diff --git a/.github/workflows/mutation-test.yml b/.github/workflows/mutation-test.yml new file mode 100644 index 00000000000..8094ca57467 --- /dev/null +++ b/.github/workflows/mutation-test.yml @@ -0,0 +1,131 @@ +name: "Mutation Test (manual)" + +# Manually-triggered mutation testing. Runs mutmut against the scope +# configured in [tool.mutmut] in pyproject.toml (currently the +# litellm/proxy/management_endpoints/ folder). Intended cadence is roughly +# weekly — clicked from the Actions tab when someone wants a fresh report. +# +# Uploads a structured `mutation-report.md` (Meta ACH-style: original + +# mutated function with `# MUTANT START`/`# MUTANT END` delimiters + the +# existing tests + a task instruction) as a workflow artifact. Failures +# do not block anything because nothing depends on this workflow. + +on: + workflow_dispatch: + +permissions: + contents: read + +concurrency: + group: mutation-test-${{ github.ref }} + cancel-in-progress: true + +jobs: + mutation: + name: Run mutmut + runs-on: ubuntu-latest + # Whole-folder mutation against ~15 files / ~7.5k LOC can take hours. + # 350 minutes is just under the GitHub-hosted job cap of 360 minutes. + timeout-minutes: 350 + + steps: + - uses: actions/checkout@08eba0b27e820071cde6df949e0beb9ba4906955 # v4.3.0 + with: + persist-credentials: false + + - name: Set up Python + uses: actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065 # v5.6.0 + with: + python-version: "3.12" + + - name: Set up uv + uses: astral-sh/setup-uv@37802adc94f370d6bfd71619e3f0bf239e1f3b78 # v7 + with: + version: "0.10.9" + + - name: Cache uv dependencies + uses: actions/cache@0057852bfaa89a56745cba8c7296529d2fc39830 # v4.3.0 + with: + path: | + ~/.cache/uv + .venv + key: ${{ runner.os }}-uv-${{ hashFiles('uv.lock') }} + restore-keys: | + ${{ runner.os }}-uv- + + - name: Install dependencies + run: | + uv sync --frozen --group ci --group proxy-dev --extra google --extra proxy --extra semantic-router + + - name: Generate Prisma client + env: + PRISMA_BINARY_CACHE_DIR: ${{ runner.temp }}/prisma-cache + run: | + uv run --no-sync prisma generate --schema litellm/proxy/schema.prisma + + # mutmut 3.x runs tests inside a `mutants/` sandbox where it injects + # mutation trampolines. uv installs the project as editable by default, + # which puts the original source dir on sys.path via a .pth file and + # shadows the sandbox copy — so tests would never exercise the mutated + # code. Reinstalling non-editable removes the .pth shadow. + - name: Reinstall litellm non-editable (so mutants/ is not shadowed) + run: | + uv pip uninstall litellm + uv pip install . --no-deps + + # pytest-retry's pytest_configure hook crashes with + # `INTERNALERROR: no option named 'filtered_exceptions'` when invoked + # via mutmut's in-process pytest.main() call. The entry-point name + # doesn't normalize cleanly with `-p no:`, so just remove the + # package outright. Reruns are wrong for mutation testing anyway — + # rerunning a "failed" mutant test would mask which mutants are killed. + - name: Remove pytest plugins that conflict with mutmut + run: | + uv pip uninstall pytest-retry || true + + - name: Run mutmut + env: + # Make the mutants/ sandbox win over site-packages on sys.path so the + # trampolined files are imported instead of the installed copy. + PYTHONPATH: ${{ github.workspace }}/mutants + run: | + set -o pipefail + mkdir -p mutants + uv run --no-sync --with mutmut==3.5.0 mutmut run 2>&1 | tee mutmut-run.log + + # Generate the structured report. The script embeds the enclosing + # function source for each survivor (via Python AST) and includes the + # existing test files, so an LLM agent has enough context to write + # killing tests without further file lookups. Modeled on Meta's ACH + # prompt template (arXiv 2501.12862). + - name: Generate detailed mutation report + if: always() + run: | + set +e + uv run --no-sync --with mutmut==3.5.0 mutmut export-cicd-stats > /dev/null 2>&1 + uv run --no-sync --with mutmut==3.5.0 mutmut results > mutmut-results.txt 2>&1 + uv run --no-sync python scripts/mutation_report.py + # The full report can be very long for big test files; the run-page + # summary cuts off at 1 MB. Append the head of the report (summary + # + survivor list) and link out to the artifact for the full body. + { + head -c 900000 mutation-report.md + echo "" + echo "" + echo "_Full report (with embedded function bodies and test files) is in the workflow artifact._" + } >> "$GITHUB_STEP_SUMMARY" + + - name: Upload mutmut artifacts + if: always() + uses: actions/upload-artifact@4cec3d8aa04e39d1a68397de0c4cd6fb9dce8ec1 # v4.6.1 + with: + name: mutmut-${{ github.run_id }}-${{ github.run_attempt }} + path: | + mutation-report.md + mutmut-results.txt + mutmut-run.log + mutants/mutmut-stats.json + mutants/mutmut-cicd-stats.json + mutants/litellm/proxy/management_endpoints/**/*.py + if-no-files-found: warn + retention-days: 14 diff --git a/.github/workflows/test-unit-proxy-db.yml b/.github/workflows/test-unit-proxy-db.yml index 5a9688db9c4..bb44b001947 100644 --- a/.github/workflows/test-unit-proxy-db.yml +++ b/.github/workflows/test-unit-proxy-db.yml @@ -100,6 +100,7 @@ jobs: test-path: >- tests/proxy_unit_tests/test_auth_checks.py tests/proxy_unit_tests/test_user_api_key_auth.py + tests/proxy_unit_tests/test_deprecated_key_grace_period.py workers: 4 dist: loadscope timeout: 15 diff --git a/litellm/__init__.py b/litellm/__init__.py index fd3d47ec154..e1b367fb234 100644 --- a/litellm/__init__.py +++ b/litellm/__init__.py @@ -1426,6 +1426,12 @@ if TYPE_CHECKING: ) from .llms.datarobot.chat.transformation import DataRobotConfig as DataRobotConfig from .llms.anthropic.chat.transformation import AnthropicConfig as AnthropicConfig + from .llms.bedrock.claude_platform.transformation import ( + BedrockClaudePlatformConfig as BedrockClaudePlatformConfig, + ) + from .llms.bedrock.claude_platform.messages_transformation import ( + BedrockClaudePlatformMessagesConfig as BedrockClaudePlatformMessagesConfig, + ) from .llms.anthropic.completion.transformation import ( AnthropicTextConfig as AnthropicTextConfig, ) diff --git a/litellm/_lazy_imports_registry.py b/litellm/_lazy_imports_registry.py index 119e62a5b38..3531e8d96b9 100644 --- a/litellm/_lazy_imports_registry.py +++ b/litellm/_lazy_imports_registry.py @@ -131,6 +131,7 @@ LLM_CONFIG_NAMES = ( "OpenrouterConfig", "DataRobotConfig", "AnthropicConfig", + "BedrockClaudePlatformConfig", "AnthropicTextConfig", "GroqSTTConfig", "TritonConfig", @@ -170,6 +171,7 @@ LLM_CONFIG_NAMES = ( "SagemakerNovaConfig", "CohereChatConfig", "AnthropicMessagesConfig", + "BedrockClaudePlatformMessagesConfig", "AmazonAnthropicClaudeMessagesConfig", "AmazonMantleMessagesConfig", "TogetherAIConfig", @@ -610,6 +612,10 @@ _LLM_CONFIGS_IMPORT_MAP = { "OpenrouterConfig": (".llms.openrouter.chat.transformation", "OpenrouterConfig"), "DataRobotConfig": (".llms.datarobot.chat.transformation", "DataRobotConfig"), "AnthropicConfig": (".llms.anthropic.chat.transformation", "AnthropicConfig"), + "BedrockClaudePlatformConfig": ( + ".llms.bedrock.claude_platform.transformation", + "BedrockClaudePlatformConfig", + ), "AnthropicTextConfig": ( ".llms.anthropic.completion.transformation", "AnthropicTextConfig", @@ -712,6 +718,10 @@ _LLM_CONFIGS_IMPORT_MAP = { ".llms.anthropic.experimental_pass_through.messages.transformation", "AnthropicMessagesConfig", ), + "BedrockClaudePlatformMessagesConfig": ( + ".llms.bedrock.claude_platform.messages_transformation", + "BedrockClaudePlatformMessagesConfig", + ), "AmazonAnthropicClaudeMessagesConfig": ( ".llms.bedrock.messages.invoke_transformations.anthropic_claude3_transformation", "AmazonAnthropicClaudeMessagesConfig", diff --git a/litellm/_redis.py b/litellm/_redis.py index f12afbac297..1c11ea829ba 100644 --- a/litellm/_redis.py +++ b/litellm/_redis.py @@ -19,6 +19,7 @@ import redis.asyncio as async_redis # type: ignore from litellm import get_secret, get_secret_str from litellm._redis_credential_provider import ( + AzureADCredentialProvider, GCPIAMCredentialProvider, _generate_gcp_iam_access_token, ) @@ -27,6 +28,8 @@ from litellm.litellm_core_utils.sensitive_data_masker import SensitiveDataMasker from ._logging import verbose_logger +AZURE_REDIS_SCOPE = "https://redis.azure.com/.default" + def _get_redis_kwargs(): arg_spec = inspect.getfullargspec(redis.Redis) @@ -43,6 +46,10 @@ def _get_redis_kwargs(): "redis_connect_func", "gcp_service_account", "gcp_ssl_ca_certs", + "azure_redis_ad_token", + "azure_client_id", + "azure_tenant_id", + "azure_client_secret", ] available_args = [x for x in arg_spec.args if x not in exclude_args] + include_args @@ -89,6 +96,10 @@ def _get_redis_cluster_kwargs(client=None): ) # Needed for sync clusters and IAM detection available_args.append("gcp_service_account") available_args.append("gcp_ssl_ca_certs") + available_args.append("azure_redis_ad_token") + available_args.append("azure_client_id") + available_args.append("azure_tenant_id") + available_args.append("azure_client_secret") available_args.append("max_connections") return available_args @@ -155,6 +166,125 @@ def create_gcp_iam_redis_connect_func( return iam_connect +def _build_azure_credential( + azure_client_id: Optional[str] = None, + azure_tenant_id: Optional[str] = None, + azure_client_secret: Optional[str] = None, +): + """ + Build a long-lived Azure credential object. + + Azure SDK credentials cache tokens internally and handle expiry/refresh + transparently, so this should be called once and the result reused. + """ + try: + from azure.identity import ( + ClientSecretCredential, + DefaultAzureCredential, + ManagedIdentityCredential, + ) + except ImportError: + raise ImportError( + "azure-identity is required for Azure AD Redis authentication. " + "Install it with: pip install azure-identity" + ) + + _client_id = azure_client_id or os.environ.get("AZURE_CLIENT_ID") + _tenant_id = azure_tenant_id or os.environ.get("AZURE_TENANT_ID") + _client_secret = azure_client_secret or os.environ.get("AZURE_CLIENT_SECRET") + + if _client_id and _tenant_id and _client_secret: + return ClientSecretCredential( + client_id=_client_id, + tenant_id=_tenant_id, + client_secret=_client_secret, + ) + elif _client_id: + return ManagedIdentityCredential(client_id=_client_id) + else: + return DefaultAzureCredential() + + +def _generate_azure_ad_redis_token( + azure_client_id: Optional[str] = None, + azure_tenant_id: Optional[str] = None, + azure_client_secret: Optional[str] = None, +) -> str: + """ + One-shot helper that builds a credential and fetches a single Azure AD + access token for Redis. Each call rebuilds the credential and performs a + network round-trip, so it should not be used in steady-state Redis flows + — the sync (``create_azure_ad_redis_connect_func``) and async paths + (``AzureADCredentialProvider``) keep the credential alive across + connections so the Azure SDK's internal cache + silent refresh apply. + """ + credential = _build_azure_credential( + azure_client_id=azure_client_id, + azure_tenant_id=azure_tenant_id, + azure_client_secret=azure_client_secret, + ) + token = credential.get_token(AZURE_REDIS_SCOPE) + return token.token + + +def create_azure_ad_redis_connect_func( + azure_client_id: Optional[str] = None, + azure_tenant_id: Optional[str] = None, + azure_client_secret: Optional[str] = None, +) -> Callable: + """ + Creates a custom Redis connection function for Azure AD authentication. + + Used for sync Redis clients. The credential is created once (captured by the + closure) and reused across connections — the Azure SDK handles token caching + and silent renewal internally. Only ``get_token`` is called per connection. + """ + credential = _build_azure_credential( + azure_client_id=azure_client_id, + azure_tenant_id=azure_tenant_id, + azure_client_secret=azure_client_secret, + ) + + def ad_connect(self): + """Initialize the connection and authenticate using Azure AD""" + from redis.exceptions import ( + AuthenticationError, + AuthenticationWrongNumberOfArgsError, + ) + from redis.utils import str_if_bytes + + self._parser.on_connect(self) + + access_token = credential.get_token(AZURE_REDIS_SCOPE).token + + # Only include username when explicitly set — sending AUTH "" + # is invalid for most ACL-configured Azure Redis instances. + username = os.environ.get("REDIS_USERNAME", "") + if username: + auth_args = (username, access_token) + else: + auth_args = (access_token,) + + self.send_command("AUTH", *auth_args, check_health=False) + + try: + auth_response = self.read_response() + except AuthenticationWrongNumberOfArgsError: + # Fallback: try with just the token (Redis < 6 / no ACL) + self.send_command("AUTH", access_token, check_health=False) + auth_response = self.read_response() + + if str_if_bytes(auth_response) != "OK": + raise AuthenticationError("Azure AD authentication failed for Redis") + + # Attach the live credential object so async paths can wrap it in + # AzureADCredentialProvider for refresh-aware token retrieval. The raw + # client_id/tenant_id/secret are intentionally NOT exposed here — the + # credential closure already holds them. + ad_connect._azure_credential = credential # type: ignore[attr-defined] + return ad_connect + + def get_redis_url_from_environment(): if "REDIS_URL" in os.environ: return os.environ["REDIS_URL"] @@ -179,7 +309,7 @@ def get_redis_url_from_environment(): return f"{redis_protocol}://{auth_part}{os.environ['REDIS_HOST']}:{os.environ['REDIS_PORT']}" -def _get_redis_client_logic(**env_overrides): +def _get_redis_client_logic(**env_overrides): # noqa: PLR0915 """ Common functionality across sync + async redis client implementations """ @@ -253,6 +383,52 @@ def _get_redis_client_logic(**env_overrides): if _gcp_ssl_ca_certs and redis_kwargs.get("ssl", False): redis_kwargs["ssl_ca_certs"] = _gcp_ssl_ca_certs + # Handle Azure AD authentication (after GCP IAM block) + _azure_redis_ad_token = redis_kwargs.get("azure_redis_ad_token") or get_secret( + "REDIS_AZURE_AD_TOKEN" + ) + + _azure_ad_enabled = ( + _azure_redis_ad_token is not None + and str(_azure_redis_ad_token).lower() == "true" + ) + + if _azure_ad_enabled and _gcp_service_account is not None: + verbose_logger.warning( + "Both GCP IAM (gcp_service_account) and Azure AD (azure_redis_ad_token) are configured for Redis. " + "Using GCP IAM. Remove one to avoid misconfiguration." + ) + + if _azure_ad_enabled and _gcp_service_account is None: + _azure_client_id = redis_kwargs.get("azure_client_id") or get_secret_str( + "AZURE_CLIENT_ID" + ) + _azure_tenant_id = redis_kwargs.get("azure_tenant_id") or get_secret_str( + "AZURE_TENANT_ID" + ) + _azure_client_secret = redis_kwargs.get( + "azure_client_secret" + ) or get_secret_str("AZURE_CLIENT_SECRET") + + verbose_logger.debug("Setting up Azure AD authentication for Redis.") + redis_kwargs["redis_connect_func"] = create_azure_ad_redis_connect_func( + azure_client_id=_azure_client_id, + azure_tenant_id=_azure_tenant_id, + azure_client_secret=_azure_client_secret, + ) + # Marker for async paths to detect Azure AD auth. The live credential + # object is attached separately as `_azure_credential` by + # `create_azure_ad_redis_connect_func`; the raw client_id/tenant_id/secret + # are intentionally NOT exposed on the function to avoid leaking + # credentials via inspection or logging. + redis_kwargs["redis_connect_func"]._azure_redis_ad_token = True # type: ignore[attr-defined] + + # Always remove Azure-specific kwargs that shouldn't be passed to Redis client + redis_kwargs.pop("azure_redis_ad_token", None) + redis_kwargs.pop("azure_client_id", None) + redis_kwargs.pop("azure_tenant_id", None) + redis_kwargs.pop("azure_client_secret", None) + if "url" in redis_kwargs and redis_kwargs["url"] is not None: # Only strip host/port/db/password when not routing to a cluster. # When startup_nodes is also present the cluster path takes priority and @@ -373,7 +549,7 @@ def get_redis_client(**env_overrides): return redis.Redis(**redis_kwargs) -def get_redis_async_client( +def get_redis_async_client( # noqa: PLR0915 connection_pool: Optional[async_redis.BlockingConnectionPool] = None, **env_overrides, ) -> Union[async_redis.Redis, async_redis.RedisCluster]: @@ -398,6 +574,14 @@ def get_redis_async_client( cluster_kwargs["credential_provider"] = GCPIAMCredentialProvider( redis_connect_func._gcp_service_account ) + # Handle Azure AD authentication for async clusters via CredentialProvider + # so the credential's internal cache + silent refresh runs per connection + # (mirrors GCP IAM above; avoids static-token-baked-in-pool expiry). + elif redis_connect_func and hasattr(redis_connect_func, "_azure_credential"): + cluster_kwargs["credential_provider"] = AzureADCredentialProvider( + redis_connect_func._azure_credential, + username=os.environ.get("REDIS_USERNAME") or None, + ) new_startup_nodes: List[ClusterNode] = [] @@ -431,6 +615,22 @@ def get_redis_async_client( # Check for Redis Sentinel if "sentinel_nodes" in redis_kwargs and "service_name" in redis_kwargs: return _init_async_redis_sentinel(redis_kwargs) + + # Wrap GCP / Azure AD auth in a CredentialProvider for the standard async + # Redis client. The async client doesn't support redis_connect_func, but it + # does honour credential_provider — which is called per connection, so the + # underlying SDK can refresh tokens silently before they expire. + redis_connect_func = redis_kwargs.pop("redis_connect_func", None) + if redis_connect_func and hasattr(redis_connect_func, "_azure_credential"): + redis_kwargs["credential_provider"] = AzureADCredentialProvider( + redis_connect_func._azure_credential, + username=os.environ.get("REDIS_USERNAME") or None, + ) + elif redis_connect_func and hasattr(redis_connect_func, "_gcp_service_account"): + redis_kwargs["credential_provider"] = GCPIAMCredentialProvider( + redis_connect_func._gcp_service_account + ) + _pretty_print_redis_config(redis_kwargs=redis_kwargs) if connection_pool is not None: @@ -464,6 +664,21 @@ def get_redis_connection_pool( redis_kwargs["max_connections"], ) return async_redis.BlockingConnectionPool.from_url(**pool_kwargs) + + # Wrap GCP / Azure AD auth in a CredentialProvider so pool-managed + # connections re-fetch tokens via the SDK's internal cache + silent refresh + # rather than reusing a single token captured at pool creation. + redis_connect_func = redis_kwargs.pop("redis_connect_func", None) + if redis_connect_func and hasattr(redis_connect_func, "_azure_credential"): + redis_kwargs["credential_provider"] = AzureADCredentialProvider( + redis_connect_func._azure_credential, + username=os.environ.get("REDIS_USERNAME") or None, + ) + elif redis_connect_func and hasattr(redis_connect_func, "_gcp_service_account"): + redis_kwargs["credential_provider"] = GCPIAMCredentialProvider( + redis_connect_func._gcp_service_account + ) + connection_class = async_redis.Connection if "ssl" in redis_kwargs: connection_class = async_redis.SSLConnection diff --git a/litellm/_redis_credential_provider.py b/litellm/_redis_credential_provider.py index 70725fe12c4..586b1c7716c 100644 --- a/litellm/_redis_credential_provider.py +++ b/litellm/_redis_credential_provider.py @@ -1,10 +1,13 @@ import asyncio import threading import time -from typing import Dict, Tuple +from typing import Any, Dict, Optional, Tuple, Union from redis.credentials import CredentialProvider # type: ignore[attr-defined] +# Azure AD scope for Redis Cache for Azure. +AZURE_REDIS_SCOPE = "https://redis.azure.com/.default" + # GCP IAM tokens are valid for 1 hour. Cache for 55 minutes to refresh before expiry. _GCP_IAM_TOKEN_TTL_SECONDS = 3300 @@ -101,3 +104,33 @@ class GCPIAMCredentialProvider(CredentialProvider): _get_cached_gcp_iam_token, self._gcp_service_account ) return (token,) + + +class AzureADCredentialProvider(CredentialProvider): + """ + redis.credentials.CredentialProvider implementation that supplies Azure AD + tokens for Redis authentication. + + Wraps an azure-identity credential object so the Azure SDK's internal token + cache and silent refresh are honoured on every Redis connection. This avoids + the static-token-baked-in-pool issue where pool-managed connections would + fail authentication after the initial token expired (~1 hour TTL). + """ + + def __init__(self, credential: Any, username: Optional[str] = None) -> None: + self._credential = credential + self._username = username + + def get_credentials(self) -> Union[Tuple[str], Tuple[str, str]]: + token = self._credential.get_token(AZURE_REDIS_SCOPE).token + if self._username: + return (self._username, token) + return (token,) + + async def get_credentials_async(self) -> Union[Tuple[str], Tuple[str, str]]: + token_obj = await asyncio.to_thread( + self._credential.get_token, AZURE_REDIS_SCOPE + ) + if self._username: + return (self._username, token_obj.token) + return (token_obj.token,) diff --git a/litellm/batches/main.py b/litellm/batches/main.py index 259439d4d09..15ee9303969 100644 --- a/litellm/batches/main.py +++ b/litellm/batches/main.py @@ -617,24 +617,35 @@ def retrieve_batch( _is_async = kwargs.pop("aretrieve_batch", False) is True client = kwargs.get("client", None) - # Check if this is an async invoke ARN (different from regular batch ARN) - # Async invoke ARNs have format: arn:aws(-[^:]+)?:bedrock:[a-z0-9-]{1,20}:[0-9]{12}:async-invoke/[a-z0-9]{12} - if ( - batch_id.startswith("arn:aws") - and ":bedrock:" in batch_id - and ":async-invoke/" in batch_id - ): - # Handle async invoke status check - # Remove aws_region_name from kwargs to avoid duplicate parameter - async_kwargs = kwargs.copy() - async_kwargs.pop("aws_region_name", None) + # Bedrock has two distinct ARN families that need different APIs: + # * async-invoke ARNs (Twelve Labs Marengo embeddings) -> bedrock-runtime data plane + # * model-invocation-job ARNs (CreateModelInvocationJob batch) -> bedrock control plane + # They live on different AWS service endpoints and can't share a handler. + # ARN shapes: + # arn:aws(-[^:]+)?:bedrock:::async-invoke/ + # arn:aws(-[^:]+)?:bedrock:::model-invocation-job/ + if batch_id.startswith("arn:aws") and ":bedrock:" in batch_id: + if ":async-invoke/" in batch_id: + # Remove aws_region_name from kwargs to avoid duplicate parameter + async_kwargs = kwargs.copy() + async_kwargs.pop("aws_region_name", None) - return BedrockBatchesHandler._handle_async_invoke_status( - batch_id=batch_id, - aws_region_name=kwargs.get("aws_region_name", "us-east-1"), - logging_obj=litellm_logging_obj, - **async_kwargs, - ) + return BedrockBatchesHandler._handle_async_invoke_status( + batch_id=batch_id, + aws_region_name=kwargs.get("aws_region_name", "us-east-1"), + logging_obj=litellm_logging_obj, + **async_kwargs, + ) + if ":model-invocation-job/" in batch_id: + mij_kwargs = kwargs.copy() + mij_kwargs.pop("aws_region_name", None) + + return BedrockBatchesHandler._handle_model_invocation_job_status( + batch_id=batch_id, + aws_region_name=kwargs.get("aws_region_name"), + logging_obj=litellm_logging_obj, + **mij_kwargs, + ) # Try to use provider config first (for providers like bedrock) model: Optional[str] = kwargs.get("model", None) diff --git a/litellm/completion_extras/litellm_responses_transformation/transformation.py b/litellm/completion_extras/litellm_responses_transformation/transformation.py index da3b9184edb..32423f23314 100644 --- a/litellm/completion_extras/litellm_responses_transformation/transformation.py +++ b/litellm/completion_extras/litellm_responses_transformation/transformation.py @@ -119,6 +119,20 @@ class LiteLLMResponsesTransformationHandler(CompletionTransformationBridge): def __init__(self): pass + def _normalize_tool_choice_for_responses_api(self, tool_choice: Any) -> Any: + """Chat tool_choice uses function.name; Responses API expects top-level name.""" + if not isinstance(tool_choice, dict) or tool_choice.get("type") != "function": + return tool_choice + if isinstance(tool_choice.get("name"), str) and tool_choice.get("name"): + # Return only Responses shape so stray chat ``function`` key is not sent upstream. + return {"type": "function", "name": tool_choice["name"]} + fn = tool_choice.get("function") + if isinstance(fn, dict): + fn_name = fn.get("name") + if isinstance(fn_name, str) and fn_name: + return {"type": "function", "name": fn_name} + return tool_choice + def _handle_raw_dict_response_item( self, item: Dict[str, Any], index: int ) -> Tuple[Optional[Any], int]: @@ -309,6 +323,10 @@ class LiteLLMResponsesTransformationHandler(CompletionTransformationBridge): text_format = self._transform_response_format_to_text_format(value) if text_format: responses_api_request["text"] = text_format # type: ignore + elif key == "tool_choice": + responses_api_request["tool_choice"] = ( # type: ignore[assignment] + self._normalize_tool_choice_for_responses_api(value) + ) elif key in ResponsesAPIOptionalRequestParams.__annotations__.keys(): responses_api_request[key] = value # type: ignore elif key == "previous_response_id": diff --git a/litellm/integrations/custom_guardrail.py b/litellm/integrations/custom_guardrail.py index a03aef481e7..c937ad0a7bf 100644 --- a/litellm/integrations/custom_guardrail.py +++ b/litellm/integrations/custom_guardrail.py @@ -888,6 +888,15 @@ def log_guardrail_information(func): - pre_call - during_call - post_call + + Some guardrails (e.g. ``block_code_execution``) call + ``add_standard_logging_guardrail_information_to_request_data`` directly + from inside the wrapped function so they can record a richer payload + (structured detections, tracing detail) than this decorator's + "allow"/"mask"/raw-response default. To avoid double-recording in that + case (which would emit two spans, two Datadog records, two spend-log + entries, etc.), snapshot the entry count before invocation: if the + wrapped function already appended its own entry, skip the auto-record. """ import functools import inspect @@ -907,6 +916,16 @@ def log_guardrail_information(func): return GuardrailEventHooks.post_call return None + def _count_recorded_guardrail_entries(request_data: dict) -> int: + total = 0 + for container_key in ("metadata", "litellm_metadata"): + container = request_data.get(container_key) + if isinstance(container, dict): + entries = container.get("standard_logging_guardrail_information") + if isinstance(entries, list): + total += len(entries) + return total + @functools.wraps(func) async def async_wrapper(*args, **kwargs): start_time = datetime.now() # Move start_time inside the wrapper @@ -919,8 +938,11 @@ def log_guardrail_information(func): if func.__name__ == "apply_guardrail" and "inputs" in kwargs: original_inputs = kwargs.get("inputs") + entries_before = _count_recorded_guardrail_entries(request_data) try: response = await func(*args, **kwargs) + if _count_recorded_guardrail_entries(request_data) > entries_before: + return response return self._process_response( response=response, request_data=request_data, @@ -931,6 +953,8 @@ def log_guardrail_information(func): original_inputs=original_inputs, ) except Exception as e: + if _count_recorded_guardrail_entries(request_data) > entries_before: + raise return self._process_error( e=e, request_data=request_data, @@ -952,8 +976,11 @@ def log_guardrail_information(func): if func.__name__ == "apply_guardrail" and "inputs" in kwargs: original_inputs = kwargs.get("inputs") + entries_before = _count_recorded_guardrail_entries(request_data) try: response = func(*args, **kwargs) + if _count_recorded_guardrail_entries(request_data) > entries_before: + return response return self._process_response( response=response, request_data=request_data, @@ -962,6 +989,8 @@ def log_guardrail_information(func): original_inputs=original_inputs, ) except Exception as e: + if _count_recorded_guardrail_entries(request_data) > entries_before: + raise return self._process_error( e=e, request_data=request_data, diff --git a/litellm/integrations/opentelemetry.py b/litellm/integrations/opentelemetry.py index 0af016feb26..48d7a07a569 100644 --- a/litellm/integrations/opentelemetry.py +++ b/litellm/integrations/opentelemetry.py @@ -237,7 +237,14 @@ class OpenTelemetry(CustomLogger): not isinstance(cb, OpenTelemetry) for cb in litellm.service_callback ): litellm.service_callback.append(self) - setattr(proxy_server, "open_telemetry_logger", self) + # avoid proxy logger ownership being overwritten by later + # handlers. Multiple integrations (default OTEL, Langfuse OTEL, + # Arize OTEL, etc.) may initialize in sequence; without this guard, + # the last one silently replaces the first and breaks expected + # routing for proxy_server.open_telemetry_logger consumers. + # Behavior: first-registered wins. + if getattr(proxy_server, "open_telemetry_logger", None) is None: + setattr(proxy_server, "open_telemetry_logger", self) def _get_or_create_provider( self, @@ -794,12 +801,100 @@ class OpenTelemetry(CustomLogger): # End of Team/Key Based Logging Control Flow ######################################################### + def _emit_once(self, kwargs: dict, *scope: object) -> bool: + """Return True the first time this handler is asked to emit a span + for the given (handler, scope) on this kwargs; False on repeats. + + Used to suppress duplicate span emission for two distinct patterns: + + 1. **Handler-level dual-fire**: streaming code paths trigger both + the sync and async callback for one request, so ``_handle_success`` + / ``_handle_failure`` would otherwise produce two + ``litellm_request`` spans. Scope: ``("success",)`` / ``("failure",)``. + 2. **Payload-driven multi-entrypoint emission**: a span loop that + reads entries from ``standard_logging_payload`` (currently only + guardrails) is invoked from multiple lifecycle points + (post-call hooks, success callback, failure callback). The list + can be re-read with mutated entries between calls, so dedupe + must be at entry granularity. Scope: the entry's stable identity. + + ``scope`` parts can be any hashable identity. The marker is stored + in ``kwargs["litellm_params"]["metadata"]["_otel_internal"]`` so it + is request-local (kwargs is shared across the sync/async callbacks + and lifecycle hooks for one request). + """ + litellm_params = kwargs.get("litellm_params") + if not isinstance(litellm_params, dict): + litellm_params = {} + kwargs["litellm_params"] = litellm_params + + _metadata = litellm_params.get("metadata") + if not isinstance(_metadata, dict): + _metadata = {} + litellm_params["metadata"] = _metadata + + _otel_internal = _metadata.get("_otel_internal") + if not isinstance(_otel_internal, dict): + _otel_internal = {} + _metadata["_otel_internal"] = _otel_internal + + spans_logged = _otel_internal.get("spans_logged") + if not isinstance(spans_logged, dict): + spans_logged = {} + _otel_internal["spans_logged"] = spans_logged + + dedupe_key = (self.__class__.__name__, id(self), *scope) + if spans_logged.get(dedupe_key) is True: + return False + + spans_logged[dedupe_key] = True + return True + + def _end_proxy_span_from_kwargs(self, kwargs: dict, end_time) -> None: + """Close the proxy-level parent span if it is still recording. + + This helper retrieves the proxy span directly from kwargs metadata + and closes it after all child spans have been recorded. + + Only called from the success path. The failure path deliberately + leaves the proxy span open so ``async_post_call_failure_hook`` can + append the ``"Failed Proxy Server Request"`` child span before + closing it. + + Only spans named ``LITELLM_PROXY_REQUEST_SPAN_NAME`` are closed — + externally provided spans must not be closed by LiteLLM. + """ + litellm_params = kwargs.get("litellm_params", {}) or {} + _metadata = litellm_params.get("metadata", {}) or {} + proxy_span = _metadata.get("litellm_parent_otel_span", None) + if ( + proxy_span is not None + and getattr(proxy_span, "name", None) == LITELLM_PROXY_REQUEST_SPAN_NAME + and hasattr(proxy_span, "is_recording") + and proxy_span.is_recording() + ): + proxy_span.end(end_time=self._to_ns(end_time)) + def _handle_success(self, kwargs, response_obj, start_time, end_time): + """Create the litellm_request span then close the proxy span.""" verbose_logger.debug( "OpenTelemetry Logger: Logging kwargs: %s, OTEL config settings=%s", kwargs, self.config, ) + + # sync + async success handlers can both fire for one + # request (notably in streaming code paths). Guard against duplicate + # span writes — but still close the proxy span on the skip path so + # the trace doesn't leak an open root span. + if not self._emit_once(kwargs, "success"): + verbose_logger.debug( + "OpenTelemetry: skipping duplicate success span for handler=%s", + self.__class__.__name__, + ) + self._end_proxy_span_from_kwargs(kwargs, end_time) + return + ctx, parent_span = self._get_span_context(kwargs) if self.config.ignore_context_propagation: @@ -859,7 +954,7 @@ class OpenTelemetry(CustomLogger): # 6. Do NOT end parent span - it should be managed by its creator # External spans (from Langfuse, user code, HTTP headers, global context) must not be closed by LiteLLM - # However, proxy-created spans should be closed here + # However, proxy-created spans should be closed here. if ( parent_span is not None and hasattr(parent_span, "name") @@ -867,6 +962,11 @@ class OpenTelemetry(CustomLogger): ): parent_span.end(end_time=self._to_ns(end_time)) + # close the proxy span explicitly from kwargs metadata + # after all child spans (litellm_request, guardrail, raw_request) + # have been fully recorded and exported. + self._end_proxy_span_from_kwargs(kwargs, end_time) + def _start_primary_span( self, kwargs, @@ -1296,6 +1396,21 @@ class OpenTelemetry(CustomLogger): for guardrail_information in guardrail_information_list: start_time_float = guardrail_information.get("start_time") end_time_float = guardrail_information.get("end_time") + + # ``_create_guardrail_span`` is called from three lifecycle + # points (``async_post_call_success_hook``, ``_handle_success``, + # ``_handle_failure``) and re-reads the (mutating) entry list + # each time. Dedupe at entry granularity so a single real + # guardrail invocation produces exactly one span per handler. + if not self._emit_once( + kwargs, + "guardrail", + guardrail_information.get("guardrail_name"), + start_time_float, + guardrail_information.get("guardrail_mode"), + ): + continue + start_time_datetime = datetime.now() if start_time_float is not None: start_time_datetime = datetime.fromtimestamp(start_time_float) @@ -1349,6 +1464,21 @@ class OpenTelemetry(CustomLogger): kwargs, self.config, ) + + # sync + async failure handlers can both fire for one + # request (notably in streaming code paths), producing two + # semantically identical ERROR spans. Unlike the success path, the + # proxy span is intentionally left open here so that + # ``async_post_call_failure_hook`` can append the + # "Failed Proxy Server Request" child span before closing it — + # there is no proxy-span side-effect to preserve on the skip path. + if not self._emit_once(kwargs, "failure"): + verbose_logger.debug( + "OpenTelemetry: skipping duplicate failure span for handler=%s", + self.__class__.__name__, + ) + return + _parent_context, parent_otel_span = self._get_span_context(kwargs) if self.config.ignore_context_propagation: @@ -1771,17 +1901,41 @@ class OpenTelemetry(CustomLogger): value=safe_dumps(transformed_messages), ) - if kwargs.get("system_instructions"): - transformed_system_instructions = ( - self._transform_messages_to_otel_semantic_conventions( - kwargs.get("system_instructions") + # Coalesce the different kwarg names that carry the system + # prompt depending on the call path: + # - "system_instructions" — Vertex AI Gemini chat-completion + # - "instructions" — OpenAI Responses API + # - "system" — Anthropic Messages API + # Use `is not None` rather than truthiness to avoid falsy + # values (e.g. []) falling through to the wrong kwarg. + system_instructions = ( + kwargs.get("system_instructions") + if kwargs.get("system_instructions") is not None + else ( + kwargs.get("instructions") + if kwargs.get("instructions") is not None + else kwargs.get("system") + ) + ) + if system_instructions: + if isinstance(system_instructions, str): + # Plain text system prompt — no transformation needed + self.safe_set_attribute( + span=span, + key=SpanAttributes.GEN_AI_SYSTEM_INSTRUCTIONS.value, + value=system_instructions, + ) + else: + transformed_system_instructions = ( + self._transform_messages_to_otel_semantic_conventions( + system_instructions + ) + ) + self.safe_set_attribute( + span=span, + key=SpanAttributes.GEN_AI_SYSTEM_INSTRUCTIONS.value, + value=safe_dumps(transformed_system_instructions), ) - ) - self.safe_set_attribute( - span=span, - key=SpanAttributes.GEN_AI_SYSTEM_INSTRUCTIONS.value, - value=safe_dumps(transformed_system_instructions), - ) self.safe_set_attribute( span=span, @@ -1840,6 +1994,57 @@ class OpenTelemetry(CustomLogger): value=value, ) + elif response_obj.get("output"): + # Responses API: ResponsesAPIResponse has an "output" + # list instead of "choices". Each item with + # type="message" contains a "content" list of + # OutputText objects (type="output_text"). + output_items = response_obj.get("output") + output_messages = self._transform_responses_api_output_to_otel( + output_items + ) + if output_messages: + self.safe_set_attribute( + span=span, + key=SpanAttributes.GEN_AI_OUTPUT_MESSAGES.value, + value=safe_dumps(output_messages), + ) + + # Emit per-tool-call span attributes (parity with + # the choices branch that calls _tool_calls_kv_pair). + # Convert Responses API function_call items to the + # ChatCompletionMessageToolCall format expected by + # _tool_calls_kv_pair. + tool_calls = [] + for out_item in output_items: + item_d = self._to_dict(out_item) + if item_d and item_d.get("type") == "function_call": + tool_calls.append( + { + "function": { + "name": item_d.get("name", ""), + "arguments": item_d.get("arguments", ""), + } + } + ) + if tool_calls: + kv_pairs = OpenTelemetry._tool_calls_kv_pair(tool_calls) # type: ignore + for key, value in kv_pairs.items(): + self.safe_set_attribute( + span=span, + key=key, + value=value, + ) + + # Extract finish reason from ResponsesAPIResponse.status + status = response_obj.get("status") + if status: + self.safe_set_attribute( + span=span, + key=SpanAttributes.GEN_AI_RESPONSE_FINISH_REASONS.value, + value=safe_dumps([status]), + ) + except Exception as e: self.handle_callback_failure( callback_name=self.callback_name or "opentelemetry" @@ -1935,6 +2140,78 @@ class OpenTelemetry(CustomLogger): transformed.append(transformed_msg) return transformed + @staticmethod + def _to_dict(obj) -> Optional[dict]: + """Normalize an object to a plain dict. + + Handles three forms that appear in practice: + + 1. Plain ``dict`` — returned as-is. + 2. LiteLLM's ``BaseLiteLLMOpenAIResponseObject`` — exposes a + ``.get()`` method that delegates to ``__dict__``. + 3. Raw Pydantic v2 models from the ``openai`` SDK (e.g. + ``ResponseOutputMessage``, ``ResponseOutputText``) — these do + **not** have ``.get()`` but do have ``.model_dump()``. + + Returns ``None`` for anything else so callers can skip it. + """ + if isinstance(obj, dict): + return obj + if hasattr(obj, "get"): + # BaseLiteLLMOpenAIResponseObject duck-type + return obj # type: ignore[return-value] + if hasattr(obj, "model_dump"): + # Raw Pydantic v2 model (e.g. openai SDK types) + return obj.model_dump() # type: ignore[union-attr] + return None + + def _transform_responses_api_output_to_otel(self, output: List) -> List[dict]: + """ + Transform Responses API output items into OTEL GenAI 1.38 format. + + The Responses API returns output as a list of items, each with a + ``type`` field. Message items (``type="message"``) contain a + ``content`` list of ``OutputText`` objects with ``type="output_text"`` + and ``text`` fields. + + Items may be plain dicts, LiteLLM wrapper objects (with ``.get()``), + or raw Pydantic v2 models from the ``openai`` SDK (with + ``.model_dump()``). We normalize each item to a dict via + ``_to_dict`` before processing. + + This method converts them to the same ``{"role": ..., "parts": [...]}`` + format used by ``_transform_choices_to_otel_semantic_conventions``. + """ + transformed = [] + for raw_item in output: + item = self._to_dict(raw_item) + if item is None: + continue + if item.get("type") == "message": + role = item.get("role", "assistant") + parts = [] + for raw_content in item.get("content", []): + content = self._to_dict(raw_content) + if content is None: + continue + if content.get("type") == "output_text": + text = content.get("text", "") + if text: + parts.append({"type": "text", "content": text}) + if parts: + transformed.append({"role": role, "parts": parts}) + elif item.get("type") == "function_call": + # Surface tool calls from Responses API output + part: dict = { + "type": "tool_call", + "name": item.get("name", ""), + "arguments": item.get("arguments", ""), + } + if item.get("call_id"): + part["id"] = item["call_id"] + transformed.append({"role": "assistant", "parts": [part]}) + return transformed + def set_raw_request_attributes(self, span: Span, kwargs, response_obj): try: # Only set provider-specific raw payload attributes on this span. @@ -2041,7 +2318,7 @@ class OpenTelemetry(CustomLogger): verbose_logger.debug( "OpenTelemetry: Using explicit parent span from metadata" ) - return trace.set_span_in_context(parent_otel_span), parent_otel_span + return trace.set_span_in_context(parent_otel_span), None # Priority 2: HTTP traceparent header if traceparent is not None: diff --git a/litellm/litellm_core_utils/audio_utils/utils.py b/litellm/litellm_core_utils/audio_utils/utils.py index 2141df18738..82f5c27f836 100644 --- a/litellm/litellm_core_utils/audio_utils/utils.py +++ b/litellm/litellm_core_utils/audio_utils/utils.py @@ -53,8 +53,19 @@ def process_audio_file(audio_file: FileTypes) -> ProcessedAudioFile: # Raw bytes filename = "audio.wav" file_content = bytes(audio_file) - elif isinstance(audio_file, (str, os.PathLike)): - # File path or PathLike + elif isinstance(audio_file, str): + # Bare strings are rejected — see extract_file_data for the same + # rationale: in a proxy request handler the string is + # attacker-controlled, and opening it as a path is an arbitrary + # file read. + raise ValueError( + "process_audio_file does not accept bare str inputs. Pass bytes, " + "an open file handle, a (filename, content) tuple, or a " + "pathlib.Path." + ) + elif isinstance(audio_file, os.PathLike): + # File path or PathLike — PathLike is a Python-level type that + # HTTP form values can't fabricate. file_path = str(audio_file) with open(file_path, "rb") as f: file_content = f.read() @@ -66,8 +77,14 @@ def process_audio_file(audio_file: FileTypes) -> ProcessedAudioFile: content = audio_file[1] if isinstance(content, (bytes, bytearray)): file_content = bytes(content) - elif isinstance(content, (str, os.PathLike)): - # File path or PathLike + elif isinstance(content, str): + raise ValueError( + "process_audio_file does not accept bare str tuple " + "contents. Pass bytes, an open file handle, or a " + "pathlib.Path." + ) + elif isinstance(content, os.PathLike): + # PathLike: SDK convenience for local-file uploads. with open(str(content), "rb") as f: file_content = f.read() elif hasattr(content, "read"): @@ -149,7 +166,14 @@ def get_audio_file_content_hash(file_obj: FileTypes) -> str: try: if isinstance(file_content_obj, (bytes, bytearray)): file_content = bytes(file_content_obj) - elif isinstance(file_content_obj, (str, os.PathLike)): + elif isinstance(file_content_obj, str): + # Bare strings are not treated as file paths in this helper — + # the cache-key path is reached from request handlers where the + # value is attacker-controlled. Fall back to hashing the string + # itself rather than opening it. + fallback_filename = file_content_obj + file_content = None + elif isinstance(file_content_obj, os.PathLike): try: with open(str(file_content_obj), "rb") as f: file_content = f.read() @@ -229,8 +253,15 @@ def calculate_request_duration(file: FileTypes) -> Optional[float]: if isinstance(file, (bytes, bytearray)): # Raw bytes file_content = bytes(file) - elif isinstance(file, (str, os.PathLike)): - # File path + elif isinstance(file, str): + # Bare strings are rejected — see extract_file_data. + raise ValueError( + "calculate_request_duration does not accept bare str inputs. " + "Pass bytes, an open file handle, a (filename, content) " + "tuple, or a pathlib.Path." + ) + elif isinstance(file, os.PathLike): + # File path (PathLike): SDK convenience. with open(str(file), "rb") as f: file_content = f.read() elif isinstance(file, tuple): diff --git a/litellm/litellm_core_utils/litellm_logging.py b/litellm/litellm_core_utils/litellm_logging.py index a815442c2f9..c73d914e6cc 100644 --- a/litellm/litellm_core_utils/litellm_logging.py +++ b/litellm/litellm_core_utils/litellm_logging.py @@ -1212,7 +1212,7 @@ class Logging(LiteLLMLoggingBaseClass): # Log the exact result from the LLM API, for streaming - log the type of response received litellm.error_logs["POST_CALL"] = locals() if isinstance(original_response, dict): - original_response = json.dumps(original_response) + original_response = json.dumps(original_response, default=str) try: self.model_call_details["input"] = input self.model_call_details["api_key"] = api_key diff --git a/litellm/litellm_core_utils/prompt_templates/common_utils.py b/litellm/litellm_core_utils/prompt_templates/common_utils.py index 52269d705d0..f417b4a5f61 100644 --- a/litellm/litellm_core_utils/prompt_templates/common_utils.py +++ b/litellm/litellm_core_utils/prompt_templates/common_utils.py @@ -755,14 +755,25 @@ def extract_file_data(file_data: FileTypes) -> ExtractedFileData: else: file_content = file_data # Convert content to bytes - if isinstance(file_content, (str, PathLike)): - # If it's a path, open and read the file - # Extract filename from path if not already set + if isinstance(file_content, str): + # Bare string inputs are rejected: when this helper runs in a proxy + # request handler the string came from an attacker-controlled form + # field, and opening it as a path is an arbitrary file read on the + # proxy host. SDK callers who want to upload from a path should + # either pass a pathlib.Path (a PathLike instance — see the branch + # below) or open the file themselves and pass the handle / bytes. + raise ValueError( + "extract_file_data does not accept bare str inputs. Pass bytes, " + "an open file handle, a (filename, content) tuple, or a " + "pathlib.Path. To upload a local file from a path, call " + "open(path, 'rb') yourself." + ) + if isinstance(file_content, PathLike): + # PathLike (pathlib.Path) is a Python-level type that HTTP form + # values can't fabricate. Treat as a local file path for SDK + # convenience. if filename is None: - if isinstance(file_content, PathLike): - filename = Path(file_content).name - else: - filename = Path(str(file_content)).name + filename = Path(file_content).name with open(file_content, "rb") as f: content = f.read() elif isinstance(file_content, io.IOBase): diff --git a/litellm/llms/anthropic/chat/transformation.py b/litellm/llms/anthropic/chat/transformation.py index 2f11a3fccb5..1ce80207552 100644 --- a/litellm/llms/anthropic/chat/transformation.py +++ b/litellm/llms/anthropic/chat/transformation.py @@ -1809,9 +1809,7 @@ class AnthropicConfig(AnthropicModelInfo, BaseConfig): Translate messages to anthropic format. """ ## VALIDATE REQUEST - """ - Anthropic doesn't support tool calling without `tools=` param specified. - """ + """Anthropic requires ``tools`` when messages include tool blocks; LiteLLM injects a dummy tool if omitted (no ``modify_params`` needed).""" from litellm.litellm_core_utils.prompt_templates.factory import ( anthropic_messages_pt, ) @@ -1821,16 +1819,9 @@ class AnthropicConfig(AnthropicModelInfo, BaseConfig): and messages is not None and has_tool_call_blocks(messages) ): - if litellm.modify_params: - optional_params["tools"], _ = self._map_tools( - add_dummy_tool(custom_llm_provider="anthropic") - ) - else: - raise litellm.UnsupportedParamsError( - message="Anthropic doesn't support tool calling without `tools=` param specified. Pass `tools=` param OR set `litellm.modify_params = True` // `litellm_settings::modify_params: True` to add dummy tool to the request.", - model="", - llm_provider="anthropic", - ) + optional_params["tools"], _ = self._map_tools( + add_dummy_tool(custom_llm_provider="anthropic") + ) # Drop thinking param if thinking is enabled but thinking_blocks are missing # This prevents the error: "Expected thinking or redacted_thinking, but found tool_use" diff --git a/litellm/llms/bedrock/base_aws_llm.py b/litellm/llms/bedrock/base_aws_llm.py index 0885775932c..9dd2b055a12 100644 --- a/litellm/llms/bedrock/base_aws_llm.py +++ b/litellm/llms/bedrock/base_aws_llm.py @@ -1428,7 +1428,13 @@ class BaseAWSLLM: def _sign_request( self, - service_name: Literal["bedrock", "sagemaker", "bedrock-agentcore", "s3vectors"], + service_name: Literal[ + "bedrock", + "sagemaker", + "bedrock-agentcore", + "s3vectors", + "aws-external-anthropic", + ], headers: dict, optional_params: dict, request_data: dict, diff --git a/litellm/llms/bedrock/batches/handler.py b/litellm/llms/bedrock/batches/handler.py index f141bbd9ab4..c071f331337 100644 --- a/litellm/llms/bedrock/batches/handler.py +++ b/litellm/llms/bedrock/batches/handler.py @@ -1,8 +1,79 @@ +from datetime import datetime +from typing import Any, Optional, cast + from openai.types.batch import BatchRequestCounts from openai.types.batch import Metadata as OpenAIBatchMetadata from litellm.types.utils import LiteLLMBatch +# AWS Bedrock model-invocation-job statuses → OpenAI Batch statuses. +# Mirrors the mapping used by `BedrockBatchesConfig.transform_create_batch_response` +# so create / retrieve return consistent statuses. +_BEDROCK_MIJ_STATUS_TO_OPENAI = { + "Submitted": "validating", + "Validating": "validating", + "Scheduled": "validating", + "InProgress": "in_progress", + "Stopping": "cancelling", + "Stopped": "cancelled", + "Completed": "completed", + "PartiallyCompleted": "completed", + "Failed": "failed", + "Expired": "expired", +} + + +def _extract_region_from_bedrock_arn(arn: str) -> Optional[str]: + """ARN shape: ``arn:aws:bedrock:::/``""" + try: + parts = arn.split(":") + if len(parts) >= 4 and parts[2] == "bedrock": + return parts[3] or None + except Exception: + pass + return None + + +def _extract_job_id_from_arn(arn: str) -> Optional[str]: + """``arn:aws:bedrock:::model-invocation-job/`` -> ````.""" + if ":model-invocation-job/" not in arn: + return None + return arn.rsplit("/", 1)[-1] or None + + +def _predict_output_file_uri( + output_prefix: str, input_uri: str, job_id: Optional[str] +) -> Optional[str]: + """ + Compute the deterministic per-job result file URI Bedrock writes to. + + Bedrock lays results out as:: + + //.out + + We compute it client-side so OpenAI-style ``client.files.content(output_file_id)`` + works without an extra S3 ``ListObjectsV2`` round-trip. Returns ``None`` if we + don't have enough info; callers should fall back to the bare prefix. + """ + if not output_prefix or not input_uri or not job_id: + return None + if not output_prefix.endswith("/"): + output_prefix = output_prefix + "/" + input_basename = input_uri.rsplit("/", 1)[-1] + if not input_basename: + return None + return f"{output_prefix}{job_id}/{input_basename}.out" + + +def _to_epoch(value: Any) -> Optional[int]: + if value is None: + return None + if isinstance(value, (int, float)): + return int(value) + if isinstance(value, datetime): + return int(value.timestamp()) + return None + class BedrockBatchesHandler: """ @@ -97,3 +168,173 @@ class BedrockBatchesHandler: with concurrent.futures.ThreadPoolExecutor() as executor: future = executor.submit(run_in_thread) return future.result() + + @staticmethod + def _handle_model_invocation_job_status( + batch_id: str, + aws_region_name: Optional[str] = None, + logging_obj=None, + **kwargs, + ) -> "LiteLLMBatch": + """ + Handle ``GetModelInvocationJob`` status check for AWS Bedrock bulk batch + inference jobs (the ARN type returned by ``CreateModelInvocationJob``). + + ``CreateModelInvocationJob`` lives on the Bedrock **control plane** + (``bedrock..amazonaws.com``), distinct from the data-plane + ``bedrock-runtime`` endpoint that serves Twelve Labs async-invoke ARNs. + The two ARN families therefore can't share a handler — see + ``litellm/batches/main.py`` for the dispatch. + + Args: + batch_id: A ``arn:aws:bedrock:::model-invocation-job/`` + ARN (or just the trailing job id; both are accepted by + ``GetModelInvocationJob``). + aws_region_name: Region for the boto3 ``bedrock`` client. If omitted, + we fall back to parsing the region out of ``batch_id`` itself. + logging_obj: Optional litellm logging object. + **kwargs: Optional AWS credential overrides + (``aws_access_key_id``, ``aws_secret_access_key``, + ``aws_session_token``, ``aws_profile_name``, + ``aws_role_name``, ``aws_session_name``, + ``aws_web_identity_token``, ``aws_sts_endpoint``, + ``aws_external_id``). Unknown keys are ignored. + + Returns: + ``LiteLLMBatch`` shaped like an OpenAI Batch resource. Note that + ``request_counts`` is always ``(0, 0, 0)`` because + ``GetModelInvocationJob`` does not surface per-record counts; + callers that need accurate counts should parse + ``manifest.json.out`` from the output S3 prefix. + """ + try: + import boto3 + except ImportError as exc: + raise ImportError( + "Missing boto3 to call bedrock. Run 'pip install boto3'." + ) from exc + + # Resolve region: explicit > parsed-from-ARN > us-east-1 (boto3 default). + region = ( + aws_region_name or _extract_region_from_bedrock_arn(batch_id) or "us-east-1" + ) + + # Resolve credentials through the same path the rest of the bedrock + # provider uses, so model_list / env / role-assumption configs are + # honored. We instantiate BedrockBatchesConfig (which extends + # BaseAWSLLM) lazily to avoid a circular import at module load. + from litellm.llms.bedrock.batches.transformation import BedrockBatchesConfig + + creds = BedrockBatchesConfig().get_credentials( + aws_access_key_id=kwargs.get("aws_access_key_id"), + aws_secret_access_key=kwargs.get("aws_secret_access_key"), + aws_session_token=kwargs.get("aws_session_token"), + aws_region_name=region, + aws_session_name=kwargs.get("aws_session_name"), + aws_profile_name=kwargs.get("aws_profile_name"), + aws_role_name=kwargs.get("aws_role_name"), + aws_web_identity_token=kwargs.get("aws_web_identity_token"), + aws_sts_endpoint=kwargs.get("aws_sts_endpoint"), + aws_external_id=kwargs.get("aws_external_id"), + ) + + client = boto3.client( + "bedrock", + region_name=region, + aws_access_key_id=creds.access_key, + aws_secret_access_key=creds.secret_key, + aws_session_token=creds.token, + ) + + if logging_obj is not None: + # Use the bare job id in the logged URL so we don't double up the + # `model-invocation-job/` segment when `batch_id` is a full ARN. + # `GetModelInvocationJob` accepts either form, but only the bare id + # produces a sensible-looking URL in logs. + url_path_id = _extract_job_id_from_arn(batch_id) or batch_id + logging_obj.pre_call( + input=batch_id, + api_key="", + additional_args={ + "complete_input_dict": {"jobIdentifier": batch_id}, + "api_base": ( + f"https://bedrock.{region}.amazonaws.com/" + f"model-invocation-job/{url_path_id}" + ), + }, + ) + + response = client.get_model_invocation_job(jobIdentifier=batch_id) + + if logging_obj is not None: + logging_obj.post_call( + input=batch_id, + api_key="", + original_response=response, + additional_args={"complete_input_dict": {"jobIdentifier": batch_id}}, + ) + + bedrock_status = str(response.get("status", "")) + openai_status = cast( + Any, + _BEDROCK_MIJ_STATUS_TO_OPENAI.get(bedrock_status, "in_progress"), + ) + + input_uri = ( + response.get("inputDataConfig", {}) + .get("s3InputDataConfig", {}) + .get("s3Uri", "") + ) + output_prefix = ( + response.get("outputDataConfig", {}) + .get("s3OutputDataConfig", {}) + .get("s3Uri", "") + ) + + # Bedrock returns the output *prefix* the user supplied at job creation. + # Actual results land at //.out — we + # surface that single-file URI as `output_file_id` so the OpenAI-style + # download flow works without an extra S3 listing call. We deliberately + # do NOT fall back to the bare prefix when prediction fails: a prefix + # is not a downloadable object, so handing it back as `output_file_id` + # would reproduce the very NoSuchKey bug this handler exists to fix. + # The bare prefix is preserved in metadata for callers that want the + # `manifest.json.out` or want to do their own listing. + job_arn = response.get("jobArn", batch_id) + job_id = _extract_job_id_from_arn(job_arn) + output_file_uri = _predict_output_file_uri(output_prefix, input_uri, job_id) + + completed_at = _to_epoch(response.get("endTime")) + + # Note: metadata uses "" (not None) for unknown URIs to satisfy the + # OpenAI Batch metadata schema, which is `dict[str, str]`. The + # `output_file_id` field on the LiteLLMBatch itself does carry None + # correctly (see below), so callers should branch on that, not on + # `metadata["output_file_uri"]`. + openai_batch_metadata: OpenAIBatchMetadata = { + "model_arn": response.get("modelId", ""), + "job_arn": job_arn, + "job_name": response.get("jobName", ""), + "failure_message": response.get("message") or "", + "input_s3_uri": input_uri, + "output_s3_uri": output_prefix, + "output_file_uri": output_file_uri or "", + } + + return LiteLLMBatch( + id=job_arn, + object="batch", + status=openai_status, + created_at=_to_epoch(response.get("submitTime")) or 0, + in_progress_at=_to_epoch(response.get("lastModifiedTime")), + completed_at=completed_at if openai_status == "completed" else None, + failed_at=completed_at if openai_status == "failed" else None, + cancelled_at=completed_at if openai_status == "cancelled" else None, + expired_at=completed_at if openai_status == "expired" else None, + request_counts=BatchRequestCounts(total=0, completed=0, failed=0), + metadata=openai_batch_metadata, + completion_window="24h", + endpoint="/v1/chat/completions", + input_file_id=input_uri, + output_file_id=output_file_uri if openai_status == "completed" else None, + ) diff --git a/litellm/llms/bedrock/claude_platform/__init__.py b/litellm/llms/bedrock/claude_platform/__init__.py new file mode 100644 index 00000000000..88d4e9783c7 --- /dev/null +++ b/litellm/llms/bedrock/claude_platform/__init__.py @@ -0,0 +1,8 @@ +from .transformation import ( + BedrockClaudePlatformConfig, +) +from .messages_transformation import ( + BedrockClaudePlatformMessagesConfig, +) + +__all__ = ["BedrockClaudePlatformConfig", "BedrockClaudePlatformMessagesConfig"] diff --git a/litellm/llms/bedrock/claude_platform/common_utils.py b/litellm/llms/bedrock/claude_platform/common_utils.py new file mode 100644 index 00000000000..121221518c8 --- /dev/null +++ b/litellm/llms/bedrock/claude_platform/common_utils.py @@ -0,0 +1,107 @@ +from typing import Literal, Optional, Tuple + +import litellm +from litellm.llms.bedrock.base_aws_llm import BaseAWSLLM +from litellm.secret_managers.main import get_secret_str + + +CLAUDE_PLATFORM_SERVICE_NAME: Literal["aws-external-anthropic"] = ( + "aws-external-anthropic" +) +CLAUDE_PLATFORM_BEDROCK_ROUTE = "claude_platform/" + + +def strip_claude_platform_route(model: str) -> str: + if model.startswith(CLAUDE_PLATFORM_BEDROCK_ROUTE): + return model.replace(CLAUDE_PLATFORM_BEDROCK_ROUTE, "", 1) + return model + + +class BedrockClaudePlatformMixin(BaseAWSLLM): + @staticmethod + def _get_workspace_id(optional_params: dict, litellm_params: dict) -> Optional[str]: + workspace_id = ( + optional_params.get("workspace_id") + or litellm_params.get("workspace_id") + or optional_params.get("aws_workspace_id") + or litellm_params.get("aws_workspace_id") + or optional_params.get("anthropic-workspace-id") + or litellm_params.get("anthropic-workspace-id") + ) + if workspace_id is None: + workspace_id = optional_params.get( + "anthropic_workspace_id" + ) or litellm_params.get("anthropic_workspace_id") + if workspace_id is not None: + return str(workspace_id) + return get_secret_str("ANTHROPIC_AWS_WORKSPACE_ID") or get_secret_str( + "ANTHROPIC_WORKSPACE_ID" + ) + + def _get_required_aws_region_name(self, optional_params: dict) -> str: + aws_region_name = ( + optional_params.get("aws_region_name") + or get_secret_str("AWS_REGION_NAME") + or get_secret_str("AWS_REGION") + or get_secret_str("AWS_DEFAULT_REGION") + ) + if aws_region_name is None: + raise litellm.AuthenticationError( + message=( + "Missing AWS region for Claude Platform on AWS. Pass " + "`aws_region_name` or set a standard AWS region environment value." + ), + llm_provider="bedrock", + model="", + ) + self._validate_aws_region_name(str(aws_region_name)) + return str(aws_region_name) + + def get_complete_url( + self, + api_base: Optional[str], + api_key: Optional[str], + model: str, + optional_params: dict, + litellm_params: dict, + stream: Optional[bool] = None, + ) -> str: + api_base = ( + api_base + or litellm.api_base + or get_secret_str("ANTHROPIC_AWS_BASE_URL") + or get_secret_str("ANTHROPIC_AWS_API_BASE") + ) + if api_base is None: + aws_region_name = self._get_required_aws_region_name(optional_params) + api_base = ( + f"https://{CLAUDE_PLATFORM_SERVICE_NAME}.{aws_region_name}.api.aws" + ) + if not api_base.endswith("/v1/messages"): + api_base = f"{api_base.rstrip('/')}/v1/messages" + return api_base + + def sign_request( + self, + headers: dict, + optional_params: dict, + request_data: dict, + api_base: str, + api_key: Optional[str] = None, + model: Optional[str] = None, + stream: Optional[bool] = None, + fake_stream: Optional[bool] = None, + ) -> Tuple[dict, Optional[bytes]]: + if api_key or get_secret_str("ANTHROPIC_AWS_API_KEY"): + return headers, None + + return self._sign_request( + service_name=CLAUDE_PLATFORM_SERVICE_NAME, + headers=headers, + optional_params=optional_params, + request_data=request_data, + api_base=api_base, + model=model, + stream=stream, + fake_stream=fake_stream, + ) diff --git a/litellm/llms/bedrock/claude_platform/messages_transformation.py b/litellm/llms/bedrock/claude_platform/messages_transformation.py new file mode 100644 index 00000000000..66158196322 --- /dev/null +++ b/litellm/llms/bedrock/claude_platform/messages_transformation.py @@ -0,0 +1,71 @@ +from typing import Any, Dict, List, Optional, Tuple + +import litellm +from litellm.llms.anthropic.experimental_pass_through.messages.transformation import ( + DEFAULT_ANTHROPIC_API_VERSION, + AnthropicMessagesConfig, +) +from litellm.secret_managers.main import get_secret_str +from litellm.types.router import GenericLiteLLMParams + +from .common_utils import BedrockClaudePlatformMixin, strip_claude_platform_route + + +class BedrockClaudePlatformMessagesConfig( + BedrockClaudePlatformMixin, AnthropicMessagesConfig +): + def validate_anthropic_messages_environment( + self, + headers: dict, + model: str, + messages: List[Any], + optional_params: dict, + litellm_params: dict, + api_key: Optional[str] = None, + api_base: Optional[str] = None, + ) -> Tuple[dict, Optional[str]]: + workspace_id = self._get_workspace_id(optional_params, litellm_params) + if workspace_id is None: + raise litellm.AuthenticationError( + message=( + "Missing workspace ID for Claude Platform on AWS. Pass " + "`workspace_id` or configure the provider workspace setting." + ), + llm_provider="bedrock", + model=model, + ) + + resolved_api_key = api_key or get_secret_str("ANTHROPIC_AWS_API_KEY") + headers = { + **headers, + "anthropic-version": headers.get( + "anthropic-version", DEFAULT_ANTHROPIC_API_VERSION + ), + "content-type": headers.get("content-type", "application/json"), + "anthropic-workspace-id": workspace_id, + } + if resolved_api_key and "x-api-key" not in headers: + headers["x-api-key"] = resolved_api_key + + headers = self._update_headers_with_anthropic_beta( + headers=headers, + optional_params=optional_params, + ) + + return headers, api_base + + def transform_anthropic_messages_request( + self, + model: str, + messages: List[Dict], + anthropic_messages_optional_request_params: Dict, + litellm_params: GenericLiteLLMParams, + headers: dict, + ) -> Dict: + return super().transform_anthropic_messages_request( + model=strip_claude_platform_route(model), + messages=messages, + anthropic_messages_optional_request_params=anthropic_messages_optional_request_params, + litellm_params=litellm_params, + headers=headers, + ) diff --git a/litellm/llms/bedrock/claude_platform/transformation.py b/litellm/llms/bedrock/claude_platform/transformation.py new file mode 100644 index 00000000000..0167c457c96 --- /dev/null +++ b/litellm/llms/bedrock/claude_platform/transformation.py @@ -0,0 +1,94 @@ +from typing import Any, Dict, List, Optional + +import litellm +from litellm.llms.anthropic.chat.transformation import AnthropicConfig +from litellm.secret_managers.main import get_secret_str +from litellm.types.llms.openai import AllMessageValues + +from .common_utils import BedrockClaudePlatformMixin + + +class BedrockClaudePlatformConfig(BedrockClaudePlatformMixin, AnthropicConfig): + """ + Bedrock Claude Platform uses Anthropic's Messages API with AWS gateway auth. + """ + + @property + def custom_llm_provider(self) -> Optional[str]: + return "bedrock" + + def validate_environment( + self, + headers: dict, + model: str, + messages: List[AllMessageValues], + optional_params: dict, + litellm_params: dict, + api_key: Optional[str] = None, + api_base: Optional[str] = None, + ) -> Dict: + workspace_id = self._get_workspace_id(optional_params, litellm_params) + if workspace_id is None: + raise litellm.AuthenticationError( + message=( + "Missing workspace ID for Claude Platform on AWS. Pass " + "`workspace_id` or configure the provider workspace setting." + ), + llm_provider="bedrock", + model=model, + ) + + api_key = api_key or get_secret_str("ANTHROPIC_AWS_API_KEY") + anthropic_headers = self.get_anthropic_headers( + api_key=api_key, + auth_token=None, + computer_tool_used=self.is_computer_tool_used( + tools=optional_params.get("tools") + ), + prompt_caching_set=self.is_cache_control_set(messages=messages), + pdf_used=self.is_pdf_used(messages=messages), + file_id_used=self.is_file_id_used(messages=messages), + mcp_server_used=self.is_mcp_server_used( + mcp_servers=optional_params.get("mcp_servers") + ), + web_search_tool_used=self.is_web_search_tool_used( + tools=optional_params.get("tools") + ), + tool_search_used=self.is_tool_search_used( + tools=optional_params.get("tools") + ), + programmatic_tool_calling_used=self.is_programmatic_tool_calling_used( + tools=optional_params.get("tools") + ), + input_examples_used=self.is_input_examples_used( + tools=optional_params.get("tools") + ), + effort_used=self.is_effort_used( + optional_params=optional_params, model=model + ), + user_anthropic_beta_headers=self._get_user_anthropic_beta_headers( + anthropic_beta_header=headers.get("anthropic-beta") + ), + code_execution_tool_used=self.is_code_execution_tool_used( + tools=optional_params.get("tools") + ), + container_with_skills_used=self.is_container_with_skills_used( + optional_params=optional_params + ), + ) + anthropic_headers["anthropic-workspace-id"] = workspace_id + return {**headers, **anthropic_headers} + + def get_model_response_iterator( + self, + streaming_response: Any, + sync_stream: bool, + json_mode: Optional[bool] = False, + ) -> Any: + from litellm.llms.anthropic.chat.handler import ModelResponseIterator + + return ModelResponseIterator( + streaming_response=streaming_response, + sync_stream=sync_stream, + json_mode=bool(json_mode), + ) diff --git a/litellm/llms/bedrock/common_utils.py b/litellm/llms/bedrock/common_utils.py index 856a525f773..0256d5d4b95 100644 --- a/litellm/llms/bedrock/common_utils.py +++ b/litellm/llms/bedrock/common_utils.py @@ -692,6 +692,7 @@ class BedrockModelInfo(BaseLLMModelInfo): ) -> Literal[ "converse", "invoke", + "claude_platform", "converse_like", "agent", "agentcore", @@ -706,6 +707,7 @@ class BedrockModelInfo(BaseLLMModelInfo): str, Literal[ "invoke", + "claude_platform", "converse_like", "converse", "agent", @@ -716,6 +718,7 @@ class BedrockModelInfo(BaseLLMModelInfo): ], ] = { "invoke/": "invoke", + "claude_platform/": "claude_platform", "converse_like/": "converse_like", "converse/": "converse", "agent/": "agent", @@ -753,6 +756,36 @@ class BedrockModelInfo(BaseLLMModelInfo): """ return "converse/" in model + @staticmethod + def _explicit_claude_platform_route(model: str) -> bool: + """ + Check if the model is an explicit Claude Platform on AWS route. + """ + return "claude_platform/" in model + + @staticmethod + def get_claude_platform_model(model: str) -> str: + """ + Strip the Claude Platform route prefix from a Bedrock model name. + """ + return model.replace("claude_platform/", "", 1) + + @staticmethod + def map_claude_platform_auth_params( + passed_params: dict, optional_params: dict + ) -> dict: + """ + Map Claude Platform route auth params that are not OpenAI request params. + """ + for key in ( + "workspace_id", + "aws_workspace_id", + "anthropic_workspace_id", + ): + if key in passed_params: + optional_params[key] = passed_params[key] + return optional_params + @staticmethod def _explicit_invoke_route(model: str) -> bool: """ @@ -815,6 +848,12 @@ class BedrockModelInfo(BaseLLMModelInfo): All other routes should return None since they will go through litellm.completion """ + ######################################################### + # Claude Platform route uses Anthropic Messages API via the AWS gateway. + ######################################################### + if BedrockModelInfo._explicit_claude_platform_route(model): + return litellm.BedrockClaudePlatformMessagesConfig() + ######################################################### # Converse routes should go through litellm.completion() if BedrockModelInfo._explicit_converse_route(model): @@ -860,7 +899,9 @@ def get_bedrock_chat_config(model: str): base_model = BedrockModelInfo.get_base_model(model) # Handle explicit routes first - if bedrock_route == "converse" or bedrock_route == "converse_like": + if bedrock_route == "claude_platform": + return litellm.BedrockClaudePlatformConfig() + elif bedrock_route == "converse" or bedrock_route == "converse_like": return litellm.AmazonConverseConfig() elif bedrock_route == "openai": return litellm.AmazonBedrockOpenAIConfig() diff --git a/litellm/llms/bedrock/messages/invoke_transformations/anthropic_claude3_transformation.py b/litellm/llms/bedrock/messages/invoke_transformations/anthropic_claude3_transformation.py index aae2bc5e289..151e0e404a0 100644 --- a/litellm/llms/bedrock/messages/invoke_transformations/anthropic_claude3_transformation.py +++ b/litellm/llms/bedrock/messages/invoke_transformations/anthropic_claude3_transformation.py @@ -408,6 +408,47 @@ class AmazonAnthropicClaudeMessagesConfig( if self._supports_tool_search_on_bedrock(model): beta_set.add("tool-search-tool-2025-10-19") + @staticmethod + def _filter_context_management_for_bedrock_invoke( + anthropic_messages_request: Dict, + beta_set: set, + ) -> None: + """ + Bedrock InvokeModel accepts ``context_management`` only when it carries + ``compact_20260112`` edits paired with the ``compact-2026-01-12`` + anthropic-beta header. Other edit types (notably ``clear_thinking_20251015``, + which Claude Code sends on every request) are LiteLLM-internal and would + cause Bedrock to 400 with ``"context_management: Extra inputs are not + permitted"``. + + Filter the edits list to the supported subset, add the beta header when + compact edits remain, and drop ``context_management`` entirely when no + supported edits are left so the safety-net allowlist can pass it through. + + Ref: https://github.com/BerriAI/litellm/issues/27532 + """ + cm = anthropic_messages_request.get("context_management") + if not isinstance(cm, dict): + return + edits = cm.get("edits") + if not isinstance(edits, list): + anthropic_messages_request.pop("context_management", None) + return + + compact_edits = [ + e + for e in edits + if isinstance(e, dict) and e.get("type") == "compact_20260112" + ] + if compact_edits: + beta_set.add("compact-2026-01-12") + anthropic_messages_request["context_management"] = { + **cm, + "edits": compact_edits, + } + else: + anthropic_messages_request.pop("context_management", None) + def _convert_output_format_to_inline_schema( self, output_format: Dict, @@ -551,6 +592,11 @@ class AmazonAnthropicClaudeMessagesConfig( if injected_thinking_for_clear_thinking: beta_set.add("interleaved-thinking-2025-05-14") + self._filter_context_management_for_bedrock_invoke( + anthropic_messages_request=anthropic_messages_request, + beta_set=beta_set, + ) + self._get_tool_search_beta_header_for_bedrock( model=model, tool_search_used=tool_search_used, @@ -597,8 +643,9 @@ class AmazonAnthropicClaudeMessagesConfig( anthropic_messages_request.pop("output_config", None) # 7. Final safety net: filter top-level fields to the Bedrock Invoke allowlist. - # Catches Anthropic-only extensions (context_management, output_config, speed, - # mcp_servers, ...) and any future additions Claude Code may start sending. + # Catches Anthropic-only extensions (output_config, speed, mcp_servers, ...) + # and any future additions Claude Code may start sending. ``context_management`` + # has already been pre-filtered to its Bedrock-supported subset above. allowed = self.BEDROCK_INVOKE_ALLOWED_TOP_LEVEL_FIELDS stripped = sorted(k for k in anthropic_messages_request if k not in allowed) if stripped: diff --git a/litellm/llms/openai/chat/gpt_5_transformation.py b/litellm/llms/openai/chat/gpt_5_transformation.py index 4e34d10b187..9ccb2e1c267 100644 --- a/litellm/llms/openai/chat/gpt_5_transformation.py +++ b/litellm/llms/openai/chat/gpt_5_transformation.py @@ -3,7 +3,10 @@ from typing import Optional, Union import litellm -from litellm.utils import _is_explicitly_disabled_factory, _supports_factory +from litellm.utils import ( + _is_explicitly_disabled_factory, + _supports_factory, +) from .gpt_transformation import OpenAIGPTConfig diff --git a/litellm/llms/ovhcloud/audio_transcription/transformation.py b/litellm/llms/ovhcloud/audio_transcription/transformation.py index 7ff6dc986be..f49f31d7ecd 100644 --- a/litellm/llms/ovhcloud/audio_transcription/transformation.py +++ b/litellm/llms/ovhcloud/audio_transcription/transformation.py @@ -156,5 +156,17 @@ class OVHCloudAudioTranscriptionConfig(BaseAudioTranscriptionConfig): text = response_json.get("text") or response_json.get("transcript") or "" response = TranscriptionResponse(text=text) + # OVHCloud field migration (deadline: 2026-05-11): + # `duration` is replaced by `seconds` in STT responses. + # Prefer `seconds`, fall back to `duration`, normalize to `duration` + # so downstream consumers see a consistent key. + duration = ( + response_json["seconds"] + if "seconds" in response_json and response_json["seconds"] is not None + else response_json.get("duration") + ) + if duration is not None: + response_json["duration"] = duration + response._hidden_params = response_json return response diff --git a/litellm/llms/ovhcloud/chat/transformation.py b/litellm/llms/ovhcloud/chat/transformation.py index ae9271ddb16..62f51f1e9da 100644 --- a/litellm/llms/ovhcloud/chat/transformation.py +++ b/litellm/llms/ovhcloud/chat/transformation.py @@ -13,6 +13,7 @@ from litellm.llms.openai.chat.gpt_transformation import OpenAIGPTConfig from litellm.llms.ovhcloud.utils import OVHCloudException from litellm.llms.base_llm.base_model_iterator import BaseModelResponseIterator from litellm.llms.base_llm.chat.transformation import BaseLLMException + from litellm.types.llms.openai import AllMessageValues @@ -98,10 +99,16 @@ class OVHCloudChatCompletionStreamingHandler(BaseModelResponseIterator): new_choices = [] for choice in chunk["choices"]: - if "delta" in choice and "reasoning" in choice["delta"]: - choice["delta"]["reasoning_content"] = choice["delta"].get( - "reasoning" - ) + if "delta" in choice: + delta = choice["delta"] + # OVHCloud field migration (deadline: 2026-05-11): + # `reasoning_content` is replaced by `reasoning`. + # Normalise to `reasoning_content` so downstream consumers + # see a consistent key during the transition window. + reasoning_new = delta.get("reasoning") + reasoning_legacy = delta.get("reasoning_content") + if reasoning_new is not None and reasoning_legacy is None: + delta["reasoning_content"] = reasoning_new new_choices.append(choice) return ModelResponseStream( diff --git a/litellm/main.py b/litellm/main.py index 051a82fdd19..c3d1c2e05b0 100644 --- a/litellm/main.py +++ b/litellm/main.py @@ -1,3 +1,5 @@ +# LiteLLM main module: public completion, embedding, streaming, and moderation entrypoints. +# # +-----------------------------------------------+ # | | # | Give Feedback / Get Help | @@ -59,7 +61,13 @@ import litellm from litellm import client # Other utils are imported directly to avoid circular imports -from litellm.utils import exception_type, get_litellm_params, get_optional_params +from litellm.utils import ( + exception_type, + get_litellm_params, + get_optional_params, + peek_reasoning_summary_aliases, + strip_reasoning_summary_aliases_from_optional_params, +) # Logging is imported lazily when needed to avoid loading litellm_logging at import time if TYPE_CHECKING: @@ -946,6 +954,7 @@ def responses_api_bridge_check( web_search_options: Optional[OpenAIWebSearchOptions] = None, tools: Optional[List[Any]] = None, reasoning_effort: Optional[Any] = None, + reasoning_summary: Optional[Any] = None, ) -> Tuple[dict, str]: model_info: Dict[str, Any] = {} @@ -982,14 +991,23 @@ def responses_api_bridge_check( mode = "responses" model_info["mode"] = mode - # OpenAI/Azure gpt-5.4+ chat-completions calls with both tools + reasoning_effort - # must be bridged to Responses API. + # OpenAI/Azure GPT-5 chat-completions that need Responses-only fields (e.g. + # ``reasoningSummary`` in ``extra_body``) must be bridged; Chat Completions rejects + # those keys. + # + # - gpt-5.4+: tools + reasoning_effort (original) or any reasoning-summary alias. + # - Older GPT-5 names (e.g. ``gpt-5``, ``gpt-5.1``): bridge only when a reasoning + # summary alias is present with ``reasoning_effort`` (tools alone stay on chat). if ( custom_llm_provider in ("openai", "azure") - and OpenAIGPT5Config.is_model_gpt_5_4_plus_model(model) - and tools - and reasoning_effort is not None and model_info.get("mode") != "responses" + and OpenAIGPT5Config.is_model_gpt_5_model(model) + and not OpenAIGPT5Config.is_model_gpt_5_search_model(model) + and reasoning_effort is not None + and ( + reasoning_summary is not None + or (OpenAIGPT5Config.is_model_gpt_5_4_plus_model(model) and tools) + ) ): model_info["mode"] = "responses" model = model.replace("responses/", "") @@ -1510,7 +1528,11 @@ def completion( # type: ignore # noqa: PLR0915 "logit_bias": logit_bias, "user": user, # params to identify the model - "model": model, + "model": ( + model_info.get("base_model") + if isinstance(model_info, dict) and model_info.get("base_model") + else model + ), "custom_llm_provider": custom_llm_provider, "response_format": response_format, "seed": seed, @@ -1634,8 +1656,10 @@ def completion( # type: ignore # noqa: PLR0915 ## RESPONSES API BRIDGE LOGIC ## - check if model has 'mode: responses' in litellm.model_cost map # Only run the second bridge check if the first one didn't already # detect responses mode (e.g. via the "responses/" prefix). The second - # check handles cases like gpt-5.4+ with tools+reasoning_effort that - # the first (early) check doesn't cover. + # check handles cases like gpt-5.4+ with tools+reasoning_effort or + # reasoningSummary/reasoning_summary without tools (AI SDK) that the first + # (early) check doesn't cover. + _reasoning_summary_for_bridge = peek_reasoning_summary_aliases(optional_params) if responses_api_model_info.get("mode") != "responses": responses_api_model_info, model = responses_api_bridge_check( model=model, @@ -1643,14 +1667,29 @@ def completion( # type: ignore # noqa: PLR0915 web_search_options=web_search_options, tools=tools, reasoning_effort=reasoning_effort, + reasoning_summary=_reasoning_summary_for_bridge, ) if responses_api_model_info.get("mode") == "responses": from litellm.completion_extras import responses_api_bridge + optional_params, rs_val = ( + strip_reasoning_summary_aliases_from_optional_params(optional_params) + ) + if isinstance(reasoning_effort, dict) and "summary" in reasoning_effort: - optional_params = dict(optional_params) optional_params["reasoning_effort"] = reasoning_effort + elif rs_val is not None: + eff = optional_params.get("reasoning_effort", reasoning_effort) + if isinstance(eff, dict): + optional_params["reasoning_effort"] = {**eff, "summary": rs_val} + elif eff is not None: + optional_params["reasoning_effort"] = { + "effort": eff, + "summary": rs_val, + } + else: + optional_params["reasoning_effort"] = {"summary": rs_val} return responses_api_bridge.completion( model=model, @@ -1669,6 +1708,16 @@ def completion( # type: ignore # noqa: PLR0915 encoding=_get_encoding(), stream=stream, ) + elif ( + custom_llm_provider == "openai" + and OpenAIGPT5Config.is_model_gpt_5_model(model) + ) or ( + custom_llm_provider == "azure" + and litellm.AzureOpenAIGPT5Config.is_model_gpt_5_model(model) + ): + optional_params, _ = strip_reasoning_summary_aliases_from_optional_params( + optional_params + ) if custom_llm_provider == "azure": # azure configs @@ -3813,7 +3862,33 @@ def completion( # type: ignore # noqa: PLR0915 ) bedrock_route = BedrockModelInfo.get_bedrock_route(model) - if bedrock_route == "converse": + if bedrock_route == "claude_platform": + provider_config = ProviderConfigManager.get_provider_chat_config( + model=model, + provider=LlmProviders.BEDROCK, + ) + model = BedrockModelInfo.get_claude_platform_model(model) + response = base_llm_http_handler.completion( + model=model, + stream=stream, + messages=messages, + acompletion=acompletion, + api_base=api_base, + model_response=model_response, + optional_params=optional_params, + litellm_params=litellm_params, + shared_session=shared_session, + custom_llm_provider="bedrock", + timeout=timeout, + headers=headers, + encoding=_get_encoding(), + api_key=api_key, + logging_obj=logging, + client=client, + provider_config=provider_config, + ) + return response + elif bedrock_route == "converse": model = model.replace("converse/", "") response = bedrock_converse_chat_completion.completion( model=model, diff --git a/litellm/model_prices_and_context_window_backup.json b/litellm/model_prices_and_context_window_backup.json index 76d2d35a53a..8df25d2c9b5 100644 --- a/litellm/model_prices_and_context_window_backup.json +++ b/litellm/model_prices_and_context_window_backup.json @@ -21104,6 +21104,38 @@ "supports_system_messages": true, "supports_tool_choice": true }, + "gpt-realtime-2": { + "cache_creation_input_audio_token_cost": 4e-07, + "cache_read_input_token_cost": 4e-07, + "input_cost_per_audio_token": 3.2e-05, + "input_cost_per_image": 5e-06, + "input_cost_per_token": 4e-06, + "litellm_provider": "openai", + "max_input_tokens": 32000, + "max_output_tokens": 4096, + "max_tokens": 4096, + "mode": "chat", + "output_cost_per_audio_token": 6.4e-05, + "output_cost_per_token": 1.6e-05, + "supported_endpoints": [ + "/v1/realtime" + ], + "supported_modalities": [ + "text", + "image", + "audio" + ], + "supported_output_modalities": [ + "text", + "audio" + ], + "supports_audio_input": true, + "supports_audio_output": true, + "supports_function_calling": true, + "supports_parallel_function_calling": true, + "supports_system_messages": true, + "supports_tool_choice": true + }, "gpt-realtime-mini": { "cache_creation_input_audio_token_cost": 3e-07, "cache_read_input_audio_token_cost": 3e-07, diff --git a/litellm/ocr/main.py b/litellm/ocr/main.py index 5d73ddc8972..b27082c361a 100644 --- a/litellm/ocr/main.py +++ b/litellm/ocr/main.py @@ -10,7 +10,6 @@ import os import re from functools import partial from io import IOBase -from pathlib import Path from typing import Any, Coroutine, Dict, Optional, Union import httpx @@ -376,11 +375,13 @@ def convert_file_document_to_url_document(document: Dict[str, Any]) -> Dict[str, with an inline base64 data URI. Accepts document dicts like: - {"type": "file", "file": "/path/to/document.pdf"} # file path string {"type": "file", "file": Path("/path/to/doc.pdf")} # pathlib.Path {"type": "file", "file": } # file-like object (BinaryIO) {"type": "file", "file": b"raw bytes"} # raw bytes + Bare ``str`` paths are not accepted — pass a ``pathlib.Path`` or + ``open(path, "rb")`` instead. See the str check below for the rationale. + Returns: {"type": "document_url", "document_url": "data:;base64,"} or {"type": "image_url", "image_url": "data:;base64,"} @@ -389,14 +390,28 @@ def convert_file_document_to_url_document(document: Dict[str, Any]) -> Dict[str, if file_input is None: raise ValueError( "document with type='file' must include a 'file' field containing " - "a file path (str), pathlib.Path, file-like object, or bytes" + "a pathlib.Path, file-like object, or bytes" ) file_bytes: bytes mime_type: str = "application/octet-stream" file_name: Optional[str] = None - if isinstance(file_input, (str, Path)): + if isinstance(file_input, str): + # Bare strings are rejected here. The OCR ``document`` accepts a + # ``{"type": "file", "file": }`` shape, and when this helper + # runs in a proxy request handler ```` is attacker-controlled. + # Opening it as a path is an arbitrary local file read on the proxy + # host, which is then base64-encoded and forwarded to the OCR + # provider — an exfiltration primitive. + raise ValueError( + "OCR file input does not accept bare str values. Pass bytes, " + "a pathlib.Path, or a file-like object. To OCR a local file " + "from a path, call open(path, 'rb') yourself." + ) + if isinstance(file_input, os.PathLike): + # os.PathLike (pathlib.Path and custom __fspath__ classes) is a + # Python-level type that HTTP form values can't fabricate. file_path = str(file_input) if not os.path.isfile(file_path): raise FileNotFoundError(f"File not found: {file_path}") @@ -417,7 +432,7 @@ def convert_file_document_to_url_document(document: Dict[str, Any]) -> Dict[str, else: raise ValueError( f"Unsupported file input type: {type(file_input)}. " - "Expected str (file path), pathlib.Path, bytes, or a file-like object." + "Expected pathlib.Path, bytes, or a file-like object." ) if not file_bytes: diff --git a/litellm/proxy/_experimental/mcp_server/discoverable_endpoints.py b/litellm/proxy/_experimental/mcp_server/discoverable_endpoints.py index 1794cd14381..62691641234 100644 --- a/litellm/proxy/_experimental/mcp_server/discoverable_endpoints.py +++ b/litellm/proxy/_experimental/mcp_server/discoverable_endpoints.py @@ -12,7 +12,8 @@ from litellm.llms.custom_httpx.http_handler import ( ) from litellm.proxy._experimental.mcp_server.oauth_utils import ( TOKEN_NO_CACHE_HEADERS, - validate_loopback_redirect_uri, + get_request_base_url, + validate_trusted_redirect_uri, ) from litellm.proxy.auth.ip_address_utils import IPAddressUtils from litellm.proxy.common_utils.encrypt_decrypt_utils import ( @@ -29,51 +30,6 @@ router = APIRouter( ) -def get_request_base_url(request: Request) -> str: - """ - Get the base URL for the request, considering X-Forwarded-* headers. - - X-Forwarded-Proto / X-Forwarded-Host / X-Forwarded-Port are only honoured - when the request comes from a configured trusted proxy - (``use_x_forwarded_for`` enabled AND caller in ``mcp_trusted_proxy_ranges``). - Otherwise the request's literal ``base_url`` is returned, so an - untrusted caller cannot poison OAuth-discovery / redirect_uri values - by injecting headers. - - Args: - request: FastAPI Request object - - Returns: - The reconstructed base URL (e.g., "https://proxy.example.com") - """ - base_url = str(request.base_url).rstrip("/") - parsed = urlparse(base_url) - - if not IPAddressUtils.is_request_from_trusted_proxy(request): - return base_url - - x_forwarded_proto = request.headers.get("X-Forwarded-Proto") - x_forwarded_host = request.headers.get("X-Forwarded-Host") - x_forwarded_port = request.headers.get("X-Forwarded-Port") - - scheme = x_forwarded_proto if x_forwarded_proto else parsed.scheme - - if x_forwarded_host: - # X-Forwarded-Host may already include port (e.g., "example.com:8080") - if ":" in x_forwarded_host and not x_forwarded_host.startswith("["): - netloc = x_forwarded_host - elif x_forwarded_port: - netloc = f"{x_forwarded_host}:{x_forwarded_port}" - else: - netloc = x_forwarded_host - else: - netloc = parsed.netloc - if x_forwarded_port and ":" not in netloc: - netloc = f"{netloc}:{x_forwarded_port}" - - return urlunparse((scheme, netloc, parsed.path, "", "", "")) - - def encode_state_with_base_url( base_url: str, original_state: str, @@ -127,12 +83,14 @@ def decode_state_hash(encrypted_state: str) -> dict: return state_data -def _get_validated_client_redirect_uri(state_data: Dict[str, Any]) -> str: - """Return a loopback client redirect URI from OAuth state.""" +def _get_validated_client_redirect_uri( + request: Request, state_data: Dict[str, Any] +) -> str: + """Return a trusted (same-origin or loopback) client redirect URI from OAuth state.""" redirect_uri = state_data.get("client_redirect_uri") or state_data.get("base_url") if not redirect_uri or not isinstance(redirect_uri, str): raise HTTPException(status_code=400, detail="Invalid redirect URI") - validate_loopback_redirect_uri(redirect_uri) + validate_trusted_redirect_uri(request, redirect_uri) return redirect_uri @@ -338,12 +296,12 @@ async def authorize_with_server( status_code=400, detail="MCP server authorization url is not set" ) - # Loopback-only redirect_uri. The URI is encrypted into the OAuth - # state and decoded on /callback to redirect the user back; a non- - # loopback URI would be an open-redirect + code-theft primitive - # (VERIA-57 root cause B). MCP clients are native apps — loopback is - # the spec-compliant callback pattern. - validate_loopback_redirect_uri(redirect_uri) + # Loopback OR same-origin redirect_uri. The URI is encrypted into the + # OAuth state and decoded on /callback to redirect the user back; + # restricting to trusted origins blocks the open-redirect + + # code-theft primitive (VERIA-57 root cause B). Loopback supports + # native MCP clients; same-origin supports the proxy's own UI callback. + validate_trusted_redirect_uri(request, redirect_uri) parsed = urlparse(redirect_uri) base_url = urlunparse(parsed._replace(query="")) request_base_url = get_request_base_url(request) @@ -660,17 +618,18 @@ async def token_endpoint( @router.get("/callback") -async def callback(code: str, state: str): +async def callback(request: Request, code: str, state: str): try: state_data = decode_state_hash(state) original_state = state_data["original_state"] - # Re-validate loopback at the sink. /authorize rejects non-loopback + # Re-validate at the sink. /authorize rejects untrusted # redirect_uri before encoding into state, but encrypted states # minted before that check was added have no expiry and remain - # valid indefinitely. Validating here blocks the open-redirect + - # code-theft primitive even for pre-fix states. - redirect_uri = _get_validated_client_redirect_uri(state_data) + # valid indefinitely. Validating here (same-origin OR loopback) + # blocks the open-redirect + code-theft primitive even for pre-fix + # states while allowing the UI's same-origin callback to work. + redirect_uri = _get_validated_client_redirect_uri(request, state_data) params = {"code": code, "state": original_state} complete_returned_url = _append_query_params(redirect_uri, params) diff --git a/litellm/proxy/_experimental/mcp_server/mcp_server_manager.py b/litellm/proxy/_experimental/mcp_server/mcp_server_manager.py index 6ad731e7113..4901bc76d2f 100644 --- a/litellm/proxy/_experimental/mcp_server/mcp_server_manager.py +++ b/litellm/proxy/_experimental/mcp_server/mcp_server_manager.py @@ -599,16 +599,57 @@ class MCPServerManager: ) raise e + def _cleanup_server_tool_routing_artifacts(self, server: MCPServer) -> None: + """Drop OpenAPI global tools and name-mapping rows owned by ``server``. + + When a server leaves ``self.registry`` (eviction, ``remove_server``, etc.), + OpenAPI tools remain in ``global_mcp_tool_registry`` and + ``tool_name_to_mcp_server_name_mapping`` unless removed here. Stale + mappings make ``_get_mcp_server_from_tool_name`` resolve to a prefix that + no longer exists in the live registry. + """ + from litellm.proxy._experimental.mcp_server.tool_registry import ( + global_mcp_tool_registry, + ) + + prefix_root = normalize_server_name(get_server_prefix(server)) + if server.spec_path and prefix_root: + openapi_key_prefix = prefix_root + MCP_TOOL_PREFIX_SEPARATOR + global_mcp_tool_registry.unregister_tools_with_prefix(openapi_key_prefix) + + owned_raw: Set[str] = set() + for p in iter_known_server_prefixes(server): + if p: + owned_raw.add(p) + if server.name: + owned_raw.add(server.name) + + owned_normalized = {normalize_server_name(x) for x in owned_raw} + + stale_mapping_keys: List[str] = [] + for tool_name, mapped_server in list( + self.tool_name_to_mcp_server_name_mapping.items() + ): + if mapped_server in owned_raw: + stale_mapping_keys.append(tool_name) + elif normalize_server_name(str(mapped_server)) in owned_normalized: + stale_mapping_keys.append(tool_name) + + for key in stale_mapping_keys: + del self.tool_name_to_mcp_server_name_mapping[key] + def remove_server(self, mcp_server: LiteLLM_MCPServerTable): """ Remove a server from the registry """ - if mcp_server.server_name in self.get_registry(): - del self.registry[mcp_server.server_name] - verbose_logger.debug(f"Removed MCP Server: {mcp_server.server_name}") - elif mcp_server.server_id in self.get_registry(): - del self.registry[mcp_server.server_id] - verbose_logger.debug(f"Removed MCP Server: {mcp_server.server_id}") + evicted: Optional[MCPServer] = self.registry.pop(mcp_server.server_id, None) + if evicted is None and mcp_server.server_name: + evicted = self.registry.pop(mcp_server.server_name, None) + if evicted is not None: + verbose_logger.debug( + "Removed MCP Server: %s", mcp_server.server_id or mcp_server.server_name + ) + self._cleanup_server_tool_routing_artifacts(evicted) else: verbose_logger.warning( f"Server ID {mcp_server.server_id} not found in registry" @@ -806,6 +847,13 @@ class MCPServerManager: self.initialize_tool_name_to_mcp_server_name_mapping() async def add_server(self, mcp_server: LiteLLM_MCPServerTable): + # The runtime registry is the allowlist for tool calls and health + # probes (which spawn the underlying transport, including stdio + # subprocesses). Match the eligibility set used by the bulk DB + # filter in reload_servers_from_database() — NULL is legacy and + # "approved" is a legacy alias for "active". + if mcp_server.approval_status not in (None, "active", "approved"): + return try: if mcp_server.server_id not in self.registry: new_server = await self.build_mcp_server_from_table(mcp_server) @@ -819,6 +867,16 @@ class MCPServerManager: raise e async def update_server(self, mcp_server: LiteLLM_MCPServerTable): + # If a previously-active server has been moved out of the active + # state, evict any stale registry entry so subsequent tool calls and + # health probes can't reach it. + if mcp_server.approval_status not in (None, "active", "approved"): + evicted = self.registry.pop(mcp_server.server_id, None) + if evicted is None and mcp_server.server_name: + evicted = self.registry.pop(mcp_server.server_name, None) + if evicted is not None: + self._cleanup_server_tool_routing_artifacts(evicted) + return try: if mcp_server.server_id in self.registry: new_server = await self.build_mcp_server_from_table(mcp_server) diff --git a/litellm/proxy/_experimental/mcp_server/oauth_utils.py b/litellm/proxy/_experimental/mcp_server/oauth_utils.py index b13cf83058c..343d1bee613 100644 --- a/litellm/proxy/_experimental/mcp_server/oauth_utils.py +++ b/litellm/proxy/_experimental/mcp_server/oauth_utils.py @@ -2,15 +2,63 @@ (BYOK + discoverable / pass-through OAuth proxy).""" from ipaddress import ip_address -from urllib.parse import urlparse +from urllib.parse import urlparse, urlunparse -from fastapi import HTTPException +from fastapi import HTTPException, Request + +from litellm._logging import verbose_logger +from litellm.proxy.auth.ip_address_utils import IPAddressUtils # RFC 6749 §5.1 / OAuth 2.1 draft-15 §4.1.3: token-endpoint responses # must not be cached — both success and error bodies may reveal secrets. TOKEN_NO_CACHE_HEADERS = {"Cache-Control": "no-store", "Pragma": "no-cache"} +def get_request_base_url(request: Request) -> str: + """ + Get the base URL for the request, considering X-Forwarded-* headers. + + X-Forwarded-Proto / X-Forwarded-Host / X-Forwarded-Port are only honoured + when the request comes from a configured trusted proxy + (``use_x_forwarded_for`` enabled AND caller in ``mcp_trusted_proxy_ranges``). + Otherwise the request's literal ``base_url`` is returned, so an + untrusted caller cannot poison OAuth-discovery / redirect_uri values + by injecting headers. + + Args: + request: FastAPI Request object + + Returns: + The reconstructed base URL (e.g., "https://proxy.example.com") + """ + base_url = str(request.base_url).rstrip("/") + parsed = urlparse(base_url) + + if not IPAddressUtils.is_request_from_trusted_proxy(request): + return base_url + + x_forwarded_proto = request.headers.get("X-Forwarded-Proto") + x_forwarded_host = request.headers.get("X-Forwarded-Host") + x_forwarded_port = request.headers.get("X-Forwarded-Port") + + scheme = x_forwarded_proto if x_forwarded_proto else parsed.scheme + + if x_forwarded_host: + # X-Forwarded-Host may already include port (e.g., "example.com:8080") + if ":" in x_forwarded_host and not x_forwarded_host.startswith("["): + netloc = x_forwarded_host + elif x_forwarded_port: + netloc = f"{x_forwarded_host}:{x_forwarded_port}" + else: + netloc = x_forwarded_host + else: + netloc = parsed.netloc + if x_forwarded_port and ":" not in netloc: + netloc = f"{netloc}:{x_forwarded_port}" + + return urlunparse((scheme, netloc, parsed.path, "", "", "")) + + def validate_loopback_redirect_uri(redirect_uri: str) -> None: """Require a loopback ``redirect_uri`` (OAuth 2.1 §4.1.2.1 + RFC 8252 §7.3 native-app pattern). MCP clients are native apps that listen on @@ -46,3 +94,60 @@ def validate_loopback_redirect_uri(redirect_uri: str) -> None: # don't let it bubble up as a 500. pass raise HTTPException(status_code=400, detail="invalid_request") + + +def validate_trusted_redirect_uri(request: Request, redirect_uri: str) -> None: + """Accept same-origin (proxy's own origin) OR loopback ``redirect_uri``. + + Same-origin is required for the LiteLLM UI's OAuth flow: the UI + redirects to ``/ui/mcp/oauth/callback`` which is not loopback + but is on the proxy's own trusted HTTPS origin. An attacker cannot + host content on the proxy's own origin without already owning the + proxy, so the open-redirect / code-theft primitive that motivated + :func:`validate_loopback_redirect_uri` does not apply here. + + Loopback continues to be accepted for native MCP clients (per + OAuth 2.1 §4.1.2.1 + RFC 8252 §7.3). + + Use this in the discoverable OAuth proxy endpoints that serve both + native clients and the proxy's own UI. BYOK endpoints that only + support native clients should keep + :func:`validate_loopback_redirect_uri`. + """ + try: + parsed = urlparse(redirect_uri) + except ValueError: + raise HTTPException(status_code=400, detail="invalid_request") + if parsed.scheme not in ("http", "https"): + raise HTTPException(status_code=400, detail="invalid_request") + if parsed.fragment: + raise HTTPException(status_code=400, detail="invalid_request") + + # Same-origin: scheme + netloc (host[:port]) must match the proxy's + # own base URL at this request (honouring trusted X-Forwarded-*). + try: + proxy_base = urlparse(get_request_base_url(request)) + if ( + parsed.netloc + and parsed.scheme == proxy_base.scheme + and parsed.netloc.lower() == proxy_base.netloc.lower() + ): + return + except Exception as exc: + # If we can't determine the proxy's origin, fall through to + # loopback. Log so the failure is diagnosable in production. + verbose_logger.warning( + "validate_trusted_redirect_uri: could not determine proxy origin, " + "falling back to loopback-only check. error=%s", + exc, + ) + + host = (parsed.hostname or "").lower() + if host == "localhost": + return + try: + if ip_address(host).is_loopback: + return + except ValueError: + pass + raise HTTPException(status_code=400, detail="invalid_request") diff --git a/litellm/proxy/_experimental/mcp_server/tool_registry.py b/litellm/proxy/_experimental/mcp_server/tool_registry.py index 58570aafadf..829be5be979 100644 --- a/litellm/proxy/_experimental/mcp_server/tool_registry.py +++ b/litellm/proxy/_experimental/mcp_server/tool_registry.py @@ -59,6 +59,22 @@ class MCPToolRegistry: ] return list(self.tools.values()) + def unregister_tools_with_prefix(self, prefix: str) -> int: + """Remove tools whose registered name starts with ``prefix``. + + Used when an OpenAPI-backed MCP server leaves the runtime registry so + stale tool handlers cannot be invoked after eviction. + """ + if not prefix: + return 0 + removed = 0 + for name in list(self.tools.keys()): + if name.startswith(prefix): + del self.tools[name] + removed += 1 + verbose_logger.debug("Unregistered MCP tool %s", name) + return removed + def convert_tools_to_mcp_sdk_tool_type( self, tools: List[MCPTool] ) -> List["MCPToolSDKTool"]: diff --git a/litellm/proxy/_experimental/out/404.html b/litellm/proxy/_experimental/out/404.html index 17fdb3b3582..a63c2e433d0 100644 --- a/litellm/proxy/_experimental/out/404.html +++ b/litellm/proxy/_experimental/out/404.html @@ -1 +1 @@ -404: This page could not be found.LiteLLM Dashboard

