served by the plain deployment, not captured by the tagged marker.""" - key: Final = _key_for(proxy, resources, [split.shared_a, split.tier_a], tag_filtering=True) - answer: Final = unwrap(proxy.messages(key, _hello_messages_body(split.shared_a))) + key: Final = _key_for(proxy, resources, [plain_first_split.shared, plain_first_split.tier], tag_filtering=True) + answer: Final = unwrap(proxy.messages(key, _hello_messages_body(plain_first_split.shared))) assert answer.content or answer.choices, "untagged /v1/messages returned neither content nor choices" rows: Final = proxy.poll_logs_for_key(key, min_rows=1) - _assert_served_only_by(rows, PLAIN_SERVED | {split.shared_a}, "untagged /v1/messages on the shared name") + _assert_served_only_by( + rows, PLAIN_SERVED | {plain_first_split.shared}, "untagged /v1/messages on the shared name" + ) class TestUntaggedTierDeployments: @pytest.mark.covers("reliability.routing.tagged_marker.header_tag_selects_marker") def test_header_tagged_messages_routes_through_the_marker_to_an_untagged_tier( - self, proxy: ProxyClient, resources: ResourceManager, split: TagSplitDeployments + self, proxy: ProxyClient, resources: ResourceManager, marker_first_split: TagSplitDeployment ) -> None: """Pins GitHub issue #36621: a /v1/messages request tagged only via the x-litellm-tags header selects the tagged marker, and the rewrite still lands on the tier deployment even though that deployment carries no tags, because the marker consumed the routing tags.""" - key: Final = _key_for(proxy, resources, [split.shared_b, split.tier_b], tag_filtering=True) - headers: Final = TaggedAnthropicHeaders(authorization=f"Bearer {key}", x_litellm_tags=split.tag_b) + key: Final = _key_for( + proxy, resources, [marker_first_split.shared, marker_first_split.tier], tag_filtering=True + ) + headers: Final = TaggedAnthropicHeaders(authorization=f"Bearer {key}", x_litellm_tags=marker_first_split.tag) answer: Final = unwrap( proxy.transport.post( "/v1/messages", headers=headers, - json=_hello_messages_body(split.shared_b), + json=_hello_messages_body(marker_first_split.shared), response_type=AnthropicMessagesResponse, ) ) assert answer.content or answer.choices, "header-tagged /v1/messages returned neither content nor choices" rows: Final = proxy.poll_logs_for_key(key, min_rows=1) - _assert_served_only_by(rows, CHEAP_SERVED | {split.tier_b}, "header-tagged /v1/messages on the shared name") + _assert_served_only_by( + rows, CHEAP_SERVED | {marker_first_split.tier}, "header-tagged /v1/messages on the shared name" + ) @pytest.mark.covers("reliability.routing.tagged_marker.untagged_tier_deployments_still_served") def test_body_tagged_chat_reaches_the_untagged_tier_after_marker_rewrite( - self, proxy: ProxyClient, resources: ResourceManager, split: TagSplitDeployments + self, proxy: ProxyClient, resources: ResourceManager, marker_first_split: TagSplitDeployment ) -> None: """Pins the tag-consumption half of GitHub issue #36621: after the tagged marker rewrites the request to its tier model, the consumed routing tags no longer constrain deployment selection, so the untagged tier deployment serves the request instead of a strict-tag denial.""" - key: Final = _key_for(proxy, resources, [split.shared_b, split.tier_b], tag_filtering=True) - chat: Final = unwrap(proxy.chat(key, _hello_chat_body(split.shared_b, tags=[split.tag_b]))) + key: Final = _key_for( + proxy, resources, [marker_first_split.shared, marker_first_split.tier], tag_filtering=True + ) + chat: Final = unwrap( + proxy.chat(key, _hello_chat_body(marker_first_split.shared, tags=[marker_first_split.tag])) + ) assert chat.choices, "body-tagged chat through the marker-first shared name returned no choices" rows: Final = proxy.poll_logs_for_key(key, min_rows=1) - _assert_served_only_by(rows, CHEAP_SERVED | {split.tier_b}, "body-tagged chat with untagged tier") + _assert_served_only_by(rows, CHEAP_SERVED | {marker_first_split.tier}, "body-tagged chat with untagged tier") @pytest.mark.covers("reliability.routing.tagged_marker.tag_semantics_stay_strict") def test_tagged_call_straight_at_an_untagged_deployment_stays_denied( - self, proxy: ProxyClient, resources: ResourceManager, split: TagSplitDeployments + self, proxy: ProxyClient, resources: ResourceManager, marker_first_split: TagSplitDeployment ) -> None: """The tag-consumption fix must not loosen strict tag semantics: a tagged request aimed directly at an untagged deployment (no marker involved) is still rejected with the 401 tags-configuration error.""" - key: Final = _key_for(proxy, resources, [split.tier_b], tag_filtering=True) - result: Final = proxy.chat(key, _hello_chat_body(split.tier_b, tags=[split.tag_b])) + key: Final = _key_for(proxy, resources, [marker_first_split.tier], tag_filtering=True) + result: Final = proxy.chat(key, _hello_chat_body(marker_first_split.tier, tags=[marker_first_split.tag])) assert isinstance(result, UnauthorizedError), ( f"expected the tagged direct call to an untagged deployment to be denied with 401, got {result}" ) @@ -451,37 +450,39 @@ class TestUntaggedTierDeployments: class TestResponsesApiTagRouting: @pytest.mark.covers("reliability.routing.tagged_marker.responses_input_routes_through_marker") def test_header_tagged_responses_with_string_input_routes_to_the_tier( - self, proxy: ProxyClient, resources: ResourceManager, split: TagSplitDeployments + self, proxy: ProxyClient, resources: ResourceManager, plain_first_split: TagSplitDeployment ) -> None: """Pins the /v1/responses surface of the tag split (GitHub issues #36620/#36621): a /v1/responses request with string input, tagged via the x-litellm-tags header, succeeds and routes through the tagged marker to its tier.""" - key: Final = _key_for(proxy, resources, [split.shared_a, split.tier_a], tag_filtering=True) - headers: Final = TaggedAuthHeaders(authorization=f"Bearer {key}", x_litellm_tags=split.tag_a) + key: Final = _key_for(proxy, resources, [plain_first_split.shared, plain_first_split.tier], tag_filtering=True) + headers: Final = TaggedAuthHeaders(authorization=f"Bearer {key}", x_litellm_tags=plain_first_split.tag) body: Final = ResponsesBody( - model=split.shared_a, input=f"say hello {unique_marker()}", max_output_tokens=64 + model=plain_first_split.shared, input=f"say hello {unique_marker()}", max_output_tokens=64 ) answer: Final = unwrap( proxy.transport.post("/v1/responses", headers=headers, json=body, response_type=ResponsesApiResponse) ) assert answer.id, "header-tagged /v1/responses returned no response id" rows: Final = proxy.poll_logs_for_key(key, min_rows=1) - _assert_served_only_by(rows, CHEAP_SERVED | {split.tier_a}, "header-tagged /v1/responses string input") + _assert_served_only_by( + rows, CHEAP_SERVED | {plain_first_split.tier}, "header-tagged /v1/responses string input" + ) @pytest.mark.covers("reliability.routing.tagged_marker.responses_input_routes_through_marker") def test_body_tagged_responses_with_list_input_routes_to_the_tier( - self, proxy: ProxyClient, resources: ResourceManager, split: TagSplitDeployments + self, proxy: ProxyClient, resources: ResourceManager, plain_first_split: TagSplitDeployment ) -> None: """Pins the body-tag and list-input combination of the same split: /v1/responses with litellm_metadata.tags and structured input items routes through the tagged marker to its tier.""" - key: Final = _key_for(proxy, resources, [split.shared_a, split.tier_a], tag_filtering=True) + key: Final = _key_for(proxy, resources, [plain_first_split.shared, plain_first_split.tier], tag_filtering=True) body: Final = ResponsesBody( - model=split.shared_a, + model=plain_first_split.shared, input=[ResponsesInputItem(role="user", content=f"say hello {unique_marker()}")], max_output_tokens=64, - litellm_metadata=ResponsesTagMetadata(tags=[split.tag_a]), + litellm_metadata=ResponsesTagMetadata(tags=[plain_first_split.tag]), ) answer: Final = unwrap( proxy.transport.post( @@ -493,18 +494,18 @@ class TestResponsesApiTagRouting: ) assert answer.id, "body-tagged /v1/responses returned no response id" rows: Final = proxy.poll_logs_for_key(key, min_rows=1) - _assert_served_only_by(rows, CHEAP_SERVED | {split.tier_a}, "body-tagged /v1/responses list input") + _assert_served_only_by(rows, CHEAP_SERVED | {plain_first_split.tier}, "body-tagged /v1/responses list input") @pytest.mark.covers("reliability.routing.tagged_marker.untagged_request_served_by_plain_deployment") def test_untagged_responses_is_served_by_the_plain_deployment( - self, proxy: ProxyClient, resources: ResourceManager, split: TagSplitDeployments + self, proxy: ProxyClient, resources: ResourceManager, plain_first_split: TagSplitDeployment ) -> None: """Pins the untagged half of the /v1/responses tag split: an untagged request to the shared name is served by the plain deployment, matching the chat and messages surfaces.""" - key: Final = _key_for(proxy, resources, [split.shared_a, split.tier_a], tag_filtering=True) + key: Final = _key_for(proxy, resources, [plain_first_split.shared, plain_first_split.tier], tag_filtering=True) body: Final = ResponsesBody( - model=split.shared_a, input=f"say hello {unique_marker()}", max_output_tokens=64 + model=plain_first_split.shared, input=f"say hello {unique_marker()}", max_output_tokens=64 ) answer: Final = unwrap( proxy.transport.post( @@ -516,7 +517,9 @@ class TestResponsesApiTagRouting: ) assert answer.id, "untagged /v1/responses returned no response id" rows: Final = proxy.poll_logs_for_key(key, min_rows=1) - _assert_served_only_by(rows, PLAIN_SERVED | {split.shared_a}, "untagged /v1/responses on the shared name") + _assert_served_only_by( + rows, PLAIN_SERVED | {plain_first_split.shared}, "untagged /v1/responses on the shared name" + ) class TestStrategyAliasPricing: @@ -551,9 +554,7 @@ class TestComplexityHeuristicScope: while the accompanying ~2KB agent system prompt is packed with enough reasoning and complexity keywords that scoring the combined text lands in REASONING; only ask-only scoring keeps this on the cheap tier.""" - key: Final = _key_for( - proxy, resources, [heuristic_split.alias, heuristic_split.cheap, heuristic_split.strong] - ) + key: Final = _key_for(proxy, resources, [heuristic_split.alias, heuristic_split.cheap, heuristic_split.strong]) body: Final = ChatBody( model=heuristic_split.alias, messages=[ diff --git a/tests/e2e/test_e2e_http.py b/tests/e2e/test_e2e_http.py index 66841725d1d..81cd6c8d3d1 100644 --- a/tests/e2e/test_e2e_http.py +++ b/tests/e2e/test_e2e_http.py @@ -13,13 +13,24 @@ monkeypatches anything. from __future__ import annotations from collections.abc import Callable, Iterator, Mapping, Sequence -from dataclasses import dataclass, field +from dataclasses import dataclass from types import MappingProxyType from typing import Final import pytest - -from e2e_http import RETRY_ATTEMPTS, TRANSIENT_STATUSES, request_with_retry, streaming_outcome +from e2e_http import ( + RETRY_ATTEMPTS, + TRANSIENT_STATUSES, + NoBody, + PartialBody, + Success, + ValidationError, + classify, + request_with_retry, + streaming_outcome, + wire_body, +) +from pydantic import BaseModel, TypeAdapter @dataclass @@ -33,10 +44,10 @@ class FakeResponse: @dataclass class SleepRecorder: - delays: list[float] = field(default_factory=list) + delays: tuple[float, ...] = () def __call__(self, seconds: float) -> None: - self.delays.append(seconds) + self.delays += (seconds,) def _issue_from(responses: Sequence[FakeResponse]) -> Callable[[], FakeResponse]: @@ -55,7 +66,7 @@ class TestTransientRetryPolicy: sleep = SleepRecorder() result = request_with_retry(_issue_from(responses), sleep=sleep) assert result is responses[0] - assert sleep.delays == [] + assert sleep.delays == () assert responses[0].close_calls == 0 def test_429_is_never_retried(self) -> None: @@ -63,7 +74,7 @@ class TestTransientRetryPolicy: sleep = SleepRecorder() result = request_with_retry(_issue_from(responses), sleep=sleep) assert result is responses[0] - assert sleep.delays == [] + assert sleep.delays == () assert responses[0].close_calls == 0 def test_overloaded_529_retries_with_backoff_then_returns_the_success(self) -> None: @@ -71,7 +82,7 @@ class TestTransientRetryPolicy: sleep = SleepRecorder() result = request_with_retry(_issue_from(responses), sleep=sleep) assert result is responses[1] - assert sleep.delays == [0.5] + assert sleep.delays == (0.5,) assert responses[0].close_calls == 1 assert responses[1].close_calls == 0 @@ -80,7 +91,7 @@ class TestTransientRetryPolicy: sleep = SleepRecorder() result = request_with_retry(_issue_from(responses), sleep=sleep) assert result is responses[RETRY_ATTEMPTS - 1] - assert sleep.delays == [0.5, 1.0] + assert sleep.delays == (0.5, 1.0) assert [r.close_calls for r in responses] == [1, 1, 0, 0] @@ -134,3 +145,65 @@ class TestStreamEventArrivals: assert result.stream_events == [] assert result.stream_event_arrivals == [] assert result.body == "bad request" + + +class _ServerUpdate(PartialBody): + server_id: str + alias: str | None = None + description: str | None = None + + +class _ServerCreate(BaseModel): + alias: str + description: str | None = None + + +class TestWireBody: + """A partial-update body must put exactly the caller's choice on the wire: an + omitted field stays off it so the route keeps the stored value, and an explicit + None goes out as JSON null so the route clears it. Plain bodies keep dropping + None, which is what every create route expects.""" + + def test_partial_body_omits_unset_fields_and_sends_explicit_none_as_null(self) -> None: + assert wire_body(_ServerUpdate(server_id="s1", description=None)) == {"server_id": "s1", "description": None} + assert wire_body(_ServerUpdate(server_id="s1", alias="renamed")) == {"server_id": "s1", "alias": "renamed"} + + def test_plain_body_drops_none_fields(self) -> None: + assert wire_body(_ServerCreate(alias="a", description=None)) == {"alias": "a"} + + +_JSON: Final[TypeAdapter[object]] = TypeAdapter(object) + + +@dataclass +class FakeJsonResponse: + """The `classify` view of a response: a status, the raw body bytes, and the + parse that would raise on an empty one.""" + + status_code: int + content: bytes + + @property + def ok(self) -> bool: + return self.status_code < 400 + + @property + def text(self) -> str: + return self.content.decode() + + def json(self) -> object: + return _JSON.validate_json(self.content) + + +class TestClassifyEmptyBody: + """A delete that answers 202 with no body is a success, not a parse failure: + the MCP server and toolset delete routes both answer that way, and reading it + as a failure would hide a delete that did not happen behind one that did.""" + + def test_empty_2xx_body_is_a_success(self) -> None: + result: Final = classify(FakeJsonResponse(status_code=202, content=b""), NoBody) + assert isinstance(result, Success) and result.status_code == 202 + + def test_body_that_is_not_json_is_still_a_validation_failure(self) -> None: + result: Final = classify(FakeJsonResponse(status_code=200, content=b""), NoBody) + assert isinstance(result, ValidationError) diff --git a/tests/e2e/test_proxy_client.py b/tests/e2e/test_proxy_client.py index 2caac58333f..3b84a47e3cc 100644 --- a/tests/e2e/test_proxy_client.py +++ b/tests/e2e/test_proxy_client.py @@ -15,28 +15,35 @@ from collections.abc import Iterable, Mapping from dataclasses import dataclass from itertools import chain, repeat from types import MappingProxyType -from typing import Final +from typing import Final, cast import pytest - from e2e_config import parse_replica_urls from e2e_http import Result, Success from models import KeyInfo, KeyInfoResponse, ModelListEntry, ModelsListResponse from proxy_client import ( - Poller, ConvergeOutcome, Converged, + EverywhereConverged, ModelsPoller, + NeverConvergedOn, NotConverged, NotServableOn, + Poller, + ProxyClient, + ReplicaRead, Servable, await_converged_everywhere, + await_everywhere, await_servable_everywhere, - first_lagging_replica, + build_proxy_client, converge_timeout_message, + first_lagging_replica, ) +from transport import Transport MODEL: Final = "gpt-under-test" +_NO_TRANSPORTS: Final = cast(Transport, None) TIMEOUT: Final = 10.0 INTERVAL: Final = 2.0 RPM_BEFORE_UPDATE: Final = 100 @@ -187,3 +194,83 @@ class TestParseReplicaUrls: def test_falls_back_to_the_data_plane_address_when_unset(self) -> None: assert parse_replica_urls("", "http://lb") == ("http://lb",) + + +def _answers(answers: Iterable[str]) -> ReplicaRead[str]: + it: Final = iter(answers) + return lambda _timeout: next(it) + + +def _await_everywhere(reads: Mapping[str, ReplicaRead[str]]) -> EverywhereConverged[str] | NeverConvergedOn[str]: + clock: Final = FakeClock() + return await_everywhere( + reads, + settled=lambda answer: answer == "renamed", + timeout=TIMEOUT, + interval=INTERVAL, + request_timeout=5.0, + now=clock.now, + sleep=clock.sleep, + ) + + +class TestAwaitEverywhere: + def test_waits_for_the_lagging_replica_and_returns_every_settled_answer(self) -> None: + reads: Final = { + "gateway-1": _answers(repeat("renamed")), + "gateway-2": _answers(chain(repeat("stale", 2), repeat("renamed"))), + } + outcome: Final = _await_everywhere(reads) + assert isinstance(outcome, EverywhereConverged) + assert dict(outcome.answers) == {"gateway-1": "renamed", "gateway-2": "renamed"} + + def test_names_the_replica_that_never_converges_with_what_it_last_served(self) -> None: + reads: Final = { + "gateway-1": _answers(repeat("renamed")), + "gateway-2": _answers(repeat("stale")), + } + assert _await_everywhere(reads) == NeverConvergedOn(replica="gateway-2", last="stale") + + def test_polls_until_the_deadline_before_giving_up(self) -> None: + lagging: Final = chain(repeat("stale", int(TIMEOUT / INTERVAL)), repeat("renamed")) + outcome: Final = _await_everywhere({"gateway-1": _answers(lagging)}) + assert isinstance(outcome, EverywhereConverged), outcome + + +class TestReplicasFor: + def test_split_deployment_reads_management_routes_back_from_the_control_plane(self) -> None: + client: Final = build_proxy_client( + base_url="http://lb", + control_plane_base_url="http://backend", + replica_urls=("http://gateway-1", "http://gateway-2"), + ) + assert set(client.replicas_for("/key/info")) == {"http://backend"} + assert set(client.replicas_for("/v1/models")) == {"http://gateway-1", "http://gateway-2"} + + def test_monolith_reads_management_routes_back_from_every_replica(self) -> None: + client: Final = build_proxy_client( + base_url="http://lb", + control_plane_base_url="http://lb", + replica_urls=("http://pod-1", "http://pod-2"), + ) + assert set(client.replicas_for("/key/info")) == {"http://pod-1", "http://pod-2"} + + def test_mcp_admin_routes_read_back_from_every_data_plane_replica(self) -> None: + """/v1/mcp/* is a lazily mounted feature, so a data-plane replica serves it + too and answers from its own in-memory registry. Routing it to the control + plane would leave every replica but that one unproven, and would move the + tools/list barrier in mcp_client off the plane that serves tools/list.""" + client: Final = build_proxy_client( + base_url="http://lb", + control_plane_base_url="http://backend", + replica_urls=("http://gateway-1", "http://gateway-2"), + ) + assert set(client.replicas_for("/v1/mcp/server/abc")) == {"http://gateway-1", "http://gateway-2"} + assert set(client.replicas_for("/v1/mcp/toolset/abc")) == {"http://gateway-1", "http://gateway-2"} + + def test_a_route_no_replica_serves_is_refused_rather_than_read_back_vacuously(self) -> None: + """A read-back over zero replicas would satisfy every predicate and assert + nothing, so asking for one fails instead of passing silently.""" + client: Final = ProxyClient(transport=_NO_TRANSPORTS, replicas={}, control_replicas={}) + with pytest.raises(AssertionError, match="no replica is configured"): + _ = client.replicas_for("/v1/models") diff --git a/tests/e2e/ui/helpers/navigation.ts b/tests/e2e/ui/helpers/navigation.ts index 4a7c4e7baa9..e0e7b4da396 100644 --- a/tests/e2e/ui/helpers/navigation.ts +++ b/tests/e2e/ui/helpers/navigation.ts @@ -73,3 +73,13 @@ export async function clickTeamId(page: PlaywrightPage, teamId: string): Promise await cell.click(); await expect(page.getByText("Back to Teams")).toBeVisible({ timeout: 10_000 }); } + +export async function openKeyDetail(page: PlaywrightPage, alias: string): Promise { + await page.getByPlaceholder("Search by key alias or ID").fill(alias); + const row = page.getByRole("row").filter({ hasText: alias }); + await expect(row, `key row "${alias}" never appeared on the Virtual Keys page`).toBeVisible({ timeout: 15_000 }); + await row.getByRole("button", { name: alias }).click(); + await expect(page.getByText("Back to Keys"), `key detail for "${alias}" never opened`).toBeVisible({ + timeout: 15_000, + }); +} diff --git a/tests/e2e/ui/helpers/traffic.ts b/tests/e2e/ui/helpers/traffic.ts index 7f8417cdffb..cb68747b364 100644 --- a/tests/e2e/ui/helpers/traffic.ts +++ b/tests/e2e/ui/helpers/traffic.ts @@ -1,4 +1,4 @@ -import { APIRequestContext, expect } from "@playwright/test"; +import { APIRequestContext, APIResponse, expect } from "@playwright/test"; /** Model names served by fixtures/config.yml, both backed by the mock LLM server. */ export const CHAT_MODEL_A = "fake-openai-gpt-4"; @@ -15,6 +15,9 @@ export const masterKey = (): string => process.env.LITELLM_MASTER_KEY || "sk-123 export const rootPath = (): string => process.env.SERVER_ROOT_PATH ?? ""; +/** Date.now() alone collides: `--repeat-each` starts its copies inside the same millisecond. */ +export const uniqueSuffix = (): string => `${Date.now()}-${Math.random().toString(36).slice(2, 8)}`; + interface ChatOptions { model: string; prompt: string; @@ -25,9 +28,8 @@ interface ChatOptions { traceId?: string; } -/** POST /v1/chat/completions and return the completion id (the Logs Request ID). */ -export async function sendChatCompletion(request: APIRequestContext, opts: ChatOptions): Promise { - const res = await request.post(`${rootPath()}/v1/chat/completions`, { +const postChatCompletion = (request: APIRequestContext, opts: ChatOptions): Promise => + request.post(`${rootPath()}/v1/chat/completions`, { headers: { Authorization: `Bearer ${opts.apiKey ?? masterKey()}`, "Content-Type": "application/json", @@ -39,12 +41,26 @@ export async function sendChatCompletion(request: APIRequestContext, opts: ChatO ...(opts.traceId ? { litellm_trace_id: opts.traceId } : {}), }, }); + +/** POST /v1/chat/completions and return the completion id (the Logs Request ID). */ +export async function sendChatCompletion(request: APIRequestContext, opts: ChatOptions): Promise { + const res = await postChatCompletion(request, opts); expect(res.ok(), `chat completion for ${opts.model} failed (${res.status()}): ${await res.text()}`).toBe(true); const body = await res.json(); expect(body.choices?.[0]?.message?.content).toContain(MOCK_RESPONSE_TEXT); return body.id as string; } +export interface ChatAttempt { + status: number; + body: string; +} + +export async function attemptChatCompletion(request: APIRequestContext, opts: ChatOptions): Promise { + const res = await postChatCompletion(request, opts); + return { status: res.status(), body: await res.text() }; +} + /** `key` is the sk- value to authenticate with; `token` is its hash, which spend aggregates are keyed by. */ export async function createVirtualKey( request: APIRequestContext, @@ -66,6 +82,33 @@ export async function createVirtualKey( }; } +export interface KeyInfo { + key_alias: string | null; + max_budget: number | null; + budget_duration: string | null; + budget_reset_at: string | null; + blocked: boolean | null; + models: string[]; + team_id: string | null; +} + +export async function readKeyInfo(request: APIRequestContext, token: string): Promise { + const res = await request.get(`${rootPath()}/key/info?key=${encodeURIComponent(token)}`, { + headers: { Authorization: `Bearer ${masterKey()}` }, + }); + expect(res.ok(), `GET /key/info for ${token} failed (${res.status()}): ${await res.text()}`).toBe(true); + const body = await res.json(); + return body.info as KeyInfo; +} + +export async function deleteVirtualKey(request: APIRequestContext, token: string): Promise { + const res = await request.post(`${rootPath()}/key/delete`, { + headers: { Authorization: `Bearer ${masterKey()}`, "Content-Type": "application/json" }, + data: { keys: [token] }, + }); + expect(res.ok(), `key delete for ${token} failed (${res.status()}): ${await res.text()}`).toBe(true); +} + /** Spend logs are flushed on a timer, so an assertion straight after a completion races the writer. */ export async function waitForSpendLog( request: APIRequestContext, diff --git a/tests/e2e/ui/tests/internal-user/internalUserKeyScope.spec.ts b/tests/e2e/ui/tests/internal-user/internalUserKeyScope.spec.ts new file mode 100644 index 00000000000..f923841257a --- /dev/null +++ b/tests/e2e/ui/tests/internal-user/internalUserKeyScope.spec.ts @@ -0,0 +1,208 @@ +import { test, expect, type APIRequestContext } from "@playwright/test"; +import { Page } from "../../fixtures/pages"; +import { + dismissFeedbackPopup, + navigateToPage, + openKeyDetail, +} from "../../helpers/navigation"; +import { + CHAT_MODEL_A, + CHAT_MODEL_B, + MOCK_RESPONSE_TEXT, + attemptChatCompletion, + createVirtualKey, + deleteVirtualKey, + masterKey, + readKeyInfo, + rootPath, + uniqueSuffix, +} from "../../helpers/traffic"; + +const MEMBER_PASSWORD = "E2e-Team-Member-Pass-1!"; + +interface CreatedTeam { + readonly team_id: string; +} + +function assertCreatedTeam(body: unknown): asserts body is CreatedTeam { + expect(body, "/team/new returned no team_id").toMatchObject({ + team_id: expect.any(String), + }); +} + +async function postAsMaster( + request: APIRequestContext, + path: string, + data: Record, +): Promise { + const res = await request.post(`${rootPath()}${path}`, { + headers: { + Authorization: `Bearer ${masterKey()}`, + "Content-Type": "application/json", + }, + data, + }); + expect( + res.ok(), + `POST ${path} failed (${res.status()}): ${await res.text()}`, + ).toBe(true); + return res.json(); +} + +test.describe("Internal User - own team key model scope", () => { + test.use({ storageState: { cookies: [], origins: [] } }); + + test("a team member narrows their own key's models and the proxy enforces it", async ({ + page, + request, + }) => { + const suffix = uniqueSuffix(); + const email = `team-member-${suffix}@test.local`; + const userId = `e2e-key-scope-user-${suffix}`; + const alias = `e2e-key-scope-${suffix}`; + + const team = await postAsMaster(request, "/team/new", { + team_alias: `E2E Key Scope ${suffix}`, + models: [CHAT_MODEL_A, CHAT_MODEL_B], + team_member_permissions: ["/key/generate", "/key/update", "/key/info"], + }); + assertCreatedTeam(team); + const teamId = team.team_id; + + try { + await postAsMaster(request, "/user/new", { + user_id: userId, + user_email: email, + user_role: "internal_user", + auto_create_key: false, + }); + await postAsMaster(request, "/user/update", { + user_id: userId, + password: MEMBER_PASSWORD, + }); + await postAsMaster(request, "/team/member_add", { + team_id: teamId, + member: { role: "user", user_id: userId }, + }); + + const created = await createVirtualKey(request, { + key_alias: alias, + team_id: teamId, + user_id: userId, + models: [], + }); + + try { + await page.goto("/ui/login"); + await page.getByPlaceholder("Enter your username").fill(email); + await page + .getByPlaceholder("Enter your password") + .fill(MEMBER_PASSWORD); + await page.getByRole("button", { name: "Login", exact: true }).click(); + await expect( + page.locator("a", { hasText: "Virtual Keys" }), + `${email} never reached the dashboard`, + ).toBeVisible({ timeout: 30_000 }); + await dismissFeedbackPopup(page); + + await navigateToPage(page, Page.ApiKeys); + await openKeyDetail(page, alias); + + await page.getByRole("tab", { name: "Settings" }).click(); + await page.getByRole("button", { name: "Edit Settings" }).click(); + + await page.getByRole("combobox", { name: "Select models" }).click(); + await expect( + page.getByRole("option", { name: CHAT_MODEL_A, exact: true }), + `the Models dropdown does not offer ${CHAT_MODEL_A} to a team member`, + ).toBeVisible({ timeout: 15_000 }); + await expect( + page.getByRole("option", { name: CHAT_MODEL_B, exact: true }), + `the Models dropdown does not offer ${CHAT_MODEL_B} to a team member`, + ).toBeVisible(); + + await page + .getByRole("option", { name: CHAT_MODEL_A, exact: true }) + .click(); + await page.keyboard.press("Escape"); + + const updated = page.waitForResponse( + (res) => + res.url().includes("/key/update") && + res.request().method() === "POST", + ); + await page.getByRole("button", { name: "Save Changes" }).click(); + const updateStatus = (await updated).status(); + expect( + updateStatus, + "a team member's own-key edit was refused", + ).toBeGreaterThanOrEqual(200); + expect( + updateStatus, + "a team member's own-key edit was refused", + ).toBeLessThan(300); + await expect( + page.getByText("Key updated successfully").first(), + ).toBeVisible({ timeout: 15_000 }); + + await expect + .poll( + async () => (await readKeyInfo(request, created.token)).models, + { + message: `the narrowed model scope never reached /key/info for ${alias}`, + timeout: 20_000, + }, + ) + .toEqual([CHAT_MODEL_A]); + + await expect + .poll( + async () => + await attemptChatCompletion(request, { + model: CHAT_MODEL_B, + prompt: `out of scope ${suffix}`, + apiKey: created.key, + }), + { + message: `${CHAT_MODEL_B} was still served after the key was narrowed to ${CHAT_MODEL_A}`, + timeout: 30_000, + }, + ) + .toMatchObject({ + status: 403, + body: expect.stringContaining(CHAT_MODEL_B), + }); + + const inScope = await attemptChatCompletion(request, { + model: CHAT_MODEL_A, + prompt: `in scope ${suffix}`, + apiKey: created.key, + }); + expect( + inScope, + `${CHAT_MODEL_A} is no longer served by the narrowed key`, + ).toMatchObject({ + status: 200, + body: expect.stringContaining(MOCK_RESPONSE_TEXT), + }); + } finally { + await deleteVirtualKey(request, created.token); + } + } finally { + await request.post(`${rootPath()}/user/delete`, { + headers: { + Authorization: `Bearer ${masterKey()}`, + "Content-Type": "application/json", + }, + data: { user_ids: [userId] }, + }); + await request.post(`${rootPath()}/team/delete`, { + headers: { + Authorization: `Bearer ${masterKey()}`, + "Content-Type": "application/json", + }, + data: { team_ids: [teamId] }, + }); + } + }); +}); diff --git a/tests/e2e/ui/tests/internal-user/modelsByTeam.spec.ts b/tests/e2e/ui/tests/internal-user/modelsByTeam.spec.ts new file mode 100644 index 00000000000..5e2c80b5845 --- /dev/null +++ b/tests/e2e/ui/tests/internal-user/modelsByTeam.spec.ts @@ -0,0 +1,196 @@ +import { + test as base, + expect, + type Locator, + type Page as PlaywrightPage, +} from "@playwright/test"; +import { + E2E_TEAM_CRUD_ALIAS, + E2E_TEAM_ORG_ALIAS, + INTERNAL_USER_STORAGE_PATH, +} from "../../constants"; +import { Page } from "../../fixtures/pages"; +import { navigateToPage } from "../../helpers/navigation"; +import { readBack } from "../../helpers/roundTrip"; +import { CHAT_MODEL_A, CHAT_MODEL_B, masterKey } from "../../helpers/traffic"; + +const MOCK_LLM_BASE = `http://127.0.0.1:${process.env.MOCK_LLM_PORT ?? "8090"}/v1`; +const CURRENT_TEAM_VIEW = "Current Team Models"; +const ALL_MODELS_VIEW = "All Available Models"; +const PERSONAL_TEAM = "Personal"; + +const teamSelector = (page: PlaywrightPage): Locator => + page.getByRole("combobox", { name: "Current team", exact: true }); +const viewSelector = (page: PlaywrightPage): Locator => + page.getByRole("combobox", { name: "View", exact: true }); + +async function chooseOption( + page: PlaywrightPage, + selector: Locator, + optionName: string, +): Promise { + await selector.click(); + const option = page.getByRole("option", { name: optionName, exact: true }); + await expect(option, `option ${optionName} is offered`).toBeVisible({ + timeout: 10_000, + }); + await option.click(); + await expect( + selector, + `${optionName} is the selection the control now reports`, + ).toContainText(optionName, { + timeout: 10_000, + }); +} + +async function deleteDeployment( + page: PlaywrightPage, + id: string, +): Promise { + const post = () => + page.request.post("/model/delete", { + headers: { Authorization: `Bearer ${masterKey()}` }, + data: { id }, + }); + const deleted = await post().catch(() => post()); + expect( + deleted.ok(), + `cleanup: /model/delete ${id} returned ${deleted.status()}`, + ).toBe(true); +} + +function modelRow(page: PlaywrightPage, modelName: string): Locator { + return page.getByRole("row").filter({ hasText: modelName }); +} + +async function isRegistered( + page: PlaywrightPage, + modelName: string, +): Promise { + const body = await readBack<{ data: { model_name?: string }[] }>( + page, + "/v2/model/info", + ); + return body.data.some((row) => row.model_name === modelName); +} + +const uniqueSuffix = (): string => + `${Date.now()}-${Math.random().toString(36).slice(2, 8)}`; + +const test = base.extend<{ ungrantedModelName: string }>({ + ungrantedModelName: async ({ page }, use) => { + const ungrantedModelName = `e2e-ungranted-${uniqueSuffix()}`; + const created = await page.request.post("/model/new", { + headers: { Authorization: `Bearer ${masterKey()}` }, + data: { + model_name: ungrantedModelName, + litellm_params: { + model: `openai/${ungrantedModelName}`, + api_base: MOCK_LLM_BASE, + api_key: "fake-key", + }, + model_info: {}, + }, + }); + expect( + created.ok(), + `/model/new failed: ${created.status()} ${await created.text()}`, + ).toBe(true); + const ungrantedModelId = (await created.json()).model_info?.id; + expect(ungrantedModelId, "model id from /model/new").toBeTruthy(); + + try { + await expect + .poll(async () => await isRegistered(page, ungrantedModelName), { + message: `deployment ${ungrantedModelName} never appeared in /v2/model/info after create`, + timeout: 60_000, + }) + .toBe(true); + await use(ungrantedModelName); + } finally { + await deleteDeployment(page, ungrantedModelId); + } + }, +}); + +test.describe("Models and Endpoints for an internal user", () => { + test.use({ storageState: INTERNAL_USER_STORAGE_PATH }); + + test("shows an internal user exactly the models of the team they select", async ({ + page, + ungrantedModelName, + }) => { + await navigateToPage(page, Page.Models); + + await expect( + page.getByRole("tab", { name: "Your Models" }), + "an internal user lands on their own models tab, not an admin-only view", + ).toBeVisible({ timeout: 15_000 }); + await expect( + viewSelector(page), + "the models table opens scoped to the selected team", + ).toContainText(CURRENT_TEAM_VIEW, { timeout: 15_000 }); + await expect( + modelRow(page, ungrantedModelName), + `the personal view lists ${ungrantedModelName}, so it is on the proxy and reachable from this page`, + ).toHaveCount(1, { timeout: 30_000 }); + + await chooseOption(page, teamSelector(page), E2E_TEAM_CRUD_ALIAS); + await expect( + modelRow(page, CHAT_MODEL_A), + `${E2E_TEAM_CRUD_ALIAS} lists ${CHAT_MODEL_A}`, + ).toHaveCount(1, { + timeout: 15_000, + }); + await expect( + modelRow(page, CHAT_MODEL_B), + `${E2E_TEAM_CRUD_ALIAS} lists ${CHAT_MODEL_B}`, + ).toHaveCount(1, { + timeout: 15_000, + }); + await expect( + modelRow(page, ungrantedModelName), + `${ungrantedModelName} is on the proxy but not granted to ${E2E_TEAM_CRUD_ALIAS}, so it must not be listed`, + ).toHaveCount(0); + + await chooseOption(page, teamSelector(page), E2E_TEAM_ORG_ALIAS); + await expect( + modelRow(page, CHAT_MODEL_A), + `${E2E_TEAM_ORG_ALIAS} lists ${CHAT_MODEL_A}`, + ).toHaveCount(1, { + timeout: 15_000, + }); + await expect( + page.getByTestId("pagination-range"), + `${E2E_TEAM_ORG_ALIAS} lists the one model it grants and nothing else`, + ).toHaveText("Showing 1-1 of 1", { timeout: 15_000 }); + await expect( + modelRow(page, CHAT_MODEL_B), + `${CHAT_MODEL_B} belongs to another team and must not leak into ${E2E_TEAM_ORG_ALIAS}`, + ).toHaveCount(0); + await expect( + modelRow(page, ungrantedModelName), + `${ungrantedModelName} is granted to no team and must not leak into ${E2E_TEAM_ORG_ALIAS}`, + ).toHaveCount(0); + + await chooseOption(page, viewSelector(page), ALL_MODELS_VIEW); + await expect( + modelRow(page, CHAT_MODEL_A), + `switching to ${ALL_MODELS_VIEW} leaves the table populated rather than blanking it`, + ).toHaveCount(1, { timeout: 15_000 }); + + await page.reload(); + await expect( + teamSelector(page), + "the team selection is not persisted across a reload, so the table returns to the personal view", + ).toContainText(PERSONAL_TEAM, { timeout: 15_000 }); + await expect( + viewSelector(page), + "the view selection is not persisted across a reload either", + ).toContainText(CURRENT_TEAM_VIEW, { timeout: 15_000 }); + await expect( + modelRow(page, ungrantedModelName), + "the personal view still renders models after a reload rather than coming back empty", + ).toHaveCount(1, { timeout: 30_000 }); + }); +}); diff --git a/tests/e2e/ui/tests/modelsPage/editLitellmParams.spec.ts b/tests/e2e/ui/tests/modelsPage/editLitellmParams.spec.ts new file mode 100644 index 00000000000..4480515ae59 --- /dev/null +++ b/tests/e2e/ui/tests/modelsPage/editLitellmParams.spec.ts @@ -0,0 +1,252 @@ +import { + test as base, + expect, + type Page as PlaywrightPage, +} from "@playwright/test"; +import { ADMIN_STORAGE_PATH } from "../../constants"; +import { Page } from "../../fixtures/pages"; +import { navigateToPage } from "../../helpers/navigation"; +import { captureRequestBody, readBack } from "../../helpers/roundTrip"; +import { masterKey, sendChatCompletion } from "../../helpers/traffic"; + +const MOCK_LLM_BASE = `http://127.0.0.1:${process.env.MOCK_LLM_PORT ?? "8090"}/v1`; +const CUSTOM_PARAM = "extra_headers"; +const CUSTOM_PARAM_VALUE = { "X-E2E-Edit-Probe": "one" }; + +type StoredParams = Record; + +async function readStoredParams( + page: PlaywrightPage, + modelId: string, +): Promise { + const body = await readBack<{ data: { litellm_params: StoredParams }[] }>( + page, + `/model/info?litellm_model_id=${modelId}`, + ); + return body.data[0]?.litellm_params ?? {}; +} + +function paramsEditor(page: PlaywrightPage) { + return page.getByPlaceholder('"rpm": 100'); +} + +async function editParams( + page: PlaywrightPage, + mutate: (params: StoredParams) => StoredParams, +): Promise { + await page.getByRole("button", { name: "Edit Settings" }).click(); + const editor = paramsEditor(page); + await expect( + editor, + "the LiteLLM Params editor is reachable on every visit to the edit form", + ).toBeVisible({ + timeout: 15_000, + }); + const shown = JSON.parse(await editor.inputValue()) as StoredParams; + await editor.fill(JSON.stringify(mutate(shown), null, 2)); +} + +async function deleteDeployment( + page: PlaywrightPage, + id: string, +): Promise { + const post = () => + page.request.post("/model/delete", { + headers: { Authorization: `Bearer ${masterKey()}` }, + data: { id }, + }); + const deleted = await post().catch(() => post()); + expect( + deleted.ok(), + `cleanup: /model/delete ${id} returned ${deleted.status()}`, + ).toBe(true); +} + +const uniqueSuffix = (): string => + `${Date.now()}-${Math.random().toString(36).slice(2, 8)}`; + +const test = base.extend<{ + deployment: { readonly modelName: string; readonly createdModelId: string }; +}>({ + deployment: async ({ page, request }, use) => { + const modelName = `e2e-edit-params-${uniqueSuffix()}`; + const created = await page.request.post("/model/new", { + headers: { Authorization: `Bearer ${masterKey()}` }, + data: { + model_name: modelName, + litellm_params: { + model: `openai/${modelName}`, + api_base: MOCK_LLM_BASE, + api_key: "fake-key", + }, + model_info: {}, + }, + }); + expect( + created.ok(), + `/model/new failed: ${created.status()} ${await created.text()}`, + ).toBe(true); + const createdModelId = (await created.json()).model_info?.id; + expect(createdModelId, "model id from /model/new").toBeTruthy(); + + try { + await expect + .poll( + async () => { + try { + await sendChatCompletion(request, { + model: modelName, + prompt: `warmup ${modelName}`, + }); + return true; + } catch { + return false; + } + }, + { + message: `deployment ${modelName} never became routable after /model/new`, + timeout: 60_000, + }, + ) + .toBe(true); + await use({ modelName, createdModelId }); + } finally { + await deleteDeployment(page, createdModelId); + } + }, +}); + +test.describe("Edit LiteLLM Params on a deployment", () => { + test.use({ storageState: ADMIN_STORAGE_PATH }); + + test("params added on a deployment can be re-edited, and the deployment keeps serving", async ({ + page, + request, + deployment: { modelName, createdModelId }, + }) => { + await navigateToPage(page, Page.Models); + const modelIdCell = page.getByTestId(`model-id-${createdModelId}`); + await expect( + modelIdCell, + `the Models table lists ${modelName}`, + ).toBeVisible({ timeout: 15_000 }); + await modelIdCell.click(); + await expect(page.getByText("Back to Models").first()).toBeVisible({ + timeout: 15_000, + }); + + await editParams(page, (params) => ({ + ...params, + temperature: 0.2, + [CUSTOM_PARAM]: CUSTOM_PARAM_VALUE, + })); + const firstSave = await captureRequestBody( + page, + { method: "PATCH", urlIncludes: `/model/${createdModelId}/update` }, + async () => { + await page.getByRole("button", { name: "Save Changes" }).click(); + }, + ); + expect( + firstSave.litellm_params?.temperature, + "the added temperature goes on the wire", + ).toBe(0.2); + expect( + firstSave.litellm_params?.[CUSTOM_PARAM], + `the added ${CUSTOM_PARAM} goes on the wire`, + ).toEqual(CUSTOM_PARAM_VALUE); + expect( + firstSave.litellm_params?.model, + "a params edit does not rewrite the upstream model", + ).toBe(`openai/${modelName}`); + expect( + firstSave.litellm_params?.api_base, + "a params edit does not rewrite the api base", + ).toBe(MOCK_LLM_BASE); + expect( + firstSave.litellm_params, + "the credential is never re-sent, so a masked placeholder cannot overwrite the stored key", + ).not.toHaveProperty("api_key"); + + await expect + .poll( + async () => (await readStoredParams(page, createdModelId)).temperature, + { + message: "the added temperature never reached the stored deployment", + timeout: 20_000, + }, + ) + .toBe(0.2); + const afterFirstSave = await readStoredParams(page, createdModelId); + expect( + afterFirstSave[CUSTOM_PARAM], + `the added ${CUSTOM_PARAM} reached the stored deployment`, + ).toEqual(CUSTOM_PARAM_VALUE); + expect( + afterFirstSave.model, + "the stored upstream model survived the edit", + ).toBe(`openai/${modelName}`); + expect( + afterFirstSave.api_base, + "the stored api base survived the edit", + ).toBe(MOCK_LLM_BASE); + + await editParams(page, (params) => ({ + ...Object.fromEntries( + Object.entries(params).filter(([key]) => key !== CUSTOM_PARAM), + ), + temperature: 0.7, + })); + const secondSave = await captureRequestBody( + page, + { method: "PATCH", urlIncludes: `/model/${createdModelId}/update` }, + async () => { + await page.getByRole("button", { name: "Save Changes" }).click(); + }, + ); + expect( + secondSave.litellm_params?.temperature, + "a param set by an earlier save can be edited again", + ).toBe(0.7); + expect( + secondSave.litellm_params, + `dropping ${CUSTOM_PARAM} from the editor drops it from the request the UI sends`, + ).not.toHaveProperty(CUSTOM_PARAM); + expect( + secondSave.litellm_params?.model, + "a second params edit still leaves the upstream model alone", + ).toBe(`openai/${modelName}`); + expect( + secondSave.litellm_params?.api_base, + "a second params edit still leaves the api base alone", + ).toBe(MOCK_LLM_BASE); + expect( + secondSave.litellm_params, + "the credential is still never re-sent", + ).not.toHaveProperty("api_key"); + + await expect + .poll( + async () => (await readStoredParams(page, createdModelId)).temperature, + { + message: + "the re-edited temperature never reached the stored deployment", + timeout: 20_000, + }, + ) + .toBe(0.7); + + await page.reload(); + await expect( + page + .getByRole("tabpanel", { name: "Overview" }) + .getByText('"temperature": 0.7'), + "reopening the deployment renders the re-edited value, not the one from the first save", + ).toBeVisible({ timeout: 20_000 }); + + await sendChatCompletion(request, { + model: modelName, + prompt: `still serving ${modelName}`, + }); + }); +}); diff --git a/tests/e2e/ui/tests/modelsPage/modelHealthStatus.spec.ts b/tests/e2e/ui/tests/modelsPage/modelHealthStatus.spec.ts new file mode 100644 index 00000000000..247cce1b85d --- /dev/null +++ b/tests/e2e/ui/tests/modelsPage/modelHealthStatus.spec.ts @@ -0,0 +1,245 @@ +import { + test as base, + expect, + type Locator, + type Page as PlaywrightPage, +} from "@playwright/test"; +import { ADMIN_STORAGE_PATH } from "../../constants"; +import { Page } from "../../fixtures/pages"; +import { navigateToPage } from "../../helpers/navigation"; +import { readBack } from "../../helpers/roundTrip"; +import { masterKey } from "../../helpers/traffic"; + +const MOCK_LLM_BASE = `http://127.0.0.1:${process.env.MOCK_LLM_PORT ?? "8090"}/v1`; +const UNREACHABLE_BASE = "http://127.0.0.1:9/v1"; + +async function isRegistered( + page: PlaywrightPage, + modelName: string, +): Promise { + const body = await readBack<{ data: { model_name?: string }[] }>( + page, + "/v2/model/info", + ); + return body.data.some((row) => row.model_name === modelName); +} + +function healthRow(page: PlaywrightPage, modelName: string): Locator { + return page.getByRole("row").filter({ hasText: modelName }); +} + +function pageOf(label: string): { current: number; total: number } { + const [current, total] = label + .replace("Page ", "") + .split(" of ") + .map((part) => Number(part.trim())); + return { current, total }; +} + +async function locateHealthRow( + page: PlaywrightPage, + modelName: string, +): Promise { + const pageLabel = page.getByTestId("pagination-page"); + await expect( + pageLabel, + "the health table reports which page it is showing", + ).toBeVisible({ timeout: 20_000 }); + + const deadline = Date.now() + 60_000; + while (Date.now() < deadline) { + const row = healthRow(page, modelName); + const onThisPage = await row + .first() + .waitFor({ state: "visible", timeout: 3_000 }) + .then(() => true) + .catch(() => false); + if (onThisPage) return row; + + const { current, total } = pageOf(await pageLabel.innerText()); + const goTo = current < total ? current + 1 : 1; + if (total === 1) continue; + await page + .getByRole("button", { + name: current < total ? "Go to next page" : "Go to first page", + }) + .click(); + await expect(pageLabel).toContainText(`Page ${goTo} of`, { + timeout: 15_000, + }); + } + return healthRow(page, modelName); +} + +async function openHealthTab(page: PlaywrightPage): Promise { + await page.getByRole("tab", { name: "Health Status" }).click(); + await expect( + page.getByRole("heading", { name: "Model Health Status" }), + ).toBeVisible({ timeout: 15_000 }); +} + +async function expectStatus( + page: PlaywrightPage, + modelName: string, + status: string, +): Promise { + const row = await locateHealthRow(page, modelName); + await expect(row, `${modelName} has one row in the health table`).toHaveCount( + 1, + { timeout: 20_000 }, + ); + await expect( + row.getByText(status, { exact: true }), + `the Health Status cell for ${modelName} reads ${status}`, + ).toHaveCount(1, { timeout: 60_000 }); +} + +async function deleteDeployment( + page: PlaywrightPage, + id: string, +): Promise { + const post = () => + page.request.post("/model/delete", { + headers: { Authorization: `Bearer ${masterKey()}` }, + data: { id }, + }); + const deleted = await post().catch(() => post()); + expect( + deleted.ok(), + `cleanup: /model/delete ${id} returned ${deleted.status()}`, + ).toBe(true); +} + +const uniqueSuffix = (): string => + `${Date.now()}-${Math.random().toString(36).slice(2, 8)}`; + +async function withDeployment( + page: PlaywrightPage, + prefix: string, + apiBase: string, + use: (name: string) => Promise, +): Promise { + const name = `${prefix}-${uniqueSuffix()}`; + const created = await page.request.post("/model/new", { + headers: { Authorization: `Bearer ${masterKey()}` }, + data: { + model_name: name, + litellm_params: { + model: `openai/${name}`, + api_base: apiBase, + api_key: "fake-key", + }, + model_info: {}, + }, + }); + expect( + created.ok(), + `/model/new for ${name} failed: ${created.status()} ${await created.text()}`, + ).toBe(true); + const id = (await created.json()).model_info?.id; + expect(id, `model id from /model/new for ${name}`).toBeTruthy(); + try { + await expect + .poll(() => isRegistered(page, name), { + message: `deployment ${name} never appeared in /v2/model/info after create`, + timeout: 60_000, + }) + .toBe(true); + await use(name); + } finally { + await deleteDeployment(page, id); + } +} + +const test = base.extend<{ reachableName: string; unreachableName: string }>({ + reachableName: async ({ page }, use) => { + await withDeployment(page, "e2e-health-up", MOCK_LLM_BASE, use); + }, + unreachableName: async ({ page }, use) => { + await withDeployment(page, "e2e-health-down", UNREACHABLE_BASE, use); + }, +}); + +test.describe("Model health status", () => { + test.use({ storageState: ADMIN_STORAGE_PATH }); + + test("Run Health Check reports a reachable deployment healthy and an unreachable one unhealthy", async ({ + page, + reachableName, + unreachableName, + }) => { + await navigateToPage(page, Page.Models); + await openHealthTab(page); + + for (const name of [reachableName, unreachableName]) { + const row = await locateHealthRow(page, name); + await expect(row, `${name} has one row in the health table`).toHaveCount( + 1, + { timeout: 20_000 }, + ); + await row + .getByRole("button", { name: "Run Health Check", exact: true }) + .click(); + } + + await expectStatus(page, reachableName, "healthy"); + await expect( + healthRow(page, reachableName).getByText("unhealthy", { exact: true }), + "a reachable deployment is never reported unhealthy", + ).toHaveCount(0); + await expectStatus(page, unreachableName, "unhealthy"); + + const successDetail = ( + await locateHealthRow(page, reachableName) + ).getByRole("button", { + name: "View response details", + }); + await expect( + successDetail, + `${reachableName} offers its health check response for inspection`, + ).toBeVisible({ timeout: 60_000 }); + await successDetail.click(); + const successDialog = page.getByRole("dialog"); + await expect( + successDialog.getByRole("heading", { + name: `Health Check Response - ${reachableName}`, + }), + "the healthy deployment's detail opens its own response dialog", + ).toBeVisible({ timeout: 10_000 }); + await successDialog.getByRole("button", { name: "Close" }).last().click(); + await expect(successDialog).toBeHidden({ timeout: 10_000 }); + + const errorDetail = ( + await locateHealthRow(page, unreachableName) + ).getByRole("button", { + name: "View full error details", + }); + await expect( + errorDetail, + `${unreachableName} offers its health check error for inspection`, + ).toBeVisible({ timeout: 60_000 }); + await errorDetail.click(); + const errorDialog = page.getByRole("dialog"); + await expect( + errorDialog.getByRole("heading", { + name: `Health Check Error - ${unreachableName}`, + }), + "the unreachable deployment's detail opens its own error dialog", + ).toBeVisible({ timeout: 10_000 }); + await expect( + errorDialog, + "the error dialog carries the upstream connection failure, not a generic message", + ).toContainText(/connection error/i, { timeout: 10_000 }); + await expect( + errorDialog, + "the error dialog names the endpoint that could not be reached", + ).toContainText(UNREACHABLE_BASE); + await errorDialog.getByRole("button", { name: "Close" }).last().click(); + await expect(errorDialog).toBeHidden({ timeout: 10_000 }); + + await page.reload(); + await openHealthTab(page); + await expectStatus(page, reachableName, "healthy"); + await expectStatus(page, unreachableName, "unhealthy"); + }); +}); diff --git a/tests/e2e/ui/tests/proxy-admin/keyBlocking.spec.ts b/tests/e2e/ui/tests/proxy-admin/keyBlocking.spec.ts new file mode 100644 index 00000000000..99a8065a797 --- /dev/null +++ b/tests/e2e/ui/tests/proxy-admin/keyBlocking.spec.ts @@ -0,0 +1,112 @@ +import { test as base, expect } from "@playwright/test"; +import { ADMIN_STORAGE_PATH } from "../../constants"; +import { Page } from "../../fixtures/pages"; +import { dismissFeedbackPopup, navigateToPage, openKeyDetail } from "../../helpers/navigation"; +import { + CHAT_MODEL_A, + MOCK_RESPONSE_TEXT, + attemptChatCompletion, + createVirtualKey, + deleteVirtualKey, + readKeyInfo, + sendChatCompletion, + uniqueSuffix, +} from "../../helpers/traffic"; + +interface ScopedKey { + alias: string; + token: string; + apiKey: string; +} + +const test = base.extend<{ scopedKey: ScopedKey }>({ + scopedKey: async ({ page }, use) => { + const alias = `e2e-block-key-${uniqueSuffix()}`; + const created = await createVirtualKey(page.request, { + key_alias: alias, + models: [CHAT_MODEL_A], + }); + await use({ alias, token: created.token, apiKey: created.key }); + await deleteVirtualKey(page.request, created.token); + }, +}); + +test.describe("Proxy Admin - Key blocking", () => { + test.use({ storageState: ADMIN_STORAGE_PATH }); + + test("blocking a key stops it serving and unblocking restores it", async ({ page, scopedKey }) => { + const { alias, token, apiKey } = scopedKey; + + await sendChatCompletion(page.request, { + model: CHAT_MODEL_A, + prompt: `pre-block ${alias}`, + apiKey, + }); + + await navigateToPage(page, Page.ApiKeys); + await dismissFeedbackPopup(page); + await openKeyDetail(page, alias); + + await page.getByRole("button", { name: "More key actions" }).click(); + await page.getByRole("menuitem", { name: "Block Key" }).click(); + const blockDialog = page.getByRole("dialog", { name: "Block Key" }); + await expect(blockDialog, "the Block Key confirmation never opened").toBeVisible({ timeout: 10_000 }); + await blockDialog.getByRole("button", { name: "Block", exact: true }).click(); + + await expect + .poll(async () => (await readKeyInfo(page.request, token)).blocked, { + message: "the key never came back blocked from /key/info", + timeout: 20_000, + }) + .toBe(true); + + await expect + .poll( + async () => + await attemptChatCompletion(page.request, { + model: CHAT_MODEL_A, + prompt: "blocked", + apiKey, + }), + { + message: "a blocked key was still served by /v1/chat/completions", + timeout: 30_000, + }, + ) + .toMatchObject({ status: 401, body: expect.stringContaining("blocked") }); + + await page.reload(); + await expect( + page.getByText("Blocked", { exact: true }), + "the reloaded key detail does not show the key as blocked", + ).toBeVisible({ timeout: 15_000 }); + + await page.getByRole("button", { name: "More key actions" }).click(); + await page.getByRole("menuitem", { name: "Unblock Key" }).click(); + const unblockDialog = page.getByRole("dialog", { name: "Unblock Key" }); + await expect(unblockDialog, "the Unblock Key confirmation never opened").toBeVisible({ timeout: 10_000 }); + await unblockDialog.getByRole("button", { name: "Unblock", exact: true }).click(); + + await expect + .poll(async () => (await readKeyInfo(page.request, token)).blocked, { + message: "the key never came back unblocked from /key/info", + timeout: 20_000, + }) + .toBe(false); + + await expect + .poll( + async () => + await attemptChatCompletion(page.request, { + model: CHAT_MODEL_A, + prompt: "unblocked", + apiKey, + }), + { + message: "an unblocked key is still refused by /v1/chat/completions", + timeout: 30_000, + }, + ) + .toMatchObject({ status: 200, body: expect.stringContaining(MOCK_RESPONSE_TEXT) }); + }); +}); diff --git a/tests/e2e/ui/tests/proxy-admin/keyBudgetWindow.spec.ts b/tests/e2e/ui/tests/proxy-admin/keyBudgetWindow.spec.ts new file mode 100644 index 00000000000..4e4d0a395c3 --- /dev/null +++ b/tests/e2e/ui/tests/proxy-admin/keyBudgetWindow.spec.ts @@ -0,0 +1,101 @@ +import { test as base, expect } from "@playwright/test"; +import { ADMIN_STORAGE_PATH, E2E_TEAM_CRUD_ID } from "../../constants"; +import { Page } from "../../fixtures/pages"; +import { dismissFeedbackPopup, navigateToPage, openKeyDetail } from "../../helpers/navigation"; +import { captureRequestBody } from "../../helpers/roundTrip"; +import { CHAT_MODEL_A, createVirtualKey, deleteVirtualKey, readKeyInfo, uniqueSuffix } from "../../helpers/traffic"; + +interface ScopedKey { + alias: string; + token: string; +} + +const test = base.extend<{ scopedKey: ScopedKey }>({ + scopedKey: async ({ page }, use) => { + const alias = `e2e-budget-window-${uniqueSuffix()}`; + const created = await createVirtualKey(page.request, { + key_alias: alias, + team_id: E2E_TEAM_CRUD_ID, + models: [CHAT_MODEL_A], + }); + await use({ alias, token: created.token }); + await deleteVirtualKey(page.request, created.token); + }, +}); + +test.describe("Proxy Admin - Key budget window", () => { + test.use({ storageState: ADMIN_STORAGE_PATH }); + + test("a monthly spend cap survives a reload, and clearing the window keeps the cap", async ({ page, scopedKey }) => { + const { alias, token } = scopedKey; + + const before = await readKeyInfo(page.request, token); + expect(before.max_budget, "a freshly generated key starts with no budget").toBeNull(); + + await navigateToPage(page, Page.ApiKeys); + await dismissFeedbackPopup(page); + await openKeyDetail(page, alias); + + await page.getByRole("tab", { name: "Settings" }).click(); + await page.getByRole("button", { name: "Edit Settings" }).click(); + + await page.getByRole("spinbutton", { name: "Max Budget (USD)" }).fill("12.5"); + await page.getByLabel("Reset Budget", { exact: true }).click(); + await page.getByRole("option", { name: "monthly", exact: true }).click(); + await page.getByRole("button", { name: "Save Changes" }).click(); + + await expect + .poll(async () => (await readKeyInfo(page.request, token)).max_budget, { + message: "the $12.50 cap never reached /key/info", + timeout: 20_000, + }) + .toBe(12.5); + await expect + .poll(async () => (await readKeyInfo(page.request, token)).budget_duration, { + message: "the monthly reset window never reached /key/info", + timeout: 20_000, + }) + .toBe("30d"); + + const capped = await readKeyInfo(page.request, token); + const resetAt = new Date(capped.budget_reset_at ?? ""); + expect(Number.isNaN(resetAt.getTime()), "a monthly window left the key with no budget_reset_at").toBe(false); + expect(resetAt.getTime(), "budget_reset_at was set in the past").toBeGreaterThan(Date.now()); + expect(resetAt.getUTCDate(), "a monthly window resets on the 1st, a daily one would not").toBe(1); + + await page.reload(); + await expect( + page.getByRole("paragraph").filter({ hasText: "of $12.50" }), + "the reloaded key detail does not render the $12.50 cap", + ).toBeVisible({ timeout: 15_000 }); + + await page.getByRole("tab", { name: "Settings" }).click(); + await expect( + page.getByTestId("budget-reset-value"), + "the reloaded key detail does not name the 30d reset window", + ).toHaveText(/Every 30d/, { timeout: 15_000 }); + + await page.getByRole("button", { name: "Edit Settings" }).click(); + await page.getByLabel("Reset Budget", { exact: true }).click(); + await page.getByRole("option", { name: "Never resets", exact: true }).click(); + + const cleared = await captureRequestBody(page, { method: "POST", urlIncludes: "/key/update" }, async () => { + await page.getByRole("button", { name: "Save Changes" }).click(); + }); + expect(cleared).toHaveProperty("budget_duration"); + expect(cleared.budget_duration, "clearing the window must send budget_duration: null explicitly").toBeNull(); + + await expect + .poll(async () => (await readKeyInfo(page.request, token)).budget_duration, { + message: "the reset window was never cleared on /key/info", + timeout: 20_000, + }) + .toBeNull(); + + const after = await readKeyInfo(page.request, token); + expect(after.budget_reset_at, "clearing the reset window left a stale next-reset timestamp").toBeNull(); + expect(after.max_budget, "clearing the reset window also wiped the spend cap").toBe(12.5); + expect(after.models, "editing the budget left the key's models untouched").toEqual(before.models); + expect(after.team_id, "editing the budget left the key's team untouched").toEqual(before.team_id); + }); +}); diff --git a/tests/mcp_tests/mcp_server.py b/tests/mcp_tests/mcp_server.py index bc6accbb721..eba7cae1bca 100644 --- a/tests/mcp_tests/mcp_server.py +++ b/tests/mcp_tests/mcp_server.py @@ -1,10 +1,12 @@ # math_server.py import argparse import os +from typing import Final -from mcp.server.fastmcp import FastMCP +from mcp.server.fastmcp import Context, FastMCP mcp = FastMCP("Math") +ADD_OFFSET: Final = int(os.getenv("MCP_ADD_OFFSET", "0")) def _parse_args() -> argparse.Namespace: @@ -31,7 +33,7 @@ def _parse_args() -> argparse.Namespace: @mcp.tool() def add(a: int, b: int) -> int: """Add two numbers""" - return a + b + return a + b + ADD_OFFSET @mcp.tool() @@ -40,6 +42,15 @@ def multiply(a: int, b: int) -> int: return a * b +@mcp.tool() +def request_headers(ctx: Context) -> dict[str, str]: + request: Final = ctx.request_context.request + return { + "authorization": request.headers.get("authorization", "") if request is not None else "", + "x-request-tag": request.headers.get("x-request-tag", "") if request is not None else "", + } + + def main() -> None: args = _parse_args() transport = (args.transport or "stdio").lower() diff --git a/tests/mcp_tests/test_configs/test_config_mcp_e2e.yaml b/tests/mcp_tests/test_configs/test_config_mcp_e2e.yaml index ad68a03781d..19fad3d1393 100644 --- a/tests/mcp_tests/test_configs/test_config_mcp_e2e.yaml +++ b/tests/mcp_tests/test_configs/test_config_mcp_e2e.yaml @@ -23,3 +23,6 @@ mcp_servers: transport: http url: http://127.0.0.1:0/mcp allow_all_keys: true + math_restricted: + transport: http + url: http://127.0.0.1:0/mcp diff --git a/tests/mcp_tests/test_proxy_mcp_e2e.py b/tests/mcp_tests/test_proxy_mcp_e2e.py index 2dd57e13d3b..f0fc3d892e2 100644 --- a/tests/mcp_tests/test_proxy_mcp_e2e.py +++ b/tests/mcp_tests/test_proxy_mcp_e2e.py @@ -1,26 +1,39 @@ import asyncio +import json import os +import queue import socket import subprocess import sys +import tempfile import threading import time import typing +from contextlib import asynccontextmanager, contextmanager +from dataclasses import dataclass +from datetime import datetime from pathlib import Path +import httpx import pytest import uvicorn import yaml from mcp import ClientSession from mcp.client.streamable_http import streamablehttp_client +from mcp.types import CallToolResult +from starlette.requests import Request +from litellm.integrations.custom_logger import CustomLogger +from litellm.proxy._experimental.mcp_server.tool_search import handle_mcp_proxy_tool +from litellm.proxy._types import LiteLLM_ObjectPermissionTable, ProxyException, UserAPIKeyAuth from litellm.proxy.proxy_server import ( app as proxy_app, +) +from litellm.proxy.proxy_server import ( cleanup_router_config_variables, initialize, ) - CONFIG_TEMPLATE_PATH = Path("tests/mcp_tests/test_configs/test_config_mcp_e2e.yaml") MCP_SERVER_SCRIPT = Path("tests/mcp_tests/mcp_server.py") PROJECT_ROOT = Path(__file__).resolve().parents[2] @@ -45,28 +58,49 @@ def _clear_proxy_database_env() -> typing.Iterator[None]: mp.undo() -def _initialize_proxy(config_path: str) -> None: +async def _initialize_proxy(config_path: str) -> None: + from litellm.proxy._experimental.mcp_server.mcp_server_manager import global_mcp_server_manager + cleanup_router_config_variables() - asyncio.run(initialize(config=config_path, debug=True)) + await initialize(config=config_path, debug=True) + for server_id, upstream in tuple(global_mcp_server_manager.registry.items()): + if upstream.server_name != "math_restricted": + continue + global_mcp_server_manager.registry[server_id] = upstream.model_copy( + update={"tool_name_to_display_name": {"add": "Add Numbers"}} + ) + + +@dataclass(frozen=True) +class ProxyRig: + url: str + config_path: str + loop: asyncio.AbstractEventLoop def _start_proxy_server( config_path: str, -) -> tuple[str, uvicorn.Server, threading.Thread, socket.socket]: - _initialize_proxy(config_path) - +) -> tuple[ProxyRig, uvicorn.Server, threading.Thread, socket.socket]: sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM) sock.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1) sock.bind(("127.0.0.1", 0)) host, port = sock.getsockname() - config = uvicorn.Config(proxy_app, host=host, port=port, log_level="warning") + config = uvicorn.Config(proxy_app, host=host, port=port, log_level="warning", lifespan="off") server = uvicorn.Server(config) + loop = asyncio.new_event_loop() + + async def _serve() -> None: + from litellm.proxy._experimental.mcp_server import server as mcp_server + + await _initialize_proxy(config_path) + async with proxy_app.router.lifespan_context(proxy_app), mcp_server.lifespan(proxy_app): + await server.serve(sockets=[sock]) + def _run() -> None: - loop = asyncio.new_event_loop() - asyncio.set_event_loop(loop) - loop.run_until_complete(server.serve(sockets=[sock])) + with asyncio.Runner(loop_factory=lambda: loop) as runner: + runner.run(_serve()) thread = threading.Thread(target=_run, daemon=True) thread.start() @@ -79,79 +113,93 @@ def _start_proxy_server( raise TimeoutError("Proxy server did not start in time") time.sleep(0.05) - return f"http://{host}:{port}", server, thread, sock + return ProxyRig(f"http://{host}:{port}", config_path, loop), server, thread, sock -@pytest.fixture(scope="session") -def math_streamable_http_server() -> str: +@contextmanager +def _math_http_server(offset: int) -> typing.Iterator[str]: host = "127.0.0.1" with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as sock: sock.bind((host, 0)) _, port = sock.getsockname() - cmd = [ - sys.executable, - str(MCP_SERVER_SCRIPT), - "--transport", - "http", - "--host", - host, - "--port", - str(port), - ] - - env = os.environ.copy() - server_process = subprocess.Popen( - cmd, - cwd=str(PROJECT_ROOT), - stdout=subprocess.PIPE, - stderr=subprocess.PIPE, - ) - - start_time = time.time() - while True: - if server_process.poll() is not None: - stdout, stderr = server_process.communicate() - raise RuntimeError( - f"Streamable HTTP MCP server exited early.\nSTDOUT: {stdout.decode()}\nSTDERR: {stderr.decode()}" - ) + with tempfile.TemporaryFile() as server_log: + process = subprocess.Popen( + [sys.executable, str(MCP_SERVER_SCRIPT), "--transport", "http", "--host", host, "--port", str(port)], + cwd=str(PROJECT_ROOT), + stdout=server_log, + stderr=subprocess.STDOUT, + env={**os.environ, "MCP_ADD_OFFSET": str(offset)}, + ) try: - with socket.create_connection((host, port), timeout=0.1): - break - except OSError: - if time.time() - start_time > PROXY_START_TIMEOUT: - server_process.terminate() - raise TimeoutError("Streamable HTTP MCP server did not start in time") - time.sleep(0.05) - - yield f"http://{host}:{port}" - - server_process.terminate() - try: - server_process.wait(timeout=5) - except subprocess.TimeoutExpired: - server_process.kill() + start_time = time.monotonic() + while True: + if process.poll() is not None: + server_log.seek(0) + raise RuntimeError(f"MCP upstream exited early: {server_log.read().decode()}") + try: + with socket.create_connection((host, port), timeout=0.1): + break + except OSError: + if time.monotonic() - start_time > PROXY_START_TIMEOUT: + raise TimeoutError("Streamable HTTP MCP server did not start in time") + time.sleep(0.05) + yield f"http://{host}:{port}" + finally: + process.terminate() + try: + process.wait(timeout=5) + except subprocess.TimeoutExpired: + process.kill() + process.wait(timeout=5) @pytest.fixture(scope="session") -def proxy_server_url( - tmp_path_factory: pytest.TempPathFactory, math_streamable_http_server: str +def math_streamable_http_server() -> typing.Iterator[str]: + with _math_http_server(100) as url: + yield url + + +@pytest.fixture(scope="session") +def math_restricted_server() -> typing.Iterator[str]: + with _math_http_server(200) as url: + yield url + + +@pytest.fixture(scope="session") +def _proxy_server( + tmp_path_factory: pytest.TempPathFactory, + math_streamable_http_server: str, + math_restricted_server: str, ): config_dir = tmp_path_factory.mktemp("mcp_e2e") config_path = config_dir / "config.yaml" config = yaml.safe_load(CONFIG_TEMPLATE_PATH.read_text()) - config["mcp_servers"]["math_streamable_http"][ - "url" - ] = f"{math_streamable_http_server}/mcp" + config["mcp_servers"]["math_stdio"]["command"] = sys.executable + config["mcp_servers"]["math_streamable_http"]["url"] = f"{math_streamable_http_server}/mcp" + config["mcp_servers"]["math_restricted"]["url"] = f"{math_restricted_server}/mcp" + config["general_settings"]["custom_auth"] = f"{__name__}.authorize_proxy_key" + config["litellm_settings"]["callbacks"] = [f"{__name__}.proxy_call_recorder"] + config["mcp_servers"]["math_restricted"]["mcp_info"] = {"mcp_server_cost_info": {"default_cost_per_query": 0.25}} config_path.write_text(yaml.safe_dump(config)) - server_url, server, thread, sock = _start_proxy_server(str(config_path)) + rig, server, thread, sock = _start_proxy_server(str(config_path)) - yield server_url + try: + yield rig + finally: + server.should_exit = True + thread.join(timeout=10) + sock.close() + assert not thread.is_alive(), "Proxy did not shut down" - server.should_exit = True - thread.join(timeout=10) - sock.close() + +@pytest.fixture +def proxy_server_url(_proxy_server: ProxyRig, setup_and_teardown: None) -> str: + asyncio.run_coroutine_threadsafe(_initialize_proxy(_proxy_server.config_path), _proxy_server.loop).result( + timeout=30 + ) + return _proxy_server.url class TestProxyMcpSimpleConnections: @@ -177,9 +225,7 @@ class TestProxyMcpSimpleConnections: assert text == "7" @pytest.mark.asyncio - async def test_proxy_mcp_streamable_http_roundtrip( - self, proxy_server_url: str - ) -> None: + async def test_proxy_mcp_streamable_http_roundtrip(self, proxy_server_url: str) -> None: async with asyncio.timeout(20): async with streamablehttp_client( url=f"{proxy_server_url}/mcp", @@ -197,12 +243,10 @@ class TestProxyMcpSimpleConnections: assert result.content first_content = result.content[0] text = getattr(first_content, "text", None) - assert text == "11" + assert text == "111" @pytest.mark.asyncio - async def test_proxy_mcp_lists_all_servers_without_header( - self, proxy_server_url: str - ) -> None: + async def test_proxy_mcp_lists_all_servers_without_header(self, proxy_server_url: str) -> None: async with asyncio.timeout(20): async with streamablehttp_client( url=f"{proxy_server_url}/mcp", @@ -220,22 +264,16 @@ class TestProxyMcpSimpleConnections: } assert expected_tool_names <= tool_names - async def _call_and_get_text( - tool_name: str, *, a: int, b: int - ) -> str | None: - result = await session.call_tool( - tool_name, arguments={"a": a, "b": b} - ) + async def _call_and_get_text(tool_name: str, *, a: int, b: int) -> str | None: + result = await session.call_tool(tool_name, arguments={"a": a, "b": b}) assert result.content first_content = result.content[0] return getattr(first_content, "text", None) stdio_result = await _call_and_get_text("math_stdio-add", a=2, b=3) - streamable_result = await _call_and_get_text( - "math_streamable_http-add", a=4, b=5 - ) + streamable_result = await _call_and_get_text("math_streamable_http-add", a=4, b=5) assert stdio_result == "5" - assert streamable_result == "9" + assert streamable_result == "109" class TestProxyMcpStatelessBehavior: @@ -254,9 +292,7 @@ class TestProxyMcpStatelessBehavior: """ @pytest.mark.asyncio - async def test_independent_clients_no_shared_session( - self, proxy_server_url: str - ) -> None: + async def test_independent_clients_no_shared_session(self, proxy_server_url: str) -> None: """Two independent clients connect and operate without sharing session state.""" async with asyncio.timeout(30): # --- Client A: connect, initialize, call tool --- @@ -269,9 +305,7 @@ class TestProxyMcpStatelessBehavior: ) as (read_a, write_a, _get_sid_a): async with ClientSession(read_a, write_a) as session_a: await session_a.initialize() - result_a = await session_a.call_tool( - "add", arguments={"a": 10, "b": 20} - ) + result_a = await session_a.call_tool("add", arguments={"a": 10, "b": 20}) assert result_a.content text_a = getattr(result_a.content[0], "text", None) assert text_a == "30" @@ -293,9 +327,359 @@ class TestProxyMcpStatelessBehavior: await session_b.initialize() tools = await session_b.list_tools() assert any(t.name.endswith("add") for t in tools.tools) - result_b = await session_b.call_tool( - "add", arguments={"a": 100, "b": 200} - ) + result_b = await session_b.call_tool("add", arguments={"a": 100, "b": 200}) assert result_b.content text_b = getattr(result_b.content[0], "text", None) assert text_b == "300" + + +PROXY_MODE_TOOLS = frozenset({"search_tools", "get_tool_schema", "call_tool"}) + + +def _payload(result: typing.Any) -> typing.Any: + assert result.content, f"empty tool result: {result}" + return json.loads(result.content[0].text) + + +def _proxy_session(proxy_server_url: str, **extra_headers: str): + return streamablehttp_client( + url=f"{proxy_server_url}/mcp/proxy", + headers={"Authorization": PROXY_AUTHORIZATION_HEADER, **extra_headers}, + ) + + +class TestProxyMcpSchemaDiscoveryMode: + """Drive /mcp/proxy over the real streamable-HTTP transport with the MCP SDK client: + the fixed three-tool surface, opaque-id discovery, schema-validated execution against + two upstreams that expose the same tool name, and the operations the surface refuses.""" + + @pytest.mark.asyncio + async def test_initialize_and_list_expose_only_discovery_tools(self, proxy_server_url: str) -> None: + async with asyncio.timeout(20): + async with _proxy_session(proxy_server_url) as (read, write, _sid): + async with ClientSession(read, write) as session: + init = await session.initialize() + assert init.capabilities.tools is not None + assert init.capabilities.prompts is None + assert init.capabilities.resources is None + + listed = await session.list_tools() + assert {tool.name for tool in listed.tools} == PROXY_MODE_TOOLS + + @pytest.mark.asyncio + async def test_search_schema_and_call_round_trip_keeps_server_identity(self, proxy_server_url: str) -> None: + async with asyncio.timeout(30): + async with _proxy_session(proxy_server_url) as (read, write, _sid): + async with ClientSession(read, write) as session: + await session.initialize() + + hits = _payload(await session.call_tool("search_tools", arguments={"query": "add"})) + by_name = {hit["name"]: hit for hit in hits} + assert {"math_stdio-add", "math_streamable_http-add"} <= set(by_name) + assert all("inputSchema" not in hit for hit in hits) + assert by_name["math_stdio-add"]["tool_id"] != by_name["math_streamable_http-add"]["tool_id"] + + schema = _payload( + await session.call_tool( + "get_tool_schema", arguments={"tool_id": by_name["math_stdio-add"]["tool_id"]} + ) + ) + assert schema["name"] == "math_stdio-add" + assert set(schema["inputSchema"]["required"]) == {"a", "b"} + assert schema["outputSchema"]["properties"]["result"]["type"] == "integer" + + stdio = await session.call_tool( + "call_tool", + arguments={"tool_id": by_name["math_stdio-add"]["tool_id"], "arguments": {"a": 3, "b": 4}}, + ) + http = await session.call_tool( + "call_tool", + arguments={ + "tool_id": by_name["math_streamable_http-add"]["tool_id"], + "arguments": {"a": 5, "b": 6}, + }, + ) + assert stdio.isError is False and stdio.content[0].text == "7" + assert http.isError is False and http.content[0].text == "111" + + @pytest.mark.asyncio + async def test_server_scope_header_narrows_discovery(self, proxy_server_url: str) -> None: + async with asyncio.timeout(20): + async with _proxy_session(proxy_server_url, **{"x-mcp-servers": "math_streamable_http"}) as ( + read, + write, + _sid, + ): + async with ClientSession(read, write) as session: + await session.initialize() + hits = _payload(await session.call_tool("search_tools", arguments={"query": "add"})) + assert {hit["name"] for hit in hits} == {"math_streamable_http-add"} + + @pytest.mark.asyncio + async def test_rejections_never_reach_upstream(self, proxy_server_url: str) -> None: + from mcp.shared.exceptions import McpError + from mcp.types import METHOD_NOT_FOUND + + async with asyncio.timeout(30): + async with _proxy_session(proxy_server_url) as (read, write, _sid): + async with ClientSession(read, write) as session: + await session.initialize() + hits = _payload(await session.call_tool("search_tools", arguments={"query": "add"})) + tool_id = next(hit["tool_id"] for hit in hits if hit["name"] == "math_stdio-add") + + bad_args = await session.call_tool( + "call_tool", arguments={"tool_id": tool_id, "arguments": {"a": "three", "b": 4}} + ) + assert bad_args.isError is True and "Invalid arguments" in bad_args.content[0].text + + stale = await session.call_tool("get_tool_schema", arguments={"tool_id": "0" * 32}) + assert stale.isError is True and "unauthorized tool_id" in stale.content[0].text + + for not_an_object in ("wrong", False): + refused_args = await session.call_tool( + "call_tool", arguments={"tool_id": tool_id, "arguments": not_an_object} + ) + assert refused_args.isError is True and "object" in refused_args.content[0].text + + direct = await session.call_tool("math_stdio-add", arguments={"a": 1, "b": 2}) + assert direct.isError is True and "unavailable on /mcp/proxy" in direct.content[0].text + + for operation in (session.list_prompts, session.list_resources): + with pytest.raises(McpError) as refused: + await operation() + assert refused.value.error.code == METHOD_NOT_FOUND + + +async def authorize_proxy_key(request: Request, api_key: str) -> UserAPIKeyAuth: + permissions = { + "sk-1234": LiteLLM_ObjectPermissionTable(object_permission_id="open", mcp_servers=["math_stdio"]), + "sk-restricted": LiteLLM_ObjectPermissionTable( + object_permission_id="restricted", mcp_servers=["math_restricted"] + ), + "sk-none": LiteLLM_ObjectPermissionTable(object_permission_id="none", mcp_servers=["no-mcp-servers"]), + "sk-add-only": LiteLLM_ObjectPermissionTable( + object_permission_id="add-only", mcp_servers=["math_stdio"], mcp_tool_permissions={"math_stdio": ["add"]} + ), + } + permission = permissions.get(api_key) + if permission is None: + raise ProxyException(message="Unknown test key", type="authentication_error", param=None, code=401) + return UserAPIKeyAuth(api_key=api_key, user_id=api_key, object_permission=permission) + + +class ProxyCallRecorder(CustomLogger): + def __init__(self) -> None: + super().__init__() + self.events: queue.Queue[str] = queue.Queue() + self.failures: queue.Queue[str] = queue.Queue() + + async def async_log_success_event( + self, kwargs: dict[str, object], response_obj: object, start_time: datetime, end_time: datetime + ) -> None: + payload = kwargs.get("standard_logging_object") + if isinstance(payload, dict) and payload.get("call_type") == "call_mcp_tool": + self.events.put(json.dumps(payload, default=str)) + + async def async_log_failure_event( + self, kwargs: dict[str, object], response_obj: object, start_time: datetime, end_time: datetime + ) -> None: + payload = kwargs.get("standard_logging_object") + if isinstance(payload, dict) and payload.get("call_type") == "call_mcp_tool": + self.failures.put(json.dumps(payload, default=str)) + + +proxy_call_recorder = ProxyCallRecorder() + + +@asynccontextmanager +async def _scoped_session(url: str, key: str = "sk-1234", **headers: str) -> typing.AsyncIterator[ClientSession]: + async with asyncio.timeout(30): + async with _proxy_session(url, Authorization=f"Bearer {key}", **headers) as (read, write, _sid): + async with ClientSession(read, write) as session: + await session.initialize() + yield session + + +async def _search(session: ClientSession, query: str) -> dict[str, str]: + result = await session.call_tool("search_tools", arguments={"query": query}) + assert result.isError is False, result + return {hit["name"]: hit["tool_id"] for hit in _payload(result)} + + +async def _call(session: ClientSession, tool_id: str, a: int = 3, b: int = 4) -> CallToolResult: + return await session.call_tool("call_tool", arguments={"tool_id": tool_id, "arguments": {"a": a, "b": b}}) + + +def _assert_unauthorized(result: CallToolResult) -> None: + assert result.isError is True + assert result.content[0].text == "Unknown or unauthorized tool_id" + + +class TestProxyMcpAuthorizationScope: + @pytest.mark.asyncio + async def test_server_grant_bounds_search_and_blocks_foreign_ids(self, proxy_server_url: str) -> None: + async with _scoped_session(proxy_server_url, "sk-restricted") as granted: + restricted_id = (await _search(granted, "add"))["math_restricted-add"] + assert (await _call(granted, restricted_id)).content[0].text == "207" + async with _scoped_session(proxy_server_url) as ungranted: + assert set(await _search(ungranted, "add")) == {"math_stdio-add", "math_streamable_http-add"} + _assert_unauthorized(await ungranted.call_tool("get_tool_schema", {"tool_id": restricted_id})) + _assert_unauthorized(await _call(ungranted, restricted_id)) + + @pytest.mark.asyncio + async def test_no_mcp_servers_sentinel_hides_every_tool(self, proxy_server_url: str) -> None: + async with _scoped_session(proxy_server_url) as granted: + tool_id = (await _search(granted, "add"))["math_stdio-add"] + async with _scoped_session(proxy_server_url, "sk-none") as session: + assert await _search(session, "add") == {} + _assert_unauthorized(await session.call_tool("get_tool_schema", {"tool_id": tool_id})) + _assert_unauthorized(await _call(session, tool_id)) + + @pytest.mark.asyncio + async def test_tool_grant_hides_ungranted_tools_and_blocks_their_ids(self, proxy_server_url: str) -> None: + async with _scoped_session(proxy_server_url) as granted: + multiply_id = (await _search(granted, "multiply"))["math_stdio-multiply"] + async with _scoped_session(proxy_server_url, "sk-add-only", **{"x-mcp-servers": "math_stdio"}) as session: + ids = await _search(session, "add multiply request_headers") + assert set(ids) == {"math_stdio-add"} + assert (await _call(session, ids["math_stdio-add"])).content[0].text == "7" + _assert_unauthorized(await session.call_tool("get_tool_schema", {"tool_id": multiply_id})) + _assert_unauthorized(await _call(session, multiply_id)) + + @pytest.mark.asyncio + async def test_same_named_tools_keep_distinct_ids_and_reach_their_own_upstream(self, proxy_server_url: str) -> None: + async with _scoped_session(proxy_server_url, "sk-restricted") as session: + ids = await _search(session, "add") + assert set(ids) == {"math_stdio-add", "math_streamable_http-add", "math_restricted-add"} + assert len(set(ids.values())) == 3 + assert all(len(tool_id) == 32 for tool_id in ids.values()) + for name, expected in ( + ("math_stdio-add", "7"), + ("math_streamable_http-add", "107"), + ("math_restricted-add", "207"), + ): + schema = _payload(await session.call_tool("get_tool_schema", {"tool_id": ids[name]})) + assert schema["name"] == name + assert schema["tool_id"] == ids[name] + result = await _call(session, ids[name]) + assert result.isError is False + assert result.content[0].text == expected + + @pytest.mark.asyncio + async def test_server_scope_header_narrows_grants_and_blocks_out_of_scope_ids(self, proxy_server_url: str) -> None: + async with _scoped_session(proxy_server_url, "sk-restricted") as unscoped: + other_id = (await _search(unscoped, "add"))["math_stdio-add"] + async with _scoped_session( + proxy_server_url, "sk-restricted", **{"x-mcp-servers": "math_restricted"} + ) as session: + ids = await _search(session, "add") + assert set(ids) == {"math_restricted-add"} + _assert_unauthorized(await session.call_tool("get_tool_schema", {"tool_id": other_id})) + _assert_unauthorized(await _call(session, other_id)) + assert (await _call(session, ids["math_restricted-add"])).content[0].text == "207" + + @pytest.mark.asyncio + @pytest.mark.parametrize("key", [None, "sk-invalid"]) + async def test_missing_or_invalid_key_cannot_initialize(self, proxy_server_url: str, key: str | None) -> None: + async with httpx.AsyncClient() as client: + response = await client.post( + f"{proxy_server_url}/mcp/proxy", + headers={ + "Accept": "application/json, text/event-stream", + **({"Authorization": f"Bearer {key}"} if key else {}), + }, + json={ + "jsonrpc": "2.0", + "id": 1, + "method": "initialize", + "params": { + "protocolVersion": "2025-03-26", + "capabilities": {}, + "clientInfo": {"name": "auth-test", "version": "1"}, + }, + }, + ) + assert response.status_code == 401, response.text + + @pytest.mark.asyncio + async def test_server_headers_are_forwarded_only_to_the_named_upstream(self, proxy_server_url: str) -> None: + for tag in ("first-request", "second-request"): + async with _scoped_session( + proxy_server_url, + "sk-restricted", + **{ + "x-mcp-math_restricted-authorization": f"Bearer {tag}", + "x-mcp-math_restricted-x-request-tag": tag, + }, + ) as session: + ids = await _search(session, "request_headers") + for name, expected in ( + ("math_restricted", {"authorization": f"Bearer {tag}", "x-request-tag": tag}), + ("math_streamable_http", {"authorization": "", "x-request-tag": ""}), + ): + result = await session.call_tool( + "call_tool", {"tool_id": ids[f"{name}-request_headers"], "arguments": {}} + ) + assert result.isError is False + assert _payload(result) == expected + + @pytest.mark.asyncio + async def test_proxy_call_emits_spend_log(self, proxy_server_url: str) -> None: + async with _scoped_session(proxy_server_url, "sk-restricted") as session: + tool_id = (await _search(session, "add"))["math_restricted-add"] + result = await _call(session, tool_id, 123, 456) + assert result.isError is False and result.content[0].text == "779" + async with asyncio.timeout(10): + while True: + payload = json.loads(await asyncio.to_thread(proxy_call_recorder.events.get, True, 5)) + if payload.get("metadata", {}).get("mcp_tool_call_metadata", {}).get("arguments") == { + "a": 123, + "b": 456, + }: + break + assert payload["call_type"] == "call_mcp_tool" + assert payload["response_cost"] == 0.25 + assert payload["status"] == "success" + assert payload["metadata"]["mcp_tool_call_metadata"]["mcp_server_name"] == "math_restricted" + assert payload["metadata"]["mcp_tool_call_metadata"]["name"] == "add" + assert payload["metadata"]["mcp_tool_call_metadata"]["namespaced_tool_name"] == "math_restricted/add" + + @pytest.mark.asyncio + async def test_proxy_scope_exception_returns_iserror_and_emits_failure_log(self, proxy_server_url: str) -> None: + async with _scoped_session( + proxy_server_url, + "sk-none", + **{"x-mcp-servers": "math_restricted", "x-litellm-call-id": "proxy-scope-denial"}, + ) as session: + result = await session.call_tool("call_tool", {"tool_id": "denied-scope", "arguments": {}}) + assert result.isError is True + assert result.content[0].text == ( + "Error: The key is not allowed to access the requested MCP servers: math_restricted" + ) + async with asyncio.timeout(10): + while True: + payload = json.loads(await asyncio.to_thread(proxy_call_recorder.failures.get, True, 5)) + if payload["id"] == "proxy-scope-denial": + break + assert payload["call_type"] == "call_mcp_tool" + assert payload["status"] == "failure" + assert payload["response_cost"] == 0 + assert "math_restricted" in payload["error_str"] + + @pytest.mark.parametrize("arguments", ["wrong", False, None, [], 0]) + def test_handler_rejects_non_object_arguments( + self, proxy_server_url: str, _proxy_server: ProxyRig, arguments: object + ) -> None: + async def check() -> None: + auth = UserAPIKeyAuth( + object_permission=LiteLLM_ObjectPermissionTable( + object_permission_id="validation", mcp_servers=["math_stdio"] + ) + ) + hits = _payload(await handle_mcp_proxy_tool("search_tools", {"query": "add"}, auth)) + tool_id = next(hit["tool_id"] for hit in hits if hit["name"] == "math_stdio-add") + result = await handle_mcp_proxy_tool("call_tool", {"tool_id": tool_id, "arguments": arguments}, auth) + assert result.isError is True + assert result.content[0].text == "arguments must be an object" + + asyncio.run_coroutine_threadsafe(check(), _proxy_server.loop).result(timeout=30) diff --git a/tests/test_litellm/enterprise/proxy/test_managed_files_hook.py b/tests/test_litellm/enterprise/proxy/test_managed_files_hook.py index 091b958d7c3..48fceb50403 100644 --- a/tests/test_litellm/enterprise/proxy/test_managed_files_hook.py +++ b/tests/test_litellm/enterprise/proxy/test_managed_files_hook.py @@ -1095,6 +1095,110 @@ async def test_afile_content_passes_trusted_model_credentials_to_router(): assert trusted_credentials["s3_bucket_name"] == "my-bucket" +def _managed_deletion_file_id(provider_file_id): + from litellm.types.utils import SpecialEnums + + value = SpecialEnums.LITELLM_MANAGED_FILE_COMPLETE_STR.value.format( + "application/json", "test-file", "batch-model", provider_file_id, "model-123" + ) + return base64.urlsafe_b64encode(value.encode()).decode().rstrip("=") + + +def _managed_files_with_deletion_row(unified_file_id, provider_file_id, file_object): + from litellm.caching import DualCache + from litellm.models.managed_files import LiteLLM_ManagedFileTable + from litellm_enterprise.proxy.hooks.managed_files import _PROXY_LiteLLMManagedFiles + + row = LiteLLM_ManagedFileTable( + unified_file_id=unified_file_id, + model_mappings={"model-123": provider_file_id}, + flat_model_file_ids=[provider_file_id], + file_object=file_object, + ) + table = MagicMock( + find_first=AsyncMock(return_value=row), + delete=AsyncMock(), + ) + return _PROXY_LiteLLMManagedFiles( + internal_usage_cache=DualCache(), + prisma_client=MagicMock(db=MagicMock(litellm_managedfiletable=table)), + ), table + + +@pytest.mark.asyncio +async def test_afile_delete_bedrock_uses_deployment_bucket_and_signed_s3_delete(monkeypatch): + import httpx + import respx + + from litellm import Router + + monkeypatch.delenv("AWS_S3_BUCKET_NAME", raising=False) + monkeypatch.delenv("AWS_S3_OUTPUT_BUCKET_NAME", raising=False) + monkeypatch.setenv("DISABLE_AIOHTTP_TRANSPORT", "True") + router = Router( + model_list=[ + { + "model_name": "bedrock-batch", + "litellm_params": { + "model": "bedrock/us.anthropic.claude-haiku-4-5-20251001-v1:0", + "aws_access_key_id": "AKIAEXAMPLE", + "aws_secret_access_key": "secret", + "aws_region_name": "us-west-2", + "s3_bucket_name": "my-bucket", + }, + "model_info": {"id": "model-123"}, + } + ], + num_retries=0, + ) + s3_uri = "s3://my-bucket/litellm-bedrock-files/input.jsonl" + unified_file_id = _managed_deletion_file_id(s3_uri) + managed_files, table = _managed_files_with_deletion_row(unified_file_id, s3_uri, None) + with respx.mock: + route = respx.delete( + "https://s3.us-west-2.amazonaws.com/my-bucket/litellm-bedrock-files/input.jsonl" + ).mock(return_value=httpx.Response(204)) + response = await managed_files.afile_delete( + file_id=unified_file_id, + litellm_parent_otel_span=None, + llm_router=router, + _litellm_internal_model_credentials={"s3_bucket_name": "request-bucket"}, + ) + + assert len(route.calls) == 1 + assert route.calls[0].request.headers["Authorization"].startswith("AWS4-HMAC-SHA256") + assert response.id == unified_file_id + assert response.deleted is True + table.delete.assert_awaited_once_with(where={"unified_file_id": unified_file_id}) + + +@pytest.mark.asyncio +async def test_afile_delete_returns_managed_id_for_stored_provider_output(): + from openai.types import FileDeleted + + provider_file_id = "file-error-output" + unified_file_id = _managed_deletion_file_id(provider_file_id) + stored_file = _make_file_object(provider_file_id) + managed_files, table = _managed_files_with_deletion_row(unified_file_id, provider_file_id, stored_file) + router = MagicMock( + get_deployment_credentials_with_provider=MagicMock(return_value=None), + afile_delete=AsyncMock(return_value=FileDeleted(id=provider_file_id, object="file", deleted=True)), + ) + response = await managed_files.afile_delete( + file_id=unified_file_id, + litellm_parent_otel_span=None, + llm_router=router, + _litellm_internal_model_credentials={"s3_bucket_name": "request-bucket"}, + ) + + assert response.id == unified_file_id + assert response.object == "file" + assert response.filename == stored_file.filename + assert stored_file.id == provider_file_id + router.afile_delete.assert_awaited_once_with(model="model-123", file_id=provider_file_id) + table.delete.assert_awaited_once_with(where={"unified_file_id": unified_file_id}) + + @pytest.mark.asyncio async def test_afile_content_bedrock_unified_id_end_to_end(monkeypatch): """ diff --git a/tests/test_litellm/experimental_mcp_client/test_mcp_client.py b/tests/test_litellm/experimental_mcp_client/test_mcp_client.py index 4db131da62c..b07e5876e8b 100644 --- a/tests/test_litellm/experimental_mcp_client/test_mcp_client.py +++ b/tests/test_litellm/experimental_mcp_client/test_mcp_client.py @@ -1,9 +1,12 @@ import asyncio import base64 +import json import os import sys +from collections.abc import AsyncIterator from importlib import metadata from pathlib import Path +from typing import Final from unittest.mock import AsyncMock, MagicMock, patch import anyio @@ -11,15 +14,19 @@ import httpx import pytest from litellm.proxy._experimental.mcp_server.outbound_credentials.httpx_auth import StaticHeaderAuth from mcp import McpError +from mcp.client.streamable_http import streamable_http_client +from pydantic import ValidationError from mcp.shared.message import SessionMessage from mcp.types import ( LATEST_PROTOCOL_VERSION, + CallToolResult, ErrorData, Implementation, InitializeResult, JSONRPCError, JSONRPCMessage, JSONRPCResponse, + LoggingMessageNotificationParams, ServerCapabilities, ) @@ -29,8 +36,9 @@ import litellm.experimental_mcp_client.client as mcp_client_module from litellm.experimental_mcp_client.client import ( MCP_STREAMABLE_HTTP_REQUIREMENT, MCPClient, - _as_read_timeout, _first_non_cancelled_cause, + _TransportContext, + as_mcp_read_timeout, missing_streamable_http_client_error, strip_auth_scheme, ) @@ -859,25 +867,25 @@ def _raise_mcp_error_while_handling_a_timeout(code: int, message: str) -> McpErr return raised -def test_as_read_timeout_separates_the_sdk_timeout_from_a_relayed_upstream_error(): +def test_as_mcp_read_timeout_separates_the_sdk_timeout_from_a_relayed_upstream_error(): """Neither signal alone is enough. The code alone cannot separate the SDK's own timeout from an upstream JSON-RPC error that happens to use 408, and the context chain alone cannot separate it from any other relayed error that surfaces while a timeout is being handled, so both must hold. """ timeout_code = int(httpx.codes.REQUEST_TIMEOUT) - translated = _as_read_timeout(_raise_mcp_error_while_handling_a_timeout(timeout_code, "Timed out while waiting")) + translated = as_mcp_read_timeout(_raise_mcp_error_while_handling_a_timeout(timeout_code, "Timed out while waiting")) assert isinstance(translated, TimeoutError) assert str(translated) == "Timed out while waiting" relayed_408 = McpError(ErrorData(code=timeout_code, message="upstream said 408")) - assert _as_read_timeout(relayed_408) is None, "an upstream 408 with no elapsed timeout is not our timeout" + assert as_mcp_read_timeout(relayed_408) is None, "an upstream 408 with no elapsed timeout is not our timeout" relayed_other = _raise_mcp_error_while_handling_a_timeout(-32603, "upstream internal error") - assert _as_read_timeout(relayed_other) is None, "a non-timeout code is not our timeout, whatever the chain" + assert as_mcp_read_timeout(relayed_other) is None, "a non-timeout code is not our timeout, whatever the chain" - assert _as_read_timeout(McpError(ErrorData(code=-32603, message="boom"))) is None - assert _as_read_timeout(RuntimeError("not an McpError")) is None + assert as_mcp_read_timeout(McpError(ErrorData(code=-32603, message="boom"))) is None + assert as_mcp_read_timeout(RuntimeError("not an McpError")) is None @pytest.mark.asyncio @@ -1224,14 +1232,14 @@ def test_without_a_configured_slot_the_existing_precedence_is_unchanged(): _REDIRECT_CASES = [ - ("https://upstream.example.com/mcp", "https://upstream.example.com/other"), # same origin + ("https://upstream.example.com/mcp", "https://upstream.example.com/other"), # same origin ("https://upstream.example.com/mcp", "https://upstream.example.com:443/other"), # explicit default port - ("https://upstream.example.com/mcp", "https://attacker.example.com/collect"), # different host - ("https://upstream.example.com/mcp", "http://upstream.example.com/collect"), # scheme downgrade - ("https://upstream.example.com/mcp", "https://upstream.example.com:8443/other"), # different port - ("https://upstream.example.com/mcp", "https://sub.upstream.example.com/x"), # different host - ("http://upstream.example.com/mcp", "https://upstream.example.com/other"), # http -> https upgrade - ("http://upstream.example.com/mcp", "http://upstream.example.com/other"), # same origin, plain http + ("https://upstream.example.com/mcp", "https://attacker.example.com/collect"), # different host + ("https://upstream.example.com/mcp", "http://upstream.example.com/collect"), # scheme downgrade + ("https://upstream.example.com/mcp", "https://upstream.example.com:8443/other"), # different port + ("https://upstream.example.com/mcp", "https://sub.upstream.example.com/x"), # different host + ("http://upstream.example.com/mcp", "https://upstream.example.com/other"), # http -> https upgrade + ("http://upstream.example.com/mcp", "http://upstream.example.com/other"), # same origin, plain http ] @@ -1283,3 +1291,398 @@ def test_a_differently_cased_injected_header_cannot_shadow_the_slot() -> None: headers = client._get_auth_headers() assert [v for k, v in headers.items() if k.lower() == "esb-oauth"] == ["Bearer minted-token"] assert headers["X-Trace"] == "keep" + + +@pytest.mark.asyncio +@pytest.mark.parametrize( + ("content_type", "body", "expected_type"), + [ + ("text/html", b"secret-page", ValueError), + ("application/json", b"secret-invalid-json", ValidationError), + ("application/json", b"", ValidationError), + ("application/json", b'{"secret":"invalid-rpc"}', ValidationError), + ("application/json", b'{"jsonrpc":"2.0","id":0,"result":{"secret":"invalid-schema"}}', ValidationError), + ], +) +async def test_invalid_http_response_surfaces_without_waiting_for_timeout( + content_type: str, body: bytes, expected_type: type[Exception] +) -> None: + from litellm.proxy._experimental.mcp_server.rest_endpoints import _connection_error_message + + def respond(request: httpx.Request) -> httpx.Response: + return httpx.Response(200, headers={"Content-Type": content_type}, content=body) + + async with httpx.AsyncClient(transport=httpx.MockTransport(respond)) as http_client: + client: Final = MCPClient(server_url="https://example.com/mcp", timeout=30) + with pytest.raises(expected_type) as caught: + await asyncio.wait_for( + client._execute_session_operation( + streamable_http_client(client.server_url, http_client=http_client), + lambda session: session.list_tools(), + ), + timeout=3, + ) + + message: Final = _connection_error_message(caught.value, client.server_url, 30) + assert "unsupported content type" in message or "invalid MCP response" in message + assert "secret" not in message + assert "timed out" not in message + + +@pytest.mark.asyncio +@pytest.mark.parametrize("status_code", [200, 401, 503]) +async def test_http_response_handler_preserves_success_and_http_errors(status_code: int) -> None: + def respond(request: httpx.Request) -> httpx.Response: + if request.method == "DELETE": + return httpx.Response(200) + payload: Final = json.loads(request.content) + if "id" not in payload: + return httpx.Response(202) + result: Final = ( + { + "protocolVersion": LATEST_PROTOCOL_VERSION, + "capabilities": {}, + "serverInfo": {"name": "test", "version": "1"}, + } + if payload["method"] == "initialize" + else {"tools": []} + ) + return httpx.Response(status_code, json={"jsonrpc": "2.0", "id": payload["id"], "result": result}) + + async with httpx.AsyncClient(transport=httpx.MockTransport(respond)) as http_client: + client: Final = MCPClient(server_url="https://example.com/mcp", timeout=30) + operation: Final = client._execute_session_operation( + streamable_http_client(client.server_url, http_client=http_client), lambda session: session.list_tools() + ) + if status_code == 200: + result: Final = await asyncio.wait_for(operation, timeout=3) + assert result.tools == [] + else: + with pytest.raises(httpx.HTTPStatusError) as caught: + await asyncio.wait_for(operation, timeout=3) + assert caught.value.response.status_code == status_code + + +@pytest.mark.asyncio +async def test_http_response_handler_preserves_notifications_and_tool_listing() -> None: + notification: Final = { + "jsonrpc": "2.0", + "method": "notifications/message", + "params": {"level": "info", "data": "Listing tools"}, + } + logging_callback: Final = AsyncMock() + + def respond(request: httpx.Request) -> httpx.Response: + if request.method == "DELETE": + return httpx.Response(200) + payload: Final = json.loads(request.content) + if "id" not in payload: + return httpx.Response(202) + if payload["method"] == "initialize": + return httpx.Response( + 200, + json={ + "jsonrpc": "2.0", + "id": payload["id"], + "result": { + "protocolVersion": LATEST_PROTOCOL_VERSION, + "capabilities": {"logging": {}, "tools": {}}, + "serverInfo": {"name": "test", "version": "1"}, + }, + }, + ) + response: Final = { + "jsonrpc": "2.0", + "id": payload["id"], + "result": {"tools": [{"name": "search", "inputSchema": {"type": "object"}}]}, + } + return httpx.Response( + 200, + headers={"Content-Type": "text/event-stream"}, + content="".join(f"event: message\ndata: {json.dumps(message)}\n\n" for message in (notification, response)), + ) + + async with httpx.AsyncClient(transport=httpx.MockTransport(respond)) as http_client: + client: Final = MCPClient(server_url="https://example.com/mcp", timeout=30, logging_callback=logging_callback) + result: Final = await asyncio.wait_for( + client._execute_session_operation( + streamable_http_client(client.server_url, http_client=http_client), lambda session: session.list_tools() + ), + timeout=3, + ) + + assert [tool.name for tool in result.tools] == ["search"] + logging_callback.assert_awaited_once_with(LoggingMessageNotificationParams(level="info", data="Listing tools")) + + +@pytest.mark.asyncio +async def test_invalid_tool_list_schema_is_identified_as_an_upstream_response() -> None: + from litellm.proxy._experimental.mcp_server.rest_endpoints import _connection_error_message + + def respond(request: httpx.Request) -> httpx.Response: + if request.method == "DELETE": + return httpx.Response(200) + payload: Final = json.loads(request.content) + if "id" not in payload: + return httpx.Response(202) + result: Final = ( + { + "protocolVersion": LATEST_PROTOCOL_VERSION, + "capabilities": {}, + "serverInfo": {"name": "test", "version": "1"}, + } + if payload["method"] == "initialize" + else {"tools": "secret-invalid-tools"} + ) + return httpx.Response(200, json={"jsonrpc": "2.0", "id": payload["id"], "result": result}) + + async with httpx.AsyncClient(transport=httpx.MockTransport(respond)) as http_client: + client: Final = MCPClient(server_url="https://example.com/mcp", timeout=30) + with pytest.raises(ValidationError) as caught: + await asyncio.wait_for( + client._execute_session_operation( + streamable_http_client(client.server_url, http_client=http_client), + lambda session: session.list_tools(), + ), + timeout=3, + ) + + message: Final = _connection_error_message(caught.value, client.server_url, 30) + assert "invalid MCP response" in message + assert "secret" not in message + + +class _DiagnosticSSEStream(httpx.AsyncByteStream): + def __init__(self, messages: asyncio.Queue[bytes | Exception | None]) -> None: + self.messages = messages + + async def __aiter__(self) -> AsyncIterator[bytes]: + yield b"event: endpoint\ndata: /messages\n\n" + while True: + message: Final = await self.messages.get() + if message is None: + return + if isinstance(message, Exception): + raise message + yield b"event: message\ndata: " + message + b"\n\n" + + +_DIAGNOSTIC_STDIO_SERVER: Final = """ +import json, sys +mode, failure_method = sys.argv[1:] +for line in sys.stdin: + request = json.loads(line) + if "method" not in request or "id" not in request: + continue + if request["method"] == failure_method: + if mode == "bad-json": + print("secret-invalid-json", flush=True) + continue + if mode == "closed": + sys.exit(0) + if mode == "silent": + print(json.dumps({"jsonrpc": "2.0", "method": "notifications/message", "params": {"level": "info", "data": "Waiting"}}), flush=True) + continue + if request["method"] == "initialize": + result = {"protocolVersion": request["params"]["protocolVersion"], "capabilities": {"tools": {}, "logging": {}}, "serverInfo": {"name": "diagnostic", "version": "1"}} + elif request["method"] == "tools/list": + print(json.dumps({"jsonrpc": "2.0", "method": "notifications/message", "params": {"level": "info", "data": "Listing tools"}}), flush=True) + print(json.dumps({"jsonrpc": "2.0", "id": "unmatched", "result": {}}), flush=True) + print(json.dumps({"jsonrpc": "2.0", "id": "server-ping", "method": "ping"}), flush=True) + result = {"tools": [{"name": "ping", "inputSchema": {"type": "object"}}]} + else: + result = {"content": [{"type": "text", "text": "pong"}], "isError": False} + print(json.dumps({"jsonrpc": "2.0", "id": request["id"], "result": result}), flush=True) +""" + + +def _diagnostic_transport(transport: MCPTransport, mode: str, failure_method: str) -> _TransportContext: + from mcp import StdioServerParameters + from mcp.client.sse import sse_client + from mcp.client.stdio import stdio_client + + if transport == MCPTransport.stdio: + return stdio_client( + StdioServerParameters( + command=sys.executable, args=["-u", "-c", _DIAGNOSTIC_STDIO_SERVER, mode, failure_method] + ) + ) + messages: Final[asyncio.Queue[bytes | Exception | None]] = asyncio.Queue() + + async def respond(request: httpx.Request) -> httpx.Response: + if request.method == "GET": + return httpx.Response( + 200, headers={"Content-Type": "text/event-stream"}, stream=_DiagnosticSSEStream(messages) + ) + payload: Final = json.loads(request.content) + if "method" not in payload or "id" not in payload: + return httpx.Response(202) + if payload["method"] == failure_method and mode != "ok": + if mode == "bad-json": + await messages.put(b"secret-invalid-json") + elif mode == "io-error": + await messages.put(httpx.ReadError("secret-read-error")) + elif mode == "closed": + await messages.put(None) + elif mode == "silent": + await messages.put( + b'{"jsonrpc":"2.0","method":"notifications/message","params":{"level":"info","data":"Waiting"}}' + ) + return httpx.Response(202) + if payload["method"] == "tools/list": + for message in ( + { + "jsonrpc": "2.0", + "method": "notifications/message", + "params": {"level": "info", "data": "Listing tools"}, + }, + {"jsonrpc": "2.0", "id": "unmatched", "result": {}}, + {"jsonrpc": "2.0", "id": "server-ping", "method": "ping"}, + ): + await messages.put(json.dumps(message).encode()) + result: Final = ( + { + "protocolVersion": LATEST_PROTOCOL_VERSION, + "capabilities": {"tools": {}, "logging": {}}, + "serverInfo": {"name": "diagnostic", "version": "1"}, + } + if payload["method"] == "initialize" + else {"tools": [{"name": "ping", "inputSchema": {"type": "object"}}]} + if payload["method"] == "tools/list" + else {"content": [{"type": "text", "text": "pong"}], "isError": False} + ) + await messages.put(json.dumps({"jsonrpc": "2.0", "id": payload["id"], "result": result}).encode()) + return httpx.Response(202) + + def factory( + headers: dict[str, str] | None = None, + timeout: httpx.Timeout | None = None, + auth: httpx.Auth | None = None, + ) -> httpx.AsyncClient: + return httpx.AsyncClient(transport=httpx.MockTransport(respond), headers=headers, timeout=timeout, auth=auth) + + return sse_client("https://example.com/sse", httpx_client_factory=factory) + + +@pytest.mark.asyncio +@pytest.mark.parametrize("transport", [MCPTransport.sse, MCPTransport.stdio]) +@pytest.mark.parametrize("failure_method", ["initialize", "tools/list"]) +async def test_transport_parsing_failure_is_preserved(transport: MCPTransport, failure_method: str) -> None: + client: Final = MCPClient(server_url="https://example.com/sse", transport_type=transport, timeout=0.2) + with pytest.raises(ValidationError): + await asyncio.wait_for( + client._execute_session_operation( + _diagnostic_transport(transport, "bad-json", failure_method), lambda session: session.list_tools() + ), + timeout=3, + ) + + +@pytest.mark.asyncio +async def test_sse_read_failure_is_preserved() -> None: + client: Final = MCPClient(server_url="https://example.com/sse", transport_type=MCPTransport.sse, timeout=0.2) + with pytest.raises(httpx.ReadError, match="secret-read-error"): + await asyncio.wait_for( + client._execute_session_operation( + _diagnostic_transport(MCPTransport.sse, "io-error", "tools/list"), lambda session: session.list_tools() + ), + timeout=3, + ) + + +@pytest.mark.asyncio +@pytest.mark.parametrize("transport", [MCPTransport.sse, MCPTransport.stdio]) +@pytest.mark.parametrize("mode", ["ok", "closed", "silent"]) +async def test_transport_completion_and_normal_messages(transport: MCPTransport, mode: str) -> None: + from mcp import ClientSession + from litellm.proxy._experimental.mcp_server.rest_endpoints import _connection_error_message + + logging_callback: Final = AsyncMock() + client: Final = MCPClient( + server_url="https://example.com/sse", transport_type=transport, timeout=0.2, logging_callback=logging_callback + ) + + async def operation(session: ClientSession) -> CallToolResult: + tools: Final = await session.list_tools() + assert [tool.name for tool in tools.tools] == ["ping"] + return await session.call_tool("ping", {}) + + pending: Final = client._execute_session_operation(_diagnostic_transport(transport, mode, "tools/list"), operation) + if mode == "ok": + result: Final = await asyncio.wait_for(pending, timeout=3) + assert result.isError is False + assert result.content[0].text == "pong" + logging_callback.assert_awaited_once_with(LoggingMessageNotificationParams(level="info", data="Listing tools")) + else: + with pytest.raises(McpError) as caught: + await asyncio.wait_for(pending, timeout=3) + if mode == "closed": + assert "connection was closed" in _connection_error_message(caught.value, client.server_url, 0.2) + else: + assert isinstance(as_mcp_read_timeout(caught.value), TimeoutError) + + +@pytest.mark.asyncio +@pytest.mark.parametrize("transport", [MCPTransport.sse, MCPTransport.stdio]) +async def test_transport_cancellation_cleans_up_a_pending_request(transport: MCPTransport) -> None: + ready: Final = asyncio.Event() + + async def on_log(message: LoggingMessageNotificationParams) -> None: + if message.data == "Waiting": + ready.set() + + client: Final = MCPClient( + server_url="https://example.com/sse", transport_type=transport, timeout=30, logging_callback=on_log + ) + task: Final = asyncio.create_task( + client._execute_session_operation( + _diagnostic_transport(transport, "silent", "tools/list"), lambda session: session.list_tools() + ) + ) + try: + await asyncio.wait_for(ready.wait(), timeout=3) + finally: + task.cancel() + with pytest.raises(asyncio.CancelledError): + await asyncio.wait_for(task, timeout=3) + + +class _InterruptedHTTPBody(httpx.AsyncByteStream): + async def __aiter__(self) -> AsyncIterator[bytes]: + yield b'{"jsonrpc":' + raise httpx.RemoteProtocolError("secret-incomplete-response") + + +@pytest.mark.asyncio +async def test_interrupted_http_response_preserves_the_transport_failure() -> None: + def respond(request: httpx.Request) -> httpx.Response: + return httpx.Response(200, headers={"Content-Type": "application/json"}, stream=_InterruptedHTTPBody()) + + async with httpx.AsyncClient(transport=httpx.MockTransport(respond)) as http_client: + client: Final = MCPClient(server_url="https://example.com/mcp", timeout=30) + with pytest.raises(httpx.RemoteProtocolError, match="secret-incomplete-response"): + await asyncio.wait_for( + client._execute_session_operation( + streamable_http_client(client.server_url, http_client=http_client), + lambda session: session.list_tools(), + ), + timeout=3, + ) + + +@pytest.mark.asyncio +async def test_empty_http_event_stream_uses_the_existing_request_deadline() -> None: + def respond(request: httpx.Request) -> httpx.Response: + return httpx.Response(200, headers={"Content-Type": "text/event-stream"}, content=b"") + + async with httpx.AsyncClient(transport=httpx.MockTransport(respond)) as http_client: + client: Final = MCPClient(server_url="https://example.com/mcp", timeout=0.2) + with pytest.raises(McpError) as caught: + await asyncio.wait_for( + client._execute_session_operation( + streamable_http_client(client.server_url, http_client=http_client), + lambda session: session.list_tools(), + ), + timeout=3, + ) + assert isinstance(as_mcp_read_timeout(caught.value), TimeoutError) diff --git a/tests/test_litellm/integrations/otel/test_otel_v2_components.py b/tests/test_litellm/integrations/otel/test_otel_v2_components.py index 6676714d7f5..ae41c74944d 100644 --- a/tests/test_litellm/integrations/otel/test_otel_v2_components.py +++ b/tests/test_litellm/integrations/otel/test_otel_v2_components.py @@ -6,14 +6,18 @@ import json import threading from collections.abc import Iterator from dataclasses import replace -from http.server import BaseHTTPRequestHandler, ThreadingHTTPServer +from http.server import BaseHTTPRequestHandler, HTTPServer, ThreadingHTTPServer import pytest pytest.importorskip("opentelemetry") +from opentelemetry.proto.collector.trace.v1.trace_service_pb2 import ( # noqa: E402 + ExportTraceServiceRequest, +) from opentelemetry.sdk.metrics import MeterProvider # noqa: E402 from opentelemetry.sdk.metrics.export import InMemoryMetricReader # noqa: E402 +from opentelemetry.sdk.trace import TracerProvider # noqa: E402 from opentelemetry.sdk.trace.export import ( # noqa: E402 BatchSpanProcessor, ConsoleSpanExporter, @@ -541,6 +545,89 @@ def test_build_span_exporter_variants(): assert "OTLPSpanExporter" in type(http_exporter).__name__ +def _export_one_trace_to_local_collector(exporter_kind: str) -> tuple[list[dict], tuple[int, int, int]]: + """Run a parent/child trace through the configured exporter against a + throwaway HTTP collector. Returns the requests as the collector saw them + (child first, since it ends first) and (trace_id, parent span_id, child span_id).""" + received: list[dict] = [] + + class Collector(BaseHTTPRequestHandler): + def do_POST(self): + body = self.rfile.read(int(self.headers["Content-Length"])) + received.append({"path": self.path, "headers": dict(self.headers), "body": body}) + self.send_response(200) + self.end_headers() + + def log_message(self, *_args): + pass + + server = HTTPServer(("127.0.0.1", 0), Collector) + threading.Thread(target=server.serve_forever, daemon=True).start() + try: + config = OpenTelemetryV2Config( + exporter=exporter_kind, + endpoint=f"http://127.0.0.1:{server.server_port}", + headers="x-collector-token=secret", + ) + provider = TracerProvider() + provider.add_span_processor(SimpleSpanProcessor(providers.build_span_exporter(config))) + tracer = provider.get_tracer("test") + with tracer.start_as_current_span("parent", kind=SpanKind.SERVER) as parent: + with tracer.start_as_current_span("child") as child: + ids = ( + parent.get_span_context().trace_id, + parent.get_span_context().span_id, + child.get_span_context().span_id, + ) + provider.shutdown() + finally: + server.shutdown() + server.server_close() + assert len(received) == 2 + return received, ids + + +def _only_span(request: dict) -> dict: + scope_spans = json.loads(request["body"])["resourceSpans"][0]["scopeSpans"][0]["spans"] + assert len(scope_spans) == 1 + return scope_spans[0] + + +def test_http_json_exporter_posts_otlp_json_to_traces_endpoint(): + """``http/json`` must put the OTLP/JSON mapping on the wire (camelCase + fields, integer enums, hex ids) with a JSON content type, so collectors that + cannot decode protobuf can ingest the trace. Headers still travel.""" + (child_request, parent_request), (trace_id, parent_id, child_id) = _export_one_trace_to_local_collector("http/json") + + assert parent_request["path"] == "/v1/traces" + assert parent_request["headers"]["Content-Type"] == "application/json" + assert parent_request["headers"]["x-collector-token"] == "secret" + parent = _only_span(parent_request) + assert parent["name"] == "parent" + assert parent["kind"] == 2 + assert parent["traceId"] == format(trace_id, "032x") + assert parent["spanId"] == format(parent_id, "016x") + assert "parentSpanId" not in parent + child = _only_span(child_request) + assert child["traceId"] == format(trace_id, "032x") + assert child["spanId"] == format(child_id, "016x") + assert child["parentSpanId"] == format(parent_id, "016x") + + +def test_http_protobuf_exporter_still_posts_protobuf(): + (_child_request, parent_request), (trace_id, _parent_id, _child_id) = _export_one_trace_to_local_collector( + "http/protobuf" + ) + + assert parent_request["path"] == "/v1/traces" + assert parent_request["headers"]["Content-Type"] == "application/x-protobuf" + assert format(trace_id, "032x").encode() not in parent_request["body"] + decoded = ExportTraceServiceRequest.FromString(parent_request["body"]) + span = decoded.resource_spans[0].scope_spans[0].spans[0] + assert span.name == "parent" + assert span.trace_id == trace_id.to_bytes(16, "big") + + @pytest.fixture def otlp_collector() -> Iterator[tuple[str, list[str]]]: received_paths: list[str] = [] @@ -612,6 +699,21 @@ def test_traces_endpoint_per_exporter_coexists_with_default_normalization(otlp_c assert sorted(received_paths) == ["/services/collector/traces", "/v1/traces"] +def test_http_json_exporter_honors_traces_endpoint(otlp_collector): + base_url, received_paths = otlp_collector + cfg = OpenTelemetryV2Config( + exporters=[ + { + "kind": "http/json", + "endpoint": base_url, + "traces_endpoint": f"{base_url}/services/collector/traces", + } + ] + ) + _export_one_span(cfg) + assert received_paths == ["/services/collector/traces"] + + def test_otlp_metric_exporter_uses_cumulative_histogram_temporality(): """Histograms must export as cumulative, not delta. diff --git a/tests/test_litellm/integrations/otel/test_otel_v2_destinations.py b/tests/test_litellm/integrations/otel/test_otel_v2_destinations.py new file mode 100644 index 00000000000..67695d5aed8 --- /dev/null +++ b/tests/test_litellm/integrations/otel/test_otel_v2_destinations.py @@ -0,0 +1,2744 @@ +"""Key/team OTLP destinations override the operator's exporters for that backend.""" + +import contextvars +import time +from base64 import b64encode +from collections.abc import Mapping +from functools import reduce +from types import MappingProxyType + +import pytest +from opentelemetry.sdk.resources import Resource +from opentelemetry.sdk.trace import TracerProvider +from opentelemetry.sdk.trace.export import SimpleSpanProcessor +from opentelemetry.sdk.trace.export.in_memory_span_exporter import InMemorySpanExporter +from opentelemetry.trace import Status, StatusCode + +import litellm +from litellm.integrations.custom_logger import CustomLogger +from litellm.integrations.otel import logger as otel_logger +from litellm.integrations.otel.logger import ( + OpenTelemetryV2, + build_otel_v2_logger, + fan_out_provider, + publish_global_otel_v2_provider, +) +from litellm.integrations.otel.model.config import ( + ExporterOwner, + ExporterSpec, + OpenTelemetryV2Config, + is_otel_v2_enabled, +) +from litellm.integrations.otel.model.destination import OtelDestination +from litellm.integrations.otel.plumbing import providers as otel_providers +from litellm.integrations.otel.plumbing.context import ( + destination_backends, + request_destinations, + set_request_destinations, +) +from litellm.integrations.otel.plumbing.providers import ( + TenantFanOutSpanProcessor, + _OverriddenBackendFilter, + _sink_key, + build_tracer_provider, + deliverable_destinations, + operator_sink_keys, +) +from litellm.integrations.otel.plumbing.routing import TenantTracerCache, get_tracer +from litellm.integrations.otel.presets.arize import arize_preset +from litellm.integrations.otel.presets.destinations import ( + destination_capable_backends, + destination_for, +) +from litellm.integrations.otel.presets.langfuse import langfuse_preset +from litellm.proxy._types import AddTeamCallback, UserAPIKeyAuth +from litellm.proxy.litellm_pre_call_utils import ( + convert_key_logging_metadata_to_callback, + resolve_tenant_otel_destinations, +) +from litellm.types.utils import StandardCallbackDynamicParams + +LANGFUSE_DEST = OtelDestination( + endpoint="http://tenant.local/api/public/otel", + headers={"Authorization": "Basic dGVuYW50"}, + callback_name="langfuse_otel", +) + + +@pytest.fixture +def allow_test_hosts(monkeypatch): + """A tenant-supplied host must be allowlisted by the operator. Allowlist the ones + these fixtures name so the resolution tests stay about resolution; + ``TestTenantHostSsrfGuard`` covers the guard itself.""" + monkeypatch.setattr( + litellm, "provider_url_destination_allowed_hosts", ["team.local", "key.local", "x"], raising=False + ) + + +@pytest.fixture(autouse=True) +def isolate_published_provider(monkeypatch): + """Publishing records the fan-out carrier in module state; one test's publish must + not become the next test's provider.""" + monkeypatch.setattr(otel_logger, "_published_v2_provider", None) + + +def in_fresh_context(fn, *args): + """Run ``fn`` in its own context so one test's destinations never leak.""" + return contextvars.copy_context().run(fn, *args) + + +def emit(provider: TracerProvider, name: str = "chat gpt-4") -> None: + with get_tracer(provider, "litellm").start_as_current_span(name): + pass + + +def wired_provider(dest_exporter: InMemorySpanExporter, global_exporter: InMemorySpanExporter) -> TracerProvider: + """The operator's provider: one owned exporter plus the tenant fan-out.""" + provider = TracerProvider() + provider.add_span_processor(_OverriddenBackendFilter(SimpleSpanProcessor(global_exporter), "langfuse_otel")) + provider.add_span_processor( + TenantFanOutSpanProcessor(processor_factory=lambda _d: SimpleSpanProcessor(dest_exporter)) + ) + return provider + + +class TestOverrideSuppression: + def test_operator_exporter_keeps_the_span_when_no_destination_is_resolved(self): + global_exporter, dest_exporter = InMemorySpanExporter(), InMemorySpanExporter() + provider = wired_provider(dest_exporter, global_exporter) + + in_fresh_context(emit, provider) + + assert [s.name for s in global_exporter.get_finished_spans()] == ["chat gpt-4"] + assert dest_exporter.get_finished_spans() == () + + def test_operator_exporter_is_skipped_once_the_backend_is_overridden(self): + global_exporter, dest_exporter = InMemorySpanExporter(), InMemorySpanExporter() + provider = wired_provider(dest_exporter, global_exporter) + + def run(): + set_request_destinations((LANGFUSE_DEST,)) + emit(provider) + + in_fresh_context(run) + + assert global_exporter.get_finished_spans() == () + assert [s.name for s in dest_exporter.get_finished_spans()] == ["chat gpt-4"] + + def test_a_backend_the_request_did_not_override_still_exports(self): + arize_exporter, dest_exporter = InMemorySpanExporter(), InMemorySpanExporter() + provider = TracerProvider() + provider.add_span_processor(_OverriddenBackendFilter(SimpleSpanProcessor(arize_exporter), "arize")) + provider.add_span_processor( + TenantFanOutSpanProcessor(processor_factory=lambda _d: SimpleSpanProcessor(dest_exporter)) + ) + + def run(): + set_request_destinations((LANGFUSE_DEST,)) + emit(provider) + + in_fresh_context(run) + + assert [s.name for s in arize_exporter.get_finished_spans()] == ["chat gpt-4"] + + +class TestRoutingMode: + """The operator's choice between replacing its own exporter and exporting alongside it. + + One org-wide backend across every team is a real deployment, and losing it the + moment a team configures its own is what ``additive`` exists to prevent. + """ + + OPERATOR_SINK = ("https://cloud.langfuse.com/api/public/otel/v1/traces", (("authorization", "Basic op"),)) + #: What a tenant destination for that same project looks like before normalizing: + #: no signal path yet, and the header name cased the way the backend writes it. + SAME_ACCOUNT_ENDPOINT = "https://cloud.langfuse.com/api/public/otel" + + @staticmethod + def _additive(monkeypatch): + monkeypatch.setattr(litellm, "otel_tenant_destination_mode", "additive", raising=False) + + @staticmethod + def _tree(provider): + tracer = get_tracer(provider, "litellm") + with tracer.start_as_current_span("POST /v1/chat/completions"): + with tracer.start_as_current_span("auth /v1/chat/completions"): + pass + with tracer.start_as_current_span("chat gpt-4"): + pass + + def _run(self, provider, destinations=(LANGFUSE_DEST,)): + def run(): + set_request_destinations(destinations) + self._tree(provider) + + in_fresh_context(run) + + def test_global_only_keeps_every_span_and_delivers_to_nobody(self): + """No team destination resolved, so the operator's backbone is untouched.""" + global_exporter, dest_exporter = InMemorySpanExporter(), InMemorySpanExporter() + provider = wired_provider(dest_exporter, global_exporter) + + self._run(provider, destinations=()) + + assert len(global_exporter.get_finished_spans()) == 3 + assert dest_exporter.get_finished_spans() == () + + def test_team_only_gets_the_whole_tree_with_no_operator_exporter(self): + """A deployment with no operator credentials still gives the team its trace.""" + dest_exporter = InMemorySpanExporter() + provider = TracerProvider() + provider.add_span_processor( + TenantFanOutSpanProcessor(processor_factory=lambda _d: SimpleSpanProcessor(dest_exporter)) + ) + + self._run(provider) + + assert {s.name for s in dest_exporter.get_finished_spans()} == { + "POST /v1/chat/completions", + "auth /v1/chat/completions", + "chat gpt-4", + } + + def test_additive_gives_the_operator_and_the_team_the_same_tree(self, monkeypatch): + self._additive(monkeypatch) + global_exporter, dest_exporter = InMemorySpanExporter(), InMemorySpanExporter() + provider = wired_provider(dest_exporter, global_exporter) + + self._run(provider) + + names = {"POST /v1/chat/completions", "auth /v1/chat/completions", "chat gpt-4"} + assert {s.name for s in global_exporter.get_finished_spans()} == names + assert {s.name for s in dest_exporter.get_finished_spans()} == names + assert len(global_exporter.get_finished_spans()) == 3, "the operator must not get a span twice" + + def test_override_moves_the_tree_off_the_operator(self): + """The default, unchanged: the tenant's traffic reaches the tenant and nowhere else.""" + global_exporter, dest_exporter = InMemorySpanExporter(), InMemorySpanExporter() + provider = wired_provider(dest_exporter, global_exporter) + + self._run(provider) + + assert global_exporter.get_finished_spans() == () + assert len(dest_exporter.get_finished_spans()) == 3 + + def test_a_team_naming_the_operators_own_project_is_written_once(self, monkeypatch): + """Fanning out to two accounts is the point. Writing the same account twice + is a duplicate the operator would see in their own project.""" + self._additive(monkeypatch) + shared = InMemorySpanExporter() + same = OtelDestination( + endpoint=self.SAME_ACCOUNT_ENDPOINT, + headers=MappingProxyType({"Authorization": "Basic op"}), + callback_name="langfuse_otel", + ) + provider = TracerProvider() + provider.add_span_processor(_OverriddenBackendFilter(SimpleSpanProcessor(shared), "langfuse_otel")) + provider.add_span_processor( + TenantFanOutSpanProcessor( + processor_factory=lambda _d: SimpleSpanProcessor(shared), + operator_sinks=frozenset({self.OPERATOR_SINK}), + ) + ) + + self._run(provider, destinations=(same,)) + + assert len(shared.get_finished_spans()) == 3, "the same account received the trace twice" + + def test_in_override_a_team_naming_the_operators_project_still_gets_the_trace(self): + """Override suppresses the operator's own exporter, so the fan-out is the only + thing left delivering. Skipping it on a matching account leaves the team with + nothing at all.""" + shared = InMemorySpanExporter() + same = OtelDestination( + endpoint=self.SAME_ACCOUNT_ENDPOINT, + headers=MappingProxyType({"Authorization": "Basic op"}), + callback_name="langfuse_otel", + ) + provider = TracerProvider() + provider.add_span_processor(_OverriddenBackendFilter(SimpleSpanProcessor(shared), "langfuse_otel")) + provider.add_span_processor( + TenantFanOutSpanProcessor( + processor_factory=lambda _d: SimpleSpanProcessor(shared), + operator_sinks=frozenset({self.OPERATOR_SINK}), + ) + ) + + self._run(provider, destinations=(same,)) + + assert len(shared.get_finished_spans()) == 3, "the team's own destination received nothing" + + def test_a_team_naming_a_different_project_still_gets_its_copy(self, monkeypatch): + """The dedup keys on the account, so a second project is still a second copy.""" + self._additive(monkeypatch) + global_exporter, dest_exporter = InMemorySpanExporter(), InMemorySpanExporter() + provider = TracerProvider() + provider.add_span_processor(_OverriddenBackendFilter(SimpleSpanProcessor(global_exporter), "langfuse_otel")) + provider.add_span_processor( + TenantFanOutSpanProcessor( + processor_factory=lambda _d: SimpleSpanProcessor(dest_exporter), + operator_sinks=frozenset({self.OPERATOR_SINK}), + ) + ) + + self._run(provider) + + assert len(global_exporter.get_finished_spans()) == 3 + assert len(dest_exporter.get_finished_spans()) == 3 + + @pytest.mark.parametrize("additive", [True, False]) + def test_a_failing_team_destination_leaves_the_operator_alone(self, monkeypatch, additive): + """A tenant collector that raises on every span must not cost the operator + its own telemetry, nor take the request down with it.""" + if additive: + self._additive(monkeypatch) + global_exporter, arize_exporter = InMemorySpanExporter(), InMemorySpanExporter() + + class Exploding(SimpleSpanProcessor): + def on_end(self, span): + raise RuntimeError("tenant collector is down") + + provider = TracerProvider() + provider.add_span_processor(_OverriddenBackendFilter(SimpleSpanProcessor(global_exporter), "langfuse_otel")) + provider.add_span_processor(_OverriddenBackendFilter(SimpleSpanProcessor(arize_exporter), "arize")) + provider.add_span_processor( + TenantFanOutSpanProcessor(processor_factory=lambda _d: Exploding(InMemorySpanExporter())) + ) + + self._run(provider) + + assert len(arize_exporter.get_finished_spans()) == 3, "an unrelated backend lost spans" + assert len(global_exporter.get_finished_spans()) == (3 if additive else 0) + + def test_the_env_var_turns_additive_on_without_a_config_file(self, monkeypatch): + monkeypatch.setattr(litellm, "otel_tenant_destination_mode", None, raising=False) + monkeypatch.setenv("LITELLM_OTEL_TENANT_DESTINATION_MODE", "Additive") + global_exporter, dest_exporter = InMemorySpanExporter(), InMemorySpanExporter() + provider = wired_provider(dest_exporter, global_exporter) + + self._run(provider) + + assert len(global_exporter.get_finished_spans()) == 3 + assert len(dest_exporter.get_finished_spans()) == 3 + + def test_an_unrecognized_mode_stays_on_override(self, monkeypatch): + monkeypatch.setattr(litellm, "otel_tenant_destination_mode", "both", raising=False) + global_exporter, dest_exporter = InMemorySpanExporter(), InMemorySpanExporter() + provider = wired_provider(dest_exporter, global_exporter) + + self._run(provider) + + assert global_exporter.get_finished_spans() == () + + def test_operator_sink_keys_skips_an_exporter_with_no_endpoint_of_its_own(self): + """Such an exporter resolves its endpoint from the environment at export + time, so it has no identity to compare a destination against.""" + config = OpenTelemetryV2Config( + exporters=( + ExporterSpec(kind="otlp_http", endpoint=self.OPERATOR_SINK[0], headers="authorization=Basic op"), + ExporterSpec(kind="otlp_http", endpoint=None, headers="authorization=Basic other"), + ) + ) + + assert operator_sink_keys(config) == frozenset({self.OPERATOR_SINK}) + + def test_operator_sink_keys_skips_exporters_that_never_reach_the_wire(self): + """A console kind ignores the endpoint and a header-gated spec with no + credentials is dropped when the provider is built, so treating either as an + account the operator writes to would silently withhold a team's own spans + under additive.""" + config = OpenTelemetryV2Config( + exporters=( + ExporterSpec(kind="otlp_http", endpoint=self.OPERATOR_SINK[0], headers="authorization=Basic op"), + ExporterSpec(kind="console", endpoint="http://team.local/v1/traces"), + ExporterSpec(kind="otlp_http", endpoint="http://gated.local/v1/traces", requires_headers=True), + ) + ) + + assert operator_sink_keys(config) == frozenset({self.OPERATOR_SINK}) + + def test_operator_sink_keys_spans_every_config_it_is_handed(self): + first = OpenTelemetryV2Config( + exporters=( + ExporterSpec( + kind="otlp_http", + endpoint=self.OPERATOR_SINK[0], + headers="authorization=Basic op", + ), + ) + ) + second = OpenTelemetryV2Config( + exporters=( + ExporterSpec( + kind="otlp_http", + endpoint="https://otlp.arize.com/v1/traces", + headers="space_id=s,api_key=k", + ), + ) + ) + + assert operator_sink_keys(first, second) == { + self.OPERATOR_SINK, + _sink_key("https://otlp.arize.com/v1/traces", {"space_id": "s", "api_key": "k"}), + } + + def test_a_team_pointing_at_a_credential_less_operator_exporter_still_gets_its_spans(self, monkeypatch): + """Under additive the fan-out skips a destination the operator already writes + to. An exporter the provider never built writes nothing, so skipping it would + cost the team every span.""" + monkeypatch.setenv("LITELLM_OTEL_TENANT_DESTINATION_MODE", "additive") + gated_endpoint = "http://gated.local/v1/traces" + destination = OtelDestination(endpoint=gated_endpoint, callback_name="newrelic") + config = OpenTelemetryV2Config( + exporters=(ExporterSpec(kind="otlp_http", endpoint=gated_endpoint, requires_headers=True),) + ) + dest_exporter = InMemorySpanExporter() + provider = TracerProvider() + provider.add_span_processor( + TenantFanOutSpanProcessor( + processor_factory=lambda _d: SimpleSpanProcessor(dest_exporter), + operator_sinks=operator_sink_keys(config), + ) + ) + + def run(): + set_request_destinations((destination,)) + emit(provider) + + in_fresh_context(run) + + assert [s.name for s in dest_exporter.get_finished_spans()] == ["chat gpt-4"] + + def test_the_operators_own_langfuse_and_a_team_naming_it_are_one_account(self, monkeypatch): + """The two sides are built by different code that writes the endpoint and the + header names differently, so comparing them raw silently never matches.""" + monkeypatch.setenv("LANGFUSE_HOST", "https://lf.internal") + monkeypatch.setenv("LANGFUSE_PUBLIC_KEY", "pk-op") + monkeypatch.setenv("LANGFUSE_SECRET_KEY", "sk-op") + monkeypatch.setattr(litellm, "provider_url_destination_allowed_hosts", ["lf.internal"], raising=False) + operator = operator_sink_keys(langfuse_preset()) + + def sink(public_key, secret_key): + destination = destination_for( + "langfuse_otel", + StandardCallbackDynamicParams( + langfuse_public_key=public_key, + langfuse_secret_key=secret_key, + langfuse_host="https://lf.internal", + ), + ) + assert destination is not None + return _sink_key(destination.endpoint, destination.headers) + + assert sink("pk-op", "sk-op") in operator, "a team naming the operator's own project" + assert sink("pk-team", "sk-team") not in operator, "a different project on the same server" + + def test_two_accounts_holding_the_same_strings_in_different_roles_are_not_one(self): + """The values alone are not the identity. Two accounts can hold the same pair + of strings with the space id and the api key the other way round, and folding + them together would leave the second one's team with no trace at all.""" + endpoint = "https://otlp.arize.com/v1" + + assert _sink_key(endpoint, {"space_id": "a", "api_key": "b"}) != _sink_key( + endpoint, {"space_id": "b", "api_key": "a"} + ) + + def test_the_operators_own_arize_space_and_a_team_naming_it_are_one_account(self, monkeypatch): + """One account answers to two header names here: the operator's exporter sends + ``space_id`` and a team destination sends ``arize-space-id``. Keyed on the names, + additive would write the operator's own space twice for every request.""" + monkeypatch.setenv("ARIZE_SPACE_ID", "space-op") + monkeypatch.setenv("ARIZE_API_KEY", "key-op") + monkeypatch.delenv("ARIZE_SPACE_KEY", raising=False) + operator = operator_sink_keys(arize_preset()) + + def sink(space, api_key): + destination = destination_for( + "arize", + StandardCallbackDynamicParams(arize_space_key=space, arize_api_key=api_key), + ) + assert destination is not None + return _sink_key(destination.endpoint, destination.headers) + + assert sink("space-op", "key-op") in operator, "a team naming the operator's own space" + assert sink("space-team", "key-team") not in operator, "a different Arize space" + + +class TestFanOut: + def test_every_span_of_the_request_reaches_the_destination_in_one_trace(self): + """The whole tree, gen-AI span included, parented as the operator would see it.""" + dest_exporter = InMemorySpanExporter() + provider = TracerProvider() + provider.add_span_processor( + TenantFanOutSpanProcessor(processor_factory=lambda _d: SimpleSpanProcessor(dest_exporter)) + ) + tracer = get_tracer(provider, "litellm") + + def run(): + set_request_destinations((LANGFUSE_DEST,)) + with tracer.start_as_current_span("POST /v1/chat/completions"): + with tracer.start_as_current_span("auth /v1/chat/completions"): + pass + with tracer.start_as_current_span("chat gpt-4"): + pass + + in_fresh_context(run) + + spans = dest_exporter.get_finished_spans() + by_name = {s.name: s for s in spans} + assert set(by_name) == {"POST /v1/chat/completions", "auth /v1/chat/completions", "chat gpt-4"} + root = by_name["POST /v1/chat/completions"] + assert len({s.context.trace_id for s in spans}) == 1, "the tenant must receive one connected trace" + for child in ("auth /v1/chat/completions", "chat gpt-4"): + assert by_name[child].parent.span_id == root.context.span_id + + def test_a_team_naming_two_backends_gets_the_trace_at_both(self): + """The fan-out rides one provider, so it cannot skip a destination on the + grounds that some other backend owns it: nothing else would deliver it.""" + langfuse, arize = InMemorySpanExporter(), InMemorySpanExporter() + by_endpoint = {"http://a.local": langfuse, "http://b.local": arize} + provider = TracerProvider() + provider.add_span_processor( + TenantFanOutSpanProcessor(processor_factory=lambda d: SimpleSpanProcessor(by_endpoint[d.endpoint])) + ) + + def run(): + set_request_destinations( + ( + OtelDestination(endpoint="http://a.local", callback_name="langfuse_otel"), + OtelDestination(endpoint="http://b.local", callback_name="arize"), + ) + ) + emit(provider) + + in_fresh_context(run) + + assert [s.name for s in langfuse.get_finished_spans()] == ["chat gpt-4"] + assert [s.name for s in arize.get_finished_spans()] == ["chat gpt-4"] + + def test_a_destination_carries_the_tenants_service_name(self): + """An overridden backend skips per-request tracer routing, so the service name + that route used to apply has to travel on the destination instead.""" + dest = InMemorySpanExporter() + provider = TracerProvider() + provider.add_span_processor(TenantFanOutSpanProcessor(processor_factory=lambda _d: SimpleSpanProcessor(dest))) + + def run(): + set_request_destinations( + ( + OtelDestination( + endpoint="http://a.local", + callback_name="langfuse_otel", + resource_attributes={"service.name": "team-checkout"}, + ), + ) + ) + emit(provider) + + in_fresh_context(run) + + assert {s.resource.attributes["service.name"] for s in dest.get_finished_spans()} == {"team-checkout"} + + def test_the_operators_database_endpoint_does_not_ride_along_to_the_tenant(self): + """A database span describes the proxy's own Postgres, so the tenant gets the + span and its timing without the host, the port, the schema or the error text + that names them. The operator's own copy keeps everything.""" + dest_exporter, operator_exporter = InMemorySpanExporter(), InMemorySpanExporter() + provider = TracerProvider() + provider.add_span_processor(SimpleSpanProcessor(operator_exporter)) + provider.add_span_processor( + TenantFanOutSpanProcessor(processor_factory=lambda _d: SimpleSpanProcessor(dest_exporter)) + ) + tracer = get_tracer(provider, "litellm") + unreachable = "Can't reach database server at db.internal.example:15400" + + def run(): + set_request_destinations((LANGFUSE_DEST,)) + with tracer.start_as_current_span("postgres get_data") as db_span: + db_span.set_attributes( + { + "db.system.name": "postgresql", + "db.system": "postgresql", + "db.operation.name": "get_data", + "server.address": "db.internal.example", + "server.port": 15400, + "db.namespace": "litellm", + "error.type": "PrismaError", + "error.message": unreachable, + "error": unreachable, + "litellm.provider.error.stack_trace": f"Traceback: {unreachable}", + } + ) + db_span.add_event("exception", {"exception.message": unreachable}) + db_span.set_status(Status(StatusCode.ERROR, unreachable)) + with tracer.start_as_current_span("chat claude-haiku") as llm_span: + llm_span.set_attribute("server.address", "api.anthropic.com") + + in_fresh_context(run) + + tenant = {s.name: s for s in dest_exporter.get_finished_spans()} + operator = {s.name: s for s in operator_exporter.get_finished_spans()} + assert set(tenant) == {"postgres get_data", "chat claude-haiku"}, "the tenant keeps the whole tree" + tenant_db = tenant["postgres get_data"] + assert dict(tenant_db.attributes) == { + "db.system.name": "postgresql", + "db.system": "postgresql", + "db.operation.name": "get_data", + "error.type": "PrismaError", + } + assert list(tenant_db.events) == [] + assert tenant_db.status.status_code is StatusCode.ERROR, "the tenant still sees that the call failed" + assert tenant_db.status.description is None + assert "db.internal.example" not in tenant_db.to_json() + assert tenant["chat claude-haiku"].attributes["server.address"] == "api.anthropic.com", ( + "only the operator's datastore is redacted, never the model endpoint" + ) + operator_db = operator["postgres get_data"] + assert operator_db.attributes["server.address"] == "db.internal.example" + assert operator_db.attributes["server.port"] == 15400 + assert operator_db.attributes["db.namespace"] == "litellm" + assert operator_db.attributes["error.message"] == unreachable + assert operator_db.attributes["error"] == unreachable + assert operator_db.status.description == unreachable + assert [event.name for event in operator_db.events] == ["exception"] + + @pytest.mark.parametrize("failure_status", ["guardrail_failed_to_respond", "failure"]) + def test_a_guardrails_failure_text_does_not_ride_along_to_the_tenant(self, failure_status): + dest_exporter, operator_exporter = InMemorySpanExporter(), InMemorySpanExporter() + provider = TracerProvider() + provider.add_span_processor(SimpleSpanProcessor(operator_exporter)) + provider.add_span_processor( + TenantFanOutSpanProcessor(processor_factory=lambda _d: SimpleSpanProcessor(dest_exporter)) + ) + tracer = get_tracer(provider, "litellm") + unreachable = "Cannot connect to host guardrail.internal.example:9000" + verdict = '{"action": "block", "categories": ["pii"]}' + + def run(): + set_request_destinations((LANGFUSE_DEST,)) + with tracer.start_as_current_span("POST /v1/chat/completions"): + with tracer.start_as_current_span("execute_guardrail pii") as down: + down.set_attributes( + { + "litellm.guardrail.name": "pii", + "litellm.guardrail.status": failure_status, + "litellm.guardrail.response": unreachable, + } + ) + with tracer.start_as_current_span("execute_guardrail toxicity") as up: + up.set_attributes( + { + "litellm.guardrail.name": "toxicity", + "litellm.guardrail.status": "guardrail_intervened", + "litellm.guardrail.response": verdict, + } + ) + + in_fresh_context(run) + + tenant = {s.name: s for s in dest_exporter.get_finished_spans()} + operator = {s.name: s for s in operator_exporter.get_finished_spans()} + assert dict(tenant["execute_guardrail pii"].attributes) == { + "litellm.guardrail.name": "pii", + "litellm.guardrail.status": failure_status, + } + assert "guardrail.internal.example" not in tenant["execute_guardrail pii"].to_json() + assert tenant["execute_guardrail toxicity"].attributes["litellm.guardrail.response"] == verdict + assert operator["execute_guardrail pii"].attributes["litellm.guardrail.response"] == unreachable + + def test_the_callers_key_in_the_query_string_does_not_ride_along_to_the_tenant(self): + """A Google AI Studio style request authenticates with ``?key=``, + and the instrumentor stamps the full request URL on the server span. The + tenant keeps the URL up to the query string, and the operator's copy keeps it + whole.""" + dest_exporter, operator_exporter = InMemorySpanExporter(), InMemorySpanExporter() + provider = TracerProvider() + provider.add_span_processor(SimpleSpanProcessor(operator_exporter)) + provider.add_span_processor( + TenantFanOutSpanProcessor(processor_factory=lambda _d: SimpleSpanProcessor(dest_exporter)) + ) + tracer = get_tracer(provider, "litellm") + path = "/v1beta/models/gemini-2.5-flash:generateContent" + query = "key=sk-another-members-virtual-key&alt=sse" + + def run(): + set_request_destinations((LANGFUSE_DEST,)) + with tracer.start_as_current_span(f"POST {path}") as server_span: + server_span.set_attributes( + { + "http.method": "POST", + "http.route": path, + "http.target": f"{path}?{query}", + "http.url": f"http://proxy.example:4000{path}?{query}", + "url.path": path, + "url.query": query, + "http.status_code": 200, + } + ) + with tracer.start_as_current_span("generate_content gemini-2.5-flash") as llm_span: + llm_span.set_attributes( + { + "gen_ai.operation.name": "generate_content", + "url.full": f"https://generativelanguage.googleapis.com{path}?key=AIza-operator-provider-key", + } + ) + + in_fresh_context(run) + + tenant = {s.name: s for s in dest_exporter.get_finished_spans()} + assert dict(tenant[f"POST {path}"].attributes) == { + "http.method": "POST", + "http.route": path, + "http.target": path, + "http.url": f"http://proxy.example:4000{path}", + "url.path": path, + "http.status_code": 200, + } + assert "sk-another-members-virtual-key" not in tenant[f"POST {path}"].to_json() + assert tenant["generate_content gemini-2.5-flash"].attributes["url.full"] == ( + f"https://generativelanguage.googleapis.com{path}" + ), "the tenant's own span keeps its error text, and still loses a query string" + operator = {s.name: s for s in operator_exporter.get_finished_spans()} + assert operator[f"POST {path}"].attributes["http.url"] == f"http://proxy.example:4000{path}?{query}" + assert operator[f"POST {path}"].attributes["url.query"] == query + assert "AIza-operator-provider-key" in operator["generate_content gemini-2.5-flash"].to_json() + + def test_captured_request_headers_do_not_ride_along_to_the_tenant(self): + """With ``OTEL_INSTRUMENTATION_HTTP_CAPTURE_HEADERS_SERVER_REQUEST`` set, the + server span carries the caller's bearer token. A team admin's collector must + not receive it, while the operator's own copy keeps it and the tenant keeps the + rest of the span.""" + dest_exporter, operator_exporter = InMemorySpanExporter(), InMemorySpanExporter() + provider = TracerProvider() + provider.add_span_processor(SimpleSpanProcessor(operator_exporter)) + provider.add_span_processor( + TenantFanOutSpanProcessor(processor_factory=lambda _d: SimpleSpanProcessor(dest_exporter)) + ) + tracer = get_tracer(provider, "litellm") + bearer = "Bearer sk-another-members-virtual-key" + + def run(): + set_request_destinations((LANGFUSE_DEST,)) + with tracer.start_as_current_span("POST /v1/chat/completions") as server_span: + server_span.set_attributes( + { + "http.request.method": "POST", + "http.route": "/v1/chat/completions", + "http.request.header.authorization": (bearer,), + "http.request.header.x_litellm_api_key": (bearer,), + "http.response.header.set_cookie": ("session=abc",), + } + ) + server_span.set_status(Status(StatusCode.ERROR)) + + in_fresh_context(run) + + tenant = dest_exporter.get_finished_spans()[0] + assert dict(tenant.attributes) == {"http.request.method": "POST", "http.route": "/v1/chat/completions"} + assert bearer not in tenant.to_json() + assert tenant.status.status_code is StatusCode.ERROR + operator = operator_exporter.get_finished_spans()[0] + assert operator.attributes["http.request.header.authorization"] == (bearer,) + assert operator.attributes["http.response.header.set_cookie"] == ("session=abc",) + + def test_the_proxys_own_error_text_does_not_ride_along_to_the_tenant(self): + """Postgres failing during auth surfaces as a ``ProxyException`` whose message + quotes the Prisma error, so the auth span and the request root carry the + operator's database endpoint in ``error.message``, in the exception event and + in the status description. None of it is the tenant's, so it all comes off, + while the failure itself (its type, its code, its status) stays. The tenant's + own model call keeps its error text, less the stack trace that walks the + operator's install. The operator's copy keeps everything.""" + dest_exporter, operator_exporter = InMemorySpanExporter(), InMemorySpanExporter() + provider = TracerProvider() + provider.add_span_processor(SimpleSpanProcessor(operator_exporter)) + provider.add_span_processor( + TenantFanOutSpanProcessor(processor_factory=lambda _d: SimpleSpanProcessor(dest_exporter)) + ) + tracer = get_tracer(provider, "litellm") + unreachable = "Authentication Error, Can't reach database server at db.internal.example:15400" + install = "/srv/litellm/.venv/lib/python3.13/site-packages/opentelemetry/trace/__init__.py" + provider_error = "AnthropicException - invalid x-api-key" + + def fail(span, message: str) -> None: + span.set_attributes( + { + "error.type": "ProxyException", + "error.message": message, + "litellm.provider.error.code": "500", + "litellm.provider.error.stack_trace": f"Traceback\n File {install}\n{message}", + } + ) + span.add_event( + "exception", + {"exception.type": "ProxyException", "exception.message": message, "exception.stacktrace": install}, + ) + span.set_status(Status(StatusCode.ERROR, message)) + + def run(): + set_request_destinations((LANGFUSE_DEST,)) + with tracer.start_as_current_span("POST /v1/chat/completions") as root: + with tracer.start_as_current_span("auth /v1/chat/completions") as auth: + fail(auth, unreachable) + with tracer.start_as_current_span("chat claude-haiku") as llm: + llm.set_attribute("gen_ai.operation.name", "chat") + fail(llm, provider_error) + fail(root, unreachable) + + in_fresh_context(run) + + tenant = {s.name: s for s in dest_exporter.get_finished_spans()} + operator = {s.name: s for s in operator_exporter.get_finished_spans()} + assert set(tenant) == {"POST /v1/chat/completions", "auth /v1/chat/completions", "chat claude-haiku"} + for name in ("POST /v1/chat/completions", "auth /v1/chat/completions"): + proxy_span = tenant[name] + assert dict(proxy_span.attributes) == {"error.type": "ProxyException", "litellm.provider.error.code": "500"} + assert list(proxy_span.events) == [] + assert proxy_span.status.status_code is StatusCode.ERROR + assert proxy_span.status.description is None + assert "db.internal.example" not in proxy_span.to_json() + assert install not in proxy_span.to_json() + llm_span = tenant["chat claude-haiku"] + assert llm_span.attributes["error.message"] == provider_error, "the tenant's own call keeps its error text" + assert "litellm.provider.error.stack_trace" not in llm_span.attributes + assert llm_span.status.description == provider_error + assert [dict(event.attributes) for event in llm_span.events] == [ + {"exception.type": "ProxyException", "exception.message": provider_error} + ] + assert install not in llm_span.to_json() + for name, message in (("auth /v1/chat/completions", unreachable), ("chat claude-haiku", provider_error)): + assert operator[name].attributes["error.message"] == message + assert install in operator[name].attributes["litellm.provider.error.stack_trace"] + assert operator[name].events[0].attributes["exception.stacktrace"] == install + assert operator[name].status.description == message + + def test_a_tenants_service_name_is_layered_onto_the_operators_resource(self): + """The destination's ``service.name`` replaces the operator's on the tenant's + copy and every other resource attribute travels unchanged. Nothing is detected + afresh per span, so no attribute the operator did not configure appears.""" + dest = InMemorySpanExporter() + provider = TracerProvider( + resource=Resource({"service.name": "litellm-proxy", "deployment.environment.name": "prod"}) + ) + provider.add_span_processor(TenantFanOutSpanProcessor(processor_factory=lambda _d: SimpleSpanProcessor(dest))) + + def run(): + set_request_destinations( + ( + OtelDestination( + endpoint="http://a.local", + callback_name="langfuse_otel", + resource_attributes={"service.name": "team-checkout"}, + ), + ) + ) + emit(provider) + + in_fresh_context(run) + + (span,) = dest.get_finished_spans() + assert dict(span.resource.attributes) == { + "service.name": "team-checkout", + "deployment.environment.name": "prod", + } + + def test_a_destination_that_cannot_build_a_processor_is_skipped_quietly(self): + """An unbuildable destination must not cost the caller its request.""" + attempts = [] + reached_the_end = [] + + def factory(destination): + attempts.append(destination.endpoint) + + provider = TracerProvider() + provider.add_span_processor(TenantFanOutSpanProcessor(processor_factory=factory)) + + def run(): + set_request_destinations((LANGFUSE_DEST,)) + emit(provider) + reached_the_end.append(True) + + in_fresh_context(run) + + assert attempts == [LANGFUSE_DEST.endpoint] + assert reached_the_end == [True] + + def test_an_unbuildable_destination_leaves_the_span_with_the_operator(self): + """Anchoring the destination is what makes the operator's exporter stand down + for the backend, so a destination nothing can deliver to must never be anchored, + or the span reaches neither account.""" + global_exporter = InMemorySpanExporter() + provider = TracerProvider() + provider.add_span_processor(_OverriddenBackendFilter(SimpleSpanProcessor(global_exporter), "langfuse_otel")) + provider.add_span_processor(TenantFanOutSpanProcessor(processor_factory=lambda _d: None)) + + def run(): + set_request_destinations(deliverable_destinations((LANGFUSE_DEST,), provider)) + emit(provider) + return request_destinations() + + anchored = in_fresh_context(run) + + assert anchored == () + assert [s.name for s in global_exporter.get_finished_spans()] == ["chat gpt-4"] + + def test_a_buildable_destination_is_still_anchored_and_still_overrides(self): + global_exporter, dest_exporter = InMemorySpanExporter(), InMemorySpanExporter() + provider = wired_provider(dest_exporter, global_exporter) + + def run(): + set_request_destinations(deliverable_destinations((LANGFUSE_DEST,), provider)) + emit(provider) + return request_destinations() + + anchored = in_fresh_context(run) + + assert anchored == (LANGFUSE_DEST,) + assert global_exporter.get_finished_spans() == () + assert [s.name for s in dest_exporter.get_finished_spans()] == ["chat gpt-4"] + + def test_only_the_unbuildable_destination_is_dropped_from_a_mixed_set(self): + dest_exporter = InMemorySpanExporter() + other = LANGFUSE_DEST.model_copy(update={"endpoint": "http://broken.local/otel"}) + fan_out = TenantFanOutSpanProcessor( + processor_factory=lambda d: None if d.endpoint == other.endpoint else SimpleSpanProcessor(dest_exporter) + ) + + assert fan_out.deliverable((other, LANGFUSE_DEST)) == (LANGFUSE_DEST,) + + def test_no_fan_out_means_nothing_is_anchored(self): + """With nothing to carry the spans to the tenant, anchoring would only stop the + operator's exporter from writing them.""" + provider = TracerProvider() + + assert deliverable_destinations((LANGFUSE_DEST,), provider) == () + + def test_a_protocol_with_no_otlp_transport_is_not_deliverable(self): + """An unknown exporter kind falls back to the console exporter, which ignores the + tenant's credentials and prints its spans to the proxy's stdout. Treating that as + deliverable would stand the operator's exporter down for spans nobody stores.""" + typo = LANGFUSE_DEST.model_copy(update={"protocol": "consle"}) + fan_out = TenantFanOutSpanProcessor() + try: + assert fan_out.deliverable((typo, LANGFUSE_DEST)) == (LANGFUSE_DEST,) + finally: + fan_out.shutdown() + + def test_a_closed_fan_out_anchors_nothing(self): + fan_out = TenantFanOutSpanProcessor(processor_factory=lambda _d: SimpleSpanProcessor(InMemorySpanExporter())) + provider = TracerProvider() + provider.add_span_processor(fan_out) + fan_out.shutdown() + + assert deliverable_destinations((LANGFUSE_DEST,), provider) == () + + def test_the_processor_built_to_check_deliverability_is_the_one_that_exports(self): + built = [] + + def factory(_destination): + built.append(SimpleSpanProcessor(InMemorySpanExporter())) + return built[-1] + + provider = TracerProvider() + provider.add_span_processor(TenantFanOutSpanProcessor(processor_factory=factory)) + + def run(): + set_request_destinations(deliverable_destinations((LANGFUSE_DEST,), provider)) + emit(provider) + + in_fresh_context(run) + + assert len(built) == 1 + + def test_one_processor_is_reused_across_spans_of_the_same_destination(self): + built = [] + + def factory(_destination): + processor = SimpleSpanProcessor(InMemorySpanExporter()) + built.append(processor) + return processor + + provider = TracerProvider() + provider.add_span_processor(TenantFanOutSpanProcessor(processor_factory=factory)) + + def run(): + set_request_destinations((LANGFUSE_DEST,)) + emit(provider, "one") + emit(provider, "two") + + in_fresh_context(run) + + assert len(built) == 1 + + +class TestProviderWiring: + def test_build_tracer_provider_only_filters_when_asked(self): + config = OpenTelemetryV2Config(exporters=[ExporterSpec(kind="in_memory", owner=ExporterOwner.LANGFUSE_OTEL)]) + operator = build_tracer_provider(config, tenant_overrides=True) + tenant = build_tracer_provider(config) + + def kinds(provider): + return [type(p).__name__ for p in provider._active_span_processor._span_processors] + + assert "_OverriddenBackendFilter" in kinds(operator) + assert "_OverriddenBackendFilter" not in kinds(tenant), "a per-tenant provider must not filter itself out" + assert "TenantFanOutSpanProcessor" not in kinds(operator), "delivery belongs to the published global alone" + assert "TenantFanOutSpanProcessor" not in kinds(tenant) + + def test_only_the_published_global_provider_delivers_to_tenants(self): + """A second v2 logger's provider never sees the server, auth or database spans, + so fanning out from it would hand the tenant a one-span trace. Publishing is + what picks the one provider the whole request tree passes through.""" + config = OpenTelemetryV2Config(exporters=[ExporterSpec(kind="in_memory", owner=ExporterOwner.ARIZE_AX)]) + published, other = OpenTelemetryV2(config=config, callback_name="arize"), OpenTelemetryV2(config=config) + + publish_global_otel_v2_provider([other], lambda _p: None, registered=published) + + def kinds(logger): + return [type(p).__name__ for p in logger._tracer_provider._active_span_processor._span_processors] + + assert kinds(published).count("TenantFanOutSpanProcessor") == 1 + assert "TenantFanOutSpanProcessor" not in kinds(other) + + @pytest.mark.parametrize("canonical", ["langfuse_otel", "arize"]) + def test_publishing_tells_the_fan_out_about_every_v2_loggers_account(self, monkeypatch, canonical): + monkeypatch.setenv("LITELLM_OTEL_TENANT_DESTINATION_MODE", "additive") + shared = InMemorySpanExporter() + monkeypatch.setattr(otel_providers, "_destination_processor", lambda _d: SimpleSpanProcessor(shared)) + accounts = { + "langfuse_otel": ( + "https://cloud.langfuse.com/api/public/otel/v1/traces", + "authorization=Basic op", + ), + "arize": ( + "https://otlp.arize.com/v1/traces", + "space_id=space-op,api_key=key-op", + ), + } + loggers = { + name: OpenTelemetryV2( + config=OpenTelemetryV2Config( + exporters=(ExporterSpec(kind="otlp_http", endpoint=endpoint, headers=headers),) + ), + callback_name=name, + tracer_provider=TracerProvider(), + ) + for name, (endpoint, headers) in accounts.items() + } + other = "arize" if canonical == "langfuse_otel" else "langfuse_otel" + published = publish_global_otel_v2_provider( + [loggers[other]], + lambda _p: None, + registered=loggers[canonical], + ) + + def destination(name, headers): + return OtelDestination(endpoint=accounts[name][0], headers=headers, callback_name=name) + + def run(destinations): + set_request_destinations(destinations) + emit(published.tracer_provider) + + in_fresh_context(run, (destination(canonical, dict(pair.split("=") for pair in accounts[canonical][1].split(","))),)) + in_fresh_context(run, (destination(other, dict(pair.split("=") for pair in accounts[other][1].split(","))),)) + assert shared.get_finished_spans() == (), "an account the operator already writes to was written twice" + + in_fresh_context(run, (destination(other, {"authorization": "Basic team"}),)) + assert [s.name for s in shared.get_finished_spans()] == ["chat gpt-4"] + + def test_publishing_twice_does_not_double_export(self): + config = OpenTelemetryV2Config(exporters=[ExporterSpec(kind="in_memory", owner=ExporterOwner.ARIZE_AX)]) + logger = OpenTelemetryV2(config=config, callback_name="arize") + + publish_global_otel_v2_provider([], lambda _p: None, registered=logger) + publish_global_otel_v2_provider([], lambda _p: None, registered=logger) + + kinds = [type(p).__name__ for p in logger._tracer_provider._active_span_processor._span_processors] + assert kinds.count("TenantFanOutSpanProcessor") == 1 + + def test_anchoring_reads_the_fan_out_off_the_published_provider_not_the_otel_global(self, monkeypatch): + """``set_tracer_provider`` keeps the first provider it was handed. When + auto-instrumentation or a legacy logger claimed it before the proxy published, + the OTel global carries no fan-out, so reading it there would refuse every + destination the published provider delivers.""" + from litellm.proxy import proxy_server + + config = OpenTelemetryV2Config(exporters=[ExporterSpec(kind="in_memory", owner=ExporterOwner.LANGFUSE_OTEL)]) + logger = OpenTelemetryV2(config=config, callback_name="langfuse_otel") + publish_global_otel_v2_provider([], lambda _p: None, registered=logger) + monkeypatch.setattr(proxy_server, "open_telemetry_logger", logger) + claimed_first = TracerProvider() + + assert fan_out_provider() is logger.tracer_provider + assert deliverable_destinations((LANGFUSE_DEST,), claimed_first) == () + assert deliverable_destinations((LANGFUSE_DEST,), fan_out_provider()) == (LANGFUSE_DEST,) + + def test_a_legacy_v1_logger_holding_the_registered_slot_does_not_hide_the_fan_out(self, monkeypatch): + """The proxy publishes with ``registered=None`` when ``open_telemetry_logger`` + holds a v1 logger, so the fan-out lands on a v2 logger taken from + ``_in_memory_loggers``. Reading the registered slot finds no v2 logger there and + the OTel global belongs to v1, so both detours refuse every destination the + published provider delivers.""" + from litellm.integrations.opentelemetry import OpenTelemetry + from litellm.proxy import proxy_server + + config = OpenTelemetryV2Config(exporters=[ExporterSpec(kind="in_memory", owner=ExporterOwner.LANGFUSE_OTEL)]) + v2 = OpenTelemetryV2(config=config, callback_name="langfuse_otel") + publish_global_otel_v2_provider([v2], lambda _p: None, registered=None) + monkeypatch.setattr(proxy_server, "open_telemetry_logger", OpenTelemetry()) + + assert fan_out_provider() is v2.tracer_provider + assert deliverable_destinations((LANGFUSE_DEST,), fan_out_provider()) == (LANGFUSE_DEST,) + + def test_without_a_publish_anchoring_attaches_fan_out_to_registered_v2_logger(self, monkeypatch): + from litellm.proxy import proxy_server + + config = OpenTelemetryV2Config(exporters=[ExporterSpec(kind="in_memory", owner=ExporterOwner.LANGFUSE_OTEL)]) + logger = OpenTelemetryV2(config=config, callback_name="langfuse_otel") + monkeypatch.setattr(proxy_server, "open_telemetry_logger", logger) + + assert fan_out_provider() is logger.tracer_provider + assert deliverable_destinations((LANGFUSE_DEST,), fan_out_provider()) == (LANGFUSE_DEST,) + + def test_concurrent_anchoring_attaches_exactly_one_fan_out(self): + """Requests race to anchor when the startup publish never ran, and a fan-out + attached twice delivers every tenant span twice.""" + import threading + + from litellm.integrations.otel.plumbing.providers import attach_tenant_fan_out + + class SlowAttachProvider(TracerProvider): + def add_span_processor(self, span_processor): + time.sleep(0.05) + super().add_span_processor(span_processor) + + provider = SlowAttachProvider() + config = OpenTelemetryV2Config(exporters=[ExporterSpec(kind="in_memory", owner=ExporterOwner.LANGFUSE_OTEL)]) + barrier = threading.Barrier(8) + + def anchor(): + barrier.wait(timeout=10) + attach_tenant_fan_out(provider, config) + + threads = [threading.Thread(target=anchor) for _ in range(8)] + for thread in threads: + thread.start() + for thread in threads: + thread.join(timeout=10) + + kinds = [type(p).__name__ for p in provider._active_span_processor._span_processors] + assert kinds.count("TenantFanOutSpanProcessor") == 1, f"one fan-out per provider, got {kinds}" + + def test_without_a_publish_anchoring_falls_back_to_the_otel_global(self, monkeypatch): + from opentelemetry import trace + + from litellm.proxy import proxy_server + + monkeypatch.setattr(proxy_server, "open_telemetry_logger", None) + + assert fan_out_provider() is trace.get_tracer_provider() + + def test_auth_seeds_the_request_with_destinations_the_registered_logger_can_deliver( + self, monkeypatch, allow_test_hosts + ): + from litellm.proxy import proxy_server + from litellm.proxy.auth.user_api_key_auth import _seed_request_destinations + + monkeypatch.setenv("LITELLM_OTEL_V2", "true") + is_otel_v2_enabled.cache_clear() + config = OpenTelemetryV2Config(exporters=[ExporterSpec(kind="in_memory", owner=ExporterOwner.LANGFUSE_OTEL)]) + logger = OpenTelemetryV2(config=config, callback_name="langfuse_otel") + publish_global_otel_v2_provider([], lambda _p: None, registered=logger) + monkeypatch.setattr(proxy_server, "open_telemetry_logger", logger) + auth = UserAPIKeyAuth( + team_metadata={ + "logging": [ + { + "callback_name": "langfuse_otel", + "callback_type": "success", + "callback_vars": { + "langfuse_public_key": "pk-team", + "langfuse_secret_key": "sk-team", + "langfuse_host": "http://team.local", + }, + } + ] + } + ) + expected = resolve_tenant_otel_destinations(auth) + assert expected, "the fixture must resolve to a destination for the test to mean anything" + + def run(): + _seed_request_destinations(auth) + return request_destinations() + + assert deliverable_destinations(expected, TracerProvider()) == () + assert in_fresh_context(run) == expected + + +class TestRouting: + def test_an_overridden_backend_is_not_detached_onto_a_second_provider(self): + config = OpenTelemetryV2Config( + exporters=[ExporterSpec(kind="otlp_http", endpoint="http://op.local", owner=ExporterOwner.LANGFUSE_OTEL)] + ) + cache = TenantTracerCache(config, "langfuse_otel", "litellm") + default = get_tracer(TracerProvider(), "litellm") + params = {"langfuse_public_key": "pk", "langfuse_secret_key": "sk"} + + assert cache.route_for(default, params).detached is True + + def run(): + set_request_destinations((LANGFUSE_DEST,)) + return cache.route_for(default, params) + + route = in_fresh_context(run) + assert route.detached is False + assert route.tracer is default + assert route.provider is None + + def test_an_overridden_backend_does_not_detach_on_a_service_name_either(self): + """A key or team service name is its own reason to build a second provider, so + clearing only the credentials would still take the model call out of the tree.""" + config = OpenTelemetryV2Config( + exporters=[ExporterSpec(kind="otlp_http", endpoint="http://op.local", owner=ExporterOwner.LANGFUSE_OTEL)] + ) + cache = TenantTracerCache(config, "langfuse_otel", "litellm") + default = get_tracer(TracerProvider(), "litellm") + auth_metadata = {"otel_service_name": "team-checkout"} + + assert cache.route_for(default, None, auth_metadata).detached is False + assert cache.route_for(default, None, auth_metadata).tracer is not default + + def run(): + set_request_destinations((LANGFUSE_DEST,)) + return cache.route_for(default, None, auth_metadata) + + route = in_fresh_context(run) + assert route.tracer is default, "the fan-out carries the service name on the destination instead" + assert route.provider is None + + @pytest.mark.parametrize("callback_name", ["arize", None]) + def test_a_service_name_does_not_detach_a_backend_the_destination_does_not_name(self, callback_name): + """The fan-out only sees spans on the published provider, so relabelling this + logger's span onto a second provider would drop the model call out of the + trace another backend's destination receives.""" + config = OpenTelemetryV2Config( + exporters=[ExporterSpec(kind="otlp_http", endpoint="http://op.local", owner=ExporterOwner.ARIZE_AX)] + ) + cache = TenantTracerCache(config, callback_name, "litellm") + default = get_tracer(TracerProvider(), "litellm") + auth_metadata = {"otel_service_name": "team-checkout"} + + relabelled = cache.route_for(default, None, auth_metadata) + assert relabelled.tracer is not default + cache.release(relabelled.provider) + + def run(): + set_request_destinations((LANGFUSE_DEST,)) + return cache.route_for(default, None, auth_metadata) + + route = in_fresh_context(run) + assert route.tracer is default + assert route.detached is False + assert route.provider is None + + @pytest.mark.parametrize( + ("owner", "params", "auth_metadata"), + [ + (ExporterOwner.ARIZE_AX, {"arize_space_key": "space", "arize_api_key": "key"}, {}), + (ExporterOwner.ARIZE_PHOENIX, None, {"phoenix_project_name": "team-project"}), + ], + ) + def test_a_backend_pointed_at_its_own_account_still_routes_next_to_another_backend_destination( + self, owner, params, auth_metadata + ): + """Credentials or a project name the tenant's own account for this backend, which + the other backend's destination cannot stand in for.""" + config = OpenTelemetryV2Config( + exporters=[ExporterSpec(kind="otlp_http", endpoint="http://op.local", owner=owner)] + ) + cache = TenantTracerCache(config, owner.value, "litellm") + default = get_tracer(TracerProvider(), "litellm") + + def run(): + set_request_destinations((LANGFUSE_DEST,)) + return cache.route_for(default, params, {"otel_service_name": "team-checkout", **auth_metadata}) + + route = in_fresh_context(run) + assert route.tracer is not default + assert route.detached is True + cache.release(route.provider) + + +@pytest.mark.usefixtures("allow_test_hosts") +class TestDestinationResolution: + def test_a_langfuse_key_pair_and_host_become_a_destination(self, monkeypatch): + monkeypatch.setenv("LITELLM_OTEL_V2", "true") + is_otel_v2_enabled.cache_clear() + auth = UserAPIKeyAuth( + team_metadata={ + "logging": [ + { + "callback_name": "langfuse_otel", + "callback_type": "success", + "callback_vars": { + "langfuse_public_key": "pk-team", + "langfuse_secret_key": "sk-team", + "langfuse_host": "http://team.local", + }, + } + ] + } + ) + + destinations = resolve_tenant_otel_destinations(auth) + + assert [d.endpoint for d in destinations] == ["http://team.local/api/public/otel"] + assert destinations[0].callback_name == "langfuse_otel" + + def test_a_keys_service_name_outranks_its_teams_on_the_destination(self, monkeypatch): + """The key/team ``otel_service_name`` used to reach the backend through + per-request tracer routing, which an overridden backend skips.""" + monkeypatch.setenv("LITELLM_OTEL_V2", "true") + is_otel_v2_enabled.cache_clear() + auth = UserAPIKeyAuth( + metadata={"otel_service_name": "key-svc"}, + team_metadata={ + "otel_service_name": "team-svc", + "logging": [ + { + "callback_name": "langfuse_otel", + "callback_type": "success", + "callback_vars": { + "langfuse_public_key": "pk-team", + "langfuse_secret_key": "sk-team", + "langfuse_host": "http://team.local", + }, + } + ], + }, + ) + + destinations = resolve_tenant_otel_destinations(auth) + + assert dict(destinations[0].resource_attributes) == {"service.name": "key-svc"} + + def test_a_team_that_named_no_service_name_gets_no_resource_override(self, monkeypatch): + monkeypatch.setenv("LITELLM_OTEL_V2", "true") + is_otel_v2_enabled.cache_clear() + auth = UserAPIKeyAuth( + team_metadata={ + "otel_service_name": " ", + "logging": [ + { + "callback_name": "langfuse_otel", + "callback_type": "success", + "callback_vars": { + "langfuse_public_key": "pk-team", + "langfuse_secret_key": "sk-team", + "langfuse_host": "http://team.local", + }, + } + ], + } + ) + + destinations = resolve_tenant_otel_destinations(auth) + + assert dict(destinations[0].resource_attributes) == {} + + def test_the_key_wins_over_the_team_for_the_same_backend(self, monkeypatch): + monkeypatch.setenv("LITELLM_OTEL_V2", "true") + is_otel_v2_enabled.cache_clear() + + def entry(host: str) -> Mapping[str, object]: + return { + "callback_name": "langfuse_otel", + "callback_type": "success", + "callback_vars": { + "langfuse_public_key": "pk", + "langfuse_secret_key": "sk", + "langfuse_host": host, + }, + } + + auth = UserAPIKeyAuth( + metadata={"logging": [entry("http://key.local")]}, + team_metadata={"logging": [entry("http://team.local")]}, + ) + + assert [d.endpoint for d in resolve_tenant_otel_destinations(auth)] == ["http://key.local/api/public/otel"] + + def test_nothing_resolves_while_otel_v2_is_off(self, monkeypatch): + monkeypatch.delenv("LITELLM_OTEL_V2", raising=False) + is_otel_v2_enabled.cache_clear() + auth = UserAPIKeyAuth( + team_metadata={ + "logging": [ + { + "callback_name": "langfuse_otel", + "callback_type": "success", + "callback_vars": {"langfuse_public_key": "pk", "langfuse_secret_key": "sk"}, + } + ] + } + ) + + assert resolve_tenant_otel_destinations(auth) == () + + def test_a_host_without_its_key_pair_resolves_to_nothing(self): + assert destination_for("langfuse_otel", {"langfuse_host": "http://team.local"}) is None + + def test_a_backend_with_no_dynamic_credentials_has_no_destination(self): + assert "arize_phoenix" not in destination_capable_backends() + assert destination_for("arize_phoenix", {"arize_api_key": "k"}) is None + + def test_the_destination_header_string_survives_the_exporter_round_trip(self): + from litellm.integrations.otel.plumbing.providers import parse_headers + + destination = destination_for( + "langfuse_otel", + {"langfuse_public_key": "pk", "langfuse_secret_key": "sk", "langfuse_host": "http://x"}, + ) + assert parse_headers(destination.header_string())["authorization"] == destination.headers["Authorization"] + + +#: Anything that makes ``OpenTelemetryV2Config`` synthesize a real operator destination. +_OTEL_SHORTHAND_ENV = ( + "OTEL_ENDPOINT", + "OTEL_HEADERS", + "OTEL_EXPORTER", + "OTEL_EXPORTER_OTLP_ENDPOINT", + "OTEL_EXPORTER_OTLP_HEADERS", + "OTEL_EXPORTER_OTLP_PROTOCOL", +) + + +def credential_less_proxy(monkeypatch) -> None: + """An operator with no Langfuse account and no generic OTLP collector.""" + for name in ("LANGFUSE_PUBLIC_KEY", "LANGFUSE_SECRET_KEY", *_OTEL_SHORTHAND_ENV): + monkeypatch.delenv(name, raising=False) + with pytest.raises(ValueError, match="LANGFUSE_PUBLIC_KEY"): + langfuse_preset() + + +class TestPresetDegradation: + def test_a_credential_less_langfuse_exports_nowhere_instead_of_to_the_console(self, monkeypatch, capfd): + """``_normalize`` folds a console exporter in for an empty list, which would + print every span on a proxy whose teams bring their own credentials.""" + credential_less_proxy(monkeypatch) + + config = langfuse_preset(allow_missing_credentials=True) + provider = build_tracer_provider(config, tenant_overrides=True) + capfd.readouterr() + in_fresh_context(emit, provider) + provider.force_flush() + + assert '"name": "chat gpt-4"' not in capfd.readouterr().out + assert "langfuse" in config.mapper_names + + def test_langfuse_still_raises_for_a_global_callback_with_no_credentials(self, monkeypatch): + monkeypatch.delenv("LANGFUSE_PUBLIC_KEY", raising=False) + monkeypatch.delenv("LANGFUSE_SECRET_KEY", raising=False) + + with pytest.raises(ValueError, match="LANGFUSE_PUBLIC_KEY"): + langfuse_preset() + + def test_a_credential_less_proxy_builds_the_gated_logger_beside_a_v2_carrier(self, monkeypatch): + from litellm.litellm_core_utils.litellm_logging import _maybe_construct_otel_v2 + + credential_less_proxy(monkeypatch) + monkeypatch.setenv("LITELLM_OTEL_V2", "true") + carrier = build_otel_v2_logger(OpenTelemetryV2Config(exporter="in_memory")) + + def run(): + set_request_destinations((LANGFUSE_DEST,)) + return _maybe_construct_otel_v2("langfuse_otel", [carrier]) + + is_otel_v2_enabled.cache_clear() + logger = in_fresh_context(run) + is_otel_v2_enabled.cache_clear() + + assert logger is not None + assert all(spec.requires_headers and not spec.headers for spec in logger.config.exporters) + + def test_a_credential_less_proxy_with_no_destinations_falls_back_to_the_legacy_path(self, monkeypatch): + """Nothing can use a credential-less langfuse here, so the operator has to get + the same story as before v2: the legacy integration, not a global provider + that exports nowhere.""" + from litellm.litellm_core_utils.litellm_logging import _maybe_construct_otel_v2 + + credential_less_proxy(monkeypatch) + monkeypatch.setenv("LITELLM_OTEL_V2", "true") + + is_otel_v2_enabled.cache_clear() + logger = in_fresh_context(_maybe_construct_otel_v2, "langfuse_otel", []) + is_otel_v2_enabled.cache_clear() + + assert logger is None + + def test_a_valid_newrelic_base_exporter_survives_without_a_license_key(self, monkeypatch): + from litellm.litellm_core_utils.litellm_logging import _maybe_construct_otel_v2 + + monkeypatch.delenv("NEW_RELIC_LICENSE_KEY", raising=False) + monkeypatch.setenv("OTEL_EXPORTER_OTLP_ENDPOINT", "http://collector.local:4318") + monkeypatch.setenv("LITELLM_OTEL_V2", "true") + + is_otel_v2_enabled.cache_clear() + logger = in_fresh_context(_maybe_construct_otel_v2, "newrelic", []) + is_otel_v2_enabled.cache_clear() + + assert logger is not None + assert [spec.endpoint for spec in logger.config.exporters] == [ + "http://collector.local:4318", + "https://otlp.nr-data.net", + ] + + def test_a_credentialless_newrelic_without_a_base_exporter_falls_back(self, monkeypatch): + from litellm.litellm_core_utils.litellm_logging import _maybe_construct_otel_v2 + + monkeypatch.delenv("NEW_RELIC_LICENSE_KEY", raising=False) + for name in _OTEL_SHORTHAND_ENV: + monkeypatch.delenv(name, raising=False) + monkeypatch.setenv("LITELLM_OTEL_V2", "true") + + is_otel_v2_enabled.cache_clear() + logger = in_fresh_context(_maybe_construct_otel_v2, "newrelic", []) + is_otel_v2_enabled.cache_clear() + + assert logger is None + + def test_an_explicit_console_exporter_keeps_a_credentialless_preset_on_v2(self, monkeypatch, capfd): + """``OTEL_EXPORTER=console`` reads exactly like the placeholder ``_normalize`` + folds in, but the operator asked for it, so a credential-less New Relic keeps + the V2 logger and its spans reach stdout instead of the legacy path.""" + from litellm.litellm_core_utils.litellm_logging import _maybe_construct_otel_v2 + + monkeypatch.delenv("NEW_RELIC_LICENSE_KEY", raising=False) + for name in _OTEL_SHORTHAND_ENV: + monkeypatch.delenv(name, raising=False) + monkeypatch.setenv("OTEL_EXPORTER", "console") + monkeypatch.setenv("LITELLM_OTEL_V2", "true") + + is_otel_v2_enabled.cache_clear() + logger = in_fresh_context(_maybe_construct_otel_v2, "newrelic", []) + is_otel_v2_enabled.cache_clear() + + assert logger is not None + assert logger.config.exporters[0].kind == "console" + assert not logger.config.exporters[0].requires_headers + + def test_a_destination_for_one_backend_does_not_degrade_another(self, monkeypatch): + from litellm.litellm_core_utils.litellm_logging import _maybe_construct_otel_v2 + + credential_less_proxy(monkeypatch) + monkeypatch.delenv("WANDB_API_KEY", raising=False) + monkeypatch.setenv("LITELLM_OTEL_V2", "true") + + def run(): + set_request_destinations((LANGFUSE_DEST,)) + return _maybe_construct_otel_v2("weave_otel", []) + + is_otel_v2_enabled.cache_clear() + logger = in_fresh_context(run) + is_otel_v2_enabled.cache_clear() + + assert logger is None + + def test_the_exporter_less_logger_is_not_reused_by_a_request_without_destinations(self, monkeypatch): + """Reusing it would let one team's destination decide how every later request + without one is logged, long after the degrade was justified.""" + from litellm.litellm_core_utils.litellm_logging import _maybe_construct_otel_v2 + + credential_less_proxy(monkeypatch) + monkeypatch.setenv("LITELLM_OTEL_V2", "true") + loggers = [build_otel_v2_logger(OpenTelemetryV2Config(exporter="in_memory"))] + + def with_destination(): + set_request_destinations((LANGFUSE_DEST,)) + return _maybe_construct_otel_v2("langfuse_otel", loggers) + + is_otel_v2_enabled.cache_clear() + degraded = in_fresh_context(with_destination) + plain = in_fresh_context(_maybe_construct_otel_v2, "langfuse_otel", loggers) + is_otel_v2_enabled.cache_clear() + + assert degraded is not None + assert plain is None + + def test_a_credentialed_logger_is_still_reused_across_requests(self, monkeypatch): + from litellm.litellm_core_utils.litellm_logging import _maybe_construct_otel_v2 + + monkeypatch.setenv("LANGFUSE_PUBLIC_KEY", "pk-lf-1") + monkeypatch.setenv("LANGFUSE_SECRET_KEY", "sk-lf-1") + monkeypatch.setenv("LITELLM_OTEL_V2", "true") + loggers = [] + + is_otel_v2_enabled.cache_clear() + first = in_fresh_context(_maybe_construct_otel_v2, "langfuse_otel", loggers) + second = in_fresh_context(_maybe_construct_otel_v2, "langfuse_otel", loggers) + is_otel_v2_enabled.cache_clear() + + assert first is not None + assert second is first + + @staticmethod + def _degraded_langfuse_beside(loggers, monkeypatch): + from litellm.litellm_core_utils.litellm_logging import _maybe_construct_otel_v2 + + credential_less_proxy(monkeypatch) + monkeypatch.setenv("OTEL_EXPORTER_OTLP_ENDPOINT", "http://collector.local:4318") + monkeypatch.setenv("LITELLM_OTEL_V2", "true") + + def run(): + set_request_destinations((LANGFUSE_DEST,)) + return _maybe_construct_otel_v2("langfuse_otel", loggers) + + is_otel_v2_enabled.cache_clear() + logger = in_fresh_context(run) + is_otel_v2_enabled.cache_clear() + assert logger is not None + return logger + + def test_a_degraded_logger_beside_another_v2_logger_leaves_the_collector_to_it(self, monkeypatch): + """The other logger's provider already exports every span to the operator's + collector, so a second model span from this one would land there twice.""" + collector_logger = build_otel_v2_logger(OpenTelemetryV2Config(exporter="in_memory")) + + logger = self._degraded_langfuse_beside([collector_logger], monkeypatch) + + assert [spec.endpoint for spec in logger.config.exporters] == [None] + assert all(spec.requires_headers and not spec.headers for spec in logger.config.exporters) + + @pytest.mark.parametrize("registered", [(), (CustomLogger(),)]) + def test_a_credential_less_proxy_with_a_destination_but_no_v2_carrier_falls_back(self, monkeypatch, registered): + """Only a V2 logger publishes the provider the fan-out rides on, so a legacy + callback beside this one leaves the destination just as unreachable as no + callback at all, and the operator keeps the pre-V2 story.""" + from litellm.litellm_core_utils.litellm_logging import _maybe_construct_otel_v2 + + credential_less_proxy(monkeypatch) + monkeypatch.setenv("LITELLM_OTEL_V2", "true") + + def run(): + set_request_destinations((LANGFUSE_DEST,)) + return _maybe_construct_otel_v2("langfuse_otel", list(registered)) + + is_otel_v2_enabled.cache_clear() + logger = in_fresh_context(run) + is_otel_v2_enabled.cache_clear() + + assert logger is None + + def test_a_credentialed_logger_beside_another_v2_logger_keeps_every_exporter(self, monkeypatch): + """Only a degraded preset gives the collector up; an operator who configured + both the backend and the collector still exports to both, as on base.""" + from litellm.litellm_core_utils.litellm_logging import _maybe_construct_otel_v2 + + monkeypatch.setenv("LANGFUSE_PUBLIC_KEY", "pk-lf-1") + monkeypatch.setenv("LANGFUSE_SECRET_KEY", "sk-lf-1") + monkeypatch.setenv("LANGFUSE_HOST", "https://cloud.langfuse.com") + monkeypatch.setenv("OTEL_EXPORTER_OTLP_ENDPOINT", "http://collector.local:4318") + monkeypatch.setenv("LITELLM_OTEL_V2", "true") + collector_logger = build_otel_v2_logger(OpenTelemetryV2Config(exporter="in_memory")) + + is_otel_v2_enabled.cache_clear() + logger = in_fresh_context(_maybe_construct_otel_v2, "langfuse_otel", [collector_logger]) + is_otel_v2_enabled.cache_clear() + + assert logger is not None + assert [spec.endpoint for spec in logger.config.exporters] == [ + "http://collector.local:4318", + "https://cloud.langfuse.com/api/public/otel", + ] + assert all(spec.headers for spec in logger.config.exporters if spec.requires_headers) + + +class TestContextIsolation: + def test_destinations_do_not_leak_between_requests(self): + def first(): + set_request_destinations((LANGFUSE_DEST,)) + return destination_backends() + + assert in_fresh_context(first) == frozenset({"langfuse_otel"}) + assert in_fresh_context(request_destinations) == () + + +class TestOperatorShorthandSurvivesDegradation: + def test_a_generic_otlp_collector_keeps_receiving_when_langfuse_has_no_credentials(self, monkeypatch): + """Only the stdout placeholder is dropped. An operator who set the standard + OTLP env vars configured a real destination and must keep it.""" + monkeypatch.delenv("LANGFUSE_PUBLIC_KEY", raising=False) + monkeypatch.delenv("LANGFUSE_SECRET_KEY", raising=False) + monkeypatch.setenv("OTEL_EXPORTER_OTLP_ENDPOINT", "http://collector.local:4318") + + config = langfuse_preset(allow_missing_credentials=True) + + assert [spec.endpoint for spec in config.exporters] == ["http://collector.local:4318", None] + assert [spec.kind for spec in config.exporters] == ["otlp_http", "console"] + + def test_the_stdout_placeholder_is_still_dropped_when_it_is_the_only_exporter(self, monkeypatch): + credential_less_proxy(monkeypatch) + + config = langfuse_preset(allow_missing_credentials=True) + + assert all(spec.requires_headers and not spec.headers for spec in config.exporters) + + +class TestBackendEndpointParity: + def test_arize_follows_its_own_http_endpoint_instead_of_the_grpc_default(self, monkeypatch): + monkeypatch.delenv("ARIZE_ENDPOINT", raising=False) + monkeypatch.setenv("ARIZE_HTTP_ENDPOINT", "https://otlp.arize.com/v1/traces") + + destination = destination_for("arize", {"arize_space_id": "s", "arize_api_key": "k"}) + + assert destination.endpoint == "https://otlp.arize.com/v1/traces" + assert destination.protocol == "otlp_http" + + def test_arize_uses_grpc_when_nothing_is_configured(self, monkeypatch): + monkeypatch.delenv("ARIZE_ENDPOINT", raising=False) + monkeypatch.delenv("ARIZE_HTTP_ENDPOINT", raising=False) + + destination = destination_for("arize", {"arize_space_id": "s", "arize_api_key": "k"}) + + assert destination.endpoint == "https://otlp.arize.com/v1" + assert destination.protocol == "otlp_grpc" + + def test_weave_follows_a_self_hosted_wandb_host(self, monkeypatch): + monkeypatch.setenv("WANDB_HOST", "weave.internal.example") + + destination = destination_for("weave_otel", {"wandb_api_key": "k", "weave_project_id": "e/p"}) + + assert destination.endpoint == "https://weave.internal.example/otel/v1/traces" + + def test_weave_uses_the_cloud_endpoint_without_a_host(self, monkeypatch): + monkeypatch.delenv("WANDB_HOST", raising=False) + + destination = destination_for("weave_otel", {"wandb_api_key": "k", "weave_project_id": "e/p"}) + + assert destination.endpoint == "https://trace.wandb.ai/otel/v1/traces" + + +class TestIncompleteCredentials: + """Half a credential set builds a non-empty but unusable header dict. Accepting it + would suppress the operator's exporter and send the trace where it cannot land.""" + + @pytest.mark.parametrize( + "callback_name,callback_vars", + [ + ("arize", {"arize_api_key": "k"}), + ("arize", {"arize_space_id": "s"}), + ("weave_otel", {"wandb_api_key": "k"}), + ("weave_otel", {"weave_project_id": "e/p"}), + ("langfuse_otel", {"langfuse_public_key": "pk"}), + ], + ) + def test_a_partial_credential_set_resolves_to_nothing(self, callback_name, callback_vars): + assert destination_for(callback_name, callback_vars) is None + + @pytest.mark.parametrize( + "callback_name,callback_vars", + [ + ("arize", {"arize_space_id": "s", "arize_api_key": "k"}), + ("weave_otel", {"wandb_api_key": "k", "weave_project_id": "e/p"}), + ("newrelic", {"newrelic_api_key": "k"}), + ], + ) + def test_a_complete_credential_set_resolves(self, callback_name, callback_vars): + assert destination_for(callback_name, callback_vars) is not None + + +@pytest.mark.usefixtures("allow_test_hosts") +class TestCallbackTypeFilter: + @staticmethod + def _auth(callback_type: str | None) -> UserAPIKeyAuth: + return UserAPIKeyAuth( + team_metadata={ + "logging": [ + { + "callback_name": "langfuse_otel", + "callback_type": callback_type, + "callback_vars": { + "langfuse_public_key": "pk", + "langfuse_secret_key": "sk", + "langfuse_host": "http://team.local", + }, + } + ] + } + ) + + @pytest.mark.parametrize("callback_type", ["success", "success_and_failure", None]) + def test_an_entry_that_wants_success_traces_gets_the_whole_trace(self, monkeypatch, callback_type): + monkeypatch.setenv("LITELLM_OTEL_V2", "true") + is_otel_v2_enabled.cache_clear() + + assert resolve_tenant_otel_destinations(self._auth(callback_type)) != () + + def test_a_failure_only_entry_does_not_take_over_the_trace(self, monkeypatch): + monkeypatch.setenv("LITELLM_OTEL_V2", "true") + is_otel_v2_enabled.cache_clear() + + assert resolve_tenant_otel_destinations(self._auth("failure")) == () + + +class TestTenantConfigAgreement: + """The destination resolver and ``convert_key_logging_metadata_to_callback`` read + the same stored config, so they must not read it two different ways.""" + + @pytest.fixture(autouse=True) + def _v2_on(self, monkeypatch): + monkeypatch.setenv("LITELLM_OTEL_V2", "true") + monkeypatch.setattr( + litellm, "provider_url_destination_allowed_hosts", ["team.local", "key.local"], raising=False + ) + is_otel_v2_enabled.cache_clear() + yield + is_otel_v2_enabled.cache_clear() + + @staticmethod + def _entry(host, **extra): + return { + "callback_name": "langfuse_otel", + "callback_vars": {"langfuse_public_key": "pk", "langfuse_secret_key": "sk", "langfuse_host": host, **extra}, + } + + def test_a_key_that_disabled_its_callbacks_does_not_fall_back_to_the_team(self): + """Disabling a key's callbacks stores an empty list, which the sibling parser + reads as 'the key configured none'.""" + auth = UserAPIKeyAuth( + metadata={"logging": []}, + team_metadata={"logging": [self._entry("http://team.local")]}, + ) + + assert resolve_tenant_otel_destinations(auth) == () + + def test_two_entries_for_one_backend_merge_their_vars_last_wins(self): + auth = UserAPIKeyAuth( + team_metadata={ + "logging": [ + self._entry("http://team.local"), + {"callback_name": "langfuse_otel", "callback_vars": {"langfuse_host": "http://key.local"}}, + ] + } + ) + + destinations = resolve_tenant_otel_destinations(auth) + + assert [d.endpoint for d in destinations] == ["http://key.local/api/public/otel"] + + def test_a_failure_entry_still_wins_the_merge_next_to_a_success_entry(self): + entries = [ + {**self._entry("http://team.local"), "callback_type": "success"}, + { + **self._entry("http://key.local", langfuse_public_key="pk-failure", langfuse_secret_key="sk-failure"), + "callback_type": "failure", + }, + ] + runtime = reduce( + lambda merged, entry: convert_key_logging_metadata_to_callback(AddTeamCallback(**entry), merged), + entries, + None, + ) + + destinations = resolve_tenant_otel_destinations(UserAPIKeyAuth(team_metadata={"logging": entries})) + + assert runtime.callback_vars["langfuse_host"] == "http://key.local" + assert [d.endpoint for d in destinations] == ["http://key.local/api/public/otel"] + assert destinations[0].headers["Authorization"] == f"Basic {b64encode(b'pk-failure:sk-failure').decode()}" + + @pytest.fixture + def premium(self, monkeypatch): + from litellm.proxy import proxy_server + + monkeypatch.setattr(proxy_server, "premium_user", True) + monkeypatch.setattr(litellm, "allow_dynamic_callback_disabling", True) + + @pytest.mark.usefixtures("premium") + def test_a_backend_the_key_disabled_resolves_to_no_destination(self): + """Dispatch skips a callback named in the key's ``litellm_disabled_callbacks``, + so the fan-out must not deliver to it either.""" + auth = UserAPIKeyAuth( + metadata={"litellm_disabled_callbacks": ["Langfuse_OTEL"]}, + team_metadata={"logging": [self._entry("http://team.local")]}, + ) + + assert resolve_tenant_otel_destinations(auth) == () + + @pytest.mark.usefixtures("premium") + @pytest.mark.parametrize( + ("header", "resolved"), + [ + ("langfuse_otel", False), + (" LANGFUSE_OTEL ,arize", False), + ("arize", True), + ], + ) + def test_the_disable_header_wins_over_the_key_list(self, header, resolved): + """Same precedence as dispatch: a header that names other backends re-enables + the one the key stored.""" + auth = UserAPIKeyAuth( + metadata={"litellm_disabled_callbacks": ["langfuse_otel"]}, + team_metadata={"logging": [self._entry("http://team.local")]}, + ) + + destinations = resolve_tenant_otel_destinations(auth, {"x-litellm-disable-callbacks": header}) + + assert bool(destinations) is resolved + + def test_a_non_premium_proxy_ignores_the_disabled_list_like_dispatch_does(self, monkeypatch): + from litellm.proxy import proxy_server + + monkeypatch.setattr(proxy_server, "premium_user", False) + auth = UserAPIKeyAuth( + metadata={"litellm_disabled_callbacks": ["langfuse_otel"]}, + team_metadata={"logging": [self._entry("http://team.local")]}, + ) + + assert resolve_tenant_otel_destinations(auth, {"x-litellm-disable-callbacks": "langfuse_otel"}) != () + + +class TestEvictionSafety: + class Recording(SimpleSpanProcessor): + def __init__(self): + super().__init__(InMemorySpanExporter()) + self.shutdown_calls = 0 + + def shutdown(self): + self.shutdown_calls += 1 + + def _fan_out(self): + built = [] + + def factory(_destination): + built.append(self.Recording()) + return built[-1] + + return TenantFanOutSpanProcessor(processor_factory=factory), built + + @staticmethod + def _dest(index): + return LANGFUSE_DEST.model_copy(update={"endpoint": f"http://d{index}/otel"}) + + @staticmethod + def _settle(fan_out, processor=None): + """Wait for retirement to clear and, when given, for the drain to run. + + The drain pool is shared and bounded, so a shed processor is closed once a + worker picks it up rather than the moment it is handed over. + """ + for _ in range(500): + if not fan_out._retired and (processor is None or processor.shutdown_calls): + return + time.sleep(0.02) + + def test_a_processor_still_exporting_a_span_is_not_closed_under_it(self): + """``on_end`` holds a processor across the export, so closing an evicted one + there drops the span it is holding.""" + from litellm.integrations.otel.plumbing.providers import _MAX_CACHED_DESTINATION_PROCESSORS + + fan_out, built = self._fan_out() + held = fan_out._acquire(self._dest(0)) + for index in range(1, _MAX_CACHED_DESTINATION_PROCESSORS + 1): + fan_out._acquire(self._dest(index)) + fan_out._release(built[-1]) + + assert held.shutdown_calls == 0 + assert id(held) in fan_out._retired + + fan_out._release(held) + self._settle(fan_out, held) + + assert held.shutdown_calls == 1 + + def test_a_recently_used_destination_is_not_the_one_evicted(self): + """Without the refresh the cache sheds by insertion order, so the busiest + destination is the one whose exporter is rebuilt on every overflow.""" + from litellm.integrations.otel.plumbing.providers import _MAX_CACHED_DESTINATION_PROCESSORS + + fan_out, built = self._fan_out() + for index in range(_MAX_CACHED_DESTINATION_PROCESSORS): + fan_out._release(fan_out._acquire(self._dest(index))) + fan_out._release(fan_out._acquire(self._dest(0))) + fan_out._release(fan_out._acquire(self._dest(_MAX_CACHED_DESTINATION_PROCESSORS))) + self._settle(fan_out, built[1]) + + assert built[1].shutdown_calls == 1 + assert built[0].shutdown_calls == 0, "the destination used most recently was the one shed" + + def test_an_idle_evicted_processor_is_closed_off_the_export_path(self): + from litellm.integrations.otel.plumbing.providers import _MAX_CACHED_DESTINATION_PROCESSORS + + fan_out, built = self._fan_out() + for index in range(_MAX_CACHED_DESTINATION_PROCESSORS + 1): + fan_out._acquire(self._dest(index)) + fan_out._release(built[-1]) + self._settle(fan_out, built[0]) + + assert built[0].shutdown_calls == 1 + assert len(fan_out._processors) == _MAX_CACHED_DESTINATION_PROCESSORS + + def test_a_slow_collector_does_not_hold_up_the_export_path(self): + """``shutdown`` flushes over the network and is reached from ``on_end``, so + closing a shed processor inline lets one unreachable tenant collector stall + every other tenant's spans.""" + from litellm.integrations.otel.plumbing.providers import _MAX_CACHED_DESTINATION_PROCESSORS + + class Slow(self.Recording): + def shutdown(self): + time.sleep(3) + super().shutdown() + + built = [] + + def factory(_destination): + built.append(Slow()) + return built[-1] + + fan_out = TenantFanOutSpanProcessor(processor_factory=factory) + started = time.monotonic() + for index in range(_MAX_CACHED_DESTINATION_PROCESSORS + 1): + fan_out._acquire(self._dest(index)) + fan_out._release(built[-1]) + + assert time.monotonic() - started < 2 + + def test_shedding_many_processors_does_not_spawn_a_thread_each(self): + """A tenant that cycles its destination config sheds a processor per request, + so a thread per shed processor is a thread per request against a slow + collector.""" + import threading + + from litellm.integrations.otel.plumbing.providers import _MAX_CACHED_DESTINATION_PROCESSORS + + release = threading.Event() + + class Blocking(self.Recording): + def shutdown(self): + release.wait(timeout=10) + super().shutdown() + + built = [] + + def factory(_destination): + built.append(Blocking()) + return built[-1] + + fan_out = TenantFanOutSpanProcessor(processor_factory=factory) + before = self._drain_workers() + try: + for index in range(_MAX_CACHED_DESTINATION_PROCESSORS + 30): + fan_out._acquire(self._dest(index)) + fan_out._release(built[-1]) + grew = self._drain_workers() - before + assert grew == 0, f"one drain thread per shed processor: {grew} new threads" + finally: + release.set() + self._settle(fan_out, built[0]) + + def test_a_saturated_drain_leaves_new_destinations_with_the_operator(self): + """A shed processor keeps its batch thread until its close returns, and against + a collector that never answers every close waits out the exporter's timeout. + Tenants rotating past the cache cap would otherwise queue one more processor, + and one more thread, per request for as long as the outage lasts.""" + import threading + + from litellm.integrations.otel.plumbing.providers import _MAX_CACHED_DESTINATION_PROCESSORS + + release = threading.Event() + + class Blocking(self.Recording): + def shutdown(self): + release.wait(timeout=10) + super().shutdown() + + built = [] + + def factory(_destination): + built.append(Blocking()) + return built[-1] + + fan_out = TenantFanOutSpanProcessor(processor_factory=factory, pending_drains=3) + try: + anchored = tuple( + fan_out.deliverable((self._dest(index),)) for index in range(_MAX_CACHED_DESTINATION_PROCESSORS + 40) + ) + + assert len(built) == _MAX_CACHED_DESTINATION_PROCESSORS + 3, "a processor per request during the outage" + assert sum(1 for accepted in anchored if accepted) == len(built), "anchored what it could not build" + assert fan_out.deliverable((self._dest(999),)) == (), "the span would vanish instead of staying with the operator" + finally: + release.set() + for _ in range(500): + if not fan_out._drain.saturated(): + break + time.sleep(0.02) + + assert fan_out.deliverable((self._dest(999),)) == (self._dest(999),), "the fan-out never recovered" + + def test_an_anchored_destination_evicted_under_a_saturated_drain_still_gets_the_span(self): + """``deliverable`` accepted the destination, so the operator's exporter has stood + down for it. Other tenants' auths can then evict it, and the eviction is what + tips the drain into saturation, so refusing the rebuild at ``on_end`` would drop + the span outright.""" + import threading + + from litellm.integrations.otel.plumbing.providers import _MAX_CACHED_DESTINATION_PROCESSORS + + release = threading.Event() + + class Blocking(self.Recording): + def shutdown(self): + release.wait(timeout=10) + super().shutdown() + + built = [] + + def factory(_destination): + built.append(Blocking()) + return built[-1] + + fan_out = TenantFanOutSpanProcessor( + processor_factory=factory, pending_drains=_MAX_CACHED_DESTINATION_PROCESSORS + 1 + ) + provider = TracerProvider() + provider.add_span_processor(fan_out) + tracer = get_tracer(provider, "litellm") + anchored = self._dest(0) + try: + for index in range(1, _MAX_CACHED_DESTINATION_PROCESSORS + 1): + assert fan_out.deliverable((self._dest(index),)) + assert fan_out.deliverable((anchored,)) == (anchored,) + first = built[-1] + for index in range(_MAX_CACHED_DESTINATION_PROCESSORS + 1, 2 * _MAX_CACHED_DESTINATION_PROCESSORS + 1): + assert fan_out.deliverable((self._dest(index),)) + assert fan_out._drain.saturated(), "the anchored destination's own eviction saturates the drain" + assert first not in fan_out._processors.values(), "the anchored destination was not evicted" + + def run(): + set_request_destinations((anchored,)) + with tracer.start_as_current_span("chat anthropic"): + pass + + before = len(built) + in_fresh_context(run) + assert len(built) == before + 1, "the anchored destination was not rebuilt, so its span went nowhere" + assert [span.name for span in built[-1].span_exporter.get_finished_spans()] == ["chat anthropic"] + assert first.span_exporter.get_finished_spans() == (), "the shed processor was handed out again" + finally: + release.set() + + def _saturated_by_anchoring(self, pending_drains, extra): + """A fan-out whose drain ``extra`` anchorings past the cache cap have saturated. + + Returns it with the processors built, the destinations that anchored, and the + event that lets the blocked closes finish. + """ + import threading + + from litellm.integrations.otel.plumbing.providers import _MAX_CACHED_DESTINATION_PROCESSORS + + release = threading.Event() + + class Blocking(self.Recording): + def shutdown(self): + release.wait(timeout=10) + super().shutdown() + + built = [] + + def factory(_destination): + built.append(Blocking()) + return built[-1] + + fan_out = TenantFanOutSpanProcessor(processor_factory=factory, pending_drains=pending_drains) + destinations = tuple(self._dest(index) for index in range(_MAX_CACHED_DESTINATION_PROCESSORS + extra)) + anchored = tuple(destination for destination in destinations if fan_out.deliverable((destination,))) + assert fan_out._drain.saturated(), "anchoring past the cap did not saturate the drain" + assert len(anchored) > _MAX_CACHED_DESTINATION_PROCESSORS, "not enough destinations in flight to churn" + return fan_out, built, anchored, release + + def test_anchored_rebuilds_under_a_saturated_drain_do_not_grow_with_the_spans(self): + """Every anchored rebuild past the cap evicts another anchored destination, whose + next span rebuilds it in turn. With more destinations in flight than the cache + holds, each span would then cost one more processor, one more batch thread and + one more close queued behind a collector that never answers.""" + from litellm.integrations.otel.plumbing.providers import _MAX_CACHED_DESTINATION_PROCESSORS + + fan_out, built, anchored, release = self._saturated_by_anchoring(pending_drains=4, extra=8) + try: + after_anchoring = len(built) + for _ in range(5): + for destination in anchored: + fan_out._release(fan_out._acquire(destination)) + + rebuilt = len(built) - after_anchoring + assert rebuilt == len(anchored) - _MAX_CACHED_DESTINATION_PROCESSORS, ( + f"{rebuilt} rebuilds over 5 rounds of {len(anchored)} anchored destinations: one per evicted one expected" + ) + assert len(fan_out._processors) == len(anchored), "an anchored destination was shed under a saturated drain" + assert all(destination in fan_out.deliverable((destination,)) for destination in anchored) + finally: + release.set() + + def test_the_cache_returns_to_its_cap_once_the_drain_has_room(self): + """Holding above the cap is for the outage only: with the drain caught up, the + entries kept for the destinations in flight are the ones to shed.""" + from litellm.integrations.otel.plumbing.providers import _MAX_CACHED_DESTINATION_PROCESSORS + + fan_out, built, anchored, release = self._saturated_by_anchoring(pending_drains=4, extra=8) + for destination in anchored: + fan_out._release(fan_out._acquire(destination)) + assert len(fan_out._processors) > _MAX_CACHED_DESTINATION_PROCESSORS + + release.set() + for _ in range(500): + for destination in anchored[-4:]: + fan_out._release(fan_out._acquire(destination)) + if len(fan_out._processors) <= _MAX_CACHED_DESTINATION_PROCESSORS: + break + time.sleep(0.02) + + assert len(fan_out._processors) == _MAX_CACHED_DESTINATION_PROCESSORS, "the cache never came back to its cap" + shed = len(built) - _MAX_CACHED_DESTINATION_PROCESSORS + for _ in range(500): + if sum(processor.shutdown_calls for processor in built) == shed: + break + time.sleep(0.02) + + assert sum(processor.shutdown_calls for processor in built) == shed, "a shed processor was never closed" + + def test_concurrent_eviction_cannot_build_between_retirement_and_drain_submission(self): + """A second request cannot build while the first eviction is being handed to + the drain, or concurrent churn can outrun the pending-drain limit.""" + import threading + + from litellm.integrations.otel.plumbing.providers import ( + _DrainPool, + _MAX_CACHED_DESTINATION_PROCESSORS, + ) + + class GatedDrain(_DrainPool): + def __init__(self): + super().__init__(workers=0) + self.started = threading.Event() + self.release = threading.Event() + + def saturated(self): + return False + + def submit(self, processor): + if not self.started.is_set(): + self.started.set() + self.release.wait(timeout=5) + + built = [] + + def factory(_destination): + built.append(self.Recording()) + return built[-1] + + drain = GatedDrain() + fan_out = TenantFanOutSpanProcessor(processor_factory=factory, drain_pool=drain) + for index in range(_MAX_CACHED_DESTINATION_PROCESSORS): + fan_out._release(fan_out._acquire(self._dest(index))) + + first = threading.Thread(target=lambda: fan_out._release(fan_out._acquire(self._dest(32)))) + first.start() + assert drain.started.wait(timeout=5) + second = threading.Thread(target=lambda: fan_out._release(fan_out._acquire(self._dest(33)))) + second.start() + time.sleep(0.1) + + assert len(built) == _MAX_CACHED_DESTINATION_PROCESSORS + 1 + + drain.release.set() + first.join(timeout=5) + second.join(timeout=5) + assert not first.is_alive() and not second.is_alive() + assert len(built) == _MAX_CACHED_DESTINATION_PROCESSORS + 2 + + def test_drain_workers_are_daemons(self): + """Python joins a ThreadPoolExecutor's workers at interpreter exit, so one + unreachable tenant collector would hold the proxy open for its export + timeout on the way down.""" + import threading + + self._fan_out() + workers = [t for t in threading.enumerate() if t.name.startswith("litellm-otel-destination-drain")] + + assert workers, "no drain worker was started" + assert all(t.daemon for t in workers), "a non-daemon drain worker blocks interpreter exit" + + def test_a_burst_of_first_evictions_starts_one_set_of_drain_workers(self): + """A drain pool built lazily on first use is not built once: several threads + can each finish the build, and every pool but the winner is left with its + workers blocked on a queue nothing will ever feed again.""" + import threading + + from litellm.integrations.otel.plumbing.providers import ( + _DRAIN_WORKERS, + _MAX_CACHED_DESTINATION_PROCESSORS, + ) + + for _ in range(3): + before = self._drain_workers() + fan_out, built = self._fan_out() + for index in range(_MAX_CACHED_DESTINATION_PROCESSORS): + fan_out._release(fan_out._acquire(self._dest(index))) + barrier = threading.Barrier(16) + + def shed(index, fan_out=fan_out, barrier=barrier): + barrier.wait(timeout=10) + fan_out._release(fan_out._acquire(self._dest(index))) + + threads = [ + threading.Thread(target=shed, args=(_MAX_CACHED_DESTINATION_PROCESSORS + index,)) for index in range(16) + ] + for thread in threads: + thread.start() + for thread in threads: + thread.join(timeout=10) + self._settle(fan_out) + + assert self._drain_workers() - before == _DRAIN_WORKERS + + @staticmethod + def _drain_workers(): + import threading + + return len([t for t in threading.enumerate() if t.name.startswith("litellm-otel-destination-drain")]) + + def test_shutdown_does_not_close_a_processor_under_an_in_flight_export(self): + """``on_end`` runs on whichever thread ends a span, so it reaches the fan-out + while the SDK tears the provider down.""" + import threading + + fan_out, _ = self._fan_out() + held = fan_out._acquire(self._dest(0)) + closed = threading.Thread(target=fan_out.shutdown) + closed.start() + try: + time.sleep(0.3) + + assert held.shutdown_calls == 0, "closed a processor with a span still being forwarded" + finally: + fan_out._release(held) + closed.join(timeout=10) + + assert held.shutdown_calls == 1 + + def test_a_closed_fan_out_builds_no_new_processor(self): + """A processor built after shutdown is one nothing will ever close, and it + exports to a tenant on a provider the SDK has already torn down.""" + fan_out, built = self._fan_out() + fan_out.shutdown() + + assert fan_out._acquire(self._dest(0)) is None + assert built == [] + + def test_shutdown_gives_up_on_an_export_that_never_finishes(self): + """The wait is bounded: an exporter stuck on a dead collector must not hold + the proxy open on the way down.""" + import threading + + fan_out = TenantFanOutSpanProcessor(processor_factory=lambda _d: self.Recording(), shutdown_drain_seconds=0.2) + fan_out._acquire(self._dest(0)) + closed = threading.Thread(target=fan_out.shutdown) + closed.start() + closed.join(timeout=5) + + assert not closed.is_alive(), "shutdown blocked on an export that never finished" + + def test_shutdown_retires_the_drain_workers(self): + """A proxy that rebuilds its telemetry builds another fan-out, so workers that + outlive the one that started them are two more threads per reload.""" + from litellm.integrations.otel.plumbing.providers import _DRAIN_WORKERS + + before = self._drain_workers() + fan_out, _ = self._fan_out() + assert self._drain_workers() - before == _DRAIN_WORKERS + + fan_out.shutdown() + for _ in range(500): + if self._drain_workers() == before: + break + time.sleep(0.02) + + assert self._drain_workers() == before, "the drain workers outlived their fan-out" + + def test_a_processor_shed_after_shutdown_is_still_closed(self): + """``close`` retires the workers, so anything handed to the pool afterwards + would sit in a queue nobody reads.""" + fan_out, _ = self._fan_out() + stray = self.Recording() + fan_out.shutdown() + fan_out._drain.submit(stray) + + for _ in range(500): + if stray.shutdown_calls: + break + time.sleep(0.02) + + assert stray.shutdown_calls == 1 + + def test_releasing_a_straggler_after_shutdown_does_not_block_the_span_thread(self): + """The teardown deadline has already expired by then, so closing the straggler + inline would park whichever thread just ended a span on the very flush the + deadline gave up waiting for.""" + import threading + + never = threading.Event() + + class Stuck(self.Recording): + def shutdown(self): + never.wait() + + def factory(_destination): + return Stuck() + + fan_out = TenantFanOutSpanProcessor(processor_factory=factory, shutdown_drain_seconds=0.05) + held = fan_out._acquire(self._dest(0)) + fan_out.shutdown() + + released = threading.Event() + caller = threading.Thread(target=lambda: (fan_out._release(held), released.set()), daemon=True) + caller.start() + came_back = released.wait(timeout=5) + never.set() + + assert came_back, "the thread that ended the span was left holding a stuck teardown" + + def test_shutdown_waits_out_an_export_that_lands_inside_the_bound(self): + """Without the wait the closing is left to a daemon thread, which the + interpreter can retire before it runs, so the last spans never reach the + tenant.""" + import threading + + fan_out, built = self._fan_out() + held = fan_out._acquire(self._dest(0)) + threading.Timer(0.2, lambda: fan_out._release(held)).start() + + fan_out.shutdown() + + assert held.shutdown_calls == 1, "shutdown returned before the export it should have waited out" + + def test_a_straggler_past_the_drain_bound_is_closed_by_its_own_thread(self): + """The wait is bounded so one dead collector cannot hold the proxy open, which + means a processor still exporting when it expires has to be left to the thread + holding it rather than closed under the span it is carrying.""" + built = [] + + def factory(_destination): + built.append(self.Recording()) + return built[-1] + + fan_out = TenantFanOutSpanProcessor(processor_factory=factory, shutdown_drain_seconds=0.05) + held = fan_out._acquire(self._dest(0)) + + fan_out.shutdown() + + assert held.shutdown_calls == 0 + + fan_out._release(held) + self._settle(fan_out, held) + + assert held.shutdown_calls == 1 + + def test_a_processor_built_while_shutdown_waits_is_still_closed(self): + """Shutdown cannot slip between the build and the insert, which would leave a + live exporter, with its batch thread and its connection pool, in a map nothing + will read again.""" + import threading + + built = [] + + def slow(_destination): + time.sleep(0.4) + built.append(self.Recording()) + return built[-1] + + fan_out = TenantFanOutSpanProcessor(processor_factory=slow, shutdown_drain_seconds=0.05) + acquired = [] + caller = threading.Thread(target=lambda: acquired.append(fan_out._acquire(self._dest(0)))) + caller.start() + time.sleep(0.1) + fan_out.shutdown() + caller.join(timeout=10) + + assert acquired == built, "the build shutdown waited out was thrown away" + + fan_out._release(built[0]) + self._settle(fan_out, built[0]) + + assert built[0].shutdown_calls == 1, "the exporter outlived the fan-out" + assert fan_out._processors == {}, "an exporter was left in a cleared cache" + + def test_shutdown_returns_when_a_destination_never_finishes_closing(self): + """Closing an exporter flushes over the network and the SDK joins its own + worker with no timeout, so a tenant collector that answers but never finishes + a response would hold process teardown open for as long as it likes.""" + import threading + + never = threading.Event() + + class Stuck(self.Recording): + def shutdown(self): + never.wait() + + built = [] + + def factory(_destination): + built.append(Stuck()) + return built[-1] + + fan_out = TenantFanOutSpanProcessor(processor_factory=factory, shutdown_drain_seconds=0.3) + fan_out._release(fan_out._acquire(self._dest(0))) + returned = threading.Event() + threading.Thread(target=lambda: (fan_out.shutdown(), returned.set()), daemon=True).start() + + came_back = returned.wait(timeout=8) + never.set() + + assert came_back, "shutdown never returned while a collector held its exporter open" + + def test_a_cold_cache_met_by_a_burst_builds_one_processor_per_destination(self): + """Building outside the cache lock let every thread of the burst construct its + own exporter, each with a batch thread and a connection pool, and shed all but + one into the drain.""" + import threading + + built = [] + + def factory(_destination): + time.sleep(0.01) + built.append(self.Recording()) + return built[-1] + + fan_out = TenantFanOutSpanProcessor(processor_factory=factory) + ready = threading.Barrier(8) + + def acquire(): + ready.wait() + fan_out._release(fan_out._acquire(self._dest(0))) + + callers = [threading.Thread(target=acquire) for _ in range(8)] + for caller in callers: + caller.start() + for caller in callers: + caller.join(timeout=10) + + assert len(built) == 1, f"one destination, {len(built)} exporters built" + + def test_a_submit_racing_close_is_never_stranded_behind_the_sentinels(self): + """A submit that read the closed state and then let ``close`` run queues its + processor after every sentinel, where the workers have already exited.""" + import queue + import threading + + from litellm.integrations.otel.plumbing.providers import _DrainPool + + at_the_put, close_returned = threading.Event(), threading.Event() + + class Gated(queue.Queue): + def put(self, item, *args, **kwargs): + if item is not None: + at_the_put.set() + close_returned.wait(timeout=1) + super().put(item, *args, **kwargs) + + pool = _DrainPool(pending=Gated()) + submitted = self.Recording() + submitter = threading.Thread(target=pool.submit, args=(submitted,)) + submitter.start() + assert at_the_put.wait(timeout=5) + closer = threading.Thread(target=pool.close) + closer.start() + closer.join(timeout=1.5) + close_returned.set() + submitter.join(timeout=5) + closer.join(timeout=5) + for _ in range(250): + if submitted.shutdown_calls: + break + time.sleep(0.02) + + assert submitted.shutdown_calls == 1, "a processor was queued behind the sentinels and never closed" + + def test_a_retired_processor_is_still_closed_after_shutdown(self): + """Eviction and shutdown can both land while a span is being forwarded, and the + evicted processor still has to be closed once that export returns.""" + from litellm.integrations.otel.plumbing.providers import _MAX_CACHED_DESTINATION_PROCESSORS + + fan_out, built = self._fan_out() + held = fan_out._acquire(self._dest(0)) + for index in range(1, _MAX_CACHED_DESTINATION_PROCESSORS + 1): + fan_out._acquire(self._dest(index)) + fan_out._release(built[-1]) + fan_out.shutdown() + + assert held.shutdown_calls == 0 + + fan_out._release(held) + self._settle(fan_out, held) + + assert held.shutdown_calls == 1 + + +class TestCredentialGatedExporters: + def test_layering_a_second_preset_does_not_eat_the_first_gated_exporter(self, monkeypatch): + """``base.Preset`` advertises ``config_overrides`` layering, and the gated spec + is itself a console exporter with no endpoint.""" + credential_less_proxy(monkeypatch) + from litellm.integrations.otel.presets.utils import credential_gated_exporters + + once = credential_gated_exporters((), ExporterOwner.LANGFUSE_OTEL) + twice = credential_gated_exporters(once, ExporterOwner.WEAVE_OTEL) + + assert [spec.owner for spec in twice] == [ExporterOwner.LANGFUSE_OTEL, ExporterOwner.WEAVE_OTEL] + + def test_an_exporter_the_operator_configured_survives(self): + from litellm.integrations.otel.presets.utils import credential_gated_exporters + + operator_console = ExporterSpec(kind="console", use_simple_processor=True) + + kept = credential_gated_exporters((operator_console,), ExporterOwner.LANGFUSE_OTEL) + + assert kept[0] == operator_console + + def test_an_otlp_exporter_on_its_default_endpoint_survives(self): + """``OTEL_EXPORTER=otlp_http`` with no endpoint is a real collector on the SDK's + default port, not the placeholder, so the transport is what tells them apart.""" + from litellm.integrations.otel.presets.utils import credential_gated_exporters + + operator_otlp = ExporterSpec(kind="otlp_http", endpoint=None, headers=None) + + kept = credential_gated_exporters((operator_otlp,), ExporterOwner.LANGFUSE_OTEL) + + assert kept[0] == operator_otlp + + def test_an_in_memory_exporter_the_operator_asked_for_survives(self): + """``OTEL_EXPORTER=in_memory`` stores spans, so it is a destination the operator + chose, not the placeholder that stands in for choosing nothing.""" + from litellm.integrations.otel.presets.utils import credential_gated_exporters + + operator_memory = ExporterSpec(kind="in_memory", endpoint=None, headers=None) + + kept = credential_gated_exporters((operator_memory,), ExporterOwner.LANGFUSE_OTEL) + + assert kept[0] == operator_memory + + def test_the_synthesized_stdout_placeholder_is_dropped(self, monkeypatch): + from litellm.integrations.otel.presets.utils import credential_gated_exporters + + for name in _OTEL_SHORTHAND_ENV: + monkeypatch.delenv(name, raising=False) + placeholder = OpenTelemetryV2Config().exporters[0] + + kept = credential_gated_exporters((placeholder,), ExporterOwner.LANGFUSE_OTEL) + + assert [spec.owner for spec in kept] == [ExporterOwner.LANGFUSE_OTEL] + + def test_a_console_exporter_the_operator_named_survives(self, monkeypatch): + """Same kind, endpoint and headers as the placeholder; only the fact that the + operator set ``OTEL_EXPORTER`` tells them apart.""" + from litellm.integrations.otel.presets.utils import credential_gated_exporters + + for name in _OTEL_SHORTHAND_ENV: + monkeypatch.delenv(name, raising=False) + monkeypatch.setenv("OTEL_EXPORTER", "console") + operator_console = OpenTelemetryV2Config().exporters[0] + + kept = credential_gated_exporters((operator_console,), ExporterOwner.LANGFUSE_OTEL) + + assert kept[0] is operator_console + + +class TestTenantHostSsrfGuard: + """Anyone who can mint a key can write ``langfuse_host``, so the host it names has + to be one the operator approved.""" + + @pytest.fixture(autouse=True) + def _guard_on(self, monkeypatch): + from litellm.integrations.otel.presets.destinations import _warn_host_not_allowlisted + + monkeypatch.setattr(litellm, "provider_url_destination_allowed_hosts", [], raising=False) + _warn_host_not_allowlisted.cache_clear() + yield + _warn_host_not_allowlisted.cache_clear() + + @staticmethod + def _langfuse(host: str) -> Mapping[str, str]: + return {"langfuse_public_key": "pk", "langfuse_secret_key": "sk", "langfuse_host": host} + + @pytest.mark.parametrize( + "host", + [ + "http://127.0.0.1:9111", + "http://169.254.169.254", + "http://10.0.0.5:3000", + "https://collector.example.com", + "https://langfuse.corp:99999", + "ftp://collector.example.com", + ], + ) + def test_a_host_the_operator_never_approved_resolves_to_nothing(self, host): + assert destination_for("langfuse_otel", self._langfuse(host)) is None + + def test_userinfo_naming_an_allowlisted_host_does_not_smuggle_a_second_one(self, monkeypatch): + """``https://allowed@10.0.0.5`` reads as the allowlisted host to the eye and + posts to 10.0.0.5 on the wire.""" + monkeypatch.setattr(litellm, "provider_url_destination_allowed_hosts", ["collector.example.com"], raising=False) + + assert destination_for("langfuse_otel", self._langfuse("https://collector.example.com@10.0.0.5")) is None + + def test_a_malformed_host_does_not_take_the_other_backends_with_it(self, monkeypatch): + """``urlparse(...).port`` raises a bare ValueError, which would escape + ``destination_for`` and kill the whole resolution.""" + monkeypatch.setenv("LITELLM_OTEL_V2", "true") + monkeypatch.setenv("NEW_RELIC_OTEL_ENDPOINT", "https://otlp.nr-data.net") + monkeypatch.setattr(litellm, "provider_url_destination_allowed_hosts", ["collector.example.com"], raising=False) + is_otel_v2_enabled.cache_clear() + auth = UserAPIKeyAuth( + token="hashed", + team_metadata={ + "logging": [ + {"callback_name": "langfuse_otel", "callback_vars": self._langfuse("https://lf.corp:99999")}, + {"callback_name": "newrelic", "callback_vars": {"newrelic_api_key": "nr"}}, + ] + }, + ) + + assert [d.callback_name for d in resolve_tenant_otel_destinations(auth)] == ["newrelic"] + + def test_the_operator_can_allowlist_its_teams_internal_langfuse(self, monkeypatch): + monkeypatch.setattr(litellm, "provider_url_destination_allowed_hosts", ["127.0.0.1:9111"], raising=False) + + destination = destination_for("langfuse_otel", self._langfuse("http://127.0.0.1:9111")) + + assert destination.endpoint == "http://127.0.0.1:9111/api/public/otel" + + def test_the_operators_own_internal_host_is_never_blocked(self, monkeypatch): + """The operator configures ``LANGFUSE_HOST`` themselves, so an internal + collector there is a deployment choice rather than caller-supplied input.""" + monkeypatch.setenv("LANGFUSE_HOST", "http://127.0.0.1:9111") + + destination = destination_for("langfuse_otel", {"langfuse_public_key": "pk", "langfuse_secret_key": "sk"}) + + assert destination.endpoint == "http://127.0.0.1:9111/api/public/otel" + + def test_an_allowlisted_host_is_taken_without_resolving_it(self, monkeypatch): + """The check runs on the asyncio auth path, so it must not block on a name the + caller chose. ``.invalid`` never resolves, and it is still accepted.""" + monkeypatch.setattr(litellm, "provider_url_destination_allowed_hosts", ["lf.invalid"], raising=False) + + destination = destination_for("langfuse_otel", self._langfuse("https://lf.invalid")) + + assert destination.endpoint == "https://lf.invalid/api/public/otel" + + def test_a_rejected_host_is_warned_about_once(self, caplog): + with caplog.at_level("WARNING", logger="LiteLLM"): + for _ in range(3): + destination_for("langfuse_otel", self._langfuse("http://10.0.0.5:3000")) + + assert sum("provider_url_destination_allowed_hosts" in record.message for record in caplog.records) == 1 diff --git a/tests/test_litellm/integrations/otel/test_otel_v2_logger.py b/tests/test_litellm/integrations/otel/test_otel_v2_logger.py index b735abaf7bf..2869c804c07 100644 --- a/tests/test_litellm/integrations/otel/test_otel_v2_logger.py +++ b/tests/test_litellm/integrations/otel/test_otel_v2_logger.py @@ -2041,7 +2041,7 @@ def test_select_global_otel_v2_logger_builds_one_when_none_registered(): assert isinstance(chosen, OpenTelemetryV2) -def test_publish_global_otel_v2_provider_sets_selected_logger_provider(): +def test_publish_global_otel_v2_provider_sets_selected_logger_provider(monkeypatch): """The startup publish must set the OTel global provider to the *selected* logger's provider (the preset logger that owns every exporter), so the FastAPI server span and the gen-ai spans share one provider and one trace. @@ -2051,8 +2051,10 @@ def test_publish_global_otel_v2_provider_sets_selected_logger_provider(): test would otherwise miss: that the published provider is the selected logger's, not some other. """ + from litellm.integrations.otel import logger as otel_logger from litellm.integrations.otel.logger import publish_global_otel_v2_provider + monkeypatch.setattr(otel_logger, "_published_v2_provider", None) cfg = OpenTelemetryV2Config(exporter="in_memory") tp = providers.build_tracer_provider(cfg) preset_logger = OpenTelemetryV2( diff --git a/tests/test_litellm/integrations/test_azure_sentinel.py b/tests/test_litellm/integrations/test_azure_sentinel.py index 038197c06c5..ecb7afd4ffb 100644 --- a/tests/test_litellm/integrations/test_azure_sentinel.py +++ b/tests/test_litellm/integrations/test_azure_sentinel.py @@ -867,6 +867,45 @@ async def test_azure_sentinel_concurrent_threshold_sends_collapse_into_one_attem assert getattr(logger, queue_attr) == [] +@pytest.mark.asyncio +@pytest.mark.parametrize("queue_attr, send_method, build_payloads", QUEUE_CASES) +async def test_azure_sentinel_batch_size_bounds_every_request_under_concurrent_events( + queue_attr, send_method, build_payloads +): + """Lowering batch_size is the documented way to stay under the ingestion cap, so no request may + carry more than batch_size records even when events keep landing while a send is on the wire, + and every one of those records still has to arrive exactly once.""" + logger = _build_logger(batch_size=5) + records = build_payloads(40) + + attempts = [] + first_send_started = asyncio.Event() + release_first_send = asyncio.Event() + + async def _on_ingest(data): + attempts.append([record["id"] for record in json.loads(data.decode("utf-8"))]) + if len(attempts) == 1: + first_send_started.set() + await release_first_send.wait() + return _accepted() + + _install_ingestion(logger, _on_ingest) + + sends = [asyncio.create_task(_log(logger, queue_attr, record)) for record in records] + await asyncio.wait_for(first_send_started.wait(), timeout=10) + + assert attempts == [[record["id"] for record in records[:5]]] + assert getattr(logger, queue_attr) == records[5:] + + release_first_send.set() + await asyncio.wait_for(asyncio.gather(*sends), timeout=10) + await logger.flush_queue() + + assert max(len(attempt) for attempt in attempts) <= 5 + assert [record_id for attempt in attempts for record_id in attempt] == [record["id"] for record in records] + assert getattr(logger, queue_attr) == [] + + @pytest.mark.asyncio @pytest.mark.parametrize("queue_attr, send_method, build_payloads", QUEUE_CASES) async def test_azure_sentinel_requeues_a_cancelled_send( diff --git a/tests/test_litellm/integrations/test_custom_guardrail.py b/tests/test_litellm/integrations/test_custom_guardrail.py index cd8d609cf71..ddc8439a83a 100644 --- a/tests/test_litellm/integrations/test_custom_guardrail.py +++ b/tests/test_litellm/integrations/test_custom_guardrail.py @@ -1842,12 +1842,14 @@ class _ApplyStyleGuardrail(CustomGuardrail): self.block = block self.apply_called = False self.seen_texts = None + self.seen_request_data = None async def apply_guardrail(self, inputs, request_data, input_type, logging_obj=None): from fastapi import HTTPException self.apply_called = True self.seen_texts = inputs.get("texts") + self.seen_request_data = request_data if self.block: raise HTTPException(status_code=400, detail={"error": "Violated moderation policy"}) return inputs @@ -2646,6 +2648,91 @@ class TestCustomGuardrailPostCallSuccessDeploymentHook: which starved every later callback in litellm.callbacks (notably the lazily-appended VectorStorePreCallHook that attaches provider_specific_fields["search_results"]).""" + @pytest.mark.asyncio + async def test_apply_guardrail_retains_request_identity(self) -> None: + from litellm.types.guardrails import GuardrailEventHooks + from litellm.types.utils import Choices, Message, ModelResponse + + guardrail: Final = _ApplyStyleGuardrail(block=False) + guardrail.event_hook = GuardrailEventHooks.post_call + request_data: Final = {"guardrails": ["apply-style-guardrail"]} + response: Final = ModelResponse(choices=[Choices(message=Message(content="review me"))]) + + await guardrail.async_post_call_success_deployment_hook( + request_data=request_data, response=response, call_type=CallTypes.acompletion + ) + + assert guardrail.seen_request_data is request_data + assert guardrail.seen_texts == ["review me"] + assert "guardrail_to_apply" not in request_data + + @pytest.mark.asyncio + @pytest.mark.parametrize("call_type", (None, CallTypes.acompletion)) + async def test_apply_guardrail_masks_response_and_records_metadata(self, call_type: CallTypes | None) -> None: + from litellm.proxy.guardrails.guardrail_hooks.litellm_content_filter.content_filter import ( + ContentFilterGuardrail, + ) + from litellm.types.guardrails import BlockedWord, ContentFilterAction, GuardrailEventHooks + from litellm.types.utils import Choices, Message, ModelResponse + + guardrail: Final = ContentFilterGuardrail( + guardrail_name="response-filter", + event_hook=GuardrailEventHooks.post_call, + blocked_words=[BlockedWord(keyword="secret", action=ContentFilterAction.MASK)], + ) + request_data: Final = {"guardrails": ["response-filter"]} + response: Final = ModelResponse(choices=[Choices(message=Message(content="a secret"))]) + + result: Final = await guardrail.async_post_call_success_deployment_hook( + request_data=request_data, response=response, call_type=call_type + ) + + assert isinstance(result, ModelResponse) + assert result.choices[0].message.content == f"a {guardrail.keyword_redaction_tag}" + entries: Final = _guardrail_entries(request_data) + assert len(entries) == 1 + assert entries[0]["guardrail_name"] == "response-filter" + assert entries[0]["guardrail_mode"] == "post_call" + assert "guardrail_to_apply" not in request_data + + @pytest.mark.asyncio + @pytest.mark.parametrize("error_type", (None, RuntimeError, asyncio.CancelledError)) + async def test_dispatch_cleans_up_request_on_every_exit(self, error_type: type[BaseException] | None) -> None: + from contextlib import nullcontext + + from litellm.integrations.custom_logger import CustomLogger + from litellm.types.utils import LLMResponseTypes, ModelResponse + + error: Final = error_type("dispatch interrupted") if error_type is not None else None + + class Dispatch(CustomLogger): + request_data: dict[str, object] | None = None + + async def async_post_call_success_hook( + self, data: dict[str, object], user_api_key_dict: UserAPIKeyAuth, response: LLMResponseTypes + ) -> LLMResponseTypes: + self.request_data = data + if error is not None: + raise error + return response + + dispatch: Final = Dispatch() + + class Guardrail(_ApplyStyleGuardrail): + def _deployment_hook_target(self) -> CustomLogger: + return dispatch + + guardrail: Final = Guardrail(block=False) + guardrail.event_hook = GuardrailEventHooks.post_call + request_data: Final = {"guardrails": ["apply-style-guardrail"]} + with pytest.raises(error_type) if error_type is not None else nullcontext(): + await guardrail.async_post_call_success_deployment_hook( + request_data=request_data, response=ModelResponse(), call_type=CallTypes.acompletion + ) + + assert dispatch.request_data is request_data + assert "guardrail_to_apply" not in request_data + @pytest.mark.asyncio async def test_returns_none_when_request_has_no_guardrails(self): from litellm.types.utils import ModelResponse @@ -2740,4 +2827,5 @@ class TestCustomGuardrailPostCallSuccessDeploymentHook: assert result is response assert response.choices[0].message.content == "filtered response" - assert request_data == {"guardrails": ["test-guardrail"]} + assert "guardrail_to_apply" not in request_data + assert len(_guardrail_entries(request_data)) == 1 diff --git a/tests/test_litellm/integrations/test_mlflow.py b/tests/test_litellm/integrations/test_mlflow.py index 61010f8531c..f828c34a9ff 100644 --- a/tests/test_litellm/integrations/test_mlflow.py +++ b/tests/test_litellm/integrations/test_mlflow.py @@ -195,3 +195,70 @@ def test_mlflow_stream_handler_uses_async_complete_response(): is final_response ) assert "abc123" not in mlflow_logger._stream_id_to_span + + +def test_mlflow_stream_handler_pops_span_when_end_raises(): + modules = _mock_mlflow_modules() + with patch.dict("sys.modules", modules): + from litellm.integrations.mlflow import MlflowLogger + + mlflow_logger = MlflowLogger() + mlflow_logger._start_span_or_trace = MagicMock(return_value="mock_span") + mlflow_logger._end_span_or_trace = MagicMock( + side_effect=TypeError("unexpected keyword argument 'trace_id'") + ) + mlflow_logger._extract_and_set_chat_attributes = MagicMock() + + response_obj = MagicMock() + response_obj.choices = [] + + kwargs = { + "litellm_call_id": "leak123", + "complete_streaming_response": MagicMock(), + } + + with pytest.raises(TypeError): + mlflow_logger._handle_stream_event( + kwargs=kwargs, + response_obj=response_obj, + start_time=datetime.utcnow(), + end_time=datetime.utcnow(), + ) + + assert "leak123" not in mlflow_logger._stream_id_to_span + + +class _Mlflow2StyleClient: + """Mimics the mlflow 2.x client signatures, which have no trace_id kwarg.""" + + def __init__(self): + self.ended_traces = [] + self.ended_spans = [] + + def end_trace(self, request_id, outputs=None, attributes=None, status="OK", end_time_ns=None): + self.ended_traces.append(request_id) + + def end_span(self, request_id, span_id, outputs=None, attributes=None, status="OK", end_time_ns=None): + self.ended_spans.append((request_id, span_id)) + + +def test_mlflow_end_span_or_trace_works_with_mlflow_2x_client(): + modules = _mock_mlflow_modules() + with patch.dict("sys.modules", modules): + from litellm.integrations.mlflow import MlflowLogger + + mlflow_logger = MlflowLogger() + client = _Mlflow2StyleClient() + mlflow_logger._client = client + + root_span = MagicMock(parent_id=None, request_id="req-1") + mlflow_logger._end_span_or_trace( + span=root_span, outputs="out", end_time_ns=1, status="OK" + ) + assert client.ended_traces == ["req-1"] + + child_span = MagicMock(parent_id="parent-1", request_id="req-2", span_id="span-2") + mlflow_logger._end_span_or_trace( + span=child_span, outputs="out", end_time_ns=1, status="OK" + ) + assert client.ended_spans == [("req-2", "span-2")] diff --git a/tests/test_litellm/litellm_core_utils/llm_cost_calc/test_llm_cost_calc_utils.py b/tests/test_litellm/litellm_core_utils/llm_cost_calc/test_llm_cost_calc_utils.py index 59f0938e338..fbb9d178390 100644 --- a/tests/test_litellm/litellm_core_utils/llm_cost_calc/test_llm_cost_calc_utils.py +++ b/tests/test_litellm/litellm_core_utils/llm_cost_calc/test_llm_cost_calc_utils.py @@ -1,9 +1,11 @@ import json +from datetime import datetime, timezone import pytest from fastapi.testclient import TestClient import litellm +from litellm._internal_context import pinned_billing_time from litellm.litellm_core_utils.llm_cost_calc.tool_call_cost_tracking import ( StandardBuiltInToolCostTracking, ) @@ -27,10 +29,10 @@ from litellm.types.utils import ( ) from litellm.litellm_core_utils.llm_cost_calc.utils import ( + BilledTokenRates, CostCalculatorUtils, PromptTokensDetailsResult, TokenRates, - TokenTypeCostBreakdown, _calculate_input_cost, _get_token_base_cost, _is_off_peak, @@ -38,6 +40,7 @@ from litellm.litellm_core_utils.llm_cost_calc.utils import ( apply_off_peak_pricing, calculate_cache_writing_cost, generic_cost_per_token, + get_billed_token_rates, get_token_type_cost_breakdown, ) from litellm.types.utils import CacheCreationTokenDetails, Usage @@ -2658,6 +2661,7 @@ def test_cache_writing_cost_with_zero_creation_tokens_and_ephemeral_details(): "image_count": 0, "video_length_seconds": 0.0, "audio_length_seconds": 0.0, + "query_count": 0, } model_info: ModelInfo = {} @@ -3239,6 +3243,37 @@ def test_image_count_prevents_text_tokens_fallback(_local_model_cost_map): assert completion_cost == 0.0 +def test_query_count_bills_input_cost_per_query(_local_model_cost_map): + usage = Usage( + prompt_tokens=0, + completion_tokens=0, + total_tokens=0, + prompt_tokens_details=PromptTokensDetailsWrapper(query_count=3, image_count=1), + ) + + prompt_cost, completion_cost = generic_cost_per_token( + model="us.twelvelabs.marengo-embed-3-0-v1:0", + usage=usage, + custom_llm_provider="bedrock", + ) + + assert prompt_cost == pytest.approx(3 * 7e-05 + 1e-04) + assert completion_cost == 0.0 + + +def test_query_count_is_free_without_a_per_query_price(_local_model_cost_map): + usage = Usage( + prompt_tokens=0, + completion_tokens=0, + total_tokens=0, + prompt_tokens_details=PromptTokensDetailsWrapper(query_count=1), + ) + + prompt_cost, _ = generic_cost_per_token(model="text-embedding-3-small", usage=usage, custom_llm_provider="openai") + + assert prompt_cost == 0.0 + + # --------------------------------------------------------------------------- # Data-residency (OpenAI regional processing) tests # --------------------------------------------------------------------------- @@ -3874,6 +3909,200 @@ def test_token_type_cost_breakdown_reconciles_with_generic_total(_local_model_co assert text_input_cost + breakdown.cache_read_cost == pytest.approx(prompt_cost) +def _custom_priced_usage() -> Usage: + return Usage( + prompt_tokens=1000, + completion_tokens=500, + total_tokens=1500, + prompt_tokens_details=PromptTokensDetailsWrapper(cached_tokens=800, cache_creation_tokens=100), + completion_tokens_details=CompletionTokensDetailsWrapper(reasoning_tokens=200), + ) + + +def test_token_type_cost_breakdown_prices_custom_pricing_from_its_flat_rates(): + """ + A custom-priced deployment, usually absent from the cost map, used to get zero cache and + reasoning lines while its total already billed cache tokens at the custom cache rates. + The lines must come from the same flat rates: a configured cache rate, else the input + rate for cache tokens and the output rate for reasoning tokens. + """ + from litellm.types.utils import CostPerToken + + breakdown = get_token_type_cost_breakdown( + model="openai/onprem-model", + custom_llm_provider="openai", + usage=_custom_priced_usage(), + custom_cost_per_token=CostPerToken( + input_cost_per_token=1e-6, output_cost_per_token=2e-6, cache_read_input_token_cost=1e-7 + ), + ) + + assert breakdown.cache_read_cost == pytest.approx(800 * 1e-7) + assert breakdown.cache_creation_cost == pytest.approx(100 * 1e-6) + assert breakdown.reasoning_cost == pytest.approx(200 * 2e-6) + + +def test_token_type_cost_breakdown_reconciles_with_custom_pricing_totals(): + from litellm.cost_calculator import cost_per_token + from litellm.types.utils import CostPerToken + + usage = _custom_priced_usage() + custom_cost_per_token = CostPerToken( + input_cost_per_token=1e-6, + output_cost_per_token=2e-6, + cache_read_input_token_cost=1e-7, + cache_creation_input_token_cost=1.25e-6, + ) + + prompt_cost, completion_cost = cost_per_token( + model="openai/onprem-model", + custom_llm_provider="openai", + prompt_tokens=1000, + completion_tokens=500, + usage_object=usage, + custom_cost_per_token=custom_cost_per_token, + ) + breakdown = get_token_type_cost_breakdown( + model="openai/onprem-model", + custom_llm_provider="openai", + usage=usage, + custom_cost_per_token=custom_cost_per_token, + ) + + assert 100 * 1e-6 + breakdown.cache_read_cost + breakdown.cache_creation_cost == pytest.approx(prompt_cost) + assert 300 * 2e-6 + breakdown.reasoning_cost == pytest.approx(completion_cost) + + +def test_billed_token_rates_follow_the_token_tier_the_breakdown_bills_at(monkeypatch): + monkeypatch.setitem( + litellm.model_cost, + "tiered-cache-model", + { + "input_cost_per_token": 3e-6, + "output_cost_per_token": 15e-6, + "cache_read_input_token_cost": 3e-7, + "cache_creation_input_token_cost": 3.75e-6, + "input_cost_per_token_above_200k_tokens": 6e-6, + "output_cost_per_token_above_200k_tokens": 3e-5, + "cache_read_input_token_cost_above_200k_tokens": 6e-7, + "cache_creation_input_token_cost_above_200k_tokens": 7.5e-6, + "litellm_provider": "openai", + "mode": "chat", + }, + ) + usage = Usage( + prompt_tokens=250_000, + completion_tokens=1_000, + total_tokens=251_000, + prompt_tokens_details=PromptTokensDetailsWrapper(cached_tokens=200_000, cache_creation_tokens=10_000), + completion_tokens_details=CompletionTokensDetailsWrapper(reasoning_tokens=200), + ) + + rates = get_billed_token_rates(model="tiered-cache-model", custom_llm_provider="openai", usage=usage) + breakdown = get_token_type_cost_breakdown(model="tiered-cache-model", custom_llm_provider="openai", usage=usage) + + assert rates == BilledTokenRates( + input_cost_per_token=6e-6, + output_cost_per_token=3e-5, + cache_read_input_token_cost=6e-7, + cache_creation_input_token_cost=7.5e-6, + cache_creation_input_token_cost_above_1hr=0.0, + output_cost_per_reasoning_token=3e-5, + ) + assert breakdown.cache_read_cost == pytest.approx(200_000 * rates.cache_read_input_token_cost) + assert breakdown.cache_creation_cost == pytest.approx(10_000 * rates.cache_creation_input_token_cost) + assert breakdown.reasoning_cost == pytest.approx(200 * rates.output_cost_per_reasoning_token) + + +def test_a_pinned_billing_time_prices_the_totals_and_the_reported_rates_at_one_moment(monkeypatch): + """Totals and reported rates resolve off-peak pricing on separate paths that each read the + clock, so a window opening between the two reads used to leave them describing one request + at two different prices. Pinned, both must answer for the pinned moment.""" + monkeypatch.setitem( + litellm.model_cost, + "off-peak-model", + { + "input_cost_per_token": 3e-6, + "output_cost_per_token": 15e-6, + "off_peak_pricing": { + "hours_utc": "02:00-03:00", + "input_cost_per_token": 1e-6, + "output_cost_per_token": 5e-6, + }, + "litellm_provider": "openai", + "mode": "chat", + }, + ) + usage = Usage(prompt_tokens=1000, completion_tokens=500, total_tokens=1500) + + with pinned_billing_time(datetime(2026, 1, 1, 2, 30, tzinfo=timezone.utc)): + off_peak_prompt_cost, off_peak_completion_cost = generic_cost_per_token( + model="off-peak-model", usage=usage, custom_llm_provider="openai" + ) + off_peak_rates = get_billed_token_rates(model="off-peak-model", custom_llm_provider="openai", usage=usage) + with pinned_billing_time(datetime(2026, 1, 1, 12, 30, tzinfo=timezone.utc)): + peak_prompt_cost, peak_completion_cost = generic_cost_per_token( + model="off-peak-model", usage=usage, custom_llm_provider="openai" + ) + peak_rates = get_billed_token_rates(model="off-peak-model", custom_llm_provider="openai", usage=usage) + + assert off_peak_rates.input_cost_per_token == pytest.approx(1e-6) + assert peak_rates.input_cost_per_token == pytest.approx(3e-6) + assert off_peak_prompt_cost == pytest.approx(1000 * off_peak_rates.input_cost_per_token) + assert off_peak_completion_cost == pytest.approx(500 * off_peak_rates.output_cost_per_token) + assert peak_prompt_cost == pytest.approx(1000 * peak_rates.input_cost_per_token) + assert peak_completion_cost == pytest.approx(500 * peak_rates.output_cost_per_token) + + +def test_the_token_type_breakdown_carries_the_rates_it_billed_at(monkeypatch): + """Callers that report both the lines and the rates read the rates off the breakdown rather than + resolving them a second time, so the breakdown has to hand back exactly what it billed at.""" + monkeypatch.setitem( + litellm.model_cost, + "xai/tiered-model", + { + "input_cost_per_token": 3e-6, + "output_cost_per_token": 15e-6, + "cache_read_input_token_cost": 3e-7, + "input_cost_per_token_above_200k_tokens": 6e-6, + "output_cost_per_token_above_200k_tokens": 3e-5, + "cache_read_input_token_cost_above_200k_tokens": 6e-7, + "litellm_provider": "xai", + "mode": "chat", + }, + ) + usage = Usage( + prompt_tokens=200_000, + completion_tokens=1_000, + total_tokens=201_000, + prompt_tokens_details=PromptTokensDetailsWrapper(cached_tokens=100_000), + ) + + breakdown = get_token_type_cost_breakdown(model="xai/tiered-model", custom_llm_provider="xai", usage=usage) + + assert breakdown.rates == get_billed_token_rates( + model="xai/tiered-model", custom_llm_provider="xai", usage=usage + ) + assert breakdown.rates.cache_read_input_token_cost == pytest.approx(6e-7) + assert breakdown.cache_read_cost == pytest.approx(100_000 * breakdown.rates.cache_read_input_token_cost) + + +def test_the_token_type_breakdown_reports_no_rates_for_an_unpriced_model(): + usage = Usage(prompt_tokens=10, completion_tokens=5, total_tokens=15) + + breakdown = get_token_type_cost_breakdown( + model="no-such-model-anywhere", custom_llm_provider="openai", usage=usage + ) + + assert breakdown.rates is None + + +def test_billed_token_rates_are_none_for_an_unpriced_model(): + usage = Usage(prompt_tokens=10, completion_tokens=5, total_tokens=15) + + assert get_billed_token_rates(model="no-such-model-anywhere", custom_llm_provider="openai", usage=usage) is None + + def test_token_type_cost_breakdown_zero_without_special_tokens(_local_model_cost_map): usage = Usage(prompt_tokens=100, completion_tokens=50, total_tokens=150) @@ -3881,9 +4110,7 @@ def test_token_type_cost_breakdown_zero_without_special_tokens(_local_model_cost model="gpt-4o", custom_llm_provider="openai", usage=usage ) - assert breakdown == TokenTypeCostBreakdown( - reasoning_cost=0.0, cache_read_cost=0.0, cache_creation_cost=0.0 - ) + assert (breakdown.reasoning_cost, breakdown.cache_read_cost, breakdown.cache_creation_cost) == (0.0, 0.0, 0.0) @pytest.mark.parametrize( @@ -3955,9 +4182,7 @@ def test_token_type_cost_breakdown_handles_unknown_model_gracefully(): completion_tokens_details=CompletionTokensDetailsWrapper(reasoning_tokens=5), ), ) - assert breakdown == TokenTypeCostBreakdown( - reasoning_cost=0.0, cache_read_cost=0.0, cache_creation_cost=0.0 - ) + assert (breakdown.reasoning_cost, breakdown.cache_read_cost, breakdown.cache_creation_cost) == (0.0, 0.0, 0.0) def test_token_type_cost_breakdown_applies_regional_uplift(_local_model_cost_map): diff --git a/tests/test_litellm/litellm_core_utils/test_get_model_cost_map.py b/tests/test_litellm/litellm_core_utils/test_get_model_cost_map.py index 18185126775..c509c8399c9 100644 --- a/tests/test_litellm/litellm_core_utils/test_get_model_cost_map.py +++ b/tests/test_litellm/litellm_core_utils/test_get_model_cost_map.py @@ -6,6 +6,8 @@ count actual model entries, not reserved meta keys) and the extraction of the import json import os +import sys +import threading import pytest @@ -20,21 +22,29 @@ from litellm.litellm_core_utils.get_model_cost_map import ( GetModelCostMap, _count_model_entries, _finalize_model_cost_map, + get_model_cost_map_provenance, + git_blob_id, ) def _load_root_cost_map() -> dict: - path = os.path.join( - os.path.dirname(__file__), "../../../model_prices_and_context_window.json" - ) + path = os.path.join(os.path.dirname(__file__), "../../../model_prices_and_context_window.json") with open(path) as f: return json.load(f) +def _bundled_blob_id() -> str: + path = os.path.join(os.path.dirname(__file__), "../../../litellm/model_prices_and_context_window_backup.json") + with open(path, "rb") as f: + return git_blob_id(f.read()) + + +def test_git_blob_id_is_what_git_hash_object_prints(): + assert git_blob_id(b'{"gpt-5.4-mini": {"mode": "chat"}}\n') == "18b9a8381e13a3b38a2128f184f631f95829e987" + + def _make_models(n: int) -> dict: - return { - f"model-{i}": {"litellm_provider": "openai", "mode": "chat"} for i in range(n) - } + return {f"model-{i}": {"litellm_provider": "openai", "mode": "chat"} for i in range(n)} def test_count_model_entries_excludes_reserved_keys(): @@ -117,9 +127,7 @@ def test_finalize_pops_key_and_installs_rules(): def test_finalize_with_no_block_clears_rules(): previous = list(get_fallback_generalization_rules()) try: - set_fallback_generalizations( - [{"name": "stale", "pattern": r"^x", "model_info": {"a": 1}}] - ) + set_fallback_generalizations([{"name": "stale", "pattern": r"^x", "model_info": {"a": 1}}]) _finalize_model_cost_map(_make_models(2)) assert match_capability_generalizations("x-1") is None finally: @@ -298,17 +306,14 @@ def test_openrouter_catalog_costs_match_live_headline_rates(cost_map: dict): assert entry["output_cost_per_token"] != stale_out, model -def test_get_model_cost_map_stamps_loaded_at(monkeypatch): +def test_get_model_cost_map_stamps_loaded_at(): """The load time feeds each pod's reload-due decision; a load that does not stamp it would make manual reload requests race the proxy's startup""" from datetime import datetime, timezone from litellm.litellm_core_utils import get_model_cost_map as module - monkeypatch.setattr(module._cost_map_source_info, "loaded_at", None) - client, _calls = _mock_client( - [httpx.Response(200, content=_real_map_bytes())], client_cls=httpx.Client - ) + client, _calls = _mock_client([httpx.Response(200, content=_real_map_bytes())], client_cls=httpx.Client) before = datetime.now(timezone.utc) module.get_model_cost_map(url="https://example.invalid/cost_map.json", client=client) @@ -317,12 +322,14 @@ def test_get_model_cost_map_stamps_loaded_at(monkeypatch): assert loaded_at is not None assert before <= loaded_at <= datetime.now(timezone.utc) + # --------------------------------------------------------------------------- # refetch_model_cost_map: retry/backoff behavior for runtime reloads # --------------------------------------------------------------------------- import functools import random +from datetime import datetime, timezone import httpx @@ -382,9 +389,7 @@ async def test_refetch_retries_429_honoring_retry_after(): ] ) sleeper = _SleepRecorder() - result = await refetch_model_cost_map( - url=_URL, sleep=sleeper, rng=random.Random(0), client=client - ) + result = await refetch_model_cost_map(url=_URL, sleep=sleeper, rng=random.Random(0), client=client) assert isinstance(result, ModelCostMapReloaded) assert len(result.model_cost_map) > 100 assert calls["count"] == 3 @@ -396,9 +401,7 @@ async def test_refetch_gives_up_after_max_attempts_with_exponential_backoff(): """All 429 without Retry-After: exponential backoff waits, then a failure value.""" client, calls = _mock_client([httpx.Response(429)]) sleeper = _SleepRecorder() - result = await refetch_model_cost_map( - url=_URL, sleep=sleeper, rng=random.Random(0), client=client - ) + result = await refetch_model_cost_map(url=_URL, sleep=sleeper, rng=random.Random(0), client=client) assert isinstance(result, ModelCostMapReloadUnavailable) assert "429" in result.reason assert "after 3 attempts" in result.reason @@ -418,9 +421,7 @@ async def test_refetch_caps_retry_after_wait(): ] ) sleeper = _SleepRecorder() - result = await refetch_model_cost_map( - url=_URL, sleep=sleeper, rng=random.Random(0), client=client - ) + result = await refetch_model_cost_map(url=_URL, sleep=sleeper, rng=random.Random(0), client=client) assert isinstance(result, ModelCostMapReloaded) assert sleeper.waits == [30.0] @@ -435,9 +436,7 @@ async def test_refetch_retries_transport_errors(): ] ) sleeper = _SleepRecorder() - result = await refetch_model_cost_map( - url=_URL, sleep=sleeper, rng=random.Random(0), client=client - ) + result = await refetch_model_cost_map(url=_URL, sleep=sleeper, rng=random.Random(0), client=client) assert isinstance(result, ModelCostMapReloaded) assert calls["count"] == 2 assert len(sleeper.waits) == 1 @@ -448,9 +447,7 @@ async def test_refetch_non_retryable_status_fails_immediately(): """A 404 is permanent: one attempt, no sleeps, failure value.""" client, calls = _mock_client([httpx.Response(404)]) sleeper = _SleepRecorder() - result = await refetch_model_cost_map( - url=_URL, sleep=sleeper, rng=random.Random(0), client=client - ) + result = await refetch_model_cost_map(url=_URL, sleep=sleeper, rng=random.Random(0), client=client) assert isinstance(result, ModelCostMapReloadUnavailable) assert "404" in result.reason assert calls["count"] == 1 @@ -461,9 +458,7 @@ async def test_refetch_non_retryable_status_fails_immediately(): async def test_refetch_invalid_json_fails_immediately(): client, calls = _mock_client([httpx.Response(200, content=b"not json")]) sleeper = _SleepRecorder() - result = await refetch_model_cost_map( - url=_URL, sleep=sleeper, rng=random.Random(0), client=client - ) + result = await refetch_model_cost_map(url=_URL, sleep=sleeper, rng=random.Random(0), client=client) assert isinstance(result, ModelCostMapReloadUnavailable) assert "invalid JSON" in result.reason assert calls["count"] == 1 @@ -475,9 +470,7 @@ async def test_refetch_shrunk_map_fails_integrity_not_swapped_in(): """A drastically shrunk upstream file is rejected instead of being adopted.""" tiny = json.dumps(_make_models(60)).encode() client, _calls = _mock_client([httpx.Response(200, content=tiny)]) - result = await refetch_model_cost_map( - url=_URL, sleep=_SleepRecorder(), rng=random.Random(0), client=client - ) + result = await refetch_model_cost_map(url=_URL, sleep=_SleepRecorder(), rng=random.Random(0), client=client) assert isinstance(result, ModelCostMapReloadUnavailable) assert "integrity validation" in result.reason @@ -500,6 +493,67 @@ async def test_refetch_respects_local_env_override(monkeypatch): assert len(result.model_cost_map) > 100 +@pytest.mark.asyncio +async def test_refetch_records_the_blob_id_of_the_bytes_served_and_the_fetch_etag(): + body = _real_map_bytes() + client, _ = _mock_client([httpx.Response(200, headers={"ETag": 'W/"abc123"'}, content=body)]) + + result = await refetch_model_cost_map(url=_URL, sleep=_SleepRecorder(), rng=random.Random(0), client=client) + + assert isinstance(result, ModelCostMapReloaded) + assert result.revision == git_blob_id(body) + assert result.etag == 'W/"abc123"' + assert get_model_cost_map_provenance() == {"source_revision": git_blob_id(body), "etag": 'W/"abc123"'} + + +@pytest.mark.asyncio +async def test_refetch_revision_follows_the_bytes_not_the_url(): + edited = json.loads(_real_map_bytes()) + edited["gpt-5.4-mini"]["input_cost_per_token"] = 0.5 + client, _ = _mock_client( + [httpx.Response(200, content=_real_map_bytes()), httpx.Response(200, content=json.dumps(edited).encode())] + ) + + first = await refetch_model_cost_map(url=_URL, sleep=_SleepRecorder(), rng=random.Random(0), client=client) + second = await refetch_model_cost_map(url=_URL, sleep=_SleepRecorder(), rng=random.Random(0), client=client) + + assert isinstance(first, ModelCostMapReloaded) and isinstance(second, ModelCostMapReloaded) + assert first.revision != second.revision + assert get_model_cost_map_provenance()["source_revision"] == second.revision + + +@pytest.mark.asyncio +async def test_refetch_local_override_reports_the_bundled_blob_id_without_an_etag(monkeypatch): + remote, _ = _mock_client([httpx.Response(200, headers={"ETag": 'W/"remote"'}, content=_real_map_bytes())]) + await refetch_model_cost_map(url=_URL, sleep=_SleepRecorder(), rng=random.Random(0), client=remote) + monkeypatch.setenv("LITELLM_LOCAL_MODEL_COST_MAP", "True") + + result = await refetch_model_cost_map(url=_URL, sleep=_SleepRecorder(), rng=random.Random(0)) + + assert isinstance(result, ModelCostMapReloaded) + assert result.revision == _bundled_blob_id() + assert get_model_cost_map_provenance() == {"source_revision": _bundled_blob_id(), "etag": None} + + +@pytest.mark.asyncio +async def test_refetch_stamps_loaded_at_on_remote_and_local_reloads(monkeypatch): + from litellm.litellm_core_utils import get_model_cost_map as module + + client, _ = _mock_client([httpx.Response(200, content=_real_map_bytes())]) + before_remote = datetime.now(timezone.utc) + await refetch_model_cost_map(url=_URL, sleep=_SleepRecorder(), rng=random.Random(0), client=client) + remote_loaded_at = module.get_model_cost_map_loaded_at() + assert remote_loaded_at is not None + assert before_remote <= remote_loaded_at <= datetime.now(timezone.utc) + + monkeypatch.setenv("LITELLM_LOCAL_MODEL_COST_MAP", "True") + before_local = datetime.now(timezone.utc) + await refetch_model_cost_map(url=_URL, sleep=_SleepRecorder(), rng=random.Random(0)) + local_loaded_at = module.get_model_cost_map_loaded_at() + assert local_loaded_at is not None + assert before_local <= local_loaded_at <= datetime.now(timezone.utc) + + # --------------------------------------------------------------------------- # get_model_cost_map: the boot-time load retries transient failures like a reload does # --------------------------------------------------------------------------- @@ -513,69 +567,125 @@ from litellm.litellm_core_utils.get_model_cost_map import ( class _SyncSleepRecorder: """Injected in place of time.sleep so the boot path's waits are asserted without delay.""" - def __init__(self): + def __init__(self, block=False): self.waits = [] + self.block = block + self.started = threading.Event() + self.release = threading.Event() def __call__(self, seconds: float) -> None: + if self.block: + self.started.set() + self.release.wait(timeout=10) self.waits.append(seconds) -def test_boot_load_retries_transient_failures_instead_of_falling_back(): - """A refused connection then a 503 at pod boot used to pin the process to the bundled - backup for its lifetime; both are transient and must be retried before giving up.""" +def _retry_threads(): + return [thread for thread in threading.enumerate() if thread.name == "litellm-model-cost-map-retry"] + + +def test_boot_load_success_does_not_start_background_retry(): + client, calls = _mock_client([httpx.Response(200, content=_real_map_bytes())], client_cls=httpx.Client) + sleeper = _SyncSleepRecorder() + + cost_map = get_model_cost_map( + url=_URL, + sleep=sleeper, + rng=random.Random(0), + client=client, + ) + assert calls["count"] == 1 + assert sleeper.waits == [] + assert _retry_threads() == [] + assert cost_map.keys() >= _load_root_cost_map().keys() - {"sample_spec", FALLBACK_GENERALIZATIONS_KEY} + assert get_model_cost_map_source_info()["source"] == "remote" + + +def test_boot_load_transient_failure_returns_local_then_background_retry_adopts_remote(monkeypatch): + import litellm + from litellm import utils as litellm_utils + from litellm.litellm_core_utils import get_model_cost_map as module + + original_model_cost = litellm.model_cost + monkeypatch.setattr(litellm, "model_cost", dict(original_model_cost)) + for name, provider_models in tuple(vars(litellm).items()): + if name.endswith("_models") and isinstance(provider_models, set): + monkeypatch.setattr(litellm, name, set(provider_models)) + monkeypatch.setattr(litellm, "models_by_provider", dict(litellm.models_by_provider)) + monkeypatch.setattr( + litellm_utils, + "_runtime_registered_model_cost", + dict(litellm_utils._runtime_registered_model_cost), + ) + source_info = module._cost_map_source_info + for name in ("source", "url", "is_env_forced", "fallback_reason", "loaded_at", "source_revision", "etag"): + monkeypatch.setattr(source_info, name, getattr(source_info, name)) + + remote_map = _load_root_cost_map() + remote_map["claude-remote-only-test"] = {"litellm_provider": "anthropic", "mode": "chat"} client, calls = _mock_client( [ httpx.ConnectError("connection refused"), - httpx.Response(503), - httpx.Response(200, content=_real_map_bytes()), + httpx.Response(200, content=json.dumps(remote_map).encode()), ], client_cls=httpx.Client, ) - sleeper = _SyncSleepRecorder() + sleeper = _SyncSleepRecorder(block=True) + litellm.register_model({"my-runtime-model": {"litellm_provider": "custom", "max_input_tokens": 4321}}) - cost_map = get_model_cost_map(url=_URL, sleep=sleeper, rng=random.Random(0), client=client) - - assert calls["count"] == 3 - assert len(sleeper.waits) == 2 - assert 2.0 <= sleeper.waits[0] < 3.0 - assert 4.0 <= sleeper.waits[1] < 5.0 - source = get_model_cost_map_source_info() - assert source["source"] == "remote" - assert source["fallback_reason"] is None - assert cost_map.keys() >= _load_root_cost_map().keys() - {"sample_spec", FALLBACK_GENERALIZATIONS_KEY} - - -def test_boot_load_honors_retry_after_then_falls_back_after_max_attempts(): - """An outage longer than the retry budget still ends on the bundled backup, and the - recorded fallback reason says how many attempts were spent so operators can tell.""" - client, calls = _mock_client( - [httpx.Response(429, headers={"Retry-After": "7"})], client_cls=httpx.Client + cost_map = get_model_cost_map( + url=_URL, + max_attempts=3, + sleep=sleeper, + rng=random.Random(0), + client=client, ) - sleeper = _SyncSleepRecorder() - cost_map = get_model_cost_map(url=_URL, sleep=sleeper, rng=random.Random(0), client=client) - - assert calls["count"] == 3 - assert sleeper.waits == [7.0, 7.0] - source = get_model_cost_map_source_info() - assert source["source"] == "local" - assert "after 3 attempts" in source["fallback_reason"] - assert len(cost_map) > 100 + assert calls["count"] == 1 + assert sleeper.waits == [] + assert sleeper.started.wait(timeout=10) + threads = _retry_threads() + try: + assert len(threads) == 1 + assert "claude-remote-only-test" not in cost_map + assert cost_map.keys() == _finalize_model_cost_map(GetModelCostMap.load_local_model_cost_map()).keys() + source = get_model_cost_map_source_info() + assert source["source"] == "local" + assert source["fallback_reason"].startswith("Remote fetch failed:") + sleeper.release.set() + for thread in threads: + thread.join(timeout=10) + assert all(not thread.is_alive() for thread in threads) + assert sleeper.waits and 2.0 <= sleeper.waits[0] < 3.0 + assert calls["count"] == 2 + assert "claude-remote-only-test" in litellm.model_cost + assert "claude-remote-only-test" in litellm.anthropic_models + assert "my-runtime-model" in litellm.model_cost + source = get_model_cost_map_source_info() + assert source["source"] == "remote" + assert source["fallback_reason"] is None + finally: + sleeper.release.set() + for thread in _retry_threads(): + thread.join(timeout=10) -def test_boot_load_does_not_retry_permanent_failures(): - """A 404 or a malformed URL cannot heal by waiting: one attempt, no sleeps, backup.""" +def test_boot_load_does_not_retry_non_retryable_failure(): client, calls = _mock_client([httpx.Response(404)], client_cls=httpx.Client) sleeper = _SyncSleepRecorder() - get_model_cost_map(url=_URL, sleep=sleeper, rng=random.Random(0), client=client) + get_model_cost_map( + url=_URL, + sleep=sleeper, + rng=random.Random(0), + client=client, + ) assert calls["count"] == 1 assert sleeper.waits == [] - assert get_model_cost_map_source_info()["source"] == "local" - - get_model_cost_map(url="not a url", sleep=sleeper, rng=random.Random(0)) - assert sleeper.waits == [] - assert get_model_cost_map_source_info()["source"] == "local" + assert _retry_threads() == [] + source = get_model_cost_map_source_info() + assert source["source"] == "local" + assert source["fallback_reason"] is not None def test_boot_load_respects_local_env_override(monkeypatch): @@ -592,3 +702,77 @@ def test_boot_load_respects_local_env_override(monkeypatch): ) assert len(cost_map) > 100 assert get_model_cost_map_source_info()["is_env_forced"] is True + + +def test_boot_load_records_the_blob_id_of_the_bytes_served_and_the_fetch_etag(): + body = _real_map_bytes() + client, _ = _mock_client([httpx.Response(200, headers={"ETag": 'W/"boot"'}, content=body)], client_cls=httpx.Client) + + get_model_cost_map(url=_URL, sleep=_SyncSleepRecorder(), rng=random.Random(0), client=client) + + source = get_model_cost_map_source_info() + assert source["source"] == "remote" + assert source["etag"] == 'W/"boot"' + assert source["source_revision"] == git_blob_id(body) + assert source["loaded_at"] is not None + + +def test_boot_load_fallback_to_the_backup_reports_its_blob_id_and_drops_the_remote_etag(): + remote, _ = _mock_client( + [httpx.Response(200, headers={"ETag": 'W/"boot"'}, content=_real_map_bytes())], client_cls=httpx.Client + ) + get_model_cost_map(url=_URL, sleep=_SyncSleepRecorder(), rng=random.Random(0), client=remote) + failing, _ = _mock_client([httpx.Response(404)], client_cls=httpx.Client) + + get_model_cost_map(url=_URL, sleep=_SyncSleepRecorder(), rng=random.Random(0), client=failing) + + source = get_model_cost_map_source_info() + assert source["source"] == "local" + assert source["etag"] is None + assert source["source_revision"] == _bundled_blob_id() + + +def test_boot_load_that_fails_the_integrity_check_reports_the_backup_not_the_rejected_fetch(): + remote, _ = _mock_client( + [httpx.Response(200, headers={"ETag": 'W/"boot"'}, content=_real_map_bytes())], client_cls=httpx.Client + ) + get_model_cost_map(url=_URL, sleep=_SyncSleepRecorder(), rng=random.Random(0), client=remote) + shrunk_body = b'{"gpt-5.4-mini": {"mode": "chat", "input_cost_per_token": 1e-06, "output_cost_per_token": 2e-06}}' + shrunk, _ = _mock_client( + [httpx.Response(200, headers={"ETag": 'W/"shrunk"'}, content=shrunk_body)], client_cls=httpx.Client + ) + + get_model_cost_map(url=_URL, sleep=_SyncSleepRecorder(), rng=random.Random(0), client=shrunk) + + source = get_model_cost_map_source_info() + assert source["source"] == "local" + assert source["fallback_reason"] == "Remote data failed integrity validation" + assert source["etag"] is None + assert source["source_revision"] == _bundled_blob_id() + assert source["source_revision"] != git_blob_id(shrunk_body) + + +@pytest.mark.parametrize( + ("argv0", "request_count"), + [ + ("/some/venv/bin/lite", 0), + ("/some/venv/bin/lite.exe", 0), + ("/some/venv/bin/python", 1), + ], +) +def test_boot_load_skips_remote_fetch_for_cli_processes( + monkeypatch: pytest.MonkeyPatch, argv0: str, request_count: int +) -> None: + monkeypatch.setattr(sys, "argv", [argv0, "--version"]) + monkeypatch.delenv("LITELLM_LOCAL_MODEL_COST_MAP", raising=False) + client, calls = _mock_client([httpx.Response(200, content=_real_map_bytes())], client_cls=httpx.Client) + + cost_map = get_model_cost_map(url=_URL, client=client) + + assert calls["count"] == request_count + assert cost_map + source = get_model_cost_map_source_info() + if request_count == 0: + assert source["source"] == "local" + else: + assert source["source"] == "remote" diff --git a/tests/test_litellm/litellm_core_utils/test_litellm_logging.py b/tests/test_litellm/litellm_core_utils/test_litellm_logging.py index b6366bc803e..6aa77745e3d 100644 --- a/tests/test_litellm/litellm_core_utils/test_litellm_logging.py +++ b/tests/test_litellm/litellm_core_utils/test_litellm_logging.py @@ -6074,15 +6074,17 @@ def test_prompt_hooks_skip_prompt_managers_when_no_prompt_id(logging_obj, tmp_pa for hook in [cb for cb in litellm.callbacks if isinstance(cb, VectorStorePreCallHook)]: litellm.logging_callback_manager.remove_callback_from_list_by_object(litellm.callbacks, hook) def test_newrelic_dispatch_prefers_otel_v2_when_flag_on(monkeypatch): - """With LITELLM_OTEL_V2 on, the "newrelic" callback builds the OTel v2 - logger (per-team credential routing); with the flag off (default) it keeps - the legacy agent-based logger, so existing deployments are untouched.""" + """With LITELLM_OTEL_V2 on and operator credentials present, the "newrelic" + callback builds the OTel v2 logger (per-team credential routing); with the + flag off (default) it keeps the legacy agent-based logger, so existing + deployments are untouched.""" from litellm.integrations.otel.logger import OpenTelemetryV2 from litellm.integrations.otel.model.config import is_otel_v2_enabled from litellm.litellm_core_utils import litellm_logging as logging_module logging_module._in_memory_loggers.clear() monkeypatch.setenv("LITELLM_OTEL_V2", "true") + monkeypatch.setenv("NEW_RELIC_LICENSE_KEY", "test-license-key") is_otel_v2_enabled.cache_clear() try: v2_logger = logging_module._init_custom_logger_compatible_class( @@ -6137,6 +6139,7 @@ def test_get_custom_logger_compatible_class_finds_v2_newrelic(monkeypatch): logging_module._in_memory_loggers.clear() monkeypatch.setenv("LITELLM_OTEL_V2", "true") + monkeypatch.setenv("NEW_RELIC_LICENSE_KEY", "test-license-key") is_otel_v2_enabled.cache_clear() try: created = logging_module._init_custom_logger_compatible_class( diff --git a/tests/test_litellm/litellm_core_utils/test_streaming_chunk_builder_utils.py b/tests/test_litellm/litellm_core_utils/test_streaming_chunk_builder_utils.py index bacbcbf132b..626b8a63b20 100644 --- a/tests/test_litellm/litellm_core_utils/test_streaming_chunk_builder_utils.py +++ b/tests/test_litellm/litellm_core_utils/test_streaming_chunk_builder_utils.py @@ -1,4 +1,6 @@ import json +from collections.abc import Mapping, Sequence +from typing import Final import pytest @@ -1476,3 +1478,79 @@ def test_calculate_usage_fills_unknown_split_from_reasoning_estimate( assert usage.completion_tokens == 100 assert usage.completion_tokens_details.reasoning_tokens == expected_reasoning_tokens assert usage.completion_tokens_details.text_tokens == expected_text_tokens + + +def _openai_chunk( + choices: Sequence[Mapping[str, object]], usage: Mapping[str, int] | None = None +) -> dict[str, object]: + base: Final = { + "id": "chatcmpl-lit6552", + "object": "chat.completion.chunk", + "created": 1, + "model": "gpt-5.4-mini", + "choices": list(choices), + } + return base if usage is None else {**base, "usage": dict(usage)} + + +@pytest.mark.parametrize( + "chunks", + [ + pytest.param([_openai_chunk(choices=[]), _openai_chunk(choices=[])], id="all_empty_choices_dicts"), + pytest.param( + [ModelResponseStream(model="gpt-5.4-mini", choices=[]) for _ in range(2)], + id="all_empty_choices_objects", + ), + ], +) +def test_stream_chunk_builder_survives_all_empty_choices(chunks: Sequence[object]) -> None: + response: Final = stream_chunk_builder(chunks=list(chunks)) + + assert response is not None + assert response.choices[0].message.role == "assistant" + assert response.choices[0].finish_reason == "stop" + + +def test_stream_chunk_builder_keeps_usage_from_usage_only_frames() -> None: + usage_frame: Final = _openai_chunk( + choices=[], usage={"prompt_tokens": 10, "completion_tokens": 0, "total_tokens": 10} + ) + + response: Final = stream_chunk_builder(chunks=[usage_frame]) + + assert response is not None + assert response.choices[0].message.role == "assistant" + assert response.usage.prompt_tokens == 10 + assert response.usage.total_tokens == 10 + + +@pytest.mark.parametrize( + "delta", + [pytest.param({"content": "Hi"}, id="delta_without_role"), pytest.param({}, id="empty_delta")], +) +def test_stream_chunk_builder_defaults_role_when_delta_omits_it(delta: Mapping[str, str]) -> None: + chunks: Final = [ + _openai_chunk(choices=[{"index": 0, "delta": dict(delta), "finish_reason": None}]), + _openai_chunk(choices=[{"index": 0, "delta": {"content": "!"