404

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\ No newline at end of file +404: This page could not be found.LiteLLM Dashboard

404

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openai - -client = openai.OpenAI( - api_key="${v||"YOUR_LITELLM_API_KEY"}", - base_url="${y}" -)`;switch(h){case n.CHAT:{let e=Object.keys(C).length>0,o="";if(e){let e=JSON.stringify({metadata:C},null,2).split("\n").map(e=>" ".repeat(4)+e).join("\n").trim();o=`, - extra_body=${e}`}let i=k.length>0?k:[{role:"user",content:w}];t=` -import base64 - -# Helper function to encode images to base64 -def encode_image(image_path): - with open(image_path, "rb") as image_file: - return base64.b64encode(image_file.read()).decode('utf-8') - -# Example with text only -response = client.chat.completions.create( - model="${N}", - messages=${JSON.stringify(i,null,4)}${o} -) - -print(response) - -# Example with image or PDF (uncomment and provide file path to use) -# base64_file = encode_image("path/to/your/file.jpg") # or .pdf -# response_with_file = client.chat.completions.create( -# model="${N}", -# messages=[ -# { -# "role": "user", -# "content": [ -# { -# "type": "text", -# "text": "${S}" -# }, -# { -# "type": "image_url", -# "image_url": { -# "url": f"data:image/jpeg;base64,{base64_file}" # or data:application/pdf;base64,{base64_file} -# } -# } -# ] -# } -# ]${o} -# ) -# print(response_with_file) -`;break}case n.RESPONSES:{let e=Object.keys(C).length>0,o="";if(e){let e=JSON.stringify({metadata:C},null,2).split("\n").map(e=>" ".repeat(4)+e).join("\n").trim();o=`, - extra_body=${e}`}let i=k.length>0?k:[{role:"user",content:w}];t=` -import base64 - -# Helper function to encode images to base64 -def encode_image(image_path): - with open(image_path, "rb") as image_file: - return base64.b64encode(image_file.read()).decode('utf-8') - -# Example with text only -response = client.responses.create( - model="${N}", - input=${JSON.stringify(i,null,4)}${o} -) - -print(response.output_text) - -# Example with image or PDF (uncomment and provide file path to use) -# base64_file = encode_image("path/to/your/file.jpg") # or .pdf -# response_with_file = client.responses.create( -# model="${N}", -# input=[ -# { -# "role": "user", -# "content": [ -# {"type": "input_text", "text": "${S}"}, -# { -# "type": "input_image", -# "image_url": f"data:image/jpeg;base64,{base64_file}", # or data:application/pdf;base64,{base64_file} -# }, -# ], -# } -# ]${o} -# ) -# print(response_with_file.output_text) -`;break}case n.IMAGE:t="azure"===b?` -# NOTE: The Azure SDK does not have a direct equivalent to the multi-modal 'responses.create' method shown for OpenAI. -# This snippet uses 'client.images.generate' and will create a new image based on your prompt. -# It does not use the uploaded image, as 'client.images.generate' does not support image inputs in this context. -import os -import requests -import json -import time -from PIL import Image - -result = client.images.generate( - model="${N}", - prompt="${s}", - n=1 -) - -json_response = json.loads(result.model_dump_json()) - -# Set the directory for the stored image -image_dir = os.path.join(os.curdir, 'images') - -# If the directory doesn't exist, create it -if not os.path.isdir(image_dir): - os.mkdir(image_dir) - -# Initialize the image path -image_filename = f"generated_image_{int(time.time())}.png" -image_path = os.path.join(image_dir, image_filename) - -try: - # Retrieve the generated image - if json_response.get("data") && len(json_response["data"]) > 0 && json_response["data"][0].get("url"): - image_url = json_response["data"][0]["url"] - generated_image = requests.get(image_url).content - with open(image_path, "wb") as image_file: - image_file.write(generated_image) - - print(f"Image saved to {image_path}") - # Display the image - image = Image.open(image_path) - image.show() - else: - print("Could not find image URL in response.") - print("Full response:", json_response) -except Exception as e: - print(f"An error occurred: {e}") - print("Full response:", json_response) -`:` -import base64 -import os -import time -import json -from PIL import Image -import requests - -# Helper function to encode images to base64 -def encode_image(image_path): - with open(image_path, "rb") as image_file: - return base64.b64encode(image_file.read()).decode('utf-8') - -# Helper function to create a file (simplified for this example) -def create_file(image_path): - # In a real implementation, this would upload the file to OpenAI - # For this example, we'll just return a placeholder ID - return f"file_{os.path.basename(image_path).replace('.', '_')}" - -# The prompt entered by the user -prompt = "${S}" - -# Encode images to base64 -base64_image1 = encode_image("body-lotion.png") -base64_image2 = encode_image("soap.png") - -# Create file IDs -file_id1 = create_file("body-lotion.png") -file_id2 = create_file("incense-kit.png") - -response = client.responses.create( - model="${N}", - input=[ - { - "role": "user", - "content": [ - {"type": "input_text", "text": prompt}, - { - "type": "input_image", - "image_url": f"data:image/jpeg;base64,{base64_image1}", - }, - { - "type": "input_image", - "image_url": f"data:image/jpeg;base64,{base64_image2}", - }, - { - "type": "input_image", - "file_id": file_id1, - }, - { - "type": "input_image", - "file_id": file_id2, - } - ], - } - ], - tools=[{"type": "image_generation"}], -) - -# Process the response -image_generation_calls = [ - output - for output in response.output - if output.type == "image_generation_call" -] - -image_data = [output.result for output in image_generation_calls] - -if image_data: - image_base64 = image_data[0] - image_filename = f"edited_image_{int(time.time())}.png" - with open(image_filename, "wb") as f: - f.write(base64.b64decode(image_base64)) - print(f"Image saved to {image_filename}") -else: - # If no image is generated, there might be a text response with an explanation - text_response = [output.text for output in response.output if hasattr(output, 'text')] - if text_response: - print("No image generated. Model response:") - print("\\n".join(text_response)) - else: - print("No image data found in response.") - print("Full response for debugging:") - print(response) -`;break;case n.IMAGE_EDITS:t="azure"===b?` -import base64 -import os -import time -import json -from PIL import Image -import requests - -# Helper function to encode images to base64 -def encode_image(image_path): - with open(image_path, "rb") as image_file: - return base64.b64encode(image_file.read()).decode('utf-8') - -# The prompt entered by the user -prompt = "${S}" - -# Encode images to base64 -base64_image1 = encode_image("body-lotion.png") -base64_image2 = encode_image("soap.png") - -# Create file IDs -file_id1 = create_file("body-lotion.png") -file_id2 = create_file("incense-kit.png") - -response = client.responses.create( - model="${N}", - input=[ - { - "role": "user", - "content": [ - {"type": "input_text", "text": prompt}, - { - "type": "input_image", - "image_url": f"data:image/jpeg;base64,{base64_image1}", - }, - { - "type": "input_image", - "image_url": f"data:image/jpeg;base64,{base64_image2}", - }, - { - "type": "input_image", - "file_id": file_id1, - }, - { - "type": "input_image", - "file_id": file_id2, - } - ], - } - ], - tools=[{"type": "image_generation"}], -) - -# Process the response -image_generation_calls = [ - output - for output in response.output - if output.type == "image_generation_call" -] - -image_data = [output.result for output in image_generation_calls] - -if image_data: - image_base64 = image_data[0] - image_filename = f"edited_image_{int(time.time())}.png" - with open(image_filename, "wb") as f: - f.write(base64.b64decode(image_base64)) - print(f"Image saved to {image_filename}") -else: - # If no image is generated, there might be a text response with an explanation - text_response = [output.text for output in response.output if hasattr(output, 'text')] - if text_response: - print("No image generated. Model response:") - print("\\n".join(text_response)) - else: - print("No image data found in response.") - print("Full response for debugging:") - print(response) -`:` -import base64 -import os -import time - -# Helper function to encode images to base64 -def encode_image(image_path): - with open(image_path, "rb") as image_file: - return base64.b64encode(image_file.read()).decode('utf-8') - -# Helper function to create a file (simplified for this example) -def create_file(image_path): - # In a real implementation, this would upload the file to OpenAI - # For this example, we'll just return a placeholder ID - return f"file_{os.path.basename(image_path).replace('.', '_')}" - -# The prompt entered by the user -prompt = "${S}" - -# Encode images to base64 -base64_image1 = encode_image("body-lotion.png") -base64_image2 = encode_image("soap.png") - -# Create file IDs -file_id1 = create_file("body-lotion.png") -file_id2 = create_file("incense-kit.png") - -response = client.responses.create( - model="${N}", - input=[ - { - "role": "user", - "content": [ - {"type": "input_text", "text": prompt}, - { - "type": "input_image", - "image_url": f"data:image/jpeg;base64,{base64_image1}", - }, - { - "type": "input_image", - "image_url": f"data:image/jpeg;base64,{base64_image2}", - }, - { - "type": "input_image", - "file_id": file_id1, - }, - { - "type": "input_image", - "file_id": file_id2, - } - ], - } - ], - tools=[{"type": "image_generation"}], -) - -# Process the response -image_generation_calls = [ - output - for output in response.output - if output.type == "image_generation_call" -] - -image_data = [output.result for output in image_generation_calls] - -if image_data: - image_base64 = image_data[0] - image_filename = f"edited_image_{int(time.time())}.png" - with open(image_filename, "wb") as f: - f.write(base64.b64decode(image_base64)) - print(f"Image saved to {image_filename}") -else: - # If no image is generated, there might be a text response with an explanation - text_response = [output.text for output in response.output if hasattr(output, 'text')] - if text_response: - print("No image generated. 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openai + +client = openai.OpenAI( + api_key="${x||"YOUR_LITELLM_API_KEY"}", + base_url="${y}" +)`;switch(h){case n.CHAT:{let e=Object.keys(z).length>0,o="";if(e){let e=JSON.stringify({metadata:z},null,2).split("\n").map(e=>" ".repeat(4)+e).join("\n").trim();o=`, + extra_body=${e}`}let i=k.length>0?k:[{role:"user",content:w}];t=` +import base64 + +# Helper function to encode images to base64 +def encode_image(image_path): + with open(image_path, "rb") as image_file: + return base64.b64encode(image_file.read()).decode('utf-8') + +# Example with text only +response = client.chat.completions.create( + model="${R}", + messages=${JSON.stringify(i,null,4)}${o} +) + +print(response) + +# Example with image or PDF (uncomment and provide file path to use) +# base64_file = encode_image("path/to/your/file.jpg") # or .pdf +# response_with_file = client.chat.completions.create( +# model="${R}", +# messages=[ +# { +# "role": "user", +# "content": [ +# { +# "type": "text", +# "text": "${j}" +# }, +# { +# "type": "image_url", +# "image_url": { +# "url": f"data:image/jpeg;base64,{base64_file}" # or data:application/pdf;base64,{base64_file} +# } +# } +# ] +# } +# ]${o} +# ) +# print(response_with_file) +`;break}case n.RESPONSES:{let e=Object.keys(z).length>0,o="";if(e){let e=JSON.stringify({metadata:z},null,2).split("\n").map(e=>" ".repeat(4)+e).join("\n").trim();o=`, + extra_body=${e}`}let i=k.length>0?k:[{role:"user",content:w}];t=` +import base64 + +# Helper function to encode images to base64 +def encode_image(image_path): + with open(image_path, "rb") as image_file: + return base64.b64encode(image_file.read()).decode('utf-8') + +# Example with text only +response = client.responses.create( + model="${R}", + input=${JSON.stringify(i,null,4)}${o} +) + +print(response.output_text) + +# Example with image or PDF (uncomment and provide file path to use) +# base64_file = encode_image("path/to/your/file.jpg") # or .pdf +# response_with_file = client.responses.create( +# model="${R}", +# input=[ +# { +# "role": "user", +# "content": [ +# {"type": "input_text", "text": "${j}"}, +# { +# "type": "input_image", +# "image_url": f"data:image/jpeg;base64,{base64_file}", # or data:application/pdf;base64,{base64_file} +# }, +# ], +# } +# ]${o} +# ) +# print(response_with_file.output_text) +`;break}case n.IMAGE:t="azure"===b?` +# NOTE: The Azure SDK does not have a direct equivalent to the multi-modal 'responses.create' method shown for OpenAI. +# This snippet uses 'client.images.generate' and will create a new image based on your prompt. +# It does not use the uploaded image, as 'client.images.generate' does not support image inputs in this context. +import os +import requests +import json +import time +from PIL import Image + +result = client.images.generate( + model="${R}", + prompt="${s}", + n=1 +) + +json_response = json.loads(result.model_dump_json()) + +# Set the directory for the stored image +image_dir = os.path.join(os.curdir, 'images') + +# If the directory doesn't exist, create it +if not os.path.isdir(image_dir): + os.mkdir(image_dir) + +# Initialize the image path +image_filename = f"generated_image_{int(time.time())}.png" +image_path = os.path.join(image_dir, image_filename) + +try: + # Retrieve the generated image + if json_response.get("data") && len(json_response["data"]) > 0 && json_response["data"][0].get("url"): + image_url = json_response["data"][0]["url"] + generated_image = requests.get(image_url).content + with open(image_path, "wb") as image_file: + image_file.write(generated_image) + + print(f"Image saved to {image_path}") + # Display the image + image = Image.open(image_path) + image.show() + else: + print("Could not find image URL in response.") + print("Full response:", json_response) +except Exception as e: + print(f"An error occurred: {e}") + print("Full response:", json_response) +`:` +import base64 +import os +import time +import json +from PIL import Image +import requests + +# Helper function to encode images to base64 +def encode_image(image_path): + with open(image_path, "rb") as image_file: + return base64.b64encode(image_file.read()).decode('utf-8') + +# Helper function to create a file (simplified for this example) +def create_file(image_path): + # In a real implementation, this would upload the file to OpenAI + # For this example, we'll just return a placeholder ID + return f"file_{os.path.basename(image_path).replace('.', '_')}" + +# The prompt entered by the user +prompt = "${j}" + +# Encode images to base64 +base64_image1 = encode_image("body-lotion.png") +base64_image2 = encode_image("soap.png") + +# Create file IDs +file_id1 = create_file("body-lotion.png") +file_id2 = create_file("incense-kit.png") + +response = client.responses.create( + model="${R}", + input=[ + { + "role": "user", + "content": [ + {"type": "input_text", "text": prompt}, + { + "type": "input_image", + "image_url": f"data:image/jpeg;base64,{base64_image1}", + }, + { + "type": "input_image", + "image_url": f"data:image/jpeg;base64,{base64_image2}", + }, + { + "type": "input_image", + "file_id": file_id1, + }, + { + "type": "input_image", + "file_id": file_id2, + } + ], + } + ], + tools=[{"type": "image_generation"}], +) + +# Process the response +image_generation_calls = [ + output + for output in response.output + if output.type == "image_generation_call" +] + +image_data = [output.result for output in image_generation_calls] + +if image_data: + image_base64 = image_data[0] + image_filename = f"edited_image_{int(time.time())}.png" + with open(image_filename, "wb") as f: + f.write(base64.b64decode(image_base64)) + print(f"Image saved to {image_filename}") +else: + # If no image is generated, there might be a text response with an explanation + text_response = [output.text for output in response.output if hasattr(output, 'text')] + if text_response: + print("No image generated. Model response:") + print("\\n".join(text_response)) + else: + print("No image data found in response.") + print("Full response for debugging:") + print(response) +`;break;case n.IMAGE_EDITS:t="azure"===b?` +import base64 +import os +import time +import json +from PIL import Image +import requests + +# Helper function to encode images to base64 +def encode_image(image_path): + with open(image_path, "rb") as image_file: + return base64.b64encode(image_file.read()).decode('utf-8') + +# The prompt entered by the user +prompt = "${j}" + +# Encode images to base64 +base64_image1 = encode_image("body-lotion.png") +base64_image2 = encode_image("soap.png") + +# Create file IDs +file_id1 = create_file("body-lotion.png") +file_id2 = create_file("incense-kit.png") + +response = client.responses.create( + model="${R}", + input=[ + { + "role": "user", + "content": [ + {"type": "input_text", "text": prompt}, + { + "type": "input_image", + "image_url": f"data:image/jpeg;base64,{base64_image1}", + }, + { + "type": "input_image", + "image_url": f"data:image/jpeg;base64,{base64_image2}", + }, + { + "type": "input_image", + "file_id": file_id1, + }, + { + "type": "input_image", + "file_id": file_id2, + } + ], + } + ], + tools=[{"type": "image_generation"}], +) + +# Process the response +image_generation_calls = [ + output + for output in response.output + if output.type == "image_generation_call" +] + +image_data = [output.result for output in image_generation_calls] + +if image_data: + image_base64 = image_data[0] + image_filename = f"edited_image_{int(time.time())}.png" + with open(image_filename, "wb") as f: + f.write(base64.b64decode(image_base64)) + print(f"Image saved to {image_filename}") +else: + # If no image is generated, there might be a text response with an explanation + text_response = [output.text for output in response.output if hasattr(output, 'text')] + if text_response: + print("No image generated. Model response:") + print("\\n".join(text_response)) + else: + print("No image data found in response.") + print("Full response for debugging:") + print(response) +`:` +import base64 +import os +import time + +# Helper function to encode images to base64 +def encode_image(image_path): + with open(image_path, "rb") as image_file: + return base64.b64encode(image_file.read()).decode('utf-8') + +# Helper function to create a file (simplified for this example) +def create_file(image_path): + # In a real implementation, this would upload the file to OpenAI + # For this example, we'll just return a placeholder ID + return f"file_{os.path.basename(image_path).replace('.', '_')}" + +# The prompt entered by the user +prompt = "${j}" + +# Encode images to base64 +base64_image1 = encode_image("body-lotion.png") +base64_image2 = encode_image("soap.png") + +# Create file IDs +file_id1 = create_file("body-lotion.png") +file_id2 = create_file("incense-kit.png") + +response = client.responses.create( + model="${R}", + input=[ + { + "role": "user", + "content": [ + {"type": "input_text", "text": prompt}, + { + "type": "input_image", + "image_url": f"data:image/jpeg;base64,{base64_image1}", + }, + { + "type": "input_image", + "image_url": f"data:image/jpeg;base64,{base64_image2}", + }, + { + "type": "input_image", + "file_id": file_id1, + }, + { + "type": "input_image", + "file_id": file_id2, + } + ], + } + ], + tools=[{"type": "image_generation"}], +) + +# Process the response +image_generation_calls = [ + output + for output in response.output + if output.type == "image_generation_call" +] + +image_data = [output.result for output in image_generation_calls] + +if image_data: + image_base64 = image_data[0] + image_filename = f"edited_image_{int(time.time())}.png" + with open(image_filename, "wb") as f: + f.write(base64.b64decode(image_base64)) + print(f"Image saved to {image_filename}") +else: + # If no image is generated, there might be a text response with an explanation + text_response = [output.text for output in response.output if hasattr(output, 'text')] + if text_response: + print("No image generated. Model response:") + print("\\n".join(text_response)) + else: + print("No image data found in response.") + print("Full response for debugging:") + print(response) +`;break;case n.EMBEDDINGS:t=` +response = client.embeddings.create( + input="${s||"Your string here"}", + model="${R}", + encoding_format="base64" # or "float" +) + +print(response.data[0].embedding) +`;break;case n.TRANSCRIPTION:t=` +# Open the audio file +audio_file = open("path/to/your/audio/file.mp3", "rb") + +# Make the transcription request +response = client.audio.transcriptions.create( + model="${R}", + file=audio_file${s?`, + prompt="${s.replace(/\\/g,"\\\\").replace(/"/g,'\\"')}"`:""} +) + +print(response.text) +`;break;case n.SPEECH:t=` +# Make the text-to-speech request +response = client.audio.speech.create( + model="${R}", + input="${s||"Your text to convert to speech here"}", + voice="${g}" # Options: alloy, ash, ballad, coral, echo, fable, nova, onyx, sage, shimmer +) + +# Save the audio to a file 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open(image_path, "rb") as image_file: - return base64.b64encode(image_file.read()).decode('utf-8') - -# Example with text only -response = client.responses.create( - model="${S}", - input=${JSON.stringify(a,null,4)}${i} -) - -print(response.output_text) - -# Example with image or PDF (uncomment and provide file path to use) -# base64_file = encode_image("path/to/your/file.jpg") # or .pdf -# response_with_file = client.responses.create( -# model="${S}", -# input=[ -# { -# "role": "user", -# "content": [ -# {"type": "input_text", "text": "${E}"}, -# { -# "type": "input_image", -# "image_url": f"data:image/jpeg;base64,{base64_file}", # or data:application/pdf;base64,{base64_file} -# }, -# ], -# } -# ]${i} -# ) -# print(response_with_file.output_text) -`;break}case o.IMAGE:t="azure"===A?` -# NOTE: The Azure SDK does not have a direct equivalent to the multi-modal 'responses.create' method shown for OpenAI. -# This snippet uses 'client.images.generate' and will create a new image based on your prompt. -# It does not use the uploaded image, as 'client.images.generate' does not support image inputs in this context. -import os -import requests -import json -import time -from PIL import Image - -result = client.images.generate( - model="${S}", - prompt="${n}", - n=1 -) - -json_response = json.loads(result.model_dump_json()) - -# Set the directory for the stored image -image_dir = os.path.join(os.curdir, 'images') - -# If the directory doesn't exist, create it -if not os.path.isdir(image_dir): - os.mkdir(image_dir) - -# Initialize the image path -image_filename = f"generated_image_{int(time.time())}.png" -image_path = os.path.join(image_dir, image_filename) - -try: - # Retrieve the generated image - if json_response.get("data") && len(json_response["data"]) > 0 && json_response["data"][0].get("url"): - image_url = json_response["data"][0]["url"] - generated_image = requests.get(image_url).content - with open(image_path, "wb") as image_file: - image_file.write(generated_image) - - print(f"Image saved to {image_path}") - # Display the image - image = Image.open(image_path) - image.show() - else: - print("Could not find image URL in response.") - print("Full response:", json_response) -except Exception as e: - print(f"An error occurred: {e}") - print("Full response:", json_response) -`:` -import base64 -import os -import time -import json -from PIL import Image -import requests - -# Helper function to encode images to base64 -def encode_image(image_path): - with open(image_path, "rb") as image_file: - return base64.b64encode(image_file.read()).decode('utf-8') - -# Helper function to create a file (simplified for this example) -def create_file(image_path): - # In a real implementation, this would upload the file to OpenAI - # For this example, we'll just return a placeholder ID - return f"file_{os.path.basename(image_path).replace('.', '_')}" - -# The prompt entered by the user -prompt = "${E}" - -# Encode images to base64 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LLM Cost Estimate Report

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openai + +client = openai.OpenAI( + api_key="${x||"YOUR_LITELLM_API_KEY"}", + base_url="${b}" +)`;switch(h){case o.CHAT:{let e=Object.keys(C).length>0,i="";if(e){let e=JSON.stringify({metadata:C},null,2).split("\n").map(e=>" ".repeat(4)+e).join("\n").trim();i=`, + extra_body=${e}`}let a=w.length>0?w:[{role:"user",content:I}];t=` +import base64 + +# Helper function to encode images to base64 +def encode_image(image_path): + with open(image_path, "rb") as image_file: + return base64.b64encode(image_file.read()).decode('utf-8') + +# Example with text only +response = client.chat.completions.create( + model="${S}", + messages=${JSON.stringify(a,null,4)}${i} +) + +print(response) + +# Example with image or PDF (uncomment and provide file path to use) +# base64_file = encode_image("path/to/your/file.jpg") # or .pdf +# response_with_file = client.chat.completions.create( +# model="${S}", +# messages=[ +# { +# "role": "user", +# "content": [ +# { +# "type": "text", +# "text": "${E}" +# }, +# { +# "type": "image_url", +# "image_url": { +# "url": f"data:image/jpeg;base64,{base64_file}" # or data:application/pdf;base64,{base64_file} +# } +# } +# ] +# } +# ]${i} +# ) +# print(response_with_file) +`;break}case o.RESPONSES:{let e=Object.keys(C).length>0,i="";if(e){let e=JSON.stringify({metadata:C},null,2).split("\n").map(e=>" ".repeat(4)+e).join("\n").trim();i=`, + extra_body=${e}`}let a=w.length>0?w:[{role:"user",content:I}];t=` +import base64 + +# Helper function to encode images to base64 +def encode_image(image_path): + with open(image_path, "rb") as image_file: + return base64.b64encode(image_file.read()).decode('utf-8') + +# Example with text only +response = client.responses.create( + model="${S}", + input=${JSON.stringify(a,null,4)}${i} +) + +print(response.output_text) + +# Example with image or PDF (uncomment and provide file path to use) +# base64_file = encode_image("path/to/your/file.jpg") # or .pdf +# response_with_file = client.responses.create( +# model="${S}", +# input=[ +# { +# "role": "user", +# "content": [ +# {"type": "input_text", "text": "${E}"}, +# { +# "type": "input_image", +# "image_url": f"data:image/jpeg;base64,{base64_file}", # or data:application/pdf;base64,{base64_file} +# }, +# ], +# } +# ]${i} +# ) +# print(response_with_file.output_text) +`;break}case o.IMAGE:t="azure"===A?` +# NOTE: The Azure SDK does not have a direct equivalent to the multi-modal 'responses.create' method shown for OpenAI. +# This snippet uses 'client.images.generate' and will create a new image based on your prompt. +# It does not use the uploaded image, as 'client.images.generate' does not support image inputs in this context. +import os +import requests +import json +import time +from PIL import Image + +result = client.images.generate( + model="${S}", + prompt="${n}", + n=1 +) + +json_response = json.loads(result.model_dump_json()) + +# Set the directory for the stored image +image_dir = os.path.join(os.curdir, 'images') + +# If the directory doesn't exist, create it +if not os.path.isdir(image_dir): + os.mkdir(image_dir) + +# Initialize the image path +image_filename = f"generated_image_{int(time.time())}.png" +image_path = os.path.join(image_dir, image_filename) + +try: + # Retrieve the generated image + if json_response.get("data") && len(json_response["data"]) > 0 && json_response["data"][0].get("url"): + image_url = json_response["data"][0]["url"] + generated_image = requests.get(image_url).content + with open(image_path, "wb") as image_file: + image_file.write(generated_image) + + print(f"Image saved to {image_path}") + # Display the image + image = Image.open(image_path) + image.show() + else: + print("Could not find image URL in response.") + print("Full response:", json_response) +except Exception as e: + print(f"An error occurred: {e}") + print("Full response:", json_response) +`:` +import base64 +import os +import time +import json +from PIL import Image +import requests + +# Helper function to encode images to base64 +def encode_image(image_path): + with open(image_path, "rb") as image_file: + return base64.b64encode(image_file.read()).decode('utf-8') + +# Helper function to create a file (simplified for this example) +def create_file(image_path): + # In a real implementation, this would upload the file to OpenAI + # For this example, we'll just return a placeholder ID + return f"file_{os.path.basename(image_path).replace('.', '_')}" + +# The prompt entered by the user +prompt = "${E}" + +# Encode images to base64 +base64_image1 = encode_image("body-lotion.png") +base64_image2 = encode_image("soap.png") + +# Create file IDs +file_id1 = create_file("body-lotion.png") +file_id2 = create_file("incense-kit.png") + +response = client.responses.create( + model="${S}", + input=[ + { + "role": "user", + "content": [ + {"type": "input_text", "text": prompt}, + { + "type": "input_image", + "image_url": f"data:image/jpeg;base64,{base64_image1}", + }, + { + "type": "input_image", + "image_url": f"data:image/jpeg;base64,{base64_image2}", + }, + { + "type": "input_image", + "file_id": file_id1, + }, + { + "type": "input_image", + "file_id": file_id2, + } + ], + } + ], + tools=[{"type": "image_generation"}], +) + +# Process the response +image_generation_calls = [ + output + for output in response.output + if output.type == "image_generation_call" +] + +image_data = [output.result for output in image_generation_calls] + +if image_data: + image_base64 = image_data[0] + image_filename = f"edited_image_{int(time.time())}.png" + with open(image_filename, "wb") as f: + f.write(base64.b64decode(image_base64)) + print(f"Image saved to {image_filename}") +else: + # If no image is generated, there might be a text response with an explanation + text_response = [output.text for output in response.output if hasattr(output, 'text')] + if text_response: + print("No image generated. Model response:") + print("\\n".join(text_response)) + else: + print("No image data found in response.") + print("Full response for debugging:") + print(response) +`;break;case o.IMAGE_EDITS:t="azure"===A?` +import base64 +import os +import time +import json +from PIL import Image +import requests + +# Helper function to encode images to base64 +def encode_image(image_path): + with open(image_path, "rb") as image_file: + return base64.b64encode(image_file.read()).decode('utf-8') + +# The prompt entered by the user +prompt = "${E}" + +# Encode images to base64 +base64_image1 = encode_image("body-lotion.png") +base64_image2 = encode_image("soap.png") + +# Create file IDs +file_id1 = create_file("body-lotion.png") +file_id2 = create_file("incense-kit.png") + +response = client.responses.create( + model="${S}", + input=[ + { + "role": "user", + "content": [ + {"type": "input_text", "text": prompt}, + { + "type": "input_image", + "image_url": f"data:image/jpeg;base64,{base64_image1}", + }, + { + "type": "input_image", + "image_url": f"data:image/jpeg;base64,{base64_image2}", + }, + { + "type": "input_image", + "file_id": file_id1, + }, + { + "type": "input_image", + "file_id": file_id2, + } + ], + } + ], + tools=[{"type": "image_generation"}], +) + +# Process the response +image_generation_calls = [ + output + for output in response.output + if output.type == "image_generation_call" +] + +image_data = [output.result for output in image_generation_calls] + +if image_data: + image_base64 = image_data[0] + image_filename = f"edited_image_{int(time.time())}.png" + with open(image_filename, "wb") as f: + f.write(base64.b64decode(image_base64)) + print(f"Image saved to {image_filename}") +else: + # If no image is generated, there might be a text response with an explanation + text_response = [output.text for output in response.output if hasattr(output, 'text')] + if text_response: + print("No image generated. Model response:") + print("\\n".join(text_response)) + else: + print("No image data found in response.") + print("Full response for debugging:") + print(response) +`:` +import base64 +import os +import time + +# Helper function to encode images to base64 +def encode_image(image_path): + with open(image_path, "rb") as image_file: + return base64.b64encode(image_file.read()).decode('utf-8') + +# Helper function to create a file (simplified for this example) +def create_file(image_path): + # In a real implementation, this would upload the file to OpenAI + # For this example, we'll just return a placeholder ID + return f"file_{os.path.basename(image_path).replace('.', '_')}" + +# The prompt entered by the user +prompt = "${E}" + +# Encode images to base64 +base64_image1 = encode_image("body-lotion.png") +base64_image2 = encode_image("soap.png") + +# Create file IDs +file_id1 = create_file("body-lotion.png") +file_id2 = create_file("incense-kit.png") + +response = client.responses.create( + model="${S}", + input=[ + { + "role": "user", + "content": [ + {"type": "input_text", "text": prompt}, + { + "type": "input_image", + "image_url": f"data:image/jpeg;base64,{base64_image1}", + }, + { + "type": "input_image", + "image_url": f"data:image/jpeg;base64,{base64_image2}", + }, + { + "type": "input_image", + "file_id": file_id1, + }, + { + "type": "input_image", + "file_id": file_id2, + } + ], + } + ], + tools=[{"type": "image_generation"}], +) + +# Process the response +image_generation_calls = [ + output + for output in response.output + if output.type == "image_generation_call" +] + +image_data = [output.result for output in image_generation_calls] + +if image_data: + image_base64 = image_data[0] + image_filename = f"edited_image_{int(time.time())}.png" + with open(image_filename, "wb") as f: + f.write(base64.b64decode(image_base64)) + print(f"Image saved to {image_filename}") +else: + # If no image is generated, there might be a text response with an explanation + text_response = [output.text for output in response.output if hasattr(output, 'text')] + if text_response: + print("No image generated. 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openai + +client = openai.OpenAI( + api_key="${v||"YOUR_LITELLM_API_KEY"}", + base_url="${y}" +)`;switch(h){case n.CHAT:{let e=Object.keys(N).length>0,o="";if(e){let e=JSON.stringify({metadata:N},null,2).split("\n").map(e=>" ".repeat(4)+e).join("\n").trim();o=`, + extra_body=${e}`}let i=k.length>0?k:[{role:"user",content:w}];t=` +import base64 + +# Helper function to encode images to base64 +def encode_image(image_path): + with open(image_path, "rb") as image_file: + return base64.b64encode(image_file.read()).decode('utf-8') + +# Example with text only +response = client.chat.completions.create( + model="${C}", + messages=${JSON.stringify(i,null,4)}${o} +) + +print(response) + +# Example with image or PDF (uncomment and provide file path to use) +# base64_file = encode_image("path/to/your/file.jpg") # or .pdf +# response_with_file = client.chat.completions.create( +# model="${C}", +# messages=[ +# { +# "role": "user", +# "content": [ +# { +# "type": "text", +# "text": "${S}" +# }, +# { +# "type": "image_url", +# "image_url": { +# "url": f"data:image/jpeg;base64,{base64_file}" # or data:application/pdf;base64,{base64_file} +# } +# } +# ] +# } +# ]${o} +# ) +# print(response_with_file) +`;break}case n.RESPONSES:{let e=Object.keys(N).length>0,o="";if(e){let e=JSON.stringify({metadata:N},null,2).split("\n").map(e=>" ".repeat(4)+e).join("\n").trim();o=`, + extra_body=${e}`}let i=k.length>0?k:[{role:"user",content:w}];t=` +import base64 + +# Helper function to encode images to base64 +def encode_image(image_path): + with open(image_path, "rb") as image_file: + return base64.b64encode(image_file.read()).decode('utf-8') + +# Example with text only +response = client.responses.create( + model="${C}", + input=${JSON.stringify(i,null,4)}${o} +) + +print(response.output_text) + +# Example with image or PDF (uncomment and provide file path to use) +# base64_file = encode_image("path/to/your/file.jpg") # or .pdf +# response_with_file = client.responses.create( +# model="${C}", +# input=[ +# { +# "role": "user", +# "content": [ +# {"type": "input_text", "text": "${S}"}, +# { +# "type": "input_image", +# "image_url": f"data:image/jpeg;base64,{base64_file}", # or data:application/pdf;base64,{base64_file} +# }, +# ], +# } +# ]${o} +# ) +# print(response_with_file.output_text) +`;break}case n.IMAGE:t="azure"===b?` +# NOTE: The Azure SDK does not have a direct equivalent to the multi-modal 'responses.create' method shown for OpenAI. +# This snippet uses 'client.images.generate' and will create a new image based on your prompt. +# It does not use the uploaded image, as 'client.images.generate' does not support image inputs in this context. +import os +import requests +import json +import time +from PIL import Image + +result = client.images.generate( + model="${C}", + prompt="${a}", + n=1 +) + +json_response = json.loads(result.model_dump_json()) + +# Set the directory for the stored image +image_dir = os.path.join(os.curdir, 'images') + +# If the directory doesn't exist, create it +if not os.path.isdir(image_dir): + os.mkdir(image_dir) + +# Initialize the image path +image_filename = f"generated_image_{int(time.time())}.png" +image_path = os.path.join(image_dir, image_filename) + +try: + # Retrieve the generated image + if json_response.get("data") && len(json_response["data"]) > 0 && json_response["data"][0].get("url"): + image_url = json_response["data"][0]["url"] + generated_image = requests.get(image_url).content + with open(image_path, "wb") as image_file: + image_file.write(generated_image) + + print(f"Image saved to {image_path}") + # Display the image + image = Image.open(image_path) + image.show() + else: + print("Could not find image URL in response.") + print("Full response:", json_response) +except Exception as e: + print(f"An error occurred: {e}") + print("Full response:", json_response) +`:` +import base64 +import os +import time +import json +from PIL import Image +import requests + +# Helper function to encode images to base64 +def encode_image(image_path): + with open(image_path, "rb") as image_file: + return base64.b64encode(image_file.read()).decode('utf-8') + +# Helper function to create a file (simplified for this example) +def create_file(image_path): + # In a real implementation, this would upload the file to OpenAI + # For this example, we'll just return a placeholder ID + return f"file_{os.path.basename(image_path).replace('.', '_')}" + +# The prompt entered by the user +prompt = "${S}" + +# Encode images to base64 +base64_image1 = encode_image("body-lotion.png") +base64_image2 = encode_image("soap.png") + +# Create file IDs +file_id1 = create_file("body-lotion.png") +file_id2 = create_file("incense-kit.png") + +response = client.responses.create( + model="${C}", + input=[ + { + "role": "user", + "content": [ + {"type": "input_text", "text": prompt}, + { + "type": "input_image", + "image_url": f"data:image/jpeg;base64,{base64_image1}", + }, + { + "type": "input_image", + "image_url": f"data:image/jpeg;base64,{base64_image2}", + }, + { + "type": "input_image", + "file_id": file_id1, + }, + { + "type": "input_image", + "file_id": file_id2, + } + ], + } + ], + tools=[{"type": "image_generation"}], +) + +# Process the response +image_generation_calls = [ + output + for output in response.output + if output.type == "image_generation_call" +] + +image_data = [output.result for output in image_generation_calls] + +if image_data: + image_base64 = image_data[0] + image_filename = f"edited_image_{int(time.time())}.png" + with open(image_filename, "wb") as f: + f.write(base64.b64decode(image_base64)) + print(f"Image saved to {image_filename}") +else: + # If no image is generated, there might be a text response with an explanation + text_response = [output.text for output in response.output if hasattr(output, 'text')] + if text_response: + print("No image generated. Model response:") + print("\\n".join(text_response)) + else: + print("No image data found in response.") + print("Full response for debugging:") + print(response) +`;break;case n.IMAGE_EDITS:t="azure"===b?` +import base64 +import os +import time +import json +from PIL import Image +import requests + +# Helper function to encode images to base64 +def encode_image(image_path): + with open(image_path, "rb") as image_file: + return base64.b64encode(image_file.read()).decode('utf-8') + +# The prompt entered by the user +prompt = "${S}" + +# Encode images to base64 +base64_image1 = encode_image("body-lotion.png") +base64_image2 = encode_image("soap.png") + +# Create file IDs +file_id1 = create_file("body-lotion.png") +file_id2 = create_file("incense-kit.png") + +response = client.responses.create( + model="${C}", + input=[ + { + "role": "user", + "content": [ + {"type": "input_text", "text": prompt}, + { + "type": "input_image", + "image_url": f"data:image/jpeg;base64,{base64_image1}", + }, + { + "type": "input_image", + "image_url": f"data:image/jpeg;base64,{base64_image2}", + }, + { + "type": "input_image", + "file_id": file_id1, + }, + { + "type": "input_image", + "file_id": file_id2, + } + ], + } + ], + tools=[{"type": "image_generation"}], +) + +# Process the response +image_generation_calls = [ + output + for output in response.output + if output.type == "image_generation_call" +] + +image_data = [output.result for output in image_generation_calls] + +if image_data: + image_base64 = image_data[0] + image_filename = f"edited_image_{int(time.time())}.png" + with open(image_filename, "wb") as f: + f.write(base64.b64decode(image_base64)) + print(f"Image saved to {image_filename}") +else: + # If no image is generated, there might be a text response with an explanation + text_response = [output.text for output in response.output if hasattr(output, 'text')] + if text_response: + print("No image generated. Model response:") + print("\\n".join(text_response)) + else: + print("No image data found in response.") + print("Full response for debugging:") + print(response) +`:` +import base64 +import os +import time + +# Helper function to encode images to base64 +def encode_image(image_path): + with open(image_path, "rb") as image_file: + return base64.b64encode(image_file.read()).decode('utf-8') + +# Helper function to create a file (simplified for this example) +def create_file(image_path): + # In a real implementation, this would upload the file to OpenAI + # For this example, we'll just return a placeholder ID + return f"file_{os.path.basename(image_path).replace('.', '_')}" + +# The prompt entered by the user +prompt = "${S}" + +# Encode images to base64 +base64_image1 = encode_image("body-lotion.png") +base64_image2 = encode_image("soap.png") + +# Create file IDs +file_id1 = create_file("body-lotion.png") +file_id2 = create_file("incense-kit.png") + +response = client.responses.create( + model="${C}", + input=[ + { + "role": "user", + "content": [ + {"type": "input_text", "text": prompt}, + { + "type": "input_image", + "image_url": f"data:image/jpeg;base64,{base64_image1}", + }, + { + "type": "input_image", + "image_url": f"data:image/jpeg;base64,{base64_image2}", + }, + { + "type": "input_image", + "file_id": file_id1, + }, + { + "type": "input_image", + "file_id": file_id2, + } + ], + } + ], + tools=[{"type": "image_generation"}], +) + +# Process the response +image_generation_calls = [ + output + for output in response.output + if output.type == "image_generation_call" +] + +image_data = [output.result for output in image_generation_calls] + +if image_data: + image_base64 = image_data[0] + image_filename = f"edited_image_{int(time.time())}.png" + with open(image_filename, "wb") as f: + f.write(base64.b64decode(image_base64)) + print(f"Image saved to {image_filename}") +else: + # If no image is generated, there might be a text response with an explanation + text_response = [output.text for output in response.output if hasattr(output, 'text')] + if text_response: + print("No image generated. Model response:") + print("\\n".join(text_response)) + else: + print("No image data found in response.") + print("Full response for debugging:") + print(response) +`;break;case n.EMBEDDINGS:t=` +response = client.embeddings.create( + input="${a||"Your string here"}", + model="${C}", + encoding_format="base64" # or "float" +) + +print(response.data[0].embedding) +`;break;case n.TRANSCRIPTION:t=` +# Open the audio file +audio_file = open("path/to/your/audio/file.mp3", "rb") + +# Make the transcription request +response = client.audio.transcriptions.create( + model="${C}", + file=audio_file${a?`, + prompt="${a.replace(/\\/g,"\\\\").replace(/"/g,'\\"')}"`:""} +) + +print(response.text) +`;break;case n.SPEECH:t=` +# Make the text-to-speech request +response = client.audio.speech.create( + model="${C}", + input="${a||"Your text to convert to speech here"}", + voice="${g}" # Options: alloy, ash, ballad, coral, echo, fable, nova, onyx, sage, shimmer +) + +# Save the audio to a file +output_filename = "output_speech.mp3" +response.stream_to_file(output_filename) +print(f"Audio saved to {output_filename}") + +# Optional: Customize response format and speed +# response = client.audio.speech.create( +# model="${C}", +# input="${a||"Your text to convert to speech here"}", +# voice="alloy", +# response_format="mp3", # 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LLM Cost Estimate Report

+

${a} model${1!==a?"s":""} configured

+ +
+

Combined Totals

+
+
+
Total Per Request
+
${tA(e.totals.cost_per_request)}
+
+
+
Total Daily
+
${tA(e.totals.daily_cost)}
+
+
+
Total Monthly
+
${tA(e.totals.monthly_cost)}
+
+
+ ${e.totals.margin_per_request>0?` +
+
+
Margin/Request
+
${tA(e.totals.margin_per_request)}
+
+
+
Daily Margin
+
${tA(e.totals.daily_margin)}
+
+
+
Monthly Margin
+
${tA(e.totals.monthly_margin)}
+
+
+ `:""} +
+ +

Model Breakdown

+ ${s.map(e=>{let t;return t=e.result,` +
+

${t.model} ${t.provider?`(${t.provider})`:""}

+ +
+

Input Tokens per Request: ${tM(t.input_tokens)}

+

Output Tokens per Request: ${tM(t.output_tokens)}

+ ${t.num_requests_per_day?`

Requests per Day: ${tM(t.num_requests_per_day)}

`:""} + ${t.num_requests_per_month?`

Requests per Month: ${tM(t.num_requests_per_month)}

`:""} +
+ + + + + + ${null!==t.daily_cost?"":""} + ${null!==t.monthly_cost?"":""} + + + + + ${null!==t.daily_cost?``:""} + ${null!==t.monthly_cost?``:""} + + + + + ${null!==t.daily_cost?``:""} + ${null!==t.monthly_cost?``:""} + + + + + ${null!==t.daily_cost?``:""} + ${null!==t.monthly_cost?``:""} + + + + + ${null!==t.daily_cost?``:""} + ${null!==t.monthly_cost?``:""} + +
Cost TypePer RequestDailyMonthly
Input Cost${tA(t.input_cost_per_request)}${tA(t.daily_input_cost)}${tA(t.monthly_input_cost)}
Output Cost${tA(t.output_cost_per_request)}${tA(t.daily_output_cost)}${tA(t.monthly_output_cost)}
Margin/Fee${tA(t.margin_cost_per_request)}${tA(t.daily_margin_cost)}${tA(t.monthly_margin_cost)}
Total${tA(t.cost_per_request)}${tA(t.daily_cost)}${tA(t.monthly_cost)}
+
+ `}).join("")} + +
+

Generated by LiteLLM Pricing Calculator on ${new Date().toLocaleString()}

+
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with text only -response = client.chat.completions.create( - model="${O}", - messages=${JSON.stringify(n,null,4)}${o} -) - -print(response) - -# Example with image or PDF (uncomment and provide file path to use) -# base64_file = encode_image("path/to/your/file.jpg") # or .pdf -# response_with_file = client.chat.completions.create( -# model="${O}", -# messages=[ -# { -# "role": "user", -# "content": [ -# { -# "type": "text", -# "text": "${S}" -# }, -# { -# "type": "image_url", -# "image_url": { -# "url": f"data:image/jpeg;base64,{base64_file}" # or data:application/pdf;base64,{base64_file} -# } -# } -# ] -# } -# ]${o} -# ) -# print(response_with_file) -`;break}case i.RESPONSES:{let e=Object.keys(C).length>0,o="";if(e){let e=JSON.stringify({metadata:C},null,2).split("\n").map(e=>" ".repeat(4)+e).join("\n").trim();o=`, - extra_body=${e}`}let n=k.length>0?k:[{role:"user",content:j}];t=` -import base64 - -# Helper function to encode images to base64 -def encode_image(image_path): - with open(image_path, "rb") as image_file: - return base64.b64encode(image_file.read()).decode('utf-8') - -# Example with text only -response = client.responses.create( - model="${O}", - input=${JSON.stringify(n,null,4)}${o} -) - -print(response.output_text) - -# Example with image or PDF (uncomment and provide file path to use) -# base64_file = encode_image("path/to/your/file.jpg") # or .pdf -# response_with_file = client.responses.create( -# model="${O}", -# input=[ -# { -# "role": "user", -# "content": [ -# {"type": "input_text", "text": "${S}"}, -# { -# "type": "input_image", -# "image_url": f"data:image/jpeg;base64,{base64_file}", # or data:application/pdf;base64,{base64_file} -# }, -# ], -# } -# ]${o} -# ) -# print(response_with_file.output_text) -`;break}case i.IMAGE:t="azure"===b?` -# NOTE: The Azure SDK does not have a direct equivalent to the multi-modal 'responses.create' method shown for OpenAI. -# This snippet uses 'client.images.generate' and will create a new image based on 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image_file.write(generated_image) - - print(f"Image saved to {image_path}") - # Display the image - image = Image.open(image_path) - image.show() - else: - print("Could not find image URL in response.") - print("Full response:", json_response) -except Exception as e: - print(f"An error occurred: {e}") - print("Full response:", json_response) -`:` -import base64 -import os -import time -import json -from PIL import Image -import requests - -# Helper function to encode images to base64 -def encode_image(image_path): - with open(image_path, "rb") as image_file: - return base64.b64encode(image_file.read()).decode('utf-8') - -# Helper function to create a file (simplified for this example) -def create_file(image_path): - # In a real implementation, this would upload the file to OpenAI - # For this example, we'll just return a placeholder ID - return f"file_{os.path.basename(image_path).replace('.', '_')}" - -# The prompt entered by the user -prompt = "${S}" - -# Encode images to base64 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Model response:") - print("\\n".join(text_response)) - else: - print("No image data found in response.") - print("Full response for debugging:") - print(response) -`;break;case i.IMAGE_EDITS:t="azure"===b?` -import base64 -import os -import time -import json -from PIL import Image -import requests - -# Helper function to encode images to base64 -def encode_image(image_path): - with open(image_path, "rb") as image_file: - return base64.b64encode(image_file.read()).decode('utf-8') - -# The prompt entered by the user -prompt = "${S}" - -# Encode images to base64 -base64_image1 = encode_image("body-lotion.png") -base64_image2 = encode_image("soap.png") - -# Create file IDs -file_id1 = create_file("body-lotion.png") -file_id2 = create_file("incense-kit.png") - -response = client.responses.create( - model="${O}", - input=[ - { - "role": "user", - "content": [ - {"type": "input_text", "text": prompt}, - { - "type": "input_image", - "image_url": f"data:image/jpeg;base64,{base64_image1}", - }, - { - "type": "input_image", - "image_url": f"data:image/jpeg;base64,{base64_image2}", - }, - { - "type": "input_image", - "file_id": file_id1, - }, - { - "type": "input_image", - "file_id": file_id2, - } - ], - } - ], - tools=[{"type": "image_generation"}], -) - -# Process the response -image_generation_calls = [ - output - for output in response.output - if output.type == "image_generation_call" -] - -image_data = [output.result for output in image_generation_calls] - -if image_data: - image_base64 = image_data[0] - image_filename = f"edited_image_{int(time.time())}.png" - with open(image_filename, "wb") as f: - f.write(base64.b64decode(image_base64)) - print(f"Image saved to {image_filename}") -else: - # If no image is generated, there might be a text response with an explanation - text_response = [output.text for output in response.output if hasattr(output, 'text')] - if text_response: - print("No image generated. Model response:") - print("\\n".join(text_response)) - else: - print("No image data found in response.") - print("Full response for debugging:") - print(response) -`:` -import base64 -import os -import time - -# Helper function to encode images to base64 -def encode_image(image_path): - with open(image_path, "rb") as image_file: - return base64.b64encode(image_file.read()).decode('utf-8') - -# Helper function to create a file (simplified for this example) -def create_file(image_path): - # In a real implementation, this would upload the file to OpenAI - # For this example, we'll just return a placeholder ID - return f"file_{os.path.basename(image_path).replace('.', '_')}" - -# The prompt entered by the user -prompt = "${S}" - -# Encode images to base64 -base64_image1 = encode_image("body-lotion.png") -base64_image2 = encode_image("soap.png") - -# Create file IDs -file_id1 = create_file("body-lotion.png") -file_id2 = create_file("incense-kit.png") - -response = client.responses.create( - model="${O}", - input=[ - { - "role": "user", - "content": [ - {"type": "input_text", "text": prompt}, - { - "type": "input_image", - "image_url": f"data:image/jpeg;base64,{base64_image1}", - }, - { - "type": "input_image", - "image_url": f"data:image/jpeg;base64,{base64_image2}", - }, - { - "type": "input_image", - "file_id": file_id1, - }, - { - "type": "input_image", - "file_id": file_id2, - } - ], - } - ], - tools=[{"type": "image_generation"}], -) - -# Process the response -image_generation_calls = [ - output - for output in response.output - if output.type == "image_generation_call" -] - -image_data = [output.result for output in image_generation_calls] - -if image_data: - image_base64 = image_data[0] - image_filename = f"edited_image_{int(time.time())}.png" - with open(image_filename, "wb") as f: - f.write(base64.b64decode(image_base64)) - print(f"Image saved to {image_filename}") -else: - # If no image is generated, there might be a text response with an explanation - text_response = [output.text for output in response.output if hasattr(output, 'text')] - if text_response: - print("No image generated. 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diff --git a/litellm/proxy/_experimental/out/virtual-keys/__next._tree.txt b/litellm/proxy/_experimental/out/virtual-keys/__next._tree.txt index 047910d64f1..af2fb5658fa 100644 --- a/litellm/proxy/_experimental/out/virtual-keys/__next._tree.txt +++ b/litellm/proxy/_experimental/out/virtual-keys/__next._tree.txt @@ -1,4 +1,4 @@ :HL["/litellm-asset-prefix/_next/static/chunks/4e20891f2fd03463.css","style"] :HL["/litellm-asset-prefix/_next/static/chunks/91037395c95e366d.css","style"] :HL["/litellm-asset-prefix/_next/static/media/83afe278b6a6bb3c-s.p.3a6ba036.woff2","font",{"crossOrigin":"","type":"font/woff2"}] 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+0:{"buildId":"vipo1KaFppvC6fyoT1UMK","tree":{"name":"","paramType":null,"paramKey":"","hasRuntimePrefetch":false,"slots":{"children":{"name":"(dashboard)","paramType":null,"paramKey":"(dashboard)","hasRuntimePrefetch":false,"slots":{"children":{"name":"virtual-keys","paramType":null,"paramKey":"virtual-keys","hasRuntimePrefetch":false,"slots":{"children":{"name":"__PAGE__","paramType":null,"paramKey":"__PAGE__","hasRuntimePrefetch":false,"slots":null,"isRootLayout":false}},"isRootLayout":false}},"isRootLayout":false}},"isRootLayout":true},"staleTime":300} diff --git a/litellm/proxy/_lazy_features.py b/litellm/proxy/_lazy_features.py index d58bfbbdb52..9f034575222 100644 --- a/litellm/proxy/_lazy_features.py +++ b/litellm/proxy/_lazy_features.py @@ -257,6 +257,13 @@ class LazyFeatureMiddleware: self.app = app self._fastapi_app = fastapi_app self._features = features + # SERVER_ROOT_PATH is a process-startup env var, cache the normalized + # form once instead of recomputing per request. Lazy import to avoid + # pulling proxy.utils into this module's import graph at startup + # (proxy_server imports both). + from litellm.proxy.utils import get_server_root_path + + self._root_path = get_server_root_path().rstrip("/") # Loaded set / per-feature locks live on app.state so the warm endpoint # and the middleware share them — preventing duplicate registrations # when both paths fire for the same feature. @@ -274,6 +281,15 @@ class LazyFeatureMiddleware: self._features ): path = scope.get("path", "") + # Strip SERVER_ROOT_PATH so prefix matching works under a server + # root path. Without this, requests like /api/v1/policies/... never + # match the registered prefixes (/policies/...) and lazy features + # stay unloaded — every endpoint under them returns 404. The + # `+ "/"` boundary prevents false-positive matches (e.g. /apiv2 + # against root /api). If the path doesn't start with the prefix + # (e.g. a reverse proxy already stripped it), we leave it alone. + if self._root_path and path.startswith(self._root_path + "/"): + path = path[len(self._root_path) :] for feat in self._features: if feat.module_path in self._loaded: continue diff --git a/litellm/proxy/_types.py b/litellm/proxy/_types.py index d58612d5054..6128f485748 100644 --- a/litellm/proxy/_types.py +++ b/litellm/proxy/_types.py @@ -239,6 +239,7 @@ class KeyManagementRoutes(str, enum.Enum): KEY_BLOCK = "/key/block" KEY_UNBLOCK = "/key/unblock" KEY_BULK_UPDATE = "/key/bulk_update" + TEAM_KEY_BULK_UPDATE = "/team/key/bulk_update" KEY_RESET_SPEND = "/key/{key_id}/reset_spend" # info and health routes @@ -540,6 +541,7 @@ class LiteLLMRoutes(enum.Enum): KeyManagementRoutes.KEY_BLOCK.value, KeyManagementRoutes.KEY_UNBLOCK.value, KeyManagementRoutes.KEY_BULK_UPDATE.value, + KeyManagementRoutes.TEAM_KEY_BULK_UPDATE.value, KeyManagementRoutes.TEAM_DAILY_ACTIVITY.value, KeyManagementRoutes.SPEND_LOGS.value, KeyManagementRoutes.KEY_RESET_SPEND.value, @@ -675,6 +677,10 @@ class LiteLLMRoutes(enum.Enum): "/global/activity", "/global/activity/model", "/global/activity/cache_hits", + # Tag usage endpoints scope internal users to tags produced by + # their own keys in tag_management_endpoints.py. + "/tag/daily/activity", + "/tag/list", "/v1/models/{model_id}", "/models/{model_id}", "/guardrails/list", @@ -687,7 +693,16 @@ class LiteLLMRoutes(enum.Enum): + compliance_check_routes ) - internal_user_view_only_routes = spend_tracking_routes + internal_user_view_only_routes = ( + spend_tracking_routes + + compliance_check_routes + + [ + # Tag usage endpoints scope internal viewers to tags produced by + # their own keys in tag_management_endpoints.py. + "/tag/daily/activity", + "/tag/list", + ] + ) self_managed_routes = [ "/team/member_add", @@ -4346,10 +4361,16 @@ class JWTRoutingOverride(BaseModel): A rule matches when all provided selectors match token claims. If matched, request is routed to the configured auth path. + + Wildcard selectors use shell-style patterns (* and ?) and are matched with + case-sensitive semantics; use the same casing your IdP emits in JWT claims. + Space-delimited tokenization applies only to the ``scope`` claim (OAuth/OIDC + scope strings), not to ``iss``, ``aud``, or ``client_id``. """ iss: Union[str, List[str]] client_id: Optional[Union[str, List[str]]] = None + scope: Optional[Union[str, List[str]]] = None aud: Optional[Union[str, List[str]]] = None path: Literal["oauth2"] = "oauth2" diff --git a/litellm/proxy/auth/handle_jwt.py b/litellm/proxy/auth/handle_jwt.py index d1fd5818f35..5b116c142b2 100644 --- a/litellm/proxy/auth/handle_jwt.py +++ b/litellm/proxy/auth/handle_jwt.py @@ -224,6 +224,41 @@ class JWTHandler: return [] + def get_all_jwt_team_ids(self, token: dict) -> List[str]: + """ + Return team IDs from both the plural ``team_ids_jwt_field`` and the + singular ``team_id_jwt_field`` claim (string or list of strings), as a + deduplicated list preserving plural-first order. + + Membership-reconciliation paths (SSO callback, JWT-bearer sync) need + to consider both claim shapes. Reading only the plural field — as + callers historically did — silently dropped users whose IdP populates + the singular field, which is what Okta and Auth0 default to when a + user has a single primary team. + + This intentionally does NOT consult ``team_id_default``: that fallback + is a property of how the JWT-bearer auth flow resolves a single + request-bound team, not of the token's claims. Callers that want the + default-team behavior should still go through ``get_team_id``. + """ + team_ids: List[str] = list(self.get_team_ids_from_jwt(token)) + if self.litellm_jwtauth.team_id_jwt_field is not None: + singular = get_nested_value( + data=token, + key_path=self.litellm_jwtauth.team_id_jwt_field, + default=None, + ) + if isinstance(singular, list): + for item in singular: + if item is None: + continue + sid = str(item) + if sid and sid not in team_ids: + team_ids.append(sid) + elif singular and str(singular) not in team_ids: + team_ids.append(str(singular)) + return team_ids + def get_end_user_id( self, token: dict, default_value: Optional[str] ) -> Optional[str]: diff --git a/litellm/proxy/auth/route_checks.py b/litellm/proxy/auth/route_checks.py index 8bcfbb67539..a9c36dfc512 100644 --- a/litellm/proxy/auth/route_checks.py +++ b/litellm/proxy/auth/route_checks.py @@ -50,6 +50,7 @@ _PROXY_ADMIN_VIEW_ONLY_BLOCKED_ROUTES = frozenset( KeyManagementRoutes.KEY_BLOCK.value, KeyManagementRoutes.KEY_UNBLOCK.value, KeyManagementRoutes.KEY_BULK_UPDATE.value, + KeyManagementRoutes.TEAM_KEY_BULK_UPDATE.value, ] ) @@ -671,6 +672,7 @@ class RouteChecks: "/key/service-account/generate", "/key/block", "/key/unblock", + "/team/key/bulk_update", ] ) diff --git a/litellm/proxy/auth/user_api_key_auth.py b/litellm/proxy/auth/user_api_key_auth.py index 4778549befc..03167c5a2dc 100644 --- a/litellm/proxy/auth/user_api_key_auth.py +++ b/litellm/proxy/auth/user_api_key_auth.py @@ -8,6 +8,7 @@ Returns a UserAPIKeyAuth object if the API key is valid """ import asyncio +import fnmatch import re import secrets from datetime import datetime, timezone @@ -67,6 +68,7 @@ from litellm.proxy.common_utils.http_parsing_utils import ( populate_request_with_path_params, ) from litellm.proxy.common_utils.realtime_utils import _realtime_request_body +from litellm.proxy.litellm_pre_call_utils import LiteLLMProxyRequestSetup from litellm.proxy.utils import ( PrismaClient, ProxyLogging, @@ -183,22 +185,54 @@ def _get_bearer_token_or_received_api_key(api_key: str) -> str: def _routing_selector_matches_claim( - selector_value: Optional[Any], claim_value: Optional[Any] + selector_value: Optional[Any], + claim_value: Optional[Any], + *, + split_space_delimited: bool = False, ) -> bool: if selector_value is None: return True - selector_list = ( + selector_list: List[str] = ( [str(v) for v in selector_value] if isinstance(selector_value, list) else [str(selector_value)] ) + if claim_value is None: + return False + if isinstance(claim_value, list): claim_list = [str(v) for v in claim_value] - return any(v in claim_list for v in selector_list) + elif ( + split_space_delimited + and isinstance(claim_value, str) + and " " in claim_value.strip() + ): + # OAuth/OIDC often sends scope as a single space-delimited string. Only split + # for the scope selector: iss/aud/client_id must stay exact full-string match + # on unverified claims (see routing override security review). The elif guard + # (`" " in claim_value.strip()`) ensures at least two non-empty tokens survive. + claim_list = [v for v in claim_value.strip().split(" ") if v] + else: + claim_list = [str(claim_value)] - return str(claim_value) in selector_list if claim_value is not None else False + def _selector_matches_claim(selector: str, claim: str) -> bool: + # NOTE: wildcard matching is case-sensitive (fnmatch.fnmatchcase). + if "*" in selector or "?" in selector: + # Without scope splitting, do not let `*` span whitespace: a malformed + # iss like "trusted.example.com evil.com" must not match "trusted.*". + # Scope uses split_space_delimited so each claim token is checked separately. + if not split_space_delimited and any(ch.isspace() for ch in claim): + return False + return fnmatch.fnmatchcase(claim, selector) + return selector == claim + + return any( + _selector_matches_claim(selector=s, claim=c) + for s in selector_list + for c in claim_list + ) def _matches_routing_override( @@ -209,6 +243,11 @@ def _matches_routing_override( and _routing_selector_matches_claim( override.client_id, token_claims.get("client_id") ) + and _routing_selector_matches_claim( + override.scope, + token_claims.get("scope"), + split_space_delimited=True, + ) and _routing_selector_matches_claim(override.aud, token_claims.get("aud")) ) @@ -1939,6 +1978,16 @@ async def _run_centralized_common_checks( llm_router=llm_router, ) + # Merge x-litellm-tags into request_data BEFORE common_checks runs. + # _tag_max_budget_check inside common_checks only inspects request_data; + # without this pre-merge, header-supplied tags bypass tag-budget + # enforcement. + LiteLLMProxyRequestSetup.apply_client_tag_policy_pre_auth( + request=request, + request_data=request_data, + user_api_key_dict=user_api_key_auth_obj, + ) + _ = await common_checks( request=request, request_body=request_data, diff --git a/litellm/proxy/common_utils/reset_budget_job.py b/litellm/proxy/common_utils/reset_budget_job.py index 0928ce914da..52bbeaf2ad3 100644 --- a/litellm/proxy/common_utils/reset_budget_job.py +++ b/litellm/proxy/common_utils/reset_budget_job.py @@ -2,7 +2,7 @@ import asyncio import json import time from datetime import datetime, timezone -from typing import Any, List, Literal, Optional, Union +from typing import Any, Callable, List, Literal, Optional, Union import litellm from litellm._logging import verbose_proxy_logger @@ -83,93 +83,146 @@ class ResetBudgetJob: "Failed to reset spend counter %s: %s", counter_key, e ) + @staticmethod + async def _invalidate_user_api_key_cache_entry(cache_key: str) -> None: + """Drop a stale management-cache entry so the next read fetches from DB. + + Tags and end-users are not reseeded by ``SpendCounterReseed.from_db``; + for those, when the spend counter expires the budget check falls back + to ``cached_obj.spend``. Keys, orgs, and team memberships are reseeded + from the DB, but auth still may consult ``user_api_key_cache`` objects + whose ``.spend`` field can lag a cross-pod DB reset. Deleting the cache + entry forces the next auth-time fetch to reload the zeroed row from + Postgres. + """ + try: + from litellm.proxy.proxy_server import user_api_key_cache + + await user_api_key_cache.async_delete_cache(key=cache_key) + except Exception as e: + verbose_proxy_logger.warning( + "Failed to invalidate user_api_key_cache entry %s: %s", + cache_key, + e, + ) + + async def _cascade_reset_spend_for_budget_link( + self, + budgets_to_reset: List[LiteLLM_BudgetTableFull], + table: Any, + counter_key_fn: Callable[[Any], str], + log_subject: str, + extra_where: Optional[dict] = None, + cache_key_fn: Optional[Callable[[Any], Union[str, List[str]]]] = None, + ): + """ + Generic cascade: zero spend on rows whose budget_id is in the reset set. + + ``cache_key_fn`` is optional: when provided, after the DB update each + matching row's entry or entries in ``user_api_key_cache`` are dropped so + cached spend cannot stay pinned above the zeroed DB row after a reset. + """ + budget_ids = [b.budget_id for b in budgets_to_reset if b.budget_id is not None] + if not budget_ids: + return + + where: dict = {"budget_id": {"in": budget_ids}} + if extra_where: + where.update(extra_where) + + try: + rows = await table.find_many(where=where) + except Exception as e: + rows = [] + verbose_proxy_logger.warning( + "Failed to fetch %s for counter invalidation: %s", log_subject, e + ) + + update_result = await table.update_many(where=where, data={"spend": 0}) + + for row in rows: + await self._invalidate_spend_counter(counter_key_fn(row)) + if cache_key_fn is not None: + cache_keys = cache_key_fn(row) + if isinstance(cache_keys, str): + cache_keys = [cache_keys] + for cache_key in cache_keys: + await self._invalidate_user_api_key_cache_entry(cache_key) + + return update_result + async def reset_budget_for_litellm_team_members( self, budgets_to_reset: List[LiteLLM_BudgetTableFull] ): """ Resets the budget for all LiteLLM Team Members if their budget has expired """ - budget_ids = [ - budget.budget_id - for budget in budgets_to_reset - if budget.budget_id is not None - ] - - try: - memberships = await self.prisma_client.db.litellm_teammembership.find_many( - where={"budget_id": {"in": budget_ids}} - ) - except Exception as e: - memberships = [] - verbose_proxy_logger.warning( - "Failed to fetch team memberships for counter invalidation: %s", e - ) - - update_result = await self.prisma_client.db.litellm_teammembership.update_many( - where={"budget_id": {"in": budget_ids}}, - data={ - "spend": 0, - }, + return await self._cascade_reset_spend_for_budget_link( + budgets_to_reset=budgets_to_reset, + table=self.prisma_client.db.litellm_teammembership, + counter_key_fn=lambda m: f"spend:team_member:{m.user_id}:{m.team_id}", + log_subject="team memberships", + cache_key_fn=lambda m: f"{m.team_id}_{m.user_id}", ) - for m in memberships: - await self._invalidate_spend_counter( - f"spend:team_member:{m.user_id}:{m.team_id}" - ) - - return update_result - async def reset_budget_for_keys_linked_to_budgets( self, budgets_to_reset: List[LiteLLM_BudgetTableFull] ): """ Resets the spend for keys linked to budget tiers that are being reset. - This handles keys that have budget_id but no budget_duration set on the key - itself. Keys with budget_id rely on their linked budget tier's reset schedule - rather than having their own budget_duration. - - Keys that have their own budget_duration are already handled by - reset_budget_for_litellm_keys() and are excluded here to avoid - double-resetting. + Excludes keys with their own budget_duration; those are reset by + reset_budget_for_litellm_keys() to avoid double-resetting. """ - budget_ids = [ - budget.budget_id - for budget in budgets_to_reset - if budget.budget_id is not None - ] - if not budget_ids: - return - - where_clause: dict = { - "budget_id": {"in": budget_ids}, - "budget_duration": None, # only keys without their own reset schedule - "spend": {"gt": 0}, # only reset keys that have accumulated spend - } - - try: - keys = await self.prisma_client.db.litellm_verificationtoken.find_many( - where=where_clause - ) - except Exception as e: - keys = [] - verbose_proxy_logger.warning( - "Failed to fetch keys for counter invalidation: %s", e - ) - - update_result = ( - await self.prisma_client.db.litellm_verificationtoken.update_many( - where=where_clause, - data={ - "spend": 0, - }, - ) + return await self._cascade_reset_spend_for_budget_link( + budgets_to_reset=budgets_to_reset, + table=self.prisma_client.db.litellm_verificationtoken, + counter_key_fn=lambda k: f"spend:key:{k.token}", + log_subject="keys", + extra_where={"budget_duration": None, "spend": {"gt": 0}}, + cache_key_fn=lambda k: k.token, ) - for k in keys: - await self._invalidate_spend_counter(f"spend:key:{k.token}") + async def reset_budget_for_orgs_linked_to_budgets( + self, budgets_to_reset: List[LiteLLM_BudgetTableFull] + ): + """ + Resets the spend for orgs linked to budget tiers that are being reset. + """ + return await self._cascade_reset_spend_for_budget_link( + budgets_to_reset=budgets_to_reset, + table=self.prisma_client.db.litellm_organizationtable, + counter_key_fn=lambda o: f"spend:org:{o.organization_id}", + log_subject="orgs", + extra_where={"spend": {"gt": 0}}, + cache_key_fn=lambda o: [ + f"org_id:{o.organization_id}", + f"org_id:{o.organization_id}:with_budget", + ], + ) - return update_result + async def reset_budget_for_tags_linked_to_budgets( + self, budgets_to_reset: List[LiteLLM_BudgetTableFull] + ): + """ + Resets the spend for tags linked to budget tiers that are being reset. + + Also drops each tag's ``user_api_key_cache`` entry so the next + ``_tag_max_budget_check`` reloads the zeroed row from the DB. + ``SpendCounterReseed.from_db`` intentionally returns ``None`` for + tags, so the budget check falls back to the cached + ``LiteLLM_TagTable.spend`` once the spend counter expires; without + this invalidation, that stale ``.spend`` keeps the tag over-budget + indefinitely. + """ + return await self._cascade_reset_spend_for_budget_link( + budgets_to_reset=budgets_to_reset, + table=self.prisma_client.db.litellm_tagtable, + counter_key_fn=lambda t: f"spend:tag:{t.tag_name}", + log_subject="tags", + extra_where={"spend": {"gt": 0}}, + cache_key_fn=lambda t: f"tag:{t.tag_name}", + ) async def reset_budget_for_litellm_budget_table(self): """ @@ -237,6 +290,14 @@ class ResetBudgetJob: budgets_to_reset=budgets_to_reset ) + await self.reset_budget_for_orgs_linked_to_budgets( + budgets_to_reset=budgets_to_reset + ) + + await self.reset_budget_for_tags_linked_to_budgets( + budgets_to_reset=budgets_to_reset + ) + if endusers_to_reset is not None and len(endusers_to_reset) > 0: for enduser in endusers_to_reset: try: diff --git a/litellm/proxy/db/db_spend_update_writer.py b/litellm/proxy/db/db_spend_update_writer.py index 3697e498bb4..7611c9c9692 100644 --- a/litellm/proxy/db/db_spend_update_writer.py +++ b/litellm/proxy/db/db_spend_update_writer.py @@ -1131,10 +1131,12 @@ class DBSpendUpdateWriter: timeout=timedelta(seconds=60) ) as transaction: async with transaction.batch_() as batcher: - for ( - user_id, - response_cost, - ) in user_list_transactions.items(): + # Sort by ID for consistent lock ordering across pods to prevent deadlocks. + # batch_() issues statements sequentially within the tx, so iteration + # order = lock acquisition order. + for user_id, response_cost in sorted( + user_list_transactions.items() + ): batcher.litellm_usertable.update_many( where={"user_id": user_id}, data={"spend": {"increment": response_cost}}, @@ -1186,10 +1188,10 @@ class DBSpendUpdateWriter: timeout=timedelta(seconds=60) ) as transaction: async with transaction.batch_() as batcher: - for ( - token, - response_cost, - ) in key_list_transactions.items(): + # Sort by token for consistent lock ordering across pods to prevent deadlocks. + for token, response_cost in sorted( + key_list_transactions.items() + ): batcher.litellm_verificationtoken.update_many( # 'update_many' prevents error from being raised if no row exists where={"token": token}, data={ @@ -1230,10 +1232,10 @@ class DBSpendUpdateWriter: timeout=timedelta(seconds=60) ) as transaction: async with transaction.batch_() as batcher: - for ( - team_id, - response_cost, - ) in team_list_transactions.items(): + # Sort by team_id for consistent lock ordering across pods to prevent deadlocks. + for team_id, response_cost in sorted( + team_list_transactions.items() + ): verbose_proxy_logger.debug( "Updating spend for team id={} by {}".format( team_id, response_cost @@ -1288,10 +1290,11 @@ class DBSpendUpdateWriter: timeout=timedelta(seconds=60) ) as transaction: async with transaction.batch_() as batcher: - for ( - key, - response_cost, - ) in team_member_list_transactions.items(): + # Sort by composite key for consistent lock ordering across pods to prevent deadlocks. + # Key format "team_id::::user_id::" makes the string sort equivalent to sorting by (team_id, user_id). + for key, response_cost in sorted( + team_member_list_transactions.items() + ): # key is "team_id::::user_id::" team_id = key.split("::")[1] user_id = key.split("::")[3] @@ -1348,10 +1351,10 @@ class DBSpendUpdateWriter: timeout=timedelta(seconds=60) ) as transaction: async with transaction.batch_() as batcher: - for ( - org_id, - response_cost, - ) in org_list_transactions.items(): + # Sort by org_id for consistent lock ordering across pods to prevent deadlocks. + for org_id, response_cost in sorted( + org_list_transactions.items() + ): batcher.litellm_organizationtable.update_many( # 'update_many' prevents error from being raised if no row exists where={"organization_id": org_id}, data={"spend": {"increment": response_cost}}, @@ -1439,7 +1442,10 @@ class DBSpendUpdateWriter: timeout=timedelta(seconds=60) ) as transaction: async with transaction.batch_() as batcher: - for entity_id, response_cost in transactions.items(): + # Sort by entity_id for consistent lock ordering across pods to prevent deadlocks. + for entity_id, response_cost in sorted( + transactions.items() + ): verbose_proxy_logger.debug( f"Updating spend for {entity_name} {where_field}={entity_id} by {response_cost}" ) diff --git a/litellm/proxy/guardrails/guardrail_endpoints.py b/litellm/proxy/guardrails/guardrail_endpoints.py index 5351391e5e1..e55f3b6e16b 100644 --- a/litellm/proxy/guardrails/guardrail_endpoints.py +++ b/litellm/proxy/guardrails/guardrail_endpoints.py @@ -242,6 +242,10 @@ async def list_guardrails_v2( gid = guardrail.get("guardrail_id") if gid in seen_guardrail_ids: continue + # Skip stale DB-backed entries — the DB row was deleted (likely by + # another pod) and reconciliation hasn't fired yet on this pod. + if gid is not None and IN_MEMORY_GUARDRAIL_HANDLER.get_source(gid) == "db": + continue if not is_admin: g_team_id = guardrail.get("team_id") if g_team_id is not None and g_team_id not in caller_team_ids: @@ -360,7 +364,7 @@ async def create_guardrail( try: IN_MEMORY_GUARDRAIL_HANDLER.initialize_guardrail( - guardrail=cast(Guardrail, result) + guardrail=cast(Guardrail, result), source="db" ) verbose_proxy_logger.info( f"Immediate sync: Successfully initialized guardrail '{guardrail_name}' (ID: {guardrail_id})" @@ -1017,7 +1021,7 @@ async def approve_guardrail_submission( } try: IN_MEMORY_GUARDRAIL_HANDLER.initialize_guardrail( - guardrail=cast(Guardrail, guardrail_dict) + guardrail=cast(Guardrail, guardrail_dict), source="db" ) verbose_proxy_logger.info( "Approved guardrail %s (ID: %s) and initialized in memory", @@ -1295,10 +1299,18 @@ async def get_guardrail_info(guardrail_id: str): guardrail_id=guardrail_id, prisma_client=prisma_client ) if result is None: - result = IN_MEMORY_GUARDRAIL_HANDLER.get_guardrail_by_id( + in_memory = IN_MEMORY_GUARDRAIL_HANDLER.get_guardrail_by_id( guardrail_id=guardrail_id ) - guardrail_definition_location = GUARDRAIL_DEFINITION_LOCATION.CONFIG + # Only return config-loaded entries here. A DB-backed entry that's + # missing from the DB is stale (deleted on another pod, awaiting + # reconciliation on this one) and must surface as 404. + if ( + in_memory is not None + and IN_MEMORY_GUARDRAIL_HANDLER.get_source(guardrail_id) == "config" + ): + result = in_memory + guardrail_definition_location = GUARDRAIL_DEFINITION_LOCATION.CONFIG if result is None: raise HTTPException( diff --git a/litellm/proxy/guardrails/guardrail_registry.py b/litellm/proxy/guardrails/guardrail_registry.py index 838fb2e01ad..aafcc5f1819 100644 --- a/litellm/proxy/guardrails/guardrail_registry.py +++ b/litellm/proxy/guardrails/guardrail_registry.py @@ -3,7 +3,7 @@ import importlib import os from datetime import datetime, timezone -from typing import Any, Dict, List, Optional, Type, cast +from typing import Any, Dict, List, Literal, Optional, Set, Type, cast import litellm from litellm import Router @@ -403,11 +403,19 @@ class InMemoryGuardrailHandler: Guardrail id to CustomGuardrail object mapping """ + self._sources: Dict[str, Literal["db", "config"]] = {} + """ + Guardrail id to provenance marker. "db" entries are reconciled against + the DB on each polling tick; "config" entries are owned by proxy_config.yaml + and never deleted by reconciliation. + """ + def initialize_guardrail( self, guardrail: Guardrail, config_file_path: Optional[str] = None, llm_router: Optional["Router"] = None, + source: Literal["db", "config"] = "config", ) -> Optional[Guardrail]: """ Initialize a guardrail from a dictionary and add it to the litellm callback manager @@ -420,6 +428,10 @@ class InMemoryGuardrailHandler: verbose_proxy_logger.debug( "guardrail_id already exists in IN_MEMORY_GUARDRAILS" ) + # Honor the caller's source even on the early-return path so a + # racing polling tick or a hot-reload of config can correct an + # entry's provenance. + self._sources[guardrail_id] = source return self.IN_MEMORY_GUARDRAILS[guardrail_id] custom_guardrail_callback: Optional[CustomGuardrail] = None @@ -497,6 +509,7 @@ class InMemoryGuardrailHandler: # store references to the guardrail in memory self.IN_MEMORY_GUARDRAILS[guardrail_id] = parsed_guardrail self.guardrail_id_to_custom_guardrail[guardrail_id] = custom_guardrail_callback + self._sources[guardrail_id] = source return parsed_guardrail @@ -557,7 +570,10 @@ class InMemoryGuardrailHandler: return _guardrail_callback def update_in_memory_guardrail( - self, guardrail_id: str, guardrail: Guardrail + self, + guardrail_id: str, + guardrail: Guardrail, + source: Literal["db", "config"] = "db", ) -> None: """ Update a guardrail in memory @@ -566,6 +582,7 @@ class InMemoryGuardrailHandler: - updates the guardrail params in litellm.callback_manager """ self.IN_MEMORY_GUARDRAILS[guardrail_id] = guardrail + self._sources[guardrail_id] = source custom_guardrail_callback = self.guardrail_id_to_custom_guardrail.get( guardrail_id @@ -584,6 +601,7 @@ class InMemoryGuardrailHandler: """ # Remove from in-memory storage self.IN_MEMORY_GUARDRAILS.pop(guardrail_id, None) + self._sources.pop(guardrail_id, None) # Remove the callback from litellm.callbacks custom_guardrail_callback = self.guardrail_id_to_custom_guardrail.pop( @@ -608,6 +626,34 @@ class InMemoryGuardrailHandler: """ return self.IN_MEMORY_GUARDRAILS.get(guardrail_id) + def get_source(self, guardrail_id: str) -> Optional[Literal["db", "config"]]: + """ + Return the provenance of an in-memory guardrail. + """ + return self._sources.get(guardrail_id) + + def reconcile_db_guardrails(self, db_guardrail_ids: Set[str]) -> List[str]: + """ + Drop in-memory entries that originated from the DB but are no longer + present in db_guardrail_ids. Config-loaded guardrails are never touched. + + Called by the periodic DB polling tick so that a guardrail deleted + on another pod is eventually purged from this pod's memory + callbacks. + """ + stale_ids = [ + guardrail_id + for guardrail_id, source in self._sources.items() + if source == "db" and guardrail_id not in db_guardrail_ids + ] + for guardrail_id in stale_ids: + verbose_proxy_logger.info( + "Reconcile: removing stale DB-backed guardrail '%s' from memory " + "(deleted in DB by another pod)", + guardrail_id, + ) + self.delete_in_memory_guardrail(guardrail_id) + return stale_ids + def _has_guardrail_params_changed( self, guardrail_id: str, new_guardrail: Guardrail ) -> bool: @@ -661,7 +707,10 @@ class InMemoryGuardrailHandler: return len(changed_fields) > 0 def reinitialize_guardrail( - self, guardrail: Guardrail, config_file_path: Optional[str] = None + self, + guardrail: Guardrail, + config_file_path: Optional[str] = None, + source: Literal["db", "config"] = "config", ) -> Optional[Guardrail]: """ Force re-initialization of a guardrail even if it exists in memory. @@ -680,7 +729,7 @@ class InMemoryGuardrailHandler: # Initialize fresh (will add new callback to litellm.callbacks) return self.initialize_guardrail( - guardrail=guardrail, config_file_path=config_file_path + guardrail=guardrail, config_file_path=config_file_path, source=source ) def sync_guardrail_from_db( @@ -701,9 +750,15 @@ class InMemoryGuardrailHandler: f"Guardrail '{guardrail_name}' (ID: {guardrail_id}) params changed, re-initializing..." ) return self.reinitialize_guardrail( - guardrail=guardrail, config_file_path=config_file_path + guardrail=guardrail, + config_file_path=config_file_path, + source="db", ) + # Params unchanged but the entry is still DB-backed; make sure the + # source marker reflects that even if it was previously set differently + # (e.g. a config entry whose UUID later collided with a DB row). + self._sources[guardrail_id] = "db" return self.IN_MEMORY_GUARDRAILS.get(guardrail_id) diff --git a/litellm/proxy/guardrails/init_guardrails.py b/litellm/proxy/guardrails/init_guardrails.py index d742cc223b4..83f1281dc02 100644 --- a/litellm/proxy/guardrails/init_guardrails.py +++ b/litellm/proxy/guardrails/init_guardrails.py @@ -30,6 +30,7 @@ def init_guardrails_v2( guardrail=cast(Guardrail, guardrail), config_file_path=config_file_path, llm_router=llm_router, + source="config", ) if initialized_guardrail: guardrail_list.append(initialized_guardrail) diff --git a/litellm/proxy/health_check_utils/shared_health_check_manager.py b/litellm/proxy/health_check_utils/shared_health_check_manager.py index 5b8370fece8..ad58bc7e286 100644 --- a/litellm/proxy/health_check_utils/shared_health_check_manager.py +++ b/litellm/proxy/health_check_utils/shared_health_check_manager.py @@ -253,27 +253,63 @@ class SharedHealthCheckManager: # Always release the lock await self.release_health_check_lock() else: - # Lock not acquired, wait briefly and try to get cached results + # If Redis is not configured, skip polling — there is no cache + # to wait for. + if self.redis_cache is None: + return await perform_health_check( + model_list=model_list, + details=details, + max_concurrency=max_concurrency, + ) + + # Lock not acquired — poll for cached results until the lock + # holder finishes or the lock expires, rather than falling back + # to a redundant local health check after only 2 seconds. verbose_proxy_logger.debug( "Pod %s waiting for other pod to complete health check", self.pod_id ) - # Wait a bit for the other pod to complete - await asyncio.sleep(2) + poll_interval = 5 # seconds between cache checks + max_wait = self.lock_ttl # wait at most as long as the lock can live + elapsed = 0 - # Try to get cached results again - cached_results = await self.get_cached_health_check_results() - if cached_results is not None: - return ( - cached_results.get("healthy_endpoints", []), - cached_results.get("unhealthy_endpoints", []), - {}, - ) + while elapsed < max_wait: + await asyncio.sleep(poll_interval) + elapsed += poll_interval - # Still no cache, fall back to local health check + cached_results = await self.get_cached_health_check_results() + if cached_results is not None: + verbose_proxy_logger.info( + "Pod %s using cached health check results after waiting %ds", + self.pod_id, + elapsed, + ) + return ( + cached_results.get("healthy_endpoints", []), + cached_results.get("unhealthy_endpoints", []), + {}, + ) + + # Check if the lock is still held — if it was released without + # caching (e.g. the holder crashed), stop waiting early. + try: + lock_key = self.get_health_check_lock_key() + current_owner = await self.redis_cache.async_get_cache(lock_key) + if current_owner is None: + verbose_proxy_logger.debug( + "Pod %s detected lock released without cache, stopping wait", + self.pod_id, + ) + break + except Exception: + # Redis hiccup — continue polling rather than crashing out + pass + + # Exhausted wait — fall back to local health check verbose_proxy_logger.warning( - "Pod %s falling back to local health check (no cache available)", + "Pod %s falling back to local health check after waiting %ds (no cache available)", self.pod_id, + elapsed, ) return await perform_health_check( diff --git a/litellm/proxy/health_endpoints/_health_endpoints.py b/litellm/proxy/health_endpoints/_health_endpoints.py index 096e23e673d..2c857c0fde8 100644 --- a/litellm/proxy/health_endpoints/_health_endpoints.py +++ b/litellm/proxy/health_endpoints/_health_endpoints.py @@ -1742,29 +1742,54 @@ async def test_model_connection( # Look up model configuration from router if model name is provided # This gets the litellm_params from proxy config (with resolved env vars) config_litellm_params: dict = {} - if model_name and llm_router is not None: + if llm_router is not None: + # Prefer disambiguation by deployment id (`model_info.id`) when + # the caller supplies it. This is required when multiple + # deployments share a `model_name` (e.g. wildcard `openai/*` + # with multiple `api_base` values for failover): the UI's + # "Test Connection" button targets a specific row, and that + # row's id is the only thing that uniquely identifies which + # deployment to probe. Without this, all duplicates collapse + # onto `deployments[0]`. + request_model_info = model_info or {} + request_model_id = request_model_info.get("id") try: - # First try to find by proxy model_name (e.g., "gpt-4o") - deployments = llm_router.get_model_list(model_name=model_name) - - # If not found, try to find by litellm model name (e.g., "azure/gpt-4o") - if not deployments or len(deployments) == 0: - all_deployments = llm_router.get_model_list(model_name=None) - if all_deployments: - for deployment in all_deployments: - if ( - deployment.get("litellm_params", {}).get("model") - == model_name - ): - deployments = [deployment] - break - - if deployments and len(deployments) > 0: - # Use the first deployment's litellm_params as base config - # These already have resolved environment variables from proxy config - config_litellm_params = dict( - deployments[0].get("litellm_params", {}) + deployment_by_id = None + if request_model_id: + deployment_by_id = llm_router.get_deployment( + model_id=request_model_id ) + + if deployment_by_id is not None: + config_litellm_params = deployment_by_id.litellm_params.model_dump( + exclude_none=True + ) + elif model_name: + # Fall back to model_name lookup for callers (e.g. the + # "Add Model" wizard, or curl) that don't supply an id. + # First try to find by proxy model_name (e.g., "gpt-4o") + deployments = llm_router.get_model_list(model_name=model_name) + + # If not found, try to find by litellm model name + # (e.g., "azure/gpt-4o") + if not deployments or len(deployments) == 0: + all_deployments = llm_router.get_model_list(model_name=None) + if all_deployments: + for deployment in all_deployments: + if ( + deployment.get("litellm_params", {}).get("model") + == model_name + ): + deployments = [deployment] + break + + if deployments and len(deployments) > 0: + # Use the first deployment's litellm_params as base + # config. These already have resolved environment + # variables from proxy config. + config_litellm_params = dict( + deployments[0].get("litellm_params", {}) + ) except Exception as e: verbose_proxy_logger.debug( f"Could not find model {model_name} in router: {e}. " diff --git a/litellm/proxy/litellm_pre_call_utils.py b/litellm/proxy/litellm_pre_call_utils.py index a63613c5836..7cd099a7296 100644 --- a/litellm/proxy/litellm_pre_call_utils.py +++ b/litellm/proxy/litellm_pre_call_utils.py @@ -1,5 +1,6 @@ import asyncio import copy +import json import re import time from collections import OrderedDict @@ -24,6 +25,9 @@ from litellm.proxy._types import ( TeamCallbackMetadata, UserAPIKeyAuth, ) +from litellm.proxy.common_utils.callback_utils import ( + get_metadata_variable_name_from_kwargs, +) from litellm.proxy.common_utils.http_parsing_utils import _safe_get_request_headers # Cache special headers as a frozenset for O(1) lookup performance @@ -794,8 +798,17 @@ class LiteLLMProxyRequestSetup: ) ) for k, v in litellm_logging_metadata_headers.items(): - if v is not None: + if v is None: + continue + # httpx requires header values to be str or bytes; coerce numbers/bools + # to str and JSON-encode dict/list (e.g. user_api_key_spend is float, + # user_api_key_auth_metadata is dict). See #27458. + if isinstance(v, (dict, list)): + returned_headers["x-litellm-{}".format(k)] = json.dumps(v) + elif isinstance(v, (str, bytes)): returned_headers["x-litellm-{}".format(k)] = v + else: + returned_headers["x-litellm-{}".format(k)] = str(v) return returned_headers @@ -1177,6 +1190,71 @@ class LiteLLMProxyRequestSetup: return tags + @staticmethod + def apply_client_tag_policy_pre_auth( + request: Request, + request_data: dict, + user_api_key_dict: UserAPIKeyAuth, + ) -> None: + """ + Merge ``x-litellm-tags`` header tags into ``request_data`` BEFORE + auth budget gates run, so ``_tag_max_budget_check`` (which only + inspects ``request_data``) sees them. Without this, header-tagged + requests silently bypass per-tag budget enforcement. + + Why: ``add_litellm_data_to_request`` runs the equivalent merge + post-auth, after ``_tag_max_budget_check`` has already executed. + Header-supplied tags merged there are invisible to that check. + Running the merge here closes that gap; the post-auth merge in + ``add_litellm_data_to_request`` remains as defense-in-depth. + + How to apply: invoked from the auth chain just before + ``common_checks``. Mutates ``request_data`` in place; idempotent + when followed by ``add_litellm_data_to_request``. + """ + # No allow_client_tags opt-in: caller-supplied tags always flow + # into metadata.tags (see add_litellm_data_to_request). The pre-auth + # merge mirrors that so _tag_max_budget_check sees the same tags. + headers = _safe_get_request_headers(request=request) + raw_header_tags = headers.get("x-litellm-tags") + if not raw_header_tags: + return + + if isinstance(raw_header_tags, str): + header_tags: List[str] = [ + t.strip() for t in raw_header_tags.split(",") if t.strip() + ] + elif isinstance(raw_header_tags, list): + header_tags = [t for t in raw_header_tags if isinstance(t, str) and t] + else: + return + + if not header_tags: + return + + # Match the metadata key that get_tags_from_request_body will read + # from (litellm_metadata vs metadata) so the merged tags are visible + # to _tag_max_budget_check. + _metadata_variable_name = get_metadata_variable_name_from_kwargs(request_data) + metadata = request_data.get(_metadata_variable_name) + # metadata can arrive as a JSON string (multipart/form-data, extra_body). + # Parse it so existing tags survive the merge — overwriting the string + # with {} would let a caller bypass _tag_max_budget_check on an + # over-budget body tag by also sending a within-budget header tag. + if isinstance(metadata, str): + parsed = safe_json_loads(metadata) + metadata = parsed if isinstance(parsed, dict) else {} + request_data[_metadata_variable_name] = metadata + elif not isinstance(metadata, dict): + metadata = {} + request_data[_metadata_variable_name] = metadata + + existing_tags = metadata.get("tags") + metadata["tags"] = LiteLLMProxyRequestSetup._merge_tags( + request_tags=existing_tags if isinstance(existing_tags, list) else None, + tags_to_add=header_tags, + ) + async def add_litellm_data_to_request( # noqa: PLR0915 data: dict, @@ -1427,46 +1505,8 @@ async def add_litellm_data_to_request( # noqa: PLR0915 if not _key_or_team_allows_client_pricing_override(user_api_key_dict): _strip_client_pricing_overrides(data) - # Strip caller-supplied routing/budget tags unless the admin has opted - # this key or team in via metadata.allow_client_tags=True. Tags drive - # tag-based routing and tag budget attribution — accepting them from - # untrusted callers lets an attacker reach restricted deployments or - # misattribute spend to a victim team's tag. - _admin_allow_client_tags = False - for _admin_meta in ( - user_api_key_dict.metadata, - user_api_key_dict.team_metadata, - ): - if ( - isinstance(_admin_meta, dict) - and _admin_meta.get("allow_client_tags") is True - ): - _admin_allow_client_tags = True - break - if not _admin_allow_client_tags: - _stripped_from: List[str] = [] - for _meta_key in ("metadata", "litellm_metadata"): - _user_meta = data.get(_meta_key) - if isinstance(_user_meta, dict) and "tags" in _user_meta: - _user_meta.pop("tags", None) - _stripped_from.append(_meta_key) - # Also strip the root-level `tags` field. get_tags_from_request_body - # reads request_body["tags"] directly and feeds it to the policy - # engine, so leaving it in place here would let the strip-in-metadata - # above be trivially bypassed by moving the tags to the body root. - if "tags" in data: - data.pop("tags", None) - _stripped_from.append("tags (root)") - if _stripped_from: - verbose_proxy_logger.warning( - "Stripped caller-supplied tags from %s: this key/team does " - "not have `allow_client_tags: true` in its metadata. Set it " - "to opt into client-supplied routing/budget tags.", - ", ".join(_stripped_from), - ) - # Fill in the proxy_server_request body snapshot now that metadata has - # been parsed and stripped. Consumers (standard_logging_payload, lago, + # been parsed. Consumers (standard_logging_payload, lago, # spend_tracking_utils, streaming_iterator) read `body` to audit the # request; taking the snapshot here ensures they see cleaned metadata. # @@ -1476,19 +1516,21 @@ async def add_litellm_data_to_request( # noqa: PLR0915 _body_snapshot = {k: v for k, v in data.items() if k != "secret_fields"} data["proxy_server_request"]["body"] = _body_snapshot - # Snapshot the (now-cleaned) requester-supplied metadata for downstream - # consumers. Taking the deepcopy AFTER the strip prevents attacker- - # injected admin slots (user_api_key_*, tags without opt-in, - # _pipeline_managed_guardrails) from surviving in requester_metadata - # where guardrails and audit paths may read from it. + # Snapshot the requester-supplied metadata for downstream consumers. + # Taking the deepcopy after the user_api_key_* / _pipeline_managed_guardrails + # strip above prevents those proxy-internal slots — if a caller forged + # them — from leaking into requester_metadata where guardrails and audit + # paths may read from it. if "metadata" in data and isinstance(data["metadata"], dict): data[_metadata_variable_name]["requester_metadata"] = copy.deepcopy( data["metadata"] ) - # Now merge litellm_metadata into the metadata variable (preserving existing - # values) — runs AFTER the strip so attacker injections in litellm_metadata - # cannot cross-contaminate the admin-authoritative metadata dict. + # Merge litellm_metadata into the metadata variable (preserving existing + # values). Runs after the user_api_key_* / _pipeline_managed_guardrails + # strip above so those proxy-internal slots — if a caller forged them + # into litellm_metadata — cannot cross-contaminate the admin-authoritative + # metadata dict. if "litellm_metadata" in data and isinstance(data["litellm_metadata"], dict): for key, value in data["litellm_metadata"].items(): if key not in data[_metadata_variable_name]: @@ -1655,27 +1697,19 @@ async def add_litellm_data_to_request( # noqa: PLR0915 user_agent = request.headers["user-agent"] data[_metadata_variable_name]["user_agent"] = user_agent - # Check if using tag based routing. The helper reads caller-controlled - # sources (x-litellm-tags header, data["tags"] root-level), so its result - # is still gated by the same allow_client_tags flag that gated the - # body-metadata tag strip above. Otherwise the strip is trivially - # bypassed by sending tags via header or at the root of the body. + # Merge caller-supplied tags (x-litellm-tags header, data["tags"] root-level) + # into request metadata for tag-based routing and spend attribution. tags = LiteLLMProxyRequestSetup.add_request_tag_to_metadata( llm_router=llm_router, headers=_headers, data=data, ) - if tags is not None and _admin_allow_client_tags: + if tags is not None: data[_metadata_variable_name]["tags"] = LiteLLMProxyRequestSetup._merge_tags( request_tags=data[_metadata_variable_name].get("tags"), tags_to_add=tags, ) - elif tags is not None: - verbose_proxy_logger.warning( - "Ignored caller-supplied tags from header/root body: this " - "key/team does not have `allow_client_tags: true` in its metadata." - ) # Team Callbacks controls callback_settings_obj = _get_dynamic_logging_metadata( @@ -1731,6 +1765,7 @@ async def add_litellm_data_to_request( # noqa: PLR0915 data=data, user_api_key_dict=user_api_key_dict, pre_alias_model_name=_pre_alias_model, + llm_router=llm_router, ) ## ENFORCED PARAMS CHECK @@ -1864,6 +1899,7 @@ def _apply_credential_overrides_from_model_config( data: dict, user_api_key_dict: UserAPIKeyAuth, pre_alias_model_name: Optional[str] = None, + llm_router: Optional[Router] = None, ) -> None: """ Walk the model_config precedence chain in team/project metadata. @@ -1899,10 +1935,19 @@ def _apply_credential_overrides_from_model_config( if not project_model_config and not team_model_config: return - # Extract provider hint from model name (e.g. "azure/gpt-4" -> "azure") + # Extract provider hint from model name (e.g. "azure/gpt-4" -> "azure"). + # When the user-facing name has no provider prefix, fall back to the + # deployment's litellm_params so multi-provider defaultconfig entries + # don't silently match the first dict key (#27516). provider: Optional[str] = None if "/" in model_name: provider = model_name.split("/", 1)[0] + elif llm_router is not None: + provider = _resolve_provider_from_deployment( + llm_router=llm_router, + model_name=model_name, + pre_alias_model_name=pre_alias_model_name, + ) credential_name = _resolve_credential_from_model_config( model_name=model_name, @@ -1938,6 +1983,48 @@ def _apply_credential_overrides_from_model_config( ) +def _resolve_provider_from_deployment( + llm_router: Router, + model_name: str, + pre_alias_model_name: Optional[str] = None, +) -> Optional[str]: + """ + Resolve a provider hint from the deployment's litellm_params when the + user-facing model name has no provider prefix. + + Tries the post-alias name first (the resolved model group), then the + pre-alias name. Returns None if no deployment is found or the deployment + has no usable provider info. + """ + candidates = [model_name] + if pre_alias_model_name and pre_alias_model_name != model_name: + candidates.append(pre_alias_model_name) + + for name in candidates: + try: + deployment = llm_router.get_deployment_by_model_group_name( + model_group_name=name + ) + except Exception: + deployment = None + if deployment is None: + continue + + litellm_params = getattr(deployment, "litellm_params", None) + if litellm_params is None: + continue + + custom_provider = getattr(litellm_params, "custom_llm_provider", None) + if custom_provider: + return custom_provider + + deployment_model = getattr(litellm_params, "model", "") or "" + if "/" in deployment_model: + return deployment_model.split("/", 1)[0] + + return None + + def _resolve_credential_from_model_config( model_name: str, project_model_config: Optional[dict], diff --git a/litellm/proxy/management_endpoints/key_management_endpoints.py b/litellm/proxy/management_endpoints/key_management_endpoints.py index b112af1fe20..30655746cbb 100644 --- a/litellm/proxy/management_endpoints/key_management_endpoints.py +++ b/litellm/proxy/management_endpoints/key_management_endpoints.py @@ -88,8 +88,8 @@ from litellm.router import Router from litellm.secret_managers.main import get_secret from litellm.types.proxy.management_endpoints.key_management_endpoints import ( BulkUpdateKeyRequest, - BulkUpdateKeyRequestItem, BulkUpdateKeyResponse, + BulkUpdateTeamKeysRequest, FailedKeyUpdate, SuccessfulKeyUpdate, ) @@ -463,6 +463,52 @@ def handle_key_type(data: GenerateKeyRequest, data_json: dict) -> dict: _NON_ADMIN_SAFE_ALLOWED_ROUTES_PRESETS = frozenset({"llm_api_routes", "info_routes"}) +def _validate_caller_can_change_key_ownership( + data: Optional[BaseModel], + existing_key_row: Any, + user_api_key_dict: UserAPIKeyAuth, +) -> None: + """ + Non-admin callers must not rebind a key's ``user_id`` to a different + user. The ``user_id`` on a verification token is what + ``_return_user_api_key_auth_obj`` resolves against ``litellm_usertable`` + to derive the request's role; a non-admin rebinding their own key's + ``user_id`` to a ``PROXY_ADMIN`` row promotes themselves. + + ``/key/update`` already enforces this inline; ``/key/regenerate`` did + not. Sharing the check keeps both endpoints — and any future + regenerate-style endpoint — consistent. + """ + if user_api_key_dict.user_role == LitellmUserRoles.PROXY_ADMIN.value: + return + if data is None: + return + # Distinguish "user_id omitted" from "user_id explicitly set to None". + # Both leave ``getattr(data, 'user_id', None)`` at None, but only the + # explicit-null variant survives ``model_dump(exclude_unset=True)`` in + # ``prepare_key_update_data`` and writes NULL to the token row — + # detaching the key from its user and bypassing the user-row + # role check on subsequent requests. + fields_set = getattr(data, "model_fields_set", None) or set() + if "user_id" not in fields_set: + return + incoming_user_id = getattr(data, "user_id", None) + if incoming_user_id is None or incoming_user_id == "": + raise HTTPException( + status_code=403, + detail="Non-admin users cannot remove the user_id from a key.", + ) + existing_user_id = getattr(existing_key_row, "user_id", None) + if incoming_user_id != existing_user_id: + raise HTTPException( + status_code=403, + detail=( + f"Non-admin caller is not allowed to rebind the key from " + f"user={existing_user_id} to user={incoming_user_id}" + ), + ) + + def _check_allowed_routes_caller_permission( allowed_routes: Optional[list], user_api_key_dict: UserAPIKeyAuth, @@ -1881,7 +1927,7 @@ async def _get_and_validate_existing_key( async def _process_single_key_update( - key_update_item: BulkUpdateKeyRequestItem, + update_key_request: UpdateKeyRequest, user_api_key_dict: UserAPIKeyAuth, litellm_changed_by: Optional[str], prisma_client: Optional[PrismaClient], @@ -1889,6 +1935,7 @@ async def _process_single_key_update( proxy_logging_obj: Any, llm_router: Optional[Router], user_custom_key_update: Optional[Callable] = None, + existing_key_row: Optional[LiteLLM_VerificationToken] = None, ) -> Dict[str, Any]: """ Process a single key update with all validations and checks. @@ -1897,13 +1944,14 @@ async def _process_single_key_update( including validation, permission checks, team checks, and database updates. Args: - key_update_item: The key update request item + update_key_request: Fully-constructed UpdateKeyRequest for the target key user_api_key_dict: The authenticated user's API key info litellm_changed_by: Optional header for tracking who made the change prisma_client: Prisma client instance user_api_key_cache: User API key cache proxy_logging_obj: Proxy logging object llm_router: LLM router instance + existing_key_row: Optional pre-fetched key row to avoid redundant lookups Returns: Dict containing the updated key information @@ -1912,13 +1960,14 @@ async def _process_single_key_update( HTTPException: For various validation and permission errors """ # Validate max_budget - _validate_max_budget(key_update_item.max_budget) + _validate_max_budget(update_key_request.max_budget) # Get and validate existing key - existing_key_row = await _get_and_validate_existing_key( - token=key_update_item.key, - prisma_client=prisma_client, - ) + if existing_key_row is None: + existing_key_row = await _get_and_validate_existing_key( + token=update_key_request.key, + prisma_client=prisma_client, + ) # Check team member permissions if prisma_client is not None: @@ -1930,15 +1979,6 @@ async def _process_single_key_update( user_api_key_cache=user_api_key_cache, ) - # Create UpdateKeyRequest from BulkUpdateKeyRequestItem - update_key_request = UpdateKeyRequest( - key=key_update_item.key, - budget_id=key_update_item.budget_id, - max_budget=key_update_item.max_budget, - team_id=key_update_item.team_id, - tags=key_update_item.tags, - ) - # Custom key update hook if user_custom_key_update is not None: if inspect.iscoroutinefunction(user_custom_key_update): @@ -2003,12 +2043,12 @@ async def _process_single_key_update( detail={"error": "Database not connected"}, ) - _data = {**non_default_values, "token": key_update_item.key} - response = await prisma_client.update_data(token=key_update_item.key, data=_data) + _data = {**non_default_values, "token": update_key_request.key} + response = await prisma_client.update_data(token=update_key_request.key, data=_data) # Delete cache await _delete_cache_key_object( - hashed_token=_hash_token_if_needed(key_update_item.key), + hashed_token=_hash_token_if_needed(update_key_request.key), user_api_key_cache=user_api_key_cache, proxy_logging_obj=proxy_logging_obj, ) @@ -2094,23 +2134,11 @@ async def _validate_update_key_data( user_api_key_dict=user_api_key_dict, ) - # Prevent non-admin from removing user_id (setting to empty string) (LIT-1884) - if data.user_id is not None and data.user_id == "" and not _is_proxy_admin: - raise HTTPException( - status_code=403, - detail="Non-admin users cannot remove the user_id from a key.", - ) - - # sanity check - prevent non-proxy admin user from updating key to belong to a different user - if ( - data.user_id is not None - and data.user_id != existing_key_row.user_id - and not _is_proxy_admin - ): - raise HTTPException( - status_code=403, - detail=f"User={data.user_id} is not allowed to update key={data.key} to belong to user={existing_key_row.user_id}", - ) + _validate_caller_can_change_key_ownership( + data=data, + existing_key_row=existing_key_row, + user_api_key_dict=user_api_key_dict, + ) common_key_access_checks( user_api_key_dict=user_api_key_dict, @@ -2598,9 +2626,15 @@ async def bulk_update_keys( for key_update_item in data.keys: try: - # Process single key update using reusable function + update_key_request = UpdateKeyRequest( + key=key_update_item.key, + budget_id=key_update_item.budget_id, + max_budget=key_update_item.max_budget, + team_id=key_update_item.team_id, + tags=key_update_item.tags, + ) updated_key_info = await _process_single_key_update( - key_update_item=key_update_item, + update_key_request=update_key_request, user_api_key_dict=user_api_key_dict, litellm_changed_by=litellm_changed_by, prisma_client=prisma_client, @@ -2665,6 +2699,223 @@ async def bulk_update_keys( ) +def _build_failed_team_key_update( + token: str, + exception: Exception, + existing_key_row: Optional[LiteLLM_VerificationToken], +) -> FailedKeyUpdate: + """Normalize an exception from the per-key update loop into a FailedKeyUpdate.""" + if isinstance(exception, HTTPException): + detail = exception.detail + if isinstance(detail, dict): + error_message = detail.get("error", str(exception)) + else: + error_message = str(detail) + elif isinstance(exception, ProxyException): + error_message = exception.message + else: + error_message = str(exception) + + key_info: Optional[Dict[str, Any]] = None + if existing_key_row is not None: + if hasattr(existing_key_row, "model_dump"): + key_info = existing_key_row.model_dump() + elif hasattr(existing_key_row, "dict"): + key_info = existing_key_row.dict() + if key_info: + key_info.pop("token", None) + + return FailedKeyUpdate(key=token, key_info=key_info, failed_reason=error_message) + + +@router.post( + "/team/key/bulk_update", + tags=["key management"], + dependencies=[Depends(user_api_key_auth)], + response_model=BulkUpdateKeyResponse, +) +@management_endpoint_wrapper +async def bulk_update_team_keys( + data: BulkUpdateTeamKeysRequest, + user_api_key_dict: UserAPIKeyAuth = Depends(user_api_key_auth), + litellm_changed_by: Optional[str] = Header( + None, + description="The litellm-changed-by header enables tracking of actions performed by authorized users on behalf of other users, providing an audit trail for accountability", + ), +): + """ + Apply one update payload to many keys inside a single team. + + Pass `team_id` plus either `key_ids` or `all_keys_in_team=True`. The + `update_fields` payload is broadcast to every selected key. Per-key + failures are returned in `failed_updates` rather than aborting the batch. + + Callable by proxy admins, or by team admins with `KEY_UPDATE` permission. + """ + from litellm.proxy.proxy_server import ( + llm_router, + prisma_client, + proxy_logging_obj, + user_api_key_cache, + user_custom_key_update, + ) + + if prisma_client is None: + raise HTTPException( + status_code=500, + detail={"error": "Database not connected"}, + ) + + if not data.team_id: + raise HTTPException( + status_code=400, + detail={"error": "team_id is required"}, + ) + + MAX_BATCH_SIZE = 500 + if data.key_ids is not None and len(data.key_ids) > MAX_BATCH_SIZE: + raise HTTPException( + status_code=400, + detail={ + "error": f"Maximum {MAX_BATCH_SIZE} keys can be updated at once. Found {len(data.key_ids)} key_ids." + }, + ) + + if data.all_keys_in_team: + # "all" excludes blocked/expired — bulk refresh shouldn't revive a key an admin disabled. + # `blocked` is Boolean? with no default; `/key/generate` writes NULL. Prisma's `NOT` + # excludes NULLs, so explicitly OR `false` with `null` to include them. + now = datetime.now(timezone.utc) + existing_keys = await prisma_client.db.litellm_verificationtoken.find_many( + where={ + "team_id": data.team_id, + "AND": [ + {"OR": [{"blocked": False}, {"blocked": None}]}, + {"OR": [{"expires": None}, {"expires": {"gt": now}}]}, + ], + }, + order={"token": "asc"}, + take=MAX_BATCH_SIZE + 1, + ) + if len(existing_keys) > MAX_BATCH_SIZE: + raise HTTPException( + status_code=400, + detail={ + "error": f"Team {data.team_id} has more than {MAX_BATCH_SIZE} keys. Use `key_ids` to update in batches of {MAX_BATCH_SIZE}." + }, + ) + requested_tokens = [row.token for row in existing_keys] + else: + if data.key_ids is None or len(data.key_ids) == 0: + raise HTTPException( + status_code=400, + detail={ + "error": "key_ids must be provided when all_keys_in_team is False" + }, + ) + # Dedupe by hashed form — duplicates collapse to one update. + requested_tokens = [] + hashed_key_ids = [] + seen_hashes = set() + for k in data.key_ids: + h = _hash_token_if_needed(k) + if h in seen_hashes: + continue + seen_hashes.add(h) + requested_tokens.append(k) + hashed_key_ids.append(h) + existing_keys = await prisma_client.db.litellm_verificationtoken.find_many( + where={"team_id": data.team_id, "token": {"in": hashed_key_ids}} + ) + + # Anchor membership check on data.team_id (not existing_keys[0]); empty result must still gate non-admins. + if user_api_key_dict.user_role != LitellmUserRoles.PROXY_ADMIN.value: + auth_anchor = ( + existing_keys[0] + if existing_keys + else LiteLLM_VerificationToken( + token="__team_scope_auth_check__", + team_id=data.team_id, + models=[], + ) + ) + await TeamMemberPermissionChecks.can_team_member_execute_key_management_endpoint( + user_api_key_dict=user_api_key_dict, + route=KeyManagementRoutes.KEY_UPDATE, + prisma_client=prisma_client, + existing_key_row=auth_anchor, + user_api_key_cache=user_api_key_cache, + ) + + # Block metadata.allowed_passthrough_routes for non-admins — the runtime + # route checker reads it from key/team metadata to grant passthrough. + _check_passthrough_routes_caller_permission( + data=data.update_fields, user_api_key_dict=user_api_key_dict + ) + + if not requested_tokens: + raise HTTPException( + status_code=404, + detail={"error": f"No keys found for team {data.team_id}"}, + ) + + existing_by_token = {row.token: row for row in existing_keys} + update_field_dict = data.update_fields.model_dump(exclude_unset=True) + + successful_updates: List[SuccessfulKeyUpdate] = [] + failed_updates: List[FailedKeyUpdate] = [] + + for token in requested_tokens: + db_token = _hash_token_if_needed(token) + try: + if db_token not in existing_by_token: + raise HTTPException( + status_code=404, + detail={"error": f"Key not found in team {data.team_id}"}, + ) + + # team_id from validated scope, never user payload — drives _check_team_key_limits. + update_key_request = UpdateKeyRequest( + key=token, + team_id=data.team_id, + **update_field_dict, + ) + updated_key_info = await _process_single_key_update( + update_key_request=update_key_request, + user_api_key_dict=user_api_key_dict, + litellm_changed_by=litellm_changed_by, + prisma_client=prisma_client, + user_api_key_cache=user_api_key_cache, + proxy_logging_obj=proxy_logging_obj, + llm_router=llm_router, + user_custom_key_update=user_custom_key_update, + existing_key_row=existing_by_token[db_token], + ) + + successful_updates.append( + SuccessfulKeyUpdate(key=token, key_info=updated_key_info) + ) + + except Exception as e: + # Log the hashed prefix — `token` may be a raw sk-... and ERROR logs persist. + verbose_proxy_logger.exception( + f"Failed to update key {db_token[:12]}... in team {data.team_id}: {e}" + ) + failed_updates.append( + _build_failed_team_key_update( + token=token, + exception=e, + existing_key_row=existing_by_token.get(db_token), + ) + ) + + return BulkUpdateKeyResponse( + total_requested=len(requested_tokens), + successful_updates=successful_updates, + failed_updates=failed_updates, + ) + + async def validate_key_team_change( key: LiteLLM_VerificationToken, team: LiteLLM_TeamTable, @@ -3935,6 +4186,13 @@ async def _execute_virtual_key_regeneration( """Generate new token, update DB, invalidate cache, and return response.""" from litellm.proxy.proxy_server import hash_token + # Mirror the /key/update ownership rebind guard. See helper docstring. + _validate_caller_can_change_key_ownership( + data=data, + existing_key_row=key_in_db, + user_api_key_dict=user_api_key_dict, + ) + # Apply the same membership rule used on /key/update: when the caller # asks to point the regenerated key at a different organization_id, # require they are a member of (or proxy admin over) the target org. @@ -4111,7 +4369,17 @@ async def regenerate_key_fn( # noqa: PLR0915 allow_safe_presets=True, ) - is_master_key_regeneration = data and data.new_master_key is not None + # Premium-gate bypass for master-key rotation must verify the + # caller actually holds the master key, not just that the request + # body has a ``new_master_key`` field. A presence-only check let + # any non-premium caller skip the enterprise gate by sending any + # value in that field. + regenerate_target_key = data.key if data and data.key else key + is_master_key_regeneration = ( + data is not None + and data.new_master_key is not None + and _is_master_key(api_key=regenerate_target_key, _master_key=master_key) + ) if ( premium_user is not True and not is_master_key_regeneration diff --git a/litellm/proxy/management_endpoints/mcp_management_endpoints.py b/litellm/proxy/management_endpoints/mcp_management_endpoints.py index 7bda0f87ccd..f2e64fdde83 100644 --- a/litellm/proxy/management_endpoints/mcp_management_endpoints.py +++ b/litellm/proxy/management_endpoints/mcp_management_endpoints.py @@ -142,6 +142,7 @@ if MCP_AVAILABLE: MCPOAuthUserCredentialRequest, MCPOAuthUserCredentialStatus, MCPSubmissionsSummary, + MCPTransport, MCPUserCredentialListItem, MCPUserCredentialRequest, MCPUserCredentialResponse, @@ -1070,6 +1071,24 @@ if MCP_AVAILABLE: }, ) + # stdio servers spawn a local subprocess on the proxy host with the + # configured command + args, so accepting them from non-admin callers + # would let a team member propose a server config that an admin could + # rubber-stamp into local code execution. Restrict stdio submission to + # the admin POST /v1/mcp/server path or to config.yaml. + if payload.transport == MCPTransport.stdio: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail={ + "error": ( + "stdio MCP servers cannot be submitted via the user " + "registration workflow. Ask a proxy admin to add this " + "server via POST /v1/mcp/server or to declare it in " + "config.yaml." + ) + }, + ) + prisma_client = get_prisma_client_or_throw( "Database not connected. Connect a database to your proxy" ) diff --git a/litellm/proxy/management_endpoints/tag_management_endpoints.py b/litellm/proxy/management_endpoints/tag_management_endpoints.py index 0e60820aab1..49d9b67a28a 100644 --- a/litellm/proxy/management_endpoints/tag_management_endpoints.py +++ b/litellm/proxy/management_endpoints/tag_management_endpoints.py @@ -12,12 +12,13 @@ All /tag management endpoints import asyncio import json -from typing import TYPE_CHECKING, Dict, List, Optional +from datetime import datetime +from typing import TYPE_CHECKING, Any, Dict, List, Optional, Union -from fastapi import APIRouter, Depends, HTTPException +from fastapi import APIRouter, Depends, HTTPException, Query from litellm._logging import verbose_proxy_logger -from litellm.proxy._types import UserAPIKeyAuth +from litellm.proxy._types import UserAPIKeyAuth, user_api_key_has_admin_view from litellm.proxy.auth.user_api_key_auth import user_api_key_auth from litellm.proxy.management_endpoints.common_daily_activity import ( SpendAnalyticsPaginatedResponse, @@ -39,6 +40,72 @@ if TYPE_CHECKING: router = APIRouter() +async def _get_internal_user_api_keys( + prisma_client, + user_api_key_dict: UserAPIKeyAuth, +) -> List[str]: + user_role = user_api_key_dict.user_role + if user_role is None or not user_role.is_internal_user_role: + return [] + + user_api_keys = set() + if user_api_key_dict.api_key: + user_api_keys.add(user_api_key_dict.api_key) + + user_id = user_api_key_dict.user_id + if user_id is None: + return sorted(user_api_keys) + + key_records = await prisma_client.db.litellm_verificationtoken.find_many( + where={"user_id": user_id}, + select={"token": True}, + ) + user_api_keys.update( + key_record.token + for key_record in key_records + if getattr(key_record, "token", None) + ) + + return sorted(user_api_keys) + + +async def _get_tag_list_scope( + prisma_client, + user_api_key_dict: UserAPIKeyAuth, +) -> Optional[Dict[str, dict]]: + user_role = user_api_key_dict.user_role + if user_api_key_has_admin_view(user_api_key_dict) or ( + user_role is None or not user_role.is_internal_user_role + ): + return None + + scoped_api_keys = await _get_internal_user_api_keys( + prisma_client=prisma_client, + user_api_key_dict=user_api_key_dict, + ) + return {"api_key": {"in": scoped_api_keys}} + + +async def _get_tag_daily_activity_api_key_filter( + prisma_client, + user_api_key_dict: UserAPIKeyAuth, + requested_api_key: Optional[str], +) -> Optional[Union[str, List[str]]]: + user_role = user_api_key_dict.user_role + if user_api_key_has_admin_view(user_api_key_dict) or ( + user_role is None or not user_role.is_internal_user_role + ): + return requested_api_key + + scoped_api_keys = await _get_internal_user_api_keys( + prisma_client=prisma_client, + user_api_key_dict=user_api_key_dict, + ) + if requested_api_key is not None: + return requested_api_key if requested_api_key in scoped_api_keys else [] + return scoped_api_keys + + async def _get_model_names(prisma_client, model_ids: list) -> Dict[str, str]: """Helper function to get model names from model IDs""" try: @@ -395,6 +462,32 @@ async def info_tag( raise HTTPException(status_code=500, detail=str(e)) +def _validate_tag_list_date_range( + start_date: Optional[str], end_date: Optional[str] +) -> None: + """Require both dates together, and enforce YYYY-MM-DD format with start <= end.""" + if (start_date is None) != (end_date is None): + raise HTTPException( + status_code=400, + detail="start_date and end_date must be provided together", + ) + if start_date is None: + return + try: + start = datetime.strptime(start_date, "%Y-%m-%d") + end = datetime.strptime(end_date, "%Y-%m-%d") # type: ignore[arg-type] + except ValueError as e: + raise HTTPException( + status_code=400, + detail=f"Invalid date format, expected YYYY-MM-DD: {e}", + ) + if start > end: + raise HTTPException( + status_code=400, + detail="start_date must be on or before end_date", + ) + + @router.get( "/tag/list", tags=["tag management"], @@ -402,6 +495,18 @@ async def info_tag( ) async def list_tags( user_api_key_dict: UserAPIKeyAuth = Depends(user_api_key_auth), + start_date: Optional[str] = Query( + None, + description=( + "Optional start date (YYYY-MM-DD). When provided together with " + "end_date, dynamic tags are limited to those active in the window. " + "Stored tags are always returned." + ), + ), + end_date: Optional[str] = Query( + None, + description="Optional end date (YYYY-MM-DD). Must be given with start_date.", + ), ): """ List all available tags with their budget information. @@ -411,10 +516,44 @@ async def list_tags( if prisma_client is None: raise HTTPException(status_code=500, detail="Database not connected") + _validate_tag_list_date_range(start_date, end_date) + try: + tag_scope = await _get_tag_list_scope( + prisma_client=prisma_client, + user_api_key_dict=user_api_key_dict, + ) + + ## QUERY DYNAMIC TAGS ## + # Use group_by instead of find_many(distinct=["tag"]). + # Prisma's distinct fetches all columns for all rows and deduplicates + # in application code, which is extremely slow on large tables. + # See: https://www.prisma.io/docs/orm/prisma-client/queries/aggregation-grouping-summarizing#distinct-under-the-hood + dynamic_tag_where: Dict[str, Any] = {"tag": {"not": None}} + if tag_scope: + dynamic_tag_where = {**dynamic_tag_where, **tag_scope} + if start_date is not None and end_date is not None: + dynamic_tag_where["date"] = {"gte": start_date, "lte": end_date} + + dynamic_tag_rows = await prisma_client.db.litellm_dailytagspend.group_by( + by=["tag"], + where=dynamic_tag_where, + min={"created_at": True}, + max={"updated_at": True}, + ) + + used_tag_names = [row["tag"] for row in dynamic_tag_rows if row["tag"]] + if tag_scope is not None and not used_tag_names: + return [] + + stored_tag_where = ( + {"tag_name": {"in": used_tag_names}} if tag_scope is not None else None + ) + ## QUERY STORED TAGS ## tag_records = await prisma_client.db.litellm_tagtable.find_many( - include={"litellm_budget_table": True} + where=stored_tag_where, + include={"litellm_budget_table": True}, ) stored_tag_names = set() @@ -448,18 +587,6 @@ async def list_tags( list_of_tags.append(tag_dict) - ## QUERY DYNAMIC TAGS ## - # Use group_by instead of find_many(distinct=["tag"]). - # Prisma's distinct fetches all columns for all rows and deduplicates - # in application code, which is extremely slow on large tables. - # See: https://www.prisma.io/docs/orm/prisma-client/queries/aggregation-grouping-summarizing#distinct-under-the-hood - dynamic_tag_rows = await prisma_client.db.litellm_dailytagspend.group_by( - by=["tag"], - where={"tag": {"not": None}}, - min={"created_at": True}, - max={"updated_at": True}, - ) - dynamic_tag_config = [ { "name": row["tag"], @@ -527,6 +654,7 @@ async def get_tag_daily_activity( api_key: Optional[str] = None, page: int = 1, page_size: int = 10, + user_api_key_dict: UserAPIKeyAuth = Depends(user_api_key_auth), ): """ Get daily activity for specific tags or all tags. @@ -545,8 +673,18 @@ async def get_tag_daily_activity( """ from litellm.proxy.proxy_server import prisma_client + if prisma_client is None: + raise HTTPException(status_code=500, detail="Database not connected") + # Convert comma-separated tags string to list if provided tag_list = tags.split(",") if tags else None + scoped_api_key_filter = await _get_tag_daily_activity_api_key_filter( + prisma_client=prisma_client, + user_api_key_dict=user_api_key_dict, + requested_api_key=api_key, + ) + if scoped_api_key_filter == []: + return SpendAnalyticsPaginatedResponse(results=[]) return await get_daily_activity( prisma_client=prisma_client, @@ -557,7 +695,7 @@ async def get_tag_daily_activity( start_date=start_date, end_date=end_date, model=model, - api_key=api_key, + api_key=scoped_api_key_filter, page=page, page_size=page_size, # metadata_metrics_func=None because litellm_dailytagspend rows are diff --git a/litellm/proxy/management_endpoints/team_endpoints.py b/litellm/proxy/management_endpoints/team_endpoints.py index 259624f1e18..65bcca23c30 100644 --- a/litellm/proxy/management_endpoints/team_endpoints.py +++ b/litellm/proxy/management_endpoints/team_endpoints.py @@ -3805,6 +3805,7 @@ async def _build_team_list_where_conditions( organization_id: Optional[str], user_id: Optional[str], use_deleted_table: bool, + search: Optional[str] = None, org_admin_org_ids: Optional[List[str]] = None, user_api_key_cache: Optional[Any] = None, proxy_logging_obj: Optional[Any] = None, @@ -3826,6 +3827,12 @@ async def _build_team_list_where_conditions( "mode": "insensitive", # Case-insensitive search } + if search: + where_conditions["OR"] = [ + {"team_id": search}, + {"team_alias": {"contains": search, "mode": "insensitive"}}, + ] + if organization_id: where_conditions["organization_id"] = organization_id elif org_admin_org_ids is not None: @@ -4019,6 +4026,10 @@ async def list_team_v2( default=None, description="Only return teams which this 'team_alias' belongs to. Supports partial matching.", ), + search: Optional[str] = fastapi.Query( + default=None, + description="Combined search: matches teams whose 'team_id' equals the value OR whose 'team_alias' contains it (case-insensitive).", + ), page: int = fastapi.Query( default=1, description="Page number for pagination", ge=1 ), @@ -4104,6 +4115,7 @@ async def list_team_v2( organization_id=organization_id, user_id=user_id, use_deleted_table=use_deleted_table, + search=search, org_admin_org_ids=org_admin_org_ids, user_api_key_cache=user_api_key_cache, proxy_logging_obj=proxy_logging_obj, diff --git a/litellm/proxy/management_endpoints/ui_sso.py b/litellm/proxy/management_endpoints/ui_sso.py index b13118db6fe..6e2e2bedac1 100644 --- a/litellm/proxy/management_endpoints/ui_sso.py +++ b/litellm/proxy/management_endpoints/ui_sso.py @@ -740,7 +740,7 @@ def generic_response_convertor( all_teams = [] if sso_jwt_handler is not None: - team_ids = sso_jwt_handler.get_team_ids_from_jwt(cast(dict, response)) + team_ids = sso_jwt_handler.get_all_jwt_team_ids(cast(dict, response)) all_teams.extend(team_ids) if team_mappings is not None and team_mappings.team_ids_jwt_field is not None: @@ -755,7 +755,7 @@ def generic_response_convertor( f"Loaded team_ids from DB team_mappings.team_ids_jwt_field='{team_mappings.team_ids_jwt_field}': {team_ids_from_db_mapping}" ) else: - team_ids = jwt_handler.get_team_ids_from_jwt(cast(dict, response)) + team_ids = jwt_handler.get_all_jwt_team_ids(cast(dict, response)) all_teams.extend(team_ids) # Determine user role based on role_mappings if available diff --git a/litellm/proxy/proxy_cli.py b/litellm/proxy/proxy_cli.py index 6359b48654b..5fc8c44b2d8 100644 --- a/litellm/proxy/proxy_cli.py +++ b/litellm/proxy/proxy_cli.py @@ -805,7 +805,8 @@ def run_server( # noqa: PLR0915 ) db_connection_pool_limit = 100 - db_connection_timeout = 60 + # Starts optional due to config fallback checks; guaranteed non-None before use. + db_connection_timeout: Optional[Union[int, float]] = 60 general_settings = {} ### GET DB TOKEN FOR IAM AUTH ### @@ -914,10 +915,15 @@ def run_server( # noqa: PLR0915 "database_connection_pool_limit", LiteLLMDatabaseConnectionPool.database_connection_pool_limit.value, ) - db_connection_timeout = general_settings.get( - "database_connection_pool_timeout", - LiteLLMDatabaseConnectionPool.database_connection_pool_timeout.value, - ) + db_connection_timeout = general_settings.get("database_connection_timeout") + if db_connection_timeout is None: + db_connection_timeout = general_settings.get( + "database_connection_pool_timeout" + ) + if db_connection_timeout is None: + db_connection_timeout = ( + LiteLLMDatabaseConnectionPool.database_connection_pool_timeout.value + ) if database_url and database_url.startswith("os.environ/"): original_dir = os.getcwd() # set the working directory to where this script is diff --git a/litellm/proxy/proxy_server.py b/litellm/proxy/proxy_server.py index 493519f2328..4a538a28e03 100644 --- a/litellm/proxy/proxy_server.py +++ b/litellm/proxy/proxy_server.py @@ -1061,6 +1061,52 @@ vertex_live_passthrough_vertex_base = VertexBase() from fastapi.routing import APIWebSocketRoute +def _inject_websocket_stubs_into_openapi_schema( + openapi_schema: dict, websocket_routes: list +) -> dict: + """ + Add a synthetic GET stub for each WebSocket route so it appears in Swagger UI. + + Merges into any existing path entry rather than replacing it — a WebSocket route + that shares its path with an HTTP route must not erase the HTTP operation. If + a "get" operation is already documented on the path, the WebSocket stub is + skipped to preserve the real GET. + """ + for route in websocket_routes: + base_path = route.path.split("{")[0].rstrip("?") + + parameters = [] + try: + if hasattr(route, "dependant") and route.dependant is not None: + # Handle both FastAPI <0.120 and >=0.120 + query_params = getattr(route.dependant, "query_params", []) + if query_params: + for param in query_params: + parameters.append( + { + "name": param.name, + "in": "query", + "required": param.required, + "schema": {"type": "string"}, + } + ) + except (AttributeError, TypeError): + pass + + path_entry = openapi_schema["paths"].setdefault(base_path, {}) + if "get" not in path_entry: + path_entry["get"] = { + "summary": f"WebSocket: {route.name or base_path}", + "description": "WebSocket connection endpoint", + "operationId": f"websocket_{route.name or base_path.replace('/', '_')}", + "parameters": parameters, + "responses": {"101": {"description": "WebSocket Protocol Switched"}}, + "tags": ["WebSocket"], + } + + return openapi_schema + + def get_openapi_schema(): if app.openapi_schema: return app.openapi_schema @@ -1083,43 +1129,11 @@ def get_openapi_schema(): route for route in app.routes if isinstance(route, APIWebSocketRoute) ] - # Add each WebSocket route to the schema - for route in websocket_routes: - # Get the base path without query parameters - base_path = route.path.split("{")[0].rstrip("?") - - # Extract parameters from the route - parameters = [] - try: - if hasattr(route, "dependant") and route.dependant is not None: - # Handle both FastAPI <0.120 and >=0.120 - query_params = getattr(route.dependant, "query_params", []) - if query_params: - for param in query_params: - parameters.append( - { - "name": param.name, - "in": "query", - "required": param.required, - "schema": { - "type": "string" - }, # You can make this more specific if needed - } - ) - except (AttributeError, TypeError): - # If we can't access query_params, continue without them - pass - - openapi_schema["paths"][base_path] = { - "get": { - "summary": f"WebSocket: {route.name or base_path}", - "description": "WebSocket connection endpoint", - "operationId": f"websocket_{route.name or base_path.replace('/', '_')}", - "parameters": parameters, - "responses": {"101": {"description": "WebSocket Protocol Switched"}}, - "tags": ["WebSocket"], - } - } + # Add a synthetic GET stub for each so they render in Swagger UI, + # without clobbering existing HTTP operations on the same path. + openapi_schema = _inject_websocket_stubs_into_openapi_schema( + openapi_schema, websocket_routes + ) # Add LLM API request schema bodies for documentation from litellm.proxy.common_utils.custom_openapi_spec import CustomOpenAPISpec @@ -5937,10 +5951,20 @@ class ProxyConfig: verbose_proxy_logger.debug( "guardrails from the DB %s", str(guardrails_in_db) ) + db_guardrail_ids: set = set() for guardrail in guardrails_in_db: + guardrail_id = guardrail.get("guardrail_id") + if guardrail_id: + db_guardrail_ids.add(guardrail_id) IN_MEMORY_GUARDRAIL_HANDLER.sync_guardrail_from_db( guardrail=cast(Guardrail, guardrail), ) + + # Drop in-memory DB-backed entries whose row was deleted on another + # pod. Config-loaded entries are never touched. + IN_MEMORY_GUARDRAIL_HANDLER.reconcile_db_guardrails( + db_guardrail_ids=db_guardrail_ids + ) except Exception as e: verbose_proxy_logger.exception( "litellm.proxy.proxy_server.py::ProxyConfig:_init_guardrails_in_db - {}".format( diff --git a/litellm/proxy/utils.py b/litellm/proxy/utils.py index 0577110a26f..559d5c99b9d 100644 --- a/litellm/proxy/utils.py +++ b/litellm/proxy/utils.py @@ -2406,7 +2406,8 @@ def jsonify_object(data: dict) -> dict: return db_data -# In-memory cache for deprecated key lookups: maps old_token_hash -> (active_token_id, expires_at_ts) +# In-memory cache for deprecated key lookups: +# maps old_token_hash -> (active_token_id, cache_expires_at_ts, revoke_at_ts). # Avoids a DB query on every auth request for non-deprecated keys. # Bounded to prevent memory leaks from accumulated rotations. _deprecated_key_cache: LimitedSizeOrderedDict = LimitedSizeOrderedDict(max_size=1000) @@ -2428,26 +2429,25 @@ async def _lookup_deprecated_key( # Check cache first cached = _deprecated_key_cache.get(hashed_token) - cached = _deprecated_key_cache.get(hashed_token) if cached is not None: active_token_id, cache_expires_at_ts, revoke_at_ts = cached if now_ts < cache_expires_at_ts and now_ts < revoke_at_ts: return active_token_id - else: - _deprecated_key_cache.pop(hashed_token, None) + _deprecated_key_cache.pop(hashed_token, None) try: deprecated_row = await db.litellm_deprecatedverificationtoken.find_first( where={ "token": hashed_token, "revoke_at": {"gt": now}, - }, - select={"active_token_id": True}, + } ) if deprecated_row and deprecated_row.active_token_id: + revoke_at = deprecated_row.revoke_at _deprecated_key_cache[hashed_token] = ( deprecated_row.active_token_id, now_ts + _DEPRECATED_KEY_CACHE_TTL_SECONDS, + revoke_at.timestamp(), ) return deprecated_row.active_token_id # Only cache positive results; negative lookups are fast on indexed columns @@ -4977,10 +4977,10 @@ class ProxyUpdateSpend: timeout=timedelta(seconds=60) ) as transaction: async with transaction.batch_() as batcher: - for ( - end_user_id, - response_cost, - ) in end_user_list_transactions.items(): + # Sort by end_user_id for consistent lock ordering across pods to prevent deadlocks. + for end_user_id, response_cost in sorted( + end_user_list_transactions.items() + ): if litellm.max_end_user_budget is not None: pass batcher.litellm_endusertable.upsert( diff --git a/litellm/router.py b/litellm/router.py index 7512ee387dc..5e30ae618c6 100644 --- a/litellm/router.py +++ b/litellm/router.py @@ -1673,7 +1673,7 @@ class Router: for cb in self.optional_callbacks ) if not already_registered: - ec_callback = EncryptedContentAffinityCheck() + ec_callback = EncryptedContentAffinityCheck(router=self) self.optional_callbacks.append(ec_callback) litellm.logging_callback_manager.add_litellm_callback(ec_callback) @@ -7076,11 +7076,11 @@ class Router: _shared_model_info = { k: v for k, v in _model_info.items() if k not in _custom_pricing_fields } - litellm.register_model( - model_cost={ - _model_name: _shared_model_info, - } - ) + _backend_alias_cost = {_model_name: _shared_model_info} + if "responses/" in _model_name: + _stripped_model_name = _model_name.replace("responses/", "") + _backend_alias_cost[_stripped_model_name] = _shared_model_info + litellm.register_model(model_cost=_backend_alias_cost) ## Check if LLM Deployment is allowed for this deployment if ( @@ -7752,6 +7752,12 @@ class Router: # initialize client self._add_deployment(deployment=deployment) + _model_info_dict: dict = deployment.model_info.model_dump(exclude_none=True) + for field in CustomPricingLiteLLMParams.model_fields.keys(): + field_value = deployment.litellm_params.get(field) + if field_value is not None: + _model_info_dict[field] = field_value + # Register custom pricing in litellm.model_cost. # Mirrors _create_deployment() logic to ensure dynamically-added deployments # (e.g., loaded from DB) also have their custom pricing registered. @@ -7759,13 +7765,31 @@ class Router: # zero-cost models, causing budget checks to block free models. _model_id = deployment.model_info.id if _model_id is not None: - _model_info_dict: dict = deployment.model_info.model_dump(exclude_none=True) - for field in CustomPricingLiteLLMParams.model_fields.keys(): - field_value = deployment.litellm_params.get(field) - if field_value is not None: - _model_info_dict[field] = field_value litellm.register_model(model_cost={_model_id: _model_info_dict}) + ## REGISTER MODEL INFO IN LITELLM MODEL COST MAP + ## OLD MODEL REGISTRATION ## Kept to prevent breaking changes + _model_name = deployment.litellm_params.model + if deployment.litellm_params.custom_llm_provider is not None: + _model_name = ( + deployment.litellm_params.custom_llm_provider + "/" + _model_name + ) + + # For the shared backend key, strip custom pricing fields so that + # one deployment's pricing overrides don't pollute another + # deployment sharing the same backend model name. + # Each deployment's full pricing is already stored under its + # unique model_id above (when present). + _custom_pricing_fields = CustomPricingLiteLLMParams.model_fields.keys() + _shared_model_info = { + k: v for k, v in _model_info_dict.items() if k not in _custom_pricing_fields + } + _backend_alias_cost = {_model_name: _shared_model_info} + if "responses/" in _model_name: + _stripped_model_name = _model_name.replace("responses/", "") + _backend_alias_cost[_stripped_model_name] = _shared_model_info + litellm.register_model(model_cost=_backend_alias_cost) + # add to model names self._add_model_to_list_and_index_map( model=_deployment, model_id=deployment.model_info.id 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 3f1714ba5a5..866073c84dc 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 @@ -36,13 +36,16 @@ Safe to enable globally: - No cache required. """ -from typing import Any, List, Optional, cast +from typing import TYPE_CHECKING, Any, List, Optional, cast from litellm._logging import verbose_router_logger from litellm.integrations.custom_logger import CustomLogger, Span from litellm.responses.utils import ResponsesAPIRequestUtils from litellm.types.llms.openai import AllMessageValues +if TYPE_CHECKING: + from litellm.router import Router + class EncryptedContentAffinityCheck(CustomLogger): """ @@ -55,8 +58,9 @@ class EncryptedContentAffinityCheck(CustomLogger): Wired via ``Router(optional_pre_call_checks=["encrypted_content_affinity"])``. """ - def __init__(self) -> None: + def __init__(self, router: Optional["Router"] = None) -> None: super().