}, "finish_reason": "stop"}]), + ] + + response: Final = stream_chunk_builder(chunks=chunks) + + assert response is not None + assert response.choices[0].message.role == "assistant" + assert response.choices[0].message.content == delta.get("content", "") + "!" + assert response.choices[0].finish_reason == "stop" + + +def test_stream_chunk_builder_reads_role_from_first_frame_with_choices() -> None: + chunks: Final = [ + _openai_chunk(choices=[]), + _openai_chunk(choices=[{"index": 0, "delta": {"role": "user", "content": "Hi"}, "finish_reason": None}]), + _openai_chunk(choices=[{"index": 0, "delta": {}, "finish_reason": "stop"}]), + ] + + response: Final = stream_chunk_builder(chunks=chunks) + + assert response is not None + assert response.choices[0].message.role == "user" + assert response.choices[0].message.content == "Hi" diff --git a/tests/test_litellm/llms/anthropic/chat/test_anthropic_chat_handler.py b/tests/test_litellm/llms/anthropic/chat/test_anthropic_chat_handler.py index b4b173b20c3..18309595414 100644 --- a/tests/test_litellm/llms/anthropic/chat/test_anthropic_chat_handler.py +++ b/tests/test_litellm/llms/anthropic/chat/test_anthropic_chat_handler.py @@ -9,7 +9,8 @@ import pytest import litellm from litellm.constants import RESPONSE_FORMAT_TOOL_NAME from litellm.llms.anthropic.chat.handler import ModelResponseIterator, make_call -from litellm.llms.custom_httpx.http_handler import HTTPHandler +from litellm._uuid import uuid +from litellm.llms.custom_httpx.http_handler import AsyncHTTPHandler, HTTPHandler from litellm.types.llms.openai import ( ChatCompletionToolCallChunk, ChatCompletionToolCallFunctionChunk, @@ -85,6 +86,54 @@ def test_anthropic_completion_does_not_send_deployment_default_limits(): assert "default_api_key_tpm_limit" not in request_body +async def test_anthropic_async_completion_inlines_http_images_off_the_event_loop(async_only_image_fetch): + http_image_url = f"http://img.example/{uuid.uuid4()}.png" + https_image_url = f"https://img.example/{uuid.uuid4()}.png" + captured = {} + + def handle(request): + captured["body"] = json.loads(request.content) + return httpx.Response( + 200, + json={ + "id": "msg_1", + "type": "message", + "role": "assistant", + "model": "claude-sonnet-4-6", + "content": [{"type": "text", "text": "Green"}], + "stop_reason": "end_turn", + "usage": {"input_tokens": 1, "output_tokens": 1}, + }, + ) + + client = AsyncHTTPHandler() + client.client = httpx.AsyncClient(transport=httpx.MockTransport(handle)) + + response = await litellm.acompletion( + model="anthropic/claude-sonnet-4-6", + messages=[ + { + "role": "user", + "content": [ + {"type": "text", "text": "What colour is this?"}, + {"type": "image_url", "image_url": {"url": http_image_url}}, + {"type": "image_url", "image_url": {"url": https_image_url}}, + ], + } + ], + api_key="test-key", + client=client, + ) + + assert response.choices[0].message.content == "Green" + assert async_only_image_fetch.fetched == [http_image_url] + sources = [part["source"] for part in captured["body"]["messages"][0]["content"] if part["type"] == "image"] + assert sources == [ + {"type": "base64", "media_type": "image/png", "data": async_only_image_fetch.base64_png}, + {"type": "url", "url": https_image_url}, + ] + + def test_redacted_thinking_content_block_delta(): chunk = { "type": "content_block_start", diff --git a/tests/test_litellm/llms/anthropic/experimental_pass_through/adapters/test_anthropic_experimental_pass_through_adapters_transformation.py b/tests/test_litellm/llms/anthropic/experimental_pass_through/adapters/test_anthropic_experimental_pass_through_adapters_transformation.py index 30465ca25ba..c59ec70b015 100644 --- a/tests/test_litellm/llms/anthropic/experimental_pass_through/adapters/test_anthropic_experimental_pass_through_adapters_transformation.py +++ b/tests/test_litellm/llms/anthropic/experimental_pass_through/adapters/test_anthropic_experimental_pass_through_adapters_transformation.py @@ -1,4 +1,5 @@ import base64 +import json from typing import Any, Final, cast import pytest @@ -724,9 +725,14 @@ def test_translate_anthropic_to_openai_orders_top_level_and_midturn_system(): ] -def _translate_with_metadata( - model: str, metadata: dict[str, str], custom_llm_provider: str | None -) -> dict[str, Any]: +def _claude_code_user_id(session_id: str) -> str: + return json.dumps({"device_id": "d" * 64, "account_uuid": "", "session_id": session_id}) + + +CLAUDE_CODE_USER_ID: Final = _claude_code_user_id("session-abc") + + +def _translate_with_metadata(model: str, metadata: dict[str, str], custom_llm_provider: str | None) -> dict[str, Any]: openai_request, _ = LiteLLMAnthropicMessagesAdapter().translate_anthropic_to_openai( anthropic_message_request={ "model": model, @@ -739,23 +745,51 @@ def _translate_with_metadata( return cast(dict[str, Any], openai_request) -def test_translate_anthropic_to_openai_maps_user_id_to_prompt_cache_key_for_openai(): - openai_request = _translate_with_metadata("openai/gpt-5.6-luna", {"user_id": "session-abc"}, "openai") - assert openai_request["user"] == "session-abc" +def test_translate_anthropic_to_openai_maps_claude_code_session_id_to_prompt_cache_key_for_openai(): + openai_request = _translate_with_metadata("openai/gpt-5.6-luna", {"user_id": CLAUDE_CODE_USER_ID}, "openai") + assert openai_request["user"] == CLAUDE_CODE_USER_ID assert openai_request["prompt_cache_key"] == "session-abc" -def test_translate_anthropic_to_openai_truncates_prompt_cache_key_but_keeps_full_user(): - long_id = "".join(str(i % 10) for i in range(100)) - openai_request = _translate_with_metadata("openai/gpt-5.6-luna", {"user_id": long_id}, "openai") - assert openai_request["user"] == long_id - assert openai_request["prompt_cache_key"] == long_id[:64] - assert len(openai_request["prompt_cache_key"]) == 64 +def test_translate_anthropic_to_openai_gives_each_claude_code_session_its_own_prompt_cache_key(): + """BerriAI/litellm#39145: the first 64 chars of Claude Code's user_id are the per-install device_id.""" + keys = tuple( + _translate_with_metadata("openai/gpt-5.6-luna", {"user_id": _claude_code_user_id(session_id)}, "openai")[ + "prompt_cache_key" + ] + for session_id in ("11111111-1111-1111-1111-111111111111", "22222222-2222-2222-2222-222222222222") + ) + assert keys == ("11111111-1111-1111-1111-111111111111", "22222222-2222-2222-2222-222222222222") + + +def test_translate_anthropic_to_openai_truncates_long_session_id_to_openai_limit(): + long_session_id = "".join(str(i % 10) for i in range(100)) + openai_request = _translate_with_metadata( + "openai/gpt-5.6-luna", {"user_id": _claude_code_user_id(long_session_id)}, "openai" + ) + assert openai_request["prompt_cache_key"] == long_session_id[:64] + + +@pytest.mark.parametrize( + "user_id", + [ + "alice", + "".join(str(i % 10) for i in range(100)), + json.dumps({"device_id": "d" * 64, "account_uuid": ""}), + json.dumps({"session_id": ""}), + json.dumps({"session_id": 123}), + "{not json", + ], +) +def test_translate_anthropic_to_openai_keeps_plain_user_id_off_prompt_cache_key(user_id: str): + openai_request = _translate_with_metadata("openai/gpt-5.6-luna", {"user_id": user_id}, "openai") + assert openai_request["user"] == user_id + assert "prompt_cache_key" not in openai_request @pytest.mark.parametrize("model", ["azure/my-gpt-5-deployment", "my-gpt-5-deployment"]) def test_translate_anthropic_to_openai_sets_prompt_cache_key_for_azure(model: str): - openai_request = _translate_with_metadata(model, {"user_id": "session-abc"}, "azure") + openai_request = _translate_with_metadata(model, {"user_id": CLAUDE_CODE_USER_ID}, "azure") assert openai_request["prompt_cache_key"] == "session-abc" @@ -772,8 +806,8 @@ def test_translate_anthropic_to_openai_sets_prompt_cache_key_for_azure(model: st def test_translate_anthropic_to_openai_skips_prompt_cache_key_when_provider_lacks_it( model: str, custom_llm_provider: str ): - openai_request = _translate_with_metadata(model, {"user_id": "session-abc"}, custom_llm_provider) - assert openai_request["user"] == "session-abc" + openai_request = _translate_with_metadata(model, {"user_id": CLAUDE_CODE_USER_ID}, custom_llm_provider) + assert openai_request["user"] == CLAUDE_CODE_USER_ID assert "prompt_cache_key" not in openai_request @@ -781,14 +815,14 @@ def test_translate_anthropic_to_openai_skips_prompt_cache_key_for_chained_litell assert "prompt_cache_key" in litellm.get_supported_openai_params( model="xai", custom_llm_provider="litellm_proxy" ) - openai_request = _translate_with_metadata("litellm_proxy/xai", {"user_id": "session-abc"}, "litellm_proxy") - assert openai_request["user"] == "session-abc" + openai_request = _translate_with_metadata("litellm_proxy/xai", {"user_id": CLAUDE_CODE_USER_ID}, "litellm_proxy") + assert openai_request["user"] == CLAUDE_CODE_USER_ID assert "prompt_cache_key" not in openai_request def test_translate_anthropic_to_openai_skips_prompt_cache_key_without_provider(): - openai_request = _translate_with_metadata("openai/gpt-5.6-luna", {"user_id": "session-abc"}, None) - assert openai_request["user"] == "session-abc" + openai_request = _translate_with_metadata("openai/gpt-5.6-luna", {"user_id": CLAUDE_CODE_USER_ID}, None) + assert openai_request["user"] == CLAUDE_CODE_USER_ID assert "prompt_cache_key" not in openai_request diff --git a/tests/test_litellm/llms/anthropic/experimental_pass_through/adapters/test_handler_prompt_cache_key.py b/tests/test_litellm/llms/anthropic/experimental_pass_through/adapters/test_handler_prompt_cache_key.py index f48d51dbe1e..7dc7507120f 100644 --- a/tests/test_litellm/llms/anthropic/experimental_pass_through/adapters/test_handler_prompt_cache_key.py +++ b/tests/test_litellm/llms/anthropic/experimental_pass_through/adapters/test_handler_prompt_cache_key.py @@ -1,3 +1,4 @@ +import json import os import sys @@ -10,6 +11,7 @@ from litellm.llms.anthropic.experimental_pass_through.adapters.handler import ( ) MESSAGES = [{"role": "user", "content": "hello"}] +CLAUDE_CODE_USER_ID = json.dumps({"device_id": "d" * 64, "account_uuid": "", "session_id": "session-abc"}) def _prepare(model: str, extra_kwargs: dict[str, object], thinking: dict[str, object] | None = None): @@ -17,7 +19,7 @@ def _prepare(model: str, extra_kwargs: dict[str, object], thinking: dict[str, ob max_tokens=1024, messages=MESSAGES, model=model, - metadata={"user_id": "session-abc"}, + metadata={"user_id": CLAUDE_CODE_USER_ID}, thinking=thinking, extra_kwargs=extra_kwargs, ) @@ -26,7 +28,7 @@ def _prepare(model: str, extra_kwargs: dict[str, object], thinking: dict[str, ob def test_prepare_completion_kwargs_derives_prompt_cache_key_for_openai_provider(): completion_kwargs = _prepare("openai/gpt-5.6-luna", {"custom_llm_provider": "openai"}) - assert completion_kwargs["user"] == "session-abc" + assert completion_kwargs["user"] == CLAUDE_CODE_USER_ID assert completion_kwargs["prompt_cache_key"] == "session-abc" @@ -35,7 +37,7 @@ def test_prepare_completion_kwargs_prefers_explicit_prompt_cache_key_over_derive "openai/gpt-5.6-luna", {"custom_llm_provider": "openai", "prompt_cache_key": "explicit-key"}, ) - assert completion_kwargs["user"] == "session-abc" + assert completion_kwargs["user"] == CLAUDE_CODE_USER_ID assert completion_kwargs["prompt_cache_key"] == "explicit-key" @@ -50,13 +52,13 @@ def test_prepare_completion_kwargs_skips_prompt_cache_key_without_provider_suppo model: str, extra_kwargs: dict[str, object] ): completion_kwargs = _prepare(model, extra_kwargs) - assert completion_kwargs["user"] == "session-abc" + assert completion_kwargs["user"] == CLAUDE_CODE_USER_ID assert "prompt_cache_key" not in completion_kwargs def test_prepare_completion_kwargs_skips_prompt_cache_key_for_chained_litellm_proxy(): completion_kwargs = _prepare("litellm_proxy/xai", {"custom_llm_provider": "litellm_proxy"}) - assert completion_kwargs["user"] == "session-abc" + assert completion_kwargs["user"] == CLAUDE_CODE_USER_ID assert "prompt_cache_key" not in completion_kwargs diff --git a/tests/test_litellm/llms/anthropic/experimental_pass_through/responses_adapters/test_responses_adapters_handler.py b/tests/test_litellm/llms/anthropic/experimental_pass_through/responses_adapters/test_responses_adapters_handler.py index 3383813245a..16e8cf0e90e 100644 --- a/tests/test_litellm/llms/anthropic/experimental_pass_through/responses_adapters/test_responses_adapters_handler.py +++ b/tests/test_litellm/llms/anthropic/experimental_pass_through/responses_adapters/test_responses_adapters_handler.py @@ -16,6 +16,7 @@ from litellm.llms.anthropic.experimental_pass_through.responses_adapters.handler ) MESSAGES = [{"role": "user", "content": "hello"}] +CLAUDE_CODE_USER_ID = json.dumps({"device_id": "d" * 64, "account_uuid": "", "session_id": "session-abc"}) RESPONSES_SSE_BODY = ( b"event: response.created\n" @@ -30,7 +31,19 @@ RESPONSES_SSE_BODY = ( ) -def test_build_responses_kwargs_derives_prompt_cache_key_from_user_id(): +def test_build_responses_kwargs_derives_prompt_cache_key_from_claude_code_session_id(): + responses_kwargs = _build_responses_kwargs( + max_tokens=1024, + messages=MESSAGES, + model="openai/gpt-5.6-luna", + metadata={"user_id": CLAUDE_CODE_USER_ID}, + extra_kwargs={"custom_llm_provider": "openai"}, + ) + assert responses_kwargs["user"] == CLAUDE_CODE_USER_ID[:64] + assert responses_kwargs["prompt_cache_key"] == "session-abc" + + +def test_build_responses_kwargs_sets_no_prompt_cache_key_for_plain_user_id(): responses_kwargs = _build_responses_kwargs( max_tokens=1024, messages=MESSAGES, @@ -39,7 +52,7 @@ def test_build_responses_kwargs_derives_prompt_cache_key_from_user_id(): extra_kwargs={"custom_llm_provider": "openai"}, ) assert responses_kwargs["user"] == "session-abc" - assert responses_kwargs["prompt_cache_key"] == "session-abc" + assert "prompt_cache_key" not in responses_kwargs def test_build_responses_kwargs_prefers_explicit_prompt_cache_key_over_derived(): @@ -47,10 +60,10 @@ def test_build_responses_kwargs_prefers_explicit_prompt_cache_key_over_derived() max_tokens=1024, messages=MESSAGES, model="openai/gpt-5.6-luna", - metadata={"user_id": "session-abc"}, + metadata={"user_id": CLAUDE_CODE_USER_ID}, extra_kwargs={"custom_llm_provider": "openai", "prompt_cache_key": "explicit-key"}, ) - assert responses_kwargs["user"] == "session-abc" + assert responses_kwargs["user"] == CLAUDE_CODE_USER_ID[:64] assert responses_kwargs["prompt_cache_key"] == "explicit-key" diff --git a/tests/test_litellm/llms/anthropic/experimental_pass_through/responses_adapters/test_responses_adapters_transformation.py b/tests/test_litellm/llms/anthropic/experimental_pass_through/responses_adapters/test_responses_adapters_transformation.py index 9f8414afa38..edcc7adddb7 100644 --- a/tests/test_litellm/llms/anthropic/experimental_pass_through/responses_adapters/test_responses_adapters_transformation.py +++ b/tests/test_litellm/llms/anthropic/experimental_pass_through/responses_adapters/test_responses_adapters_transformation.py @@ -1113,17 +1113,34 @@ class TestTranslateRequestBroaderCoverage: kwargs = _ADAPTER.translate_request(req) assert len(kwargs["user"]) == 64 - def test_metadata_user_id_mapped_to_prompt_cache_key(self): - req = _make_request(metadata={"user_id": "user-42"}) + def test_metadata_claude_code_session_id_mapped_to_prompt_cache_key(self): + user_id = json.dumps({"device_id": "d" * 64, "account_uuid": "", "session_id": "session-42"}) + req = _make_request(metadata={"user_id": user_id}) kwargs = _ADAPTER.translate_request(req) - assert kwargs["prompt_cache_key"] == "user-42" + assert kwargs["user"] == user_id[:64] + assert kwargs["prompt_cache_key"] == "session-42" - def test_metadata_user_id_prompt_cache_key_truncated_to_first_64_chars(self): - long_id = "".join(str(i % 10) for i in range(100)) - req = _make_request(metadata={"user_id": long_id}) + def test_metadata_claude_code_sessions_get_distinct_prompt_cache_keys(self): + """BerriAI/litellm#39145: the first 64 chars of Claude Code's user_id are the per-install device_id.""" + keys = tuple( + _ADAPTER.translate_request( + _make_request( + metadata={"user_id": json.dumps({"device_id": "d" * 64, "account_uuid": "", "session_id": sid})} + ) + )["prompt_cache_key"] + for sid in ("11111111-1111-1111-1111-111111111111", "22222222-2222-2222-2222-222222222222") + ) + assert keys == ("11111111-1111-1111-1111-111111111111", "22222222-2222-2222-2222-222222222222") + + @pytest.mark.parametrize( + "user_id", + ["user-42", "".join(str(i % 10) for i in range(100)), json.dumps({"device_id": "d" * 64}), "{not json"], + ) + def test_metadata_plain_user_id_sets_no_prompt_cache_key(self, user_id: str): + req = _make_request(metadata={"user_id": user_id}) kwargs = _ADAPTER.translate_request(req) - assert kwargs["prompt_cache_key"] == long_id[:64] - assert len(kwargs["prompt_cache_key"]) == 64 + assert kwargs["user"] == user_id[:64] + assert "prompt_cache_key" not in kwargs def test_metadata_empty_user_id_sets_no_prompt_cache_key(self): req = _make_request(metadata={"user_id": ""}) diff --git a/tests/test_litellm/llms/azure/test_audio_transcriptions.py b/tests/test_litellm/llms/azure/test_audio_transcriptions.py new file mode 100644 index 00000000000..cd5fcbd85a9 --- /dev/null +++ b/tests/test_litellm/llms/azure/test_audio_transcriptions.py @@ -0,0 +1,61 @@ +import json +from pathlib import Path +from typing import Final + +import httpx +import pytest +from openai import AzureOpenAI + +import litellm +from litellm.cost_calculator import completion_cost +from litellm.litellm_core_utils.audio_utils.utils import calculate_request_duration + +AUDIO_FILE: Final = Path(__file__).parents[3] / "gettysburg.wav" +WHISPER_COST_PER_SECOND: Final = 0.0001 + + +def _transcription_client() -> AzureOpenAI: + def handler(request: httpx.Request) -> httpx.Response: + return httpx.Response(200, json={"text": "Four score and seven years ago"}) + + return AzureOpenAI( + api_key="test-key", + api_version="2024-06-01", + azure_endpoint="https://example.cognitiveservices.azure.com", + http_client=httpx.Client(transport=httpx.MockTransport(handler)), + ) + + +def test_azure_ai_transcription_is_priced_at_the_azure_ai_entry(): + with AUDIO_FILE.open("rb") as audio: + response = litellm.transcription( + model="azure_ai/whisper", + file=audio, + api_base="https://example.cognitiveservices.azure.com", + api_key="test-key", + api_version="2024-06-01", + client=_transcription_client(), + ) + with AUDIO_FILE.open("rb") as audio: + duration = calculate_request_duration(audio) + + assert duration is not None and duration > 0 + assert response._hidden_params["custom_llm_provider"] == "azure_ai" + assert completion_cost(completion_response=response, call_type="transcription") == pytest.approx( + WHISPER_COST_PER_SECOND * duration + ) + + +def test_azure_transcription_keeps_the_azure_provider(): + with AUDIO_FILE.open("rb") as audio: + response = litellm.transcription( + model="azure/whisper-1", + file=audio, + api_base="https://example.openai.azure.com", + api_key="test-key", + api_version="2024-06-01", + client=_transcription_client(), + ) + + assert response._hidden_params["custom_llm_provider"] == "azure" + assert json.loads(response.model_dump_json())["text"] == "Four score and seven years ago" diff --git a/tests/test_litellm/llms/azure_ai/test_azure_ai_cost_calculator.py b/tests/test_litellm/llms/azure_ai/test_azure_ai_cost_calculator.py index 9612d97d946..a43fc3332af 100644 --- a/tests/test_litellm/llms/azure_ai/test_azure_ai_cost_calculator.py +++ b/tests/test_litellm/llms/azure_ai/test_azure_ai_cost_calculator.py @@ -2,20 +2,25 @@ Test Azure AI cost calculator, especially Model Router flat cost. """ +from datetime import datetime +from typing import Final + import pytest +import litellm +from litellm.cost_calculator import completion_cost +from litellm.litellm_core_utils.litellm_logging import Logging from litellm.llms.azure_ai.cost_calculator import ( - _is_azure_model_router, + calculate_azure_model_router_flat_cost, cost_per_token, + is_azure_model_router, ) -from litellm.types.utils import Usage +from litellm.types.utils import Choices, Message, ModelResponse, Usage from litellm.utils import get_model_info # Get the flat cost from model_prices_and_context_window.json _model_info = get_model_info(model="model_router", custom_llm_provider="azure_ai") -AZURE_MODEL_ROUTER_FLAT_COST_PER_M_INPUT_TOKENS = ( - _model_info.get("input_cost_per_token", 0) * 1_000_000 -) +AZURE_MODEL_ROUTER_FLAT_COST_PER_M_INPUT_TOKENS = _model_info.get("input_cost_per_token", 0) * 1_000_000 class TestAzureModelRouterDetection: @@ -49,7 +54,7 @@ class TestAzureModelRouterDetection: ) def test_is_azure_model_router(self, model: str, expected: bool): """Test Azure Model Router detection.""" - assert _is_azure_model_router(model) == expected + assert is_azure_model_router(model) == expected class TestAzureModelRouterPrefix: @@ -80,108 +85,60 @@ class TestAzureModelRouterPrefix: assert result == expected +ROUTER_FEE_PER_TOKEN: Final = AZURE_MODEL_ROUTER_FLAT_COST_PER_M_INPUT_TOKENS / 1_000_000 +ROUTED_MODEL: Final = "gpt-4.1-nano-2025-04-14" +ROUTED_USAGE: Final = Usage(prompt_tokens=5000, completion_tokens=2000, total_tokens=7000) +ROUTED_FEE: Final = 5000 * ROUTER_FEE_PER_TOKEN + + +def _router_logging(request_model: str) -> Logging: + return Logging( + model=request_model, + messages=[{"role": "user", "content": "Hello"}], + stream=False, + call_type="completion", + start_time=datetime.now(), + litellm_call_id="test-123", + function_id="test-function", + ) + + +def _azure_ai_response(response_model: str, litellm_model_name: str | None = None) -> ModelResponse: + response: Final = ModelResponse( + id="test-123", + choices=[Choices(finish_reason="stop", index=0, message=Message(role="assistant", content="Hello"))], + created=1234567890, + model=response_model, + object="chat.completion", + usage=ROUTED_USAGE, + ) + response._hidden_params = ( + {"custom_llm_provider": "azure_ai"} + if litellm_model_name is None + else {"custom_llm_provider": "azure_ai", "litellm_model_name": litellm_model_name} + ) + return response + + +def _routed_model_cost() -> tuple[float, float]: + routed_info: Final = get_model_info(model=ROUTED_MODEL, custom_llm_provider="azure_ai") + return ( + ROUTED_USAGE.prompt_tokens * (routed_info["input_cost_per_token"] or 0.0), + ROUTED_USAGE.completion_tokens * (routed_info["output_cost_per_token"] or 0.0), + ) + + +@pytest.mark.usefixtures("local_model_cost_map") class TestAzureModelRouterFlatCost: - """Test Azure AI Foundry Model Router flat cost calculation.""" + """cost_per_token charges the router fee once, for whichever router name the caller gives it.""" - def test_model_router_flat_cost_basic(self): - """Test that flat cost is added for Model Router requests.""" - model = "azure-model-router" - usage = Usage( - prompt_tokens=1000, - completion_tokens=500, - total_tokens=1500, - ) + def test_unmapped_router_deployment_name_prices_the_fee(self) -> None: + usage = Usage(prompt_tokens=1000, completion_tokens=500, total_tokens=1500) + prompt_cost, completion_cost_usd = cost_per_token(model="azure-model-router", usage=usage) + assert prompt_cost == pytest.approx(1000 * ROUTER_FEE_PER_TOKEN, rel=1e-9) + assert completion_cost_usd == 0.0 - prompt_cost, completion_cost = cost_per_token(model=model, usage=usage) - - # Calculate expected flat cost - expected_flat_cost = ( - usage.prompt_tokens - * AZURE_MODEL_ROUTER_FLAT_COST_PER_M_INPUT_TOKENS - / 1_000_000 - ) - - # Flat cost should be $0.00014 (1000 tokens × $0.14 / 1M tokens) - assert expected_flat_cost == pytest.approx(0.00014, rel=1e-9) - - # Prompt cost should include the flat cost - # (plus any base cost from the actual model used, which might be 0 if not in model_cost) - assert prompt_cost >= expected_flat_cost - print( - f"Model Router flat cost for {usage.prompt_tokens} tokens: ${expected_flat_cost:.6f}" - ) - print(f"Total prompt cost: ${prompt_cost:.6f}") - - def test_model_router_flat_cost_large_request(self): - """Test flat cost calculation for larger requests.""" - model = "model-router" - usage = Usage( - prompt_tokens=100_000, - completion_tokens=50_000, - total_tokens=150_000, - ) - - prompt_cost, completion_cost = cost_per_token(model=model, usage=usage) - - # Calculate expected flat cost - expected_flat_cost = ( - usage.prompt_tokens - * AZURE_MODEL_ROUTER_FLAT_COST_PER_M_INPUT_TOKENS - / 1_000_000 - ) - - # Flat cost should be $0.014 (100k tokens × $0.14 / 1M tokens) - assert expected_flat_cost == pytest.approx(0.014, rel=1e-9) - # Use approx for floating-point comparison - assert prompt_cost >= expected_flat_cost or prompt_cost == pytest.approx( - expected_flat_cost, rel=1e-9 - ) - print( - f"Model Router flat cost for {usage.prompt_tokens} tokens: ${expected_flat_cost:.6f}" - ) - print(f"Total prompt cost: ${prompt_cost:.6f}") - - def test_model_router_flat_cost_1m_tokens(self): - """Test flat cost for exactly 1 million input tokens.""" - model = "azure-model-router" - usage = Usage( - prompt_tokens=1_000_000, - completion_tokens=100_000, - total_tokens=1_100_000, - ) - - prompt_cost, completion_cost = cost_per_token(model=model, usage=usage) - - # Calculate expected flat cost - expected_flat_cost = AZURE_MODEL_ROUTER_FLAT_COST_PER_M_INPUT_TOKENS - - # Flat cost should be exactly $0.14 for 1M tokens - assert expected_flat_cost == pytest.approx(0.14, rel=1e-9) - assert prompt_cost >= expected_flat_cost - print(f"Model Router flat cost for 1M tokens: ${expected_flat_cost:.6f}") - print(f"Total prompt cost: ${prompt_cost:.6f}") - - def test_non_model_router_no_flat_cost(self): - """Test that non-Model Router models don't get the flat cost.""" - model = "gpt-4o" - usage = Usage( - prompt_tokens=1000, - completion_tokens=500, - total_tokens=1500, - ) - - prompt_cost, completion_cost = cost_per_token(model=model, usage=usage) - - # No flat cost should be added for non-Model Router models - # The cost might be 0 or based on the model's pricing - print(f"Non-Model Router prompt cost: ${prompt_cost:.6f}") - # We just ensure it doesn't crash and returns valid values - assert prompt_cost >= 0 - assert completion_cost >= 0 - - def test_model_router_with_cached_tokens(self): - """Test Model Router flat cost with cached tokens.""" - model = "azure-model-router" + def test_unmapped_router_deployment_name_charges_the_fee_over_cached_prompt_tokens_too(self) -> None: usage = Usage( prompt_tokens=2000, completion_tokens=800, @@ -189,268 +146,165 @@ class TestAzureModelRouterFlatCost: cache_read_input_tokens=500, cache_creation_input_tokens=200, ) + prompt_cost, completion_cost_usd = cost_per_token(model="azure-model-router", usage=usage) + assert prompt_cost == pytest.approx(2000 * ROUTER_FEE_PER_TOKEN, rel=1e-9) + assert completion_cost_usd == 0.0 - prompt_cost, completion_cost = cost_per_token(model=model, usage=usage) - - # Flat cost is based on ALL prompt tokens (including cached) - expected_flat_cost = ( - usage.prompt_tokens - * AZURE_MODEL_ROUTER_FLAT_COST_PER_M_INPUT_TOKENS - / 1_000_000 + def test_router_deployment_name_as_both_names_charges_the_fee_once(self) -> None: + usage = Usage(prompt_tokens=1000, completion_tokens=500, total_tokens=1500) + prompt_cost, completion_cost_usd = cost_per_token( + model="model_router/my-deployment", usage=usage, request_model="azure_ai/model_router/my-deployment" ) + assert prompt_cost == pytest.approx(1000 * ROUTER_FEE_PER_TOKEN, rel=1e-9) + assert completion_cost_usd == 0.0 - assert expected_flat_cost == pytest.approx(0.00028, rel=1e-9) - assert prompt_cost >= expected_flat_cost - print( - f"Model Router flat cost with caching for {usage.prompt_tokens} tokens: ${expected_flat_cost:.6f}" + @pytest.mark.parametrize("router_entry_name", ["model_router", "model-router"]) + def test_router_entry_prices_its_own_fee(self, router_entry_name: str) -> None: + usage = Usage(prompt_tokens=1_000_000, completion_tokens=0, total_tokens=1_000_000) + prompt_cost, completion_cost_usd = cost_per_token(model=router_entry_name, usage=usage) + assert prompt_cost == pytest.approx(0.14, rel=1e-9) + assert completion_cost_usd == 0.0 + + def test_routed_model_is_priced_as_itself(self) -> None: + routed_prompt_cost, routed_completion_cost = _routed_model_cost() + prompt_cost, completion_cost_usd = cost_per_token(model=ROUTED_MODEL, usage=ROUTED_USAGE) + assert routed_prompt_cost > 0 + assert prompt_cost == pytest.approx(routed_prompt_cost, rel=1e-9) + assert completion_cost_usd == pytest.approx(routed_completion_cost, rel=1e-9) + + def test_unmapped_model_that_is_not_a_router_name_raises(self) -> None: + usage = Usage(prompt_tokens=10, completion_tokens=10, total_tokens=20) + with pytest.raises(Exception, match="no-such-azure-ai-model"): + cost_per_token(model="no-such-azure-ai-model", usage=usage) + + def test_request_model_through_the_router_adds_the_fee_once(self) -> None: + routed_prompt_cost, routed_completion_cost = _routed_model_cost() + prompt_cost, completion_cost_usd = cost_per_token( + model=ROUTED_MODEL, usage=ROUTED_USAGE, request_model="azure_ai/model-router" ) - print(f"Total prompt cost: ${prompt_cost:.6f}") + assert prompt_cost == pytest.approx(routed_prompt_cost + ROUTED_FEE, rel=1e-9) + assert completion_cost_usd == pytest.approx(routed_completion_cost, rel=1e-9) - def test_router_flat_cost_when_response_has_actual_model(self): - """ - Test that router flat cost is added when request was via router but response - contains the actual model (e.g., gpt-5-nano). + def test_request_model_that_is_not_the_router_adds_nothing(self) -> None: + routed_prompt_cost, routed_completion_cost = _routed_model_cost() + assert cost_per_token( + model=ROUTED_MODEL, usage=ROUTED_USAGE, request_model=f"azure_ai/{ROUTED_MODEL}" + ) == pytest.approx((routed_prompt_cost, routed_completion_cost), rel=1e-9) - This is the key fix: Azure returns the actual model in the response, but we - must still add the router flat cost because the request was made via model router. - """ - usage = Usage( - prompt_tokens=10000, - completion_tokens=5000, - total_tokens=15000, + @pytest.mark.parametrize("router_entry_name", ["model_router", "model-router"]) + def test_request_model_does_not_double_the_router_entry(self, router_entry_name: str) -> None: + prompt_cost, completion_cost_usd = cost_per_token( + model=router_entry_name, usage=ROUTED_USAGE, request_model=f"azure_ai/{router_entry_name}" ) + assert prompt_cost == pytest.approx(ROUTED_FEE, rel=1e-9) + assert completion_cost_usd == 0.0 - # Response model is the actual model Azure used (not a router name) - response_model = "gpt-5-nano-2025-08-07" - # Request model is the router - user called azure_ai/model_router/model-router - request_model = "azure_ai/model_router/model-router" - - prompt_cost, completion_cost = cost_per_token( - model=response_model, - usage=usage, - request_model=request_model, + def test_public_cost_per_token_keeps_the_request_model_keyword(self) -> None: + routed_prompt_cost, routed_completion_cost = _routed_model_cost() + prompt_cost, completion_cost_usd = litellm.cost_per_token( + model=ROUTED_MODEL, + custom_llm_provider="azure_ai", + usage_object=ROUTED_USAGE, + request_model="azure_ai/model-router", ) + assert prompt_cost == pytest.approx(routed_prompt_cost + ROUTED_FEE, rel=1e-9) + assert completion_cost_usd == pytest.approx(routed_completion_cost, rel=1e-9) - # Expected: model cost (from gpt-5-nano) + router flat cost - expected_flat_cost = ( - usage.prompt_tokens - * AZURE_MODEL_ROUTER_FLAT_COST_PER_M_INPUT_TOKENS - / 1_000_000 + def test_flat_cost_helper(self) -> None: + assert calculate_azure_model_router_flat_cost( + model="azure-model-router", prompt_tokens=10_000 + ) == pytest.approx(0.0014, rel=1e-9) + assert calculate_azure_model_router_flat_cost(model="gpt-5-nano", prompt_tokens=10_000) == 0.0 + + def test_flat_cost_reads_the_fee_from_the_deployment_named_entry(self) -> None: + litellm.register_model( + {"azure_ai/model-router": {"input_cost_per_token": 2e-07, "litellm_provider": "azure_ai", "mode": "chat"}} ) - assert expected_flat_cost == pytest.approx(0.0014, rel=1e-9) - - # Total cost should be model cost + flat cost - total_cost = prompt_cost + completion_cost - assert total_cost >= expected_flat_cost - - # Prompt cost should include both model prompt cost and router flat cost - assert prompt_cost >= expected_flat_cost + litellm.get_model_info.cache_clear() + assert calculate_azure_model_router_flat_cost(model="model-router", prompt_tokens=1_000_000) == pytest.approx( + 0.2, rel=1e-9 + ) + assert calculate_azure_model_router_flat_cost( + model="azure-model-router", prompt_tokens=1_000_000 + ) == pytest.approx(0.14, rel=1e-9) +@pytest.mark.usefixtures("local_model_cost_map") class TestAzureModelRouterCostBreakdown: - """Test that Azure Model Router flat cost is tracked in cost breakdown.""" + """completion_cost charges the router fee exactly once: as the breakdown's additional cost line when a routed + model is priced as itself, inside the input cost when the priced name is the router.""" - def test_flat_cost_calculation_helper(self): - """Test that flat cost can be calculated using the helper function.""" - from litellm.llms.azure_ai.cost_calculator import ( - calculate_azure_model_router_flat_cost, - ) - - model = "azure-model-router" - prompt_tokens = 10000 - - # Calculate flat cost using helper function - flat_cost = calculate_azure_model_router_flat_cost( - model=model, prompt_tokens=prompt_tokens - ) - - # Expected flat cost - expected_flat_cost = ( - prompt_tokens * AZURE_MODEL_ROUTER_FLAT_COST_PER_M_INPUT_TOKENS / 1_000_000 - ) - - assert flat_cost > 0 - assert flat_cost == pytest.approx(expected_flat_cost, rel=1e-9) - print(f"Flat cost calculated: ${flat_cost:.6f}") - - def test_flat_cost_integration_with_completion_cost(self): - """Test that flat cost is properly integrated into completion_cost calculation.""" - import litellm - from litellm.cost_calculator import completion_cost - from litellm.types.utils import Choices, Message, ModelResponse, Usage - - # Create a mock response for azure_ai model router - response = ModelResponse( - id="test-123", - choices=[ - Choices( - finish_reason="stop", - index=0, - message=Message( - role="assistant", - content="Test response", - ), - ) - ], - created=1234567890, - model="azure-model-router", - object="chat.completion", - usage=Usage( - prompt_tokens=5000, - completion_tokens=2000, - total_tokens=7000, - ), - ) - - # Set hidden params for provider - response._hidden_params = {"custom_llm_provider": "azure_ai"} - - # Calculate cost + def test_unmapped_router_deployment_name_costs_only_the_fee(self) -> None: cost = completion_cost( - completion_response=response, + completion_response=_azure_ai_response("azure-model-router"), model="azure-model-router", custom_llm_provider="azure_ai", ) + assert cost == pytest.approx(ROUTED_FEE, rel=1e-9) - # Expected flat cost - expected_flat_cost = ( - 5000 * AZURE_MODEL_ROUTER_FLAT_COST_PER_M_INPUT_TOKENS / 1_000_000 - ) - - # Cost should include the flat cost (use approx for floating-point comparison) - assert cost >= expected_flat_cost or cost == pytest.approx( - expected_flat_cost, rel=1e-9 - ) - print(f"Total cost with flat fee: ${cost:.6f}") - print(f"Expected minimum flat cost: ${expected_flat_cost:.6f}") - - def test_additional_costs_in_cost_breakdown(self): - """Test that Azure Model Router flat cost appears in additional_costs dict.""" - from datetime import datetime - - from litellm.cost_calculator import completion_cost - from litellm.litellm_core_utils.litellm_logging import Logging - from litellm.types.utils import Choices, Message, ModelResponse, Usage - - # Create logging object with required parameters - logging_obj = Logging( - model="azure-model-router", - messages=[{"role": "user", "content": "Hello"}], - stream=False, - call_type="completion", - start_time=datetime.now(), - litellm_call_id="test-123", - function_id="test-function", - ) - - # Create a mock response for azure_ai model router - response = ModelResponse( - id="test-123", - choices=[ - Choices( - finish_reason="stop", - index=0, - message=Message( - role="assistant", - content="Test response", - ), - ) - ], - created=1234567890, - model="azure-model-router", - object="chat.completion", - usage=Usage( - prompt_tokens=5000, - completion_tokens=2000, - total_tokens=7000, - ), - ) - - # Set hidden params for provider - response._hidden_params = {"custom_llm_provider": "azure_ai"} - - # Calculate cost with logging object + def test_unmapped_router_name_carries_the_fee_as_its_input_cost(self) -> None: + logging_obj = _router_logging("azure-model-router") cost = completion_cost( - completion_response=response, + completion_response=_azure_ai_response("azure-model-router"), model="azure-model-router", custom_llm_provider="azure_ai", litellm_logging_obj=logging_obj, ) + breakdown = logging_obj.cost_breakdown + assert breakdown is not None + assert breakdown["input_cost"] == pytest.approx(ROUTED_FEE, rel=1e-9) + assert "additional_costs" not in breakdown + assert cost == pytest.approx(ROUTED_FEE, rel=1e-9) - # Check that cost breakdown contains additional_costs - assert hasattr(logging_obj, "cost_breakdown") - assert logging_obj.cost_breakdown is not None - assert "additional_costs" in logging_obj.cost_breakdown - assert isinstance(logging_obj.cost_breakdown["additional_costs"], dict) - - # Check that the Azure Model Router flat cost is in additional_costs - additional_costs = logging_obj.cost_breakdown["additional_costs"] - assert "Azure Model Router Flat Cost" in additional_costs - - # Verify the flat cost value - expected_flat_cost = ( - 5000 * AZURE_MODEL_ROUTER_FLAT_COST_PER_M_INPUT_TOKENS / 1_000_000 - ) - actual_flat_cost = additional_costs["Azure Model Router Flat Cost"] - assert actual_flat_cost == pytest.approx(expected_flat_cost, rel=1e-9) - - print(f"Additional costs in breakdown: {additional_costs}") - print(f"Azure Model Router Flat Cost: ${actual_flat_cost:.6f}") - - def test_additional_costs_when_response_has_actual_model_via_hidden_params(self): - """additional_costs populated when response has actual model but request was via model router (hidden_params).""" - from datetime import datetime - - from litellm.cost_calculator import completion_cost - from litellm.litellm_core_utils.litellm_logging import Logging - from litellm.types.utils import Choices, Message, ModelResponse, Usage - - logging_obj = Logging( - model="gpt-4.1-nano-2025-04-14", - messages=[{"role": "user", "content": "Hello"}], - stream=False, - call_type="completion", - start_time=datetime.now(), - litellm_call_id="test-123", - function_id="test-function", - ) - response = ModelResponse( - id="test-123", - choices=[ - Choices( - finish_reason="stop", - index=0, - message=Message(role="assistant", content="Hello"), - ) - ], - created=1234567890, - model="gpt-4.1-nano-2025-04-14", - object="chat.completion", - usage=Usage(prompt_tokens=5000, completion_tokens=2000, total_tokens=7000), - ) - response._hidden_params = { - "custom_llm_provider": "azure_ai", - "litellm_model_name": "azure_ai/model-router", - } + def test_router_request_with_routed_response_charges_the_fee_once(self) -> None: + routed_prompt_cost, routed_completion_cost = _routed_model_cost() + logging_obj = _router_logging("model-router") cost = completion_cost( - completion_response=response, - model="gpt-4.1-nano-2025-04-14", + completion_response=_azure_ai_response(ROUTED_MODEL), + model=ROUTED_MODEL, custom_llm_provider="azure_ai", litellm_logging_obj=logging_obj, ) - expected_flat_cost = ( - 5000 * AZURE_MODEL_ROUTER_FLAT_COST_PER_M_INPUT_TOKENS / 1_000_000 + breakdown = logging_obj.cost_breakdown + assert breakdown is not None + assert breakdown["input_cost"] == pytest.approx(routed_prompt_cost, rel=1e-9) + assert breakdown["output_cost"] == pytest.approx(routed_completion_cost, rel=1e-9) + assert breakdown.get("additional_costs") == pytest.approx( + {"Azure Model Router Flat Cost": ROUTED_FEE}, rel=1e-9 ) - assert cost >= expected_flat_cost - assert logging_obj.cost_breakdown is not None - assert "additional_costs" in logging_obj.cost_breakdown - assert ( - "Azure Model Router Flat Cost" - in logging_obj.cost_breakdown["additional_costs"] + assert cost == pytest.approx(routed_prompt_cost + routed_completion_cost + ROUTED_FEE, rel=1e-9) + + def test_routed_response_named_by_hidden_params_charges_the_fee_once(self) -> None: + routed_prompt_cost, routed_completion_cost = _routed_model_cost() + logging_obj = _router_logging(ROUTED_MODEL) + cost = completion_cost( + completion_response=_azure_ai_response(ROUTED_MODEL, litellm_model_name="azure_ai/model-router"), + model=ROUTED_MODEL, + custom_llm_provider="azure_ai", + litellm_logging_obj=logging_obj, ) - assert logging_obj.cost_breakdown["additional_costs"][ - "Azure Model Router Flat Cost" - ] == pytest.approx(expected_flat_cost, rel=1e-9) + breakdown = logging_obj.cost_breakdown + assert breakdown is not None + assert breakdown["input_cost"] == pytest.approx(routed_prompt_cost, rel=1e-9) + assert breakdown.get("additional_costs") == pytest.approx( + {"Azure Model Router Flat Cost": ROUTED_FEE}, rel=1e-9 + ) + assert cost == pytest.approx(routed_prompt_cost + routed_completion_cost + ROUTED_FEE, rel=1e-9) + + @pytest.mark.parametrize("router_entry_name", ["model_router", "model-router"]) + def test_response_priced_as_the_router_entry_charges_the_fee_once(self, router_entry_name: str) -> None: + logging_obj = _router_logging(router_entry_name) + cost = completion_cost( + completion_response=_azure_ai_response(router_entry_name), + model=router_entry_name, + custom_llm_provider="azure_ai", + litellm_logging_obj=logging_obj, + ) + breakdown = logging_obj.cost_breakdown + assert breakdown is not None + assert "additional_costs" not in breakdown + assert breakdown["input_cost"] == pytest.approx(ROUTED_FEE, rel=1e-9) + assert cost == pytest.approx(ROUTED_FEE, rel=1e-9) class TestAzureAIServiceTierCostCalculation: @@ -459,26 +313,27 @@ class TestAzureAIServiceTierCostCalculation: @pytest.fixture(autouse=True) def register_test_model(self): import litellm - litellm.register_model(model_cost={ - "test-azure-ai-model": { - "input_cost_per_token": 0.001, - "output_cost_per_token": 0.002, - "input_cost_per_token_priority": 0.01, - "output_cost_per_token_priority": 0.02, - "input_cost_per_token_flex": 0.0005, - "output_cost_per_token_flex": 0.001, - "litellm_provider": "azure_ai", - "max_tokens": 8192, + + litellm.register_model( + model_cost={ + "test-azure-ai-model": { + "input_cost_per_token": 0.001, + "output_cost_per_token": 0.002, + "input_cost_per_token_priority": 0.01, + "output_cost_per_token_priority": 0.02, + "input_cost_per_token_flex": 0.0005, + "output_cost_per_token_flex": 0.001, + "litellm_provider": "azure_ai", + "max_tokens": 8192, + } } - }) + ) def test_service_tier_priority_higher_cost(self): """Priority tier should cost more than standard for azure_ai.""" usage = Usage(prompt_tokens=1000, completion_tokens=500, total_tokens=1500) - standard_prompt, standard_completion = cost_per_token( - model="test-azure-ai-model", usage=usage - ) + standard_prompt, standard_completion = cost_per_token(model="test-azure-ai-model", usage=usage) priority_prompt, priority_completion = cost_per_token( model="test-azure-ai-model", usage=usage, service_tier="priority" ) @@ -490,12 +345,8 @@ class TestAzureAIServiceTierCostCalculation: """Flex tier should cost less than standard for azure_ai.""" usage = Usage(prompt_tokens=1000, completion_tokens=500, total_tokens=1500) - standard_prompt, standard_completion = cost_per_token( - model="test-azure-ai-model", usage=usage - ) - flex_prompt, flex_completion = cost_per_token( - model="test-azure-ai-model", usage=usage, service_tier="flex" - ) + standard_prompt, standard_completion = cost_per_token(model="test-azure-ai-model", usage=usage) + flex_prompt, flex_completion = cost_per_token(model="test-azure-ai-model", usage=usage, service_tier="flex") assert flex_prompt < standard_prompt assert flex_completion < standard_completion diff --git a/tests/test_litellm/llms/azure_ai/test_azure_ai_foundry_catalog_model_metadata.py b/tests/test_litellm/llms/azure_ai/test_azure_ai_foundry_catalog_model_metadata.py new file mode 100644 index 00000000000..84d5cd2a7d4 --- /dev/null +++ b/tests/test_litellm/llms/azure_ai/test_azure_ai_foundry_catalog_model_metadata.py @@ -0,0 +1,113 @@ +from pathlib import Path +from typing import Final + +import pytest +from pydantic import TypeAdapter + +from litellm import completion_cost, cost_per_token, get_model_info +from litellm.litellm_core_utils.get_llm_provider_logic import get_llm_provider +from litellm.types.utils import TranscriptionResponse + +REPO_ROOT: Final = Path(__file__).parents[4] +MAIN_COST_MAP: Final = REPO_ROOT / "model_prices_and_context_window.json" +BACKUP_COST_MAP: Final = REPO_ROOT / "litellm" / "model_prices_and_context_window_backup.json" +COST_MAP_ADAPTER: Final = TypeAdapter(dict[str, dict[str, object]]) +AZURE_PRICING_PREFIX: Final = "https://azure.microsoft.com/en-us/pricing/details/" +A_MILLION: Final = 1_000_000 +AN_HOUR_IN_SECONDS: Final = 3600 + +TOKEN_PRICED_NAMES: Final = ( + "gpt-chat-latest", + "codex-mini", + "model-router", + "cohere-command-a", + "grok-4-20-reasoning", + "grok-4-20-non-reasoning", +) +GROK_4_20_NAMES: Final = ("grok-4-20-reasoning", "grok-4-20-non-reasoning") +CATALOG_NAMES: Final = TOKEN_PRICED_NAMES + ("whisper",) + + +def _cost_map_entry(path: Path, catalog_name: str) -> dict[str, object]: + return COST_MAP_ADAPTER.validate_json(path.read_bytes())[f"azure_ai/{catalog_name}"] + + +def _whisper_transcription_cost(duration_seconds: int) -> float: + transcription: Final = TranscriptionResponse(text="hello") + transcription._hidden_params = { # pyright: ignore[reportPrivateUsage] # TranscriptionResponse exposes no public hidden-params setter + "custom_llm_provider": "azure_ai", + "model": "azure_ai/whisper", + "audio_transcription_duration": duration_seconds, + } + return completion_cost( + completion_response=transcription, + model="azure_ai/whisper", + custom_llm_provider="azure_ai", + call_type="atranscription", + ) + + +@pytest.mark.parametrize("catalog_name", CATALOG_NAMES) +def test_azure_ai_catalog_name_routes_to_azure_ai(catalog_name: str) -> None: + routed_model, provider, _, _ = get_llm_provider(model=f"azure_ai/{catalog_name}") + assert (routed_model, provider) == (catalog_name, "azure_ai") + + +@pytest.mark.usefixtures("local_model_cost_map") +@pytest.mark.parametrize("catalog_name", TOKEN_PRICED_NAMES) +def test_azure_ai_catalog_name_charges_its_own_entry_per_token(catalog_name: str) -> None: + entry: Final = get_model_info(f"azure_ai/{catalog_name}") + prompt_cost, completion_cost_usd = cost_per_token( + model=f"azure_ai/{catalog_name}", prompt_tokens=A_MILLION, completion_tokens=A_MILLION + ) + assert prompt_cost > 0 + assert prompt_cost == pytest.approx(A_MILLION * entry["input_cost_per_token"]) + assert completion_cost_usd == pytest.approx(A_MILLION * entry["output_cost_per_token"]) + + +@pytest.mark.usefixtures("local_model_cost_map") +@pytest.mark.parametrize("catalog_name", TOKEN_PRICED_NAMES) +def test_azure_ai_catalog_name_prices_the_same_in_any_casing(catalog_name: str) -> None: + lowercase_cost = cost_per_token(model=f"azure_ai/{catalog_name}", prompt_tokens=A_MILLION, completion_tokens=0) + upper_cost = cost_per_token(model=f"azure_ai/{catalog_name.upper()}", prompt_tokens=A_MILLION, completion_tokens=0) + assert upper_cost == lowercase_cost + + +@pytest.mark.usefixtures("local_model_cost_map") +@pytest.mark.parametrize("catalog_name", GROK_4_20_NAMES) +def test_azure_ai_grok_4_20_bills_cached_prompt_tokens_at_the_input_price(catalog_name: str) -> None: + uncached_prompt_cost, _ = cost_per_token(model=f"azure_ai/{catalog_name}", prompt_tokens=A_MILLION, completion_tokens=0) + cached_prompt_cost, _ = cost_per_token( + model=f"azure_ai/{catalog_name}", + prompt_tokens=A_MILLION, + completion_tokens=0, + cache_read_input_tokens=A_MILLION, + ) + assert uncached_prompt_cost > 0 + assert cached_prompt_cost == pytest.approx(uncached_prompt_cost) + + +@pytest.mark.usefixtures("local_model_cost_map") +def test_azure_ai_whisper_catalog_name_is_priced_per_second() -> None: + one_second_cost: Final = _whisper_transcription_cost(1) + one_hour_cost: Final = _whisper_transcription_cost(AN_HOUR_IN_SECONDS) + assert one_second_cost > 0 + assert one_hour_cost == pytest.approx(AN_HOUR_IN_SECONDS * one_second_cost) + + +@pytest.mark.parametrize("catalog_name", CATALOG_NAMES) +def test_azure_ai_catalog_entry_source_and_backup_match(catalog_name: str) -> None: + main_entry = _cost_map_entry(MAIN_COST_MAP, catalog_name) + backup_entry = _cost_map_entry(BACKUP_COST_MAP, catalog_name) + + assert str(main_entry["source"]).startswith(AZURE_PRICING_PREFIX) + assert backup_entry == main_entry + + +def test_azure_ai_model_router_spellings_share_one_entry() -> None: + underscore_entry = _cost_map_entry(MAIN_COST_MAP, "model_router") + hyphen_entry = _cost_map_entry(MAIN_COST_MAP, "model-router") + + assert {k: v for k, v in underscore_entry.items() if k != "comment"} == { + k: v for k, v in hyphen_entry.items() if k != "comment" + } diff --git a/tests/test_litellm/llms/bedrock/embed/test_bedrock_async_invoke_embedding.py b/tests/test_litellm/llms/bedrock/embed/test_bedrock_async_invoke_embedding.py index 74a55cc1ef2..ddbd3a2e9ba 100644 --- a/tests/test_litellm/llms/bedrock/embed/test_bedrock_async_invoke_embedding.py +++ b/tests/test_litellm/llms/bedrock/embed/test_bedrock_async_invoke_embedding.py @@ -184,6 +184,45 @@ class TestBedrockAsyncInvokeEmbedding: request_url = mock_post.call_args.kwargs.get("url", "") assert "/async-invoke" in request_url + def test_async_invoke_marengo_3_wraps_the_nested_payload_with_the_base_model_id(self): + client = HTTPHandler() + + with patch.object(client, "post") as mock_post: + mock_response = Mock() + mock_response.status_code = 200 + mock_response.text = json.dumps(async_invoke_response) + mock_response.json = lambda: json.loads(mock_response.text) + mock_post.return_value = mock_response + + response = litellm.embedding( + model="bedrock/async_invoke/twelvelabs.marengo-embed-3-0-v1:0", + input="s3://test-bucket/clip.mp4", + client=client, + aws_region_name="us-east-1", + aws_bedrock_runtime_endpoint="https://bedrock-runtime.us-east-1.amazonaws.com", + api_key="test-bearer-token-12345", + input_type="video", + embeddingOption=["visual", "audio"], + segmentation={"method": "fixed", "fixed": {"durationSec": 6}}, + bucketOwner="123456789012", + output_s3_uri="s3://test-bucket/async-invoke-output/", + ) + + assert response._hidden_params._invocation_arn == async_invoke_response["invocationArn"] + assert mock_post.call_args.kwargs["url"].endswith("/async-invoke") + assert json.loads(mock_post.call_args.kwargs["data"]) == { + "modelId": "twelvelabs.marengo-embed-3-0-v1:0", + "modelInput": { + "inputType": "video", + "video": { + "mediaSource": {"s3Location": {"uri": "s3://test-bucket/clip.mp4", "bucketOwner": "123456789012"}}, + "segmentation": {"method": "fixed", "fixed": {"durationSec": 6}}, + "embeddingOption": ["visual", "audio"], + }, + }, + "outputDataConfig": {"s3OutputDataConfig": {"s3Uri": "s3://test-bucket/async-invoke-output/"}}, + } + @pytest.mark.asyncio async def test_async_invoke_twelvelabs_embedding_async_with_mock(self): """Test async invoke embedding with async calls.""" diff --git a/tests/test_litellm/llms/bedrock/embed/test_bedrock_embedding.py b/tests/test_litellm/llms/bedrock/embed/test_bedrock_embedding.py index 50f8bbcf584..bcd1a29d0e8 100644 --- a/tests/test_litellm/llms/bedrock/embed/test_bedrock_embedding.py +++ b/tests/test_litellm/llms/bedrock/embed/test_bedrock_embedding.py @@ -5,6 +5,7 @@ from unittest.mock import Mock, patch import pytest import litellm +from litellm.llms.bedrock.embed.twelvelabs_marengo_transformation import TwelveLabsMarengoEmbeddingConfig from litellm.llms.custom_httpx.http_handler import AsyncHTTPHandler, HTTPHandler # Mock responses for different embedding models @@ -1059,3 +1060,182 @@ def test_bedrock_embedding_bearer_token_never_runs_the_sigv4_credential_chain(mo assert response.data[0]["embedding"] == titan_embedding_response["embedding"] assert mock_post.call_args.kwargs["headers"]["Authorization"] == "Bearer env-bearer-token-12345" + + +marengo_3_embedding_response = {"data": [{"embedding": [0.01 * i for i in range(512)]}]} +MARENGO_3_DUCK = "data:image/png;base64,ZHVjaw==" + + +@pytest.mark.parametrize( + "model,kwargs,expected_body,expected_usage_details", + [ + ( + "bedrock/us.twelvelabs.marengo-embed-3-0-v1:0", + {"input_type": "text"}, + {"inputType": "text", "text": {"inputText": "a duck on water"}}, + {"query_count": 1}, + ), + ( + "bedrock/twelvelabs.marengo-embed-3-0-v1:0", + {"input_type": "text"}, + {"inputType": "text", "text": {"inputText": "a duck on water"}}, + {"query_count": 1}, + ), + ( + "bedrock/us.twelvelabs.marengo-embed-3-0-v1:0", + {"input_type": "text_image", "media_source": MARENGO_3_DUCK}, + { + "inputType": "text_image", + "text_image": {"inputText": "a duck on water", "mediaSource": {"base64String": "ZHVjaw=="}}, + }, + {"query_count": 1, "image_count": 1}, + ), + ( + "bedrock/us.twelvelabs.marengo-embed-3-0-v1:0", + {"input_type": "multi_input", "media_sources": {"bird": MARENGO_3_DUCK}}, + { + "inputType": "multi_input", + "multi_input": { + "inputText": "a duck on water", + "mediaSources": [{"name": "bird", "mediaType": "image", "base64String": "ZHVjaw=="}], + }, + }, + {"query_count": 1, "image_count": 1}, + ), + ], +) +def test_marengo_3_embedding_sends_the_nested_payload_and_parses_512_dims( + model, kwargs, expected_body, expected_usage_details +): + client = HTTPHandler() + + with patch.object(client, "post") as mock_post: + mock_response = Mock() + mock_response.status_code = 200 + mock_response.text = json.dumps(marengo_3_embedding_response) + mock_response.json = lambda: json.loads(mock_response.text) + mock_post.return_value = mock_response + + response = litellm.embedding( + model=model, + input="a duck on water", + client=client, + aws_region_name="us-east-1", + api_key="test-bearer-token-12345", + **kwargs, + ) + + assert json.loads(mock_post.call_args.kwargs["data"]) == expected_body + assert mock_post.call_args.kwargs["url"].endswith(f"/model/{model.removeprefix('bedrock/').replace(':', '%3A')}/invoke") + assert len(response.data[0]["embedding"]) == 512 + assert response.data[0]["embedding"][:2] == [0.0, 0.01] + assert response.usage.prompt_tokens == 0 + assert response.usage.total_tokens == 0 + assert response.usage.prompt_tokens_details.model_dump(exclude_none=True) == expected_usage_details + + +def test_marengo_3_image_embedding_sends_the_media_under_the_image_key(): + client = HTTPHandler() + + with patch.object(client, "post") as mock_post: + mock_response = Mock() + mock_response.status_code = 200 + mock_response.text = json.dumps(marengo_3_embedding_response) + mock_response.json = lambda: json.loads(mock_response.text) + mock_post.return_value = mock_response + + response = litellm.embedding( + model="bedrock/us.twelvelabs.marengo-embed-3-0-v1:0", + input=MARENGO_3_DUCK, + client=client, + aws_region_name="us-east-1", + api_key="test-bearer-token-12345", + input_type="image", + ) + + assert json.loads(mock_post.call_args.kwargs["data"]) == { + "inputType": "image", + "image": {"mediaSource": {"base64String": "ZHVjaw=="}}, + } + assert len(response.data[0]["embedding"]) == 512 + assert response.data[0]["embedding"][:2] == [0.0, 0.01] + assert response.usage.prompt_tokens == 0 + assert response.usage.prompt_tokens_details.model_dump(exclude_none=True) == {"image_count": 1} + + +def test_marengo_2_7_embedding_keeps_the_flat_payload(): + client = HTTPHandler() + + with patch.object(client, "post") as mock_post: + mock_response = Mock() + mock_response.status_code = 200 + mock_response.text = json.dumps(twelvelabs_embedding_response) + mock_response.json = lambda: json.loads(mock_response.text) + mock_post.return_value = mock_response + + response = litellm.embedding( + model="bedrock/us.twelvelabs.marengo-embed-2-7-v1:0", + input="a duck on water", + client=client, + aws_region_name="us-east-1", + api_key="test-bearer-token-12345", + input_type="text", + ) + + assert json.loads(mock_post.call_args.kwargs["data"]) == { + "inputType": "text", + "inputText": "a duck on water", + "textTruncate": "end", + } + assert response.data[0]["embedding"] == [0.1, 0.2, 0.3] + assert response.usage.prompt_tokens == 0 + assert response.usage.prompt_tokens_details.model_dump(exclude_none=True) == {"query_count": 1} + + +def test_marengo_usage_counts_text_requests_and_images_across_a_batch(): + duck = {"mediaType": "image", "base64String": "ZHVjaw=="} + response = TwelveLabsMarengoEmbeddingConfig()._transform_response( + response_list=[marengo_3_embedding_response, marengo_3_embedding_response, marengo_3_embedding_response], + model="us.twelvelabs.marengo-embed-3-0-v1:0", + batch_data=[ + {"inputType": "text", "text": {"inputText": "a duck"}}, + {"inputType": "image", "image": {"mediaSource": {"base64String": "ZHVjaw=="}}}, + {"inputType": "multi_input", "multi_input": {"mediaSources": [{"name": "a", **duck}, {"name": "b", **duck}]}}, + ], + ) + + assert [item["index"] for item in response.data] == [0, 1, 2] + assert response.usage.prompt_tokens == 0 + assert response.usage.total_tokens == 0 + assert response.usage.prompt_tokens_details.model_dump(exclude_none=True) == {"query_count": 1, "image_count": 3} + + +def test_marengo_usage_without_request_data_bills_nothing(): + response = TwelveLabsMarengoEmbeddingConfig()._transform_response( + response_list=[marengo_3_embedding_response], model="us.twelvelabs.marengo-embed-3-0-v1:0" + ) + + assert len(response.data[0]["embedding"]) == 512 + assert response.usage.prompt_tokens == 0 + assert response.usage.prompt_tokens_details is None + + +def test_marengo_response_items_without_an_embedding_are_skipped(): + response = TwelveLabsMarengoEmbeddingConfig()._transform_response( + response_list=[{"data": [{"embeddingOption": "visual-text", "startSec": 0.0}, {"embedding": [0.1, 0.2, 0.3]}]}], + model="us.twelvelabs.marengo-embed-3-0-v1:0", + ) + + assert [item["embedding"] for item in response.data] == [[0.1, 0.2, 0.3]] + assert response.data[0]["index"] == 0 + + +def test_marengo_3_text_image_without_media_source_is_a_bad_request(): + with pytest.raises(litellm.BadRequestError, match=r"text_image.*media_source"): + litellm.embedding( + model="bedrock/us.twelvelabs.marengo-embed-3-0-v1:0", + input="a duck on water", + aws_region_name="us-east-1", + api_key="test-bearer-token-12345", + input_type="text_image", + ) diff --git a/tests/test_litellm/llms/bedrock/embed/test_twelvelabs_marengo_3_transformation.py b/tests/test_litellm/llms/bedrock/embed/test_twelvelabs_marengo_3_transformation.py new file mode 100644 index 00000000000..f149953b6f1 --- /dev/null +++ b/tests/test_litellm/llms/bedrock/embed/test_twelvelabs_marengo_3_transformation.py @@ -0,0 +1,416 @@ +import json +from unittest.mock import Mock, patch + +import pytest + +import litellm +from litellm.llms.bedrock.common_utils import BedrockError +from litellm.llms.custom_httpx.http_handler import HTTPHandler +from litellm.llms.bedrock.embed.twelvelabs_marengo_3_transformation import ( + MARENGO_2_7_ONLY_PARAMS, + build_marengo_3_request, + is_marengo_3_model, +) +from litellm.llms.bedrock.embed.twelvelabs_marengo_transformation import ( + TwelveLabsMarengoEmbeddingConfig, + drop_params_enabled, +) + +MARENGO_3_BASE = "twelvelabs.marengo-embed-3-0-v1:0" +MARENGO_3_US = "us.twelvelabs.marengo-embed-3-0-v1:0" +MARENGO_27_US = "us.twelvelabs.marengo-embed-2-7-v1:0" +DUCK_DATA_URL = "data:image/png;base64,ZHVjaw==" +OUTPUT_S3_URI = "s3://out-bucket/marengo/" + + +@pytest.mark.parametrize( + "model,expected", + [ + (MARENGO_3_BASE, True), + (MARENGO_3_US, True), + ("eu.twelvelabs.marengo-embed-3-0-v1:0", True), + ("async_invoke/twelvelabs.marengo-embed-3-0-v1:0", True), + (MARENGO_27_US, False), + ("twelvelabs.marengo-embed-2-7-v1:0", False), + ("twelvelabs.marengo-embed-30-v1:0", False), + (None, False), + ], +) +def test_is_marengo_3_model(model, expected): + assert is_marengo_3_model(model) is expected + + +def wire(request: object) -> object: + return json.loads(json.dumps(request)) + + +def test_text_request_nests_input_text_under_text(): + assert build_marengo_3_request("a dog on the beach", {"input_type": "text"}) == { + "inputType": "text", + "text": {"inputText": "a dog on the beach"}, + } + + +def test_missing_input_type_defaults_to_text(): + assert build_marengo_3_request("hello", {})["inputType"] == "text" + + +def test_camel_case_input_type_wins_over_snake_case(): + request = build_marengo_3_request(DUCK_DATA_URL, {"inputType": "image", "input_type": "text"}) + assert request["inputType"] == "image" + + +def test_image_request_strips_data_url_prefix(): + assert build_marengo_3_request(DUCK_DATA_URL, {"input_type": "image"}) == { + "inputType": "image", + "image": {"mediaSource": {"base64String": "ZHVjaw=="}}, + } + + +def test_image_request_from_s3_carries_bucket_owner(): + request = build_marengo_3_request("s3://media/duck.png", {"input_type": "image", "bucketOwner": "123456789012"}) + assert request == { + "inputType": "image", + "image": {"mediaSource": {"s3Location": {"uri": "s3://media/duck.png", "bucketOwner": "123456789012"}}}, + } + + +@pytest.mark.parametrize( + "input_media,params", + [ + ("s3://media/duck.png", {"input_type": "image"}), + ("s3://media/clip.mp4", {"input_type": "video"}), + ("a duck", {"input_type": "text_image", "media_source": "s3://media/duck.png"}), + ("a duck", {"input_type": "multi_input", "media_sources": {"img1": "s3://media/duck.png"}}), + ], +) +def test_s3_media_without_bucket_owner_is_rejected_naming_it(input_media, params): + with pytest.raises(BedrockError) as excinfo: + build_marengo_3_request(input_media, params) + assert excinfo.value.status_code == 400 + assert excinfo.value.message == ( + "s3:// media requires the 'bucketOwner' parameter, the account id that owns the bucket" + ) + + +def test_text_image_request_pairs_text_with_media_source(): + request = build_marengo_3_request( + "a duck", {"input_type": "text_image", "media_source": DUCK_DATA_URL, "output_s3_uri": OUTPUT_S3_URI} + ) + assert request == { + "inputType": "text_image", + "text_image": {"inputText": "a duck", "mediaSource": {"base64String": "ZHVjaw=="}}, + } + + +def test_text_image_request_requires_media_source(): + with pytest.raises(BedrockError, match=r"text_image.*media_source") as excinfo: + build_marengo_3_request("a duck", {"input_type": "text_image"}) + assert excinfo.value.status_code == 400 + + +def test_multi_input_request_names_each_media_source(): + request = build_marengo_3_request( + "a photo of <@bird> next to <@dog>", + { + "input_type": "multi_input", + "media_sources": {"bird": DUCK_DATA_URL, "dog": "s3://media/dog.png"}, + "bucketOwner": "123456789012", + }, + ) + assert wire(request) == { + "inputType": "multi_input", + "multi_input": { + "inputText": "a photo of <@bird> next to <@dog>", + "mediaSources": [ + {"name": "bird", "mediaType": "image", "base64String": "ZHVjaw=="}, + { + "name": "dog", + "mediaType": "image", + "s3Location": {"uri": "s3://media/dog.png", "bucketOwner": "123456789012"}, + }, + ], + }, + } + + +def test_multi_input_without_text_omits_input_text(): + request = build_marengo_3_request("", {"input_type": "multi_input", "media_sources": {"bird": DUCK_DATA_URL}}) + assert "inputText" not in request["multi_input"] + assert request["multi_input"]["mediaSources"][0]["name"] == "bird" + + +@pytest.mark.parametrize("params", [{"input_type": "multi_input"}, {"input_type": "multi_input", "media_sources": {}}]) +def test_multi_input_request_requires_media_sources(params): + with pytest.raises(BedrockError, match=r"multi_input.*media_sources") as excinfo: + build_marengo_3_request("<@bird>", params) + assert excinfo.value.status_code == 400 + + +@pytest.mark.parametrize("input_type", ["video", "audio"]) +def test_timed_media_request_nests_every_option_under_the_media_key(input_type): + request = build_marengo_3_request( + "s3://media/clip.mp4", + { + "input_type": input_type, + "startSec": 2, + "endSec": 12.5, + "segmentation": {"method": "dynamic", "dynamic": {"minDurationSec": 4}}, + "embeddingOption": ["visual", "audio"], + "embeddingType": ["fused_embedding"], + "embeddingScope": ["clip", "asset"], + "inferenceId": "req-42", + "bucketOwner": "123456789012", + }, + ) + assert wire(request) == { + "inputType": input_type, + input_type: { + "mediaSource": {"s3Location": {"uri": "s3://media/clip.mp4", "bucketOwner": "123456789012"}}, + "startSec": 2.0, + "endSec": 12.5, + "segmentation": {"method": "dynamic", "dynamic": {"minDurationSec": 4}}, + "embeddingOption": ["visual", "audio"], + "embeddingType": ["fused_embedding"], + "embeddingScope": ["clip", "asset"], + }, + "inferenceId": "req-42", + } + + +def test_timed_media_request_without_options_carries_only_the_media_source(): + request = build_marengo_3_request("s3://media/clip.mp4", {"input_type": "video", "bucketOwner": "123456789012"}) + assert request["video"] == { + "mediaSource": {"s3Location": {"uri": "s3://media/clip.mp4", "bucketOwner": "123456789012"}} + } + + +@pytest.mark.parametrize( + "params", + [ + {"input_type": "clip"}, + {"input_type": "video", "embeddingOption": ["visual-text"]}, + {"input_type": "video", "segmentation": {"method": "fixed", "dynamic": {"minDurationSec": 4}}}, + {"input_type": "multi_input", "media_sources": ["not", "a", "mapping"]}, + ], +) +def test_invalid_marengo_3_params_are_rejected_before_the_request_is_sent(params): + with pytest.raises(BedrockError, match=r"Invalid Marengo 3\.0 parameters") as excinfo: + build_marengo_3_request("s3://media/clip.mp4", params) + assert excinfo.value.status_code == 400 + + +def test_config_sends_the_nested_payload_for_marengo_3_and_the_flat_one_for_2_7(): + nested = TwelveLabsMarengoEmbeddingConfig(model=MARENGO_3_US)._transform_request( + input="hello", inference_params={"input_type": "text"} + ) + flat = TwelveLabsMarengoEmbeddingConfig(model=MARENGO_27_US)._transform_request( + input="hello", inference_params={"input_type": "text"} + ) + assert nested == {"inputType": "text", "text": {"inputText": "hello"}} + assert flat == {"inputType": "text", "inputText": "hello", "textTruncate": "end"} + + +def test_config_without_a_model_keeps_the_2_7_payload(): + request = TwelveLabsMarengoEmbeddingConfig()._transform_request(input="hello", inference_params={}) + assert request == {"inputType": "text", "inputText": "hello", "textTruncate": "end"} + + +@pytest.mark.parametrize("input_type", ["video", "audio"]) +def test_marengo_3_video_and_audio_still_require_the_async_route(input_type): + with pytest.raises(ValueError, match=f"Input type '{input_type}' requires async_invoke route"): + TwelveLabsMarengoEmbeddingConfig(model=MARENGO_3_BASE)._transform_request( + input="s3://media/clip.mp4", inference_params={"input_type": input_type} + ) + + +def test_marengo_3_async_invoke_wraps_the_nested_payload_with_the_base_model_id(): + request = TwelveLabsMarengoEmbeddingConfig(model=MARENGO_3_BASE)._transform_request( + input="s3://media/clip.mp4", + inference_params={ + "input_type": "video", + "embeddingOption": ["visual"], + "bucketOwner": "123456789012", + "output_s3_uri": OUTPUT_S3_URI, + }, + async_invoke_route=True, + model_id="async_invoke%2Ftwelvelabs.marengo-embed-3-0-v1%3A0", + output_s3_uri=OUTPUT_S3_URI, + ) + assert wire(request) == { + "modelId": MARENGO_3_BASE, + "modelInput": { + "inputType": "video", + "video": { + "mediaSource": {"s3Location": {"uri": "s3://media/clip.mp4", "bucketOwner": "123456789012"}}, + "embeddingOption": ["visual"], + }, + }, + "outputDataConfig": {"s3OutputDataConfig": {"s3Uri": OUTPUT_S3_URI}}, + } + + +def test_marengo_3_async_invoke_requires_an_output_s3_uri(): + with pytest.raises(ValueError, match="output_s3_uri cannot be empty"): + TwelveLabsMarengoEmbeddingConfig(model=MARENGO_3_BASE)._transform_request( + input="hello", + inference_params={"input_type": "text"}, + async_invoke_route=True, + model_id=MARENGO_3_BASE, + output_s3_uri="", + ) + + +def test_encoding_format_float_no_longer_injects_2_7_embedding_options_for_marengo_3(): + marengo_3 = TwelveLabsMarengoEmbeddingConfig(model=MARENGO_3_US).map_openai_params( + non_default_params={"encoding_format": "float"}, optional_params={} + ) + marengo_27 = TwelveLabsMarengoEmbeddingConfig(model=MARENGO_27_US).map_openai_params( + non_default_params={"encoding_format": "float"}, optional_params={} + ) + assert marengo_3 == {} + assert marengo_27 == {"embeddingOption": ["visual-text", "visual-image"]} + + +def test_marengo_3_only_params_are_forwarded_by_map_openai_params(): + mapped = TwelveLabsMarengoEmbeddingConfig(model=MARENGO_3_US).map_openai_params( + non_default_params={ + "input_type": "text_image", + "media_source": DUCK_DATA_URL, + "media_sources": {"bird": DUCK_DATA_URL}, + "endSec": 5, + "segmentation": {"method": "fixed", "fixed": {"durationSec": 6}}, + "embeddingType": ["separate_embedding"], + "embeddingScope": ["clip"], + "inferenceId": "req-1", + }, + optional_params={}, + ) + assert mapped == { + "inputType": "text_image", + "media_source": DUCK_DATA_URL, + "media_sources": {"bird": DUCK_DATA_URL}, + "endSec": 5, + "segmentation": {"method": "fixed", "fixed": {"durationSec": 6}}, + "embeddingType": ["separate_embedding"], + "embeddingScope": ["clip"], + "inferenceId": "req-1", + } + + +@pytest.mark.parametrize( + "params,problem", + [ + ( + {"input_type": "clip"}, + "input_type: Input should be 'text', 'image', 'video', 'audio', 'text_image' or 'multi_input'", + ), + ({"input_type": "video", "embeddingOption": "visual"}, "embeddingOption: Input should be a valid tuple"), + ( + {"input_type": "multi_input", "media_sources": ["not", "a", "mapping"]}, + "media_sources: Input should be a valid dictionary", + ), + ], +) +def test_invalid_marengo_3_params_name_the_field_and_the_reason(params, problem): + with pytest.raises(BedrockError) as excinfo: + build_marengo_3_request("s3://media/clip.mp4", params) + assert excinfo.value.message == f"Invalid Marengo 3.0 parameters: {problem}" + + +MARENGO_2_7_ONLY_VALUES = {"textTruncate": "end", "lengthSec": 5, "useFixedLengthSec": True, "minClipSec": 2} + + +@pytest.mark.parametrize("name", MARENGO_2_7_ONLY_PARAMS) +def test_marengo_2_7_only_params_are_rejected_on_3_0_unless_dropped(name): + params = {"input_type": "text", name: MARENGO_2_7_ONLY_VALUES[name]} + with pytest.raises(BedrockError) as excinfo: + build_marengo_3_request("hello", params) + assert excinfo.value.status_code == 400 + assert excinfo.value.message == ( + f"Marengo 3.0 does not accept the Marengo 2.7 parameters {name}; set drop_params to drop them" + ) + assert build_marengo_3_request("hello", params, drop_params=True) == { + "inputType": "text", + "text": {"inputText": "hello"}, + } + + +def test_marengo_2_7_only_params_are_advertised_only_for_2_7(): + marengo_3 = TwelveLabsMarengoEmbeddingConfig(model=MARENGO_3_US).get_supported_openai_params() + marengo_27 = TwelveLabsMarengoEmbeddingConfig(model=MARENGO_27_US).get_supported_openai_params() + assert set(MARENGO_2_7_ONLY_PARAMS).isdisjoint(marengo_3) + assert set(MARENGO_2_7_ONLY_PARAMS) <= set(marengo_27) + assert set(marengo_3) <= set(marengo_27) + + +def test_drop_params_comes_from_the_call_or_the_global(monkeypatch): + monkeypatch.setattr(litellm, "drop_params", False) + assert drop_params_enabled({}) is False + assert drop_params_enabled({"drop_params": True}) is True + monkeypatch.setattr(litellm, "drop_params", True) + assert drop_params_enabled({}) is True + + +def test_config_drops_marengo_2_7_only_params_only_when_asked(): + config = TwelveLabsMarengoEmbeddingConfig(model=MARENGO_3_US) + with pytest.raises(BedrockError, match=r"Marengo 2\.7 parameters textTruncate"): + config._transform_request("hello", {"textTruncate": "end"}) + assert config._transform_request("hello", {"textTruncate": "end"}, drop_params=True) == { + "inputType": "text", + "text": {"inputText": "hello"}, + } + + +@pytest.mark.parametrize( + "params", + [ + {"input_type": "text"}, + {"input_type": "image"}, + {"input_type": "text_image", "media_source": DUCK_DATA_URL}, + {"input_type": "multi_input", "media_sources": {"bird": DUCK_DATA_URL}}, + ], +) +def test_timed_media_options_are_rejected_on_untimed_input_types_unless_dropped(params): + timed = {**params, "startSec": 0, "embeddingOption": ["visual"]} + with pytest.raises(BedrockError) as excinfo: + build_marengo_3_request(DUCK_DATA_URL, timed) + assert excinfo.value.status_code == 400 + assert excinfo.value.message == ( + f"Input type '{params['input_type']}' does not accept startSec, embeddingOption; set drop_params to drop them" + ) + assert build_marengo_3_request(DUCK_DATA_URL, timed, drop_params=True) == build_marengo_3_request( + DUCK_DATA_URL, params + ) + + +def _embed_marengo_3_us(client: HTTPHandler, **params: object): + return litellm.embedding( + model=f"bedrock/{MARENGO_3_US}", + input="hello", + client=client, + aws_region_name="us-east-1", + aws_bedrock_runtime_endpoint="https://bedrock-runtime.us-east-1.amazonaws.com", + api_key="test-bearer-token", + **params, + ) + + +def test_per_request_drop_params_reaches_the_marengo_3_builder(monkeypatch): + monkeypatch.setattr(litellm, "drop_params", False) + client = HTTPHandler() + with patch.object(client, "post") as mock_post: + mock_response = Mock() + mock_response.status_code = 200 + mock_response.text = json.dumps({"data": [{"embedding": [0.1, 0.2]}]}) + mock_response.json = lambda: json.loads(mock_response.text) + mock_post.return_value = mock_response + + with pytest.raises(litellm.BadRequestError, match=r"Marengo 2\.7 parameters textTruncate"): + _embed_marengo_3_us(client, textTruncate="end") + assert mock_post.call_count == 0 + + response = _embed_marengo_3_us(client, textTruncate="end", drop_params=True) + + assert response.data[0]["embedding"] == [0.1, 0.2] + assert json.loads(mock_post.call_args.kwargs["data"]) == {"inputType": "text", "text": {"inputText": "hello"}} diff --git a/tests/test_litellm/llms/bedrock/files/test_bedrock_files_transformation.py b/tests/test_litellm/llms/bedrock/files/test_bedrock_files_transformation.py index 541c0db15d8..3b01a4f2054 100644 --- a/tests/test_litellm/llms/bedrock/files/test_bedrock_files_transformation.py +++ b/tests/test_litellm/llms/bedrock/files/test_bedrock_files_transformation.py @@ -5,6 +5,8 @@ Test bedrock files transformation functionality import json import os from collections.abc import Mapping +from contextlib import AsyncExitStack, closing +from typing import Final from unittest.mock import MagicMock from urllib.parse import unquote, urlparse @@ -1855,6 +1857,104 @@ class TestBedrockBatchNonChatEndpointRecords: ] +class TestBedrockFileDeletion: + S3_URI: Final = "s3://my-bucket/litellm-bedrock-files-model-abc.jsonl" + URL: Final = "https://s3.us-west-2.amazonaws.com/my-bucket/litellm-bedrock-files-model-abc.jsonl" + + def test_interleaved_deletions_keep_their_own_file_ids(self, monkeypatch: pytest.MonkeyPatch) -> None: + import httpx + + from litellm.llms.bedrock.files.transformation import BedrockFilesConfig + + monkeypatch.setenv("AWS_S3_BUCKET_NAME", "my-bucket") + config: Final = BedrockFilesConfig() + params: Final = { + "aws_access_key_id": "AKIAEXAMPLE", + "aws_secret_access_key": "test-secret", + "aws_region_name": "us-west-2", + } + file_ids: Final = (self.S3_URI, "s3://my-bucket/litellm-bedrock-files-model-second.jsonl") + for file_id in file_ids: + config.transform_delete_file_request(file_id=file_id, optional_params={}, litellm_params=params) + + deleted: Final = tuple( + config.transform_delete_file_response( + raw_response=httpx.Response(204), + logging_obj=MagicMock(model_call_details={"additional_args": {"file_id": file_id}}), + litellm_params=params, + ).id + for file_id in file_ids + ) + + assert deleted == file_ids + + def test_delete_file_sends_signed_delete_and_returns_matching_id(self, monkeypatch: pytest.MonkeyPatch) -> None: + import httpx + import respx + + import litellm + from litellm.llms.custom_httpx.http_handler import HTTPHandler + + monkeypatch.setenv("AWS_S3_BUCKET_NAME", "my-bucket") + with respx.mock, closing(HTTPHandler()) as client: + route: Final = respx.delete(self.URL).mock(return_value=httpx.Response(204)) + deleted: Final = litellm.file_delete( + file_id=self.S3_URI, custom_llm_provider="bedrock", client=client, + aws_access_key_id="AKIAEXAMPLE", aws_secret_access_key="test-secret", aws_region_name="us-west-2", + ) + assert route.call_count == 1 + request: Final = route.calls[0].request + assert request.content == b"" + signed: Final = AWSRequest(method="DELETE", url=self.URL, headers={ + "X-Amz-Date": request.headers["X-Amz-Date"], + "X-Amz-Content-SHA256": request.headers["X-Amz-Content-SHA256"], + }) + signed.context["timestamp"] = request.headers["X-Amz-Date"] + auth: Final = S3SigV4Auth(Credentials("AKIAEXAMPLE", "test-secret"), "s3", "us-west-2") + signature: Final = auth.signature(auth.string_to_sign(signed, auth.canonical_request(signed)), signed) + assert request.headers["Authorization"].endswith(f"Signature={signature}") + assert deleted.id == self.S3_URI and deleted.deleted is True + + @pytest.mark.asyncio + async def test_adelete_file_propagates_s3_errors(self, monkeypatch: pytest.MonkeyPatch) -> None: + import httpx + import respx + + import litellm + from litellm.llms.custom_httpx.http_handler import AsyncHTTPHandler + + monkeypatch.setenv("AWS_S3_BUCKET_NAME", "my-bucket") + monkeypatch.setenv("DISABLE_AIOHTTP_TRANSPORT", "True") + async with AsyncExitStack() as stack: + client: Final = AsyncHTTPHandler() + stack.push_async_callback(client.close) + with respx.mock: + route: Final = respx.delete(self.URL).mock( + return_value=httpx.Response(403, content=b"AccessDenied") + ) + from litellm.llms.bedrock.common_utils import BedrockError + + with pytest.raises(BedrockError, match="AccessDenied"): + await litellm.afile_delete( + file_id=self.S3_URI, custom_llm_provider="bedrock", client=client, + aws_access_key_id="AKIAEXAMPLE", aws_secret_access_key="test-secret", aws_region_name="us-west-2", + ) + assert route.call_count == 1 + + @pytest.mark.parametrize("file_id, message", [ + ("s3://other-bucket/litellm-bedrock-files-model-abc.jsonl", "configured storage bucket"), + ("s3://my-bucket/private/data.jsonl", "LiteLLM-managed"), + ]) + def test_delete_rejects_untrusted_objects_before_signing( + self, file_id: str, message: str, monkeypatch: pytest.MonkeyPatch + ) -> None: + from litellm.llms.bedrock.files.transformation import BedrockFilesConfig + + monkeypatch.setenv("AWS_S3_BUCKET_NAME", "my-bucket") + with pytest.raises(ValueError, match=message): + BedrockFilesConfig().transform_delete_file_request(file_id=file_id, optional_params={}, litellm_params={}) + + class TestBedrockFileContentTransformation: """SigV4-signed S3 GetObject retrieval of Bedrock batch output files.""" @@ -1873,7 +1973,7 @@ class TestBedrockFileContentTransformation: import hashlib from litellm.llms.bedrock.files.transformation import ( - S3_SIGNED_GET_HEADERS_PARAM, + S3_SIGNED_REQUEST_HEADERS_PARAM, BedrockFilesConfig, ) @@ -1889,7 +1989,7 @@ class TestBedrockFileContentTransformation: assert url == self.EXPECTED_URL assert params == {} - signed_headers = litellm_params[S3_SIGNED_GET_HEADERS_PARAM] + signed_headers = litellm_params[S3_SIGNED_REQUEST_HEADERS_PARAM] content_hashes = { value for name, value in signed_headers.items() @@ -2139,7 +2239,7 @@ class TestBedrockFileContentTransformation: def test_s3_region_name_wins_for_content_signing(self, monkeypatch): """s3_region_name must override aws_region_name for both the URL and the signature.""" from litellm.llms.bedrock.files.transformation import ( - S3_SIGNED_GET_HEADERS_PARAM, + S3_SIGNED_REQUEST_HEADERS_PARAM, BedrockFilesConfig, ) @@ -2154,17 +2254,17 @@ class TestBedrockFileContentTransformation: ) assert url.startswith("https://s3.eu-west-1.amazonaws.com/") - authorization = litellm_params[S3_SIGNED_GET_HEADERS_PARAM]["Authorization"] + authorization = litellm_params[S3_SIGNED_REQUEST_HEADERS_PARAM]["Authorization"] assert "/eu-west-1/s3/aws4_request" in authorization def test_validate_environment_merges_and_pops_signed_get_headers(self): from litellm.llms.bedrock.files.transformation import ( - S3_SIGNED_GET_HEADERS_PARAM, + S3_SIGNED_REQUEST_HEADERS_PARAM, BedrockFilesConfig, ) litellm_params = { - S3_SIGNED_GET_HEADERS_PARAM: {"Authorization": "AWS4-HMAC-SHA256 test"} + S3_SIGNED_REQUEST_HEADERS_PARAM: {"Authorization": "AWS4-HMAC-SHA256 test"} } headers = BedrockFilesConfig().validate_environment( @@ -2179,7 +2279,7 @@ class TestBedrockFileContentTransformation: "x-custom": "kept", "Authorization": "AWS4-HMAC-SHA256 test", } - assert S3_SIGNED_GET_HEADERS_PARAM not in litellm_params + assert S3_SIGNED_REQUEST_HEADERS_PARAM not in litellm_params def test_transform_file_content_response_wraps_binary_content(self): import httpx @@ -2379,7 +2479,7 @@ class TestBedrockFilesS3SignatureEncoding: self, monkeypatch: pytest.MonkeyPatch ) -> None: from litellm.llms.bedrock.files.transformation import ( - S3_SIGNED_GET_HEADERS_PARAM, + S3_SIGNED_REQUEST_HEADERS_PARAM, BedrockFilesConfig, ) @@ -2402,7 +2502,7 @@ class TestBedrockFilesS3SignatureEncoding: method="GET", url=url, body=None, - headers=litellm_params[S3_SIGNED_GET_HEADERS_PARAM], + headers=litellm_params[S3_SIGNED_REQUEST_HEADERS_PARAM], ) @@ -2457,7 +2557,7 @@ def test_sign_s3_request_assumes_role_with_external_id(monkeypatch): assert "ASIAFILESPUTROLE" in authorization -def test_sign_s3_get_request_assumes_role_with_external_id(monkeypatch): +def test_sign_s3_request_without_body_assumes_role_with_external_id(monkeypatch): """A trust policy requiring sts:ExternalId must be satisfied when signing the S3 download request.""" import datetime from unittest.mock import patch @@ -2504,7 +2604,7 @@ def test_sign_s3_get_request_assumes_role_with_external_id(monkeypatch): assert request_params.aws_external_id == "external-id-files-get" with patch.object(boto3, "client", return_value=FakeSTSClient()): - signed_headers = BedrockFilesConfig()._sign_s3_get_request( + signed_headers = BedrockFilesConfig()._sign_s3_request_without_body( api_base="https://s3.us-east-1.amazonaws.com/safe-bucket/litellm-bedrock-files-model-id-abc.jsonl", aws_region_name="us-east-1", request_params=request_params, diff --git a/tests/test_litellm/llms/bedrock/test_base_aws_llm.py b/tests/test_litellm/llms/bedrock/test_base_aws_llm.py index f854d806bdc..a1c28f36e70 100644 --- a/tests/test_litellm/llms/bedrock/test_base_aws_llm.py +++ b/tests/test_litellm/llms/bedrock/test_base_aws_llm.py @@ -38,6 +38,14 @@ def flush_shared_bedrock_iam_cache(): yield +@pytest.fixture(autouse=True) +def _clean_ssl_env(monkeypatch): + """get_ssl_verify reads these, so the sts client's verify= would otherwise depend on + the ambient environment. The published images set SSL_CERT_FILE.""" + for env_var in ("SSL_CERT_FILE", "SSL_VERIFY"): + monkeypatch.delenv(env_var, raising=False) + + def test_base_aws_llm_instances_share_process_wide_iam_cache(): """Regression LIT-2662: new instances must reuse iam_cache (Bedrock passthrough is per-request).""" first = BaseAWSLLM() diff --git a/tests/test_litellm/llms/fireworks_ai/responses/test_fireworks_ai_responses_transformation.py b/tests/test_litellm/llms/fireworks_ai/responses/test_fireworks_ai_responses_transformation.py index b9408d44e9a..d0697ca9b0e 100644 --- a/tests/test_litellm/llms/fireworks_ai/responses/test_fireworks_ai_responses_transformation.py +++ b/tests/test_litellm/llms/fireworks_ai/responses/test_fireworks_ai_responses_transformation.py @@ -162,7 +162,7 @@ def test_responses_call_forwards_previous_response_id_and_store() -> None: assert body["input"][0]["call_id"] == "call_abc123" -def test_responses_call_sends_developer_items_as_system_messages() -> None: +def test_responses_call_folds_developer_items_into_instructions() -> None: client: Final = _mock_http_client(_fireworks_response("accounts/fireworks/models/kimi-k3")) with patch(HTTPX_CLIENT_FACTORY, return_value=client): litellm.responses( @@ -175,13 +175,183 @@ def test_responses_call_sends_developer_items_as_system_messages() -> None: api_key="fw-test-key", ) _, _, body = _sent_request(client) + assert body["instructions"] == "Answer with exactly one word." assert tuple(body["input"]) == ( {"role": "user", "content": "Hi there"}, - {"role": "system", "content": "Answer with exactly one word.", "type": "message"}, {"role": "user", "content": [{"type": "input_text", "text": "What is the capital of France?"}]}, ) +def test_responses_call_folds_instructions_and_developer_item_into_instructions_with_reasoning_replayed() -> None: + client: Final = _mock_http_client(_fireworks_response("accounts/fireworks/models/qwen3p8-2p4t-a95b")) + with patch(HTTPX_CLIENT_FACTORY, return_value=client): + litellm.responses( + model="fireworks_ai/accounts/fireworks/models/qwen3p8-2p4t-a95b", + instructions="You are a coding agent running in the Codex CLI.", + input=[ # mutable-ok: the Responses API takes input as a JSON list + { + "role": "developer", + "content": [{"type": "input_text", "text": "read-only"}], + }, + {"role": "user", "content": [{"type": "input_text", "text": "What is the capital of France?"}]}, + {"id": "rs_1", "type": "reasoning", "summary": [{"type": "summary_text", "text": "A trivial question."}]}, + { + "id": "msg_1", + "type": "message", + "role": "assistant", + "status": "completed", + "content": [{"type": "output_text", "text": "Paris is the capital of France.", "annotations": []}], + }, + {"role": "user", "content": [{"type": "input_text", "text": "And of Spain?"}]}, + ], + store=False, + api_key="fw-test-key", + ) + _, _, body = _sent_request(client) + assert body["instructions"] == ( + "You are a coding agent running in the Codex CLI.\n\nread-only" + ) + assert tuple(body["input"]) == ( + {"role": "user", "content": [{"type": "input_text", "text": "What is the capital of France?"}]}, + {"id": "rs_1", "type": "reasoning", "summary": [{"type": "summary_text", "text": "A trivial question."}]}, + { + "id": "msg_1", + "type": "message", + "role": "assistant", + "status": "completed", + "content": [{"type": "output_text", "text": "Paris is the capital of France.", "annotations": []}], + }, + {"role": "user", "content": [{"type": "input_text", "text": "And of Spain?"}]}, + ) + + +def test_responses_call_folds_instructions_and_developer_item_with_previous_response_id() -> None: + client: Final = _mock_http_client(_fireworks_response("accounts/fireworks/models/qwen3p8-2p4t-a95b")) + with patch(HTTPX_CLIENT_FACTORY, return_value=client): + litellm.responses( + model="fireworks_ai/accounts/fireworks/models/qwen3p8-2p4t-a95b", + instructions="You are a terse assistant.", + input=[ # mutable-ok: the Responses API takes input as a JSON list + {"role": "developer", "content": "Answer with exactly one word."}, + {"role": "user", "content": "And of Spain?"}, + ], + previous_response_id="resp_0e946f2d46bf4b49bf8b29ff78083583", + store=True, + api_key="fw-test-key", + ) + _, _, body = _sent_request(client) + assert body["instructions"] == "You are a terse assistant.\n\nAnswer with exactly one word." + assert body["previous_response_id"] == "resp_0e946f2d46bf4b49bf8b29ff78083583" + assert tuple(body["input"]) == ({"role": "user", "content": "And of Spain?"},) + + +def test_responses_call_keeps_a_closing_developer_item_after_an_assistant_turn_in_place() -> None: + client: Final = _mock_http_client(_fireworks_response("accounts/fireworks/models/qwen3p8-2p4t-a95b")) + assistant_turn: Final = { + "id": "msg_1", + "type": "message", + "role": "assistant", + "status": "completed", + "content": [{"type": "output_text", "text": "Paris.", "annotations": []}], + } + with patch(HTTPX_CLIENT_FACTORY, return_value=client): + litellm.responses( + model="fireworks_ai/accounts/fireworks/models/qwen3p8-2p4t-a95b", + instructions="Be terse.", + input=[ # mutable-ok: the Responses API takes input as a JSON list + {"role": "developer", "content": "Answer with exactly one word."}, + {"role": "user", "content": "What is the capital of France?"}, + assistant_turn, + {"role": "developer", "content": "Now restate it in French."}, + ], + api_key="fw-test-key", + ) + _, _, body = _sent_request(client) + assert body["instructions"] == "Be terse.\n\nAnswer with exactly one word." + assert tuple(body["input"]) == ( + {"role": "user", "content": "What is the capital of France?"}, + assistant_turn, + {"role": "system", "content": "Now restate it in French.", "type": "message"}, + ) + + +def test_responses_call_keeps_a_mid_conversation_system_item_in_place() -> None: + client: Final = _mock_http_client(_fireworks_response("accounts/fireworks/models/kimi-k3")) + with patch(HTTPX_CLIENT_FACTORY, return_value=client): + litellm.responses( + model="fireworks_ai/accounts/fireworks/models/kimi-k3", + input=[ # mutable-ok: the Responses API takes input as a JSON list + {"role": "user", "content": "Hi there"}, + {"role": "system", "content": "Switch to French."}, + {"role": "user", "content": "What is the capital of France?"}, + ], + api_key="fw-test-key", + ) + _, _, body = _sent_request(client) + assert "instructions" not in body + assert tuple(body["input"]) == ( + {"role": "user", "content": "Hi there"}, + {"role": "system", "content": "Switch to French."}, + {"role": "user", "content": "What is the capital of France?"}, + ) + + +def test_responses_call_keeps_a_developer_item_with_non_text_parts_in_place_as_a_system_item() -> None: + client: Final = _mock_http_client(_fireworks_response("accounts/fireworks/models/qwen3p8-2p4t-a95b")) + developer_item: Final = { + "role": "developer", + "content": [ + {"type": "input_text", "text": "Match the style of this reference image."}, + {"type": "input_image", "image_url": "data:image/png;base64,iVBORw0KGgo=", "detail": "auto"}, + ], + } + with patch(HTTPX_CLIENT_FACTORY, return_value=client): + litellm.responses( + model="fireworks_ai/accounts/fireworks/models/qwen3p8-2p4t-a95b", + instructions="Answer with one word.", + input=[developer_item, {"role": "user", "content": "What is the capital of France?"}], # mutable-ok: JSON list + store=False, + api_key="fw-test-key", + ) + _, _, body = _sent_request(client) + assert body["instructions"] == "Answer with one word." + assert tuple(body["input"]) == ( + {"role": "system", "content": developer_item["content"], "type": "message"}, + {"role": "user", "content": "What is the capital of France?"}, + ) + + +def test_responses_call_forwards_string_input_and_instructions_unchanged() -> None: + client: Final = _mock_http_client(_fireworks_response("accounts/fireworks/models/kimi-k3")) + with patch(HTTPX_CLIENT_FACTORY, return_value=client): + litellm.responses( + model="fireworks_ai/accounts/fireworks/models/kimi-k3", + instructions="Answer with exactly one word.", + input="What is the capital of France?", + api_key="fw-test-key", + ) + _, _, body = _sent_request(client) + assert body["instructions"] == "Answer with exactly one word." + assert body["input"] == "What is the capital of France?" + + +def test_transform_request_forwards_non_string_instructions_and_input_untouched() -> None: + developer_item: Final = {"role": "developer", "content": "Answer with exactly one word."} + user_item: Final = {"role": "user", "content": "What is the capital of France?"} + request: Final = FireworksAIResponsesAPIConfig().transform_responses_api_request( + model="accounts/fireworks/models/kimi-k3", + input=cast(ResponseInputParam, [developer_item, user_item]), # mutable-ok: JSON list + response_api_optional_request_params={"instructions": ["not", "a", "string"]}, # mutable-ok: base takes a dict + litellm_params=GenericLiteLLMParams(), + headers={}, # mutable-ok: base takes a dict + ) + assert request["instructions"] == ["not", "a", "string"] + assert tuple(request["input"]) == ( + {"role": "system", "content": "Answer with exactly one word.", "type": "message"}, + user_item, + ) + + def test_responses_call_maps_pydantic_developer_items_and_replays_pydantic_output_items() -> None: client: Final = _mock_http_client(_fireworks_response("accounts/fireworks/models/kimi-k3")) pydantic_input: Final = cast( @@ -205,8 +375,8 @@ def test_responses_call_maps_pydantic_developer_items_and_replays_pydantic_outpu model="fireworks_ai/accounts/fireworks/models/kimi-k3", input=pydantic_input, api_key="fw-test-key" ) _, _, body = _sent_request(client) + assert body["instructions"] == "Answer with exactly one word." assert tuple(body["input"]) == ( - {"role": "system", "content": "Answer with exactly one word.", "type": "message"}, {"id": "rs_1", "summary": [], "type": "reasoning"}, { "id": "fc_1", diff --git a/tests/test_litellm/llms/mongodb/vector_stores/test_mongodb_transformation.py b/tests/test_litellm/llms/mongodb/vector_stores/test_mongodb_transformation.py index f5d31c0da54..9de473fb1f0 100644 --- a/tests/test_litellm/llms/mongodb/vector_stores/test_mongodb_transformation.py +++ b/tests/test_litellm/llms/mongodb/vector_stores/test_mongodb_transformation.py @@ -1,1537 +1,222 @@ -import asyncio -import gc -import sys -import threading -import weakref -from types import SimpleNamespace -from unittest.mock import MagicMock, patch +import json +from collections.abc import Mapping +from typing import Final +from unittest.mock import MagicMock import httpx import pytest import litellm -from litellm.exceptions import BadRequestError, ServiceUnavailableError, Timeout -from litellm.llms.mongodb.common_utils import ( - _MAX_CACHED_CLIENTS, - _async_clients, - _sync_clients, - MongoClientKey, - index_not_ready_error, - missing_index_error, - get_async_client, - get_sync_client, - reset_client_cache, - translate_mongo_error, -) -from litellm.llms.mongodb.vector_stores.transformation import ( - MongoDBVectorStoreConfig, - _MongoDBSearchParams, -) -from litellm.types.utils import LlmProviders -from litellm.utils import ProviderConfigManager +from litellm.llms.custom_httpx.http_handler import AsyncHTTPHandler, HTTPHandler +from litellm.llms.mongodb.vector_stores.transformation import MongoDBVectorStoreConfig +from litellm.types.utils import EmbeddingResponse +from litellm.types.vector_stores import VectorStoreSearchOptionalRequestParams, VectorStoreSearchResponse -CONNECTION_STRING = "mongodb+srv://user:pw@cluster.example.mongodb.net" -INDEX = "movies_vector_index" - -BASE_PARAMS = { - "litellm_embedding_model": "openai/text-embedding-ada-002", - "mongodb_connection_string": CONNECTION_STRING, - "mongodb_database": "sample_mflix", - "mongodb_collection": "embedded_movies", +BASE_PARAMS: Final = { + "api_base": "https://sidecar.example/prefix", + "api_key": "test-sidecar-key", + "litellm_embedding_model": "embedding-alias", + "mongodb_database": "policies", + "mongodb_collection": "documents", +} +RESULT: Final = { + "object": "vector_store.search_results.page", + "search_query": "travel policy", + "data": [ + {"score": 0.9, "file_id": "123", "filename": "123", "content": [{"type": "text", "text": "Use code BLUE-42"}]} + ], } -READY_INDEX = [{"name": INDEX, "status": "READY", "queryable": True}] +class RecordingEmbeddingExecutor: + def __init__(self) -> None: + self.call: Final = MagicMock(return_value=EmbeddingResponse(data=[{"embedding": [0.1, 0.2, 0.3]}])) + + def embed(self, model: str, query: str, configuration: Mapping[str, object]) -> EmbeddingResponse: + return self.call(model, query, configuration) + + async def aembed(self, model: str, query: str, configuration: Mapping[str, object]) -> EmbeddingResponse: + return self.call(model, query, configuration) -class RecordingClient: - """Stands in for pymongo's client class so the cache tests inject a fake rather than - patching the importer, and so they can assert what the client was actually built with.""" - - def __init__(self, connection_string, **kwargs): - self.connection_string = connection_string - self.kwargs = kwargs - - -class FakeCollection: - def __init__(self, documents, error=None, search_indexes=None): - self.documents = documents - self.error = error - self.search_indexes = READY_INDEX if search_indexes is None else search_indexes - self.pipeline = None - self.listed_indexes = [] - - def aggregate(self, pipeline): - self.pipeline = pipeline - if self.error is not None: - raise self.error - return iter(self.documents) - - def list_search_indexes(self, name): - self.listed_indexes.append(name) - return iter(self.search_indexes) - - -class FakeAsyncCollection(FakeCollection): - async def aggregate(self, pipeline): - self.pipeline = pipeline - if self.error is not None: - raise self.error - - async def cursor(): - for document in self.documents: - yield document - - return cursor() - - async def list_search_indexes(self, name): - self.listed_indexes.append(name) - - async def cursor(): - for entry in self.search_indexes: - yield entry - - return cursor() - - -class FakeDatabase: - def __init__(self, collection): - self.collection = collection - self.requested_collection = None - - def __getitem__(self, name): - self.requested_collection = name - return self.collection - - -class FakeClient: - def __init__(self, collection): - self.database = FakeDatabase(collection) - self.requested_database = None - - def __getitem__(self, name): - self.requested_database = name - return self.database - - -class FakeEmbeddingExecutor: - def __init__(self, embedding): - self.embedding = embedding - self.captured = None - - def _respond(self, model, query, configuration): - self.captured = SimpleNamespace(model=model, query=query, configuration=configuration) - return SimpleNamespace(data=[{"embedding": self.embedding}] if self.embedding is not None else []) - - def embed(self, model, query, configuration): - return self._respond(model, query, configuration) - - async def aembed(self, model, query, configuration): - return self._respond(model, query, configuration) - - -def _config(documents=(), embedding=(0.1, 0.2, 0.3), error=None, search_indexes=None): - collection = FakeCollection(list(documents), error, search_indexes) - client = FakeClient(collection) - config = MongoDBVectorStoreConfig( - embedding_executor=FakeEmbeddingExecutor(list(embedding) if embedding is not None else None), - sync_client_factory=lambda key: client, - ) - return config, client, collection - - -def _async_config(documents=(), embedding=(0.1, 0.2, 0.3), error=None, search_indexes=None): - collection = FakeAsyncCollection(list(documents), error, search_indexes) - client = FakeClient(collection) - config = MongoDBVectorStoreConfig( - embedding_executor=FakeEmbeddingExecutor(list(embedding) if embedding is not None else None), - async_client_factory=lambda key: client, - ) - return config, client, collection - - -def _search(config, query="a lone astronaut", optional_params=None, litellm_params=None, timeout=None): - return config.execute_search_vector_store_request( - vector_store_id=INDEX, - query=query, - vector_store_search_optional_params=optional_params or {}, - litellm_logging_obj=MagicMock(), - litellm_params={**BASE_PARAMS, **(litellm_params or {})}, - timeout=timeout, - ) - - -async def _asearch(config, query="a lone astronaut", optional_params=None, litellm_params=None): - return await config.aexecute_search_vector_store_request( - vector_store_id=INDEX, - query=query, - vector_store_search_optional_params=optional_params or {}, - litellm_logging_obj=MagicMock(), - litellm_params={**BASE_PARAMS, **(litellm_params or {})}, - ) - - -def _stage(collection, name): - return next(stage[name] for stage in collection.pipeline if name in stage) - - -def test_search_builds_vector_search_stage_against_the_named_index(): - config, client, collection = _config() - - _search(config, optional_params={"max_num_results": 5}) - - assert client.requested_database == "sample_mflix" - assert client.database.requested_collection == "embedded_movies" - assert _stage(collection, "$vectorSearch") == { - "index": INDEX, - "path": "embedding", - "queryVector": (0.1, 0.2, 0.3), - "numCandidates": 100, - "limit": 5, +@pytest.mark.parametrize("asynchronous", [False, True]) +@pytest.mark.parametrize("limit,candidates", [(None, 100), (1, 100), (50, 500)]) +@pytest.mark.asyncio +async def test_search_preserves_embedding_and_http_contract( + asynchronous: bool, limit: int | None, candidates: int +) -> None: + executor: Final = RecordingEmbeddingExecutor() + config: Final = MongoDBVectorStoreConfig(executor) + params: Final = { + **BASE_PARAMS, + "mongodb_text_field": "metadata.body", + "mongodb_embedding_field": "stored_vector", + "litellm_embedding_config": {"dimensions": 3}, + "timeout": 0.75, } - - -def test_the_pipeline_reaches_pymongo_as_a_list(): - """pymongo's common.validate_list rejects any other sequence with - 'pipeline must be a list, not ', so the outer container is part of the contract.""" - config, _, collection = _config() - - _search(config) - - assert isinstance(collection.pipeline, list) - - -def test_search_projects_the_text_field_and_the_similarity_score(): - config, _, collection = _config() - - _search(config) - - assert _stage(collection, "$project") == {"text": 1, "score": {"$meta": "vectorSearchScore"}} - - -def test_search_defaults_to_ten_results(): - config, _, collection = _config() - - _search(config) - - assert _stage(collection, "$vectorSearch")["limit"] == 10 - - -def test_search_honors_custom_field_names(): - config, _, collection = _config() - - _search( - config, - litellm_params={"mongodb_embedding_field": "plot_embedding", "mongodb_text_field": "plot"}, - ) - - assert _stage(collection, "$vectorSearch")["path"] == "plot_embedding" - assert _stage(collection, "$project") == {"plot": 1, "score": {"$meta": "vectorSearchScore"}} - - -def test_num_candidates_scales_with_the_requested_limit(): - config, _, collection = _config() - - _search(config, optional_params={"max_num_results": 40}) - - assert _stage(collection, "$vectorSearch")["numCandidates"] == 400 - - -def test_num_candidates_can_be_overridden(): - config, _, collection = _config() - - _search(config, optional_params={"max_num_results": 5}, litellm_params={"mongodb_num_candidates": 250}) - - assert _stage(collection, "$vectorSearch")["numCandidates"] == 250 - - -@pytest.mark.parametrize("configured", [4, 10_001]) -def test_num_candidates_below_the_limit_or_above_the_ceiling_is_rejected(configured): - config, _, _ = _config() - - with pytest.raises(BadRequestError, match="mongodb_num_candidates"): - _search(config, optional_params={"max_num_results": 5}, litellm_params={"mongodb_num_candidates": configured}) - - -def test_list_query_is_joined_into_one_embedding_input(): - config, _, _ = _config() - - _search(config, query=["deep", "space", "rescue"]) - - assert config.embedding_executor.captured.query == "deep space rescue" - - -def test_embedding_config_is_expanded_into_the_embedding_call(): - config, _, _ = _config() - - _search(config, litellm_params={"litellm_embedding_config": {"api_base": "https://example.test", "timeout": 7}}) - - captured = config.embedding_executor.captured - assert captured.configuration == {"api_base": "https://example.test", "timeout": 7} - assert captured.model == "openai/text-embedding-ada-002" - - -def test_response_maps_documents_to_openai_shaped_results(): - documents = [ - {"_id": "abc123", "text": "an astronaut adrift", "score": 0.94}, - {"_id": "def456", "text": "a robot dog", "score": 0.81}, - ] - config, _, _ = _config(documents=documents) - - response = _search(config) - - assert response["object"] == "vector_store.search_results.page" - assert response["search_query"] == "a lone astronaut" - assert [result["score"] for result in response["data"]] == [0.94, 0.81] - assert [result["content"][0]["text"] for result in response["data"]] == ["an astronaut adrift", "a robot dog"] - assert [result["file_id"] for result in response["data"]] == ["abc123", "def456"] - assert [result["filename"] for result in response["data"]] == ["abc123", "def456"] - assert response["data"][0]["content"][0]["type"] == "text" - - -def test_response_reads_a_dotted_text_field_path(): - config, _, _ = _config(documents=[{"_id": 1, "metadata": {"body": "nested text"}, "score": 0.5}]) - - response = _search(config, litellm_params={"mongodb_text_field": "metadata.body"}) - - assert response["data"][0]["content"][0]["text"] == "nested text" - - -def test_a_dotted_path_resolves_three_levels_deep(): - config, _, _ = _config(documents=[{"_id": 1, "a": {"b": {"c": "deep text"}}, "score": 0.5}]) - - response = _search(config, litellm_params={"mongodb_text_field": "a.b.c"}) - - assert response["data"][0]["content"][0]["text"] == "deep text" - - -def test_a_dotted_path_that_runs_through_a_scalar_counts_as_absent(): - """Walking 'plot.nope' when plot is a string must report the misconfiguration, not - stringify the scalar and hand the model text from the wrong field.""" - config, _, _ = _config(documents=[{"_id": 1, "plot": "a plain string", "score": 0.5}]) - - with pytest.raises(BadRequestError, match=r"has a 'plot\.nope' field"): - _search(config, litellm_params={"mongodb_text_field": "plot.nope"}) - - -def test_a_non_string_text_field_is_stringified(): - config, _, _ = _config(documents=[{"_id": 1, "year": 1979, "score": 0.5}]) - - response = _search(config, litellm_params={"mongodb_text_field": "year"}) - - assert response["data"][0]["content"][0]["text"] == "1979" - - -def test_a_null_text_field_counts_as_absent(): - config, _, _ = _config(documents=[{"_id": 1, "text": None, "score": 0.5}]) - - with pytest.raises(BadRequestError, match="has a 'text' field"): - _search(config) - - -def test_response_tolerates_a_sparse_document_missing_the_text_field(): - config, _, _ = _config(documents=[{"_id": 1, "score": 0.5}, {"_id": 2, "text": "has text", "score": 0.4}]) - - response = _search(config) - - assert response["data"][0]["content"][0]["text"] == "" - assert response["data"][1]["content"][0]["text"] == "has text" - - -def test_a_present_but_empty_text_field_is_not_treated_as_a_misconfiguration(): - config, _, _ = _config(documents=[{"_id": 1, "text": "", "score": 0.5}]) - - response = _search(config) - - assert response["data"][0]["content"][0]["text"] == "" - - -def test_matches_that_all_lack_the_text_field_name_the_setting_to_fix(): - """Atlas matches on the vector, so a mistyped mongodb_text_field returns confidently - scored results whose content is empty and hands the model an empty context.""" - config, _, _ = _config(documents=[{"_id": 1, "score": 0.9}, {"_id": 2, "score": 0.8}]) - - with pytest.raises(BadRequestError, match="mongodb_text_field"): - _search(config) - - -def test_response_tolerates_a_document_missing_a_score(): - config, _, _ = _config(documents=[{"_id": 1, "text": "no score"}]) - - response = _search(config) - - assert response["data"][0]["score"] is None - - -def test_response_stringifies_a_non_string_document_id(): - config, _, _ = _config(documents=[{"_id": 12345, "text": "numeric id", "score": 0.5}]) - - response = _search(config) - - assert response["data"][0]["file_id"] == "12345" - - -def test_search_requires_an_embedding_model(): - config, _, _ = _config() - - with pytest.raises(BadRequestError, match="litellm_embedding_model is required"): - config.execute_search_vector_store_request( - vector_store_id=INDEX, - query="q", - vector_store_search_optional_params={}, + kwargs: Final = { + "vector_store_id": "exact index", + "query": ["travel", "policy"], + "vector_store_search_optional_params": {"max_num_results": limit}, + "api_base": BASE_PARAMS["api_base"], + "litellm_logging_obj": MagicMock(), + "litellm_params": params, + } + if asynchronous: + url, body = await config.atransform_search_vector_store_request(**kwargs) + else: + url, body = config.transform_search_vector_store_request(**kwargs) + assert url == "https://sidecar.example/prefix/v1/vector_stores/exact%20index/search" + assert body == { + "query": "travel policy", + "query_vector": (0.1, 0.2, 0.3), + "mongodb_database": "policies", + "mongodb_collection": "documents", + "mongodb_text_field": "metadata.body", + "mongodb_embedding_field": "stored_vector", + "mongodb_num_candidates": candidates, + "max_num_results": limit or 10, + "timeout_ms": 750, + } + executor.call.assert_called_once_with("embedding-alias", "travel policy", {"dimensions": 3}) + assert config.transform_search_vector_store_response(httpx.Response(200, json=RESULT), MagicMock()) == RESULT + + +@pytest.mark.parametrize( + "query,overrides,options", + [ + ("", {}, {}), + (" ", {}, {}), + ("x" * 32_001, {}, {}), + ("travel", {"litellm_embedding_model": None}, {}), + ("travel", {"mongodb_database": None}, {}), + ("travel", {"mongodb_collection": None}, {}), + ("travel", {"mongodb_connection_string": "mongodb://obsolete-secret"}, {}), + ("travel", {"mongodb_filter": {"private": True}}, {}), + ("travel", {"mongodb_num_candidates": 9}, {}), + ("travel", {"mongodb_num_candidates": 10_001}, {}), + ("travel", {}, {"max_num_results": 0}), + ("travel", {}, {"max_num_results": 51}), + ("travel", {}, {"filters": {}}), + ("travel", {}, {"ranking_options": {}}), + ("travel", {}, {"rewrite_query": False}), + ], +) +def test_invalid_search_is_rejected_before_embedding( + query: str, overrides: Mapping[str, object], options: VectorStoreSearchOptionalRequestParams +) -> None: + executor: Final = RecordingEmbeddingExecutor() + config: Final = MongoDBVectorStoreConfig(executor) + with pytest.raises(litellm.BadRequestError) as error: + config.transform_search_vector_store_request( + vector_store_id="policy_index", + query=query, + vector_store_search_optional_params=options, + api_base=BASE_PARAMS["api_base"], litellm_logging_obj=MagicMock(), - litellm_params={k: v for k, v in BASE_PARAMS.items() if k != "litellm_embedding_model"}, + litellm_params={**BASE_PARAMS, **overrides}, ) + assert "obsolete-secret" not in str(error.value) + executor.call.assert_not_called() -def test_missing_embedding_model_message_names_the_field_being_searched(): - config, _, _ = _config() - - with pytest.raises(BadRequestError, match=r"embedded_movies\.embedding"): - config.execute_search_vector_store_request( - vector_store_id=INDEX, - query="q", - vector_store_search_optional_params={}, - litellm_logging_obj=MagicMock(), - litellm_params={k: v for k, v in BASE_PARAMS.items() if k != "litellm_embedding_model"}, - ) - - -def test_search_requires_a_connection_string(): - config, _, _ = _config() - - with pytest.raises(BadRequestError, match="mongodb_connection_string is required"): - _search(config, litellm_params={"mongodb_connection_string": None}) - - -@pytest.mark.parametrize("connection_string", ["postgres://host/db", "https://cluster.mongodb.net", "redis://host"]) -def test_search_rejects_a_non_mongodb_connection_scheme(connection_string): - config, _, _ = _config() - - with pytest.raises(BadRequestError, match="must start with 'mongodb://' or 'mongodb\\+srv://'"): - _search(config, litellm_params={"mongodb_connection_string": connection_string}) - - -def test_search_accepts_the_plain_mongodb_scheme(): - config, _, collection = _config() - - _search(config, litellm_params={"mongodb_connection_string": "mongodb://localhost:27017"}) - - assert collection.pipeline is not None - - -def test_search_requires_a_database(): - config, _, _ = _config() - - with pytest.raises(BadRequestError, match="mongodb_database is required"): - _search(config, litellm_params={"mongodb_database": None}) - - -def test_search_requires_a_collection(): - config, _, _ = _config() - - with pytest.raises(BadRequestError, match="mongodb_collection is required"): - _search(config, litellm_params={"mongodb_collection": None}) - - -def test_search_rejects_filters_rather_than_silently_ignoring_them(): - config, _, _ = _config() - - with pytest.raises(BadRequestError, match="does not support the filters parameter"): - _search(config, optional_params={"filters": {"genre": "sci-fi"}}) - - +@pytest.mark.parametrize( + "status,body,error_type", + [ + (400, {"error": {"message": "Index is not queryable"}}, litellm.BadRequestError), + (401, {}, litellm.AuthenticationError), + (408, {}, litellm.Timeout), + (503, {}, litellm.ServiceUnavailableError), + (200, {}, litellm.ServiceUnavailableError), + (200, {**RESULT, "data": [{"score": "wrong"}]}, litellm.ServiceUnavailableError), + (0, {}, litellm.Timeout), + (-1, {}, litellm.BadRequestError), + (-2, {"api_base": "http://sidecar.example"}, litellm.BadRequestError), + (-2, {"api_base": "http://10.0.0.10:8080"}, litellm.BadRequestError), + (-2, {"api_base": "http://localhost:8080"}, litellm.BadRequestError), + (200, RESULT, None), + ], +) +@pytest.mark.parametrize("asynchronous", [False, True]) +@pytest.mark.parametrize("timeout", [0.75, 120.0]) +@pytest.mark.parametrize("api_base", ["https://sidecar.example/prefix", "http://127.0.0.1:8080", "http://[::1]:8080"]) @pytest.mark.asyncio -async def test_async_search_rejects_filters_rather_than_silently_ignoring_them(): - config, _, _ = _async_config() - - with pytest.raises(BadRequestError, match="does not support the filters parameter"): - await _asearch(config, optional_params={"filters": {"genre": "sci-fi"}}) - - -def test_search_rejects_ranking_options_rather_than_silently_ignoring_them(): - """A score_threshold that is quietly dropped is worse than an error: the caller asked for - results above 0.9, gets results scoring 0.5, and nothing says the threshold never ran.""" - config, _, _ = _config() - - with pytest.raises(BadRequestError, match="does not support the ranking_options parameter"): - _search(config, optional_params={"ranking_options": {"score_threshold": 0.9}}) - - -def test_search_rejects_rewrite_query_rather_than_silently_ignoring_it(): - config, _, _ = _config() - - with pytest.raises(BadRequestError, match="does not support the rewrite_query parameter"): - _search(config, optional_params={"rewrite_query": True}) - - -@pytest.mark.asyncio -async def test_async_search_rejects_ranking_options_rather_than_silently_ignoring_them(): - config, _, _ = _async_config() - - with pytest.raises(BadRequestError, match="does not support the ranking_options parameter"): - await _asearch(config, optional_params={"ranking_options": {"score_threshold": 0.9}}) - - -@pytest.mark.parametrize("query", ["", " ", "\n\t", []]) -def test_search_rejects_an_empty_query(query): - config, _, _ = _config() - - with pytest.raises(BadRequestError, match="query must not be empty"): - _search(config, query=query) - - -def test_search_rejects_an_oversized_query(): - config, _, _ = _config() - - with pytest.raises(BadRequestError, match="at most 32000 characters"): - _search(config, query="x" * 32_001) - - -def test_search_accepts_a_query_at_the_size_ceiling(): - config, _, collection = _config() - - _search(config, query="x" * 32_000) - - assert collection.pipeline is not None - - -@pytest.mark.parametrize("max_num_results", [0, -1, 51, 1000]) -def test_search_rejects_out_of_range_max_num_results(max_num_results): - config, _, _ = _config() - - with pytest.raises(BadRequestError, match="max_num_results must be between 1 and 50"): - _search(config, optional_params={"max_num_results": max_num_results}) - - -@pytest.mark.parametrize("max_num_results", [1, 50]) -def test_search_allows_max_num_results_at_the_bounds(max_num_results): - config, _, collection = _config() - - _search(config, optional_params={"max_num_results": max_num_results}) - - assert _stage(collection, "$vectorSearch")["limit"] == max_num_results - - -def test_search_treats_an_explicit_null_max_num_results_as_the_default(): - config, _, collection = _config() - - _search(config, optional_params={"max_num_results": None}) - - assert _stage(collection, "$vectorSearch")["limit"] == 10 - - -def test_search_fails_when_the_embedding_model_returns_nothing(): - config, _, _ = _config(embedding=None) - - with pytest.raises(BadRequestError, match="returned no embedding"): - _search(config) - - -def test_validation_runs_before_any_connection_is_opened(): - opened = [] - config = MongoDBVectorStoreConfig( - embedding_executor=FakeEmbeddingExecutor([0.1]), - sync_client_factory=lambda key: opened.append(key) or FakeClient(FakeCollection([])), - ) - - with pytest.raises(BadRequestError, match="query must not be empty"): - _search(config, query="") - - assert opened == [] - - -def test_create_vector_store_is_not_supported_and_says_why(): - """litellm.exception_type only passes its own exception types through untouched, so a - NotImplementedError here reaches the caller as APIConnectionError, which the proxy serves - as a 500 with a traceback. Refusing an unsupported operation is a client error.""" - config = MongoDBVectorStoreConfig() - - with pytest.raises(BadRequestError, match="search-only"): - config.transform_create_vector_store_request({}, "https://example.test") - - with pytest.raises(BadRequestError, match="search-only"): - config.transform_create_vector_store_response(httpx.Response(200)) - - -def test_the_create_refusal_survives_the_public_sdk_error_wrapper(): - import litellm - - with pytest.raises(BadRequestError) as raised: - litellm.vector_stores.create(custom_llm_provider="mongodb", name="anything") - - assert "search-only" in str(raised.value) - - -def test_provider_config_manager_returns_the_mongodb_config(): - config = ProviderConfigManager.get_provider_vector_stores_config(LlmProviders.MONGODB) - - assert isinstance(config, MongoDBVectorStoreConfig) - - -@pytest.mark.asyncio -async def test_async_search_builds_the_same_pipeline_and_maps_the_response(): - documents = [{"_id": "abc123", "text": "an astronaut adrift", "score": 0.94}] - config, client, collection = _async_config(documents=documents) - - response = await _asearch(config, optional_params={"max_num_results": 3}) - - assert client.requested_database == "sample_mflix" - assert client.database.requested_collection == "embedded_movies" - assert _stage(collection, "$vectorSearch")["limit"] == 3 - assert _stage(collection, "$vectorSearch")["queryVector"] == (0.1, 0.2, 0.3) - assert response["data"][0]["content"][0]["text"] == "an astronaut adrift" - assert response["data"][0]["score"] == 0.94 - - -@pytest.mark.asyncio -async def test_async_search_requires_an_embedding_model(): - config, _, _ = _async_config() - - with pytest.raises(BadRequestError, match="litellm_embedding_model is required"): - await config.aexecute_search_vector_store_request( - vector_store_id=INDEX, - query="q", - vector_store_search_optional_params={}, - litellm_logging_obj=MagicMock(), - litellm_params={k: v for k, v in BASE_PARAMS.items() if k != "litellm_embedding_model"}, - ) - - -class TestClientCache: - def setup_method(self): - reset_client_cache() - - def teardown_method(self): - reset_client_cache() - - def _key(self, connection_string=CONNECTION_STRING, socket_timeout_ms=30_000): - return MongoClientKey( - connection_string=connection_string, - connect_timeout_ms=10_000, - socket_timeout_ms=socket_timeout_ms, - server_selection_timeout_ms=10_000, - ) - - def test_the_same_connection_reuses_one_client(self): - first = get_sync_client(self._key(), RecordingClient) - second = get_sync_client(self._key(), RecordingClient) - - assert first is second - assert first.connection_string == CONNECTION_STRING - assert first.kwargs["socketTimeoutMS"] == 30_000 - assert first.kwargs["connectTimeoutMS"] == 10_000 - assert first.kwargs["appname"] == "litellm" - - def test_a_different_connection_gets_its_own_client(self): - first = get_sync_client(self._key(), RecordingClient) - second = get_sync_client(self._key(connection_string="mongodb://other.example.test"), RecordingClient) - - assert first is not second - assert second.connection_string == "mongodb://other.example.test" - - def test_a_different_timeout_gets_its_own_client(self): - first = get_sync_client(self._key(), RecordingClient) - second = get_sync_client(self._key(socket_timeout_ms=5_000), RecordingClient) - - assert first is not second - assert second.kwargs["socketTimeoutMS"] == 5_000 - - @pytest.mark.asyncio - async def test_async_clients_are_cached_per_event_loop(self): - first = get_async_client(self._key(), RecordingClient) - second = get_async_client(self._key(), RecordingClient) - - assert first is second - assert first.connection_string == CONNECTION_STRING - - - def _fill_cache(self): - for slot in range(_MAX_CACHED_CLIENTS): - get_sync_client(self._key(f"mongodb://cold-{slot}:27017"), RecordingClient) - - def test_a_store_added_after_the_cache_filled_is_still_cached(self): - """Rebuilding a client costs an SRV lookup, a TLS handshake and topology discovery, so a - store that misses the cache on every single search pays that on every search.""" - self._fill_cache() - latecomer = self._key("mongodb://latecomer:27017") - - first = get_sync_client(latecomer, RecordingClient) - - assert get_sync_client(latecomer, RecordingClient) is first - - def test_the_cache_evicts_the_least_recently_used_client(self): - self._fill_cache() - oldest = self._key("mongodb://cold-0:27017") - newest = self._key(f"mongodb://cold-{_MAX_CACHED_CLIENTS - 1}:27017") - kept = get_sync_client(newest, RecordingClient) - - get_sync_client(self._key("mongodb://latecomer:27017"), RecordingClient) - - assert get_sync_client(newest, RecordingClient) is kept - assert oldest not in _sync_clients - - def test_concurrent_searches_never_trip_over_an_eviction(self): - """Async searches run the sync client through executor threads, so a key can be evicted - between the lookup and the reordering that follows it.""" - errors = [] - churn = _MAX_CACHED_CLIENTS + 2 - - def hammer(offset): - try: - for step in range(3_000): - get_sync_client(self._key(f"mongodb://h-{(step + offset) % churn}:27017"), RecordingClient) - except Exception as e: - errors.append(repr(e)) - - previous = sys.getswitchinterval() - sys.setswitchinterval(1e-9) - try: - threads = [threading.Thread(target=hammer, args=(offset,)) for offset in range(16)] - for thread in threads: - thread.start() - for thread in threads: - thread.join() - finally: - sys.setswitchinterval(previous) - - assert errors == [] - - def test_the_cache_never_grows_past_its_cap(self): - for slot in range(_MAX_CACHED_CLIENTS * 3): - get_sync_client(self._key(f"mongodb://host-{slot}:27017"), RecordingClient) - - assert len(_sync_clients) == _MAX_CACHED_CLIENTS - - def test_a_new_loop_never_inherits_a_closed_loop_client(self): - """CPython recycles id() so aggressively that a fresh event loop almost always lands on - the id of one already collected: measured at 37 of 40 rounds. Keying the cache on the id - alone therefore hands the new loop an AsyncMongoClient bound to a closed loop, and every - operation on it raises "Event loop is closed".""" - - class LoopAgnosticClient: - """Holds no reference to the loop, unlike pymongo's, whose own reference happens to - keep ids from being recycled and hides the bug until the cache fills.""" - - def __init__(self, *args, **kwargs): - self.built_on = None - - key = self._key() - clients_handed_out = [] - - async def fetch(): - return get_async_client(key, LoopAgnosticClient) - - for _ in range(20): - loop = asyncio.new_event_loop() - client = loop.run_until_complete(fetch()) - clients_handed_out.append((client, client.built_on, loop.is_closed())) - client.built_on = weakref.ref(loop) - loop.close() - del loop - gc.collect() - - stale = [ - handed_out - for client, built_on, _ in clients_handed_out - if built_on is not None and (built_on() is None or built_on().is_closed()) - for handed_out in (client,) - ] - assert stale == [], f"{len(stale)} of 20 loops were handed a client built on a closed loop" - - def test_the_cache_releases_clients_built_on_closed_loops(self): - """pymongo's AsyncMongoClient keeps a reference to the loop it was built on, so an entry - for a closed loop holds that client, and its sockets, for the life of the process. A - script calling asyncio.run per search fills the cache to its cap that way: measured live - against Atlas at 32 pinned clients and 212 open descriptors after 40 loops.""" - - class LoopHoldingClient: - def __init__(self, *args, **kwargs): - self.loop = asyncio.get_running_loop() - - key = self._key() - - async def fetch(): - return get_async_client(key, LoopHoldingClient) - - for _ in range(_MAX_CACHED_CLIENTS + 8): - loop = asyncio.new_event_loop() - loop.run_until_complete(fetch()) - loop.close() - - assert len(_async_clients) == 1, f"{len(_async_clients)} closed-loop clients are still cached" - - -class TestClientKeyDerivation: - def test_no_timeout_uses_the_bounded_defaults(self): - key = MongoDBVectorStoreConfig._client_key(_MongoDBSearchParams.model_validate(BASE_PARAMS), None) - - assert key.connect_timeout_ms == 10_000 - assert key.socket_timeout_ms == 30_000 - assert key.server_selection_timeout_ms == 10_000 - - def test_a_numeric_timeout_bounds_the_connect_phase(self): - key = MongoDBVectorStoreConfig._client_key(_MongoDBSearchParams.model_validate(BASE_PARAMS), 3.0) - - assert key.socket_timeout_ms == 3_000 - assert key.connect_timeout_ms == 3_000 - - def test_a_short_timeout_also_shortens_server_selection(self): - """Server selection runs before the connect attempt, so leaving it at the 10s default - would let a caller asking for a 3s budget block for 10s before anything is tried.""" - key = MongoDBVectorStoreConfig._client_key(_MongoDBSearchParams.model_validate(BASE_PARAMS), 3.0) - - assert key.server_selection_timeout_ms == 3_000 - - def test_a_generous_timeout_does_not_raise_server_selection_above_the_default(self): - key = MongoDBVectorStoreConfig._client_key(_MongoDBSearchParams.model_validate(BASE_PARAMS), 120.0) - - assert key.socket_timeout_ms == 120_000 - assert key.server_selection_timeout_ms == 10_000 - - def test_an_httpx_timeout_maps_connect_and_read_separately(self): - key = MongoDBVectorStoreConfig._client_key( - _MongoDBSearchParams.model_validate(BASE_PARAMS), httpx.Timeout(connect=2.0, read=45.0, write=5.0, pool=5.0) - ) - - assert key.connect_timeout_ms == 2_000 - assert key.socket_timeout_ms == 45_000 - - -class TestErrorTranslation: - def _translate(self, error): - return translate_mongo_error(error, index_name=INDEX, database="sample_mflix", collection="embedded_movies") - - def test_server_selection_timeout_points_at_the_atlas_access_list(self): - from pymongo.errors import ServerSelectionTimeoutError - - translated = self._translate(ServerSelectionTimeoutError("no servers")) - - assert "IP access list" in str(translated) - assert "paused cluster" in str(translated) - - def test_authentication_failure_points_at_the_connection_string_credentials(self): - from pymongo.errors import OperationFailure - - translated = self._translate(OperationFailure("auth failed", code=18)) - - assert "rejected the credentials" in str(translated) - - def test_a_dropped_connection_stays_retryable(self): - """A replica set failover reaches the driver as AutoReconnect. litellm only retries 408, - 409, 429 and 5xx, so classifying it as a client error would turn one failover into a - permanently failed search.""" - from pymongo.errors import AutoReconnect - - translated = self._translate(AutoReconnect("connection closed")) - - assert litellm._should_retry(translated.status_code) - assert "dropped or refused" in str(translated) - - def test_a_dropped_connection_still_names_the_misconfigurations_behind_it(self): - """Atlas answers a URI with no credentials by closing the connection rather than failing - auth, so the retryable message still has to name that.""" - from pymongo.errors import AutoReconnect - - translated = self._translate(AutoReconnect("connection closed")) - - assert "no username and password" in str(translated) - assert "mongod is listening" in str(translated) - - def test_the_retryable_classification_survives_the_public_sdk_error_wrapper(self): - """litellm.exception_type only passes its own exception types through; anything else becomes - an APIConnectionError and a 500, which would drop the retryable classification.""" - from pymongo.errors import AutoReconnect - - translated = self._translate(AutoReconnect("connection closed")) - - wrapped = litellm.exception_type( - model=None, - original_exception=translated, - custom_llm_provider="mongodb", - completion_kwargs={}, - extra_kwargs={}, - ) - - assert isinstance(wrapped, ServiceUnavailableError) - assert litellm._should_retry(wrapped.status_code) - - def test_a_pool_wait_queue_timeout_stays_retryable(self): - from pymongo.errors import WaitQueueTimeoutError - - translated = self._translate(WaitQueueTimeoutError("timed out waiting for a connection")) - - assert litellm._should_retry(translated.status_code) - - def test_server_selection_timeout_still_wins_over_the_connection_branch(self): - from pymongo.errors import ServerSelectionTimeoutError - - translated = self._translate(ServerSelectionTimeoutError("no servers")) - - assert isinstance(translated, Timeout) - assert "dropped or refused" not in str(translated) - - def test_network_timeout_still_wins_over_the_connection_branch(self): - from pymongo.errors import NetworkTimeout - - translated = self._translate(NetworkTimeout("socket timed out")) - - assert isinstance(translated, Timeout) - assert "dropped or refused" not in str(translated) - - def test_an_unescaped_password_character_is_a_400_not_a_500(self): - """pymongo's URI parser raises a plain ValueError, not a PyMongoError, for an unusable port, - which is also what an unescaped ':' in a password produces. It must not be a 500.""" - translated = self._translate(ValueError("Port contains non-digit characters")) - - assert isinstance(translated, BadRequestError) - assert "percent-encoded" in str(translated) - - def test_unauthorized_points_at_the_database_user_permissions(self): - from pymongo.errors import OperationFailure - - translated = self._translate(OperationFailure("not authorized", code=13)) - - assert "sample_mflix.embedded_movies" in str(translated) - - def test_code_13_alone_is_enough_without_a_recognisable_message(self): - """The other unauthorized case carries "not authorized", which the message markers also - match, so it cannot tell whether the code is still being checked at all.""" - from pymongo.errors import OperationFailure - - translated = self._translate(OperationFailure("user lacks privileges on this namespace", code=13)) - - assert "rejected the credentials" in str(translated) - assert "sample_mflix.embedded_movies" in str(translated) - - def test_a_missing_index_names_the_index_and_the_collection(self): - from pymongo.errors import OperationFailure - - translated = self._translate(OperationFailure("Index not found for name movies_vector_index", code=27)) - - assert INDEX in str(translated) - assert "READY" in str(translated) - - def test_a_dimension_mismatch_points_at_the_embedding_model(self): - from pymongo.errors import OperationFailure - - translated = self._translate(OperationFailure("queryVector has 1536 dimensions, index expects 2048")) - - assert "litellm_embedding_model must be the same model" in str(translated) - - def test_an_unrecognised_operation_failure_still_names_the_target(self): - from pymongo.errors import OperationFailure - - translated = self._translate(OperationFailure("something else entirely")) - - assert "sample_mflix.embedded_movies" in str(translated) - assert INDEX in str(translated) - - def test_a_configuration_error_points_at_the_connection_string(self): - from pymongo.errors import ConfigurationError - - translated = self._translate(ConfigurationError("bad uri")) - - assert "not a usable MongoDB connection string" in str(translated) - - def test_a_non_driver_error_is_returned_unchanged(self): - original = RuntimeError("unrelated") - - assert self._translate(original) is original - - def test_search_surfaces_a_translated_driver_error(self): - from pymongo.errors import ServerSelectionTimeoutError - - config, _, _ = _config(error=ServerSelectionTimeoutError("no servers")) - - with pytest.raises(Timeout, match="IP access list"): - _search(config) - - @pytest.mark.asyncio - async def test_async_search_surfaces_a_translated_driver_error(self): - from pymongo.errors import OperationFailure - - config, _, _ = _async_config(error=OperationFailure("auth failed", code=18)) - - with pytest.raises(BadRequestError, match="rejected the credentials"): - await _asearch(config) - - -class TestMissingDriver: - def test_the_sync_import_names_the_extra_to_install(self): - from litellm.llms.mongodb.common_utils import import_sync_mongo_client - - with patch.dict(sys.modules, {"pymongo": None}): - with pytest.raises(BadRequestError, match=r"pip install litellm\[mongodb\]"): - import_sync_mongo_client() - - def test_the_async_import_names_the_extra_to_install(self): - from litellm.llms.mongodb.common_utils import import_async_mongo_client - - with patch.dict(sys.modules, {"pymongo": None}): - with pytest.raises(BadRequestError, match=r"pip install litellm\[mongodb\]"): - import_async_mongo_client() - - def test_error_translation_degrades_gracefully_without_the_driver(self): - original = RuntimeError("boom") - - with patch.dict(sys.modules, {"pymongo.errors": None}): - assert translate_mongo_error(original, INDEX, "db", "col") is original - - -class TestEmptyResultsAreDisambiguated: - """$vectorSearch returns zero documents for a missing database, collection or index just as it - does for a query that matched nothing, so an empty result set is checked against the index - catalogue before it is reported as 'no matches'.""" - - def test_a_missing_index_becomes_an_error_rather_than_an_empty_page(self): - config, _, collection = _config(documents=[], search_indexes=[]) - - with pytest.raises(BadRequestError, match="No queryable MongoDB Vector Search index"): - _search(config) - - assert collection.listed_indexes == [INDEX] - - def test_the_missing_index_error_explains_why_mongodb_reported_no_results(self): - config, _, _ = _config(documents=[], search_indexes=[]) - - with pytest.raises(BadRequestError, match="returns no results rather than an error"): - _search(config) - - def test_an_index_still_building_becomes_an_error_naming_its_status(self): - config, _, _ = _config( - documents=[], search_indexes=[{"name": INDEX, "status": "PENDING", "queryable": False}] - ) - - with pytest.raises(BadRequestError, match="not queryable yet; its status is PENDING"): - _search(config) - - def test_a_genuine_no_match_against_a_ready_index_returns_an_empty_page(self): - config, _, collection = _config(documents=[]) - - response = _search(config) - - assert response["data"] == [] - assert response["object"] == "vector_store.search_results.page" - assert collection.listed_indexes == [INDEX] - - def test_the_catalogue_is_not_consulted_when_the_search_returned_hits(self): - config, _, collection = _config(documents=[{"_id": 1, "text": "hit", "score": 0.9}]) - - _search(config) - - assert collection.listed_indexes == [] - - @pytest.mark.asyncio - async def test_async_missing_index_becomes_an_error_rather_than_an_empty_page(self): - config, _, collection = _async_config(documents=[], search_indexes=[]) - - with pytest.raises(BadRequestError, match="No queryable MongoDB Vector Search index"): - await _asearch(config) - - assert collection.listed_indexes == [INDEX] - - @pytest.mark.asyncio - async def test_async_index_still_building_becomes_an_error_naming_its_status(self): - config, _, _ = _async_config( - documents=[], search_indexes=[{"name": INDEX, "status": "PENDING", "queryable": False}] - ) - - with pytest.raises(BadRequestError, match="not queryable yet; its status is PENDING"): - await _asearch(config) - - @pytest.mark.asyncio - async def test_async_genuine_no_match_returns_an_empty_page(self): - config, _, _ = _async_config(documents=[]) - - response = await _asearch(config) - - assert response["data"] == [] - - @pytest.mark.asyncio - async def test_async_catalogue_is_not_consulted_when_the_search_returned_hits(self): - config, _, collection = _async_config(documents=[{"_id": 1, "text": "hit", "score": 0.9}]) - - await _asearch(config) - - assert collection.listed_indexes == [] - - def test_a_failure_while_checking_the_catalogue_is_translated_too(self): - from pymongo.errors import OperationFailure - - class ExplodingCollection(FakeCollection): - def list_search_indexes(self, name): - raise OperationFailure("not authorized", code=13) - - collection = ExplodingCollection([], None, []) - config = MongoDBVectorStoreConfig( - embedding_executor=FakeEmbeddingExecutor([0.1]), - sync_client_factory=lambda key: FakeClient(collection), - ) - - with pytest.raises(BadRequestError, match="lacks read access"): - _search(config) - - -class TestAtlasPlanExecutorErrors: - """Atlas reports a wrong vector path and a dimension mismatch through the same error code, so - each one has to be told apart by its message or both come back as a generic index failure.""" - - def _translate(self, message): - from pymongo.errors import OperationFailure - - return translate_mongo_error( - OperationFailure(message, code=8), - index_name=INDEX, - database="sample_mflix", - collection="embedded_movies", - ) - - def test_a_wrong_vector_path_points_at_the_embedding_field_setting(self): - translated = self._translate( - "PlanExecutor error during aggregation :: caused by :: nope is not indexed as vector" - ) - - assert "mongodb_embedding_field names a field" in str(translated) - - def test_a_dimension_mismatch_is_not_reported_as_a_wrong_path(self): - translated = self._translate( - "PlanExecutor error during aggregation :: caused by :: vector field is indexed with " - "1536 dimensions but queried with 3072" - ) - - assert "does not match the vector dimensions" in str(translated) - assert "mongodb_embedding_field" not in str(translated) - - -class TestErrorsCarryTheRightHttpStatus: - """litellm.exception_type passes a litellm exception through untouched but wraps anything - else into APIConnectionError, which the proxy serves as a 500 with a Python traceback in the - body. A misconfigured connection string is the caller's to fix, so it has to arrive as a 400. - """ - - @pytest.mark.parametrize( - "invoke", - [ - pytest.param(lambda: _search(_config()[0], query=" "), id="empty-query"), - pytest.param( - lambda: _search(_config()[0], optional_params={"max_num_results": 999}), - id="max-num-results-out-of-range", - ), - pytest.param( - lambda: _search(_config()[0], optional_params={"filters": {"genre": "Action"}}), - id="unsupported-filters", - ), - pytest.param( - lambda: _search(_config()[0], litellm_params={"mongodb_connection_string": "postgres://host/db"}), - id="wrong-uri-scheme", - ), - pytest.param( - lambda: _search(_config()[0], litellm_params={"mongodb_database": None}), id="missing-database" - ), - pytest.param( - lambda: _search(_config()[0], litellm_params={"litellm_embedding_model": None}), - id="missing-embedding-model", - ), - ], - ) - def test_configuration_failures_are_400(self, invoke): - with pytest.raises(BadRequestError) as excinfo: - invoke() - assert excinfo.value.status_code == 400 - assert excinfo.value.llm_provider == "mongodb" - - def test_missing_index_is_400(self): - error = missing_index_error("idx", "db", "coll") - assert error.status_code == 400 - assert error.llm_provider == "mongodb" - - def test_index_still_building_is_400(self): - error = index_not_ready_error("idx", "db", "coll", "PENDING") - assert error.status_code == 400 - - def test_unreachable_deployment_is_a_timeout_not_a_bad_request(self): - from pymongo.errors import ServerSelectionTimeoutError - - translated = translate_mongo_error( - ServerSelectionTimeoutError("no servers"), index_name="idx", database="db", collection="coll" - ) - assert isinstance(translated, Timeout) - assert translated.status_code == 408 - - def test_query_execution_timeout_is_a_timeout(self): - from pymongo.errors import ExecutionTimeout - - translated = translate_mongo_error( - ExecutionTimeout("too slow"), index_name="idx", database="db", collection="coll" - ) - assert isinstance(translated, Timeout) - assert translated.status_code == 408 - - def test_unrecognised_errors_are_not_relabelled_as_bad_requests(self): - original = RuntimeError("something else entirely") - assert ( - translate_mongo_error(original, index_name="idx", database="db", collection="coll") - is original - ) - - -def test_atlas_rejected_credentials_are_named_even_though_the_code_is_8000(): - """Atlas answers a wrong password with code 8000 "AtlasError", not the 18 that a - self-hosted deployment returns, so a code-only check reports it as a generic - rejected search and never tells the caller to look at their connection string.""" - from pymongo.errors import OperationFailure - - error = OperationFailure( - "bad auth : authentication failed", - code=8000, - details={"ok": 0, "errmsg": "bad auth : authentication failed", "code": 8000, "codeName": "AtlasError"}, - ) - translated = translate_mongo_error(error, index_name="idx", database="sample_mflix", collection="embedded_movies") - - assert isinstance(translated, BadRequestError) - assert "mongodb_connection_string" in str(translated) - assert "sample_mflix.embedded_movies" in str(translated) - - -def test_a_rejected_search_that_is_not_an_auth_failure_keeps_the_generic_message(): - from pymongo.errors import OperationFailure - - error = OperationFailure("PlanExecutor error", code=8, details={"errmsg": "PlanExecutor error"}) - translated = translate_mongo_error(error, index_name="idx", database="db", collection="coll") - - assert "mongodb_connection_string" not in str(translated) - - -class TestUnrecognisedParameters: - """litellm_params carries plenty of keys this provider does not own, so the params model has - to ignore extras. That turns a mistyped mongodb_collection into 'mongodb_collection is - required', pointing the reader at a key they can see they have set.""" - - def test_a_mistyped_parameter_is_named(self): - config, _, _ = _config() - - with pytest.raises(BadRequestError, match="mongodb_collectoin"): - _search(config, litellm_params={"mongodb_collectoin": "embedded_movies"}) - - def test_the_supported_names_are_listed(self): - config, _, _ = _config() - - with pytest.raises(BadRequestError, match="mongodb_connection_string"): - _search(config, litellm_params={"mongodb_databse": "sample_mflix"}) - - def test_unrelated_litellm_params_are_still_ignored(self): - config, _, _ = _config(documents=[{"_id": 1, "text": "hit", "score": 0.9}]) - - response = _search( - config, - litellm_params={"use_litellm_proxy": False, "use_in_pass_through": False, "vector_store_id": "x"}, - ) - - assert len(response["data"]) == 1 - - @pytest.mark.asyncio - async def test_the_async_path_rejects_them_too(self): - config, _, _ = _async_config() - - with pytest.raises(BadRequestError, match="mongodb_collectoin"): - await _asearch(config, litellm_params={"mongodb_collectoin": "embedded_movies"}) - - -class TestClientConstructionFailures: - """Building the client parses the URI and, for mongodb+srv://, performs a DNS SRV lookup, so it - fails on exactly the inputs a user is most likely to get wrong. Constructing it outside the - translation boundary let those escape as raw pymongo errors, which litellm.exception_type then - wrapped into a 500 with a traceback in the body.""" - - def _config_that_fails_to_connect(self, error): - def factory(_key): - raise error - - return MongoDBVectorStoreConfig( - embedding_executor=FakeEmbeddingExecutor([0.1, 0.2, 0.3]), sync_client_factory=factory - ) - - def _async_config_that_fails_to_connect(self, error): - def factory(_key): - raise error - - return MongoDBVectorStoreConfig( - embedding_executor=FakeEmbeddingExecutor([0.1, 0.2, 0.3]), async_client_factory=factory - ) - - def test_a_malformed_uri_is_a_bad_request_not_a_500(self): - from pymongo.errors import InvalidURI - - config = self._config_that_fails_to_connect(InvalidURI("Invalid URI scheme")) - - with pytest.raises(BadRequestError, match="not a usable MongoDB connection string"): - _search(config) - - def test_an_unresolvable_cluster_name_says_so(self): - from pymongo.errors import ConfigurationError - - config = self._config_that_fails_to_connect(ConfigurationError("The DNS query name does not exist")) - - with pytest.raises(BadRequestError, match="does not exist in DNS"): - _search(config) - - def test_a_dns_lookup_that_ran_out_of_time_is_a_timeout(self): - from pymongo.errors import ConfigurationError - - config = self._config_that_fails_to_connect( - ConfigurationError("The resolution lifetime expired after 0.291 seconds") - ) - - with pytest.raises(Timeout, match="did not finish in time"): - _search(config) - - @pytest.mark.asyncio - async def test_the_async_path_translates_them_too(self): - from pymongo.errors import InvalidURI - - config = self._async_config_that_fails_to_connect(InvalidURI("Invalid URI scheme")) - - with pytest.raises(BadRequestError, match="not a usable MongoDB connection string"): - await _asearch(config) - - -class TestSelfManagedDeploymentsAreFirstClass: - """mongod serves $vectorSearch identically whether mongot runs under Atlas or beside a - self-managed deployment, so an operator without an Atlas account has to be able to act on - every message. Guidance that only names Atlas remedies sends them looking for an IP access - list and a paused cluster that do not exist in their deployment.""" - - def _config_that_fails_to_connect(self, error): - def factory(_key): - raise error - - return MongoDBVectorStoreConfig( - embedding_executor=FakeEmbeddingExecutor([0.1, 0.2, 0.3]), sync_client_factory=factory - ) - - def test_a_plain_mongodb_uri_without_srv_or_credentials_is_accepted(self): - params = _MongoDBSearchParams.model_validate( - {**BASE_PARAMS, "mongodb_connection_string": "mongodb://mongod.internal:27017"} - ) - - assert params.require_connection_string() == "mongodb://mongod.internal:27017" - - def test_an_unreachable_deployment_names_a_self_managed_remedy(self): - from pymongo.errors import ServerSelectionTimeoutError - - config = self._config_that_fails_to_connect(ServerSelectionTimeoutError("connection refused")) - - with pytest.raises(Timeout) as excinfo: - _search(config) - - assert "self-managed" in str(excinfo.value) - assert "host or port" in str(excinfo.value) - - def test_a_refused_connection_names_a_self_managed_remedy(self): - from pymongo.errors import ConnectionFailure - - config = self._config_that_fails_to_connect(ConnectionFailure("connection closed")) - - with pytest.raises(ServiceUnavailableError) as excinfo: - _search(config) - - assert "self-managed" in str(excinfo.value) - assert "mongod is listening" in str(excinfo.value) - - def test_an_unresolvable_hostname_names_a_self_managed_remedy(self): - from pymongo.errors import ConfigurationError - - config = self._config_that_fails_to_connect(ConfigurationError("The DNS query name does not exist")) - - with pytest.raises(BadRequestError) as excinfo: - _search(config) - - assert "self-managed" in str(excinfo.value) - - def test_the_missing_index_message_does_not_claim_atlas(self): - message = str(missing_index_error(INDEX, "sample_mflix", "embedded_movies")) - - assert "MongoDB Vector Search index" in message - assert "Atlas" not in message - - def test_the_not_ready_message_does_not_claim_atlas(self): - message = str(index_not_ready_error(INDEX, "sample_mflix", "embedded_movies", "PENDING")) - - assert "MongoDB Vector Search index" in message - assert "Atlas" not in message - - def test_the_search_only_refusal_does_not_claim_atlas(self): - config = MongoDBVectorStoreConfig() - - with pytest.raises(BadRequestError) as excinfo: - config.transform_create_vector_store_request({}, api_base="") - - assert "Atlas" not in str(excinfo.value) - - def test_a_dimension_mismatch_does_not_claim_atlas(self): - from pymongo.errors import OperationFailure - - error = OperationFailure("vector field is indexed with 128 dimensions but queried with 256") - translated = translate_mongo_error(error, index_name=INDEX, database="db", collection="c") - - assert "Atlas" not in str(translated) - assert "dimensions the index was built for" in str(translated) - - def test_an_uncovered_embedding_field_does_not_claim_atlas(self): - from pymongo.errors import OperationFailure - - error = OperationFailure("embedding is not indexed as vector") - translated = translate_mongo_error(error, index_name=INDEX, database="db", collection="c") - - assert "MongoDB Vector Search index does not cover" in str(translated) - assert "Atlas" not in str(translated) - - def test_a_self_managed_auth_failure_is_still_recognised_by_code_18(self): - from pymongo.errors import OperationFailure - - error = OperationFailure("Authentication failed.", code=18, details={"code": 18}) - translated = translate_mongo_error(error, index_name=INDEX, database="db", collection="c") - - assert isinstance(translated, BadRequestError) - assert "rejected the credentials" in str(translated) - - -class TestUnescapedCredentialsAreDiagnosed: - """Self-managed deployments usually carry a generated password, so '@', '/', ':' and '%' in one - are routine. pymongo reports those as a port, a database name or an RFC 3986 complaint, none of - which points the operator at their password, so each has to be named for what it is. The errors - here come from pymongo's real parser rather than a synthetic stand-in.""" - - @staticmethod - def _real_parse_error(uri): - from pymongo import MongoClient - - try: - MongoClient(uri, serverSelectionTimeoutMS=1) - except Exception as e: - return e - raise AssertionError(f"expected {uri!r} to fail parsing") - - def _translated(self, uri): - return translate_mongo_error( - self._real_parse_error(uri), index_name=INDEX, database="db", collection="c" - ) - - @pytest.mark.parametrize( - "uri", - [ - "mongodb://user:pa@ss@host:27017/", - "mongodb://user:pa:ss@host:27017/", - "mongodb://user:pa%ss@host:27017/", - "mongodb://user@x:pw@host:27017/", - ], - ) - def test_rfc_3986_complaints_tell_the_operator_to_encode_the_password(self, uri): - translated = self._translated(uri) - - assert isinstance(translated, BadRequestError) - assert "percent-encoded per RFC 3986" in str(translated) - - @pytest.mark.parametrize( - "uri", - ["mongodb://user:pa/ss@host:27017/", "mongodb://user/x:pw@host:27017/"], - ) - def test_a_slash_in_the_credentials_is_not_reported_as_a_database_name(self, uri): - translated = self._translated(uri) - - assert isinstance(translated, BadRequestError) - assert "percent-encoded per RFC 3986" in str(translated) - - def test_an_unusable_port_names_the_host_and_port_not_the_database(self): - translated = self._translated("mongodb://host:99999/") - - assert isinstance(translated, BadRequestError) - assert "host and port" in str(translated) - - def test_a_genuinely_bad_database_name_still_mentions_the_uri_path(self): - translated = self._translated("mongodb://host:27017/has space") - - assert isinstance(translated, BadRequestError) - assert "database name in the URI path" in str(translated) - - -class TestUnreadableTlsFilesAreDiagnosed: - """A private CA is how self-managed deployments present TLS, so tlsCAFile and - tlsCertificateKeyFile are on-prem options in practice. pymongo opens those files itself and - lets OSError out, which is not a PyMongoError, so before this they reached the caller as a 500 - with a traceback. The errors here come from pymongo's real TLS setup.""" - - @staticmethod - def _real_tls_error(uri): - from pymongo import MongoClient - - try: - MongoClient(uri, serverSelectionTimeoutMS=1500).admin.command("ping") - except Exception as e: - return e - raise AssertionError(f"expected {uri!r} to fail") - - def _translated(self, uri): - return translate_mongo_error(self._real_tls_error(uri), index_name=INDEX, database="db", collection="c") - - @pytest.mark.parametrize( - "path", - ["/nonexistent-directory-for-tests/ca.pem", "/tmp"], - ) - def test_an_unreadable_ca_file_is_a_400_naming_the_path(self, path): - translated = self._translated(f"mongodb://localhost:27717/?tls=true&tlsCAFile={path}") - - assert isinstance(translated, BadRequestError) - assert path in str(translated) - assert "tlsCAFile" in str(translated) - - def test_an_unreadable_client_certificate_is_a_400_naming_the_path(self): - path = "/nonexistent-directory-for-tests/client.pem" - translated = self._translated(f"mongodb://localhost:27717/?tls=true&tlsCertificateKeyFile={path}") - - assert isinstance(translated, BadRequestError) - assert path in str(translated) - - def test_an_oserror_carrying_no_filename_is_left_for_the_other_branches(self): - translated = translate_mongo_error(OSError("socket hung up"), index_name=INDEX, database="db", collection="c") - - assert not isinstance(translated, BadRequestError) - - -class TestTheCallerSuppliedEmbeddingExecutorIsUsed: - """litellm.vector_stores.search always hands a direct provider an embedding_executor, so the - provider has to accept it and route the query through it rather than its own default.""" - - def test_the_supplied_executor_produces_the_query_vector(self): - config, _, collection = _config(embedding=(0.9, 0.9, 0.9), search_indexes=READY_INDEX) - caller = FakeEmbeddingExecutor([0.4, 0.5, 0.6]) - - config.execute_search_vector_store_request( - vector_store_id=INDEX, - query="a lone astronaut", - vector_store_search_optional_params={}, - litellm_logging_obj=MagicMock(), - litellm_params=BASE_PARAMS, - embedding_executor=caller, - ) - - assert caller.captured.query == "a lone astronaut" - assert _stage(collection, "$vectorSearch")["queryVector"] == (0.4, 0.5, 0.6) - - @pytest.mark.asyncio - async def test_the_supplied_executor_produces_the_query_vector_on_the_async_path(self): - config, _, collection = _async_config(embedding=(0.9, 0.9, 0.9), search_indexes=READY_INDEX) - caller = FakeEmbeddingExecutor([0.4, 0.5, 0.6]) - - await config.aexecute_search_vector_store_request( - vector_store_id=INDEX, - query="a lone astronaut", - vector_store_search_optional_params={}, - litellm_logging_obj=MagicMock(), - litellm_params=BASE_PARAMS, - embedding_executor=caller, - ) - - assert caller.captured.query == "a lone astronaut" - assert _stage(collection, "$vectorSearch")["queryVector"] == (0.4, 0.5, 0.6) +async def test_public_sdk_preserves_http_errors_response_and_timeout( + status: int, + body: Mapping[str, object], + error_type: type[Exception] | None, + asynchronous: bool, + timeout: float, + api_base: str, +) -> None: + executor: Final = RecordingEmbeddingExecutor() + if status == -1: + if asynchronous: + with pytest.raises(litellm.BadRequestError, match="search-only"): + await litellm.vector_stores.acreate(custom_llm_provider="mongodb") + else: + with pytest.raises(litellm.BadRequestError, match="search-only"): + litellm.vector_stores.create(custom_llm_provider="mongodb") + return + if status == -2: + rejected_params: Final = {**BASE_PARAMS, "api_base": str(body["api_base"])} + if asynchronous: + with pytest.raises(litellm.BadRequestError, match="requires HTTPS"): + await litellm.vector_stores.asearch( + vector_store_id="policy_index", + query="travel policy", + custom_llm_provider="mongodb", + _direct_vector_store_embedding_executor=executor, + **rejected_params, + ) + else: + with pytest.raises(litellm.BadRequestError, match="requires HTTPS"): + litellm.vector_stores.search( + vector_store_id="policy_index", + query="travel policy", + custom_llm_provider="mongodb", + _direct_vector_store_embedding_executor=executor, + **rejected_params, + ) + executor.call.assert_not_called() + return + + def respond(request: httpx.Request) -> httpx.Response: + assert request.url == f"{api_base}/v1/vector_stores/policy_index/search" + assert request.headers["authorization"] == "Bearer test-sidecar-key" + assert request.extensions["timeout"]["read"] == timeout + payload: Final = json.loads(request.content) + assert payload["timeout_ms"] == int(timeout * 1000) + assert payload["query_vector"] == [0.1, 0.2, 0.3] + if status == 0: + raise httpx.ReadTimeout("timed out", request=request) + return httpx.Response(status, json=body) + + async with httpx.AsyncClient(transport=httpx.MockTransport(respond)) as async_transport: + with httpx.Client(transport=httpx.MockTransport(respond)) as transport: + client: Final = AsyncHTTPHandler() if asynchronous else HTTPHandler(client=transport) + if isinstance(client, AsyncHTTPHandler): + await client.client.aclose() + client.client = async_transport + + async def search() -> VectorStoreSearchResponse: + kwargs: Final = { + **BASE_PARAMS, + "api_base": api_base, + "vector_store_id": "policy_index", + "query": "travel policy", + "custom_llm_provider": "mongodb", + "_direct_vector_store_embedding_executor": executor, + "client": client, + "timeout": timeout, + } + if asynchronous: + return await litellm.vector_stores.asearch(**kwargs) + return litellm.vector_stores.search(**kwargs) + + if error_type is not None: + with pytest.raises(error_type): + await search() + else: + assert await search() == RESULT + executor.call.assert_called_once_with("embedding-alias", "travel policy", {}) diff --git a/tests/test_litellm/llms/ollama/test_ollama_completion_transformation.py b/tests/test_litellm/llms/ollama/test_ollama_completion_transformation.py index eadc2bc9541..b2071155f3f 100644 --- a/tests/test_litellm/llms/ollama/test_ollama_completion_transformation.py +++ b/tests/test_litellm/llms/ollama/test_ollama_completion_transformation.py @@ -2,9 +2,11 @@ import json from litellm._uuid import uuid from unittest.mock import MagicMock, patch +import httpx import pytest - +import litellm +from litellm.llms.custom_httpx.http_handler import AsyncHTTPHandler from litellm.llms.ollama.completion.transformation import ( OllamaConfig, OllamaTextCompletionResponseIterator, @@ -502,3 +504,43 @@ class TestOllamaTextCompletionResponseIterator: assert result["usage"]["prompt_tokens"] == 10 assert result["usage"]["completion_tokens"] == 5 assert result["usage"]["total_tokens"] == 15 + + +async def test_ollama_async_completion_inlines_remote_images_off_the_event_loop(async_only_image_fetch): + image_url = f"https://img.example/{uuid.uuid4()}.png" + captured = {} + + def handle(request): + captured["body"] = json.loads(request.content) + return httpx.Response( + 200, + json={ + "model": "llava", + "response": "Green", + "done": True, + "prompt_eval_count": 1, + "eval_count": 1, + }, + ) + + client = AsyncHTTPHandler() + client.client = httpx.AsyncClient(transport=httpx.MockTransport(handle)) + + response = await litellm.acompletion( + model="ollama/llava", + messages=[ + { + "role": "user", + "content": [ + {"type": "text", "text": "What colour is this?"}, + {"type": "image_url", "image_url": {"url": image_url}}, + ], + } + ], + api_base="http://ollama.example:11434", + client=client, + ) + + assert response.choices[0].message.content == "Green" + assert async_only_image_fetch.fetched == [image_url] + assert captured["body"]["images"] == [async_only_image_fetch.base64_png] diff --git a/tests/test_litellm/llms/vertex_ai/vertex_ai_partner_models/anthropic/test_vertex_ai_anthropic_image_url_handling.py b/tests/test_litellm/llms/vertex_ai/vertex_ai_partner_models/anthropic/test_vertex_ai_anthropic_image_url_handling.py index fa286f6f609..98071594ebf 100644 --- a/tests/test_litellm/llms/vertex_ai/vertex_ai_partner_models/anthropic/test_vertex_ai_anthropic_image_url_handling.py +++ b/tests/test_litellm/llms/vertex_ai/vertex_ai_partner_models/anthropic/test_vertex_ai_anthropic_image_url_handling.py @@ -6,11 +6,15 @@ Vertex AI Anthropic models don't support URL sources for images. LiteLLM should convert image URLs to base64 when using Vertex AI Anthropic. """ +import json +import sys from unittest.mock import patch, MagicMock +import httpx import pytest - +import litellm +from litellm._uuid import uuid from litellm.litellm_core_utils.prompt_templates.factory import ( anthropic_messages_pt, convert_to_anthropic_tool_result, @@ -371,3 +375,59 @@ class TestToolMessageImageURLHandling: assert item["source"]["type"] == "url" return pytest.fail("Could not find image in tool result") + + +async def test_vertex_ai_anthropic_async_completion_inlines_https_images_off_the_event_loop(async_only_image_fetch): + from litellm.llms.custom_httpx.http_handler import AsyncHTTPHandler + + image_url = f"https://img.example/{uuid.uuid4()}.png" + captured = {} + + def handle(request): + captured["body"] = json.loads(request.content) + return httpx.Response( + 200, + json={ + "id": "msg_1", + "type": "message", + "role": "assistant", + "model": "claude-sonnet-4-6", + "content": [{"type": "text", "text": "Green"}], + "stop_reason": "end_turn", + "usage": {"input_tokens": 1, "output_tokens": 1}, + }, + ) + + client = AsyncHTTPHandler() + client.client = httpx.AsyncClient(transport=httpx.MockTransport(handle)) + vertexai = MagicMock() + vertexai.preview.language_models = MagicMock() + + with ( + patch.dict(sys.modules, {"vertexai": vertexai}), + patch.object( # test-quality-ok: litellm.acompletion has no seam for Vertex token minting + litellm.main.vertex_partner_models_chat_completion, + "_ensure_access_token", + return_value=("token", "test-project"), + ), + ): + response = await litellm.acompletion( + model="vertex_ai/claude-sonnet-4-6", + messages=[ + { + "role": "user", + "content": [ + {"type": "text", "text": "What colour is this?"}, + {"type": "image_url", "image_url": {"url": image_url}}, + ], + } + ], + vertex_project="test-project", + vertex_location="us-east5", + client=client, + ) + + assert response.choices[0].message.content == "Green" + assert async_only_image_fetch.fetched == [image_url] + sources = [part["source"] for part in captured["body"]["messages"][0]["content"] if part["type"] == "image"] + assert sources == [{"type": "base64", "media_type": "image/png", "data": async_only_image_fetch.base64_png}] diff --git a/tests/test_litellm/llms/watsonx/test_watsonx.py b/tests/test_litellm/llms/watsonx/test_watsonx.py index 8ac4472b22d..285afffefc0 100644 --- a/tests/test_litellm/llms/watsonx/test_watsonx.py +++ b/tests/test_litellm/llms/watsonx/test_watsonx.py @@ -356,6 +356,74 @@ async def test_watsonx_gpt_oss_uses_async_http_handler(): assert result["status"] == "success", "Should return success status" +@pytest.mark.parametrize("tokenizer_config_cached", [False, True], ids=["tokenizer_config", "cached_config_jinja"]) +async def test_watsonx_text_gpt_oss_async_completion_fetches_hf_template_off_the_event_loop( + monkeypatch, tokenizer_config_cached +): + import httpx + + from litellm._uuid import uuid + from litellm.litellm_core_utils.prompt_templates import huggingface_template_handler + from litellm.llms.custom_httpx.http_handler import AsyncHTTPHandler + + hf_model = f"openai/gpt-oss-{uuid.uuid4()}" + chat_template = "{% for m in messages %}<|{{ m['role'] }}|>{{ m['content'] }}{% endfor %}" + if tokenizer_config_cached: + cached_config = {"status": "success", "tokenizer": {"bos_token": None, "eos_token": None}} + monkeypatch.setattr(litellm, "known_tokenizer_config", {hf_model: cached_config}) + expected_fetch = f"https://huggingface.co/{hf_model}/raw/main/chat_template.jinja" + else: + monkeypatch.setattr(litellm, "known_tokenizer_config", {}) + expected_fetch = f"https://huggingface.co/{hf_model}/raw/main/tokenizer_config.json" + hf_fetched = [] + captured = {} + + def forbid_sync_client(): + raise AssertionError("sync HuggingFace fetch ran on the request path") + + async def serve_hf_file(url, **kwargs): + hf_fetched.append(url) + if url.endswith(".jinja"): + return httpx.Response(200, content=chat_template.encode()) + return httpx.Response(200, json={"chat_template": chat_template, "bos_token": None, "eos_token": None}) + + monkeypatch.setattr(huggingface_template_handler, "_get_httpx_client", forbid_sync_client) + monkeypatch.setattr(huggingface_template_handler, "get_async_httpx_client", lambda **kwargs: Mock(get=serve_hf_file)) + + def handle(request): + captured["body"] = json.loads(request.content) + return httpx.Response( + 200, + json={ + "model_id": hf_model, + "results": [ + { + "generated_text": "Hi", + "generated_token_count": 1, + "input_token_count": 1, + "stop_reason": "eos_token", + } + ], + }, + ) + + client = AsyncHTTPHandler() + client.client = httpx.AsyncClient(transport=httpx.MockTransport(handle)) + + response = await litellm.acompletion( + model=f"watsonx_text/{hf_model}", + messages=[{"role": "user", "content": "Hi there"}], + api_base="https://test-api.watsonx.ai", + project_id="test-project-id", + token="test-token", + client=client, + ) + + assert response.choices[0].message.content == "Hi" + assert hf_fetched == [expected_fetch] + assert captured["body"]["input"] == "<|user|>Hi there" + + def test_watsonx_chat_completion_with_reasoning_effort(monkeypatch): """ Test that 'reasoning_effort' is correctly passed through to the WatsonX API payload. diff --git a/tests/test_litellm/proxy/_experimental/mcp_server/conftest.py b/tests/test_litellm/proxy/_experimental/mcp_server/conftest.py index 2ccba2b2055..9a66f130d24 100644 --- a/tests/test_litellm/proxy/_experimental/mcp_server/conftest.py +++ b/tests/test_litellm/proxy/_experimental/mcp_server/conftest.py @@ -2,15 +2,15 @@ import os import pytest -from litellm.proxy._experimental.mcp_server.mcp_server_manager import ( - global_mcp_server_manager, -) - @pytest.fixture(autouse=True) def _hermetic_mcp_server_registry(): """Restore the singleton ``global_mcp_server_manager``'s registry state around every test, so entries seeded by one test never leak into another on a shared shard.""" + from litellm.proxy._experimental.mcp_server.mcp_server_manager import ( + global_mcp_server_manager, + ) + saved_registry = dict(global_mcp_server_manager.registry) saved_config_servers = dict(global_mcp_server_manager.config_mcp_servers) saved_tool_mapping = dict(global_mcp_server_manager.tool_name_to_mcp_server_name_mapping) diff --git a/tests/test_litellm/proxy/_experimental/mcp_server/test_mcp_partial_update.py b/tests/test_litellm/proxy/_experimental/mcp_server/test_mcp_partial_update.py index c0d055edb7f..669e094fee4 100644 --- a/tests/test_litellm/proxy/_experimental/mcp_server/test_mcp_partial_update.py +++ b/tests/test_litellm/proxy/_experimental/mcp_server/test_mcp_partial_update.py @@ -1,10 +1,11 @@ """ -Tests for partial-update semantics of PUT /v1/mcp/server. +Tests for partial-update semantics of PUT /v1/mcp/server and PUT /v1/mcp/toolset. A partial update must only write the fields the caller explicitly provided. Omitting a field must NOT reset it to its Pydantic schema default (e.g. ``transport=sse``, ``mcp_access_groups=[]``, ``allow_all_keys=False``), which -would silently overwrite the existing DB row. +would silently overwrite the existing DB row, and a field the caller sent as null +must be cleared rather than left at its stored value. """ import json @@ -850,3 +851,69 @@ async def test_cf_pair_switch_does_not_clear_dcr_bridge(): data = UpdateMCPServerRequest(server_id="s", auth_type="oauth_delegate") data_dict = await _run_update_with_existing(data, existing_auth_type="true_passthrough") assert "dcr_bridge" not in data_dict + + +def _mock_toolset_prisma(): + """A prisma double whose update answers with a row the reader can expand, so the + call under test returns instead of failing inside the row mapper.""" + updated_row = MagicMock() + updated_row.model_dump.return_value = { + "toolset_id": "ts-1", + "toolset_name": "ops", + "description": None, + "tools": "[]", + } + mock_prisma = MagicMock() + mock_prisma.db.litellm_mcptoolsettable = AsyncMock() + mock_prisma.db.litellm_mcptoolsettable.update = AsyncMock(return_value=updated_row) + return mock_prisma + + +async def _run_toolset_update(payload: dict) -> dict: + """The columns PUT /v1/mcp/toolset writes for this payload, minus the audit stamp + every write carries. The prisma double is injected, so nothing is patched.""" + from litellm.proxy._experimental.mcp_server.toolset_db import update_mcp_toolset + from litellm.types.mcp_server.mcp_toolset import UpdateMCPToolsetRequest + + mock_prisma = _mock_toolset_prisma() + await update_mcp_toolset(mock_prisma, UpdateMCPToolsetRequest.model_validate(payload), "test-user") + written = dict(mock_prisma.db.litellm_mcptoolsettable.update.call_args[1]["data"]) + assert written["updated_by"] == "test-user" + return {name: value for name, value in written.items() if name != "updated_by"} + + +@pytest.mark.asyncio +async def test_toolset_partial_update_clears_description_on_explicit_null(): + """The dump used to drop None, so a null description could never clear the stored + one: the toolset kept a description its owner had deleted.""" + assert await _run_toolset_update({"toolset_id": "ts-1", "description": None}) == {"description": None} + + +@pytest.mark.asyncio +async def test_toolset_partial_update_omits_the_fields_the_caller_left_out(): + tools = [{"server_id": "s1", "tool_name": "alpha"}] + assert await _run_toolset_update({"toolset_id": "ts-1", "tools": tools}) == {"tools": json.dumps(tools)} + + +@pytest.mark.asyncio +async def test_toolset_partial_update_ignores_null_tools_rather_than_revoking_them(): + """A client that sends tools=null means "leave the selection alone", so the grants + survive. Clearing them is an explicit [], which cannot be confused with an omitted + field; treating null as a clear would silently revoke every tool the toolset grants.""" + assert await _run_toolset_update({"toolset_id": "ts-1", "tools": None, "description": "kept"}) == { + "description": "kept" + } + + +@pytest.mark.asyncio +async def test_toolset_partial_update_empties_the_selection_on_an_explicit_empty_list(): + assert await _run_toolset_update({"toolset_id": "ts-1", "tools": []}) == {"tools": "[]"} + + +@pytest.mark.asyncio +async def test_toolset_partial_update_ignores_a_null_name(): + """A toolset always has a name, so a null toolset_name is a no-op, not a clear + that would write a NOT NULL column to null.""" + assert await _run_toolset_update({"toolset_id": "ts-1", "toolset_name": None, "description": "kept"}) == { + "description": "kept" + } diff --git a/tests/test_litellm/proxy/_experimental/mcp_server/test_mcp_proxy_mode.py b/tests/test_litellm/proxy/_experimental/mcp_server/test_mcp_proxy_mode.py new file mode 100644 index 00000000000..67b7c5a3414 --- /dev/null +++ b/tests/test_litellm/proxy/_experimental/mcp_server/test_mcp_proxy_mode.py @@ -0,0 +1,118 @@ +import json +from datetime import datetime + +import pytest +from fastapi import HTTPException +from mcp.shared.exceptions import McpError +from pydantic import AnyUrl + +import litellm +from litellm.integrations.custom_logger import CustomLogger +from litellm.proxy._experimental.mcp_server import server +from litellm.proxy._experimental.mcp_server.mcp_context import _mcp_proxy_mode +from litellm.proxy._types import LiteLLM_ObjectPermissionTable, UserAPIKeyAuth + +AUTH = UserAPIKeyAuth(api_key="key") + + +@pytest.fixture +def proxy_mode(): + token = _mcp_proxy_mode.set(True) + try: + yield + finally: + _mcp_proxy_mode.reset(token) + + +@pytest.mark.asyncio +@pytest.mark.usefixtures("proxy_mode") +async def test_proxy_call_rejects_non_proxy_tool_names() -> None: + result = await server._dispatch_virtual_mcp_tool( + name="math_stdio-add", arguments={"a": 1, "b": 2}, user_api_key_auth=AUTH, client_ip=None + ) + + assert result is not None + assert result.isError is True + assert "unavailable on /mcp/proxy" in result.content[0].text + + +@pytest.mark.asyncio +@pytest.mark.usefixtures("proxy_mode") +async def test_proxy_rejects_non_tool_protocol_operations() -> None: + options = server.server.create_initialization_options() + assert options.capabilities.prompts is None + assert options.capabilities.resources is None + assert options.capabilities.tools is not None + + with pytest.raises(McpError): + await server.list_prompts() + with pytest.raises(McpError): + await server.get_prompt("prompt", {}) + with pytest.raises(McpError): + await server.list_resources() + with pytest.raises(McpError): + await server.list_resource_templates() + with pytest.raises(McpError): + await server.read_resource(AnyUrl("https://example.com/resource")) + + +class FailureRecorder(CustomLogger): + def __init__(self) -> None: + super().__init__() + self.events: list[tuple[str, str]] = [] + + async def async_log_failure_event( + self, kwargs: dict[str, object], response_obj: object, start_time: datetime, end_time: datetime + ) -> None: + self.events.append(("failure", json.dumps(kwargs.get("standard_logging_object"), default=str))) + + async def async_log_success_event( + self, kwargs: dict[str, object], response_obj: object, start_time: datetime, end_time: datetime + ) -> None: + self.events.append(("success", json.dumps(kwargs.get("standard_logging_object"), default=str))) + + async def async_post_call_failure_hook( + self, + request_data: dict[str, object], + original_exception: Exception, + user_api_key_dict: UserAPIKeyAuth, + traceback_str: str | None = None, + ) -> None: + self.events.append(("post_failure", json.dumps(request_data, default=str))) + + +@pytest.mark.asyncio +@pytest.mark.usefixtures("proxy_mode") +async def test_proxy_scope_exception_emits_failure_log(monkeypatch: pytest.MonkeyPatch) -> None: + recorder = FailureRecorder() + monkeypatch.setattr(litellm, "callbacks", [recorder]) + auth = UserAPIKeyAuth( + api_key="scope-denial-key-hash", + object_permission=LiteLLM_ObjectPermissionTable(object_permission_id="denied", mcp_servers=["no-mcp-servers"]), + ) + arguments = {"tool_id": "denied-scope", "arguments": {}} + + with pytest.raises(HTTPException) as denied: + await server._dispatch_virtual_mcp_tool( + name="call_tool", + arguments=arguments, + user_api_key_auth=auth, + client_ip=None, + mcp_servers=["ungranted"], + raw_headers={"authorization": "Bearer raw-scope-secret", "x-litellm-call-id": "scope-denial"}, + ) + + assert denied.value.status_code == 403 + assert denied.value.detail == {"error": "The key is not allowed to access the requested MCP servers: ungranted"} + assert [kind for kind, _ in recorder.events] == ["failure", "post_failure"] + payload = json.loads(recorder.events[0][1]) + assert payload["id"] == "scope-denial" + assert payload["call_type"] == "call_mcp_tool" + assert payload["status"] == "failure" + assert payload["response_cost"] == 0 + assert "ungranted" in payload["error_str"] + hook_payload = json.loads(recorder.events[1][1]) + assert hook_payload["standard_logging_object"] == payload + assert hook_payload["arguments"] == arguments + assert "raw_headers" not in hook_payload + assert "raw-scope-secret" not in recorder.events[1][1] diff --git a/tests/test_litellm/proxy/_experimental/mcp_server/test_mcp_server.py b/tests/test_litellm/proxy/_experimental/mcp_server/test_mcp_server.py index 79a2a27bb6d..9b6eaba3177 100644 --- a/tests/test_litellm/proxy/_experimental/mcp_server/test_mcp_server.py +++ b/tests/test_litellm/proxy/_experimental/mcp_server/test_mcp_server.py @@ -7638,6 +7638,75 @@ class TestMCPMetaTraceCarrier: assert _mcp_meta_trace_carrier(SimpleNamespace(meta=only_progress)) is None +@pytest.mark.asyncio +async def test_stateful_mcp_tool_call_uses_current_requests_otel_destinations() -> None: + from types import SimpleNamespace + + from mcp.server.lowlevel.server import request_ctx + from mcp.shared.context import RequestContext + + from litellm.integrations.otel.model.destination import OtelDestination + from litellm.integrations.otel.plumbing.context import ( + request_destinations, + reset_request_destinations, + set_request_destinations, + ) + from litellm.proxy._experimental.mcp_server.mcp_server_manager import ( + global_mcp_server_manager, + ) + from litellm.proxy._experimental.mcp_server.server import ( + _MCP_DESTINATIONS_SCOPE_KEY, + mcp_server_tool_call, + set_auth_context, + ) + from litellm.proxy._experimental.mcp_server.tool_registry import ( + global_mcp_tool_registry, + ) + + initialized_destination = OtelDestination(endpoint="https://initialize.example", callback_name="langfuse_otel") + current_destination = OtelDestination(endpoint="https://current.example", callback_name="arize") + server = MCPServer( + server_id="otel-context-test", + name="otelcontext", + transport=MCPTransport.http, + allow_all_keys=True, + ) + + async def observe_destinations() -> str: + assert request_destinations() == (current_destination,) + return "ok" + + global_mcp_server_manager.registry[server.server_id] = server + global_mcp_server_manager.tool_name_to_mcp_server_name_mapping["otelcontext-observe"] = server.name + global_mcp_tool_registry.register_tool( + name="otelcontext-observe", + description="Observe request destinations", + input_schema={"type": "object"}, + handler=observe_destinations, + ) + set_auth_context(None, raw_headers={}) + destinations_token = set_request_destinations((initialized_destination,)) + scope = {_MCP_DESTINATIONS_SCOPE_KEY: (current_destination,)} + current_request_context = RequestContext( + request_id=1, + meta=None, + session=SimpleNamespace(), + lifespan_context=None, + request=SimpleNamespace(scope=scope), + ) + request_token = request_ctx.set(current_request_context) + try: + result = await mcp_server_tool_call("otelcontext-observe", {}) + assert result.isError is False + assert request_destinations() == (initialized_destination,) + finally: + request_ctx.reset(request_token) + reset_request_destinations(destinations_token) + global_mcp_tool_registry.tools.pop("otelcontext-observe", None) + global_mcp_server_manager.registry.pop(server.server_id, None) + global_mcp_server_manager.tool_name_to_mcp_server_name_mapping.pop("otelcontext-observe", None) + + @pytest.mark.asyncio async def test_get_allowed_mcp_servers_includes_active_servers_submitted_by_user(): """BYOM submitters can see approved servers they submitted without allow_all_keys.""" diff --git a/tests/test_litellm/proxy/_experimental/mcp_server/test_rest_endpoints.py b/tests/test_litellm/proxy/_experimental/mcp_server/test_rest_endpoints.py index bd692776c82..3487f634251 100644 --- a/tests/test_litellm/proxy/_experimental/mcp_server/test_rest_endpoints.py +++ b/tests/test_litellm/proxy/_experimental/mcp_server/test_rest_endpoints.py @@ -3,7 +3,7 @@ import inspect import json import sys from datetime import datetime -from typing import Any, Dict, Optional +from typing import Any, Dict, Final, Optional from unittest.mock import AsyncMock, MagicMock if sys.version_info < (3, 11): # BaseExceptionGroup is a builtin only from 3.11 @@ -113,7 +113,7 @@ class TestExecuteWithMcpClient: assert "stack_trace" not in result @pytest.mark.asyncio - async def test_timeout_caps_hanging_operation_and_names_url(self, monkeypatch): + async def test_timeout_caps_hanging_operation_and_names_origin(self, monkeypatch): async def fake_create_client(*args, **kwargs): return object() @@ -138,7 +138,7 @@ class TestExecuteWithMcpClient: ) assert result["error"] is True - assert "https://mcp.example.com/mcp/" in result["message"] + assert "https://mcp.example.com" in result["message"] @pytest.mark.asyncio async def test_timeout_covers_client_creation(self, monkeypatch): @@ -166,15 +166,15 @@ class TestExecuteWithMcpClient: ) assert result["error"] is True - assert "https://mcp.example.com/mcp/" in result["message"] + assert "https://mcp.example.com" in result["message"] def test_timeout_defaults_to_tool_listing_timeout(self): default = inspect.signature(rest_endpoints._execute_with_mcp_client).parameters["timeout_seconds"].default assert default == MCP_TOOL_LISTING_TIMEOUT - def test_connection_error_message_timeout_names_url_and_budget(self): + def test_connection_error_message_timeout_names_origin_and_budget(self): message = rest_endpoints._connection_error_message(TimeoutError(), "https://api.example.com/mcp/", 30.0) - assert "https://api.example.com/mcp/" in message + assert "https://api.example.com" in message assert "30s" in message def test_connection_error_message_hides_arbitrary_http_exception_detail(self): @@ -592,7 +592,7 @@ class TestExecuteWithMcpClient: assert result["status"] == "error" assert result["error"] is True - assert "Failed to connect to MCP server" in result["message"] + assert "reference" in result["message"] # Error message must not leak raw exception details assert "cancel scope" not in result["message"] @@ -3427,10 +3427,191 @@ class TestConnectionErrorMessage: message = rest_endpoints._connection_error_message(exc, "https://example.com", 30.0) assert "503" in message + @pytest.mark.parametrize( + "error_type", [httpx.ReadError, httpx.WriteError, httpx.RemoteProtocolError, ConnectionResetError] + ) + def test_interrupted_connection_message_is_safe(self, error_type: type[Exception]) -> None: + message: Final = rest_endpoints._connection_error_message( + error_type("secret-transport-detail"), "https://example.com/?token=secret-query", 30 + ) + assert "connection was interrupted" in message + assert "secret" not in message + + def test_closed_connection_explains_incomplete_request(self) -> None: + from mcp import McpError + from mcp.types import ErrorData + + message: Final = rest_endpoints._connection_error_message( + McpError(ErrorData(code=-32000, message="Connection closed", data="secret-data")), None, 30 + ) + assert "connection was closed before the request completed" in message + assert "secret" not in message + + def test_timeout_does_not_claim_the_server_sent_nothing(self) -> None: + message: Final = rest_endpoints._connection_error_message(TimeoutError(), None, 30) + assert "no valid MCP response received" in message + + @pytest.mark.asyncio + @pytest.mark.parametrize("sdk_timeout", [True, False]) + @pytest.mark.parametrize("read_timeout", [0, 1]) + async def test_timeout_message_uses_the_deadline_that_expired(self, sdk_timeout: bool, read_timeout: int) -> None: + from mcp import McpError + from mcp.types import ErrorData + + async def operation(client: rest_endpoints.MCPClient) -> dict[str, object]: + try: + raise TimeoutError("secret-timeout") + except TimeoutError as elapsed: + if not sdk_timeout: + raise + try: + raise McpError(ErrorData(code=408, message="secret-sdk-timeout")) from elapsed + except McpError as sdk_error: + raise TimeoutError() from sdk_error + + payload: Final = NewMCPServerRequest( + server_name="timeout", url="https://example.com", auth_type=MCPAuth.none, timeout=read_timeout + ) + result: Final = await rest_endpoints._execute_with_mcp_client(payload, operation, timeout_seconds=30) + assert (f"within {read_timeout}s" if sdk_timeout else "within 30s") in result["message"] + assert "secret" not in result["message"] + def test_unknown_error_falls_back_to_generic(self): message = rest_endpoints._connection_error_message(RuntimeError("weird"), "https://example.com", 30.0) assert "weird" not in message - assert "proxy logs" in message.lower() + assert "reference" in message.lower() + + def test_sdk_session_terminated_explains_endpoint_and_retry(self) -> None: + from mcp.shared.exceptions import McpError + from mcp.types import ErrorData + + message: Final = rest_endpoints._connection_error_message( + McpError(ErrorData(code=32600, message="Session terminated")), "https://example.com/mcp", 30.0 + ) + + assert "session was terminated" in message + assert "MCP endpoint" in message + assert "transport" in message + assert "retry" in message + assert "404" not in message + + @pytest.mark.parametrize("code", [-32700, -32601, -32602, -32603, -32000, 32600, 408]) + def test_rpc_errors_include_code_without_echoing_upstream_data(self, code: int) -> None: + from mcp.shared.exceptions import McpError + from mcp.types import ErrorData + + message: Final = rest_endpoints._connection_error_message( + McpError(ErrorData(code=code, message="secret-message", data={"token": "secret-data"})), + "https://example.com/secret-path?token=secret-query", + 30.0, + ) + + assert f"JSON-RPC code {code}" in message + assert "secret" not in message + assert "timed out" not in message + assert "session was terminated" not in message + + @pytest.mark.parametrize("status_code", [401, 403, 404, 405, 429, 503]) + def test_wrapped_http_failures_preserve_status(self, status_code: int) -> None: + response: Final = httpx.Response(status_code, text="secret-body") + upstream: Final = httpx.HTTPStatusError( + "secret-exception", + request=httpx.Request("POST", "https://example.com/?token=secret-query"), + response=response, + ) + wrapped: Final = BaseExceptionGroup( + "secret-group", [asyncio.CancelledError(), BaseExceptionGroup("nested", [upstream])] + ) + + message: Final = rest_endpoints._connection_error_message(wrapped, "https://example.com", 30.0) + + assert f"HTTP {status_code}" in message + assert "secret" not in message + + def test_explicit_cause_is_classified_before_incidental_context(self) -> None: + wrapped: Final = RuntimeError("secret-wrapper") + wrapped.__cause__ = httpx.ConnectError("secret-cause") + wrapped.__context__ = TimeoutError("secret-context") + + message: Final = rest_endpoints._connection_error_message(wrapped, "https://example.com", 30.0) + + assert "unreachable" in message + assert "secret" not in message + + def test_timeout_url_redacts_credentials_path_query_and_fragment(self) -> None: + message: Final = rest_endpoints._connection_error_message( + TimeoutError("secret-error"), + "https://secret-user:secret-pass@example.com:8443/secret-path?token=secret-query#secret-fragment", + 30.0, + ) + + assert "https://example.com:8443" in message + assert "30s" in message + assert "secret" not in message + + def test_unknown_failure_reference_matches_safe_diagnostics(self, caplog: pytest.LogCaptureFixture) -> None: + import re + + try: + raise RuntimeError("secret-exception-body") + except RuntimeError as exc: + message: Final = rest_endpoints._connection_error_message( + exc, "https://secret-user:secret-password@example.com/secret-path?token=secret-query", 30.0 + ) + + reference: Final = re.search(r"reference ([a-f0-9]{32})", message) + assert reference is not None + diagnostics: Final = tuple( + record for record in caplog.records if "MCP connection test failed" in record.message + ) + assert len(diagnostics) == 1 + assert reference.group(1) in diagnostics[0].message + assert "RuntimeError" in diagnostics[0].message + assert "test_unknown_failure_reference_matches_safe_diagnostics" in diagnostics[0].message + assert diagnostics[0].exc_info is None + assert "secret" not in message + diagnostics[0].message + + @pytest.mark.parametrize("exc", [ValueError("secret-config"), HTTPException(500, "secret-detail")]) + def test_unrelated_errors_are_not_misreported_as_invalid_mcp(self, exc: Exception) -> None: + message: Final = rest_endpoints._connection_error_message(exc, "https://example.com", 30.0) + + assert "reference" in message + assert "invalid MCP response" not in message + assert "secret" not in message + + def test_configuration_validation_error_uses_unknown_fallback(self) -> None: + from pydantic import ValidationError + + with pytest.raises(ValidationError) as caught: + NewMCPServerRequest.model_validate({"server_name": "example", "transport": "secret-invalid-transport"}) + + message: Final = rest_endpoints._connection_error_message(caught.value, "https://example.com", 30.0) + assert "reference" in message + assert "invalid MCP response" not in message + assert "secret" not in message + + @pytest.mark.asyncio + async def test_connection_test_preserves_cancellation(self) -> None: + async def cancelled_operation(client: rest_endpoints.MCPClient) -> dict[str, object]: + raise asyncio.CancelledError + + payload: Final = NewMCPServerRequest(server_name="cancelled", url="https://example.com", auth_type=MCPAuth.none) + with pytest.raises(asyncio.CancelledError): + await rest_endpoints._execute_with_mcp_client(payload, cancelled_operation) + + @pytest.mark.asyncio + async def test_unknown_failure_preserves_response_contract(self) -> None: + async def failing_operation(client: rest_endpoints.MCPClient) -> dict[str, object]: + raise RuntimeError("secret-operation") + + payload: Final = NewMCPServerRequest(server_name="unknown", url="https://example.com", auth_type=MCPAuth.none) + result: Final = await rest_endpoints._execute_with_mcp_client(payload, failing_operation) + + assert result["error"] is True + assert result["status"] == "error" + assert "reference" in result["message"] + assert "secret" not in result["message"] + assert "stack_trace" not in result class TestGetServerAuthHeaderGroupDefault: diff --git a/tests/test_litellm/proxy/agent_endpoints/test_a2a_endpoints.py b/tests/test_litellm/proxy/agent_endpoints/test_a2a_endpoints.py index 43034f889f6..e0476361074 100644 --- a/tests/test_litellm/proxy/agent_endpoints/test_a2a_endpoints.py +++ b/tests/test_litellm/proxy/agent_endpoints/test_a2a_endpoints.py @@ -7,11 +7,24 @@ Tests that invoke_agent_a2a properly integrates with add_litellm_data_to_request import json import socket import sys -from contextlib import ExitStack +from collections.abc import Awaitable, Callable, Mapping +from contextlib import AbstractContextManager, ExitStack +from dataclasses import dataclass +from typing import Final from unittest.mock import AsyncMock, MagicMock, patch import pytest +from litellm.proxy._types import UserAPIKeyAuth + +AddLiteLLMData = Callable[..., Awaitable[dict[str, object]]] + + +@dataclass(frozen=True, slots=True) +class CapturedAgentCall: + request_id: object + agent_extra_headers: dict[str, str] | None + @pytest.mark.asyncio async def test_invoke_agent_a2a_adds_litellm_data(): @@ -364,7 +377,7 @@ def _make_agent_mock(url: str = "http://backend-agent:10001") -> MagicMock: def _make_request_mock( - method: str, params: dict, request_id: object = "req-1" + method: str, params: Mapping[str, object], request_id: object = "req-1" ) -> MagicMock: req = MagicMock() req.headers = {} @@ -379,7 +392,9 @@ def _make_request_mock( return req -def _base_patches(agent: MagicMock): +def _base_patches( + agent: MagicMock, add_litellm_data: AddLiteLLMData | None = None +) -> list[AbstractContextManager[object]]: return [ patch( "litellm.proxy.agent_endpoints.a2a_endpoints._get_agent", @@ -391,7 +406,7 @@ def _base_patches(agent: MagicMock): ), patch( "litellm.proxy.common_request_processing.add_litellm_data_to_request", - new=AsyncMock(side_effect=_add_proxy_data), + new=AsyncMock(side_effect=add_litellm_data or _add_proxy_data), ), patch("litellm.proxy.proxy_server.general_settings", {}), patch("litellm.proxy.proxy_server.proxy_config", MagicMock()), @@ -399,84 +414,67 @@ def _base_patches(agent: MagicMock): ] -async def _add_proxy_data(data, **kwargs): - data["proxy_server_request"] = { - "url": "http://localhost:4000", - "method": "POST", - "headers": {}, - "body": {}, +async def _add_proxy_data(data: dict[str, object], **kwargs: object) -> dict[str, object]: + return { + **data, + "proxy_server_request": {"url": "http://localhost:4000", "method": "POST", "headers": {}, "body": {}}, + "metadata": data.get("metadata", {}), } - data.setdefault("metadata", {}) - return data -@pytest.mark.asyncio -@pytest.mark.parametrize("method", ["message/send", "message/stream"]) -async def test_message_methods_preserve_numeric_zero_request_id(method: str): +_HELLO_MESSAGE_PARAMS = { + "message": { + "role": "user", + "parts": [{"kind": "text", "text": "Hello"}], + "messageId": "msg-123", + } +} + + +async def _invoke_message_method( + method: str, + mock_request: MagicMock, + user_api_key_dict: UserAPIKeyAuth, + add_litellm_data: AddLiteLLMData | None = None, +) -> CapturedAgentCall: from fastapi.responses import JSONResponse - from litellm.proxy._types import UserAPIKeyAuth class MessageSendParams: - def __init__(self, **kwargs): + def __init__(self, **kwargs: object) -> None: self.__dict__.update(kwargs) class SendMessageRequest: - def __init__(self, **kwargs): + def __init__(self, **kwargs: object) -> None: self.__dict__.update(kwargs) - agent = _make_agent_mock() - params = { - "message": { - "role": "user", - "parts": [{"kind": "text", "text": "Hello"}], - "messageId": "msg-123", - } - } - mock_request = _make_request_mock(method, params, request_id=0) - user_api_key_dict = UserAPIKeyAuth(api_key="sk-test", user_id="u1", team_id="t1") - captured = {} - - async def capture_asend_message(request, **kwargs): - captured["request_id"] = request.id - response = MagicMock() + async def fake_asend_message(request: SendMessageRequest, **kwargs: object) -> MagicMock: + response: Final = MagicMock() response.model_dump.return_value = { "jsonrpc": "2.0", - "id": request.id, + "id": request.__dict__["id"], "result": {"status": "success"}, } return response - async def capture_stream_message(**kwargs): - captured["request_id"] = kwargs["request_id"] - return JSONResponse({"jsonrpc": "2.0", "id": kwargs["request_id"]}) + async def fake_stream_message(request_id: object, **kwargs: object) -> JSONResponse: + return JSONResponse({"jsonrpc": "2.0", "id": request_id}) - mock_a2a_types = MagicMock() + mock_a2a_types: Final = MagicMock() mock_a2a_types.MessageSendParams = MessageSendParams mock_a2a_types.SendMessageRequest = SendMessageRequest + is_send: Final = method == "message/send" + downstream: Final = AsyncMock(side_effect=fake_asend_message if is_send else fake_stream_message) with ExitStack() as stack: - for p in _base_patches(agent): + for p in _base_patches(_make_agent_mock(), add_litellm_data): stack.enter_context(p) stack.enter_context(patch("litellm.a2a_protocol.main.A2A_SDK_AVAILABLE", True)) - if method == "message/send": - stack.enter_context( - patch.dict( - sys.modules, - {"a2a": MagicMock(), "a2a.types": mock_a2a_types}, - ) - ) - stack.enter_context( - patch( - "litellm.a2a_protocol.asend_message", - new=AsyncMock(side_effect=capture_asend_message), - ) - ) + if is_send: + stack.enter_context(patch.dict(sys.modules, {"a2a": MagicMock(), "a2a.types": mock_a2a_types})) + stack.enter_context(patch("litellm.a2a_protocol.asend_message", new=downstream)) else: stack.enter_context( - patch( - "litellm.proxy.agent_endpoints.a2a_endpoints._handle_stream_message", - new=AsyncMock(side_effect=capture_stream_message), - ) + patch("litellm.proxy.agent_endpoints.a2a_endpoints._handle_stream_message", new=downstream) ) from litellm.proxy.agent_endpoints.a2a_endpoints import invoke_agent_a2a @@ -488,7 +486,82 @@ async def test_message_methods_preserve_numeric_zero_request_id(method: str): user_api_key_dict=user_api_key_dict, ) - assert captured["request_id"] == 0 + kwargs: Final = downstream.call_args.kwargs + request_id: Final = kwargs["request"].__dict__["id"] if is_send else kwargs["request_id"] + return CapturedAgentCall(request_id=request_id, agent_extra_headers=kwargs.get("agent_extra_headers")) + + +@pytest.mark.asyncio +@pytest.mark.parametrize("method", ["message/send", "message/stream"]) +async def test_message_methods_preserve_numeric_zero_request_id(method: str): + mock_request = _make_request_mock(method, _HELLO_MESSAGE_PARAMS, request_id=0) + user_api_key_dict = UserAPIKeyAuth(api_key="sk-test", user_id="u1", team_id="t1") + + captured = await _invoke_message_method(method, mock_request, user_api_key_dict) + + assert captured.request_id == 0 + + +@pytest.mark.asyncio +@pytest.mark.parametrize("method", ["message/send", "message/stream"]) +async def test_message_methods_forward_caller_identity_headers(method: str): + mock_request = _make_request_mock(method, _HELLO_MESSAGE_PARAMS) + user_api_key_dict = UserAPIKeyAuth(api_key="sk-test", user_id="user-abc", team_id="team-xyz") + + captured = await _invoke_message_method(method, mock_request, user_api_key_dict) + + forwarded_headers = captured.agent_extra_headers or {} + assert forwarded_headers.get("X-LiteLLM-User-Id") == "user-abc" + assert forwarded_headers.get("X-LiteLLM-Team-Id") == "team-xyz" + + +@pytest.mark.asyncio +@pytest.mark.parametrize("method", ["message/send", "message/stream"]) +async def test_message_methods_caller_identity_headers_cannot_be_spoofed(method: str): + mock_request = _make_request_mock(method, _HELLO_MESSAGE_PARAMS) + mock_request.headers = { + "x-a2a-test-agent-x-litellm-user-id": "attacker-user", + "x-a2a-test-agent-x-litellm-team-id": "attacker-team", + } + user_api_key_dict = UserAPIKeyAuth(api_key="sk-test", user_id="real-user", team_id="real-team") + + captured = await _invoke_message_method(method, mock_request, user_api_key_dict) + + forwarded_headers = captured.agent_extra_headers or {} + assert ( + forwarded_headers.get("X-LiteLLM-User-Id") == "real-user" + ), "authenticated user id must not be overridden by forwarded client headers" + assert ( + forwarded_headers.get("X-LiteLLM-Team-Id") == "real-team" + ), "authenticated team id must not be overridden by forwarded client headers" + + +@pytest.mark.asyncio +@pytest.mark.parametrize("method", ["message/send", "message/stream"]) +async def test_message_methods_forward_key_bound_identity_not_pre_call_rewrite(method: str): + from litellm.proxy.litellm_pre_call_utils import LiteLLMProxyRequestSetup + + mock_request = _make_request_mock(method, _HELLO_MESSAGE_PARAMS) + mock_request.headers = {"X-OpenWebUI-User-Id": "header-mapped-user"} + user_api_key_dict = UserAPIKeyAuth(api_key="sk-test", user_id="key-user", team_id="key-team") + general_settings: Final = { + "user_header_mappings": [{"header_name": "X-OpenWebUI-User-Id", "litellm_user_role": "internal_user"}] + } + + async def apply_user_header_mapping(data: dict[str, object], **kwargs: object) -> dict[str, object]: + LiteLLMProxyRequestSetup.add_internal_user_from_user_mapping( + general_settings, user_api_key_dict, dict(mock_request.headers) + ) + return await _add_proxy_data(data, **kwargs) + + captured = await _invoke_message_method( + method, mock_request, user_api_key_dict, add_litellm_data=apply_user_header_mapping + ) + + assert user_api_key_dict.user_id == "header-mapped-user", "precondition: pre-call rewrite ran" + forwarded_headers = captured.agent_extra_headers or {} + assert forwarded_headers.get("X-LiteLLM-User-Id") == "key-user" + assert forwarded_headers.get("X-LiteLLM-Team-Id") == "key-team" @pytest.mark.asyncio diff --git a/tests/test_litellm/proxy/agent_endpoints/test_agent_headers.py b/tests/test_litellm/proxy/agent_endpoints/test_agent_headers.py index 15864417489..e894f4ad69a 100644 --- a/tests/test_litellm/proxy/agent_endpoints/test_agent_headers.py +++ b/tests/test_litellm/proxy/agent_endpoints/test_agent_headers.py @@ -223,7 +223,7 @@ async def test_static_overrides_dynamic(): @pytest.mark.asyncio async def test_no_headers(): - """When no headers are configured, agent_extra_headers is None and behaviour is unchanged.""" + """When no headers are configured, only the caller identity is forwarded.""" mock_agent = _make_mock_agent() # no static_headers or extra_headers mock_request = _make_mock_request() @@ -231,7 +231,7 @@ async def test_no_headers(): call_kwargs = mock_asend.call_args.kwargs headers = call_kwargs.get("agent_extra_headers") - assert headers is None + assert headers == {"X-LiteLLM-User-Id": "u1"} # --------------------------------------------------------------------------- @@ -303,7 +303,7 @@ async def test_convention_unrelated_prefix_not_forwarded(): mock_asend = await _invoke(mock_agent, mock_request, None) headers = mock_asend.call_args.kwargs.get("agent_extra_headers") - assert headers is None + assert headers == {"X-LiteLLM-User-Id": "u1"} # --------------------------------------------------------------------------- @@ -393,7 +393,7 @@ async def test_non_databricks_agent_skips_oauth_resolution(): mock_resolve.assert_not_called() headers = mock_asend.call_args.kwargs.get("agent_extra_headers") - assert headers == {"x-custom": "v"} + assert headers == {"x-custom": "v", "X-LiteLLM-User-Id": "u1"} assert "Authorization" not in headers @@ -477,7 +477,7 @@ async def test_convention_header_blocked_by_case_variant_static(): headers = mock_asend.call_args.kwargs.get("agent_extra_headers") assert headers is not None - assert headers == {"Authorization": "Bearer admin-token"} + assert headers == {"Authorization": "Bearer admin-token", "X-LiteLLM-User-Id": "u1"} assert "authorization" not in headers diff --git a/tests/test_litellm/proxy/auth/test_auth_checks.py b/tests/test_litellm/proxy/auth/test_auth_checks.py index 2284a05b2e9..5bfef2b6445 100644 --- a/tests/test_litellm/proxy/auth/test_auth_checks.py +++ b/tests/test_litellm/proxy/auth/test_auth_checks.py @@ -2374,6 +2374,44 @@ def _mock_prisma_for_team_lookup(find_unique): return mock_prisma_client +_TEAM_ALIAS_TABLE_ROW = {"id": 1, "model_aliases": '{"fast": "gpt-4o"}', "created_by": "admin", "updated_by": "admin"} + + +def _prisma_team_row(include): + """Mimics Prisma: the `litellm_model_table` relation rides on the row only when the query `include`s it.""" + columns = {"team_id": "team-aliases", "team_alias": "aliases", "models": ["gpt-4o"]} + row = ( + {**columns, "litellm_model_table": _TEAM_ALIAS_TABLE_ROW} + if (include or {}).get("litellm_model_table") + else columns + ) + return SimpleNamespace(dict=lambda: row, model_dump=lambda: row) + + +@pytest.mark.asyncio +async def test_get_team_object_loads_model_aliases_relation(): + """LIT-5858: the auth path read teams without `include`ing `litellm_model_table`, so every JWT + team came back with `model_aliases=None` and alias requests 403'd.""" + from litellm.proxy.auth.auth_checks import get_team_object + from litellm.proxy.auth.team_grants import team_model_aliases + + async def find_unique(where, include=None): + return _prisma_team_row(include) + + mock_cache = MagicMock() + mock_cache.async_get_cache = AsyncMock(return_value=None) + mock_cache.async_set_cache = AsyncMock() + + team = await get_team_object( + team_id="team-aliases", + prisma_client=_mock_prisma_for_team_lookup(AsyncMock(side_effect=find_unique)), + user_api_key_cache=mock_cache, + check_db_only=True, + ) + + assert team_model_aliases(team) == {"fast": "gpt-4o"} + + @pytest.mark.asyncio async def test_get_team_object_distinguishes_absent_team_from_unreadable_row(): """A deleted team and a database that would not answer both surface as a 404, @@ -6195,6 +6233,32 @@ async def test_get_team_object_by_alias_db_fetch_returns_cached_obj(): assert result.models == ["gpt-4"] +@pytest.mark.asyncio +async def test_get_team_object_by_alias_loads_model_aliases_relation(): + """LIT-5858: same regression as `test_get_team_object_loads_model_aliases_relation`, for the + `team_alias_jwt_field` lookup.""" + from litellm.proxy.auth.auth_checks import get_team_object_by_alias + from litellm.proxy.auth.team_grants import team_model_aliases + + async def find_many(where, include=None): + return [_prisma_team_row(include)] + + mock_prisma_client = MagicMock() + mock_prisma_client.db.litellm_teamtable.find_many = AsyncMock(side_effect=find_many) + + mock_cache = MagicMock() + mock_cache.async_get_cache = AsyncMock(return_value=None) + mock_cache.async_set_cache = AsyncMock() + + team = await get_team_object_by_alias( + team_alias="aliases", + prisma_client=mock_prisma_client, + user_api_key_cache=mock_cache, + ) + + assert team_model_aliases(team) == {"fast": "gpt-4o"} + + @pytest.mark.asyncio async def test_get_org_object_by_alias_db_fetch_returns_validated_org(): from litellm.proxy._types import LiteLLM_OrganizationTable diff --git a/tests/test_litellm/proxy/auth/test_handle_jwt.py b/tests/test_litellm/proxy/auth/test_handle_jwt.py index 99a0a4c0a8b..94226b5404d 100644 --- a/tests/test_litellm/proxy/auth/test_handle_jwt.py +++ b/tests/test_litellm/proxy/auth/test_handle_jwt.py @@ -13,6 +13,7 @@ from litellm.proxy._types import ( DEFAULT_JWKS_STALE_TTL, JWTLiteLLMRoleMap, LiteLLM_JWTAuth, + LiteLLM_ModelTable, LiteLLM_TeamMembership, LiteLLM_TeamTable, LiteLLM_UserTable, @@ -1255,6 +1256,57 @@ async def test_find_team_with_model_access_model_group(monkeypatch): assert team_obj.team_id == "team-1" +@pytest.mark.asyncio +@pytest.mark.parametrize( + "model_aliases", + ['{"fast": "gpt-4o"}', {"fast": "gpt-4o"}], + ids=["json-string", "dict"], +) +async def test_find_team_with_model_access_resolves_team_model_alias(monkeypatch, model_aliases): + """LIT-5858: a JWT team that grants `gpt-4o` under the alias `fast` must resolve a request + for `fast`. The JWT path used to pass `team_model_aliases=None`, so every alias request 403'd.""" + import sys + import types + + from litellm.caching import DualCache + from litellm.proxy.utils import ProxyLogging + from litellm.router import Router + + router = Router(model_list=[{"model_name": "gpt-4o", "litellm_params": {"model": "gpt-4o"}}]) + proxy_server_module = types.ModuleType("proxy_server") + proxy_server_module.llm_router = router + monkeypatch.setitem(sys.modules, "litellm.proxy.proxy_server", proxy_server_module) + + team = LiteLLM_TeamTable( + team_id="team-aliases", + models=["gpt-4o"], + litellm_model_table=LiteLLM_ModelTable(model_aliases=model_aliases, created_by="admin", updated_by="admin"), + ) + + async def mock_get_team_object(*args, **kwargs): + return team + + monkeypatch.setattr("litellm.proxy.auth.handle_jwt.get_team_object", mock_get_team_object) + + jwt_handler = JWTHandler() + jwt_handler.litellm_jwtauth = LiteLLM_JWTAuth() + user_api_key_cache = DualCache() + + team_id, team_obj = await JWTAuthManager.find_team_with_model_access( + team_ids={"team-aliases"}, + requested_model="fast", + route="/chat/completions", + jwt_handler=jwt_handler, + prisma_client=None, + user_api_key_cache=user_api_key_cache, + parent_otel_span=None, + proxy_logging_obj=ProxyLogging(user_api_key_cache=user_api_key_cache), + ) + + assert team_id == "team-aliases" + assert team_obj is team + + @pytest.mark.asyncio async def test_find_team_with_model_access_v1_messages_default_routes(monkeypatch): """Regression for #31189: a single-team JWT that grants the requested model diff --git a/tests/test_litellm/proxy/auth/test_route_checks.py b/tests/test_litellm/proxy/auth/test_route_checks.py index 5b15d4a7d5e..0fd19f518d9 100644 --- a/tests/test_litellm/proxy/auth/test_route_checks.py +++ b/tests/test_litellm/proxy/auth/test_route_checks.py @@ -3638,3 +3638,191 @@ def test_agent_registry_route_gate_open_to_non_admin_roles(user_role, method, ro valid_token=valid_token, request_data={}, ) +TEAM_CALLBACK_ROUTES = ( + "/team/06bda574-5ca9-43d3-beb8-3b23c2f17112/callback", + "/team/06bda574-5ca9-43d3-beb8-3b23c2f17112/callback/langfuse", + # the routes register team_id with the :path converter, so a team id may + # contain a slash + "/team/tenant/06bda574/callback", + "/team/tenant/06bda574/callback/langfuse", + # team_id is a free-form string, so it may also contain a colon + "/team/tenant:06bda574/callback", + "/team/tenant:06bda574/callback/langfuse", + # or both, which is the shape neither a "[^:]+" nor a "[^/]+" expansion + # of the placeholder reaches on its own + "/team/tenant:acme/prod/callback", + "/team/tenant:acme/prod/callback/langfuse", +) + + +def _gate(route, role) -> str: + """Drive the real route gate for a non-proxy-admin caller. + + Reports "allowed" when the gate lets the request through to its handler, and + the denial message otherwise, so a caller asserts the verdict as a value + instead of on whether an exception escaped. + """ + user_obj = LiteLLM_UserTable( + user_id="team_admin_user", + user_email="team-admin@example.com", + user_role=role, + ) + request = MagicMock(spec=Request) + request.query_params = {} + try: + RouteChecks.non_proxy_admin_allowed_routes_check( + user_obj=user_obj, + _user_role=role, + route=route, + request=request, + valid_token=UserAPIKeyAuth(user_id="team_admin_user", user_role=role), + request_data={}, + ) + except Exception as exc: + return f"denied: {exc}" + return "allowed" + + +def test_team_callback_routes_are_self_managed(): + """The grant has to come from self_managed_routes specifically. + + That list is the one whose entries carry no role predicate, so the handler + decides. Granting the same paths through internal_user_routes instead would + look identical for an internal_user while silently denying the org admins and + view-only roles that list does not cover. + """ + for template in ( + "/team/{team_id:path}/callback", + "/team/{team_id:path}/callback/{callback_name}", + ): + assert template in LiteLLMRoutes.self_managed_routes.value + + +@pytest.mark.parametrize("route", TEAM_CALLBACK_ROUTES) +@pytest.mark.parametrize( + "role", + [ + LitellmUserRoles.INTERNAL_USER.value, + LitellmUserRoles.INTERNAL_USER_VIEW_ONLY.value, + LitellmUserRoles.ORG_ADMIN.value, + ], +) +def test_team_callback_routes_reach_their_handler_for_non_admins(route, role): + """A team admin manages their own team's logging callbacks, so the route gate + must let a non-proxy-admin through to the handler. + + The handler is what authorizes: every team callback endpoint calls + _verify_team_access, which admits only a proxy admin, an org admin for the + team, or an admin of that team, and 403s everyone else. Before this, the gate + rejected the team admin with a 401 naming proxy admin, so the handler's own + check was unreachable for them. + """ + assert _gate(route, role) == "allowed" + + +@pytest.mark.parametrize( + "pattern, route, matches", + [ + # a :path placeholder takes what the router's path converter takes + ("/team/{team_id:path}/callback", "/team/plain/callback", True), + ("/team/{team_id:path}/callback", "/team/tenant/acme/callback", True), + ("/team/{team_id:path}/callback", "/team/tenant:acme/callback", True), + ("/team/{team_id:path}/callback", "/team/tenant:acme/prod/callback", True), + # and still has to reach the template's own suffix + ("/team/{team_id:path}/callback", "/team/tenant:acme/disable_logging", False), + # a template with a ":" literal after the placeholder keeps the suffix + ( + "/v1beta/models/{model_name:path}:generateContent", + "/v1beta/models/gemini-2.5-flash:generateContent", + True, + ), + ( + "/v1beta/models/{model_name:path}:generateContent", + "/v1beta/models/publishers/google/gemini-2.5-flash:generateContent", + True, + ), + # the value must not swallow that suffix and match a different verb + ( + "/v1beta/models/{model_name:path}:generateContent", + "/v1beta/models/gemini-2.5-flash:countTokens", + False, + ), + # a %0A in the value reaches the handler through the path converter, so + # the gate has to see it too or DISABLE_ADMIN_ENDPOINTS is bypassable + ("/v1/mcp/server/{path:path}", "/v1/mcp/server/abc\ndef", True), + ("/team/{team_id:path}/callback", "/team/ten\nant/callback", True), + ("/v1beta/models/{model_name:path}:generateContent", "/v1beta/models/gem\nini:generateContent", True), + # an ordinary placeholder stays one segment + ("/team/{team_id}/members/me", "/team/abc/members/me", True), + ("/team/{team_id}/members/me", "/team/tenant/abc/members/me", False), + ("/team/{team_id}/members/me", "/team/ab\nc/members/me", True), + ], +) +def test_path_placeholder_matches_what_the_router_accepts(pattern, route, matches): + """The gate's placeholder expansion has to agree with the router's. + + A team id may carry a slash, a colon, or both, and the router mounted these + paths with the same :path converter, so an id the router routes must not be + an id the gate fails to recognize. The one narrowing that stays is a template + whose own suffix begins with a colon: there the value stops before it, or + ":generateContent" would also match a ":countTokens" request. + """ + assert RouteChecks._route_matches_pattern(route=route, pattern=pattern) is matches + + +# Every other route the proxy mounts under /team/{team_id}, spelled the way it +# is registered. None of them takes a path converter, so none can be reached by +# a URL that ends in the callback suffix. +PROTECTED_TEAM_ROUTES = ( + "/team/06bda574-5ca9-43d3-beb8-3b23c2f17112", + "/team/06bda574-5ca9-43d3-beb8-3b23c2f17112/disable_logging", + "/team/06bda574-5ca9-43d3-beb8-3b23c2f17112/members/me", + "/team/06bda574-5ca9-43d3-beb8-3b23c2f17112/member/u-1/reset_spend", + # the same routes with the callback suffix spliced in, which is the shape a + # caller would craft to make a protected route look self-managed + "/team/06bda574/callback/disable_logging/x", + "/team/06bda574/callback/member/u-1/reset_spend", + "/team/06bda574/callback/members/me", +) + + +@pytest.mark.parametrize("route", PROTECTED_TEAM_ROUTES) +def test_the_callback_grant_does_not_reach_another_team_route(route): + """Widening the callback templates must not hand out any neighbouring route. + + The grant is two templates ending in the callback suffix. Every other team + route registers an ordinary single-segment placeholder, so no URL the router + sends to one of them can end in "/callback" or "/callback/" -- and the + gate must agree, or a crafted team id would carry a caller into a handler + the grant never covered. + """ + for template in ( + "/team/{team_id:path}/callback", + "/team/{team_id:path}/callback/{callback_name}", + ): + assert RouteChecks._route_matches_pattern(route=route, pattern=template) is False + + +def test_team_disable_logging_stays_proxy_admin_only(): + """disable_logging was left out of the grant, so it must still be rejected at + the gate. It is the one team callback route a team admin cannot reach.""" + verdict = _gate( + "/team/06bda574-5ca9-43d3-beb8-3b23c2f17112/disable_logging", + LitellmUserRoles.INTERNAL_USER.value, + ) + + assert "Only proxy admin" in verdict + assert "disable_logging" in verdict + + +@pytest.mark.parametrize( + "route", + [ + "/team/06bda574-5ca9-43d3-beb8-3b23c2f17112", + "/team/update", + "/team/06bda574-5ca9-43d3-beb8-3b23c2f17112/model/add", + ], +) +def test_neighbouring_team_routes_stay_closed(route): + """The grant is the callback paths and nothing else on the team namespace.""" + assert "Only proxy admin" in _gate(route, LitellmUserRoles.INTERNAL_USER.value) diff --git a/tests/test_litellm/proxy/auth/test_team_grants.py b/tests/test_litellm/proxy/auth/test_team_grants.py new file mode 100644 index 00000000000..447fc1c93a1 --- /dev/null +++ b/tests/test_litellm/proxy/auth/test_team_grants.py @@ -0,0 +1,129 @@ +import pytest + +from litellm.proxy._types import ( + LiteLLM_BudgetTable, + LiteLLM_ObjectPermissionTable, + LiteLLM_TeamMembership, + LiteLLM_TeamTable, + LiteLLM_VerificationTokenView, + Member, + UserAPIKeyAuth, +) +from litellm.models.team import LiteLLM_ModelTable +from litellm.proxy.auth.team_grants import team_grants, team_model_aliases + +TEAM_ID = "team-grants" +USER_ID = "user-in-team" +ALIASES = {"fast": "gpt-4o-mini", "smart": "gpt-4o"} + + +def _alias_table(model_aliases) -> LiteLLM_ModelTable: + return LiteLLM_ModelTable(model_aliases=model_aliases, created_by="admin", updated_by="admin") + + +def _full_team(model_aliases=ALIASES) -> LiteLLM_TeamTable: + return LiteLLM_TeamTable( + team_id=TEAM_ID, + team_alias="grants-team", + tpm_limit=1000, + rpm_limit=10, + max_budget=50.0, + soft_budget=25.0, + spend=12.5, + models=["gpt-4o", "gpt-4o-mini"], + blocked=True, + metadata={"tier": "gold"}, + litellm_model_table=_alias_table(model_aliases), + object_permission_id="op-1", + object_permission=LiteLLM_ObjectPermissionTable(object_permission_id="op-1", mcp_servers=["mcp-a"]), + members_with_roles=[ + Member(user_id="someone-else", role="user"), + Member(user_id=USER_ID, role="admin"), + ], + ) + + +def _membership() -> LiteLLM_TeamMembership: + return LiteLLM_TeamMembership( + user_id=USER_ID, + team_id=TEAM_ID, + spend=3.25, + litellm_budget_table=LiteLLM_BudgetTable(tpm_limit=500, rpm_limit=5), + ) + + +def test_team_grants_cover_every_team_field_the_key_path_gets(): + """Class guard for LIT-5858 and its siblings: every ``team_*`` column the combined-view SQL hands the + virtual-key path must come out of the projection too, with the team's actual value, so adding a column + to ``LiteLLM_VerificationTokenView`` without teaching ``team_grants`` fails here instead of in prod.""" + team = _full_team() + grants = team_grants(team_object=team, team_membership=_membership(), user_id=USER_ID) + token = UserAPIKeyAuth(team_id=TEAM_ID, **grants) + + view_team_fields = {name for name in LiteLLM_VerificationTokenView.model_fields if name.startswith("team_")} + assert view_team_fields - {"team_id"} <= set(grants) + assert all(grants[name] is not None for name in view_team_fields - {"team_id"}) + + assert token.team_alias == "grants-team" + assert token.team_tpm_limit == 1000 + assert token.team_rpm_limit == 10 + assert token.team_max_budget == 50.0 + assert token.team_soft_budget == 25.0 + assert token.team_spend == 12.5 + assert token.team_models == ["gpt-4o", "gpt-4o-mini"] + assert token.team_blocked is True + assert token.team_metadata == {"tier": "gold"} + assert token.team_model_aliases == ALIASES + assert token.team_object_permission_id == "op-1" + assert token.team_object_permission is not None + assert token.team_object_permission.mcp_servers == ["mcp-a"] + assert token.team_member == Member(user_id=USER_ID, role="admin") + assert token.team_member_spend == 3.25 + assert token.team_member_tpm_limit == 500 + assert token.team_member_rpm_limit == 5 + + +def test_team_grants_without_team_leave_token_defaults(): + token = UserAPIKeyAuth(**team_grants(team_object=None, team_membership=None, user_id=USER_ID)) + assert token == UserAPIKeyAuth() + + +@pytest.mark.parametrize( + "stored_aliases", + [ALIASES, '{"fast": "gpt-4o-mini", "smart": "gpt-4o"}'], + ids=["json-object", "json-string-as-written-by-team-new"], +) +def test_team_model_aliases_decode_both_storage_shapes(stored_aliases): + team = _full_team(model_aliases=stored_aliases) + assert team_model_aliases(team) == ALIASES + assert team_grants(team_object=team, team_membership=None, user_id=None)["team_model_aliases"] == ALIASES + + +@pytest.mark.parametrize("stored_aliases", [None, "not json", '["a", "b"]', {"fast": 3}], ids=str) +def test_team_model_aliases_treat_unusable_column_as_no_aliases(stored_aliases): + team = _full_team(model_aliases=stored_aliases) + assert team_model_aliases(team) is None + assert team_grants(team_object=team, team_membership=None, user_id=None)["team_model_aliases"] is None + + +def test_team_model_aliases_none_without_relation_loaded(): + team = _full_team() + team.litellm_model_table = None + assert team_model_aliases(team) is None + assert team_model_aliases(None) is None + + +def test_team_member_is_the_callers_row_only(): + team = _full_team() + assert team_grants(team_object=team, team_membership=None, user_id="someone-else")["team_member"] == Member( + user_id="someone-else", role="user" + ) + assert team_grants(team_object=team, team_membership=None, user_id="stranger")["team_member"] is None + assert team_grants(team_object=team, team_membership=None, user_id=None)["team_member"] is None + + +def test_membership_limits_absent_without_membership_row(): + grants = team_grants(team_object=_full_team(), team_membership=None, user_id=USER_ID) + assert grants["team_member_spend"] is None + assert grants["team_member_tpm_limit"] is None + assert grants["team_member_rpm_limit"] is None diff --git a/tests/test_litellm/proxy/auth/test_user_api_key_auth.py b/tests/test_litellm/proxy/auth/test_user_api_key_auth.py index f1a269cc00a..8e6c41761cc 100644 --- a/tests/test_litellm/proxy/auth/test_user_api_key_auth.py +++ b/tests/test_litellm/proxy/auth/test_user_api_key_auth.py @@ -1,8 +1,13 @@ import asyncio import json import logging +import os +import subprocess +import sys from contextlib import contextmanager from datetime import datetime, timedelta +from pathlib import Path +from textwrap import dedent from types import SimpleNamespace from unittest.mock import ANY, AsyncMock, MagicMock, patch @@ -7005,3 +7010,242 @@ class TestLitellmReceivedAtStamping: assert result == earlier assert request.state.litellm_received_at == earlier + + +_RECORDING_DDTRACE = dedent( + ''' + import functools + import inspect + + + class _Span: + def __enter__(self): + return self + + def __exit__(self, *exc): + return None + + + class _Tracer: + def __init__(self): + self.spans = [] + + def wrap(self, name=None, **kwargs): + def decorator(f): + span_name = name or f"{f.__module__}.{f.__name__}" + if inspect.iscoroutinefunction(f): + + @functools.wraps(f) + async def async_wrapped(*args, **kw): + self.spans.append(span_name) + return await f(*args, **kw) + + return async_wrapped + + @functools.wraps(f) + def wrapped(*args, **kw): + self.spans.append(span_name) + return f(*args, **kw) + + return wrapped + + return decorator + + def trace(self, name, **kwargs): + return _Span() + + def current_span(self): + return None + + def current_root_span(self): + return None + + + tracer = _Tracer() + ''' +) + +_DDTRACE_AUTH_PROBE = dedent( + ''' + import asyncio + import json + + import ddtrace + from fastapi import Request + from starlette.datastructures import URL + + import litellm.proxy.proxy_server as proxy_server + from litellm.proxy._types import ProxyException + from litellm.proxy.auth.user_api_key_auth import user_api_key_auth + + proxy_server.master_key = "sk-probe" + + + async def auth(api_key): + request = Request(scope={"type": "http", "headers": [], "method": "POST", "path": "/chat/completions"}) + request._url = URL(url="/chat/completions") + try: + await user_api_key_auth( + request=request, + api_key=api_key, + azure_api_key_header="", + anthropic_api_key_header=None, + google_ai_studio_api_key_header=None, + azure_apim_header=None, + custom_litellm_key_header=None, + ) + return "accepted" + except ProxyException: + return "rejected" + + + async def main(): + outcomes = [await auth("Bearer sk-probe"), await auth("Bearer sk-wrong")] + print(json.dumps({"outcomes": outcomes, "spans": ddtrace.tracer.spans})) + + + asyncio.run(main()) + ''' +) + + +def test_user_api_key_auth_opens_a_datadog_span_for_accepted_and_rejected_keys(tmp_path: Path): + stub_root = tmp_path / "site" + (stub_root / "ddtrace").mkdir(parents=True) + (stub_root / "ddtrace" / "__init__.py").write_text(_RECORDING_DDTRACE) + probe = tmp_path / "probe.py" + probe.write_text(_DDTRACE_AUTH_PROBE) + repo_root = Path(litellm.__file__).resolve().parent.parent + env = { + **os.environ, + "USE_DDTRACE": "true", + "PYTHONPATH": os.pathsep.join( + [str(stub_root), str(repo_root)] + [p for p in (os.environ.get("PYTHONPATH"),) if p] + ), + } + + result = subprocess.run( + [sys.executable, str(probe)], env=env, cwd=repo_root, capture_output=True, text=True, check=False + ) + + assert result.returncode == 0, result.stderr[-4000:] + report = json.loads(result.stdout.strip().splitlines()[-1]) + assert report["outcomes"] == ["accepted", "rejected"] + auth_span = "litellm.proxy.auth.user_api_key_auth.user_api_key_auth" + assert [span for span in report["spans"] if span == auth_span] == [auth_span, auth_span] + + +@pytest.mark.asyncio +@pytest.mark.parametrize("is_proxy_admin", [False, True], ids=["standard-return", "proxy-admin-return"]) +async def test_jwt_builder_returns_every_team_grant_the_key_path_gets(is_proxy_admin): + """LIT-5858: the team-based JWT path hand-built ``UserAPIKeyAuth`` from a short list of team fields, so the + team's model aliases (and on the admin return, its object permission) never reached the token and alias + requests 403'd. Both returns now go through ``team_grants``; pin the fields that used to be dropped.""" + import litellm.proxy.proxy_server as _proxy_server_mod + from fastapi import Request + from starlette.datastructures import URL + + from litellm.models.team import LiteLLM_ModelTable + from litellm.proxy._types import ( + LiteLLM_ObjectPermissionTable, + LiteLLM_TeamMembership, + LiteLLM_TeamTable, + Member, + ) + + class _AcceptEveryJwt(JWTHandler): + def is_jwt(self, token: str) -> bool: + return True + + jwt_handler = _AcceptEveryJwt() + jwt_handler.litellm_jwtauth = LiteLLM_JWTAuth() + + team = LiteLLM_TeamTable( + team_id="team-jwt-aliases", + team_alias="jwt-aliases", + models=["gpt-4o"], + max_budget=40.0, + spend=4.0, + blocked=False, + metadata={"tier": "gold"}, + litellm_model_table=LiteLLM_ModelTable( + model_aliases='{"fast": "gpt-4o"}', created_by="admin", updated_by="admin" + ), + object_permission_id="op-jwt", + object_permission=LiteLLM_ObjectPermissionTable(object_permission_id="op-jwt", mcp_servers=["mcp-a"]), + members_with_roles=[Member(user_id="jwt-user", role="admin")], + ) + membership = LiteLLM_TeamMembership(user_id="jwt-user", team_id="team-jwt-aliases", spend=1.5) + builder_result = { + "is_proxy_admin": is_proxy_admin, + "team_object": team, + "user_object": None, + "end_user_object": None, + "org_object": None, + "token": "jwt", + "team_id": "team-jwt-aliases", + "user_id": "jwt-user", + "user_email": "jwt-user@example.com", + "end_user_id": None, + "org_id": None, + "team_membership": membership, + "jwt_claims": {"sub": "jwt-user"}, + } + + mock_proxy_logging_obj = MagicMock() + mock_proxy_logging_obj.internal_usage_cache = MagicMock() + mock_proxy_logging_obj.internal_usage_cache.dual_cache = AsyncMock() + mock_proxy_logging_obj.post_call_failure_hook = AsyncMock(return_value=None) + attrs = { + "prisma_client": MagicMock(), + "user_api_key_cache": DualCache(), + "proxy_logging_obj": mock_proxy_logging_obj, + "master_key": "sk-master-key", + "general_settings": {"enable_jwt_auth": True}, + "llm_model_list": [], + "llm_router": None, + "open_telemetry_logger": None, + "model_max_budget_limiter": MagicMock(), + "user_custom_auth": None, + "jwt_handler": jwt_handler, + "premium_user": True, + "litellm_proxy_admin_name": "admin", + } + originals = {a: getattr(_proxy_server_mod, a, None) for a in attrs} + try: + for k, v in attrs.items(): + setattr(_proxy_server_mod, k, v) + request = Request(scope={"type": "http", "headers": [], "method": "POST"}) + request._url = URL(url="/chat/completions") + with patch( # test-quality-ok: auth_builder is the claim-resolution seam; the regression is how its result is projected onto the token + "litellm.proxy.auth.user_api_key_auth.JWTAuthManager.auth_builder", + new_callable=AsyncMock, + return_value=builder_result, + ): + token = await _user_api_key_auth_builder( + request=request, + api_key="Bearer header.payload.signature", + azure_api_key_header="", + anthropic_api_key_header=None, + google_ai_studio_api_key_header=None, + azure_apim_header=None, + request_data={}, + ) + finally: + for k, v in originals.items(): + setattr(_proxy_server_mod, k, v) + + assert token.team_id == "team-jwt-aliases" + assert token.user_role == (LitellmUserRoles.PROXY_ADMIN if is_proxy_admin else LitellmUserRoles.INTERNAL_USER) + assert token.team_model_aliases == {"fast": "gpt-4o"} + assert token.team_object_permission is not None + assert token.team_object_permission.mcp_servers == ["mcp-a"] + assert token.team_object_permission_id == "op-jwt" + assert token.team_alias == "jwt-aliases" + assert token.team_models == ["gpt-4o"] + assert token.team_max_budget == 40.0 + assert token.team_spend == 4.0 + assert token.team_metadata == {"tier": "gold"} + assert token.team_member == Member(user_id="jwt-user", role="admin") + assert token.team_member_spend == 1.5 + assert token.jwt_claims == {"sub": "jwt-user"} diff --git a/tests/test_litellm/proxy/client/cli/test_global_options.py b/tests/test_litellm/proxy/client/cli/test_global_options.py index 0dd388919a5..b73d1acc6e3 100644 --- a/tests/test_litellm/proxy/client/cli/test_global_options.py +++ b/tests/test_litellm/proxy/client/cli/test_global_options.py @@ -7,8 +7,6 @@ from unittest.mock import Mock, patch import pytest from click.testing import CliRunner - - import litellm.proxy.client.cli from litellm._version import version as litellm_version from litellm.proxy.client.cli import cli diff --git a/tests/test_litellm/proxy/common_utils/test_callback_utils.py b/tests/test_litellm/proxy/common_utils/test_callback_utils.py index 66f77db6da9..ecb2375d495 100644 --- a/tests/test_litellm/proxy/common_utils/test_callback_utils.py +++ b/tests/test_litellm/proxy/common_utils/test_callback_utils.py @@ -1,30 +1,33 @@ import copy +import json import sys from types import ModuleType, SimpleNamespace +from typing import Final +from unittest.mock import patch import pytest - +import litellm +from litellm.caching.caching import DualCache +from litellm.constants import MAX_GUARDRAIL_SCAN_METADATA_HEADER_LENGTH +from litellm.integrations.custom_logger import CustomLogger +from litellm.proxy._types import UserAPIKeyAuth from litellm.proxy.common_utils.callback_utils import ( + _serialize_scan_metadata_header, add_guardrail_scan_id, add_policy_to_applied_policies_header, decrypt_callback_vars, encrypt_callback_vars, get_logging_caching_headers, - initialize_callbacks_on_proxy, get_remaining_tokens_and_requests_from_request_data, + initialize_callbacks_on_proxy, normalize_callback_names, + process_callback, sanitize_openai_provider_metadata, strip_callback_config, ) -import litellm -from litellm.caching.caching import DualCache -from litellm.integrations.custom_logger import CustomLogger -from litellm.proxy._types import UserAPIKeyAuth from litellm.proxy.utils import ProxyLogging - -from unittest.mock import patch -from litellm.proxy.common_utils.callback_utils import process_callback +from litellm.types.guardrails import GuardrailEventHooks def test_get_remaining_tokens_and_requests_from_request_data(): @@ -189,20 +192,109 @@ def test_get_logging_caching_headers_merges_metadata_and_litellm_metadata(): assert headers["x-litellm-policy-sources"] == "global-baseline=team_default" +def _record( + request_data: dict[str, object], + scan_id: str | None, + guardrail_name: str = "airs", + provider: str = "panw_prisma_airs", + stage: GuardrailEventHooks = GuardrailEventHooks.pre_call, +) -> None: + add_guardrail_scan_id( + request_data=request_data, scan_id=scan_id, guardrail_name=guardrail_name, provider=provider, stage=stage + ) + + def test_add_guardrail_scan_id_dedupes_and_becomes_response_header(): request_data = {"litellm_metadata": {}} - add_guardrail_scan_id(request_data=request_data, scan_id="scan-1") - add_guardrail_scan_id(request_data=request_data, scan_id="scan-1") - add_guardrail_scan_id(request_data=request_data, scan_id="scan-2") - add_guardrail_scan_id(request_data=request_data, scan_id=None) + _record(request_data, "scan-1") + _record(request_data, "scan-1") + _record(request_data, "scan-2") + _record(request_data, None) assert request_data["litellm_metadata"]["guardrail_scan_ids"] == ("scan-1", "scan-2") assert get_logging_caching_headers(request_data)["x-litellm-guardrail-scan-id"] == "scan-1,scan-2" -def test_get_logging_caching_headers_omits_scan_id_header_without_scans(): - assert "x-litellm-guardrail-scan-id" not in get_logging_caching_headers({"litellm_metadata": {}}) +def test_scan_metadata_header_maps_each_id_to_its_guardrail_stage_and_provider(): + request_data: Final[dict[str, object]] = {"litellm_metadata": {}} + + _record( + request_data, "scan-1", guardrail_name="airs", provider="panw_prisma_airs", stage=GuardrailEventHooks.pre_call + ) + _record( + request_data, "mod-1", guardrail_name="mod", provider="openai_moderation", stage=GuardrailEventHooks.pre_call + ) + _record( + request_data, "scan-2", guardrail_name="airs", provider="panw_prisma_airs", stage=GuardrailEventHooks.post_call + ) + _record( + request_data, "scan-2", guardrail_name="airs", provider="panw_prisma_airs", stage=GuardrailEventHooks.post_call + ) + _record(request_data, None, guardrail_name="mod", provider="openai_moderation", stage=GuardrailEventHooks.post_call) + + headers: Final = get_logging_caching_headers(request_data) + assert headers is not None + assert headers["x-litellm-guardrail-scan-id"] == "scan-1,mod-1,scan-2" + assert json.loads(headers["x-litellm-guardrail-scan-metadata"]) == [ + {"guardrail": "airs", "stage": "pre_call", "provider": "panw_prisma_airs", "scan_id": "scan-1"}, + {"guardrail": "mod", "stage": "pre_call", "provider": "openai_moderation", "scan_id": "mod-1"}, + {"guardrail": "airs", "stage": "post_call", "provider": "panw_prisma_airs", "scan_id": "scan-2"}, + ] + + +def test_scan_metadata_keeps_same_id_reused_across_stages(): + request_data: Final[dict[str, object]] = {"metadata": {}} + + _record(request_data, "scan-1", stage=GuardrailEventHooks.pre_call) + _record(request_data, "scan-1", stage=GuardrailEventHooks.post_call) + + headers: Final = get_logging_caching_headers(request_data) + assert headers is not None + assert headers["x-litellm-guardrail-scan-id"] == "scan-1" + assert [entry["stage"] for entry in json.loads(headers["x-litellm-guardrail-scan-metadata"])] == [ + "pre_call", + "post_call", + ] + + +def test_scan_metadata_header_drops_trailing_entries_to_stay_within_length_limit(): + request_data: Final[dict[str, object]] = {"litellm_metadata": {}} + scan_ids: Final = tuple(f"0f9c4b7e-3d2a-4c1b-9e8f-{index:012d}" for index in range(40)) + for scan_id in scan_ids: + _record(request_data, scan_id, stage=GuardrailEventHooks.post_call) + + headers: Final = get_logging_caching_headers(request_data) + assert headers is not None + assert headers["x-litellm-guardrail-scan-id"] == ",".join(scan_ids) + header: Final = headers["x-litellm-guardrail-scan-metadata"] + assert len(header) <= MAX_GUARDRAIL_SCAN_METADATA_HEADER_LENGTH + kept: Final = json.loads(header) + assert 1 < len(kept) < len(scan_ids) + assert [entry["scan_id"] for entry in kept] == list(scan_ids[: len(kept)]) + + +def test_serialize_scan_metadata_header_keeps_exactly_the_entries_that_fit(): + entries: Final = ({"scan_id": "a"}, {"scan_id": "b"}, {"scan_id": "c"}) + two_entries: Final = '[{"scan_id":"a"},{"scan_id":"b"}]' + + assert _serialize_scan_metadata_header(entries, max_length=len(two_entries)) == two_entries + assert _serialize_scan_metadata_header(entries, max_length=len(two_entries) - 1) == '[{"scan_id":"a"}]' + assert _serialize_scan_metadata_header(entries, max_length=len(two_entries) + 1) == two_entries + assert _serialize_scan_metadata_header(entries, max_length=1000) == json.dumps(entries, separators=(",", ":")) + assert _serialize_scan_metadata_header(entries, max_length=5) is None + assert _serialize_scan_metadata_header((), max_length=1000) is None + + +def test_scan_metadata_is_an_internal_metadata_key(): + assert sanitize_openai_provider_metadata({"guardrail_scan_metadata": "x", "keep": "y"}) == {"keep": "y"} + + +def test_get_logging_caching_headers_omits_scan_headers_without_scans(): + headers: Final = get_logging_caching_headers({"litellm_metadata": {}}) + assert headers is not None + assert "x-litellm-guardrail-scan-id" not in headers + assert "x-litellm-guardrail-scan-metadata" not in headers def test_initialize_callbacks_on_proxy_instantiates_compression_interception( diff --git a/tests/test_litellm/proxy/common_utils/test_openai_error_payload.py b/tests/test_litellm/proxy/common_utils/test_openai_error_payload.py new file mode 100644 index 00000000000..8b653ddfb71 --- /dev/null +++ b/tests/test_litellm/proxy/common_utils/test_openai_error_payload.py @@ -0,0 +1,145 @@ +import json + +import pytest +from fastapi import HTTPException + +from litellm.proxy._types import ProxyErrorTypes, ProxyException +from litellm.proxy.common_utils.openai_error_payload import ( + error_status_code, + openai_error_param, + openai_error_type, +) + + +@pytest.mark.parametrize( + "status_code, expected_type", + [ + (400, "invalid_request_error"), + (401, "authentication_error"), + (403, "permission_error"), + (404, "invalid_request_error"), + (408, "invalid_request_error"), + (422, "invalid_request_error"), + (429, "rate_limit_error"), + (499, "invalid_request_error"), + (500, "internal_server_error"), + (502, "internal_server_error"), + (503, "internal_server_error"), + ], +) +def test_status_code_decides_the_type_when_the_exception_carries_none(status_code: int, expected_type: str): + """A route that raises a bare HTTPException carries no error type, so the status it + answered with is the only thing left to name the OpenAI type from.""" + assert openai_error_type(HTTPException(status_code=status_code, detail="boom"), status_code) == expected_type + + +def test_a_carried_type_wins_over_the_one_the_status_would_imply(): + """A ProxyException raised mid-request already names its own type, and relabelling a + 402 budget_exceeded as the status map's guess would lose what the client branches on.""" + carried = ProxyException( + message="Budget has been exceeded", + type=ProxyErrorTypes.budget_exceeded.value, + param=None, + code=400, + ) + + assert openai_error_type(carried, 400) == ProxyErrorTypes.budget_exceeded.value + + +@pytest.mark.parametrize("carried_type", [None, 400, {"type": "invalid_request_error"}, ["invalid_request_error"]]) +def test_a_non_string_carried_type_falls_back_to_the_status(carried_type: object): + """OpenAI types error.type as a string, so anything else on the exception is not one and + must not reach the wire the way the literal "None" used to.""" + + class _Carrier(Exception): + type = carried_type + + assert openai_error_type(_Carrier("boom"), 401) == "authentication_error" + + +def test_the_type_is_never_the_string_none_after_a_json_round_trip(): + """The bug this module exists for: json.dumps of a "None" default is indistinguishable + from a real type to a client's error handler.""" + payload = json.loads( + json.dumps( + { + "type": openai_error_type(HTTPException(status_code=400, detail="boom"), 400), + "param": openai_error_param(HTTPException(status_code=400, detail="boom")), + } + ) + ) + + assert payload == {"type": "invalid_request_error", "param": None} + + +def test_a_carried_param_names_the_offending_field(): + carried = ProxyException(message="Invalid purpose", type="invalid_request_error", param="purpose", code=400) + + assert openai_error_param(carried) == "purpose" + + +@pytest.mark.parametrize("exc", [HTTPException(status_code=400, detail="boom"), ValueError("boom"), None]) +def test_param_is_json_null_when_the_exception_names_no_field(exc: Exception | None): + assert openai_error_param(exc) is None + + +def test_a_non_string_carried_param_is_json_null(): + class _Carrier(Exception): + param = 42 + + assert openai_error_param(_Carrier("boom")) is None + + +def test_a_carried_status_code_wins_over_the_default(): + assert error_status_code(HTTPException(status_code=429, detail="slow down"), 400) == 429 + + +@pytest.mark.parametrize("default", [400, 500]) +def test_the_default_status_stands_when_the_exception_carries_none(default: int): + assert error_status_code(ValueError("boom"), default) == default + + +@pytest.mark.parametrize("carried_status", [True, False, "429", None, 429.0]) +def test_a_non_int_carried_status_falls_back_to_the_default(carried_status: object): + """True is an int in Python but not an HTTP status, and a stringified one would break + every caller that compares the code numerically.""" + + class _Carrier(Exception): + status_code = carried_status + + assert error_status_code(_Carrier("boom"), 500) == 500 + + +def test_a_proxy_exception_keeps_the_status_it_was_raised_with(): + """ProxyException stores its status as the string ``code`` rather than ``status_code``, + so a route tail that rewraps one used to answer a 4xx rejection as a 500.""" + rejection = ProxyException(message="session_id is required", type="bad_request_error", param="session_id", code=400) + + assert error_status_code(rejection, 500) == 400 + + +@pytest.mark.parametrize("carried_code", [None, "None", "", "rate_limited", "4xx", 404]) +def test_a_code_that_is_not_a_decimal_string_falls_back_to_the_default(carried_code: object): + """Only ProxyException's stringified status is a status; ``code`` on anything else + (OpenAI's ``invalid_api_key``, a stray int) says nothing about the HTTP answer.""" + + class _Carrier(Exception): + code = carried_code + + assert error_status_code(_Carrier("boom"), 500) == 500 + + +def test_a_status_code_wins_over_a_stringified_code(): + class _Carrier(Exception): + status_code = 429 + code = "400" + + assert error_status_code(_Carrier("boom"), 500) == 429 + + +def test_a_status_carried_by_an_exception_drives_the_type_it_reports(): + """The two helpers compose at every call site: the status the exception carries is what + names its type, not the default the route would have used.""" + exc = HTTPException(status_code=403, detail="blocked by policy") + + assert openai_error_type(exc, error_status_code(exc, 400)) == "permission_error" diff --git a/tests/test_litellm/proxy/db/conftest.py b/tests/test_litellm/proxy/db/conftest.py index 03d7ea81257..d3226b0ec50 100644 --- a/tests/test_litellm/proxy/db/conftest.py +++ b/tests/test_litellm/proxy/db/conftest.py @@ -6,7 +6,7 @@ import time from collections.abc import Generator from dataclasses import dataclass from pathlib import Path -from typing import Optional +from typing import Final, Optional import pytest @@ -122,10 +122,18 @@ class FakePrismaCli: return [json.loads(line) for line in self.calls_file.read_text().splitlines()] def grandchild_is_gone(self, within_seconds: float) -> bool: - deadline = time.monotonic() + within_seconds + pid: Final = int(self.grandchild_pidfile.read_text()) + deadline: Final = time.monotonic() + within_seconds while time.monotonic() < deadline: + if os.name != "nt": + try: + reaped_pid, _ = os.waitpid(pid, os.WNOHANG) + if reaped_pid == pid: + return True + except ChildProcessError: + pass try: - os.kill(int(self.grandchild_pidfile.read_text()), 0) + os.kill(pid, 0) except ProcessLookupError: return True time.sleep(0.05) @@ -154,3 +162,4 @@ def fake_prisma_cli(tmp_path: Path, monkeypatch: pytest.MonkeyPatch) -> Generato os.kill(int(cli.grandchild_pidfile.read_text()), signal.SIGKILL) except ProcessLookupError: pass + assert cli.grandchild_is_gone(within_seconds=5) diff --git a/tests/test_litellm/proxy/db/test_db_spend_update_writer.py b/tests/test_litellm/proxy/db/test_db_spend_update_writer.py index 0bca7c9492c..5e977712a1e 100644 --- a/tests/test_litellm/proxy/db/test_db_spend_update_writer.py +++ b/tests/test_litellm/proxy/db/test_db_spend_update_writer.py @@ -2944,11 +2944,9 @@ async def test_insert_spend_log_asks_for_an_immediate_flush_on_rows_other_worker A `previous_response_id` chained straight off the previous turn reads the DB, so a Responses row cannot sit in this worker's queue until the monitor's next poll. """ - from litellm.proxy.utils import PrismaClient - db_writer = DBSpendUpdateWriter() prisma = _tool_usage_prisma() - PrismaClient.spend_log_flush_requested.clear() + prisma.spend_log_flush_requested = asyncio.Event() await db_writer._insert_spend_log_to_db( payload={"request_id": "req-1", "call_type": call_type}, @@ -2956,8 +2954,7 @@ async def test_insert_spend_log_asks_for_an_immediate_flush_on_rows_other_worker ) assert prisma.spend_log_transactions == [{"request_id": "req-1", "call_type": call_type}] - assert PrismaClient.spend_log_flush_requested.is_set() is expects_flush - PrismaClient.spend_log_flush_requested.clear() + assert prisma.spend_log_flush_requested.is_set() is expects_flush def _batch_cost_payload() -> dict: diff --git a/tests/test_litellm/proxy/db/test_db_url_settings.py b/tests/test_litellm/proxy/db/test_db_url_settings.py index db524625a93..875dca4bee3 100644 --- a/tests/test_litellm/proxy/db/test_db_url_settings.py +++ b/tests/test_litellm/proxy/db/test_db_url_settings.py @@ -11,15 +11,30 @@ clobber a pre-existing ``DATABASE_URL_READ_REPLICA``. A pre-existing ``DATABASE_URL`` (password auth) is likewise left untouched. """ +import datetime +import hashlib import os +import socket +import ssl +import tempfile +import threading import urllib.parse +from collections.abc import Iterator +from dataclasses import dataclass +from pathlib import Path +from typing import Final from unittest.mock import patch import pytest +from cryptography import x509 +from cryptography.hazmat.primitives import hashes, serialization +from cryptography.hazmat.primitives.asymmetric import ec from pydantic import ValidationError from litellm.proxy.db.db_url_settings import ( + PG_SSL_REQUEST, DatabaseURLSettings, + translate_libpq_ssl_params, unsupported_db_scheme, unsupported_db_scheme_message, ) @@ -35,6 +50,7 @@ _MANAGED_DB_ENV_VARS = ( "IAM_TOKEN_DB_AUTH", "AZURE_POSTGRESQL_AUTH", "DATABASE_DISABLE_PREPARED_STATEMENTS", + "DATABASE_MAX_IDLE_CONNECTION_LIFETIME", "DATABASE_URL", "DIRECT_URL", "DATABASE_URL_READ_REPLICA", @@ -111,7 +127,7 @@ def test_assembles_writer_url_when_iam_enabled(monkeypatch): assert ( os.environ["DATABASE_URL"] - == "postgresql://litellm:WRITER_TOKEN@writer.example.com:5432/litellm_db" + == "postgresql://litellm:WRITER_TOKEN@writer.example.com:5432/litellm_db?max_idle_connection_lifetime=60" ) # Reader was never configured, so it must not have been set. assert "DATABASE_URL_READ_REPLICA" not in os.environ @@ -130,7 +146,9 @@ def test_a_pre_encoded_iam_user_survives_url_assembly(monkeypatch): with _stub_iam_token("WRITER_TOKEN"): assert _apply() is True - assert os.environ["DATABASE_URL"] == "postgresql://svc%40corp:WRITER_TOKEN@writer.example.com:5432/litellm_db" + assert os.environ["DATABASE_URL"] == ( + "postgresql://svc%40corp:WRITER_TOKEN@writer.example.com:5432/litellm_db?max_idle_connection_lifetime=60" + ) def test_an_unreadable_toggle_fails_the_settings_model(monkeypatch): @@ -168,7 +186,7 @@ def test_reader_url_assembled_when_host_set_and_url_unset(monkeypatch): assert ( os.environ["DATABASE_URL_READ_REPLICA"] - == "postgresql://litellm:READER_TOKEN@reader.example.com:5432/litellm_db" + == "postgresql://litellm:READER_TOKEN@reader.example.com:5432/litellm_db?max_idle_connection_lifetime=60" ) @@ -191,7 +209,7 @@ def test_reader_url_not_clobbered_when_already_set(monkeypatch): assert ( os.environ["DATABASE_URL_READ_REPLICA"] - == "postgresql://app:secret@reader.example.com:5432/litellm_db" + == "postgresql://app:secret@reader.example.com:5432/litellm_db?max_idle_connection_lifetime=60" ) @@ -222,7 +240,8 @@ def test_reader_field_fallbacks_default_to_writer_values(monkeypatch): assert ( os.environ["DATABASE_URL_READ_REPLICA"] - == "postgresql://litellm:READER_TOKEN@reader.example.com:5432/litellm_db?schema=public" + == "postgresql://litellm:READER_TOKEN@reader.example.com:5432/litellm_db" + "?schema=public&max_idle_connection_lifetime=60" ) @@ -242,7 +261,7 @@ def test_assembles_writer_url_when_azure_entra_enabled(monkeypatch): assert os.environ["DATABASE_URL"] == ( "postgresql://litellm%40contoso.onmicrosoft.com:ENTRA_TOKEN" - "@writer.postgres.database.azure.com:5432/litellm_db" + "@writer.postgres.database.azure.com:5432/litellm_db?max_idle_connection_lifetime=60" ) assert os.environ["AZURE_POSTGRESQL_AUTH"] == "True" assert "IAM_TOKEN_DB_AUTH" not in os.environ @@ -261,7 +280,7 @@ def test_azure_reader_url_assembled_from_writer_fallbacks(monkeypatch): assert os.environ["DATABASE_URL_READ_REPLICA"] == ( "postgresql://litellm%40contoso.onmicrosoft.com:ENTRA_TOKEN" - "@reader.postgres.database.azure.com:5432/litellm_db?schema=public" + "@reader.postgres.database.azure.com:5432/litellm_db?schema=public&max_idle_connection_lifetime=60" ) @@ -357,7 +376,7 @@ def test_assembles_writer_url_from_password(monkeypatch): assert _apply() is True assert ( os.environ["DATABASE_URL"] - == "postgresql://litellm:s3cr3t@writer.example.com:5432/litellm_db" + == "postgresql://litellm:s3cr3t@writer.example.com:5432/litellm_db?max_idle_connection_lifetime=60" ) @@ -370,16 +389,14 @@ def test_writer_password_is_percent_encoded(monkeypatch): assert _apply() is True assert ( os.environ["DATABASE_URL"] - == "postgresql://litellm:p%40ss%2Fw%3Ard@writer.example.com:5432/litellm_db" + == "postgresql://litellm:p%40ss%2Fw%3Ard@writer.example.com:5432/litellm_db?max_idle_connection_lifetime=60" ) def test_writer_url_not_clobbered_when_already_set(monkeypatch): """An operator-pinned DATABASE_URL (e.g. helm's $(VAR) assembly) always wins over the discrete fields.""" - monkeypatch.setenv( - "DATABASE_URL", "postgresql://pinned:url@db.example.com:5432/litellm_db" - ) + monkeypatch.setenv("DATABASE_URL", "postgresql://pinned:url@db.example.com:5432/litellm_db") monkeypatch.setenv("DATABASE_HOST", "writer.example.com") monkeypatch.setenv("DATABASE_USER", "litellm") monkeypatch.setenv("DATABASE_NAME", "litellm_db") @@ -388,7 +405,7 @@ def test_writer_url_not_clobbered_when_already_set(monkeypatch): assert _apply() is False assert ( os.environ["DATABASE_URL"] - == "postgresql://pinned:url@db.example.com:5432/litellm_db" + == "postgresql://pinned:url@db.example.com:5432/litellm_db?max_idle_connection_lifetime=60" ) @@ -400,7 +417,7 @@ def test_writer_url_passwordless(monkeypatch): assert _apply() is True assert ( os.environ["DATABASE_URL"] - == "postgresql://litellm@writer.example.com:5432/litellm_db" + == "postgresql://litellm@writer.example.com:5432/litellm_db?max_idle_connection_lifetime=60" ) @@ -415,7 +432,7 @@ def test_database_username_alias(monkeypatch): assert _apply() is True assert ( os.environ["DATABASE_URL"] - == "postgresql://litellm:s3cr3t@writer.example.com:5432/litellm_db" + == "postgresql://litellm:s3cr3t@writer.example.com:5432/litellm_db?max_idle_connection_lifetime=60" ) @@ -429,7 +446,7 @@ def test_password_reader_falls_back_to_writer_password(monkeypatch): assert _apply() is True assert ( os.environ["DATABASE_URL_READ_REPLICA"] - == "postgresql://litellm:s3cr3t@reader.example.com:5432/litellm_db" + == "postgresql://litellm:s3cr3t@reader.example.com:5432/litellm_db?max_idle_connection_lifetime=60" ) @@ -445,7 +462,7 @@ def test_password_reader_uses_own_credentials(monkeypatch): assert _apply() is True assert ( os.environ["DATABASE_URL_READ_REPLICA"] - == "postgresql://litellm_ro:ro_pw@reader.example.com:5432/litellm_db" + == "postgresql://litellm_ro:ro_pw@reader.example.com:5432/litellm_db?max_idle_connection_lifetime=60" ) @@ -511,9 +528,7 @@ def test_apply_to_env_rejects_pinned_sqlite_direct_url(monkeypatch): def test_apply_to_env_rejects_pinned_non_postgres_reader(monkeypatch): monkeypatch.setenv("DATABASE_URL", "postgresql://u:p@writer.example.com:5432/db") - monkeypatch.setenv( - "DATABASE_URL_READ_REPLICA", "mysql://u:p@reader.example.com:3306/db" - ) + monkeypatch.setenv("DATABASE_URL_READ_REPLICA", "mysql://u:p@reader.example.com:3306/db") with pytest.raises(RuntimeError, match=r"DATABASE_URL_READ_REPLICA.