__init__() + self.router = router # ------------------------------------------------------------------ # Helpers @@ -119,6 +123,58 @@ class EncryptedContentAffinityCheck(CustomLogger): return deployment return None + @staticmethod + def _encryption_boundary_key( + litellm_params: Any, + ) -> Optional[tuple]: + """ + ``(api_base, api_key)`` pair identifying an Azure resource. Two + deployments sharing both are interchangeable for ``encrypted_content`` + follow-ups; Azure rejects content produced by any other resource. + + Accepts any object exposing dict-style ``.get(key, default)``: plain + dicts (the common case in ``healthy_deployments``) as well as + ``LiteLLM_Params``-style Pydantic instances, which define a custom + ``.get()``. A stricter ``isinstance(dict)`` guard would silently drop + the latter from boundary matching and fall back to the full pool — + i.e. trigger the exact ``invalid_encrypted_content`` failure this + check exists to prevent. + """ + getter = getattr(litellm_params, "get", None) + if not callable(getter): + return None + api_base = getter("api_base") + api_key = getter("api_key") + if not api_base or not api_key: + return None + return (api_base, api_key) + + def _find_deployments_on_same_encryption_boundary( + self, + healthy_deployments: List[dict], + model_id: str, + ) -> List[dict]: + """ + Deployments in ``healthy_deployments`` sharing the originating + deployment's ``(api_base, api_key)``. Returns ``[]`` if router isn't + wired in, the originating deployment was removed, or no boundary match. + """ + if self.router is None: + return [] + originating = self.router.get_deployment(model_id=model_id) + if originating is None: + return [] + boundary = self._encryption_boundary_key( + originating.litellm_params.model_dump(exclude_none=True) + ) + if boundary is None: + return [] + return [ + d + for d in healthy_deployments + if self._encryption_boundary_key(d.get("litellm_params", {})) == boundary + ] + # ------------------------------------------------------------------ # Request routing (pre-call filter) # ------------------------------------------------------------------ @@ -172,8 +228,25 @@ class EncryptedContentAffinityCheck(CustomLogger): request_kwargs["_encrypted_content_affinity_pinned"] = True return [deployment] + # Follow-up switched model_name (LIT-2531): pin by Azure resource instead. + boundary_matches = self._find_deployments_on_same_encryption_boundary( + healthy_deployments=typed_healthy_deployments, + model_id=model_id, + ) + if boundary_matches: + verbose_router_logger.debug( + "EncryptedContentAffinityCheck: model_id=%s not in healthy_deployments; " + "pinning to %d deployment(s) on same encryption boundary", + model_id, + len(boundary_matches), + ) + request_kwargs["_encrypted_content_affinity_pinned"] = True + return boundary_matches + verbose_router_logger.error( - "EncryptedContentAffinityCheck: decoded deployment=%s not found in healthy_deployments", + "EncryptedContentAffinityCheck: decoded deployment=%s not found in " + "healthy_deployments and no boundary match available; falling back to " + "full deployment pool (encrypted_content may be rejected upstream)", model_id, ) return typed_healthy_deployments diff --git a/litellm/types/llms/bedrock.py b/litellm/types/llms/bedrock.py index 64827db13f6..5db2a45054a 100644 --- a/litellm/types/llms/bedrock.py +++ b/litellm/types/llms/bedrock.py @@ -1042,3 +1042,10 @@ class BedrockInvokeAnthropicMessagesRequest(TypedDict, total=False): thinking: dict metadata: dict output_config: dict + + # `context_management` is allowed for Bedrock InvokeModel only when it + # carries `compact_20260112` edits paired with the `compact-2026-01-12` + # anthropic-beta header. The Invoke transformation filters edits to the + # supported subset and strips the field entirely when nothing remains, so + # other edit types (e.g. `clear_thinking_20251015`) never reach Bedrock. + context_management: dict diff --git a/litellm/types/proxy/management_endpoints/key_management_endpoints.py b/litellm/types/proxy/management_endpoints/key_management_endpoints.py index b1d25455d18..d214cdb4f5d 100644 --- a/litellm/types/proxy/management_endpoints/key_management_endpoints.py +++ b/litellm/types/proxy/management_endpoints/key_management_endpoints.py @@ -1,6 +1,7 @@ -from typing import Any, Dict, List, Optional +from datetime import datetime +from typing import Any, Dict, List, Literal, Optional -from pydantic import BaseModel +from pydantic import BaseModel, ConfigDict, model_validator class BulkUpdateKeyRequestItem(BaseModel): @@ -40,3 +41,78 @@ class BulkUpdateKeyResponse(BaseModel): total_requested: int successful_updates: List[SuccessfulKeyUpdate] failed_updates: List[FailedKeyUpdate] + + +class KeyUpdateFields(BaseModel): + """Allowlist of bulk-broadcastable fields for /team/key/bulk_update; `extra="forbid"` blocks RBAC/ownership/scope mutations even by team admins.""" + + model_config = ConfigDict(extra="forbid", protected_namespaces=()) + + # Budgets + max_budget: Optional[float] = None + budget_id: Optional[str] = None + budget_duration: Optional[str] = None + budget_limits: Optional[List[Any]] = None + model_max_budget: Optional[Dict[str, Any]] = None + + # Rate limits + tpm_limit: Optional[int] = None + rpm_limit: Optional[int] = None + model_tpm_limit: Optional[Dict[str, Any]] = None + model_rpm_limit: Optional[Dict[str, Any]] = None + max_parallel_requests: Optional[int] = None + rpm_limit_type: Optional[ + Literal["guaranteed_throughput", "best_effort_throughput", "dynamic"] + ] = None + tpm_limit_type: Optional[ + Literal["guaranteed_throughput", "best_effort_throughput", "dynamic"] + ] = None + + # Temporary budget grants (auto-expire). `spend` deliberately omitted — bulk-zeroing it bypasses budget enforcement; admin-only via /key/update. + temp_budget_increase: Optional[float] = None + temp_budget_expiry: Optional[datetime] = None + + # Expiry + duration: Optional[str] = None + + # Operational metadata + tags: Optional[List[str]] = None + metadata: Optional[Dict[str, Any]] = None + + @model_validator(mode="after") + def validate_temp_budget(self) -> "KeyUpdateFields": + if self.temp_budget_increase is not None or self.temp_budget_expiry is not None: + if self.temp_budget_increase is None or self.temp_budget_expiry is None: + raise ValueError( + "temp_budget_increase and temp_budget_expiry must be set together" + ) + return self + + @model_validator(mode="after") + def require_at_least_one_field(self) -> "KeyUpdateFields": + # Reject empty payload — would iterate every key with no-op writes. + if not self.model_fields_set: + raise ValueError("update_fields must specify at least one field to update.") + return self + + +class BulkUpdateTeamKeysRequest(BaseModel): + """Apply one update payload to many keys inside a team; provide either `key_ids` or `all_keys_in_team=True`.""" + + team_id: str + key_ids: Optional[List[str]] = None + all_keys_in_team: bool = False + update_fields: KeyUpdateFields + + @model_validator(mode="after") + def validate_selection(self) -> "BulkUpdateTeamKeysRequest": + has_key_ids = self.key_ids is not None and len(self.key_ids) > 0 + if has_key_ids and self.all_keys_in_team: + raise ValueError( + "Provide either `key_ids` or `all_keys_in_team=True`, not both." + ) + if not has_key_ids and not self.all_keys_in_team: + raise ValueError( + "Must provide either `key_ids` (non-empty) or `all_keys_in_team=True`." + ) + return self diff --git a/litellm/utils.py b/litellm/utils.py index 019fbc2add8..da80e4ae164 100644 --- a/litellm/utils.py +++ b/litellm/utils.py @@ -1,3 +1,5 @@ +"""Utility helpers for LiteLLM core request handling and provider support.""" + # from __future__ import annotations must be the first non-comment statement from __future__ import annotations @@ -4405,6 +4407,10 @@ def get_optional_params( # noqa: PLR0915 else False ), ) + if bedrock_route == "claude_platform": + optional_params = BedrockModelInfo.map_claude_platform_auth_params( + passed_params=passed_params, optional_params=optional_params + ) elif custom_llm_provider == "cloudflare": optional_params = litellm.CloudflareChatConfig().map_openai_params( model=model, @@ -9490,6 +9496,49 @@ def get_non_default_completion_params(kwargs: dict) -> dict: return non_default_params +def peek_reasoning_summary_aliases(optional_params: dict) -> Optional[Any]: + """Read AI-SDK-style reasoning summary from optional_params or nested extra_body. + + Uses key membership (not ``or`` chains) so falsy values like ``""`` are not skipped. + """ + if "reasoningSummary" in optional_params: + return optional_params["reasoningSummary"] + if "reasoning_summary" in optional_params: + return optional_params["reasoning_summary"] + extra_body = optional_params.get("extra_body") + if isinstance(extra_body, dict): + if "reasoningSummary" in extra_body: + return extra_body["reasoningSummary"] + if "reasoning_summary" in extra_body: + return extra_body["reasoning_summary"] + return None + + +def strip_reasoning_summary_aliases_from_optional_params( + optional_params: dict, +) -> Tuple[dict, Optional[Any]]: + """Copy optional_params; remove reasoningSummary aliases from top-level and extra_body.""" + op = dict(optional_params) + rs_val = op.pop("reasoningSummary", None) + snake_rs_val = op.pop("reasoning_summary", None) + if rs_val is None: + rs_val = snake_rs_val + eb = op.get("extra_body") + if isinstance(eb, dict): + eb = dict(eb) + eb_rs_val = eb.pop("reasoningSummary", None) + eb_snake_rs_val = eb.pop("reasoning_summary", None) + if rs_val is None: + rs_val = eb_rs_val + if rs_val is None: + rs_val = eb_snake_rs_val + if eb: + op["extra_body"] = eb + else: + op.pop("extra_body", None) + return op, rs_val + + def get_non_default_transcription_params(kwargs: dict) -> dict: from litellm.constants import OPENAI_TRANSCRIPTION_PARAMS diff --git a/model_prices_and_context_window.json b/model_prices_and_context_window.json index e66ad8e0cf6..70b065aa918 100644 --- a/model_prices_and_context_window.json +++ b/model_prices_and_context_window.json @@ -21109,6 +21109,38 @@ "supports_system_messages": true, "supports_tool_choice": true }, + "gpt-realtime-2": { + "cache_creation_input_audio_token_cost": 4e-07, + "cache_read_input_token_cost": 4e-07, + "input_cost_per_audio_token": 3.2e-05, + "input_cost_per_image": 5e-06, + "input_cost_per_token": 4e-06, + "litellm_provider": "openai", + "max_input_tokens": 32000, + "max_output_tokens": 4096, + "max_tokens": 4096, + "mode": "chat", + "output_cost_per_audio_token": 6.4e-05, + "output_cost_per_token": 1.6e-05, + "supported_endpoints": [ + "/v1/realtime" + ], + "supported_modalities": [ + "text", + "image", + "audio" + ], + "supported_output_modalities": [ + "text", + "audio" + ], + "supports_audio_input": true, + "supports_audio_output": true, + "supports_function_calling": true, + "supports_parallel_function_calling": true, + "supports_system_messages": true, + "supports_tool_choice": true + }, "gpt-realtime-mini": { "cache_creation_input_audio_token_cost": 3e-07, "cache_read_input_audio_token_cost": 3e-07, diff --git a/proxy_server_config.yaml b/proxy_server_config.yaml index 5d3d810926a..d9838c852a2 100644 --- a/proxy_server_config.yaml +++ b/proxy_server_config.yaml @@ -38,9 +38,9 @@ model_list: model_info: mode: embedding base_model: text-embedding-ada-002 - - model_name: dall-e-2 # some tests use dall-e-2 which is now deprecated, alias to dall-e-3 + - model_name: dall-e-2 # dall-e-2 and dall-e-3 were deprecated 2026-05-12; alias to gpt-image-1 litellm_params: - model: openai/dall-e-3 + model: openai/gpt-image-1 - model_name: openai-dall-e-3 litellm_params: model: dall-e-3 diff --git a/pyproject.toml b/pyproject.toml index 5cd83148d37..65557d8a9ee 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -275,6 +275,33 @@ filterwarnings = [ "ignore::DeprecationWarning:pytest_asyncio.plugin", ] +[tool.mutmut] +# Mutation-testing scope. Driven by the manually-triggered workflow at +# .github/workflows/mutation-test.yml. mutmut is not part of the project's +# default install; it is pulled in via `uv run --with mutmut==` in CI. +# `also_copy = ["litellm/"]` is required because mutmut runs in a `mutants/` +# sandbox and the test conftest imports from across the litellm package. +paths_to_mutate = [ + "litellm/proxy/management_endpoints/", +] +tests_dir = [ + "tests/test_litellm/proxy/management_endpoints/", +] +also_copy = [ + "litellm/", +] +# Disable rerun/parallel plugins for mutation runs: +# - pytest-retry triggers an `INTERNALERROR: no option named 'filtered_exceptions'` +# when invoked via mutmut's in-process `pytest.main()` call. +# - rerunning a "failed" test on a mutant would mask which mutants are killed +# vs. survive, so reruns are wrong for mutation testing regardless. +# - xdist is unnecessary inside mutmut (mutmut handles its own parallelism). +pytest_add_cli_args = [ + "-p", "no:retry", + "-p", "no:rerunfailures", + "-p", "no:xdist", +] + [tool.coverage.run] source = ["litellm"] relative_files = true diff --git a/scripts/mutation_report.py b/scripts/mutation_report.py new file mode 100644 index 00000000000..a606e3f71cf --- /dev/null +++ b/scripts/mutation_report.py @@ -0,0 +1,423 @@ +#!/usr/bin/env python3 +"""Generate an agent-actionable mutation testing report. + +Reads the mutmut sandbox state at `mutants/` and produces a single +`mutation-report.md` grouped by function. For each function with surviving +mutants, the report embeds the original function source (via AST), the +unified diff for each surviving mutation (via `mutmut show`), and the +existing test file(s) — followed by an ACH-style instruction asking the +reader to write tests that kill the survivors. + +Run after `mutmut run` and `mutmut export-cicd-stats`. Expects mutmut to be +invokable as `uv run --no-sync --with mutmut== mutmut `. +""" +from __future__ import annotations + +import ast +import json +import re +import subprocess +import sys +import tomllib +from collections import defaultdict +from difflib import SequenceMatcher +from pathlib import Path +from textwrap import dedent + +ROOT = Path(__file__).resolve().parent.parent +MUTMUT_INVOCATION = ["uv", "run", "--no-sync", "--with", "mutmut==3.5.0", "mutmut"] + + +def load_mutmut_config() -> dict: + with open(ROOT / "pyproject.toml", "rb") as f: + return tomllib.load(f)["tool"]["mutmut"] + + +def get_survivors() -> list[str]: + proc = subprocess.run( + [*MUTMUT_INVOCATION, "results"], capture_output=True, text=True, check=False + ) + survivors = [] + for line in proc.stdout.splitlines(): + m = re.match(r"\s*(\S+):\s*survived\s*$", line) + if m: + survivors.append(m.group(1)) + return survivors + + +def get_mutmut_show(mutant_name: str) -> str: + proc = subprocess.run( + [*MUTMUT_INVOCATION, "show", mutant_name], + capture_output=True, + text=True, + check=False, + ) + return proc.stdout.strip() or "(mutmut show produced no output)" + + +def parse_mutant_name(name: str) -> tuple[str, str, str]: + """Parse `.x___mutmut_` -> (module, function, N). + + mutmut prefixes mutated functions with `x_` (single underscore). For a + function named `foo`, mutants are `x_foo__mutmut_N`. For a function named + `_foo` (leading underscore), the mutant becomes `x__foo__mutmut_N` — so + the regex matches a single underscore after `x` and captures everything + (including any leading underscores) up to `__mutmut_`. + """ + m = re.match(r"^(.+)\.x_(.+)__mutmut_(\d+)$", name) + if not m: + return name, name, "?" + return m.group(1), m.group(2), m.group(3) + + +def function_anchor(module_path: str, function_name: str) -> str: + return re.sub(r"[^a-z0-9_-]+", "-", f"{module_path}-{function_name}".lower()).strip( + "-" + ) + + +def module_to_file(module_path: str) -> Path | None: + candidate = ROOT / Path(*module_path.split(".")).with_suffix(".py") + return candidate if candidate.exists() else None + + +def find_function_in_file( + file_path: Path, function_name: str +) -> tuple[int, int, str, list[int]] | None: + """Find a top-level or nested function by name; returns the first match. + + Returns ``(start_line, end_line, source, all_match_lines)`` or ``None``. + ``all_match_lines`` is the start line of every function (any nesting + level) in the file with this name. When ``len(all_match_lines) > 1`` the + file defines the same name in multiple places (e.g., a module-level + helper and a class method) — mutmut's mutant identifier does not carry + class context, so we can't determine which definition was mutated. + Callers surface a disambiguation note in that case. + """ + src = file_path.read_text() + tree = ast.parse(src) + matches = [ + node + for node in ast.walk(tree) + if isinstance(node, (ast.FunctionDef, ast.AsyncFunctionDef)) + and node.name == function_name + ] + if not matches: + return None + first = matches[0] + lines = src.splitlines() + return ( + first.lineno, + first.end_lineno, + "\n".join(lines[first.lineno - 1 : first.end_lineno]), + [m.lineno for m in matches], + ) + + +def collect_test_files(tests_dir: list[str]) -> list[Path]: + found: list[Path] = [] + for entry in tests_dir: + p = ROOT / entry + if p.is_file(): + found.append(p) + elif p.is_dir(): + found.extend(sorted(p.rglob("test_*.py"))) + return found + + +def _indent_of(line: str) -> str: + return line[: len(line) - len(line.lstrip())] + + +def render_meta_style_mutant( + module_path: str, function_name: str, mutant_num: str +) -> str | None: + """Render the mutated function with `# MUTANT START`/`# MUTANT END` delimiters. + + Reads `mutants/.py` (the trampoline file mutmut emits), finds + `x___mutmut_orig` and `x___mutmut_`, and renders the + mutated version with the lines that differ from `__mutmut_orig` wrapped + in `# MUTANT START`/`# MUTANT END` comments — the format from Meta's + ACH paper (arXiv 2501.12862, Table 1). + + The function header is rewritten to use the original function name so + the agent sees the source as it would appear in the file (rather than + mutmut's internal `x_*__mutmut_` name). + + Returns None if the trampoline file or either function cannot be found + (the caller falls back to the unified diff). + """ + trampoline = ROOT / "mutants" / Path(*module_path.split(".")).with_suffix(".py") + if not trampoline.exists(): + return None + + src = trampoline.read_text() + try: + tree = ast.parse(src) + except SyntaxError: + return None + file_lines = src.splitlines() + + orig_def = f"x_{function_name}__mutmut_orig" + mutant_def = f"x_{function_name}__mutmut_{mutant_num}" + + orig_node = mutated_node = None + for node in ast.walk(tree): + if isinstance(node, (ast.FunctionDef, ast.AsyncFunctionDef)): + if node.name == orig_def: + orig_node = node + elif node.name == mutant_def: + mutated_node = node + + if orig_node is None or mutated_node is None: + return None + + orig_lines = file_lines[orig_node.lineno - 1 : orig_node.end_lineno] + mutated_lines = file_lines[mutated_node.lineno - 1 : mutated_node.end_lineno] + if not orig_lines or not mutated_lines: + return None + + # Rewrite the def line to use the original (non-trampolined) function name + # so the agent sees the function as it appears in the source file. + orig_lines[0] = orig_lines[0].replace(orig_def, function_name, 1) + mutated_lines[0] = mutated_lines[0].replace(mutant_def, function_name, 1) + + matcher = SequenceMatcher(a=orig_lines, b=mutated_lines) + out: list[str] = [] + in_diff = False + + for op, i1, i2, j1, j2 in matcher.get_opcodes(): + if op == "equal": + if in_diff: + # Close the block at the indent of the line just inside it. + indent = _indent_of(out[-1]) if out else "" + out.append(f"{indent}# MUTANT END") + in_diff = False + out.extend(mutated_lines[j1:j2]) + else: + if not in_diff: + # Open the block at the indent of the first differing line. + if j1 < len(mutated_lines): + indent = _indent_of(mutated_lines[j1]) + elif i1 < len(orig_lines): + indent = _indent_of(orig_lines[i1]) + else: + indent = "" + out.append(f"{indent}# MUTANT START") + in_diff = True + if op == "delete": + # Mutation removed lines — surface what was deleted as a + # comment so the agent can see the intent of the change. + for deleted in orig_lines[i1:i2]: + indent = _indent_of(deleted) + out.append(f"{indent}# (deleted by mutation): {deleted.lstrip()}") + else: + # replace / insert: take from mutated_lines + out.extend(mutated_lines[j1:j2]) + + if in_diff: + indent = _indent_of(out[-1]) if out else "" + out.append(f"{indent}# MUTANT END") + + return "\n".join(out) + + +def render(config: dict, survivors: list[str], stats: dict | None) -> str: + by_function: dict[tuple[str, str], list[tuple[str, str]]] = defaultdict(list) + for survivor in survivors: + module_path, function_name, mutant_num = parse_mutant_name(survivor) + by_function[(module_path, function_name)].append((survivor, mutant_num)) + + out: list[str] = [] + out.append("# Mutation Test Report") + out.append("") + + out.append("## Summary") + out.append("") + if stats: + total = stats.get("total", 0) or sum( + stats.get(k, 0) + for k in ( + "killed", + "survived", + "no_tests", + "skipped", + "suspicious", + "timeout", + "segfault", + ) + ) + killed = stats.get("killed", 0) + survived = stats.get("survived", 0) + score = (killed / total * 100) if total else 0.0 + out.append(f"- Total mutants: **{total}**") + out.append(f"- Killed: **{killed}**") + out.append(f"- Survived: **{survived}**") + out.append(f"- Mutation score: **{score:.1f}%**") + for k in ("no_tests", "skipped", "suspicious", "timeout", "segfault"): + v = stats.get(k, 0) + if v: + out.append(f"- {k.replace('_', ' ').title()}: {v}") + else: + out.append(f"- Survivors found: **{len(survivors)}**") + out.append("- (mutmut-cicd-stats.json not available — full counts unavailable)") + out.append("") + + if not survivors: + out.append("**No surviving mutants — the test suite caught every mutation.**") + out.append("") + return "\n".join(out) + + out.append("## Surviving mutants by function") + out.append("") + for (module_path, function_name), items in by_function.items(): + anchor = function_anchor(module_path, function_name) + out.append( + f"- [`{function_name}`](#{anchor}) — {len(items)} mutant" + f"{'s' if len(items) != 1 else ''} ({module_path})" + ) + out.append("") + + for (module_path, function_name), items in by_function.items(): + anchor = function_anchor(module_path, function_name) + out.append(f'') + out.append(f"## `{module_path}.{function_name}`") + out.append("") + out.append(f"**Module:** `{module_path}`") + + file_path = module_to_file(module_path) + if file_path is None: + out.append("") + out.append(f"_(could not locate source file for module `{module_path}`)_") + out.append("") + else: + rel = file_path.relative_to(ROOT) + out.append(f"**File:** `{rel}`") + out.append("") + found = find_function_in_file(file_path, function_name) + if found: + start, end, fn_src, all_lines = found + out.append(f"### Original function (lines {start}-{end})") + out.append("") + if len(all_lines) > 1: + line_list = ", ".join(str(line) for line in all_lines) + out.append( + f"> **Note:** {len(all_lines)} functions named " + f"`{function_name}` are defined in this file at lines " + f"{line_list}. Showing the first match. mutmut's " + f"mutant identifier does not carry class context, so " + f"the body below may not correspond to the function " + f"that was actually mutated — verify manually before " + f"writing the killing test." + ) + out.append("") + out.append("```python") + out.append(fn_src) + out.append("```") + out.append("") + else: + out.append(f"_(could not locate `{function_name}` in {rel} via AST)_") + out.append("") + + out.append(f"### Surviving mutations ({len(items)})") + out.append("") + for i, (mutant_name, mutant_num) in enumerate(items, 1): + out.append(f"#### Mutation {i} of {len(items)} — `{mutant_name}`") + out.append("") + meta_style = render_meta_style_mutant( + module_path, function_name, mutant_num + ) + if meta_style is not None: + out.append( + "Mutated function (the bug is delimited by " + "`# MUTANT START` / `# MUTANT END`):" + ) + out.append("") + out.append("```python") + out.append(meta_style) + out.append("```") + out.append("") + out.append("
Unified diff (`mutmut show`)") + out.append("") + out.append("```diff") + out.append(get_mutmut_show(mutant_name)) + out.append("```") + out.append("") + out.append("
") + out.append("") + else: + # Fallback: trampoline file or function lookup failed. + out.append("```diff") + out.append(get_mutmut_show(mutant_name)) + out.append("```") + out.append("") + + test_files = collect_test_files(config.get("tests_dir", [])) + if test_files: + out.append("## Existing tests") + out.append("") + out.append( + "These are the test files that mutmut considered when classifying the " + "mutants above. New tests should be added here, matching existing " + "conventions, fixtures, and naming." + ) + out.append("") + for tf in test_files: + rel = tf.relative_to(ROOT) + out.append(f"### `{rel}`") + out.append("") + out.append("```python") + out.append(tf.read_text()) + out.append("```") + out.append("") + + out.append("## Task") + out.append("") + out.append( + dedent( + """\ + For each surviving mutant listed above, write a new test in the + existing test file (matching its conventions, fixtures, and naming + style) that: + + - **Fails** when the mutated version of the function is in place. + - **Passes** when the original (correct) version is in place. + + Aim for one test per surviving mutant. If multiple mutants in the + same function can be killed by a single test, that is fine — note + which mutant numbers in the test name or docstring. + + Do not modify the source file. Only add tests. + """ + ).strip() + ) + out.append("") + + return "\n".join(out) + + +def main() -> int: + config = load_mutmut_config() + + stats_file = ROOT / "mutants" / "mutmut-cicd-stats.json" + stats: dict | None = None + if stats_file.exists(): + try: + stats = json.loads(stats_file.read_text()) + except json.JSONDecodeError as exc: + print(f"warning: could not parse {stats_file}: {exc}", file=sys.stderr) + + survivors = get_survivors() + report = render(config, survivors, stats) + + out_path = ROOT / "mutation-report.md" + out_path.write_text(report) + print( + f"Wrote {out_path} ({len(survivors)} survivor" + f"{'s' if len(survivors) != 1 else ''}, {len(report)} chars)" + ) + return 0 + + +if __name__ == "__main__": + raise SystemExit(main()) diff --git a/tests/batches_tests/test_bedrock_files_and_batches.py b/tests/batches_tests/test_bedrock_files_and_batches.py index da08f9673d4..5148ea4db91 100644 --- a/tests/batches_tests/test_bedrock_files_and_batches.py +++ b/tests/batches_tests/test_bedrock_files_and_batches.py @@ -157,16 +157,16 @@ async def test_bedrock_retrieve_batch(): """ print("Testing bedrock batch retrieval") - # Mock bedrock batch response mock_bedrock_response = { "jobArn": "arn:aws:bedrock:us-west-2:123456789012:model-invocation-job/test-job-123", "jobName": "test-job-123", "modelId": "us.anthropic.claude-haiku-4-5-20251001-v1:0", "roleArn": "arn:aws:iam::123456789012:role/service-role/AmazonBedrockExecutionRoleForAgents_TEST", - "status": "InProgress", - "message": "Job is in progress", + "status": "Completed", + "message": "", "submitTime": "2024-01-01T12:00:00Z", "lastModifiedTime": "2024-01-01T12:30:00Z", + "endTime": "2024-01-01T13:00:00Z", "inputDataConfig": { "s3InputDataConfig": {"s3Uri": "s3://test-bucket/input/test-input.jsonl"} }, @@ -175,43 +175,38 @@ async def test_bedrock_retrieve_batch(): }, } - # Mock the HTTP response - mock_response = MagicMock() - mock_response.json.return_value = mock_bedrock_response - mock_response.status_code = 200 + mock_bedrock_client = MagicMock() + mock_bedrock_client.get_model_invocation_job.return_value = mock_bedrock_response + mock_creds = MagicMock(access_key="ak", secret_key="sk", token="tok") - # Print the mock response to debug - print("MOCK RESPONSE DATA:", mock_bedrock_response) - - with patch( - "litellm.llms.custom_httpx.http_handler.AsyncHTTPHandler.get" - ) as mock_get: - mock_response.raise_for_status.return_value = None - mock_get.return_value = mock_response - - # Test retrieve batch + with ( + patch("boto3.client", return_value=mock_bedrock_client), + patch( + "litellm.llms.bedrock.batches.transformation.BedrockBatchesConfig.get_credentials", + return_value=mock_creds, + ), + ): batch_response = await litellm.aretrieve_batch( batch_id="arn:aws:bedrock:us-west-2:123456789012:model-invocation-job/test-job-123", custom_llm_provider="bedrock", model="us.anthropic.claude-haiku-4-5-20251001-v1:0", ) - print("MOCKED BATCH RESPONSE=", batch_response) - - # Validate the response assert ( batch_response.id == "arn:aws:bedrock:us-west-2:123456789012:model-invocation-job/test-job-123" ) assert batch_response.object == "batch" - assert ( - batch_response.status == "in_progress" - ) # Bedrock "InProgress" maps to "in_progress" + assert batch_response.status == "completed" assert batch_response.endpoint == "/v1/chat/completions" - # Validate input and output file IDs in the final transformed response assert batch_response.input_file_id == "s3://test-bucket/input/test-input.jsonl" - assert batch_response.output_file_id == "s3://test-bucket/output/" + # Bedrock returns only the output *prefix*; the handler predicts the + # actual output object as //.out. + assert ( + batch_response.output_file_id + == "s3://test-bucket/output/test-job-123/test-input.jsonl.out" + ) def test_bedrock_batch_with_encryption_key_in_post_request(): diff --git a/tests/enterprise/litellm_enterprise/proxy/management_endpoints/test_internal_user_endpoints.py b/tests/enterprise/litellm_enterprise/proxy/management_endpoints/test_internal_user_endpoints.py index 69c3b4cb59a..32685c5cbd3 100644 --- a/tests/enterprise/litellm_enterprise/proxy/management_endpoints/test_internal_user_endpoints.py +++ b/tests/enterprise/litellm_enterprise/proxy/management_endpoints/test_internal_user_endpoints.py @@ -19,7 +19,7 @@ def client(): def mock_user_api_key_auth(): """Mock the user_api_key_auth dependency""" with patch( - "enterprise.litellm_enterprise.proxy.management_endpoints.internal_user_endpoints.user_api_key_auth" + "litellm_enterprise.proxy.management_endpoints.internal_user_endpoints.user_api_key_auth" ) as mock_auth: mock_auth.return_value = {"user_id": "test_user", "api_key": "test_key"} yield mock_auth @@ -31,12 +31,16 @@ class TestAvailableEnterpriseUsers: self, client, mock_user_api_key_auth ): """Test when max_users is set and user count is within limit""" - with patch("litellm.proxy.proxy_server.prisma_client") as mock_prisma, patch( - "litellm.proxy.proxy_server.premium_user", - True, - ), patch( - "litellm.proxy.proxy_server.premium_user_data", - {"max_users": 10}, + with ( + patch("litellm.proxy.proxy_server.prisma_client") as mock_prisma, + patch( + "litellm.proxy.proxy_server.premium_user", + True, + ), + patch( + "litellm.proxy.proxy_server.premium_user_data", + {"max_users": 10}, + ), ): # Mock database count mock_prisma.db.litellm_usertable.count = AsyncMock(return_value=5) @@ -66,12 +70,16 @@ class TestAvailableEnterpriseUsers: self, client, mock_user_api_key_auth ): """Test when max_users is not set (premium_user_data is None or doesn't contain max_users)""" - with patch("litellm.proxy.proxy_server.prisma_client") as mock_prisma, patch( - "litellm.proxy.proxy_server.premium_user", - True, - ), patch( - "litellm.proxy.proxy_server.premium_user_data", - None, + with ( + patch("litellm.proxy.proxy_server.prisma_client") as mock_prisma, + patch( + "litellm.proxy.proxy_server.premium_user", + True, + ), + patch( + "litellm.proxy.proxy_server.premium_user_data", + None, + ), ): # Mock database count mock_prisma.db.litellm_usertable.count = AsyncMock(return_value=3) @@ -99,12 +107,16 @@ class TestAvailableEnterpriseUsers: self, client, mock_user_api_key_auth ): """Test the current bug where total_users_remaining can be negative""" - with patch("litellm.proxy.proxy_server.prisma_client") as mock_prisma, patch( - "litellm.proxy.proxy_server.premium_user", - True, - ), patch( - "litellm.proxy.proxy_server.premium_user_data", - {"key": "value"}, + with ( + patch("litellm.proxy.proxy_server.prisma_client") as mock_prisma, + patch( + "litellm.proxy.proxy_server.premium_user", + True, + ), + patch( + "litellm.proxy.proxy_server.premium_user_data", + {"key": "value"}, + ), ): # Mock database count higher than max_users to trigger the bug mock_prisma.db.litellm_usertable.count = AsyncMock(return_value=8) @@ -140,12 +152,15 @@ class TestAvailableEnterpriseUsers: """Test when prisma_client is None (no database connection)""" from litellm.proxy._types import CommonProxyErrors - with patch( - "litellm.proxy.proxy_server.prisma_client", - None, - ), patch( - "litellm.proxy.proxy_server.premium_user", - True, + with ( + patch( + "litellm.proxy.proxy_server.prisma_client", + None, + ), + patch( + "litellm.proxy.proxy_server.premium_user", + True, + ), ): # Override the dependency client.app.dependency_overrides[mock_user_api_key_auth] = lambda: { diff --git a/tests/image_gen_tests/test_image_edits.py b/tests/image_gen_tests/test_image_edits.py index dcb04c597e2..6900bacdb90 100644 --- a/tests/image_gen_tests/test_image_edits.py +++ b/tests/image_gen_tests/test_image_edits.py @@ -133,20 +133,6 @@ class TestOpenAIImageEditGPTImage1(BaseLLMImageEditTest): } -class TestOpenAIImageEditDallE2(BaseLLMImageEditTest): - """ - Concrete implementation of BaseLLMImageEditTest for OpenAI DALL-E-2 image edits. - DALL-E-2 only supports a single image (not an array). - """ - - def get_base_image_edit_call_args(self) -> dict: - """Return base call args for OpenAI DALL-E-2 image edit (single image only)""" - return { - "model": "dall-e-2", - "image": SINGLE_TEST_IMAGE, - } - - class TestAzureAIFlux2ImageEdit(BaseLLMImageEditTest): """ Concrete implementation of BaseLLMImageEditTest for Azure AI FLUX 2 image edits. diff --git a/tests/image_gen_tests/test_image_generation.py b/tests/image_gen_tests/test_image_generation.py index 5152e3e0129..873777189c9 100644 --- a/tests/image_gen_tests/test_image_generation.py +++ b/tests/image_gen_tests/test_image_generation.py @@ -163,11 +163,6 @@ class TestBedrockNovaCanvasColorGuidedGeneration(BaseImageGenTest): } -class TestOpenAIDalle3(BaseImageGenTest): - def get_base_image_generation_call_args(self) -> dict: - return {"model": "dall-e-3"} - - class TestOpenAIGPTImage1(BaseImageGenTest): def get_base_image_generation_call_args(self) -> dict: return {"model": "gpt-image-1"} diff --git a/tests/litellm_utils_tests/test_health_check.py b/tests/litellm_utils_tests/test_health_check.py index 45c6a04ad59..61590e8f95a 100644 --- a/tests/litellm_utils_tests/test_health_check.py +++ b/tests/litellm_utils_tests/test_health_check.py @@ -68,7 +68,7 @@ async def test_azure_embedding_health_check(): async def test_openai_img_gen_health_check(): response = await litellm.ahealth_check( model_params={ - "model": "dall-e-3", + "model": "gpt-image-1", "api_key": os.getenv("OPENAI_API_KEY"), }, mode="image_generation", diff --git a/tests/litellm_utils_tests/test_proxy_budget_reset.py b/tests/litellm_utils_tests/test_proxy_budget_reset.py index a64c6c7aa36..6240bedd3e6 100644 --- a/tests/litellm_utils_tests/test_proxy_budget_reset.py +++ b/tests/litellm_utils_tests/test_proxy_budget_reset.py @@ -233,6 +233,12 @@ async def test_reset_budget_endusers_partial_failure(): prisma_client.db.litellm_verificationtoken.update_many = AsyncMock( return_value={"count": 0} ) + # Mock db.litellm_organizationtable.update_many (used by reset_budget_for_orgs_linked_to_budgets) + prisma_client.db.litellm_organizationtable.update_many = AsyncMock( + return_value={"count": 0} + ) + # Mock db.litellm_tagtable.update_many (used by reset_budget_for_tags_linked_to_budgets) + prisma_client.db.litellm_tagtable.update_many = AsyncMock(return_value={"count": 0}) proxy_logging_obj = MagicMock() proxy_logging_obj.service_logging_obj = MagicMock() @@ -400,6 +406,12 @@ async def test_reset_budget_continues_other_categories_on_failure(): prisma_client.db.litellm_verificationtoken.update_many = AsyncMock( return_value={"count": 0} ) + # Mock db.litellm_organizationtable.update_many (used by reset_budget_for_orgs_linked_to_budgets) + prisma_client.db.litellm_organizationtable.update_many = AsyncMock( + return_value={"count": 0} + ) + # Mock db.litellm_tagtable.update_many (used by reset_budget_for_tags_linked_to_budgets) + prisma_client.db.litellm_tagtable.update_many = AsyncMock(return_value={"count": 0}) proxy_logging_obj = MagicMock() proxy_logging_obj.service_logging_obj = MagicMock() @@ -884,6 +896,12 @@ async def test_service_logger_endusers_success(): prisma_client.db.litellm_verificationtoken.update_many = AsyncMock( return_value={"count": 0} ) + # Mock db.litellm_organizationtable.update_many (used by reset_budget_for_orgs_linked_to_budgets) + prisma_client.db.litellm_organizationtable.update_many = AsyncMock( + return_value={"count": 0} + ) + # Mock db.litellm_tagtable.update_many (used by reset_budget_for_tags_linked_to_budgets) + prisma_client.db.litellm_tagtable.update_many = AsyncMock(return_value={"count": 0}) proxy_logging_obj = MagicMock() proxy_logging_obj.service_logging_obj = MagicMock() @@ -966,6 +984,12 @@ async def test_service_logger_endusers_failure(): prisma_client.db.litellm_verificationtoken.update_many = AsyncMock( return_value={"count": 0} ) + # Mock db.litellm_organizationtable.update_many (used by reset_budget_for_orgs_linked_to_budgets) + prisma_client.db.litellm_organizationtable.update_many = AsyncMock( + return_value={"count": 0} + ) + # Mock db.litellm_tagtable.update_many (used by reset_budget_for_tags_linked_to_budgets) + prisma_client.db.litellm_tagtable.update_many = AsyncMock(return_value={"count": 0}) proxy_logging_obj = MagicMock() proxy_logging_obj.service_logging_obj = MagicMock() @@ -1060,6 +1084,10 @@ async def test_reset_budget_for_litellm_team_members_called(): prisma_client.db.litellm_verificationtoken.update_many = AsyncMock( return_value={"count": 0} ) + prisma_client.db.litellm_organizationtable.update_many = AsyncMock( + return_value={"count": 0} + ) + prisma_client.db.litellm_tagtable.update_many = AsyncMock(return_value={"count": 0}) proxy_logging_obj = MagicMock() proxy_logging_obj.service_logging_obj = MagicMock() diff --git a/tests/llm_translation/realtime/test_realtime_guardrails_openai.py b/tests/llm_translation/realtime/test_realtime_guardrails_openai.py index 884563c6e5c..170440f6b9f 100644 --- a/tests/llm_translation/realtime/test_realtime_guardrails_openai.py +++ b/tests/llm_translation/realtime/test_realtime_guardrails_openai.py @@ -104,7 +104,8 @@ async def test_text_message_blocked_by_guardrail_no_ai_response(): Send a text message containing the blocked phrase. Guardrail must: - Send error event (guardrail_violation) to client. - - Send response.audio_transcript.delta with the block message to client. + - Send response.output_audio_transcript.delta (or beta-protocol + response.audio_transcript.delta) with the block message to client. - NOT forward response.create to OpenAI (no AI response). """ import websockets @@ -119,7 +120,6 @@ async def test_text_message_blocked_by_guardrail_no_ai_response(): OPENAI_REALTIME_URL, additional_headers={ "Authorization": f"Bearer {OPENAI_API_KEY}", - "OpenAI-Beta": "realtime=v1", }, ) as backend_ws: streaming, input_queue = await _build_streaming(client_events, backend_ws) @@ -182,7 +182,11 @@ async def test_text_message_blocked_by_guardrail_no_ai_response(): transcript_deltas = [ e for e in client_events - if e.get("type") == "response.audio_transcript.delta" + if e.get("type") + in ( + "response.output_audio_transcript.delta", + "response.audio_transcript.delta", + ) ] assert ( len(transcript_deltas) >= 1 @@ -298,7 +302,6 @@ async def test_clean_text_message_passes_through_to_openai(): OPENAI_REALTIME_URL, additional_headers={ "Authorization": f"Bearer {OPENAI_API_KEY}", - "OpenAI-Beta": "realtime=v1", }, ) as backend_ws: streaming, input_queue = await _build_streaming(client_events, backend_ws) diff --git a/tests/llm_translation/test_openrouter.py b/tests/llm_translation/test_openrouter.py index 631b0770e3d..8fbb8803d11 100644 --- a/tests/llm_translation/test_openrouter.py +++ b/tests/llm_translation/test_openrouter.py @@ -11,7 +11,7 @@ import litellm def test_completion_openrouter_reasoning_content(): litellm._turn_on_debug() resp = litellm.completion( - model="openrouter/anthropic/claude-3.7-sonnet", + model="openrouter/anthropic/claude-sonnet-4", messages=[{"role": "user", "content": "Hello world"}], reasoning={"effort": "high"}, ) diff --git a/tests/local_testing/test_custom_callback_input.py b/tests/local_testing/test_custom_callback_input.py index 15a2975becc..545039e60ba 100644 --- a/tests/local_testing/test_custom_callback_input.py +++ b/tests/local_testing/test_custom_callback_input.py @@ -930,7 +930,7 @@ def test_image_generation_openai(): response = litellm.image_generation( prompt="A cute baby sea otter", - model="openai/dall-e-3", + model="openai/gpt-image-1", api_key=os.getenv("OPENAI_API_KEY"), ) @@ -948,7 +948,7 @@ def test_image_generation_openai(): try: response = litellm.image_generation( prompt="A cute baby sea otter", - model="dall-e-2", + model="gpt-image-1", api_key="my-bad-api-key", ) except Exception: diff --git a/tests/local_testing/test_function_calling.py b/tests/local_testing/test_function_calling.py index 6fd253ee294..3c7e004b62e 100644 --- a/tests/local_testing/test_function_calling.py +++ b/tests/local_testing/test_function_calling.py @@ -268,51 +268,63 @@ def test_aaparallel_function_call_with_anthropic_thinking(model): from litellm.types.utils import ChatCompletionMessageToolCall, Function, Message +_PARALLEL_TOOL_HISTORY_MESSAGES = [ + { + "role": "user", + "content": "What's the weather like in San Francisco, Tokyo, and Paris? - give me 3 responses", + }, + Message( + content="Here are the current weather conditions for San Francisco, Tokyo, and Paris:", + role="assistant", + tool_calls=[ + ChatCompletionMessageToolCall( + index=1, + function=Function( + arguments='{"location": "San Francisco, CA", "unit": "fahrenheit"}', + name="get_current_weather", + ), + id="tooluse_Jj98qn6xQlOP_PiQr-w9iA", + type="function", + ) + ], + function_call=None, + ), + { + "tool_call_id": "tooluse_Jj98qn6xQlOP_PiQr-w9iA", + "role": "tool", + "name": "get_current_weather", + "content": '{"location": "San Francisco", "temperature": "72", "unit": "fahrenheit"}', + }, +] + + @pytest.mark.parametrize( - "model, provider", + "model, messages, expect_unsupported_params_error", [ + # Bedrock Converse still requires modify_params to inject the dummy tool. ( "anthropic.claude-3-sonnet-20240229-v1:0", - "bedrock", + _PARALLEL_TOOL_HISTORY_MESSAGES, + True, ), - ("claude-haiku-4-5-20251001", "anthropic"), - ], -) -@pytest.mark.parametrize( - "messages, expected_error_msg", - [ + # Anthropic Messages API: dummy tool is injected without modify_params. ( + "claude-haiku-4-5-20251001", + _PARALLEL_TOOL_HISTORY_MESSAGES, + False, + ), + ( + "anthropic.claude-3-sonnet-20240229-v1:0", [ { "role": "user", "content": "What's the weather like in San Francisco, Tokyo, and Paris? - give me 3 responses", - }, - Message( - content="Here are the current weather conditions for San Francisco, Tokyo, and Paris:", - role="assistant", - tool_calls=[ - ChatCompletionMessageToolCall( - index=1, - function=Function( - arguments='{"location": "San Francisco, CA", "unit": "fahrenheit"}', - name="get_current_weather", - ), - id="tooluse_Jj98qn6xQlOP_PiQr-w9iA", - type="function", - ) - ], - function_call=None, - ), - { - "tool_call_id": "tooluse_Jj98qn6xQlOP_PiQr-w9iA", - "role": "tool", - "name": "get_current_weather", - "content": '{"location": "San Francisco", "temperature": "72", "unit": "fahrenheit"}', - }, + } ], - True, + False, ), ( + "claude-haiku-4-5-20251001", [ { "role": "user", @@ -324,25 +336,26 @@ from litellm.types.utils import ChatCompletionMessageToolCall, Function, Message ], ) def test_parallel_function_call_anthropic_error_msg( - model, provider, messages, expected_error_msg + model, messages, expect_unsupported_params_error ): """ - Anthropic doesn't support tool calling without `tools=` param specified. + Tool history without an explicit ``tools`` param: - Ensure this error is thrown when `tools=` param is not specified. But tool call requests are made. + - Bedrock **Converse** still raises ``UnsupportedParamsError`` unless + ``litellm.modify_params`` is enabled (dummy tool is only added there). + - **Anthropic** (and Bedrock Invoke via ``AnthropicConfig.transform_request``) + always get a dummy tool so CLIs work with ``modify_params`` left off. Reference Issue: https://github.com/BerriAI/litellm/issues/5747, https://github.com/BerriAI/litellm/issues/5388 """ - # Ensure modify_params is False so UnsupportedParamsError is raised + # Ensure modify_params is False so Bedrock Converse path still raises. # (other tests in this file set it to True and don't reset it) original_modify_params = litellm.modify_params litellm.modify_params = False try: litellm.set_verbose = True - messages = messages - - if expected_error_msg: + if expect_unsupported_params_error: with pytest.raises(litellm.UnsupportedParamsError) as e: second_response = litellm.completion( model=model, diff --git a/tests/local_testing/test_router.py b/tests/local_testing/test_router.py index f7885fb8a03..d6b239c79cc 100644 --- a/tests/local_testing/test_router.py +++ b/tests/local_testing/test_router.py @@ -995,15 +995,15 @@ async def test_aimg_gen_on_router(): try: model_list = [ { - "model_name": "dall-e-3", + "model_name": "gpt-image-1", "litellm_params": { - "model": "dall-e-3", + "model": "gpt-image-1", }, } ] router = Router(model_list=model_list, num_retries=3) response = await router.aimage_generation( - model="dall-e-3", prompt="A cute baby sea otter" + model="gpt-image-1", prompt="A cute baby sea otter" ) print(response) assert len(response.data) > 0 @@ -1030,15 +1030,15 @@ def test_img_gen_on_router(): try: model_list = [ { - "model_name": "dall-e-3", + "model_name": "gpt-image-1", "litellm_params": { - "model": "dall-e-3", + "model": "gpt-image-1", }, } ] router = Router(model_list=model_list) response = router.image_generation( - model="dall-e-3", prompt="A cute baby sea otter" + model="gpt-image-1", prompt="A cute baby sea otter" ) print(response) assert len(response.data) > 0 diff --git a/tests/mcp_tests/test_mcp_server.py b/tests/mcp_tests/test_mcp_server.py index 6af07585796..409f4fad99a 100644 --- a/tests/mcp_tests/test_mcp_server.py +++ b/tests/mcp_tests/test_mcp_server.py @@ -1494,6 +1494,7 @@ async def test_add_update_server_with_alias(): mock_mcp_server.created_at = None mock_mcp_server.updated_at = None mock_mcp_server.instructions = None + mock_mcp_server.approval_status = "active" # Add server to manager await test_manager.add_server(mock_mcp_server) @@ -1551,6 +1552,7 @@ async def test_add_update_server_without_alias(): mock_mcp_server.created_at = None mock_mcp_server.updated_at = None mock_mcp_server.instructions = None + mock_mcp_server.approval_status = "active" # Add server to manager await test_manager.add_server(mock_mcp_server) @@ -1609,6 +1611,7 @@ async def test_add_update_server_fallback_to_server_id(): mock_mcp_server.created_at = None mock_mcp_server.updated_at = None mock_mcp_server.instructions = None + mock_mcp_server.approval_status = "active" # Add server to manager await test_manager.add_server(mock_mcp_server) diff --git a/tests/otel_tests/test_otel.py b/tests/otel_tests/test_otel.py index a0f58dd5b85..9ded859eb9d 100644 --- a/tests/otel_tests/test_otel.py +++ b/tests/otel_tests/test_otel.py @@ -13,7 +13,7 @@ async def generate_key( models=[ "gpt-4", "text-embedding-ada-002", - "dall-e-2", + "gpt-image-1", "fake-openai-endpoint", "mistral-embed", ], diff --git a/tests/proxy_unit_tests/test_deprecated_key_grace_period.py b/tests/proxy_unit_tests/test_deprecated_key_grace_period.py new file mode 100644 index 00000000000..a91ecf95f32 --- /dev/null +++ b/tests/proxy_unit_tests/test_deprecated_key_grace_period.py @@ -0,0 +1,177 @@ +""" +Tests for the grace-period key-rotation feature (MLI-6358). + +Two bugs are confirmed in LiteLLM v1.83.7-stable (upstream BerriAI/litellm#27193). +Both live in _lookup_deprecated_key() (litellm/proxy/utils.py): + + Bug 1 — duplicate cache read (cosmetic, no functional impact on its own): + The cache is fetched twice in a row with no state change between the calls. + + Bug 2 — cache stores a 2-tuple but unpacks as a 3-tuple: + WRITE: _deprecated_key_cache[hash] = (active_token_id, cache_expires_at_ts) + READ: active_token_id, cache_expires_at_ts, revoke_at_ts = cached # ValueError! + The ValueError is NOT inside the try/except, so it propagates up through + PrismaClient.get_data() (which re-raises), killing the auth request. + +The local demo script confirmed +that all three requests with the old key returned HTTP 401 immediately after +rotation even though the grace-period window was still open. +""" + +from datetime import datetime, timedelta, timezone +from typing import Optional +from unittest.mock import AsyncMock, MagicMock + +import pytest + + +# ── helpers ─────────────────────────────────────────────────────────────────── + +HASHED_TOKEN = "165efe575c98fe7e65d98cb2de71b68842049e286afd33a92d3491c340216880" +ACTIVE_TOKEN_HASH = "abcdef1234567890abcdef1234567890abcdef1234567890abcdef1234567890ab" + + +def _make_db(active_token_id: Optional[str]) -> MagicMock: + """Prisma db mock whose deprecated-token find_first returns the given id.""" + row = MagicMock() + row.active_token_id = active_token_id + row.revoke_at = datetime.now(timezone.utc) + timedelta(minutes=5) + db = MagicMock() + db.litellm_deprecatedverificationtoken = MagicMock() + db.litellm_deprecatedverificationtoken.find_first = AsyncMock( + return_value=row if active_token_id else None + ) + return db + + +# ── Bug 1: first call (DB path) ─────────────────────────────────────────────── + + +@pytest.mark.asyncio +async def test_lookup_deprecated_key_db_miss_returns_none(): + """Token absent from deprecated table → returns None without error.""" + from litellm.proxy.utils import _lookup_deprecated_key, _deprecated_key_cache + + _deprecated_key_cache.clear() + db = _make_db(active_token_id=None) + + result = await _lookup_deprecated_key(db=db, hashed_token=HASHED_TOKEN) + + assert result is None + db.litellm_deprecatedverificationtoken.find_first.assert_called_once() + + +@pytest.mark.asyncio +async def test_lookup_deprecated_key_db_hit_returns_active_token_id(): + """ + First call (cold cache): DB row exists within grace window → returns + active_token_id correctly. The DB path itself works; the bug is on the + second call when the result is read back from cache. + """ + from litellm.proxy.utils import _lookup_deprecated_key, _deprecated_key_cache + + _deprecated_key_cache.clear() + db = _make_db(active_token_id=ACTIVE_TOKEN_HASH) + + result = await _lookup_deprecated_key(db=db, hashed_token=HASHED_TOKEN) + + assert result == ACTIVE_TOKEN_HASH + db.litellm_deprecatedverificationtoken.find_first.assert_called_once() + + +# ── Bug 2: second call (cache path) ────────────────────────────────────────── + + +@pytest.mark.asyncio +async def test_lookup_deprecated_key_cache_hit_returns_on_second_call(): + """ + Regression guard: after first call warms the cache with a 3-tuple, + second call should return from cache without raising. + """ + from litellm.proxy.utils import _lookup_deprecated_key, _deprecated_key_cache + + _deprecated_key_cache.clear() + db = _make_db(active_token_id=ACTIVE_TOKEN_HASH) + + # First call: cold cache → DB hit → warms cache with 3-tuple → succeeds + r1 = await _lookup_deprecated_key(db=db, hashed_token=HASHED_TOKEN) + assert r1 == ACTIVE_TOKEN_HASH, "First call (DB path) must succeed" + + # Second call: cache hit path should succeed without DB access + r2 = await _lookup_deprecated_key(db=db, hashed_token=HASHED_TOKEN) + assert r2 == ACTIVE_TOKEN_HASH + + # DB is queried exactly once; the second call never reaches it + assert db.litellm_deprecatedverificationtoken.find_first.call_count == 1 + + +@pytest.mark.asyncio +async def test_lookup_deprecated_key_pre_warmed_cache_returns(): + """ + Pre-warmed 3-tuple cache entry should be served directly from cache. + """ + from litellm.proxy.utils import _lookup_deprecated_key, _deprecated_key_cache + + _deprecated_key_cache.clear() + now_ts = datetime.now(timezone.utc).timestamp() + _deprecated_key_cache[HASHED_TOKEN] = ( + ACTIVE_TOKEN_HASH, + now_ts + 60, + now_ts + 300, + ) + + db = _make_db(active_token_id=ACTIVE_TOKEN_HASH) + + result = await _lookup_deprecated_key(db=db, hashed_token=HASHED_TOKEN) + assert result == ACTIVE_TOKEN_HASH + + db.litellm_deprecatedverificationtoken.find_first.assert_not_called() + + +# ── End-to-end reproduction of the demo ────────────────────────────────────── + + +@pytest.mark.asyncio +async def test_grace_period_three_requests_mirrors_demo(): + """ + Reproduces Step 5 of the local demo script: + + Request 1 (cache miss — DB lookup) → succeeds + Request 2 (cache hit) → succeeds + Request 3 (cache hit) → succeeds + """ + from litellm.proxy.utils import _lookup_deprecated_key, _deprecated_key_cache + + _deprecated_key_cache.clear() + db = _make_db(active_token_id=ACTIVE_TOKEN_HASH) + + r1 = await _lookup_deprecated_key(db=db, hashed_token=HASHED_TOKEN) + assert r1 == ACTIVE_TOKEN_HASH, "Request 1 (DB path) should succeed" + + r2 = await _lookup_deprecated_key(db=db, hashed_token=HASHED_TOKEN) + r3 = await _lookup_deprecated_key(db=db, hashed_token=HASHED_TOKEN) + assert r2 == ACTIVE_TOKEN_HASH + assert r3 == ACTIVE_TOKEN_HASH + + # DB hit only once; requests 2 and 3 never reach it + assert db.litellm_deprecatedverificationtoken.find_first.call_count == 1 + + +@pytest.mark.asyncio +async def test_cache_hit_respects_revoke_at_timestamp(): + """Cache entries should not remain valid past revoke_at even if cache TTL is still live.""" + from litellm.proxy.utils import _lookup_deprecated_key, _deprecated_key_cache + + _deprecated_key_cache.clear() + now_ts = datetime.now(timezone.utc).timestamp() + # cache_expires_at is in the future, but revoke_at is already past. + _deprecated_key_cache[HASHED_TOKEN] = ( + ACTIVE_TOKEN_HASH, + now_ts + 60, + now_ts - 1, + ) + + db = _make_db(active_token_id=None) + result = await _lookup_deprecated_key(db=db, hashed_token=HASHED_TOKEN) + assert result is None + db.litellm_deprecatedverificationtoken.find_first.assert_called_once() diff --git a/tests/proxy_unit_tests/test_proxy_utils.py b/tests/proxy_unit_tests/test_proxy_utils.py index 70232f25c37..ff695d4a57e 100644 --- a/tests/proxy_unit_tests/test_proxy_utils.py +++ b/tests/proxy_unit_tests/test_proxy_utils.py @@ -167,13 +167,9 @@ async def test_add_key_or_team_level_spend_logs_metadata_to_request( print(f"team_sl_metadata: {team_sl_metadata}") mock_request.url.path = "/chat/completions" - # Opt the key into client-supplied tags so request_tags are preserved - # and merged with admin-configured key/team tags. Without this flag, - # request_tags would be stripped by add_litellm_data_to_request. key_metadata = { "tags": key_tags, "spend_logs_metadata": key_sl_metadata, - "allow_client_tags": True, } team_metadata = { "tags": team_tags, @@ -587,12 +583,21 @@ def test_foward_litellm_user_info_to_backend_llm_call(): user_api_key_dict=user_api_key_dict, ) + # All header values must be str/bytes so httpx won't reject them when the + # downstream client builds the request (regression: #27458). + for k, v in data.items(): + assert isinstance(v, (str, bytes)), ( + f"header {k!r} has non-str value {v!r} ({type(v).__name__}); " + "httpx will raise 'Header value must be str or bytes' when the LLM " + "request is built." + ) + expected_data = { "x-litellm-user_api_key_user_id": "test_user_id", "x-litellm-user_api_key_org_id": "test_org_id", "x-litellm-user_api_key_hash": "test_api_key", - "x-litellm-user_api_key_spend": 0.0, - "x-litellm-user_api_key_auth_metadata": {}, + "x-litellm-user_api_key_spend": "0.0", + "x-litellm-user_api_key_auth_metadata": "{}", } assert json.dumps(data, sort_keys=True) == json.dumps(expected_data, sort_keys=True) @@ -900,13 +905,12 @@ async def test_add_litellm_data_to_request_duplicate_tags( mock_request.headers = {} mock_request.state = State() - # Setup key with tags in metadata. Opt into client-supplied tags so the - # request_tags are preserved for the merge under test. + # Setup key with tags in metadata. user_api_key_dict = UserAPIKeyAuth( api_key="test_api_key", user_id="test_user_id", org_id="test_org_id", - metadata={"tags": key_tags, "allow_client_tags": True}, + metadata={"tags": key_tags}, ) # Setup request data with tags diff --git a/tests/router_unit_tests/test_router_helper_utils.py b/tests/router_unit_tests/test_router_helper_utils.py index d028a32db44..9e37863d23c 100644 --- a/tests/router_unit_tests/test_router_helper_utils.py +++ b/tests/router_unit_tests/test_router_helper_utils.py @@ -40,9 +40,9 @@ def model_list(): }, }, { - "model_name": "dall-e-3", + "model_name": "gpt-image-1", "litellm_params": { - "model": "dall-e-3", + "model": "gpt-image-1", "api_key": os.getenv("OPENAI_API_KEY"), }, }, @@ -207,12 +207,12 @@ async def test_image_generation(model_list, sync_mode): router = Router(model_list=model_list) if sync_mode: response = router._image_generation( - model="dall-e-3", + model="gpt-image-1", prompt="A cute baby sea otter", ) else: response = await router._aimage_generation( - model="dall-e-3", + model="gpt-image-1", prompt="A cute baby sea otter", ) @@ -382,7 +382,7 @@ async def test_router_make_call(model_list): ## AIMAGE_GENERATION response = await router.make_call( original_function=router._aimage_generation, - model="dall-e-3", + model="gpt-image-1", prompt="A cute baby sea otter", mock_response="https://example.com/image.png", ) diff --git a/tests/test_health.py b/tests/test_health.py index 15dc2330ffb..cc551fd9380 100644 --- a/tests/test_health.py +++ b/tests/test_health.py @@ -31,7 +31,7 @@ async def generate_key(session): url = "http://0.0.0.0:4000/key/generate" headers = {"Authorization": "Bearer sk-1234", "Content-Type": "application/json"} data = { - "models": ["gpt-4", "text-embedding-ada-002", "dall-e-2"], + "models": ["gpt-4", "text-embedding-ada-002", "gpt-image-1"], "duration": None, } diff --git a/tests/test_keys.py b/tests/test_keys.py index 6d4c24aa80d..e6bda59c2cc 100644 --- a/tests/test_keys.py +++ b/tests/test_keys.py @@ -62,7 +62,7 @@ async def generate_key( i, budget=None, budget_duration=None, - models=["azure-models", "gpt-4", "dall-e-3"], + models=["azure-models", "gpt-4", "gpt-image-1"], max_parallel_requests: Optional[int] = None, user_id: Optional[str] = None, team_id: Optional[str] = None, @@ -235,7 +235,7 @@ async def chat_completion(session, key, model="gpt-4"): pass -async def image_generation(session, key, model="dall-e-3"): +async def image_generation(session, key, model="gpt-image-1"): url = "http://0.0.0.0:4000/v1/images/generations" headers = { "Authorization": f"Bearer {key}", diff --git a/tests/test_litellm/completion_extras/litellm_responses_transformation/test_completion_extras_litellm_responses_transformation_transformation.py b/tests/test_litellm/completion_extras/litellm_responses_transformation/test_completion_extras_litellm_responses_transformation_transformation.py index e40543e01a0..697a9ebc720 100644 --- a/tests/test_litellm/completion_extras/litellm_responses_transformation/test_completion_extras_litellm_responses_transformation_transformation.py +++ b/tests/test_litellm/completion_extras/litellm_responses_transformation/test_completion_extras_litellm_responses_transformation_transformation.py @@ -2098,6 +2098,56 @@ def test_map_optional_params_preserves_reasoning_summary(): assert responses_api_request["reasoning"]["summary"] == "detailed" +def test_map_optional_params_tool_choice_chat_nested_to_responses_api(): + """Chat tool_choice must become Responses ToolChoiceFunction (top-level name).""" + from litellm.completion_extras.litellm_responses_transformation.transformation import ( + LiteLLMResponsesTransformationHandler, + ) + from litellm.types.llms.openai import ResponsesAPIOptionalRequestParams + + handler = LiteLLMResponsesTransformationHandler() + responses_api_request = ResponsesAPIOptionalRequestParams() + handler._map_optional_params_to_responses_api_request( + { + "stream": False, + "tool_choice": { + "type": "function", + "function": {"name": "Echo"}, + }, + }, + responses_api_request, + ) + assert responses_api_request["tool_choice"] == { + "type": "function", + "name": "Echo", + } + + +@pytest.mark.parametrize( + ("tool_choice", "expected"), + [ + ("auto", "auto"), + ("none", "none"), + ( + {"type": "function", "name": "Echo"}, + {"type": "function", "name": "Echo"}, + ), + ( + {"type": "function", "name": "foo", "function": {"name": "bar"}}, + {"type": "function", "name": "foo"}, + ), + ({"type": "required"}, {"type": "required"}), + ], +) +def test_normalize_tool_choice_for_responses_api(tool_choice, expected): + from litellm.completion_extras.litellm_responses_transformation.transformation import ( + LiteLLMResponsesTransformationHandler, + ) + + handler = LiteLLMResponsesTransformationHandler() + assert handler._normalize_tool_choice_for_responses_api(tool_choice) == expected + + def test_convert_chat_completion_file_type_to_input_file(): """ Test that Chat Completion content with type 'file' is correctly mapped diff --git a/tests/test_litellm/enterprise/enterprise_callbacks/send_emails/test_base_email.py b/tests/test_litellm/enterprise/enterprise_callbacks/send_emails/test_base_email.py index af5e2341406..5cabfe5fb7f 100644 --- a/tests/test_litellm/enterprise/enterprise_callbacks/send_emails/test_base_email.py +++ b/tests/test_litellm/enterprise/enterprise_callbacks/send_emails/test_base_email.py @@ -7,7 +7,7 @@ from unittest.mock import patch import pytest from fastapi.testclient import TestClient -from enterprise.litellm_enterprise.enterprise_callbacks.send_emails.base_email import ( +from litellm_enterprise.enterprise_callbacks.send_emails.base_email import ( BaseEmailLogger, ) @@ -30,6 +30,7 @@ def no_invitation_wait(monkeypatch): monkeypatch.setattr(BaseEmailLogger, "_wait_for_invitation_creation", _noop) + @pytest.fixture def base_email_logger(): return BaseEmailLogger() @@ -283,7 +284,10 @@ async def test_send_key_created_email_without_key( mock_send_email.assert_called_once() call_args = mock_send_email.call_args[1] assert "sk-secret-key-456" not in call_args["html_body"] - assert "[Key hidden for security - retrieve from dashboard]" in call_args["html_body"] + assert ( + "[Key hidden for security - retrieve from dashboard]" + in call_args["html_body"] + ) @pytest.mark.asyncio @@ -317,7 +321,10 @@ async def test_send_key_rotated_email_without_key( mock_send_email.assert_called_once() call_args = mock_send_email.call_args[1] assert "sk-secret-rotated-789" not in call_args["html_body"] - assert "[Key hidden for security - retrieve from dashboard]" in call_args["html_body"] + assert ( + "[Key hidden for security - retrieve from dashboard]" + in call_args["html_body"] + ) @pytest.mark.asyncio @@ -371,52 +378,52 @@ async def test_get_invitation_link_creates_new_when_none_exist(base_email_logger """Test that _get_invitation_link creates a new invitation when none exist""" # Mock prisma client with no existing invitation rows mock_prisma = mock.MagicMock() - + # Mock find_many to return empty list (no existing invitations) async def mock_find_many_empty(*args, **kwargs): return [] - + mock_prisma.db.litellm_invitationlink.find_many = mock_find_many_empty - + # Mock the create_invitation_for_user function mock_created_invitation = mock.MagicMock() mock_created_invitation.id = "new-invitation-id" - + with mock.patch("litellm.proxy.proxy_server.prisma_client", mock_prisma): with mock.patch( "litellm.proxy.management_helpers.user_invitation.create_invitation_for_user", - return_value=mock_created_invitation + return_value=mock_created_invitation, ) as mock_create_invitation: # Execute result = await base_email_logger._get_invitation_link( user_id="test-user", base_url="http://test.com" ) - + # Verify that create_invitation_for_user was called mock_create_invitation.assert_called_once() call_args = mock_create_invitation.call_args[1] assert call_args["data"].user_id == "test-user" assert call_args["user_api_key_dict"].user_id == "test-user" - + # Verify the returned link uses the new invitation ID assert result == "http://test.com/ui?invitation_id=new-invitation-id" -@pytest.mark.asyncio +@pytest.mark.asyncio async def test_get_invitation_link_uses_existing_when_available(base_email_logger): """Test that _get_invitation_link uses existing invitation when available""" # Mock prisma client with existing invitation row mock_invitation_row = mock.MagicMock() mock_invitation_row.id = "existing-invitation-id" - + mock_prisma = mock.MagicMock() - + # Mock find_many to return existing invitation async def mock_find_many_existing(*args, **kwargs): return [mock_invitation_row] - + mock_prisma.db.litellm_invitationlink.find_many = mock_find_many_existing - + with mock.patch("litellm.proxy.proxy_server.prisma_client", mock_prisma): with mock.patch( "litellm.proxy.management_helpers.user_invitation.create_invitation_for_user" @@ -425,10 +432,10 @@ async def test_get_invitation_link_uses_existing_when_available(base_email_logge result = await base_email_logger._get_invitation_link( user_id="test-user", base_url="http://test.com" ) - + # Verify that create_invitation_for_user was NOT called mock_create_invitation.assert_not_called() - + # Verify the returned link uses the existing invitation ID assert result == "http://test.com/ui?invitation_id=existing-invitation-id" @@ -438,33 +445,33 @@ async def test_get_invitation_link_creates_new_when_list_is_none(base_email_logg """Test that _get_invitation_link creates a new invitation when invitation_rows is None""" # Mock prisma client to return None mock_prisma = mock.MagicMock() - + # Mock find_many to return None async def mock_find_many_none(*args, **kwargs): return None - + mock_prisma.db.litellm_invitationlink.find_many = mock_find_many_none - + # Mock the create_invitation_for_user function mock_created_invitation = mock.MagicMock() mock_created_invitation.id = "new-invitation-from-none" - + with mock.patch("litellm.proxy.proxy_server.prisma_client", mock_prisma): with mock.patch( "litellm.proxy.management_helpers.user_invitation.create_invitation_for_user", - return_value=mock_created_invitation + return_value=mock_created_invitation, ) as mock_create_invitation: # Execute result = await base_email_logger._get_invitation_link( user_id="test-user", base_url="http://test.com" ) - + # Verify that create_invitation_for_user was called mock_create_invitation.assert_called_once() call_args = mock_create_invitation.call_args[1] assert call_args["data"].user_id == "test-user" assert call_args["user_api_key_dict"].user_id == "test-user" - + # Verify the returned link uses the new invitation ID assert result == "http://test.com/ui?invitation_id=new-invitation-from-none" @@ -495,13 +502,15 @@ async def test_get_email_params_user_invitation( user_email="test@example.com", ) - assert result.logo_url == "https://litellm-listing.s3.amazonaws.com/litellm_logo.png" + assert ( + result.logo_url + == "https://litellm-listing.s3.amazonaws.com/litellm_logo.png" + ) assert result.support_contact == "support@berri.ai" assert result.base_url == "http://test.com/ui?invitation_id=test-id" assert result.recipient_email == "test@example.com" - @pytest.fixture def mock_env_vars(monkeypatch): """Set up test environment variables""" @@ -513,69 +522,74 @@ def mock_env_vars(monkeypatch): monkeypatch.setenv("PROXY_BASE_URL", "http://test.com") monkeypatch.setenv("PROXY_API_URL", "https://test.com") + @pytest.mark.asyncio async def test_get_email_params_custom_templates_premium_user(mock_env_vars): """Test that _get_email_params returns correct values with custom templates for premium users""" # Mock premium_user as True with patch("litellm.proxy.proxy_server.premium_user", True): email_logger = BaseEmailLogger() - + # Test invitation email params invitation_params = await email_logger._get_email_params( email_event=EmailEvent.new_user_invitation, user_id="testid", user_email="test@example.com", - event_message="New User Invitation" + event_message="New User Invitation", ) - + assert invitation_params.subject == "Welcome to Test Company!" assert invitation_params.signature == "Best regards,\nTest Company Team" assert invitation_params.logo_url == "https://test-company.com/logo.png" assert invitation_params.support_contact == "support@test-company.com" assert invitation_params.base_url == "http://test.com" - + # Test key created email params key_params = await email_logger._get_email_params( email_event=EmailEvent.virtual_key_created, user_id="testid", user_email="test@example.com", - event_message="API Key Created" + event_message="API Key Created", ) - + assert key_params.subject == "Your Test Company API Key" assert key_params.signature == "Best regards,\nTest Company Team" + @pytest.mark.asyncio async def test_get_email_params_non_premium_user(mock_env_vars): """Test that non-premium users get default templates even when custom ones are provided""" # Mock premium_user as False with patch("litellm.proxy.proxy_server.premium_user", False): email_logger = BaseEmailLogger() - + # Test invitation email params email_params = await email_logger._get_email_params( email_event=EmailEvent.new_user_invitation, user_email="test@example.com", - event_message="New User Invitation" + event_message="New User Invitation", ) - + # Should use default values even though custom values are set in env assert email_params.subject == "LiteLLM: New User Invitation" assert email_params.signature == EMAIL_FOOTER - assert email_params.logo_url == "https://litellm-listing.s3.amazonaws.com/litellm_logo.png" + assert ( + email_params.logo_url + == "https://litellm-listing.s3.amazonaws.com/litellm_logo.png" + ) assert email_params.support_contact == "support@berri.ai" - # Test key created email params key_params = await email_logger._get_email_params( email_event=EmailEvent.virtual_key_created, user_email="test@example.com", - event_message="API Key Created" + event_message="API Key Created", ) - + assert key_params.subject == "LiteLLM: API Key Created" assert key_params.signature == EMAIL_FOOTER + @pytest.mark.asyncio async def test_get_email_params_default_templates(monkeypatch): """Test that _get_email_params uses default templates when custom ones aren't provided""" @@ -583,28 +597,28 @@ async def test_get_email_params_default_templates(monkeypatch): monkeypatch.delenv("EMAIL_SUBJECT_INVITATION", raising=False) monkeypatch.delenv("EMAIL_SUBJECT_KEY_CREATED", raising=False) monkeypatch.delenv("EMAIL_SIGNATURE", raising=False) - + # Mock premium_user as True (shouldn't matter since no custom values are set) with patch("litellm.proxy.proxy_server.premium_user", True): email_logger = BaseEmailLogger() - + # Test invitation email params with default template invitation_params = await email_logger._get_email_params( email_event=EmailEvent.new_user_invitation, user_email="test@example.com", - event_message="New User Invitation" + event_message="New User Invitation", ) - + assert invitation_params.subject == "LiteLLM: New User Invitation" assert invitation_params.signature == EMAIL_FOOTER - + # Test key created email params with default template key_params = await email_logger._get_email_params( email_event=EmailEvent.virtual_key_created, user_email="test@example.com", - event_message="API Key Created" + event_message="API Key Created", ) - + assert key_params.subject == "LiteLLM: API Key Created" assert key_params.signature == EMAIL_FOOTER @@ -639,7 +653,10 @@ async def test_send_soft_budget_alert_email( call_args = mock_send_email.call_args[1] assert call_args["from_email"] == BaseEmailLogger.DEFAULT_LITELLM_EMAIL assert call_args["to_email"] == ["test@example.com"] - assert call_args["subject"] == "LiteLLM: Soft Budget Crossed - Total Soft Budget: $100.0" + assert ( + call_args["subject"] + == "LiteLLM: Soft Budget Crossed - Total Soft Budget: $100.0" + ) assert "$100.0" in call_args["html_body"] # soft_budget assert "$105.0" in call_args["html_body"] # spend assert "$200.0" in call_args["html_body"] # max_budget @@ -673,13 +690,13 @@ async def test_send_soft_budget_alert_email_no_max_budget( call_args = mock_send_email.call_args[1] assert "$100.0" in call_args["html_body"] # soft_budget assert "$105.0" in call_args["html_body"] # spend - assert "Maximum Budget" not in call_args["html_body"] # max_budget should not be shown + assert ( + "Maximum Budget" not in call_args["html_body"] + ) # max_budget should not be shown @pytest.mark.asyncio -async def test_budget_alerts_soft_budget_crossed( - base_email_logger, mock_send_email -): +async def test_budget_alerts_soft_budget_crossed(base_email_logger, mock_send_email): """Test that budget_alerts sends email when soft budget is crossed""" user_info = CallInfo( user_id="test_user", @@ -708,11 +725,14 @@ async def test_budget_alerts_soft_budget_crossed( mock_send_email.assert_called_once() call_args = mock_send_email.call_args[1] assert call_args["to_email"] == ["test@example.com"] - + # Verify cache was set to prevent duplicate alerts mock_cache.async_set_cache.assert_called_once() cache_call_args = mock_cache.async_set_cache.call_args[1] - assert cache_call_args["key"] == "email_budget_alerts:soft_budget_crossed:test_user" + assert ( + cache_call_args["key"] + == "email_budget_alerts:soft_budget_crossed:test_user" + ) assert cache_call_args["value"] == "SENT" assert cache_call_args["ttl"] == EMAIL_BUDGET_ALERT_TTL @@ -766,9 +786,7 @@ async def test_budget_alerts_soft_budget_duplicate_prevention( @pytest.mark.asyncio -async def test_budget_alerts_no_budgets( - base_email_logger, mock_send_email -): +async def test_budget_alerts_no_budgets(base_email_logger, mock_send_email): """Test that budget_alerts returns early when no budgets are set""" user_info = CallInfo( user_id="test_user", @@ -817,7 +835,10 @@ async def test_budget_alerts_uses_token_for_cache_key( # Verify cache key uses token instead of user_id mock_cache.async_set_cache.assert_called_once() cache_call_args = mock_cache.async_set_cache.call_args[1] - assert cache_call_args["key"] == "email_budget_alerts:soft_budget_crossed:hashed_token_123" + assert ( + cache_call_args["key"] + == "email_budget_alerts:soft_budget_crossed:hashed_token_123" + ) @pytest.mark.asyncio @@ -838,7 +859,9 @@ async def test_get_email_params_soft_budget_crossed( ) # Should use default subject template for soft_budget_crossed - assert result.subject == "LiteLLM: Soft Budget Crossed - Total Soft Budget: $100.0" + assert ( + result.subject == "LiteLLM: Soft Budget Crossed - Total Soft Budget: $100.0" + ) assert result.recipient_email == "test@example.com" assert result.base_url == "http://test.com" @@ -867,16 +890,20 @@ async def test_budget_alerts_max_budget_alert_crossed( "PROXY_BASE_URL": "http://test.com", }, ): - await base_email_logger.budget_alerts(type="max_budget_alert", user_info=user_info) + await base_email_logger.budget_alerts( + type="max_budget_alert", user_info=user_info + ) mock_send_email.assert_called_once() call_args = mock_send_email.call_args[1] assert call_args["to_email"] == ["test@example.com"] assert "Max Budget Alert" in call_args["subject"] - + mock_cache.async_set_cache.assert_called_once() cache_call_args = mock_cache.async_set_cache.call_args[1] - assert cache_call_args["key"] == "email_budget_alerts:max_budget_alert:test_user" + assert ( + cache_call_args["key"] == "email_budget_alerts:max_budget_alert:test_user" + ) assert cache_call_args["value"] == "SENT" assert cache_call_args["ttl"] == EMAIL_BUDGET_ALERT_TTL @@ -906,15 +933,15 @@ async def test_multi_threshold_sends_crossed_thresholds( base_email_logger.internal_usage_cache = mock_cache with mock.patch.dict(os.environ, {"PROXY_BASE_URL": "http://test.com"}): - await base_email_logger.budget_alerts(type="max_budget_alert", user_info=user_info) + await base_email_logger.budget_alerts( + type="max_budget_alert", user_info=user_info + ) # spend=80 crosses 50% ($50) and 75% ($75), but not 100% ($100) assert mock_send_email.call_count == 2 # Check cache keys include threshold percentage - cache_keys = [ - c[1]["key"] for c in mock_cache.async_set_cache.call_args_list - ] + cache_keys = [c[1]["key"] for c in mock_cache.async_set_cache.call_args_list] assert "email_budget_alerts:max_budget_alert:50:hashed_key_1" in cache_keys assert "email_budget_alerts:max_budget_alert:75:hashed_key_1" in cache_keys @@ -949,7 +976,9 @@ async def test_multi_threshold_dedup_cache_prevents_resend( base_email_logger.internal_usage_cache = mock_cache with mock.patch.dict(os.environ, {"PROXY_BASE_URL": "http://test.com"}): - await base_email_logger.budget_alerts(type="max_budget_alert", user_info=user_info) + await base_email_logger.budget_alerts( + type="max_budget_alert", user_info=user_info + ) # Only 75% should fire assert mock_send_email.call_count == 1 @@ -980,7 +1009,9 @@ async def test_multi_threshold_owner_email_auto_included( base_email_logger.internal_usage_cache = mock_cache with mock.patch.dict(os.environ, {"PROXY_BASE_URL": "http://test.com"}): - await base_email_logger.budget_alerts(type="max_budget_alert", user_info=user_info) + await base_email_logger.budget_alerts( + type="max_budget_alert", user_info=user_info + ) mock_send_email.assert_called_once() to_emails = mock_send_email.call_args[1]["to_email"] @@ -1002,7 +1033,7 @@ async def test_multi_threshold_malformed_keys_skipped( event_group=Litellm_EntityType.KEY, max_budget_alert_emails={ "fifty": ["finance@co.com"], # invalid - "50": ["finance@co.com"], # valid, crossed + "50": ["finance@co.com"], # valid, crossed }, ) @@ -1012,7 +1043,9 @@ async def test_multi_threshold_malformed_keys_skipped( base_email_logger.internal_usage_cache = mock_cache with mock.patch.dict(os.environ, {"PROXY_BASE_URL": "http://test.com"}): - await base_email_logger.budget_alerts(type="max_budget_alert", user_info=user_info) + await base_email_logger.budget_alerts( + type="max_budget_alert", user_info=user_info + ) # Only the valid "50" threshold should fire assert mock_send_email.call_count == 1 @@ -1041,7 +1074,9 @@ async def test_multi_threshold_empty_emails_only_owner( base_email_logger.internal_usage_cache = mock_cache with mock.patch.dict(os.environ, {"PROXY_BASE_URL": "http://test.com"}): - await base_email_logger.budget_alerts(type="max_budget_alert", user_info=user_info) + await base_email_logger.budget_alerts( + type="max_budget_alert", user_info=user_info + ) mock_send_email.assert_called_once() to_emails = mock_send_email.call_args[1]["to_email"] @@ -1067,11 +1102,13 @@ async def test_no_map_preserves_old_single_threshold( base_email_logger.internal_usage_cache = mock_cache with mock.patch.dict(os.environ, {"PROXY_BASE_URL": "http://test.com"}): - await base_email_logger.budget_alerts(type="max_budget_alert", user_info=user_info) + await base_email_logger.budget_alerts( + type="max_budget_alert", user_info=user_info + ) mock_send_email.assert_called_once() call_args = mock_send_email.call_args[1] assert call_args["to_email"] == ["test@example.com"] # Old path cache key has no threshold percentage cache_key = mock_cache.async_set_cache.call_args[1]["key"] - assert cache_key == "email_budget_alerts:max_budget_alert:test_user" \ No newline at end of file + assert cache_key == "email_budget_alerts:max_budget_alert:test_user" diff --git a/tests/test_litellm/enterprise/enterprise_callbacks/test_callback_controls.py b/tests/test_litellm/enterprise/enterprise_callbacks/test_callback_controls.py index b160ca5130c..d67dc3cf6bc 100644 --- a/tests/test_litellm/enterprise/enterprise_callbacks/test_callback_controls.py +++ b/tests/test_litellm/enterprise/enterprise_callbacks/test_callback_controls.py @@ -4,7 +4,7 @@ from unittest.mock import MagicMock, patch import pytest -from enterprise.litellm_enterprise.enterprise_callbacks.callback_controls import ( +from litellm_enterprise.enterprise_callbacks.callback_controls import ( EnterpriseCallbackControls, ) from litellm.constants import X_LITELLM_DISABLE_CALLBACKS @@ -18,168 +18,282 @@ from litellm.types.utils import StandardCallbackDynamicParams class TestEnterpriseCallbackControls: - + @pytest.fixture def mock_premium_user(self): """Fixture to mock premium user check as True""" - with patch.object(EnterpriseCallbackControls, '_should_allow_dynamic_callback_disabling', return_value=True): + with patch.object( + EnterpriseCallbackControls, + "_should_allow_dynamic_callback_disabling", + return_value=True, + ): yield - - @pytest.fixture + + @pytest.fixture def mock_non_premium_user(self): """Fixture to mock premium user check as False""" - with patch.object(EnterpriseCallbackControls, '_should_allow_dynamic_callback_disabling', return_value=False): + with patch.object( + EnterpriseCallbackControls, + "_should_allow_dynamic_callback_disabling", + return_value=False, + ): yield @pytest.fixture def mock_request_headers(self): """Fixture to mock get_proxy_server_request_headers""" - with patch('enterprise.litellm_enterprise.enterprise_callbacks.callback_controls.get_proxy_server_request_headers') as mock_headers: + with patch( + "litellm_enterprise.enterprise_callbacks.callback_controls.get_proxy_server_request_headers" + ) as mock_headers: yield mock_headers - def test_callback_disabled_langfuse_string(self, mock_premium_user, mock_request_headers): + def test_callback_disabled_langfuse_string( + self, mock_premium_user, mock_request_headers + ): """Test that 'langfuse' string callback is disabled when specified in headers""" mock_request_headers.return_value = {X_LITELLM_DISABLE_CALLBACKS: "langfuse"} litellm_params = {"proxy_server_request": {"url": "test"}} standard_callback_dynamic_params = StandardCallbackDynamicParams() - - result = EnterpriseCallbackControls.is_callback_disabled_dynamically("langfuse", litellm_params, standard_callback_dynamic_params) + + result = EnterpriseCallbackControls.is_callback_disabled_dynamically( + "langfuse", litellm_params, standard_callback_dynamic_params + ) assert result is True - def test_callback_disabled_langfuse_customlogger(self, mock_premium_user, mock_request_headers): + def test_callback_disabled_langfuse_customlogger( + self, mock_premium_user, mock_request_headers + ): """Test that LangfusePromptManagement CustomLogger instance is disabled when 'langfuse' specified in headers""" mock_request_headers.return_value = {X_LITELLM_DISABLE_CALLBACKS: "langfuse"} litellm_params = {"proxy_server_request": {"url": "test"}} standard_callback_dynamic_params = StandardCallbackDynamicParams() - + langfuse_logger = LangfusePromptManagement() - result = EnterpriseCallbackControls.is_callback_disabled_dynamically(langfuse_logger, litellm_params, standard_callback_dynamic_params) + result = EnterpriseCallbackControls.is_callback_disabled_dynamically( + langfuse_logger, litellm_params, standard_callback_dynamic_params + ) assert result is True - def test_callback_disabled_s3_v2_string(self, mock_premium_user, mock_request_headers): + def test_callback_disabled_s3_v2_string( + self, mock_premium_user, mock_request_headers + ): """Test that 's3_v2' string callback is disabled when specified in headers""" mock_request_headers.return_value = {X_LITELLM_DISABLE_CALLBACKS: "s3_v2"} litellm_params = {"proxy_server_request": {"url": "test"}} standard_callback_dynamic_params = StandardCallbackDynamicParams() - - result = EnterpriseCallbackControls.is_callback_disabled_dynamically("s3_v2", litellm_params, standard_callback_dynamic_params) + + result = EnterpriseCallbackControls.is_callback_disabled_dynamically( + "s3_v2", litellm_params, standard_callback_dynamic_params + ) assert result is True - def test_callback_disabled_s3_v2_customlogger(self, mock_premium_user, mock_request_headers): + def test_callback_disabled_s3_v2_customlogger( + self, mock_premium_user, mock_request_headers + ): """Test that S3Logger CustomLogger instance is disabled when 's3_v2' specified in headers""" mock_request_headers.return_value = {X_LITELLM_DISABLE_CALLBACKS: "s3_v2"} litellm_params = {"proxy_server_request": {"url": "test"}} standard_callback_dynamic_params = StandardCallbackDynamicParams() - + # Mock S3Logger to avoid async initialization issues - with patch('litellm.integrations.s3_v2.S3Logger.__init__', return_value=None): + with patch("litellm.integrations.s3_v2.S3Logger.__init__", return_value=None): s3_logger = S3Logger() - result = EnterpriseCallbackControls.is_callback_disabled_dynamically(s3_logger, litellm_params, standard_callback_dynamic_params) + result = EnterpriseCallbackControls.is_callback_disabled_dynamically( + s3_logger, litellm_params, standard_callback_dynamic_params + ) assert result is True - def test_callback_disabled_datadog_string(self, mock_premium_user, mock_request_headers): + def test_callback_disabled_datadog_string( + self, mock_premium_user, mock_request_headers + ): """Test that 'datadog' string callback is disabled when specified in headers""" mock_request_headers.return_value = {X_LITELLM_DISABLE_CALLBACKS: "datadog"} litellm_params = {"proxy_server_request": {"url": "test"}} standard_callback_dynamic_params = StandardCallbackDynamicParams() - - result = EnterpriseCallbackControls.is_callback_disabled_dynamically("datadog", litellm_params, standard_callback_dynamic_params) + + result = EnterpriseCallbackControls.is_callback_disabled_dynamically( + "datadog", litellm_params, standard_callback_dynamic_params + ) assert result is True - def test_callback_disabled_datadog_customlogger(self, mock_premium_user, mock_request_headers): + def test_callback_disabled_datadog_customlogger( + self, mock_premium_user, mock_request_headers + ): """Test that DataDogLogger CustomLogger instance is disabled when 'datadog' specified in headers""" mock_request_headers.return_value = {X_LITELLM_DISABLE_CALLBACKS: "datadog"} litellm_params = {"proxy_server_request": {"url": "test"}} standard_callback_dynamic_params = StandardCallbackDynamicParams() - + # Mock DataDogLogger to avoid async initialization issues - with patch('litellm.integrations.datadog.datadog.DataDogLogger.__init__', return_value=None): + with patch( + "litellm.integrations.datadog.datadog.DataDogLogger.__init__", + return_value=None, + ): datadog_logger = DataDogLogger() - result = EnterpriseCallbackControls.is_callback_disabled_dynamically(datadog_logger, litellm_params, standard_callback_dynamic_params) + result = EnterpriseCallbackControls.is_callback_disabled_dynamically( + datadog_logger, litellm_params, standard_callback_dynamic_params + ) assert result is True def test_multiple_callbacks_disabled(self, mock_premium_user, mock_request_headers): """Test that multiple callbacks can be disabled with comma-separated list""" - mock_request_headers.return_value = {X_LITELLM_DISABLE_CALLBACKS: "langfuse,datadog,s3_v2"} + mock_request_headers.return_value = { + X_LITELLM_DISABLE_CALLBACKS: "langfuse,datadog,s3_v2" + } litellm_params = {"proxy_server_request": {"url": "test"}} standard_callback_dynamic_params = StandardCallbackDynamicParams() - - # Test each callback is disabled - assert EnterpriseCallbackControls.is_callback_disabled_dynamically("langfuse", litellm_params, standard_callback_dynamic_params) is True - assert EnterpriseCallbackControls.is_callback_disabled_dynamically("datadog", litellm_params, standard_callback_dynamic_params) is True - assert EnterpriseCallbackControls.is_callback_disabled_dynamically("s3_v2", litellm_params, standard_callback_dynamic_params) is True - - # Test non-disabled callback is not disabled - assert EnterpriseCallbackControls.is_callback_disabled_dynamically("prometheus", litellm_params, standard_callback_dynamic_params) is False - def test_callback_not_disabled_when_not_in_list(self, mock_premium_user, mock_request_headers): + # Test each callback is disabled + assert ( + EnterpriseCallbackControls.is_callback_disabled_dynamically( + "langfuse", litellm_params, standard_callback_dynamic_params + ) + is True + ) + assert ( + EnterpriseCallbackControls.is_callback_disabled_dynamically( + "datadog", litellm_params, standard_callback_dynamic_params + ) + is True + ) + assert ( + EnterpriseCallbackControls.is_callback_disabled_dynamically( + "s3_v2", litellm_params, standard_callback_dynamic_params + ) + is True + ) + + # Test non-disabled callback is not disabled + assert ( + EnterpriseCallbackControls.is_callback_disabled_dynamically( + "prometheus", litellm_params, standard_callback_dynamic_params + ) + is False + ) + + def test_callback_not_disabled_when_not_in_list( + self, mock_premium_user, mock_request_headers + ): """Test that callbacks not in the disabled list are not disabled""" mock_request_headers.return_value = {X_LITELLM_DISABLE_CALLBACKS: "langfuse"} litellm_params = {"proxy_server_request": {"url": "test"}} standard_callback_dynamic_params = StandardCallbackDynamicParams() - - result = EnterpriseCallbackControls.is_callback_disabled_dynamically("datadog", litellm_params, standard_callback_dynamic_params) + + result = EnterpriseCallbackControls.is_callback_disabled_dynamically( + "datadog", litellm_params, standard_callback_dynamic_params + ) assert result is False - def test_callback_not_disabled_when_no_header(self, mock_premium_user, mock_request_headers): + def test_callback_not_disabled_when_no_header( + self, mock_premium_user, mock_request_headers + ): """Test that callbacks are not disabled when the header is not present""" mock_request_headers.return_value = {} litellm_params = {"proxy_server_request": {"url": "test"}} standard_callback_dynamic_params = StandardCallbackDynamicParams() - - result = EnterpriseCallbackControls.is_callback_disabled_dynamically("langfuse", litellm_params, standard_callback_dynamic_params) + + result = EnterpriseCallbackControls.is_callback_disabled_dynamically( + "langfuse", litellm_params, standard_callback_dynamic_params + ) assert result is False - def test_callback_not_disabled_when_header_none(self, mock_premium_user, mock_request_headers): + def test_callback_not_disabled_when_header_none( + self, mock_premium_user, mock_request_headers + ): """Test that callbacks are not disabled when the header value is None""" mock_request_headers.return_value = {X_LITELLM_DISABLE_CALLBACKS: None} litellm_params = {"proxy_server_request": {"url": "test"}} standard_callback_dynamic_params = StandardCallbackDynamicParams() - - result = EnterpriseCallbackControls.is_callback_disabled_dynamically("langfuse", litellm_params, standard_callback_dynamic_params) + + result = EnterpriseCallbackControls.is_callback_disabled_dynamically( + "langfuse", litellm_params, standard_callback_dynamic_params + ) assert result is False - def test_non_premium_user_cannot_disable_callbacks(self, mock_non_premium_user, mock_request_headers): + def test_non_premium_user_cannot_disable_callbacks( + self, mock_non_premium_user, mock_request_headers + ): """Test that non-premium users cannot disable callbacks even with the header""" mock_request_headers.return_value = {X_LITELLM_DISABLE_CALLBACKS: "langfuse"} litellm_params = {"proxy_server_request": {"url": "test"}} standard_callback_dynamic_params = StandardCallbackDynamicParams() - - result = EnterpriseCallbackControls.is_callback_disabled_dynamically("langfuse", litellm_params, standard_callback_dynamic_params) + + result = EnterpriseCallbackControls.is_callback_disabled_dynamically( + "langfuse", litellm_params, standard_callback_dynamic_params + ) assert result is False - def test_case_insensitive_callback_matching(self, mock_premium_user, mock_request_headers): + def test_case_insensitive_callback_matching( + self, mock_premium_user, mock_request_headers + ): """Test that callback matching is case insensitive""" - mock_request_headers.return_value = {X_LITELLM_DISABLE_CALLBACKS: "LANGFUSE,DataDog"} + mock_request_headers.return_value = { + X_LITELLM_DISABLE_CALLBACKS: "LANGFUSE,DataDog" + } litellm_params = {"proxy_server_request": {"url": "test"}} standard_callback_dynamic_params = StandardCallbackDynamicParams() - + # Test lowercase callbacks are disabled - assert EnterpriseCallbackControls.is_callback_disabled_dynamically("langfuse", litellm_params, standard_callback_dynamic_params) is True - assert EnterpriseCallbackControls.is_callback_disabled_dynamically("datadog", litellm_params, standard_callback_dynamic_params) is True + assert ( + EnterpriseCallbackControls.is_callback_disabled_dynamically( + "langfuse", litellm_params, standard_callback_dynamic_params + ) + is True + ) + assert ( + EnterpriseCallbackControls.is_callback_disabled_dynamically( + "datadog", litellm_params, standard_callback_dynamic_params + ) + is True + ) - def test_whitespace_handling_in_disabled_callbacks(self, mock_premium_user, mock_request_headers): + def test_whitespace_handling_in_disabled_callbacks( + self, mock_premium_user, mock_request_headers + ): """Test that whitespace around callback names is handled correctly""" - mock_request_headers.return_value = {X_LITELLM_DISABLE_CALLBACKS: " langfuse , datadog , s3_v2 "} + mock_request_headers.return_value = { + X_LITELLM_DISABLE_CALLBACKS: " langfuse , datadog , s3_v2 " + } litellm_params = {"proxy_server_request": {"url": "test"}} standard_callback_dynamic_params = StandardCallbackDynamicParams() - - assert EnterpriseCallbackControls.is_callback_disabled_dynamically("langfuse", litellm_params, standard_callback_dynamic_params) is True - assert EnterpriseCallbackControls.is_callback_disabled_dynamically("datadog", litellm_params, standard_callback_dynamic_params) is True - assert EnterpriseCallbackControls.is_callback_disabled_dynamically("s3_v2", litellm_params, standard_callback_dynamic_params) is True - def test_custom_logger_not_in_registry(self, mock_premium_user, mock_request_headers): + assert ( + EnterpriseCallbackControls.is_callback_disabled_dynamically( + "langfuse", litellm_params, standard_callback_dynamic_params + ) + is True + ) + assert ( + EnterpriseCallbackControls.is_callback_disabled_dynamically( + "datadog", litellm_params, standard_callback_dynamic_params + ) + is True + ) + assert ( + EnterpriseCallbackControls.is_callback_disabled_dynamically( + "s3_v2", litellm_params, standard_callback_dynamic_params + ) + is True + ) + + def test_custom_logger_not_in_registry( + self, mock_premium_user, mock_request_headers + ): """Test that CustomLogger not in registry is not disabled""" - mock_request_headers.return_value = {X_LITELLM_DISABLE_CALLBACKS: "unknown_logger"} + mock_request_headers.return_value = { + X_LITELLM_DISABLE_CALLBACKS: "unknown_logger" + } litellm_params = {"proxy_server_request": {"url": "test"}} standard_callback_dynamic_params = StandardCallbackDynamicParams() - + # Create a mock CustomLogger that's not in the registry class UnknownLogger(CustomLogger): pass - + unknown_logger = UnknownLogger() - result = EnterpriseCallbackControls.is_callback_disabled_dynamically(unknown_logger, litellm_params, standard_callback_dynamic_params) + result = EnterpriseCallbackControls.is_callback_disabled_dynamically( + unknown_logger, litellm_params, standard_callback_dynamic_params + ) assert result is False def test_exception_handling(self, mock_premium_user, mock_request_headers): @@ -188,32 +302,64 @@ class TestEnterpriseCallbackControls: mock_request_headers.side_effect = Exception("Test exception") litellm_params = {"proxy_server_request": {"url": "test"}} standard_callback_dynamic_params = StandardCallbackDynamicParams() - - result = EnterpriseCallbackControls.is_callback_disabled_dynamically("langfuse", litellm_params, standard_callback_dynamic_params) + + result = EnterpriseCallbackControls.is_callback_disabled_dynamically( + "langfuse", litellm_params, standard_callback_dynamic_params + ) assert result is False - def test_callback_disabled_via_request_body_langfuse(self, mock_premium_user, mock_request_headers): + def test_callback_disabled_via_request_body_langfuse( + self, mock_premium_user, mock_request_headers + ): """Test that callbacks can be disabled via request body litellm_disabled_callbacks""" mock_request_headers.return_value = {} # No headers litellm_params = {"proxy_server_request": {"url": "test"}} - standard_callback_dynamic_params = StandardCallbackDynamicParams(litellm_disabled_callbacks=["langfuse"]) - - result = EnterpriseCallbackControls.is_callback_disabled_dynamically("langfuse", litellm_params, standard_callback_dynamic_params) + standard_callback_dynamic_params = StandardCallbackDynamicParams( + litellm_disabled_callbacks=["langfuse"] + ) + + result = EnterpriseCallbackControls.is_callback_disabled_dynamically( + "langfuse", litellm_params, standard_callback_dynamic_params + ) assert result is True - def test_callback_disabled_via_request_body_multiple(self, mock_premium_user, mock_request_headers): + def test_callback_disabled_via_request_body_multiple( + self, mock_premium_user, mock_request_headers + ): """Test that multiple callbacks can be disabled via request body""" mock_request_headers.return_value = {} # No headers litellm_params = {"proxy_server_request": {"url": "test"}} - standard_callback_dynamic_params = StandardCallbackDynamicParams(litellm_disabled_callbacks=["langfuse", "datadog", "s3_v2"]) - + standard_callback_dynamic_params = StandardCallbackDynamicParams( + litellm_disabled_callbacks=["langfuse", "datadog", "s3_v2"] + ) + # Test each callback is disabled - assert EnterpriseCallbackControls.is_callback_disabled_dynamically("langfuse", litellm_params, standard_callback_dynamic_params) is True - assert EnterpriseCallbackControls.is_callback_disabled_dynamically("datadog", litellm_params, standard_callback_dynamic_params) is True - assert EnterpriseCallbackControls.is_callback_disabled_dynamically("s3_v2", litellm_params, standard_callback_dynamic_params) is True - + assert ( + EnterpriseCallbackControls.is_callback_disabled_dynamically( + "langfuse", litellm_params, standard_callback_dynamic_params + ) + is True + ) + assert ( + EnterpriseCallbackControls.is_callback_disabled_dynamically( + "datadog", litellm_params, standard_callback_dynamic_params + ) + is True + ) + assert ( + EnterpriseCallbackControls.is_callback_disabled_dynamically( + "s3_v2", litellm_params, standard_callback_dynamic_params + ) + is True + ) + # Test non-disabled callback is not disabled - assert EnterpriseCallbackControls.is_callback_disabled_dynamically("prometheus", litellm_params, standard_callback_dynamic_params) is False + assert ( + EnterpriseCallbackControls.is_callback_disabled_dynamically( + "prometheus", litellm_params, standard_callback_dynamic_params + ) + is False + ) def test_admin_can_disable_dynamic_callback_disabling(self, mock_request_headers): """ @@ -223,11 +369,13 @@ class TestEnterpriseCallbackControls: mock_request_headers.return_value = {X_LITELLM_DISABLE_CALLBACKS: "langfuse"} litellm_params = {"proxy_server_request": {"url": "test"}} standard_callback_dynamic_params = StandardCallbackDynamicParams() - + # Mock litellm.allow_dynamic_callback_disabling set to False - with patch('litellm.allow_dynamic_callback_disabling', False): - with patch('litellm.proxy.proxy_server.premium_user', True): - result = EnterpriseCallbackControls.is_callback_disabled_dynamically("langfuse", litellm_params, standard_callback_dynamic_params) + with patch("litellm.allow_dynamic_callback_disabling", False): + with patch("litellm.proxy.proxy_server.premium_user", True): + result = EnterpriseCallbackControls.is_callback_disabled_dynamically( + "langfuse", litellm_params, standard_callback_dynamic_params + ) assert result is False def test_admin_can_enable_dynamic_callback_disabling(self, mock_request_headers): @@ -238,14 +386,18 @@ class TestEnterpriseCallbackControls: mock_request_headers.return_value = {X_LITELLM_DISABLE_CALLBACKS: "langfuse"} litellm_params = {"proxy_server_request": {"url": "test"}} standard_callback_dynamic_params = StandardCallbackDynamicParams() - + # Mock litellm.allow_dynamic_callback_disabling set to True - with patch('litellm.allow_dynamic_callback_disabling', True): - with patch('litellm.proxy.proxy_server.premium_user', True): - result = EnterpriseCallbackControls.is_callback_disabled_dynamically("langfuse", litellm_params, standard_callback_dynamic_params) + with patch("litellm.allow_dynamic_callback_disabling", True): + with patch("litellm.proxy.proxy_server.premium_user", True): + result = EnterpriseCallbackControls.is_callback_disabled_dynamically( + "langfuse", litellm_params, standard_callback_dynamic_params + ) assert result is True - def test_default_admin_setting_allows_dynamic_callback_disabling(self, mock_request_headers): + def test_default_admin_setting_allows_dynamic_callback_disabling( + self, mock_request_headers + ): """ Test that when allow_dynamic_callback_disabling is not set, it defaults to True and allows dynamic callback disabling for premium users @@ -253,8 +405,10 @@ class TestEnterpriseCallbackControls: mock_request_headers.return_value = {X_LITELLM_DISABLE_CALLBACKS: "langfuse"} litellm_params = {"proxy_server_request": {"url": "test"}} standard_callback_dynamic_params = StandardCallbackDynamicParams() - + # litellm.allow_dynamic_callback_disabling should default to True - with patch('litellm.proxy.proxy_server.premium_user', True): - result = EnterpriseCallbackControls.is_callback_disabled_dynamically("langfuse", litellm_params, standard_callback_dynamic_params) + with patch("litellm.proxy.proxy_server.premium_user", True): + result = EnterpriseCallbackControls.is_callback_disabled_dynamically( + "langfuse", litellm_params, standard_callback_dynamic_params + ) assert result is True diff --git a/tests/test_litellm/integrations/test_custom_guardrail.py b/tests/test_litellm/integrations/test_custom_guardrail.py index d09c4ac2c38..a881044dc18 100644 --- a/tests/test_litellm/integrations/test_custom_guardrail.py +++ b/tests/test_litellm/integrations/test_custom_guardrail.py @@ -929,6 +929,91 @@ class TestEventTypeLogging: assert len(logged_info) == 1 assert logged_info[0]["guardrail_mode"] == GuardrailEventHooks.post_call + @pytest.mark.asyncio + async def test_log_guardrail_information_skips_auto_record_if_function_already_recorded( + self, + ): + """When a wrapped guardrail function records its own entry directly + (e.g. block_code_execution.apply_guardrail records a rich + ``[detections...]`` payload), the decorator must NOT also append its + own ``"allow"``/raw-response entry — otherwise every backend + (OTEL spans, Datadog, Langfuse, spend logs) double-records one + logical guardrail invocation.""" + from litellm.integrations.custom_guardrail import log_guardrail_information + from litellm.types.guardrails import GuardrailEventHooks + + class TestGuardrail(CustomGuardrail): + def __init__(self): + super().__init__( + guardrail_name="block-code", + event_hook=GuardrailEventHooks.pre_call, + ) + + @log_guardrail_information + async def apply_guardrail(self, inputs, request_data, **kwargs): + self.add_standard_logging_guardrail_information_to_request_data( + guardrail_json_response=[{"action_taken": "block"}], + request_data=request_data, + guardrail_status="success", + event_type=GuardrailEventHooks.pre_call, + ) + return inputs + + guardrail = TestGuardrail() + request_data = {"metadata": {}} + + await guardrail.apply_guardrail( + inputs={"texts": ["x"]}, request_data=request_data + ) + + logged_info = request_data["metadata"]["standard_logging_guardrail_information"] + assert len(logged_info) == 1, ( + f"Decorator must not double-record when the wrapped function " + f"already appended its own entry; got {len(logged_info)} entries" + ) + assert logged_info[0]["guardrail_response"] == [{"action_taken": "block"}] + + @pytest.mark.asyncio + async def test_log_guardrail_information_skips_auto_record_on_exception_if_function_already_recorded( + self, + ): + """Same as above on the failure path: if the wrapped function + appended an entry in its ``finally`` block before re-raising, the + decorator must just re-raise without auto-recording on top.""" + from litellm.integrations.custom_guardrail import log_guardrail_information + from litellm.types.guardrails import GuardrailEventHooks + + class TestGuardrail(CustomGuardrail): + def __init__(self): + super().__init__( + guardrail_name="block-code", + event_hook=GuardrailEventHooks.pre_call, + ) + + @log_guardrail_information + async def apply_guardrail(self, inputs, request_data, **kwargs): + try: + raise ValueError("blocked") + finally: + self.add_standard_logging_guardrail_information_to_request_data( + guardrail_json_response=[{"action_taken": "block"}], + request_data=request_data, + guardrail_status="guardrail_intervened", + event_type=GuardrailEventHooks.pre_call, + ) + + guardrail = TestGuardrail() + request_data = {"metadata": {}} + + with pytest.raises(ValueError, match="blocked"): + await guardrail.apply_guardrail( + inputs={"texts": ["x"]}, request_data=request_data + ) + + logged_info = request_data["metadata"]["standard_logging_guardrail_information"] + assert len(logged_info) == 1 + assert logged_info[0]["guardrail_status"] == "guardrail_intervened" + def test_add_standard_logging_falls_back_to_event_hook_when_event_type_is_none( self, ): @@ -1086,9 +1171,12 @@ class TestCustomGuardrailSpendLogMatchRedaction: ][0]["match"] == "[REDACTED]" ) - assert raw["assessments"][0]["sensitiveInformationPolicy"]["piiEntities"][0][ - "match" - ] == "GG" + assert ( + raw["assessments"][0]["sensitiveInformationPolicy"]["piiEntities"][0][ + "match" + ] + == "GG" + ) def test_add_standard_logging_redacts_regex_field(self): cg = CustomGuardrail(guardrail_name="test-rail") diff --git a/tests/test_litellm/integrations/test_opentelemetry.py b/tests/test_litellm/integrations/test_opentelemetry.py index bea718dfea0..3af4a21a60c 100644 --- a/tests/test_litellm/integrations/test_opentelemetry.py +++ b/tests/test_litellm/integrations/test_opentelemetry.py @@ -1982,11 +1982,13 @@ class TestOpenTelemetryExternalSpan(unittest.TestCase): - raw_gen_ai_request spans are children of litellm_request spans - Correct hierarchy: external_parent → litellm_request → raw_gen_ai_request """ + import copy + # Initialize OpenTelemetry otel = OpenTelemetry(tracer_provider=self.tracer_provider) - # Load test data - kwargs, response_obj = self._create_test_kwargs_and_response() + kwargs1, response_obj = self._create_test_kwargs_and_response() + kwargs2 = copy.deepcopy(kwargs1) # Create external parent span using our test TracerProvider tracer = self.tracer_provider.get_tracer(__name__) @@ -1999,7 +2001,7 @@ class TestOpenTelemetryExternalSpan(unittest.TestCase): # First completion call start_time = datetime.utcnow() end_time = start_time + timedelta(seconds=1) - otel._handle_success(kwargs, response_obj, start_time, end_time) + otel._handle_success(kwargs1, response_obj, start_time, end_time) # Verify parent span is still recording self.assertTrue( @@ -2010,7 +2012,7 @@ class TestOpenTelemetryExternalSpan(unittest.TestCase): # Second completion call start_time2 = end_time end_time2 = start_time2 + timedelta(seconds=1) - otel._handle_success(kwargs, response_obj, start_time2, end_time2) + otel._handle_success(kwargs2, response_obj, start_time2, end_time2) # Verify parent span is still recording self.assertTrue( @@ -3159,3 +3161,1121 @@ class TestResponseIdFallback(unittest.TestCase): otel.set_attributes(mock_span, kwargs, response_obj) mock_span.set_attribute.assert_any_call("litellm.call_id", call_id) + + +class TestOpenTelemetryResponsesAPI(unittest.TestCase): + """ + Tests for Responses API (/v1/responses) OTel span attributes. + + The Responses API uses ``output`` (list of output items) instead of + ``choices``, ``instructions`` instead of ``system_instructions``, and + ``status`` instead of per-choice ``finish_reason``. + + See: https://github.com/BerriAI/litellm/issues/25840 + """ + + def _base_kwargs(self, **overrides): + """Return minimal kwargs for set_attributes with Responses API defaults.""" + kwargs = { + "model": "gpt-4o", + "messages": [{"role": "user", "content": "What is 2+2?"}], + "optional_params": {}, + "litellm_params": {"custom_llm_provider": "openai"}, + "standard_logging_object": { + "id": "resp_abc123", + "call_type": "responses", + "metadata": {}, + }, + } + kwargs.update(overrides) + return kwargs + + def _responses_api_response_obj(self, text="The answer is 4.", status="completed"): + """Return a dict mimicking ResponsesAPIResponse with a message output.""" + return { + "id": "resp_abc123", + "model": "gpt-4o", + "status": status, + "output": [ + { + "type": "message", + "role": "assistant", + "content": [ + { + "type": "output_text", + "text": text, + } + ], + } + ], + "usage": { + "prompt_tokens": 10, + "completion_tokens": 20, + "total_tokens": 30, + }, + } + + def _get_attr(self, mock_span, attr_name): + """Extract the value set for a specific attribute name, or None.""" + calls = [ + call + for call in mock_span.set_attribute.call_args_list + if call[0][0] == attr_name + ] + if not calls: + return None + return calls[0][0][1] + + # ------------------------------------------------------------------ + # gen_ai.output.messages + # ------------------------------------------------------------------ + + def test_output_messages_populated_for_responses_api(self): + """gen_ai.output.messages must be set when response has output items.""" + otel = OpenTelemetry() + mock_span = MagicMock() + + kwargs = self._base_kwargs() + response_obj = self._responses_api_response_obj(text="The answer is 4.") + + otel.set_attributes(span=mock_span, kwargs=kwargs, response_obj=response_obj) + + raw = self._get_attr(mock_span, "gen_ai.output.messages") + self.assertIsNotNone(raw, "gen_ai.output.messages should be set") + + parsed = json.loads(raw) + self.assertIsInstance(parsed, list) + self.assertEqual(len(parsed), 1) + self.assertEqual(parsed[0]["role"], "assistant") + self.assertIn("parts", parsed[0]) + self.assertEqual(parsed[0]["parts"][0]["type"], "text") + self.assertEqual(parsed[0]["parts"][0]["content"], "The answer is 4.") + + def test_output_messages_with_multiple_content_items(self): + """Multiple output_text items in a single message should all appear as parts.""" + otel = OpenTelemetry() + mock_span = MagicMock() + + response_obj = { + "id": "resp_multi", + "model": "gpt-4o", + "status": "completed", + "output": [ + { + "type": "message", + "role": "assistant", + "content": [ + {"type": "output_text", "text": "First paragraph."}, + {"type": "output_text", "text": "Second paragraph."}, + ], + } + ], + } + + otel.set_attributes( + span=mock_span, kwargs=self._base_kwargs(), response_obj=response_obj + ) + + raw = self._get_attr(mock_span, "gen_ai.output.messages") + parsed = json.loads(raw) + self.assertEqual(len(parsed[0]["parts"]), 2) + self.assertEqual(parsed[0]["parts"][0]["content"], "First paragraph.") + self.assertEqual(parsed[0]["parts"][1]["content"], "Second paragraph.") + + def test_output_messages_with_function_call(self): + """function_call output items should appear as tool_call parts.""" + otel = OpenTelemetry() + mock_span = MagicMock() + + response_obj = { + "id": "resp_fc", + "model": "gpt-4o", + "status": "completed", + "output": [ + { + "type": "function_call", + "name": "get_weather", + "call_id": "call_abc", + "arguments": '{"location": "SF"}', + } + ], + } + + otel.set_attributes( + span=mock_span, kwargs=self._base_kwargs(), response_obj=response_obj + ) + + raw = self._get_attr(mock_span, "gen_ai.output.messages") + parsed = json.loads(raw) + self.assertEqual(len(parsed), 1) + self.assertEqual(parsed[0]["role"], "assistant") + self.assertEqual(parsed[0]["parts"][0]["type"], "tool_call") + self.assertEqual(parsed[0]["parts"][0]["name"], "get_weather") + self.assertEqual(parsed[0]["parts"][0]["arguments"], '{"location": "SF"}') + self.assertEqual(parsed[0]["parts"][0]["id"], "call_abc") + + def test_output_messages_mixed_message_and_function_call(self): + """Mixed output with both message and function_call items.""" + otel = OpenTelemetry() + mock_span = MagicMock() + + response_obj = { + "id": "resp_mixed", + "model": "gpt-4o", + "status": "completed", + "output": [ + { + "type": "message", + "role": "assistant", + "content": [ + {"type": "output_text", "text": "Let me check the weather."}, + ], + }, + { + "type": "function_call", + "name": "get_weather", + "call_id": "call_xyz", + "arguments": "{}", + }, + ], + } + + otel.set_attributes( + span=mock_span, kwargs=self._base_kwargs(), response_obj=response_obj + ) + + raw = self._get_attr(mock_span, "gen_ai.output.messages") + parsed = json.loads(raw) + self.assertEqual(len(parsed), 2) + self.assertEqual(parsed[0]["role"], "assistant") + self.assertEqual(parsed[0]["parts"][0]["content"], "Let me check the weather.") + self.assertEqual(parsed[1]["parts"][0]["type"], "tool_call") + + def test_output_messages_empty_text_skipped(self): + """Output items with empty text should not produce parts.""" + otel = OpenTelemetry() + mock_span = MagicMock() + + response_obj = { + "id": "resp_empty", + "model": "gpt-4o", + "status": "completed", + "output": [ + { + "type": "message", + "role": "assistant", + "content": [{"type": "output_text", "text": ""}], + } + ], + } + + otel.set_attributes( + span=mock_span, kwargs=self._base_kwargs(), response_obj=response_obj + ) + + # No output messages should be set since the text is empty + raw = self._get_attr(mock_span, "gen_ai.output.messages") + self.assertIsNone( + raw, "Empty output text should not produce gen_ai.output.messages" + ) + + def test_choices_still_work(self): + """Existing choices-based responses must still work (no regression).""" + otel = OpenTelemetry() + mock_span = MagicMock() + + kwargs = { + "model": "gpt-4", + "messages": [{"role": "user", "content": "Hello"}], + "optional_params": {}, + "litellm_params": {"custom_llm_provider": "openai"}, + "standard_logging_object": { + "id": "test-id", + "call_type": "completion", + "metadata": {}, + }, + } + + response_obj = { + "id": "chatcmpl-123", + "model": "gpt-4", + "choices": [ + { + "finish_reason": "stop", + "message": {"role": "assistant", "content": "Hi there!"}, + } + ], + "usage": {"prompt_tokens": 5, "completion_tokens": 10, "total_tokens": 15}, + } + + otel.set_attributes(span=mock_span, kwargs=kwargs, response_obj=response_obj) + + raw = self._get_attr(mock_span, "gen_ai.output.messages") + parsed = json.loads(raw) + self.assertEqual(parsed[0]["parts"][0]["content"], "Hi there!") + self.assertEqual(parsed[0]["finish_reason"], "stop") + + # ------------------------------------------------------------------ + # gen_ai.response.finish_reasons + # ------------------------------------------------------------------ + + def test_finish_reasons_from_status(self): + """gen_ai.response.finish_reasons should use ResponsesAPIResponse.status.""" + otel = OpenTelemetry() + mock_span = MagicMock() + + otel.set_attributes( + span=mock_span, + kwargs=self._base_kwargs(), + response_obj=self._responses_api_response_obj(status="completed"), + ) + + raw = self._get_attr(mock_span, "gen_ai.response.finish_reasons") + self.assertIsNotNone(raw) + parsed = json.loads(raw) + self.assertEqual(parsed, ["completed"]) + + def test_finish_reasons_incomplete_status(self): + """Non-completed status values should still be captured.""" + otel = OpenTelemetry() + mock_span = MagicMock() + + otel.set_attributes( + span=mock_span, + kwargs=self._base_kwargs(), + response_obj=self._responses_api_response_obj(status="incomplete"), + ) + + raw = self._get_attr(mock_span, "gen_ai.response.finish_reasons") + parsed = json.loads(raw) + self.assertEqual(parsed, ["incomplete"]) + + # ------------------------------------------------------------------ + # gen_ai.system_instructions + # ------------------------------------------------------------------ + + def test_system_instructions_from_instructions_kwarg(self): + """Responses API passes system prompt as kwargs['instructions'].""" + otel = OpenTelemetry() + mock_span = MagicMock() + + kwargs = self._base_kwargs(instructions="You are a math tutor.") + response_obj = self._responses_api_response_obj() + + otel.set_attributes(span=mock_span, kwargs=kwargs, response_obj=response_obj) + + value = self._get_attr(mock_span, "gen_ai.system_instructions") + self.assertEqual(value, "You are a math tutor.") + + def test_system_instructions_from_system_kwarg(self): + """Anthropic Messages API passes system prompt as kwargs['system'].""" + otel = OpenTelemetry() + mock_span = MagicMock() + + kwargs = self._base_kwargs(system="You are a helpful assistant.") + response_obj = self._responses_api_response_obj() + + otel.set_attributes(span=mock_span, kwargs=kwargs, response_obj=response_obj) + + value = self._get_attr(mock_span, "gen_ai.system_instructions") + self.assertEqual(value, "You are a helpful assistant.") + + def test_system_instructions_from_system_instructions_kwarg(self): + """Vertex AI Gemini path uses kwargs['system_instructions'] (existing behavior).""" + otel = OpenTelemetry() + mock_span = MagicMock() + + kwargs = self._base_kwargs( + system_instructions=[{"role": "system", "content": "Be concise."}] + ) + response_obj = self._responses_api_response_obj() + + otel.set_attributes(span=mock_span, kwargs=kwargs, response_obj=response_obj) + + raw = self._get_attr(mock_span, "gen_ai.system_instructions") + self.assertIsNotNone(raw) + parsed = json.loads(raw) + self.assertEqual(parsed[0]["role"], "system") + self.assertIn("parts", parsed[0]) + + def test_system_instructions_precedence(self): + """system_instructions takes precedence over instructions and system.""" + otel = OpenTelemetry() + mock_span = MagicMock() + + kwargs = self._base_kwargs( + system_instructions="From Gemini", + instructions="From Responses API", + system="From Anthropic", + ) + response_obj = self._responses_api_response_obj() + + otel.set_attributes(span=mock_span, kwargs=kwargs, response_obj=response_obj) + + # system_instructions (string) should win — it's checked first + value = self._get_attr(mock_span, "gen_ai.system_instructions") + self.assertEqual(value, "From Gemini") + + def test_no_system_instructions_when_absent(self): + """No gen_ai.system_instructions attr when none of the kwargs are set.""" + otel = OpenTelemetry() + mock_span = MagicMock() + + kwargs = self._base_kwargs() + response_obj = self._responses_api_response_obj() + + otel.set_attributes(span=mock_span, kwargs=kwargs, response_obj=response_obj) + + value = self._get_attr(mock_span, "gen_ai.system_instructions") + self.assertIsNone(value) + + +class TestTransformResponsesAPIOutput(unittest.TestCase): + """ + Unit tests for _transform_responses_api_output_to_otel. + """ + + def test_message_with_output_text(self): + otel = OpenTelemetry() + output = [ + { + "type": "message", + "role": "assistant", + "content": [{"type": "output_text", "text": "Hello!"}], + } + ] + result = otel._transform_responses_api_output_to_otel(output) + self.assertEqual(len(result), 1) + self.assertEqual(result[0]["role"], "assistant") + self.assertEqual(result[0]["parts"], [{"type": "text", "content": "Hello!"}]) + + def test_function_call_item(self): + otel = OpenTelemetry() + output = [ + { + "type": "function_call", + "name": "search", + "call_id": "call_1", + "arguments": '{"q": "test"}', + } + ] + result = otel._transform_responses_api_output_to_otel(output) + self.assertEqual(len(result), 1) + self.assertEqual(result[0]["role"], "assistant") + self.assertEqual(result[0]["parts"][0]["type"], "tool_call") + self.assertEqual(result[0]["parts"][0]["name"], "search") + self.assertEqual(result[0]["parts"][0]["id"], "call_1") + + def test_function_call_without_call_id(self): + otel = OpenTelemetry() + output = [ + { + "type": "function_call", + "name": "search", + "arguments": "{}", + } + ] + result = otel._transform_responses_api_output_to_otel(output) + self.assertNotIn("id", result[0]["parts"][0]) + + def test_unknown_type_ignored(self): + otel = OpenTelemetry() + output = [{"type": "reasoning", "content": "thinking..."}] + result = otel._transform_responses_api_output_to_otel(output) + self.assertEqual(result, []) + + def test_non_dict_items_ignored(self): + otel = OpenTelemetry() + output = ["not a dict", 42, None] + result = otel._transform_responses_api_output_to_otel(output) + self.assertEqual(result, []) + + def test_empty_output(self): + otel = OpenTelemetry() + result = otel._transform_responses_api_output_to_otel([]) + self.assertEqual(result, []) + + def test_message_with_empty_text_skipped(self): + otel = OpenTelemetry() + output = [ + { + "type": "message", + "role": "assistant", + "content": [{"type": "output_text", "text": ""}], + } + ] + result = otel._transform_responses_api_output_to_otel(output) + self.assertEqual(result, []) + + def test_message_default_role(self): + """Messages without explicit role should default to assistant.""" + otel = OpenTelemetry() + output = [ + { + "type": "message", + "content": [{"type": "output_text", "text": "Hi"}], + } + ] + result = otel._transform_responses_api_output_to_otel(output) + self.assertEqual(result[0]["role"], "assistant") + + def test_pydantic_like_objects_accepted(self): + """Items with .get() but not isinstance(dict) should be accepted.""" + + class FakeOutputItem: + """Mimics BaseLiteLLMOpenAIResponseObject duck-typing.""" + + def __init__(self, data): + self._data = data + + def get(self, key, default=None): + return self._data.get(key, default) + + class FakeContent: + def __init__(self, data): + self._data = data + + def get(self, key, default=None): + return self._data.get(key, default) + + otel = OpenTelemetry() + output = [ + FakeOutputItem( + { + "type": "message", + "role": "assistant", + "content": [ + FakeContent({"type": "output_text", "text": "Pydantic works!"}), + ], + } + ) + ] + result = otel._transform_responses_api_output_to_otel(output) + self.assertEqual(len(result), 1) + self.assertEqual(result[0]["parts"][0]["content"], "Pydantic works!") + + +class TestSystemInstructionsPrecedence(unittest.TestCase): + """Tests for the is-not-None precedence in system_instructions coalescing.""" + + def _get_attr(self, mock_span, attr_name): + calls = [ + call + for call in mock_span.set_attribute.call_args_list + if call[0][0] == attr_name + ] + if not calls: + return None + return calls[0][0][1] + + def _base_kwargs(self, **overrides): + kwargs = { + "model": "gpt-4o", + "messages": [{"role": "user", "content": "Hi"}], + "optional_params": {}, + "litellm_params": {"custom_llm_provider": "openai"}, + "standard_logging_object": { + "id": "test-id", + "call_type": "responses", + "metadata": {}, + }, + } + kwargs.update(overrides) + return kwargs + + def test_empty_list_system_instructions_does_not_fallthrough(self): + """An empty list for system_instructions should NOT fall through to instructions.""" + otel = OpenTelemetry() + mock_span = MagicMock() + + kwargs = self._base_kwargs( + system_instructions=[], + instructions="Should not be used", + ) + response_obj = {"id": "r1", "model": "gpt-4o"} + + otel.set_attributes(span=mock_span, kwargs=kwargs, response_obj=response_obj) + + # system_instructions is [] (falsy but not None), so it wins. + # Since it's an empty list, no attribute should be set (nothing to transform). + value = self._get_attr(mock_span, "gen_ai.system_instructions") + # The empty list is truthy for `is not None` but produces empty + # transformed output — the attribute should NOT contain "Should not be used". + if value is not None: + self.assertNotIn("Should not be used", str(value)) + + +class TestResponsesAPIToolCallSpanAttributes(unittest.TestCase): + """Tests for per-tool-call span attributes on Responses API function_call items.""" + + def _base_kwargs(self): + return { + "model": "gpt-4o", + "messages": [{"role": "user", "content": "What is the weather?"}], + "optional_params": {}, + "litellm_params": {"custom_llm_provider": "openai"}, + "standard_logging_object": { + "id": "resp_tc", + "call_type": "responses", + "metadata": {}, + }, + } + + def test_per_tool_call_attributes_emitted(self): + """function_call output items should produce per-tool-call span attributes.""" + otel = OpenTelemetry() + mock_span = MagicMock() + + response_obj = { + "id": "resp_tc", + "model": "gpt-4o", + "status": "completed", + "output": [ + { + "type": "function_call", + "name": "get_weather", + "call_id": "call_abc", + "arguments": '{"location": "SF"}', + } + ], + } + + otel.set_attributes( + span=mock_span, kwargs=self._base_kwargs(), response_obj=response_obj + ) + + # Verify per-tool-call attributes were set (same format as choices branch) + attr_names = [call[0][0] for call in mock_span.set_attribute.call_args_list] + tool_call_attrs = [a for a in attr_names if "function_call" in a] + self.assertTrue( + len(tool_call_attrs) > 0, "Per-tool-call span attributes should be emitted" + ) + + # Verify the name attribute specifically + mock_span.set_attribute.assert_any_call( + "gen_ai.completion.0.function_call.name", "get_weather" + ) + mock_span.set_attribute.assert_any_call( + "gen_ai.completion.0.function_call.arguments", '{"location": "SF"}' + ) + + def test_multiple_tool_calls_indexed(self): + """Multiple function_call items should be indexed correctly.""" + otel = OpenTelemetry() + mock_span = MagicMock() + + response_obj = { + "id": "resp_tc2", + "model": "gpt-4o", + "status": "completed", + "output": [ + { + "type": "function_call", + "name": "get_weather", + "call_id": "call_1", + "arguments": "{}", + }, + { + "type": "function_call", + "name": "get_time", + "call_id": "call_2", + "arguments": "{}", + }, + ], + } + + otel.set_attributes( + span=mock_span, kwargs=self._base_kwargs(), response_obj=response_obj + ) + + mock_span.set_attribute.assert_any_call( + "gen_ai.completion.0.function_call.name", "get_weather" + ) + mock_span.set_attribute.assert_any_call( + "gen_ai.completion.1.function_call.name", "get_time" + ) + + +class TestOpenTelemetryProxyParentSpanChildEmission(unittest.TestCase): + """When metadata includes litellm_parent_otel_span (the proxy + span), the primary litellm_request span must still be created as a child + so the trace hierarchy is complete.""" + + def _build_kwargs(self, parent_span): + return { + "model": "gpt-4", + "messages": [{"role": "user", "content": "Hello"}], + "optional_params": {}, + "litellm_params": { + "custom_llm_provider": "openai", + "metadata": {"litellm_parent_otel_span": parent_span}, + }, + "standard_logging_object": { + "id": "test-id", + "call_type": "completion", + "metadata": {}, + "hidden_params": {}, + }, + } + + def test_get_span_context_returns_none_parent_for_metadata_span(self): + """_get_span_context Priority 1 must return (ctx, None) — never the + parent span object — so callers always create litellm_request as a + child of ctx.""" + tracer_provider = TracerProvider() + otel = OpenTelemetry(tracer_provider=tracer_provider) + otel.tracer = tracer_provider.get_tracer(__name__) + + parent_span = otel.tracer.start_span("some_external_parent") + kwargs = self._build_kwargs(parent_span) + + ctx, returned_parent = otel._get_span_context(kwargs) + + self.assertIsNotNone(ctx, "ctx should carry the parent for child spans") + self.assertIsNone( + returned_parent, + "parent_span return slot must be None so callers create litellm_request", + ) + parent_span.end() + + def test_litellm_request_emitted_as_child_of_proxy_parent_span(self): + """End-to-end: proxy span in metadata should yield exactly one + litellm_request span parented to it, with no extra root span.""" + from litellm.integrations.opentelemetry import ( + LITELLM_PROXY_REQUEST_SPAN_NAME, + LITELLM_REQUEST_SPAN_NAME, + ) + + span_exporter = InMemorySpanExporter() + tracer_provider = TracerProvider() + tracer_provider.add_span_processor(SimpleSpanProcessor(span_exporter)) + + otel = OpenTelemetry(tracer_provider=tracer_provider) + otel.tracer = tracer_provider.get_tracer(__name__) + + proxy_span = otel.tracer.start_span(LITELLM_PROXY_REQUEST_SPAN_NAME) + kwargs = self._build_kwargs(proxy_span) + + start = datetime.utcnow() + end = start + timedelta(seconds=1) + otel._handle_success(kwargs, response_obj=None, start_time=start, end_time=end) + + spans = span_exporter.get_finished_spans() + litellm_spans = [s for s in spans if s.name == LITELLM_REQUEST_SPAN_NAME] + proxy_spans = [s for s in spans if s.name == LITELLM_PROXY_REQUEST_SPAN_NAME] + + self.assertEqual( + len(litellm_spans), 1, "Exactly one litellm_request span must be emitted" + ) + self.assertEqual( + len(proxy_spans), 1, "Proxy span should be closed exactly once" + ) + + litellm_span = litellm_spans[0] + self.assertIsNotNone( + litellm_span.parent, "litellm_request must have a parent (not root)" + ) + self.assertEqual( + litellm_span.parent.span_id, + proxy_spans[0].context.span_id, + "litellm_request must be a child of the proxy span", + ) + + def test_end_proxy_span_from_kwargs_closes_recording_proxy_span(self): + from litellm.integrations.opentelemetry import LITELLM_PROXY_REQUEST_SPAN_NAME + + span_exporter = InMemorySpanExporter() + tracer_provider = TracerProvider() + tracer_provider.add_span_processor(SimpleSpanProcessor(span_exporter)) + + otel = OpenTelemetry(tracer_provider=tracer_provider) + otel.tracer = tracer_provider.get_tracer(__name__) + + proxy_span = otel.tracer.start_span(LITELLM_PROXY_REQUEST_SPAN_NAME) + self.assertTrue(proxy_span.is_recording()) + + kwargs = { + "litellm_params": { + "metadata": {"litellm_parent_otel_span": proxy_span}, + } + } + otel._end_proxy_span_from_kwargs(kwargs, end_time=datetime.utcnow()) + + self.assertFalse( + proxy_span.is_recording(), "Proxy span should be closed by helper" + ) + + def test_end_proxy_span_from_kwargs_does_not_close_external_span(self): + """Spans not named LITELLM_PROXY_REQUEST_SPAN_NAME must not be closed — + they may belong to external owners (Langfuse SDK, user code, etc.).""" + tracer_provider = TracerProvider() + otel = OpenTelemetry(tracer_provider=tracer_provider) + otel.tracer = tracer_provider.get_tracer(__name__) + + external = otel.tracer.start_span("external_caller_span") + kwargs = { + "litellm_params": { + "metadata": {"litellm_parent_otel_span": external}, + } + } + otel._end_proxy_span_from_kwargs(kwargs, end_time=datetime.utcnow()) + + self.assertTrue( + external.is_recording(), + "External (non-proxy) parent span must not be closed by LiteLLM", + ) + external.end() + + +class TestOpenTelemetryProxyLoggerFirstRegisteredWins(unittest.TestCase): + """open_telemetry_logger ownership must not be silently + overwritten by later handlers. First-registered wins.""" + + def _install_fake_proxy_server(self): + """Install a stub ``litellm.proxy.proxy_server`` so the test does + not depend on optional proxy dependencies (websockets, etc.). + Returns (fake_module, cleanup_fn).""" + import importlib + import types + + proxy_pkg_name = "litellm.proxy" + proxy_server_name = "litellm.proxy.proxy_server" + + previous_pkg = sys.modules.get(proxy_pkg_name) + previous_mod = sys.modules.get(proxy_server_name) + + # Ensure litellm.proxy package object exists + if previous_pkg is None: + try: + pkg = importlib.import_module(proxy_pkg_name) + except Exception: + pkg = types.ModuleType(proxy_pkg_name) + sys.modules[proxy_pkg_name] = pkg + else: + pkg = previous_pkg + + fake = types.ModuleType(proxy_server_name) + fake.open_telemetry_logger = None + sys.modules[proxy_server_name] = fake + setattr(pkg, "proxy_server", fake) + + def cleanup(): + if previous_mod is not None: + sys.modules[proxy_server_name] = previous_mod + setattr(pkg, "proxy_server", previous_mod) + else: + sys.modules.pop(proxy_server_name, None) + if hasattr(pkg, "proxy_server"): + try: + delattr(pkg, "proxy_server") + except AttributeError: + pass + if previous_pkg is None and proxy_pkg_name in sys.modules: + if sys.modules[proxy_pkg_name] is pkg: + # Leave it in place — removing it would break later imports + pass + + return fake, cleanup + + def test_first_registered_handler_keeps_ownership(self): + fake_proxy_server, cleanup = self._install_fake_proxy_server() + try: + first = OpenTelemetry() + self.assertIs( + fake_proxy_server.open_telemetry_logger, + first, + "First registered handler must own the proxy logger slot", + ) + + second = OpenTelemetry() + self.assertIs( + fake_proxy_server.open_telemetry_logger, + first, + "Second handler must NOT overwrite the first-registered logger", + ) + self.assertIsNot( + fake_proxy_server.open_telemetry_logger, + second, + "Proxy logger must remain pointed at the first handler", + ) + finally: + cleanup() + + def test_assignment_happens_when_slot_is_unset(self): + fake_proxy_server, cleanup = self._install_fake_proxy_server() + try: + handler = OpenTelemetry() + self.assertIs(fake_proxy_server.open_telemetry_logger, handler) + finally: + cleanup() + + def test_existing_non_none_logger_is_preserved(self): + """If ``proxy_server.open_telemetry_logger`` is already set to any + non-None value, a new handler must not overwrite it — even if the + existing value is not an OpenTelemetry instance.""" + fake_proxy_server, cleanup = self._install_fake_proxy_server() + try: + sentinel = object() + fake_proxy_server.open_telemetry_logger = sentinel + OpenTelemetry() + self.assertIs( + fake_proxy_server.open_telemetry_logger, + sentinel, + "Existing non-None logger must not be overwritten", + ) + finally: + cleanup() + + +class TestOpenTelemetrySpanDedupe(unittest.TestCase): + """``_emit_once`` is a per-request, per-handler idempotency guard that + prevents duplicate span emission across two distinct dual-fire patterns: + + 1. Handler-level: streaming triggers both sync and async success/failure + callbacks for one request — the second call would otherwise produce a + duplicate ``litellm_request`` span. + 2. Payload-driven entry-level: ``_create_guardrail_span`` is invoked + from three lifecycle points (post-call hook, success, failure) and + re-reads a mutating list — the same logical guardrail invocation + would otherwise be emitted up to three times. + """ + + def _build_kwargs(self, *, exception: bool = False): + kwargs = { + "model": "gpt-4", + "messages": [{"role": "user", "content": "Hello"}], + "optional_params": {}, + "litellm_params": { + "custom_llm_provider": "openai", + "metadata": {}, + }, + "standard_logging_object": { + "id": "test-id", + "call_type": "completion", + "metadata": {}, + "hidden_params": {}, + }, + } + if exception: + kwargs["exception"] = Exception("test error") + return kwargs + + def test_emit_once_first_call_returns_true_then_false(self): + otel = OpenTelemetry() + kwargs = self._build_kwargs() + self.assertTrue(otel._emit_once(kwargs, "success")) + self.assertFalse( + otel._emit_once(kwargs, "success"), + "Repeat call for same handler+scope+kwargs must be deduped", + ) + + def test_emit_once_distinct_scopes_dont_collide(self): + """Different scopes on the same handler+kwargs must each emit once.""" + otel = OpenTelemetry() + kwargs = self._build_kwargs() + self.assertTrue(otel._emit_once(kwargs, "success")) + self.assertTrue( + otel._emit_once(kwargs, "failure"), + "Failure scope must be independent of success scope", + ) + self.assertTrue( + otel._emit_once(kwargs, "guardrail", "block-code", 1.0, "pre_call"), + "Guardrail entry scope must be independent of success/failure scopes", + ) + self.assertFalse(otel._emit_once(kwargs, "success")) + self.assertFalse(otel._emit_once(kwargs, "failure")) + self.assertFalse( + otel._emit_once(kwargs, "guardrail", "block-code", 1.0, "pre_call") + ) + + def test_emit_once_separate_handlers_each_emit(self): + """Two distinct handler instances must each emit exactly once for the + same scope.""" + otel_a = OpenTelemetry() + otel_b = OpenTelemetry() + kwargs = self._build_kwargs() + self.assertTrue(otel_a._emit_once(kwargs, "success")) + self.assertTrue( + otel_b._emit_once(kwargs, "success"), + "Different handler instance must not share the first handler's marker", + ) + self.assertFalse(otel_a._emit_once(kwargs, "success")) + self.assertFalse(otel_b._emit_once(kwargs, "success")) + + def test_emit_once_handles_missing_metadata(self): + otel = OpenTelemetry() + kwargs = {"litellm_params": {}} + self.assertTrue(otel._emit_once(kwargs, "success")) + self.assertFalse(otel._emit_once(kwargs, "success")) + + def test_emit_once_handles_missing_litellm_params(self): + otel = OpenTelemetry() + kwargs = {} + self.assertTrue(otel._emit_once(kwargs, "success")) + self.assertFalse(otel._emit_once(kwargs, "success")) + + def test_handle_success_emits_single_litellm_request_span_on_double_call(self): + """Sync + async callback paths firing for the same kwargs must + result in exactly one litellm_request span.""" + from litellm.integrations.opentelemetry import LITELLM_REQUEST_SPAN_NAME + + span_exporter = InMemorySpanExporter() + tracer_provider = TracerProvider() + tracer_provider.add_span_processor(SimpleSpanProcessor(span_exporter)) + + otel = OpenTelemetry(tracer_provider=tracer_provider) + otel.tracer = tracer_provider.get_tracer(__name__) + + kwargs = self._build_kwargs() + start = datetime.utcnow() + end = start + timedelta(seconds=1) + + otel._handle_success(kwargs, response_obj=None, start_time=start, end_time=end) + otel._handle_success(kwargs, response_obj=None, start_time=start, end_time=end) + + spans = span_exporter.get_finished_spans() + litellm_spans = [s for s in spans if s.name == LITELLM_REQUEST_SPAN_NAME] + self.assertEqual( + len(litellm_spans), + 1, + f"Exactly one litellm_request span expected, got {len(litellm_spans)}", + ) + + def test_handle_success_dedupe_skip_still_closes_proxy_span(self): + """When the success path is short-circuited as a duplicate, the + proxy span must still be closed so traces don't leak.""" + from litellm.integrations.opentelemetry import LITELLM_PROXY_REQUEST_SPAN_NAME + + span_exporter = InMemorySpanExporter() + tracer_provider = TracerProvider() + tracer_provider.add_span_processor(SimpleSpanProcessor(span_exporter)) + + otel = OpenTelemetry(tracer_provider=tracer_provider) + otel.tracer = tracer_provider.get_tracer(__name__) + + proxy_span = otel.tracer.start_span(LITELLM_PROXY_REQUEST_SPAN_NAME) + kwargs = self._build_kwargs() + kwargs["litellm_params"]["metadata"]["litellm_parent_otel_span"] = proxy_span + + otel._emit_once(kwargs, "success") # pre-mark to force dedupe-skip branch + self.assertTrue(proxy_span.is_recording()) + + start = datetime.utcnow() + end = start + timedelta(seconds=1) + otel._handle_success(kwargs, response_obj=None, start_time=start, end_time=end) + + self.assertFalse( + proxy_span.is_recording(), + "Dedupe-skip path must still close the proxy span via _end_proxy_span_from_kwargs", + ) + + def test_handle_failure_emits_single_error_span_on_double_call(self): + """Sync + async failure callback paths firing for the same kwargs + must result in exactly one ERROR litellm_request span.""" + from opentelemetry.trace import StatusCode + + from litellm.integrations.opentelemetry import LITELLM_REQUEST_SPAN_NAME + + span_exporter = InMemorySpanExporter() + tracer_provider = TracerProvider() + tracer_provider.add_span_processor(SimpleSpanProcessor(span_exporter)) + + otel = OpenTelemetry(tracer_provider=tracer_provider) + otel.tracer = tracer_provider.get_tracer(__name__) + + kwargs = self._build_kwargs(exception=True) + start = datetime.utcnow() + end = start + timedelta(seconds=1) + + otel._handle_failure(kwargs, response_obj=None, start_time=start, end_time=end) + otel._handle_failure(kwargs, response_obj=None, start_time=start, end_time=end) + + spans = span_exporter.get_finished_spans() + litellm_spans = [s for s in spans if s.name == LITELLM_REQUEST_SPAN_NAME] + self.assertEqual( + len(litellm_spans), + 1, + f"Exactly one litellm_request ERROR span expected, got {len(litellm_spans)}", + ) + self.assertEqual(litellm_spans[0].status.status_code, StatusCode.ERROR) + + def test_create_guardrail_span_dedupes_across_lifecycle_entrypoints(self): + """``_create_guardrail_span`` is called from post-call-success hook, + ``_handle_success``, and ``_handle_failure``. A single guardrail + invocation (identified by ``(name, start_time, mode)``) must produce + exactly one span per handler even when the underlying entry is + mutated between calls (e.g. proxy enriches ``guardrail_response``).""" + span_exporter = InMemorySpanExporter() + tracer_provider = TracerProvider() + tracer_provider.add_span_processor(SimpleSpanProcessor(span_exporter)) + + otel = OpenTelemetry(tracer_provider=tracer_provider) + otel.tracer = tracer_provider.get_tracer(__name__) + + kwargs = self._build_kwargs() + guardrail_entry = { + "guardrail_name": "block-code", + "guardrail_mode": "pre_call", + "guardrail_response": "allow", + "start_time": 1.0, + "end_time": 2.0, + } + kwargs["standard_logging_object"]["guardrail_information"] = [guardrail_entry] + + otel._create_guardrail_span(kwargs=kwargs, context=None) + # Mutate the entry between calls — proxy enriches the response. + guardrail_entry["guardrail_response"] = [ + {"type": "code_block", "action_taken": "block"} + ] + guardrail_entry["end_time"] = 3.0 + otel._create_guardrail_span(kwargs=kwargs, context=None) + otel._create_guardrail_span(kwargs=kwargs, context=None) + + guardrail_spans = [ + s for s in span_exporter.get_finished_spans() if s.name == "guardrail" + ] + self.assertEqual( + len(guardrail_spans), + 1, + f"Exactly one guardrail span expected per logical invocation, got {len(guardrail_spans)}", + ) + + def test_create_guardrail_span_emits_distinct_entries(self): + """Two real guardrail invocations (different ``start_time``) must + each emit a span — entry-level dedupe must not collapse them.""" + span_exporter = InMemorySpanExporter() + tracer_provider = TracerProvider() + tracer_provider.add_span_processor(SimpleSpanProcessor(span_exporter)) + + otel = OpenTelemetry(tracer_provider=tracer_provider) + otel.tracer = tracer_provider.get_tracer(__name__) + + kwargs = self._build_kwargs() + kwargs["standard_logging_object"]["guardrail_information"] = [ + { + "guardrail_name": "block-code", + "guardrail_mode": "pre_call", + "guardrail_response": "allow", + "start_time": 1.0, + "end_time": 2.0, + }, + { + "guardrail_name": "block-code", + "guardrail_mode": "post_call", + "guardrail_response": "allow", + "start_time": 5.0, + "end_time": 6.0, + }, + ] + + otel._create_guardrail_span(kwargs=kwargs, context=None) + otel._create_guardrail_span(kwargs=kwargs, context=None) + + guardrail_spans = [ + s for s in span_exporter.get_finished_spans() if s.name == "guardrail" + ] + self.assertEqual( + len(guardrail_spans), + 2, + f"Two distinct guardrail invocations expected, got {len(guardrail_spans)}", + ) diff --git a/tests/test_litellm/litellm_core_utils/prompt_templates/test_litellm_core_utils_prompt_templates_common_utils.py b/tests/test_litellm/litellm_core_utils/prompt_templates/test_litellm_core_utils_prompt_templates_common_utils.py index 99dbfd19f33..2aaeaefce54 100644 --- a/tests/test_litellm/litellm_core_utils/prompt_templates/test_litellm_core_utils_prompt_templates_common_utils.py +++ b/tests/test_litellm/litellm_core_utils/prompt_templates/test_litellm_core_utils_prompt_templates_common_utils.py @@ -492,3 +492,57 @@ def test_update_messages_with_model_file_ids_tolerates_non_dict_content_items(): update_messages_with_model_file_ids(messages_token_ids_batch, "model-A", {}) == messages_token_ids_batch ) + + +class TestExtractFileDataBareStr: + """``extract_file_data`` used to accept bare ``str`` values and ``open()`` + them server-side. When the helper runs inside a proxy request handler the + value is attacker-controlled, so the open() call was a textbook arbitrary + local file read. Lock the new contract: bare ``str`` is rejected with a + clear migration message; ``pathlib.Path`` is still accepted for SDK + ergonomics because it's a Python-level type that HTTP form values can't + fabricate.""" + + def test_rejects_bare_str(self): + from litellm.litellm_core_utils.prompt_templates.common_utils import ( + extract_file_data, + ) + + with pytest.raises(ValueError, match="does not accept bare str inputs"): + extract_file_data("/etc/passwd") + + def test_accepts_pathlib_path(self): + import tempfile + from pathlib import Path + + from litellm.litellm_core_utils.prompt_templates.common_utils import ( + extract_file_data, + ) + + content = b"hello" + with tempfile.NamedTemporaryFile(suffix=".txt", delete=False) as f: + f.write(content) + tmp_path = Path(f.name) + + try: + extracted = extract_file_data(tmp_path) + assert extracted.get("content") == content + finally: + os.unlink(str(tmp_path)) + + def test_accepts_bytes(self): + from litellm.litellm_core_utils.prompt_templates.common_utils import ( + extract_file_data, + ) + + extracted = extract_file_data(b"raw bytes content") + assert extracted.get("content") == b"raw bytes content" + + def test_accepts_tuple(self): + from litellm.litellm_core_utils.prompt_templates.common_utils import ( + extract_file_data, + ) + + extracted = extract_file_data(("foo.txt", b"raw bytes content")) + assert extracted.get("filename") == "foo.txt" + assert extracted.get("content") == b"raw bytes content" diff --git a/tests/test_litellm/litellm_core_utils/test_audio_utils.py b/tests/test_litellm/litellm_core_utils/test_audio_utils.py index d9df9059d9f..b2645c8f2ce 100644 --- a/tests/test_litellm/litellm_core_utils/test_audio_utils.py +++ b/tests/test_litellm/litellm_core_utils/test_audio_utils.py @@ -42,8 +42,10 @@ class TestProcessAudioFile: assert result.filename == "audio.wav" assert result.content_type == "audio/wav" - def test_process_file_path_input(self): - """Test processing file path input""" + def test_process_pathlib_input(self): + """pathlib.Path is a Python-level type HTTP form values can't fabricate.""" + from pathlib import Path + test_content = b"test audio content" with tempfile.NamedTemporaryFile(suffix=".mp3", delete=False) as temp_file: @@ -51,15 +53,22 @@ class TestProcessAudioFile: temp_file_path = temp_file.name try: - result = process_audio_file(temp_file_path) + result = process_audio_file(Path(temp_file_path)) assert isinstance(result, ProcessedAudioFile) assert result.file_content == test_content assert result.filename == os.path.basename(temp_file_path) - assert result.content_type == "audio/mpeg" # .mp3 should map to audio/mpeg + assert result.content_type == "audio/mpeg" finally: os.unlink(temp_file_path) + def test_process_bare_str_path_rejected(self): + """Bare str paths are rejected — when this runs in a proxy request + handler the value is attacker-controlled, and opening it as a path + is an arbitrary local file read.""" + with pytest.raises(ValueError, match="does not accept bare str inputs"): + process_audio_file("/etc/passwd") + def test_process_tuple_input_with_bytes(self): """Test processing tuple input with bytes content""" filename = "test.wav" @@ -73,8 +82,10 @@ class TestProcessAudioFile: assert result.filename == filename assert result.content_type == "audio/wav" - def test_process_tuple_input_with_file_path(self): - """Test processing tuple input with file path content""" + def test_process_tuple_input_with_pathlib_content(self): + """Tuple input with pathlib.Path content is allowed; bare str content is not.""" + from pathlib import Path + test_content = b"test audio content" with tempfile.NamedTemporaryFile(suffix=".flac", delete=False) as temp_file: @@ -83,7 +94,7 @@ class TestProcessAudioFile: try: filename = "custom_name.flac" - audio_tuple = (filename, temp_file_path) + audio_tuple = (filename, Path(temp_file_path)) result = process_audio_file(audio_tuple) 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 1764d9c609f..e84baf5e137 100644 --- a/tests/test_litellm/litellm_core_utils/test_litellm_logging.py +++ b/tests/test_litellm/litellm_core_utils/test_litellm_logging.py @@ -36,6 +36,19 @@ def test_get_masked_api_base(logging_obj): assert type(masked_api_base) == str +def test_post_call_serializes_dict_with_datetime(logging_obj): + import datetime + + response = { + "status": "InProgress", + "submitTime": datetime.datetime(2026, 5, 11, 23, 49, 13, 132000), + } + logging_obj.post_call(original_response=response) + serialized = logging_obj.model_call_details["original_response"] + assert isinstance(serialized, str) + assert "2026-05-11" in serialized + + def test_sentry_sample_rate(): existing_sample_rate = os.getenv("SENTRY_API_SAMPLE_RATE") try: diff --git a/tests/test_litellm/llms/anthropic/chat/test_anthropic_chat_transformation.py b/tests/test_litellm/llms/anthropic/chat/test_anthropic_chat_transformation.py index e38698c9100..a19752dc648 100644 --- a/tests/test_litellm/llms/anthropic/chat/test_anthropic_chat_transformation.py +++ b/tests/test_litellm/llms/anthropic/chat/test_anthropic_chat_transformation.py @@ -2135,6 +2135,53 @@ def test_validate_effort_for_model_centralises_per_model_gating( assert err is None +def test_transform_request_injects_dummy_tool_without_tools_param(): + """ + Anthropic rejects messages that contain tool turns when ``tools`` is omitted. + LiteLLM must inject a dummy tool without ``litellm.modify_params``. + """ + config = AnthropicConfig() + prev_modify_params = litellm.modify_params + litellm.modify_params = False + try: + messages = [ + {"role": "user", "content": "Hello"}, + { + "role": "assistant", + "content": "Calling tool", + "tool_calls": [ + { + "id": "toolu_test_dummy", + "type": "function", + "function": {"name": "get_x", "arguments": "{}"}, + } + ], + }, + { + "role": "tool", + "tool_call_id": "toolu_test_dummy", + "content": "{}", + }, + ] + result = config.transform_request( + model="claude-3-5-haiku-20241022", + messages=messages, + optional_params={"max_tokens": 256}, + litellm_params={}, + headers={}, + ) + finally: + litellm.modify_params = prev_modify_params + + assert "tools" in result + names = [ + t.get("name") + for t in result["tools"] + if isinstance(t, dict) and t.get("name") is not None + ] + assert "dummy_tool" in names + + def test_transform_request_uses_dynamic_max_tokens(): """ Test that transform_request uses dynamic max_tokens based on model diff --git a/tests/test_litellm/llms/bedrock/batches/test_handler.py b/tests/test_litellm/llms/bedrock/batches/test_handler.py new file mode 100644 index 00000000000..18780ccce0f --- /dev/null +++ b/tests/test_litellm/llms/bedrock/batches/test_handler.py @@ -0,0 +1,338 @@ +"""Unit tests for ``BedrockBatchesHandler._handle_model_invocation_job_status``. + +These cover the upstream support for retrieving Bedrock bulk batch jobs +(``arn:aws:bedrock:::model-invocation-job/``) — the ARN +type returned by ``CreateModelInvocationJob``. We mock the boto3 client so +the tests don't hit AWS. +""" + +from __future__ import annotations + +import os +import sys +from datetime import datetime, timezone +from unittest.mock import MagicMock, patch + +import pytest + +sys.path.insert(0, os.path.abspath("../../../../..")) + +from litellm.llms.bedrock.batches.handler import ( # noqa: E402 + BedrockBatchesHandler, + _extract_job_id_from_arn, + _extract_region_from_bedrock_arn, + _predict_output_file_uri, + _to_epoch, +) + +JOB_ID = "abc1234567" +JOB_ARN = f"arn:aws:bedrock:us-west-2:123456789012:model-invocation-job/{JOB_ID}" +INPUT_URI = "s3://my-bucket/inputs/qwen3-235b-a22b-2507-batch.jsonl" +OUTPUT_PREFIX = "s3://my-bucket/litellm-batch-outputs/litellm-bedrock-files-qwen-uuid/" +SUBMIT_TIME = datetime(2026, 4, 28, 12, 0, 0, tzinfo=timezone.utc) +END_TIME = datetime(2026, 4, 28, 12, 30, 0, tzinfo=timezone.utc) + + +def _fake_boto3_response(status: str = "Completed", end_time=END_TIME): + return { + "jobArn": JOB_ARN, + "jobName": "litellm-bedrock-files-qwen-uuid", + "modelId": "bedrock/qwen.qwen3-235b-a22b-2507-v1:0", + "status": status, + "submitTime": SUBMIT_TIME, + "lastModifiedTime": end_time, + "endTime": end_time, + "inputDataConfig": {"s3InputDataConfig": {"s3Uri": INPUT_URI}}, + "outputDataConfig": {"s3OutputDataConfig": {"s3Uri": OUTPUT_PREFIX}}, + } + + +@pytest.fixture +def patched_boto3(): + """Yield a stub bedrock client whose `get_model_invocation_job` is a MagicMock.""" + fake_client = MagicMock() + fake_client.get_model_invocation_job.return_value = _fake_boto3_response() + with ( + patch("boto3.client", return_value=fake_client) as boto_client_factory, + patch( + "litellm.llms.bedrock.batches.transformation.BedrockBatchesConfig.get_credentials", + return_value=MagicMock(access_key="AKIA", secret_key="SECRET", token=None), + ), + ): + yield fake_client, boto_client_factory + + +def test_extract_region_from_arn(): + assert _extract_region_from_bedrock_arn(JOB_ARN) == "us-west-2" + assert _extract_region_from_bedrock_arn("arn:aws:bedrock::123:foo/bar") is None + assert _extract_region_from_bedrock_arn("not-an-arn") is None + + +def test_extract_region_swallows_unexpected_split_errors(): + """Defensive `except Exception` branch — anything that isn't a plain str + should fall through to ``None`` rather than blow up.""" + + class WeirdArn: + def split(self, _sep): + raise RuntimeError("boom") + + assert _extract_region_from_bedrock_arn(WeirdArn()) is None # type: ignore[arg-type] + + +def test_predict_output_file_uri_returns_none_for_directory_input_uri(): + """Input URI ending in `/` has an empty basename — we must bail rather + than emit ``//.out``.""" + assert ( + _predict_output_file_uri(OUTPUT_PREFIX, "s3://bucket/inputs/", JOB_ID) is None + ) + + +_DT = datetime(2026, 4, 28, 12, 0, 0, tzinfo=timezone.utc) + + +@pytest.mark.parametrize( + "value,expected", + [ + (None, None), + (1730000000, 1730000000), + (1730000000.5, 1730000000), + (_DT, int(_DT.timestamp())), + ("2026-04-28T12:00:00Z", None), # strings aren't supported -> None + ], +) +def test_to_epoch_handles_supported_types(value, expected): + assert _to_epoch(value) == expected + + +def test_extract_job_id_from_arn(): + assert _extract_job_id_from_arn(JOB_ARN) == JOB_ID + assert ( + _extract_job_id_from_arn("arn:aws:bedrock:us-west-2:1:async-invoke/x") is None + ) + + +def test_predict_output_file_uri_happy_path(): + expected = f"{OUTPUT_PREFIX}{JOB_ID}/qwen3-235b-a22b-2507-batch.jsonl.out" + assert _predict_output_file_uri(OUTPUT_PREFIX, INPUT_URI, JOB_ID) == expected + + +def test_predict_output_file_uri_adds_trailing_slash(): + prefix_no_slash = OUTPUT_PREFIX.rstrip("/") + expected = f"{OUTPUT_PREFIX}{JOB_ID}/qwen3-235b-a22b-2507-batch.jsonl.out" + assert _predict_output_file_uri(prefix_no_slash, INPUT_URI, JOB_ID) == expected + + +@pytest.mark.parametrize( + "missing_arg", + [ + ("", INPUT_URI, JOB_ID), + (OUTPUT_PREFIX, "", JOB_ID), + (OUTPUT_PREFIX, INPUT_URI, None), + ], +) +def test_predict_output_file_uri_returns_none_when_missing_input(missing_arg): + assert _predict_output_file_uri(*missing_arg) is None + + +def test_handle_model_invocation_job_status_completed(patched_boto3): + fake_client, boto_client_factory = patched_boto3 + + batch = BedrockBatchesHandler._handle_model_invocation_job_status(batch_id=JOB_ARN) + + fake_client.get_model_invocation_job.assert_called_once_with(jobIdentifier=JOB_ARN) + + # Region should be sniffed from the ARN. + _, kwargs = boto_client_factory.call_args + assert kwargs["region_name"] == "us-west-2" + + assert batch.id == JOB_ARN + assert batch.status == "completed" + assert batch.input_file_id == INPUT_URI + expected_out = f"{OUTPUT_PREFIX}{JOB_ID}/qwen3-235b-a22b-2507-batch.jsonl.out" + assert batch.output_file_id == expected_out + assert batch.completed_at == int(END_TIME.timestamp()) + assert batch.failed_at is None + assert batch.cancelled_at is None + # Per-record counts aren't reported by GetModelInvocationJob, so we leave + # them zeroed; consumers should parse manifest.json.out for accurate counts. + assert batch.request_counts.total == 0 + assert batch.metadata["job_arn"] == JOB_ARN + assert batch.metadata["output_file_uri"] == expected_out + assert batch.metadata["output_s3_uri"] == OUTPUT_PREFIX + + +@pytest.mark.parametrize( + "bedrock_status,openai_status", + [ + ("Submitted", "validating"), + ("Validating", "validating"), + ("Scheduled", "validating"), + ("InProgress", "in_progress"), + ("Stopping", "cancelling"), + ("Stopped", "cancelled"), + ("Completed", "completed"), + ("PartiallyCompleted", "completed"), + ("Failed", "failed"), + ("Expired", "expired"), + # Unknown/unmapped Bedrock status falls back to "in_progress" so we + # don't 500 on a future AWS-side enum addition. + ("MyBrandNewStatus", "in_progress"), + ], +) +def test_status_mapping(patched_boto3, bedrock_status, openai_status): + fake_client, _ = patched_boto3 + fake_client.get_model_invocation_job.return_value = _fake_boto3_response( + status=bedrock_status + ) + + batch = BedrockBatchesHandler._handle_model_invocation_job_status(batch_id=JOB_ARN) + + assert batch.status == openai_status + # output_file_id is only populated for terminal-completed jobs, so callers + # don't accidentally try to download a non-existent file mid-run. + if openai_status == "completed": + assert batch.output_file_id is not None + else: + assert batch.output_file_id is None + + +def test_explicit_region_overrides_arn(patched_boto3): + _, boto_client_factory = patched_boto3 + BedrockBatchesHandler._handle_model_invocation_job_status( + batch_id=JOB_ARN, aws_region_name="eu-central-1" + ) + _, kwargs = boto_client_factory.call_args + assert kwargs["region_name"] == "eu-central-1" + + +def test_failure_message_propagates(patched_boto3): + fake_client, _ = patched_boto3 + failed_response = _fake_boto3_response(status="Failed") + failed_response["message"] = "Input file failed validation" + fake_client.get_model_invocation_job.return_value = failed_response + + batch = BedrockBatchesHandler._handle_model_invocation_job_status(batch_id=JOB_ARN) + + assert batch.status == "failed" + assert batch.failed_at == int(END_TIME.timestamp()) + assert batch.metadata["failure_message"] == "Input file failed validation" + + +def test_completed_with_unpredictable_output_uri_stays_none(patched_boto3): + """ + Regression guard for the original NoSuchKey bug: if Bedrock's response is + missing pieces we need to compute the per-job output file path (here, the + input s3Uri), `output_file_id` must stay `None` rather than fall back to + the bare prefix. Falling back to the prefix is what produced the original + NoSuchKey error this PR fixes. + """ + fake_client, _ = patched_boto3 + incomplete_response = _fake_boto3_response(status="Completed") + incomplete_response["inputDataConfig"] = {"s3InputDataConfig": {"s3Uri": ""}} + fake_client.get_model_invocation_job.return_value = incomplete_response + + batch = BedrockBatchesHandler._handle_model_invocation_job_status(batch_id=JOB_ARN) + + assert batch.status == "completed" + # output_file_id MUST be None (not the bare prefix) — that's the whole + # point of this regression test. Callers branch on this field. + assert batch.output_file_id is None + # The metadata field uses "" because OpenAI Batch metadata is dict[str, str]; + # callers should branch on `output_file_id` (above) instead. + assert batch.metadata["output_file_uri"] == "" + # The bare prefix is still preserved in metadata so callers can list it. + assert batch.metadata["output_s3_uri"] == OUTPUT_PREFIX + + +def test_cancelled_status_sets_cancelled_at(patched_boto3): + fake_client, _ = patched_boto3 + fake_client.get_model_invocation_job.return_value = _fake_boto3_response( + status="Stopped" + ) + + batch = BedrockBatchesHandler._handle_model_invocation_job_status(batch_id=JOB_ARN) + + assert batch.status == "cancelled" + assert batch.cancelled_at == int(END_TIME.timestamp()) + assert batch.completed_at is None + assert batch.failed_at is None + assert batch.expired_at is None + + +def test_expired_status_sets_expired_at(patched_boto3): + fake_client, _ = patched_boto3 + fake_client.get_model_invocation_job.return_value = _fake_boto3_response( + status="Expired" + ) + + batch = BedrockBatchesHandler._handle_model_invocation_job_status(batch_id=JOB_ARN) + + assert batch.status == "expired" + assert batch.expired_at == int(END_TIME.timestamp()) + assert batch.completed_at is None + assert batch.failed_at is None + assert batch.cancelled_at is None + + +def test_logging_obj_pre_and_post_call_invoked(patched_boto3): + """`pre_call` / `post_call` get called with sensible payloads when a + `logging_obj` is supplied.""" + _, _ = patched_boto3 + logging_obj = MagicMock() + + BedrockBatchesHandler._handle_model_invocation_job_status( + batch_id=JOB_ARN, logging_obj=logging_obj + ) + + logging_obj.pre_call.assert_called_once() + logging_obj.post_call.assert_called_once() + + pre_kwargs = logging_obj.pre_call.call_args.kwargs + assert pre_kwargs["input"] == JOB_ARN + assert pre_kwargs["additional_args"]["complete_input_dict"] == { + "jobIdentifier": JOB_ARN + } + # Logged URL must use the bare job id, not the full ARN, so it doesn't + # double the `model-invocation-job/` segment or embed colons in the path. + assert pre_kwargs["additional_args"]["api_base"] == ( + f"https://bedrock.us-west-2.amazonaws.com/model-invocation-job/{JOB_ID}" + ) + + post_kwargs = logging_obj.post_call.call_args.kwargs + assert post_kwargs["input"] == JOB_ARN + assert post_kwargs["original_response"]["jobArn"] == JOB_ARN + + +def test_missing_boto3_raises_helpful_import_error(): + """If boto3 isn't installed we should raise a clear, actionable + ImportError rather than letting a NameError escape.""" + real_import = ( + __builtins__["__import__"] + if isinstance(__builtins__, dict) + else __builtins__.