*mysql"): _apply() @@ -538,15 +553,11 @@ def test_reader_inherits_writer_connection_params(monkeypatch): "DATABASE_URL", "postgresql://u:p@writer.example.com:5432/db?connection_limit=3&pool_timeout=20&pgbouncer=true", ) - monkeypatch.setenv( - "DATABASE_URL_READ_REPLICA", "postgresql://u:p@reader.example.com:5432/db" - ) + monkeypatch.setenv("DATABASE_URL_READ_REPLICA", "postgresql://u:p@reader.example.com:5432/db") _apply() - query = urllib.parse.parse_qs( - urllib.parse.urlsplit(os.environ["DATABASE_URL_READ_REPLICA"]).query - ) + query = urllib.parse.parse_qs(urllib.parse.urlsplit(os.environ["DATABASE_URL_READ_REPLICA"]).query) assert query["connection_limit"] == ["3"] assert query["pool_timeout"] == ["20"] assert query["pgbouncer"] == ["true"] @@ -564,9 +575,7 @@ def test_reader_keeps_its_own_pinned_connection_params(monkeypatch): _apply() - query = urllib.parse.parse_qs( - urllib.parse.urlsplit(os.environ["DATABASE_URL_READ_REPLICA"]).query - ) + query = urllib.parse.parse_qs(urllib.parse.urlsplit(os.environ["DATABASE_URL_READ_REPLICA"]).query) assert query["connection_limit"] == ["50"] assert query["pool_timeout"] == ["20"] @@ -641,19 +650,19 @@ def test_reader_keeps_its_own_options_when_writer_params_are_appended(monkeypatc assert query["connection_limit"] == ["3"] -def test_reader_url_left_alone_when_writer_has_no_params(monkeypatch): +def test_reader_url_left_alone_when_nothing_is_missing(monkeypatch): """No params to inherit must mean the reader URL is not rewritten at all.""" monkeypatch.setenv("DATABASE_URL", "postgresql://u:p@writer.example.com:5432/db") monkeypatch.setenv( "DATABASE_URL_READ_REPLICA", - "postgresql://u:p@reader.example.com:5432/db?options=-c%20search_path%3Dapp", + "postgresql://u:p@reader.example.com:5432/db?options=-c%20search_path%3Dapp&max_idle_connection_lifetime=45", ) _apply() assert ( os.environ["DATABASE_URL_READ_REPLICA"] - == "postgresql://u:p@reader.example.com:5432/db?options=-c%20search_path%3Dapp" + == "postgresql://u:p@reader.example.com:5432/db?options=-c%20search_path%3Dapp&max_idle_connection_lifetime=45" ) @@ -671,7 +680,7 @@ def test_disable_prepared_statements_appends_pgbouncer_to_assembled_writer(monke assert _apply() is True assert os.environ["DATABASE_URL"] == ( - "postgresql://litellm:s3cr3t@writer.example.com:5432/litellm_db?pgbouncer=true" + "postgresql://litellm:s3cr3t@writer.example.com:5432/litellm_db?pgbouncer=true&max_idle_connection_lifetime=60" ) assert "DIRECT_URL" not in os.environ @@ -685,7 +694,9 @@ def test_disable_prepared_statements_appends_pgbouncer_to_pinned_writer(monkeypa monkeypatch.setenv("DATABASE_URL", "postgresql://u:p@db.example.com:5432/litellm_db") assert _apply() is False - assert os.environ["DATABASE_URL"] == "postgresql://u:p@db.example.com:5432/litellm_db?pgbouncer=true" + assert os.environ["DATABASE_URL"] == ( + "postgresql://u:p@db.example.com:5432/litellm_db?pgbouncer=true&max_idle_connection_lifetime=60" + ) def test_disable_prepared_statements_respects_a_pinned_pgbouncer_value(monkeypatch): @@ -694,7 +705,9 @@ def test_disable_prepared_statements_respects_a_pinned_pgbouncer_value(monkeypat _apply() - assert os.environ["DATABASE_URL"] == "postgresql://u:p@db.example.com:5432/litellm_db?pgbouncer=false" + assert os.environ["DATABASE_URL"] == ( + "postgresql://u:p@db.example.com:5432/litellm_db?pgbouncer=false&max_idle_connection_lifetime=60" + ) def test_disable_prepared_statements_applies_to_direct_url(monkeypatch): @@ -704,7 +717,9 @@ def test_disable_prepared_statements_applies_to_direct_url(monkeypatch): _apply() - assert os.environ["DIRECT_URL"] == "postgresql://u:p@direct.example.com:5432/litellm_db?pgbouncer=true" + assert os.environ["DIRECT_URL"] == ( + "postgresql://u:p@direct.example.com:5432/litellm_db?pgbouncer=true&max_idle_connection_lifetime=60" + ) def test_reader_inherits_pgbouncer_from_disable_prepared_statements(monkeypatch): @@ -724,7 +739,9 @@ def test_disable_prepared_statements_off_leaves_urls_alone(monkeypatch): _apply() - assert os.environ["DATABASE_URL"] == "postgresql://u:p@db.example.com:5432/litellm_db" + assert os.environ["DATABASE_URL"] == ( + "postgresql://u:p@db.example.com:5432/litellm_db?max_idle_connection_lifetime=60" + ) def test_disable_prepared_statements_rejects_an_unreadable_value(monkeypatch): @@ -760,15 +777,184 @@ def test_libpq_verify_full_and_sslrootcert_become_prisma_strict_sslcert(monkeypa "sslmode": ["require"], "sslcert": ["/certs/rds-bundle.pem"], "sslaccept": ["strict"], + "max_idle_connection_lifetime": ["60"], } +def _issue_cert( + subject: str, issuer: x509.Certificate | None, issuer_key: ec.EllipticCurvePrivateKey | None, ca: bool +) -> tuple[x509.Certificate, ec.EllipticCurvePrivateKey]: + key: Final = ec.generate_private_key(ec.SECP256R1()) + name: Final = x509.Name((x509.NameAttribute(x509.NameOID.COMMON_NAME, subject),)) + now: Final = datetime.datetime.now(datetime.timezone.utc) + builder: Final = ( + x509.CertificateBuilder() + .subject_name(name) + .issuer_name(issuer.subject if issuer else name) + .public_key(key.public_key()) + .serial_number(x509.random_serial_number()) + .not_valid_before(now - datetime.timedelta(minutes=5)) + .not_valid_after(now + datetime.timedelta(days=1)) + .add_extension(x509.BasicConstraints(ca=ca, path_length=None), critical=True) + .add_extension(x509.SubjectAlternativeName((x509.DNSName("localhost"),)), critical=False) + ) + return builder.sign(issuer_key or key, hashes.SHA256()), key + + +def _pem(cert: x509.Certificate) -> bytes: + return cert.public_bytes(serialization.Encoding.PEM) + + +class _TlsPostgresStub: + """Answers one libpq ``SSLRequest`` with ``S`` and serves ``leaf + intermediate``.""" + + def __init__(self, chain_pem: Path, key_pem: Path) -> None: + self.context: Final = ssl.SSLContext(ssl.PROTOCOL_TLS_SERVER) + self.context.load_cert_chain(str(chain_pem), str(key_pem)) + self.listener: Final = socket.create_server(("127.0.0.1", 0)) + self.port: Final[int] = self.listener.getsockname()[1] + self.thread: Final = threading.Thread(target=self._serve, daemon=True) + self.thread.start() + + def _serve(self) -> None: + with self.listener: + while True: + try: + conn: socket.socket = self.listener.accept()[0] + except OSError: + return + with conn: + try: + if conn.recv(8) == PG_SSL_REQUEST: + conn.sendall(b"S") + with self.context.wrap_socket(conn, server_side=True) as tls: + tls.recv(1) + except OSError: + continue + + +@dataclass(frozen=True, slots=True) +class _RdsLikePki: + bundle: Path + wrong_bundle: Path + root: Path + port: int + + +@pytest.fixture +def rds_like_pki(tmp_path: Path) -> Iterator[_RdsLikePki]: + """An RDS-shaped trust setup: the server sends leaf + intermediate, the + bundle holds only self-signed roots, and the right root is not first.""" + root, root_key = _issue_cert("Real Root CA", None, None, ca=True) + decoys: Final = tuple(_issue_cert(f"Decoy Root CA {i}", None, None, ca=True)[0] for i in range(3)) + intermediate, intermediate_key = _issue_cert("Intermediate CA", root, root_key, ca=True) + leaf, leaf_key = _issue_cert("localhost", intermediate, intermediate_key, ca=False) + chain_pem: Final = tmp_path / "server-chain.pem" + chain_pem.write_bytes(_pem(leaf) + _pem(intermediate)) + key_pem: Final = tmp_path / "server.key" + key_pem.write_bytes( + leaf_key.private_bytes( + serialization.Encoding.PEM, serialization.PrivateFormat.PKCS8, serialization.NoEncryption() + ) + ) + bundle: Final = tmp_path / "global-bundle.pem" + bundle.write_bytes(b"".join(_pem(decoy) for decoy in decoys) + _pem(root)) + wrong_bundle: Final = tmp_path / "wrong-bundle.pem" + wrong_bundle.write_bytes(b"".join(_pem(decoy) for decoy in decoys)) + root_pem: Final = tmp_path / "root.pem" + root_pem.write_bytes(_pem(root)) + stub: Final = _TlsPostgresStub(chain_pem, key_pem) + yield _RdsLikePki(bundle=bundle, wrong_bundle=wrong_bundle, root=root_pem, port=stub.port) + stub.listener.close() + + +def _params(url: str) -> tuple[tuple[str, str], ...]: + return tuple(urllib.parse.parse_qsl(urllib.parse.urlsplit(url).query, keep_blank_values=True)) + + +def test_multi_root_bundle_is_pinned_to_the_root_the_server_chains_to( + monkeypatch: pytest.MonkeyPatch, rds_like_pki: _RdsLikePki +): + """Prisma's ``sslcert`` loads only the first certificate of the file, so + handing it the whole RDS bundle trusts one region's root and fails with + "unable to get local issuer certificate" everywhere else. The URL Prisma + receives must point at a single-certificate file holding the server's root.""" + monkeypatch.setenv( + "DATABASE_URL", + f"postgresql://u:p@localhost:{rds_like_pki.port}/litellm_db?sslmode=verify-full&sslrootcert={rds_like_pki.bundle}", + ) + + _apply() + + (sslmode, sslcert, sslaccept, _) = _params(os.environ["DATABASE_URL"]) + assert (sslmode, sslaccept) == (("sslmode", "require"), ("sslaccept", "strict")) + assert sslcert[0] == "sslcert" and sslcert[1] != str(rds_like_pki.bundle) + assert Path(sslcert[1]).read_bytes() == rds_like_pki.root.read_bytes() + + +def test_pinned_root_replaces_a_planted_symlink_instead_of_writing_through_it( + monkeypatch: pytest.MonkeyPatch, rds_like_pki: _RdsLikePki, tmp_path: Path +): + """The pinned file has a predictable name in a shared temp dir, so a symlink + planted there must not redirect the write onto its target.""" + monkeypatch.setattr(tempfile, "tempdir", str(tmp_path)) + root_der: Final = x509.load_pem_x509_certificate(rds_like_pki.root.read_bytes()).public_bytes( + serialization.Encoding.DER + ) + pinned: Final = tmp_path / f"litellm-sslcert-{hashlib.sha256(root_der).hexdigest()[:16]}.pem" + victim: Final = tmp_path / "victim.txt" + victim.write_text("untouched") + pinned.symlink_to(victim) + monkeypatch.setenv( + "DATABASE_URL", + f"postgresql://u:p@localhost:{rds_like_pki.port}/litellm_db?sslmode=verify-full&sslrootcert={rds_like_pki.bundle}", + ) + + _apply() + + assert ("sslcert", str(pinned)) in _params(os.environ["DATABASE_URL"]) + assert victim.read_text() == "untouched" + assert not pinned.is_symlink() and pinned.read_bytes() == rds_like_pki.root.read_bytes() + + +def test_bundle_without_the_servers_root_is_passed_through_unchanged( + monkeypatch: pytest.MonkeyPatch, rds_like_pki: _RdsLikePki +): + """Nothing in the bundle verifies the server, so no root is pinned and + Prisma keeps rejecting the connection instead of trusting a root the + operator never shipped.""" + monkeypatch.setenv( + "DATABASE_URL", + f"postgresql://u:p@localhost:{rds_like_pki.port}/litellm_db" + f"?sslmode=verify-full&sslrootcert={rds_like_pki.wrong_bundle}", + ) + + _apply() + + assert ("sslcert", str(rds_like_pki.wrong_bundle)) in _params(os.environ["DATABASE_URL"]) + + +def test_root_cert_resolver_receives_the_urls_host_and_default_port(): + def resolver(cert_path: str, host: str, port: int) -> str: + return f"/pinned/{host}/{port}{cert_path}" + + url: Final = translate_libpq_ssl_params( + "postgresql://u:p@db.example.com/litellm_db?sslmode=verify-full&sslrootcert=/certs/bundle.pem", resolver + ) + + assert ("sslcert", "/pinned/db.example.com/5432/certs/bundle.pem") in _params(url) + + def test_libpq_verify_ca_becomes_prisma_strict(monkeypatch): monkeypatch.setenv("DATABASE_URL", "postgresql://u:p@db.example.com:5432/litellm_db?sslmode=verify-ca") _apply() - assert _query(os.environ["DATABASE_URL"]) == {"sslmode": ["require"], "sslaccept": ["strict"]} + assert _query(os.environ["DATABASE_URL"]) == { + "sslmode": ["require"], + "sslaccept": ["strict"], + "max_idle_connection_lifetime": ["60"], + } def test_sslrootcert_alone_turns_on_strict_verification(monkeypatch): @@ -784,6 +970,7 @@ def test_sslrootcert_alone_turns_on_strict_verification(monkeypatch): "sslmode": ["require"], "sslcert": ["/certs/ca.pem"], "sslaccept": ["strict"], + "max_idle_connection_lifetime": ["60"], } @@ -800,11 +987,15 @@ def test_pinned_prisma_ssl_params_win_over_libpq_translation(monkeypatch): "sslmode": ["require"], "sslcert": ["/pinned.pem"], "sslaccept": ["accept_invalid_certs"], + "max_idle_connection_lifetime": ["60"], } def test_prisma_native_ssl_url_is_left_untouched(monkeypatch): - url = "postgresql://u:p@db.example.com:5432/litellm_db?sslmode=require&sslcert=/certs/ca.pem&sslaccept=strict" + url = ( + "postgresql://u:p@db.example.com:5432/litellm_db" + "?sslmode=require&sslcert=/certs/ca.pem&sslaccept=strict&max_idle_connection_lifetime=60" + ) monkeypatch.setenv("DATABASE_URL", url) _apply() @@ -820,4 +1011,84 @@ def test_libpq_ssl_translation_covers_direct_url_and_read_replica(monkeypatch): _apply() for env_var in ("DATABASE_URL", "DIRECT_URL", "DATABASE_URL_READ_REPLICA"): - assert _query(os.environ[env_var]) == {"sslmode": ["require"], "sslaccept": ["strict"]}, env_var + assert _query(os.environ[env_var]) == { + "sslmode": ["require"], + "sslaccept": ["strict"], + "max_idle_connection_lifetime": ["60"], + }, env_var + + +def test_default_idle_lifetime_applied_to_pinned_writer_and_direct_url(monkeypatch): + monkeypatch.setenv("DATABASE_URL", "postgresql://u:p@db.example.com:5432/litellm_db") + monkeypatch.setenv("DIRECT_URL", "postgresql://u:p@direct.example.com:5432/litellm_db") + + assert _apply() is False + + assert os.environ["DATABASE_URL"] == ( + "postgresql://u:p@db.example.com:5432/litellm_db?max_idle_connection_lifetime=60" + ) + assert os.environ["DIRECT_URL"] == ( + "postgresql://u:p@direct.example.com:5432/litellm_db?max_idle_connection_lifetime=60" + ) + + +def test_url_pinned_idle_lifetime_wins_over_default_and_env_knob(monkeypatch): + monkeypatch.setenv("DATABASE_MAX_IDLE_CONNECTION_LIFETIME", "45") + monkeypatch.setenv( + "DATABASE_URL", "postgresql://u:p@db.example.com:5432/litellm_db?max_idle_connection_lifetime=300" + ) + + _apply() + + assert os.environ["DATABASE_URL"] == ( + "postgresql://u:p@db.example.com:5432/litellm_db?max_idle_connection_lifetime=300" + ) + + +def test_env_knob_overrides_default_idle_lifetime(monkeypatch): + monkeypatch.setenv("DATABASE_MAX_IDLE_CONNECTION_LIFETIME", "45") + monkeypatch.setenv("DATABASE_URL", "postgresql://u:p@db.example.com:5432/litellm_db") + monkeypatch.setenv("DIRECT_URL", "postgresql://u:p@direct.example.com:5432/litellm_db") + + _apply() + + assert os.environ["DATABASE_URL"] == ( + "postgresql://u:p@db.example.com:5432/litellm_db?max_idle_connection_lifetime=45" + ) + assert os.environ["DIRECT_URL"] == ( + "postgresql://u:p@direct.example.com:5432/litellm_db?max_idle_connection_lifetime=45" + ) + + +def test_env_knob_rejects_a_non_integer_value(monkeypatch): + monkeypatch.setenv("DATABASE_MAX_IDLE_CONNECTION_LIFETIME", "soon") + + with pytest.raises(ValidationError, match="DATABASE_MAX_IDLE_CONNECTION_LIFETIME"): + DatabaseURLSettings.from_env() + + +@pytest.mark.parametrize(("knob", "expected"), [(None, "60"), ("45", "45")]) +def test_reader_inherits_the_writer_idle_lifetime(monkeypatch, knob, expected): + if knob is not None: + monkeypatch.setenv("DATABASE_MAX_IDLE_CONNECTION_LIFETIME", knob) + monkeypatch.setenv("DATABASE_URL", "postgresql://u:p@writer.example.com:5432/db") + monkeypatch.setenv("DATABASE_URL_READ_REPLICA", "postgresql://u:p@reader.example.com:5432/db") + + _apply() + + assert os.environ["DATABASE_URL_READ_REPLICA"] == ( + f"postgresql://u:p@reader.example.com:5432/db?max_idle_connection_lifetime={expected}" + ) + + +def test_reader_keeps_its_own_pinned_idle_lifetime(monkeypatch): + monkeypatch.setenv("DATABASE_URL", "postgresql://u:p@writer.example.com:5432/db") + monkeypatch.setenv( + "DATABASE_URL_READ_REPLICA", "postgresql://u:p@reader.example.com:5432/db?max_idle_connection_lifetime=120" + ) + + _apply() + + assert os.environ["DATABASE_URL_READ_REPLICA"] == ( + "postgresql://u:p@reader.example.com:5432/db?max_idle_connection_lifetime=120" + ) diff --git a/tests/test_litellm/proxy/db/test_gateway_request_tracking.py b/tests/test_litellm/proxy/db/test_gateway_request_tracking.py index 93a11a914cb..045261e2d53 100644 --- a/tests/test_litellm/proxy/db/test_gateway_request_tracking.py +++ b/tests/test_litellm/proxy/db/test_gateway_request_tracking.py @@ -8,8 +8,11 @@ from datetime import datetime, timezone import pytest +from litellm.constants import MAX_REDIS_BUFFER_DEQUEUE_COUNT, REDIS_GATEWAY_REQUESTS_BUFFER_KEY from litellm.proxy.db.gateway_request_tracking import ( + GATEWAY_REQUESTS_JOB_NAME, GatewayRequestAccumulator, + GatewayRequestRedisBuffer, commit_gateway_requests_to_db, flush_gateway_requests, ) @@ -83,40 +86,47 @@ def test_drain_snapshot_is_not_mutated_by_later_records(): # ── commit ──────────────────────────────────────────────────────────────────── -class FakeTable: - def __init__(self) -> None: - self.upserts: list[dict] = [] - - def upsert(self, *, where: dict, data: dict) -> None: - self.upserts.append({"where": where, "data": data}) - - -class FakeBatcher: - def __init__(self, table: FakeTable) -> None: - self.litellm_dailygatewayrequests = table - - async def __aenter__(self) -> "FakeBatcher": - return self - - async def __aexit__(self, *args: object) -> bool: - return False - - class FakeDB: - def __init__(self, table: FakeTable) -> None: - self._table = table + def __init__(self) -> None: + self.statements: list[tuple[str, tuple[object, ...]]] = [] - def batch_(self) -> FakeBatcher: - return FakeBatcher(self._table) + async def execute_raw(self, query: str, *args: object) -> int: + self.statements.append((query, args)) + return len(args) // 5 class FakePrismaClient: def __init__(self) -> None: - self.table = FakeTable() - self.db = FakeDB(self.table) + self.db = FakeDB() -def test_commit_upserts_one_incrementing_row_per_key(): +def _rows_written(client: FakePrismaClient) -> list[tuple[object, ...]]: + """Every (date, category, route, successful, failed) tuple the database received, in statement order.""" + return [params[i : i + 5] for _, params in client.db.statements for i in range(0, len(params), 5)] + + +def test_commit_increments_with_a_single_statement_for_the_whole_snapshot(): + """One statement per flush is the whole point: the previous per-key upsert cost + the primary (workers x routes) statements per interval.""" + client = FakePrismaClient() + snapshot = { + GatewayRequestKey(date="2026-08-01", category="llm", route=route): ( + GatewayRequestCounts(successful_requests=7, failed_requests=2) + ) + for route in ("/chat/completions", "/embeddings", "/responses", "/v1/messages", "/mcp") + } + + asyncio.run(commit_gateway_requests_to_db(prisma_client=client, snapshot=snapshot)) + + assert len(client.db.statements) == 1 + sql, params = client.db.statements[0] + assert sql.count("ON CONFLICT") == 1 + assert sql.count("(NOW() AT TIME ZONE 'UTC'))") == 5 + assert len(params) == 25 + + +def test_commit_sql_adds_to_the_existing_row_instead_of_replacing_it(): + """A worker only knows its own share; the SQL must add EXCLUDED onto the stored count.""" client = FakePrismaClient() snapshot = { GatewayRequestKey(date="2026-08-01", category="llm", route="/chat/completions"): ( @@ -126,20 +136,36 @@ def test_commit_upserts_one_incrementing_row_per_key(): asyncio.run(commit_gateway_requests_to_db(prisma_client=client, snapshot=snapshot)) - assert len(client.table.upserts) == 1 - written = client.table.upserts[0] - assert written["where"] == { - "date_category_route": { - "date": "2026-08-01", - "category": "llm", - "route": "/chat/completions", - } + sql, params = client.db.statements[0] + assert 'INSERT INTO "LiteLLM_DailyGatewayRequests"' in sql + assert 'ON CONFLICT ("date", "category", "route") DO UPDATE SET' in sql + assert ( + '"successful_requests" = "LiteLLM_DailyGatewayRequests"."successful_requests" + EXCLUDED."successful_requests"' + in sql + ) + assert '"failed_requests" = "LiteLLM_DailyGatewayRequests"."failed_requests" + EXCLUDED."failed_requests"' in sql + assert params == ("2026-08-01", "llm", "/chat/completions", 7, 2) + + +def test_commit_placeholders_line_up_with_params(): + """$n positions are generated per row; a drift here silently swaps a route for a count.""" + client = FakePrismaClient() + snapshot = { + GatewayRequestKey(date="2026-08-01", category="llm", route="/chat/completions"): ( + GatewayRequestCounts(successful_requests=1, failed_requests=0) + ), + GatewayRequestKey(date="2026-08-01", category="mcp", route="/mcp"): ( + GatewayRequestCounts(successful_requests=0, failed_requests=3) + ), } - assert written["data"]["update"] == { - "successful_requests": {"increment": 7}, - "failed_requests": {"increment": 2}, - } - assert written["data"]["create"]["successful_requests"] == 7 + + asyncio.run(commit_gateway_requests_to_db(prisma_client=client, snapshot=snapshot)) + + sql, params = client.db.statements[0] + assert "($1::text, $2::text, $3::text, $4::bigint, $5::bigint," in sql + assert "($6::text, $7::text, $8::text, $9::bigint, $10::bigint," in sql + assert "$11" not in sql + assert params == ("2026-08-01", "llm", "/chat/completions", 1, 0, "2026-08-01", "mcp", "/mcp", 0, 3) def test_commit_is_deterministically_ordered(): @@ -154,17 +180,14 @@ def test_commit_is_deterministically_ordered(): asyncio.run(commit_gateway_requests_to_db(prisma_client=client, snapshot=snapshot)) - written_order = [ - (row["where"]["date_category_route"]["date"], row["where"]["date_category_route"]["category"]) - for row in client.table.upserts - ] + written_order = [(row[0], row[1]) for row in _rows_written(client)] assert written_order == [("2026-08-01", "llm"), ("2026-08-01", "mcp"), ("2026-08-02", "llm")] def test_commit_skips_the_database_entirely_when_nothing_accumulated(): client = FakePrismaClient() asyncio.run(commit_gateway_requests_to_db(prisma_client=client, snapshot={})) - assert client.table.upserts == [] + assert client.db.statements == [] # ── flush ───────────────────────────────────────────────────────────────────── @@ -177,12 +200,12 @@ def test_flush_drains_and_commits(): asyncio.run(flush_gateway_requests(client, acc)) - assert len(client.table.upserts) == 1 + assert len(client.db.statements) == 1 assert acc.drain() == {} class ExplodingDB: - def batch_(self): + async def execute_raw(self, query: str, *args: object) -> int: raise RuntimeError("db gone") @@ -208,10 +231,7 @@ def test_failed_flush_keeps_counts_for_the_next_attempt(): client = FakePrismaClient() asyncio.run(flush_gateway_requests(client, acc)) - assert client.table.upserts[0]["data"]["update"] == { - "successful_requests": {"increment": 1}, - "failed_requests": {"increment": 1}, - } + assert _rows_written(client) == [(_today(), "llm", "/chat/completions", 1, 1)] def test_restored_counts_merge_with_requests_recorded_meanwhile(): @@ -223,5 +243,272 @@ def test_restored_counts_merge_with_requests_recorded_meanwhile(): client = FakePrismaClient() asyncio.run(flush_gateway_requests(client, acc)) - assert len(client.table.upserts) == 1 - assert client.table.upserts[0]["data"]["update"]["successful_requests"] == {"increment": 2} + assert _rows_written(client) == [(_today(), "llm", "/chat/completions", 2, 0)] + + +class ExplodingDBWithInFlightRequest: + """Fails the write after a request has been recorded while it was in flight.""" + + def __init__(self, accumulator: GatewayRequestAccumulator) -> None: + self.accumulator = accumulator + + async def execute_raw(self, query: str, *args: object) -> int: + _record(self.accumulator, 500) + raise RuntimeError("db gone") + + +class ExplodingClientWithInFlightRequest: + def __init__(self, accumulator: GatewayRequestAccumulator) -> None: + self.db = ExplodingDBWithInFlightRequest(accumulator) + + +def test_restore_keeps_requests_recorded_while_the_failed_write_was_in_flight(): + acc = GatewayRequestAccumulator() + _record(acc, 200) + asyncio.run(flush_gateway_requests(ExplodingClientWithInFlightRequest(acc), acc)) + + client = FakePrismaClient() + asyncio.run(flush_gateway_requests(client, acc)) + + assert _rows_written(client) == [(_today(), "llm", "/chat/completions", 1, 1)] + + +# ── redis buffer ────────────────────────────────────────────────────────────── + + +class FakeRedis: + def __init__(self) -> None: + self.lists: dict[str, list[str]] = {} + + async def async_rpush(self, key: str, values: list[str]) -> int: + self.lists.setdefault(key, []).extend(values) + return len(self.lists[key]) + + async def async_lpop(self, key: str, count: int) -> list[str] | None: + queue = self.lists.get(key, []) + if not queue: + return None + popped, self.lists[key] = queue[:count], queue[count:] + return popped + + +class FakePodLock: + def __init__(self, *, leader: bool) -> None: + self.leader = leader + self.held: list[str] = [] + self.released: list[str] = [] + + async def acquire_lock(self, cronjob_id: str) -> bool: + self.held.append(cronjob_id) + return self.leader + + async def release_lock(self, cronjob_id: str) -> None: + self.released.append(cronjob_id) + + +class FakeLease: + """Redis-side view of the job lock: SET NX by pod id, re-entrant for the holder, freed only by release or TTL.""" + + def __init__(self) -> None: + self.holder: str | None = None + + +class FakeLeasePodLock: + def __init__(self, lease: FakeLease, pod_id: str) -> None: + self.lease = lease + self.pod_id = pod_id + + async def acquire_lock(self, cronjob_id: str) -> bool: + if self.lease.holder is None: + self.lease.holder = self.pod_id + return self.lease.holder == self.pod_id + + async def release_lock(self, cronjob_id: str) -> None: + if self.lease.holder == self.pod_id: + self.lease.holder = None + + +def _buffer(redis: FakeRedis, *, leader: bool) -> tuple[GatewayRequestRedisBuffer, FakePodLock]: + lock = FakePodLock(leader=leader) + return GatewayRequestRedisBuffer(redis_cache=redis, pod_lock_manager=lock), lock # pyright: ignore[reportArgumentType] # duck-typed fakes + + +def test_non_leader_workers_push_to_redis_and_never_touch_the_database(): + redis = FakeRedis() + client = FakePrismaClient() + for _ in range(3): + acc = GatewayRequestAccumulator() + _record(acc, 200) + buffer, _ = _buffer(redis, leader=False) + asyncio.run(flush_gateway_requests(client, acc, buffer)) + + assert client.db.statements == [] + assert len(redis.lists[REDIS_GATEWAY_REQUESTS_BUFFER_KEY]) == 3 + + +def test_leader_folds_every_workers_snapshot_into_one_statement(): + """Fifty workers each flushing the same routes must cost the primary one statement, not fifty.""" + redis = FakeRedis() + client = FakePrismaClient() + for _ in range(50): + acc = GatewayRequestAccumulator() + _record(acc, 200) + _record(acc, 500, route="/responses") + buffer, _ = _buffer(redis, leader=False) + asyncio.run(flush_gateway_requests(client, acc, buffer)) + + leader_acc = GatewayRequestAccumulator() + _record(leader_acc, 200) + leader, lock = _buffer(redis, leader=True) + asyncio.run(flush_gateway_requests(client, leader_acc, leader)) + + assert len(client.db.statements) == 1 + assert _rows_written(client) == [ + (_today(), "llm", "/chat/completions", 51, 0), + (_today(), "llm", "/responses", 0, 50), + ] + assert redis.lists[REDIS_GATEWAY_REQUESTS_BUFFER_KEY] == [] + assert lock.held == [GATEWAY_REQUESTS_JOB_NAME] + assert lock.released == [] + + +def test_leader_keeps_the_lease_so_staggered_pods_cost_one_statement_per_interval(): + """Pods flush on their own clocks; without the lease each one would win the lock in turn and commit alone.""" + redis = FakeRedis() + client = FakePrismaClient() + lease = FakeLease() + pods = tuple( + GatewayRequestRedisBuffer(redis_cache=redis, pod_lock_manager=FakeLeasePodLock(lease, f"pod-{i}")) # pyright: ignore[reportArgumentType] # duck-typed fakes + for i in range(4) + ) + + for _interval in range(3): + for pod in pods: + acc = GatewayRequestAccumulator() + _record(acc, 200) + asyncio.run(flush_gateway_requests(client, acc, pod)) + + assert lease.holder == "pod-0" + assert len(client.db.statements) == 3 + assert [row[3] for row in _rows_written(client)] == [1, 4, 4] + assert len(redis.lists[REDIS_GATEWAY_REQUESTS_BUFFER_KEY]) == 3 + + +def test_leader_drains_a_backlog_deeper_than_one_capped_pop(): + """More workers than MAX_REDIS_BUFFER_DEQUEUE_COUNT must not leave a growing tail queued behind the cap.""" + redis = FakeRedis() + client = FakePrismaClient() + workers = MAX_REDIS_BUFFER_DEQUEUE_COUNT * 2 + 1 + for _ in range(workers): + acc = GatewayRequestAccumulator() + _record(acc, 200) + buffer, _ = _buffer(redis, leader=False) + asyncio.run(flush_gateway_requests(client, acc, buffer)) + + leader, _ = _buffer(redis, leader=True) + asyncio.run(flush_gateway_requests(client, GatewayRequestAccumulator(), leader)) + + assert len(client.db.statements) == 1 + assert _rows_written(client) == [(_today(), "llm", "/chat/completions", workers, 0)] + assert redis.lists[REDIS_GATEWAY_REQUESTS_BUFFER_KEY] == [] + + +def test_leader_with_nothing_buffered_writes_nothing(): + redis = FakeRedis() + client = FakePrismaClient() + leader, lock = _buffer(redis, leader=True) + + asyncio.run(flush_gateway_requests(client, GatewayRequestAccumulator(), leader)) + + assert client.db.statements == [] + assert lock.released == [] + + +def test_leader_requeues_to_redis_when_the_database_commit_fails(): + """Counts popped from Redis are gone from every worker; a failed commit must put them back.""" + redis = FakeRedis() + acc = GatewayRequestAccumulator() + _record(acc, 200) + _record(acc, 200) + leader, lock = _buffer(redis, leader=True) + + asyncio.run(flush_gateway_requests(ExplodingClient(), acc, leader)) + + assert len(redis.lists[REDIS_GATEWAY_REQUESTS_BUFFER_KEY]) == 1 + assert lock.released == [] + assert acc.drain() == {} + + client = FakePrismaClient() + retry, _ = _buffer(redis, leader=True) + asyncio.run(flush_gateway_requests(client, GatewayRequestAccumulator(), retry)) + assert _rows_written(client) == [(_today(), "llm", "/chat/completions", 2, 0)] + + +class ExplodingRedis(FakeRedis): + async def async_rpush(self, key: str, values: list[str]) -> int: + raise RuntimeError("redis gone") + + +class UnreadableRedis(FakeRedis): + async def async_lpop(self, key: str, count: int) -> list[str] | None: + raise RuntimeError("redis gone mid-flush") + + +class UnwritableRedis(FakeRedis): + """Pops succeed, pushes fail: a Redis that went read-only between the leader's pop and its re-queue.""" + + async def async_rpush(self, key: str, values: list[str]) -> int: + raise RuntimeError("redis read-only") + + +def test_leader_keeps_popped_counts_in_memory_when_both_the_database_and_the_requeue_fail(): + """The pop removed the only copy; if Redis will not take it back the leader itself must carry it.""" + redis = FakeRedis() + worker_acc = GatewayRequestAccumulator() + _record(worker_acc, 200) + _record(worker_acc, 200) + worker, _ = _buffer(redis, leader=False) + asyncio.run(flush_gateway_requests(FakePrismaClient(), worker_acc, worker)) + + degraded = UnwritableRedis() + degraded.lists = redis.lists + leader_acc = GatewayRequestAccumulator() + leader, _ = _buffer(degraded, leader=True) + asyncio.run(flush_gateway_requests(ExplodingClient(), leader_acc, leader)) + assert degraded.lists[REDIS_GATEWAY_REQUESTS_BUFFER_KEY] == [] + + client = FakePrismaClient() + retry, _ = _buffer(redis, leader=True) + asyncio.run(flush_gateway_requests(client, leader_acc, retry)) + assert _rows_written(client) == [(_today(), "llm", "/chat/completions", 2, 0)] + + +def test_leader_whose_redis_read_fails_leaves_the_pushed_rows_for_the_next_flush(): + """The scheduler job must not raise, and nothing is popped so nothing needs restoring anywhere.""" + redis = UnreadableRedis() + acc = GatewayRequestAccumulator() + _record(acc, 200) + client = FakePrismaClient() + leader, _ = _buffer(redis, leader=True) + + asyncio.run(flush_gateway_requests(client, acc, leader)) + + assert client.db.statements == [] + assert acc.drain() == {} + assert len(redis.lists[REDIS_GATEWAY_REQUESTS_BUFFER_KEY]) == 1 + + +def test_failed_redis_push_keeps_counts_locally_for_the_next_flush(): + acc = GatewayRequestAccumulator() + _record(acc, 200) + _record(acc, 500) + buffer, lock = _buffer(ExplodingRedis(), leader=True) + + asyncio.run(flush_gateway_requests(FakePrismaClient(), acc, buffer)) + + assert lock.held == [] + assert acc.drain() == { + GatewayRequestKey(date=_today(), category="llm", route="/chat/completions"): ( + GatewayRequestCounts(successful_requests=1, failed_requests=1) + ) + } diff --git a/tests/test_litellm/proxy/db/test_prisma_client.py b/tests/test_litellm/proxy/db/test_prisma_client.py index 7f43e483557..963f6a5640f 100644 --- a/tests/test_litellm/proxy/db/test_prisma_client.py +++ b/tests/test_litellm/proxy/db/test_prisma_client.py @@ -291,6 +291,56 @@ def test_azure_entra_mint_writes_an_encoded_url_into_the_db_url_env_var(azure_en assert os.environ["DATABASE_URL"] == db_url +@pytest.mark.parametrize( + ("previous_query", "expected_query"), + [ + ("max_idle_connection_lifetime=60", {"max_idle_connection_lifetime": ["60"]}), + ( + "connection_limit=20&pgbouncer=true&max_idle_connection_lifetime=45", + {"connection_limit": ["20"], "pgbouncer": ["true"], "max_idle_connection_lifetime": ["45"]}, + ), + ], +) +def test_token_refresh_keeps_the_connection_params_of_the_url_it_replaces( + azure_env, monkeypatch, previous_query, expected_query +): + old_token = _entra_jwt(60) + monkeypatch.setenv( + "DATABASE_URL", + f"postgresql://litellm%40contoso.onmicrosoft.com:{urllib.parse.quote(old_token, safe='')}" + f"@pg.postgres.database.azure.com:5432/litellm_db?{previous_query}", + ) + new_token = _entra_jwt(3600) + + db_url = _azure_wrapper(new_token).get_rds_iam_token() + + assert db_url is not None + assert os.environ["DATABASE_URL"] == db_url + assert urllib.parse.quote(new_token, safe="") in db_url + assert urllib.parse.parse_qs(urllib.parse.urlsplit(db_url).query) == expected_query + + +def test_token_refresh_keeps_the_reader_url_params_separate_from_the_writer(azure_env, monkeypatch): + from litellm.proxy.db.token_auth import IAMEndpoint + + monkeypatch.setenv("DATABASE_URL", "postgresql://w:t@pg:5432/litellm_db?max_idle_connection_lifetime=45") + monkeypatch.setenv( + "DATABASE_URL_READ_REPLICA", "postgresql://r:t@replica:5432/litellm_db?max_idle_connection_lifetime=60" + ) + reader = _azure_wrapper( + _entra_jwt(3600), + db_url_env_var="DATABASE_URL_READ_REPLICA", + iam_endpoint=IAMEndpoint(host="replica", port="5432", user="r", name="litellm_db", schema=None), + ) + + reader_url = reader.get_rds_iam_token() + + assert reader_url is not None + assert reader_url.startswith("postgresql://r:") + assert urllib.parse.parse_qs(urllib.parse.urlsplit(reader_url).query) == {"max_idle_connection_lifetime": ["60"]} + assert os.environ["DATABASE_URL"].endswith("?max_idle_connection_lifetime=45") + + def test_azure_entra_refresh_is_scheduled_off_the_jwt_expiry(azure_env): """Without reading `exp` this falls back to a fixed 600s interval, which silently outlives a token and breaks every reconnect after it lapses (issue #29661).""" diff --git a/tests/test_litellm/proxy/db/test_query_engine_reaper.py b/tests/test_litellm/proxy/db/test_query_engine_reaper.py index efcecb4bc08..5018176854e 100644 --- a/tests/test_litellm/proxy/db/test_query_engine_reaper.py +++ b/tests/test_litellm/proxy/db/test_query_engine_reaper.py @@ -3,6 +3,7 @@ import signal import subprocess import sys import time +from typing import Final from unittest.mock import MagicMock, patch import pytest @@ -15,7 +16,6 @@ from litellm.proxy.db.query_engine_reaper import ( _try_reap, list_orphaned_engine_pids, reap_orphaned_engines, - set_child_subreaper, start_query_engine_reaper, terminate_and_reap, terminate_and_reap_all, @@ -79,11 +79,19 @@ class TestListOrphanedEnginePids: class TestSetChildSubreaper: def test_matches_platform_capability(self): - result = set_child_subreaper() - if sys.platform.startswith("linux"): - assert result is True - else: - assert result is False + result: Final = subprocess.run( + [ + sys.executable, + "-c", + "import sys; " + "from litellm.proxy.db.query_engine_reaper import set_child_subreaper; " + "assert set_child_subreaper() is sys.platform.startswith('linux')", + ], + capture_output=True, + text=True, + timeout=30, + ) + assert result.returncode == 0, result.stderr @pytest.mark.skipif(sys.platform == "win32", reason="POSIX signals and waitpid") diff --git a/tests/test_litellm/proxy/guardrails/guardrail_hooks/openai/test_moderations.py b/tests/test_litellm/proxy/guardrails/guardrail_hooks/openai/test_moderations.py index 2b43720a126..615d06b0f42 100644 --- a/tests/test_litellm/proxy/guardrails/guardrail_hooks/openai/test_moderations.py +++ b/tests/test_litellm/proxy/guardrails/guardrail_hooks/openai/test_moderations.py @@ -3,14 +3,19 @@ Test OpenAI Moderation Guardrail """ +import json import os +from typing import Final from unittest.mock import MagicMock, patch +import httpx import pytest +from litellm.llms.custom_httpx.http_handler import AsyncHTTPHandler from litellm.proxy._types import UserAPIKeyAuth +from litellm.proxy.common_utils.callback_utils import get_logging_caching_headers from litellm.proxy.guardrails.guardrail_hooks.openai.moderations import ( OpenAIModerationGuardrail, ) @@ -989,3 +994,30 @@ async def test_openai_moderation_initialize_guardrail_forwards_streaming_flags() assert guardrail.streaming_sampling_rate == 2 finally: litellm.logging_callback_manager._reset_all_callbacks() + + +@pytest.mark.asyncio +@pytest.mark.parametrize(("input_type", "stage"), [("request", "pre_call"), ("response", "post_call")]) +async def test_openai_moderation_records_moderation_id_as_scan_metadata(input_type: str, stage: str): + """Each moderation call's id is exposed with the guardrail name, stage and provider that produced it.""" + payload: Final = { + "id": f"modr-{stage}", + "model": "omni-moderation-latest", + "results": [{"flagged": False, "categories": {}, "category_scores": {}, "category_applied_input_types": {}}], + } + http_client: Final = AsyncHTTPHandler() + http_client.client = httpx.AsyncClient(transport=httpx.MockTransport(lambda _: httpx.Response(200, json=payload))) + + with patch.dict(os.environ, {"OPENAI_API_KEY": "test-key"}): + guardrail: Final = OpenAIModerationGuardrail(guardrail_name="openai-mod") + guardrail.async_handler = http_client + request_data: Final[dict[str, object]] = {"metadata": {}} + + await guardrail.apply_guardrail(inputs={"texts": ["hello"]}, request_data=request_data, input_type=input_type) + + headers: Final = get_logging_caching_headers(request_data) + assert headers is not None + assert headers["x-litellm-guardrail-scan-id"] == f"modr-{stage}" + assert json.loads(headers["x-litellm-guardrail-scan-metadata"]) == [ + {"guardrail": "openai-mod", "stage": stage, "provider": "openai_moderation", "scan_id": f"modr-{stage}"} + ] diff --git a/tests/test_litellm/proxy/guardrails/guardrail_hooks/test_panw_prisma_airs.py b/tests/test_litellm/proxy/guardrails/guardrail_hooks/test_panw_prisma_airs.py index 8f29ba66814..3d7c6e06d94 100644 --- a/tests/test_litellm/proxy/guardrails/guardrail_hooks/test_panw_prisma_airs.py +++ b/tests/test_litellm/proxy/guardrails/guardrail_hooks/test_panw_prisma_airs.py @@ -12,6 +12,7 @@ This test file follows LiteLLM's testing patterns and covers: import copy import json from datetime import datetime +from typing import Final from unittest.mock import AsyncMock, MagicMock, patch import httpx @@ -5785,7 +5786,14 @@ class TestPanwAirsScanIdExposure: headers = get_logging_caching_headers(data) assert headers["x-litellm-guardrail-scan-id"] == "scan-abc-123" - assert "x-litellm-guardrail-scan-metadata" not in headers + assert json.loads(headers["x-litellm-guardrail-scan-metadata"]) == [ + { + "guardrail": handler.guardrail_name, + "stage": "pre_call", + "provider": "panw_prisma_airs", + "scan_id": "scan-abc-123", + } + ] @pytest.mark.asyncio async def test_request_and_response_scan_ids_are_both_exposed(self, user_api_key_dict): @@ -5809,6 +5817,26 @@ class TestPanwAirsScanIdExposure: headers = get_logging_caching_headers(data) assert headers["x-litellm-guardrail-scan-id"] == "scan-abc-123,scan-response-456" + assert [(e["stage"], e["scan_id"]) for e in json.loads(headers["x-litellm-guardrail-scan-metadata"])] == [ + ("pre_call", "scan-abc-123"), + ("post_call", "scan-response-456"), + ] + + @pytest.mark.asyncio + async def test_apply_guardrail_response_scan_is_tagged_post_call(self): + from litellm.proxy.common_utils.callback_utils import get_logging_caching_headers + + handler: Final = self._handler(self.ALLOW_SCAN_RESULT) + request_data: Final[dict[str, object]] = {"litellm_call_id": "test-call-id", "model": "gpt-4", "metadata": {}} + + await handler.apply_guardrail( + inputs={"texts": ["Hello world"]}, request_data=request_data, input_type="response" + ) + + headers: Final = get_logging_caching_headers(request_data) + assert headers is not None + entries: Final = json.loads(headers["x-litellm-guardrail-scan-metadata"]) + assert [(e["stage"], e["provider"]) for e in entries] == [("post_call", "panw_prisma_airs")] @pytest.mark.asyncio async def test_repeated_scan_id_is_not_duplicated(self, user_api_key_dict): @@ -5850,6 +5878,8 @@ class TestPanwAirsScanIdExposure: assert "guardrail_scan_ids" in _UNTRUSTED_METADATA_CONTROL_FIELDS assert "guardrail_scan_ids" in _UNTRUSTED_ROOT_CONTROL_FIELDS + assert "guardrail_scan_metadata" in _UNTRUSTED_METADATA_CONTROL_FIELDS + assert "guardrail_scan_metadata" in _UNTRUSTED_ROOT_CONTROL_FIELDS class TestPanwAirsBlockedErrorDetailPassthrough: """Regression tests for the full AIRS scan response on blocks. diff --git a/tests/test_litellm/proxy/image_endpoints/test_endpoints.py b/tests/test_litellm/proxy/image_endpoints/test_endpoints.py index 203391aadad..d8b3eef98bd 100644 --- a/tests/test_litellm/proxy/image_endpoints/test_endpoints.py +++ b/tests/test_litellm/proxy/image_endpoints/test_endpoints.py @@ -5,12 +5,12 @@ from typing import Any, Dict import orjson import pytest -from fastapi import FastAPI +from fastapi import FastAPI, HTTPException from fastapi.testclient import TestClient from starlette.requests import Request from starlette.responses import Response -from litellm.proxy._types import UserAPIKeyAuth +from litellm.proxy._types import ProxyException, UserAPIKeyAuth from litellm.proxy.auth.user_api_key_auth import user_api_key_auth from litellm.proxy.image_endpoints import endpoints @@ -167,3 +167,47 @@ def test_image_edit_multipart_n_that_is_not_a_number_is_left_alone(monkeypatch): assert response.status_code == 200 assert captured["n"] == "two" + + +@pytest.mark.asyncio +async def test_a_model_the_router_cannot_serve_answers_an_openai_typed_error(monkeypatch: pytest.MonkeyPatch): + """A bare HTTPException carries no type or param, so the tail used to ship the + literal string "None" in both fields.""" + + async def fake_add_litellm_data_to_request(**kwargs: object) -> object: + return kwargs["data"] + + async def fake_pre_call_hook(*, user_api_key_dict: UserAPIKeyAuth, data: dict[str, object], call_type: str) -> dict[str, object]: + return data + + async def fake_post_call_failure_hook(**_: object) -> None: + return None + + async def failing_route_request(**_: object) -> None: + raise HTTPException( + status_code=404, detail={"error": "image_generation: Invalid model name passed in model=dall-e-3"} + ) + + monkeypatch.setattr("litellm.proxy.proxy_server.add_litellm_data_to_request", fake_add_litellm_data_to_request) + monkeypatch.setattr("litellm.proxy.proxy_server.general_settings", {}) + monkeypatch.setattr("litellm.proxy.proxy_server.llm_router", None) + monkeypatch.setattr("litellm.proxy.proxy_server.proxy_config", {}) + monkeypatch.setattr( + "litellm.proxy.proxy_server.proxy_logging_obj", + SimpleNamespace(pre_call_hook=fake_pre_call_hook, post_call_failure_hook=fake_post_call_failure_hook), + ) + monkeypatch.setattr("litellm.proxy.proxy_server.user_model", None) + monkeypatch.setattr("litellm.proxy.proxy_server.version", "test-version") + monkeypatch.setattr("litellm.proxy.image_endpoints.endpoints.route_request", failing_route_request) + + body = orjson.dumps({"model": "dall-e-3", "prompt": "a lighthouse at dusk"}) + + async def receive() -> dict[str, object]: + return {"type": "http.request", "body": body, "more_body": False} + + request = Request({"type": "http", "method": "POST", "path": "/v1/images/generations", "headers": []}, receive) + + with pytest.raises(ProxyException) as raised: + await endpoints.image_generation(request=request, fastapi_response=Response(), user_api_key_dict=UserAPIKeyAuth()) + + assert (raised.value.type, raised.value.param, raised.value.code) == ("invalid_request_error", None, "404") diff --git a/tests/test_litellm/proxy/management_endpoints/test_common_daily_activity.py b/tests/test_litellm/proxy/management_endpoints/test_common_daily_activity.py index 37a54c4901a..6cd900cb041 100644 --- a/tests/test_litellm/proxy/management_endpoints/test_common_daily_activity.py +++ b/tests/test_litellm/proxy/management_endpoints/test_common_daily_activity.py @@ -492,7 +492,7 @@ async def test_get_api_key_metadata_recovers_double_hashed_key_via_reverse_hash( @pytest.mark.asyncio async def test_get_api_key_metadata_permanent_miss_never_pages_tokens_or_reads_spend_logs(): - """A dirty key no table can explain costs two digest lookups, never a token page walk or a SpendLogs scan.""" + """Without a spend-log window a dirty key no table can explain costs two digest lookups and never a token page walk.""" from litellm.proxy.utils import hash_token double_hashed = hash_token("b" * 64) @@ -518,6 +518,93 @@ async def test_get_api_key_metadata_permanent_miss_never_pages_tokens_or_reads_s assert all("take" not in call.kwargs and "skip" not in call.kwargs for call in token_lookups) +def _spend_log_transaction(mock_prisma: MagicMock, rows: list[dict[str, str | None]]) -> AsyncMock: + transaction = MagicMock() + transaction.execute_raw = AsyncMock(return_value=0) + transaction.query_raw = AsyncMock(return_value=rows) + mock_prisma.db.tx.return_value.__aenter__.return_value = transaction + return transaction.query_raw + + +def _spend_log_row(digest: str, key_alias: str, user_id: str) -> dict[str, str | None]: + return { + "digest": digest, + "first_alias": key_alias, + "last_alias": key_alias, + "first_team": None, + "last_team": None, + "first_owner": user_id, + "last_owner": user_id, + } + + +@pytest.mark.asyncio +async def test_get_api_key_metadata_permanent_miss_with_a_window_reads_spend_logs_once_within_it(): + from litellm.proxy.utils import hash_token + + double_hashed = hash_token("permanent-miss-with-window-6852") + window = (datetime(2024, 1, 1), datetime(2024, 1, 4)) + mock_prisma = MagicMock() + mock_prisma.db.litellm_verificationtoken.find_many = AsyncMock(return_value=[]) + mock_prisma.db.litellm_deletedverificationtoken.find_many = AsyncMock(return_value=[]) + mock_prisma.db.litellm_usertable.find_many = AsyncMock(return_value=[]) + mock_prisma.db.query_raw = AsyncMock(return_value=[]) + spend_log_query_raw = _spend_log_transaction(mock_prisma, []) + + result = await get_api_key_metadata(prisma_client=mock_prisma, api_keys={double_hashed}, spend_logs_window=window) + + assert double_hashed not in result + assert mock_prisma.db.query_raw.await_count == 2 + ((_, digests, start, end),) = [call.args for call in spend_log_query_raw.call_args_list] + assert digests == [double_hashed] + assert (start, end) == window + + +@pytest.mark.asyncio +async def test_get_daily_activity_recovers_a_session_key_alias_from_spend_logs_around_the_page_dates(): + from litellm.proxy.utils import hash_token + + session_digest = hash_token("cli-session-daily-activity-6852") + records = [_daily_user_spend_record(user_id="session-user", api_key=session_digest, spend=1.5)] + mock_prisma = MagicMock() + mock_prisma.db = MagicMock() + mock_table = MagicMock() + mock_table.count = AsyncMock(return_value=len(records)) + mock_table.find_many = AsyncMock(return_value=records) + mock_prisma.db.litellm_dailyuserspend = mock_table + mock_prisma.db.litellm_verificationtoken.find_many = AsyncMock(return_value=[]) + mock_prisma.db.litellm_deletedverificationtoken.find_many = AsyncMock(return_value=[]) + mock_prisma.db.litellm_usertable.find_many = AsyncMock( + return_value=[SimpleNamespace(user_id="session-user", user_email="session@example.com")] + ) + + mock_prisma.db.query_raw = AsyncMock(return_value=[]) + spend_log_query_raw = _spend_log_transaction( + mock_prisma, [_spend_log_row(session_digest, "cli-session-alias", "session-user")] + ) + + result = await get_daily_activity( + prisma_client=mock_prisma, + table_name="litellm_dailyuserspend", + entity_id_field="user_id", + entity_id=None, + entity_metadata_field=None, + start_date="2024-01-01", + end_date="2024-01-01", + model=None, + api_key=None, + page=1, + page_size=1000, + ) + + key_metadata = result.results[0].breakdown.api_keys[session_digest].metadata + assert key_metadata.key_alias == "cli-session-alias" + assert key_metadata.user_email == "session@example.com" + ((_, digests, start, end),) = [call.args for call in spend_log_query_raw.call_args_list] + assert digests == [session_digest] + assert (start, end) == (datetime(2023, 12, 31), datetime(2024, 1, 3)) + + def test_key_metadata_includes_recovered_user_email(): from litellm.proxy.management_endpoints.common_daily_activity import _key_metadata @@ -2105,3 +2192,48 @@ async def test_get_daily_activity_aggregated_with_entity_breakdown(): # Rollups with the entity bit set must still land in their usual buckets assert daily.breakdown.models["gpt-4o"].metrics.spend == 18.0 assert daily.breakdown.api_keys["key-1"].metrics.spend == 12.0 + + +@pytest.mark.asyncio +async def test_get_api_key_metadata_resolves_session_key_via_spend_log_window(): + from litellm.proxy.utils import hash_token + + session_digest = hash_token("cli-session-user-42") + mock_prisma = MagicMock() + mock_prisma.db.litellm_verificationtoken.find_many = AsyncMock(return_value=[]) + mock_prisma.db.litellm_deletedverificationtoken.find_many = AsyncMock(return_value=[]) + mock_prisma.db.litellm_usertable.find_many = AsyncMock( + return_value=[SimpleNamespace(user_id="user-42", user_email="user42@example.com")] + ) + + mock_prisma.db.query_raw = AsyncMock(return_value=[]) + spend_log_query_raw = _spend_log_transaction( + mock_prisma, [_spend_log_row(session_digest, "cli-session-user-42", "user-42")] + ) + + result = await get_api_key_metadata( + prisma_client=mock_prisma, + api_keys={session_digest}, + spend_logs_window=(datetime(2026, 9, 7), datetime(2026, 9, 10)), + ) + + assert result[session_digest]["key_alias"] == "cli-session-user-42" + assert result[session_digest]["user_id"] == "user-42" + assert result[session_digest]["user_email"] == "user42@example.com" + ((_, digests, start, end),) = [call.args for call in spend_log_query_raw.call_args_list] + assert digests == [session_digest] + assert (start, end) == (datetime(2026, 9, 7), datetime(2026, 9, 10)) + + +def test_spend_logs_window_pads_min_minus_one_day_and_max_plus_two_days(): + from litellm.proxy.management_endpoints.common_daily_activity import _spend_logs_window + + window = _spend_logs_window({"2026-09-08", "2026-09-05", "not-a-date"}) + + assert window == (datetime(2026, 9, 4), datetime(2026, 9, 10)) + + +def test_spend_logs_window_is_none_when_no_date_parses(): + from litellm.proxy.management_endpoints.common_daily_activity import _spend_logs_window + + assert _spend_logs_window({"garbage", ""}) is None diff --git a/tests/test_litellm/proxy/management_endpoints/test_cost_tracking_settings.py b/tests/test_litellm/proxy/management_endpoints/test_cost_tracking_settings.py index ec62cc47018..7ece35ceedf 100644 --- a/tests/test_litellm/proxy/management_endpoints/test_cost_tracking_settings.py +++ b/tests/test_litellm/proxy/management_endpoints/test_cost_tracking_settings.py @@ -4,13 +4,17 @@ Tests for cost tracking settings management endpoints. Tests the GET and PATCH endpoints for managing cost discount configuration. """ +from datetime import datetime, timezone from unittest.mock import AsyncMock, MagicMock, patch import pytest from fastapi.testclient import TestClient +from pydantic import ValidationError import litellm +from litellm._internal_context import pinned_billing_time +from litellm.proxy._types import CostEstimateRequest from litellm.proxy.management_endpoints.cost_tracking_settings import router from litellm.proxy.proxy_server import app @@ -789,13 +793,13 @@ INPUT_TOKENS = 1000 OUTPUT_TOKENS = 500 -def _router_pricing(**pricing: float) -> MagicMock: +def _router_pricing(model: str = AN_UNDERLYING_MODEL, **pricing: float) -> MagicMock: mock_router = MagicMock() mock_router.get_model_list.return_value = [ { "model_name": AN_ALIAS, "litellm_params": { - "model": AN_UNDERLYING_MODEL, + "model": model, "custom_llm_provider": "openai", **pricing, }, @@ -811,9 +815,7 @@ async def _estimate(mock_router: MagicMock | None, model: str = AN_ALIAS, **over request = CostEstimateRequest( model=model, - input_tokens=INPUT_TOKENS, - output_tokens=OUTPUT_TOKENS, - **overrides, + **{"input_tokens": INPUT_TOKENS, "output_tokens": OUTPUT_TOKENS, **overrides}, ) with patch( # test-quality-ok: proxy_server module global is the endpoint's only injection point "litellm.proxy.proxy_server.llm_router", mock_router @@ -909,3 +911,299 @@ class TestEstimateCostPeriodTotals: assert response.cost_per_request == pytest.approx(0.0022) assert response.daily_margin_cost == pytest.approx(0.02) assert response.daily_cost == pytest.approx(0.22) + + +CACHE_READ_TOKENS = 800 +CACHE_CREATION_TOKENS = 100 +REASONING_TOKENS = 200 +TEXT_INPUT_TOKENS = INPUT_TOKENS - CACHE_READ_TOKENS - CACHE_CREATION_TOKENS +TEXT_OUTPUT_TOKENS = OUTPUT_TOKENS - REASONING_TOKENS + + +async def _estimate_with_cache_and_reasoning(mock_router: MagicMock | None, model: str = AN_ALIAS, **overrides: int): + return await _estimate( + mock_router, + model=model, + cache_read_input_tokens=CACHE_READ_TOKENS, + cache_creation_input_tokens=CACHE_CREATION_TOKENS, + reasoning_tokens=REASONING_TOKENS, + **overrides, + ) + + +class TestEstimateCostCacheAndReasoningTokens: + @pytest.mark.asyncio + async def test_a_mapped_model_bills_cache_and_reasoning_tokens_at_their_own_rates(self, monkeypatch): + monkeypatch.setitem( + litellm.model_cost, + A_MAPPED_MODEL, + { + "input_cost_per_token": 3e-6, + "output_cost_per_token": 15e-6, + "cache_read_input_token_cost": 3e-7, + "cache_creation_input_token_cost": 3.75e-6, + "output_cost_per_reasoning_token": 1e-5, + "litellm_provider": "openai", + "mode": "chat", + }, + ) + + response = await _estimate_with_cache_and_reasoning(None, model=A_MAPPED_MODEL, num_requests_per_day=10) + + assert response.cache_read_cost_per_request == pytest.approx(CACHE_READ_TOKENS * 3e-7) + assert response.cache_creation_cost_per_request == pytest.approx(CACHE_CREATION_TOKENS * 3.75e-6) + assert response.reasoning_cost_per_request == pytest.approx(REASONING_TOKENS * 1e-5) + assert response.input_cost_per_request == pytest.approx( + TEXT_INPUT_TOKENS * 3e-6 + CACHE_READ_TOKENS * 3e-7 + CACHE_CREATION_TOKENS * 3.75e-6 + ) + assert response.output_cost_per_request == pytest.approx(TEXT_OUTPUT_TOKENS * 15e-6 + REASONING_TOKENS * 1e-5) + assert response.cost_per_request == pytest.approx( + response.input_cost_per_request + response.output_cost_per_request + ) + assert response.daily_cache_read_cost == pytest.approx(10 * CACHE_READ_TOKENS * 3e-7) + assert response.daily_cache_creation_cost == pytest.approx(10 * CACHE_CREATION_TOKENS * 3.75e-6) + assert response.daily_reasoning_cost == pytest.approx(10 * REASONING_TOKENS * 1e-5) + assert response.monthly_cache_read_cost is None + assert response.cache_read_input_token_cost == pytest.approx(3e-7) + assert response.cache_creation_input_token_cost == pytest.approx(3.75e-6) + assert response.output_cost_per_reasoning_token == pytest.approx(1e-5) + assert ( + response.cache_read_input_tokens, + response.cache_creation_input_tokens, + response.reasoning_tokens, + ) == (CACHE_READ_TOKENS, CACHE_CREATION_TOKENS, REASONING_TOKENS) + + @pytest.mark.asyncio + async def test_a_model_without_cache_or_reasoning_prices_estimates_what_the_proxy_bills(self, monkeypatch): + """The cost calculator bills cache tokens of a cost-map model without cache prices at zero + and its reasoning tokens at the output rate. The estimate reports those effective rates.""" + monkeypatch.setitem( + litellm.model_cost, + A_MAPPED_MODEL, + {"input_cost_per_token": 5e-6, "output_cost_per_token": 6e-6, "litellm_provider": "openai", "mode": "chat"}, + ) + + response = await _estimate_with_cache_and_reasoning(None, model=A_MAPPED_MODEL) + + assert response.cache_read_cost_per_request == 0.0 + assert response.cache_creation_cost_per_request == 0.0 + assert response.reasoning_cost_per_request == pytest.approx(REASONING_TOKENS * 6e-6) + assert response.input_cost_per_request == pytest.approx(TEXT_INPUT_TOKENS * 5e-6) + assert response.cost_per_request == pytest.approx(TEXT_INPUT_TOKENS * 5e-6 + OUTPUT_TOKENS * 6e-6) + assert response.cache_read_input_token_cost == 0.0 + assert response.cache_creation_input_token_cost == 0.0 + assert response.output_cost_per_reasoning_token == pytest.approx(6e-6) + + @pytest.mark.asyncio + async def test_a_request_without_cache_or_reasoning_tokens_estimates_as_before(self, monkeypatch): + monkeypatch.setitem( + litellm.model_cost, + A_MAPPED_MODEL, + { + "input_cost_per_token": 3e-6, + "output_cost_per_token": 15e-6, + "cache_read_input_token_cost": 3e-7, + "cache_creation_input_token_cost": 3.75e-6, + "output_cost_per_reasoning_token": 1e-5, + "litellm_provider": "openai", + "mode": "chat", + }, + ) + + response = await _estimate(None, model=A_MAPPED_MODEL, num_requests_per_day=10) + + assert response.cost_per_request == pytest.approx(INPUT_TOKENS * 3e-6 + OUTPUT_TOKENS * 15e-6) + assert response.cache_read_cost_per_request == 0.0 + assert response.cache_creation_cost_per_request == 0.0 + assert response.reasoning_cost_per_request == 0.0 + assert response.daily_cache_read_cost == 0.0 + assert response.daily_reasoning_cost == 0.0 + + @pytest.mark.asyncio + async def test_a_custom_priced_deployment_bills_cache_and_reasoning_tokens_from_its_flat_rates(self): + response = await _estimate_with_cache_and_reasoning( + _router_pricing(input_cost_per_token=1e-6, output_cost_per_token=2e-6, cache_read_input_token_cost=1e-7) + ) + + assert response.cache_read_cost_per_request == pytest.approx(CACHE_READ_TOKENS * 1e-7) + assert response.cache_creation_cost_per_request == pytest.approx(CACHE_CREATION_TOKENS * 1e-6) + assert response.reasoning_cost_per_request == pytest.approx(REASONING_TOKENS * 2e-6) + assert response.cost_per_request == pytest.approx( + TEXT_INPUT_TOKENS * 1e-6 + CACHE_READ_TOKENS * 1e-7 + CACHE_CREATION_TOKENS * 1e-6 + OUTPUT_TOKENS * 2e-6 + ) + assert response.cache_read_input_token_cost == pytest.approx(1e-7) + assert response.cache_creation_input_token_cost == pytest.approx(1e-6) + assert response.output_cost_per_reasoning_token == pytest.approx(2e-6) + + @pytest.mark.asyncio + async def test_a_custom_priced_deployment_of_a_mapped_model_inherits_its_built_in_cache_rates(self, monkeypatch): + monkeypatch.setitem( + litellm.model_cost, + A_MAPPED_MODEL, + { + "input_cost_per_token": 5e-6, + "output_cost_per_token": 6e-6, + "cache_read_input_token_cost": 5e-7, + "cache_creation_input_token_cost": 6.25e-6, + "litellm_provider": "openai", + "mode": "chat", + }, + ) + + response = await _estimate_with_cache_and_reasoning( + _router_pricing(model=A_MAPPED_MODEL, input_cost_per_token=1e-6, output_cost_per_token=2e-6) + ) + + assert response.cache_read_cost_per_request == pytest.approx(CACHE_READ_TOKENS * 5e-7) + assert response.cache_creation_cost_per_request == pytest.approx(CACHE_CREATION_TOKENS * 6.25e-6) + assert response.input_cost_per_request == pytest.approx( + TEXT_INPUT_TOKENS * 1e-6 + CACHE_READ_TOKENS * 5e-7 + CACHE_CREATION_TOKENS * 6.25e-6 + ) + assert response.cache_read_input_token_cost == pytest.approx(5e-7) + assert response.cache_creation_input_token_cost == pytest.approx(6.25e-6) + + @pytest.mark.asyncio + async def test_a_tiered_model_reports_the_rates_its_lines_were_billed_at(self, monkeypatch): + """Above a token tier the calculator bills every line at the tier's rate, so the reported + rates must be the tier's too: each line equals its token count times the rate next to it.""" + monkeypatch.setitem( + litellm.model_cost, + A_MAPPED_MODEL, + { + "input_cost_per_token": 3e-6, + "output_cost_per_token": 15e-6, + "cache_read_input_token_cost": 3e-7, + "cache_creation_input_token_cost": 3.75e-6, + "input_cost_per_token_above_200k_tokens": 6e-6, + "output_cost_per_token_above_200k_tokens": 3e-5, + "cache_read_input_token_cost_above_200k_tokens": 6e-7, + "cache_creation_input_token_cost_above_200k_tokens": 7.5e-6, + "litellm_provider": "openai", + "mode": "chat", + }, + ) + + response = await _estimate( + None, + model=A_MAPPED_MODEL, + input_tokens=250_000, + cache_read_input_tokens=200_000, + cache_creation_input_tokens=10_000, + output_tokens=1_000, + reasoning_tokens=200, + ) + + assert response.input_cost_per_token == pytest.approx(6e-6) + assert response.output_cost_per_token == pytest.approx(3e-5) + assert response.cache_read_input_token_cost == pytest.approx(6e-7) + assert response.cache_creation_input_token_cost == pytest.approx(7.5e-6) + assert response.output_cost_per_reasoning_token == pytest.approx(3e-5) + assert response.cache_read_cost_per_request == pytest.approx(200_000 * response.cache_read_input_token_cost) + assert response.cache_creation_cost_per_request == pytest.approx( + 10_000 * response.cache_creation_input_token_cost + ) + assert response.reasoning_cost_per_request == pytest.approx(200 * response.output_cost_per_reasoning_token) + assert response.input_cost_per_request == pytest.approx( + 40_000 * response.input_cost_per_token + + response.cache_read_cost_per_request + + response.cache_creation_cost_per_request + ) + assert response.output_cost_per_request == pytest.approx(1_000 * response.output_cost_per_token) + + @pytest.mark.asyncio + async def test_a_quote_prices_its_totals_and_its_rates_at_the_same_moment(self, monkeypatch): + """The totals and the reported rates resolve off-peak pricing on separate paths. A quote + taken as a window opens must not bill on one side of it and report rates from the other.""" + monkeypatch.setitem( + litellm.model_cost, + A_MAPPED_MODEL, + { + "input_cost_per_token": 3e-6, + "output_cost_per_token": 15e-6, + "off_peak_pricing": { + "hours_utc": "02:00-03:00", + "input_cost_per_token": 1e-6, + "output_cost_per_token": 5e-6, + }, + "litellm_provider": "openai", + "mode": "chat", + }, + ) + + with pinned_billing_time(datetime(2026, 1, 1, 2, 30, tzinfo=timezone.utc)): + response = await _estimate(None, model=A_MAPPED_MODEL) + + assert response.input_cost_per_token == pytest.approx(1e-6) + assert response.output_cost_per_token == pytest.approx(5e-6) + assert response.input_cost_per_request == pytest.approx(INPUT_TOKENS * response.input_cost_per_token) + assert response.output_cost_per_request == pytest.approx(OUTPUT_TOKENS * response.output_cost_per_token) + + + @pytest.mark.asyncio + async def test_an_unrouted_model_reports_the_rates_of_the_provider_the_calculator_inferred(self, monkeypatch): + """The cost calculator infers a provider this endpoint never resolved, and the provider decides + whether a tier threshold is inclusive. xai bills a request sitting exactly on the 200k threshold + at the tier rate, so the reported rates have to be the tier's rather than the sub-tier base.""" + an_xai_model = "xai/tiered-model" + monkeypatch.setitem( + litellm.model_cost, + an_xai_model, + { + "input_cost_per_token": 3e-6, + "output_cost_per_token": 15e-6, + "cache_read_input_token_cost": 3e-7, + "input_cost_per_token_above_200k_tokens": 6e-6, + "output_cost_per_token_above_200k_tokens": 3e-5, + "cache_read_input_token_cost_above_200k_tokens": 6e-7, + "litellm_provider": "xai", + "mode": "chat", + }, + ) + + response = await _estimate( + None, + model=an_xai_model, + input_tokens=200_000, + cache_read_input_tokens=100_000, + output_tokens=1_000, + ) + + assert response.input_cost_per_token == pytest.approx(6e-6) + assert response.output_cost_per_token == pytest.approx(3e-5) + assert response.cache_read_input_token_cost == pytest.approx(6e-7) + assert response.cache_read_cost_per_request == pytest.approx(100_000 * response.cache_read_input_token_cost) + assert response.input_cost_per_request == pytest.approx( + 100_000 * response.input_cost_per_token + response.cache_read_cost_per_request + ) + assert response.output_cost_per_request == pytest.approx(1_000 * response.output_cost_per_token) + + +class TestCostEstimateRequestTokenSubsets: + def test_cache_tokens_beyond_the_input_tokens_are_rejected(self): + with pytest.raises(ValidationError, match="cannot exceed input_tokens"): + CostEstimateRequest( + model=AN_ALIAS, + input_tokens=INPUT_TOKENS, + output_tokens=OUTPUT_TOKENS, + cache_read_input_tokens=INPUT_TOKENS, + cache_creation_input_tokens=1, + ) + + def test_reasoning_tokens_beyond_the_output_tokens_are_rejected(self): + with pytest.raises(ValidationError, match="cannot exceed output_tokens"): + CostEstimateRequest( + model=AN_ALIAS, + input_tokens=INPUT_TOKENS, + output_tokens=OUTPUT_TOKENS, + reasoning_tokens=OUTPUT_TOKENS + 1, + ) + + def test_the_endpoint_answers_422_when_cache_tokens_exceed_input_tokens(self): + response = client.post( + "/cost/estimate", + headers={"Authorization": "Bearer sk-1234"}, + json={"model": AN_ALIAS, "input_tokens": 1000, "output_tokens": 100, "cache_read_input_tokens": 8000}, + ) + + assert response.status_code == 422 + assert "cannot exceed input_tokens" in response.text diff --git a/tests/test_litellm/proxy/management_endpoints/test_key_management_endpoints.py b/tests/test_litellm/proxy/management_endpoints/test_key_management_endpoints.py index a873a367eab..d2aeba18f7d 100644 --- a/tests/test_litellm/proxy/management_endpoints/test_key_management_endpoints.py +++ b/tests/test_litellm/proxy/management_endpoints/test_key_management_endpoints.py @@ -17975,6 +17975,32 @@ def test_key_request_blank_organization_id_is_unset(): assert UpdateKeyRequest(key="sk-1", organization_id="org-1").organization_id == "org-1" +def test_update_key_request_blank_team_id_is_not_a_team_change(): + from litellm.proxy._types import UpdateKeyRequest + from litellm.proxy.management_endpoints.key_management_endpoints import ( + is_different_team, + ) + + blank = UpdateKeyRequest(key="sk-1", team_id="", key_alias="renamed") + assert blank.team_id is None + assert "team_id" not in blank.model_dump(exclude_unset=True) + assert blank.model_dump(exclude_unset=True) == {"key": "sk-1", "key_alias": "renamed"} + assert is_different_team(data=blank, existing_key_row=LiteLLM_VerificationToken(token="hashed")) is False + assert ( + is_different_team(data=blank, existing_key_row=LiteLLM_VerificationToken(token="hashed", team_id="team-1")) + is False + ) + assert "team_id" in UpdateKeyRequest(key="sk-1", team_id=None).model_dump(exclude_unset=True) + assert UpdateKeyRequest(key="sk-1", team_id="team-1").team_id == "team-1" + assert ( + is_different_team( + data=UpdateKeyRequest(key="sk-1", team_id="team-1"), + existing_key_row=LiteLLM_VerificationToken(token="hashed"), + ) + is True + ) + + def test_key_generation_check_blank_team_id_uses_personal_permissions(monkeypatch): """key_generation_check with team_id="" must take the personal-key path instead of failing the team lookup with "Unable to find team object" (LIT-3925).""" diff --git a/tests/test_litellm/proxy/management_endpoints/test_team_callback_endpoints.py b/tests/test_litellm/proxy/management_endpoints/test_team_callback_endpoints.py index 08e931e6405..bdc12dad4bc 100644 --- a/tests/test_litellm/proxy/management_endpoints/test_team_callback_endpoints.py +++ b/tests/test_litellm/proxy/management_endpoints/test_team_callback_endpoints.py @@ -19,6 +19,7 @@ from litellm.proxy._types import ( LitellmUserRoles, UserAPIKeyAuth, ) +from litellm.proxy.common_utils.callback_config_validation import cross_entry_family_error from litellm.proxy.management_endpoints.team_callback_endpoints import ( add_team_callbacks, delete_team_callback, @@ -1443,3 +1444,118 @@ async def test_delete_team_callback_route_accepts_team_ids_containing_slashes(): assert response.json()["data"]["success_callbacks"] == ["langsmith"] written = json.loads(mock_prisma.db.litellm_teamtable.update.await_args.kwargs["data"]["metadata"]) assert [entry["callback_name"] for entry in written["logging"]] == ["langsmith"] + + +@pytest.mark.asyncio +@pytest.mark.parametrize( + "call_handler", + [ + lambda caller: add_team_callbacks( + data=AddTeamCallback( + callback_name="langfuse", + callback_type="success", + callback_vars={"langfuse_public_key": "pk", "langfuse_secret_key": "sk"}, + ), + http_request=Mock(spec=Request), + team_id="team-does-not-exist", + user_api_key_dict=caller, + ), + lambda caller: get_team_callbacks( + http_request=Mock(spec=Request), + team_id="team-does-not-exist", + user_api_key_dict=caller, + ), + lambda caller: delete_team_callback( + http_request=Mock(spec=Request), + team_id="team-does-not-exist", + callback_name="langfuse", + user_api_key_dict=caller, + ), + ], + ids=["add", "get", "delete"], +) +async def test_unknown_team_is_indistinguishable_from_no_access(call_handler, unauthorized_caller): + """An unauthorized caller must not learn whether a team id exists. + + These routes are reachable by any authenticated caller so a team admin can get + as far as the access check, so a distinct "does not exist" would turn them into + a probe for valid team ids. The unknown-team response has to match the + no-access one exactly, status and body. + """ + with patch("litellm.proxy.proxy_server.prisma_client") as mock_client: # test-quality-ok: the handler imports prisma_client from proxy_server at call time, so there is no seam to inject through + mock_client.get_data = AsyncMock(return_value=None) + with pytest.raises(HTTPException) as unknown_team: + await call_handler(unauthorized_caller) + + with patch("litellm.proxy.proxy_server.prisma_client") as mock_client: # test-quality-ok: the handler imports prisma_client from proxy_server at call time, so there is no seam to inject through + mock_client.get_data = AsyncMock(return_value=_team_row()) + mock_client.db.litellm_teamtable.update = AsyncMock() + with patch( # test-quality-ok: _verify_team_access calls this module-level helper directly, so there is no seam to inject through + "litellm.proxy.management_endpoints.team_endpoints._is_user_org_admin_for_team", + new_callable=AsyncMock, + return_value=False, + ): + with pytest.raises(HTTPException) as no_access: + await call_handler(unauthorized_caller) + + assert unknown_team.value.status_code == no_access.value.status_code == 403 + assert unknown_team.value.detail == no_access.value.detail + assert "does not exist" not in str(unknown_team.value.detail) + + +@pytest.mark.asyncio +async def test_proxy_admin_still_told_the_team_is_unknown(): + """The masking is only for callers who could not have managed the team; a proxy + admin keeps the diagnosable error.""" + admin = UserAPIKeyAuth(user_role=LitellmUserRoles.PROXY_ADMIN, user_id="admin", api_key="sk-admin") + with patch("litellm.proxy.proxy_server.prisma_client") as mock_client: # test-quality-ok: the handler imports prisma_client from proxy_server at call time, so there is no seam to inject through + mock_client.get_data = AsyncMock(return_value=None) + with pytest.raises(HTTPException) as exc: + await get_team_callbacks( + http_request=Mock(spec=Request), + team_id="team-does-not-exist", + user_api_key_dict=admin, + ) + + assert exc.value.status_code == 404 + assert "does not exist" in str(exc.value.detail) + + +@pytest.mark.parametrize( + "new_vars, stored, rejected", + [ + # the redirect, in every carrier a caller could pick: an entry naming + # only a host, pairing with a key pair written on another entry + ({"langfuse_host": "http://attacker.invalid"}, [{"langfuse_public_key": "pk", "langfuse_secret_key": "sk"}], True), + # the sibling carrier -- langfuse and langfuse_otel are one account + ({"langfuse_host": "http://attacker.invalid"}, [{"langfuse_host": "https://us.cloud.langfuse.com", "langfuse_secret_key": "sk"}], True), + # a destination variable no integration registry lists + ({"dd_agent_host": "attacker.invalid"}, [{"dd_api_key": "k", "dd_site": "us5.datadoghq.com"}], True), + # one entry owning its family end to end is the feature + ({"langfuse_host": "https://eu.cloud.langfuse.com", "langfuse_public_key": "pk", "langfuse_secret_key": "sk"}, [], False), + # a different family alongside an existing one stays fine + ({"gcs_bucket_name": "bucket"}, [{"langfuse_public_key": "pk", "langfuse_secret_key": "sk"}], False), + ({"langsmith_api_key": "k"}, [{"dd_api_key": "k"}], False), + # variables that configure no backend carry nothing to redirect + ({"turn_off_message_logging": "true"}, [{"langfuse_secret_key": "sk"}], False), + # the same integration registered for a second event: identical values + # flatten to the identical dict, so there is nothing to redirect + ({"langfuse_host": "https://us.cloud.langfuse.com", "langfuse_public_key": "pk", "langfuse_secret_key": "sk"}, [{"langfuse_host": "https://us.cloud.langfuse.com", "langfuse_public_key": "pk", "langfuse_secret_key": "sk"}], False), + # the same credential under its other spelling is the same credential + ({"langfuse_secret": "sk"}, [{"langfuse_public_key": "pk", "langfuse_secret_key": "sk"}], False), + # a value the family already holds cannot be moved into another of its + # variables either; the exporter would address or authenticate with it + ({"langfuse_host": "pk"}, [{"langfuse_host": "https://us.cloud.langfuse.com", "langfuse_public_key": "pk"}], True), + # the same shape with one value moved is the redirect again + ({"langfuse_host": "http://attacker.invalid", "langfuse_public_key": "pk", "langfuse_secret_key": "sk"}, [{"langfuse_host": "https://us.cloud.langfuse.com", "langfuse_public_key": "pk", "langfuse_secret_key": "sk"}], True), + ], +) +def test_one_entry_owns_a_credential_family(new_vars, stored, rejected): + """A team admin must not be able to redirect a credential they cannot read. + + The stored entries are flattened into one dict before a request reads them, + so an entry naming only a destination pairs with a key written elsewhere and + carries it to that destination. + """ + error = cross_entry_family_error(new_vars, stored) + assert (error is not None) is rejected diff --git a/tests/test_litellm/proxy/management_endpoints/test_team_endpoints.py b/tests/test_litellm/proxy/management_endpoints/test_team_endpoints.py index 051e6bed4fd..2f6561046b1 100644 --- a/tests/test_litellm/proxy/management_endpoints/test_team_endpoints.py +++ b/tests/test_litellm/proxy/management_endpoints/test_team_endpoints.py @@ -2205,6 +2205,50 @@ async def test_team_model_add_delete_refresh_team_cache(endpoint_name): assert update_call_kwargs.get("include", {}).get("object_permission") is True +@pytest.mark.asyncio +@pytest.mark.parametrize("endpoint_name", ["team_model_add", "team_model_delete"]) +async def test_team_model_add_delete_keep_model_aliases_in_team_cache(endpoint_name, monkeypatch): + """LIT-5858: Prisma only returns `litellm_model_table` when the `update` asks for it, so the refreshed + cache entry lost the team's model aliases and JWT alias requests 403'd until the next DB read.""" + from litellm.proxy._types import TeamModelAddRequest, TeamModelDeleteRequest + from litellm.proxy.auth.team_grants import team_model_aliases + from litellm.proxy.common_utils.user_api_key_cache import UserApiKeyCache + from litellm.proxy.management_endpoints.team_endpoints import team_model_add, team_model_delete + + columns = {"team_id": "team-1234", "models": ["gpt-4o", "openai/*"]} + alias_table = {"id": 1, "model_aliases": '{"fast": "gpt-4o"}', "created_by": "admin", "updated_by": "admin"} + + async def update(where, data, include=None): + row = {**columns, "litellm_model_table": alias_table} if (include or {}).get("litellm_model_table") else columns + return SimpleNamespace(team_id="team-1234", model_dump=lambda: row) + + prisma_client = MagicMock() + prisma_client.db.litellm_teamtable.find_unique = AsyncMock(return_value=SimpleNamespace(model_dump=lambda: columns)) + prisma_client.db.litellm_teamtable.update = AsyncMock(side_effect=update) + prisma_client.db.execute_raw = AsyncMock(return_value=None) + cache = UserApiKeyCache() + monkeypatch.setattr("litellm.proxy.proxy_server.prisma_client", prisma_client) + monkeypatch.setattr("litellm.proxy.proxy_server.user_api_key_cache", cache) + monkeypatch.setattr("litellm.proxy.proxy_server.proxy_logging_obj", None) + + admin = UserAPIKeyAuth(user_role=LitellmUserRoles.PROXY_ADMIN, user_id="admin") + if endpoint_name == "team_model_add": + await team_model_add( + data=TeamModelAddRequest(team_id="team-1234", models=["team-byok-1"]), + http_request=MagicMock(), + user_api_key_dict=admin, + ) + else: + await team_model_delete( + data=TeamModelDeleteRequest(team_id="team-1234", models=["openai/*"]), + http_request=MagicMock(), + user_api_key_dict=admin, + ) + + cached_team = await cache.async_get_cache(key="team_id:team-1234", model_type=LiteLLM_TeamTableCachedObj) + assert team_model_aliases(cached_team) == {"fast": "gpt-4o"} + + @pytest.mark.asyncio @pytest.mark.parametrize( "endpoint_name", diff --git a/tests/test_litellm/proxy/openai_files_endpoint/test_files_endpoint.py b/tests/test_litellm/proxy/openai_files_endpoint/test_files_endpoint.py index bca97915347..5f1e7e1fe0c 100644 --- a/tests/test_litellm/proxy/openai_files_endpoint/test_files_endpoint.py +++ b/tests/test_litellm/proxy/openai_files_endpoint/test_files_endpoint.py @@ -2920,9 +2920,9 @@ def test_unscoped_list_files_accepts_every_documented_purpose( def test_list_files_reports_a_bad_target_model_names_as_a_400( mocker: MockerFixture, monkeypatch, llm_router: Router ): - """The exception tail reports an HTTPException with its own status and error - type rather than relabelling it, so a client that branches on either keeps - reading the same thing off a bad request.""" + """The exception tail answers with the OpenAI error object a client can branch on: + the type its 400 status stands for, and a JSON null param rather than the literal + string "None" no OpenAI SDK has a case for.""" _setup_unscoped_list_files_route(mocker, monkeypatch, llm_router, _permissive_afile_list) response = _get_list_files("/v1/files?target_model_names=gpt-3.5-turbo,gpt-4o") @@ -2931,8 +2931,8 @@ def test_list_files_reports_a_bad_target_model_names_as_a_400( assert response.json() == { "error": { "message": "target_model_names on list files must be a list of one model name. Example: ['gpt-4o']", - "type": "None", - "param": "None", + "type": "invalid_request_error", + "param": None, "code": "400", } } @@ -4666,3 +4666,156 @@ def test_create_file_path_traversal_filename_rejected_before_forwarding(monkeypa assert error["param"] == "file" assert "traversal" in error["message"].lower() assert forwarded_calls == [] + + +def _setup_managed_file_route_answering_404( + mocker: MockerFixture, monkeypatch: pytest.MonkeyPatch, llm_router: Router +) -> None: + """Wire the single-file routes to a managed file store that knows no file, the way the + managed files hook answers once a file has been deleted or was never the caller's.""" + import litellm.proxy.proxy_server as ps + from fastapi import HTTPException + from litellm.llms.base_llm.files.transformation import BaseFileEndpoints + from litellm.proxy._types import LitellmUserRoles + + async def _file_not_found(file_id: str, **kwargs: object) -> None: + raise HTTPException(status_code=404, detail=f"File not found: {file_id}") + + proxy_logging_obj = setup_proxy_logging_object(monkeypatch, llm_router) + managed_files = mocker.MagicMock(spec=BaseFileEndpoints) + managed_files.afile_retrieve = mocker.AsyncMock(side_effect=_file_not_found) + managed_files.afile_delete = mocker.AsyncMock(side_effect=_file_not_found) + managed_files.afile_content = mocker.AsyncMock(side_effect=_file_not_found) + proxy_logging_obj.proxy_hook_mapping["managed_files"] = managed_files + monkeypatch.setattr("litellm.proxy.proxy_server.llm_router", llm_router) + + app.dependency_overrides[ps.user_api_key_auth] = lambda: UserAPIKeyAuth( + api_key="test-key", + user_role=LitellmUserRoles.INTERNAL_USER, + user_id="test-user", + ) + + +def _call_managed_file_route(method: str, path: str) -> httpx.Response: + try: + return client.request(method, path, headers={"Authorization": "Bearer test-key"}) + finally: + import litellm.proxy.proxy_server as ps + + app.dependency_overrides.pop(ps.user_api_key_auth, None) + + +def _missing_managed_file_error(file_id: str) -> dict[str, dict[str, str | None]]: + return { + "error": { + "message": f"File not found: {file_id}", + "type": "invalid_request_error", + "param": None, + "code": "404", + } + } + + +def test_create_file_reports_a_half_specified_expires_after_as_a_400( + monkeypatch: pytest.MonkeyPatch, llm_router: Router +): + """A 400 raised inside the route answers with the type a 400 stands for and a JSON null + param, not the literal string "None" in both fields, so a client can classify it.""" + setup_proxy_logging_object(monkeypatch, llm_router) + monkeypatch.setattr("litellm.proxy.proxy_server.llm_router", llm_router) + + response = client.post( + "/v1/files", + files={"file": ("mydata.jsonl", VALID_BATCH_LINE, "application/jsonl")}, + data={"purpose": "batch", "target_model_names": "gpt-3.5-turbo", "expires_after[anchor]": "created_at"}, + headers={"Authorization": "Bearer test-key"}, + ) + + assert response.status_code == 400, response.text + error = response.json()["error"] + assert "expires_after[seconds]" in error["message"] + assert error["type"] == "invalid_request_error" + assert error["param"] is None + assert error["code"] == "400" + + +def test_get_file_reports_a_missing_managed_file_as_a_404( + mocker: MockerFixture, monkeypatch: pytest.MonkeyPatch, llm_router: Router +): + _setup_managed_file_route_answering_404(mocker, monkeypatch, llm_router) + file_id = _unified_managed_file_id() + + response = _call_managed_file_route("GET", f"/v1/files/{file_id}") + + assert response.status_code == 404, response.text + assert response.json() == _missing_managed_file_error(file_id) + + +def test_delete_file_reports_a_missing_managed_file_as_a_404( + mocker: MockerFixture, monkeypatch: pytest.MonkeyPatch, llm_router: Router +): + _setup_managed_file_route_answering_404(mocker, monkeypatch, llm_router) + file_id = _unified_managed_file_id() + + response = _call_managed_file_route("DELETE", f"/v1/files/{file_id}") + + assert response.status_code == 404, response.text + assert response.json() == _missing_managed_file_error(file_id) + + +def test_get_file_content_reports_a_missing_managed_file_as_a_404( + mocker: MockerFixture, monkeypatch: pytest.MonkeyPatch, llm_router: Router +): + _setup_managed_file_route_answering_404(mocker, monkeypatch, llm_router) + file_id = _unified_managed_file_id() + + response = _call_managed_file_route("GET", f"/v1/files/{file_id}/content") + + assert response.status_code == 404, response.text + assert response.json() == _missing_managed_file_error(file_id) + + +def _setup_managed_file_stored_in_an_unknown_storage_backend( + mocker: MockerFixture, monkeypatch: pytest.MonkeyPatch, llm_router: Router +) -> None: + """Wire the content route to a managed file whose row names a storage backend the + factory does not know, which is the one in-route ProxyException on these routes.""" + from types import SimpleNamespace + + import litellm.proxy.proxy_server as ps + from litellm.llms.base_llm.files.transformation import BaseFileEndpoints + from litellm.proxy._types import LitellmUserRoles + + proxy_logging_obj = setup_proxy_logging_object(monkeypatch, llm_router) + managed_files = mocker.MagicMock(spec=BaseFileEndpoints) + managed_files.prisma_client = mocker.MagicMock() + proxy_logging_obj.proxy_hook_mapping["managed_files"] = managed_files + repository = mocker.MagicMock() + repository.table.find_first = mocker.AsyncMock( + return_value=SimpleNamespace(storage_backend="ftp", storage_url="ftp://bucket/file") + ) + monkeypatch.setattr( + "litellm.proxy.openai_files_endpoints.files_endpoints.ManagedFileRepository", lambda _prisma: repository + ) + monkeypatch.setattr("litellm.proxy.proxy_server.llm_router", llm_router) + + app.dependency_overrides[ps.user_api_key_auth] = lambda: UserAPIKeyAuth( + api_key="test-key", + user_role=LitellmUserRoles.INTERNAL_USER, + user_id="test-user", + ) + + +def test_get_file_content_keeps_the_status_of_a_rejection_raised_inside_the_route( + mocker: MockerFixture, monkeypatch: pytest.MonkeyPatch, llm_router: Router +): + """A ProxyException raised inside the route carries its status as the string ``code``, + and the tail used to rebuild it as a 500 because it only read ``status_code``.""" + _setup_managed_file_stored_in_an_unknown_storage_backend(mocker, monkeypatch, llm_router) + + response = _call_managed_file_route("GET", f"/v1/files/{_unified_managed_file_id()}/content") + + assert response.status_code == 400, response.text + error = response.json()["error"] + assert error["message"].startswith("Storage backend error") + assert (error["type"], error["param"], error["code"]) == ("invalid_request_error", "file_id", "400") diff --git a/tests/test_litellm/proxy/pass_through_endpoints/test_pass_through_endpoints.py b/tests/test_litellm/proxy/pass_through_endpoints/test_pass_through_endpoints.py index fb4ed3db4d2..d57bed430c1 100644 --- a/tests/test_litellm/proxy/pass_through_endpoints/test_pass_through_endpoints.py +++ b/tests/test_litellm/proxy/pass_through_endpoints/test_pass_through_endpoints.py @@ -11,7 +11,7 @@ from unittest.mock import AsyncMock, MagicMock, patch import httpx import pytest -from fastapi import Request, UploadFile +from fastapi import Request, Response, UploadFile from starlette.datastructures import FormData, Headers, QueryParams from starlette.datastructures import UploadFile as StarletteUploadFile @@ -22,6 +22,7 @@ from litellm.proxy.pass_through_endpoints.pass_through_endpoints import ( InitPassThroughEndpointHelpers, LITELLM_PASS_THROUGH_CUSTOM_BODY_STATE_KEY, _registered_pass_through_routes, + chat_completion_pass_through_endpoint, create_pass_through_route, initialize_pass_through_endpoints, pass_through_request, @@ -5837,3 +5838,38 @@ def test_passthrough_client_cannot_forge_session_id_omission(client_metadata_key ) == "per-call-random-trace-id" ) + + +@pytest.mark.asyncio +async def test_chat_completion_pass_through_endpoint_answers_an_openai_typed_error_for_an_unknown_model( + monkeypatch: pytest.MonkeyPatch, +): + """A bare HTTPException carries no type or param, so the tail used to ship the + literal string "None" in both fields.""" + proxy_logging = MagicMock() + proxy_logging.pre_call_hook = AsyncMock(side_effect=lambda **kwargs: kwargs["data"]) + proxy_logging.post_call_failure_hook = AsyncMock() + + async def fake_add_litellm_data_to_request(**kwargs: object) -> object: + return kwargs["data"] + + monkeypatch.setattr("litellm.proxy.proxy_server.proxy_logging_obj", proxy_logging) + monkeypatch.setattr("litellm.proxy.proxy_server.add_litellm_data_to_request", fake_add_litellm_data_to_request) + monkeypatch.setattr("litellm.proxy.proxy_server.llm_router", None) + monkeypatch.setattr("litellm.proxy.proxy_server.user_model", None) + monkeypatch.setattr("litellm.proxy.proxy_server.general_settings", {}) + + request = MagicMock(spec=Request) + request.body = AsyncMock( + return_value=json.dumps({"model": "unknown-model", "messages": [{"role": "user", "content": "hi"}]}).encode() + ) + + with pytest.raises(ProxyException) as raised: + await chat_completion_pass_through_endpoint( + fastapi_response=Response(), + request=request, + adapter_id="anthropic", + user_api_key_dict=UserAPIKeyAuth(api_key="sk-test"), + ) + + assert (raised.value.type, raised.value.param, raised.value.code) == ("invalid_request_error", None, "400") diff --git a/tests/test_litellm/proxy/proxy_server/test_routes_model_cost_map.py b/tests/test_litellm/proxy/proxy_server/test_routes_model_cost_map.py index b75ee1caccf..40bd66ea91c 100644 --- a/tests/test_litellm/proxy/proxy_server/test_routes_model_cost_map.py +++ b/tests/test_litellm/proxy/proxy_server/test_routes_model_cost_map.py @@ -11,15 +11,21 @@ Routes covered: from __future__ import annotations import json +from pathlib import Path from unittest.mock import AsyncMock, MagicMock +from litellm.litellm_core_utils.get_model_cost_map import get_model_cost_map_provenance + from .conftest import VOLATILE_KEYS, normalize # Some response bodies include a "timestamp" — extend the volatile set so # dict-equality assertions remain stable. _VOLATILE = VOLATILE_KEYS | frozenset({"timestamp"}) +_SERVED_ETAG = 'W/"cost-map-etag"' +_ROOT_COST_MAP = Path(__file__).resolve().parents[4] / "model_prices_and_context_window.json" + # --------------------------------------------------------------------------- # Helpers @@ -83,6 +89,7 @@ def test_reload_model_cost_map_happy(client, auth_as, monkeypatch, mock_prisma): "status": "success", "models_count": 2, "timestamp": "", + **get_model_cost_map_provenance(), } assert table.upsert.await_count == 1 update_payload = table.upsert.await_args.kwargs["data"]["update"] @@ -90,6 +97,54 @@ def test_reload_model_cost_map_happy(client, auth_as, monkeypatch, mock_prisma): assert update_payload["reload_revision"] == {"increment": 1} +def test_reload_model_cost_map_surfaces_the_blob_id_of_the_bytes_served_on_every_status_surface( + client, auth_as, monkeypatch, mock_prisma +): + import httpx + + import litellm + from litellm.litellm_core_utils.get_model_cost_map import git_blob_id + from litellm.proxy import proxy_server as ps + from litellm.proxy._types import LitellmUserRoles + + _attach_litellm_config(mock_prisma) + monkeypatch.setattr(ps, "prisma_client", mock_prisma) + monkeypatch.delenv("LITELLM_LOCAL_MODEL_COST_MAP", raising=False) + body = _ROOT_COST_MAP.read_bytes() + expected = {"source_revision": git_blob_id(body), "etag": _SERVED_ETAG} + served = httpx.Response(200, headers={"ETag": _SERVED_ETAG}, content=body) + monkeypatch.setattr( + "litellm.litellm_core_utils.get_model_cost_map._default_reload_client", + lambda: httpx.AsyncClient(transport=httpx.MockTransport(lambda request: served)), + ) + monkeypatch.setattr("litellm.add_known_models", lambda model_cost_map=None: None) + monkeypatch.setattr("litellm.model_cost", {}, raising=False) + + async def _fake_invalidate(name): + return None + + monkeypatch.setattr(ps, "invalidate_config_param", _fake_invalidate) + + with auth_as(LitellmUserRoles.PROXY_ADMIN): + reload_response = client.post("/reload/model_cost_map") + source_response = client.get("/model/cost_map/source") + status_response = client.get("/schedule/model_cost_map_reload/status") + public_response = client.get("/public/litellm_model_cost_map") + + assert reload_response.status_code == 200 + reload_body = reload_response.json() + assert {key: reload_body[key] for key in expected} == expected + assert source_response.status_code == 200 + source_body = source_response.json() + assert {key: source_body[key] for key in expected} == expected + assert source_body["source"] == "remote" + assert status_response.status_code == 200 + assert {key: status_response.json()[key] for key in expected} == expected + assert public_response.status_code == 200 + assert "gpt-4o" in public_response.json() + assert reload_body["models_count"] == len(litellm.model_cost) + + def test_reload_model_cost_map_fetch_failure_502_keeps_map( client, auth_as, monkeypatch, mock_prisma ): @@ -270,7 +325,7 @@ def test_cancel_model_cost_map_reload_no_db_500(client, auth_as, monkeypatch): def test_get_model_cost_map_reload_status_no_db_not_scheduled( client, auth_as, monkeypatch ): - """No prisma client → returns the not-scheduled shape (4 keys, all-null).""" + """No prisma client → returns the not-scheduled shape (all-null) plus the cost map provenance.""" from litellm.proxy import proxy_server as ps from litellm.proxy._types import LitellmUserRoles @@ -283,6 +338,7 @@ def test_get_model_cost_map_reload_status_no_db_not_scheduled( "interval_hours": None, "last_run": None, "next_run": None, + **get_model_cost_map_provenance(), } @@ -309,6 +365,7 @@ def test_get_model_cost_map_reload_status_scheduled( "interval_hours": 12, "last_run": None, "next_run": None, + **get_model_cost_map_provenance(), } @@ -337,6 +394,7 @@ def test_get_model_cost_map_reload_status_reports_persisted_last_run( "interval_hours": 6, "last_run": "2024-01-01T06:00:00+00:00", "next_run": "2024-01-01T12:00:00+00:00", + **get_model_cost_map_provenance(), } @@ -365,6 +423,7 @@ def test_get_model_cost_map_reload_status_no_config_not_scheduled( "interval_hours": None, "last_run": None, "next_run": None, + **get_model_cost_map_provenance(), } @@ -391,6 +450,8 @@ def test_get_model_cost_map_source_happy(client, auth_as, monkeypatch): "url": "https://example.invalid/cost_map.json", "is_env_forced": False, "fallback_reason": None, + "loaded_at": "2026-09-07T01:02:03+00:00", + **get_model_cost_map_provenance(), } monkeypatch.setattr( "litellm.litellm_core_utils.get_model_cost_map.get_model_cost_map_source_info", @@ -406,6 +467,8 @@ def test_get_model_cost_map_source_happy(client, auth_as, monkeypatch): "url": "https://example.invalid/cost_map.json", "is_env_forced": False, "fallback_reason": None, + "loaded_at": "2026-09-07T01:02:03+00:00", + **get_model_cost_map_provenance(), "model_count": 3, } diff --git a/tests/test_litellm/proxy/proxy_server/test_spend_counters.py b/tests/test_litellm/proxy/proxy_server/test_spend_counters.py index 86e97a334df..c343652efd9 100644 --- a/tests/test_litellm/proxy/proxy_server/test_spend_counters.py +++ b/tests/test_litellm/proxy/proxy_server/test_spend_counters.py @@ -4,11 +4,12 @@ Pins covered: - ``get_current_spend`` - ``increment_spend_counters`` - ``_reconcile_budget_reservation_for_counter_update`` -- ``_increment_end_user_and_tag_spend_counters`` -- ``_increment_org_spend_counter`` -- ``_init_and_increment_unreserved_spend_counter`` -- ``_init_and_increment_spend_counter`` -- ``_init_and_increment_window_spend_counter`` +- ``_prepare_end_user_and_tag_spend_increments`` +- ``_prepare_org_spend_increment`` +- ``_prepare_unreserved_spend_counter_increment`` +- ``_prepare_spend_counter_increment`` +- ``_prepare_window_spend_counter_increment`` +- ``_apply_spend_counter_increments`` - ``_ensure_spend_counter_initialized`` - ``_get_source_cache_base_spend`` - ``_ensure_window_spend_counter_initialized`` @@ -48,9 +49,7 @@ def _make_spend_counter_cache( cache.in_memory_cache.delete_cache = MagicMock() if with_redis: cache.redis_cache = MagicMock() - cache.redis_cache.async_get_cache = AsyncMock( - return_value=redis_get_value, side_effect=redis_get_side_effect - ) + cache.redis_cache.async_get_cache = AsyncMock(return_value=redis_get_value, side_effect=redis_get_side_effect) cache.redis_cache.async_increment = AsyncMock( return_value=redis_increment_value, side_effect=redis_increment_side_effect, @@ -58,6 +57,8 @@ def _make_spend_counter_cache( cache.redis_cache.async_delete_cache = AsyncMock() cache.redis_cache.async_set_cache = AsyncMock() cache.redis_cache.async_set_max = AsyncMock() + cache.redis_cache.async_increment_pipeline = AsyncMock(return_value=None) + cache.redis_cache.get_ttl = MagicMock(return_value=None) else: cache.redis_cache = None cache.async_increment_cache = AsyncMock(return_value=redis_increment_value) @@ -70,9 +71,7 @@ def _make_spend_counter_cache( def _make_user_api_key_cache(get_value=None, get_side_effect=None): cache = MagicMock() - cache.async_get_cache = AsyncMock( - return_value=get_value, side_effect=get_side_effect - ) + cache.async_get_cache = AsyncMock(return_value=get_value, side_effect=get_side_effect) cache.async_set_cache_pipeline = AsyncMock() return cache @@ -109,9 +108,7 @@ async def test_get_current_spend_redis_error_falls_back_to_in_memory(monkeypatch ) monkeypatch.setattr(ps, "spend_counter_cache", fake_cache) - result = await ps.get_current_spend( - counter_key="spend:key:abc", fallback_spend=99.0 - ) + result = await ps.get_current_spend(counter_key="spend:key:abc", fallback_spend=99.0) assert result == 17.0 @@ -136,9 +133,7 @@ async def test_get_current_spend_floors_stale_low_counter_against_db(monkeypatch # the stale counter is repaired up to the authoritative DB value via a # monotonic set-max so other workers read the corrected total, and a # concurrent increment cannot be clobbered - fake_cache.redis_cache.async_set_max.assert_awaited_once_with( - key="spend:key:abc", value=12.0 - ) + fake_cache.redis_cache.async_set_max.assert_awaited_once_with(key="spend:key:abc", value=12.0) @pytest.mark.asyncio @@ -169,9 +164,7 @@ async def test_get_current_spend_no_floor_without_max_budget(monkeypatch): from_db = AsyncMock(return_value=12.0) monkeypatch.setattr(ps.SpendCounterReseed, "from_db", from_db) - result = await ps.get_current_spend( - counter_key="spend:key:abc", fallback_spend=12.0 - ) + result = await ps.get_current_spend(counter_key="spend:key:abc", fallback_spend=12.0) assert result == 2.0 assert from_db.await_count == 0 @@ -210,12 +203,8 @@ async def test_get_current_spend_floor_caches_db_read(monkeypatch): from_db = AsyncMock(return_value=12.0) monkeypatch.setattr(ps.SpendCounterReseed, "from_db", from_db) - first = await ps.get_current_spend( - counter_key="spend:key:abc", fallback_spend=12.0, max_budget=10.0 - ) - second = await ps.get_current_spend( - counter_key="spend:key:abc", fallback_spend=12.0, max_budget=10.0 - ) + first = await ps.get_current_spend(counter_key="spend:key:abc", fallback_spend=12.0, max_budget=10.0) + second = await ps.get_current_spend(counter_key="spend:key:abc", fallback_spend=12.0, max_budget=10.0) assert first == 12.0 assert second == 12.0 @@ -336,9 +325,7 @@ async def test_get_current_spend_floors_window_against_spend_logs(monkeypatch): assert result == 15.0 assert wfsl.await_count == 1 - fake_cache.redis_cache.async_set_max.assert_awaited_once_with( - key=counter_key, value=15.0 - ) + fake_cache.redis_cache.async_set_max.assert_awaited_once_with(key=counter_key, value=15.0) def _make_window_spend_prisma(row=None, spend_logs_total=0.0): @@ -379,9 +366,7 @@ async def test_get_current_spend_floors_window_against_maintained_row(monkeypatc assert result == 15.0 fake_prisma.db.litellm_spendlogs.group_by.assert_not_awaited() - fake_cache.redis_cache.async_set_max.assert_awaited_once_with( - key=counter_key, value=15.0 - ) + fake_cache.redis_cache.async_set_max.assert_awaited_once_with(key=counter_key, value=15.0) @pytest.mark.asyncio @@ -393,9 +378,7 @@ async def test_get_current_spend_floors_window_against_logs_when_row_stale(monke window_start = datetime(2026, 1, 8, tzinfo=timezone.utc) fake_prisma = _make_window_spend_prisma( - row=SimpleNamespace( - window_start=window_start - timedelta(days=7), spend=999.0 - ), + row=SimpleNamespace(window_start=window_start - timedelta(days=7), spend=999.0), spend_logs_total=15.0, ) fake_cache = _make_spend_counter_cache(redis_get_value=2.0) @@ -423,21 +406,13 @@ async def test_get_current_spend_fail_closed_rejects_when_unverifiable(monkeypat rather than admitted on an unverifiable budget.""" from fastapi import HTTPException - fake_cache = _make_spend_counter_cache( - redis_get_side_effect=RuntimeError("redis down") - ) + fake_cache = _make_spend_counter_cache(redis_get_side_effect=RuntimeError("redis down")) monkeypatch.setattr(ps, "spend_counter_cache", fake_cache) - monkeypatch.setattr( - ps, "general_settings", {"fail_closed_budget_enforcement": True} - ) - monkeypatch.setattr( - ps.SpendCounterReseed, "coalesced", AsyncMock(return_value=None) - ) + monkeypatch.setattr(ps, "general_settings", {"fail_closed_budget_enforcement": True}) + monkeypatch.setattr(ps.SpendCounterReseed, "coalesced", AsyncMock(return_value=None)) with pytest.raises(HTTPException) as exc: - await ps.get_current_spend( - counter_key="spend:key:abc", fallback_spend=1.0, max_budget=10.0 - ) + await ps.get_current_spend(counter_key="spend:key:abc", fallback_spend=1.0, max_budget=10.0) assert exc.value.status_code == 503 @@ -445,18 +420,12 @@ async def test_get_current_spend_fail_closed_rejects_when_unverifiable(monkeypat async def test_get_current_spend_fail_closed_off_admits_when_unverifiable(monkeypatch): """Default (flag off): an unverifiable read keeps the existing behavior and admits using the cached fallback — no new rejection.""" - fake_cache = _make_spend_counter_cache( - redis_get_side_effect=RuntimeError("redis down") - ) + fake_cache = _make_spend_counter_cache(redis_get_side_effect=RuntimeError("redis down")) monkeypatch.setattr(ps, "spend_counter_cache", fake_cache) monkeypatch.setattr(ps, "general_settings", {}) - monkeypatch.setattr( - ps.SpendCounterReseed, "coalesced", AsyncMock(return_value=None) - ) + monkeypatch.setattr(ps.SpendCounterReseed, "coalesced", AsyncMock(return_value=None)) - result = await ps.get_current_spend( - counter_key="spend:key:abc", fallback_spend=1.0, max_budget=10.0 - ) + result = await ps.get_current_spend(counter_key="spend:key:abc", fallback_spend=1.0, max_budget=10.0) assert result == 1.0 @@ -466,13 +435,9 @@ async def test_get_current_spend_fail_closed_admits_when_redis_verified(monkeypa authoritative, so an under-budget request is admitted normally.""" fake_cache = _make_spend_counter_cache(redis_get_value=1.0) monkeypatch.setattr(ps, "spend_counter_cache", fake_cache) - monkeypatch.setattr( - ps, "general_settings", {"fail_closed_budget_enforcement": True} - ) + monkeypatch.setattr(ps, "general_settings", {"fail_closed_budget_enforcement": True}) - result = await ps.get_current_spend( - counter_key="spend:key:abc", fallback_spend=1.0, max_budget=10.0 - ) + result = await ps.get_current_spend(counter_key="spend:key:abc", fallback_spend=1.0, max_budget=10.0) assert result == 1.0 @@ -481,16 +446,10 @@ async def test_get_current_spend_fail_closed_allows_authoritative_fallback(monke """End-user/tag callers pass fallback_authoritative=True (their spend is loaded fresh from the DB in auth), so fail-closed does not reject them even when the counter path is unreadable.""" - fake_cache = _make_spend_counter_cache( - redis_get_side_effect=RuntimeError("redis down") - ) + fake_cache = _make_spend_counter_cache(redis_get_side_effect=RuntimeError("redis down")) monkeypatch.setattr(ps, "spend_counter_cache", fake_cache) - monkeypatch.setattr( - ps, "general_settings", {"fail_closed_budget_enforcement": True} - ) - monkeypatch.setattr( - ps.SpendCounterReseed, "coalesced", AsyncMock(return_value=None) - ) + monkeypatch.setattr(ps, "general_settings", {"fail_closed_budget_enforcement": True}) + monkeypatch.setattr(ps.SpendCounterReseed, "coalesced", AsyncMock(return_value=None)) result = await ps.get_current_spend( counter_key="spend:end_user:e1", @@ -508,9 +467,7 @@ async def test_get_current_spend_strict_floors_when_fallback_also_stale(monkeypa re-checks the authoritative DB and enforces against it.""" fake_cache = _make_spend_counter_cache(redis_get_value=0.00001) monkeypatch.setattr(ps, "spend_counter_cache", fake_cache) - monkeypatch.setattr( - ps, "general_settings", {"fail_closed_budget_enforcement": True} - ) + monkeypatch.setattr(ps, "general_settings", {"fail_closed_budget_enforcement": True}) from_db = AsyncMock(return_value=0.5) monkeypatch.setattr(ps.SpendCounterReseed, "from_db", from_db) @@ -532,9 +489,7 @@ async def test_get_current_spend_strict_floors_when_fallback_also_stale(monkeypa @pytest.mark.asyncio async def test_increment_spend_counters_increments_all_buckets(monkeypatch): - fake_cache = _make_spend_counter_cache( - redis_get_value=None, redis_increment_value=5.0 - ) + fake_cache = _make_spend_counter_cache(redis_get_value=None, redis_increment_value=5.0) fake_user_cache = _make_user_api_key_cache(get_value=None) monkeypatch.setattr(ps, "spend_counter_cache", fake_cache) monkeypatch.setattr(ps, "user_api_key_cache", fake_user_cache) @@ -543,9 +498,7 @@ async def test_increment_spend_counters_increments_all_buckets(monkeypatch): async def _fake_coalesced(**kwargs): return None - monkeypatch.setattr( - ps.SpendCounterReseed, "coalesced", AsyncMock(side_effect=_fake_coalesced) - ) + monkeypatch.setattr(ps.SpendCounterReseed, "coalesced", AsyncMock(side_effect=_fake_coalesced)) await ps.increment_spend_counters( token="hashed-tok", @@ -554,25 +507,36 @@ async def test_increment_spend_counters_increments_all_buckets(monkeypatch): response_cost=5.0, ) + pipeline = fake_cache.redis_cache.async_increment_pipeline + pipeline.assert_awaited_once() + increment_list = pipeline.await_args.kwargs["increment_list"] + assert {op["key"] for op in increment_list} == { + "spend:key:hashed-tok", + "spend:team:t1", + "spend:team_member:u1:t1", + "spend:user:u1", + } + assert all(op["increment_value"] == 5.0 for op in increment_list) observed = { "redis_increment_called": fake_cache.redis_cache.async_increment.called, - "increment_calls": fake_cache.redis_cache.async_increment.call_count, + "pipeline_calls": pipeline.await_count, "user_cache_used": fake_user_cache.async_get_cache.called, } assert normalize(observed) == { - "redis_increment_called": True, - "increment_calls": 4, + "redis_increment_called": False, + "pipeline_calls": 1, "user_cache_used": True, } class _ConcurrencyProbe: - """Stand-in for redis_cache.async_increment that pins concurrency. + """Stand-in for redis_cache.async_get_cache that pins concurrency. - Each call registers itself as in-flight and blocks on ``release`` until the - test lets it proceed. ``all_arrived`` fires once ``expected`` distinct scope - increments are simultaneously suspended here, which can only happen if the - per-scope increments are gathered rather than awaited one after another. + Each warm-check read registers itself as in-flight and blocks on ``release`` + until the test lets it proceed. ``all_arrived`` fires once ``expected`` + distinct scope warm-checks are simultaneously suspended here, which can only + happen if the per-scope prepares are gathered rather than awaited one after + another. """ def __init__(self, expected_concurrency: int): @@ -581,36 +545,45 @@ class _ConcurrencyProbe: self.max_in_flight = 0 self.all_arrived = asyncio.Event() self.release = asyncio.Event() - self.values: dict[str, float] = {} + self.keys: list[str] = [] - async def async_increment(self, *, key, value, refresh_ttl=True): + async def async_get_cache(self, *, key, **kwargs): self.in_flight += 1 self.max_in_flight = max(self.max_in_flight, self.in_flight) + self.keys.append(key) if self.in_flight >= self.expected: self.all_arrived.set() if not self.release.is_set(): await self.release.wait() self.in_flight -= 1 - self.values[key] = self.values.get(key, 0.0) + value - return self.values[key] + return 1.0 @pytest.mark.asyncio async def test_increment_spend_counters_runs_scopes_concurrently(monkeypatch): """The six independent scopes (key, team, team_member, user, end_user+tags, - org) must be incremented concurrently. The probe only fires once all six are - suspended in async_increment at the same time, which is impossible if the + org) must prepare their increments concurrently. The probe only fires once + all eight warm-check reads (one per counter: 6 scopes + 2 tags) are + suspended in async_get_cache at the same time, which is impossible if the awaits are chained sequentially.""" - probe = _ConcurrencyProbe(expected_concurrency=6) - fake_cache = _make_spend_counter_cache(redis_get_value=None) - fake_cache.redis_cache.async_increment = probe.async_increment + probe = _ConcurrencyProbe(expected_concurrency=8) + fake_cache = _make_spend_counter_cache() + fake_cache.redis_cache.async_get_cache = probe.async_get_cache + recorded: dict[str, float] = {} + + async def _record_pipeline(increment_list, **_): + results = [] + for op in increment_list: + recorded[op["key"]] = recorded.get(op["key"], 0.0) + op["increment_value"] + results.append(recorded[op["key"]]) + return results + + fake_cache.redis_cache.async_increment_pipeline = AsyncMock(side_effect=_record_pipeline) fake_user_cache = _make_user_api_key_cache(get_value=None) monkeypatch.setattr(ps, "spend_counter_cache", fake_cache) monkeypatch.setattr(ps, "user_api_key_cache", fake_user_cache) monkeypatch.setattr(ps, "prisma_client", None) - monkeypatch.setattr( - ps.SpendCounterReseed, "coalesced", AsyncMock(return_value=None) - ) + monkeypatch.setattr(ps.SpendCounterReseed, "coalesced", AsyncMock(return_value=None)) task = asyncio.create_task( ps.increment_spend_counters( @@ -630,16 +603,16 @@ async def test_increment_spend_counters_runs_scopes_concurrently(monkeypatch): probe.release.set() await task pytest.fail( - "scope increments did not run concurrently; sequential awaits " - f"detected (peak in-flight was {probe.max_in_flight}, expected 6)" + "scope prepares did not run concurrently; sequential awaits " + f"detected (peak in-flight was {probe.max_in_flight}, expected 8)" ) - assert probe.in_flight == 6 - assert probe.max_in_flight == 6 + assert probe.in_flight == 8 + assert probe.max_in_flight == 8 probe.release.set() await task - assert probe.values == { + assert recorded == { "spend:key:hashed-tok": 5.0, "spend:team:t1": 5.0, "spend:team_member:u1:t1": 5.0, @@ -659,26 +632,25 @@ async def test_increment_spend_counters_skips_reserved_counter_keys(monkeypatch) import litellm.proxy.spend_tracking.budget_reservation as br reserved = {"spend:key:hashed-tok", "spend:org:org1"} - monkeypatch.setattr( - br, "get_reserved_counter_keys", MagicMock(return_value=set(reserved)) - ) + monkeypatch.setattr(br, "get_reserved_counter_keys", MagicMock(return_value=set(reserved))) monkeypatch.setattr(br, "reconcile_budget_reservation", AsyncMock()) recorded: dict[str, float] = {} - async def _record_increment(*, key, value, refresh_ttl=True): - recorded[key] = recorded.get(key, 0.0) + value - return recorded[key] + async def _record_pipeline(increment_list, **_): + results = [] + for op in increment_list: + recorded[op["key"]] = recorded.get(op["key"], 0.0) + op["increment_value"] + results.append(recorded[op["key"]]) + return results fake_cache = _make_spend_counter_cache(redis_get_value=None) - fake_cache.redis_cache.async_increment = _record_increment + fake_cache.redis_cache.async_increment_pipeline = AsyncMock(side_effect=_record_pipeline) fake_user_cache = _make_user_api_key_cache(get_value=None) monkeypatch.setattr(ps, "spend_counter_cache", fake_cache) monkeypatch.setattr(ps, "user_api_key_cache", fake_user_cache) monkeypatch.setattr(ps, "prisma_client", None) - monkeypatch.setattr( - ps.SpendCounterReseed, "coalesced", AsyncMock(return_value=None) - ) + monkeypatch.setattr(ps.SpendCounterReseed, "coalesced", AsyncMock(return_value=None)) reservation = {"finalized": False} await ps.increment_spend_counters( @@ -708,27 +680,46 @@ async def test_increment_spend_counters_failing_scope_propagates_after_siblings_ ): """A failure in one scope must propagate to the caller (so it can invalidate reserved counters) while every other scope still settles rather than being - left as an orphaned background task, and the reservation is not finalized.""" - recorded: dict[str, float] = {} + left as an orphaned background task, and the reservation is not finalized. + The surviving scopes' increments are still applied in the single pipeline: + dropping them would under-count spend, the unsafe direction for budget + enforcement.""" + warmed_keys: list[str] = [] - async def _increment(*, key, value, refresh_ttl=True): + async def _warm_check(*, key, **kwargs): + warmed_keys.append(key) if key == "spend:team:t1": - raise RuntimeError("redis increment failed") - recorded[key] = recorded.get(key, 0.0) + value - return recorded[key] + raise RuntimeError("redis get failed") + return 1.0 - fake_cache = _make_spend_counter_cache(redis_get_value=None) - fake_cache.redis_cache.async_increment = _increment + async def _reseed_fails(*, counter_key, **kwargs): + if counter_key == "spend:team:t1": + raise RuntimeError("reseed failed") + + applied: dict[str, float] = {} + + async def _record_pipeline(increment_list, **_): + results = [] + for op in increment_list: + applied[op["key"]] = op["increment_value"] + results.append(op["increment_value"]) + return results + + fake_cache = _make_spend_counter_cache() + fake_cache.redis_cache.async_get_cache = AsyncMock(side_effect=_warm_check) + fake_cache.redis_cache.async_increment_pipeline = AsyncMock(side_effect=_record_pipeline) fake_user_cache = _make_user_api_key_cache(get_value=None) monkeypatch.setattr(ps, "spend_counter_cache", fake_cache) monkeypatch.setattr(ps, "user_api_key_cache", fake_user_cache) monkeypatch.setattr(ps, "prisma_client", None) monkeypatch.setattr( - ps.SpendCounterReseed, "coalesced", AsyncMock(return_value=None) + ps.SpendCounterReseed, + "coalesced", + AsyncMock(side_effect=_reseed_fails), ) reservation = {"finalized": False} - with pytest.raises(RuntimeError, match="redis increment failed"): + with pytest.raises(RuntimeError, match="reseed failed"): await ps.increment_spend_counters( token="hashed-tok", team_id="t1", @@ -741,7 +732,19 @@ async def test_increment_spend_counters_failing_scope_propagates_after_siblings_ ) assert reservation["finalized"] is False - assert recorded == { + # every sibling scope settled (its warm-check ran) before the error propagated + assert set(warmed_keys) == { + "spend:key:hashed-tok", + "spend:team:t1", + "spend:team_member:u1:t1", + "spend:user:u1", + "spend:end_user:eu1", + "spend:tag:a", + "spend:org:org1", + } + # the surviving scopes' increments were still applied, in one pipeline call + fake_cache.redis_cache.async_increment_pipeline.assert_awaited_once() + assert applied == { "spend:key:hashed-tok": 5.0, "spend:team_member:u1:t1": 5.0, "spend:user:u1": 5.0, @@ -749,6 +752,7 @@ async def test_increment_spend_counters_failing_scope_propagates_after_siblings_ "spend:tag:a": 5.0, "spend:org:org1": 5.0, } + fake_cache.redis_cache.async_increment.assert_not_awaited() @pytest.mark.asyncio @@ -772,6 +776,108 @@ async def test_increment_spend_counters_zero_cost_is_noop_finalizes_reservation( assert reservation == {"finalized": True} assert fake_cache.redis_cache.async_increment.called is False + fake_cache.redis_cache.async_increment_pipeline.assert_not_awaited() + + +@pytest.mark.asyncio +async def test_increment_spend_counters_pipelines_all_scopes_in_one_redis_call( + monkeypatch, +): + """Every scope's increment must go out in a single async_increment_pipeline + call, not one INCRBYFLOAT round-trip per scope.""" + counter_cache = ps.DualCache() + fake_redis = AsyncMock() + fake_redis.async_get_cache = AsyncMock(return_value=1.0) # counters warm + + async def _pipeline(increment_list, **_): + return [1.5] * len(increment_list) + + fake_redis.async_increment_pipeline = AsyncMock(side_effect=_pipeline) + fake_redis.async_increment = AsyncMock() + fake_redis.get_ttl = MagicMock(return_value=None) + counter_cache.redis_cache = fake_redis + monkeypatch.setattr(ps, "spend_counter_cache", counter_cache) + monkeypatch.setattr(ps, "user_api_key_cache", ps.DualCache()) + monkeypatch.setattr(ps, "prisma_client", None) + + await ps.increment_spend_counters( + token="hashed", + team_id="team-1", + user_id="user-1", + response_cost=0.5, + org_id="org-1", + end_user_id="eu-1", + tags=["tag-a", "tag-b"], + ) + + fake_redis.async_increment_pipeline.assert_awaited_once() + assert fake_redis.async_increment.await_count == 0 + increment_list = fake_redis.async_increment_pipeline.await_args.kwargs["increment_list"] + expected_keys = { + "spend:key:hashed", + "spend:team:team-1", + "spend:team_member:user-1:team-1", + "spend:user:user-1", + "spend:end_user:eu-1", + "spend:tag:tag-a", + "spend:tag:tag-b", + "spend:org:org-1", + } + assert {op["key"] for op in increment_list} == expected_keys + assert all(op["increment_value"] == 0.5 for op in increment_list) + for key in expected_keys: + assert counter_cache.in_memory_cache.get_cache(key=key) == 1.5 + + +@pytest.mark.asyncio +async def test_increment_spend_counters_pipeline_failure_invalidates_all_counters( + monkeypatch, +): + """A failing pipeline must invalidate every pending counter so the next + request reseeds from the DB (which already holds this request's cost) + instead of trusting a value the write may have partially applied.""" + from redis.exceptions import MaxConnectionsError + + counter_cache = ps.DualCache() + pending_keys = ( + "spend:key:hashed", + "spend:team:team-1", + "spend:team_member:user-1:team-1", + "spend:user:user-1", + "spend:end_user:eu-1", + "spend:tag:tag-a", + "spend:tag:tag-b", + "spend:org:org-1", + ) + for key in pending_keys: + counter_cache.in_memory_cache.set_cache(key=key, value=1.0) + fake_redis = AsyncMock() + fake_redis.async_get_cache = AsyncMock(return_value=1.0) # counters warm + fake_redis.async_increment_pipeline = AsyncMock(side_effect=MaxConnectionsError()) + fake_redis.async_increment = AsyncMock() + fake_redis.async_delete_cache = AsyncMock() + fake_redis.get_ttl = MagicMock(return_value=None) + counter_cache.redis_cache = fake_redis + monkeypatch.setattr(ps, "spend_counter_cache", counter_cache) + monkeypatch.setattr(ps, "user_api_key_cache", ps.DualCache()) + monkeypatch.setattr(ps, "prisma_client", None) + + with pytest.raises(MaxConnectionsError): + await ps.increment_spend_counters( + token="hashed", + team_id="team-1", + user_id="user-1", + response_cost=0.5, + org_id="org-1", + end_user_id="eu-1", + tags=["tag-a", "tag-b"], + ) + + assert fake_redis.async_increment.await_count == 0 + deleted_keys = {call.kwargs["key"] for call in fake_redis.async_delete_cache.await_args_list} + assert deleted_keys == set(pending_keys) + for key in pending_keys: + assert counter_cache.in_memory_cache.get_cache(key=key) is None # --------------------------------------------------------------------------- @@ -781,9 +887,7 @@ async def test_increment_spend_counters_zero_cost_is_noop_finalizes_reservation( @pytest.mark.asyncio async def test_reconcile_budget_reservation_for_counter_update_returns_empty_set_when_none(): - result = await ps._reconcile_budget_reservation_for_counter_update( - budget_reservation=None, response_cost=1.0 - ) + result = await ps._reconcile_budget_reservation_for_counter_update(budget_reservation=None, response_cost=1.0) assert result == set() @@ -818,179 +922,151 @@ async def test_reconcile_budget_reservation_for_counter_update_failure_invalidat # --------------------------------------------------------------------------- -# _increment_end_user_and_tag_spend_counters +# _prepare_end_user_and_tag_spend_increments # --------------------------------------------------------------------------- @pytest.mark.asyncio -async def test_increment_end_user_and_tag_spend_counters_increments_each_unique_tag( +async def test_prepare_end_user_and_tag_spend_increments_returns_each_unique_tag( monkeypatch, ): - fake_cache = _make_spend_counter_cache( - redis_get_value=None, redis_increment_value=3.0 - ) + fake_cache = _make_spend_counter_cache(redis_get_value=1.0) fake_user_cache = _make_user_api_key_cache() monkeypatch.setattr(ps, "spend_counter_cache", fake_cache) monkeypatch.setattr(ps, "user_api_key_cache", fake_user_cache) monkeypatch.setattr(ps, "prisma_client", None) - monkeypatch.setattr( - ps.SpendCounterReseed, "coalesced", AsyncMock(return_value=None) - ) + monkeypatch.setattr(ps.SpendCounterReseed, "coalesced", AsyncMock(return_value=None)) - await ps._increment_end_user_and_tag_spend_counters( + pending = await ps._prepare_end_user_and_tag_spend_increments( end_user_id="eu1", tags=["a", "b", "a", "", None], response_cost=3.0, reserved_counter_keys=set(), ) - observed = { - "increment_calls": fake_cache.redis_cache.async_increment.call_count, - "in_memory_set_calls": fake_cache.in_memory_cache.set_cache.call_count, - "called": fake_cache.redis_cache.async_increment.called, - } - assert normalize(observed) == { - "increment_calls": 3, - "in_memory_set_calls": 3, - "called": True, + assert {item.counter_key for item in pending} == { + "spend:end_user:eu1", + "spend:tag:a", + "spend:tag:b", } + assert all(item.increment == 3.0 for item in pending) @pytest.mark.asyncio -async def test_increment_end_user_and_tag_spend_counters_no_end_user_no_tags_invalid_input_noop( +async def test_prepare_end_user_and_tag_spend_increments_no_end_user_no_tags_invalid_input_noop( monkeypatch, ): fake_cache = _make_spend_counter_cache() monkeypatch.setattr(ps, "spend_counter_cache", fake_cache) - await ps._increment_end_user_and_tag_spend_counters( + pending = await ps._prepare_end_user_and_tag_spend_increments( end_user_id=None, tags=None, response_cost=1.0, reserved_counter_keys=set(), ) + assert pending == () assert fake_cache.redis_cache.async_increment.called is False # --------------------------------------------------------------------------- -# _increment_org_spend_counter +# _prepare_org_spend_increment # --------------------------------------------------------------------------- @pytest.mark.asyncio -async def test_increment_org_spend_counter_increments_when_org_present(monkeypatch): - fake_cache = _make_spend_counter_cache( - redis_get_value=None, redis_increment_value=10.0 - ) +async def test_prepare_org_spend_increment_returns_pending_when_org_present(monkeypatch): + fake_cache = _make_spend_counter_cache(redis_get_value=1.0) fake_user_cache = _make_user_api_key_cache() monkeypatch.setattr(ps, "spend_counter_cache", fake_cache) monkeypatch.setattr(ps, "user_api_key_cache", fake_user_cache) monkeypatch.setattr(ps, "prisma_client", None) - monkeypatch.setattr( - ps.SpendCounterReseed, "coalesced", AsyncMock(return_value=None) - ) + monkeypatch.setattr(ps.SpendCounterReseed, "coalesced", AsyncMock(return_value=None)) - await ps._increment_org_spend_counter( + pending = await ps._prepare_org_spend_increment( org_id="org-1", response_cost=10.0, reserved_counter_keys=set(), ) - observed = { - "increment_called": fake_cache.redis_cache.async_increment.called, - "increment_calls": fake_cache.redis_cache.async_increment.call_count, - "counter_key_arg": fake_cache.redis_cache.async_increment.call_args.kwargs[ - "key" - ], - } - assert normalize(observed) == { - "increment_called": True, - "increment_calls": 1, - "counter_key_arg": "spend:org:org-1", - } + assert len(pending) == 1 + assert pending[0].counter_key == "spend:org:org-1" + assert pending[0].increment == 10.0 @pytest.mark.asyncio -async def test_increment_org_spend_counter_no_org_is_noop_invalid_id(monkeypatch): +async def test_prepare_org_spend_increment_no_org_is_noop_invalid_id(monkeypatch): fake_cache = _make_spend_counter_cache() monkeypatch.setattr(ps, "spend_counter_cache", fake_cache) - await ps._increment_org_spend_counter( + pending = await ps._prepare_org_spend_increment( org_id=None, response_cost=1.0, reserved_counter_keys=set(), ) + assert pending == () assert fake_cache.redis_cache.async_increment.called is False # --------------------------------------------------------------------------- -# _init_and_increment_unreserved_spend_counter +# _prepare_unreserved_spend_counter_increment # --------------------------------------------------------------------------- @pytest.mark.asyncio -async def test_init_and_increment_unreserved_spend_counter_skips_reserved_keys( +async def test_prepare_unreserved_spend_counter_increment_skips_reserved_keys( monkeypatch, ): fake_cache = _make_spend_counter_cache() monkeypatch.setattr(ps, "spend_counter_cache", fake_cache) - await ps._init_and_increment_unreserved_spend_counter( + pending = await ps._prepare_unreserved_spend_counter_increment( counter_key="spend:tag:x", source_cache_key="tag:x", increment=1.0, reserved_counter_keys={"spend:tag:x"}, ) + assert pending is None assert fake_cache.redis_cache.async_increment.called is False @pytest.mark.asyncio -async def test_init_and_increment_unreserved_spend_counter_proceeds_when_not_reserved( +async def test_prepare_unreserved_spend_counter_increment_proceeds_when_not_reserved( monkeypatch, ): - fake_cache = _make_spend_counter_cache( - redis_get_value=None, redis_increment_value=2.0 - ) + fake_cache = _make_spend_counter_cache(redis_get_value=None) fake_user_cache = _make_user_api_key_cache() + reseed = AsyncMock(return_value=None) monkeypatch.setattr(ps, "spend_counter_cache", fake_cache) monkeypatch.setattr(ps, "user_api_key_cache", fake_user_cache) monkeypatch.setattr(ps, "prisma_client", None) - monkeypatch.setattr( - ps.SpendCounterReseed, "coalesced", AsyncMock(return_value=None) - ) + monkeypatch.setattr(ps.SpendCounterReseed, "coalesced", reseed) - await ps._init_and_increment_unreserved_spend_counter( + pending = await ps._prepare_unreserved_spend_counter_increment( counter_key="spend:tag:y", source_cache_key="tag:y", increment=2.0, reserved_counter_keys=set(), ) - observed = { - "increment_called": fake_cache.redis_cache.async_increment.called, - "redis_get_called": fake_cache.redis_cache.async_get_cache.called, - "reseed_consulted": True, - } - assert observed == { - "increment_called": True, - "redis_get_called": True, - "reseed_consulted": True, - } + assert pending is not None + assert pending.counter_key == "spend:tag:y" + assert pending.increment == 2.0 + assert fake_cache.redis_cache.async_get_cache.called is True + assert reseed.called is True # --------------------------------------------------------------------------- -# _init_and_increment_spend_counter +# _prepare_spend_counter_increment # --------------------------------------------------------------------------- @pytest.mark.asyncio -async def test_init_and_increment_spend_counter_warm_cache_skips_reseed(monkeypatch): - fake_cache = _make_spend_counter_cache( - redis_get_value=11.0, redis_increment_value=14.0 - ) +async def test_prepare_spend_counter_increment_warm_cache_skips_reseed(monkeypatch): + fake_cache = _make_spend_counter_cache(redis_get_value=11.0) fake_user_cache = _make_user_api_key_cache() monkeypatch.setattr(ps, "spend_counter_cache", fake_cache) monkeypatch.setattr(ps, "user_api_key_cache", fake_user_cache) @@ -998,12 +1074,14 @@ async def test_init_and_increment_spend_counter_warm_cache_skips_reseed(monkeypa reseed = AsyncMock(return_value=None) monkeypatch.setattr(ps.SpendCounterReseed, "coalesced", reseed) - await ps._init_and_increment_spend_counter( + pending = await ps._prepare_spend_counter_increment( counter_key="spend:key:k", source_cache_key="k", increment=3.0, ) + assert pending.counter_key == "spend:key:k" + assert pending.increment == 3.0 observed = { "reseed_called": reseed.called, "increment_called": fake_cache.redis_cache.async_increment.called, @@ -1011,23 +1089,21 @@ async def test_init_and_increment_spend_counter_warm_cache_skips_reseed(monkeypa } assert normalize(observed) == { "reseed_called": False, - "increment_called": True, + "increment_called": False, "in_memory_seeded_from_redis": True, } # --------------------------------------------------------------------------- -# _init_and_increment_window_spend_counter +# _prepare_window_spend_counter_increment # --------------------------------------------------------------------------- @pytest.mark.asyncio -async def test_init_and_increment_window_spend_counter_increments_when_initialized( +async def test_prepare_window_spend_counter_increment_returns_pending_when_initialized( monkeypatch, ): - fake_cache = _make_spend_counter_cache( - redis_get_value=0.0, redis_increment_value=5.0 - ) + fake_cache = _make_spend_counter_cache(redis_get_value=0.0) monkeypatch.setattr(ps, "spend_counter_cache", fake_cache) monkeypatch.setattr(ps, "prisma_client", None) monkeypatch.setattr( @@ -1036,7 +1112,7 @@ async def test_init_and_increment_window_spend_counter_increments_when_initializ AsyncMock(return_value=0.0), ) - await ps._init_and_increment_window_spend_counter( + pending = await ps._prepare_window_spend_counter_increment( counter_key="spend:key:k:window:1d", entity_type="Key", entity_id="k", @@ -1045,26 +1121,19 @@ async def test_init_and_increment_window_spend_counter_increments_when_initializ increment=5.0, ) - observed = { - "redis_increment_called": fake_cache.redis_cache.async_increment.called, - "increment_calls": fake_cache.redis_cache.async_increment.call_count, - "in_memory_set_calls": fake_cache.in_memory_cache.set_cache.call_count, - } - assert normalize(observed) == { - "redis_increment_called": True, - "increment_calls": 1, - "in_memory_set_calls": 2, - } + assert pending is not None + assert pending.counter_key == "spend:key:k:window:1d" + assert pending.increment == 5.0 @pytest.mark.asyncio -async def test_init_and_increment_window_spend_counter_missing_window_start_invalid_skips( +async def test_prepare_window_spend_counter_increment_missing_window_start_invalid_skips( monkeypatch, ): fake_cache = _make_spend_counter_cache() monkeypatch.setattr(ps, "spend_counter_cache", fake_cache) - await ps._init_and_increment_window_spend_counter( + pending = await ps._prepare_window_spend_counter_increment( counter_key="spend:key:k:window:1d", entity_type="Key", entity_id="k", @@ -1073,6 +1142,7 @@ async def test_init_and_increment_window_spend_counter_missing_window_start_inva increment=5.0, ) + assert pending is None assert fake_cache.redis_cache.async_increment.called is False @@ -1114,16 +1184,12 @@ async def test_ensure_spend_counter_initialized_warm_skips_reseed_and_source( async def test_ensure_spend_counter_initialized_cold_seeds_from_source_cache( monkeypatch, ): - fake_cache = _make_spend_counter_cache( - redis_get_value=None, redis_increment_value=7.0 - ) + fake_cache = _make_spend_counter_cache(redis_get_value=None, redis_increment_value=7.0) fake_user_cache = _make_user_api_key_cache(get_value={"spend": 7.0}) monkeypatch.setattr(ps, "spend_counter_cache", fake_cache) monkeypatch.setattr(ps, "user_api_key_cache", fake_user_cache) monkeypatch.setattr(ps, "prisma_client", None) - monkeypatch.setattr( - ps.SpendCounterReseed, "coalesced", AsyncMock(return_value=None) - ) + monkeypatch.setattr(ps.SpendCounterReseed, "coalesced", AsyncMock(return_value=None)) await ps._ensure_spend_counter_initialized( counter_key="spend:user:u", @@ -1163,9 +1229,7 @@ async def test_get_source_cache_base_spend_reads_first_hit_from_list(monkeypatch fake_user_cache.async_get_cache = AsyncMock(side_effect=_get) monkeypatch.setattr(ps, "user_api_key_cache", fake_user_cache) - result = await ps._get_source_cache_base_spend( - source_cache_key=["miss", "hit-obj", "miss2"] - ) + result = await ps._get_source_cache_base_spend(source_cache_key=["miss", "hit-obj", "miss2"]) observed = { "result": result, @@ -1294,9 +1358,7 @@ async def test_increment_spend_counter_cache_redis_path_returns_new_value(monkey fake_cache = _make_spend_counter_cache(redis_increment_value=44.0) monkeypatch.setattr(ps, "spend_counter_cache", fake_cache) - result = await ps._increment_spend_counter_cache( - counter_key="spend:key:k", increment=4.0 - ) + result = await ps._increment_spend_counter_cache(counter_key="spend:key:k", increment=4.0) observed = { "result": result, @@ -1314,15 +1376,11 @@ async def test_increment_spend_counter_cache_redis_path_returns_new_value(monkey async def test_increment_spend_counter_cache_redis_error_raises_and_invalidates( monkeypatch, ): - fake_cache = _make_spend_counter_cache( - redis_increment_side_effect=RuntimeError("incr fail") - ) + fake_cache = _make_spend_counter_cache(redis_increment_side_effect=RuntimeError("incr fail")) monkeypatch.setattr(ps, "spend_counter_cache", fake_cache) with pytest.raises(RuntimeError): - await ps._increment_spend_counter_cache( - counter_key="spend:key:k", increment=1.0 - ) + await ps._increment_spend_counter_cache(counter_key="spend:key:k", increment=1.0) assert fake_cache.in_memory_cache.delete_cache.called is True assert fake_cache.redis_cache.async_delete_cache.called is True @@ -1343,9 +1401,7 @@ async def test_invalidate_spend_counter_deletes_in_memory_and_redis(monkeypatch) observed = { "in_memory_delete_called": fake_cache.in_memory_cache.delete_cache.called, "redis_delete_called": fake_cache.redis_cache.async_delete_cache.called, - "delete_args_key": fake_cache.redis_cache.async_delete_cache.call_args.kwargs[ - "key" - ], + "delete_args_key": fake_cache.redis_cache.async_delete_cache.call_args.kwargs["key"], } assert normalize(observed) == { "in_memory_delete_called": True, @@ -1357,9 +1413,7 @@ async def test_invalidate_spend_counter_deletes_in_memory_and_redis(monkeypatch) @pytest.mark.asyncio async def test_invalidate_spend_counter_swallows_redis_failure_no_raise(monkeypatch): fake_cache = _make_spend_counter_cache() - fake_cache.redis_cache.async_delete_cache = AsyncMock( - side_effect=RuntimeError("redis down") - ) + fake_cache.redis_cache.async_delete_cache = AsyncMock(side_effect=RuntimeError("redis down")) monkeypatch.setattr(ps, "spend_counter_cache", fake_cache) await ps._invalidate_spend_counter(counter_key="spend:key:k") diff --git a/tests/test_litellm/proxy/realtime_endpoints/test_realtime_webrtc_endpoints.py b/tests/test_litellm/proxy/realtime_endpoints/test_realtime_webrtc_endpoints.py index 66eeb3cef34..82f2ef097aa 100644 --- a/tests/test_litellm/proxy/realtime_endpoints/test_realtime_webrtc_endpoints.py +++ b/tests/test_litellm/proxy/realtime_endpoints/test_realtime_webrtc_endpoints.py @@ -6,10 +6,13 @@ Tests for LiteLLM proxy realtime WebRTC HTTP endpoints: import json import time +from collections.abc import Awaitable +from typing import Protocol from unittest.mock import AsyncMock, MagicMock, patch import httpx import pytest +from fastapi import FastAPI, HTTPException from fastapi.testclient import TestClient @@ -159,17 +162,27 @@ def mock_route_request_realtime_calls(): return _mock_route +class AddLitellmDataToRequest(Protocol): + def __call__(self, data: dict[str, object], **kwargs: object) -> Awaitable[dict[str, object]]: ... + + +class PreCallHook(Protocol): + def __call__( + self, user_api_key_dict: UserAPIKeyAuth, data: dict[str, object], call_type: str + ) -> Awaitable[dict[str, object]]: ... + + @pytest.fixture -def mock_add_litellm_data(): - async def _mock(data, **kwargs): +def mock_add_litellm_data() -> AddLitellmDataToRequest: + async def _mock(data: dict[str, object], **kwargs: object) -> dict[str, object]: return data return _mock @pytest.fixture -def mock_pre_call_hook(): - async def _mock(user_api_key_dict, data, call_type): +def mock_pre_call_hook() -> PreCallHook: + async def _mock(user_api_key_dict: UserAPIKeyAuth, data: dict[str, object], call_type: str) -> dict[str, object]: return data return _mock @@ -1199,3 +1212,78 @@ async def test_transcription_sessions_wraps_route_exception( assert "Model not allowed" in response.text finally: proxy_app.dependency_overrides.pop(user_api_key_auth, None) + + +def test_realtime_calls_upstream_rejection_answers_an_openai_typed_error( + proxy_app: FastAPI, + mock_add_litellm_data: AddLitellmDataToRequest, + mock_pre_call_hook: PreCallHook, + monkeypatch: pytest.MonkeyPatch, +): + """A bare HTTPException carries no type or param, so the tail used to ship the + literal string "None" in both fields of the error the browser client reads.""" + token_payload = _encode_realtime_token_payload( + ephemeral_key="fake_upstream_epk", + model_id="gpt-4o-realtime-preview", + user_id=None, + team_id=None, + expires_at=int(time.time()) + 3600, + ) + encrypted_token = encrypt_value_helper(token_payload) + + async def failing_route_request(*args: object, **kwargs: object) -> None: + raise HTTPException( + status_code=404, + detail={"error": "realtime: Invalid model name passed in model=gpt-4o-realtime-preview"}, + ) + + proxy_logging = MagicMock() + proxy_logging.pre_call_hook = AsyncMock(side_effect=mock_pre_call_hook) + proxy_logging.post_call_failure_hook = AsyncMock() + monkeypatch.setattr("litellm.proxy.proxy_server.route_request", failing_route_request) + monkeypatch.setattr("litellm.proxy.proxy_server.add_litellm_data_to_request", mock_add_litellm_data) + monkeypatch.setattr("litellm.proxy.proxy_server.proxy_logging_obj", proxy_logging) + + response = TestClient(proxy_app).post( + "/v1/realtime/calls", + headers={"Authorization": f"Bearer {encrypted_token}"}, + content=b"v=0\r\no=- 0 0 IN IP4 0.0.0.0\r\ns=-\r\n", + ) + + assert response.status_code == 404 + assert (response.json()["error"]["type"], response.json()["error"]["param"]) == ("invalid_request_error", None) + + +def test_transcription_sessions_rejection_answers_an_openai_typed_error( + proxy_app: FastAPI, + mock_add_litellm_data: AddLitellmDataToRequest, + mock_pre_call_hook: PreCallHook, + monkeypatch: pytest.MonkeyPatch, +): + """A model the router cannot serve surfaces as a bare HTTPException, which this tail + used to relabel with the literal string "None" for both type and param.""" + + async def failing_route_request(*args: object, **kwargs: object) -> None: + raise HTTPException( + status_code=400, + detail={"error": "realtime: Invalid model name passed in model=no-such-transcribe"}, + ) + + proxy_logging = MagicMock() + proxy_logging.pre_call_hook = AsyncMock(side_effect=mock_pre_call_hook) + proxy_logging.post_call_failure_hook = AsyncMock() + monkeypatch.setattr("litellm.proxy.proxy_server.route_request", failing_route_request) + monkeypatch.setattr("litellm.proxy.proxy_server.add_litellm_data_to_request", mock_add_litellm_data) + monkeypatch.setattr("litellm.proxy.proxy_server.proxy_logging_obj", proxy_logging) + proxy_app.dependency_overrides[user_api_key_auth] = lambda: UserAPIKeyAuth(user_id="test-user") + try: + response = TestClient(proxy_app, raise_server_exceptions=False).post( + "/v1/realtime/transcription_sessions", + headers={"Authorization": "Bearer sk-test-master-key"}, + json={"input_audio_transcription": {"model": "no-such-transcribe"}}, + ) + finally: + proxy_app.dependency_overrides.pop(user_api_key_auth, None) + + assert response.status_code == 400 + assert (response.json()["error"]["type"], response.json()["error"]["param"]) == ("invalid_request_error", None) diff --git a/tests/test_litellm/proxy/rerank_endpoints/test_endpoints.py b/tests/test_litellm/proxy/rerank_endpoints/test_endpoints.py index 9f11ff6f20d..ea858e04e0f 100644 --- a/tests/test_litellm/proxy/rerank_endpoints/test_endpoints.py +++ b/tests/test_litellm/proxy/rerank_endpoints/test_endpoints.py @@ -6,11 +6,11 @@ import json from unittest.mock import AsyncMock, MagicMock, patch import pytest -from fastapi import Request, Response +from fastapi import HTTPException, Request, Response import litellm.proxy.common_request_processing as common_request_processing_mod import litellm.proxy.proxy_server as proxy_server_mod -from litellm.proxy._types import UserAPIKeyAuth +from litellm.proxy._types import ProxyException, UserAPIKeyAuth from litellm.proxy.rerank_endpoints.endpoints import rerank from litellm.types.utils import RerankResponse @@ -118,3 +118,55 @@ async def test_rerank_omits_detailed_timing_headers_when_disabled(): fastapi_response = await _call_rerank() assert "x-litellm-timing-llm-api-ms" not in fastapi_response.headers + + +async def _rerank_failure( + failure: Exception, *, raised_before_routing: bool, monkeypatch: pytest.MonkeyPatch +) -> ProxyException: + proxy_logging_obj = MagicMock() + proxy_logging_obj.pre_call_hook = AsyncMock( + side_effect=failure if raised_before_routing else lambda **kwargs: kwargs["data"] + ) + proxy_logging_obj.post_call_failure_hook = AsyncMock() + + async def fake_add_litellm_data_to_request(**kwargs: object) -> object: + return kwargs["data"] + + async def failing_route_request(**kwargs: object) -> None: + raise failure + + monkeypatch.setattr(proxy_server_mod, "add_litellm_data_to_request", fake_add_litellm_data_to_request) + monkeypatch.setattr(proxy_server_mod, "route_request", failing_route_request) + monkeypatch.setattr(proxy_server_mod, "proxy_logging_obj", proxy_logging_obj) + monkeypatch.setattr(proxy_server_mod, "llm_router", MagicMock()) + monkeypatch.setattr(proxy_server_mod, "version", "1.2.3") + + with pytest.raises(ProxyException) as raised: + await rerank( + request=_build_request(), + fastapi_response=Response(), + user_api_key_dict=UserAPIKeyAuth(api_key="sk-test"), + ) + return raised.value + + +@pytest.mark.asyncio +async def test_a_model_the_router_cannot_serve_answers_an_openai_typed_error(monkeypatch: pytest.MonkeyPatch): + """A bare HTTPException carries no type or param, so the tail used to ship the + literal string "None" in both fields.""" + failure = HTTPException(status_code=404, detail={"error": "rerank: Invalid model name passed in model=rerank-model"}) + + error = await _rerank_failure(failure, raised_before_routing=False, monkeypatch=monkeypatch) + + assert (error.type, error.param, error.code) == ("invalid_request_error", None, "404") + + +@pytest.mark.asyncio +async def test_a_rejection_raised_before_routing_keeps_its_own_status(monkeypatch: pytest.MonkeyPatch): + """A ProxyException stores its status as the string ``code``, which the tail used to + miss and rewrap as a 500 while keeping the 4xx type and param.""" + rejection = ProxyException(message="session_id is required", type="bad_request_error", param="session_id", code=400) + + error = await _rerank_failure(rejection, raised_before_routing=True, monkeypatch=monkeypatch) + + assert (error.type, error.param, error.code) == ("bad_request_error", "session_id", "400") diff --git a/tests/test_litellm/proxy/spend_tracking/test_budget_reservation.py b/tests/test_litellm/proxy/spend_tracking/test_budget_reservation.py index c7de8c943ad..de6c7c2a40a 100644 --- a/tests/test_litellm/proxy/spend_tracking/test_budget_reservation.py +++ b/tests/test_litellm/proxy/spend_tracking/test_budget_reservation.py @@ -2,6 +2,7 @@ from typing import Final import pytest +import litellm.proxy.proxy_server as proxy_server from litellm.caching import DualCache from litellm.proxy._types import UserAPIKeyAuth from litellm.proxy.common_utils.user_api_key_cache import UserApiKeyCache @@ -13,6 +14,13 @@ TOKEN_COUNTING_ROUTES: Final = ( "/v1/responses/input_tokens", "/openai/v1/responses/input_tokens", "/utils/token_counter", + "/v1/messages/count_tokens", + "/v1beta/models/gemini-3.8-flash:countTokens", + "/models/gemini-3.8-flash:countTokens", + "/bedrock/v1/messages/count-tokens", + "/bedrock/model/us.anthropic.claude-sonnet-4-6/count-tokens", + "/vertex_ai/v1/projects/p/locations/us-east5/publishers/anthropic/models/count-tokens:rawPredict", + "/vertex-ai/v1/projects/p/locations/us-east5/publishers/anthropic/models/count-tokens:rawPredict", ) @@ -48,6 +56,62 @@ async def test_non_exempt_llm_route_still_reserves_budget(): assert reservation["reserved_cost"] > 0 +ANTHROPIC_MESSAGES: Final = [{"role": "user", "content": "hello!!!"