__import__ + ) + + def fake_import(name, *args, **kwargs): + if name == "boto3": + raise ImportError("No module named 'boto3'") + return real_import(name, *args, **kwargs) + + with patch("builtins.__import__", side_effect=fake_import): + with pytest.raises(ImportError, match="pip install boto3"): + BedrockBatchesHandler._handle_model_invocation_job_status(batch_id=JOB_ARN) + + +def test_logging_url_uses_bare_id_when_only_id_passed(patched_boto3): + """If the caller passes just the trailing job id (also valid for + `GetModelInvocationJob`), the logged URL should use it as-is.""" + _, _ = patched_boto3 + logging_obj = MagicMock() + + BedrockBatchesHandler._handle_model_invocation_job_status( + batch_id=JOB_ID, aws_region_name="us-west-2", logging_obj=logging_obj + ) + + pre_kwargs = logging_obj.pre_call.call_args.kwargs + assert pre_kwargs["additional_args"]["api_base"] == ( + f"https://bedrock.us-west-2.amazonaws.com/model-invocation-job/{JOB_ID}" + ) diff --git a/tests/test_litellm/llms/bedrock/messages/invoke_transformations/test_anthropic_claude3_transformation.py b/tests/test_litellm/llms/bedrock/messages/invoke_transformations/test_anthropic_claude3_transformation.py index c98f7840343..9ecdad1fcff 100644 --- a/tests/test_litellm/llms/bedrock/messages/invoke_transformations/test_anthropic_claude3_transformation.py +++ b/tests/test_litellm/llms/bedrock/messages/invoke_transformations/test_anthropic_claude3_transformation.py @@ -867,10 +867,12 @@ def test_bedrock_messages_explicit_output_config_wins_over_reasoning_effort(): def test_bedrock_messages_strips_context_management(): """ Ensure context_management is stripped from the request before sending to - Bedrock Invoke, which doesn't support this Anthropic-specific parameter. + Bedrock Invoke when it carries only LiteLLM-internal edits (e.g. + clear_thinking_20251015, which is consumed via thinking injection). - Claude Code sends context_management on every request; leaving it in the body - causes a 400 "context_management: Extra inputs are not permitted" from Bedrock. + Claude Code sends context_management on every request; leaving such edits + in the body causes a 400 "context_management: Extra inputs are not + permitted" from Bedrock. """ from litellm.types.router import GenericLiteLLMParams @@ -897,6 +899,77 @@ def test_bedrock_messages_strips_context_management(): assert result.get("max_tokens") == 4096 +def test_bedrock_messages_preserves_compact_context_management_and_adds_beta(): + """ + Bedrock InvokeModel supports compaction when paired with the + ``compact-2026-01-12`` anthropic-beta header, even though the Converse API + does not. The transformation should: + 1. Keep ``context_management`` with compact_20260112 edits in the body + (Bedrock rejects unknown top-level fields, but accepts this one with + the right beta). + 2. Auto-inject ``compact-2026-01-12`` into ``anthropic_beta``. + + Ref: https://github.com/BerriAI/litellm/issues/27532 + """ + from litellm.types.router import GenericLiteLLMParams + + cfg = AmazonAnthropicClaudeMessagesConfig() + messages = [{"role": "user", "content": [{"type": "text", "text": "Hi"}]}] + optional_params = { + "max_tokens": 4096, + "context_management": { + "edits": [{"type": "compact_20260112"}] + }, + } + + result = cfg.transform_anthropic_messages_request( + model="anthropic.claude-sonnet-4-6-20250929-v1:0", + messages=messages, + anthropic_messages_optional_request_params=optional_params, + litellm_params=GenericLiteLLMParams(), + headers={}, + ) + + assert result.get("context_management") == { + "edits": [{"type": "compact_20260112"}] + } + assert "compact-2026-01-12" in result.get("anthropic_beta", []) + assert result["max_tokens"] == 4096 + + +def test_bedrock_messages_filters_unsupported_context_management_edits(): + """ + Mixed edit lists must drop the LiteLLM-internal ``clear_thinking_20251015`` + entries while keeping ``compact_20260112`` and adding the compact beta. + """ + from litellm.types.router import GenericLiteLLMParams + + cfg = AmazonAnthropicClaudeMessagesConfig() + messages = [{"role": "user", "content": [{"type": "text", "text": "Hi"}]}] + optional_params = { + "max_tokens": 4096, + "context_management": { + "edits": [ + {"type": "clear_thinking_20251015", "keep": "all"}, + {"type": "compact_20260112"}, + ] + }, + } + + result = cfg.transform_anthropic_messages_request( + model="anthropic.claude-sonnet-4-6-20250929-v1:0", + messages=messages, + anthropic_messages_optional_request_params=optional_params, + litellm_params=GenericLiteLLMParams(), + headers={}, + ) + + assert result.get("context_management") == { + "edits": [{"type": "compact_20260112"}] + } + assert "compact-2026-01-12" in result.get("anthropic_beta", []) + + def test_bedrock_messages_allowlist_filters_anthropic_only_fields(): """ Bedrock Invoke rejects any top-level body field it doesn't recognize with diff --git a/tests/test_litellm/llms/bedrock/test_claude_platform_provider.py b/tests/test_litellm/llms/bedrock/test_claude_platform_provider.py new file mode 100644 index 00000000000..74cfbb265cd --- /dev/null +++ b/tests/test_litellm/llms/bedrock/test_claude_platform_provider.py @@ -0,0 +1,312 @@ +import json +from unittest.mock import patch + +import httpx +import pytest + + +def _anthropic_response(url: str) -> httpx.Response: + return httpx.Response( + status_code=200, + json={ + "id": "msg_test", + "type": "message", + "role": "assistant", + "model": "claude-sonnet-4-6", + "content": [{"type": "text", "text": "ok"}], + "stop_reason": "end_turn", + "stop_sequence": None, + "usage": {"input_tokens": 1, "output_tokens": 1}, + }, + request=httpx.Request("POST", url), + ) + + +def _capture_request(url: str, headers: dict, data: bytes | str | None) -> dict: + raw_body = data.decode("utf-8") if isinstance(data, bytes) else data or "{}" + return { + "path": httpx.URL(url).path, + "headers": headers, + "body": json.loads(raw_body), + } + + +def test_claude_platform_builds_default_messages_url_from_region(): + from litellm.llms.bedrock.claude_platform.transformation import ( + BedrockClaudePlatformConfig, + ) + + config = BedrockClaudePlatformConfig() + + assert ( + config.get_complete_url( + api_base=None, + api_key=None, + model="claude-sonnet-4-6", + optional_params={"aws_region_name": "us-west-2"}, + litellm_params={}, + ) + == "https://aws-external-anthropic.us-west-2.api.aws/v1/messages" + ) + + +def test_claude_platform_ignores_standard_anthropic_base_url(monkeypatch): + from litellm.llms.bedrock.claude_platform.transformation import ( + BedrockClaudePlatformConfig, + ) + + monkeypatch.setenv("ANTHROPIC_BASE_URL", "https://api.anthropic.example") + monkeypatch.setenv("ANTHROPIC_API_BASE", "https://api.anthropic-api.example") + + config = BedrockClaudePlatformConfig() + + assert ( + config.get_complete_url( + api_base=None, + api_key=None, + model="claude-sonnet-4-6", + optional_params={"aws_region_name": "us-west-2"}, + litellm_params={}, + ) + == "https://aws-external-anthropic.us-west-2.api.aws/v1/messages" + ) + + +def test_claude_platform_uses_bedrock_subroute(): + import litellm + from litellm.llms.bedrock.common_utils import BedrockModelInfo + + model, provider, _, _ = litellm.get_llm_provider( + model="bedrock/claude_platform/claude-sonnet-4-6" + ) + + assert provider == "bedrock" + assert model == "claude_platform/claude-sonnet-4-6" + assert BedrockModelInfo.get_bedrock_route(model) == "claude_platform" + assert BedrockModelInfo.get_claude_platform_model(model) == "claude-sonnet-4-6" + + +def test_claude_platform_requires_workspace_header(): + from litellm import AuthenticationError + from litellm.llms.bedrock.claude_platform.transformation import ( + BedrockClaudePlatformConfig, + ) + + config = BedrockClaudePlatformConfig() + + with pytest.raises(AuthenticationError) as exc_info: + config.validate_environment( + api_key="fake-platform-key", + headers={}, + model="claude-sonnet-4-6", + messages=[{"role": "user", "content": "hello"}], + optional_params={}, + litellm_params={}, + ) + + assert "workspace" in str(exc_info.value).lower() + + +def test_claude_platform_api_key_auth_sets_workspace_and_key_headers(): + from litellm.llms.bedrock.claude_platform.transformation import ( + BedrockClaudePlatformConfig, + ) + + config = BedrockClaudePlatformConfig() + headers = config.validate_environment( + api_key="fake-platform-key", + headers={"anthropic-beta": "skills-2025-10-02"}, + model="claude-sonnet-4-6", + messages=[{"role": "user", "content": "hello"}], + optional_params={"workspace_id": "wrkspc_test"}, + litellm_params={}, + ) + + assert headers["x-api-key"] == "fake-platform-key" + assert headers["anthropic-workspace-id"] == "wrkspc_test" + assert headers["anthropic-beta"] == "skills-2025-10-02" + + +def test_claude_platform_does_not_use_standard_anthropic_api_key(monkeypatch): + from litellm.llms.bedrock.claude_platform.transformation import ( + BedrockClaudePlatformConfig, + ) + + monkeypatch.setenv("ANTHROPIC_API_KEY", "standard-anthropic-key") + + config = BedrockClaudePlatformConfig() + headers = config.validate_environment( + api_key=None, + headers={}, + model="claude-sonnet-4-6", + messages=[{"role": "user", "content": "hello"}], + optional_params={"workspace_id": "wrkspc_test"}, + litellm_params={}, + ) + + assert "x-api-key" not in headers + + +def test_claude_platform_sigv4_signs_transformed_request_body(): + from litellm.llms.bedrock.claude_platform.transformation import ( + BedrockClaudePlatformConfig, + ) + + config = BedrockClaudePlatformConfig() + request_body = { + "model": "claude-sonnet-4-6", + "messages": [{"role": "user", "content": "hello"}], + "max_tokens": 10, + } + + with patch.object( + config, + "_sign_request", + return_value=({"Authorization": "signed"}, json.dumps(request_body).encode()), + ) as mock_sign_request: + headers, signed_body = config.sign_request( + headers={"anthropic-workspace-id": "wrkspc_test"}, + optional_params={"aws_region_name": "us-west-2"}, + request_data=request_body, + api_base="https://aws-external-anthropic.us-west-2.api.aws/v1/messages", + api_key=None, + model="claude-sonnet-4-6", + ) + + assert signed_body == json.dumps(request_body).encode() + assert headers["Authorization"] == "signed" + mock_sign_request.assert_called_once() + assert ( + mock_sign_request.call_args.kwargs["service_name"] == "aws-external-anthropic" + ) + assert mock_sign_request.call_args.kwargs["request_data"] == request_body + + +def test_claude_platform_standard_anthropic_api_key_does_not_skip_sigv4(monkeypatch): + from litellm.llms.bedrock.claude_platform.transformation import ( + BedrockClaudePlatformConfig, + ) + + monkeypatch.setenv("ANTHROPIC_API_KEY", "standard-anthropic-key") + config = BedrockClaudePlatformConfig() + request_body = { + "model": "claude-sonnet-4-6", + "messages": [{"role": "user", "content": "hello"}], + "max_tokens": 10, + } + + with patch.object( + config, + "_sign_request", + return_value=({"Authorization": "signed"}, json.dumps(request_body).encode()), + ) as mock_sign_request: + headers, signed_body = config.sign_request( + headers={"anthropic-workspace-id": "wrkspc_test"}, + optional_params={"aws_region_name": "us-west-2"}, + request_data=request_body, + api_base="https://aws-external-anthropic.us-west-2.api.aws/v1/messages", + api_key=None, + model="claude-sonnet-4-6", + ) + + assert signed_body == json.dumps(request_body).encode() + assert headers["Authorization"] == "signed" + mock_sign_request.assert_called_once() + + +def test_bedrock_claude_platform_messages_config_round_trips_native_body(): + import litellm + from litellm.types.utils import LlmProviders + + config = litellm.ProviderConfigManager.get_provider_anthropic_messages_config( + model="claude_platform/claude-sonnet-4-6", + provider=LlmProviders.BEDROCK, + ) + + assert config is not None + headers, _ = config.validate_anthropic_messages_environment( + api_key="fake-platform-key", + headers={}, + model="claude_platform/claude-sonnet-4-6", + messages=[{"role": "user", "content": "hello"}], + optional_params={"max_tokens": 10}, + litellm_params={"workspace_id": "wrkspc_test"}, + ) + request_body = config.transform_anthropic_messages_request( + model="claude_platform/claude-sonnet-4-6", + messages=[{"role": "user", "content": "hello"}], + anthropic_messages_optional_request_params={"max_tokens": 10}, + litellm_params={}, + headers=headers, + ) + + assert headers["anthropic-workspace-id"] == "wrkspc_test" + assert headers["x-api-key"] == "fake-platform-key" + assert request_body == { + "model": "claude-sonnet-4-6", + "messages": [{"role": "user", "content": "hello"}], + "max_tokens": 10, + } + + +def test_chat_completion_routes_bedrock_claude_platform_to_messages_api(): + import litellm + + requests = [] + + def mock_post(self, url, data=None, headers=None, **kwargs): + requests.append(_capture_request(url=url, headers=headers or {}, data=data)) + return _anthropic_response(url) + + with patch("litellm.llms.custom_httpx.http_handler.HTTPHandler.post", mock_post): + response = litellm.completion( + model="bedrock/claude_platform/claude-sonnet-4-6", + messages=[{"role": "user", "content": "hello"}], + max_tokens=10, + api_base="https://aws-external-anthropic.us-west-2.api.aws", + api_key="fake-platform-key", + workspace_id="wrkspc_test", + ) + + assert response.choices[0].message.content == "ok" + assert len(requests) == 1 + assert requests[0]["path"] == "/v1/messages" + assert requests[0]["headers"]["x-api-key"] == "fake-platform-key" + assert requests[0]["headers"]["anthropic-workspace-id"] == "wrkspc_test" + assert requests[0]["body"]["model"] == "claude-sonnet-4-6" + + +@pytest.mark.asyncio +async def test_anthropic_messages_routes_bedrock_claude_platform_to_messages_api(): + import litellm + + requests = [] + + async def mock_post(self, url, data=None, headers=None, **kwargs): + requests.append(_capture_request(url=url, headers=headers or {}, data=data)) + return _anthropic_response(url) + + try: + with patch( + "litellm.llms.custom_httpx.http_handler.AsyncHTTPHandler.post", + new=mock_post, + ): + response = await litellm.anthropic_messages( + model="bedrock/claude_platform/claude-sonnet-4-6", + messages=[{"role": "user", "content": "hello"}], + max_tokens=10, + api_base="https://aws-external-anthropic.us-west-2.api.aws", + api_key="fake-platform-key", + workspace_id="wrkspc_test", + ) + finally: + await litellm.close_litellm_async_clients() + + assert response["content"][0]["text"] == "ok" + assert len(requests) == 1 + assert requests[0]["path"] == "/v1/messages" + assert requests[0]["headers"]["x-api-key"] == "fake-platform-key" + assert requests[0]["headers"]["anthropic-workspace-id"] == "wrkspc_test" + assert requests[0]["body"]["messages"] == [{"role": "user", "content": "hello"}] + assert requests[0]["body"]["max_tokens"] == 10 + assert requests[0]["body"]["model"] == "claude-sonnet-4-6" diff --git a/tests/test_litellm/llms/github_copilot/test_github_copilot_transformation.py b/tests/test_litellm/llms/github_copilot/test_github_copilot_transformation.py index 678aa6b56c1..45ce5d58405 100644 --- a/tests/test_litellm/llms/github_copilot/test_github_copilot_transformation.py +++ b/tests/test_litellm/llms/github_copilot/test_github_copilot_transformation.py @@ -94,27 +94,33 @@ def test_github_copilot_config_get_openai_compatible_provider_info(): @patch("litellm.llms.github_copilot.authenticator.Authenticator.get_api_key") +@patch("litellm.main.openai_chat_completions.completion") @patch("litellm.llms.openai.openai.OpenAIChatCompletion.completion") -def test_completion_github_copilot_mock_response(mock_completion, mock_get_api_key): +def test_completion_github_copilot_mock_response( + mock_class_completion, mock_instance_completion, mock_get_api_key, monkeypatch +): """Test the completion function with GitHub Copilot provider.""" - # Mock the API key return value + # Force chat path through the patched openai_chat_completions instance even if + # a previous test left EXPERIMENTAL_OPENAI_BASE_LLM_HTTP_HANDLER set in the env. + monkeypatch.delenv("EXPERIMENTAL_OPENAI_BASE_LLM_HTTP_HANDLER", raising=False) + mock_api_key = "gh.test-key-123456789" mock_get_api_key.return_value = mock_api_key - # Mock completion response mock_response = MagicMock() mock_response.choices = [MagicMock()] mock_response.choices[0].message.content = "Hello, I'm GitHub Copilot!" - mock_completion.return_value = mock_response + # Patch both the class method and the live module-level instance to survive + # conftest module reloads that can swap which class object is in use. + mock_class_completion.return_value = mock_response + mock_instance_completion.return_value = mock_response - # Test non-streaming completion messages = [ {"role": "system", "content": "You're GitHub Copilot, an AI assistant."}, {"role": "user", "content": "Hello, who are you?"}, ] - # Create a properly formatted headers dictionary headers = { "editor-version": "Neovim/0.9.0", "Copilot-Integration-Id": "vscode-chat", @@ -128,19 +134,16 @@ def test_completion_github_copilot_mock_response(mock_completion, mock_get_api_k assert response is not None - # Verify the get_api_key call was made (can be called multiple times) assert mock_get_api_key.call_count >= 1 - # Verify the completion call was made with the expected params - mock_completion.assert_called_once() - args, kwargs = mock_completion.call_args + # Exactly one of the two patched targets should have been used. + invoked = [m for m in (mock_class_completion, mock_instance_completion) if m.called] + assert len(invoked) == 1 + invoked[0].assert_called_once() + _, kwargs = invoked[0].call_args - # Check that the proper authorization header is set assert "headers" in kwargs - # Check that the model name is correctly formatted - assert ( - kwargs.get("model") == "gpt-4" - ) # Model name should be without provider prefix + assert kwargs.get("model") == "gpt-4" assert kwargs.get("messages") == messages diff --git a/tests/test_litellm/llms/openai/test_gpt5_transformation.py b/tests/test_litellm/llms/openai/test_gpt5_transformation.py index ebf7681f2f3..d279b119efe 100644 --- a/tests/test_litellm/llms/openai/test_gpt5_transformation.py +++ b/tests/test_litellm/llms/openai/test_gpt5_transformation.py @@ -1,10 +1,15 @@ import pytest import litellm +import litellm.main as litellm_main from litellm.litellm_core_utils.get_model_cost_map import get_model_cost_map from litellm.llms.openai.chat.gpt_5_transformation import OpenAIGPT5Config from litellm.llms.openai.openai import OpenAIConfig -from litellm.utils import _is_explicitly_disabled_factory +from litellm.utils import ( + _is_explicitly_disabled_factory, + peek_reasoning_summary_aliases, + strip_reasoning_summary_aliases_from_optional_params, +) @pytest.fixture() @@ -1007,6 +1012,76 @@ def test_gpt5_search_drops_unsupported_params(config: OpenAIConfig): assert "tools" not in params +def test_gpt5_chat_strips_reasoning_summary_aliases_after_bridge_check( + monkeypatch: pytest.MonkeyPatch, +): + """Non-bridged GPT-5 chat calls strip Responses-only reasoning summary aliases.""" + captured_kwargs = {} + + def fake_openai_completion(**kwargs): + captured_kwargs.update(kwargs) + return {} + + monkeypatch.setattr( + litellm_main.openai_chat_completions, + "completion", + fake_openai_completion, + ) + + litellm.completion( + model="gpt-5", + messages=[{"role": "user", "content": "ok"}], + reasoningSummary="auto", + extra_body={"reasoning_summary": "ignored", "metadata": "ok"}, + api_key="fake-key", + ) + + optional_params = captured_kwargs["optional_params"] + assert "reasoningSummary" not in optional_params + assert "reasoning_summary" not in optional_params + assert optional_params["extra_body"] == {"metadata": "ok"} + + +def test_reasoning_summary_alias_helpers_preserve_falsy_and_strip_all_aliases(): + optional_params = {"reasoningSummary": False, "reasoning_summary": "ignored"} + + assert peek_reasoning_summary_aliases(optional_params) is False + stripped, rs_val = strip_reasoning_summary_aliases_from_optional_params( + optional_params + ) + + assert rs_val is False + assert stripped == {} + + optional_params = { + "extra_body": {"reasoningSummary": False, "reasoning_summary": "ignored"} + } + + assert peek_reasoning_summary_aliases(optional_params) is False + stripped, rs_val = strip_reasoning_summary_aliases_from_optional_params( + optional_params + ) + + assert rs_val is False + assert stripped == {} + + optional_params = { + "extra_body": { + "reasoningSummary": "auto", + "reasoning_summary": "ignored", + "metadata": "ok", + } + } + + assert peek_reasoning_summary_aliases(optional_params) == "auto" + stripped, rs_val = strip_reasoning_summary_aliases_from_optional_params( + optional_params + ) + + assert rs_val == "auto" + assert stripped == {"extra_body": {"metadata": "ok"}} + + # GPT-5 unsupported params audit (validated via direct API calls) def test_gpt5_rejects_params_unsupported_by_openai(config: OpenAIConfig): """Params that OpenAI rejects for all GPT-5 reasoning models.""" diff --git a/tests/test_litellm/llms/ovhcloud/test_ovhcloud_audio_transcription_transformation.py b/tests/test_litellm/llms/ovhcloud/test_ovhcloud_audio_transcription_transformation.py index 8cc46dc98d0..c8751fb2d95 100644 --- a/tests/test_litellm/llms/ovhcloud/test_ovhcloud_audio_transcription_transformation.py +++ b/tests/test_litellm/llms/ovhcloud/test_ovhcloud_audio_transcription_transformation.py @@ -54,3 +54,61 @@ def test_ovhcloud_audio_transcription_config_installed(): assert config is not None assert isinstance(config, BaseAudioTranscriptionConfig) + + + +class TestOVHCloudDurationFieldMigration: + """Tests for OVHCloud duration -> seconds field migration.""" + + def test_seconds_field_mapped_to_duration(self): + """New `seconds` field should be normalized to `duration`.""" + from litellm.llms.ovhcloud.audio_transcription.transformation import ( + OVHCloudAudioTranscriptionConfig, + ) + from unittest.mock import MagicMock + + config = OVHCloudAudioTranscriptionConfig() + mock_response = MagicMock() + mock_response.json.return_value = { + "text": "Hello world", + "seconds": 3.14, + } + + result = config.transform_audio_transcription_response(mock_response) + + assert result.text == "Hello world" + assert result._hidden_params["duration"] == 3.14 + + def test_legacy_duration_field_still_works(self): + """Legacy `duration` field should still be accepted.""" + from litellm.llms.ovhcloud.audio_transcription.transformation import ( + OVHCloudAudioTranscriptionConfig, + ) + from unittest.mock import MagicMock + + config = OVHCloudAudioTranscriptionConfig() + mock_response = MagicMock() + mock_response.json.return_value = { + "text": "Hello world", + "duration": 2.71, + } + + result = config.transform_audio_transcription_response(mock_response) + + assert result.text == "Hello world" + assert result._hidden_params["duration"] == 2.71 + + + + def test_seconds_zero_mapped_to_duration(self): + """seconds=0.0 must not be treated as falsy and lost.""" + from litellm.llms.ovhcloud.audio_transcription.transformation import ( + OVHCloudAudioTranscriptionConfig, + ) + from unittest.mock import MagicMock + + config = OVHCloudAudioTranscriptionConfig() + mock_response = MagicMock() + mock_response.json.return_value = {"text": "silence", "seconds": 0.0} + result = config.transform_audio_transcription_response(mock_response) + assert result._hidden_params["duration"] == 0.0 \ No newline at end of file diff --git a/tests/test_litellm/llms/ovhcloud/test_ovhcloud_chat_transformation.py b/tests/test_litellm/llms/ovhcloud/test_ovhcloud_chat_transformation.py index a1b3b31f786..40d57c76d02 100644 --- a/tests/test_litellm/llms/ovhcloud/test_ovhcloud_chat_transformation.py +++ b/tests/test_litellm/llms/ovhcloud/test_ovhcloud_chat_transformation.py @@ -292,3 +292,78 @@ def test_ovhcloud_with_custom_base_url(): if __name__ == "__main__": pytest.main([__file__, "-v"]) + + +class TestOVHCloudReasoningFieldMigration: + """Tests for OVHCloud reasoning_content -> reasoning field migration.""" + + def test_streaming_new_reasoning_field(self): + """New `reasoning` field should be mapped to `reasoning_content`.""" + handler = OVHCloudChatCompletionStreamingHandler( + streaming_response=iter([]), + sync_stream=True, + ) + chunk = { + "id": "test-id", + "created": 1234567890, + "model": "test-model", + "choices": [ + { + "delta": { + "role": "assistant", + "reasoning": "Let me think...", + }, + "index": 0, + } + ], + } + result = handler.chunk_parser(chunk) + assert result.choices[0]["delta"]["reasoning_content"] == "Let me think..." + + def test_streaming_legacy_reasoning_content_unchanged(self): + """Legacy `reasoning_content` field should pass through untouched.""" + handler = OVHCloudChatCompletionStreamingHandler( + streaming_response=iter([]), + sync_stream=True, + ) + chunk = { + "id": "test-id", + "created": 1234567890, + "model": "test-model", + "choices": [ + { + "delta": { + "role": "assistant", + "reasoning_content": "Already correct field.", + }, + "index": 0, + } + ], + } + result = handler.chunk_parser(chunk) + assert result.choices[0]["delta"]["reasoning_content"] == "Already correct field." + + def test_streaming_both_fields_legacy_wins(self): + """When both fields present, existing `reasoning_content` is not overwritten.""" + handler = OVHCloudChatCompletionStreamingHandler( + streaming_response=iter([]), + sync_stream=True, + ) + chunk = { + "id": "test-id", + "created": 1234567890, + "model": "test-model", + "choices": [ + { + "delta": { + "reasoning": "new field", + "reasoning_content": "legacy field", + }, + "index": 0, + } + ], + } + result = handler.chunk_parser(chunk) + assert result.choices[0]["delta"]["reasoning_content"] == "legacy field" + + diff --git a/tests/test_litellm/llms/test_file_search_responses.py b/tests/test_litellm/llms/test_file_search_responses.py index 9943b456083..2f7ad3874fa 100644 --- a/tests/test_litellm/llms/test_file_search_responses.py +++ b/tests/test_litellm/llms/test_file_search_responses.py @@ -327,7 +327,7 @@ class TestFileSearchGuardInResponsesMain: class TestManagedFilesVectorStoreAccess: def _make_hook(self): """Return a ManagedFiles instance with prisma_client mocked.""" - from enterprise.litellm_enterprise.proxy.hooks.managed_files import ( + from litellm_enterprise.proxy.hooks.managed_files import ( _PROXY_LiteLLMManagedFiles as ManagedFiles, ) @@ -471,7 +471,7 @@ class TestManagedFilesVectorStoreAccess: @pytest.mark.asyncio async def test_F6_non_responses_call_type_skipped(self): """Access check only runs for aresponses/responses call types.""" - from enterprise.litellm_enterprise.proxy.hooks.managed_files import ( + from litellm_enterprise.proxy.hooks.managed_files import ( _PROXY_LiteLLMManagedFiles as ManagedFiles, ) from litellm.proxy._types import CallTypes @@ -499,7 +499,7 @@ class TestManagedFilesVectorStoreAccess: class TestGetVectorStoreIdsFromFileSearchTools: def _make_hook(self): - from enterprise.litellm_enterprise.proxy.hooks.managed_files import ( + from litellm_enterprise.proxy.hooks.managed_files import ( _PROXY_LiteLLMManagedFiles as ManagedFiles, ) diff --git a/tests/test_litellm/llms/vertex_ai/gemini/test_vertex_ai_gemini_transformation.py b/tests/test_litellm/llms/vertex_ai/gemini/test_vertex_ai_gemini_transformation.py index 977c53280a9..263fb1c6e65 100644 --- a/tests/test_litellm/llms/vertex_ai/gemini/test_vertex_ai_gemini_transformation.py +++ b/tests/test_litellm/llms/vertex_ai/gemini/test_vertex_ai_gemini_transformation.py @@ -1454,40 +1454,34 @@ def test_extract_file_data_with_path_object(): os.unlink(tmp_path) -def test_extract_file_data_with_string_path(): - """Test that filename is correctly extracted from string paths.""" +def test_extract_file_data_with_pathlib_path(): + """Test that filename is correctly extracted from pathlib.Path inputs. + Bare str paths are rejected — when this runs in a proxy request handler + the value is attacker-controlled and opening it as a path is an LFI.""" import os import tempfile + from pathlib import Path from litellm.litellm_core_utils.prompt_templates.common_utils import ( extract_file_data, ) - # Create a temporary WAV file with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as tmp: tmp.write(b"fake wav content") - tmp_path = tmp.name + tmp_path = Path(tmp.name) try: - # Test with string path extracted = extract_file_data(tmp_path) - # Verify filename was extracted assert extracted["filename"] is not None assert extracted["filename"].endswith(".wav") - - # Verify MIME type was correctly detected (can be audio/wav or audio/x-wav depending on system) assert extracted["content_type"] in [ "audio/wav", "audio/x-wav", ], f"Expected 'audio/wav' or 'audio/x-wav' but got '{extracted['content_type']}'" - - # Verify content was read assert extracted["content"] == b"fake wav content" - finally: - # Clean up temporary file - os.unlink(tmp_path) + os.unlink(str(tmp_path)) def test_extract_file_data_with_tuple_format(): @@ -1510,35 +1504,29 @@ def test_extract_file_data_with_tuple_format(): def test_extract_file_data_fallback_to_octet_stream(): - """Test that unknown file types fall back to application/octet-stream.""" + """Unknown file types fall back to application/octet-stream.""" import os import tempfile + from pathlib import Path from litellm.litellm_core_utils.prompt_templates.common_utils import ( extract_file_data, ) - # Create a temporary file with unknown extension with tempfile.NamedTemporaryFile(suffix=".xyz123", delete=False) as tmp: tmp.write(b"unknown content") - tmp_path = tmp.name + tmp_path = Path(tmp.name) try: - # Test with unknown file type extracted = extract_file_data(tmp_path) - # Verify filename was extracted assert extracted["filename"] is not None assert extracted["filename"].endswith(".xyz123") - - # Verify MIME type falls back to octet-stream assert ( extracted["content_type"] == "application/octet-stream" ), f"Expected 'application/octet-stream' for unknown type, got '{extracted['content_type']}'" - finally: - # Clean up temporary file - os.unlink(tmp_path) + os.unlink(str(tmp_path)) def test_convert_tool_response_with_pdf_file(): diff --git a/tests/test_litellm/ocr/test_ocr_file_input.py b/tests/test_litellm/ocr/test_ocr_file_input.py index 4e56aa56ee6..e6216d7c580 100644 --- a/tests/test_litellm/ocr/test_ocr_file_input.py +++ b/tests/test_litellm/ocr/test_ocr_file_input.py @@ -60,14 +60,15 @@ class TestGetMimeType: class TestConvertFileDocumentToUrlDocument: - def test_should_convert_pdf_file_path_to_document_url(self): - """File path to a PDF should produce type=document_url with base64 data URI.""" + def test_should_convert_pdf_pathlib_path_to_document_url(self): + """pathlib.Path to a PDF should produce type=document_url with base64 data URI. + Bare str paths are rejected — see test_should_reject_bare_str_path below.""" pdf_content = b"%PDF-1.4 test content" with tempfile.NamedTemporaryFile(suffix=".pdf", delete=False) as f: f.write(pdf_content) f.flush() - tmp_path = f.name + tmp_path = Path(f.name) try: result = convert_file_document_to_url_document( @@ -80,16 +81,16 @@ class TestConvertFileDocumentToUrlDocument: b64_data = result["document_url"].split(";base64,")[1] assert base64.b64decode(b64_data) == pdf_content finally: - os.unlink(tmp_path) + os.unlink(str(tmp_path)) - def test_should_convert_image_file_path_to_image_url(self): - """File path to a PNG image should produce type=image_url with base64 data URI.""" + def test_should_convert_image_pathlib_path_to_image_url(self): + """pathlib.Path to a PNG image should produce type=image_url with base64 data URI.""" png_content = b"\x89PNG\r\n\x1a\n fake png content" with tempfile.NamedTemporaryFile(suffix=".png", delete=False) as f: f.write(png_content) f.flush() - tmp_path = f.name + tmp_path = Path(f.name) try: result = convert_file_document_to_url_document( @@ -102,7 +103,16 @@ class TestConvertFileDocumentToUrlDocument: b64_data = result["image_url"].split(";base64,")[1] assert base64.b64decode(b64_data) == png_content finally: - os.unlink(tmp_path) + os.unlink(str(tmp_path)) + + def test_should_reject_bare_str_path(self): + """Bare str ``file`` values are rejected — when this runs in a proxy + request handler the value is attacker-controlled, and opening it as + a path is an arbitrary local file read on the proxy host.""" + with pytest.raises(ValueError, match="does not accept bare str values"): + convert_file_document_to_url_document( + {"type": "file", "file": "/etc/passwd"} + ) def test_should_convert_pathlib_path(self): """pathlib.Path objects should work the same as string paths.""" @@ -189,17 +199,17 @@ class TestConvertFileDocumentToUrlDocument: with pytest.raises(ValueError, match="must include a 'file' field"): convert_file_document_to_url_document({"type": "file"}) - def test_should_raise_error_for_nonexistent_file_path(self): - """Non-existent file path should raise FileNotFoundError.""" + def test_should_raise_error_for_nonexistent_pathlib_path(self): + """Non-existent pathlib.Path should raise FileNotFoundError.""" with pytest.raises(FileNotFoundError, match="File not found"): convert_file_document_to_url_document( - {"type": "file", "file": "/nonexistent/path/to/file.pdf"} + {"type": "file", "file": Path("/nonexistent/path/to/file.pdf")} ) def test_should_raise_error_for_empty_file(self): """Empty file should raise ValueError.""" with tempfile.NamedTemporaryFile(suffix=".pdf", delete=False) as f: - tmp_path = f.name + tmp_path = Path(f.name) try: with pytest.raises(ValueError, match="File is empty"): @@ -207,7 +217,7 @@ class TestConvertFileDocumentToUrlDocument: {"type": "file", "file": tmp_path} ) finally: - os.unlink(tmp_path) + os.unlink(str(tmp_path)) def test_should_raise_error_for_unsupported_type(self): """Unsupported file input types should raise ValueError.""" @@ -226,14 +236,14 @@ class TestConvertFileDocumentToUrlDocument: } ) - def test_should_override_mime_type_for_file_path(self): + def test_should_override_mime_type_for_pathlib_path(self): """Explicit mime_type should override auto-detection from extension.""" content = b"some content" with tempfile.NamedTemporaryFile(suffix=".pdf", delete=False) as f: f.write(content) f.flush() - tmp_path = f.name + tmp_path = Path(f.name) try: result = convert_file_document_to_url_document( @@ -243,7 +253,7 @@ class TestConvertFileDocumentToUrlDocument: assert result["type"] == "image_url" assert result["image_url"].startswith("data:image/png;base64,") finally: - os.unlink(tmp_path) + os.unlink(str(tmp_path)) class TestBuildDocumentFromUpload: diff --git a/tests/test_litellm/proxy/_experimental/mcp_server/test_byok_oauth_endpoints.py b/tests/test_litellm/proxy/_experimental/mcp_server/test_byok_oauth_endpoints.py index 89992c510f5..9f004318488 100644 --- a/tests/test_litellm/proxy/_experimental/mcp_server/test_byok_oauth_endpoints.py +++ b/tests/test_litellm/proxy/_experimental/mcp_server/test_byok_oauth_endpoints.py @@ -1135,3 +1135,69 @@ def test_validate_loopback_redirect_uri_rejects_malformed_cleanly(): with pytest.raises(HTTPException) as exc: validate_loopback_redirect_uri("http://[not-an-ip]/cb") assert exc.value.status_code == 400 + + +def _mock_request_with_base_url(base_url: str): + req = MagicMock() + req.base_url = base_url + req.headers = {} + return req + + +def test_validate_trusted_redirect_uri_accepts_same_origin(): + """UI OAuth flow: redirect_uri on the proxy's own origin is allowed.""" + from litellm.proxy._experimental.mcp_server.oauth_utils import ( + validate_trusted_redirect_uri, + ) + + req = _mock_request_with_base_url("https://proxy.example.com/") + # Should not raise. + validate_trusted_redirect_uri( + req, "https://proxy.example.com/ui/mcp/oauth/callback" + ) + + +def test_validate_trusted_redirect_uri_accepts_loopback(): + """Native MCP client flow: loopback is still allowed.""" + from litellm.proxy._experimental.mcp_server.oauth_utils import ( + validate_trusted_redirect_uri, + ) + + req = _mock_request_with_base_url("https://proxy.example.com/") + validate_trusted_redirect_uri(req, "http://127.0.0.1:3000/cb") + validate_trusted_redirect_uri(req, "http://localhost:3000/cb") + + +def test_validate_trusted_redirect_uri_rejects_external_origin(): + """An attacker-controlled origin must still be rejected.""" + from litellm.proxy._experimental.mcp_server.oauth_utils import ( + validate_trusted_redirect_uri, + ) + + req = _mock_request_with_base_url("https://proxy.example.com/") + with pytest.raises(HTTPException) as exc: + validate_trusted_redirect_uri(req, "https://attacker.example.com/cb") + assert exc.value.status_code == 400 + + +def test_validate_trusted_redirect_uri_rejects_scheme_mismatch(): + """https→http (or vice versa) on the same host is not same-origin.""" + from litellm.proxy._experimental.mcp_server.oauth_utils import ( + validate_trusted_redirect_uri, + ) + + req = _mock_request_with_base_url("https://proxy.example.com/") + with pytest.raises(HTTPException) as exc: + validate_trusted_redirect_uri(req, "http://proxy.example.com/ui/callback") + assert exc.value.status_code == 400 + + +def test_validate_trusted_redirect_uri_rejects_fragment(): + from litellm.proxy._experimental.mcp_server.oauth_utils import ( + validate_trusted_redirect_uri, + ) + + req = _mock_request_with_base_url("https://proxy.example.com/") + with pytest.raises(HTTPException) as exc: + validate_trusted_redirect_uri(req, "https://proxy.example.com/ui/cb#code=1") + assert exc.value.status_code == 400 diff --git a/tests/test_litellm/proxy/_experimental/mcp_server/test_discoverable_endpoints.py b/tests/test_litellm/proxy/_experimental/mcp_server/test_discoverable_endpoints.py index 85d5d6ba466..581324d47d2 100644 --- a/tests/test_litellm/proxy/_experimental/mcp_server/test_discoverable_endpoints.py +++ b/tests/test_litellm/proxy/_experimental/mcp_server/test_discoverable_endpoints.py @@ -23,6 +23,20 @@ def mock_mcp_client_ip(): yield +def _mock_callback_request(base_url: str = "http://localhost:3000/"): + """Return a MagicMock Request for callback/authorize same-origin tests. + + The callback handler only uses ``request`` to compute the proxy's own + base URL via ``get_request_base_url`` (which reads ``request.base_url`` + and trusted ``X-Forwarded-*`` headers). A simple MagicMock with the + right attributes is sufficient. + """ + req = MagicMock() + req.base_url = base_url + req.headers = {} + return req + + @pytest.fixture def trust_xff(): """Force ``IPAddressUtils.is_request_from_trusted_proxy`` to True. @@ -1844,6 +1858,7 @@ async def test_oauth_callback_redirects_with_state(): # Call callback endpoint with code and state response = await callback( + request=_mock_callback_request(), code="test_authorization_code_12345", state="encrypted_state_value", ) @@ -1887,6 +1902,7 @@ async def test_oauth_callback_preserves_client_redirect_uri_query(): } response = await callback( + request=_mock_callback_request(), code="test_authorization_code_12345", state="encrypted_state_value", ) @@ -1917,6 +1933,7 @@ async def test_oauth_callback_handles_invalid_state(): # Call callback endpoint with invalid state response = await callback( + request=_mock_callback_request(), code="test_code", state="invalid_encrypted_state", ) @@ -1926,6 +1943,40 @@ async def test_oauth_callback_handles_invalid_state(): assert "Authentication incomplete" in response.body.decode() +@pytest.mark.asyncio +async def test_oauth_callback_accepts_same_origin_ui_redirect(): + """UI OAuth flow: the callback should redirect to the proxy's own UI + origin when the encrypted state carries a same-origin client_redirect_uri.""" + from litellm.proxy._experimental.mcp_server.discoverable_endpoints import ( + callback, + ) + + with patch( + "litellm.proxy._experimental.mcp_server.discoverable_endpoints.decode_state_hash" + ) as mock_decode: + mock_decode.return_value = { + "base_url": "https://proxy.example.com/ui/mcp/oauth/callback", + "original_state": "state-123", + "code_challenge": None, + "code_challenge_method": None, + "client_redirect_uri": "https://proxy.example.com/ui/mcp/oauth/callback", + } + + response = await callback( + request=_mock_callback_request(base_url="https://proxy.example.com/"), + code="auth-code-123", + state="encrypted_state", + ) + + assert response.status_code == 302 + assert ( + "https://proxy.example.com/ui/mcp/oauth/callback" + in response.headers["location"] + ) + assert "code=auth-code-123" in response.headers["location"] + assert "state=state-123" in response.headers["location"] + + @pytest.mark.asyncio async def test_oauth_authorize_includes_scopes_from_server_config(): """Test that authorize endpoint includes scopes from server configuration.""" @@ -2307,7 +2358,11 @@ async def test_callback_revalidates_loopback_on_decoded_base_url(): "client_redirect_uri": "https://attacker.example.com/cb", } with pytest.raises(HTTPException) as exc_info: - await callback(code="stolen_code", state="encrypted_stale_state") + await callback( + request=_mock_callback_request(), + code="stolen_code", + state="encrypted_stale_state", + ) assert exc_info.value.status_code == 400 @@ -2329,7 +2384,11 @@ async def test_callback_revalidates_loopback_on_decoded_client_redirect_uri(): "client_redirect_uri": "https://attacker.example.com/cb", } with pytest.raises(HTTPException) as exc_info: - await callback(code="stolen_code", state="encrypted_stale_state") + await callback( + request=_mock_callback_request(), + code="stolen_code", + state="encrypted_stale_state", + ) assert exc_info.value.status_code == 400 @@ -2349,7 +2408,11 @@ async def test_callback_rejects_state_missing_redirect_uri(): "code_challenge_method": None, } with pytest.raises(HTTPException) as exc_info: - await callback(code="code", state="encrypted_malformed_state") + await callback( + request=_mock_callback_request(), + code="code", + state="encrypted_malformed_state", + ) assert exc_info.value.status_code == 400 diff --git a/tests/test_litellm/proxy/_experimental/mcp_server/test_mcp_server_manager.py b/tests/test_litellm/proxy/_experimental/mcp_server/test_mcp_server_manager.py index 11e9dbbdd57..b53420f0000 100644 --- a/tests/test_litellm/proxy/_experimental/mcp_server/test_mcp_server_manager.py +++ b/tests/test_litellm/proxy/_experimental/mcp_server/test_mcp_server_manager.py @@ -29,7 +29,11 @@ from litellm.proxy._experimental.mcp_server.mcp_server_manager import ( MCPServerManager, _deserialize_json_dict, ) -from litellm.proxy._types import LiteLLM_MCPServerTable, MCPTransport +from litellm.proxy._types import ( + LiteLLM_MCPServerTable, + MCPApprovalStatus, + MCPTransport, +) from litellm.types.mcp import MCPAuth from litellm.types.mcp_server.mcp_server_manager import MCPOAuthMetadata, MCPServer @@ -3311,5 +3315,126 @@ class TestOAuthDiscoverySSRFGuard: mock_client.get.assert_not_called() +class TestApprovalStatusGate: + """ + Regression tests for GHSA-gm4g-h72v-jhc3. + + The runtime registry must only contain servers an admin has approved. + A non-admin can submit a pending stdio MCP server with an attacker-chosen + command/args; before this gate, an admin opening the per-row endpoint + triggered ``add_server`` + ``health_check_server``, which spawned the + attacker's process under the proxy. The data-layer gate in + ``add_server`` / ``update_server`` blocks pending and rejected rows + from entering the registry regardless of which caller passes them in. + """ + + def _make_server(self, server_id: str, approval_status): + return LiteLLM_MCPServerTable( + server_id=server_id, + alias=f"server_{server_id}", + description="test", + url=None, + transport=MCPTransport.stdio, + command="python", + args=["-c", "print('attacker payload')"], + env={}, + approval_status=approval_status, + created_at=datetime.now(), + updated_at=datetime.now(), + ) + + @pytest.mark.parametrize( + "approval_status,expect_in_registry", + [ + (MCPApprovalStatus.pending_review, False), + (MCPApprovalStatus.rejected, False), + (MCPApprovalStatus.active, True), + # Legacy rows: NULL predates the approval workflow; "approved" is + # a legacy alias for "active" still present in older deployments. + # Both must continue to load to match the DB-level filter in + # reload_servers_from_database(). + (None, True), + ("approved", True), + ], + ) + async def test_add_server_respects_approval_status( + self, approval_status, expect_in_registry + ): + manager = MCPServerManager() + server_id = f"sid-{approval_status}" + await manager.add_server(self._make_server(server_id, approval_status)) + assert (server_id in manager.registry) is expect_in_registry + + async def test_update_server_evicts_when_transitioned_away_from_active(self): + # An admin updates a previously-active server to rejected (or pending). + # The stale registry entry must be evicted so subsequent tool calls + # and health probes can't reach it. + manager = MCPServerManager() + await manager.add_server( + self._make_server("evict-me", MCPApprovalStatus.active) + ) + assert "evict-me" in manager.registry + + await manager.update_server( + self._make_server("evict-me", MCPApprovalStatus.rejected) + ) + assert "evict-me" not in manager.registry + + async def test_update_server_eviction_clears_openapi_routing_artifacts( + self, tmp_path + ): + """Rejecting a server must remove its OpenAPI tools and name mappings.""" + from litellm.proxy._experimental.mcp_server.tool_registry import ( + global_mcp_tool_registry, + ) + from litellm.proxy._experimental.mcp_server.utils import ( + add_server_prefix_to_name, + get_server_prefix, + ) + + manager = MCPServerManager() + await manager.add_server( + self._make_server("evict-openapi", MCPApprovalStatus.active) + ) + assert "evict-openapi" in manager.registry + + server = manager.registry["evict-openapi"] + server.spec_path = str(tmp_path / "unused.yaml") + prefix = get_server_prefix(server) + prefixed = add_server_prefix_to_name("demo_tool", prefix) + + async def _noop_handler(**kwargs): + return None + + global_mcp_tool_registry.register_tool( + name=prefixed, + description="demo", + input_schema={"type": "object"}, + handler=_noop_handler, + ) + manager.tool_name_to_mcp_server_name_mapping["demo_tool"] = prefix + manager.tool_name_to_mcp_server_name_mapping[prefixed] = prefix + + await manager.update_server( + self._make_server("evict-openapi", MCPApprovalStatus.rejected) + ) + + assert "evict-openapi" not in manager.registry + assert prefixed not in global_mcp_tool_registry.tools + assert "demo_tool" not in manager.tool_name_to_mcp_server_name_mapping + assert prefixed not in manager.tool_name_to_mcp_server_name_mapping + + async def test_update_server_noop_for_unregistered_pending(self): + # update_server called with a pending row that was never registered + # should silently return without adding it. Locks in the early-return + # so a future refactor can't accidentally route the pending row to + # build_mcp_server_from_table. + manager = MCPServerManager() + await manager.update_server( + self._make_server("never-seen", MCPApprovalStatus.pending_review) + ) + assert "never-seen" not in manager.registry + + if __name__ == "__main__": pytest.main([__file__]) diff --git a/tests/test_litellm/proxy/auth/test_handle_jwt.py b/tests/test_litellm/proxy/auth/test_handle_jwt.py index b7dba9c1d16..90c5d4f4fc5 100644 --- a/tests/test_litellm/proxy/auth/test_handle_jwt.py +++ b/tests/test_litellm/proxy/auth/test_handle_jwt.py @@ -1,5 +1,5 @@ from typing import Optional -from unittest.mock import AsyncMock, patch +from unittest.mock import AsyncMock, MagicMock, patch import pytest @@ -494,6 +494,80 @@ async def test_sync_user_role_and_teams_no_cache_write_when_nothing_changes(): mock_cache.async_set_cache.assert_not_called() +def test_get_all_jwt_team_ids_unions_singular_and_plural(): + """get_all_jwt_team_ids must include the singular team_id_jwt_field claim + in addition to the plural team_ids_jwt_field, deduplicated.""" + jwt_handler = JWTHandler() + jwt_handler.update_environment( + prisma_client=None, + user_api_key_cache=MagicMock(), + litellm_jwtauth=LiteLLM_JWTAuth( + team_id_jwt_field="team_id", + team_ids_jwt_field="teams", + ), + ) + + # singular only — Okta/Auth0 default shape + assert jwt_handler.get_all_jwt_team_ids({"team_id": "team-low"}) == ["team-low"] + + # plural only — pre-fix shape + assert jwt_handler.get_all_jwt_team_ids({"teams": ["a", "b"]}) == ["a", "b"] + + # both populated, no overlap + assert jwt_handler.get_all_jwt_team_ids( + {"team_id": "primary", "teams": ["a", "b"]} + ) == ["a", "b", "primary"] + + # both populated with overlap — singular dedup'd + assert jwt_handler.get_all_jwt_team_ids({"team_id": "a", "teams": ["a", "b"]}) == [ + "a", + "b", + ] + + # singular field as multi-element list (some IdPs) — merge all, preserve plural-first order + assert jwt_handler.get_all_jwt_team_ids( + {"team_id": ["primary", "secondary"], "teams": ["a"]} + ) == ["a", "primary", "secondary"] + + # neither populated + assert jwt_handler.get_all_jwt_team_ids({}) == [] + + +def test_get_all_jwt_team_ids_does_not_use_team_id_default(): + """team_id_default is a JWT-bearer-flow auth-builder fallback, not a token + claim. It must NOT leak into get_all_jwt_team_ids — otherwise SSO logins + would silently start adding users to the default team for any tenant that + has team_id_default configured.""" + jwt_handler = JWTHandler() + jwt_handler.update_environment( + prisma_client=None, + user_api_key_cache=MagicMock(), + litellm_jwtauth=LiteLLM_JWTAuth( + team_id_jwt_field="team_id", + team_ids_jwt_field="teams", + team_id_default="default-team", + ), + ) + + # team_id claim missing — must not fall back to default-team + assert jwt_handler.get_all_jwt_team_ids({"teams": []}) == [] + assert jwt_handler.get_all_jwt_team_ids({}) == [] + + # only the plural is populated — default still must not be added + assert jwt_handler.get_all_jwt_team_ids({"teams": ["a"]}) == ["a"] + + # team_id_jwt_field unset entirely + only default configured: still no default + jwt_handler.update_environment( + prisma_client=None, + user_api_key_cache=MagicMock(), + litellm_jwtauth=LiteLLM_JWTAuth( + team_ids_jwt_field="teams", + team_id_default="default-team", + ), + ) + assert jwt_handler.get_all_jwt_team_ids({"teams": []}) == [] + + @pytest.mark.asyncio async def test_map_jwt_role_to_litellm_role(): """Test JWT role mapping to LiteLLM roles with various patterns""" diff --git a/tests/test_litellm/proxy/auth/test_route_checks.py b/tests/test_litellm/proxy/auth/test_route_checks.py index 9c1cd116e69..fa56383e9bb 100644 --- a/tests/test_litellm/proxy/auth/test_route_checks.py +++ b/tests/test_litellm/proxy/auth/test_route_checks.py @@ -53,14 +53,20 @@ def test_non_admin_config_update_route_rejected(): assert "Your role=internal_user" in str(exc_info.value) +@pytest.mark.parametrize( + "role", + [ + LitellmUserRoles.INTERNAL_USER.value, + LitellmUserRoles.INTERNAL_USER_VIEW_ONLY.value, + ], +) @pytest.mark.parametrize( "route", ["/compliance/eu-ai-act", "/compliance/gdpr"], ) -def test_compliance_routes_open_to_internal_user(route): +def test_compliance_routes_open_to_non_admin_roles(role, route): """Compliance routes are stateless validators on caller-supplied log data - - non-admin internal_user roles can call them.""" - role = LitellmUserRoles.INTERNAL_USER.value + — both non-admin internal_user roles can call them.""" user_obj = LiteLLM_UserTable( user_id="test_user", user_email="test@example.com", @@ -80,56 +86,6 @@ def test_compliance_routes_open_to_internal_user(route): ) -def test_health_test_connection_route_delegates_internal_user_auth_to_endpoint(): - """Team model test-connection requests are authorized by the endpoint.""" - role = LitellmUserRoles.INTERNAL_USER.value - user_obj = LiteLLM_UserTable( - user_id="test_user", - user_email="test@example.com", - user_role=role, - ) - valid_token = UserAPIKeyAuth(user_id="test_user", user_role=role) - request = MagicMock(spec=Request) - request.query_params = {} - - RouteChecks.non_proxy_admin_allowed_routes_check( - user_obj=user_obj, - _user_role=role, - route="/health/test_connection", - request=request, - valid_token=valid_token, - request_data={}, - ) - - -@pytest.mark.parametrize( - "route", - ["/compliance/eu-ai-act", "/compliance/gdpr"], -) -def test_compliance_routes_blocked_for_internal_user_view_only(route): - """Deprecated internal_user_viewer role must not gain compliance route access.""" - role = LitellmUserRoles.INTERNAL_USER_VIEW_ONLY.value - user_obj = LiteLLM_UserTable( - user_id="test_user", - user_email="test@example.com", - user_role=role, - ) - valid_token = UserAPIKeyAuth(user_id="test_user", user_role=role) - request = MagicMock(spec=Request) - request.query_params = {} - - with pytest.raises(Exception) as exc_info: - RouteChecks.non_proxy_admin_allowed_routes_check( - user_obj=user_obj, - _user_role=role, - route=route, - request=request, - valid_token=valid_token, - request_data={}, - ) - assert "Only proxy admin can be used" in str(exc_info.value) - - def test_proxy_admin_viewer_config_update_route_rejected(): """Test that proxy admin viewer users are rejected when trying to call /config/update""" @@ -1933,6 +1889,41 @@ def test_non_admin_non_team_admin_cannot_access_config_update_but_can_attempt_re assert "Only proxy admin can be used to generate" in str(exc_info.value) +@pytest.mark.parametrize( + "user_role", + [ + LitellmUserRoles.INTERNAL_USER.value, + LitellmUserRoles.INTERNAL_USER_VIEW_ONLY.value, + ], +) +@pytest.mark.parametrize("route", ["/tag/list", "/tag/daily/activity"]) +def test_internal_users_can_access_scoped_tag_usage_routes(user_role, route): + """ + Internal users can read tag usage endpoints because the endpoint handlers + scope results to the caller's own keys. + """ + user_obj = LiteLLM_UserTable( + user_id="test_user", + user_email="test@example.com", + user_role=user_role, + ) + valid_token = UserAPIKeyAuth( + user_id="test_user", + user_role=user_role, + ) + request = MagicMock(spec=Request) + request.query_params = {} + + RouteChecks.non_proxy_admin_allowed_routes_check( + user_obj=user_obj, + _user_role=user_role, + route=route, + request=request, + valid_token=valid_token, + request_data={}, + ) + + @pytest.mark.parametrize( "user_role", [ 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 50c5f43b218..442625c75a7 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 @@ -31,8 +31,10 @@ from litellm.proxy.auth.handle_jwt import JWTHandler from litellm.proxy.auth.auth_checks import get_key_object, _cache_key_object from litellm.proxy.auth.route_checks import RouteChecks from litellm.proxy.auth.user_api_key_auth import ( - _route_requires_auth_despite_public, + _matches_routing_override, _reserve_budget_after_common_checks, + _route_requires_auth_despite_public, + _routing_selector_matches_claim, _run_centralized_common_checks, _run_post_custom_auth_checks, get_api_key, @@ -594,6 +596,151 @@ def _assert_get_api_key_with_custom_litellm_key_header( ) == (api_key, passed_in_key) +@pytest.mark.parametrize( + "selector_value, claim_value, expected, split_space_delimited", + [ + (None, "any-value", True, False), + ("issuer.example.com", "issuer.example.com", True, False), + ("issuer.example.com", "other-issuer.example.com", False, False), + # iss (and other non-scope claims) must not match via space-split injection + ( + "trusted.example.com", + "trusted.example.com attacker.example.com", + False, + False, + ), + # Wildcard iss must not match space-containing claim strings (fnmatch * spans spaces) + ( + "trusted.*", + "trusted.example.com attacker.example.com", + False, + False, + ), + ("trusted.*", "trusted.example.com", True, False), + ( + ["issuer-a.example.com", "issuer-b.example.com"], + "issuer-b.example.com", + True, + False, + ), + ("*MID_LITELLM", "STREAM_MID_LITELLM", True, False), + ("*MID_LITELLM", "REDIS_LITELLM", False, False), + ("machine-??", "machine-01", True, False), + ("machine-??", "machine-001", False, False), + # Wildcard matching is case-sensitive (fnmatch.fnmatchcase) + ("*litellm", "BATCH_LITELLM", False, False), + ("*LITELLM", "BATCH_LITELLM", True, False), + ("App:LiteLLM", "App:LiteLLM openid", True, True), + ("App:*", "App:LiteLLM openid", True, True), + (["openid", "App:LiteLLM"], "openid profile", True, True), + (["service-*", "batch-*"], "batch-123", True, False), + (["service-*", "batch-*"], "other-123", False, False), + ("App:LiteLLM", ["openid", "App:LiteLLM"], True, False), + ("App:LiteLLM", None, False, False), + ], +) +def test_routing_selector_matches_claim_parametrized( + selector_value, claim_value, expected, split_space_delimited +): + assert ( + _routing_selector_matches_claim( + selector_value=selector_value, + claim_value=claim_value, + split_space_delimited=split_space_delimited, + ) + is expected + ) + + +@pytest.mark.parametrize( + "override, token_claims, expected", + [ + # Only iss selector is required and should match. + ( + JWTRoutingOverride(iss="oauth-issuer.example.com", path="oauth2"), + {"iss": "oauth-issuer.example.com"}, + True, + ), + # Scope selector narrows the match. + ( + JWTRoutingOverride( + iss="oauth-issuer.example.com", + scope="App:LiteLLM", + path="oauth2", + ), + {"iss": "oauth-issuer.example.com", "scope": "App:LiteLLM openid"}, + True, + ), + # client_id wildcard selector narrows the match. + ( + JWTRoutingOverride( + iss="oauth-issuer.example.com", + client_id="*MID_LITELLM", + path="oauth2", + ), + {"iss": "oauth-issuer.example.com", "client_id": "BATCH_MID_LITELLM"}, + True, + ), + ( + JWTRoutingOverride( + iss="oauth-issuer.example.com", + client_id="*MID_LITELLM", + path="oauth2", + ), + {"iss": "oauth-issuer.example.com", "client_id": "BATCH_PORTAL"}, + False, + ), + # aud selector still works with list claims. + ( + JWTRoutingOverride( + iss="oauth-issuer.example.com", + aud=["api://litellm", "api://fallback"], + path="oauth2", + ), + { + "iss": "oauth-issuer.example.com", + "aud": ["api://other", "api://litellm"], + }, + True, + ), + # All provided selectors are AND-ed. + ( + JWTRoutingOverride( + iss="oauth-issuer.example.com", + scope="App:LiteLLM", + client_id="*MID_LITELLM", + path="oauth2", + ), + { + "iss": "oauth-issuer.example.com", + "scope": "App:LiteLLM openid", + "client_id": "BATCH_MID_LITELLM", + }, + True, + ), + ( + JWTRoutingOverride( + iss="oauth-issuer.example.com", + scope="App:LiteLLM", + client_id="*MID_LITELLM", + path="oauth2", + ), + { + "iss": "oauth-issuer.example.com", + "scope": "App:Other openid", + "client_id": "BATCH_MID_LITELLM", + }, + False, + ), + ], +) +def test_matches_routing_override_parametrized(override, token_claims, expected): + assert ( + _matches_routing_override(token_claims=token_claims, override=override) + is expected + ) + + def test_get_api_key_with_custom_litellm_key_header_bearer_prefix(): token = "sk-" + "1" * 8 header = f"Bearer {token}" @@ -1601,6 +1748,206 @@ class TestJWTOAuth2Coexistence: mock_jwt_auth.assert_not_called() assert result.user_id == "machine-client-aud-list" + @pytest.mark.asyncio + async def test_routing_override_matches_scope_claim(self): + """ + Match routing override when scope selector is configured and scope claim matches. + """ + jwt_token = ( + "eyJhbGciOiJSUzI1NiJ9." + "eyJpc3MiOiJvYXV0aC1pc3N1ZXIuZXhhbXBsZS5jb20iLCJzY29wZSI6IkFwcDpMaXRlTExNIiwiY2xpZW50X2lkIjoiTUFDSElORV9NSURfTElURUxMTSJ9." + "c2ln" + ) + general_settings = { + "enable_oauth2_auth": False, + "enable_jwt_auth": True, + } + mock_oauth2_response = UserAPIKeyAuth( + api_key=jwt_token, + user_id="machine-client-scope-match", + ) + + mock_request = MagicMock() + mock_request.url.path = "/v1/chat/completions" + mock_request.headers = {"authorization": f"Bearer {jwt_token}"} + mock_request.query_params = {} + + with ( + patch("litellm.proxy.proxy_server.general_settings", general_settings), + patch("litellm.proxy.proxy_server.premium_user", True), + patch("litellm.proxy.proxy_server.master_key", "sk-master"), + patch("litellm.proxy.proxy_server.prisma_client", None), + patch( + "litellm.proxy.auth.user_api_key_auth.Oauth2Handler.check_oauth2_token", + new_callable=AsyncMock, + return_value=mock_oauth2_response, + ) as mock_oauth2, + patch( + "litellm.proxy.auth.user_api_key_auth.JWTAuthManager.auth_builder", + new_callable=AsyncMock, + ) as mock_jwt_auth, + ): + litellm.proxy.proxy_server.jwt_handler.update_environment( + prisma_client=None, + user_api_key_cache=DualCache(), + litellm_jwtauth=LiteLLM_JWTAuth( + routing_overrides=[ + JWTRoutingOverride( + iss="oauth-issuer.example.com", + scope="App:LiteLLM", + path="oauth2", + ) + ] + ), + ) + + result = await user_api_key_auth( + request=mock_request, + api_key=f"Bearer {jwt_token}", + ) + + mock_oauth2.assert_called_once_with(token=jwt_token) + mock_jwt_auth.assert_not_called() + assert result.user_id == "machine-client-scope-match" + + @pytest.mark.asyncio + async def test_routing_override_scope_mismatch_falls_back_to_jwt(self): + """ + If scope selector does not match, continue default JWT flow. + """ + jwt_token = ( + "eyJhbGciOiJSUzI1NiJ9." + "eyJpc3MiOiJvYXV0aC1pc3N1ZXIuZXhhbXBsZS5jb20iLCJzY29wZSI6IkFwcDpPdGhlciIsImNsaWVudF9pZCI6IlBPUlRBTF9NSURfTElURUxMTSJ9." + "c2ln" + ) + general_settings = { + "enable_oauth2_auth": False, + "enable_jwt_auth": True, + } + mock_jwt_result = { + "is_proxy_admin": True, + "team_object": None, + "user_object": None, + "end_user_object": None, + "org_object": None, + "token": jwt_token, + "team_id": "jwt-team", + "user_id": "jwt-user-scope-mismatch", + "end_user_id": None, + "org_id": None, + "team_membership": None, + "jwt_claims": {"sub": "user1"}, + } + + mock_request = MagicMock() + mock_request.url.path = "/v1/chat/completions" + mock_request.headers = {"authorization": f"Bearer {jwt_token}"} + mock_request.query_params = {} + + with ( + patch("litellm.proxy.proxy_server.general_settings", general_settings), + patch("litellm.proxy.proxy_server.premium_user", True), + patch("litellm.proxy.proxy_server.master_key", "sk-master"), + patch("litellm.proxy.proxy_server.prisma_client", None), + patch( + "litellm.proxy.auth.user_api_key_auth.Oauth2Handler.check_oauth2_token", + new_callable=AsyncMock, + ) as mock_oauth2, + patch( + "litellm.proxy.auth.user_api_key_auth.JWTAuthManager.auth_builder", + new_callable=AsyncMock, + return_value=mock_jwt_result, + ) as mock_jwt_auth, + ): + litellm.proxy.proxy_server.jwt_handler.update_environment( + prisma_client=None, + user_api_key_cache=DualCache(), + litellm_jwtauth=LiteLLM_JWTAuth( + routing_overrides=[ + JWTRoutingOverride( + iss="oauth-issuer.example.com", + scope="App:LiteLLM", + path="oauth2", + ) + ] + ), + ) + + result = await user_api_key_auth( + request=mock_request, + api_key=f"Bearer {jwt_token}", + ) + + mock_oauth2.assert_not_called() + mock_jwt_auth.assert_called_once() + assert result.user_id == "jwt-user-scope-mismatch" + + @pytest.mark.asyncio + async def test_routing_override_matches_scope_and_client_wildcard_when_scope_claim_is_space_delimited( + self, + ): + """ + Integration check: combined scope + wildcard selectors match on OAuth2 path + when scope claim is a space-delimited string. + """ + jwt_token = ( + "eyJhbGciOiJSUzI1NiJ9." + "eyJpc3MiOiJvYXV0aC1pc3N1ZXIuZXhhbXBsZS5jb20iLCJzY29wZSI6IkFwcDpMaXRlTExNIG9wZW5pZCIsImNsaWVudF9pZCI6IkJBVENIX01JRF9MSVRFTExNIn0." + "c2ln" + ) + general_settings = { + "enable_oauth2_auth": False, + "enable_jwt_auth": True, + } + mock_oauth2_response = UserAPIKeyAuth( + api_key=jwt_token, + user_id="machine-client-space-delimited-scope-match", + ) + + mock_request = MagicMock() + mock_request.url.path = "/v1/chat/completions" + mock_request.headers = {"authorization": f"Bearer {jwt_token}"} + mock_request.query_params = {} + + with ( + patch("litellm.proxy.proxy_server.general_settings", general_settings), + patch("litellm.proxy.proxy_server.premium_user", True), + patch("litellm.proxy.proxy_server.master_key", "sk-master"), + patch("litellm.proxy.proxy_server.prisma_client", None), + patch( + "litellm.proxy.auth.user_api_key_auth.Oauth2Handler.check_oauth2_token", + new_callable=AsyncMock, + return_value=mock_oauth2_response, + ) as mock_oauth2, + patch( + "litellm.proxy.auth.user_api_key_auth.JWTAuthManager.auth_builder", + new_callable=AsyncMock, + ) as mock_jwt_auth, + ): + litellm.proxy.proxy_server.jwt_handler.update_environment( + prisma_client=None, + user_api_key_cache=DualCache(), + litellm_jwtauth=LiteLLM_JWTAuth( + routing_overrides=[ + JWTRoutingOverride( + iss="oauth-issuer.example.com", + scope="App:LiteLLM", + client_id="*MID_LITELLM", + path="oauth2", + ) + ] + ), + ) + + result = await user_api_key_auth( + request=mock_request, + api_key=f"Bearer {jwt_token}", + ) + + mock_oauth2.assert_called_once_with(token=jwt_token) + mock_jwt_auth.assert_not_called() + assert result.user_id == "machine-client-space-delimited-scope-match" + @pytest.mark.asyncio async def test_routing_override_routes_jwt_to_oauth2_when_oauth2_globally_disabled( self, diff --git a/tests/test_litellm/proxy/common_utils/test_key_rotation_e2e.py b/tests/test_litellm/proxy/common_utils/test_key_rotation_e2e.py index f6ef02a86de..d6e1d22fdde 100644 --- a/tests/test_litellm/proxy/common_utils/test_key_rotation_e2e.py +++ b/tests/test_litellm/proxy/common_utils/test_key_rotation_e2e.py @@ -13,7 +13,9 @@ Covers the critical gaps: import os import sys from datetime import datetime, timedelta, timezone +from typing import cast from unittest.mock import AsyncMock, MagicMock, patch +from uuid import uuid4 import pytest @@ -24,6 +26,11 @@ from litellm.proxy._types import ( LiteLLM_VerificationToken, ) from litellm.proxy.common_utils.key_rotation_manager import KeyRotationManager +from litellm.proxy.utils import ( + PrismaClient, + _deprecated_key_cache, + _lookup_deprecated_key, +) class TestMultiPodKeyRotation: @@ -557,3 +564,85 @@ class TestKeyRotationInitialization: assert acquire_call.kwargs.get("cronjob_id") == KEY_ROTATION_JOB_NAME assert release_call.kwargs.get("cronjob_id") == KEY_ROTATION_JOB_NAME + + +class TestDeprecatedKeyLookupDbE2E: + """DB-backed integration tests for deprecated key lookup behavior.""" + + @pytest.mark.asyncio + async def test_deprecated_key_grace_period_cache_hit_path(self): + """ + End-to-end validation against a real Prisma-backed DB: + - old key hash resolves through LiteLLM_DeprecatedVerificationToken + - repeated lookups hit the in-memory deprecated-key cache + - no ValueError/401 regression on subsequent requests + """ + database_url = os.getenv("DATABASE_URL") + if not database_url: + pytest.skip("DATABASE_URL not set; skipping DB-backed key-rotation E2E test.") + db_url = cast(str, database_url) + + proxy_logging_obj = MagicMock() + proxy_logging_obj.failure_handler = AsyncMock() + prisma_client = PrismaClient( + database_url=db_url, proxy_logging_obj=proxy_logging_obj + ) + + old_token_hash = f"old-{uuid4().hex}" + active_token_hash = f"active-{uuid4().hex}" + _deprecated_key_cache.clear() + + await prisma_client.connect() + try: + await prisma_client.db.litellm_verificationtoken.create( + data={ + "token": active_token_hash, + "models": [], + } + ) + + await prisma_client.db.litellm_deprecatedverificationtoken.create( + data={ + "token": old_token_hash, + "active_token_id": active_token_hash, + "revoke_at": datetime.now(timezone.utc) + timedelta(minutes=5), + } + ) + + # Request 1 (DB path) + Request 2/3 (cache-hit path) + r1 = await _lookup_deprecated_key( + db=prisma_client.db, + hashed_token=old_token_hash, + ) + r2 = await _lookup_deprecated_key( + db=prisma_client.db, + hashed_token=old_token_hash, + ) + r3 = await _lookup_deprecated_key( + db=prisma_client.db, + hashed_token=old_token_hash, + ) + + assert r1 == active_token_hash + assert r2 == active_token_hash + assert r3 == active_token_hash + + cached = _deprecated_key_cache.get(old_token_hash) + assert isinstance(cached, tuple) + assert len(cached) == 3 + finally: + # Best-effort cleanup for idempotent reruns. + try: + await prisma_client.db.litellm_deprecatedverificationtoken.delete_many( + where={"token": old_token_hash} + ) + except Exception: + pass + try: + await prisma_client.db.litellm_verificationtoken.delete_many( + where={"token": active_token_hash} + ) + except Exception: + pass + _deprecated_key_cache.clear() + await prisma_client.disconnect() diff --git a/tests/test_litellm/proxy/common_utils/test_reset_budget_job.py b/tests/test_litellm/proxy/common_utils/test_reset_budget_job.py index 5c86f9057a1..8a47c78db05 100644 --- a/tests/test_litellm/proxy/common_utils/test_reset_budget_job.py +++ b/tests/test_litellm/proxy/common_utils/test_reset_budget_job.py @@ -39,6 +39,46 @@ class MockLiteLLMVerificationToken: return {"count": 1} +class MockLiteLLMOrganizationTable: + def __init__(self): + self.update_many_calls: List[Dict[str, Any]] = [] + self.find_many_calls: List[Dict[str, Any]] = [] + self._find_many_results: List[Any] = [] + + def set_find_many_results(self, results: List[Any]): + self._find_many_results = results + + async def find_many(self, where: Dict[str, Any]) -> List[Any]: + self.find_many_calls.append({"where": where}) + return self._find_many_results + + async def update_many( + self, where: Dict[str, Any], data: Dict[str, Any] + ) -> Dict[str, Any]: + self.update_many_calls.append({"where": where, "data": data}) + return {"count": 1} + + +class MockLiteLLMTagTable: + def __init__(self): + self.update_many_calls: List[Dict[str, Any]] = [] + self.find_many_calls: List[Dict[str, Any]] = [] + self._find_many_results: List[Any] = [] + + def set_find_many_results(self, results: List[Any]): + self._find_many_results = results + + async def find_many(self, where: Dict[str, Any]) -> List[Any]: + self.find_many_calls.append({"where": where}) + return self._find_many_results + + async def update_many( + self, where: Dict[str, Any], data: Dict[str, Any] + ) -> Dict[str, Any]: + self.update_many_calls.append({"where": where, "data": data}) + return {"count": 1} + + class MockLiteLLMEndUserTable: def __init__(self): self.find_many_calls: List[Dict[str, Any]] = [] @@ -57,6 +97,8 @@ class MockDB: self.litellm_teammembership = MockLiteLLMTeamMembership() self.litellm_verificationtoken = MockLiteLLMVerificationToken() self.litellm_endusertable = MockLiteLLMEndUserTable() + self.litellm_organizationtable = MockLiteLLMOrganizationTable() + self.litellm_tagtable = MockLiteLLMTagTable() class MockPrismaClient: @@ -459,6 +501,100 @@ def test_reset_budget_for_keys_linked_to_budgets_empty( assert len(calls) == 0 +def test_reset_budget_for_orgs_linked_to_budgets(reset_budget_job, mock_prisma_client): + """ + Test that when a budget tier is reset, orgs linked to that budget + (via budget_id) also get their spend reset. + """ + now = datetime.now(timezone.utc) + + test_budget = type( + "LiteLLM_BudgetTableFull", + (), + { + "max_budget": 100.0, + "budget_duration": "30d", + "budget_reset_at": now - timedelta(hours=1), + "budget_id": "30d-org-budget", + "created_at": now - timedelta(days=30), + }, + ) + + asyncio.run( + reset_budget_job.reset_budget_for_orgs_linked_to_budgets( + budgets_to_reset=[test_budget] + ) + ) + + calls = mock_prisma_client.db.litellm_organizationtable.update_many_calls + assert len(calls) == 1 + call = calls[0] + assert call["where"]["budget_id"] == {"in": ["30d-org-budget"]} + assert call["where"]["spend"] == {"gt": 0} + assert call["data"]["spend"] == 0 + + +def test_reset_budget_for_orgs_linked_to_budgets_empty( + reset_budget_job, mock_prisma_client +): + """ + Test that when there are no budgets to reset, no update is performed + on the organization table. + """ + asyncio.run( + reset_budget_job.reset_budget_for_orgs_linked_to_budgets(budgets_to_reset=[]) + ) + calls = mock_prisma_client.db.litellm_organizationtable.update_many_calls + assert len(calls) == 0 + + +def test_reset_budget_for_tags_linked_to_budgets(reset_budget_job, mock_prisma_client): + """ + Test that when a budget tier is reset, tags linked to that budget + (via budget_id) also get their spend reset. + """ + now = datetime.now(timezone.utc) + + test_budget = type( + "LiteLLM_BudgetTableFull", + (), + { + "max_budget": 50.0, + "budget_duration": "30d", + "budget_reset_at": now - timedelta(hours=1), + "budget_id": "30d-tag-budget", + "created_at": now - timedelta(days=30), + }, + ) + + asyncio.run( + reset_budget_job.reset_budget_for_tags_linked_to_budgets( + budgets_to_reset=[test_budget] + ) + ) + + calls = mock_prisma_client.db.litellm_tagtable.update_many_calls + assert len(calls) == 1 + call = calls[0] + assert call["where"]["budget_id"] == {"in": ["30d-tag-budget"]} + assert call["where"]["spend"] == {"gt": 0} + assert call["data"]["spend"] == 0 + + +def test_reset_budget_for_tags_linked_to_budgets_empty( + reset_budget_job, mock_prisma_client +): + """ + Test that when there are no budgets to reset, no update is performed + on the tag table. + """ + asyncio.run( + reset_budget_job.reset_budget_for_tags_linked_to_budgets(budgets_to_reset=[]) + ) + calls = mock_prisma_client.db.litellm_tagtable.update_many_calls + assert len(calls) == 0 + + @pytest.mark.parametrize( "budget_duration, expected_day, expected_month", [ @@ -618,6 +754,75 @@ def test_budget_table_reset_also_resets_linked_keys( assert calls[0]["data"]["spend"] == 0 +def test_budget_table_reset_also_resets_linked_orgs( + reset_budget_job, mock_prisma_client +): + """ + Integration-style test: when reset_budget_for_litellm_budget_table runs, + it should also reset spend for orgs linked to the expiring budget tiers + (in addition to end-users, team members, and keys). + """ + now = datetime.now(timezone.utc) + + test_budget = type( + "LiteLLM_BudgetTableFull", + (), + { + "max_budget": 100.0, + "budget_duration": "30d", + "budget_reset_at": now - timedelta(hours=1), + "budget_id": "30d-org-budget", + "created_at": now - timedelta(days=30), + }, + ) + + mock_prisma_client.data["budget"] = [test_budget] + + asyncio.run(reset_budget_job.reset_budget_for_litellm_budget_table()) + + calls = mock_prisma_client.db.litellm_organizationtable.update_many_calls + assert len(calls) == 1, ( + "Expected reset_budget_for_litellm_budget_table to also reset orgs " + f"linked to expiring budgets, but got {len(calls)} update_many calls" + ) + assert calls[0]["where"]["budget_id"] == {"in": ["30d-org-budget"]} + assert calls[0]["data"]["spend"] == 0 + + +def test_budget_table_reset_also_resets_linked_tags( + reset_budget_job, mock_prisma_client +): + """ + Integration-style test: when reset_budget_for_litellm_budget_table runs, + it should also reset spend for tags linked to the expiring budget tiers. + """ + now = datetime.now(timezone.utc) + + test_budget = type( + "LiteLLM_BudgetTableFull", + (), + { + "max_budget": 50.0, + "budget_duration": "30d", + "budget_reset_at": now - timedelta(hours=1), + "budget_id": "30d-tag-budget", + "created_at": now - timedelta(days=30), + }, + ) + + mock_prisma_client.data["budget"] = [test_budget] + + asyncio.run(reset_budget_job.reset_budget_for_litellm_budget_table()) + + calls = mock_prisma_client.db.litellm_tagtable.update_many_calls + assert len(calls) == 1, ( + "Expected reset_budget_for_litellm_budget_table to also reset tags " + f"linked to expiring budgets, but got {len(calls)} update_many calls" + ) + assert calls[0]["where"]["budget_id"] == {"in": ["30d-tag-budget"]} + assert calls[0]["data"]["spend"] == 0 + + def test_reset_budget_resets_endusers_with_null_budget_id( reset_budget_job, mock_prisma_client ): @@ -1057,16 +1262,26 @@ def test_reset_budget_windows_query_error_does_not_break_team_path(monkeypatch): def _make_counter_invalidation_job(monkeypatch): - """Stub spend_counter_cache so we can observe invalidation calls.""" + """Stub spend_counter_cache (and user_api_key_cache) so we can observe + invalidation calls. + + Both caches are looked up via ``from litellm.proxy.proxy_server import + `` inside the reset job, so we publish them on a fake module. + """ spend_counter_cache = MagicMock() spend_counter_cache.in_memory_cache.set_cache = MagicMock() spend_counter_cache.redis_cache = MagicMock() spend_counter_cache.redis_cache.async_set_cache = AsyncMock() + user_api_key_cache = MagicMock() + user_api_key_cache.async_delete_cache = AsyncMock() + fake_module = types.ModuleType("litellm.proxy.proxy_server") fake_module.spend_counter_cache = spend_counter_cache + fake_module.user_api_key_cache = user_api_key_cache monkeypatch.setitem(sys.modules, "litellm.proxy.proxy_server", fake_module) + spend_counter_cache.user_api_key_cache = user_api_key_cache return spend_counter_cache @@ -1205,3 +1420,223 @@ def test_reset_budget_for_keys_linked_to_budgets_invalidates_redis_counter(monke counter_cache.in_memory_cache.set_cache.assert_any_call( key="spend:key:sk-linked", value=0.0, ttl=60 ) + + +def test_reset_budget_for_orgs_linked_to_budgets_invalidates_redis_counter(monkeypatch): + """Resetting orgs via budget tier must clear each linked org's counter.""" + counter_cache = _make_counter_invalidation_job(monkeypatch) + + expired_budget = type("B", (), {"budget_id": "budget-1"}) + linked_org = type("Org", (), {"organization_id": "org-acme"}) + + prisma_client = MagicMock() + prisma_client.db.litellm_organizationtable.find_many = AsyncMock( + return_value=[linked_org] + ) + prisma_client.db.litellm_organizationtable.update_many = AsyncMock( + return_value={"count": 1} + ) + + job = ResetBudgetJob(proxy_logging_obj=MagicMock(), prisma_client=prisma_client) + asyncio.run(job.reset_budget_for_orgs_linked_to_budgets([expired_budget])) + + counter_cache.in_memory_cache.set_cache.assert_any_call( + key="spend:org:org-acme", value=0.0, ttl=60 + ) + counter_cache.redis_cache.async_set_cache.assert_any_await( + key="spend:org:org-acme", value=0.0, ttl=60 + ) + + +def test_reset_budget_for_tags_linked_to_budgets_invalidates_redis_counter(monkeypatch): + """Resetting tags via budget tier must clear each linked tag's counter.""" + counter_cache = _make_counter_invalidation_job(monkeypatch) + + expired_budget = type("B", (), {"budget_id": "budget-1"}) + linked_tag = type("Tag", (), {"tag_name": "tenant-42"}) + + prisma_client = MagicMock() + prisma_client.db.litellm_tagtable.find_many = AsyncMock(return_value=[linked_tag]) + prisma_client.db.litellm_tagtable.update_many = AsyncMock(return_value={"count": 1}) + + job = ResetBudgetJob(proxy_logging_obj=MagicMock(), prisma_client=prisma_client) + asyncio.run(job.reset_budget_for_tags_linked_to_budgets([expired_budget])) + + counter_cache.in_memory_cache.set_cache.assert_any_call( + key="spend:tag:tenant-42", value=0.0, ttl=60 + ) + counter_cache.redis_cache.async_set_cache.assert_any_await( + key="spend:tag:tenant-42", value=0.0, ttl=60 + ) + + +def test_reset_budget_for_tags_linked_to_budgets_invalidates_management_cache( + monkeypatch, +): + """Regression guard for the bug where tag spend stayed frozen across cycles. + + ``SpendCounterReseed.from_db`` returns ``None`` for ``spend:tag:*`` keys, + so once the spend counter expires the tag budget check falls back to the + cached ``LiteLLM_TagTable.spend``. If we don't drop the management cache + entry on reset, that cached object lingers (TTL 60s) with the pre-reset + spend, and ``_tag_max_budget_check`` keeps returning HTTP 400 even though + the DB row has been zeroed. + """ + counter_cache = _make_counter_invalidation_job(monkeypatch) + + expired_budget = type("B", (), {"budget_id": "budget-1"}) + linked_tag = type("Tag", (), {"tag_name": "tenant-42"}) + + prisma_client = MagicMock() + prisma_client.db.litellm_tagtable.find_many = AsyncMock(return_value=[linked_tag]) + prisma_client.db.litellm_tagtable.update_many = AsyncMock(return_value={"count": 1}) + + job = ResetBudgetJob(proxy_logging_obj=MagicMock(), prisma_client=prisma_client) + asyncio.run(job.reset_budget_for_tags_linked_to_budgets([expired_budget])) + + counter_cache.user_api_key_cache.async_delete_cache.assert_any_await( + key="tag:tenant-42" + ) + + +def test_reset_budget_for_tags_linked_to_budgets_invalidates_each_tag_management_cache( + monkeypatch, +): + """When multiple tags share the expired budget tier, every one of them + has its ``user_api_key_cache`` entry dropped — not just the first.""" + counter_cache = _make_counter_invalidation_job(monkeypatch) + + expired_budget = type("B", (), {"budget_id": "budget-1"}) + linked_tags = [ + type("Tag", (), {"tag_name": "tenant-a"}), + type("Tag", (), {"tag_name": "tenant-b"}), + type("Tag", (), {"tag_name": "tenant-c"}), + ] + + prisma_client = MagicMock() + prisma_client.db.litellm_tagtable.find_many = AsyncMock(return_value=linked_tags) + prisma_client.db.litellm_tagtable.update_many = AsyncMock(return_value={"count": 3}) + + job = ResetBudgetJob(proxy_logging_obj=MagicMock(), prisma_client=prisma_client) + asyncio.run(job.reset_budget_for_tags_linked_to_budgets([expired_budget])) + + deleted_keys = { + call.kwargs.get("key") + for call in counter_cache.user_api_key_cache.async_delete_cache.await_args_list + } + assert deleted_keys == {"tag:tenant-a", "tag:tenant-b", "tag:tenant-c"} + + +def test_reset_budget_for_keys_linked_to_budgets_invalidates_management_cache( + monkeypatch, +): + """Budget-tier key resets must drop the cached key object (hashed token key). + + Historically this test used ``assert_not_awaited()`` on + ``user_api_key_cache.async_delete_cache``, reflecting the assumption that + ``SpendCounterReseed.from_db`` alone kept spend consistent for keys and + that invalidating the management cache was unnecessary. That was flipped to + ``assert_any_await(...)