}] +COUNT_TOKENS_REQUESTS: Final[tuple[tuple[str, dict[str, object]], ...]] = ( + ("/v1/messages/count_tokens", {"model": "claude-sonnet-5", "messages": ANTHROPIC_MESSAGES}), + ("/v1beta/models/gemini-3.8-flash:countTokens", {"contents": [{"role": "user", "parts": [{"text": "hello!!!"}]}]}), + ( + "/vertex_ai/v1/projects/p/locations/us-east5/publishers/anthropic/models/count-tokens:rawPredict", + {"model": "claude-sonnet-5", "messages": ANTHROPIC_MESSAGES}, + ), + ("/bedrock/v1/messages/count-tokens", {"model": "claude-sonnet-5", "messages": ANTHROPIC_MESSAGES}), +) +TINY_BUDGET_KEY_TOKEN: Final = "hashed-count-tokens-key" + + +@pytest.fixture +def spend_counter_cache(monkeypatch: pytest.MonkeyPatch) -> DualCache: + cache: Final = DualCache() + monkeypatch.setattr(proxy_server, "spend_counter_cache", cache) + monkeypatch.setattr(proxy_server, "prisma_client", None) + return cache + + +async def _reserve_for_tiny_budget_key(route: str, request_body: dict[str, object]) -> dict[str, object] | None: + return await reserve_budget_for_request( + request_body=request_body, + route=route, + llm_router=None, + valid_token=UserAPIKeyAuth(token=TINY_BUDGET_KEY_TOKEN, max_budget=0.01, spend=0.0), + team_object=None, + user_object=None, + prisma_client=None, + user_api_key_cache=UserApiKeyCache(), + proxy_logging_obj=ProxyLogging(user_api_key_cache=DualCache()), + ) + + +@pytest.mark.asyncio +@pytest.mark.parametrize(("route", "request_body"), COUNT_TOKENS_REQUESTS) +async def test_repeated_token_counting_never_touches_a_tiny_budget( + spend_counter_cache: DualCache, route: str, request_body: dict[str, object] +): + counter_key: Final = f"spend:key:{TINY_BUDGET_KEY_TOKEN}" + + assert await _reserve_for_tiny_budget_key(route, request_body) is None + assert await _reserve_for_tiny_budget_key(route, request_body) is None + assert spend_counter_cache.in_memory_cache.get_cache(key=counter_key) is None + + completion: Final = await _reserve_for_tiny_budget_key( + "/v1/messages", {"model": "claude-sonnet-5", "max_tokens": 16, "messages": ANTHROPIC_MESSAGES} + ) + assert completion is not None + reserved_cost: Final = completion["reserved_cost"] + assert isinstance(reserved_cost, float) + assert reserved_cost > 0 + assert spend_counter_cache.in_memory_cache.get_cache(key=counter_key) == pytest.approx(reserved_cost) + + BEDROCK_SONNET: Final = "us.anthropic.claude-sonnet-4-6" CONVERSE_BODY: Final = { "messages": [{"role": "user", "content": [{"text": "Reply with one word: pong"}]}], diff --git a/tests/test_litellm/proxy/spend_tracking/test_budget_reservation_redis_failure.py b/tests/test_litellm/proxy/spend_tracking/test_budget_reservation_redis_failure.py index c123eeeed36..6165af4920d 100644 --- a/tests/test_litellm/proxy/spend_tracking/test_budget_reservation_redis_failure.py +++ b/tests/test_litellm/proxy/spend_tracking/test_budget_reservation_redis_failure.py @@ -41,6 +41,15 @@ class _FlakyRedisCache: self._store[key] = float(value) return True + async def async_increment_pipeline(self, increment_list, **kwargs): + results = [] + for op in increment_list: + results.append(await self.async_increment(op["key"], op["increment_value"])) + return results + + def get_ttl(self, **kwargs): + return None + @pytest.mark.asyncio async def test_direct_increment_runs_when_reservation_reconcile_hits_redis_failure( diff --git a/tests/test_litellm/proxy/spend_tracking/test_key_metadata_recovery.py b/tests/test_litellm/proxy/spend_tracking/test_key_metadata_recovery.py index 7a80319239d..89be341c87b 100644 --- a/tests/test_litellm/proxy/spend_tracking/test_key_metadata_recovery.py +++ b/tests/test_litellm/proxy/spend_tracking/test_key_metadata_recovery.py @@ -1,21 +1,60 @@ +import asyncio +import time from collections.abc import Sequence +from datetime import datetime, timedelta from types import SimpleNamespace from unittest.mock import AsyncMock, MagicMock import pytest from prisma.errors import PrismaError +from litellm.caching.in_memory_cache import InMemoryCache +from litellm.constants import ( + SPEND_LOG_KEY_METADATA_CACHE_TTL, + SPEND_LOG_KEY_METADATA_MISS_CACHE_TTL, + SPEND_LOG_KEY_METADATA_QUERY_TIMEOUT_MS, +) from litellm.proxy.spend_tracking.key_metadata_recovery import ( fill_missing_api_key_aliases, recover_double_hashed_key_metadata, + recover_key_metadata_from_spend_logs, ) from litellm.proxy.utils import hash_token -def _digest_row(digest: str, key_alias: str, team_id: str | None, user_id: str | None) -> dict[str, str | None]: +def _digest_row(digest: str, key_alias: str | None, team_id: str | None, user_id: str | None) -> dict[str, str | None]: return {"digest": digest, "key_alias": key_alias, "team_id": team_id, "user_id": user_id} +def _query_raw_spend_logs(rows: Sequence[dict[str, str | None]]) -> AsyncMock: + async def query_raw(sql: str, *params: object) -> list[dict[str, str | None]]: + if '"LiteLLM_SpendLogs"' in sql: + return list(rows) + raise AssertionError(f"unexpected query: {sql}") + + return AsyncMock(side_effect=query_raw) + + +def _spend_log_row(digest: str, key_alias: str | None, team_id: str | None, user_id: str | None) -> dict[str, str | None]: + return { + "digest": digest, + "first_alias": key_alias, + "last_alias": key_alias, + "first_team": team_id, + "last_team": team_id, + "first_owner": user_id, + "last_owner": user_id, + } + + +def _spend_log_transaction(mock_prisma: MagicMock, query_raw: AsyncMock) -> AsyncMock: + transaction = MagicMock() + transaction.execute_raw = AsyncMock(return_value=0) + transaction.query_raw = query_raw + mock_prisma.db.tx.return_value.__aenter__.return_value = transaction + return query_raw + + def _query_raw_by_table( active_rows: Sequence[dict[str, str | None]], deleted_rows: Sequence[dict[str, str | None]], @@ -218,3 +257,334 @@ async def test_fill_missing_api_key_aliases_skips_named_keys_that_have_no_email( assert filled == rows mock_prisma.db.query_raw.assert_not_called() + + +@pytest.mark.asyncio +async def test_recover_key_metadata_from_spend_logs_resolves_session_token_from_metadata(): + session_digest = hash_token("cli-session-repro-user-6852") + window = (datetime(2026, 9, 7), datetime(2026, 9, 10)) + mock_prisma = MagicMock() + query_raw = _spend_log_transaction( + mock_prisma, + _query_raw_spend_logs( + [_spend_log_row(session_digest, "cli-session-repro-user-6852", None, "repro-user-6852")] + ), + ) + + result = await recover_key_metadata_from_spend_logs(mock_prisma, {session_digest}, window, cache=InMemoryCache()) + + assert result[session_digest]["key_alias"] == "cli-session-repro-user-6852" + assert result[session_digest]["user_id"] == "repro-user-6852" + ((_, digests, start, end),) = [call.args for call in query_raw.call_args_list] + assert digests == [session_digest] + assert (start, end) == window + + +@pytest.mark.asyncio +async def test_recover_key_metadata_from_spend_logs_skips_query_when_no_missing_keys(): + window = (datetime(2026, 9, 7), datetime(2026, 9, 10)) + mock_prisma = MagicMock() + query_raw = _spend_log_transaction(mock_prisma, AsyncMock(return_value=[])) + + result = await recover_key_metadata_from_spend_logs(mock_prisma, set(), window, cache=InMemoryCache()) + + assert result == {} + query_raw.assert_not_called() + + +@pytest.mark.asyncio +async def test_recover_key_metadata_from_spend_logs_returns_empty_on_prisma_error(): + window = (datetime(2026, 9, 7), datetime(2026, 9, 10)) + mock_prisma = MagicMock() + query_raw = _spend_log_transaction(mock_prisma, AsyncMock(side_effect=PrismaError("db down"))) + + result = await recover_key_metadata_from_spend_logs( + mock_prisma, {hash_token("cli-session-x")}, window, cache=InMemoryCache() + ) + + assert result == {} + + +@pytest.mark.asyncio +async def test_recover_key_metadata_from_spend_logs_ignores_foreign_and_all_null_rows(): + wanted = hash_token("cli-session-wanted") + all_null = hash_token("cli-session-null") + foreign = hash_token("cli-session-foreign") + window = (datetime(2026, 9, 7), datetime(2026, 9, 10)) + mock_prisma = MagicMock() + query_raw = _spend_log_transaction( + mock_prisma, + _query_raw_spend_logs( + [ + _spend_log_row(wanted, "kept-alias", None, "owner-1"), + _spend_log_row(all_null, None, None, None), + _spend_log_row(foreign, "foreign-alias", None, "owner-2"), + ] + ), + ) + + result = await recover_key_metadata_from_spend_logs(mock_prisma, {wanted, all_null}, window, cache=InMemoryCache()) + + assert set(result) == {wanted} + assert result[wanted]["key_alias"] == "kept-alias" + assert result[wanted]["user_id"] == "owner-1" + + +@pytest.mark.asyncio +async def test_recover_key_metadata_from_spend_logs_skips_non_sha256_keys(): + window = (datetime(2026, 9, 7), datetime(2026, 9, 10)) + mock_prisma = MagicMock() + query_raw = _spend_log_transaction(mock_prisma, AsyncMock(return_value=[])) + + result = await recover_key_metadata_from_spend_logs( + mock_prisma, {"cli-session-raw-1798", "key-hash-short"}, window, cache=InMemoryCache() + ) + + assert result == {} + query_raw.assert_not_called() + + +@pytest.mark.asyncio +async def test_recover_key_metadata_from_spend_logs_accepts_hashed_jwt_digests(): + jwt_digest = f"hashed-jwt-{hash_token('jwt-subject-1')}" + window = (datetime(2026, 9, 7), datetime(2026, 9, 10)) + mock_prisma = MagicMock() + query_raw = _spend_log_transaction(mock_prisma, _query_raw_spend_logs([_spend_log_row(jwt_digest, None, "team-jwt", "jwt-user")])) + + result = await recover_key_metadata_from_spend_logs(mock_prisma, {jwt_digest}, window, cache=InMemoryCache()) + + assert result[jwt_digest]["team_id"] == "team-jwt" + assert result[jwt_digest]["user_id"] == "jwt-user" + ((_, digests, _, _),) = [call.args for call in query_raw.call_args_list] + assert digests == [jwt_digest] + + +@pytest.mark.asyncio +async def test_recover_key_metadata_from_spend_logs_serves_repeat_lookups_from_the_cache(): + found = hash_token("cli-session-found") + unknown = hash_token("cli-session-unknown") + window = (datetime(2026, 9, 7), datetime(2026, 9, 10)) + cache = InMemoryCache() + mock_prisma = MagicMock() + query_raw = _spend_log_transaction(mock_prisma, _query_raw_spend_logs([_spend_log_row(found, "found-alias", None, "owner-1")])) + + first = await recover_key_metadata_from_spend_logs(mock_prisma, {found, unknown}, window, cache=cache) + second = await recover_key_metadata_from_spend_logs(mock_prisma, {found, unknown}, window, cache=cache) + + assert first == second + assert set(first) == {found} + assert first[found]["key_alias"] == "found-alias" + assert query_raw.await_count == 1 + + +@pytest.mark.asyncio +async def test_recover_key_metadata_from_spend_logs_only_queries_digests_the_cache_has_not_seen(): + cached_digest = hash_token("cli-session-cached") + new_digest = hash_token("cli-session-new") + window = (datetime(2026, 9, 7), datetime(2026, 9, 10)) + cache = InMemoryCache() + mock_prisma = MagicMock() + query_raw = _spend_log_transaction(mock_prisma, _query_raw_spend_logs([_spend_log_row(cached_digest, "cached-alias", None, None)])) + await recover_key_metadata_from_spend_logs(mock_prisma, {cached_digest}, window, cache=cache) + query_raw = _spend_log_transaction(mock_prisma, _query_raw_spend_logs([_spend_log_row(new_digest, "new-alias", None, None)])) + + result = await recover_key_metadata_from_spend_logs(mock_prisma, {cached_digest, new_digest}, window, cache=cache) + + assert result[cached_digest]["key_alias"] == "cached-alias" + assert result[new_digest]["key_alias"] == "new-alias" + ((_, digests, _, _),) = [call.args for call in query_raw.call_args_list] + assert digests == [new_digest] + + +@pytest.mark.asyncio +async def test_recover_key_metadata_from_spend_logs_rescans_when_the_window_changes(): + digest = hash_token("cli-session-windowed") + cache = InMemoryCache() + mock_prisma = MagicMock() + query_raw = _spend_log_transaction(mock_prisma, _query_raw_spend_logs([])) + await recover_key_metadata_from_spend_logs( + mock_prisma, {digest}, (datetime(2026, 9, 1), datetime(2026, 9, 4)), cache=cache + ) + query_raw = _spend_log_transaction(mock_prisma, _query_raw_spend_logs([_spend_log_row(digest, "later-alias", None, None)])) + + result = await recover_key_metadata_from_spend_logs( + mock_prisma, {digest}, (datetime(2026, 9, 7), datetime(2026, 9, 10)), cache=cache + ) + + assert result[digest]["key_alias"] == "later-alias" + assert query_raw.await_count == 1 + + +@pytest.mark.asyncio +async def test_recover_key_metadata_from_spend_logs_retries_a_failed_query_only_after_the_miss_ttl(): + digest = hash_token("cli-session-retry") + window = (datetime(2026, 9, 7), datetime(2026, 9, 10)) + cache = InMemoryCache(default_ttl=SPEND_LOG_KEY_METADATA_CACHE_TTL) + mock_prisma = MagicMock() + query_raw = _spend_log_transaction(mock_prisma, AsyncMock(side_effect=PrismaError("statement timeout"))) + started = time.time() + assert await recover_key_metadata_from_spend_logs(mock_prisma, {digest}, window, cache=cache) == {} + query_raw = _spend_log_transaction(mock_prisma, _query_raw_spend_logs([_spend_log_row(digest, "back-online", None, None)])) + + assert await recover_key_metadata_from_spend_logs(mock_prisma, {digest}, window, cache=cache) == {} + query_raw.assert_not_awaited() + miss_key = next(key for key in cache.ttl_dict if digest in key and not key.endswith(":missed-before")) + assert cache.ttl_dict[miss_key] - started <= SPEND_LOG_KEY_METADATA_MISS_CACHE_TTL + 1 + cache.ttl_dict[miss_key] = time.time() - 1 + + result = await recover_key_metadata_from_spend_logs(mock_prisma, {digest}, window, cache=cache) + + assert result[digest]["key_alias"] == "back-online" + + +@pytest.mark.asyncio +async def test_recover_key_metadata_from_spend_logs_drops_the_owner_of_a_digest_shared_by_several_users(): + shared_ui_digest = hash_token("ui-token") + window = (datetime(2026, 9, 7), datetime(2026, 9, 10)) + mock_prisma = MagicMock() + query_raw = _spend_log_transaction( + mock_prisma, + _query_raw_spend_logs( + [{**_spend_log_row(shared_ui_digest, "ui-token", "litellm-dashboard", None), "first_owner": "alice", "last_owner": "bob"}] + ), + ) + + result = await recover_key_metadata_from_spend_logs( + mock_prisma, {shared_ui_digest}, window, cache=InMemoryCache() + ) + + assert result[shared_ui_digest] == {"key_alias": "ui-token", "team_id": "litellm-dashboard", "user_id": None} + + +@pytest.mark.asyncio +async def test_recover_key_metadata_from_spend_logs_keeps_the_owner_when_every_named_row_agrees(): + digest = hash_token("cli-session-one-owner") + window = (datetime(2026, 9, 7), datetime(2026, 9, 10)) + mock_prisma = MagicMock() + query_raw = _spend_log_transaction( + mock_prisma, + _query_raw_spend_logs( + [_spend_log_row(digest, None, None, "carol")] + ), + ) + + result = await recover_key_metadata_from_spend_logs(mock_prisma, {digest}, window, cache=InMemoryCache()) + + assert result[digest]["user_id"] == "carol" + + +@pytest.mark.asyncio +async def test_recover_key_metadata_from_spend_logs_forgets_a_miss_long_before_a_hit(): + found = hash_token("cli-session-found") + unknown = hash_token("cli-session-unknown") + window = (datetime(2026, 9, 7), datetime(2026, 9, 10)) + cache = InMemoryCache(default_ttl=SPEND_LOG_KEY_METADATA_CACHE_TTL) + mock_prisma = MagicMock() + query_raw = _spend_log_transaction(mock_prisma, _query_raw_spend_logs([_spend_log_row(found, "found-alias", None, None)])) + started = time.time() + + await recover_key_metadata_from_spend_logs(mock_prisma, {found, unknown}, window, cache=cache) + + hit_expires = next(deadline for key, deadline in cache.ttl_dict.items() if found in key) + miss_expires = next(deadline for key, deadline in cache.ttl_dict.items() if unknown in key) + assert miss_expires - started <= SPEND_LOG_KEY_METADATA_MISS_CACHE_TTL + 1 + assert hit_expires - started >= SPEND_LOG_KEY_METADATA_CACHE_TTL - 1 + + +@pytest.mark.asyncio +async def test_recover_key_metadata_from_spend_logs_runs_one_query_for_concurrent_lookups(): + digest = hash_token("cli-session-shared") + window = (datetime(2026, 9, 7), datetime(2026, 9, 10)) + cache = InMemoryCache() + lock = asyncio.Lock() + mock_prisma = MagicMock() + + async def slow_query_raw(sql: str, *params: object) -> list[dict[str, str | None]]: + await asyncio.sleep(0.01) + return [_spend_log_row(digest, "shared-alias", None, None)] + + query_raw = _spend_log_transaction(mock_prisma, AsyncMock(side_effect=slow_query_raw)) + + results = await asyncio.gather( + *( + recover_key_metadata_from_spend_logs(mock_prisma, {digest}, window, cache=cache, lock=lock) + for _ in range(9) + ) + ) + + assert all(result[digest]["key_alias"] == "shared-alias" for result in results) + assert query_raw.await_count == 1 + + +@pytest.mark.asyncio +async def test_recover_key_metadata_from_spend_logs_keeps_a_repeated_miss_as_long_as_a_hit(): + unknown = hash_token("cli-session-never-named") + window = (datetime(2026, 9, 7), datetime(2026, 9, 10)) + cache = InMemoryCache(default_ttl=SPEND_LOG_KEY_METADATA_CACHE_TTL) + mock_prisma = MagicMock() + query_raw = _spend_log_transaction(mock_prisma, _query_raw_spend_logs([])) + await recover_key_metadata_from_spend_logs(mock_prisma, {unknown}, window, cache=cache) + first_miss_key = next(key for key in cache.ttl_dict if unknown in key and not key.endswith(":missed-before")) + cache.ttl_dict[first_miss_key] = time.time() - 1 + started = time.time() + + await recover_key_metadata_from_spend_logs(mock_prisma, {unknown}, window, cache=cache) + + assert query_raw.await_count == 2 + assert cache.ttl_dict[first_miss_key] - started >= SPEND_LOG_KEY_METADATA_CACHE_TTL - 1 + + +@pytest.mark.asyncio +async def test_recover_key_metadata_from_spend_logs_keeps_the_owner_older_rows_agree_on_when_the_newest_is_nameless(): + digest = hash_token("cli-session-owner-from-older-rows") + window = (datetime(2026, 9, 7), datetime(2026, 9, 10)) + mock_prisma = MagicMock() + _spend_log_transaction(mock_prisma, _query_raw_spend_logs([_spend_log_row(digest, None, "team-x", "alice")])) + + result = await recover_key_metadata_from_spend_logs(mock_prisma, {digest}, window, cache=InMemoryCache()) + + assert result[digest] == {"key_alias": None, "team_id": "team-x", "user_id": "alice"} + + +@pytest.mark.asyncio +async def test_recover_key_metadata_from_spend_logs_names_nothing_for_a_field_whose_rows_disagree(): + digest = hash_token("cli-session-disagreeing-rows") + window = (datetime(2026, 9, 7), datetime(2026, 9, 10)) + mock_prisma = MagicMock() + _spend_log_transaction( + mock_prisma, + _query_raw_spend_logs( + [ + { + **_spend_log_row(digest, None, None, "carol"), + "first_alias": "old-alias", + "last_alias": "renamed-alias", + "first_team": "team-a", + "last_team": "team-b", + } + ] + ), + ) + + result = await recover_key_metadata_from_spend_logs(mock_prisma, {digest}, window, cache=InMemoryCache()) + + assert result[digest] == {"key_alias": None, "team_id": None, "user_id": "carol"} + + +@pytest.mark.asyncio +async def test_recover_key_metadata_from_spend_logs_bounds_the_scan_with_a_statement_timeout(): + digest = hash_token("cli-session-bounded-scan") + window = (datetime(2026, 9, 7), datetime(2026, 9, 10)) + mock_prisma = MagicMock() + calls: list[str] = [] + transaction = MagicMock() + transaction.execute_raw = AsyncMock(side_effect=lambda sql: calls.append(sql) or 0) + transaction.query_raw = AsyncMock(side_effect=lambda sql, *args: calls.append("scan") or []) + mock_prisma.db.tx.return_value.__aenter__.return_value = transaction + + await recover_key_metadata_from_spend_logs(mock_prisma, {digest}, window, cache=InMemoryCache()) + + assert calls == [f"SET LOCAL statement_timeout = {SPEND_LOG_KEY_METADATA_QUERY_TIMEOUT_MS}", "scan"] + assert mock_prisma.db.tx.call_args.kwargs["timeout"] == timedelta( + milliseconds=2 * SPEND_LOG_KEY_METADATA_QUERY_TIMEOUT_MS + ) diff --git a/tests/test_litellm/proxy/test_budget_reservation.py b/tests/test_litellm/proxy/test_budget_reservation.py index 6dab054d8ea..40ebc03781c 100644 --- a/tests/test_litellm/proxy/test_budget_reservation.py +++ b/tests/test_litellm/proxy/test_budget_reservation.py @@ -2220,6 +2220,15 @@ class _ExpiringRedisCache: async def async_delete_cache(self, key: str, *args: object, **kwargs: object) -> None: self.store.pop(key, None) + async def async_increment_pipeline(self, increment_list, **kwargs): + results = [] + for op in increment_list: + results.append(await self.async_increment(op["key"], op["increment_value"])) + return results + + def get_ttl(self, **kwargs) -> None: + return None + @pytest.mark.asyncio async def test_reconcile_after_redis_counter_expiry_keeps_request_cost_enforced( diff --git a/tests/test_litellm/proxy/test_common_request_processing.py b/tests/test_litellm/proxy/test_common_request_processing.py index bfae42f64f1..be666607823 100644 --- a/tests/test_litellm/proxy/test_common_request_processing.py +++ b/tests/test_litellm/proxy/test_common_request_processing.py @@ -2202,6 +2202,19 @@ class TestGuardrailBlockErrorPayloadNeverStringifiesNone: assert frame["error"]["param"] is None assert frame["error"]["code"] == "400" + def test_a_streaming_frame_keeps_the_status_a_proxy_exception_was_raised_with(self): + """ProxyException stores its status as the string ``code``, so a 429 raised before the + first chunk used to reach the SSE frame as a 500.""" + from litellm.proxy._types import ProxyException + from litellm.proxy.common_request_processing import sse_error_payload + + error_status, error_obj = sse_error_payload( + ProxyException(message="Rate limit reached", type="rate_limit_error", param=None, code=429) + ) + + assert error_status == 429 + assert (error_obj["type"], error_obj["code"]) == ("rate_limit_error", "429") + @pytest.mark.parametrize( "status_code, expected_type", [ diff --git a/tests/test_litellm/proxy/test_proxy_cli.py b/tests/test_litellm/proxy/test_proxy_cli.py index 0c20d5e0ff0..c76ff189a8a 100644 --- a/tests/test_litellm/proxy/test_proxy_cli.py +++ b/tests/test_litellm/proxy/test_proxy_cli.py @@ -1525,7 +1525,12 @@ class TestProxyInitializationHelpers: def capture_run(self): captured["options"] = dict(self.options) - with patch("gunicorn.app.base.BaseApplication.run", capture_run): + with ( + patch("gunicorn.app.base.BaseApplication.run", capture_run), + patch( # test-quality-ok: option tests must not start a thread or change the pytest worker's child ownership + "litellm.proxy.proxy_cli.start_query_engine_reaper" + ), + ): ProxyInitializationHelpers._run_gunicorn_server( host="127.0.0.1", port=4010, @@ -1553,6 +1558,9 @@ class TestProxyInitializationHelpers: with ( patch("gunicorn.app.base.BaseApplication.run", capture_run), patch("builtins.print") as mock_print, + patch( # test-quality-ok: option tests must not start a thread or change the pytest worker's child ownership + "litellm.proxy.proxy_cli.start_query_engine_reaper" + ), ): ProxyInitializationHelpers._run_gunicorn_server( host="127.0.0.1", diff --git a/tests/test_litellm/proxy/test_proxy_server.py b/tests/test_litellm/proxy/test_proxy_server.py index 54579e6cb7c..b0f38978727 100644 --- a/tests/test_litellm/proxy/test_proxy_server.py +++ b/tests/test_litellm/proxy/test_proxy_server.py @@ -7749,7 +7749,7 @@ async def test_increment_spend_counters_team_and_member(): @pytest.mark.asyncio -async def test_init_and_increment_spend_counter_reseeds_from_db_on_counter_miss(): +async def test_prepare_spend_counter_increment_reseeds_from_db_on_counter_miss(): """When the Redis counter is missing, the reseed path reads the authoritative spend from the DB (not a stale cache), so the next increment continues from the correct base value.""" @@ -7762,8 +7762,17 @@ async def test_init_and_increment_spend_counter_reseeds_from_db_on_counter_miss( recorded_increments.append({"key": key, "value": value, "ttl": ttl}) return value + async def record_pipeline(increment_list, **kwargs): + results = [] + for op in increment_list: + await record_increment(key=op["key"], value=op["increment_value"], ttl=op["ttl"]) + results.append(op["increment_value"]) + return results + fake_redis = AsyncMock() fake_redis.async_increment = AsyncMock(side_effect=record_increment) + fake_redis.async_increment_pipeline = AsyncMock(side_effect=record_pipeline) + fake_redis.get_ttl = MagicMock(return_value=None) fake_redis.async_get_cache = AsyncMock(return_value=None) # counter missing fake_redis.async_set_cache = AsyncMock(return_value=True) # SET NX wins counter_cache.redis_cache = fake_redis @@ -7782,7 +7791,10 @@ async def test_init_and_increment_spend_counter_reseeds_from_db_on_counter_miss( stale_cache.in_memory_cache.set_cache(key="team_id:team-9", value=stale_team) import litellm.proxy.proxy_server as ps - from litellm.proxy.proxy_server import _init_and_increment_spend_counter + from litellm.proxy.proxy_server import ( + _apply_spend_counter_increments, + _prepare_spend_counter_increment, + ) orig_user, orig_counter, orig_prisma = ( ps.user_api_key_cache, @@ -7793,11 +7805,12 @@ async def test_init_and_increment_spend_counter_reseeds_from_db_on_counter_miss( ps.spend_counter_cache = counter_cache ps.prisma_client = fake_prisma try: - await _init_and_increment_spend_counter( + pending = await _prepare_spend_counter_increment( counter_key="spend:team:team-9", source_cache_key="team_id:team-9", increment=1.5, ) + await _apply_spend_counter_increments(pending=(pending,)) fake_prisma.db.litellm_teamtable.find_unique.assert_awaited_once_with(where={"team_id": "team-9"}) # Seed uses SET NX with db_spend (42) — cross-pod safe, no INCR of 42. @@ -7976,7 +7989,10 @@ async def test_reseed_spend_from_db_skips_window_variant_keys(): @pytest.mark.asyncio async def test_window_spend_counter_reseeds_from_spend_logs_on_counter_miss(): from litellm.caching.dual_cache import DualCache - from litellm.proxy.proxy_server import _init_and_increment_window_spend_counter + from litellm.proxy.proxy_server import ( + _apply_spend_counter_increments, + _prepare_window_spend_counter_increment, + ) counter_cache = DualCache() window_start = datetime.now(timezone.utc) - timedelta(hours=1) @@ -7992,7 +8008,7 @@ async def test_window_spend_counter_reseeds_from_spend_logs_on_counter_miss(): ps.spend_counter_cache = counter_cache ps.prisma_client = fake_prisma try: - await _init_and_increment_window_spend_counter( + pending = await _prepare_window_spend_counter_increment( counter_key="spend:key:key-window:window:1h", entity_type="Key", entity_id="key-window", @@ -8000,6 +8016,7 @@ async def test_window_spend_counter_reseeds_from_spend_logs_on_counter_miss(): window_start=window_start, increment=0.5, ) + await _apply_spend_counter_increments(pending=(pending,) if pending is not None else ()) fake_prisma.db.litellm_spendlogs.group_by.assert_awaited_once_with( by=["api_key"], @@ -8015,7 +8032,10 @@ async def test_window_spend_counter_reseeds_from_spend_logs_on_counter_miss(): @pytest.mark.asyncio async def test_init_spend_counter_redis_clean_miss_skips_stale_in_memory(): from litellm.caching.dual_cache import DualCache - from litellm.proxy.proxy_server import _init_and_increment_spend_counter + from litellm.proxy.proxy_server import ( + _apply_spend_counter_increments, + _prepare_spend_counter_increment, + ) counter_cache = DualCache() counter_key = "spend:team:team-stale-local" @@ -8037,6 +8057,15 @@ async def test_init_spend_counter_redis_clean_miss_skips_stale_in_memory(): fake_redis.async_get_cache = AsyncMock(return_value=None) fake_redis.async_increment = AsyncMock(side_effect=redis_increment) fake_redis.async_set_cache = AsyncMock(side_effect=redis_set_cache) + + async def redis_increment_pipeline(increment_list, **_): + results = [] + for op in increment_list: + results.append(await redis_increment(key=op["key"], value=op["increment_value"])) + return results + + fake_redis.async_increment_pipeline = AsyncMock(side_effect=redis_increment_pipeline) + fake_redis.get_ttl = MagicMock(return_value=None) counter_cache.redis_cache = fake_redis db_row = MagicMock() @@ -8055,11 +8084,12 @@ async def test_init_spend_counter_redis_clean_miss_skips_stale_in_memory(): ps.prisma_client = fake_prisma ps.user_api_key_cache = DualCache() try: - await _init_and_increment_spend_counter( + pending = await _prepare_spend_counter_increment( counter_key=counter_key, source_cache_key="team_id:team-stale-local", increment=1.5, ) + await _apply_spend_counter_increments(pending=(pending,)) fake_prisma.db.litellm_teamtable.find_unique.assert_awaited_once_with(where={"team_id": "team-stale-local"}) # Seed via SET NX (42) + delta via INCRBYFLOAT (1.5) = 43.5. @@ -8074,7 +8104,10 @@ async def test_init_spend_counter_redis_clean_miss_skips_stale_in_memory(): @pytest.mark.asyncio async def test_window_spend_counter_redis_clean_miss_skips_stale_in_memory(): from litellm.caching.dual_cache import DualCache - from litellm.proxy.proxy_server import _init_and_increment_window_spend_counter + from litellm.proxy.proxy_server import ( + _apply_spend_counter_increments, + _prepare_window_spend_counter_increment, + ) counter_cache = DualCache() counter_key = "spend:key:key-window-stale-local:window:1h" @@ -8097,6 +8130,15 @@ async def test_window_spend_counter_redis_clean_miss_skips_stale_in_memory(): fake_redis.async_get_cache = AsyncMock(return_value=None) fake_redis.async_set_cache = AsyncMock(side_effect=redis_set_cache) fake_redis.async_increment = AsyncMock(side_effect=redis_increment) + + async def redis_increment_pipeline(increment_list, **_): + results = [] + for op in increment_list: + results.append(await redis_increment(key=op["key"], value=op["increment_value"])) + return results + + fake_redis.async_increment_pipeline = AsyncMock(side_effect=redis_increment_pipeline) + fake_redis.get_ttl = MagicMock(return_value=None) counter_cache.redis_cache = fake_redis fake_prisma = MagicMock() @@ -8111,7 +8153,7 @@ async def test_window_spend_counter_redis_clean_miss_skips_stale_in_memory(): ps.spend_counter_cache = counter_cache ps.prisma_client = fake_prisma try: - await _init_and_increment_window_spend_counter( + pending = await _prepare_window_spend_counter_increment( counter_key=counter_key, entity_type="Key", entity_id="key-window-stale-local", @@ -8119,6 +8161,7 @@ async def test_window_spend_counter_redis_clean_miss_skips_stale_in_memory(): window_start=window_start, increment=0.5, ) + await _apply_spend_counter_increments(pending=(pending,) if pending is not None else ()) fake_prisma.db.litellm_spendlogs.group_by.assert_awaited_once_with( by=["api_key"], @@ -8138,7 +8181,10 @@ async def test_window_spend_counter_redis_clean_miss_skips_stale_in_memory(): @pytest.mark.asyncio async def test_window_spend_counter_redis_concurrent_seed_does_not_double_seed(): from litellm.caching.dual_cache import DualCache - from litellm.proxy.proxy_server import _init_and_increment_window_spend_counter + from litellm.proxy.proxy_server import ( + _apply_spend_counter_increments, + _prepare_window_spend_counter_increment, + ) counter_cache = DualCache() counter_key = "spend:key:key-window-concurrent-seed:window:1h" @@ -8161,6 +8207,15 @@ async def test_window_spend_counter_redis_concurrent_seed_does_not_double_seed() fake_redis.async_get_cache = AsyncMock(side_effect=redis_get_cache) fake_redis.async_set_cache = AsyncMock(return_value=False) fake_redis.async_increment = AsyncMock(side_effect=redis_increment) + + async def redis_increment_pipeline(increment_list, **_): + results = [] + for op in increment_list: + results.append(await redis_increment(key=op["key"], value=op["increment_value"])) + return results + + fake_redis.async_increment_pipeline = AsyncMock(side_effect=redis_increment_pipeline) + fake_redis.get_ttl = MagicMock(return_value=None) counter_cache.redis_cache = fake_redis fake_prisma = MagicMock() @@ -8175,7 +8230,7 @@ async def test_window_spend_counter_redis_concurrent_seed_does_not_double_seed() ps.spend_counter_cache = counter_cache ps.prisma_client = fake_prisma try: - await _init_and_increment_window_spend_counter( + pending = await _prepare_window_spend_counter_increment( counter_key=counter_key, entity_type="Key", entity_id="key-window-concurrent-seed", @@ -8183,6 +8238,7 @@ async def test_window_spend_counter_redis_concurrent_seed_does_not_double_seed() window_start=window_start, increment=0.5, ) + await _apply_spend_counter_increments(pending=(pending,) if pending is not None else ()) fake_redis.async_set_cache.assert_awaited_once_with( key=counter_key, @@ -8199,7 +8255,7 @@ async def test_window_spend_counter_redis_concurrent_seed_does_not_double_seed() @pytest.mark.asyncio async def test_window_spend_counter_skips_invalid_window_start(): from litellm.caching.dual_cache import DualCache - from litellm.proxy.proxy_server import _init_and_increment_window_spend_counter + from litellm.proxy.proxy_server import _prepare_window_spend_counter_increment counter_cache = DualCache() @@ -8208,7 +8264,7 @@ async def test_window_spend_counter_skips_invalid_window_start(): orig_counter = ps.spend_counter_cache ps.spend_counter_cache = counter_cache try: - await _init_and_increment_window_spend_counter( + pending = await _prepare_window_spend_counter_increment( counter_key="spend:key:key-invalid-window:window:not-a-duration", entity_type="Key", entity_id="key-invalid-window", @@ -8216,6 +8272,7 @@ async def test_window_spend_counter_skips_invalid_window_start(): window_start=None, increment=0.5, ) + assert pending is None assert counter_cache.in_memory_cache.get_cache(key="spend:key:key-invalid-window:window:not-a-duration") is None finally: @@ -8279,6 +8336,9 @@ async def test_increment_spend_counters_finalizes_after_unreserved_increments(): async def assert_reservation_not_finalized_yet(**kwargs): assert budget_reservation["finalized"] is False incremented_counters.append(kwargs["counter_key"]) + return ps._PendingSpendIncrement( + counter_key=kwargs["counter_key"], increment=kwargs["increment"] + ) import litellm.proxy.proxy_server as ps @@ -8287,7 +8347,7 @@ async def test_increment_spend_counters_finalizes_after_unreserved_increments(): ps.user_api_key_cache = DualCache() try: with patch( - "litellm.proxy.proxy_server._init_and_increment_spend_counter", + "litellm.proxy.proxy_server._prepare_spend_counter_increment", new=AsyncMock(side_effect=assert_reservation_not_finalized_yet), ): await increment_spend_counters( @@ -8620,7 +8680,7 @@ async def test_get_current_spend_uses_db_zero_over_stale_fallback(): async def test_concurrent_read_and_write_paths_share_one_db_query(): """ The read path (`get_current_spend`) and the write path - (`_init_and_increment_spend_counter`) both reseed cold counters from + (`_prepare_spend_counter_increment`) both reseed cold counters from the DB. They must share the per-counter lock so a concurrent pre-call enforcement read and post-call increment for the same counter collapse to one DB query, not two. @@ -8629,7 +8689,7 @@ async def test_concurrent_read_and_write_paths_share_one_db_query(): from litellm.caching.dual_cache import DualCache from litellm.proxy.proxy_server import ( - _init_and_increment_spend_counter, + _prepare_spend_counter_increment, get_current_spend, ) @@ -8683,7 +8743,7 @@ async def test_concurrent_read_and_write_paths_share_one_db_query(): try: results = await _asyncio.gather( get_current_spend(counter_key=counter_key, fallback_spend=0.0), - _init_and_increment_spend_counter( + _prepare_spend_counter_increment( counter_key=counter_key, source_cache_key="ignored", increment=1.5, diff --git a/tests/test_litellm/proxy/utils/helpers/test_error_helpers.py b/tests/test_litellm/proxy/utils/helpers/test_error_helpers.py index e73e3c151e0..dc30798df55 100644 --- a/tests/test_litellm/proxy/utils/helpers/test_error_helpers.py +++ b/tests/test_litellm/proxy/utils/helpers/test_error_helpers.py @@ -135,7 +135,7 @@ def test_handle_exception_on_proxy_happy_path_generic_exception_defaults_to_500( "message": "kaboom", "type": ProxyErrorTypes.internal_server_error.value, "code": "500", - "param": "None", + "param": None, } diff --git a/tests/test_litellm/proxy/utils/prisma_and_spend/test_spend_functions.py b/tests/test_litellm/proxy/utils/prisma_and_spend/test_spend_functions.py index a1eb88a7834..c8b87bd671e 100644 --- a/tests/test_litellm/proxy/utils/prisma_and_spend/test_spend_functions.py +++ b/tests/test_litellm/proxy/utils/prisma_and_spend/test_spend_functions.py @@ -538,10 +538,9 @@ async def test_monitor_spend_logs_queue_flushes_as_soon_as_one_is_requested( """ import litellm.constants as constants_mod import litellm.proxy.utils as utils_mod - from litellm.proxy.utils import PrismaClient, request_spend_log_flush + from litellm.proxy.utils import request_spend_log_flush monkeypatch.setattr(constants_mod, "SPEND_LOG_QUEUE_POLL_INTERVAL", 30.0, raising=False) - PrismaClient.spend_log_flush_requested.clear() mock_prisma_client.spend_log_transactions = [] mock_prisma_client.tool_usage_transactions = [] @@ -562,16 +561,107 @@ async def test_monitor_spend_logs_queue_flushes_as_soon_as_one_is_requested( try: await asyncio.sleep(0.05) assert not flushed.is_set() + assert isinstance(mock_prisma_client.spend_log_flush_requested, asyncio.Event) mock_prisma_client.spend_log_transactions.append(make_spend_log_row(request_id="r1")) - request_spend_log_flush() + request_spend_log_flush(mock_prisma_client) await asyncio.wait_for(flushed.wait(), timeout=5.0) finally: monitor.cancel() with suppress(asyncio.CancelledError): await monitor - PrismaClient.spend_log_flush_requested.clear() + + +def test_monitor_spend_logs_queue_flush_survives_an_earlier_event_loop( + mock_prisma_client: Any, + make_spend_log_row: Any, + monkeypatch: pytest.MonkeyPatch, +) -> None: + """A second monitor, started in a fresh event loop, is still woken by a flush request, + so a worker whose first loop is gone keeps flushing Responses rows instead of stalling. + """ + import litellm.constants as constants_mod + import litellm.proxy.utils as utils_mod + from litellm.proxy.utils import request_spend_log_flush + + monkeypatch.setattr(constants_mod, "SPEND_LOG_QUEUE_POLL_INTERVAL", 30.0, raising=False) + mock_prisma_client.tool_usage_transactions = [] + + async def _flush_once_under_a_monitor() -> None: + flushed: Final = asyncio.Event() + + async def _fake_job(*args: Any, **kwargs: Any) -> None: + flushed.set() + + monkeypatch.setattr(utils_mod, "update_spend_logs_job", _fake_job) + mock_prisma_client.spend_log_transactions = [] + + monitor: Final = asyncio.create_task( + _monitor_spend_logs_queue( + prisma_client=mock_prisma_client, + db_writer_client=None, + proxy_logging_obj=MagicMock(), + ) + ) + try: + await asyncio.sleep(0.05) + assert not flushed.is_set() + + mock_prisma_client.spend_log_transactions.append(make_spend_log_row(request_id="r1")) + request_spend_log_flush(mock_prisma_client) + + await asyncio.wait_for(flushed.wait(), timeout=5.0) + finally: + monitor.cancel() + with suppress(asyncio.CancelledError): + await monitor + + asyncio.run(_flush_once_under_a_monitor()) + asyncio.run(_flush_once_under_a_monitor()) + + +@pytest.mark.asyncio +async def test_flush_requested_before_the_monitor_starts_costs_the_row_nothing( + mock_prisma_client: Any, + make_spend_log_row: Any, + monkeypatch: pytest.MonkeyPatch, +) -> None: + """A Responses row enqueued before the monitor exists still reaches the DB on its first + pass, so dropping that early request delays nothing. + """ + import litellm.constants as constants_mod + import litellm.proxy.utils as utils_mod + from litellm.proxy.utils import request_spend_log_flush + + monkeypatch.setattr(constants_mod, "SPEND_LOG_QUEUE_POLL_INTERVAL", 30.0, raising=False) + mock_prisma_client.spend_log_flush_requested = None + mock_prisma_client.tool_usage_transactions = [] + mock_prisma_client.spend_log_transactions = [make_spend_log_row(request_id="r1")] + + flushed: Final = asyncio.Event() + + async def _fake_job(*args: Any, **kwargs: Any) -> None: + flushed.set() + + monkeypatch.setattr(utils_mod, "update_spend_logs_job", _fake_job) + + request_spend_log_flush(mock_prisma_client) + assert mock_prisma_client.spend_log_flush_requested is None + + monitor: Final = asyncio.create_task( + _monitor_spend_logs_queue( + prisma_client=mock_prisma_client, + db_writer_client=None, + proxy_logging_obj=MagicMock(), + ) + ) + try: + await asyncio.wait_for(flushed.wait(), timeout=5.0) + finally: + monitor.cancel() + with suppress(asyncio.CancelledError): + await monitor def test_raise_failed_update_spend_exception_emits_failure_handler() -> None: diff --git a/tests/test_litellm/router_strategy/test_complexity_router.py b/tests/test_litellm/router_strategy/test_complexity_router.py index 565e77b0ae0..9f925499f1a 100644 --- a/tests/test_litellm/router_strategy/test_complexity_router.py +++ b/tests/test_litellm/router_strategy/test_complexity_router.py @@ -50,6 +50,7 @@ from litellm.router_strategy.complexity_router.config import ( DEFAULT_CLASSIFIER_CONTEXT_WINDOW_SIZE, DEFAULT_COMPLEXITY_CONFIG, DEFAULT_TECHNICAL_KEYWORDS, + TIER_SEVERITY_ORDER, ClassificationRubric, ClassifierLLMConfig, ComplexityRouterConfig, @@ -11132,7 +11133,7 @@ async def test_tier_model_params_reach_the_hook_response_and_override_client_val async def test_tier_params_mask_credentials_in_routing_decision(route, mock_router_instance): params = {"reasoning_effort": "xhigh", "api_key": "secret-tier-key"} config = { - "tiers": {tier.value: {"model_name": "opus", "litellm_params": params} for tier in ComplexityTier}, + "tiers": {tier.value: {"model_name": "opus", "litellm_params": params} for tier in TIER_SEVERITY_ORDER}, "keyword_tier_rules": [{"keywords": ["reason carefully"], "tier": "REASONING"}] if route == "keyword" else None, "session_affinity": route == "session", } @@ -13660,3 +13661,181 @@ class _OutputCeilingRecorder(CustomLogger): def log_pre_api_call(self, model, messages, kwargs): self.seen.append((model, kwargs.get("optional_params", {}).get("max_tokens"))) + +NON_REASONING_TIERS: Final = { + "NON_REASONING": "gpt-4o-mini", + "SIMPLE": "gpt-4o-mini", + "MEDIUM": "gpt-4o", + "COMPLEX": "claude-sonnet-4-20250514", + "REASONING": "o1-preview", +} + + +class TestNonReasoningTier: + """The opt-in fifth built-in tier below SIMPLE: inert unless enabled, reachable when it is.""" + + @staticmethod + def _router(mock_router_instance, **overrides) -> ComplexityRouter: + config: Final = { + "tiers": dict(NON_REASONING_TIERS), + "enable_non_reasoning_tier": True, + "classifier_type": "llm", + "classifier_llm_config": {"model": "haiku-classifier"}, + **overrides, + } + return ComplexityRouter( + model_name="test-non-reasoning-router", + litellm_router_instance=mock_router_instance, + complexity_router_config=config, + ) + + def test_ladder_gains_a_rung_below_simple_only_when_enabled(self): + """Tier 0 sits at the bottom; anywhere else and escalation and the baseline shift.""" + enabled: Final = ComplexityRouterConfig( + tiers=dict(NON_REASONING_TIERS), + enable_non_reasoning_tier=True, + classifier_type="llm", + classifier_llm_config={"model": "clf"}, + ) + assert enabled.tier_names() == ("NON_REASONING", "SIMPLE", "MEDIUM", "COMPLEX", "REASONING") + assert ComplexityRouterConfig().tier_names() == ("SIMPLE", "MEDIUM", "COMPLEX", "REASONING") + + def test_default_router_is_unchanged_by_the_tier_existing(self): + """The enum grew a member, and nothing a four-tier router sends or resolves may change.""" + default: Final = ComplexityRouterConfig() + assert default.enable_non_reasoning_tier is False + assert "NON_REASONING" not in DEFAULT_COMPLEXITY_CONFIG.tiers + assert default.classifier_wire_labels() == ("SIMPLE", "MEDIUM", "COMPLEX", "REASONING") + assert default.labeled_tiers() == TIER_SEVERITY_ORDER_LABELED + assert default.resolve_classified_tier("NON_REASONING") is None + + @pytest.mark.parametrize("preset", tuple(ClassificationRubric)) + def test_rubric_gains_the_bullet_only_when_enabled(self, preset): + """An unset toggle leaves every shipped rubric byte-identical; an enabled one adds a bullet.""" + enabled: Final = ComplexityRouterConfig( + tiers=dict(NON_REASONING_TIERS), + enable_non_reasoning_tier=True, + classifier_type="llm", + classifier_llm_config={"model": "clf"}, + ) + on: Final = classification_system_prompt(3, None, enabled.labeled_tiers(), preset) + off: Final = classification_system_prompt(3, None, ComplexityRouterConfig().labeled_tiers(), preset) + assert "- NON_REASONING:" in on + assert "- NON_REASONING" not in off + + def test_enabled_router_puts_the_tier_on_the_classifier_wire(self, mock_router_instance): + """The schema enum bounds what the classifier may return, whatever the rubric says.""" + router: Final = self._router(mock_router_instance) + enum: Final = router._classifier_response_format["json_schema"]["schema"]["properties"]["tier"]["enum"] + assert enum == ["NON_REASONING", "SIMPLE", "MEDIUM", "COMPLEX", "REASONING"] + + @pytest.mark.asyncio + async def test_classifier_verdict_routes_to_the_tier_model(self, mock_router_instance): + """The classifier names the tier and the request lands on that tier's model.""" + mock_router_instance.acompletion = AsyncMock(return_value=_llm_response('{"tier": "NON_REASONING"}')) + router: Final = self._router( + mock_router_instance, tiers={**NON_REASONING_TIERS, "NON_REASONING": "cheap-relay"} + ) + response = await router.async_pre_routing_hook( + model="test-non-reasoning-router", + request_kwargs={}, + messages=[{"role": "user", "content": "here is the file, pass it along"}], + ) + assert response.model == "cheap-relay" + assert response.routing_decision["tier"] == "NON_REASONING" + assert response.routing_decision["cause"] == "llm_classifier" + + @pytest.mark.asyncio + async def test_a_four_tier_router_ignores_a_non_reasoning_verdict( + self, llm_complexity_router, mock_router_instance + ): + """Naming the tier at a router that never opted in falls back instead of routing there.""" + mock_router_instance.acompletion = AsyncMock(return_value=_llm_response('{"tier": "NON_REASONING"}')) + outcome = await llm_complexity_router.aclassify("relay this") + assert outcome.tier != ComplexityTier.NON_REASONING + assert outcome.cause != "llm_classifier" + + def test_escalation_walks_up_off_the_tier(self, mock_router_instance): + """Escalation is a built-in-ladder feature and the issue asks for it from the new tier.""" + router: Final = self._router(mock_router_instance) + assert router._escalate_tier(ComplexityTier.NON_REASONING) == ComplexityTier.SIMPLE + assert router._escalate_tier(ComplexityTier.REASONING) == ComplexityTier.REASONING + + def test_escalation_skips_the_tier_when_unconfigured(self, mock_router_instance): + """SIMPLE still escalates to MEDIUM, so escalation never routes below the caller's model.""" + router: Final = self._router( + mock_router_instance, + tiers={"NON_REASONING": "cheap-relay", "SIMPLE": "gpt-4o-mini", "MEDIUM": "gpt-4o"}, + ) + assert router._escalate_tier(ComplexityTier.SIMPLE) == ComplexityTier.MEDIUM + + def test_tier_zero_is_never_the_savings_baseline(self, mock_router_instance): + """Savings use the hardest configured tier; tier 0 winning would invert every figure.""" + assert self._router(mock_router_instance)._hardest_tier_models() == ("o1-preview",) + cheap_only: Final = self._router( + mock_router_instance, tiers={"NON_REASONING": "cheap-relay", "SIMPLE": "gpt-4o-mini"} + ) + assert cheap_only._hardest_tier_models() == ("gpt-4o-mini",) + + def test_the_tier_gets_its_own_display_label(self, mock_router_instance): + """tier_labels covers the built-in tiers, so the new rung must be renameable like the rest.""" + router: Final = self._router(mock_router_instance, tier_labels={"NON_REASONING": "Relay"}) + assert router.config.classifier_wire_labels()[0] == "Relay" + assert router.config.resolve_classified_tier("relay") == ComplexityTier.NON_REASONING + + @pytest.mark.parametrize( + "overrides, expected", + ( + ({"classifier_type": "heuristic", "classifier_llm_config": None}, "requires classifier_type"), + ({"classifier_type": "heuristic_v2", "classifier_llm_config": None}, "requires classifier_type"), + ({"tiers": {"SIMPLE": "a", "MEDIUM": "b"}}, "at least one model"), + ), + ids=["heuristic", "heuristic_v2", "no_model"], + ) + def test_unreachable_or_unroutable_configs_are_rejected(self, overrides, expected): + """Refused where it could do nothing: no scorer emits the tier, no pool routes it.""" + config: Final = { + "tiers": dict(NON_REASONING_TIERS), + "enable_non_reasoning_tier": True, + "classifier_type": "llm", + "classifier_llm_config": {"model": "clf"}, + **overrides, + } + with pytest.raises(ValidationError, match=expected): + ComplexityRouterConfig.model_validate(config) + + def test_the_tier_cannot_be_configured_without_the_toggle(self): + """Silently ignoring the key would leave an operator paying for a pool nothing routes to.""" + with pytest.raises(ValidationError, match="no request can route there"): + ComplexityRouterConfig(tiers={"NON_REASONING": "cheap", "SIMPLE": "a"}) + + def test_the_toggle_is_refused_alongside_a_custom_tier_set(self): + """A custom tier set replaces the built-in ladder, so both at once has no meaning.""" + with pytest.raises(ValidationError, match="cannot be combined with tier_definitions"): + ComplexityRouterConfig( + enable_non_reasoning_tier=True, + classifier_type="llm", + classifier_llm_config={"model": "clf"}, + tier_definitions=({"name": "lo", "description": "d"}, {"name": "hi", "description": "d"}), + tiers={"lo": "a", "hi": "b"}, + fallback_tier="lo", + ) + + def test_heuristic_v2_predictions_never_reach_the_new_tier(self, mock_router_instance): + """The four-class artifact's 1-based index must keep mapping onto SIMPLE..REASONING.""" + router: Final = ComplexityRouter( + model_name="v2-router", + litellm_router_instance=mock_router_instance, + complexity_router_config={ + "tiers": {k: v for k, v in NON_REASONING_TIERS.items() if k != "NON_REASONING"}, + "classifier_type": "heuristic_v2", + }, + ) + outcome = router._classify_with_heuristic_v2("implement a distributed rate limiter under concurrency") + assert outcome.tier in TIER_SEVERITY_ORDER + assert tuple(signal.split(":")[1].split("=")[0] for signal in outcome.signals[1:]) == ( + "simple", + "medium", + "complex", + "reasoning", + ) diff --git a/tests/test_litellm/router_strategy/test_lowest_latency.py b/tests/test_litellm/router_strategy/test_lowest_latency.py index 812d7bbff32..1a8614e3fca 100644 --- a/tests/test_litellm/router_strategy/test_lowest_latency.py +++ b/tests/test_litellm/router_strategy/test_lowest_latency.py @@ -8,11 +8,12 @@ import json from datetime import datetime, timedelta import pytest - +from pydantic import ValidationError import litellm from litellm.caching.caching import DualCache -from litellm.router_strategy.lowest_latency import LowestLatencyLoggingHandler +from litellm.router import Router +from litellm.router_strategy.lowest_latency import LowestLatencyLoggingHandler, RoutingArgs DEPLOYMENT_ID = "9876" KWARGS = { @@ -58,9 +59,9 @@ def test_sync_embedding_latency_is_json_serializable(): latencies = _recorded_latencies(cache) assert latencies, "expected a latency entry to be recorded" - assert all( - not isinstance(value, timedelta) for value in latencies - ), f"raw timedelta leaked into latency list: {latencies}" + assert all(not isinstance(value, timedelta) for value in latencies), ( + f"raw timedelta leaked into latency list: {latencies}" + ) assert latencies[-1] == pytest.approx(2.0) # the exact failure mode from production: redis cache sync json.dumps json.dumps({"latency": latencies}) @@ -84,9 +85,9 @@ async def test_async_embedding_latency_is_json_serializable(): latencies = _recorded_latencies(cache) assert latencies, "expected a latency entry to be recorded" - assert all( - not isinstance(value, timedelta) for value in latencies - ), f"raw timedelta leaked into latency list: {latencies}" + assert all(not isinstance(value, timedelta) for value in latencies), ( + f"raw timedelta leaked into latency list: {latencies}" + ) assert latencies[-1] == pytest.approx(3.0) json.dumps({"latency": latencies}) @@ -292,6 +293,85 @@ async def test_streaming_routing_ignores_per_token_ttft_samples_from_older_worke assert picked["model_info"]["id"] == FAST_TTFT_ID +@pytest.mark.asyncio +@pytest.mark.parametrize("sync_mode", [True, False], ids=["sync", "async"]) +@pytest.mark.parametrize( + ("ttft_percentile", "first_samples", "second_samples", "expected_id"), + [ + (None, [0.1, 0.1, 1.0], [0.3, 0.3, 0.3], SLOW_TTFT_ID), + (0.5, [0.1, 0.1, 1.0], [0.3, 0.3, 0.3], FAST_TTFT_ID), + (0.9, [0.1, 0.1, 0.1, 0.1, 1.5], [0.3, 0.3, 0.3, 0.3, 0.3], SLOW_TTFT_ID), + ], + ids=["default_average", "p50", "p90"], +) +async def test_streaming_ttft_ranking_percentile( + sync_mode: bool, + ttft_percentile: float | None, + first_samples: list[float], + second_samples: list[float], + expected_id: str, +): + cache = DualCache() + routing_args = {} if ttft_percentile is None else {"ttft_percentile": ttft_percentile} + handler = LowestLatencyLoggingHandler(router_cache=cache, routing_args=routing_args) + cache.set_cache( + key=f"{MODEL_GROUP}_map", + value={ + FAST_TTFT_ID: {"time_to_first_token_seconds": first_samples}, + SLOW_TTFT_ID: {"time_to_first_token_seconds": second_samples}, + }, + ) + + if sync_mode: + picked = handler.get_available_deployments( + model_group=MODEL_GROUP, + healthy_deployments=STREAMING_DEPLOYMENTS, + request_kwargs={"stream": True, "metadata": {}}, + ) + else: + picked = await handler.async_get_available_deployments( + model_group=MODEL_GROUP, + healthy_deployments=STREAMING_DEPLOYMENTS, + request_kwargs={"stream": True, "metadata": {}}, + ) + + assert picked is not None + assert picked["model_info"]["id"] == expected_id + + +@pytest.mark.parametrize("ttft_percentile", [0, -0.1, 1.1]) +def test_ttft_percentile_validation(ttft_percentile: float): + with pytest.raises(ValidationError): + RoutingArgs(ttft_percentile=ttft_percentile) + + +@pytest.mark.parametrize("ttft_percentile", [0.5, 0.9, 0.95, 1.0]) +def test_ttft_percentile_accepts_valid_values(ttft_percentile: float): + assert RoutingArgs(ttft_percentile=ttft_percentile).ttft_percentile == ttft_percentile + + +@pytest.mark.asyncio +async def test_ttft_percentile_does_not_change_non_streaming_routing(): + cache = DualCache() + handler = LowestLatencyLoggingHandler(router_cache=cache, routing_args={"ttft_percentile": 0.9}) + cache.set_cache( + key=f"{MODEL_GROUP}_map", + value={ + FAST_TTFT_ID: {"latency": [1.0], "time_to_first_token_seconds": [0.1]}, + SLOW_TTFT_ID: {"latency": [0.2], "time_to_first_token_seconds": [1.5]}, + }, + ) + + picked = await handler.async_get_available_deployments( + model_group=MODEL_GROUP, + healthy_deployments=STREAMING_DEPLOYMENTS, + request_kwargs={"stream": False, "metadata": {}}, + ) + + assert picked is not None + assert picked["model_info"]["id"] == SLOW_TTFT_ID + + @pytest.mark.asyncio @pytest.mark.parametrize( "cached_entry", @@ -318,3 +398,81 @@ async def test_async_get_available_deployments_treats_missing_samples_as_zero_la assert picked is not None assert picked["model_info"]["id"] == DEPLOYMENT_ID + + +def _latency_router(routing_strategy_args: dict) -> Router: + return Router( + model_list=[ + { + "model_name": MODEL_GROUP, + "litellm_params": {"model": f"openai/{MODEL_GROUP}", "api_key": "sk-fake"}, + "model_info": {"id": deployment_id}, + } + for deployment_id in (FAST_TTFT_ID, SLOW_TTFT_ID) + ], + routing_strategy="latency-based-routing", + routing_strategy_args=routing_strategy_args, + ) + + +def _seed_streaming_ttft(router: Router) -> None: + router.cache.set_cache( + key=f"{MODEL_GROUP}_map", + value={ + FAST_TTFT_ID: {"time_to_first_token_seconds": [0.1, 0.1, 1.0]}, + SLOW_TTFT_ID: {"time_to_first_token_seconds": [0.3, 0.3, 0.3]}, + }, + ) + + +async def _pick_streaming(router: Router) -> str: + picked = await router.async_get_available_deployment( + model=MODEL_GROUP, + request_kwargs={"stream": True, "metadata": {}}, + ) + return picked["model_info"]["id"] + + +@pytest.mark.asyncio +async def test_runtime_routing_strategy_args_update_applies_ttft_percentile(): + """A config reload that adds ttft_percentile must reach the live selector, + not sit unused until the proxy restarts.""" + router = _latency_router({"max_latency_list_size": 50}) + _seed_streaming_ttft(router) + + assert await _pick_streaming(router) == SLOW_TTFT_ID + + router.update_settings(routing_strategy_args={"max_latency_list_size": 50, "ttft_percentile": 0.5}) + + assert await _pick_streaming(router) == FAST_TTFT_ID + + +@pytest.mark.asyncio +async def test_runtime_routing_strategy_args_update_keeps_previous_args_when_invalid(): + router = _latency_router({"ttft_percentile": 0.5}) + _seed_streaming_ttft(router) + + router.update_settings(routing_strategy_args={"ttft_percentile": 5}) + + assert await _pick_streaming(router) == FAST_TTFT_ID + + +@pytest.mark.asyncio +async def test_runtime_routing_strategy_args_update_is_a_noop_without_a_selector(): + """simple-shuffle has no selector to re-link, so an args update must leave + the router alone instead of blowing up on a missing selector attribute.""" + router = Router( + model_list=[ + { + "model_name": MODEL_GROUP, + "litellm_params": {"model": f"openai/{MODEL_GROUP}", "api_key": "sk-fake"}, + "model_info": {"id": FAST_TTFT_ID}, + } + ], + routing_strategy="simple-shuffle", + ) + + router.update_settings(routing_strategy_args={"ttl": 5}) + + assert router.routing_strategy_args == {"ttl": 5} + assert await _pick_streaming(router) == FAST_TTFT_ID diff --git a/tests/test_litellm/router_utils/pre_call_checks/test_encrypted_content_affinity_check.py b/tests/test_litellm/router_utils/pre_call_checks/test_encrypted_content_affinity_check.py index dac991a41c4..3961c8d74c2 100644 --- a/tests/test_litellm/router_utils/pre_call_checks/test_encrypted_content_affinity_check.py +++ b/tests/test_litellm/router_utils/pre_call_checks/test_encrypted_content_affinity_check.py @@ -16,12 +16,10 @@ The mechanism works without any cache and supports two encoding strategies: """ import time -from typing import List, Optional from unittest.mock import AsyncMock, patch import pytest - import litellm from litellm.responses.utils import ResponsesAPIRequestUtils from litellm.types.llms.openai import ResponsesAPIResponse @@ -68,9 +66,7 @@ class TestEncryptedItemIdCodec: def test_roundtrip(self): model_id = "deployment-1" original_item_id = "rs_abc123def456" - encoded = ResponsesAPIRequestUtils._build_encrypted_item_id( - model_id, original_item_id - ) + encoded = ResponsesAPIRequestUtils._build_encrypted_item_id(model_id, original_item_id) assert encoded.startswith("encitem_") decoded = ResponsesAPIRequestUtils._decode_encrypted_item_id(encoded) assert decoded is not None @@ -81,9 +77,7 @@ class TestEncryptedItemIdCodec: """Decoding must succeed even if base64 padding (=) was stripped in transit.""" model_id = "gpt-5.1-codex-openai-2" original_item_id = "rs_0efb96cb222403210069a01d5d52588196a9dc394ffdb89d00" - encoded = ResponsesAPIRequestUtils._build_encrypted_item_id( - model_id, original_item_id - ) + encoded = ResponsesAPIRequestUtils._build_encrypted_item_id(model_id, original_item_id) # Strip any trailing '=' to simulate what happens in transit stripped = encoded.rstrip("=") decoded = ResponsesAPIRequestUtils._decode_encrypted_item_id(stripped) @@ -100,9 +94,7 @@ class TestEncryptedItemIdCodec: """item_id values containing ';' must survive the roundtrip.""" model_id = "deployment-1" original_item_id = "rs_part1;part2;part3" - encoded = ResponsesAPIRequestUtils._build_encrypted_item_id( - model_id, original_item_id - ) + encoded = ResponsesAPIRequestUtils._build_encrypted_item_id(model_id, original_item_id) decoded = ResponsesAPIRequestUtils._decode_encrypted_item_id(encoded) assert decoded is not None assert decoded["item_id"] == original_item_id @@ -118,11 +110,7 @@ class TestUpdateEncryptedContentItemIds: {"id": "rs_xyz", "type": "reasoning", "encrypted_content": "secret"}, ], } - result = ( - ResponsesAPIRequestUtils._update_encrypted_content_item_ids_in_response( - response, model_id - ) - ) + result = ResponsesAPIRequestUtils._update_encrypted_content_item_ids_in_response(response, model_id) # Plain message item untouched assert result["output"][0]["id"] == "msg_abc" # Reasoning item with encrypted_content gets encoded @@ -133,16 +121,8 @@ class TestUpdateEncryptedContentItemIds: assert decoded["item_id"] == "rs_xyz" def test_no_op_when_model_id_is_none(self): - response = { - "output": [ - {"id": "rs_xyz", "type": "reasoning", "encrypted_content": "secret"} - ] - } - result = ( - ResponsesAPIRequestUtils._update_encrypted_content_item_ids_in_response( - response, None - ) - ) + response = {"output": [{"id": "rs_xyz", "type": "reasoning", "encrypted_content": "secret"}]} + result = ResponsesAPIRequestUtils._update_encrypted_content_item_ids_in_response(response, None) assert result["output"][0]["id"] == "rs_xyz" @@ -151,9 +131,7 @@ class TestEncryptedContentWrapping: """Test wrapping encrypted_content with model_id metadata.""" model_id = "deployment-1" original_content = "gAAAAABpnW_yEYmSNEyOG_original_encrypted_data" - wrapped = ResponsesAPIRequestUtils._wrap_encrypted_content_with_model_id( - original_content, model_id - ) + wrapped = ResponsesAPIRequestUtils._wrap_encrypted_content_with_model_id(original_content, model_id) assert wrapped.startswith("litellm_enc:") assert wrapped != original_content @@ -170,9 +148,7 @@ class TestEncryptedContentWrapping: ( model_id, content, - ) = ResponsesAPIRequestUtils._unwrap_encrypted_content_with_model_id( - plain_content - ) + ) = ResponsesAPIRequestUtils._unwrap_encrypted_content_with_model_id(plain_content) assert model_id is None assert content == plain_content @@ -189,11 +165,7 @@ class TestEncryptedContentWrapping: }, ], } - result = ( - ResponsesAPIRequestUtils._update_encrypted_content_item_ids_in_response( - response, model_id - ) - ) + result = ResponsesAPIRequestUtils._update_encrypted_content_item_ids_in_response(response, model_id) assert result["output"][0].get("encrypted_content") is None wrapped = result["output"][1]["encrypted_content"] assert wrapped.startswith("litellm_enc:") @@ -210,19 +182,13 @@ class TestRestoreEncryptedContentItemIds: def test_restores_encoded_ids(self): model_id = "deployment-1" original_id = "rs_encrypted_item_456" - encoded_id = ResponsesAPIRequestUtils._build_encrypted_item_id( - model_id, original_id - ) + encoded_id = ResponsesAPIRequestUtils._build_encrypted_item_id(model_id, original_id) request_input = [ {"type": "message", "id": "msg_abc123", "role": "assistant"}, {"type": "reasoning", "id": encoded_id, "encrypted_content": "secret"}, ] - restored = ( - ResponsesAPIRequestUtils._restore_encrypted_content_item_ids_in_input( - request_input - ) - ) + restored = ResponsesAPIRequestUtils._restore_encrypted_content_item_ids_in_input(request_input) assert restored[0]["id"] == "msg_abc123" assert restored[1]["id"] == original_id @@ -230,33 +196,21 @@ class TestRestoreEncryptedContentItemIds: """Test that wrapped encrypted_content is unwrapped before forwarding.""" model_id = "deployment-1" original_content = "gAAAAABpnW_yEYmSNEyOG_original" - wrapped_content = ( - ResponsesAPIRequestUtils._wrap_encrypted_content_with_model_id( - original_content, model_id - ) - ) + wrapped_content = ResponsesAPIRequestUtils._wrap_encrypted_content_with_model_id(original_content, model_id) request_input = [ {"type": "reasoning", "encrypted_content": wrapped_content}, ] - restored = ( - ResponsesAPIRequestUtils._restore_encrypted_content_item_ids_in_input( - request_input - ) - ) + restored = ResponsesAPIRequestUtils._restore_encrypted_content_item_ids_in_input(request_input) assert restored[0]["encrypted_content"] == original_content def test_no_op_for_plain_string_input(self): - result = ResponsesAPIRequestUtils._restore_encrypted_content_item_ids_in_input( - "Hello world" - ) + result = ResponsesAPIRequestUtils._restore_encrypted_content_item_ids_in_input("Hello world") assert result == "Hello world" def test_no_op_for_unencoded_ids(self): request_input = [{"type": "message", "id": "msg_plain"}] - result = ResponsesAPIRequestUtils._restore_encrypted_content_item_ids_in_input( - request_input - ) + result = ResponsesAPIRequestUtils._restore_encrypted_content_item_ids_in_input(request_input) assert result[0]["id"] == "msg_plain" @@ -283,9 +237,7 @@ async def test_encrypted_content_affinity_tracks_and_routes(): "id": "msg_abc123", "status": "completed", "role": "assistant", - "content": [ - {"type": "output_text", "text": "Hello!", "annotations": []} - ], + "content": [{"type": "output_text", "text": "Hello!", "annotations": []}], }, { "type": "reasoning", @@ -347,9 +299,9 @@ async def test_encrypted_content_affinity_tracks_and_routes(): # The response must have rewritten the encrypted item's ID to encoded form encoded_item_id = _extract_encoded_item_id(first_response) - assert encoded_item_id.startswith( - "encitem_" - ), f"Expected output item ID to be rewritten to encitem_... but got {encoded_item_id!r}" + assert encoded_item_id.startswith("encitem_"), ( + f"Expected output item ID to be rewritten to encitem_... but got {encoded_item_id!r}" + ) # Verify the encoded ID decodes back to the correct deployment + original ID decoded = ResponsesAPIRequestUtils._decode_encrypted_item_id(encoded_item_id) @@ -371,9 +323,9 @@ async def test_encrypted_content_affinity_tracks_and_routes(): ) second_model_id = second_response._hidden_params["model_id"] - assert ( - second_model_id == first_model_id - ), f"Expected affinity to route to {first_model_id}, but got {second_model_id}" + assert second_model_id == first_model_id, ( + f"Expected affinity to route to {first_model_id}, but got {second_model_id}" + ) @pytest.mark.asyncio @@ -478,9 +430,7 @@ async def test_encrypted_content_affinity_bypasses_rpm_limits(): # Extract encoded item ID from the first response output encoded_item_id = _extract_encoded_item_id(first_response) - assert encoded_item_id.startswith( - "encitem_" - ), f"Expected encitem_... but got {encoded_item_id!r}" + assert encoded_item_id.startswith("encitem_"), f"Expected encitem_... but got {encoded_item_id!r}" # Follow-up with the encoded item ID — should pin to same deployment second_response = await router.aresponses( @@ -628,17 +578,13 @@ async def test_encrypted_content_affinity_with_wrapped_content_no_id(): if hasattr(first_item, "encrypted_content") else first_item.get("encrypted_content") ) - assert wrapped_content.startswith( - "litellm_enc:" - ), f"Expected wrapped content but got {wrapped_content[:50]}..." + assert wrapped_content.startswith("litellm_enc:"), f"Expected wrapped content but got {wrapped_content[:50]}..." # Verify we can extract model_id from wrapped content ( extracted_model_id, _, - ) = ResponsesAPIRequestUtils._unwrap_encrypted_content_with_model_id( - wrapped_content - ) + ) = ResponsesAPIRequestUtils._unwrap_encrypted_content_with_model_id(wrapped_content) assert extracted_model_id == first_model_id # Second request: use wrapped encrypted_content WITHOUT an ID (Codex behavior) @@ -653,9 +599,9 @@ async def test_encrypted_content_affinity_with_wrapped_content_no_id(): ) second_model_id = second_response._hidden_params["model_id"] - assert ( - second_model_id == first_model_id - ), f"Expected affinity to route to {first_model_id}, but got {second_model_id}" + assert second_model_id == first_model_id, ( + f"Expected affinity to route to {first_model_id}, but got {second_model_id}" + ) def test_encrypted_content_wrapping_preserves_original_content(): @@ -664,13 +610,9 @@ def test_encrypted_content_wrapping_preserves_original_content(): This is critical for streaming responses where content must round-trip correctly. """ model_id = "test-deployment-1" - original_encrypted_content = ( - "gAAAAABpnW_yEYmSNEyOG_streaming_test_content_with_special_chars==+/" - ) + original_encrypted_content = "gAAAAABpnW_yEYmSNEyOG_streaming_test_content_with_special_chars==+/" - wrapped = ResponsesAPIRequestUtils._wrap_encrypted_content_with_model_id( - original_encrypted_content, model_id - ) + wrapped = ResponsesAPIRequestUtils._wrap_encrypted_content_with_model_id(original_encrypted_content, model_id) assert wrapped.startswith("litellm_enc:") assert wrapped != original_encrypted_content @@ -691,9 +633,7 @@ def test_encrypted_content_wrapping_with_multiple_semicolons(): model_id = "deployment-with-semicolons" original_content = "gAAAAAB;some;content;with;semicolons" - wrapped = ResponsesAPIRequestUtils._wrap_encrypted_content_with_model_id( - original_content, model_id - ) + wrapped = ResponsesAPIRequestUtils._wrap_encrypted_content_with_model_id(original_content, model_id) ( extracted_model_id, @@ -764,9 +704,7 @@ async def test_encrypted_content_affinity_preserves_litellm_metadata_for_respons request_kwargs=request_kwargs, ) - assert ( - request_kwargs["litellm_metadata"]["encrypted_content_affinity_enabled"] is True - ) + assert request_kwargs["litellm_metadata"]["encrypted_content_affinity_enabled"] is True assert request_kwargs["litellm_metadata"]["model_info"] == {"id": "dep-1"} @@ -777,9 +715,7 @@ def test_encrypted_content_wrapping_empty_string(): model_id = "test-deployment" original_content = "" - wrapped = ResponsesAPIRequestUtils._wrap_encrypted_content_with_model_id( - original_content, model_id - ) + wrapped = ResponsesAPIRequestUtils._wrap_encrypted_content_with_model_id(original_content, model_id) assert wrapped.startswith("litellm_enc:") @@ -1132,9 +1068,7 @@ def test_boundary_key_accepts_pydantic_litellm_params_instance(): "api_key": "fake-azure-resource-key-a", } - pydantic_key = EncryptedContentAffinityCheck._encryption_boundary_key( - pydantic_params - ) + pydantic_key = EncryptedContentAffinityCheck._encryption_boundary_key(pydantic_params) plain_key = EncryptedContentAffinityCheck._encryption_boundary_key(plain_params) assert pydantic_key is not None @@ -1161,18 +1095,8 @@ def test_boundary_key_rejects_non_dict_like_inputs(): for bad in (None, [], "not a dict", 42, object()): assert EncryptedContentAffinityCheck._encryption_boundary_key(bad) is None - assert ( - EncryptedContentAffinityCheck._encryption_boundary_key( - {"api_base": "", "api_key": "k"} - ) - is None - ) - assert ( - EncryptedContentAffinityCheck._encryption_boundary_key( - {"api_base": "https://x"} - ) - is None - ) + assert EncryptedContentAffinityCheck._encryption_boundary_key({"api_base": "", "api_key": "k"}) is None + assert EncryptedContentAffinityCheck._encryption_boundary_key({"api_base": "https://x"}) is None # --------------------------------------------------------------------------- @@ -1180,10 +1104,11 @@ def test_boundary_key_rejects_non_dict_like_inputs(): # --------------------------------------------------------------------------- -def _make_originating_mock(api_base: str, api_key: str): +def _make_originating_mock(api_base: str, api_key: str, model_name: str = "gpt-5.4"): from unittest.mock import MagicMock originating = MagicMock() + originating.model_name = model_name originating.litellm_params.model_dump.return_value = { "api_base": api_base, "api_key": api_key, @@ -1192,19 +1117,23 @@ def _make_originating_mock(api_base: str, api_key: str): def _make_router_mock_with_cooldown( - originating, cooldown_entries: Optional[List[tuple]] = None + originating, + cooldown_entries: list[tuple] | None = None, + routed_group_model_ids: list[str] | None = None, ): """ Build a MagicMock router whose ``cooldown_cache.async_get_active_cooldowns`` - returns ``cooldown_entries`` (defaulting to ``[]`` — no active cooldown). + returns ``cooldown_entries`` (defaulting to ``[]`` — no active cooldown), and + whose ``get_candidate_model_ids_for_route`` returns ``routed_group_model_ids`` + (the deployment ids the router resolves for the routed model; defaulting to ``[]`` + — origin absent from the routed group, i.e. a tier change). """ from unittest.mock import AsyncMock, MagicMock mock_router = MagicMock() mock_router.get_deployment.return_value = originating - mock_router.cooldown_cache.async_get_active_cooldowns = AsyncMock( - return_value=list(cooldown_entries or []) - ) + mock_router.cooldown_cache.async_get_active_cooldowns = AsyncMock(return_value=list(cooldown_entries or [])) + mock_router.get_candidate_model_ids_for_route.return_value = frozenset(routed_group_model_ids or []) return mock_router @@ -1235,15 +1164,15 @@ async def test_affinity_raises_service_unavailable_when_origin_cooled_for_non_42 }, ) ], + routed_group_model_ids=["deployment-a-cooled", "deployment-b"], ) check = EncryptedContentAffinityCheck(router=mock_router) - encoded_id = ResponsesAPIRequestUtils._build_encrypted_item_id( - "deployment-a-cooled", "rs_test" - ) + encoded_id = ResponsesAPIRequestUtils._build_encrypted_item_id("deployment-a-cooled", "rs_test") healthy_only_b = [ { "model_info": {"id": "deployment-b"}, + "model_name": "gpt-5.4", "litellm_params": { "api_base": "https://account-b.openai.azure.com/", "api_key": "key-b", @@ -1297,15 +1226,15 @@ async def test_affinity_raises_rate_limit_with_retry_after_when_origin_cooled_fo }, ) ], + routed_group_model_ids=["deployment-a-cooled-429", "deployment-b"], ) check = EncryptedContentAffinityCheck(router=mock_router) - encoded_id = ResponsesAPIRequestUtils._build_encrypted_item_id( - "deployment-a-cooled-429", "rs_test" - ) + encoded_id = ResponsesAPIRequestUtils._build_encrypted_item_id("deployment-a-cooled-429", "rs_test") healthy_only_b = [ { "model_info": {"id": "deployment-b"}, + "model_name": "gpt-5.4", "litellm_params": { "api_base": "https://account-b.openai.azure.com/", "api_key": "key-b", @@ -1345,15 +1274,16 @@ async def test_affinity_raises_service_unavailable_when_origin_filtered_without_ ) originating = _make_originating_mock("https://account-a.openai.azure.com/", "key-a") - mock_router = _make_router_mock_with_cooldown(originating, cooldown_entries=[]) + mock_router = _make_router_mock_with_cooldown( + originating, cooldown_entries=[], routed_group_model_ids=["deployment-a-filtered", "deployment-b"] + ) check = EncryptedContentAffinityCheck(router=mock_router) - encoded_id = ResponsesAPIRequestUtils._build_encrypted_item_id( - "deployment-a-filtered", "rs_test" - ) + encoded_id = ResponsesAPIRequestUtils._build_encrypted_item_id("deployment-a-filtered", "rs_test") healthy_only_b = [ { "model_info": {"id": "deployment-b"}, + "model_name": "gpt-5.4", "litellm_params": { "api_base": "https://account-b.openai.azure.com/", "api_key": "key-b", @@ -1377,15 +1307,18 @@ async def test_affinity_raises_service_unavailable_when_origin_filtered_without_ @pytest.mark.asyncio -async def test_affinity_raises_bad_request_when_origin_removed(): +async def test_affinity_strips_and_dispatches_when_origin_is_unknown_or_removed(): """ - Originating deployment was removed from the router config and no boundary - peer is available. This is permanent (the stale encrypted_content cannot - be honored), so surface a 400 with actionable text. + A removed deployment, or a forged/unknown affinity marker, resolves to no + originating deployment. It is handled like a cross-group origin: the encrypted + reasoning is stripped and the request dispatches with its readable history, + rather than returning a distinguishable error. That uniform handling denies an + authenticated caller a deployment-id existence oracle, an existing cross-group id + and a nonexistent id both strip and proceed, so responses cannot be told apart. + The membership lookup is skipped entirely when the origin is unknown. """ from unittest.mock import MagicMock - from litellm.exceptions import BadRequestError from litellm.router_utils.pre_call_checks.encrypted_content_affinity_check import ( EncryptedContentAffinityCheck, ) @@ -1394,12 +1327,11 @@ async def test_affinity_raises_bad_request_when_origin_removed(): mock_router.get_deployment.return_value = None check = EncryptedContentAffinityCheck(router=mock_router) - encoded_id = ResponsesAPIRequestUtils._build_encrypted_item_id( - "deployment-removed", "rs_test" - ) - healthy_only_b = [ + wrapped = ResponsesAPIRequestUtils._wrap_encrypted_content_with_model_id("gAAAAA-blob", "deployment-removed") + routed_pool = [ { "model_info": {"id": "deployment-b"}, + "model_name": "gpt-5.4", "litellm_params": { "api_base": "https://account-b.openai.azure.com/", "api_key": "key-b", @@ -1408,18 +1340,28 @@ async def test_affinity_raises_bad_request_when_origin_removed(): } ] request_kwargs = { - "input": [{"id": encoded_id, "type": "reasoning"}], + "litellm_metadata": {}, + "input": [ + {"role": "user", "content": "why is the sky blue?"}, + { + "type": "reasoning", + "encrypted_content": wrapped, + "summary": [{"type": "summary_text", "text": "scattering"}], + }, + {"role": "user", "content": "and sunsets?"}, + ], } - with pytest.raises(BadRequestError) as excinfo: - await check.async_filter_deployments( - model="gpt-5.4", - healthy_deployments=healthy_only_b, - messages=None, - request_kwargs=request_kwargs, - ) + result = await check.async_filter_deployments( + model="gpt-5.4", + healthy_deployments=routed_pool, + messages=None, + request_kwargs=request_kwargs, + ) - assert "deployment-removed" not in str(excinfo.value) + assert result is routed_pool + assert not any(isinstance(item, dict) and item.get("encrypted_content") for item in request_kwargs["input"]) + mock_router.get_candidate_model_ids_for_route.assert_not_called() @pytest.mark.asyncio @@ -1444,9 +1386,7 @@ async def test_affinity_does_not_raise_when_boundary_peer_available(): mock_router.get_deployment.return_value = originating check = EncryptedContentAffinityCheck(router=mock_router) - encoded_id = ResponsesAPIRequestUtils._build_encrypted_item_id( - "deployment-a", "rs_test" - ) + encoded_id = ResponsesAPIRequestUtils._build_encrypted_item_id("deployment-a", "rs_test") peer = { "model_info": {"id": "deployment-a-peer"}, "litellm_params": { @@ -1490,9 +1430,7 @@ async def test_model_group_affinity_config_enables_encrypted_content_affinity(): }, target_deployment, ] - encoded_id = ResponsesAPIRequestUtils._build_encrypted_item_id( - "deployment-b", "rs_test" - ) + encoded_id = ResponsesAPIRequestUtils._build_encrypted_item_id("deployment-b", "rs_test") request_kwargs = { "input": [{"type": "reasoning", "id": encoded_id}], "litellm_metadata": {}, @@ -1536,9 +1474,7 @@ async def test_model_group_affinity_config_does_not_disable_global_encrypted_con }, target_deployment, ] - encoded_id = ResponsesAPIRequestUtils._build_encrypted_item_id( - "deployment-b", "rs_test" - ) + encoded_id = ResponsesAPIRequestUtils._build_encrypted_item_id("deployment-b", "rs_test") request_kwargs = { "input": [{"type": "reasoning", "id": encoded_id}], "litellm_metadata": {}, @@ -1600,15 +1536,9 @@ async def test_model_group_encrypted_content_affinity_overrides_global_deploymen try: callbacks = router.optional_callbacks or [] - deployment_callback = next( - cb for cb in callbacks if isinstance(cb, DeploymentAffinityCheck) - ) - encrypted_content_callback = next( - cb for cb in callbacks if isinstance(cb, EncryptedContentAffinityCheck) - ) - assert callbacks.index(encrypted_content_callback) < callbacks.index( - deployment_callback - ) + deployment_callback = next(cb for cb in callbacks if isinstance(cb, DeploymentAffinityCheck)) + encrypted_content_callback = next(cb for cb in callbacks if isinstance(cb, EncryptedContentAffinityCheck)) + assert callbacks.index(encrypted_content_callback) < callbacks.index(deployment_callback) assert encrypted_content_callback.enable_global_affinity is False cache_key = DeploymentAffinityCheck.get_affinity_cache_key( @@ -1620,9 +1550,7 @@ async def test_model_group_encrypted_content_affinity_overrides_global_deploymen value={"model_id": "deployment-a"}, ttl=60, ) - encoded_id = ResponsesAPIRequestUtils._build_encrypted_item_id( - "deployment-b", "rs_test" - ) + encoded_id = ResponsesAPIRequestUtils._build_encrypted_item_id("deployment-b", "rs_test") request_kwargs = { "input": [ { @@ -1643,16 +1571,301 @@ async def test_model_group_encrypted_content_affinity_overrides_global_deploymen ) assert after_deployment_affinity == [deployment_a, deployment_b] - after_encrypted_content_affinity = ( - await encrypted_content_callback.async_filter_deployments( - model=model_group, - healthy_deployments=after_deployment_affinity, - messages=None, - request_kwargs=request_kwargs, - ) + after_encrypted_content_affinity = await encrypted_content_callback.async_filter_deployments( + model=model_group, + healthy_deployments=after_deployment_affinity, + messages=None, + request_kwargs=request_kwargs, ) assert after_encrypted_content_affinity == [deployment_b] assert request_kwargs.get("_encrypted_content_affinity_pinned") is True finally: router.discard() + + +class TestStripEncryptedReasoningFromInput: + def test_keeps_summary_and_drops_encrypted_content_and_id(self): + wrapped = ResponsesAPIRequestUtils._wrap_encrypted_content_with_model_id("gAAAAA-blob", "deployment-a") + encoded_id = ResponsesAPIRequestUtils._build_encrypted_item_id("deployment-a", "rs_1") + request_input = [ + {"role": "user", "content": "first turn"}, + { + "type": "reasoning", + "id": encoded_id, + "encrypted_content": wrapped, + "summary": [{"type": "summary_text", "text": "thought about it"}], + }, + {"type": "reasoning", "id": encoded_id, "encrypted_content": wrapped}, + {"type": "reasoning", "encrypted_content": wrapped, "summary": []}, + {"type": "message", "id": "msg_1", "role": "assistant", "content": "hi"}, + {"role": "user", "content": "second turn"}, + ] + ResponsesAPIRequestUtils.strip_encrypted_reasoning_from_input(request_input) + assert request_input == [ + {"role": "user", "content": "first turn"}, + { + "type": "reasoning", + "summary": [{"type": "summary_text", "text": "thought about it"}], + }, + {"type": "message", "id": "msg_1", "role": "assistant", "content": "hi"}, + {"role": "user", "content": "second turn"}, + ] + + def test_keeps_string_form_summary_when_stripping(self): + wrapped = ResponsesAPIRequestUtils._wrap_encrypted_content_with_model_id("gAAAAA-blob", "deployment-a") + request_input = [ + {"type": "reasoning", "encrypted_content": wrapped, "summary": "plain string thought"}, + { + "type": "reasoning", + "encrypted_content": wrapped, + "content": [{"type": "output_text", "text": "in content"}], + }, + {"type": "reasoning", "encrypted_content": wrapped, "summary": "", "content": []}, + ] + ResponsesAPIRequestUtils.strip_encrypted_reasoning_from_input(request_input) + assert request_input == [ + {"type": "reasoning", "summary": "plain string thought"}, + {"type": "reasoning", "content": [{"type": "output_text", "text": "in content"}]}, + ] + + def test_leaves_input_untouched_when_no_encrypted_reasoning(self): + request_input = [ + {"role": "user", "content": "first turn"}, + {"type": "reasoning", "summary": [{"type": "summary_text", "text": "no blob here"}]}, + {"role": "user", "content": "second turn"}, + ] + before = [dict(item) for item in request_input] + ResponsesAPIRequestUtils.strip_encrypted_reasoning_from_input(request_input) + assert request_input == before + + +def _cross_group_request_kwargs(): + wrapped = ResponsesAPIRequestUtils._wrap_encrypted_content_with_model_id("gAAAAA-blob", "deployment-a") + return { + "litellm_metadata": {}, + "input": [ + {"role": "user", "content": "ZEBRA: why is the sky blue?"}, + { + "type": "reasoning", + "encrypted_content": wrapped, + "summary": [{"type": "summary_text", "text": "scattering"}], + }, + {"type": "message", "role": "assistant", "content": "Rayleigh scattering."}, + {"role": "user", "content": "KIWI: and sunsets?"}, + ], + } + + +@pytest.mark.asyncio +async def test_affinity_strips_encrypted_reasoning_when_routed_to_another_model_group(): + """ + An auto-router tier change (or a model switch with no boundary peer): the + routed pool holds no deployment of the origin's model group. The origin is + healthy, so a 503 would be wrong; the follow-up dispatches to the routed + pool with the origin's encrypted reasoning stripped and its summary kept. + """ + from litellm.router_utils.pre_call_checks.encrypted_content_affinity_check import ( + EncryptedContentAffinityCheck, + ) + + originating = _make_originating_mock(None, "key-a", model_name="gpt-reasoning-tier") + mock_router = _make_router_mock_with_cooldown( + originating, cooldown_entries=[], routed_group_model_ids=["deployment-b"] + ) + check = EncryptedContentAffinityCheck(router=mock_router) + routed_pool = [ + { + "model_info": {"id": "deployment-b"}, + "model_name": "gpt-simple-tier", + "litellm_params": { + "api_base": "https://gateway.example/v1", + "api_key": "key-b", + "model": "openai/gpt-5-nano", + }, + } + ] + request_kwargs = _cross_group_request_kwargs() + original_input = request_kwargs["input"] + + result = await check.async_filter_deployments( + model="gpt-simple-tier", + healthy_deployments=routed_pool, + messages=None, + request_kwargs=request_kwargs, + ) + + assert result is routed_pool + assert "_encrypted_content_affinity_pinned" not in request_kwargs + assert request_kwargs["litellm_metadata"]["encrypted_content_affinity_enabled"] is True + assert request_kwargs["input"] is original_input + assert [item.get("type") or item["role"] for item in original_input] == [ + "user", + "reasoning", + "message", + "user", + ] + assert original_input[1] == { + "type": "reasoning", + "summary": [{"type": "summary_text", "text": "scattering"}], + } + assert not any(isinstance(item, dict) and item.get("encrypted_content") for item in original_input) + + +@pytest.mark.asyncio +async def test_affinity_fails_fast_within_the_origins_own_group(): + """ + Negative class for the tier-change discriminator: the routed group IS the + origin's group (a same-group cooldown, not a tier change), so even with a + healthy non-origin sibling that cannot decrypt the content, the request + still fails fast and the encrypted reasoning is left intact rather than + stripped. Preserves the LIT-3051 cooldown contract. + """ + from litellm.exceptions import ServiceUnavailableError + from litellm.router_utils.pre_call_checks.encrypted_content_affinity_check import ( + EncryptedContentAffinityCheck, + ) + + originating = _make_originating_mock( + "https://account-a.openai.azure.com/", "key-a", model_name="gpt-reasoning-tier" + ) + mock_router = _make_router_mock_with_cooldown( + originating, cooldown_entries=[], routed_group_model_ids=["deployment-a", "deployment-a2"] + ) + check = EncryptedContentAffinityCheck(router=mock_router) + sibling_pool = [ + { + "model_info": {"id": "deployment-a2"}, + "model_name": "gpt-reasoning-tier", + "litellm_params": { + "api_base": "https://account-a2.openai.azure.com/", + "api_key": "key-a2", + "model": "azure/gpt-5.4", + }, + } + ] + request_kwargs = _cross_group_request_kwargs() + + with pytest.raises(ServiceUnavailableError): + await check.async_filter_deployments( + model="gpt-reasoning-tier", + healthy_deployments=sibling_pool, + messages=None, + request_kwargs=request_kwargs, + ) + + assert request_kwargs["input"][1].get("encrypted_content") + + +@pytest.mark.asyncio +async def test_affinity_does_not_strip_when_group_is_spelled_differently_but_same_by_id(): + """ + The discriminator must key on deployment-id membership, not on the model-group + name string. Here the origin's configured group is spelled ``openai/gpt-5.4-mini`` + while the routed group is the canonical ``gpt-5.4-mini``: same group, different + spelling. A name compare (``originating.model_name != model``) would read this as + a tier change and strip the reasoning it did not have to. Because the origin's id + is a member of the routed group, this is a same-group cooldown instead: the request + fails fast and the encrypted reasoning is left intact. + """ + from litellm.exceptions import ServiceUnavailableError + from litellm.router_utils.pre_call_checks.encrypted_content_affinity_check import ( + EncryptedContentAffinityCheck, + ) + + originating = _make_originating_mock(None, "key-a", model_name="openai/gpt-5.4-mini") + mock_router = _make_router_mock_with_cooldown( + originating, cooldown_entries=[], routed_group_model_ids=["deployment-mini-a", "deployment-mini-b"] + ) + check = EncryptedContentAffinityCheck(router=mock_router) + wrapped = ResponsesAPIRequestUtils._wrap_encrypted_content_with_model_id("gAAAAA-blob", "deployment-mini-a") + sibling_pool = [ + { + "model_info": {"id": "deployment-mini-b"}, + "model_name": "gpt-5.4-mini", + "litellm_params": { + "api_base": "https://gateway.example/v1", + "api_key": "key-b", + "model": "openai/gpt-5.4-mini", + }, + } + ] + request_kwargs = { + "litellm_metadata": {}, + "input": [ + {"role": "user", "content": "why is the sky blue?"}, + { + "type": "reasoning", + "encrypted_content": wrapped, + "summary": [{"type": "summary_text", "text": "scattering"}], + }, + {"role": "user", "content": "and sunsets?"}, + ], + } + + with pytest.raises(ServiceUnavailableError): + await check.async_filter_deployments( + model="gpt-5.4-mini", + healthy_deployments=sibling_pool, + messages=None, + request_kwargs=request_kwargs, + ) + + assert request_kwargs["input"][1].get("encrypted_content") + + +@pytest.mark.asyncio +async def test_affinity_honors_router_candidate_ids_for_team_and_pattern_routes(): + """ + The exact `model_name` index does not include team-public or pattern routes, so a + same-group cooldown reached only through one of those would be misread as a tier change + and stripped. The check asks the router for the candidate ids it resolves for the route + (`get_candidate_model_ids_for_route`), which covers those paths, rather than the bare + index. Here that set marks the origin as a candidate, so the request fails fast with its + reasoning intact, and the routed group and team are passed through to the router. + """ + from litellm.exceptions import ServiceUnavailableError + from litellm.router_utils.pre_call_checks.encrypted_content_affinity_check import ( + EncryptedContentAffinityCheck, + ) + + originating = _make_originating_mock(None, "key-a", model_name="model_name_teamA_uuid") + mock_router = _make_router_mock_with_cooldown( + originating, cooldown_entries=[], routed_group_model_ids=["deployment-team-a", "deployment-team-b"] + ) + check = EncryptedContentAffinityCheck(router=mock_router) + wrapped = ResponsesAPIRequestUtils._wrap_encrypted_content_with_model_id("gAAAAA-blob", "deployment-team-a") + sibling_pool = [ + { + "model_info": {"id": "deployment-team-b"}, + "model_name": "team-public-model", + "litellm_params": { + "api_base": "https://gateway.example/v1", + "api_key": "key-b", + "model": "openai/gpt-5.4-mini", + }, + } + ] + request_kwargs = { + "litellm_metadata": {"user_api_key_team_id": "teamA"}, + "input": [ + {"role": "user", "content": "why is the sky blue?"}, + { + "type": "reasoning", + "encrypted_content": wrapped, + "summary": [{"type": "summary_text", "text": "scattering"}], + }, + {"role": "user", "content": "and sunsets?"}, + ], + } + + with pytest.raises(ServiceUnavailableError): + await check.async_filter_deployments( + model="team-public-model", + healthy_deployments=sibling_pool, + messages=None, + request_kwargs=request_kwargs, + ) + + assert request_kwargs["input"][1].get("encrypted_content") + mock_router.get_candidate_model_ids_for_route.assert_called_once_with(model="team-public-model", team_id="teamA") diff --git a/tests/test_litellm/test_bedrock_marengo_embed_3_model_metadata.py b/tests/test_litellm/test_bedrock_marengo_embed_3_model_metadata.py new file mode 100644 index 00000000000..0bb99339435 --- /dev/null +++ b/tests/test_litellm/test_bedrock_marengo_embed_3_model_metadata.py @@ -0,0 +1,117 @@ +import json +from pathlib import Path + +import pytest + +import litellm +from litellm.constants import bedrock_embedding_models +from litellm.litellm_core_utils.get_llm_provider_logic import get_llm_provider +from litellm.types.utils import PromptTokensDetailsWrapper, Usage + +REPO_ROOT = Path(__file__).parents[2] +MAIN_PATH = REPO_ROOT / "model_prices_and_context_window.json" +BACKUP_PATH = REPO_ROOT / "litellm" / "model_prices_and_context_window_backup.json" + +BASE_MODEL = "twelvelabs.marengo-embed-3-0-v1:0" +PROFILE_MODELS = ("us.twelvelabs.marengo-embed-3-0-v1:0", "eu.twelvelabs.marengo-embed-3-0-v1:0") +ALL_MODELS = (BASE_MODEL, *PROFILE_MODELS) +MARENGO_2_7_MODELS = ( + "twelvelabs.marengo-embed-2-7-v1:0", + "us.twelvelabs.marengo-embed-2-7-v1:0", + "eu.twelvelabs.marengo-embed-2-7-v1:0", +) +PER_REQUEST_MODELS = (*ALL_MODELS, *MARENGO_2_7_MODELS) + +TEXT_REQUEST_COST = 7e-05 +IMAGE_REQUEST_COST = 0.0001 +VIDEO_COST_PER_SECOND = 0.0007 +AUDIO_COST_PER_SECOND = 0.00014 + + +def _load(path): + with open(path) as f: + return json.load(f) + + +@pytest.mark.parametrize("model", ALL_MODELS) +def test_marengo_embed_3_specs(model): + info = _load(MAIN_PATH).get(model) + assert info is not None, f"{model} missing from model_prices_and_context_window.json" + + assert info["litellm_provider"] == "bedrock" + assert info["mode"] == "embedding" + assert info["input_cost_per_query"] == TEXT_REQUEST_COST + assert info["output_cost_per_token"] == 0.0 + assert info["max_input_tokens"] == 500 + assert info["max_tokens"] == 500 + assert info["output_vector_size"] == 512 + assert info["supports_embedding_image_input"] is True + assert info["supports_image_input"] is True + assert "deprecation_date" not in info + + routed_model, provider, _, _ = get_llm_provider(model=f"bedrock/{model}") + assert routed_model == model + assert provider == "bedrock" + + +@pytest.mark.parametrize("model", PER_REQUEST_MODELS) +def test_marengo_prices_are_per_request_not_per_token(model): + info = _load(MAIN_PATH)[model] + assert "input_cost_per_token" not in info + assert info["input_cost_per_query"] == TEXT_REQUEST_COST + assert info["input_cost_per_image"] == IMAGE_REQUEST_COST + assert info["input_cost_per_video_per_second"] == VIDEO_COST_PER_SECOND + assert info["input_cost_per_audio_per_second"] == AUDIO_COST_PER_SECOND + + +@pytest.mark.parametrize("model", ALL_MODELS) +def test_marengo_embed_3_is_visible_to_callers(model, local_model_cost_map): + info = litellm.get_model_info(model=model, custom_llm_provider="bedrock") + assert info["mode"] == "embedding" + assert info["output_vector_size"] == 512 + assert info["max_input_tokens"] == 500 + + +@pytest.mark.parametrize("model", PER_REQUEST_MODELS) +@pytest.mark.parametrize( + "details,expected_cost", + [ + (PromptTokensDetailsWrapper(query_count=1), TEXT_REQUEST_COST), + (PromptTokensDetailsWrapper(image_count=1), IMAGE_REQUEST_COST), + (PromptTokensDetailsWrapper(query_count=1, image_count=1), TEXT_REQUEST_COST + IMAGE_REQUEST_COST), + (PromptTokensDetailsWrapper(query_count=1, image_count=2), TEXT_REQUEST_COST + 2 * IMAGE_REQUEST_COST), + (PromptTokensDetailsWrapper(video_length_seconds=10), 10 * VIDEO_COST_PER_SECOND), + (PromptTokensDetailsWrapper(audio_length_seconds=10), 10 * AUDIO_COST_PER_SECOND), + ], +) +def test_marengo_requests_are_billed_per_request(model, details, expected_cost, local_model_cost_map): + usage = Usage(prompt_tokens=0, completion_tokens=0, total_tokens=0, prompt_tokens_details=details) + prompt_cost, completion_cost = litellm.cost_per_token( + model=model, usage_object=usage, custom_llm_provider="bedrock" + ) + assert prompt_cost == pytest.approx(expected_cost) + assert completion_cost == 0.0 + + +@pytest.mark.parametrize("model", PER_REQUEST_MODELS) +def test_marengo_token_counts_bill_nothing(model, local_model_cost_map): + usage = Usage(prompt_tokens=128, completion_tokens=0, total_tokens=128) + prompt_cost, completion_cost = litellm.cost_per_token( + model=model, usage_object=usage, custom_llm_provider="bedrock" + ) + assert prompt_cost == 0.0 + assert completion_cost == 0.0 + + +def test_marengo_embed_3_is_a_known_bedrock_embedding_model(): + assert BASE_MODEL in bedrock_embedding_models + + +@pytest.mark.parametrize("model", PER_REQUEST_MODELS) +def test_backup_matches_main(model): + main_cost = _load(MAIN_PATH) + backup_cost = _load(BACKUP_PATH) + + assert model in main_cost, f"{model} missing from model_prices_and_context_window.json" + assert model in backup_cost, f"{model} missing from model_prices_and_context_window_backup.json" + assert backup_cost[model] == main_cost[model], f"{model} differs between main and backup model cost maps" diff --git a/tests/test_litellm/test_cost_calculator.py b/tests/test_litellm/test_cost_calculator.py index f8fa2231597..8f8a7640c08 100644 --- a/tests/test_litellm/test_cost_calculator.py +++ b/tests/test_litellm/test_cost_calculator.py @@ -3736,6 +3736,112 @@ def test_completion_cost_logs_reasoning_and_cache_breakdown(_local_model_cost_ma assert logging_obj.cost_breakdown["cache_read_cost"] == pytest.approx(100 * 3e-08) +def test_completion_cost_logs_the_rates_it_billed_at(monkeypatch): + """A caller reporting the cost lines beside their per-token rates reads both off this one call. + completion_cost infers the provider, and xai's inclusive tier thresholds put a request sitting + exactly on 200k at the tier rate, which a lookup made without that inferred provider would miss. + """ + from datetime import datetime + + from litellm.litellm_core_utils.litellm_logging import Logging + + monkeypatch.setitem( + litellm.model_cost, + "xai/tiered-model", + { + "input_cost_per_token": 3e-6, + "output_cost_per_token": 15e-6, + "cache_read_input_token_cost": 3e-7, + "input_cost_per_token_above_200k_tokens": 6e-6, + "output_cost_per_token_above_200k_tokens": 3e-5, + "cache_read_input_token_cost_above_200k_tokens": 6e-7, + "litellm_provider": "xai", + "mode": "chat", + }, + ) + logging_obj = Logging( + model="xai/tiered-model", + messages=[{"role": "user", "content": "Hello"}], + stream=False, + call_type="completion", + start_time=datetime.now(), + litellm_call_id="billed-rates", + function_id="f", + ) + usage = Usage( + prompt_tokens=200_000, + completion_tokens=1_000, + total_tokens=201_000, + prompt_tokens_details=PromptTokensDetailsWrapper(cached_tokens=100_000), + ) + + litellm.completion_cost( + completion_response=ModelResponse(model="xai/tiered-model", usage=usage), + model="xai/tiered-model", + custom_llm_provider=None, + litellm_logging_obj=logging_obj, + ) + + rates = logging_obj.billed_token_rates + assert rates is not None + assert rates.input_cost_per_token == pytest.approx(6e-6) + assert rates.cache_read_input_token_cost == pytest.approx(6e-7) + assert logging_obj.cost_breakdown["cache_read_cost"] == pytest.approx( + 100_000 * rates.cache_read_input_token_cost + ) + assert logging_obj.cost_breakdown["output_cost"] == pytest.approx(1_000 * rates.output_cost_per_token) + + +def test_completion_cost_logs_cache_and_reasoning_breakdown_for_custom_pricing(): + """ + A custom-priced deployment bills cache tokens at its custom cache rates, but the + breakdown stored for the spend logs carried no cache or reasoning lines for it. + """ + from datetime import datetime + + from litellm.litellm_core_utils.litellm_logging import Logging + from litellm.types.utils import CompletionTokensDetailsWrapper, CostPerToken + + logging_obj = Logging( + model="openai/onprem-model", + messages=[{"role": "user", "content": "Hello"}], + stream=False, + call_type="completion", + start_time=datetime.now(), + litellm_call_id="custom-pricing-breakdown", + function_id="f", + ) + response = ModelResponse( + model="openai/onprem-model", + usage=Usage( + prompt_tokens=1000, + completion_tokens=500, + total_tokens=1500, + prompt_tokens_details=PromptTokensDetailsWrapper(cached_tokens=800, cache_creation_tokens=100), + completion_tokens_details=CompletionTokensDetailsWrapper(reasoning_tokens=200), + ), + ) + + total = completion_cost( + completion_response=response, + model="openai/onprem-model", + custom_llm_provider="openai", + custom_cost_per_token=CostPerToken( + input_cost_per_token=1e-6, + output_cost_per_token=2e-6, + cache_read_input_token_cost=1e-7, + cache_creation_input_token_cost=1.25e-6, + ), + litellm_logging_obj=logging_obj, + ) + + assert logging_obj.cost_breakdown is not None + assert logging_obj.cost_breakdown["cache_read_cost"] == pytest.approx(800 * 1e-7) + assert logging_obj.cost_breakdown["cache_creation_cost"] == pytest.approx(100 * 1.25e-6) + assert logging_obj.cost_breakdown["reasoning_cost"] == pytest.approx(200 * 2e-6) + assert total == pytest.approx(100 * 1e-6 + 800 * 1e-7 + 100 * 1.25e-6 + 500 * 2e-6) + + def test_cost_per_token_per_second_pricing(monkeypatch): """ Models priced by duration (input/output_cost_per_second) with no per-token rates diff --git a/tests/test_litellm/test_router.py b/tests/test_litellm/test_router.py index 7bfde0def09..80da922724d 100644 --- a/tests/test_litellm/test_router.py +++ b/tests/test_litellm/test_router.py @@ -6,6 +6,7 @@ import logging import os import threading from datetime import datetime +from collections.abc import Awaitable, Callable, Mapping from types import SimpleNamespace from typing import Final from unittest.mock import AsyncMock, MagicMock, patch @@ -27,6 +28,7 @@ from litellm.llms.bedrock.common_utils import BedrockError from litellm.llms.anthropic.experimental_pass_through.messages.agentic_streaming_iterator import ( SERVER_FULFILLED_TOOL_LEAK_ERROR_SSE_BYTES, ) +from litellm.types.llms.openai import ChatCompletionRequest from litellm.router import ( MAX_BUFFERED_PRE_CONTENT_ANTHROPIC_CHUNKS, FallbackAwareAnthropicMessagesStream, @@ -13972,6 +13974,31 @@ def test_router_deployment_ids_to_skip_on_retry(status_code, failed_deployment_i assert litellm.Router._deployment_ids_to_skip_on_retry(exception, already_skipped) == expected +@pytest.mark.parametrize( + "kwargs,failed_deployment_id,expected", + [ + ({"model_info": {"id": "rejecting"}}, None, ("rejecting",)), + ({"model_info": {"id": "rejecting"}}, "cooldown-target", ("rejecting",)), + ({"model_info": {"id": ""}}, None, ()), + ({"model_info": {"id": 7}}, None, ()), + ({"model_info": "rejecting"}, None, ()), + ({}, None, ()), + ({}, "cooldown-target", ("cooldown-target",)), + ], +) +def test_router_retry_skip_stamp_feeds_deployment_ids_to_skip_on_retry( + kwargs: Mapping[str, object], failed_deployment_id: str | None, expected: tuple[str, ...] +): + exception = Exception("upstream refused this request") + exception.status_code = 400 + exception.failed_deployment_id = failed_deployment_id + + litellm.Router._stamp_retry_skip_deployment_id(exception, kwargs) + + assert litellm.Router._deployment_ids_to_skip_on_retry(exception, None) == expected + assert exception.failed_deployment_id == failed_deployment_id + + @pytest.mark.parametrize( "value,expected", [ @@ -14165,6 +14192,206 @@ async def test_router_retry_policy_400_never_returns_to_a_deployment_that_alread assert response.choices[0].message.content == "hi back" +_LIT_7114_CHAT_OK = { + "id": "chatcmpl-lit-7114", + "object": "chat.completion", + "created": 1, + "model": "gpt-5.6", + "choices": [{"index": 0, "message": {"role": "assistant", "content": "hi back"}, "finish_reason": "stop"}], + "usage": {"prompt_tokens": 1, "completion_tokens": 2, "total_tokens": 3}, +} +_LIT_7114_EMBEDDING_OK = { + "object": "list", + "data": [{"object": "embedding", "index": 0, "embedding": [0.1]}], + "model": "text-embedding-3-large", + "usage": {"prompt_tokens": 1, "total_tokens": 1}, +} +_LIT_7114_IMAGE_OK = {"created": 1, "data": [{"b64_json": "aGk="}]} +_LIT_7114_BATCH_OK = { + "id": "batch_lit_7114", + "object": "batch", + "endpoint": "/v1/chat/completions", + "input_file_id": "file-lit-7114", + "completion_window": "24h", + "status": "validating", + "created_at": 1, +} + + +class _PassthroughAdapter(CustomLogger): + def translate_completion_input_params(self, kwargs: ChatCompletionRequest) -> ChatCompletionRequest: + return ChatCompletionRequest(**kwargs) + + def translate_completion_output_params(self, response: litellm.ModelResponse) -> litellm.ModelResponse: + return response + + +def _lit_7114_router(litellm_model: str) -> litellm.Router: + api_base_suffix: Final = "" if litellm_model.startswith("cohere/") else "/v1" + return litellm.Router( + model_list=[ + { + "model_name": "gpt-5.6", + "litellm_params": { + "model": litellm_model, + "api_key": "sk-fake", + "api_base": f"https://{host}.local{api_base_suffix}", + "weight": weight, + }, + "model_info": {"id": host}, + } + for host, weight in (("rejecting", 1), ("accepting", 0)) + ], + num_retries=2, + retry_policy={"BadRequestErrorRetries": 2}, + disable_cooldowns=True, + ) + + +def _lit_7114_mock_upstreams( + respx_mock: respx.MockRouter, path: str, refusal_status: int, success_body: Mapping[str, object] | bytes +) -> tuple[respx.Route, respx.Route]: + ok_response: Final = ( + httpx.Response(200, content=success_body) + if isinstance(success_body, bytes) + else httpx.Response(200, json=success_body) + ) + rejecting: Final = respx_mock.post(f"https://rejecting.local{path}").mock( + return_value=httpx.Response( + refusal_status, json={"error": _UPSTREAM_400, "message": "upstream refused this request"} + ) + ) + accepting: Final = respx_mock.post(f"https://accepting.local{path}").mock(return_value=ok_response) + return rejecting, accepting + + +_LIT_7114_ASYNC_ENTRYPOINTS: Final[ + Mapping[str, tuple[str, str, int, Mapping[str, object] | bytes, Callable[[litellm.Router], Awaitable[object]]]] +] = { + "aembedding": ( + "openai/text-embedding-3-large", + "/v1/embeddings", + 400, + _LIT_7114_EMBEDDING_OK, + lambda router: router.aembedding(model="gpt-5.6", input="hi"), + ), + "aimage_generation": ( + "openai/gpt-image-1", + "/v1/images/generations", + 400, + _LIT_7114_IMAGE_OK, + lambda router: router.aimage_generation(model="gpt-5.6", prompt="a cat"), + ), + "atext_completion": ( + "text-completion-openai/gpt-3.5-turbo-instruct", + "/v1/completions", + 400, + {"id": "c", "object": "text_completion", "created": 1, "model": "i", "choices": [{"text": "hi", "index": 0}]}, + lambda router: router.atext_completion(model="gpt-5.6", prompt="hi"), + ), + "aspeech": ( + "openai/gpt-4o-mini-tts", + "/v1/audio/speech", + 400, + b"RIFF", + lambda router: router.aspeech(model="gpt-5.6", input="hi", voice="alloy"), + ), + "atranscription": ( + "openai/gpt-4o-transcribe", + "/v1/audio/transcriptions", + 400, + {"text": "hi"}, + lambda router: router.atranscription(model="gpt-5.6", file=("hi.wav", b"RIFF", "audio/wav")), + ), + "arerank": ( + "cohere/rerank-v3.5", + "/v2/rerank", + 400, + {"id": "r", "results": [{"index": 0, "relevance_score": 0.9}], "meta": {}}, + lambda router: router.arerank(model="gpt-5.6", query="hi", documents=["hi"]), + ), + "aadapter_completion": ( + "openai/gpt-5.6", + "/v1/chat/completions", + 400, + _LIT_7114_CHAT_OK, + lambda router: router.aadapter_completion( + adapter_id="lit-7114", model="gpt-5.6", messages=[{"role": "user", "content": "hi"}] + ), + ), + "acreate_batch": ( + "openai/gpt-5.6", + "/v1/batches", + 401, + _LIT_7114_BATCH_OK, + lambda router: router.acreate_batch( + model="gpt-5.6", completion_window="24h", endpoint="/v1/chat/completions", input_file_id="file-lit-7114" + ), + ), + "acancel_batch": ( + "openai/gpt-5.6", + "/v1/batches/batch_lit_7114/cancel", + 401, + {**_LIT_7114_BATCH_OK, "status": "cancelling"}, + lambda router: router.acancel_batch(model="gpt-5.6", batch_id="batch_lit_7114"), + ), +} + + +@pytest.mark.parametrize("entrypoint", sorted(_LIT_7114_ASYNC_ENTRYPOINTS)) +@pytest.mark.asyncio +async def test_router_retry_moves_off_the_refusing_deployment_on_every_async_entrypoint( + monkeypatch: pytest.MonkeyPatch, entrypoint: str +): + litellm_model, path, refusal_status, success_body, call = _LIT_7114_ASYNC_ENTRYPOINTS[entrypoint] + monkeypatch.setattr(litellm, "disable_aiohttp_transport", True) + monkeypatch.setattr(litellm, "adapters", [{"id": "lit-7114", "adapter": _PassthroughAdapter()}]) + router: Final = _lit_7114_router(litellm_model) + + with respx.mock as respx_mock: + rejecting, accepting = _lit_7114_mock_upstreams(respx_mock, path, refusal_status, success_body) + response: Final = await call(router) + + assert response is not None + assert rejecting.call_count == 1 + assert accepting.call_count == 1 + + +_LIT_7114_SYNC_ENTRYPOINTS: Final[ + Mapping[str, tuple[str, str, Mapping[str, object], Callable[[litellm.Router], object]]] +] = { + "embedding": ( + "openai/text-embedding-3-large", + "/v1/embeddings", + _LIT_7114_EMBEDDING_OK, + lambda router: router.embedding(model="gpt-5.6", input="hi"), + ), + "image_generation": ( + "openai/gpt-image-1", + "/v1/images/generations", + _LIT_7114_IMAGE_OK, + lambda router: router.image_generation(model="gpt-5.6", prompt="a cat"), + ), +} + + +@pytest.mark.parametrize("entrypoint", sorted(_LIT_7114_SYNC_ENTRYPOINTS)) +def test_router_retry_policy_400_moves_off_the_refusing_deployment_on_every_sync_entrypoint( + monkeypatch: pytest.MonkeyPatch, entrypoint: str +): + litellm_model, path, success_body, call = _LIT_7114_SYNC_ENTRYPOINTS[entrypoint] + monkeypatch.setattr(litellm, "disable_aiohttp_transport", True) + router: Final = _lit_7114_router(litellm_model) + + with respx.mock as respx_mock: + rejecting, accepting = _lit_7114_mock_upstreams(respx_mock, path, 400, success_body) + response: Final = call(router) + + assert response is not None + assert rejecting.call_count == 1 + assert accepting.call_count == 1 + + def _make_failure_logging_obj(): return LiteLLMLogging( model="gpt-5.6", @@ -14501,3 +14728,45 @@ def test_router_stays_quiet_when_a_deployment_drop_params_is_a_flag(value, caplo ) assert "is not a flag value" not in caplog.text + + +def test_get_candidate_model_ids_for_route_covers_model_name_and_pattern(): + """ + get_candidate_model_ids_for_route resolves a route the way the router does, so a + pre-call check can tell a genuine cross-group route from same-group unavailability. + A concrete model group returns its member ids; a wildcard/pattern deployment is + included for a concrete model it matches, which the bare model_name index misses. + Regression guard for the LIT-7195 tier-change discriminator's team/pattern gaps. + """ + router = Router( + model_list=[ + { + "model_name": "grp", + "litellm_params": {"model": "openai/gpt-4o", "api_key": "sk-a", "api_base": "https://x.invalid"}, + "model_info": {"id": "dep-a"}, + }, + { + "model_name": "grp", + "litellm_params": {"model": "openai/gpt-4o-mini", "api_key": "sk-b", "api_base": "https://x.invalid"}, + "model_info": {"id": "dep-b"}, + }, + { + "model_name": "openai/*", + "litellm_params": {"model": "openai/*", "api_key": "sk-c", "api_base": "https://x.invalid"}, + "model_info": {"id": "dep-wild"}, + }, + ] + ) + + assert router.get_candidate_model_ids_for_route(model="grp") == frozenset({"dep-a", "dep-b"}) + assert "dep-wild" in router.get_candidate_model_ids_for_route(model="openai/gpt-4o-some-new-model") + + +def test_deployment_ids_stringifies_ids_and_skips_entries_without_a_model_info_id(): + deployments = ( + {"model_info": {"id": "a"}}, + {"model_info": {"id": 2}}, + {"model_info": {}}, + {"no_model_info": True}, + ) + assert Router._deployment_ids(deployments) == frozenset({"a", "2"}) diff --git a/tests/test_litellm/test_select_ui_test_scope.py b/tests/test_litellm/test_select_ui_test_scope.py index c395e07bc79..bc11fb495aa 100644 --- a/tests/test_litellm/test_select_ui_test_scope.py +++ b/tests/test_litellm/test_select_ui_test_scope.py @@ -29,7 +29,7 @@ SCOPE_SCRIPT = REPO_ROOT / ".github" / "scripts" / "select_ui_test_scope.sh" WORKFLOW = REPO_ROOT / ".github" / "workflows" / "test-litellm-ui-unit.yml" STEP_NAME = "Run UI unit tests (Vitest)" -FULL_SUITE_ARGV = ["run", "test", "--", "--run", "--pool", "forks", "--poolOptions.forks.maxForks=14"] +FULL_SUITE_ARGV = ["run", "test", "--", "--run", "--pool", "forks", "--maxWorkers=14"] NON_SRC_FILES = [ "package.json", @@ -135,7 +135,7 @@ def _related_argv(changed: list[str]) -> list[str]: "--passWithNoTests", "--pool", "forks", - "--poolOptions.forks.maxForks=14", + "--maxWorkers=14", ] diff --git a/tests/test_litellm/test_utils.py b/tests/test_litellm/test_utils.py index fee5e3a2e4c..e42608c9904 100644 --- a/tests/test_litellm/test_utils.py +++ b/tests/test_litellm/test_utils.py @@ -2,10 +2,12 @@ import asyncio import json import logging import os +import threading from datetime import datetime, timedelta, timezone from typing import Final from unittest.mock import AsyncMock, MagicMock, patch +import httpx import pytest import respx from jsonschema import validate @@ -2382,6 +2384,28 @@ def test_register_model_with_scientific_notation(): _invalidate_model_cost_lowercase_map() +@respx.mock +def test_register_model_url_fetch_uses_single_attempt(monkeypatch): + monkeypatch.delenv("LITELLM_LOCAL_MODEL_COST_MAP", raising=False) + monkeypatch.setattr(litellm, "model_cost", dict(litellm.model_cost)) + before = dict(litellm.model_cost) + threads_before = {thread.name for thread in threading.enumerate()} + route = respx.get("https://example.invalid/custom_pricing.json").mock( + return_value=httpx.Response(503) + ) + + litellm.register_model(model_cost="https://example.invalid/custom_pricing.json") + + threads_after = {thread.name for thread in threading.enumerate()} + assert route.call_count == 1 + assert not (threads_after - threads_before) & {"litellm-model-cost-map-retry"} + assert not any( + thread.name == "litellm-model-cost-map-retry" and thread.is_alive() + for thread in threading.enumerate() + ) + assert litellm.model_cost.keys() >= before.keys() + + def test_register_model_openrouter_without_slash(): """ Test that register_model handles openrouter models without '/' in the name. diff --git a/ui/litellm-dashboard/next.config.mjs b/ui/litellm-dashboard/next.config.mjs index 876df2b49cf..128ce0a84a7 100644 --- a/ui/litellm-dashboard/next.config.mjs +++ b/ui/litellm-dashboard/next.config.mjs @@ -7,6 +7,9 @@ const __dirname = path.dirname(__filename); const nextConfig = { output: "export", + experimental: { + useTypeScriptCli: false, + }, compiler: { removeConsole: process.env.NODE_ENV === "production" ? { exclude: ["error", "warn"] } : false, }, diff --git a/ui/litellm-dashboard/package-lock.json b/ui/litellm-dashboard/package-lock.json index 4e5b0c1dda6..44360e94392 100644 --- a/ui/litellm-dashboard/package-lock.json +++ b/ui/litellm-dashboard/package-lock.json @@ -24,7 +24,7 @@ "jwt-decode": "4.0.0", "lucide-react": "0.513.0", "moment": "2.30.1", - "next": "16.2.11", + "next": "16.3.3", "next-themes": "^0.4.6", "nuqs": "^2.9.4", "openai": "4.104.0", @@ -58,10 +58,10 @@ "@types/react-copy-to-clipboard": "5.0.7", "@types/react-dom": "19.2.4", "@types/react-syntax-highlighter": "15.5.13", - "@vitest/coverage-v8": "3.2.6", - "@vitest/ui": "3.2.6", + "@vitest/coverage-v8": "4.1.11", + "@vitest/ui": "4.1.11", "eslint": "9.39.2", - "eslint-config-next": "16.2.11", + "eslint-config-next": "16.3.3", "eslint-config-prettier": "10.1.8", "eslint-plugin-jest-dom": "5.10.1", "eslint-plugin-testing-library": "7.16.2", @@ -75,7 +75,8 @@ "tw-animate-css": "1.4.0", "typescript": "5.9.3", "typescript-eslint": "8.60.1", - "vitest": "3.2.6" + "vite": "7.3.5", + "vitest": "4.1.11" }, "engines": { "node": ">=24.14.1", @@ -109,20 +110,6 @@ "url": "https://github.com/sponsors/sindresorhus" } }, - "node_modules/@ampproject/remapping": { - "version": "2.3.0", - "resolved": "https://registry.npmjs.org/@ampproject/remapping/-/remapping-2.3.0.tgz", - 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"@types/chai": "^5.2.2", - "@vitest/expect": "3.2.6", - "@vitest/mocker": "3.2.6", - "@vitest/pretty-format": "^3.2.6", - "@vitest/runner": "3.2.6", - "@vitest/snapshot": "3.2.6", - "@vitest/spy": "3.2.6", - "@vitest/utils": "3.2.6", - "chai": "^5.2.0", - "debug": "^4.4.1", - "expect-type": "^1.2.1", - "magic-string": "^0.30.17", + "@vitest/expect": "4.1.11", + "@vitest/mocker": "4.1.11", + "@vitest/pretty-format": "4.1.11", + "@vitest/runner": "4.1.11", + "@vitest/snapshot": "4.1.11", + "@vitest/spy": "4.1.11", + "@vitest/utils": "4.1.11", + "es-module-lexer": "^2.0.0", + "expect-type": "^1.3.0", + "magic-string": "^0.30.21", + "obug": "^2.1.1", "pathe": "^2.0.3", - "picomatch": "^4.0.2", - "std-env": "^3.9.0", + "picomatch": "^4.0.3", + "std-env": "^4.0.0-rc.1", "tinybench": "^2.9.0", - "tinyexec": "^0.3.2", - "tinyglobby": "^0.2.14", - "tinypool": "^1.1.1", - "tinyrainbow": "^2.0.0", - "vite": "^5.0.0 || ^6.0.0 || ^7.0.0-0", - "vite-node": "3.2.4", + "tinyexec": "^1.0.2", + "tinyglobby": "^0.2.15", + "tinyrainbow": "^3.1.0", + "vite": "^6.0.0 || ^7.0.0 || ^8.0.0", "why-is-node-running": "^2.3.0" }, "bin": { "vitest": "vitest.mjs" }, "engines": { - "node": "^18.0.0 || ^20.0.0 || >=22.0.0" + "node": "^20.0.0 || ^22.0.0 || >=24.0.0" }, "funding": { "url": "https://opencollective.com/vitest" }, "peerDependencies": { "@edge-runtime/vm": "*", - "@types/debug": "^4.1.12", - "@types/node": "^18.0.0 || ^20.0.0 || >=22.0.0", - "@vitest/browser": "3.2.6", - "@vitest/ui": "3.2.6", + "@opentelemetry/api": "^1.9.0", + "@types/node": "^20.0.0 || ^22.0.0 || >=24.0.0", + "@vitest/browser-playwright": "4.1.11", + "@vitest/browser-preview": "4.1.11", + "@vitest/browser-webdriverio": "4.1.11", + "@vitest/coverage-istanbul": "4.1.11", + "@vitest/coverage-v8": "4.1.11", + "@vitest/ui": "4.1.11", "happy-dom": "*", - "jsdom": "*" + "jsdom": "*", + "vite": "^6.0.0 || ^7.0.0 || ^8.0.0" }, "peerDependenciesMeta": { "@edge-runtime/vm": { "optional": true }, - "@types/debug": { + "@opentelemetry/api": { "optional": true }, "@types/node": { "optional": true }, - "@vitest/browser": { + "@vitest/browser-playwright": { + "optional": true + }, + "@vitest/browser-preview": { + "optional": true + }, + "@vitest/browser-webdriverio": { + "optional": true + }, + "@vitest/coverage-istanbul": { + "optional": true + }, + "@vitest/coverage-v8": { "optional": true }, "@vitest/ui": { @@ -12655,6 +12527,9 @@ }, "jsdom": { "optional": true + }, + "vite": { + "optional": false } } }, diff --git a/ui/litellm-dashboard/package.json b/ui/litellm-dashboard/package.json index ededdfb4606..9786d5c1d6e 100644 --- a/ui/litellm-dashboard/package.json +++ b/ui/litellm-dashboard/package.json @@ -40,7 +40,7 @@ "jwt-decode": "4.0.0", "lucide-react": "0.513.0", "moment": "2.30.1", - "next": "16.2.11", + "next": "16.3.3", "next-themes": "^0.4.6", "nuqs": "^2.9.4", "openai": "4.104.0", @@ -74,10 +74,10 @@ "@types/react-copy-to-clipboard": "5.0.7", "@types/react-dom": "19.2.4", "@types/react-syntax-highlighter": "15.5.13", - "@vitest/coverage-v8": "3.2.6", - "@vitest/ui": "3.2.6", + "@vitest/coverage-v8": "4.1.11", + "@vitest/ui": "4.1.11", "eslint": "9.39.2", - "eslint-config-next": "16.2.11", + "eslint-config-next": "16.3.3", "eslint-config-prettier": "10.1.8", "eslint-plugin-jest-dom": "5.10.1", "eslint-plugin-testing-library": "7.16.2", @@ -91,11 +91,12 @@ "tw-animate-css": "1.4.0", "typescript": "5.9.3", "typescript-eslint": "8.60.1", - "vitest": "3.2.6" + "vite": "7.3.5", + "vitest": "4.1.11" }, "overrides": { "prismjs": "1.30.0", - "js-yaml": "4.3.1", + "js-yaml": "4.3.2", "brace-expansion": "5.0.9", "glob": "13.0.0", "minimatch": "10.2.4", @@ -104,7 +105,7 @@ "axios": "1.13.6", "postcss": "8.5.23", "esbuild": "0.28.1", - "sharp": "^0.35.0" + "sharp": "^0.35.4" }, "engines": { "node": ">=24.14.1", diff --git a/ui/litellm-dashboard/src/app/(dashboard)/access-groups/_components/access-group-create/AccessGroupCreateDialog.test.tsx b/ui/litellm-dashboard/src/app/(dashboard)/access-groups/_components/access-group-create/AccessGroupCreateDialog.test.tsx index 7a006efce1e..1ea7286c686 100644 --- a/ui/litellm-dashboard/src/app/(dashboard)/access-groups/_components/access-group-create/AccessGroupCreateDialog.test.tsx +++ b/ui/litellm-dashboard/src/app/(dashboard)/access-groups/_components/access-group-create/AccessGroupCreateDialog.test.tsx @@ -2,7 +2,7 @@ import { QueryClient, QueryClientProvider } from "@tanstack/react-query"; import { render, screen, waitFor } from "@testing-library/react"; import userEvent from "@testing-library/user-event"; import React from "react"; -import { describe, expect, it, vi } from "vitest"; +import { describe, expect, it, vi, type Mock } from "vitest"; vi.mock("@/components/ModelSelect/ModelSelect", () => ({ ModelSelect: ({ onChange }: { onChange: (values: string[]) => void }) => ( @@ -32,7 +32,7 @@ const Harness = ({ createAccessGroup }: { createAccessGroup: (body: unknown) => ); }; -const renderDialog = (overrides?: { createAccessGroup?: ReturnType }) => { +const renderDialog = (overrides?: { createAccessGroup?: Mock }) => { const createAccessGroup = overrides?.createAccessGroup ?? vi.fn().mockResolvedValue({}); const queryClient = new QueryClient({ defaultOptions: { queries: { retry: false } } }); render( diff --git a/ui/litellm-dashboard/src/app/(dashboard)/hooks/cloudzero/useCloudZeroCreate.test.ts b/ui/litellm-dashboard/src/app/(dashboard)/hooks/cloudzero/useCloudZeroCreate.test.ts index f370e4d6d6e..f0cfd2a4e30 100644 --- a/ui/litellm-dashboard/src/app/(dashboard)/hooks/cloudzero/useCloudZeroCreate.test.ts +++ b/ui/litellm-dashboard/src/app/(dashboard)/hooks/cloudzero/useCloudZeroCreate.test.ts @@ -1,4 +1,4 @@ -import { describe, it, expect, vi, beforeEach, afterEach } from "vitest"; +import { describe, it, expect, vi, beforeEach, afterEach, type Mock } from "vitest"; import { renderHook, waitFor } from "@testing-library/react"; import { QueryClient, QueryClientProvider } from "@tanstack/react-query"; import React, { ReactNode } from "react"; @@ -28,7 +28,7 @@ vi.mock("@/components/networking", () => ({ describe("useCloudZeroCreate", () => { let queryClient: QueryClient; - let fetchSpy: ReturnType; + let fetchSpy: Mock; beforeEach(() => { queryClient = new QueryClient({ diff --git a/ui/litellm-dashboard/src/app/(dashboard)/hooks/cloudzero/useCloudZeroDryRun.test.ts b/ui/litellm-dashboard/src/app/(dashboard)/hooks/cloudzero/useCloudZeroDryRun.test.ts index b5b903ea620..5e9446be1d2 100644 --- a/ui/litellm-dashboard/src/app/(dashboard)/hooks/cloudzero/useCloudZeroDryRun.test.ts +++ b/ui/litellm-dashboard/src/app/(dashboard)/hooks/cloudzero/useCloudZeroDryRun.test.ts @@ -1,4 +1,4 @@ -import { describe, it, expect, vi, beforeEach, afterEach } from "vitest"; +import { describe, it, expect, vi, beforeEach, afterEach, type Mock } from "vitest"; import { renderHook, waitFor } from "@testing-library/react"; import { QueryClient, QueryClientProvider } from "@tanstack/react-query"; import React, { ReactNode } from "react"; @@ -28,7 +28,7 @@ vi.mock("@/components/networking", () => ({ describe("useCloudZeroDryRun", () => { let queryClient: QueryClient; - let fetchSpy: ReturnType; + let fetchSpy: Mock; beforeEach(() => { queryClient = new QueryClient({ diff --git a/ui/litellm-dashboard/src/app/(dashboard)/hooks/cloudzero/useCloudZeroExport.test.ts b/ui/litellm-dashboard/src/app/(dashboard)/hooks/cloudzero/useCloudZeroExport.test.ts index 3c44d75dd06..20f33dfeeef 100644 --- a/ui/litellm-dashboard/src/app/(dashboard)/hooks/cloudzero/useCloudZeroExport.test.ts +++ b/ui/litellm-dashboard/src/app/(dashboard)/hooks/cloudzero/useCloudZeroExport.test.ts @@ -1,4 +1,4 @@ -import { describe, it, expect, vi, beforeEach, afterEach } from "vitest"; +import { describe, it, expect, vi, beforeEach, afterEach, type Mock } from "vitest"; import { renderHook, waitFor } from "@testing-library/react"; import { QueryClient, QueryClientProvider } from "@tanstack/react-query"; import React, { ReactNode } from "react"; @@ -28,7 +28,7 @@ vi.mock("@/components/networking", () => ({ describe("useCloudZeroExport", () => { let queryClient: QueryClient; - let fetchSpy: ReturnType; + let fetchSpy: Mock; beforeEach(() => { queryClient = new QueryClient({ diff --git a/ui/litellm-dashboard/src/app/(dashboard)/hooks/cloudzero/useCloudZeroSettings.test.ts b/ui/litellm-dashboard/src/app/(dashboard)/hooks/cloudzero/useCloudZeroSettings.test.ts index b0c96987519..53d5b874b9e 100644 --- a/ui/litellm-dashboard/src/app/(dashboard)/hooks/cloudzero/useCloudZeroSettings.test.ts +++ b/ui/litellm-dashboard/src/app/(dashboard)/hooks/cloudzero/useCloudZeroSettings.test.ts @@ -1,4 +1,4 @@ -import { describe, it, expect, vi, beforeEach, afterEach } from "vitest"; +import { describe, it, expect, vi, beforeEach, afterEach, type Mock } from "vitest"; import { renderHook, waitFor } from "@testing-library/react"; import { QueryClient, QueryClientProvider } from "@tanstack/react-query"; import React, { ReactNode } from "react"; @@ -54,7 +54,7 @@ const mockCloudZeroSettings: CloudZeroSettings = { describe("useCloudZeroSettings", () => { let queryClient: QueryClient; - let fetchSpy: ReturnType; + let fetchSpy: Mock; beforeEach(() => { queryClient = new QueryClient({ @@ -69,6 +69,7 @@ describe("useCloudZeroSettings", () => { }); vi.clearAllMocks(); + mockGetProxyBaseUrl.mockReset(); fetchSpy = vi.fn(); global.fetch = fetchSpy; @@ -240,7 +241,7 @@ describe("useCloudZeroSettings", () => { describe("useCloudZeroUpdateSettings", () => { let queryClient: QueryClient; - let fetchSpy: ReturnType; + let fetchSpy: Mock; beforeEach(() => { queryClient = new QueryClient({ @@ -255,6 +256,7 @@ describe("useCloudZeroUpdateSettings", () => { }); vi.clearAllMocks(); + mockGetProxyBaseUrl.mockReset(); fetchSpy = vi.fn(); global.fetch = fetchSpy; @@ -481,7 +483,7 @@ describe("useCloudZeroUpdateSettings", () => { describe("useCloudZeroDeleteSettings", () => { let queryClient: QueryClient; - let fetchSpy: ReturnType; + let fetchSpy: Mock; beforeEach(() => { queryClient = new QueryClient({ @@ -496,6 +498,7 @@ describe("useCloudZeroDeleteSettings", () => { }); vi.clearAllMocks(); + mockGetProxyBaseUrl.mockReset(); fetchSpy = vi.fn(); global.fetch = fetchSpy; diff --git a/ui/litellm-dashboard/src/app/(dashboard)/hooks/proxyConfig/useProxyConfig.test.ts b/ui/litellm-dashboard/src/app/(dashboard)/hooks/proxyConfig/useProxyConfig.test.ts index 4ba80df5c6c..822f04e6dc2 100644 --- a/ui/litellm-dashboard/src/app/(dashboard)/hooks/proxyConfig/useProxyConfig.test.ts +++ b/ui/litellm-dashboard/src/app/(dashboard)/hooks/proxyConfig/useProxyConfig.test.ts @@ -1,4 +1,4 @@ -import { describe, it, expect, vi, beforeEach, afterEach } from "vitest"; +import { describe, it, expect, vi, beforeEach, afterEach, type Mock } from "vitest"; import { renderHook, waitFor } from "@testing-library/react"; import { QueryClient, QueryClientProvider } from "@tanstack/react-query"; import React, { ReactNode } from "react"; @@ -109,7 +109,7 @@ vi.mock("../common/queryKeysFactory", () => ({ describe("useProxyConfig", () => { let queryClient: QueryClient; - let fetchSpy: ReturnType; + let fetchSpy: Mock; beforeEach(() => { queryClient = new QueryClient({ @@ -277,7 +277,7 @@ describe("useProxyConfig", () => { describe("useDeleteProxyConfigField", () => { let queryClient: QueryClient; - let fetchSpy: ReturnType; + let fetchSpy: Mock; beforeEach(() => { queryClient = new QueryClient({ @@ -452,7 +452,7 @@ describe("useDeleteProxyConfigField", () => { }); describe("getProxyConfigCall", () => { - let fetchSpy: ReturnType; + let fetchSpy: Mock; let consoleErrorSpy: ReturnType; beforeEach(() => { @@ -508,7 +508,7 @@ describe("getProxyConfigCall", () => { }); describe("deleteProxyConfigFieldCall", () => { - let fetchSpy: ReturnType; + let fetchSpy: Mock; let consoleErrorSpy: ReturnType; beforeEach(() => { diff --git a/ui/litellm-dashboard/src/app/(dashboard)/hooks/storeModelInDB/useStoreModelInDB.test.ts b/ui/litellm-dashboard/src/app/(dashboard)/hooks/storeModelInDB/useStoreModelInDB.test.ts index dd69e8c8791..696383b04c8 100644 --- a/ui/litellm-dashboard/src/app/(dashboard)/hooks/storeModelInDB/useStoreModelInDB.test.ts +++ b/ui/litellm-dashboard/src/app/(dashboard)/hooks/storeModelInDB/useStoreModelInDB.test.ts @@ -1,4 +1,4 @@ -import { describe, it, expect, vi, beforeEach, afterEach } from "vitest"; +import { describe, it, expect, vi, beforeEach, afterEach, type Mock } from "vitest"; import { renderHook, waitFor } from "@testing-library/react"; import { QueryClient, QueryClientProvider } from "@tanstack/react-query"; import React, { ReactNode } from "react"; @@ -11,7 +11,7 @@ vi.mock("@/components/networking", () => ({ describe("useStoreModelInDB", () => { let queryClient: QueryClient; - let fetchSpy: ReturnType; + let fetchSpy: Mock; beforeEach(() => { queryClient = new QueryClient({ diff --git a/ui/litellm-dashboard/src/app/(dashboard)/mcp-servers/_components/ToolTestPanel.test.tsx b/ui/litellm-dashboard/src/app/(dashboard)/mcp-servers/_components/ToolTestPanel.test.tsx index 81c55e7982a..43e0b1ddd1f 100644 --- a/ui/litellm-dashboard/src/app/(dashboard)/mcp-servers/_components/ToolTestPanel.test.tsx +++ b/ui/litellm-dashboard/src/app/(dashboard)/mcp-servers/_components/ToolTestPanel.test.tsx @@ -2,7 +2,7 @@ import React from "react"; import { fireEvent, render, screen } from "@testing-library/react"; import userEvent from "@testing-library/user-event"; import type { UserEvent } from "@testing-library/user-event"; -import { describe, expect, it, vi } from "vitest"; +import { describe, expect, it, vi, type Mock } from "vitest"; import { ToolTestPanel } from "./ToolTestPanel"; import { InputSchema, MCPTool } from "@/components/mcp_tools/types"; @@ -341,7 +341,7 @@ describe("ToolTestPanel argument payload", () => { }); describe("ToolTestPanel schema changes under a stable tool name", () => { - const renderWith = (schema: InputSchema, onSubmit: ReturnType) => ( + const renderWith = (schema: InputSchema, onSubmit: Mock) => ( ({ const mockMessagesStream = vi.fn(); vi.mock("@anthropic-ai/sdk", () => ({ - default: vi.fn(() => ({ messages: { stream: mockMessagesStream } })), + default: vi.fn(function () { + return { messages: { stream: mockMessagesStream } }; + }), })); describe("anthropic_messages prompt cache usage", () => { diff --git a/ui/litellm-dashboard/src/app/(dashboard)/playground/llm_calls/audio_speech.test.tsx b/ui/litellm-dashboard/src/app/(dashboard)/playground/llm_calls/audio_speech.test.tsx index dbfe8a39959..17f5d0f28a4 100644 --- a/ui/litellm-dashboard/src/app/(dashboard)/playground/llm_calls/audio_speech.test.tsx +++ b/ui/litellm-dashboard/src/app/(dashboard)/playground/llm_calls/audio_speech.test.tsx @@ -20,13 +20,15 @@ describe("audio_speech", () => { }); // Mock the OpenAI constructor and its methods - (OpenAI as any).mockImplementation(() => ({ - audio: { - speech: { - create: mockCreate, + (OpenAI as any).mockImplementation(function () { + return { + audio: { + speech: { + create: mockCreate, + }, }, - }, - })); + }; + }); }); afterEach(() => { diff --git a/ui/litellm-dashboard/src/app/(dashboard)/playground/llm_calls/audio_transcriptions.test.tsx b/ui/litellm-dashboard/src/app/(dashboard)/playground/llm_calls/audio_transcriptions.test.tsx index 65b11e7f7d8..52561e5d42e 100644 --- a/ui/litellm-dashboard/src/app/(dashboard)/playground/llm_calls/audio_transcriptions.test.tsx +++ b/ui/litellm-dashboard/src/app/(dashboard)/playground/llm_calls/audio_transcriptions.test.tsx @@ -16,13 +16,15 @@ describe("audio_transcription", () => { }); // Mock the OpenAI constructor and its methods - (OpenAI as any).mockImplementation(() => ({ - audio: { - transcriptions: { - create: mockCreate, + (OpenAI as any).mockImplementation(function () { + return { + audio: { + transcriptions: { + create: mockCreate, + }, }, - }, - })); + }; + }); }); afterEach(() => { diff --git a/ui/litellm-dashboard/src/app/(dashboard)/users/_components/default-user-settings/DefaultUserSettingsForm.test.tsx b/ui/litellm-dashboard/src/app/(dashboard)/users/_components/default-user-settings/DefaultUserSettingsForm.test.tsx index 15ab243b868..a10e70dcb87 100644 --- a/ui/litellm-dashboard/src/app/(dashboard)/users/_components/default-user-settings/DefaultUserSettingsForm.test.tsx +++ b/ui/litellm-dashboard/src/app/(dashboard)/users/_components/default-user-settings/DefaultUserSettingsForm.test.tsx @@ -2,7 +2,7 @@ import { QueryClient, QueryClientProvider } from "@tanstack/react-query"; import { render, screen, waitFor } from "@testing-library/react"; import userEvent from "@testing-library/user-event"; import React from "react"; -import { beforeEach, describe, expect, it, vi } from "vitest"; +import { beforeEach, describe, expect, it, vi, type Mock } from "vitest"; vi.mock("@/app/(dashboard)/hooks/teams/useTeams", () => ({ useInfiniteTeams: () => ({ @@ -65,10 +65,7 @@ const SAVED_BODY = { teams: [{ team_id: "team-alpha", max_budget_in_team: 25, user_role: "user" }], }; -const renderForm = (overrides?: { - fetchSettings?: ReturnType; - updateSettings?: ReturnType; -}) => { +const renderForm = (overrides?: { fetchSettings?: Mock; updateSettings?: Mock }) => { const fetchSettings = overrides?.fetchSettings ?? vi.fn().mockResolvedValue(SETTINGS); const updateSettings = overrides?.updateSettings ?? vi.fn().mockResolvedValue(undefined); const queryClient = new QueryClient({ defaultOptions: { queries: { retry: false } } }); diff --git a/ui/litellm-dashboard/src/app/(dashboard)/users/_components/view_users/UsersTable.test.tsx b/ui/litellm-dashboard/src/app/(dashboard)/users/_components/view_users/UsersTable.test.tsx index 860b1c35cfd..16911946d34 100644 --- a/ui/litellm-dashboard/src/app/(dashboard)/users/_components/view_users/UsersTable.test.tsx +++ b/ui/litellm-dashboard/src/app/(dashboard)/users/_components/view_users/UsersTable.test.tsx @@ -3,7 +3,7 @@ import type { PaginationState, RowSelectionState, SortingState } from "@tanstack import { render, screen, within } from "@testing-library/react"; import userEvent from "@testing-library/user-event"; import { useState } from "react"; -import { describe, expect, it, vi } from "vitest"; +import { describe, expect, it, vi, type Mock } from "vitest"; import { UserInfo } from "@/components/networking"; @@ -39,7 +39,7 @@ interface HarnessOverrides { onUserClick?: (userId: string, openInEditMode?: boolean) => void; onDeleteUser?: (user: UserInfo) => void; onResetPassword?: (userId: string) => void; - onSortingChange?: ReturnType; + onSortingChange?: Mock; } /** diff --git a/ui/litellm-dashboard/src/app/(dashboard)/vector-stores/_components/VectorStoreForm.test.tsx b/ui/litellm-dashboard/src/app/(dashboard)/vector-stores/_components/VectorStoreForm.test.tsx index 84a9314ecce..03020bbc4a5 100644 --- a/ui/litellm-dashboard/src/app/(dashboard)/vector-stores/_components/VectorStoreForm.test.tsx +++ b/ui/litellm-dashboard/src/app/(dashboard)/vector-stores/_components/VectorStoreForm.test.tsx @@ -69,10 +69,11 @@ describe("VectorStoreForm", () => { }); }); -const MONGODB_URI = "mongodb+srv://user:pass@cluster0.mongodb.net"; +const MONGODB_SIDECAR_URL = "http://127.0.0.1:8080"; const MONGODB_REQUIRED_FORM_VALUES = { - mongodb_connection_string: MONGODB_URI, + api_base: MONGODB_SIDECAR_URL, + api_key: "sidecar-test-key", mongodb_database: "sample_mflix", mongodb_collection: "embedded_movies", embedding_model: "text-embedding-ada-002", @@ -127,7 +128,8 @@ describe("buildVectorStoreLitellmParams", () => { mongodb_num_candidates: "200", }; const expected = { - mongodb_connection_string: MONGODB_URI, + api_base: MONGODB_SIDECAR_URL, + api_key: "sidecar-test-key", mongodb_database: "sample_mflix", mongodb_collection: "embedded_movies", mongodb_embedding_field: "plot_embedding", @@ -142,6 +144,7 @@ describe("buildVectorStoreLitellmParams", () => { it("sends only mongodb fields when an earlier provider left values in the form", () => { const formValues = { ...MONGODB_REQUIRED_FORM_VALUES, + mongodb_connection_string: "mongodb://obsolete-credentials", valkey_host: "left-over-from-valkey.example.com", valkey_port: "6379", aws_region_name: "us-west-2", @@ -152,7 +155,8 @@ describe("buildVectorStoreLitellmParams", () => { expect(params).not.toHaveProperty("valkey_host"); expect(params).not.toHaveProperty("valkey_port"); expect(params).not.toHaveProperty("aws_region_name"); - expect(params.mongodb_connection_string).toBe(MONGODB_URI); + expect(params.api_base).toBe(MONGODB_SIDECAR_URL); + expect(params).not.toHaveProperty("mongodb_connection_string"); }); it("omits a blank mongodb_num_candidates so litellm picks its own candidate count", () => { diff --git a/ui/litellm-dashboard/src/app/(dashboard)/vector-stores/_components/VectorStoreForm.tsx b/ui/litellm-dashboard/src/app/(dashboard)/vector-stores/_components/VectorStoreForm.tsx index 61da25874a5..67ef1b795ba 100644 --- a/ui/litellm-dashboard/src/app/(dashboard)/vector-stores/_components/VectorStoreForm.tsx +++ b/ui/litellm-dashboard/src/app/(dashboard)/vector-stores/_components/VectorStoreForm.tsx @@ -70,7 +70,6 @@ const PROVIDER_FIELD_NAMES = [ "vector_bucket_name", "index_name", "aws_region_name", - "mongodb_connection_string", "mongodb_database", "mongodb_collection", "mongodb_embedding_field", @@ -107,7 +106,6 @@ const vectorStoreShape = { vector_bucket_name: optionalText, index_name: optionalText, aws_region_name: optionalText, - mongodb_connection_string: optionalText, mongodb_database: optionalText, mongodb_collection: optionalText, mongodb_embedding_field: optionalText, @@ -142,7 +140,7 @@ const VECTOR_STORE_ID_PLACEHOLDERS: Record = { vertex_rag_engine: '6917529027641081856 (corpus ID from Vertex AI / "RAG Engine" console)', "vertex_ai/search_api": 'my-datastore_1234567890 (data store ID from Vertex AI / "Agent Search" console)', valkey: "my-search-index (FT index name in Valkey)", - mongodb: "my-vector-index (Atlas Vector Search index name)", + mongodb: "my-vector-index (MongoDB Vector Search index name)", }; const VERTEX_SEARCH_API_WITH_ENGINE_PLACEHOLDER = "Any identifier you'll use to reference this in LiteLLM"; diff --git a/ui/litellm-dashboard/src/components/PassThroughSettings/PassThroughEndpointsTable.test.tsx b/ui/litellm-dashboard/src/components/PassThroughSettings/PassThroughEndpointsTable.test.tsx index 040fa463f9c..af3f98b746b 100644 --- a/ui/litellm-dashboard/src/components/PassThroughSettings/PassThroughEndpointsTable.test.tsx +++ b/ui/litellm-dashboard/src/components/PassThroughSettings/PassThroughEndpointsTable.test.tsx @@ -89,6 +89,65 @@ describe("PassThroughEndpointsTable", () => { expect(onDeleteClick).toHaveBeenCalledWith("ep-1"); }); + it("should disable edit and delete for config-defined endpoints", async () => { + const user = userEvent.setup(); + const onEndpointClick = vi.fn(); + const onDeleteClick = vi.fn(); + const configEndpoint: passThroughItem = { + id: "ep-config", + path: "/from-config", + target: "https://config.example.com", + headers: {}, + is_from_config: true, + }; + render( + , + ); + + await user.click(screen.getByTestId("endpoint-actions-ep-config")); + const editItem = await screen.findByTestId("endpoint-action-edit"); + const deleteItem = await screen.findByTestId("endpoint-action-delete"); + + expect(editItem).toHaveAttribute("data-disabled"); + expect(deleteItem).toHaveAttribute("data-disabled"); + expect(screen.getByTestId("endpoint-config-hint")).toHaveTextContent( + "This endpoint is defined in the config file and cannot be edited or deleted on the dashboard.", + ); + + await user.click(editItem); + await user.click(deleteItem); + + expect(onEndpointClick).not.toHaveBeenCalled(); + expect(onDeleteClick).not.toHaveBeenCalled(); + }); + + it("should not show the config hint for DB endpoints", async () => { + const user = userEvent.setup(); + render(); + + await user.click(screen.getByTestId("endpoint-actions-ep-1")); + await screen.findByTestId("endpoint-action-delete"); + expect(screen.queryByTestId("endpoint-config-hint")).not.toBeInTheDocument(); + }); + + it("should label endpoint source as Config or DB", () => { + const configEndpoint: passThroughItem = { + id: "ep-config", + path: "/from-config", + target: "https://config.example.com", + headers: {}, + is_from_config: true, + }; + render(); + expect(screen.getByText("Config")).toBeInTheDocument(); + expect(screen.getAllByText("DB")).toHaveLength(2); + }); + it("should disable edit and delete for endpoints without an id", async () => { const user = userEvent.setup(); const onEndpointClick = vi.fn(); diff --git a/ui/litellm-dashboard/src/components/PassThroughSettings/PassThroughEndpointsTableColumns.tsx b/ui/litellm-dashboard/src/components/PassThroughSettings/PassThroughEndpointsTableColumns.tsx index d22b274861a..5b18685a140 100644 --- a/ui/litellm-dashboard/src/components/PassThroughSettings/PassThroughEndpointsTableColumns.tsx +++ b/ui/litellm-dashboard/src/components/PassThroughSettings/PassThroughEndpointsTableColumns.tsx @@ -18,6 +18,9 @@ import { cn } from "@/lib/cva.config"; import type { passThroughItem } from "./PassThroughSettings"; +const CONFIG_ENDPOINT_HINT = + "This endpoint is defined in the config file and cannot be edited or deleted on the dashboard."; + function HeaderWithTooltip({ title, tooltip }: { title: string; tooltip: string }) { return (
@@ -73,6 +76,7 @@ interface EndpointRowActionsProps { function EndpointRowActions({ endpoint, onEndpointClick, onDeleteClick }: EndpointRowActionsProps) { const endpointId = endpoint.id; + const isFromConfig = endpoint.is_from_config ?? false; return ( endpointId && onEndpointClick(endpointId)} + disabled={isFromConfig || !endpointId} + onClick={() => !isFromConfig && endpointId && onEndpointClick(endpointId)} > Edit @@ -95,12 +99,17 @@ function EndpointRowActions({ endpoint, onEndpointClick, onDeleteClick }: Endpoi endpointId && onDeleteClick(endpointId)} + disabled={isFromConfig || !endpointId} + onClick={() => !isFromConfig && endpointId && onDeleteClick(endpointId)} > Delete + {isFromConfig && ( +
+ {CONFIG_ENDPOINT_HINT} +
+ )} ); @@ -124,7 +133,9 @@ export const getPassThroughEndpointsTableColumns = ({ enableSorting: false, cell: ({ row }) => { const endpointId = row.original.id; - if (!endpointId) return —; + if (!endpointId || row.original.is_from_config) { + return —; + } return ( { + const isFromConfig = row.original.is_from_config ?? false; + return ; + }, + }, { id: "path", accessorKey: "path", diff --git a/ui/litellm-dashboard/src/components/PassThroughSettings/PassThroughSettings.tsx b/ui/litellm-dashboard/src/components/PassThroughSettings/PassThroughSettings.tsx index 2dc6fdbd32c..8ef2766d412 100644 --- a/ui/litellm-dashboard/src/components/PassThroughSettings/PassThroughSettings.tsx +++ b/ui/litellm-dashboard/src/components/PassThroughSettings/PassThroughSettings.tsx @@ -1,4 +1,13 @@ import React, { useState, useEffect } from "react"; +import { + AlertDialog, + AlertDialogCancel, + AlertDialogContent, + AlertDialogDescription, + AlertDialogFooter, + AlertDialogHeader, + AlertDialogTitle, +} from "@/components/ui/alert-dialog"; import { Button } from "@/components/ui/button"; import { deletePassThroughEndpointsCall, getPassThroughEndpointsCall } from "../networking"; import AddPassThroughEndpoint from "../add_pass_through"; @@ -25,6 +34,7 @@ export interface passThroughItem { methods?: string[]; guardrails?: Record; default_query_params?: Record; + is_from_config?: boolean; } const PassThroughSettings: React.FC = ({ accessToken, userRole, userID, premiumUser }) => { @@ -133,42 +143,22 @@ const PassThroughSettings: React.FC = ({ accessToken, onDeleteClick={handleDelete} /> - {isDeleteModalOpen && ( -
-
- - - - -
-
-
-
-

Delete Pass-Through Endpoint

-
-

- Are you sure you want to delete this pass-through endpoint? This action cannot be undone. -

-
-
-
-
-
- - -
-
-
-
- )} + !open && cancelDelete()}> + + + Delete Pass-Through Endpoint + + Are you sure you want to delete this pass-through endpoint? This action cannot be undone. + + + + Cancel + + + +
); }; diff --git a/ui/litellm-dashboard/src/components/add_model/ClassificationMethodConfig.tsx b/ui/litellm-dashboard/src/components/add_model/ClassificationMethodConfig.tsx index 111eeebe5a3..594c6d022ce 100644 --- a/ui/litellm-dashboard/src/components/add_model/ClassificationMethodConfig.tsx +++ b/ui/litellm-dashboard/src/components/add_model/ClassificationMethodConfig.tsx @@ -17,6 +17,7 @@ import ClassifierReasoningEffortSelect from "./ClassifierReasoningEffortSelect"; import ClassifierCircuitBreakerConfig from "./ClassifierCircuitBreakerConfig"; import ClassifierVisionConfig from "./ClassifierVisionConfig"; import type { ReasoningEffort } from "./complexity_router_tiers"; +import { nonReasoningTierFields } from "./nonReasoningTierFields"; import { useComplexityScorerDefaults } from "@/app/(dashboard)/hooks/autoRouter/useComplexityScorerDefaults"; import { ClassificationFrequency, @@ -288,6 +289,7 @@ const ClassificationMethodConfig: React.FC = ({ : undefined, hybrid_boundary_margin: classifierType === "hybrid" ? value.hybrid_boundary_margin ?? DEFAULT_HYBRID_BOUNDARY_MARGIN : undefined, + ...nonReasoningTierFields(classifierType, value), }; onChange(nextValue); }; diff --git a/ui/litellm-dashboard/src/components/add_model/ClassifierPromptEditor.integration.test.tsx b/ui/litellm-dashboard/src/components/add_model/ClassifierPromptEditor.integration.test.tsx index 22720a01a6c..667ee8d6d43 100644 --- a/ui/litellm-dashboard/src/components/add_model/ClassifierPromptEditor.integration.test.tsx +++ b/ui/litellm-dashboard/src/components/add_model/ClassifierPromptEditor.integration.test.tsx @@ -1,6 +1,6 @@ import { fireEvent, renderWithProviders, screen } from "../../../tests/test-utils"; import userEvent from "@testing-library/user-event"; -import { vi } from "vitest"; +import { vi, type Mock } from "vitest"; import ClassifierPromptEditor from "./ClassifierPromptEditor"; import { ClassificationRubric } from "./ComplexityRouterConfig"; vi.mock( @@ -26,7 +26,7 @@ beforeEach(() => { interface OpenEditorOptions { systemPrompt?: string; - onChange?: ReturnType; + onChange?: Mock; contextWindowSize?: number; tierLabels?: Record; classificationRubric?: ClassificationRubric; diff --git a/ui/litellm-dashboard/src/components/add_model/ComplexityRouterConfig.test.tsx b/ui/litellm-dashboard/src/components/add_model/ComplexityRouterConfig.test.tsx index 0c12cc0ba1a..43f32f5bce1 100644 --- a/ui/litellm-dashboard/src/components/add_model/ComplexityRouterConfig.test.tsx +++ b/ui/litellm-dashboard/src/components/add_model/ComplexityRouterConfig.test.tsx @@ -1,7 +1,7 @@ import { fireEvent, renderWithProviders, screen, within } from "../../../tests/test-utils"; import userEvent from "@testing-library/user-event"; import React from "react"; -import { vi } from "vitest"; +import { vi, type Mock } from "vitest"; import ComplexityRouterConfig, { ComplexityRouterConfigValue } from "./ComplexityRouterConfig"; vi.mock( "@/app/(dashboard)/hooks/autoRouter/useComplexityScorerDefaults", @@ -102,7 +102,7 @@ describe("ComplexityRouterConfig", () => { renderWithProviders(); await user.click(screen.getByText("Advanced: Response Format")); - await user.click(screen.getByRole("switch")); + await user.click(screen.getByRole("switch", { name: "Return raw model name" })); expect(onChange).toHaveBeenCalledWith({ ...defaultValue, @@ -495,7 +495,7 @@ describe("ComplexityRouterConfig", () => { />, ); fireEvent.click(screen.getByText("Advanced: Keyword/Semantic Matching")); - await user.click(screen.getByRole("switch")); + await user.click(screen.getByRole("switch", { name: "Semantic keyword matching" })); expect(onSemanticMatchingEnabledChange).toHaveBeenCalledWith(true, expect.anything()); }); @@ -1701,7 +1701,7 @@ describe("classifier vision settings", () => { classifier_llm_config: { model: "gpt-3.5-turbo", timeout_ms: 3000 }, }; - const VisionFixture = ({ onChange = vi.fn() }: { onChange?: ReturnType }) => { + const VisionFixture = ({ onChange = vi.fn() }: { onChange?: Mock }) => { const [value, setValue] = React.useState(llmValue); return ( { - const builtIn = TIER_ORDER.find((tier) => tier === rowId); + const builtIn = ALL_BUILT_IN_TIERS.find((tier) => tier === rowId); return builtIn ? TIER_DESCRIPTIONS[builtIn] : undefined; }; -const tierConfigIntroText = (value: ComplexityRouterConfigValue): string => { - if (value.classifier_type === "heuristic_v2") { - return "The complexity router classifies each request with a calibrated local four-tier model (no API calls). Configure which model(s) handle each tier."; - } - if (heuristicScoringRole(value) === "never") { - return "The complexity router classifies each request with your classifier model and routes it to that tier. Configure which model(s) handle each tier."; - } - return "The complexity router automatically classifies requests by complexity using rule-based scoring (no API calls, <1ms latency). Configure which model(s) handle each tier."; -}; - -const TierConfigIntro: React.FC<{ value: ComplexityRouterConfigValue }> = ({ value }) => ( - <> - {tierConfigIntroText(value)} - - - {restrictedBy(value, "displayNames")?.reason ?? - "Rename a tier to use your own vocabulary in the dashboard and your spend logs. Renaming doesn't change how requests are classified, and callers never see these names."} - {!value.custom_tier_set && - usesLlmClassifier(value.classifier_type) && - " Your classifier model reads these names, so clearer ones can sharpen its choices."} - - -); - const TierSetToolbar: React.FC<{ editing: boolean; isCustomSet: boolean; @@ -379,6 +360,8 @@ export type ComplexityTierLabels = Partial export interface ComplexityRouterConfigValue { tiers: ComplexityTiers; + /** Opt into the NON_REASONING tier below SIMPLE; off keeps the four-tier ladder. */ + enable_non_reasoning_tier?: boolean; custom_tier_set?: CustomTierSet; tier_labels?: ComplexityTierLabels; /** An explicit pin. Unset means the default tracks the tiers - see resolveComplexityDefaultModel. */ @@ -500,6 +483,11 @@ export const TIER_DESCRIPTIONS: Record< keyof ComplexityTiers, { label: string; description: string; examples: string } > = { + NON_REASONING: { + label: "Non-reasoning", + description: "Operational relay work: passing information along with no judgment about it", + examples: '"Reformat this tool output", "Acknowledge the write succeeded"', + }, SIMPLE: { label: "Simple", description: "Basic questions, greetings, simple factual queries", @@ -536,7 +524,7 @@ export const DEFAULT_HYBRID_BOUNDARY_MARGIN = 0.03; * Tiers the heuristic_first threshold may name. The top tier is excluded because it would short * circuit every request and leave the classifier unreachable, which the backend rejects. */ -export const HEURISTIC_FIRST_MAX_TIER_KEYS = TIER_KEYS.slice(0, -1); +export const HEURISTIC_FIRST_MAX_TIER_KEYS = TIER_ORDER.slice(0, -1); const PlanModeOverrideControls: React.FC<{ value: ComplexityRouterConfigValue; @@ -668,6 +656,10 @@ const ComplexityRouterConfig: React.FC = ({ + {!customTierSet && ( + + )} + {tierRows.map((row, index) => { const tierInfo = builtInTierInfo(row.id); const label = tierRowLabel(row, value.tier_labels); diff --git a/ui/litellm-dashboard/src/components/add_model/KeywordTierRules.tsx b/ui/litellm-dashboard/src/components/add_model/KeywordTierRules.tsx index c8529e02139..47f6d89aed3 100644 --- a/ui/litellm-dashboard/src/components/add_model/KeywordTierRules.tsx +++ b/ui/litellm-dashboard/src/components/add_model/KeywordTierRules.tsx @@ -9,7 +9,7 @@ import React from "react"; import { emptyKeywordTierRuleIndexes } from "./complexity_router_keywords"; import { tierOptions } from "./complexity_router_tiers"; -export type ComplexityTier = "SIMPLE" | "MEDIUM" | "COMPLEX" | "REASONING"; +export type ComplexityTier = "NON_REASONING" | "SIMPLE" | "MEDIUM" | "COMPLEX" | "REASONING"; export interface KeywordTierRule { id: string; diff --git a/ui/litellm-dashboard/src/components/add_model/NonReasoningTierToggle.tsx b/ui/litellm-dashboard/src/components/add_model/NonReasoningTierToggle.tsx new file mode 100644 index 00000000000..5ca0d5517af --- /dev/null +++ b/ui/litellm-dashboard/src/components/add_model/NonReasoningTierToggle.tsx @@ -0,0 +1,49 @@ +import React from "react"; + +import { Separator } from "@/components/ui/separator"; +import { Switch } from "@/components/ui/switch"; + +import type { ComplexityRouterConfigValue } from "./ComplexityRouterConfig"; + +const NonReasoningTierToggle: React.FC<{ + value: ComplexityRouterConfigValue; + onChange: (value: ComplexityRouterConfigValue) => void; + available: boolean; +}> = ({ value, onChange, available }) => { + const handleToggle = (enabled: boolean): void => { + const { NON_REASONING: existingPool, ...keptTiers } = value.tiers; + // Turning it off must also release the plan-mode floor, which the backend rejects while it + // names an inactive tier. An orphaned keyword rule is left for the save gate to name. + const next: ComplexityRouterConfigValue = enabled + ? { ...value, enable_non_reasoning_tier: true, tiers: { ...keptTiers, NON_REASONING: existingPool ?? [] } } + : { + ...value, + enable_non_reasoning_tier: undefined, + tiers: keptTiers, + plan_mode_min_tier: value.plan_mode_min_tier === "NON_REASONING" ? undefined : value.plan_mode_min_tier, + }; + onChange(next); + }; + + return ( + <> +
+ + Add a non-reasoning tier +
+ + Adds NON_REASONING below Simple, for operational agent traffic that relays or reformats information rather than + reasoning about it. Escalation still moves up out of it when a request needs more. + {!available && " Requires the LLM classification method."} + + + + ); +}; + +export default NonReasoningTierToggle; diff --git a/ui/litellm-dashboard/src/components/add_model/TierConfigIntro.tsx b/ui/litellm-dashboard/src/components/add_model/TierConfigIntro.tsx new file mode 100644 index 00000000000..4b14307dda5 --- /dev/null +++ b/ui/litellm-dashboard/src/components/add_model/TierConfigIntro.tsx @@ -0,0 +1,30 @@ +import React from "react"; + +import { type ComplexityRouterConfigValue, heuristicScoringRole, usesLlmClassifier } from "./ComplexityRouterConfig"; +import { restrictedBy } from "./TierRestrictions"; + +const tierConfigIntroText = (value: ComplexityRouterConfigValue): string => { + if (value.classifier_type === "heuristic_v2") { + return "The complexity router classifies each request with a calibrated local four-tier model (no API calls). Configure which model(s) handle each tier."; + } + if (heuristicScoringRole(value) === "never") { + return "The complexity router classifies each request with your classifier model and routes it to that tier. Configure which model(s) handle each tier."; + } + return "The complexity router automatically classifies requests by complexity using rule-based scoring (no API calls, <1ms latency). Configure which model(s) handle each tier."; +}; + +const TierConfigIntro: React.FC<{ value: ComplexityRouterConfigValue }> = ({ value }) => ( + <> + {tierConfigIntroText(value)} + + + {restrictedBy(value, "displayNames")?.reason ?? + "Rename a tier to use your own vocabulary in the dashboard and your spend logs. Renaming doesn't change how requests are classified, and callers never see these names."} + {!value.custom_tier_set && + usesLlmClassifier(value.classifier_type) && + " Your classifier model reads these names, so clearer ones can sharpen its choices."} + + +); + +export default TierConfigIntro; diff --git a/ui/litellm-dashboard/src/components/add_model/add_auto_router_tab.tsx b/ui/litellm-dashboard/src/components/add_model/add_auto_router_tab.tsx index cf65a093dfb..d7c4a671317 100644 --- a/ui/litellm-dashboard/src/components/add_model/add_auto_router_tab.tsx +++ b/ui/litellm-dashboard/src/components/add_model/add_auto_router_tab.tsx @@ -377,6 +377,7 @@ const AddAutoRouterTab: React.FC = ({ const complexityRouterConfigParams: BuildComplexityRouterConfigParams = { tiers: complexityRouterConfig.tiers, + enableNonReasoningTier: complexityRouterConfig.enable_non_reasoning_tier, customTierSet: complexityRouterConfig.custom_tier_set, defaultModel: complexityRouterConfig.default_model, planModeMinTier: complexityRouterConfig.plan_mode_min_tier, diff --git a/ui/litellm-dashboard/src/components/add_model/build_complexity_router_config.ts b/ui/litellm-dashboard/src/components/add_model/build_complexity_router_config.ts index d04d48198a8..5b53941bc10 100644 --- a/ui/litellm-dashboard/src/components/add_model/build_complexity_router_config.ts +++ b/ui/litellm-dashboard/src/components/add_model/build_complexity_router_config.ts @@ -128,6 +128,7 @@ const scorerKnobPayload = ({ export interface BuildComplexityRouterConfigParams { tiers: ComplexityTiers; + enableNonReasoningTier?: boolean; customTierSet?: CustomTierSet; defaultModel: string | undefined; planModeMinTier: string | undefined; @@ -190,6 +191,7 @@ export interface TierDefinitionPayload { export interface ComplexityRouterConfigPayload { tiers: ComplexityTiers | Record; + enable_non_reasoning_tier?: boolean; tier_definitions?: TierDefinitionPayload[]; fallback_tier?: string; default_model?: string; @@ -383,6 +385,26 @@ export const customTierWireFields = ( }; }; +/** The built-in tier pools and the opt-in flag, read back from a stored config. `tiers` is + * rewritten wholesale on save, so a stored tier this misses is deleted by any unrelated edit. */ +export const hydrateBuiltInTiers = ( + storedTiers: Partial> | undefined, + storedFlag: boolean | undefined, +): { tiers: ComplexityTiers; enable_non_reasoning_tier: boolean } => { + const nonReasoning: string[] = normalizeTierModels(storedTiers?.NON_REASONING); + const enable_non_reasoning_tier: boolean = storedFlag === true || nonReasoning.length > 0; + return { + enable_non_reasoning_tier, + tiers: { + SIMPLE: normalizeTierModels(storedTiers?.SIMPLE), + MEDIUM: normalizeTierModels(storedTiers?.MEDIUM), + COMPLEX: normalizeTierModels(storedTiers?.COMPLEX), + REASONING: normalizeTierModels(storedTiers?.REASONING), + ...(enable_non_reasoning_tier && { NON_REASONING: nonReasoning }), + }, + }; +}; + // plan_mode_min_tier rides the strip list because the base payload carries it as a row id; // customTierWireFields re-emits it as the row's name, and an unresolvable floor stays off. const CUSTOM_TIER_STRIPPED_KEYS: readonly string[] = [...CUSTOM_TIER_OMITTED_KEYS, "plan_mode_min_tier"]; @@ -471,6 +493,7 @@ const classifierWireFields = ( export const buildComplexityRouterConfig = ({ tiers, + enableNonReasoningTier, customTierSet, defaultModel, planModeMinTier, @@ -548,6 +571,8 @@ export const buildComplexityRouterConfig = ({ const payload: ComplexityRouterConfigPayload = { tiers, + // The backend rejects the flag beside a custom tier set. + ...(!customTierSet && enableNonReasoningTier && { enable_non_reasoning_tier: true }), ...(serializedTierModelConfigs && { tier_model_configs: serializedTierModelConfigs }), ...(defaultModel?.trim() && { default_model: defaultModel }), ...(planModeMinTier?.trim() && { plan_mode_min_tier: planModeMinTier }), diff --git a/ui/litellm-dashboard/src/components/add_model/complexity_router_tiers.ts b/ui/litellm-dashboard/src/components/add_model/complexity_router_tiers.ts index eb58c94b789..3fec63518e5 100644 --- a/ui/litellm-dashboard/src/components/add_model/complexity_router_tiers.ts +++ b/ui/litellm-dashboard/src/components/add_model/complexity_router_tiers.ts @@ -1,6 +1,6 @@ import type { ComplexityTier } from "./KeywordTierRules"; import type { ModelGroup } from "@/components/llm_calls/fetch_models"; -import { TIER_ORDER } from "./tier_rows"; +import { ALL_BUILT_IN_TIERS, TIER_ORDER } from "./tier_rows"; export type TierModelParams = Record; @@ -145,13 +145,14 @@ export const pruneTierModelParams = ( }; export const DEFAULT_TIER_LABELS: Record = { + NON_REASONING: "Non-reasoning", SIMPLE: "Simple", MEDIUM: "Medium", COMPLEX: "Complex", REASONING: "Reasoning", }; -const isBuiltInTier = (tier: string): tier is ComplexityTier => (TIER_ORDER as string[]).includes(tier); +const isBuiltInTier = (tier: string): tier is ComplexityTier => (ALL_BUILT_IN_TIERS as string[]).includes(tier); const builtInTierLabel = ( tierLabels: Partial> | undefined, @@ -164,7 +165,7 @@ export const tierRowLabel = ( row: { id: string; name: string }, tierLabels?: Partial>, ): string => { - const builtIn = TIER_ORDER.find((tier) => tier === row.id); + const builtIn = ALL_BUILT_IN_TIERS.find((tier) => tier === row.id); const named = row.name.trim(); if (!builtIn || named !== builtIn) return named || "New"; return builtInTierLabel(tierLabels, builtIn); diff --git a/ui/litellm-dashboard/src/components/add_model/nonReasoningTierFields.test.ts b/ui/litellm-dashboard/src/components/add_model/nonReasoningTierFields.test.ts new file mode 100644 index 00000000000..c09c859ac27 --- /dev/null +++ b/ui/litellm-dashboard/src/components/add_model/nonReasoningTierFields.test.ts @@ -0,0 +1,71 @@ +import { describe, expect, it } from "vitest"; + +import type { ComplexityRouterConfigValue } from "./ComplexityRouterConfig"; +import { nonReasoningTierFields } from "./nonReasoningTierFields"; + +const enabledValue: ComplexityRouterConfigValue = { + classifier_type: "llm", + enable_non_reasoning_tier: true, + tiers: { + NON_REASONING: ["relay-cheap"], + SIMPLE: ["gpt-4o-mini"], + MEDIUM: ["gpt-4o"], + COMPLEX: ["sonnet"], + REASONING: ["opus"], + }, +}; + +describe("nonReasoningTierFields", () => { + it("keeps the tier and its pool while the classifier stays LLM", () => { + expect(nonReasoningTierFields("llm", enabledValue)).toEqual({ + enable_non_reasoning_tier: true, + tiers: enabledValue.tiers, + }); + }); + + it.each(["heuristic", "heuristic_v2", "heuristic_first", "hybrid"] as const)( + "clears the flag and the tier when the classifier becomes %s", + (classifierType) => { + // Leaving the flag set under a classifier that cannot emit the tier is a config the backend + // refuses, and the switch is disabled there, so the operator could never undo it. + const cleared = nonReasoningTierFields(classifierType, enabledValue); + expect(cleared.enable_non_reasoning_tier).toBeUndefined(); + expect(cleared.tiers).not.toHaveProperty("NON_REASONING"); + }, + ); + + it("leaves the other tiers untouched when it clears", () => { + const { NON_REASONING: _dropped, ...expectedTiers } = enabledValue.tiers; + expect(nonReasoningTierFields("heuristic", enabledValue).tiers).toEqual(expectedTiers); + }); + + it("is a no-op for a router that never enabled the tier", () => { + const fourTier: ComplexityRouterConfigValue = { + classifier_type: "heuristic", + tiers: { SIMPLE: ["gpt-4o-mini"], MEDIUM: ["gpt-4o"], COMPLEX: ["sonnet"], REASONING: ["opus"] }, + }; + expect(nonReasoningTierFields("heuristic", fourTier)).toEqual({ + enable_non_reasoning_tier: undefined, + tiers: fourTier.tiers, + }); + }); +}); + +describe("stale references to the cleared tier", () => { + const withFloorOnTierZero: ComplexityRouterConfigValue = { ...enabledValue, plan_mode_min_tier: "NON_REASONING" }; + + it("releases a plan-mode floor pointing at the tier it just cleared", () => { + // The backend rejects a floor naming an inactive tier, and the switch is disabled once the + // classifier changes, so a floor left behind is a config the operator cannot save or undo. + expect(nonReasoningTierFields("heuristic", withFloorOnTierZero).plan_mode_min_tier).toBeUndefined(); + }); + + it("leaves a floor on another tier alone", () => { + const floorOnComplex: ComplexityRouterConfigValue = { ...enabledValue, plan_mode_min_tier: "COMPLEX" }; + expect(nonReasoningTierFields("heuristic", floorOnComplex).plan_mode_min_tier).toBe("COMPLEX"); + }); + + it("keeps the floor while the classifier can still emit the tier", () => { + expect(nonReasoningTierFields("llm", withFloorOnTierZero).plan_mode_min_tier).toBe("NON_REASONING"); + }); +}); diff --git a/ui/litellm-dashboard/src/components/add_model/nonReasoningTierFields.ts b/ui/litellm-dashboard/src/components/add_model/nonReasoningTierFields.ts new file mode 100644 index 00000000000..92a665a199c --- /dev/null +++ b/ui/litellm-dashboard/src/components/add_model/nonReasoningTierFields.ts @@ -0,0 +1,28 @@ +import type { ClassifierType, ComplexityRouterConfigValue } from "./ComplexityRouterConfig"; + +const NON_REASONING = "NON_REASONING"; + +/** The NON_REASONING keys a classifier switch carries forward, or clears for a classifier that + * cannot emit the tier. Leaving them set there is a config the backend refuses on save. The floor + * goes with them: it is rejected on save while it names an inactive tier, and the switch is + * disabled once the classifier changes, so the operator could not clear it themselves. + * An orphaned keyword rule is left for getKeywordTierRulesError to name, matching how a removed + * custom tier already behaves. */ +export const nonReasoningTierFields = ( + classifierType: ClassifierType, + value: ComplexityRouterConfigValue, +): Pick => { + if (classifierType === "llm") { + return { + enable_non_reasoning_tier: value.enable_non_reasoning_tier, + tiers: value.tiers, + plan_mode_min_tier: value.plan_mode_min_tier, + }; + } + const { [NON_REASONING]: _cleared, ...tiers } = value.tiers; + return { + enable_non_reasoning_tier: undefined, + tiers, + plan_mode_min_tier: value.plan_mode_min_tier === NON_REASONING ? undefined : value.plan_mode_min_tier, + }; +}; diff --git a/ui/litellm-dashboard/src/components/add_model/tier_rows.test.ts b/ui/litellm-dashboard/src/components/add_model/tier_rows.test.ts index df50f116f60..872e8850d91 100644 --- a/ui/litellm-dashboard/src/components/add_model/tier_rows.test.ts +++ b/ui/litellm-dashboard/src/components/add_model/tier_rows.test.ts @@ -168,3 +168,41 @@ describe("tierParamsByRowId", () => { expect(tierParamsByRowId(undefined, rows)).toBeUndefined(); }); }); + +describe("the opt-in non-reasoning tier", () => { + const withTierZero = { SIMPLE: ["a"], MEDIUM: ["b"], COMPLEX: ["c"], REASONING: ["d"], NON_REASONING: ["cheap"] }; + + it("renders no fifth row while the toggle is off", () => { + // The regression for every existing router: the tier exists in the type, and the form must + // still show the four rows it always showed. + expect(activeTierRows({ tiers: withTierZero }).map((row) => row.id)).toEqual([ + "SIMPLE", + "MEDIUM", + "COMPLEX", + "REASONING", + ]); + }); + + it("renders it first, as tier 0, when enabled", () => { + const rows = activeTierRows({ tiers: withTierZero, enable_non_reasoning_tier: true }); + expect(rows.map((row) => row.id)).toEqual(["NON_REASONING", "SIMPLE", "MEDIUM", "COMPLEX", "REASONING"]); + expect(rows[0].models).toEqual(["cheap"]); + }); + + it("renders an enabled tier with no models as an empty row rather than crashing", () => { + const emptyTierZeroRow: ActiveTierRow = { + id: "NON_REASONING", + name: "NON_REASONING", + definition: "", + models: [], + params: {}, + }; + const rows = activeTierRows({ tiers, enable_non_reasoning_tier: true }); + expect(rows[0]).toEqual(emptyTierZeroRow); + }); + + it("counts as a built-in name either way, so a custom set cannot claim the name", () => { + expect(isBuiltInTierName("NON_REASONING")).toBe(true); + expect(isBuiltInTierName("non_reasoning")).toBe(true); + }); +}); diff --git a/ui/litellm-dashboard/src/components/add_model/tier_rows.ts b/ui/litellm-dashboard/src/components/add_model/tier_rows.ts index d2cec15d75b..3111c7a2bb3 100644 --- a/ui/litellm-dashboard/src/components/add_model/tier_rows.ts +++ b/ui/litellm-dashboard/src/components/add_model/tier_rows.ts @@ -4,6 +4,12 @@ import type { TierModelParams, TierModelParamsByTier } from "./complexity_router export const TIER_ORDER: ComplexityTier[] = ["SIMPLE", "MEDIUM", "COMPLEX", "REASONING"]; +export const ALL_BUILT_IN_TIERS: ComplexityTier[] = ["NON_REASONING", ...TIER_ORDER]; + +/** The ladder one router renders, ascending; NON_REASONING appears only when enabled. */ +export const tierOrderFor = (enableNonReasoningTier: boolean | undefined): ComplexityTier[] => + enableNonReasoningTier ? ALL_BUILT_IN_TIERS : TIER_ORDER; + export interface TierRow { id: string; name: string; @@ -27,6 +33,7 @@ export const MAX_TIER_DEFINITION_CHARS = 500; export interface ActiveTierSet { tiers: ComplexityTiers; + enable_non_reasoning_tier?: boolean; custom_tier_set?: CustomTierSet; tier_model_params?: TierModelParamsByTier; } @@ -39,7 +46,8 @@ export const activeTierName = (row: TierRow): string => row.name.trim(); export const sameTierIdentity = (left: string, right: string): boolean => left.trim().toLowerCase() === right.trim().toLowerCase(); -export const isBuiltInTierName = (name: string): boolean => TIER_ORDER.some((tier) => sameTierIdentity(tier, name)); +export const isBuiltInTierName = (name: string): boolean => + ALL_BUILT_IN_TIERS.some((tier) => sameTierIdentity(tier, name)); const builtInRow = (tier: keyof ComplexityTiers, tiers: ComplexityTiers): TierRow => ({ id: tier, @@ -51,7 +59,9 @@ const builtInRow = (tier: keyof ComplexityTiers, tiers: ComplexityTiers): TierRo // The only reader of the tier set. Built-in rows carry the canonical tier key as their id, so every // pointer into the set is a row id in both modes and nothing downstream branches on the mode. export const activeTierRows = (value: ActiveTierSet): ActiveTierRow[] => { - const rows = value.custom_tier_set?.tiers ?? TIER_ORDER.map((tier) => builtInRow(tier, value.tiers)); + const rows = + value.custom_tier_set?.tiers ?? + tierOrderFor(value.enable_non_reasoning_tier).map((tier) => builtInRow(tier, value.tiers)); return rows.map((row) => ({ ...row, params: value.tier_model_params?.[row.id] ?? {} })); }; diff --git a/ui/litellm-dashboard/src/components/add_model/tier_set_actions.ts b/ui/litellm-dashboard/src/components/add_model/tier_set_actions.ts index c8254b6bff9..f737e0fdff6 100644 --- a/ui/litellm-dashboard/src/components/add_model/tier_set_actions.ts +++ b/ui/litellm-dashboard/src/components/add_model/tier_set_actions.ts @@ -4,11 +4,12 @@ import { pruneTierModelParams } from "./complexity_router_tiers"; import { type ActiveTierRow, type TierRow, - TIER_ORDER, + ALL_BUILT_IN_TIERS, activeTierName, activeTierRows, rowParamsByTier, sameTierIdentity, + tierOrderFor, tierRowById, tierRowByName, } from "./tier_rows"; @@ -74,13 +75,13 @@ const rulesFollowingRows = ( // Models and params both come from these rows, so the two cannot be keyed differently. const exitToBuiltInTiers = (value: ComplexityRouterConfigValue, rows: readonly ActiveTierRow[]) => { const { custom_tier_set: _dropped, ...rest } = value; - const builtInRows: ActiveTierRow[] = TIER_ORDER.map( + const builtInRows: ActiveTierRow[] = tierOrderFor(value.enable_non_reasoning_tier).map( (tier) => tierRowById(rows, tier) ?? { id: tier, name: tier, definition: "", - models: value.tiers[tier], + models: value.tiers[tier] ?? [], params: value.tier_model_params?.[tier] ?? {}, }, ); @@ -121,7 +122,7 @@ const nextTierSetValue = ( case "remove": { const removed = tierRowById(rows, action.id); const snapshot = - removed && (TIER_ORDER as string[]).includes(action.id) + removed && (ALL_BUILT_IN_TIERS as string[]).includes(action.id) ? { ...value, tiers: { ...value.tiers, [action.id]: removed.models } } : value; return commitTierRows( diff --git a/ui/litellm-dashboard/src/components/callback_info_helpers.tsx b/ui/litellm-dashboard/src/components/callback_info_helpers.tsx index 4b6f6233fe8..dfa35de1b34 100644 --- a/ui/litellm-dashboard/src/components/callback_info_helpers.tsx +++ b/ui/litellm-dashboard/src/components/callback_info_helpers.tsx @@ -158,6 +158,7 @@ export const CALLBACK_CONFIGS: CallbackConfig[] = [ dynamic_params: { otel_endpoint: "text", otel_headers: "text", + otel_exporter_otlp_protocol: "select", }, description: "OpenTelemetry Logging Integration", }, diff --git a/ui/litellm-dashboard/src/components/edit_auto_router/build_updated_complexity_router_config.test.ts b/ui/litellm-dashboard/src/components/edit_auto_router/build_updated_complexity_router_config.test.ts index 4a57e9d5e13..3899361cd17 100644 --- a/ui/litellm-dashboard/src/components/edit_auto_router/build_updated_complexity_router_config.test.ts +++ b/ui/litellm-dashboard/src/components/edit_auto_router/build_updated_complexity_router_config.test.ts @@ -647,6 +647,10 @@ describe("managed keys survive an untouched open-and-save", () => { "stall_escalation_repeat_threshold", ]); + // The opt-in fifth tier requires the LLM classifier, which this heuristic_first fixture is not, + // so it gets its own round trip below. + const KEYS_ANOTHER_TIER_LADDER_OWNS = new Set(["enable_non_reasoning_tier"]); + it("carries every managed key a built-in router can hold through hydrate then save", () => { const hydrated = hydrateComplexityRouterConfig(STORED_ALL_MANAGED, undefined); const saved = buildUpdatedComplexityRouterConfig(STORED_ALL_MANAGED, hydrated); @@ -654,10 +658,55 @@ describe("managed keys survive an untouched open-and-save", () => { const dropped = [...MANAGED_COMPLEXITY_ROUTER_KEYS] .filter((key) => !KEYS_ANOTHER_CLASSIFIER_TYPE_OWNS.has(key)) .filter((key) => !KEYS_ANOTHER_CLASSIFICATION_FREQUENCY_OWNS.has(key)) + .filter((key) => !KEYS_ANOTHER_TIER_LADDER_OWNS.has(key)) .filter((key) => saved[key] === undefined); expect(dropped).toEqual([]); }); + it("carries an enabled non-reasoning tier and its models through their own round trip", () => { + // `tiers` is rewritten wholesale on save, so this is the regression that matters: opening an + // enabled router and saving an unrelated edit must not delete the tier or its pool. + const stored: Record = { + ...STORED_ALL_MANAGED, + classifier_type: "llm", + classifier_llm_config: { model: "haiku-classifier" }, + heuristic_first_max_tier: undefined, + enable_non_reasoning_tier: true, + tiers: { ...(STORED_ALL_MANAGED.tiers as object), NON_REASONING: ["gpt-4o-mini"] }, + }; + const hydrated = hydrateComplexityRouterConfig(stored, undefined); + const saved = buildUpdatedComplexityRouterConfig(stored, hydrated); + + expect(saved.enable_non_reasoning_tier).toBe(true); + expect((saved.tiers as Record).NON_REASONING).toEqual(["gpt-4o-mini"]); + }); + + it("keeps a stored non-reasoning tier when the stored config never wrote the flag", () => { + // A hand-written config that names the tier: the flag is inferred from the stored pool, so an + // edit made for an unrelated reason cannot silently turn the tier off. + const stored: Record = { + ...STORED_ALL_MANAGED, + classifier_type: "llm", + classifier_llm_config: { model: "haiku-classifier" }, + heuristic_first_max_tier: undefined, + tiers: { ...(STORED_ALL_MANAGED.tiers as object), NON_REASONING: ["gpt-4o-mini"] }, + }; + const saved = buildUpdatedComplexityRouterConfig(stored, hydrateComplexityRouterConfig(stored, undefined)); + + expect(saved.enable_non_reasoning_tier).toBe(true); + expect((saved.tiers as Record).NON_REASONING).toEqual(["gpt-4o-mini"]); + }); + + it("leaves the tier and its flag out of a saved config that never had it on", () => { + const saved = buildUpdatedComplexityRouterConfig( + STORED_ALL_MANAGED, + hydrateComplexityRouterConfig(STORED_ALL_MANAGED, undefined), + ); + + expect(saved).not.toHaveProperty("enable_non_reasoning_tier"); + expect(saved.tiers).not.toHaveProperty("NON_REASONING"); + }); + it("carries the stall-escalation keys through their own round trip", () => { const stored: Record = { ...STORED_ALL_MANAGED, diff --git a/ui/litellm-dashboard/src/components/edit_auto_router/edit_auto_router_modal.tsx b/ui/litellm-dashboard/src/components/edit_auto_router/edit_auto_router_modal.tsx index b23040ab80c..8a62e86e842 100644 --- a/ui/litellm-dashboard/src/components/edit_auto_router/edit_auto_router_modal.tsx +++ b/ui/litellm-dashboard/src/components/edit_auto_router/edit_auto_router_modal.tsx @@ -14,7 +14,7 @@ import ModelChoiceCombobox, { type ModelChoice } from "../add_model/ModelChoiceC import { modelAvailableCall, modelPatchUpdateCall, validateAutoRouterConfig } from "../networking"; import { fetchAvailableModels, ModelGroup } from "@/components/llm_calls/fetch_models"; import RouterConfigBuilder from "../add_model/RouterConfigBuilder"; -import { hydrateTierModelParams, normalizeTierModels } from "../add_model/complexity_router_tiers"; +import { hydrateTierModelParams } from "../add_model/complexity_router_tiers"; import { type ActiveTierSet, CUSTOM_TIER_OMITTED_KEYS, @@ -34,6 +34,7 @@ import { getSemanticConfigError, getPlanModeTierError, getTierLabelsError, + hydrateBuiltInTiers, hydrateCustomTierSet, hydratePlanModeMinTier, hydrateTierLabels, @@ -93,6 +94,7 @@ interface EditAutoRouterModalProps { * hydrators validate themselves stay `unknown`; the ones assigned straight through carry their type. */ export interface StoredComplexityRouterConfig { tiers?: Partial>; + enable_non_reasoning_tier?: boolean; tier_model_configs?: unknown; default_model?: string | null; plan_mode_min_tier?: unknown; @@ -138,18 +140,14 @@ export const hydrateComplexityRouterConfig = ( parsedConfig: StoredComplexityRouterConfig, complexityRouterDefaultModel: string | null | undefined, ): ComplexityRouterConfigValue => { - const hydratedTiers: ComplexityTiers = { - SIMPLE: normalizeTierModels(parsedConfig.tiers?.SIMPLE), - MEDIUM: normalizeTierModels(parsedConfig.tiers?.MEDIUM), - COMPLEX: normalizeTierModels(parsedConfig.tiers?.COMPLEX), - REASONING: normalizeTierModels(parsedConfig.tiers?.REASONING), - }; - + const builtIn = hydrateBuiltInTiers(parsedConfig.tiers, parsedConfig.enable_non_reasoning_tier); + const { tiers: hydratedTiers, enable_non_reasoning_tier } = builtIn; const custom_tier_set = hydrateCustomTierSet(parsedConfig); - const activeTiers = { tiers: hydratedTiers, custom_tier_set }; + const activeTiers = { ...builtIn, custom_tier_set }; return { tiers: hydratedTiers, + enable_non_reasoning_tier, custom_tier_set, tier_model_params: tierParamsByRowId( hydrateTierModelParams(parsedConfig.tiers, parsedConfig.tier_model_configs), @@ -238,6 +236,7 @@ export const hydrateComplexityRouterConfig = ( export const MANAGED_COMPLEXITY_ROUTER_KEYS = new Set([ "tiers", + "enable_non_reasoning_tier", "tier_definitions", "fallback_tier", "tier_model_configs", @@ -344,6 +343,7 @@ export const buildUpdatedComplexityRouterConfig = ( const builderParams: BuildComplexityRouterConfigParams = { tiers: value.tiers, + enableNonReasoningTier: value.enable_non_reasoning_tier, customTierSet: value.custom_tier_set, defaultModel: value.default_model, planModeMinTier: value.plan_mode_min_tier, diff --git a/ui/litellm-dashboard/src/components/llm_calls/chat_completion.test.tsx b/ui/litellm-dashboard/src/components/llm_calls/chat_completion.test.tsx index bc4b4e3a351..08b02cacb21 100644 --- a/ui/litellm-dashboard/src/components/llm_calls/chat_completion.test.tsx +++ b/ui/litellm-dashboard/src/components/llm_calls/chat_completion.test.tsx @@ -20,7 +20,9 @@ const mockClient = { vi.mock("openai", () => ({ default: { - OpenAI: vi.fn(() => mockClient), + OpenAI: vi.fn(function () { + return mockClient; + }), }, })); diff --git a/ui/litellm-dashboard/src/components/llm_calls/responses_api.test.tsx b/ui/litellm-dashboard/src/components/llm_calls/responses_api.test.tsx index 0b94c093acd..ae5e224cfbf 100644 --- a/ui/litellm-dashboard/src/components/llm_calls/responses_api.test.tsx +++ b/ui/litellm-dashboard/src/components/llm_calls/responses_api.test.tsx @@ -16,7 +16,9 @@ const mockClient = { vi.mock("openai", () => ({ default: { - OpenAI: vi.fn(() => mockClient), + OpenAI: vi.fn(function () { + return mockClient; + }), }, })); diff --git a/ui/litellm-dashboard/src/components/organization/org-create/OrgCreateDialog.test.tsx b/ui/litellm-dashboard/src/components/organization/org-create/OrgCreateDialog.test.tsx index 3ffb11fb90d..22b9dd26732 100644 --- a/ui/litellm-dashboard/src/components/organization/org-create/OrgCreateDialog.test.tsx +++ b/ui/litellm-dashboard/src/components/organization/org-create/OrgCreateDialog.test.tsx @@ -2,7 +2,7 @@ import { QueryClient, QueryClientProvider } from "@tanstack/react-query"; import { render, screen, waitFor } from "@testing-library/react"; import userEvent from "@testing-library/user-event"; import React from "react"; -import { describe, expect, it, vi } from "vitest"; +import { describe, expect, it, vi, type Mock } from "vitest"; vi.mock("@/components/ModelSelect/ModelSelect", () => ({ ModelSelect: ({ onChange }: { onChange: (values: string[]) => void }) => ( @@ -46,7 +46,7 @@ const Harness = ({ createOrganization }: { createOrganization: (body: unknown) = ); }; -const renderDialog = (overrides?: { createOrganization?: ReturnType }) => { +const renderDialog = (overrides?: { createOrganization?: Mock }) => { const createOrganization = overrides?.createOrganization ?? vi.fn().mockResolvedValue({}); const queryClient = new QueryClient({ defaultOptions: { queries: { retry: false } } }); render( diff --git a/ui/litellm-dashboard/src/components/organization/org-settings/OrgSettingsForm.test.tsx b/ui/litellm-dashboard/src/components/organization/org-settings/OrgSettingsForm.test.tsx index 5633424902d..5eaeed7b531 100644 --- a/ui/litellm-dashboard/src/components/organization/org-settings/OrgSettingsForm.test.tsx +++ b/ui/litellm-dashboard/src/components/organization/org-settings/OrgSettingsForm.test.tsx @@ -2,7 +2,7 @@ import { QueryClient, QueryClientProvider } from "@tanstack/react-query"; import { fireEvent, render, screen, waitFor } from "@testing-library/react"; import userEvent from "@testing-library/user-event"; import React from "react"; -import { describe, expect, it, vi } from "vitest"; +import { describe, expect, it, vi, type Mock } from "vitest"; vi.mock("@/components/ModelSelect/ModelSelect", () => ({ ModelSelect: ({ onChange }: { onChange: (values: string[]) => void }) => ( @@ -67,11 +67,7 @@ const org: Organization = { }, }; -const renderForm = (overrides?: { - patchOrganization?: ReturnType; - onSaved?: () => void; - org?: Organization; -}) => { +const renderForm = (overrides?: { patchOrganization?: Mock; onSaved?: () => void; org?: Organization }) => { const patchOrganization = overrides?.patchOrganization ?? vi.fn().mockResolvedValue({}); const onSaved = overrides?.onSaved ?? vi.fn(); const queryClient = new QueryClient({ defaultOptions: { queries: { retry: false } } }); diff --git a/ui/litellm-dashboard/src/components/price_data_reload.test.tsx b/ui/litellm-dashboard/src/components/price_data_reload.test.tsx index 01381df1620..4828d557053 100644 --- a/ui/litellm-dashboard/src/components/price_data_reload.test.tsx +++ b/ui/litellm-dashboard/src/components/price_data_reload.test.tsx @@ -32,8 +32,16 @@ const remoteSource = { url: "https://pricing.example.test/model_prices.json", is_env_forced: false, fallback_reason: null, + loaded_at: null, + source_revision: null, + etag: null, model_count: 1234, }; +const provenance = { + loaded_at: "2026-09-07T10:00:00Z", + source_revision: "4273ec544726bf255ea920533e209e6022653bb4", + etag: 'W/"eb8e9a53f4cc284b"', +}; describe("PriceDataReload", () => { beforeEach(() => { @@ -51,6 +59,43 @@ describe("PriceDataReload", () => { expect(screen.getByText("No periodic reload scheduled")).toBeInTheDocument(); }); + it("shows which revision of the cost map is loaded when the source reports one", async () => { + vi.mocked(getModelCostMapSource).mockResolvedValue({ ...remoteSource, ...provenance } as never); + render(); + + expect(await screen.findByText("Source revision:")).toBeInTheDocument(); + expect(screen.getByText("4273ec544726")).toBeInTheDocument(); + expect(screen.getByText("ETag:")).toBeInTheDocument(); + expect(screen.getByText('W/"eb8e9a53f4cc284b"')).toBeInTheDocument(); + expect(screen.getByText("Loaded at:")).toBeInTheDocument(); + expect(screen.getByText(/worker that answered this request/)).toBeInTheDocument(); + expect(screen.getByText(/Last run time is the latest reload any worker recorded/)).toBeInTheDocument(); + expect(screen.getByText(new Date(provenance.loaded_at).toLocaleString())).toBeInTheDocument(); + }); + + it("shows a malformed loaded_at as-is instead of Invalid Date", async () => { + vi.mocked(getModelCostMapSource).mockResolvedValue({ + ...remoteSource, + ...provenance, + loaded_at: "yesterday-ish", + } as never); + render(); + + expect(await screen.findByText("Loaded at:")).toBeInTheDocument(); + expect(screen.getByText("yesterday-ish")).toBeInTheDocument(); + expect(screen.queryByText("Invalid Date")).not.toBeInTheDocument(); + }); + + it("hides the provenance rows when the loaded map carries no stamp", async () => { + render(); + + expect(await screen.findByText("Pricing Data Source")).toBeInTheDocument(); + expect(screen.queryByText("Source revision:")).not.toBeInTheDocument(); + expect(screen.queryByText("ETag:")).not.toBeInTheDocument(); + expect(screen.queryByText("Loaded at:")).not.toBeInTheDocument(); + expect(screen.queryByText(/worker that answered this request/)).not.toBeInTheDocument(); + }); + it("confirms an immediate reload and refreshes dependent data", async () => { const user = userEvent.setup(); const onReloadSuccess = vi.fn(); diff --git a/ui/litellm-dashboard/src/components/price_data_reload.tsx b/ui/litellm-dashboard/src/components/price_data_reload.tsx index 1c6801eede2..bd2fb6721e0 100644 --- a/ui/litellm-dashboard/src/components/price_data_reload.tsx +++ b/ui/litellm-dashboard/src/components/price_data_reload.tsx @@ -49,9 +49,16 @@ interface CostMapSourceInfo { url: string | null; is_env_forced: boolean; fallback_reason: string | null; + loaded_at: string | null; + source_revision: string | null; + etag: string | null; model_count: number; } +const SHORT_REVISION_LENGTH = 12; + +const shortRevision = (revision: string) => revision.slice(0, SHORT_REVISION_LENGTH); + const EMPTY_RELOAD_STATUS: ReloadStatus = { scheduled: false, interval_hours: null, @@ -89,6 +96,55 @@ const isValidReloadInterval = (value: number) => { return value >= 1 && value <= 168; }; +const formatDateTime = (dateTimeString: string | null) => { + if (!dateTimeString) return "Never"; + const parsed = new Date(dateTimeString); + return Number.isNaN(parsed.getTime()) ? dateTimeString : parsed.toLocaleString(); +}; + +const CostMapProvenanceRows: React.FC<{ sourceInfo: CostMapSourceInfo }> = ({ sourceInfo }) => ( + <> + {sourceInfo.source_revision && ( +
+ Source revision: + + }> + {shortRevision(sourceInfo.source_revision)} + + {sourceInfo.source_revision} + +
+ )} + + {sourceInfo.etag && ( +
+ ETag: + + }>{sourceInfo.etag} + {sourceInfo.etag} + +
+ )} + + {sourceInfo.loaded_at && ( +
+ Loaded at: + {formatDateTime(sourceInfo.loaded_at)} +
+ )} + + {sourceInfo.loaded_at && ( +
+ + + Reported by the worker that answered this request. Other workers pick up a reload on their next poll, and the + Last run time is the latest reload any worker recorded + +
+ )} + +); + const PriceDataReload: React.FC = ({ accessToken, onReloadSuccess, @@ -227,15 +283,6 @@ const PriceDataReload: React.FC = ({ } }; - const formatDateTime = (dateTimeString: string | null) => { - if (!dateTimeString) return "Never"; - try { - return new Date(dateTimeString).toLocaleString(); - } catch { - return dateTimeString; - } - }; - const getStatusText = () => { if (!reloadStatus?.scheduled) return "Not scheduled"; if (!reloadStatus.last_run) return "Ready"; @@ -334,6 +381,8 @@ const PriceDataReload: React.FC = ({ )} + + {sourceInfo.is_env_forced && (
diff --git a/ui/litellm-dashboard/src/components/settings.test.tsx b/ui/litellm-dashboard/src/components/settings.test.tsx index 762b23f413e..08cb9550646 100644 --- a/ui/litellm-dashboard/src/components/settings.test.tsx +++ b/ui/litellm-dashboard/src/components/settings.test.tsx @@ -219,6 +219,89 @@ describe("Settings", () => { expect(vi.mocked(setCallbacksCall)).not.toHaveBeenCalled(); }); + const mockOtelCallback = (variables: Record) => { + mockGetCallbacksCall.mockResolvedValue({ + callbacks: [{ name: "otel", variables }], + available_callbacks: { + otel: { + litellm_callback_name: "otel", + litellm_callback_params: ["OTEL_EXPORTER", "OTEL_EXPORTER_OTLP_PROTOCOL", "OTEL_ENDPOINT", "OTEL_HEADERS"], + ui_callback_name: "OpenTelemetry", + }, + }, + alerts: [], + }); + mockGetCallbackConfigsCall.mockResolvedValue([ + { + id: "otel", + displayName: "Open Telemetry", + dynamic_params: { + otel_endpoint: { type: "text", ui_name: "Endpoint URL", required: true }, + otel_exporter_otlp_protocol: { + type: "select", + ui_name: "Export Protocol", + options: ["http/protobuf", "http/json"], + required: false, + }, + }, + }, + ]); + }; + + const openOtelEditModal = async () => { + const user = userEvent.setup(); + render(); + await user.click(await screen.findByTestId("callback-actions-otel-success")); + await user.click(await screen.findByTestId("callback-action-edit")); + return user; + }; + + it("should post the chosen export protocol when a select dynamic param is saved", async () => { + mockOtelCallback({ OTEL_ENDPOINT: "http://collector:4318" }); + const user = await openOtelEditModal(); + + expect(await screen.findByLabelText("Endpoint URL")).toHaveValue("http://collector:4318"); + await user.click(screen.getByLabelText("Export Protocol")); + await user.click(await screen.findByRole("option", { name: "http/json" })); + expect(screen.getByLabelText("Export Protocol")).toHaveTextContent("http/json"); + + await user.click(within(screen.getByRole("dialog")).getByRole("button", { name: "Save Changes" })); + + await waitFor(() => { + expect(vi.mocked(setCallbacksCall)).toHaveBeenCalledWith( + "token", + expect.objectContaining({ + environment_variables: expect.objectContaining({ + callback: "otel", + otel_endpoint: "http://collector:4318", + otel_exporter_otlp_protocol: "http/json", + }), + }), + ); + }); + }); + + it("should show the saved export protocol in the edit modal and keep it on an unchanged save", async () => { + mockOtelCallback({ OTEL_ENDPOINT: "http://collector:4318", OTEL_EXPORTER_OTLP_PROTOCOL: "http/json" }); + const user = await openOtelEditModal(); + + expect(await screen.findByLabelText("Endpoint URL")).toHaveValue("http://collector:4318"); + expect(screen.getByLabelText("Export Protocol")).toHaveTextContent("http/json"); + + await user.click(within(screen.getByRole("dialog")).getByRole("button", { name: "Save Changes" })); + + await waitFor(() => { + expect(vi.mocked(setCallbacksCall)).toHaveBeenCalledWith("token", { + environment_variables: { + callback: "otel", + otel_endpoint: "http://collector:4318", + otel_exporter_otlp_protocol: "http/json", + }, + litellm_settings: { success_callback: ["otel"] }, + }); + }); + }); + it("should send the typed webhook url for an alert type when the alerting tab is saved", async () => { const user = userEvent.setup(); render(); diff --git a/ui/litellm-dashboard/src/components/settings.tsx b/ui/litellm-dashboard/src/components/settings.tsx index 9cb55b6ed5c..e549770af6e 100644 --- a/ui/litellm-dashboard/src/components/settings.tsx +++ b/ui/litellm-dashboard/src/components/settings.tsx @@ -14,6 +14,7 @@ import { } from "@/components/ui/combobox"; import { Dialog, DialogContent, DialogHeader, DialogTitle } from "@/components/ui/dialog"; import { Input } from "@/components/ui/input"; +import { Select, SelectContent, SelectItem, SelectTrigger, SelectValue } from "@/components/ui/select"; import { Switch } from "@/components/ui/switch"; import { Table, TableBody, TableCell, TableHead, TableHeader, TableRow } from "@/components/ui/table"; import { Tabs, TabsContent, TabsList, TabsTrigger } from "@/components/ui/tabs"; @@ -59,7 +60,7 @@ interface DynamicParamsFieldsProps { } const DynamicParamsFields: React.FC = ({ params, callbackConfigs, selectedCallback }) => { - const { register, formState } = useFormContext(); + const { register, control, formState } = useFormContext(); const fieldIdPrefix = React.useId(); if (!params || params.length === 0) { @@ -74,37 +75,63 @@ const DynamicParamsFields: React.FC = ({ params, callb const paramType = paramConfig.type || "text"; const fieldLabel = paramConfig.ui_name || param.replace(/_/g, " ").replace(/\b\w/g, (l) => l.toUpperCase()); const isRequired = paramConfig.required || false; + const selectOptions: string[] = Array.isArray(paramConfig.options) ? paramConfig.options : []; + const isSelect = paramType === "select" && selectOptions.length > 0; const fieldId = `${fieldIdPrefix}-${param}`; - const registration = register( - param, - isRequired ? { required: `Please enter the ${fieldLabel.toLowerCase()}` } : undefined, - ); + const validationRules = isRequired ? { required: `Please enter the ${fieldLabel.toLowerCase()}` } : undefined; + const registration = isSelect ? undefined : register(param, validationRules); return ( {fieldLabel} - {paramType === "password" ? ( - ( + + )} /> - ) : paramType === "number" ? ( - - ) : ( - )} + {!isSelect && + (paramType === "password" ? ( + + ) : paramType === "number" ? ( + + ) : ( + + ))} ); @@ -271,15 +298,22 @@ const Settings: React.FC = ({ accessToken, userRole, userID, useEffect(() => { if (showEditCallback && selectedEditCallback) { + const params = getDynamicParamsForCallback( + selectedEditCallback.name, + callbackConfigs, + selectedEditCallback.variables, + ); + const fieldNameFor = (variable: string) => + params.find((param) => param.toUpperCase() === variable.toUpperCase()) ?? variable; const normalized = Object.fromEntries( - Object.entries(selectedEditCallback.variables || {}).map(([k, v]) => [k, v ?? ""]), + Object.entries(selectedEditCallback.variables || {}).map(([k, v]) => [fieldNameFor(k), v ?? ""]), ); editForm.reset({ ...normalized, callback: selectedEditCallback.name, }); } - }, [showEditCallback, selectedEditCallback, editForm]); + }, [showEditCallback, selectedEditCallback, editForm, callbackConfigs]); const handleSwitchChange = (alertName: string) => { if (activeAlerts.includes(alertName)) { diff --git a/ui/litellm-dashboard/src/components/vector_store_providers.test.tsx b/ui/litellm-dashboard/src/components/vector_store_providers.test.tsx index 8e3a3aa3402..32d0f5dccc0 100644 --- a/ui/litellm-dashboard/src/components/vector_store_providers.test.tsx +++ b/ui/litellm-dashboard/src/components/vector_store_providers.test.tsx @@ -35,7 +35,8 @@ describe("getVectorStoreProviderLogoAndName", () => { }); expect(vectorStoreProviderMap.MongoDB).toBe("mongodb"); expect(getProviderSpecificFields("mongodb").map((field) => field.name)).toEqual([ - "mongodb_connection_string", + "api_base", + "api_key", "mongodb_database", "mongodb_collection", "embedding_model", @@ -45,12 +46,10 @@ describe("getVectorStoreProviderLogoAndName", () => { ]); }); - it("hides the mongodb connection string, which carries the database password", () => { - const connectionString = getProviderSpecificFields("mongodb").find( - (field) => field.name === "mongodb_connection_string", - ); + it("hides the mongodb sidecar API key", () => { + const apiKey = getProviderSpecificFields("mongodb").find((field) => field.name === "api_key"); - expect(connectionString).toMatchObject({ type: "password", required: true }); + expect(apiKey).toMatchObject({ type: "password", required: true }); }); it("picks the mongodb embedding model from the proxy's models rather than a fixed list", () => { diff --git a/ui/litellm-dashboard/src/components/vector_store_providers.tsx b/ui/litellm-dashboard/src/components/vector_store_providers.tsx index a75f10771a8..79e711f6f98 100644 --- a/ui/litellm-dashboard/src/components/vector_store_providers.tsx +++ b/ui/litellm-dashboard/src/components/vector_store_providers.tsx @@ -14,7 +14,7 @@ export enum VectorStoreProviders { OpenAI = "OpenAI", Azure = "Azure OpenAI", Milvus = "Milvus", - MongoDB = "MongoDB Atlas", + MongoDB = "MongoDB (BETA)", Valkey = "Valkey", } @@ -175,18 +175,25 @@ export const vectorStoreProviderFields: Record ], mongodb: [ { - name: "mongodb_connection_string", - label: "Connection String", - tooltip: - "The full MongoDB connection string for your Atlas cluster, including the database user and password. Copy it from Atlas under Connect, Drivers (e.g. mongodb+srv://user:password@cluster.mongodb.net)", - placeholder: "mongodb+srv://user:password@cluster.mongodb.net", + name: "api_base", + label: "Sidecar URL", + tooltip: "Use HTTPS for a remote sidecar, or HTTP with a loopback IP for a sidecar on the same host or Pod", + placeholder: "http://127.0.0.1:8080", + required: true, + type: "text", + }, + { + name: "api_key", + label: "Sidecar API Key", + tooltip: "The MONGODB_SIDECAR_API_KEY configured in your MongoDB sidecar", + placeholder: "Enter sidecar API key", required: true, type: "password", }, { name: "mongodb_database", label: "Database", - tooltip: "The Atlas database holding the collection you want to search", + tooltip: "The MongoDB database holding the collection you want to search", placeholder: "sample_mflix", required: true, type: "text", @@ -194,7 +201,7 @@ export const vectorStoreProviderFields: Record { name: "mongodb_collection", label: "Collection", - tooltip: "The collection your Atlas Vector Search index was built on", + tooltip: "The collection your MongoDB Vector Search index was built on", placeholder: "embedded_movies", required: true, type: "text", @@ -212,7 +219,7 @@ export const vectorStoreProviderFields: Record name: "mongodb_embedding_field", label: "Vector Field Name", tooltip: - "The field in each document that holds its embedding. It must match the path your Atlas Vector Search index was created on (default: embedding)", + "The field in each document that holds its embedding. It must match the path your MongoDB Vector Search index was created on (default: embedding)", placeholder: "embedding", required: false, type: "text", @@ -232,7 +239,7 @@ export const vectorStoreProviderFields: Record name: "mongodb_num_candidates", label: "Candidates Considered", tooltip: - "How many nearest neighbours Atlas examines before returning the top results. Higher is more accurate and slower. Leave blank to let LiteLLM scale it with the requested result count", + "How many nearest neighbours MongoDB examines before returning the top results. Higher is more accurate and slower. Leave blank to let LiteLLM scale it with the requested result count", placeholder: "100", required: false, type: "text", diff --git a/ui/litellm-dashboard/src/lib/autorouter_presets.test.ts b/ui/litellm-dashboard/src/lib/autorouter_presets.test.ts index 5d1c7f73c71..8a5f83adbdf 100644 --- a/ui/litellm-dashboard/src/lib/autorouter_presets.test.ts +++ b/ui/litellm-dashboard/src/lib/autorouter_presets.test.ts @@ -149,13 +149,12 @@ describe("autorouter_presets", () => { ); }); - // Opus serves both tiers, so the effort is all that separates them and losing it fails silently. - it("pins the anthropic preset's reasoning tier to Opus at high thinking", () => { + it("pins the anthropic preset's reasoning tier to Fable 5.1 at high thinking", () => { const config = getPresetByKey("anthropic_family")!.complexity_router_config; expect(config.tiers.COMPLEX).toEqual(["claude-opus-5"]); - expect(config.tiers.REASONING).toEqual(["claude-opus-5"]); + expect(config.tiers.REASONING).toEqual(["claude-fable-5-1"]); expect(config.tier_model_configs).toEqual({ - REASONING: [{ model_name: "claude-opus-5", litellm_params: { reasoning_effort: "high" } }], + REASONING: [{ model_name: "claude-fable-5-1", litellm_params: { reasoning_effort: "high" } }], }); }); @@ -214,7 +213,7 @@ describe("autorouter_presets", () => { const preset = getPresetByKey("anthropic_family")!; const prefill = buildPresetPrefill(preset.complexity_router_config, groupsOnly(getRequiredModelsInPreset(preset))); expect(prefill.complexityRouterConfig.tier_model_params).toEqual({ - REASONING: { "claude-opus-5": { reasoning_effort: "high" } }, + REASONING: { "claude-fable-5-1": { reasoning_effort: "high" } }, }); }); @@ -227,21 +226,21 @@ describe("autorouter_presets", () => { }); }); - it("pins the OpenAI preset to the Luna, Terra, and Sol progression", () => { + it("pins the OpenAI preset to the Luna, Terra, Sol, and Astra progression", () => { const preset = getPresetByKey("openai_family")!; const expectedTiers = { SIMPLE: ["gpt-5.6-luna"], MEDIUM: ["gpt-5.6-terra"], COMPLEX: ["gpt-5.6-sol"], - REASONING: ["gpt-5.6-sol"], + REASONING: ["gpt-6-astra"], }; expect(preset.complexity_router_config.tiers).toEqual(expectedTiers); expect(preset.complexity_router_config.tier_model_configs).toEqual({ - REASONING: [{ model_name: "gpt-5.6-sol", litellm_params: { reasoning_effort: "xhigh" } }], + REASONING: [{ model_name: "gpt-6-astra", litellm_params: { reasoning_effort: "xhigh" } }], }); const prefill = buildPresetPrefill(preset.complexity_router_config, groupsOnly(getRequiredModelsInPreset(preset))); expect(prefill.complexityRouterConfig.tier_model_params).toEqual({ - REASONING: { "gpt-5.6-sol": { reasoning_effort: "xhigh" } }, + REASONING: { "gpt-6-astra": { reasoning_effort: "xhigh" } }, }); }); diff --git a/ui/litellm-dashboard/src/lib/http/schema.d.ts b/ui/litellm-dashboard/src/lib/http/schema.d.ts index cf486b4d612..0f0c1fc9af4 100644 --- a/ui/litellm-dashboard/src/lib/http/schema.d.ts +++ b/ui/litellm-dashboard/src/lib/http/schema.d.ts @@ -3318,11 +3318,14 @@ export interface paths { * - model: Model name (e.g., "gpt-4", "claude-3-opus") * - input_tokens: Expected input tokens per request * - output_tokens: Expected output tokens per request + * - cache_read_input_tokens: Cache-read tokens per request, counted within input_tokens (optional) + * - cache_creation_input_tokens: Cache-write tokens per request, counted within input_tokens (optional) + * - reasoning_tokens: Reasoning tokens per request, counted within output_tokens (optional) * - num_requests_per_day: Number of requests per day (optional) * - num_requests_per_month: Number of requests per month (optional) * * Returns cost breakdown including: - * - Per-request costs (input, output, margin) + * - Per-request costs (input, output, margin, plus the cache-read, cache-write and reasoning shares) * - Daily costs (if num_requests_per_day provided) * - Monthly costs (if num_requests_per_month provided) * @@ -3331,7 +3334,9 @@ export interface paths { * { * "model": "gpt-4", * "input_tokens": 1000, + * "cache_read_input_tokens": 800, * "output_tokens": 500, + * "reasoning_tokens": 200, * "num_requests_per_day": 100, * "num_requests_per_month": 3000 * } @@ -8542,6 +8547,50 @@ export interface paths { patch?: never; trace?: never; }; + "/mcp/proxy": { + parameters: { + query?: never; + header?: never; + path?: never; + cookie?: never; + }; + /** + * Proxy Mcp Route + * @description Serve the fixed three-tool MCP proxy surface. + */ + get: operations["proxy_mcp_route_mcp_proxy_get"]; + /** + * Proxy Mcp Route + * @description Serve the fixed three-tool MCP proxy surface. + */ + put: operations["proxy_mcp_route_mcp_proxy_put"]; + /** + * Proxy Mcp Route + * @description Serve the fixed three-tool MCP proxy surface. + */ + post: operations["proxy_mcp_route_mcp_proxy_post"]; + /** + * Proxy Mcp Route + * @description Serve the fixed three-tool MCP proxy surface. + */ + delete: operations["proxy_mcp_route_mcp_proxy_delete"]; + /** + * Proxy Mcp Route + * @description Serve the fixed three-tool MCP proxy surface. + */ + options: operations["proxy_mcp_route_mcp_proxy_options"]; + /** + * Proxy Mcp Route + * @description Serve the fixed three-tool MCP proxy surface. + */ + head: operations["proxy_mcp_route_mcp_proxy_head"]; + /** + * Proxy Mcp Route + * @description Serve the fixed three-tool MCP proxy surface. + */ + patch: operations["proxy_mcp_route_mcp_proxy_patch"]; + trace?: never; + }; "/memory-usage-in-mem-cache": { parameters: { query?: never; @@ -8701,6 +8750,9 @@ export interface paths { * - url: the remote URL that was attempted (null when env-forced local) * - is_env_forced: true if LITELLM_LOCAL_MODEL_COST_MAP=True forced local usage * - fallback_reason: human-readable reason why remote failed (null on success) + * - loaded_at: when this pod last loaded the map + * - source_revision: git blob id of the loaded file, what git rev-parse : prints for it + * - etag: the ETag of the remote fetch (null for the bundled backup) * - model_count: number of models in the currently loaded cost map */ get: operations["get_model_cost_map_source_model_cost_map_source_get"]; @@ -25579,7 +25631,7 @@ export interface components { * @description Complexity tiers for routing decisions. * @enum {string} */ - ComplexityTier: "SIMPLE" | "MEDIUM" | "COMPLEX" | "REASONING"; + ComplexityTier: "NON_REASONING" | "SIMPLE" | "MEDIUM" | "COMPLEX" | "REASONING"; /** ComplexityTierModel */ ComplexityTierModel: { /** Litellm Params */ @@ -26421,6 +26473,18 @@ export interface components { * @description Request body for /cost/estimate endpoint. */ CostEstimateRequest: { + /** + * Cache Creation Input Tokens + * @description Input tokens written to the prompt cache; counted within input_tokens + * @default 0 + */ + cache_creation_input_tokens: number; + /** + * Cache Read Input Tokens + * @description Input tokens read from the prompt cache; counted within input_tokens + * @default 0 + */ + cache_read_input_tokens: number; /** * Input Tokens * @description Expected input tokens per request @@ -26446,17 +26510,65 @@ export interface components { * @description Expected output tokens per request */ output_tokens: number; + /** + * Reasoning Tokens + * @description Reasoning tokens the model emits; counted within output_tokens + * @default 0 + */ + reasoning_tokens: number; }; /** * CostEstimateResponse * @description Response body for /cost/estimate endpoint. */ CostEstimateResponse: { + /** + * Cache Creation Cost Per Request + * @description Cache-write share of input_cost_per_request + * @default 0 + */ + cache_creation_cost_per_request: number; + /** + * Cache Creation Input Token Cost + * @description Rate billed per cache-write token + */ + cache_creation_input_token_cost?: number | null; + /** + * Cache Creation Input Tokens + * @default 0 + */ + cache_creation_input_tokens: number; + /** + * Cache Read Cost Per Request + * @description Cache-read share of input_cost_per_request + * @default 0 + */ + cache_read_cost_per_request: number; + /** + * Cache Read Input Token Cost + * @description Rate billed per cache-read token + */ + cache_read_input_token_cost?: number | null; + /** + * Cache Read Input Tokens + * @default 0 + */ + cache_read_input_tokens: number; /** * Cost Per Request * @description Total cost per request (includes margin) */ cost_per_request: number; + /** + * Daily Cache Creation Cost + * @description Cache-write share of daily_input_cost + */ + daily_cache_creation_cost?: number | null; + /** + * Daily Cache Read Cost + * @description Cache-read share of daily_input_cost + */ + daily_cache_read_cost?: number | null; /** * Daily Cost * @description Total daily cost (includes margin) @@ -26477,12 +26589,20 @@ export interface components { * @description Daily output token cost */ daily_output_cost?: number | null; + /** + * Daily Reasoning Cost + * @description Reasoning share of daily_output_cost + */ + daily_reasoning_cost?: number | null; /** * Input Cost Per Request * @description Input token cost per request (before margin) */ input_cost_per_request: number; - /** Input Cost Per Token */ + /** + * Input Cost Per Token + * @description Rate billed per input token + */ input_cost_per_token?: number | null; /** Input Tokens */ input_tokens: number; @@ -26494,6 +26614,16 @@ export interface components { margin_cost_per_request: number; /** Model */ model: string; + /** + * Monthly Cache Creation Cost + * @description Cache-write share of monthly_input_cost + */ + monthly_cache_creation_cost?: number | null; + /** + * Monthly Cache Read Cost + * @description Cache-read share of monthly_input_cost + */ + monthly_cache_read_cost?: number | null; /** * Monthly Cost * @description Total monthly cost (includes margin) @@ -26514,21 +26644,45 @@ export interface components { * @description Monthly output token cost */ monthly_output_cost?: number | null; + /** + * Monthly Reasoning Cost + * @description Reasoning share of monthly_output_cost + */ + monthly_reasoning_cost?: number | null; /** Num Requests Per Day */ num_requests_per_day?: number | null; /** Num Requests Per Month */ num_requests_per_month?: number | null; + /** + * Output Cost Per Reasoning Token + * @description Rate billed per reasoning token + */ + output_cost_per_reasoning_token?: number | null; /** * Output Cost Per Request * @description Output token cost per request (before margin) */ output_cost_per_request: number; - /** Output Cost Per Token */ + /** + * Output Cost Per Token + * @description Rate billed per output token + */ output_cost_per_token?: number | null; /** Output Tokens */ output_tokens: number; /** Provider */ provider?: string | null; + /** + * Reasoning Cost Per Request + * @description Reasoning share of output_cost_per_request + * @default 0 + */ + reasoning_cost_per_request: number; + /** + * Reasoning Tokens + * @default 0 + */ + reasoning_tokens: number; }; /** CreateCredentialItem */ CreateCredentialItem: { @@ -34956,6 +35110,12 @@ export interface components { * @default true */ enable_context_window_escalation: boolean; + /** + * Enable Non Reasoning Tier + * @description Add NON_REASONING as a fifth built-in tier below SIMPLE, for operational agent traffic that relays or reformats information rather than reasoning about it. Off by default: turning it on adds a rung to this router's ladder, a bullet to the LLM classifier's rubric, and a value the classifier may return, all of which move tier decisions and spend on an already-deployed router. Requires an LLM classifier or a custom classifier plugin, since the heuristic scorers cannot produce the tier, and a model in `tiers` under the NON_REASONING key. Escalation still walks up from it, and it is never the savings baseline or a `heuristic_v2` prediction. + * @default false + */ + enable_non_reasoning_tier: boolean; /** * Escalation Keywords * @description Case-sensitive phrases a user can include to force a bump to the next-higher complexity tier when they aren't satisfied with results (they can force a stronger model, but not choose which one). Defaults to ['LITELLM ESCALATE'] when unset; set to an empty list to disable. @@ -37227,7 +37387,7 @@ export interface components { TierDefinition: { /** * Description - * @description What belongs in this tier; rendered as this tier's bullet in the classifier rubric. Required unless the name is a built-in tier (SIMPLE/MEDIUM/COMPLEX/REASONING), which inherits the built-in criteria when omitted + * @description What belongs in this tier; rendered as this tier's bullet in the classifier rubric. Required unless the name is a built-in tier (NON_REASONING, SIMPLE, MEDIUM, COMPLEX, REASONING), which inherits the built-in criteria when omitted */ description?: string | null; /** @@ -50977,6 +51137,146 @@ export interface operations { }; }; }; + proxy_mcp_route_mcp_proxy_get: { + parameters: { + query?: never; + header?: never; + path?: never; + cookie?: never; + }; + requestBody?: never; + responses: { + /** @description Successful Response */ + 200: { + headers: { + [name: string]: unknown; + }; + content: { + "application/json": unknown; + }; + }; + }; + }; + proxy_mcp_route_mcp_proxy_put: { + parameters: { + query?: never; + header?: never; + path?: never; + cookie?: never; + }; + requestBody?: never; + responses: { + /** @description Successful Response */ + 200: { + headers: { + [name: string]: unknown; + }; + content: { + "application/json": unknown; + }; + }; + }; + }; + proxy_mcp_route_mcp_proxy_post: { + parameters: { + query?: never; + header?: never; + path?: never; + cookie?: never; + }; + requestBody?: never; + responses: { + /** @description Successful Response */ + 200: { + headers: { + [name: string]: unknown; + }; + content: { + "application/json": unknown; + }; + }; + }; + }; + proxy_mcp_route_mcp_proxy_delete: { + parameters: { + query?: never; + header?: never; + path?: never; + cookie?: never; + }; + requestBody?: never; + responses: { + /** @description Successful Response */ + 200: { + headers: { + [name: string]: unknown; + }; + content: { + "application/json": unknown; + }; + }; + }; + }; + proxy_mcp_route_mcp_proxy_options: { + parameters: { + query?: never; + header?: never; + path?: never; + cookie?: never; + }; + requestBody?: never; + responses: { + /** @description Successful Response */ + 200: { + headers: { + [name: string]: unknown; + }; + content: { + "application/json": unknown; + }; + }; + }; + }; + proxy_mcp_route_mcp_proxy_head: { + parameters: { + query?: never; + header?: never; + path?: never; + cookie?: never; + }; + requestBody?: never; + responses: { + /** @description Successful Response */ + 200: { + headers: { + [name: string]: unknown; + }; + content: { + "application/json": unknown; + }; + }; + }; + }; + proxy_mcp_route_mcp_proxy_patch: { + parameters: { + query?: never; + header?: never; + path?: never; + cookie?: never; + }; + requestBody?: never; + responses: { + /** @description Successful Response */ + 200: { + headers: { + [name: string]: unknown; + }; + content: { + "application/json": unknown; + }; + }; + }; + }; memory_usage_in_mem_cache_memory_usage_in_mem_cache_get: { parameters: { query?: never; diff --git a/ui/litellm-dashboard/tsconfig.tsbuildinfo b/ui/litellm-dashboard/tsconfig.tsbuildinfo index 38e28e4f476..1036720c31e 100644 --- a/ui/litellm-dashboard/tsconfig.tsbuildinfo +++ b/ui/litellm-dashboard/tsconfig.tsbuildinfo @@ -1 +1 @@ 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Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":3755,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4094,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":4354,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4619,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":4691,"length":12,"messageText":"Parameter 'defaultModel' implicitly has an 'any' type.","category":1,"code":7006},{"start":4905,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[1997,[{"start":507,"length":10,"code":2739,"category":1,"messageText":"Type '{ tiers: { SIMPLE: string[]; MEDIUM: string[]; COMPLEX: string[]; REASONING: string[]; }; tierLabels: undefined; classifierType: \"heuristic\"; classifierLlmConfig: undefined; classifierContextWindowSize: undefined; ... 15 more ...; returnRawModelName: false; }' is missing the following properties from type 'BuildComplexityRouterConfigParams': defaultModel, planModeMinTier, heuristicFirstMaxTier","canonicalHead":{"code":2322,"messageText":"Type '{ tiers: { SIMPLE: string[]; MEDIUM: string[]; COMPLEX: string[]; REASONING: string[]; }; tierLabels: undefined; classifierType: \"heuristic\"; classifierLlmConfig: undefined; classifierContextWindowSize: undefined; ... 15 more ...; returnRawModelName: false; }' is not assignable to type 'BuildComplexityRouterConfigParams'."}},{"start":1221,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1271,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1435,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1639,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1863,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1956,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2147,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2204,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2450,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2543,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2803,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2851,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2950,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":3246,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3309,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":3756,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3815,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3883,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":4294,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4361,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4434,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":4780,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4847,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4920,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":5311,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":5375,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":5830,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":6087,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":6150,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":6217,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":6637,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":6694,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":6768,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":6820,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":7266,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":7328,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":7380,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":7437,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":7542,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":7604,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":7664,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":8384,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":8584,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":8908,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":8953,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":9006,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":9064,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":9123,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":9277,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":9340,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":9541,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":9594,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":9805,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":9859,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":10014,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":10072,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":10382,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":10422,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":10496,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":10549,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":10604,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":10949,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":10989,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":11051,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":11116,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":11159,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":11223,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":11307,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":11380,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":11548,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":11636,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":11824,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":11960,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":12133,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":12200,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":12328,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":12450,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":12533,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":12683,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":12748,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":12918,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":13006,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":13177,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":13260,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":13418,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":13465,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":13530,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":13797,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":13890,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":14140,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":14214,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":14399,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":14588,"length":6,"messageText":"Parameter '_label' implicitly has an 'any' type.","category":1,"code":7006},{"start":14596,"length":8,"messageText":"Parameter 'keywords' implicitly has an 'any' type.","category":1,"code":7006},{"start":14615,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":14868,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":14943,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":14957,"length":24,"messageText":"Expected 2 arguments, but got 1.","category":1,"code":2554,"relatedInformation":[{"file":"./src/components/add_model/build_complexity_router_config.ts","start":8516,"length":24,"messageText":"An argument for 'rows' was not provided.","category":3,"code":6210}]},{"start":15302,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":15391,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":15546,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":15790,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":15972,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":16051,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":16277,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":16357,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":16616,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":16700,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":16826,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":16912,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":17147,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":17556,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":17654,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":17737,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":18067,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":18148,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":18220,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":18371,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":18528,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":18614,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":18713,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":18956,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":19113,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":19480,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":19571,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":19966,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":20052,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":20165,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":20267,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":20442,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":20597,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":20631,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":20710,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":20796,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":21092,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":21145,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":21377,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":21457,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":21555,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":21763,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":21818,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":21859,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":21905,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":21964,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":22116,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":22176,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":22265,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":22359,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":22458,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":22552,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":22631,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":22722,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":22794,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":22886,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":22977,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":23049,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":23089,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":23160,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":23223,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":23265,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":23389,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":23559,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":23638,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":23688,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":23760,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":23830,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":23886,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":23951,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":24432,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":24575,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":24633,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":24698,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":24735,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":24824,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":24927,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":25035,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":25140,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":25249,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":25414,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":25584,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":25744,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":25806,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":25882,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":26055,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":26100,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":26292,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":26358,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":26496,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":26556,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":26747,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":26815,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":26955,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":27005,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":27116,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":27172,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":27282,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":27383,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":27506,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":27574,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":27656,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":27755,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":28006,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":28047,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":28208,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":28254,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":28340,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":28427,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":28523,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":28676,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":28729,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":28882,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":28987,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":29049,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":29159,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":29237,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":29415,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":29520,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":29700,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":29805,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":29952,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":30345,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":30464,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":30524,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":30589,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":30771,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":30865,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":30924,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":30987,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":31054,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":31330,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[1998,[{"start":196,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":238,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":501,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":595,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":679,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":786,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":890,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":976,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1134,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1208,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1349,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1425,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1463,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1587,"length":12,"messageText":"Parameter 'systemPrompt' implicitly has an 'any' type.","category":1,"code":7006},{"start":1601,"length":8,"messageText":"Parameter 'expected' implicitly has an 'any' type.","category":1,"code":7006},{"start":1620,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1707,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1746,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1823,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1920,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2040,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2116,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[2039,[{"start":2106,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2163,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2357,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2427,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2615,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2687,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2905,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2970,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":3155,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3235,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":3411,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3485,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":3799,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[2043,[{"start":1600,"length":17,"code":2322,"category":1,"messageText":{"messageText":"Type '{ budget_limit: number; time_period: string; } | { max_budget: number; budget_duration: string; }' is not assignable to type 'ModelBudgetConfig'.","category":1,"code":2322,"next":[{"messageText":"Type '{ max_budget: number; budget_duration: string; }' is missing the following properties from type 'ModelBudgetConfig': budget_limit, time_period","category":1,"code":2739,"canonicalHead":{"code":2322,"messageText":"Type '{ max_budget: number; budget_duration: string; }' is not assignable to type 'ModelBudgetConfig'."}}]}},{"start":2144,"length":12,"code":2322,"category":1,"messageText":{"messageText":"Type 'string | number' is not assignable to type 'number'.","category":1,"code":2322,"next":[{"messageText":"Type 'string' is not assignable to type 'number'.","category":1,"code":2322}]},"relatedInformation":[{"file":"./src/components/key_team_helpers/modelmaxbudgeteditor.tsx","start":506,"length":12,"messageText":"The expected type comes from property 'budget_limit' which is declared here on type 'ModelBudgetConfig'","category":3,"code":6500}]},{"start":2388,"length":12,"code":2322,"category":1,"messageText":"Type 'string' is not assignable to type 'number'.","relatedInformation":[{"file":"./src/components/key_team_helpers/modelmaxbudgeteditor.tsx","start":506,"length":12,"messageText":"The expected type comes from property 'budget_limit' which is declared here on type 'ModelBudgetConfig'","category":3,"code":6500}]},{"start":3742,"length":8,"code":2739,"category":1,"messageText":"Type '{ max_budget: number; 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Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":366,"length":9,"messageText":"Cannot find name 'afterEach'.","category":1,"code":2304},{"start":417,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":500,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":569,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":702,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":944,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1191,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1266,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1353,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1621,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1713,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1981,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2069,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2260,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2354,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2467,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2569,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2908,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2988,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":3401,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3480,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":3592,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3750,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[3076,[{"start":5828,"length":11,"code":2322,"category":1,"messageText":"Type 'null' is not assignable to type 'string | undefined'."}]],[3173,[{"start":2696,"length":5,"code":2339,"category":1,"messageText":"Property 'value' does not exist on type 'HTMLElement'."},{"start":2826,"length":5,"code":2339,"category":1,"messageText":"Property 'value' does not exist on type 'HTMLElement'."},{"start":3842,"length":5,"code":2339,"category":1,"messageText":"Property 'value' does not exist on type 'HTMLElement'."}]],[3182,[{"start":10763,"length":423,"code":2352,"category":1,"messageText":{"messageText":"Conversion of type '{ status: \"healthy\"; last_health_check: string; health_check_error: null; teams: { team_id: string; }[]; allowed_tools: string[]; has_user_credential: true; approval_status: \"approved\"; submitted_by: string; ... 47 more ...; env_vars?: MCPEnvVar[] | null; }' to type 'MCPServer' may be a mistake because neither type sufficiently overlaps with the other. If this was intentional, convert the expression to 'unknown' first.","category":1,"code":2352,"next":[{"messageText":"Types of property 'approval_status' are incompatible.","category":1,"code":2326,"next":[{"messageText":"Type '\"approved\"' is not comparable to type '\"active\" | \"rejected\" | \"pending_review\" | null | undefined'.","category":1,"code":2678}]}]}}]],[3292,[{"start":4242,"length":15,"code":2345,"category":1,"messageText":{"messageText":"Argument of type '{ isLoading: boolean; isAuthorized: boolean; token: string; accessToken: string; userId: string; userEmail: string; userRole: string; premiumUser: boolean; disabledPersonalKeyCreation: boolean; showSSOBanner: boolean; }' is not assignable to parameter of type '{ isLoading: boolean; isAuthorized: boolean; token: string | null; accessToken: any; userId: any; userEmail: any; userRole: string; userRoleLabel: string; isViewOnly: boolean; premiumUser: any; disabledPersonalKeyCreation: any; showSSOBanner: boolean; }'.","category":1,"code":2345,"next":[{"messageText":"Type '{ isLoading: boolean; isAuthorized: boolean; token: string; accessToken: string; userId: string; userEmail: string; userRole: string; premiumUser: boolean; disabledPersonalKeyCreation: boolean; showSSOBanner: boolean; }' is missing the following properties from type '{ isLoading: boolean; isAuthorized: boolean; token: string | null; accessToken: any; userId: any; userEmail: any; userRole: string; userRoleLabel: string; isViewOnly: boolean; premiumUser: any; disabledPersonalKeyCreation: any; showSSOBanner: boolean; }': userRoleLabel, isViewOnly","category":1,"code":2739}]}}]],[3296,[{"start":4842,"length":10,"messageText":"Cannot find name 'beforeEach'.","category":1,"code":2304},{"start":11747,"length":24,"code":2345,"category":1,"messageText":{"messageText":"Argument of type '{ model_name: string; litellm_params: { model: string; complexity_router_config: { tiers: {}; classifier_type: string; }; }; model_info: { id: string; db_model: boolean; created_at: string; }; }[]' is not assignable to parameter of type '({ model_name: string; litellm_params: { model: string; complexity_router_config?: undefined; complexity_router_default_model?: undefined; auto_router_config?: undefined; auto_router_default_model?: undefined; }; model_info: { ...; }; } | { ...; } | { ...; } | { ...; } | { ...; })[]'.","category":1,"code":2345,"next":[{"messageText":"Type '{ model_name: string; litellm_params: { model: string; complexity_router_config: { tiers: {}; classifier_type: string; }; }; model_info: { id: string; db_model: boolean; created_at: string; }; }' is not assignable to type '{ model_name: string; litellm_params: { model: string; complexity_router_config?: undefined; complexity_router_default_model?: undefined; auto_router_config?: undefined; auto_router_default_model?: undefined; }; model_info: { ...; }; } | { ...; } | { ...; } | { ...; } | { ...; }'.","category":1,"code":2322,"next":[{"messageText":"Type '{ model_name: string; litellm_params: { model: string; complexity_router_config: { tiers: {}; classifier_type: string; }; }; model_info: { id: string; db_model: boolean; created_at: string; }; }' is not assignable to type '{ model_name: string; litellm_params: { model: string; auto_router_config: string; auto_router_default_model: string; complexity_router_config?: undefined; complexity_router_default_model?: undefined; }; model_info: { ...; }; }'.","category":1,"code":2322,"next":[{"messageText":"Types of property 'litellm_params' are incompatible.","category":1,"code":2326,"next":[{"messageText":"Type '{ model: string; complexity_router_config: { tiers: {}; classifier_type: string; }; }' is missing the following properties from type '{ model: string; auto_router_config: string; auto_router_default_model: string; complexity_router_config?: undefined; complexity_router_default_model?: undefined; }': auto_router_config, auto_router_default_model","category":1,"code":2739,"canonicalHead":{"code":2322,"messageText":"Type '{ model_name: string; litellm_params: { model: string; complexity_router_config: { tiers: {}; classifier_type: string; }; }; model_info: { id: string; db_model: boolean; created_at: string; }; }' is not assignable to type '{ model_name: string; litellm_params: { model: string; auto_router_config: string; auto_router_default_model: string; complexity_router_config?: undefined; complexity_router_default_model?: undefined; }; model_info: { ...; }; }'."}}]}]}]}]}}]],[3569,[{"start":2185,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2365,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2415,"length":10,"messageText":"Cannot find name 'beforeEach'.","category":1,"code":2304},{"start":2652,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":3085,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3188,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":3521,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3674,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3768,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3861,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3998,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":4041,"length":10,"messageText":"Cannot find name 'beforeEach'.","category":1,"code":2304},{"start":4130,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":4412,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4492,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[3603,[{"start":2516,"length":2,"code":2345,"category":1,"messageText":"Argument of type '{}' is not assignable to parameter of type 'void'."