`` because the old invariant fails across pods: a + budget reset on one instance can leave another pod's cached key object + (including embedded ``.spend``) stale until TTL expiry. Eviction now matches + tags/orgs/teams. Do not treat the ``cache_key_fn`` / invalidation wiring as + redundant without revisiting that cross-pod consistency story. + """ + counter_cache = _make_counter_invalidation_job(monkeypatch) + + expired_budget = type("B", (), {"budget_id": "budget-1"}) + linked_key = type("Key", (), {"token": "sk-linked"}) + + prisma_client = MagicMock() + prisma_client.db.litellm_verificationtoken.find_many = AsyncMock( + return_value=[linked_key] + ) + prisma_client.db.litellm_verificationtoken.update_many = AsyncMock( + return_value={"count": 1} + ) + + job = ResetBudgetJob(proxy_logging_obj=MagicMock(), prisma_client=prisma_client) + asyncio.run(job.reset_budget_for_keys_linked_to_budgets([expired_budget])) + + counter_cache.user_api_key_cache.async_delete_cache.assert_any_await( + key="sk-linked" + ) + + +def test_reset_budget_for_orgs_linked_to_budgets_invalidates_management_cache( + monkeypatch, +): + """Org rows use both base and budget-table cache keys — evict both on reset.""" + counter_cache = _make_counter_invalidation_job(monkeypatch) + + expired_budget = type("B", (), {"budget_id": "budget-1"}) + linked_org = type("Org", (), {"organization_id": "org-acme"}) + + prisma_client = MagicMock() + prisma_client.db.litellm_organizationtable.find_many = AsyncMock( + return_value=[linked_org] + ) + prisma_client.db.litellm_organizationtable.update_many = AsyncMock( + return_value={"count": 1} + ) + + job = ResetBudgetJob(proxy_logging_obj=MagicMock(), prisma_client=prisma_client) + asyncio.run(job.reset_budget_for_orgs_linked_to_budgets([expired_budget])) + + deleted_keys = { + call.kwargs.get("key") + for call in counter_cache.user_api_key_cache.async_delete_cache.await_args_list + } + assert deleted_keys == { + "org_id:org-acme", + "org_id:org-acme:with_budget", + } + + +def test_reset_budget_for_team_members_invalidates_management_cache(monkeypatch): + """Team membership cache key matches auth: ``{team_id}_{user_id}``.""" + counter_cache = _make_counter_invalidation_job(monkeypatch) + + expired_budget = type("B", (), {"budget_id": "budget-1"}) + membership = type( + "Membership", + (), + {"user_id": "alice", "team_id": "team-x", "budget_id": "budget-1"}, + ) + + prisma_client = MagicMock() + prisma_client.db.litellm_teammembership.find_many = AsyncMock( + return_value=[membership] + ) + prisma_client.db.litellm_teammembership.update_many = AsyncMock( + return_value={"count": 1} + ) + + job = ResetBudgetJob(proxy_logging_obj=MagicMock(), prisma_client=prisma_client) + asyncio.run(job.reset_budget_for_litellm_team_members([expired_budget])) + + counter_cache.user_api_key_cache.async_delete_cache.assert_any_await( + key="team-x_alice" + ) + + +def test_reset_budget_for_tags_linked_to_budgets_management_cache_delete_failure_still_resets( + monkeypatch, +): + """If ``async_delete_cache`` raises, the DB cascade must still complete.""" + counter_cache = _make_counter_invalidation_job(monkeypatch) + counter_cache.user_api_key_cache.async_delete_cache = AsyncMock( + side_effect=RuntimeError("cache unavailable") + ) + + expired_budget = type("B", (), {"budget_id": "budget-1"}) + linked_tag = type("Tag", (), {"tag_name": "tenant-42"}) + + prisma_client = MagicMock() + prisma_client.db.litellm_tagtable.find_many = AsyncMock(return_value=[linked_tag]) + prisma_client.db.litellm_tagtable.update_many = AsyncMock(return_value={"count": 1}) + + job = ResetBudgetJob(proxy_logging_obj=MagicMock(), prisma_client=prisma_client) + asyncio.run(job.reset_budget_for_tags_linked_to_budgets([expired_budget])) + + prisma_client.db.litellm_tagtable.update_many.assert_awaited_once() 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 c6017752814..79e6494eab0 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 @@ -1513,3 +1513,146 @@ async def test_commit_spend_updates_uses_pipeline(): mock_redis_update_buffer.get_all_daily_end_user_spend_update_transactions_from_redis_buffer.assert_not_called() mock_redis_update_buffer.get_all_daily_agent_spend_update_transactions_from_redis_buffer.assert_not_called() mock_redis_update_buffer.get_all_daily_tag_spend_update_transactions_from_redis_buffer.assert_not_called() + + +@pytest.mark.parametrize( + "bucket_name,input_dict,table_attr,method_name,where_key,expected_order", + [ + pytest.param( + "user_list_transactions", + {"user_c": 0.1, "user_a": 0.2, "user_b": 0.3}, + "litellm_usertable", + "update_many", + "user_id", + ["user_a", "user_b", "user_c"], + id="user", + ), + pytest.param( + "key_list_transactions", + {"tok_c": 0.1, "tok_a": 0.2, "tok_b": 0.3}, + "litellm_verificationtoken", + "update_many", + "token", + ["tok_a", "tok_b", "tok_c"], + id="key", + ), + pytest.param( + "team_list_transactions", + {"team_c": 0.1, "team_a": 0.2, "team_b": 0.3}, + "litellm_teamtable", + "update_many", + "team_id", + ["team_a", "team_b", "team_c"], + id="team", + ), + pytest.param( + "team_member_list_transactions", + { + "team_id::team_c::user_id::user_x": 0.1, + "team_id::team_a::user_id::user_x": 0.2, + "team_id::team_b::user_id::user_x": 0.3, + }, + "litellm_teammembership", + "update_many", + "team_id", + ["team_a", "team_b", "team_c"], + id="team_member", + ), + pytest.param( + "org_list_transactions", + {"org_c": 0.1, "org_a": 0.2, "org_b": 0.3}, + "litellm_organizationtable", + "update_many", + "organization_id", + ["org_a", "org_b", "org_c"], + id="org", + ), + pytest.param( + "end_user_list_transactions", + {"eu_c": 0.1, "eu_a": 0.2, "eu_b": 0.3}, + "litellm_endusertable", + "upsert", + "user_id", + ["eu_a", "eu_b", "eu_c"], + id="end_user", + ), + pytest.param( + "tag_list_transactions", + {"prod": 0.1, "customer-x": 0.2, "test": 0.3}, + "litellm_tagtable", + "update_many", + "tag_name", + ["customer-x", "prod", "test"], + id="tag", + ), + pytest.param( + "agent_list_transactions", + {"agent_c": 0.1, "agent_a": 0.2, "agent_b": 0.3}, + "litellm_agentstable", + "update_many", + "agent_id", + ["agent_a", "agent_b", "agent_c"], + id="agent", + ), + ], +) +@pytest.mark.asyncio +async def test_commit_spend_updates_iterates_in_sorted_order( + bucket_name, input_dict, table_attr, method_name, where_key, expected_order +): + """ + Every spend-bucket code path in _commit_spend_updates_to_db must iterate + in sorted order so concurrent pods acquire row locks in the same order + and avoid PostgreSQL deadlocks. Covers the 5 direct loops (user/key/team/ + team_member/org), the end_user path in ProxyUpdateSpend.update_end_user_spend, + and the shared _update_entity_spend_in_db helper (tag, agent). + """ + db_writer = DBSpendUpdateWriter() + + captured_where_values = [] + + def capture(*, where, data): + captured_where_values.append(where[where_key]) + + mock_batcher = MagicMock() + table_mock = MagicMock() + setattr(table_mock, method_name, MagicMock(side_effect=capture)) + setattr(mock_batcher, table_attr, table_mock) + + mock_transaction = AsyncMock() + mock_transaction.__aenter__ = AsyncMock(return_value=mock_transaction) + mock_transaction.__aexit__ = AsyncMock(return_value=False) + mock_transaction.batch_ = MagicMock( + return_value=AsyncMock( + __aenter__=AsyncMock(return_value=mock_batcher), + __aexit__=AsyncMock(return_value=False), + ) + ) + + mock_prisma_client = MagicMock() + mock_prisma_client.db = MagicMock() + mock_prisma_client.db.tx = MagicMock(return_value=mock_transaction) + + mock_proxy_logging = MagicMock() + mock_proxy_logging.call_details = {} + + buckets = { + "user_list_transactions": {}, + "end_user_list_transactions": {}, + "key_list_transactions": {}, + "team_list_transactions": {}, + "team_member_list_transactions": {}, + "org_list_transactions": {}, + "tag_list_transactions": {}, + "agent_list_transactions": {}, + } + buckets[bucket_name] = input_dict + + await db_writer._commit_spend_updates_to_db( + prisma_client=mock_prisma_client, + n_retry_times=3, + proxy_logging_obj=mock_proxy_logging, + db_spend_update_transactions=buckets, + ) + + assert captured_where_values == expected_order diff --git a/tests/test_litellm/proxy/guardrails/test_guardrail_coverage.py b/tests/test_litellm/proxy/guardrails/test_guardrail_coverage.py index 6def548b93f..4c19ee2906b 100644 --- a/tests/test_litellm/proxy/guardrails/test_guardrail_coverage.py +++ b/tests/test_litellm/proxy/guardrails/test_guardrail_coverage.py @@ -660,7 +660,7 @@ async def test_azure_content_safety_post_call_checks_all_choices(user_api_key): @pytest.mark.asyncio async def test_secret_detection_redacts_multimodal_text_parts(user_api_key): - from enterprise.litellm_enterprise.enterprise_callbacks.secret_detection import ( + from litellm_enterprise.enterprise_callbacks.secret_detection import ( _ENTERPRISE_SecretDetection, ) @@ -696,7 +696,7 @@ async def test_secret_detection_redacts_multimodal_text_parts(user_api_key): @pytest.mark.asyncio async def test_secret_detection_redacts_responses_api_input(user_api_key): - from enterprise.litellm_enterprise.enterprise_callbacks.secret_detection import ( + from litellm_enterprise.enterprise_callbacks.secret_detection import ( _ENTERPRISE_SecretDetection, ) diff --git a/tests/test_litellm/proxy/guardrails/test_guardrail_endpoints.py b/tests/test_litellm/proxy/guardrails/test_guardrail_endpoints.py index 033deb3ff42..0d7becd3e2e 100644 --- a/tests/test_litellm/proxy/guardrails/test_guardrail_endpoints.py +++ b/tests/test_litellm/proxy/guardrails/test_guardrail_endpoints.py @@ -106,9 +106,11 @@ def mock_in_memory_handler(mocker): mock_handler = mocker.Mock(spec=InMemoryGuardrailHandler) mock_handler.list_in_memory_guardrails.return_value = [MOCK_CONFIG_GUARDRAIL] mock_handler.get_guardrail_by_id.return_value = MOCK_CONFIG_GUARDRAIL + mock_handler.get_source.return_value = "config" mock_handler.initialize_guardrail = mocker.Mock() mock_handler.update_in_memory_guardrail = mocker.Mock() mock_handler.delete_in_memory_guardrail = mocker.Mock() + mock_handler.reconcile_db_guardrails = mocker.Mock(return_value=[]) return mock_handler @@ -162,6 +164,67 @@ async def test_list_guardrails_v2_with_db_and_config( assert isinstance(config_guardrail.litellm_params, BaseLitellmParams) +@pytest.mark.asyncio +async def test_list_guardrails_v2_skips_stale_db_backed_in_memory_entries(mocker): + """ + A guardrail that's still in this pod's memory tagged source='db' but is no + longer in the DB result (deleted on another pod, awaiting reconcile) must + NOT surface in the list response — pre-fix it leaked as 'config'. + """ + stale_guardrail = { + "guardrail_id": "stale-db-id", + "guardrail_name": "Stale DB Guardrail", + "litellm_params": {"guardrail": "bedrock", "mode": "pre_call"}, + "guardrail_info": {}, + } + mock_prisma_client = mocker.Mock() + mock_prisma_client.db = mocker.Mock() + mock_prisma_client.db.litellm_guardrailstable = mocker.Mock() + mock_prisma_client.db.litellm_guardrailstable.find_many = AsyncMock(return_value=[]) + + mock_in_memory_handler = mocker.Mock() + mock_in_memory_handler.list_in_memory_guardrails.return_value = [stale_guardrail] + mock_in_memory_handler.get_source.return_value = "db" + + mocker.patch("litellm.proxy.proxy_server.prisma_client", mock_prisma_client) + mocker.patch( + "litellm.proxy.guardrails.guardrail_registry.IN_MEMORY_GUARDRAIL_HANDLER", + mock_in_memory_handler, + ) + + admin_auth = UserAPIKeyAuth(user_role=LitellmUserRoles.PROXY_ADMIN) + response = await list_guardrails_v2(user_api_key_dict=admin_auth) + + assert response.guardrails == [] + mock_in_memory_handler.get_source.assert_called_with("stale-db-id") + + +@pytest.mark.asyncio +async def test_get_guardrail_info_404s_stale_db_backed_entry( + mocker, mock_prisma_client, mock_in_memory_handler +): + """ + Stale DB-backed entry (in-memory but not in DB) must 404 instead of being + returned as if it were a config-loaded guardrail. + """ + mocker.patch("litellm.proxy.proxy_server.prisma_client", mock_prisma_client) + mocker.patch( + "litellm.proxy.guardrails.guardrail_registry.IN_MEMORY_GUARDRAIL_HANDLER", + mock_in_memory_handler, + ) + mock_prisma_client.db.litellm_guardrailstable.find_unique = AsyncMock( + return_value=None + ) + # In-memory still has it, but it's tagged as 'db' (stale, awaiting reconcile) + mock_in_memory_handler.get_source.return_value = "db" + + with pytest.raises(HTTPException) as exc_info: + await get_guardrail_info("stale-db-id") + + assert exc_info.value.status_code == 404 + assert "not found" in str(exc_info.value.detail) + + @pytest.mark.asyncio async def test_list_guardrails_v2_masks_sensitive_data_in_db_guardrails(mocker): """Test that sensitive litellm_params are masked for DB guardrails in list response""" @@ -1160,6 +1223,7 @@ async def test_get_guardrail_info_endpoint_config_guardrail(mocker): # Mock IN_MEMORY_GUARDRAIL_HANDLER at its source to return config guardrail mock_in_memory_handler = mocker.Mock() mock_in_memory_handler.get_guardrail_by_id.return_value = MOCK_CONFIG_GUARDRAIL + mock_in_memory_handler.get_source.return_value = "config" mocker.patch( "litellm.proxy.guardrails.guardrail_registry.IN_MEMORY_GUARDRAIL_HANDLER", mock_in_memory_handler, diff --git a/tests/test_litellm/proxy/guardrails/test_guardrail_registry.py b/tests/test_litellm/proxy/guardrails/test_guardrail_registry.py index 1d70126681d..9f7173383b0 100644 --- a/tests/test_litellm/proxy/guardrails/test_guardrail_registry.py +++ b/tests/test_litellm/proxy/guardrails/test_guardrail_registry.py @@ -60,3 +60,123 @@ def test_update_in_memory_guardrail(): handler.guardrail_id_to_custom_guardrail["123"].event_hook is GuardrailEventHooks.pre_call ) + + +def _make_guardrail(guardrail_id: str, name: str = "g") -> Guardrail: + return Guardrail( + guardrail_id=guardrail_id, + guardrail_name=name, + litellm_params=LitellmParams(guardrail=name, mode="pre_call", default_on=False), + ) + + +def test_reconcile_db_guardrails_drops_stale_db_entries_only(): + """ + The reconcile pass must drop in-memory entries marked source='db' that are + missing from the DB result, and never touch source='config' entries. + Models the multi-pod case where another pod deleted a DB-backed guardrail. + """ + handler = InMemoryGuardrailHandler() + + # Two DB-backed entries on this pod (synced from earlier polling cycles) + handler.IN_MEMORY_GUARDRAILS["db-keep"] = _make_guardrail("db-keep") + handler.IN_MEMORY_GUARDRAILS["db-stale"] = _make_guardrail("db-stale") + handler._sources["db-keep"] = "db" + handler._sources["db-stale"] = "db" + + # One config-loaded entry that must survive reconciliation + handler.IN_MEMORY_GUARDRAILS["cfg"] = _make_guardrail("cfg") + handler._sources["cfg"] = "config" + + # The DB now only contains db-keep — db-stale was deleted on another pod. + removed = handler.reconcile_db_guardrails(db_guardrail_ids={"db-keep"}) + + assert removed == ["db-stale"] + assert "db-stale" not in handler.IN_MEMORY_GUARDRAILS + assert "db-stale" not in handler._sources + assert "db-keep" in handler.IN_MEMORY_GUARDRAILS + assert "cfg" in handler.IN_MEMORY_GUARDRAILS + assert handler._sources["cfg"] == "config" + + +def test_reconcile_does_not_drop_config_entries_missing_from_db(): + """A config-only guardrail (no DB row) must never be reconciled away.""" + handler = InMemoryGuardrailHandler() + handler.IN_MEMORY_GUARDRAILS["cfg-only"] = _make_guardrail("cfg-only") + handler._sources["cfg-only"] = "config" + + removed = handler.reconcile_db_guardrails(db_guardrail_ids=set()) + + assert removed == [] + assert "cfg-only" in handler.IN_MEMORY_GUARDRAILS + + +def test_get_source_returns_marker_set_at_insert(): + handler = InMemoryGuardrailHandler() + handler.IN_MEMORY_GUARDRAILS["a"] = _make_guardrail("a") + handler._sources["a"] = "db" + handler.IN_MEMORY_GUARDRAILS["b"] = _make_guardrail("b") + handler._sources["b"] = "config" + + assert handler.get_source("a") == "db" + assert handler.get_source("b") == "config" + assert handler.get_source("missing") is None + + +def test_delete_in_memory_guardrail_clears_source_marker(): + handler = InMemoryGuardrailHandler() + handler.IN_MEMORY_GUARDRAILS["a"] = _make_guardrail("a") + handler._sources["a"] = "db" + + handler.delete_in_memory_guardrail("a") + + assert "a" not in handler.IN_MEMORY_GUARDRAILS + assert "a" not in handler._sources + assert handler.get_source("a") is None + + +def test_initialize_guardrail_early_return_updates_source_marker(): + """ + When initialize_guardrail is called for a guardrail that already exists + in memory, the early-return path must still honor the caller's source. + Otherwise a racing polling tick that placed a DB entry in memory first + would leave a later config-init call wrongly marked as 'db' (or vice + versa), and the entry would be reconciled with the wrong classification. + """ + handler = InMemoryGuardrailHandler() + # Simulate a polling tick already placing the entry as DB-backed. + handler.IN_MEMORY_GUARDRAILS["collide"] = _make_guardrail("collide", name="bedrock") + handler._sources["collide"] = "db" + + # Config init re-visits the same id (e.g., hot-reload, or UUID collision). + g = Guardrail( + guardrail_id="collide", + guardrail_name="bedrock", + litellm_params=LitellmParams( + guardrail="bedrock", mode="pre_call", default_on=False + ), + ) + handler.initialize_guardrail(guardrail=g, source="config") + + assert handler.get_source("collide") == "config" + + # And the symmetric direction: db sync should override an entry left + # marked as 'config' from a stale init path. + handler.initialize_guardrail(guardrail=g, source="db") + assert handler.get_source("collide") == "db" + + +def test_sync_guardrail_from_db_marks_source_db_when_unchanged(): + """ + sync_guardrail_from_db must enforce source='db' even when params are + unchanged, so a config entry whose UUID happens to collide with a later + DB row gets re-tagged correctly. + """ + handler = InMemoryGuardrailHandler() + g = _make_guardrail("collide") + handler.IN_MEMORY_GUARDRAILS["collide"] = g + handler._sources["collide"] = "config" + + handler.sync_guardrail_from_db(g) + + assert handler.get_source("collide") == "db" diff --git a/tests/test_litellm/proxy/health_endpoints/test_health_endpoints.py b/tests/test_litellm/proxy/health_endpoints/test_health_endpoints.py index 2edcb00c967..bcd7fcb37b3 100644 --- a/tests/test_litellm/proxy/health_endpoints/test_health_endpoints.py +++ b/tests/test_litellm/proxy/health_endpoints/test_health_endpoints.py @@ -466,6 +466,236 @@ async def test_test_model_connection_loads_config_from_router(): assert "result" in result +@pytest.mark.asyncio +async def test_test_model_connection_uses_model_info_id_to_disambiguate_duplicate_model_names(): + """ + When two deployments share the same `model_name` (e.g. wildcard + `openai/*`) but have different `api_base` values, clicking "Test + Connection" on a specific row in the UI must probe THAT row's + `api_base` — not whichever happens to be `deployments[0]`. + + The UI passes `model_info.id` to identify the deployment the user + actually clicked on. The backend must use that id to look up the + specific deployment rather than always grabbing the first match. + + Regression test for: silent fallback to deployments[0] when + multiple deployments share a wildcard model_name. + """ + from litellm.types.router import Deployment, LiteLLM_Params + + mock_request = MagicMock() + mock_user_api_key_dict = MagicMock() + mock_user_api_key_dict.user_id = "test-user" + mock_user_api_key_dict.token = "test-token" + + mock_prisma_client = MagicMock() + + deployment_a = { + "model_name": "openai/*", + "litellm_params": { + "model": "openai/*", + "api_base": "https://deployment-A-base.invalid/v1", + "api_key": "fake-key-A", + }, + "model_info": {"id": "deployment-A-id"}, + } + deployment_b = { + "model_name": "openai/*", + "litellm_params": { + "model": "openai/*", + "api_base": "https://deployment-B-base.invalid/v1", + "api_key": "fake-key-B", + }, + "model_info": {"id": "deployment-B-id"}, + } + + mock_router = MagicMock() + mock_router.get_model_list.return_value = [deployment_a, deployment_b] + + # Backend uses get_deployment(model_id=...) for O(1) lookup by id. + def _get_deployment_by_id(model_id): + if model_id == "deployment-A-id": + return Deployment( + model_name="openai/*", + litellm_params=LiteLLM_Params(**deployment_a["litellm_params"]), + model_info=deployment_a["model_info"], + ) + if model_id == "deployment-B-id": + return Deployment( + model_name="openai/*", + litellm_params=LiteLLM_Params(**deployment_b["litellm_params"]), + model_info=deployment_b["model_info"], + ) + return None + + mock_router.get_deployment.side_effect = _get_deployment_by_id + + mock_can_user_make_model_call = AsyncMock() + + mock_health_check_result = {"status": "healthy", "response_time_ms": 50} + mock_ahealth_check = AsyncMock(return_value=mock_health_check_result) + mock_run_with_timeout = AsyncMock(return_value=mock_health_check_result) + + def mock_update_params(model_info, litellm_params): + params = litellm_params.copy() + params["messages"] = [{"role": "user", "content": "test"}] + return params + + def mock_reject_os_environ(params): + return None + + with ( + patch( + "litellm.proxy.proxy_server.prisma_client", + mock_prisma_client, + ), + patch( + "litellm.proxy.proxy_server.llm_router", + mock_router, + ), + patch( + "litellm.proxy.proxy_server.premium_user", + False, + ), + patch( + "litellm.proxy.management_endpoints.model_management_endpoints.ModelManagementAuthChecks.can_user_make_model_call", + mock_can_user_make_model_call, + ), + patch( + "litellm.proxy.health_endpoints._health_endpoints.litellm.ahealth_check", + mock_ahealth_check, + ), + patch( + "litellm.proxy.health_endpoints._health_endpoints.run_with_timeout", + mock_run_with_timeout, + ), + patch( + "litellm.proxy.health_endpoints._health_endpoints._update_litellm_params_for_health_check", + mock_update_params, + ), + patch( + "litellm.proxy.health_endpoints._health_endpoints._reject_os_environ_references", + mock_reject_os_environ, + ), + ): + # Click "Test Connection" on deployment B (NOT the first one). + # The UI sends only `model` + `model_info.id` — it does NOT + # send `api_base`/`api_key`, so the backend must resolve them + # from the right deployment. + await health_test_model_connection( + request=mock_request, + mode="chat", + litellm_params={"model": "openai/*"}, + model_info={"id": "deployment-B-id"}, + user_api_key_dict=mock_user_api_key_dict, + ) + + # The outbound health check must hit deployment B's api_base. + ahealth_check_call_args = mock_ahealth_check.call_args + assert ahealth_check_call_args is not None + model_params = ahealth_check_call_args.kwargs.get("model_params", {}) + + assert model_params.get("api_base") == ( + "https://deployment-B-base.invalid/v1" + ), ( + "Expected /health/test_connection to probe deployment B's " + "api_base when model_info.id='deployment-B-id' was provided. " + f"Got: {model_params.get('api_base')!r}. This means the " + "backend silently fell back to deployments[0] (A) instead " + "of disambiguating by model_info.id." + ) + assert model_params.get("api_key") == "fake-key-B" + + +@pytest.mark.asyncio +async def test_test_model_connection_falls_back_to_deployments_zero_without_id(): + """ + Backwards-compat: when the request body does NOT include + `model_info.id`, the legacy behavior of using `deployments[0]` + is preserved (single-deployment case, or callers that haven't + been updated to pass an id). + """ + mock_request = MagicMock() + mock_user_api_key_dict = MagicMock() + mock_user_api_key_dict.user_id = "test-user" + mock_user_api_key_dict.token = "test-token" + + mock_prisma_client = MagicMock() + + deployment_a = { + "model_name": "openai/*", + "litellm_params": { + "model": "openai/*", + "api_base": "https://deployment-A-base.invalid/v1", + "api_key": "fake-key-A", + }, + "model_info": {"id": "deployment-A-id"}, + } + deployment_b = { + "model_name": "openai/*", + "litellm_params": { + "model": "openai/*", + "api_base": "https://deployment-B-base.invalid/v1", + "api_key": "fake-key-B", + }, + "model_info": {"id": "deployment-B-id"}, + } + + mock_router = MagicMock() + mock_router.get_model_list.return_value = [deployment_a, deployment_b] + + mock_can_user_make_model_call = AsyncMock() + mock_health_check_result = {"status": "healthy"} + mock_ahealth_check = AsyncMock(return_value=mock_health_check_result) + mock_run_with_timeout = AsyncMock(return_value=mock_health_check_result) + + def mock_update_params(model_info, litellm_params): + params = litellm_params.copy() + params["messages"] = [{"role": "user", "content": "test"}] + return params + + def mock_reject_os_environ(params): + return None + + with ( + patch("litellm.proxy.proxy_server.prisma_client", mock_prisma_client), + patch("litellm.proxy.proxy_server.llm_router", mock_router), + patch("litellm.proxy.proxy_server.premium_user", False), + patch( + "litellm.proxy.management_endpoints.model_management_endpoints.ModelManagementAuthChecks.can_user_make_model_call", + mock_can_user_make_model_call, + ), + patch( + "litellm.proxy.health_endpoints._health_endpoints.litellm.ahealth_check", + mock_ahealth_check, + ), + patch( + "litellm.proxy.health_endpoints._health_endpoints.run_with_timeout", + mock_run_with_timeout, + ), + patch( + "litellm.proxy.health_endpoints._health_endpoints._update_litellm_params_for_health_check", + mock_update_params, + ), + patch( + "litellm.proxy.health_endpoints._health_endpoints._reject_os_environ_references", + mock_reject_os_environ, + ), + ): + await health_test_model_connection( + request=mock_request, + mode="chat", + litellm_params={"model": "openai/*"}, + model_info={}, # no id provided + user_api_key_dict=mock_user_api_key_dict, + ) + + # Without id, deployments[0] (A) should be used (legacy behavior). + model_params = mock_ahealth_check.call_args.kwargs.get("model_params", {}) + assert model_params.get("api_base") == "https://deployment-A-base.invalid/v1" + assert model_params.get("api_key") == "fake-key-A" + + @pytest.mark.asyncio async def test_health_services_endpoint_datadog_llm_observability(): """ 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 b292e8d0cae..ae3741c5e2a 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 @@ -5689,7 +5689,7 @@ async def test_process_single_key_update(): "litellm.proxy.management_endpoints.key_management_endpoints.KeyManagementEventHooks.async_key_updated_hook" ): # Create update request - key_update_item = BulkUpdateKeyRequestItem( + update_key_request = UpdateKeyRequest( key="test-key-123", max_budget=100.0, tags=["production"], @@ -5703,7 +5703,7 @@ async def test_process_single_key_update(): # Call the function result = await _process_single_key_update( - key_update_item=key_update_item, + update_key_request=update_key_request, user_api_key_dict=user_api_key_dict, litellm_changed_by=None, prisma_client=mock_prisma_client, @@ -9855,9 +9855,6 @@ async def test_process_single_key_update_cache_invalidation_with_token_hash(): from litellm.proxy.management_endpoints.key_management_endpoints import ( _process_single_key_update, ) - from litellm.types.proxy.management_endpoints.key_management_endpoints import ( - BulkUpdateKeyRequestItem, - ) token_hash = "abc123def456" @@ -9900,7 +9897,7 @@ async def test_process_single_key_update_cache_invalidation_with_token_hash(): new_callable=AsyncMock, ), ): - key_update_item = BulkUpdateKeyRequestItem( + update_key_request = UpdateKeyRequest( key=token_hash, max_budget=100.0, ) @@ -9912,7 +9909,7 @@ async def test_process_single_key_update_cache_invalidation_with_token_hash(): ) await _process_single_key_update( - key_update_item=key_update_item, + update_key_request=update_key_request, user_api_key_dict=user_api_key_dict, litellm_changed_by=None, prisma_client=mock_prisma_client, @@ -10019,3 +10016,737 @@ async def test_execute_virtual_key_regeneration_cache_invalidation_with_token_ha call_kwargs = mock_delete_cache.call_args.kwargs # The token hash should be passed as-is, NOT double-hashed assert call_kwargs["hashed_token"] == token_hash + + +# --------------------------------------------------------------------------- +# /team/key/bulk_update tests +# --------------------------------------------------------------------------- + + +_BULK_PKG = "litellm.proxy.management_endpoints.key_management_endpoints" + + +def _make_team_key(token: str, team_id: str = "team-abc") -> LiteLLM_VerificationToken: + return LiteLLM_VerificationToken( + token=token, + user_id="user-123", + models=[], + team_id=team_id, + max_budget=None, + ) + + +def _admin() -> UserAPIKeyAuth: + return UserAPIKeyAuth( + user_role=LitellmUserRoles.PROXY_ADMIN, api_key="sk-admin", user_id="admin" + ) + + +def _internal_user() -> UserAPIKeyAuth: + return UserAPIKeyAuth( + user_role=LitellmUserRoles.INTERNAL_USER, api_key="sk-iu", user_id="iu" + ) + + +def _updated(payload): + m = MagicMock() + m.model_dump.return_value = payload + return m + + +def _setup_team_keys_mocks( + monkeypatch, + *, + find_many=None, + find_unique=None, + update_data=None, + hash_identity=True, +): + """Set up mocks for bulk_update_team_keys; returns mock_prisma.""" + mock_prisma = AsyncMock() + mock_prisma.db.litellm_verificationtoken.find_many = AsyncMock( + return_value=[] if find_many is None else find_many + ) + if find_unique is not None: + mock_prisma.db.litellm_verificationtoken.find_unique = find_unique + if update_data is not None: + mock_prisma.update_data = update_data + monkeypatch.setattr("litellm.proxy.proxy_server.prisma_client", mock_prisma) + monkeypatch.setattr("litellm.proxy.proxy_server.user_api_key_cache", MagicMock()) + monkeypatch.setattr("litellm.proxy.proxy_server.proxy_logging_obj", MagicMock()) + monkeypatch.setattr("litellm.proxy.proxy_server.llm_router", MagicMock()) + monkeypatch.setattr("litellm.proxy.proxy_server.user_custom_key_update", None) + monkeypatch.setattr( + f"{_BULK_PKG}.prepare_key_update_data", + AsyncMock(return_value={"max_budget": 50.0}), + ) + monkeypatch.setattr(f"{_BULK_PKG}._delete_cache_key_object", AsyncMock()) + monkeypatch.setattr( + f"{_BULK_PKG}.KeyManagementEventHooks.async_key_updated_hook", AsyncMock() + ) + monkeypatch.setattr(f"{_BULK_PKG}.get_team_object", AsyncMock(return_value=None)) + monkeypatch.setattr(f"{_BULK_PKG}._check_team_key_limits", AsyncMock()) + monkeypatch.setattr( + f"{_BULK_PKG}.TeamMemberPermissionChecks.can_team_member_execute_key_management_endpoint", + AsyncMock(), + ) + if hash_identity: + # Tests use already-hashed tokens; the raw-sk regression opts out. + monkeypatch.setattr(f"{_BULK_PKG}._hash_token_if_needed", lambda token: token) + return mock_prisma + + +async def _call_as_admin(data): + from litellm.proxy.management_endpoints.key_management_endpoints import ( + bulk_update_team_keys, + ) + + return await bulk_update_team_keys( + data=data, user_api_key_dict=_admin(), litellm_changed_by=None + ) + + +# ---- happy paths ---------------------------------------------------------- + + +@pytest.mark.asyncio +async def test_bulk_update_team_keys_success_with_key_ids(monkeypatch): + from litellm.types.proxy.management_endpoints.key_management_endpoints import ( + BulkUpdateTeamKeysRequest, + KeyUpdateFields, + ) + + keys = [_make_team_key("tok-a"), _make_team_key("tok-b")] + find_unique = AsyncMock(side_effect=keys) + mock = _setup_team_keys_mocks( + monkeypatch, + find_many=keys, + find_unique=find_unique, + update_data=AsyncMock( + side_effect=[{"data": _updated({"max_budget": 50.0})}] * 2 + ), + ) + + response = await _call_as_admin( + BulkUpdateTeamKeysRequest( + team_id="team-abc", + key_ids=["tok-a", "tok-b"], + update_fields=KeyUpdateFields(max_budget=50.0), + ) + ) + + assert len(response.successful_updates) == 2 + assert len(response.failed_updates) == 0 + where = mock.db.litellm_verificationtoken.find_many.await_args.kwargs["where"] + assert where["team_id"] == "team-abc" + assert where["token"] == {"in": ["tok-a", "tok-b"]} + find_unique.assert_not_called() + + +@pytest.mark.asyncio +async def test_bulk_update_team_keys_success_all_keys_in_team(monkeypatch): + from litellm.types.proxy.management_endpoints.key_management_endpoints import ( + BulkUpdateTeamKeysRequest, + KeyUpdateFields, + ) + + keys = [_make_team_key(f"tok-{i}") for i in range(3)] + find_unique = AsyncMock(side_effect=keys) + mock = _setup_team_keys_mocks( + monkeypatch, + find_many=keys, + find_unique=find_unique, + update_data=AsyncMock( + side_effect=[{"data": _updated({"max_budget": 50.0})}] * 3 + ), + ) + + response = await _call_as_admin( + BulkUpdateTeamKeysRequest( + team_id="team-abc", + all_keys_in_team=True, + update_fields=KeyUpdateFields(max_budget=50.0), + ) + ) + + assert len(response.successful_updates) == 3 + where = mock.db.litellm_verificationtoken.find_many.await_args.kwargs["where"] + # `blocked` is Boolean? with no default → /key/generate writes NULL. Prisma's + # NOT excludes NULLs, so the filter has to OR `false` with `null` explicitly. + blocked_or, expires_or = where["AND"][0]["OR"], where["AND"][1]["OR"] + assert {"blocked": False} in blocked_or and {"blocked": None} in blocked_or + assert {"expires": None} in expires_or + assert any( + "gt" in c.get("expires", {}) + for c in expires_or + if isinstance(c.get("expires"), dict) + ) + find_unique.assert_not_called() + + +@pytest.mark.asyncio +async def test_bulk_update_team_keys_key_not_in_team(monkeypatch): + from litellm.types.proxy.management_endpoints.key_management_endpoints import ( + BulkUpdateTeamKeysRequest, + KeyUpdateFields, + ) + + in_team = _make_team_key("tok-a") + _setup_team_keys_mocks( + monkeypatch, + find_many=[in_team], + find_unique=AsyncMock(return_value=in_team), + update_data=AsyncMock(return_value={"data": _updated({"max_budget": 50.0})}), + ) + + response = await _call_as_admin( + BulkUpdateTeamKeysRequest( + team_id="team-abc", + key_ids=["tok-a", "tok-foreign"], + update_fields=KeyUpdateFields(max_budget=50.0), + ) + ) + assert [u.key for u in response.successful_updates] == ["tok-a"] + assert [u.key for u in response.failed_updates] == ["tok-foreign"] + assert "not found in team" in response.failed_updates[0].failed_reason + + +# ---- error paths ---------------------------------------------------------- + + +@pytest.mark.asyncio +async def test_bulk_update_team_keys_batch_size_cap(monkeypatch): + from litellm.types.proxy.management_endpoints.key_management_endpoints import ( + BulkUpdateTeamKeysRequest, + KeyUpdateFields, + ) + + _setup_team_keys_mocks( + monkeypatch, + find_many=[_make_team_key(f"tok-{i}") for i in range(501)], + ) + + with pytest.raises(HTTPException) as exc: + await _call_as_admin( + BulkUpdateTeamKeysRequest( + team_id="team-abc", + all_keys_in_team=True, + update_fields=KeyUpdateFields(max_budget=50.0), + ) + ) + assert exc.value.status_code == 400 + assert "more than 500" in exc.value.detail["error"] + + +@pytest.mark.asyncio +async def test_bulk_update_team_keys_empty_team_returns_404(monkeypatch): + from litellm.types.proxy.management_endpoints.key_management_endpoints import ( + BulkUpdateTeamKeysRequest, + KeyUpdateFields, + ) + + _setup_team_keys_mocks(monkeypatch, find_many=[]) + with pytest.raises(HTTPException) as exc: + await _call_as_admin( + BulkUpdateTeamKeysRequest( + team_id="team-empty", + all_keys_in_team=True, + update_fields=KeyUpdateFields(max_budget=50.0), + ) + ) + assert exc.value.status_code == 404 + + +# ---- auth ----------------------------------------------------------------- + + +@pytest.mark.asyncio +async def test_bulk_update_team_keys_team_member_with_permission(monkeypatch): + from litellm.proxy.management_endpoints.key_management_endpoints import ( + bulk_update_team_keys, + ) + from litellm.types.proxy.management_endpoints.key_management_endpoints import ( + BulkUpdateTeamKeysRequest, + KeyUpdateFields, + ) + + key_a = _make_team_key("tok-a") + _setup_team_keys_mocks( + monkeypatch, + find_many=[key_a], + find_unique=AsyncMock(return_value=key_a), + update_data=AsyncMock(return_value={"data": _updated({"max_budget": 50.0})}), + ) + auth_check = AsyncMock() + monkeypatch.setattr( + f"{_BULK_PKG}.TeamMemberPermissionChecks.can_team_member_execute_key_management_endpoint", + auth_check, + ) + + response = await bulk_update_team_keys( + data=BulkUpdateTeamKeysRequest( + team_id="team-abc", + all_keys_in_team=True, + update_fields=KeyUpdateFields(max_budget=50.0), + ), + user_api_key_dict=_internal_user(), + litellm_changed_by=None, + ) + assert len(response.successful_updates) == 1 + # Upfront check + per-key check inside _process_single_key_update + assert auth_check.await_count == 2 + + +@pytest.mark.asyncio +async def test_bulk_update_team_keys_team_member_no_permission(monkeypatch): + from litellm.proxy.management_endpoints.key_management_endpoints import ( + bulk_update_team_keys, + ) + from litellm.types.proxy.management_endpoints.key_management_endpoints import ( + BulkUpdateTeamKeysRequest, + KeyUpdateFields, + ) + + mock = _setup_team_keys_mocks(monkeypatch, find_many=[_make_team_key("tok-a")]) + monkeypatch.setattr( + f"{_BULK_PKG}.TeamMemberPermissionChecks.can_team_member_execute_key_management_endpoint", + AsyncMock( + side_effect=ProxyException( + message="not in team", + type="team_member_permission_error", + param="/key/update", + code=401, + ) + ), + ) + + with pytest.raises(ProxyException): + await bulk_update_team_keys( + data=BulkUpdateTeamKeysRequest( + team_id="team-abc", + all_keys_in_team=True, + update_fields=KeyUpdateFields(max_budget=1.0), + ), + user_api_key_dict=_internal_user(), + litellm_changed_by=None, + ) + mock.update_data.assert_not_called() + + +# ---- pydantic-layer validation ------------------------------------------- + + +def test_bulk_update_team_keys_request_validation(): + """Allowlist (extra='forbid'), empty-payload rejection, and selection XOR.""" + from pydantic import ValidationError + + from litellm.types.proxy.management_endpoints.key_management_endpoints import ( + BulkUpdateTeamKeysRequest, + KeyUpdateFields, + ) + + forbidden = [ + "key", + "key_alias", + "team_id", + "allowed_routes", + "allowed_passthrough_routes", + "permissions", + "object_permission", + "access_group_ids", + "user_id", + "organization_id", + "blocked", + "key_type", + "models", + "config", + "router_settings", + "spend", + ] + for f in forbidden: + with pytest.raises(ValidationError, match=f): + KeyUpdateFields(**{f: True}) + + with pytest.raises(ValidationError, match="at least one"): + KeyUpdateFields() + + assert KeyUpdateFields(max_budget=50.0, tags=["x"]).max_budget == 50.0 + + valid = KeyUpdateFields(max_budget=10) + with pytest.raises(ValidationError): + BulkUpdateTeamKeysRequest( + team_id="t", key_ids=["k"], all_keys_in_team=True, update_fields=valid + ) + with pytest.raises(ValidationError): + BulkUpdateTeamKeysRequest(team_id="t", update_fields=valid) + + +# ---- security regressions ------------------------------------------------ + + +@pytest.mark.asyncio +async def test_bulk_update_team_keys_hashes_raw_sk_key_ids(monkeypatch): + """Regression: raw sk-... key_ids must be hashed before the find_many lookup.""" + from litellm.proxy._types import hash_token + from litellm.types.proxy.management_endpoints.key_management_endpoints import ( + BulkUpdateTeamKeysRequest, + KeyUpdateFields, + ) + + raw_sk = "sk-rawkey1234567890" + hashed = hash_token(raw_sk) + row = LiteLLM_VerificationToken( + token=hashed, user_id="u", models=[], team_id="team-abc", max_budget=None + ) + mock = _setup_team_keys_mocks( + monkeypatch, + find_many=[row], + find_unique=AsyncMock(return_value=row), + update_data=AsyncMock(return_value={"data": _updated({"max_budget": 50.0})}), + hash_identity=False, + ) + + response = await _call_as_admin( + BulkUpdateTeamKeysRequest( + team_id="team-abc", + key_ids=[raw_sk], + update_fields=KeyUpdateFields(max_budget=50.0), + ) + ) + where = mock.db.litellm_verificationtoken.find_many.await_args.kwargs["where"] + assert where["token"] == {"in": [hashed]} + # Response reports the user-supplied form, not the hash. + assert response.successful_updates[0].key == raw_sk + + +@pytest.mark.asyncio +async def test_bulk_update_team_keys_auth_check_runs_when_no_keys_match(monkeypatch): + """Regression: non-admin with bogus key_ids must still hit the membership gate.""" + from litellm.proxy.management_endpoints.key_management_endpoints import ( + bulk_update_team_keys, + ) + from litellm.types.proxy.management_endpoints.key_management_endpoints import ( + BulkUpdateTeamKeysRequest, + KeyUpdateFields, + ) + + mock = _setup_team_keys_mocks(monkeypatch, find_many=[]) + auth_check = AsyncMock( + side_effect=ProxyException( + message="not in team", + type="team_member_permission_error", + param="/key/update", + code=401, + ) + ) + monkeypatch.setattr( + f"{_BULK_PKG}.TeamMemberPermissionChecks.can_team_member_execute_key_management_endpoint", + auth_check, + ) + + with pytest.raises(ProxyException): + await bulk_update_team_keys( + data=BulkUpdateTeamKeysRequest( + team_id="victim-team", + key_ids=["bogus-1", "bogus-2"], + update_fields=KeyUpdateFields(max_budget=1.0), + ), + user_api_key_dict=_internal_user(), + litellm_changed_by=None, + ) + # Anchored on data.team_id, not existing_keys[0]. + assert auth_check.await_args.kwargs["existing_key_row"].team_id == "victim-team" + mock.update_data.assert_not_called() + + +@pytest.mark.asyncio +async def test_bulk_update_team_keys_does_not_log_raw_sk_token_on_failure( + monkeypatch, caplog +): + """Regression: per-key failure must not log the raw sk-... (ERROR-level logs persist).""" + import logging + + from litellm.proxy._types import hash_token + from litellm.types.proxy.management_endpoints.key_management_endpoints import ( + BulkUpdateTeamKeysRequest, + KeyUpdateFields, + ) + + raw_sk = "sk-supersecret1234567890" + row = LiteLLM_VerificationToken( + token=hash_token(raw_sk), + user_id="u", + models=[], + team_id="team-abc", + max_budget=None, + ) + _setup_team_keys_mocks( + monkeypatch, + find_many=[row], + update_data=AsyncMock(side_effect=RuntimeError("boom")), + hash_identity=False, + ) + + with caplog.at_level(logging.ERROR, logger="LiteLLM Proxy"): + response = await _call_as_admin( + BulkUpdateTeamKeysRequest( + team_id="team-abc", + key_ids=[raw_sk], + update_fields=KeyUpdateFields(max_budget=50.0), + ) + ) + assert len(response.failed_updates) == 1 + log_text = "\n".join(r.getMessage() for r in caplog.records) + assert raw_sk not in log_text + + +@pytest.mark.asyncio +async def test_bulk_update_team_keys_propagates_team_id_to_per_key_request(monkeypatch): + """Regression: per-key UpdateKeyRequest carries data.team_id (gates _check_team_key_limits).""" + from litellm.types.proxy.management_endpoints.key_management_endpoints import ( + BulkUpdateTeamKeysRequest, + KeyUpdateFields, + ) + + _setup_team_keys_mocks(monkeypatch, find_many=[_make_team_key("tok-a")]) + captured = [] + + async def fake_process(*, update_key_request, **kw): + captured.append(update_key_request) + return {"max_budget": update_key_request.max_budget} + + monkeypatch.setattr(f"{_BULK_PKG}._process_single_key_update", fake_process) + + await _call_as_admin( + BulkUpdateTeamKeysRequest( + team_id="team-abc", + key_ids=["tok-a"], + update_fields=KeyUpdateFields( + tpm_limit=10_000, tpm_limit_type="guaranteed_throughput" + ), + ) + ) + assert captured[0].team_id == "team-abc" + assert captured[0].tpm_limit_type == "guaranteed_throughput" + + +@pytest.mark.asyncio +async def test_bulk_update_team_keys_dedupes_key_ids(monkeypatch): + """Duplicate key_ids collapse to a single update (no redundant DB writes, no inflated counts).""" + from litellm.types.proxy.management_endpoints.key_management_endpoints import ( + BulkUpdateTeamKeysRequest, + KeyUpdateFields, + ) + + key_a = _make_team_key("tok-a") + update_data = AsyncMock(return_value={"data": _updated({"max_budget": 50.0})}) + _setup_team_keys_mocks( + monkeypatch, + find_many=[key_a], + find_unique=AsyncMock(return_value=key_a), + update_data=update_data, + ) + + response = await _call_as_admin( + BulkUpdateTeamKeysRequest( + team_id="team-abc", + key_ids=["tok-a", "tok-a", "tok-a"], + update_fields=KeyUpdateFields(max_budget=50.0), + ) + ) + + assert response.total_requested == 1 + assert len(response.successful_updates) == 1 + assert len(response.failed_updates) == 0 + update_data.assert_awaited_once() + + +@pytest.mark.asyncio +async def test_bulk_update_team_keys_blocks_metadata_allowed_passthrough_routes( + monkeypatch, +): + """Non-admin can't grant passthrough access by smuggling allowed_passthrough_routes through metadata.""" + from fastapi import HTTPException + + from litellm.proxy.management_endpoints.key_management_endpoints import ( + bulk_update_team_keys, + ) + from litellm.types.proxy.management_endpoints.key_management_endpoints import ( + BulkUpdateTeamKeysRequest, + KeyUpdateFields, + ) + + mock = _setup_team_keys_mocks(monkeypatch, find_many=[_make_team_key("tok-a")]) + + request = BulkUpdateTeamKeysRequest( + team_id="team-abc", + all_keys_in_team=True, + update_fields=KeyUpdateFields( + metadata={"allowed_passthrough_routes": ["/admin/*"]} + ), + ) + + with pytest.raises(HTTPException) as exc: + await bulk_update_team_keys( + data=request, + user_api_key_dict=_internal_user(), + litellm_changed_by=None, + ) + + assert exc.value.status_code == 403 + assert "allowed_passthrough_routes" in str(exc.value.detail) + mock.update_data.assert_not_called() + + +# --------------------------------------------------------------------------- +# /key/regenerate ownership-rebind guard + premium-gate identity check +# --------------------------------------------------------------------------- + +import contextlib # noqa: E402 + + +def _non_admin_user_api_key_dict(): + return UserAPIKeyAuth( + user_role=LitellmUserRoles.INTERNAL_USER, + api_key="sk-internal", + user_id="user-1", + ) + + +@contextlib.contextmanager +def _patch_regenerate_side_effects(): + """Mock out token creation + DB write + cache + rotation hook so + ``_execute_virtual_key_regeneration`` runs to completion under test.""" + with ( + patch( + "litellm.proxy.management_endpoints.key_management_endpoints.get_new_token", + new_callable=AsyncMock, + return_value="sk-newtoken1234ab12", + ), + patch( + "litellm.proxy.management_endpoints.key_management_endpoints._insert_deprecated_key", + new_callable=AsyncMock, + ), + patch( + "litellm.proxy.management_endpoints.key_management_endpoints._delete_cache_key_object", + new_callable=AsyncMock, + ), + patch( + "litellm.proxy.management_endpoints.key_management_endpoints.KeyManagementEventHooks.async_key_rotated_hook", + new_callable=AsyncMock, + ), + ): + yield + + +@pytest.mark.asyncio +@pytest.mark.parametrize( + "incoming_user_id,expected_status,expected_substring", + [ + # Cross-user rebind: the privesc primitive. + ("default_user_id", 403, "not allowed to rebind the key"), + # Empty-string removal: companion guard. + ("", 403, "remove the user_id"), + # Explicit null: same effect as empty-string removal — survives + # model_dump(exclude_unset=True) and writes NULL to the token row. + (None, 403, "remove the user_id"), + # No-op rebind (caller sends their own user_id): must succeed. + ("user-1", None, None), + ], + ids=[ + "rebind_blocked", + "empty_blocked", + "explicit_null_blocked", + "same_user_id_allowed", + ], +) +async def test_regenerate_user_id_rebind_guard( + incoming_user_id, expected_status, expected_substring +): + from litellm.proxy._types import RegenerateKeyRequest + from litellm.proxy.management_endpoints.key_management_endpoints import ( + _execute_virtual_key_regeneration, + ) + + existing_key = _make_regenerate_existing_key() + data = RegenerateKeyRequest(user_id=incoming_user_id) + + async def _run(): + await _execute_virtual_key_regeneration( + prisma_client=_make_regenerate_mock_prisma(), + key_in_db=existing_key, + hashed_api_key="abc123", + key="abc123", + data=data, + user_api_key_dict=_non_admin_user_api_key_dict(), + litellm_changed_by=None, + user_api_key_cache=MagicMock(), + proxy_logging_obj=MagicMock(), + ) + + if expected_status is None: + with _patch_regenerate_side_effects(): + await _run() + return + + with pytest.raises(HTTPException) as exc: + await _run() + assert exc.value.status_code == expected_status + assert expected_substring in str(exc.value.detail) + + +@pytest.mark.asyncio +async def test_regenerate_premium_gate_requires_actual_master_key(): + # ``regenerate_key_fn``'s decorator wraps the underlying ValueError + # into a ProxyException with empty ``message``. The exception type + # alone confirms the premium gate fired. + from litellm.proxy._types import RegenerateKeyRequest + from litellm.proxy.management_endpoints.key_management_endpoints import ( + regenerate_key_fn, + ) + + data = RegenerateKeyRequest(key="sk-not-master", new_master_key="anything") + + with ( + patch("litellm.proxy.proxy_server.premium_user", False), + patch("litellm.proxy.proxy_server.master_key", "sk-the-real-master-key"), + patch("litellm.proxy.proxy_server.prisma_client", AsyncMock()), + pytest.raises((ValueError, HTTPException, ProxyException)), + ): + await regenerate_key_fn( + key="sk-not-master", + data=data, + user_api_key_dict=_non_admin_user_api_key_dict(), + ) + + +@pytest.mark.asyncio +async def test_regenerate_premium_gate_allows_actual_master_key_holder(): + from litellm.proxy._types import RegenerateKeyRequest + from litellm.proxy.management_endpoints.key_management_endpoints import ( + regenerate_key_fn, + ) + + master = "sk-the-real-master-key" + data = RegenerateKeyRequest(key=master, new_master_key="sk-new-master") + + with ( + patch("litellm.proxy.proxy_server.premium_user", False), + patch("litellm.proxy.proxy_server.master_key", master), + patch("litellm.proxy.proxy_server.prisma_client", AsyncMock()), + patch( + "litellm.proxy.management_endpoints.key_management_endpoints._rotate_master_key", + new_callable=AsyncMock, + ), + ): + result = await regenerate_key_fn( + key=master, + data=data, + user_api_key_dict=UserAPIKeyAuth( + user_role=LitellmUserRoles.PROXY_ADMIN, + api_key=master, + user_id="admin", + ), + ) + + assert result.token == "sk-new-master" diff --git a/tests/test_litellm/proxy/management_endpoints/test_mcp_management_endpoints.py b/tests/test_litellm/proxy/management_endpoints/test_mcp_management_endpoints.py index f0909afcbf6..30ad84e18b8 100644 --- a/tests/test_litellm/proxy/management_endpoints/test_mcp_management_endpoints.py +++ b/tests/test_litellm/proxy/management_endpoints/test_mcp_management_endpoints.py @@ -2491,6 +2491,32 @@ class TestMCPApprovalWorkflow: assert exc_info.value.status_code == 400 assert "team" in str(exc_info.value.detail).lower() + @pytest.mark.asyncio + async def test_register_mcp_server_rejects_stdio_transport(self): + # stdio servers spawn a local subprocess on the proxy host. Accepting + # them from the non-admin submission endpoint would let a team member + # propose a config that an admin could rubber-stamp into local code + # execution. Admins use POST /v1/mcp/server or config.yaml instead. + from litellm.proxy.management_endpoints.mcp_management_endpoints import ( + register_mcp_server, + ) + + payload = NewMCPServerRequest( + alias="local", + transport=MCPTransport.stdio, + command="python3", + args=["-m", "mcp_server_filesystem", "/tmp"], + ) + user_auth = generate_mock_user_api_key_auth( + user_role=LitellmUserRoles.INTERNAL_USER, + team_id="team-123", + user_id="user-abc", + ) + with pytest.raises(HTTPException) as exc_info: + await register_mcp_server(payload=payload, user_api_key_dict=user_auth) + assert exc_info.value.status_code == 400 + assert "stdio" in str(exc_info.value.detail).lower() + @pytest.mark.asyncio async def test_register_mcp_server_sets_pending_review(self): from litellm.proxy._types import MCPApprovalStatus diff --git a/tests/test_litellm/proxy/management_endpoints/test_project_org_authz.py b/tests/test_litellm/proxy/management_endpoints/test_project_org_authz.py index bd982480d60..a06d79306ab 100644 --- a/tests/test_litellm/proxy/management_endpoints/test_project_org_authz.py +++ b/tests/test_litellm/proxy/management_endpoints/test_project_org_authz.py @@ -34,7 +34,7 @@ async def test_project_perm_check_uses_current_team_not_caller_supplied(): """The permission check must look at the project's existing team. Even if the caller is admin of an unrelated team, they must not pass when no explicit team_object is forced through.""" - from enterprise.litellm_enterprise.proxy.management_endpoints.project_endpoints import ( + from litellm_enterprise.proxy.management_endpoints.project_endpoints import ( _check_user_permission_for_project, ) @@ -56,7 +56,7 @@ async def test_project_perm_check_uses_current_team_not_caller_supplied(): @pytest.mark.asyncio async def test_project_perm_check_allows_team_admin_of_existing_team(): - from enterprise.litellm_enterprise.proxy.management_endpoints.project_endpoints import ( + from litellm_enterprise.proxy.management_endpoints.project_endpoints import ( _check_user_permission_for_project, ) @@ -76,7 +76,7 @@ async def test_project_perm_check_allows_team_admin_of_existing_team(): @pytest.mark.asyncio async def test_project_perm_check_proxy_admin_always_allowed(): - from enterprise.litellm_enterprise.proxy.management_endpoints.project_endpoints import ( + from litellm_enterprise.proxy.management_endpoints.project_endpoints import ( _check_user_permission_for_project, ) diff --git a/tests/test_litellm/proxy/management_endpoints/test_tag_management_endpoints.py b/tests/test_litellm/proxy/management_endpoints/test_tag_management_endpoints.py index 39ec6f075d7..76ba0e3dc67 100644 --- a/tests/test_litellm/proxy/management_endpoints/test_tag_management_endpoints.py +++ b/tests/test_litellm/proxy/management_endpoints/test_tag_management_endpoints.py @@ -380,6 +380,408 @@ async def test_list_tags_no_dynamic_tags(): app.dependency_overrides.clear() +async def test_internal_user_list_tags_only_returns_tags_used_by_their_keys(): + """ + Internal users can view tag usage, but the tag list must be scoped to tags + produced by API keys owned by the caller. + """ + from datetime import datetime + from unittest.mock import AsyncMock, Mock + + from litellm.proxy.auth.user_api_key_auth import user_api_key_auth + + mock_user_auth = UserAPIKeyAuth( + api_key="current-owned-key", + user_id="internal-user-123", + user_role=LitellmUserRoles.INTERNAL_USER, + ) + app.dependency_overrides[user_api_key_auth] = lambda: mock_user_auth + + try: + with patch("litellm.proxy.proxy_server.prisma_client") as mock_prisma: + mock_db = Mock() + mock_prisma.db = mock_db + + owned_key_record = Mock() + owned_key_record.token = "owned-key" + mock_db.litellm_verificationtoken.find_many = AsyncMock( + return_value=[owned_key_record] + ) + + mock_db.litellm_dailytagspend.group_by = AsyncMock( + return_value=[ + { + "tag": "stored-owned-tag", + "_min": {"created_at": "2025-02-01T00:00:00Z"}, + "_max": {"updated_at": "2025-03-01T00:00:00Z"}, + }, + { + "tag": "dynamic-owned-tag", + "_min": {"created_at": "2025-02-02T00:00:00Z"}, + "_max": {"updated_at": "2025-03-02T00:00:00Z"}, + }, + ] + ) + + stored_tag = Mock() + stored_tag.tag_name = "stored-owned-tag" + stored_tag.description = "A stored tag used by the caller" + stored_tag.models = ["model-1"] + stored_tag.model_info = {} + stored_tag.spend = 0.0 + stored_tag.budget_id = None + stored_tag.created_at = datetime(2025, 1, 1) + stored_tag.updated_at = datetime(2025, 1, 1) + stored_tag.created_by = "admin-user" + stored_tag.litellm_budget_table = None + mock_db.litellm_tagtable.find_many = AsyncMock(return_value=[stored_tag]) + + response = client.get( + "/tag/list", + headers={"Authorization": "Bearer test-key"}, + ) + + assert response.status_code == 200 + assert [tag["name"] for tag in response.json()] == [ + "stored-owned-tag", + "dynamic-owned-tag", + ] + mock_db.litellm_verificationtoken.find_many.assert_awaited_once_with( + where={"user_id": "internal-user-123"}, + select={"token": True}, + ) + mock_db.litellm_dailytagspend.group_by.assert_awaited_once_with( + by=["tag"], + where={ + "tag": {"not": None}, + "api_key": {"in": ["current-owned-key", "owned-key"]}, + }, + min={"created_at": True}, + max={"updated_at": True}, + ) + mock_db.litellm_tagtable.find_many.assert_awaited_once_with( + where={"tag_name": {"in": ["stored-owned-tag", "dynamic-owned-tag"]}}, + include={"litellm_budget_table": True}, + ) + + finally: + app.dependency_overrides.clear() + + +@pytest.mark.asyncio +async def test_list_tags_with_date_range_filters_dynamic_tags(): + """ + /tag/list?start_date=...&end_date=... should push the date window into + the dailytagspend group_by WHERE clause so large tables don't get scanned. + """ + from unittest.mock import AsyncMock, Mock + + from litellm.proxy.auth.user_api_key_auth import user_api_key_auth + + mock_user_auth = UserAPIKeyAuth( + user_id="test-user-123", + user_role=LitellmUserRoles.PROXY_ADMIN, + ) + app.dependency_overrides[user_api_key_auth] = lambda: mock_user_auth + + try: + with patch("litellm.proxy.proxy_server.prisma_client") as mock_prisma: + mock_db = Mock() + mock_prisma.db = mock_db + mock_db.litellm_tagtable.find_many = AsyncMock(return_value=[]) + group_by_mock = AsyncMock(return_value=[]) + mock_db.litellm_dailytagspend.group_by = group_by_mock + + headers = {"Authorization": "Bearer sk-1234"} + response = client.get( + "/tag/list?start_date=2026-04-01&end_date=2026-04-29", + headers=headers, + ) + + assert response.status_code == 200 + group_by_mock.assert_awaited_once() + where = group_by_mock.await_args.kwargs["where"] + assert where["tag"] == {"not": None} + assert where["date"] == {"gte": "2026-04-01", "lte": "2026-04-29"} + + finally: + app.dependency_overrides.clear() + + +@pytest.mark.asyncio +async def test_internal_user_tag_daily_activity_is_scoped_to_their_keys(): + """ + Internal users must not receive proxy-wide tag spend rows when viewing tag + usage daily activity. + """ + from unittest.mock import AsyncMock, Mock + + from litellm.proxy.management_endpoints.tag_management_endpoints import ( + get_tag_daily_activity, + ) + + mock_user_auth = UserAPIKeyAuth( + user_id="internal-user-123", + user_role=LitellmUserRoles.INTERNAL_USER_VIEW_ONLY, + ) + + with ( + patch("litellm.proxy.proxy_server.prisma_client") as mock_prisma, + patch( + "litellm.proxy.management_endpoints.tag_management_endpoints.get_daily_activity", + new_callable=AsyncMock, + ) as mock_get_daily_activity, + ): + mock_db = Mock() + mock_prisma.db = mock_db + + owned_key_record = Mock() + owned_key_record.token = "owned-key" + mock_db.litellm_verificationtoken.find_many = AsyncMock( + return_value=[owned_key_record] + ) + mock_get_daily_activity.return_value = "daily-activity-response" + + result = await get_tag_daily_activity( + start_date="2025-01-01", + end_date="2025-01-31", + user_api_key_dict=mock_user_auth, + ) + + assert result == "daily-activity-response" + mock_get_daily_activity.assert_awaited_once() + assert mock_get_daily_activity.await_args.kwargs["api_key"] == ["owned-key"] + + +@pytest.mark.asyncio +async def test_internal_user_tag_daily_activity_rejects_unowned_api_key_filter(): + """ + If an internal user filters tag usage by an API key they do not own, the + endpoint should return an empty scoped filter instead of exposing that key's + tag spend. + """ + from unittest.mock import AsyncMock, Mock + + from litellm.proxy.management_endpoints.tag_management_endpoints import ( + get_tag_daily_activity, + ) + + mock_user_auth = UserAPIKeyAuth( + user_id="internal-user-123", + user_role=LitellmUserRoles.INTERNAL_USER, + ) + + with ( + patch("litellm.proxy.proxy_server.prisma_client") as mock_prisma, + patch( + "litellm.proxy.management_endpoints.tag_management_endpoints.get_daily_activity", + new_callable=AsyncMock, + ) as mock_get_daily_activity, + ): + mock_db = Mock() + mock_prisma.db = mock_db + + owned_key_record = Mock() + owned_key_record.token = "owned-key" + mock_db.litellm_verificationtoken.find_many = AsyncMock( + return_value=[owned_key_record] + ) + result = await get_tag_daily_activity( + start_date="2025-01-01", + end_date="2025-01-31", + api_key="unowned-key", + user_api_key_dict=mock_user_auth, + ) + + assert result.results == [] + assert result.metadata.total_spend == 0 + assert result.metadata.total_api_requests == 0 + mock_get_daily_activity.assert_not_awaited() + + +@pytest.mark.asyncio +async def test_internal_user_tag_daily_activity_scopes_to_current_key_without_user_id(): + """ + If an internal-user token has no user_id, it should still scope tag usage to + the current request key instead of falling back to proxy-wide tag spend. + """ + from unittest.mock import AsyncMock, Mock + + from litellm.proxy.management_endpoints.tag_management_endpoints import ( + get_tag_daily_activity, + ) + + mock_user_auth = UserAPIKeyAuth( + api_key="current-owned-key", + user_id=None, + user_role=LitellmUserRoles.INTERNAL_USER, + ) + + with ( + patch("litellm.proxy.proxy_server.prisma_client") as mock_prisma, + patch( + "litellm.proxy.management_endpoints.tag_management_endpoints.get_daily_activity", + new_callable=AsyncMock, + ) as mock_get_daily_activity, + ): + mock_db = Mock() + mock_prisma.db = mock_db + mock_db.litellm_verificationtoken.find_many = AsyncMock(return_value=[]) + mock_get_daily_activity.return_value = "daily-activity-response" + + result = await get_tag_daily_activity( + start_date="2025-01-01", + end_date="2025-01-31", + user_api_key_dict=mock_user_auth, + ) + + assert result == "daily-activity-response" + mock_db.litellm_verificationtoken.find_many.assert_not_awaited() + mock_get_daily_activity.assert_awaited_once() + assert mock_get_daily_activity.await_args.kwargs["api_key"] == [ + "current-owned-key" + ] + + +@pytest.mark.asyncio +async def test_internal_user_tag_daily_activity_without_any_scoped_keys_returns_empty(): + """ + If an internal-user token has neither user_id nor api_key, the endpoint must + return an empty response instead of dropping the API key filter. + """ + from unittest.mock import AsyncMock, Mock + + from litellm.proxy.management_endpoints.tag_management_endpoints import ( + get_tag_daily_activity, + ) + + mock_user_auth = UserAPIKeyAuth( + user_id=None, + user_role=LitellmUserRoles.INTERNAL_USER, + ) + + with ( + patch("litellm.proxy.proxy_server.prisma_client") as mock_prisma, + patch( + "litellm.proxy.management_endpoints.tag_management_endpoints.get_daily_activity", + new_callable=AsyncMock, + ) as mock_get_daily_activity, + ): + mock_db = Mock() + mock_prisma.db = mock_db + mock_db.litellm_verificationtoken.find_many = AsyncMock(return_value=[]) + + result = await get_tag_daily_activity( + start_date="2025-01-01", + end_date="2025-01-31", + user_api_key_dict=mock_user_auth, + ) + + assert result.results == [] + assert result.metadata.total_spend == 0 + assert result.metadata.total_api_requests == 0 + mock_db.litellm_verificationtoken.find_many.assert_not_awaited() + mock_get_daily_activity.assert_not_awaited() + + +@pytest.mark.asyncio +async def test_get_tag_daily_activity_requires_database_connection(): + """ + Tag daily activity should fail with the same explicit DB error used by other + tag endpoints instead of raising an AttributeError during scope resolution. + """ + from litellm.proxy.management_endpoints.tag_management_endpoints import ( + get_tag_daily_activity, + ) + + mock_user_auth = UserAPIKeyAuth( + user_id="internal-user-123", + user_role=LitellmUserRoles.INTERNAL_USER, + ) + + with patch("litellm.proxy.proxy_server.prisma_client", None): + with pytest.raises(HTTPException) as exc_info: + await get_tag_daily_activity( + start_date="2025-01-01", + end_date="2025-01-31", + user_api_key_dict=mock_user_auth, + ) + + assert exc_info.value.status_code == 500 + assert exc_info.value.detail == "Database not connected" + + +@pytest.mark.asyncio +async def test_list_tags_without_date_range_omits_date_filter(): + """When no date range is passed, the WHERE clause must not carry a date key.""" + from unittest.mock import AsyncMock, Mock + + from litellm.proxy.auth.user_api_key_auth import user_api_key_auth + + mock_user_auth = UserAPIKeyAuth( + user_id="test-user-123", + user_role=LitellmUserRoles.PROXY_ADMIN, + ) + app.dependency_overrides[user_api_key_auth] = lambda: mock_user_auth + + try: + with patch("litellm.proxy.proxy_server.prisma_client") as mock_prisma: + mock_db = Mock() + mock_prisma.db = mock_db + mock_db.litellm_tagtable.find_many = AsyncMock(return_value=[]) + group_by_mock = AsyncMock(return_value=[]) + mock_db.litellm_dailytagspend.group_by = group_by_mock + + headers = {"Authorization": "Bearer sk-1234"} + response = client.get("/tag/list", headers=headers) + + assert response.status_code == 200 + group_by_mock.assert_awaited_once() + where = group_by_mock.await_args.kwargs["where"] + assert "date" not in where + + finally: + app.dependency_overrides.clear() + + +@pytest.mark.parametrize( + "query, expected_detail_fragment", + [ + ("?start_date=2026-04-01", "must be provided together"), + ("?end_date=2026-04-29", "must be provided together"), + ("?start_date=2026-04-29&end_date=2026-04-01", "on or before end_date"), + ("?start_date=not-a-date&end_date=2026-04-29", "YYYY-MM-DD"), + ], +) +@pytest.mark.asyncio +async def test_list_tags_rejects_invalid_date_range(query, expected_detail_fragment): + from unittest.mock import AsyncMock, Mock + + from litellm.proxy.auth.user_api_key_auth import user_api_key_auth + + mock_user_auth = UserAPIKeyAuth( + user_id="test-user-123", + user_role=LitellmUserRoles.PROXY_ADMIN, + ) + app.dependency_overrides[user_api_key_auth] = lambda: mock_user_auth + + try: + with patch("litellm.proxy.proxy_server.prisma_client") as mock_prisma: + mock_db = Mock() + mock_prisma.db = mock_db + mock_db.litellm_tagtable.find_many = AsyncMock(return_value=[]) + mock_db.litellm_dailytagspend.group_by = AsyncMock(return_value=[]) + + headers = {"Authorization": "Bearer sk-1234"} + response = client.get(f"/tag/list{query}", headers=headers) + + assert response.status_code == 400 + assert expected_detail_fragment in response.json()["detail"] + + finally: + app.dependency_overrides.clear() + + @pytest.mark.asyncio async def test_get_deployments_by_model_id(): """ 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 e668672dd2a..5c7bbc46c95 100644 --- a/tests/test_litellm/proxy/management_endpoints/test_team_endpoints.py +++ b/tests/test_litellm/proxy/management_endpoints/test_team_endpoints.py @@ -3140,6 +3140,121 @@ async def test_list_team_v2_with_invalid_status(): assert "deleted" in str(exc_info.value.detail) +@pytest.mark.asyncio +async def test_list_team_v2_search_builds_or_clause(): + """ + `search` should be passed as a Prisma OR across team_id (exact) and + team_alias (case-insensitive contains), so the UI can hit a single + backend filter with either a UUID or a name fragment. + """ + from unittest.mock import AsyncMock, Mock, patch + + from fastapi import Request + + from litellm.proxy._types import LitellmUserRoles, UserAPIKeyAuth + from litellm.proxy.management_endpoints.team_endpoints import list_team_v2 + + mock_request = Mock(spec=Request) + mock_admin = UserAPIKeyAuth( + user_role=LitellmUserRoles.PROXY_ADMIN, user_id="admin_user" + ) + + with patch("litellm.proxy.proxy_server.prisma_client") as mock_prisma_client: + mock_db = Mock() + mock_prisma_client.db = mock_db + mock_db.litellm_teamtable.find_many = AsyncMock(return_value=[]) + mock_db.litellm_teamtable.count = AsyncMock(return_value=0) + + await list_team_v2( + http_request=mock_request, + user_id=None, + organization_id=None, + team_id=None, + team_alias=None, + search="platform", + user_api_key_dict=mock_admin, + page=1, + page_size=10, + status=None, + ) + + find_many_kwargs = mock_db.litellm_teamtable.find_many.call_args.kwargs + assert find_many_kwargs["where"] == { + "OR": [ + {"team_id": "platform"}, + {"team_alias": {"contains": "platform", "mode": "insensitive"}}, + ] + } + + +@pytest.mark.asyncio +async def test_list_team_v2_search_composes_with_user_id_filter(): + """ + For non-admin users, `search` must compose with the membership filter: + the resulting where clause should AND `team_id IN ` with + the search OR clause, so users still only see their own teams. + """ + from datetime import datetime + from unittest.mock import AsyncMock, Mock, patch + + from fastapi import Request + + from litellm.proxy._types import ( + LiteLLM_UserTable, + LitellmUserRoles, + UserAPIKeyAuth, + ) + from litellm.proxy.management_endpoints.team_endpoints import list_team_v2 + + mock_request = Mock(spec=Request) + mock_user_api_key_dict = UserAPIKeyAuth( + user_role=LitellmUserRoles.INTERNAL_USER, user_id="member_user" + ) + + mock_user = LiteLLM_UserTable( + user_id="member_user", + teams=["team_a", "team_b"], + organization_memberships=[], + ) + + with ( + patch("litellm.proxy.proxy_server.prisma_client") as mock_prisma, + patch( + "litellm.proxy.management_endpoints.team_endpoints.get_user_object", + new=AsyncMock(return_value=mock_user), + ), + patch( + "litellm.proxy.management_endpoints.team_endpoints._get_org_admin_org_ids", + new=AsyncMock(return_value=None), + ), + ): + mock_db = Mock() + mock_prisma.db = mock_db + mock_db.litellm_teamtable.find_many = AsyncMock(return_value=[]) + mock_db.litellm_teamtable.count = AsyncMock(return_value=0) + + await list_team_v2( + http_request=mock_request, + user_id="member_user", + organization_id=None, + team_id=None, + team_alias=None, + search="team_a", + user_api_key_dict=mock_user_api_key_dict, + page=1, + page_size=10, + status=None, + ) + + find_many_kwargs = mock_db.litellm_teamtable.find_many.call_args.kwargs + where = find_many_kwargs["where"] + assert where["OR"] == [ + {"team_id": "team_a"}, + {"team_alias": {"contains": "team_a", "mode": "insensitive"}}, + ] + assert where["team_id"] == {"in": ["team_a", "team_b"]} + + @pytest.mark.asyncio async def test_team_member_delete_cleans_membership(mock_db_client, mock_admin_auth): """ diff --git a/tests/test_litellm/proxy/management_endpoints/test_ui_sso.py b/tests/test_litellm/proxy/management_endpoints/test_ui_sso.py index 2dcf6becbb1..83317157847 100644 --- a/tests/test_litellm/proxy/management_endpoints/test_ui_sso.py +++ b/tests/test_litellm/proxy/management_endpoints/test_ui_sso.py @@ -1797,15 +1797,13 @@ class TestCustomUISSO: ): with patch.dict( "sys.modules", - { - "enterprise.litellm_enterprise.proxy.auth.custom_sso_handler": None - }, + {"litellm_enterprise.proxy.auth.custom_sso_handler": None}, ): # Temporarily mock the google_login function call to test the import error path async def mock_google_login(): # This mimics the relevant part of google_login that would trigger the import error try: - from enterprise.litellm_enterprise.proxy.auth.custom_sso_handler import ( # noqa: F401 + from litellm_enterprise.proxy.auth.custom_sso_handler import ( # noqa: F401 EnterpriseCustomSSOHandler, ) @@ -1828,7 +1826,7 @@ class TestCustomUISSO: """Test successful custom UI SSO sign-in with valid headers""" from fastapi_sso.sso.base import OpenID - from enterprise.litellm_enterprise.proxy.auth.custom_sso_handler import ( + from litellm_enterprise.proxy.auth.custom_sso_handler import ( EnterpriseCustomSSOHandler, ) from litellm.integrations.custom_sso_handler import CustomSSOLoginHandler @@ -1903,7 +1901,7 @@ class TestCustomUISSO: @pytest.mark.asyncio async def test_handle_custom_ui_sso_sign_in_rejects_untrusted_proxy(self): """Custom UI SSO rejects spoofed identity headers from direct clients.""" - from enterprise.litellm_enterprise.proxy.auth.custom_sso_handler import ( + from litellm_enterprise.proxy.auth.custom_sso_handler import ( EnterpriseCustomSSOHandler, ) from litellm.integrations.custom_sso_handler import CustomSSOLoginHandler @@ -1943,7 +1941,7 @@ class TestCustomUISSO: """ from fastapi_sso.sso.base import OpenID - from enterprise.litellm_enterprise.proxy.auth.custom_sso_handler import ( + from litellm_enterprise.proxy.auth.custom_sso_handler import ( EnterpriseCustomSSOHandler, ) from litellm.integrations.custom_sso_handler import CustomSSOLoginHandler diff --git a/tests/test_litellm/proxy/test_litellm_pre_call_utils.py b/tests/test_litellm/proxy/test_litellm_pre_call_utils.py index 92611431a15..19204e8b8ab 100644 --- a/tests/test_litellm/proxy/test_litellm_pre_call_utils.py +++ b/tests/test_litellm/proxy/test_litellm_pre_call_utils.py @@ -21,6 +21,7 @@ from litellm.proxy.litellm_pre_call_utils import ( _get_enforced_params, _get_metadata_variable_name, _resolve_credential_from_model_config, + _resolve_provider_from_deployment, _update_model_if_key_alias_exists, add_guardrails_from_policy_engine, add_litellm_data_to_request, @@ -873,101 +874,8 @@ async def test_add_litellm_data_to_request_allows_redaction_opt_out_with_admin_o @pytest.mark.asyncio -async def test_add_litellm_data_to_request_ignores_x_litellm_tags_header_without_permission(): - """Regression: the `x-litellm-tags` header bypassed the body-metadata - tag strip. Header tags must also be gated by `allow_client_tags`.""" - from litellm.proxy.litellm_pre_call_utils import add_litellm_data_to_request - - request_mock = MagicMock(spec=Request) - request_mock.url.path = "/v1/chat/completions" - request_mock.url = MagicMock() - request_mock.url.__str__.return_value = "http://localhost/v1/chat/completions" - request_mock.method = "POST" - request_mock.query_params = {} - request_mock.headers = { - "Content-Type": "application/json", - "x-litellm-tags": "restricted-tier,victim-team", - } - request_mock.client = MagicMock() - request_mock.client.host = "127.0.0.1" - - data = {"model": "gpt-3.5-turbo"} - - user_api_key_dict = UserAPIKeyAuth( - api_key="hashed-key", - metadata={}, - team_metadata={}, - spend=0.0, - max_budget=100.0, - model_max_budget={}, - team_spend=0.0, - team_max_budget=200.0, - ) - - updated = await add_litellm_data_to_request( - data=data, - request=request_mock, - user_api_key_dict=user_api_key_dict, - proxy_config=MagicMock(), - general_settings={}, - version="test-version", - ) - - assert "tags" not in (updated.get("metadata") or {}) - - -@pytest.mark.asyncio -async def test_add_litellm_data_to_request_ignores_root_level_tags_without_permission(): - """Regression: root-level `data["tags"]` bypassed the body-metadata - tag strip. Root-level tags must also be gated by `allow_client_tags`.""" - from litellm.proxy.litellm_pre_call_utils import add_litellm_data_to_request - - request_mock = MagicMock(spec=Request) - request_mock.url.path = "/v1/chat/completions" - request_mock.url = MagicMock() - request_mock.url.__str__.return_value = "http://localhost/v1/chat/completions" - request_mock.method = "POST" - request_mock.query_params = {} - request_mock.headers = {"Content-Type": "application/json"} - request_mock.client = MagicMock() - request_mock.client.host = "127.0.0.1" - - data = { - "model": "gpt-3.5-turbo", - "tags": ["restricted-tier", "victim-team"], - } - - user_api_key_dict = UserAPIKeyAuth( - api_key="hashed-key", - metadata={}, - team_metadata={}, - spend=0.0, - max_budget=100.0, - model_max_budget={}, - team_spend=0.0, - team_max_budget=200.0, - ) - - updated = await add_litellm_data_to_request( - data=data, - request=request_mock, - user_api_key_dict=user_api_key_dict, - proxy_config=MagicMock(), - general_settings={}, - version="test-version", - ) - - assert "tags" not in (updated.get("metadata") or {}) - # Also ensure the root-level tags are removed. get_tags_from_request_body - # reads request_body["tags"] directly, so leaving it in place would let - # the policy engine see caller-supplied tags even after the metadata - # strip. - assert "tags" not in updated - - -@pytest.mark.asyncio -async def test_add_litellm_data_to_request_honors_header_tags_when_opted_in(): - """When allow_client_tags=True, header-supplied tags flow through.""" +async def test_add_litellm_data_to_request_honors_header_tags(): + """Header-supplied tags flow through to request metadata.""" from litellm.proxy.litellm_pre_call_utils import add_litellm_data_to_request request_mock = MagicMock(spec=Request) @@ -987,7 +895,7 @@ async def test_add_litellm_data_to_request_honors_header_tags_when_opted_in(): user_api_key_dict = UserAPIKeyAuth( api_key="hashed-key", - metadata={"allow_client_tags": True}, + metadata={}, team_metadata={}, spend=0.0, max_budget=100.0, @@ -1009,11 +917,8 @@ async def test_add_litellm_data_to_request_honors_header_tags_when_opted_in(): @pytest.mark.asyncio -async def test_add_litellm_data_to_request_strips_user_tags_without_permission(): - """Caller-supplied metadata.tags must be stripped when the key/team - metadata does not opt in via allow_client_tags=True. Otherwise an - attacker can reach restricted tag-routed deployments or attribute - spend to a victim team's tag.""" +async def test_add_litellm_data_to_request_preserves_caller_metadata_tags(): + """Caller-supplied metadata.tags are preserved and reach the router.""" from litellm.proxy.litellm_pre_call_utils import add_litellm_data_to_request request_mock = MagicMock(spec=Request) @@ -1028,8 +933,7 @@ async def test_add_litellm_data_to_request_strips_user_tags_without_permission() data = { "model": "gpt-3.5-turbo", - "metadata": {"tags": ["restricted-tier", "victim-team"]}, - "litellm_metadata": {"tags": ["also-stripped"]}, + "metadata": {"tags": ["caller-tag"]}, } user_api_key_dict = UserAPIKeyAuth( @@ -1052,101 +956,13 @@ async def test_add_litellm_data_to_request_strips_user_tags_without_permission() version="test-version", ) - assert "tags" not in (updated.get("metadata") or {}) - assert "tags" not in (updated.get("litellm_metadata") or {}) - - -@pytest.mark.asyncio -async def test_add_litellm_data_to_request_preserves_user_tags_when_key_opts_in(): - """When key.metadata.allow_client_tags=True, caller-supplied tags are - preserved and reach the router.""" - from litellm.proxy.litellm_pre_call_utils import add_litellm_data_to_request - - request_mock = MagicMock(spec=Request) - request_mock.url.path = "/v1/chat/completions" - request_mock.url = MagicMock() - request_mock.url.__str__.return_value = "http://localhost/v1/chat/completions" - request_mock.method = "POST" - request_mock.query_params = {} - request_mock.headers = {"Content-Type": "application/json"} - request_mock.client = MagicMock() - request_mock.client.host = "127.0.0.1" - - data = { - "model": "gpt-3.5-turbo", - "metadata": {"tags": ["opted-in-tag"]}, - } - - user_api_key_dict = UserAPIKeyAuth( - api_key="hashed-key", - metadata={"allow_client_tags": True}, - team_metadata={}, - spend=0.0, - max_budget=100.0, - model_max_budget={}, - team_spend=0.0, - team_max_budget=200.0, - ) - - updated = await add_litellm_data_to_request( - data=data, - request=request_mock, - user_api_key_dict=user_api_key_dict, - proxy_config=MagicMock(), - general_settings={}, - version="test-version", - ) - - assert updated["metadata"].get("tags") == ["opted-in-tag"] - - -@pytest.mark.asyncio -async def test_add_litellm_data_to_request_preserves_user_tags_when_team_opts_in(): - """Team-level allow_client_tags is also honored (not just key-level).""" - from litellm.proxy.litellm_pre_call_utils import add_litellm_data_to_request - - request_mock = MagicMock(spec=Request) - request_mock.url.path = "/v1/chat/completions" - request_mock.url = MagicMock() - request_mock.url.__str__.return_value = "http://localhost/v1/chat/completions" - request_mock.method = "POST" - request_mock.query_params = {} - request_mock.headers = {"Content-Type": "application/json"} - request_mock.client = MagicMock() - request_mock.client.host = "127.0.0.1" - - data = { - "model": "gpt-3.5-turbo", - "metadata": {"tags": ["team-allowed"]}, - } - - user_api_key_dict = UserAPIKeyAuth( - api_key="hashed-key", - metadata={}, - team_metadata={"allow_client_tags": True}, - spend=0.0, - max_budget=100.0, - model_max_budget={}, - team_spend=0.0, - team_max_budget=200.0, - ) - - updated = await add_litellm_data_to_request( - data=data, - request=request_mock, - user_api_key_dict=user_api_key_dict, - proxy_config=MagicMock(), - general_settings={}, - version="test-version", - ) - - assert updated["metadata"].get("tags") == ["team-allowed"] + assert updated["metadata"].get("tags") == ["caller-tag"] @pytest.mark.asyncio async def test_add_litellm_data_to_request_unions_caller_header_tags_with_static_key_tags(): """Caller-supplied `x-litellm-tags` must union with static key-level - tags, not overwrite them, when `allow_client_tags=True`.""" + tags, not overwrite them.""" from litellm.proxy.litellm_pre_call_utils import add_litellm_data_to_request request_mock = MagicMock(spec=Request) @@ -1166,10 +982,7 @@ async def test_add_litellm_data_to_request_unions_caller_header_tags_with_static user_api_key_dict = UserAPIKeyAuth( api_key="hashed-key", - metadata={ - "allow_client_tags": True, - "tags": ["team:platform", "env:prod"], - }, + metadata={"tags": ["team:platform", "env:prod"]}, team_metadata={}, spend=0.0, max_budget=100.0, @@ -1216,10 +1029,7 @@ async def test_add_litellm_data_to_request_unions_caller_header_tags_with_static user_api_key_dict = UserAPIKeyAuth( api_key="hashed-key", metadata={}, - team_metadata={ - "allow_client_tags": True, - "tags": ["team:eng", "owner:platform"], - }, + team_metadata={"tags": ["team:eng", "owner:platform"]}, spend=0.0, max_budget=100.0, model_max_budget={}, @@ -1265,10 +1075,7 @@ async def test_add_litellm_data_to_request_unions_dedups_overlapping_caller_and_ user_api_key_dict = UserAPIKeyAuth( api_key="hashed-key", - metadata={ - "allow_client_tags": True, - "tags": ["env:prod", "team:platform"], - }, + metadata={"tags": ["env:prod", "team:platform"]}, team_metadata={}, spend=0.0, max_budget=100.0, @@ -1363,11 +1170,9 @@ async def test_add_litellm_data_to_request_audio_transcription_multipart(): "file": b"Fake audio bytes", } - # Opt the key in to client-supplied tags so the parsed tags from the - # JSON-string multipart body aren't stripped by the admin-injection strip. user_api_key_dict = UserAPIKeyAuth( api_key="hashed-key", - metadata={"allow_client_tags": True}, + metadata={}, team_metadata={}, spend=0.0, max_budget=100.0, @@ -4043,3 +3848,451 @@ def test_get_guardrail_from_metadata_reads_litellm_metadata_when_no_metadata(): assert result == [ "my-guardrail" ], f"Expected guardrails from litellm_metadata fallback, got: {result}" + + +def _build_request_mock_with_headers(headers: dict) -> Request: + request_mock = MagicMock(spec=Request) + request_mock.url = MagicMock() + request_mock.url.path = "/v1/chat/completions" + request_mock.url.