}]],[3648,[{"start":11320,"length":300,"code":2345,"category":1,"messageText":{"messageText":"Argument of type '{ isLoading: false; isAuthorized: true; token: string; accessToken: string; userId: string; userEmail: string; userRole: string; premiumUser: boolean; disabledPersonalKeyCreation: boolean; showSSOBanner: false; }' is not assignable to parameter of type '{ isLoading: boolean; isAuthorized: boolean; token: string | null; accessToken: any; userId: any; userEmail: any; userRole: string; userRoleLabel: string; isViewOnly: boolean; premiumUser: any; disabledPersonalKeyCreation: any; 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isAuthorized: boolean; token: string | null; accessToken: any; userId: any; userEmail: any; userRole: string; userRoleLabel: string; isViewOnly: boolean; premiumUser: any; disabledPersonalKeyCreation: any; showSSOBanner: boolean; }'.","category":1,"code":2345,"next":[{"messageText":"Type '{ isLoading: false; isAuthorized: true; token: string; accessToken: string; userId: string; userEmail: string; userRole: string; premiumUser: boolean; disabledPersonalKeyCreation: boolean; showSSOBanner: false; }' is missing the following properties from type '{ isLoading: boolean; isAuthorized: boolean; token: string | null; accessToken: any; userId: any; userEmail: any; userRole: string; userRoleLabel: string; isViewOnly: boolean; premiumUser: any; disabledPersonalKeyCreation: any; showSSOBanner: boolean; }': userRoleLabel, isViewOnly","category":1,"code":2739}]}},{"start":30967,"length":331,"code":2345,"category":1,"messageText":{"messageText":"Argument of type '{ isLoading: false; isAuthorized: true; token: string; accessToken: string; userId: string; userEmail: string; userRole: string; premiumUser: boolean; disabledPersonalKeyCreation: boolean; showSSOBanner: false; }' is not assignable to parameter of type '{ isLoading: boolean; isAuthorized: boolean; token: string | null; accessToken: any; userId: any; userEmail: any; userRole: string; userRoleLabel: string; isViewOnly: boolean; premiumUser: any; disabledPersonalKeyCreation: any; showSSOBanner: boolean; }'.","category":1,"code":2345,"next":[{"messageText":"Type '{ isLoading: false; isAuthorized: true; token: string; accessToken: string; userId: string; userEmail: string; userRole: string; premiumUser: boolean; disabledPersonalKeyCreation: boolean; showSSOBanner: false; }' is missing the following properties from type '{ isLoading: boolean; isAuthorized: boolean; token: string | null; accessToken: any; userId: any; userEmail: any; userRole: string; userRoleLabel: string; isViewOnly: boolean; premiumUser: any; disabledPersonalKeyCreation: any; showSSOBanner: boolean; }': userRoleLabel, isViewOnly","category":1,"code":2739}]}},{"start":31850,"length":331,"code":2345,"category":1,"messageText":{"messageText":"Argument of type '{ isLoading: false; isAuthorized: true; token: string; accessToken: string; userId: string; userEmail: string; userRole: string; premiumUser: boolean; disabledPersonalKeyCreation: boolean; showSSOBanner: false; }' is not assignable to parameter of type '{ isLoading: boolean; isAuthorized: boolean; token: string | null; accessToken: any; userId: any; userEmail: any; userRole: string; userRoleLabel: string; isViewOnly: boolean; premiumUser: any; disabledPersonalKeyCreation: any; showSSOBanner: boolean; }'.","category":1,"code":2345,"next":[{"messageText":"Type '{ isLoading: false; isAuthorized: true; token: string; accessToken: string; userId: string; userEmail: string; userRole: string; premiumUser: boolean; disabledPersonalKeyCreation: boolean; showSSOBanner: false; }' is missing the following properties from type '{ isLoading: boolean; isAuthorized: boolean; token: string | null; accessToken: any; userId: any; userEmail: any; userRole: string; userRoleLabel: string; isViewOnly: boolean; premiumUser: any; disabledPersonalKeyCreation: any; showSSOBanner: boolean; }': userRoleLabel, isViewOnly","category":1,"code":2739}]}}]],[3701,[{"start":3053,"length":46,"code":2352,"category":1,"messageText":{"messageText":"Conversion of type '[url: string][]' to type '[string, RequestInit][]' may be a mistake because neither type sufficiently overlaps with the other. If this was intentional, convert the expression to 'unknown' first.","category":1,"code":2352,"next":[{"messageText":"Type '[url: string]' is not comparable to type '[string, RequestInit]'.","category":1,"code":2678,"next":[{"messageText":"Source has 1 element(s) but target requires 2.","category":1,"code":2618}]}]}}]],[3727,[{"start":9097,"length":9,"messageText":"Cannot find name 'afterEach'.","category":1,"code":2304}]],[3745,[{"start":401,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":442,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":647,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":711,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":957,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1064,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1307,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1383,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1651,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1701,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1948,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1998,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2220,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2297,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2528,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[3750,[{"start":792,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":835,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1063,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1122,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1226,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1306,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1527,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1712,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1913,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2009,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2261,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2311,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2510,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2560,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2731,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[3760,[{"start":780,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":813,"length":10,"messageText":"Cannot find name 'beforeEach'.","category":1,"code":2304},{"start":891,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1067,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1117,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1321,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1371,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1570,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1620,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1789,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1848,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1981,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2053,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2107,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2176,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2342,"length":8,"messageText":"Parameter 'severity' implicitly has an 'any' type.","category":1,"code":7006},{"start":2352,"length":9,"messageText":"Parameter 'iconClass' implicitly has an 'any' type.","category":1,"code":7006},{"start":2505,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2584,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2857,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3006,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3063,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":3512,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3571,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3661,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":4075,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[3798,[{"start":2005,"length":27,"code":2769,"category":1,"messageText":{"messageText":"No overload matches this call.","category":1,"code":2769,"next":[{"messageText":"Overload 1 of 2, '(id: Matcher, options?: SelectorMatcherOptions | undefined): HTMLElement', gave the following error.","category":1,"code":2772,"next":[{"messageText":"Argument of type 'string | null' is not assignable to parameter of type 'Matcher'.","category":1,"code":2345,"next":[{"messageText":"Type 'null' is not assignable to type 'Matcher'.","category":1,"code":2322}]}]},{"messageText":"Overload 2 of 2, '(id: Matcher, options?: SelectorMatcherOptions | undefined): HTMLElement', gave the following error.","category":1,"code":2772,"next":[{"messageText":"Argument of type 'string | null' is not assignable to parameter of type 'Matcher'.","category":1,"code":2345,"next":[{"messageText":"Type 'null' is not assignable to type 'Matcher'.","category":1,"code":2322}]}]}]},"relatedInformation":[]},{"start":2084,"length":26,"code":2769,"category":1,"messageText":{"messageText":"No overload matches this call.","category":1,"code":2769,"next":[{"messageText":"Overload 1 of 2, '(id: Matcher, options?: SelectorMatcherOptions | undefined): HTMLElement', gave the following error.","category":1,"code":2772,"next":[{"messageText":"Argument of type 'string | null' is not assignable to parameter of type 'Matcher'.","category":1,"code":2345,"next":[{"messageText":"Type 'null' is not assignable to type 'Matcher'.","category":1,"code":2322}]}]},{"messageText":"Overload 2 of 2, '(id: Matcher, options?: SelectorMatcherOptions | undefined): HTMLElement', gave the following error.","category":1,"code":2772,"next":[{"messageText":"Argument of type 'string | null' is not assignable to parameter of type 'Matcher'.","category":1,"code":2345,"next":[{"messageText":"Type 'null' is not assignable to type 'Matcher'.","category":1,"code":2322}]}]}]},"relatedInformation":[]}]],[3806,[{"start":162,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":205,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":319,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":384,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":517,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":602,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":751,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[3807,[{"start":119,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":155,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":397,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":451,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":699,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":788,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":880,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1165,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1233,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1492,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1560,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1820,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[3808,[{"start":211,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":252,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":384,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":454,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":615,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":698,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":788,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":875,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1063,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1159,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1503,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1570,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1738,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[3809,[{"start":877,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":917,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1015,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1106,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1371,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1444,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1769,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1848,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2010,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2082,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2521,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2584,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2872,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2940,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3009,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[3810,[{"start":144,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":177,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":286,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":359,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":488,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":554,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":618,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":732,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":793,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":961,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1031,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1172,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1248,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1396,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1468,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1599,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[3815,[{"start":236,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":276,"length":10,"messageText":"Cannot find name 'beforeEach'.","category":1,"code":2304},{"start":330,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":583,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":735,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":802,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":859,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":931,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1173,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1267,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1590,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1754,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1854,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2168,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2268,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2981,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[3839,[{"start":1201,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1242,"length":10,"messageText":"Cannot find name 'beforeEach'.","category":1,"code":2304},{"start":1294,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1434,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1517,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1627,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1810,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1875,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1963,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2273,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2391,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2426,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2681,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2876,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2924,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":3198,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3285,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3314,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":3448,"length":8,"messageText":"Parameter 'severity' implicitly has an 'any' type.","category":1,"code":7006},{"start":3458,"length":5,"messageText":"Parameter 'label' implicitly has an 'any' type.","category":1,"code":7006},{"start":3609,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[3847,[{"start":5180,"length":36,"messageText":"Object is possibly 'null'.","category":1,"code":2531}]],[3849,[{"start":208,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":242,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":313,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":387,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":451,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":525,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":605,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":681,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":716,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":864,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":932,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1101,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1167,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1339,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1423,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1485,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1663,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1726,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1772,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1825,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1880,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1947,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1998,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[3854,[{"start":1780,"length":8,"code":2345,"category":1,"messageText":{"messageText":"Argument of type '{ token: string; accessToken: string; userId: string; userEmail: string; userRole: string; premiumUser: boolean; disabledPersonalKeyCreation: boolean; showSSOBanner: boolean; }' is not assignable to parameter of type '{ isLoading: boolean; isAuthorized: boolean; token: string | null; accessToken: any; userId: any; userEmail: any; userRole: string; userRoleLabel: string; isViewOnly: boolean; premiumUser: any; disabledPersonalKeyCreation: any; showSSOBanner: boolean; }'.","category":1,"code":2345,"next":[{"messageText":"Type '{ token: string; accessToken: string; userId: string; userEmail: string; userRole: string; 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Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":4103,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4162,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":4476,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4653,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4712,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":4861,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[3859,[{"start":1381,"length":8,"messageText":"Cannot find name 'describe'. 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Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":3946,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4061,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":4799,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4862,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":5432,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":5502,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":5568,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":5633,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":5706,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":5769,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":5866,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":6429,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":6614,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":6700,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":7224,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":7307,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":7925,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":8037,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":8581,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":8658,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":8754,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":9214,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":9314,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":9598,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":9686,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":10263,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":10308,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":10403,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":10686,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":10765,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":10862,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":11597,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":11714,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":11924,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":12008,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":12354,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":12411,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":12475,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":13196,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":13276,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":14029,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":14131,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":14357,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":14433,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":14528,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":14937,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":15019,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":15143,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":15231,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":15704,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":15831,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":15869,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":15948,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":16636,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":16760,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":17286,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":17347,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":17494,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":17562,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":17847,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":17926,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":18001,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":18085,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":18365,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":18434,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":18512,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":19051,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":19118,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":19147,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":19592,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":19677,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":19759,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":19893,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":19979,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":20448,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":20537,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":21001,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":21096,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":21415,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":21499,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":21573,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":21944,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":22017,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":22092,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":22244,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":22340,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":22583,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":22865,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":22961,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":23334,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":23372,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":23449,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":24046,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":24171,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":24474,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":24562,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":25250,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":25330,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":25818,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":25912,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":26391,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":26429,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":26502,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":27053,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":27458,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":27533,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":27630,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":28208,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":28253,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":28302,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":28384,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":28621,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":28682,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":28783,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":29078,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":29123,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":29172,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":29251,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":29494,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":29580,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":29883,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":29928,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":29985,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":30075,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":30326,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":30419,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":30780,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":30896,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":31033,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":31143,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":31378,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":31556,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":31620,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":31683,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":31754,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":31833,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":32005,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":32092,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":32187,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":32472,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":32556,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":32875,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":32913,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":32986,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":33150,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":33249,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":33390,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":33482,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":33723,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":33782,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":33845,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":34207,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":34324,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":34384,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":34589,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":34704,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":34813,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":35194,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":35291,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":35558,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":35684,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":35839,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":36010,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":36120,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":36445,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":36562,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":36896,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":36934,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":37005,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":37453,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":37491,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":37556,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":37828,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":37899,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":38459,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":38580,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":39063,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":39187,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":39389,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":39681,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":39768,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":40176,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":40294,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":40355,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":40833,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":40920,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":41014,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":41296,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":41413,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":41485,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":41748,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":41802,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":42193,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":42244,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":42687,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":42848,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":43404,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":43505,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":43574,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":43728,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":44012,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":44318,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":44472,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":44544,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":44929,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":45003,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":45436,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":45738,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":46146,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":46461,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":46740,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":46887,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":47293,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":47893,"length":6,"messageText":"Parameter '_label' implicitly has an 'any' type.","category":1,"code":7006},{"start":47901,"length":5,"messageText":"Parameter 'value' implicitly has an 'any' type.","category":1,"code":7006},{"start":47953,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":48037,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":48323,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[3860,[{"start":10021,"length":28,"code":2345,"category":1,"messageText":{"messageText":"Argument of type '{ data: ComplexityScorerDefaults; isPending: boolean; isError: boolean; refetch: Mock; }' is not assignable to parameter of type 'UseQueryResult'.","category":1,"code":2345,"next":[{"messageText":"Type '{ data: ComplexityScorerDefaults; isPending: boolean; isError: boolean; refetch: Mock; }' is not assignable to type 'QueryObserverRefetchErrorResult | QueryObserverSuccessResult | QueryObserverPlaceholderResult<...>'.","category":1,"code":2322,"next":[{"messageText":"Type '{ data: ComplexityScorerDefaults; isPending: boolean; isError: boolean; refetch: Mock; }' is missing the following properties from type 'QueryObserverPlaceholderResult': error, isLoading, isLoadingError, isRefetchError, and 18 more.","category":1,"code":2740,"canonicalHead":{"code":2322,"messageText":"Type '{ data: ComplexityScorerDefaults; isPending: boolean; isError: boolean; refetch: Mock; }' is not assignable to type 'QueryObserverPlaceholderResult'."}}]}]}},{"start":11180,"length":28,"code":2345,"category":1,"messageText":{"messageText":"Argument of type '{ data: ComplexityScorerDefaults; isPending: boolean; isError: boolean; refetch: Mock; }' is not assignable to parameter of type 'UseQueryResult'.","category":1,"code":2345,"next":[{"messageText":"Type '{ data: ComplexityScorerDefaults; isPending: boolean; isError: boolean; refetch: Mock; }' is not assignable to type 'QueryObserverRefetchErrorResult | QueryObserverSuccessResult | QueryObserverPlaceholderResult<...>'.","category":1,"code":2322,"next":[{"messageText":"Type '{ data: ComplexityScorerDefaults; isPending: boolean; isError: boolean; refetch: Mock; }' is missing the following properties from type 'QueryObserverPlaceholderResult': error, isLoading, isLoadingError, isRefetchError, and 18 more.","category":1,"code":2740,"canonicalHead":{"code":2322,"messageText":"Type '{ data: ComplexityScorerDefaults; isPending: boolean; isError: boolean; refetch: Mock; }' is not assignable to type 'QueryObserverPlaceholderResult'."}}]}]}}]],[3862,[{"start":670,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":716,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":995,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1089,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1162,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1222,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1294,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1454,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1549,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1753,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1842,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2056,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[3864,[{"start":2791,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":5175,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":5214,"length":10,"messageText":"Cannot find name 'beforeEach'.","category":1,"code":2304},{"start":5831,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":5951,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":6116,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":6355,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":6471,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":6561,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":6872,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":6961,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":7052,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":7185,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":7265,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":7479,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":7548,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":7893,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":8489,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":8548,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":8955,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":9452,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":9618,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":9711,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":9778,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":10272,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":10460,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":10544,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":10641,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":11328,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":11420,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":11510,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":12247,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":12306,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":12509,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":13010,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":13103,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":13170,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":13594,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":13807,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":13866,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":14218,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":14915,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":14974,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":15139,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":15751,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":15810,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":15966,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":16392,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":16629,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":16688,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":16847,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":17478,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":17537,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":17821,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":18064,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":18185,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":18222,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":18593,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":18681,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":19959,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":20106,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":20147,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":20208,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":20266,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":20413,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":20530,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":20601,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":21407,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":21666,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":21758,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":21864,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":21905,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":22367,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":22427,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":22775,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":22872,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":23093,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":23284,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":23344,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":23444,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":23848,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":24186,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":24312,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":24398,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":24703,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":25025,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":25122,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":25433,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":25650,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":25748,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":26067,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":26242,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":26599,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":27132,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":27193,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":27512,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":28056,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":28117,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":28891,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":29352,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":30027,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":30195,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":30240,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":30296,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":30371,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":31051,"length":10,"messageText":"Cannot find name 'beforeEach'.","category":1,"code":2304},{"start":31202,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":31595,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":31918,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":32108,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":32179,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":32514,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":32856,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":33024,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":33069,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":33116,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":33191,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":33234,"length":10,"messageText":"Cannot find name 'beforeEach'.","category":1,"code":2304},{"start":33335,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":33793,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":33854,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":34019,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":34699,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":34760,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":34937,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":35734,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":36114,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":36204,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":36307,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":36717,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":36856,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":37138,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":37199,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":37653,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":38067,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":38263,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":38388,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":38592,"length":6,"messageText":"Parameter '_label' implicitly has an 'any' type.","category":1,"code":7006},{"start":38600,"length":9,"messageText":"Parameter 'modelName' implicitly has an 'any' type.","category":1,"code":7006},{"start":38950,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":39037,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":39124,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":39677,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? 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Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":5957,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":6026,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[2047,[{"start":613,"length":10,"code":2739,"category":1,"messageText":"Type '{ tiers: { SIMPLE: string[]; MEDIUM: string[]; COMPLEX: string[]; REASONING: string[]; }; tierLabels: undefined; classifierType: \"heuristic\"; classifierLlmConfig: undefined; classifierContextWindowSize: undefined; ... 16 more ...; returnRawModelName: false; }' is missing the following properties from type 'BuildComplexityRouterConfigParams': defaultModel, planModeMinTier, classificationExamples, heuristicFirstMaxTier, classificationMode","canonicalHead":{"code":2322,"messageText":"Type '{ tiers: { SIMPLE: string[]; MEDIUM: string[]; COMPLEX: string[]; REASONING: string[]; }; tierLabels: undefined; classifierType: \"heuristic\"; classifierLlmConfig: undefined; classifierContextWindowSize: undefined; ... 16 more ...; returnRawModelName: false; }' is not assignable to type 'BuildComplexityRouterConfigParams'."}},{"start":1362,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1412,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1879,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1922,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2185,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2250,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2318,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2428,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2537,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2701,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2765,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2989,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3082,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":3273,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3330,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":3576,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3669,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":3929,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3977,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4076,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":4478,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4554,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":4850,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4913,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":5321,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":5378,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":5436,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":5503,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":5564,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":6011,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":6070,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":6138,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":6549,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":6616,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":6689,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":7035,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":7102,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":7175,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":7566,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":7630,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":8085,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":8342,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":8405,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":8472,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":8892,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":8949,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":9023,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":9075,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":9521,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":9583,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":9635,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":9692,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":9797,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":9859,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":9919,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":10639,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":10839,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":11199,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":11244,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":11297,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":11355,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":11414,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":11568,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":11631,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":11752,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":11863,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":11945,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":12063,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":12189,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":12309,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":12396,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":12536,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":12737,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":12790,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":13001,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":13055,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":13210,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":13268,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":13614,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":13654,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":13728,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":13781,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":13836,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":14217,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":14257,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":14319,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":14384,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":14427,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":14491,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":14575,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":14648,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":14816,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":14904,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":15092,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":15228,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":15401,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":15468,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":15596,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":15718,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":15801,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":15951,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":16016,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":16186,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":16274,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":16445,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":16528,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":16686,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":16733,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":16798,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":17065,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":17158,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":17408,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":17482,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":17667,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":17856,"length":6,"messageText":"Parameter '_label' implicitly has an 'any' type.","category":1,"code":7006},{"start":17864,"length":8,"messageText":"Parameter 'keywords' implicitly has an 'any' type.","category":1,"code":7006},{"start":17883,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":18136,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":18211,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":18225,"length":24,"messageText":"Expected 2 arguments, but got 1.","category":1,"code":2554,"relatedInformation":[{"file":"./src/components/add_model/build_complexity_router_config.ts","start":11634,"length":24,"messageText":"An argument for 'rows' was not provided.","category":3,"code":6210}]},{"start":18570,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":18659,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":18814,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":19058,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":19240,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":19319,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":19545,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":19625,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":19884,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":19968,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":20094,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":20180,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":20415,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":20824,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":20922,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":21005,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":21335,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":21416,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":21488,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":21639,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":21796,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":21882,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":21981,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":22222,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":22299,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":22448,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":22534,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":22777,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":22934,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":23301,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":23392,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":23787,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":23873,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":23986,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":24430,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":24528,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":24650,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":24747,"length":5,"messageText":"Parameter 'extra' implicitly has an 'any' type.","category":1,"code":7006},{"start":24874,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":24973,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":25007,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":25086,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":25172,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":25468,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":25521,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":25753,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":25833,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":25931,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":26139,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":26194,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":26235,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":26281,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":26340,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":26492,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":26552,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":26641,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":26735,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":26834,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":26928,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":27007,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":27098,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":27170,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":27262,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":27353,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":27425,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":27465,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":27536,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":27599,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":27641,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":27765,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":27935,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":28014,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":28064,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":28136,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":28206,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":28262,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":28327,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":28808,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":28951,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":29009,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":29074,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":29111,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":29200,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":29303,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":29411,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":29516,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":29625,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":29790,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":29960,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":30120,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":30182,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":30258,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":30431,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":30476,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":30668,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":30734,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":30872,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":30932,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":31123,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":31191,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":31331,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":31381,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":31492,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":31548,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":31658,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":31759,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":31882,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":31950,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":32032,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":32131,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":32382,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":32423,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":32584,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":32630,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":32716,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":32803,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":32879,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":32969,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":33065,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":33218,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":33548,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":33728,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":33781,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":33934,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":34151,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":34340,"length":25,"messageText":"Parameter 'supportedReasoningEfforts' implicitly has an 'any' type.","category":1,"code":7006},{"start":34367,"length":13,"messageText":"Parameter 'expectedError' implicitly has an 'any' type.","category":1,"code":7006},{"start":34577,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":34626,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":34663,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":34768,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":34830,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":34940,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":35018,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":35196,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":35301,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":35481,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":35586,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":35733,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":36126,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":36245,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":36305,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":36370,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":36552,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":36646,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":36705,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":36768,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":36835,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":37127,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":37201,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":37487,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":37595,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":37684,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":37807,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":37972,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":38023,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":38117,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":38184,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":38582,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":38654,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":38696,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":38830,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":38893,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":38999,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":39151,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":39253,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":39983,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":40130,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":40227,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":40418,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":40473,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":40585,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":40670,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":40767,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":40847,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":40943,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":41167,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":41272,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":41377,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":41649,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":41726,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":41871,"length":14,"messageText":"Parameter 'classifierType' implicitly has an 'any' type.","category":1,"code":7006},{"start":42061,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":42137,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":42604,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":42714,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":43028,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":43104,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":43470,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":43618,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":43834,"length":5,"messageText":"Parameter '_name' implicitly has an 'any' type.","category":1,"code":7006},{"start":43841,"length":3,"messageText":"Parameter 'key' implicitly has an 'any' type.","category":1,"code":7006},{"start":44691,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":44810,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":44866,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":45088,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":45156,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":45210,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":45411,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":45471,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":45571,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":45666,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":45765,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":45860,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":45955,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":46061,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":46162,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":46369,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":46532,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":46722,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":46791,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":46834,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":46950,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":47035,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":47721,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":47957,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":48073,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":48393,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":48480,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":48847,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":48902,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":48977,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":49044,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":49260,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":49327,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":49393,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":49474,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":49787,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":49843,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":49895,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":49962,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":50166,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":50222,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":50288,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":50371,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":50409,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":50526,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":50631,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":50749,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":50873,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":50943,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":51142,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":51246,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":51303,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":51380,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":51566,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":51780,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":51854,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":52297,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":52371,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":52620,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[2048,[{"start":196,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":238,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":501,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":595,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":679,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":786,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":890,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":976,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1134,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1208,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1349,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1425,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1463,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1587,"length":12,"messageText":"Parameter 'systemPrompt' implicitly has an 'any' type.","category":1,"code":7006},{"start":1601,"length":8,"messageText":"Parameter 'expected' implicitly has an 'any' type.","category":1,"code":7006},{"start":1620,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1707,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1746,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1823,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1920,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2040,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2116,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[2089,[{"start":11595,"length":6,"code":2345,"category":1,"messageText":{"messageText":"Argument of type '{ session_affinity_ttl_seconds: number; tiers: { SIMPLE: string[]; MEDIUM: never[]; COMPLEX: never[]; REASONING: never[]; }; classifier_type: string; keyword_tier_rules: { keywords: string[]; tier: string; }[]; ... 4 more ...; some_future_backend_key: { ...; }; }' is not assignable to parameter of type 'StoredComplexityRouterConfig'.","category":1,"code":2345,"next":[{"messageText":"Types of property 'classifier_type' are incompatible.","category":1,"code":2326,"next":[{"messageText":"Type 'string' is not assignable to type 'ClassifierType | undefined'.","category":1,"code":2322}]}]}},{"start":13641,"length":6,"code":2345,"category":1,"messageText":{"messageText":"Argument of type '{ modality_routing: boolean; 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Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2392,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2586,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2656,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2844,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2916,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":3012,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3051,"length":15,"messageText":"Spread types may only be created from object types.","category":1,"code":2698},{"start":3147,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3184,"length":12,"code":2559,"category":1,"messageText":"Type 'string' has no properties in common with type 'StoredComplexityRouterConfig'."},{"start":3244,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":3460,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3570,"length":15,"messageText":"Spread types may only be created from object types.","category":1,"code":2698},{"start":3683,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3739,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":3840,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3886,"length":15,"messageText":"Spread types may only be created from object types.","category":1,"code":2698},{"start":3985,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4022,"length":12,"code":2559,"category":1,"messageText":"Type 'string' has no properties in common with type 'StoredComplexityRouterConfig'."},{"start":4087,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":4313,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4428,"length":15,"messageText":"Spread types may only be created from object types.","category":1,"code":2698},{"start":4551,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4612,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":4830,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4895,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? 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Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":3690,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":4031,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4159,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":4484,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4533,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":4878,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4940,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":4977,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":5400,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":5476,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":6141,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":6218,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":6485,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":6532,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":6573,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":6639,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":6703,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":6766,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":6823,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":6888,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":7012,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":7166,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":7255,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":7313,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":7379,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":7452,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":7497,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":7552,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":7599,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":7663,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":7736,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":7807,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":7880,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":7925,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":8020,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":8403,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":8481,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":8933,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":9013,"length":2,"messageText":"Cannot find name 'it'. 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Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":10661,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":10731,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":10785,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":11070,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":11113,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":11970,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":12047,"length":2,"messageText":"Cannot find name 'it'. 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Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":3521,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3674,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3768,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3861,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3998,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":4041,"length":10,"messageText":"Cannot find name 'beforeEach'.","category":1,"code":2304},{"start":4130,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? 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Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2528,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[3833,[{"start":792,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":835,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1063,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1122,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1226,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1306,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1527,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1712,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1913,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2009,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2261,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2311,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2510,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2560,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2731,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[3843,[{"start":780,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":813,"length":10,"messageText":"Cannot find name 'beforeEach'.","category":1,"code":2304},{"start":891,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1067,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1117,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1321,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1371,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1570,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1620,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1789,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1848,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1981,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2053,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2107,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2176,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2342,"length":8,"messageText":"Parameter 'severity' implicitly has an 'any' type.","category":1,"code":7006},{"start":2352,"length":9,"messageText":"Parameter 'iconClass' implicitly has an 'any' type.","category":1,"code":7006},{"start":2505,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2584,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2857,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3006,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3063,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":3512,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3571,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3661,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":4075,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[3880,[{"start":2005,"length":27,"code":2769,"category":1,"messageText":{"messageText":"No overload matches this call.","category":1,"code":2769,"next":[{"messageText":"Overload 1 of 2, '(id: Matcher, options?: SelectorMatcherOptions | undefined): HTMLElement', gave the following error.","category":1,"code":2772,"next":[{"messageText":"Argument of type 'string | null' is not assignable to parameter of type 'Matcher'.","category":1,"code":2345,"next":[{"messageText":"Type 'null' is not assignable to type 'Matcher'.","category":1,"code":2322}]}]},{"messageText":"Overload 2 of 2, '(id: Matcher, options?: SelectorMatcherOptions | undefined): HTMLElement', gave the following error.","category":1,"code":2772,"next":[{"messageText":"Argument of type 'string | null' is not assignable to parameter of type 'Matcher'.","category":1,"code":2345,"next":[{"messageText":"Type 'null' is not assignable to type 'Matcher'.","category":1,"code":2322}]}]}]},"relatedInformation":[]},{"start":2084,"length":26,"code":2769,"category":1,"messageText":{"messageText":"No overload matches this call.","category":1,"code":2769,"next":[{"messageText":"Overload 1 of 2, '(id: Matcher, options?: SelectorMatcherOptions | undefined): HTMLElement', gave the following error.","category":1,"code":2772,"next":[{"messageText":"Argument of type 'string | null' is not assignable to parameter of type 'Matcher'.","category":1,"code":2345,"next":[{"messageText":"Type 'null' is not assignable to type 'Matcher'.","category":1,"code":2322}]}]},{"messageText":"Overload 2 of 2, '(id: Matcher, options?: SelectorMatcherOptions | undefined): HTMLElement', gave the following error.","category":1,"code":2772,"next":[{"messageText":"Argument of type 'string | null' is not assignable to parameter of type 'Matcher'.","category":1,"code":2345,"next":[{"messageText":"Type 'null' is not assignable to type 'Matcher'.","category":1,"code":2322}]}]}]},"relatedInformation":[]}]],[3888,[{"start":162,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":205,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":319,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":384,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":517,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":602,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":751,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[3889,[{"start":119,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":155,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":397,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":451,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":699,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":788,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":880,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1165,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1233,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1492,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1560,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1820,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[3890,[{"start":211,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":252,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":384,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":454,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":615,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":698,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":788,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":875,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1063,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1159,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1503,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1570,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1738,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[3891,[{"start":877,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":917,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1015,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1106,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1371,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1444,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1769,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1848,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2010,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2082,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2521,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2584,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2872,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2940,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3009,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3082,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":3483,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3633,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3667,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3766,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":4264,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4439,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4498,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":4989,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":5022,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[3892,[{"start":144,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":177,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":286,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":359,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":488,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":554,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":618,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":732,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":793,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":961,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1031,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1172,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1248,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1396,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1468,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1599,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[3898,[{"start":236,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":276,"length":10,"messageText":"Cannot find name 'beforeEach'.","category":1,"code":2304},{"start":330,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":583,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":735,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":802,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":859,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":931,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1173,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1267,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1590,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1754,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1854,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2168,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2268,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2981,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[3925,[{"start":1201,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1242,"length":10,"messageText":"Cannot find name 'beforeEach'.","category":1,"code":2304},{"start":1294,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1434,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1517,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1627,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1810,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1875,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1963,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2273,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2391,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2426,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2681,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2876,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2924,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":3198,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3285,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3314,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":3448,"length":8,"messageText":"Parameter 'severity' implicitly has an 'any' type.","category":1,"code":7006},{"start":3458,"length":5,"messageText":"Parameter 'label' implicitly has an 'any' type.","category":1,"code":7006},{"start":3609,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[3933,[{"start":5200,"length":36,"messageText":"Object is possibly 'null'.","category":1,"code":2531}]],[3935,[{"start":208,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":242,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":313,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":387,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":451,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":525,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":605,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":681,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":716,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":864,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":932,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1101,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1167,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1339,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1423,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1485,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1663,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1726,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1772,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? 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Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2186,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2268,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2372,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2435,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2539,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":3054,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3159,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":3589,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3689,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[3944,[{"start":837,"length":10,"messageText":"Cannot find name 'beforeEach'.","category":1,"code":2304},{"start":1657,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1766,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1811,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2092,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2179,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2275,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2634,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2723,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":3113,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3206,"length":2,"messageText":"Cannot find name 'it'. 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Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":4375,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4449,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":4642,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4701,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":5015,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":5192,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":5251,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":5400,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[3945,[{"start":1408,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1453,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1553,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1641,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? 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Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2980,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3046,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3117,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3188,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3259,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":3580,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3618,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3673,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3718,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":3924,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4009,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4090,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":4467,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4582,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":5320,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":5383,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":5802,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":5847,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":6204,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":6280,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":6356,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":6458,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":6535,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":7105,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":7175,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":7245,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":7339,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":7430,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":7505,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":7602,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":8188,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":8233,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":8290,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":8377,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":8839,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":8914,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":9002,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":9526,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":9609,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":10227,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":10339,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":10883,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":10960,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":11056,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":11516,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":11616,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":11900,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":11988,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":12565,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":12610,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":12705,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":12988,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":13067,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":13164,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":13729,"length":5,"messageText":"Parameter 'label' implicitly has an 'any' type.","category":1,"code":7006},{"start":13736,"length":11,"messageText":"Parameter 'replacement' implicitly has an 'any' type.","category":1,"code":7006},{"start":13749,"length":8,"messageText":"Parameter 'expected' implicitly has an 'any' type.","category":1,"code":7006},{"start":14281,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":14316,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":14428,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":14510,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":15129,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":15170,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":15380,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":15464,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":15810,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":15867,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":15931,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":16652,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":16732,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":17485,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":17587,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":17813,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":17889,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":17984,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":18393,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":18475,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":18599,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":18687,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":19160,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":19287,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":19325,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":19404,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":20092,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":20216,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":20742,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":20803,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":20950,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":21018,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":21303,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":21382,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":21457,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":21541,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":21821,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":21890,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":21968,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":22546,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":22613,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":22642,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":23087,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":23172,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":23254,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":23388,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":23474,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":23943,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":24032,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":24496,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":24591,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":24910,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":24994,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":25068,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":25439,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":25512,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":25587,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":25739,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":25835,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":26078,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":26360,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":26456,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":26829,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":26867,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":26944,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":27541,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":27666,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":27969,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":28057,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":28745,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":28825,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":29313,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":29407,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":29886,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":29924,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":29997,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":30245,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":30516,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":30596,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":30689,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":30781,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":31178,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":31325,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":31738,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":31888,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":32296,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":32379,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":32477,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":32838,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":33002,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":33040,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":33117,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":33567,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":33669,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":34220,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":34616,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":34698,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":34793,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":35371,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":35416,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":35465,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":35547,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":35784,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":35857,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":36463,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":36589,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":36634,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":36683,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":36762,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":37118,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":37211,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":37701,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":37746,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":37803,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":37893,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":38263,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":38355,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":38456,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":38601,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":38704,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":38939,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":39117,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":39181,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":39244,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":39315,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":39394,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":39566,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":39653,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":39748,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":40033,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":40117,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":40436,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":40474,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":40547,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":40711,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":40810,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":40951,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":41043,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":41284,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":41343,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":41406,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":41768,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":41885,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":41945,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":42340,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":42408,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":42501,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":42754,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":43050,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":43418,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":43512,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":43562,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":44018,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":44090,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":44181,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":44503,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":44617,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":44677,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":44930,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":45045,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":45162,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":45543,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":45640,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":45907,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":46031,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":46389,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":46502,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":46573,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":46677,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":47108,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":47224,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":47327,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":47743,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":47847,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":48002,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":48173,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":48283,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":48608,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":48725,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":49059,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":49097,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":49168,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":49616,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":49654,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":49719,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":49991,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":50062,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":50622,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":50743,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":51226,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":51350,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":51552,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":51844,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":51931,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":52339,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":52457,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":52518,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":52996,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":53083,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":53177,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":53459,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":53576,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":53648,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":53911,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":53965,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":54356,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":54407,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":54850,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":55011,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":55567,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":55668,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":56214,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":56482,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":56561,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":56733,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":57069,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":57238,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":57698,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":57756,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":58198,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":58349,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":58465,"length":6,"messageText":"Parameter 'action' implicitly has an 'any' type.","category":1,"code":7006},{"start":58919,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":58975,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":59193,"length":5,"messageText":"Parameter 'model' implicitly has an 'any' type.","category":1,"code":7006},{"start":59200,"length":6,"messageText":"Parameter 'effort' implicitly has an 'any' type.","category":1,"code":7006},{"start":59208,"length":5,"messageText":"Parameter 'label' implicitly has an 'any' type.","category":1,"code":7006},{"start":59215,"length":7,"messageText":"Parameter 'warning' implicitly has an 'any' type.","category":1,"code":7006},{"start":59367,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":59507,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":59571,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":59678,"length":5,"messageText":"Parameter 'model' implicitly has an 'any' type.","category":1,"code":7006},{"start":59802,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":59950,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":60019,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":60173,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":60457,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":60763,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":60917,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":60989,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":61374,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":61448,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":61881,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":62183,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":62591,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":62906,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":63185,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":63332,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":63738,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":64338,"length":6,"messageText":"Parameter '_label' implicitly has an 'any' type.","category":1,"code":7006},{"start":64346,"length":5,"messageText":"Parameter 'value' implicitly has an 'any' type.","category":1,"code":7006},{"start":64398,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":64482,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":64845,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":64937,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":65991,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":66137,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":66232,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":66455,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":66604,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":66964,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":67088,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":67264,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":67348,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":67444,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":67699,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":67756,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":67813,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":68094,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":68251,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":68308,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":68447,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":68519,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":68569,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":68785,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":68977,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":69074,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":69153,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":69442,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":69526,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":69648,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":69919,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":69997,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":70113,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":70549,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":70650,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":71037,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":71115,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":71233,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":71310,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":71435,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":71531,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":71824,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":71911,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":72476,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":72592,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":73177,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":73299,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":73895,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":73960,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":74178,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":74275,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":74386,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":74463,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":74933,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":75001,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":75046,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":75192,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":75500,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":75601,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":75691,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":75817,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":76249,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":76345,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":76435,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":76556,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":77078,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":77170,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":77271,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":77467,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":77558,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":77682,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":78289,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":78568,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":78606,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":78728,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":78815,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":79163,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":79454,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":79644,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":80140,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":80175,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":80278,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":80468,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":80723,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[3946,[{"start":10172,"length":28,"code":2345,"category":1,"messageText":{"messageText":"Argument of type '{ data: ComplexityScorerDefaults; isPending: boolean; isError: boolean; refetch: Mock; }' is not assignable to parameter of type 'UseQueryResult'.","category":1,"code":2345,"next":[{"messageText":"Type '{ data: ComplexityScorerDefaults; isPending: boolean; isError: boolean; refetch: Mock; }' is not assignable to type 'QueryObserverRefetchErrorResult | QueryObserverSuccessResult | QueryObserverPlaceholderResult<...>'.","category":1,"code":2322,"next":[{"messageText":"Type '{ data: ComplexityScorerDefaults; isPending: boolean; isError: boolean; refetch: Mock; }' is missing the following properties from type 'QueryObserverPlaceholderResult': error, isLoading, isLoadingError, isRefetchError, and 18 more.","category":1,"code":2740,"canonicalHead":{"code":2322,"messageText":"Type '{ data: ComplexityScorerDefaults; isPending: boolean; isError: boolean; refetch: Mock; }' is not assignable to type 'QueryObserverPlaceholderResult'."}}]}]}},{"start":11331,"length":28,"code":2345,"category":1,"messageText":{"messageText":"Argument of type '{ data: ComplexityScorerDefaults; isPending: boolean; isError: boolean; refetch: Mock; }' is not assignable to parameter of type 'UseQueryResult'.","category":1,"code":2345,"next":[{"messageText":"Type '{ data: ComplexityScorerDefaults; isPending: boolean; isError: boolean; refetch: Mock; }' is not assignable to type 'QueryObserverRefetchErrorResult | QueryObserverSuccessResult | QueryObserverPlaceholderResult<...>'.","category":1,"code":2322,"next":[{"messageText":"Type '{ data: ComplexityScorerDefaults; isPending: boolean; isError: boolean; refetch: Mock; }' is missing the following properties from type 'QueryObserverPlaceholderResult': error, isLoading, isLoadingError, isRefetchError, and 18 more.","category":1,"code":2740,"canonicalHead":{"code":2322,"messageText":"Type '{ data: ComplexityScorerDefaults; isPending: boolean; isError: boolean; refetch: Mock; }' is not assignable to type 'QueryObserverPlaceholderResult'."}}]}]}}]],[3947,[{"start":1213,"length":10,"messageText":"Cannot find name 'beforeEach'.","category":1,"code":2304},{"start":1412,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1478,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1878,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2020,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2305,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2574,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2996,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3076,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3207,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":3717,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3910,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4162,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4286,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":4544,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4630,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4727,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":5116,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":5238,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":5478,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":5600,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":5817,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":6317,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":6562,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":6708,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":6776,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":6866,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":7042,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":7129,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":7231,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":7331,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":7640,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":7722,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":8356,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":8618,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":8663,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":8736,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":8982,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":9239,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":9341,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":9448,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":9710,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":9883,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":10017,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":10109,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":10204,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":10624,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":10809,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":11251,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[3949,[{"start":670,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":716,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":995,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1089,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1162,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1222,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1294,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1454,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1549,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1753,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1842,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2056,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[3950,[{"start":450,"length":5,"code":2322,"category":1,"messageText":{"messageText":"Type '{ SIMPLE: string; MEDIUM: string; COMPLEX: string; REASONING: string; }' is not assignable to type 'ComplexityTiers'.","category":1,"code":2322,"next":[{"messageText":"Types of property 'SIMPLE' are incompatible.","category":1,"code":2326,"next":[{"messageText":"Type 'string' is not assignable to type 'string[]'.","category":1,"code":2322,"canonicalHead":{"code":2322,"messageText":"Type '{ SIMPLE: string; MEDIUM: string; COMPLEX: string; REASONING: string; }' is not assignable to type 'ComplexityTiers'."}}]}]},"relatedInformation":[{"file":"./src/components/add_model/complexityrouterconfig.tsx","start":14750,"length":5,"messageText":"The expected type comes from property 'tiers' which is declared here on type 'ComplexityRouterConfigValue'","category":3,"code":6500}]},{"start":833,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":884,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":974,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1098,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1205,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1331,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1389,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1460,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1504,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1589,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1629,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1724,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":1894,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":1939,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2113,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":2415,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2460,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":2655,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":3021,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3066,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3177,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":3520,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3558,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3625,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":3894,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3932,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4009,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":4133,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4196,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4276,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":4450,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4545,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":4747,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4845,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":4883,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304}]],[3952,[{"start":3331,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":3861,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":6669,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":6708,"length":10,"messageText":"Cannot find name 'beforeEach'.","category":1,"code":2304},{"start":7325,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":7445,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":7610,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":7698,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":8039,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":8117,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":8214,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":8985,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":9032,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":9086,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":9795,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":10087,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":10266,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":10549,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":10665,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":10755,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":11066,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":11155,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":11246,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":11379,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":11459,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":11673,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":11742,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":12087,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":12683,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":12742,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":12857,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":13419,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":13477,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":13544,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":14178,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":14378,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":14463,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":14526,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":14595,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":15088,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":15444,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":15941,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":16107,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":16200,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":16267,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":16761,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":16949,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":17033,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":17130,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":17917,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":18019,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":18109,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":18796,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":18888,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":18978,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":19715,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":19774,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":19977,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":20478,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":20571,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":20824,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":21467,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":21560,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":21627,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":22064,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":22260,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":22319,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":22476,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":23025,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":23191,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":23250,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":23423,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":24161,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":24325,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":24400,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":24480,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":25331,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":25390,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":25561,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":25604,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":26053,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":26199,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":26278,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":26362,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":27089,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":27235,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":27306,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":27382,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":28080,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":28284,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":28430,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":28501,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":28776,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":29473,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":29532,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":29697,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":30557,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":30616,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":30813,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":31424,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":31483,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":31649,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":32097,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":32286,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":32345,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":32503,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":32929,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":33166,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":33225,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":33384,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":34015,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":34074,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":34234,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":34696,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":34755,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":34948,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":35735,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":35794,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":36109,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":36352,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":36530,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":36567,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":36938,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":37026,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":38304,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":38451,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":38492,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":38553,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":38611,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":38758,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":38875,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":38946,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":39752,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":40011,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":40103,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":40209,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":40250,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":40712,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":40772,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":41120,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":41217,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":41438,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":41629,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":41689,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":41789,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":42193,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":42531,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":42657,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":42743,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":43048,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":43370,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":43467,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":43778,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":43995,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":44093,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":44412,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":44587,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":44944,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":45477,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":45538,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":46240,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":46701,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":47376,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":47544,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":47589,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":47645,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":47716,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":48260,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":48321,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":48628,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":49308,"length":10,"messageText":"Cannot find name 'beforeEach'.","category":1,"code":2304},{"start":49459,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":49852,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":50175,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":50365,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":50436,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":50771,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":51113,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":51281,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":51326,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":51373,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":51448,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":51491,"length":10,"messageText":"Cannot find name 'beforeEach'.","category":1,"code":2304},{"start":51592,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":52050,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":52111,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":52276,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":52956,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":53017,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":53194,"length":8,"messageText":"Cannot find name 'describe'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":53991,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? Try `npm i --save-dev @types/jest` or `npm i --save-dev @types/mocha`.","category":1,"code":2582},{"start":54371,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":54461,"length":6,"messageText":"Cannot find name 'expect'.","category":1,"code":2304},{"start":54564,"length":2,"messageText":"Cannot find name 'it'. Do you need to install type definitions for a test runner? 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\ No newline at end of file diff --git a/uv.lock b/uv.lock index 12dc2c69d23..0fe787645a2 100644 --- a/uv.lock +++ b/uv.lock @@ -10,7 +10,7 @@ resolution-markers = [ ] [options] -exclude-newer = "2026-09-05T20:24:07.535116Z" +exclude-newer = "2026-09-06T00:40:30.433549Z" exclude-newer-span = "P3D" [manifest] @@ -4415,9 +4415,6 @@ mcp = [ mlflow = [ { name = "mlflow" }, ] -mongodb = [ - { name = "pymongo" }, -] proxy = [ { name = "apscheduler" }, { name = "azure-identity" }, @@ -4649,7 +4646,6 @@ requires-dist = [ { name = "pydantic", specifier = ">=2.10.0,<3.0.0" }, { name = "pydantic-settings", specifier = ">=2.14.1,<3.0" }, { name = "pyjwt", marker = "extra == 'proxy'", specifier = ">=2.13.0,<3.0" }, - { name = "pymongo", marker = "extra == 'mongodb'", specifier = ">=4.9,<5.0" }, { name = "pynacl", marker = "extra == 'proxy'", specifier = ">=1.6.2,<2.0" }, { name = "pypdf", marker = "extra == 'proxy-runtime'", specifier = ">=6.16.1,<7.0" }, { name = "pyroscope-io", marker = 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