__str__.return_value = "http://localhost/v1/chat/completions" + request_mock.method = "POST" + request_mock.query_params = {} + request_mock.headers = headers + request_mock.client = MagicMock() + request_mock.client.host = "127.0.0.1" + request_mock.state = MagicMock() + request_mock.state._cached_headers = None + return request_mock + + +class TestApplyClientTagPolicyPreAuth: + """Tests for ``LiteLLMProxyRequestSetup.apply_client_tag_policy_pre_auth``. + + Regression coverage for the bug where ``x-litellm-tags`` header was + invisible to ``_tag_max_budget_check`` because the merge happened + post-auth in ``add_litellm_data_to_request``. + """ + + def test_merges_header_tags_into_metadata(self): + request_mock = _build_request_mock_with_headers( + {"x-litellm-tags": "tenant:acme,env:prod"} + ) + data = {"model": "gpt-3.5-turbo"} + user_api_key_dict = UserAPIKeyAuth( + api_key="hashed-key", + metadata={}, + team_metadata={}, + ) + + LiteLLMProxyRequestSetup.apply_client_tag_policy_pre_auth( + request=request_mock, + request_data=data, + user_api_key_dict=user_api_key_dict, + ) + + assert data["metadata"]["tags"] == ["tenant:acme", "env:prod"] + + def test_unions_header_tags_with_existing_metadata_tags(self): + request_mock = _build_request_mock_with_headers( + {"x-litellm-tags": "tenant:acme,env:prod"} + ) + data = { + "model": "gpt-3.5-turbo", + "metadata": {"tags": ["env:prod", "team:platform"]}, + } + user_api_key_dict = UserAPIKeyAuth( + api_key="hashed-key", + metadata={}, + team_metadata={}, + ) + + LiteLLMProxyRequestSetup.apply_client_tag_policy_pre_auth( + request=request_mock, + request_data=data, + user_api_key_dict=user_api_key_dict, + ) + + # Existing tags first, dedupe header tags + assert data["metadata"]["tags"] == ["env:prod", "team:platform", "tenant:acme"] + + def test_preserves_body_tags(self): + # Pre-auth must NOT touch body-supplied tags. _tag_max_budget_check + # (inside common_checks) enforces per-tag budgets on whatever tags + # it sees in request_data, including body tags. The helper only + # adds header tags to metadata.tags. + request_mock = _build_request_mock_with_headers( + {"x-litellm-tags": "tenant:acme"} + ) + data = { + "model": "gpt-3.5-turbo", + "tags": ["root-tag"], + "litellm_metadata": {"tags": ["litellm-meta-tag"]}, + } + user_api_key_dict = UserAPIKeyAuth( + api_key="hashed-key", + metadata={}, + team_metadata={}, + ) + + LiteLLMProxyRequestSetup.apply_client_tag_policy_pre_auth( + request=request_mock, + request_data=data, + user_api_key_dict=user_api_key_dict, + ) + + assert data["tags"] == ["root-tag"] + # litellm_metadata is the active metadata key (it's present), so + # header tags merge into it and union with existing tags there. + assert data["litellm_metadata"]["tags"] == [ + "litellm-meta-tag", + "tenant:acme", + ] + + def test_uses_litellm_metadata_when_present(self): + request_mock = _build_request_mock_with_headers( + {"x-litellm-tags": "tenant:acme"} + ) + data = { + "model": "gpt-3.5-turbo", + "litellm_metadata": {"foo": "bar"}, + } + user_api_key_dict = UserAPIKeyAuth( + api_key="hashed-key", + metadata={}, + team_metadata={}, + ) + + LiteLLMProxyRequestSetup.apply_client_tag_policy_pre_auth( + request=request_mock, + request_data=data, + user_api_key_dict=user_api_key_dict, + ) + + # get_metadata_variable_name_from_kwargs returns "litellm_metadata" + # when present, so header tags should land there to be visible to + # _tag_max_budget_check. + assert data["litellm_metadata"]["tags"] == ["tenant:acme"] + assert "tags" not in data.get("metadata", {}) + + def test_no_header_no_mutation(self): + request_mock = _build_request_mock_with_headers({}) + data = {"model": "gpt-3.5-turbo"} + user_api_key_dict = UserAPIKeyAuth( + api_key="hashed-key", + metadata={}, + team_metadata={}, + ) + + LiteLLMProxyRequestSetup.apply_client_tag_policy_pre_auth( + request=request_mock, + request_data=data, + user_api_key_dict=user_api_key_dict, + ) + + assert "metadata" not in data or "tags" not in data["metadata"] + + def test_string_metadata_tags_survive_header_merge(self): + # metadata can arrive as a JSON string (multipart/form-data, extra_body). + # The pre-auth merge must parse it so an over-budget body tag isn't + # silently dropped when a within-budget header tag is also present. + request_mock = _build_request_mock_with_headers({"x-litellm-tags": "free"}) + data = { + "model": "gpt-3.5-turbo", + "metadata": '{"tags": ["paid"]}', + } + user_api_key_dict = UserAPIKeyAuth( + api_key="hashed-key", + metadata={}, + team_metadata={}, + ) + + LiteLLMProxyRequestSetup.apply_client_tag_policy_pre_auth( + request=request_mock, + request_data=data, + user_api_key_dict=user_api_key_dict, + ) + + assert isinstance(data["metadata"], dict) + assert data["metadata"]["tags"] == ["paid", "free"] + + @pytest.mark.asyncio + async def test_string_metadata_does_not_bypass_tag_max_budget_check(self): + """Regression: string metadata containing an over-budget tag must not + be silently overwritten when an x-litellm-tags header is present.""" + from litellm.proxy._types import LiteLLM_BudgetTable, LiteLLM_TagTable + from litellm.proxy.auth.auth_checks import _tag_max_budget_check + from litellm.proxy.utils import ProxyLogging + + request_mock = _build_request_mock_with_headers({"x-litellm-tags": "free"}) + data = { + "model": "gpt-3.5-turbo", + "metadata": '{"tags": ["paid"]}', + } + user_api_key_dict = UserAPIKeyAuth( + api_key="hashed-key", + metadata={}, + team_metadata={}, + ) + + LiteLLMProxyRequestSetup.apply_client_tag_policy_pre_auth( + request=request_mock, + request_data=data, + user_api_key_dict=user_api_key_dict, + ) + + paid_tag = LiteLLM_TagTable( + tag_name="paid", + spend=0.0, + litellm_budget_table=LiteLLM_BudgetTable(max_budget=0.10), + ) + + async def mock_get_current_spend(counter_key, fallback_spend): + if counter_key == "spend:tag:paid": + return 0.50 + return fallback_spend + + with ( + patch( + "litellm.proxy.proxy_server.get_current_spend", + mock_get_current_spend, + ), + patch( + "litellm.proxy.auth.auth_checks.get_tag_objects_batch", + new_callable=AsyncMock, + return_value={"paid": paid_tag}, + ), + ): + with pytest.raises(litellm.BudgetExceededError) as exc_info: + await _tag_max_budget_check( + request_body=data, + prisma_client=MagicMock(), + user_api_key_cache=MagicMock(), + proxy_logging_obj=ProxyLogging(user_api_key_cache=None), + valid_token=UserAPIKeyAuth(token="test-token"), + ) + assert exc_info.value.current_cost == 0.50 + assert exc_info.value.max_budget == 0.10 + + @pytest.mark.asyncio + async def test_header_tags_visible_to_tag_max_budget_check(self): + """End-to-end: helper + ``_tag_max_budget_check`` enforces budget on + header-supplied tags. Without the helper, this would silently pass.""" + from litellm.proxy._types import LiteLLM_BudgetTable, LiteLLM_TagTable + from litellm.proxy.auth.auth_checks import _tag_max_budget_check + from litellm.proxy.utils import ProxyLogging + + request_mock = _build_request_mock_with_headers( + {"x-litellm-tags": "tenant:acme"} + ) + data = {"model": "gpt-3.5-turbo"} + user_api_key_dict = UserAPIKeyAuth( + api_key="hashed-key", + metadata={}, + team_metadata={}, + ) + + LiteLLMProxyRequestSetup.apply_client_tag_policy_pre_auth( + request=request_mock, + request_data=data, + user_api_key_dict=user_api_key_dict, + ) + + tag_object = LiteLLM_TagTable( + tag_name="tenant:acme", + spend=0.0, + litellm_budget_table=LiteLLM_BudgetTable(max_budget=0.10), + ) + + async def mock_get_current_spend(counter_key, fallback_spend): + if counter_key == "spend:tag:tenant:acme": + return 0.50 + return fallback_spend + + with ( + patch( + "litellm.proxy.proxy_server.get_current_spend", + mock_get_current_spend, + ), + patch( + "litellm.proxy.auth.auth_checks.get_tag_objects_batch", + new_callable=AsyncMock, + return_value={"tenant:acme": tag_object}, + ), + ): + with pytest.raises(litellm.BudgetExceededError) as exc_info: + await _tag_max_budget_check( + request_body=data, + prisma_client=MagicMock(), + user_api_key_cache=MagicMock(), + proxy_logging_obj=ProxyLogging(user_api_key_cache=None), + valid_token=UserAPIKeyAuth(token="test-token"), + ) + assert exc_info.value.current_cost == 0.50 + assert exc_info.value.max_budget == 0.10 + + +# ============================================================================ +# Tests for #27516: provider hint resolution from deployment when the +# user-facing model name has no provider prefix. +# ============================================================================ + + +def test_resolve_provider_from_deployment_uses_litellm_params_model(): + """When custom_llm_provider is unset, fall back to the prefix of model.""" + router = MagicMock() + deployment = MagicMock() + deployment.litellm_params.model = "bedrock/us.anthropic.claude-sonnet-4-6" + deployment.litellm_params.custom_llm_provider = None + router.get_deployment_by_model_group_name.return_value = deployment + + assert _resolve_provider_from_deployment(router, "claude-sonnet-4.6") == "bedrock" + + +def test_resolve_provider_from_deployment_prefers_custom_llm_provider(): + """Explicit custom_llm_provider on the deployment wins over model prefix.""" + router = MagicMock() + deployment = MagicMock() + deployment.litellm_params.model = "us.anthropic.claude-sonnet-4-6" + deployment.litellm_params.custom_llm_provider = "bedrock" + router.get_deployment_by_model_group_name.return_value = deployment + + assert _resolve_provider_from_deployment(router, "claude-sonnet-4.6") == "bedrock" + + +def test_resolve_provider_from_deployment_no_match(): + """No deployment for the model group -> None.""" + router = MagicMock() + router.get_deployment_by_model_group_name.return_value = None + assert _resolve_provider_from_deployment(router, "unknown-model") is None + + +def test_resolve_provider_from_deployment_router_raises(): + """Router exceptions must not propagate — fall back to None.""" + router = MagicMock() + router.get_deployment_by_model_group_name.side_effect = RuntimeError("boom") + assert _resolve_provider_from_deployment(router, "claude-sonnet-4.6") is None + + +def test_resolve_provider_from_deployment_falls_back_to_pre_alias(): + """If post-alias lookup fails, the pre-alias name is also tried.""" + router = MagicMock() + deployment = MagicMock() + deployment.litellm_params.model = "bedrock/anthropic.claude-sonnet-4-6" + deployment.litellm_params.custom_llm_provider = None + + def lookup(model_group_name): + if model_group_name == "pre-alias-name": + return deployment + return None + + router.get_deployment_by_model_group_name.side_effect = lookup + + result = _resolve_provider_from_deployment( + router, "post-alias-name", pre_alias_model_name="pre-alias-name" + ) + assert result == "bedrock" + + +def test_apply_overrides_multi_provider_default_picks_correct_provider( + setup_test_credentials, +): + """ + Regression for #27516: when defaultconfig has multiple providers and the + request model has no '/' prefix, the deployment's custom_llm_provider must + drive provider matching instead of falling through to dict insertion order. + """ + litellm.credential_list.append( + CredentialItem( + credential_name="bedrock-team-1", + credential_info={}, + credential_values={"api_key": "ABSK-bedrock-key-for-team-1"}, + ) + ) + litellm.credential_list.append( + CredentialItem( + credential_name="gemini-team-1", + credential_info={}, + credential_values={"api_key": "gemini-key-for-team-1"}, + ) + ) + + data = {"model": "claude-sonnet-4.6"} + user_api_key_dict = UserAPIKeyAuth( + api_key="test-key", + team_metadata={ + "model_config": { + "defaultconfig": { + # gemini comes first in insertion order — the bug picked it. + "gemini": {"litellm_credentials": "gemini-team-1"}, + "bedrock": {"litellm_credentials": "bedrock-team-1"}, + } + } + }, + ) + + router = MagicMock() + deployment = MagicMock() + deployment.litellm_params.model = "us.anthropic.claude-sonnet-4-6" + deployment.litellm_params.custom_llm_provider = "bedrock" + router.get_deployment_by_model_group_name.return_value = deployment + + _apply_credential_overrides_from_model_config( + data=data, + user_api_key_dict=user_api_key_dict, + llm_router=router, + ) + assert data["api_key"] == "ABSK-bedrock-key-for-team-1" + + +def test_apply_overrides_no_router_keeps_legacy_behaviour(setup_test_credentials): + """ + Without a router, the function still works for the single-provider case + (the historical behaviour). Multi-provider configs with no '/' prefix + keep the legacy first-entry behaviour because there is no way to + disambiguate — this preserves backwards compatibility. + """ + data = {"model": "gpt-4"} + user_api_key_dict = UserAPIKeyAuth( + api_key="test-key", + team_metadata={ + "model_config": { + "defaultconfig": { + "azure": {"litellm_credentials": "hotel-azure-eastus"} + } + } + }, + ) + _apply_credential_overrides_from_model_config( + data=data, user_api_key_dict=user_api_key_dict, llm_router=None + ) + assert data["api_base"] == "https://hotel-eastus.openai.azure.com/" + assert data["api_key"] == "key-hotel-eastus" + + +def test_apply_overrides_provider_prefix_in_model_skips_router_lookup( + setup_test_credentials, +): + """ + When the request model already has a 'provider/...' prefix, the router + lookup must be skipped — the explicit prefix is authoritative. + """ + data = {"model": "azure/gpt-4"} + user_api_key_dict = UserAPIKeyAuth( + api_key="test-key", + team_metadata={ + "model_config": { + "defaultconfig": { + "azure": {"litellm_credentials": "hotel-azure-eastus"}, + "bedrock": {"litellm_credentials": "hotel-rec-azure"}, + } + } + }, + ) + + router = MagicMock() + _apply_credential_overrides_from_model_config( + data=data, user_api_key_dict=user_api_key_dict, llm_router=router + ) + assert data["api_base"] == "https://hotel-eastus.openai.azure.com/" + assert data["api_key"] == "key-hotel-eastus" + router.get_deployment_by_model_group_name.assert_not_called() diff --git a/tests/test_litellm/proxy/test_openapi_schema_validation.py b/tests/test_litellm/proxy/test_openapi_schema_validation.py index 68d537b2593..b44edc8a3bc 100644 --- a/tests/test_litellm/proxy/test_openapi_schema_validation.py +++ b/tests/test_litellm/proxy/test_openapi_schema_validation.py @@ -140,3 +140,110 @@ class TestCredentialEndpointsOpenAPISchema: assert ( "credential_name" in sig.parameters ), "get_credential_by_name must have a credential_name parameter" + + +class TestWebSocketStubInjection: + """ + Regression test for the v1.82.3 bug where adding a WebSocket route on a path + that already had an HTTP route silently dropped the HTTP operation from the + OpenAPI schema. + + Related case: 2026-05-05-madhu-swagger-responses-missing + """ + + def _make_fake_ws_route(self, path: str, name: str = "fake_ws"): + """Minimal stand-in for fastapi.routing.APIWebSocketRoute for the helper's purposes.""" + from types import SimpleNamespace + + return SimpleNamespace(path=path, name=name, dependant=None) + + def test_websocket_stub_does_not_clobber_existing_post(self): + """ + When a WebSocket route shares its path with an existing POST operation, + the POST must survive — the WebSocket stub is added alongside, not on top. + """ + from litellm.proxy.proxy_server import ( + _inject_websocket_stubs_into_openapi_schema, + ) + + schema = { + "paths": { + "/v1/responses": { + "post": {"summary": "responses_api", "operationId": "responses_api"} + } + } + } + ws_routes = [self._make_fake_ws_route("/v1/responses", name="responses_ws")] + + result = _inject_websocket_stubs_into_openapi_schema(schema, ws_routes) + + assert ( + "post" in result["paths"]["/v1/responses"] + ), "POST operation must be preserved when a WebSocket route shares the path" + assert ( + result["paths"]["/v1/responses"]["post"]["operationId"] == "responses_api" + ) + assert ( + "get" in result["paths"]["/v1/responses"] + ), "WebSocket stub should also be added under 'get'" + assert result["paths"]["/v1/responses"]["get"]["tags"] == ["WebSocket"] + + def test_websocket_stub_added_when_path_is_new(self): + """ + When a WebSocket route's path is not already in the schema, the stub + creates a fresh entry — preserving the original behavior for WebSocket-only + paths. + """ + from litellm.proxy.proxy_server import ( + _inject_websocket_stubs_into_openapi_schema, + ) + + schema = {"paths": {}} + ws_routes = [self._make_fake_ws_route("/ws_only", name="ws_only")] + + result = _inject_websocket_stubs_into_openapi_schema(schema, ws_routes) + + assert "/ws_only" in result["paths"] + assert "get" in result["paths"]["/ws_only"] + assert result["paths"]["/ws_only"]["get"]["tags"] == ["WebSocket"] + + def test_websocket_stub_skipped_when_existing_get(self): + """ + If a real GET is already documented on the path, the WebSocket stub is + skipped — a real operation always wins over the synthetic stub. This + closes the same trap for future GET-vs-WebSocket collisions. + """ + from litellm.proxy.proxy_server import ( + _inject_websocket_stubs_into_openapi_schema, + ) + + schema = { + "paths": { + "/health": { + "get": {"summary": "health_check", "operationId": "real_get"} + } + } + } + ws_routes = [self._make_fake_ws_route("/health", name="health_ws")] + + result = _inject_websocket_stubs_into_openapi_schema(schema, ws_routes) + + assert ( + result["paths"]["/health"]["get"]["operationId"] == "real_get" + ), "Real GET must take precedence over WebSocket stub" + + def test_responses_post_routes_registered_on_router(self): + """ + Sanity check: the three POST routes for the responses API are still wired + on the responses router. Guards against accidental removal at the source. + """ + from litellm.proxy.response_api_endpoints.endpoints import router + + post_paths = { + route.path + for route in router.routes + if hasattr(route, "methods") + and "POST" in (route.methods or set()) + and route.path in {"/v1/responses", "/responses", "/openai/v1/responses"} + } + assert post_paths == {"/v1/responses", "/responses", "/openai/v1/responses"} diff --git a/tests/test_litellm/proxy/test_proxy_cli.py b/tests/test_litellm/proxy/test_proxy_cli.py index 59b43330a25..327200a6a95 100644 --- a/tests/test_litellm/proxy/test_proxy_cli.py +++ b/tests/test_litellm/proxy/test_proxy_cli.py @@ -1,6 +1,6 @@ import os import sys -from unittest.mock import MagicMock, patch +from unittest.mock import AsyncMock, MagicMock, patch import pytest @@ -387,6 +387,102 @@ class TestProxyInitializationHelpers: ), f"exit_code={result.exit_code}, output={result.output}" mock_uvicorn_run.assert_called_once() + @pytest.mark.parametrize( + "timeout_config,expected_timeout", + [ + ({"database_connection_timeout": 30}, 30), + ({"database_connection_pool_timeout": 45}, 45), + ( + { + "database_connection_timeout": 30, + "database_connection_pool_timeout": 45, + }, + 30, + ), + ], + ) + @patch("subprocess.run") + @patch("atexit.register") + @patch("litellm.proxy.db.prisma_client.PrismaManager.setup_database") + @patch( + "litellm.proxy.db.prisma_client.should_update_prisma_schema", return_value=False + ) + def test_db_timeout_settings_are_forwarded_to_pool_timeout( + self, + mock_should_update, + mock_setup_db, + mock_atexit_register, + mock_subprocess_run, + timeout_config, + expected_timeout, + ): + from click.testing import CliRunner + + from litellm.proxy.proxy_cli import run_server + + runner = CliRunner() + mock_subprocess_run.return_value = MagicMock(returncode=0) + + mock_proxy_module = MagicMock( + app=MagicMock(), + ProxyConfig=MagicMock(), + KeyManagementSettings=MagicMock(), + save_worker_config=MagicMock(), + ) + mock_proxy_module.ProxyConfig.return_value.get_config = AsyncMock( + return_value={ + "general_settings": { + "database_url": "postgresql://test:test@localhost:5432/test", + "database_connection_pool_limit": 5, + **timeout_config, + } + } + ) + + clean_env = { + k: v + for k, v in os.environ.items() + if k not in ("DATABASE_URL", "DIRECT_URL") + } + + with ( + patch.dict(os.environ, clean_env, clear=True), + patch.dict( + "sys.modules", + { + "proxy_server": mock_proxy_module, + "litellm.proxy.proxy_server": mock_proxy_module, + }, + ), + patch( + "litellm.proxy.proxy_cli.ProxyInitializationHelpers._get_default_unvicorn_init_args" + ) as mock_get_args, + patch( + "litellm.proxy.proxy_cli.append_query_params", + side_effect=lambda url, params: ( + f"{url}?connection_limit={params['connection_limit']}&pool_timeout={params['pool_timeout']}" + ), + ) as mock_append_query_params, + ): + mock_get_args.return_value = { + "app": "litellm.proxy.proxy_server:app", + "host": "localhost", + "port": 8000, + } + + result = runner.invoke( + run_server, + ["--local", "--config", "test-config.yaml", "--skip_server_startup"], + ) + + assert ( + result.exit_code == 0 + ), f"exit_code={result.exit_code}, output={result.output}" + mock_append_query_params.assert_called() + appended_params = mock_append_query_params.call_args.args[1] + assert appended_params["connection_limit"] == 5 + assert appended_params["pool_timeout"] == expected_timeout + @patch("uvicorn.run") @patch("atexit.register") @patch("litellm.proxy.db.prisma_client.PrismaManager.setup_database") diff --git a/tests/test_litellm/proxy/test_proxy_server.py b/tests/test_litellm/proxy/test_proxy_server.py index 859594f7a0b..34b133c5832 100644 --- a/tests/test_litellm/proxy/test_proxy_server.py +++ b/tests/test_litellm/proxy/test_proxy_server.py @@ -6378,6 +6378,84 @@ class TestLazyFeatureMiddleware: ) assert loads == ["json"] + @pytest.mark.asyncio + @pytest.mark.parametrize( + "server_root_path,request_path,should_load,case", + [ + # SERVER_ROOT_PATH set: incoming path includes prefix → strip and match. + ("/api/v1", "/api/v1/dummy/x", True, "root_path strip + match"), + # Trailing-slash env var must be normalized. + ("/api/v1/", "/api/v1/dummy/x", True, "trailing-slash env normalization"), + # Reverse proxy already stripped the prefix → original path still matches. + ("/api/v1", "/dummy/x", True, "pre-stripped path still loads"), + # No SERVER_ROOT_PATH set → unchanged behavior. + ("", "/dummy/x", True, "no root path"), + # SERVER_ROOT_PATH=/ must be a no-op (not strip every leading slash). + ("/", "/dummy/x", True, "root_path='/' is no-op"), + # Boundary check: /apiv2 must not match root /api. + ("/api", "/apiv2/foo", False, "boundary check prevents false match"), + # Genuine non-match under root_path. + ("/api/v1", "/api/v1/unrelated", False, "unrelated path under root"), + ], + ) + async def test_root_path_handling( + self, monkeypatch, server_root_path, request_path, should_load, case + ): + """ + The middleware must strip SERVER_ROOT_PATH before prefix-matching so + lazy features load under deployments that set a server root path, + while handling boundary, trailing-slash, and reverse-proxy edge cases + correctly. + """ + from fastapi import FastAPI + + from litellm.proxy._lazy_features import ( + LazyFeature, + LazyFeatureMiddleware, + ) + + monkeypatch.setenv("SERVER_ROOT_PATH", server_root_path) + + loads = [] + + def fake_register(app, module): + loads.append(getattr(module, "__name__", "?")) + + feat = LazyFeature( + name=f"dummy_{case}", + module_path="json", + path_prefixes=("/dummy",), + register_fn=fake_register, + ) + + async def downstream(scope, receive, send): + await send({"type": "http.response.start", "status": 200, "headers": []}) + await send({"type": "http.response.body", "body": b""}) + + target_app = FastAPI() + mw = LazyFeatureMiddleware(downstream, fastapi_app=target_app, features=(feat,)) + + async def receive(): + return {"type": "http.request", "body": b"", "more_body": False} + + async def send(message): + pass + + await mw( + { + "type": "http", + "path": request_path, + "method": "GET", + "headers": [], + }, + receive, + send, + ) + if should_load: + assert loads == ["json"], f"{case}: expected feature to load" + else: + assert loads == [], f"{case}: feature must not load" + @pytest.mark.asyncio async def test_concurrent_first_requests_only_register_once(self): """ diff --git a/tests/test_litellm/proxy/test_shared_health_check.py b/tests/test_litellm/proxy/test_shared_health_check.py index 04099f2634b..1530d336085 100644 --- a/tests/test_litellm/proxy/test_shared_health_check.py +++ b/tests/test_litellm/proxy/test_shared_health_check.py @@ -322,13 +322,13 @@ class TestSharedHealthCheckManager: async def test_perform_shared_health_check_lock_failed_then_cache( self, shared_health_manager, mock_redis_cache ): - """Test performing shared health check when lock fails but cache becomes available""" + """Test performing shared health check when lock fails but cache becomes available during polling""" # First call: no cache, lock fails - # Second call: cache available + # Polling finds cache on first iteration mock_redis_cache.async_get_cache.side_effect = [ - None, # No cache initially + None, # No cache initially (get_cached_health_check_results) json.dumps( - { # Cache available after waiting + { # Cache available on first poll iteration "healthy_endpoints": [{"model": "cached-model"}], "unhealthy_endpoints": [], "healthy_count": 1, @@ -350,18 +350,68 @@ class TestSharedHealthCheckManager: ) ) - # Should wait and then get cached results - mock_sleep.assert_called_once_with(2) + # Should poll once (5s interval) and find cached results + mock_sleep.assert_called_once_with(5) assert healthy == [{"model": "cached-model"}] assert unhealthy == [] @pytest.mark.asyncio - async def test_perform_shared_health_check_fallback( + async def test_perform_shared_health_check_fallback(self, mock_redis_cache): + """Test performing shared health check with fallback to local health check""" + # Use short lock_ttl so the polling loop only runs 2 iterations + manager = SharedHealthCheckManager( + redis_cache=mock_redis_cache, + health_check_ttl=300, + lock_ttl=10, + ) + + # No cache ever, lock always held by another pod + mock_redis_cache.async_get_cache.side_effect = [ + None, # Initial cache check + None, # Iteration 1: cache check + "other_pod", # Iteration 1: lock check (still held) + None, # Iteration 2: cache check + "other_pod", # Iteration 2: lock check (still held) + ] + mock_redis_cache.async_set_cache.return_value = False # Lock acquisition fails + + model_list = [ + {"model_name": "test-model", "litellm_params": {"model": "test-model"}} + ] + expected_healthy = [{"model": "test-model", "status": "healthy"}] + expected_unhealthy = [] + + with ( + patch("asyncio.sleep") as mock_sleep, + patch( + "litellm.proxy.health_check_utils.shared_health_check_manager.perform_health_check" + ) as mock_perform, + ): + mock_perform.return_value = (expected_healthy, expected_unhealthy, {}) + + healthy, unhealthy, _ = await manager.perform_shared_health_check( + model_list, details=True + ) + + # Should poll twice (5s * 2 = 10s >= lock_ttl) then fall back + assert mock_sleep.call_count == 2 + mock_sleep.assert_called_with(5) + mock_perform.assert_called_once_with( + model_list=model_list, details=True, max_concurrency=None + ) + assert healthy == expected_healthy + assert unhealthy == expected_unhealthy + + @pytest.mark.asyncio + async def test_perform_shared_health_check_early_exit_orphaned_lock( self, shared_health_manager, mock_redis_cache ): - """Test performing shared health check with fallback to local health check""" - # No cache, lock fails, no cache after waiting - mock_redis_cache.async_get_cache.return_value = None + """Test that polling exits early when the lock disappears without a cache write (crash recovery)""" + mock_redis_cache.async_get_cache.side_effect = [ + None, # Initial cache check + None, # Iteration 1: cache check (still no cache) + None, # Iteration 1: lock check -> lock gone (holder crashed) + ] mock_redis_cache.async_set_cache.return_value = False # Lock acquisition fails model_list = [ @@ -384,8 +434,77 @@ class TestSharedHealthCheckManager: ) ) - # Should fall back to local health check - mock_sleep.assert_called_once_with(2) + # Should detect orphaned lock after 1 iteration and fall back immediately + mock_sleep.assert_called_once_with(5) + mock_perform.assert_called_once_with( + model_list=model_list, details=True, max_concurrency=None + ) + assert healthy == expected_healthy + assert unhealthy == expected_unhealthy + + @pytest.mark.asyncio + async def test_perform_shared_health_check_redis_error_during_polling( + self, shared_health_manager, mock_redis_cache + ): + """Test that a transient Redis error during lock polling doesn't crash the loop""" + cached_data = json.dumps( + { + "healthy_endpoints": [{"model": "cached-model"}], + "unhealthy_endpoints": [], + "healthy_count": 1, + "unhealthy_count": 0, + "timestamp": time.time() - 100, + } + ) + mock_redis_cache.async_get_cache.side_effect = [ + None, # Initial cache check + None, # Iteration 1: cache check + Exception("Redis connection lost"), # Iteration 1: lock check errors + cached_data, # Iteration 2: cache check -> found! + ] + mock_redis_cache.async_set_cache.return_value = False # Lock acquisition fails + + model_list = [ + {"model_name": "test-model", "litellm_params": {"model": "test-model"}} + ] + + with patch("asyncio.sleep") as mock_sleep: + healthy, unhealthy, _ = ( + await shared_health_manager.perform_shared_health_check( + model_list, details=True + ) + ) + + # Should survive the Redis error and find cache on iteration 2 + assert mock_sleep.call_count == 2 + assert healthy == [{"model": "cached-model"}] + assert unhealthy == [] + + @pytest.mark.asyncio + async def test_perform_shared_health_check_no_redis_skips_polling(self): + """Test that polling is skipped entirely when redis_cache is None""" + manager = SharedHealthCheckManager(redis_cache=None) + + model_list = [ + {"model_name": "test-model", "litellm_params": {"model": "test-model"}} + ] + expected_healthy = [{"model": "test-model", "status": "healthy"}] + expected_unhealthy = [] + + with ( + patch("asyncio.sleep") as mock_sleep, + patch( + "litellm.proxy.health_check_utils.shared_health_check_manager.perform_health_check" + ) as mock_perform, + ): + mock_perform.return_value = (expected_healthy, expected_unhealthy, {}) + + healthy, unhealthy, _ = await manager.perform_shared_health_check( + model_list, details=True + ) + + # Should NOT sleep at all — falls back to local health check immediately + mock_sleep.assert_not_called() mock_perform.assert_called_once_with( model_list=model_list, details=True, max_concurrency=None ) 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 cbc4a920245..1f6848d3b5b 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 @@ -791,3 +791,384 @@ def test_encrypted_content_wrapping_empty_string(): assert extracted_model_id == model_id assert unwrapped == original_content + + +# --------------------------------------------------------------------------- +# LIT-2531: cross-model-group fallback via encryption boundary (api_base + api_key) +# --------------------------------------------------------------------------- + + +@pytest.mark.asyncio +async def test_affinity_falls_back_to_same_encryption_boundary_on_model_group_switch(): + """ + LIT-2531: Client starts a session on gpt-5.3-codex, follow-up switches to + gpt-5.4 mid-chat (e.g. via Codex `model_migrations`). Affinity must pin to + the gpt-5.4 deployment on the SAME Azure resource as the originating + gpt-5.3-codex deployment -- otherwise Azure rejects the encrypted_content. + """ + first_resp = _build_mock_response( + output_items=[ + { + "type": "reasoning", + "id": "rs_encrypted_xyz", + "status": "completed", + "encrypted_content": "gAAAAABpnW_yEYmSNEyOG...", + }, + ], + response_id="resp_first", + ) + second_resp = _build_mock_response( + output_items=[ + { + "type": "message", + "id": "msg_ok", + "status": "completed", + "role": "assistant", + "content": [{"type": "output_text", "text": "answer"}], + }, + ], + response_id="resp_second", + ) + + ACCOUNT_A_BASE = "https://account-a.openai.azure.com/" + ACCOUNT_A_KEY = "key-a" + ACCOUNT_B_BASE = "https://account-b.openai.azure.com/" + ACCOUNT_B_KEY = "key-b" + + router = litellm.Router( + model_list=[ + { + "model_name": "gpt-5.3-codex", + "litellm_params": { + "model": "azure/gpt-5.3-codex", + "api_base": ACCOUNT_A_BASE, + "api_key": ACCOUNT_A_KEY, + "api_version": "2025-04-01-preview", + }, + "model_info": {"id": "gpt-5.3-codex-account-a"}, + }, + { + "model_name": "gpt-5.3-codex", + "litellm_params": { + "model": "azure/gpt-5.3-codex", + "api_base": ACCOUNT_B_BASE, + "api_key": ACCOUNT_B_KEY, + "api_version": "2025-04-01-preview", + }, + "model_info": {"id": "gpt-5.3-codex-account-b"}, + }, + { + "model_name": "gpt-5.4", + "litellm_params": { + "model": "azure/gpt-5.4", + "api_base": ACCOUNT_A_BASE, + "api_key": ACCOUNT_A_KEY, + "api_version": "2025-04-01-preview", + }, + "model_info": {"id": "gpt-5.4-account-a"}, + }, + { + "model_name": "gpt-5.4", + "litellm_params": { + "model": "azure/gpt-5.4", + "api_base": ACCOUNT_B_BASE, + "api_key": ACCOUNT_B_KEY, + "api_version": "2025-04-01-preview", + }, + "model_info": {"id": "gpt-5.4-account-b"}, + }, + ], + optional_pre_call_checks=["encrypted_content_affinity"], + num_retries=0, + ) + + def first_call_picks_account_a(seq): + for d in seq: + if d["model_info"]["id"] == "gpt-5.3-codex-account-a": + return d + return seq[0] + + with ( + patch( + "litellm.llms.custom_httpx.llm_http_handler.BaseLLMHTTPHandler.async_response_api_handler", + new_callable=AsyncMock, + return_value=first_resp, + ), + patch( + "litellm.router_strategy.simple_shuffle.random.choice", + side_effect=first_call_picks_account_a, + ), + ): + r1 = await router.aresponses(model="gpt-5.3-codex", input="hi") + + assert r1._hidden_params["model_id"] == "gpt-5.3-codex-account-a" + encoded_id = _extract_encoded_item_id(r1) + assert encoded_id.startswith("encitem_") + + # simple_shuffle.random.choice NOT patched: prove affinity narrows the + # candidate pool to a single deployment regardless of which one shuffle picks. + with patch( + "litellm.llms.custom_httpx.llm_http_handler.BaseLLMHTTPHandler.async_response_api_handler", + new_callable=AsyncMock, + return_value=second_resp, + ): + r2 = await router.aresponses( + model="gpt-5.4", + input=[ + { + "type": "reasoning", + "id": encoded_id, + "encrypted_content": "gAAAAABpnW_yEYmSNEyOG...", + }, + ], + ) + + assert r2._hidden_params["model_id"] == "gpt-5.4-account-a" + + +@pytest.mark.asyncio +async def test_affinity_falls_back_to_same_boundary_on_alias_switch(): + """ + LIT-2531 alias path: gpt-5.2-codex is a LiteLLM alias that points at the + same underlying Azure model as gpt-5.3-codex. Different model_name groups + in the router, so model_id-based pinning misses, but the encryption + boundary (api_base + api_key) is identical -> follow-up must still pin. + """ + first_resp = _build_mock_response( + output_items=[ + { + "type": "reasoning", + "id": "rs_alias_xyz", + "status": "completed", + "encrypted_content": "gAAAAABpnW_yEYmSNEyOG...", + }, + ], + response_id="resp_alias_first", + ) + second_resp = _build_mock_response( + output_items=[ + { + "type": "message", + "id": "msg_alias_ok", + "status": "completed", + "role": "assistant", + "content": [{"type": "output_text", "text": "ok"}], + }, + ], + response_id="resp_alias_second", + ) + + ACCOUNT_A_BASE = "https://account-a.openai.azure.com/" + ACCOUNT_A_KEY = "key-a" + ACCOUNT_B_BASE = "https://account-b.openai.azure.com/" + ACCOUNT_B_KEY = "key-b" + + router = litellm.Router( + model_list=[ + { + "model_name": "gpt-5.3-codex", + "litellm_params": { + "model": "azure/gpt-5.3-codex", + "api_base": ACCOUNT_A_BASE, + "api_key": ACCOUNT_A_KEY, + "api_version": "2025-04-01-preview", + }, + "model_info": {"id": "gpt-5.3-codex-account-a"}, + }, + { + "model_name": "gpt-5.3-codex", + "litellm_params": { + "model": "azure/gpt-5.3-codex", + "api_base": ACCOUNT_B_BASE, + "api_key": ACCOUNT_B_KEY, + "api_version": "2025-04-01-preview", + }, + "model_info": {"id": "gpt-5.3-codex-account-b"}, + }, + { + "model_name": "gpt-5.2-codex", + "litellm_params": { + "model": "azure/gpt-5.3-codex", + "api_base": ACCOUNT_A_BASE, + "api_key": ACCOUNT_A_KEY, + "api_version": "2025-04-01-preview", + }, + "model_info": {"id": "gpt-5.2-codex-account-a"}, + }, + { + "model_name": "gpt-5.2-codex", + "litellm_params": { + "model": "azure/gpt-5.3-codex", + "api_base": ACCOUNT_B_BASE, + "api_key": ACCOUNT_B_KEY, + "api_version": "2025-04-01-preview", + }, + "model_info": {"id": "gpt-5.2-codex-account-b"}, + }, + ], + optional_pre_call_checks=["encrypted_content_affinity"], + num_retries=0, + ) + + def pick_account_a(seq): + for d in seq: + if d["model_info"]["id"] == "gpt-5.3-codex-account-a": + return d + return seq[0] + + with ( + patch( + "litellm.llms.custom_httpx.llm_http_handler.BaseLLMHTTPHandler.async_response_api_handler", + new_callable=AsyncMock, + return_value=first_resp, + ), + patch( + "litellm.router_strategy.simple_shuffle.random.choice", + side_effect=pick_account_a, + ), + ): + r1 = await router.aresponses(model="gpt-5.3-codex", input="hi") + + encoded_id = _extract_encoded_item_id(r1) + assert encoded_id.startswith("encitem_") + + with patch( + "litellm.llms.custom_httpx.llm_http_handler.BaseLLMHTTPHandler.async_response_api_handler", + new_callable=AsyncMock, + return_value=second_resp, + ): + r2 = await router.aresponses( + model="gpt-5.2-codex", + input=[ + { + "type": "reasoning", + "id": encoded_id, + "encrypted_content": "gAAAAABpnW_yEYmSNEyOG...", + }, + ], + ) + + assert r2._hidden_params["model_id"] == "gpt-5.2-codex-account-a" + + +def test_boundary_fallback_no_router_ref_returns_empty(): + """ + Standalone use (no router wired in) -> the boundary lookup short-circuits + to ``[]`` instead of crashing on ``None.get_deployment``. + """ + from litellm.router_utils.pre_call_checks.encrypted_content_affinity_check import ( + EncryptedContentAffinityCheck, + ) + + check = EncryptedContentAffinityCheck(router=None) + healthy = [ + { + "model_info": {"id": "dep-1"}, + "litellm_params": {"api_base": "https://x", "api_key": "k"}, + } + ] + matches = check._find_deployments_on_same_encryption_boundary( + healthy_deployments=healthy, + model_id="dep-2", + ) + assert matches == [] + + +def test_boundary_fallback_originating_deployment_removed_returns_empty(): + """ + If the originating deployment has been removed from the router (e.g. via + /model/delete), ``router.get_deployment`` returns None and we return [] so + the caller falls back to the full healthy_deployments list. + """ + from unittest.mock import MagicMock + + from litellm.router_utils.pre_call_checks.encrypted_content_affinity_check import ( + EncryptedContentAffinityCheck, + ) + + mock_router = MagicMock() + mock_router.get_deployment.return_value = None + + check = EncryptedContentAffinityCheck(router=mock_router) + healthy = [ + { + "model_info": {"id": "dep-1"}, + "litellm_params": {"api_base": "https://x", "api_key": "k"}, + } + ] + matches = check._find_deployments_on_same_encryption_boundary( + healthy_deployments=healthy, + model_id="dep-removed", + ) + assert matches == [] + mock_router.get_deployment.assert_called_once_with(model_id="dep-removed") + + +def test_boundary_key_accepts_pydantic_litellm_params_instance(): + """ + Regression: ``_encryption_boundary_key`` must accept any object exposing + dict-style ``.get()`` (incl. ``LiteLLM_Params`` Pydantic instances) — not + just plain dicts. + + A stricter ``isinstance(dict)`` guard would silently return ``None`` for a + ``LiteLLM_Params`` value, drop the deployment from boundary matching, and + fall back to the full pool — which is the exact ``invalid_encrypted_content`` + failure this check exists to prevent. + """ + from litellm.router_utils.pre_call_checks.encrypted_content_affinity_check import ( + EncryptedContentAffinityCheck, + ) + from litellm.types.router import LiteLLM_Params + + pydantic_params = LiteLLM_Params( + model="azure/gpt-5.3-codex", + api_base="https://mateo-resource.openai.azure.com", + api_key="fake-azure-resource-key-a", + ) + plain_params = { + "model": "azure/gpt-5.3-codex", + "api_base": "https://mateo-resource.openai.azure.com", + "api_key": "fake-azure-resource-key-a", + } + + pydantic_key = EncryptedContentAffinityCheck._encryption_boundary_key( + pydantic_params + ) + plain_key = EncryptedContentAffinityCheck._encryption_boundary_key(plain_params) + + assert pydantic_key is not None + assert ( + pydantic_key + == plain_key + == ( + "https://mateo-resource.openai.azure.com", + "fake-azure-resource-key-a", + ) + ) + + +def test_boundary_key_rejects_non_dict_like_inputs(): + """ + Inputs that don't expose ``.get()`` (None, lists, strings, ints) -> None. + Guards against accidentally treating a stray non-dict-like value as a + valid boundary. + """ + from litellm.router_utils.pre_call_checks.encrypted_content_affinity_check import ( + EncryptedContentAffinityCheck, + ) + + 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 + ) diff --git a/tests/test_litellm/test_main.py b/tests/test_litellm/test_main.py index 4358d0dc193..b03579c2dbd 100644 --- a/tests/test_litellm/test_main.py +++ b/tests/test_litellm/test_main.py @@ -757,6 +757,60 @@ def test_responses_api_bridge_check_gpt_5_4_tools_without_reasoning_stays_chat() assert model_info.get("mode") != "responses" +def test_responses_api_bridge_check_gpt_5_4_reasoning_summary_without_tools_routes_to_responses(): + """gpt-5.4+ with reasoning_effort + reasoningSummary but no tools should bridge (AI SDK).""" + from litellm.main import responses_api_bridge_check + + with patch("litellm.main._get_model_info_helper") as mock_get_model_info: + mock_get_model_info.return_value = {"max_tokens": 128000} + model_info, model = responses_api_bridge_check( + model="gpt-5.4", + custom_llm_provider="openai", + tools=None, + reasoning_effort="medium", + reasoning_summary="auto", + ) + + assert model == "gpt-5.4" + assert model_info.get("mode") == "responses" + + +def test_responses_api_bridge_check_gpt_5_reasoning_summary_routes_to_responses(): + """Bare ``gpt-5`` with reasoning_effort + reasoningSummary should bridge (not 5.4+).""" + from litellm.main import responses_api_bridge_check + + with patch("litellm.main._get_model_info_helper") as mock_get_model_info: + mock_get_model_info.return_value = {"max_tokens": 128000} + model_info, model = responses_api_bridge_check( + model="gpt-5", + custom_llm_provider="openai", + tools=None, + reasoning_effort="medium", + reasoning_summary="auto", + ) + + assert model == "gpt-5" + assert model_info.get("mode") == "responses" + + +def test_responses_api_bridge_check_gpt_5_tools_without_summary_stays_chat(): + """gpt-5 with tools + reasoning_effort but no summary should stay on chat.""" + from litellm.main import responses_api_bridge_check + + with patch("litellm.main._get_model_info_helper") as mock_get_model_info: + mock_get_model_info.return_value = {"max_tokens": 128000} + model_info, model = responses_api_bridge_check( + model="gpt-5", + custom_llm_provider="openai", + tools=[{"type": "function", "function": {"name": "get_capital"}}], + reasoning_effort="medium", + reasoning_summary=None, + ) + + assert model == "gpt-5" + assert model_info.get("mode") != "responses" + + @patch("litellm.completion_extras.responses_api_bridge.completion") def test_gpt_5_4_responses_bridge_preserves_reasoning_summary_dict( mock_responses_completion, @@ -794,6 +848,132 @@ def test_gpt_5_4_responses_bridge_preserves_reasoning_summary_dict( } +@pytest.mark.parametrize( + "model, model_info, expected_model_param", + [ + ("gemini/gemini-3.1-pro", None, "gemini-3.1-pro"), + ( + "gemini/gemini-3.1-pro", + {"base_model": "gemini-3.1-pro-preview"}, + "gemini-3.1-pro-preview", + ), + ], +) +def test_completion_optional_params_base_model( + model: str, + model_info: dict | None, + expected_model_param: str, +): + with patch("litellm.main.get_optional_params") as mock_get_optional_params: + mock_get_optional_params.return_value = MagicMock() + + import litellm + + kwargs = { + "model": model, + "messages": [{"role": "user", "content": "What is the capital of France?"}], + "api_key": "fake-key", + "mock_response": "Hey, how's it going?", + } + if model_info is not None: + kwargs["model_info"] = model_info + + litellm.completion(**kwargs) + + assert mock_get_optional_params.called is True + get_optional_params_model_param = mock_get_optional_params.call_args.kwargs[ + "model" + ] + assert get_optional_params_model_param == expected_model_param + + +@patch("litellm.completion_extras.responses_api_bridge.completion") +def test_gpt_5_4_responses_bridge_merges_reasoning_summary_kwarg_without_tools( + mock_responses_completion, +): + """reasoningSummary without tools should route and merge into reasoning_effort dict.""" + mock_responses_completion.return_value = MagicMock() + + import litellm + + litellm.completion( + model="gpt-5.4", + messages=[{"role": "user", "content": "ok"}], + reasoning_effort="medium", + reasoningSummary="auto", + api_key="fake-key", + ) + + assert mock_responses_completion.called is True + optional_params = mock_responses_completion.call_args.kwargs["optional_params"] + assert optional_params["reasoning_effort"] == { + "effort": "medium", + "summary": "auto", + } + assert "reasoningSummary" not in optional_params + assert "reasoning_summary" not in optional_params + + +@patch("litellm.completion_extras.responses_api_bridge.completion") +def test_responses_bridge_preserves_reasoning_summary_without_effort( + mock_responses_completion, +): + """Reasoning summary should survive responses routing even without effort.""" + mock_responses_completion.return_value = MagicMock() + + import litellm + + with patch.object(litellm, "route_all_chat_openai_to_responses", True): + litellm.completion( + model="gpt-4o", + messages=[{"role": "user", "content": "ok"}], + reasoningSummary="auto", + api_key="fake-key", + ) + + assert mock_responses_completion.called is True + optional_params = mock_responses_completion.call_args.kwargs["optional_params"] + assert optional_params["reasoning_effort"] == {"summary": "auto"} + assert "reasoningSummary" not in optional_params + assert "reasoning_summary" not in optional_params + + +@patch("litellm.completion_extras.responses_api_bridge.completion") +def test_gpt_5_responses_bridge_tools_and_reasoning_summary( + mock_responses_completion, +): + """Bare gpt-5 with tools + reasoningSummary should bridge (OpenCode-style).""" + mock_responses_completion.return_value = MagicMock() + + import litellm + + litellm.completion( + model="gpt-5", + messages=[{"role": "user", "content": "ok"}], + tools=[ + { + "type": "function", + "function": { + "name": "apply_patch", + "parameters": {"type": "object", "properties": {}}, + }, + } + ], + tool_choice="auto", + reasoning_effort="medium", + reasoningSummary="auto", + stream=True, + api_key="fake-key", + ) + + assert mock_responses_completion.called is True + optional_params = mock_responses_completion.call_args.kwargs["optional_params"] + assert optional_params.get("reasoning_effort") == { + "effort": "medium", + "summary": "auto", + } + + def test_responses_api_bridge_check_handles_exception(): """Test that responses_api_bridge_check handles exceptions and still processes responses/ models.""" from litellm.main import responses_api_bridge_check diff --git a/tests/test_litellm/test_main_module_header.py b/tests/test_litellm/test_main_module_header.py new file mode 100644 index 00000000000..a16e14e8c32 --- /dev/null +++ b/tests/test_litellm/test_main_module_header.py @@ -0,0 +1,13 @@ +from pathlib import Path + + +def test_main_py_starts_with_brief_file_description(): + repo_root = Path(__file__).resolve().parents[2] + main_py = repo_root / "litellm" / "main.py" + + first_two_lines = main_py.read_text(encoding="utf-8").splitlines()[:2] + + assert any( + "LiteLLM main module" in line and "entrypoints" in line + for line in first_two_lines + ) diff --git a/tests/test_litellm/test_retrieve_batch_bedrock_dispatch.py b/tests/test_litellm/test_retrieve_batch_bedrock_dispatch.py new file mode 100644 index 00000000000..9df18a9f0f0 --- /dev/null +++ b/tests/test_litellm/test_retrieve_batch_bedrock_dispatch.py @@ -0,0 +1,162 @@ +"""Cover the Bedrock-ARN dispatch in ``litellm.batches.main.retrieve_batch``. + +The dispatch picks one of two Bedrock handlers depending on the ARN +family in ``batch_id``: + +* ``:async-invoke/`` -> ``_handle_async_invoke_status`` (data plane) +* ``:model-invocation-job/`` -> ``_handle_model_invocation_job_status`` + (control plane, added in this PR) + +Anything else falls through to the generic ``provider_config`` retrieve +flow. We mock the two handlers so the tests don't hit AWS — the focus +here is purely the dispatch logic that lives in ``main.py``. +""" + +from __future__ import annotations + +import os +import sys +from unittest.mock import MagicMock, patch + +import pytest + +sys.path.insert(0, os.path.abspath("../..")) + +import litellm # noqa: E402 + +ASYNC_INVOKE_ARN = "arn:aws:bedrock:us-west-2:123456789012:async-invoke/abc123def456" +MIJ_ARN = "arn:aws:bedrock:us-west-2:123456789012:model-invocation-job/abc1234567" + + +@pytest.fixture +def mock_handlers(): + """Patch both Bedrock retrieve handlers and yield the mocks. + + We patch at the import site (litellm.batches.main) rather than the + definition site so the ``BedrockBatchesHandler`` reference inside + ``retrieve_batch`` resolves to our mocks. + """ + fake_batch = MagicMock(name="LiteLLMBatch") + with ( + patch( + "litellm.batches.main.BedrockBatchesHandler._handle_async_invoke_status", + return_value=fake_batch, + ) as async_invoke, + patch( + "litellm.batches.main.BedrockBatchesHandler._handle_model_invocation_job_status", + return_value=fake_batch, + ) as mij, + ): + yield async_invoke, mij, fake_batch + + +def test_async_invoke_arn_routes_to_async_invoke_handler(mock_handlers): + """``:async-invoke/`` ARNs go to the data-plane handler.""" + async_invoke, mij, fake_batch = mock_handlers + + result = litellm.retrieve_batch( + batch_id=ASYNC_INVOKE_ARN, + custom_llm_provider="bedrock", + aws_region_name="us-west-2", + ) + + assert result is fake_batch + async_invoke.assert_called_once() + mij.assert_not_called() + call_kwargs = async_invoke.call_args.kwargs + assert call_kwargs["batch_id"] == ASYNC_INVOKE_ARN + assert call_kwargs["aws_region_name"] == "us-west-2" + # Region must be stripped from the forwarded kwargs to avoid TypeError + # (it's already an explicit positional/keyword arg). + assert "aws_region_name" not in { + k + for k in call_kwargs + if k not in {"batch_id", "aws_region_name", "logging_obj"} + } + + +def test_async_invoke_arn_falls_back_to_default_region_when_unset(mock_handlers): + """If no ``aws_region_name`` is passed, the data-plane handler defaults + to ``us-east-1`` (preserving prior behavior on this branch).""" + async_invoke, _mij, _ = mock_handlers + + litellm.retrieve_batch( + batch_id=ASYNC_INVOKE_ARN, + custom_llm_provider="bedrock", + ) + + async_invoke.assert_called_once() + assert async_invoke.call_args.kwargs["aws_region_name"] == "us-east-1" + + +def test_model_invocation_job_arn_routes_to_mij_handler(mock_handlers): + """``:model-invocation-job/`` ARNs go to the new control-plane handler.""" + _async_invoke, mij, fake_batch = mock_handlers + + result = litellm.retrieve_batch( + batch_id=MIJ_ARN, + custom_llm_provider="bedrock", + aws_region_name="us-west-2", + ) + + assert result is fake_batch + mij.assert_called_once() + _async_invoke.assert_not_called() + call_kwargs = mij.call_args.kwargs + assert call_kwargs["batch_id"] == MIJ_ARN + assert call_kwargs["aws_region_name"] == "us-west-2" + + +def test_model_invocation_job_arn_with_no_region_passes_none(mock_handlers): + """The MIJ handler is responsible for sniffing region from the ARN + when none is explicitly provided. Dispatch must forward ``None`` + rather than substituting a default — otherwise per-region jobs in + other AWS regions would silently route to ``us-east-1``.""" + _async_invoke, mij, _ = mock_handlers + + litellm.retrieve_batch( + batch_id=MIJ_ARN, + custom_llm_provider="bedrock", + ) + + mij.assert_called_once() + assert mij.call_args.kwargs["aws_region_name"] is None + + +def test_unrelated_bedrock_arn_falls_through_to_provider_config(mock_handlers): + """Bedrock ARNs that aren't async-invoke or model-invocation-job + must NOT hit either special handler — they should fall through to + the existing generic provider_config path. We don't fully exercise + that path here (it requires a real provider config); we just assert + neither special handler is invoked.""" + async_invoke, mij, _ = mock_handlers + + # Use a plausible-but-unsupported Bedrock ARN family. + unrelated_arn = "arn:aws:bedrock:us-west-2:123456789012:provisioned-model/xyz" + + with pytest.raises(Exception): + # Will raise because no provider_config exists for this path — + # that's fine, we just need to assert neither bedrock handler ran + # before the failure. + litellm.retrieve_batch( + batch_id=unrelated_arn, + custom_llm_provider="bedrock", + ) + + async_invoke.assert_not_called() + mij.assert_not_called() + + +def test_non_bedrock_id_skips_bedrock_dispatch_entirely(mock_handlers): + """Plain (non-ARN) batch ids must not even enter the Bedrock dispatch + block — they belong to other providers' retrieve flows.""" + async_invoke, mij, _ = mock_handlers + + with pytest.raises(Exception): + litellm.retrieve_batch( + batch_id="batch_abc123", + custom_llm_provider="openai", + ) + + async_invoke.assert_not_called() + mij.assert_not_called() diff --git a/tests/test_litellm/test_router_model_cost_isolation.py b/tests/test_litellm/test_router_model_cost_isolation.py index 7a9d5acaa27..c3f93078557 100644 --- a/tests/test_litellm/test_router_model_cost_isolation.py +++ b/tests/test_litellm/test_router_model_cost_isolation.py @@ -18,6 +18,7 @@ sys.path.insert( import litellm from litellm import Router +from litellm.types.router import Deployment, LiteLLM_Params, ModelInfo def test_should_not_pollute_shared_key_with_zero_cost_pricing(): @@ -266,3 +267,59 @@ def test_should_preserve_builtin_pricing_regardless_of_deployment_order(): f"Order should not matter. Expected {builtin_output_cost}, " f"got {info_std_2['output_cost_per_token']}" ) + + +def test_responses_prefix_stripped_alias_registered_for_model_list(): + """ + Register ``litellm.model_cost`` under the backend key with ``responses/`` and + under the stripped key (``responses_api_bridge_check`` removes that segment). + """ + uid = "responses-strip-alias-test-a1b2c3d4" + Router( + model_list=[ + { + "model_name": "azure-responses-strip-test", + "litellm_params": { + "model": "responses/gpt-strip-test-a1b2c3d4", + "custom_llm_provider": "azure", + "api_key": "fake-key-strip", + }, + "model_info": { + "id": uid, + "supports_native_streaming": True, + }, + } + ], + ) + assert "azure/responses/gpt-strip-test-a1b2c3d4" in litellm.model_cost + assert "azure/gpt-strip-test-a1b2c3d4" in litellm.model_cost + assert ( + litellm.model_cost["azure/gpt-strip-test-a1b2c3d4"].get( + "supports_native_streaming" + ) + is True + ) + + +def test_responses_prefix_stripped_alias_registered_for_add_deployment(): + """Dynamic ``add_deployment`` must mirror ``_create_deployment`` registration.""" + uid = "add-dep-responses-strip-e5f6a7b8" + router = Router(model_list=[]) + deployment = Deployment( + model_name="dyn-responses-strip", + litellm_params=LiteLLM_Params( + model="responses/gpt-add-strip-e5f6a7b8", + custom_llm_provider="azure", + api_key="fake-key-add", + ), + model_info=ModelInfo(id=uid, supports_native_streaming=True), + ) + router.add_deployment(deployment=deployment) + assert "azure/responses/gpt-add-strip-e5f6a7b8" in litellm.model_cost + assert "azure/gpt-add-strip-e5f6a7b8" in litellm.model_cost + assert ( + litellm.model_cost["azure/gpt-add-strip-e5f6a7b8"].get( + "supports_native_streaming" + ) + is True + ) diff --git a/tests/test_litellm/test_utils.py b/tests/test_litellm/test_utils.py index 65305e1a81e..d07af922ea6 100644 --- a/tests/test_litellm/test_utils.py +++ b/tests/test_litellm/test_utils.py @@ -2817,6 +2817,128 @@ def test_generate_gcp_iam_access_token_import_error(): assert "pip install google-cloud-iam" in str(exc_info.value) +def test_generate_azure_ad_redis_token(): + """Test _generate_azure_ad_redis_token with mocked Azure credential.""" + from unittest.mock import Mock, patch + + expected_token = "azure-access-token-12345" + + mock_token = Mock() + mock_token.token = expected_token + + mock_credential = Mock() + mock_credential.get_token.return_value = mock_token + + mock_azure_identity = Mock() + mock_azure_identity.DefaultAzureCredential = Mock(return_value=mock_credential) + mock_azure_identity.ClientSecretCredential = Mock() + mock_azure_identity.ManagedIdentityCredential = Mock() + + with patch.dict( + "sys.modules", {"azure.identity": mock_azure_identity, "azure": Mock()} + ): + from litellm._redis import _generate_azure_ad_redis_token + + result = _generate_azure_ad_redis_token() + + assert result == expected_token + mock_credential.get_token.assert_called_once_with( + "https://redis.azure.com/.default" + ) + + +def test_generate_azure_ad_redis_token_service_principal(): + """Test _generate_azure_ad_redis_token with service principal credentials.""" + from unittest.mock import Mock, patch + + expected_token = "sp-access-token-67890" + + mock_token = Mock() + mock_token.token = expected_token + + mock_credential = Mock() + mock_credential.get_token.return_value = mock_token + + mock_client_secret_credential = Mock(return_value=mock_credential) + + mock_azure_identity = Mock() + mock_azure_identity.DefaultAzureCredential = Mock() + mock_azure_identity.ClientSecretCredential = mock_client_secret_credential + mock_azure_identity.ManagedIdentityCredential = Mock() + + with patch.dict( + "sys.modules", {"azure.identity": mock_azure_identity, "azure": Mock()} + ): + from litellm._redis import _generate_azure_ad_redis_token + + result = _generate_azure_ad_redis_token( + azure_client_id="test-client-id", + azure_tenant_id="test-tenant-id", + azure_client_secret="test-secret", + ) + + assert result == expected_token + mock_client_secret_credential.assert_called_once_with( + client_id="test-client-id", + tenant_id="test-tenant-id", + client_secret="test-secret", + ) + + +def test_generate_azure_ad_redis_token_import_error(): + """Test that _generate_azure_ad_redis_token raises ImportError when azure-identity is missing.""" + from unittest.mock import patch + from litellm._redis import _generate_azure_ad_redis_token + + with patch.dict("sys.modules", {"azure.identity": None}): + with pytest.raises(ImportError) as exc_info: + _generate_azure_ad_redis_token() + + assert "azure-identity is required" in str(exc_info.value) + + +def test_redis_client_logic_azure_ad_auth(): + """Test that _get_redis_client_logic sets up Azure AD auth when REDIS_AZURE_AD_TOKEN=true. + + Mocks ``azure.identity`` via ``sys.modules`` so the test does not require + the real ``azure-identity`` package to be installed in the CI environment. + """ + from unittest.mock import Mock, patch + + mock_credential = Mock() + mock_azure_identity = Mock() + mock_azure_identity.DefaultAzureCredential = Mock(return_value=mock_credential) + mock_azure_identity.ClientSecretCredential = Mock(return_value=mock_credential) + mock_azure_identity.ManagedIdentityCredential = Mock(return_value=mock_credential) + + with patch.dict( + "sys.modules", {"azure.identity": mock_azure_identity, "azure": Mock()} + ): + from litellm._redis import _get_redis_client_logic + + redis_kwargs = _get_redis_client_logic( + host="myredis.redis.cache.windows.net", + port="6380", + azure_redis_ad_token="true", + ssl=True, + ) + + assert "redis_connect_func" in redis_kwargs + # Marker for async paths to detect Azure AD auth + assert hasattr(redis_kwargs["redis_connect_func"], "_azure_redis_ad_token") + assert redis_kwargs["redis_connect_func"]._azure_redis_ad_token is True + # Live credential object (not raw secret) is exposed for async paths + assert hasattr(redis_kwargs["redis_connect_func"], "_azure_credential") + # Raw credentials must NOT be exposed on the function + assert not hasattr(redis_kwargs["redis_connect_func"], "_azure_client_secret") + assert not hasattr(redis_kwargs["redis_connect_func"], "_azure_client_id") + assert not hasattr(redis_kwargs["redis_connect_func"], "_azure_tenant_id") + + # Azure-specific kwargs should be removed from the dict passed to Redis + assert "azure_redis_ad_token" not in redis_kwargs + assert "azure_client_id" not in redis_kwargs + + if __name__ == "__main__": # Allow running this test file directly for debugging pytest.main([__file__, "-v"]) diff --git a/tests/test_litellm/test_utils_module_docstring.py b/tests/test_litellm/test_utils_module_docstring.py new file mode 100644 index 00000000000..ac99fb63fd4 --- /dev/null +++ b/tests/test_litellm/test_utils_module_docstring.py @@ -0,0 +1,11 @@ +import ast +from pathlib import Path + + +def test_utils_module_has_docstring(): + utils_path = Path(__file__).parents[2] / "litellm" / "utils.py" + module = ast.parse(utils_path.read_text()) + + assert ast.get_docstring(module) == ( + "Utility helpers for LiteLLM core request handling and provider support." + ) diff --git a/tests/test_openai_endpoints.py b/tests/test_openai_endpoints.py index 8a3f9361ba1..e898b88a556 100644 --- a/tests/test_openai_endpoints.py +++ b/tests/test_openai_endpoints.py @@ -23,7 +23,7 @@ async def generate_key( models=[ "gpt-4", "text-embedding-ada-002", - "dall-e-2", + "gpt-image-1", "fake-openai-endpoint-2", "mistral-embed", ], @@ -56,7 +56,7 @@ async def new_user(session): url = "http://0.0.0.0:4000/user/new" headers = {"Authorization": "Bearer sk-1234", "Content-Type": "application/json"} data = { - "models": ["gpt-4", "text-embedding-ada-002", "dall-e-2"], + "models": ["gpt-4", "text-embedding-ada-002", "gpt-image-1"], "duration": None, } @@ -264,7 +264,7 @@ async def image_generation(session, key): "Content-Type": "application/json", } data = { - "model": "dall-e-2", + "model": "gpt-image-1", "prompt": "A cute baby sea otter", } diff --git a/ui/litellm-dashboard/src/app/(dashboard)/hooks/teams/useTeams.ts b/ui/litellm-dashboard/src/app/(dashboard)/hooks/teams/useTeams.ts index f74a71e901e..b25b6ce393a 100644 --- a/ui/litellm-dashboard/src/app/(dashboard)/hooks/teams/useTeams.ts +++ b/ui/litellm-dashboard/src/app/(dashboard)/hooks/teams/useTeams.ts @@ -29,6 +29,7 @@ export interface TeamListCallOptions { organizationID?: string | null; teamID?: string | null; team_alias?: string | null; + search?: string | null; userID?: string | null; sortBy?: string | null; sortOrder?: string | null; @@ -52,6 +53,7 @@ export const teamListCall = async ( team_id: options.teamID, organization_id: options.organizationID, team_alias: options.team_alias, + search: options.search, user_id: options.userID, page, page_size: pageSize, @@ -178,6 +180,7 @@ const deletedTeamListCall = async ( team_id: options.teamID, organization_id: options.organizationID, team_alias: options.team_alias, + search: options.search, user_id: options.userID, page, page_size: pageSize, diff --git a/ui/litellm-dashboard/src/components/ModelSelect/ModelSelect.test.tsx b/ui/litellm-dashboard/src/components/ModelSelect/ModelSelect.test.tsx index 6da2f82a2f1..a57b7e2095a 100644 --- a/ui/litellm-dashboard/src/components/ModelSelect/ModelSelect.test.tsx +++ b/ui/litellm-dashboard/src/components/ModelSelect/ModelSelect.test.tsx @@ -535,6 +535,21 @@ describe("ModelSelect", () => { }); }); + it("should not render an empty optgroup when includeSpecialOptions is omitted", async () => { + renderWithProviders(); + + await waitFor(() => { + expect(screen.getByTestId("model-select")).toBeInTheDocument(); + }); + + const optgroups = document.querySelectorAll("optgroup"); + // Wildcard Options + Models — no blank leading group + expect(optgroups.length).toBe(2); + optgroups.forEach((g) => { + expect(g.getAttribute("label")).toBeTruthy(); + }); + }); + it("should render maxTagPlaceholder when many items are selected", async () => { // Create many models to trigger maxTagCount responsive behavior const manyModels: ProxyModel[] = Array.from({ length: 20 }, (_, i) => ({ diff --git a/ui/litellm-dashboard/src/components/ModelSelect/ModelSelect.tsx b/ui/litellm-dashboard/src/components/ModelSelect/ModelSelect.tsx index 74b2619f7f3..800fa86b165 100644 --- a/ui/litellm-dashboard/src/components/ModelSelect/ModelSelect.tsx +++ b/ui/litellm-dashboard/src/components/ModelSelect/ModelSelect.tsx @@ -141,36 +141,38 @@ export const ModelSelect = (props: ModelSelectProps) => { onChange={handleChange} style={style} options={[ - includeSpecialOptions - ? { - label: Special Options, - title: "Special Options", - options: [ - ...(shouldShowAllProxyModels - ? [ - { - label: All Proxy Models, - value: MODEL_SELECT_ALL_PROXY_MODELS_SPECIAL_VALUE.value, - disabled: - value.length > 0 && - value.some( - (v) => isSpecialOption(v) && v !== MODEL_SELECT_ALL_PROXY_MODELS_SPECIAL_VALUE.value, - ), - key: MODEL_SELECT_ALL_PROXY_MODELS_SPECIAL_VALUE.value, - }, - ] - : []), - { - label: No Default Models, - value: MODEL_SELECT_NO_DEFAULT_MODELS_SPECIAL_VALUE.value, - disabled: - value.length > 0 && - value.some((v) => isSpecialOption(v) && v !== MODEL_SELECT_NO_DEFAULT_MODELS_SPECIAL_VALUE.value), - key: MODEL_SELECT_NO_DEFAULT_MODELS_SPECIAL_VALUE.value, - }, - ], - } - : [], + ...(includeSpecialOptions + ? [ + { + label: Special Options, + title: "Special Options", + options: [ + ...(shouldShowAllProxyModels + ? [ + { + label: All Proxy Models, + value: MODEL_SELECT_ALL_PROXY_MODELS_SPECIAL_VALUE.value, + disabled: + value.length > 0 && + value.some( + (v) => isSpecialOption(v) && v !== MODEL_SELECT_ALL_PROXY_MODELS_SPECIAL_VALUE.value, + ), + key: MODEL_SELECT_ALL_PROXY_MODELS_SPECIAL_VALUE.value, + }, + ] + : []), + { + label: No Default Models, + value: MODEL_SELECT_NO_DEFAULT_MODELS_SPECIAL_VALUE.value, + disabled: + value.length > 0 && + value.some((v) => isSpecialOption(v) && v !== MODEL_SELECT_NO_DEFAULT_MODELS_SPECIAL_VALUE.value), + key: MODEL_SELECT_NO_DEFAULT_MODELS_SPECIAL_VALUE.value, + }, + ], + }, + ] + : []), ...(wildcard.length > 0 ? [ { diff --git a/ui/litellm-dashboard/src/components/OldTeams.tsx b/ui/litellm-dashboard/src/components/OldTeams.tsx index abc26c4cd44..b9305e4723a 100644 --- a/ui/litellm-dashboard/src/components/OldTeams.tsx +++ b/ui/litellm-dashboard/src/components/OldTeams.tsx @@ -80,8 +80,7 @@ interface TeamProps { } interface FilterState { - team_id: string; - team_alias: string; + search: string; organization_id: string; sort_by: string; sort_order: "asc" | "desc"; @@ -200,8 +199,7 @@ const Teams: React.FC = ({ const [currentOrg, setCurrentOrg] = useState(null); const [currentOrgForCreateTeam, setCurrentOrgForCreateTeam] = useState(null); const [filters, setFilters] = useState({ - team_id: "", - team_alias: "", + search: "", organization_id: "", sort_by: "created_at", sort_order: "desc", @@ -215,7 +213,7 @@ const Teams: React.FC = ({ sortBy?: string; sortOrder?: string; organizationID?: string; - teamAlias?: string; + search?: string; } = {}) => { if (!accessToken) return; const page = opts.page ?? currentPage; @@ -223,7 +221,7 @@ const Teams: React.FC = ({ const sortBy = opts.sortBy ?? filters.sort_by; const sortOrder = opts.sortOrder ?? filters.sort_order; const organizationID = opts.organizationID ?? filters.organization_id; - const teamAlias = opts.teamAlias ?? filters.team_alias; + const search = opts.search ?? filters.search; setIsLoading(true); setFetchError(null); @@ -234,7 +232,7 @@ const Teams: React.FC = ({ size, { organizationID: organizationID || null, - team_alias: teamAlias || null, + search: search || null, userID: userRole !== "Admin" && userRole !== "Admin Viewer" ? userID : null, sortBy: sortBy || null, sortOrder: sortOrder || null, @@ -632,9 +630,9 @@ const Teams: React.FC = ({ setIsSearching(true); searchDebounceRef.current = setTimeout(async () => { try { - setFilters((prev) => ({ ...prev, team_alias: value })); + setFilters((prev) => ({ ...prev, search: value })); setCurrentPage(1); - await fetchTeamsV2({ page: 1, teamAlias: value }); + await fetchTeamsV2({ page: 1, search: value }); } finally { setIsSearching(false); } @@ -653,7 +651,7 @@ const Teams: React.FC = ({ pageSize, { organizationID: newFilters.organization_id || null, - team_alias: newFilters.team_alias || null, + search: newFilters.search || null, userID: userRole !== "Admin" && userRole !== "Admin Viewer" ? userID : null, sortBy: newFilters.sort_by || null, sortOrder: newFilters.sort_order || null, @@ -670,15 +668,14 @@ const Teams: React.FC = ({ if (searchDebounceRef.current) clearTimeout(searchDebounceRef.current); setIsSearching(false); const resetFilters: FilterState = { - team_id: "", - team_alias: "", + search: "", organization_id: "", sort_by: "created_at", sort_order: "desc", }; setFilters(resetFilters); setCurrentPage(1); - fetchTeamsV2({ page: 1, organizationID: "", teamAlias: "", sortBy: "created_at", sortOrder: "desc" }); + fetchTeamsV2({ page: 1, organizationID: "", search: "", sortBy: "created_at", sortOrder: "desc" }); }; const { token } = theme.useToken(); @@ -945,7 +942,7 @@ const Teams: React.FC = ({ } suffix={isSearching ? : null} - placeholder="Search teams by name..." + placeholder="Search teams by name or ID..." onChange={(e) => handleSearchChange(e.target.value)} allowClear style={{ maxWidth: 400 }} diff --git a/ui/litellm-dashboard/src/components/UsagePage/components/UsagePageView.test.tsx b/ui/litellm-dashboard/src/components/UsagePage/components/UsagePageView.test.tsx index bbcddd572cd..b95f63368c7 100644 --- a/ui/litellm-dashboard/src/components/UsagePage/components/UsagePageView.test.tsx +++ b/ui/litellm-dashboard/src/components/UsagePage/components/UsagePageView.test.tsx @@ -57,7 +57,10 @@ vi.mock("./EndpointUsage/EndpointUsage", () => ({ vi.mock("./UsageViewSelect/UsageViewSelect", async () => { const React = await import("react"); - const UsageViewSelect = ({ value, onChange }: any) => { + const UsageViewSelect = ({ value, onChange, canViewTagUsage = false }: any) => { + const tagOption = canViewTagUsage + ? React.createElement("option", { value: "tag" }, "Tag Usage") + : null; return React.createElement( "select", { @@ -70,7 +73,7 @@ vi.mock("./UsageViewSelect/UsageViewSelect", async () => { React.createElement("option", { value: "team" }, "Team Usage"), React.createElement("option", { value: "organization" }, "Organization Usage"), React.createElement("option", { value: "customer" }, "Customer Usage"), - React.createElement("option", { value: "tag" }, "Tag Usage"), + tagOption, React.createElement("option", { value: "agent" }, "Agent Usage"), React.createElement("option", { value: "user-agent-activity" }, "User Agent Activity"), ); @@ -639,6 +642,29 @@ describe("UsagePage", () => { }); }); + it("should show tag usage selector option for internal users", async () => { + mockUseAuthorized.mockReturnValue({ + isLoading: false, + isAuthorized: true, + token: "mock-token", + accessToken: "test-token", + userId: "user-123", + userEmail: "test@example.com", + userRole: "internal_user", + premiumUser: true, + disabledPersonalKeyCreation: false, + showSSOBanner: false, + }); + + renderWithProviders(); + + await waitFor(() => { + expect(mockUserDailyActivityAggregatedCall).toHaveBeenCalled(); + }); + + expect(screen.getByRole("option", { name: "Tag Usage" })).toBeInTheDocument(); + }); + it("should show organization usage banner and view for admins", async () => { renderWithProviders(); diff --git a/ui/litellm-dashboard/src/components/UsagePage/components/UsagePageView.tsx b/ui/litellm-dashboard/src/components/UsagePage/components/UsagePageView.tsx index 809f1d4e17b..50dd5e78f37 100644 --- a/ui/litellm-dashboard/src/components/UsagePage/components/UsagePageView.tsx +++ b/ui/litellm-dashboard/src/components/UsagePage/components/UsagePageView.tsx @@ -31,7 +31,7 @@ import useAuthorized from "@/app/(dashboard)/hooks/useAuthorized"; import { useCurrentUser } from "@/app/(dashboard)/hooks/users/useCurrentUser"; import { useInfiniteUsers } from "@/app/(dashboard)/hooks/users/useUsers"; import { formatNumberWithCommas } from "@/utils/dataUtils"; -import { all_admin_roles } from "../../../utils/roles"; +import { all_admin_roles, internalUserRoles } from "../../../utils/roles"; import { ActivityMetrics, processActivityData } from "../../activity_metrics"; import CloudZeroExportModal from "../../cloudzero_export_modal"; import EntityUsageExportModal from "../../EntityUsageExport"; @@ -84,6 +84,7 @@ const UsagePage: React.FC = ({ teams, organizations }) => { console.log(`currentUser: ${JSON.stringify(currentUser)}`); console.log(`currentUser max budget: ${currentUser?.max_budget}`); const isAdmin = all_admin_roles.includes(userRole || ""); + const canViewTagUsage = isAdmin || internalUserRoles.includes(userRole || ""); // Debounced search for user selector const [userSearchInput, setUserSearchInput] = useState(""); @@ -145,23 +146,6 @@ const UsagePage: React.FC = ({ teams, organizations }) => { const [topKeysLimit, setTopKeysLimit] = useState(5); const [topModelsLimit, setTopModelsLimit] = useState(5); const [showTokenBreakdown, setShowTokenBreakdown] = useState(false); - const getAllTags = async () => { - if (!accessToken) { - return; - } - const tags = await tagListCall(accessToken); - setAllTags( - Object.values(tags).map((tag: Tag) => ({ - label: tag.name, - value: tag.name, - })), - ); - }; - - useEffect(() => { - getAllTags(); - }, [accessToken]); - // Sync selectedUserId when auth state settles (isAdmin/userID may be null on initial render) useEffect(() => { if (!isAdmin && userID) { @@ -175,6 +159,30 @@ const UsagePage: React.FC = ({ teams, organizations }) => { const startTime = useMemo(() => (dateValue.from ? new Date(dateValue.from) : null), [dateValue.from]); const endTime = useMemo(() => (dateValue.to ? new Date(dateValue.to) : null), [dateValue.to]); + useEffect(() => { + if (!accessToken) return; + let cancelled = false; + (async () => { + try { + const tags = await tagListCall(accessToken, startTime, endTime); + if (cancelled) return; + setAllTags( + Object.values(tags).map((tag: Tag) => ({ + label: tag.name, + value: tag.name, + })), + ); + } catch (e) { + if (!cancelled) { + console.error("Failed to fetch tag list", e); + } + } + })(); + return () => { + cancelled = true; + }; + }, [accessToken, startTime, endTime]); + // Try aggregated endpoint first, fall back to paginated on failure const aggregatedFetchIdRef = useRef(0); useEffect(() => { @@ -437,7 +445,12 @@ const UsagePage: React.FC = ({ teams, organizations }) => {
- setUsageView(value)} isAdmin={isAdmin} /> + setUsageView(value)} + isAdmin={isAdmin} + canViewTagUsage={canViewTagUsage} + />
{paginatedResult.isFetchingMore && ( diff --git a/ui/litellm-dashboard/src/components/UsagePage/components/UsageViewSelect/UsageViewSelect.test.tsx b/ui/litellm-dashboard/src/components/UsagePage/components/UsageViewSelect/UsageViewSelect.test.tsx index 7bb80b424b5..b33129fcdb4 100644 --- a/ui/litellm-dashboard/src/components/UsagePage/components/UsageViewSelect/UsageViewSelect.test.tsx +++ b/ui/litellm-dashboard/src/components/UsagePage/components/UsageViewSelect/UsageViewSelect.test.tsx @@ -110,4 +110,16 @@ describe("UsageViewSelect", () => { expect(mockOnChange).toHaveBeenCalledWith("team"); }); + + it("should show Tag Usage for non-admin users with tag usage permission", () => { + render(); + + expect(screen.getByRole("option", { name: "Tag Usage" })).toBeInTheDocument(); + }); + + it("should hide Tag Usage for non-admin users without tag usage permission", () => { + render(); + + expect(screen.queryByRole("option", { name: "Tag Usage" })).not.toBeInTheDocument(); + }); }); diff --git a/ui/litellm-dashboard/src/components/UsagePage/components/UsageViewSelect/UsageViewSelect.tsx b/ui/litellm-dashboard/src/components/UsagePage/components/UsageViewSelect/UsageViewSelect.tsx index 11fdb8a7cf5..184fc000274 100644 --- a/ui/litellm-dashboard/src/components/UsagePage/components/UsageViewSelect/UsageViewSelect.tsx +++ b/ui/litellm-dashboard/src/components/UsagePage/components/UsageViewSelect/UsageViewSelect.tsx @@ -16,6 +16,7 @@ export interface UsageViewSelectProps { value: UsageOption; onChange: (value: UsageOption) => void; isAdmin: boolean; + canViewTagUsage?: boolean; title?: string; description?: string; "data-id"?: string; @@ -106,12 +107,16 @@ export const UsageViewSelect: React.FC = ({ value, onChange, isAdmin, + canViewTagUsage = false, title = "Usage View", description = "Select the usage data you want to view", "data-id": dataId, }) => { const getFilteredOptions = () => { return OPTIONS.filter((option) => { + if (option.value === "tag" && canViewTagUsage) { + return true; + } if (option.adminOnly && !isAdmin) { return false; } diff --git a/ui/litellm-dashboard/src/components/key_team_helpers/key_list.tsx b/ui/litellm-dashboard/src/components/key_team_helpers/key_list.tsx index f410a049762..6b3c65aaf7b 100644 --- a/ui/litellm-dashboard/src/components/key_team_helpers/key_list.tsx +++ b/ui/litellm-dashboard/src/components/key_team_helpers/key_list.tsx @@ -53,6 +53,7 @@ export interface KeyResponse { organization_id: string | null; org_id?: string | null; created_at: string; + created_by?: string; updated_at: string; last_active: string | null; team_spend: number; diff --git a/ui/litellm-dashboard/src/components/model_info_view.test.tsx b/ui/litellm-dashboard/src/components/model_info_view.test.tsx index 29eb8e0019b..54144d02eda 100644 --- a/ui/litellm-dashboard/src/components/model_info_view.test.tsx +++ b/ui/litellm-dashboard/src/components/model_info_view.test.tsx @@ -250,6 +250,33 @@ describe("ModelInfoView", () => { }); }); + it("should pass model_info.id to disambiguate duplicate model_name deployments", async () => { + // Regression test: when two deployments share `model_name` (e.g. + // wildcard `openai/*` with different `api_base` values), the UI + // must forward the clicked row's `model_info.id` to the backend. + // Otherwise /health/test_connection silently probes deployments[0] + // instead of the deployment the user actually selected. + const user = userEvent.setup(); + render(, { wrapper }); + + await waitFor(() => { + expect(screen.getByText("Model Settings")).toBeInTheDocument(); + }); + + const testButton = screen.getByRole("button", { name: /test connection/i }); + await user.click(testButton); + + await waitFor(() => { + expect(mockTestConnectionRequest).toHaveBeenCalled(); + }); + + const callArgs = mockTestConnectionRequest.mock.calls[0]; + // Signature: (accessToken, litellm_params, model_info, mode) + const modelInfoArg = callArgs[2] as Record; + expect(modelInfoArg).toBeDefined(); + expect(modelInfoArg.id).toBe("123"); + }); + it("should display error notification when connection test fails", async () => { const user = userEvent.setup(); mockTestConnectionRequest.mockRejectedValue(new Error("Connection failed")); diff --git a/ui/litellm-dashboard/src/components/model_info_view.tsx b/ui/litellm-dashboard/src/components/model_info_view.tsx index ea8af2fcd62..95a43862de5 100644 --- a/ui/litellm-dashboard/src/components/model_info_view.tsx +++ b/ui/litellm-dashboard/src/components/model_info_view.tsx @@ -379,6 +379,12 @@ export default function ModelInfoView({ model: localModelData.litellm_model_name, }, { + // `id` is required to disambiguate when multiple deployments + // share the same model_name (e.g. wildcard `openai/*` with two + // different `api_base` values for failover). Without it the + // backend silently falls back to deployments[0] and probes + // the wrong endpoint. + id: localModelData.model_info?.id, mode: localModelData.model_info?.mode, }, localModelData.model_info?.mode, diff --git a/ui/litellm-dashboard/src/components/networking.tsx b/ui/litellm-dashboard/src/components/networking.tsx index 8bfe7c98691..7f28dbe6da9 100644 --- a/ui/litellm-dashboard/src/components/networking.tsx +++ b/ui/litellm-dashboard/src/components/networking.tsx @@ -7288,10 +7288,29 @@ export const tagInfoCall = async (accessToken: string, tagNames: string[]): Prom } }; -export const tagListCall = async (accessToken: string): Promise => { +const formatYmd = (value: Date): string => { + const year = value.getFullYear(); + const month = String(value.getMonth() + 1).padStart(2, "0"); + const day = String(value.getDate()).padStart(2, "0"); + return `${year}-${month}-${day}`; +}; + +export const tagListCall = async ( + accessToken: string, + startTime?: Date | null, + endTime?: Date | null, +): Promise => { try { let url = proxyBaseUrl ? `${proxyBaseUrl}/tag/list` : `/tag/list`; + if (startTime && endTime) { + const params = new URLSearchParams({ + start_date: formatYmd(startTime), + end_date: formatYmd(endTime), + }); + url = `${url}?${params.toString()}`; + } + const response = await fetch(url, { method: "GET", headers: { diff --git a/ui/litellm-dashboard/src/components/team/TeamVirtualKeysTable.tsx b/ui/litellm-dashboard/src/components/team/TeamVirtualKeysTable.tsx index a7e48ff12bc..cfc08e8c4ef 100644 --- a/ui/litellm-dashboard/src/components/team/TeamVirtualKeysTable.tsx +++ b/ui/litellm-dashboard/src/components/team/TeamVirtualKeysTable.tsx @@ -25,7 +25,8 @@ import { Text, } from "@tremor/react"; import { InfoCircleOutlined } from "@ant-design/icons"; -import { Popover, Skeleton, Tooltip } from "antd"; +import { Popover, Skeleton, Tooltip, Typography } from "antd"; +import DefaultProxyAdminTag from "../common_components/DefaultProxyAdminTag"; import React, { useCallback, useEffect, useMemo, useState } from "react"; import { getModelDisplayName } from "../key_team_helpers/fetch_available_models_team_key"; import { KeyResponse, Team } from "../key_team_helpers/key_list"; @@ -339,18 +340,59 @@ export function TeamVirtualKeysTable({ teamId, teamAlias, organization }: TeamVi size: 70, enableSorting: false, cell: (info) => { - const value = info.getValue() as string | null; - const displayValue = value === "default_user_id" ? "Default Proxy Admin" : value; + const userId = info.getValue() as string | null; + if (!userId) return "-"; + const { created_by_user } = info.row.original; + const userAlias = created_by_user?.user_alias ?? null; + const userEmail = created_by_user?.user_email ?? null; + const isDefaultAdmin = userId === "default_user_id"; + const displayValue = userAlias || userEmail || userId; const width = info.cell.column.getSize(); + + const popoverContent = ( +
+ {[ + { label: "User Alias", value: userAlias }, + { label: "User Email", value: userEmail }, + { label: "User ID", value: userId }, + ].map(({ label, value }) => ( +
+ {label} + {value ? ( + + {value} + + ) : ( + - + )} +
+ ))} +
+ ); + + if (isDefaultAdmin && !userAlias && !userEmail) { + return ( + + + + + + ); + } + return ( - + - {displayValue ?? "-"} + {displayValue} - + ); }, }, diff --git a/ui/litellm-dashboard/src/components/templates/KeyInfoHeader.test.tsx b/ui/litellm-dashboard/src/components/templates/KeyInfoHeader.test.tsx index c9c5856129f..14750787609 100644 --- a/ui/litellm-dashboard/src/components/templates/KeyInfoHeader.test.tsx +++ b/ui/litellm-dashboard/src/components/templates/KeyInfoHeader.test.tsx @@ -8,10 +8,12 @@ const MOCK_DATA: KeyInfoData = { keyId: "sk-1234567890abcdef", userId: "user-abc-123", userEmail: "test@example.com", + userAlias: null, createdBy: "admin@example.com", createdAt: "Oct 29, 2025 at 1:26 AM", lastUpdated: "Oct 29, 2025 at 1:47 AM", lastActive: "Oct 29, 2025 at 2:00 AM", + expires: "Never", }; describe("KeyInfoHeader", () => { @@ -28,12 +30,11 @@ describe("KeyInfoHeader", () => { it("should render all metadata fields", () => { render(); - expect(screen.getByText("User Email")).toBeInTheDocument(); + expect(screen.getByText("User")).toBeInTheDocument(); expect(screen.getByText("test@example.com")).toBeInTheDocument(); - expect(screen.getByText("User ID")).toBeInTheDocument(); - expect(screen.getByText("user-abc-123")).toBeInTheDocument(); expect(screen.getByText("Created At")).toBeInTheDocument(); expect(screen.getByText("Created By")).toBeInTheDocument(); + expect(screen.getByText("Expires")).toBeInTheDocument(); expect(screen.getByText("Last Updated")).toBeInTheDocument(); expect(screen.getByText("Last Active")).toBeInTheDocument(); }); @@ -122,8 +123,8 @@ describe("KeyInfoHeader", () => { }); describe("default_user_id handling", () => { - it("should show Default Proxy Admin tag for User ID when value is default_user_id", () => { - const data = { ...MOCK_DATA, userId: "default_user_id" }; + it("should show Default Proxy Admin tag for User when userId is default_user_id and no alias/email", () => { + const data = { ...MOCK_DATA, userId: "default_user_id", userEmail: "", userAlias: null }; render(); expect(screen.getAllByText("Default Proxy Admin").length).toBeGreaterThanOrEqual(1); }); @@ -135,9 +136,27 @@ describe("KeyInfoHeader", () => { }); }); - describe("empty value handling", () => { - it("should show '-' for User Email when value is empty", () => { - const data = { ...MOCK_DATA, userEmail: "" }; + describe("User field fallbacks", () => { + it("should display userAlias as primary when set, overriding email and userId", () => { + const data = { ...MOCK_DATA, userAlias: "alice" }; + render(); + expect(screen.getByText("alice")).toBeInTheDocument(); + expect(screen.queryByText("test@example.com")).not.toBeInTheDocument(); + }); + + it("should display userEmail when alias is null", () => { + render(); + expect(screen.getByText("test@example.com")).toBeInTheDocument(); + }); + + it("should fall back to userId when alias and email are missing", () => { + const data = { ...MOCK_DATA, userEmail: "", userAlias: null }; + render(); + expect(screen.getByText("user-abc-123")).toBeInTheDocument(); + }); + + it("should show '-' when alias, email, and userId are all empty", () => { + const data = { ...MOCK_DATA, userId: "", userEmail: "", userAlias: null }; render(); expect(screen.getByText("-")).toBeInTheDocument(); }); diff --git a/ui/litellm-dashboard/src/components/templates/KeyInfoHeader.tsx b/ui/litellm-dashboard/src/components/templates/KeyInfoHeader.tsx index 93ebae9c4be..d39b46a5cdd 100644 --- a/ui/litellm-dashboard/src/components/templates/KeyInfoHeader.tsx +++ b/ui/litellm-dashboard/src/components/templates/KeyInfoHeader.tsx @@ -1,19 +1,20 @@ import React from "react"; -import { Button, Typography, Tooltip, Space, Divider, Flex } from "antd"; +import { Button, Typography, Tooltip, Space, Divider, Flex, Popover } from "antd"; import { ArrowLeftOutlined, SyncOutlined, DeleteOutlined, PlusOutlined, UserOutlined, - MailOutlined, CalendarOutlined, ClockCircleOutlined, ThunderboltOutlined, SafetyCertificateOutlined, TransactionOutlined, + FieldTimeOutlined, } from "@ant-design/icons"; import LabeledField from "../common_components/LabeledField"; +import DefaultProxyAdminTag from "../common_components/DefaultProxyAdminTag"; const { Title, Text } = Typography; @@ -22,10 +23,12 @@ export interface KeyInfoData { keyId: string; userId: string; userEmail: string; + userAlias?: string | null; createdBy: string; createdAt: string; lastUpdated: string; lastActive: string; + expires: string; } interface KeyInfoHeaderProps { @@ -41,6 +44,94 @@ interface KeyInfoHeaderProps { regenerateTooltip?: string; } +function UserField({ + userAlias, + userEmail, + userId, +}: { + userAlias?: string | null; + userEmail: string; + userId: string; +}) { + const labelEl = ( + + + + User + + + ); + + const isEmpty = !userAlias && !userEmail && !userId; + if (isEmpty) { + return ( +
+ {labelEl} +
-
+
+ ); + } + + const isDefaultAdmin = userId === "default_user_id"; + const displayValue = userAlias || userEmail || userId; + + const popoverContent = ( +
+ {[ + { label: "User Alias", value: userAlias ?? null }, + { label: "User Email", value: userEmail || null }, + { label: "User ID", value: userId || null }, + ].map(({ label, value }) => ( +
+ {label} + {value ? ( + + {value} + + ) : ( + - + )} +
+ ))} +
+ ); + + if (isDefaultAdmin && !userAlias && !userEmail) { + return ( +
+ {labelEl} +
+ + + +
+
+ ); + } + + return ( +
+ {labelEl} +
+ + + {displayValue} + + +
+
+ ); +} + export function KeyInfoHeader({ data, onBack, @@ -101,15 +192,8 @@ export function KeyInfoHeader({ - } /> - } - truncate - copyable - defaultUserIdCheck - /> + + } /> diff --git a/ui/litellm-dashboard/src/components/templates/key_edit_view.test.tsx b/ui/litellm-dashboard/src/components/templates/key_edit_view.test.tsx index 2e4d0d97e4c..1886075a9d9 100644 --- a/ui/litellm-dashboard/src/components/templates/key_edit_view.test.tsx +++ b/ui/litellm-dashboard/src/components/templates/key_edit_view.test.tsx @@ -158,8 +158,8 @@ describe("KeyEditView", () => { const { getByText } = renderWithProviders( { }} - onSubmit={async () => { }} + onCancel={() => {}} + onSubmit={async () => {}} accessToken={""} userID={""} userRole={""} @@ -176,8 +176,8 @@ describe("KeyEditView", () => { const { getByText } = renderWithProviders( { }} - onSubmit={async () => { }} + onCancel={() => {}} + onSubmit={async () => {}} accessToken={""} userID={""} userRole={""} @@ -194,8 +194,8 @@ describe("KeyEditView", () => { const { getByLabelText } = renderWithProviders( { }} - onSubmit={async () => { }} + onCancel={() => {}} + onSubmit={async () => {}} accessToken={""} userID={""} userRole={""} @@ -219,7 +219,7 @@ describe("KeyEditView", () => { { }} + onSubmit={async () => {}} accessToken={""} userID={""} userRole={""} @@ -241,8 +241,8 @@ describe("KeyEditView", () => { renderWithProviders( { }} - onSubmit={async () => { }} + onCancel={() => {}} + onSubmit={async () => {}} accessToken={""} userID={""} userRole={""} @@ -259,8 +259,8 @@ describe("KeyEditView", () => { renderWithProviders( { }} - onSubmit={async () => { }} + onCancel={() => {}} + onSubmit={async () => {}} accessToken={""} userID={""} userRole={""} @@ -277,8 +277,8 @@ describe("KeyEditView", () => { renderWithProviders( { }} - onSubmit={async () => { }} + onCancel={() => {}} + onSubmit={async () => {}} accessToken={""} userID={""} userRole={""} @@ -295,8 +295,8 @@ describe("KeyEditView", () => { renderWithProviders( { }} - onSubmit={async () => { }} + onCancel={() => {}} + onSubmit={async () => {}} accessToken={""} userID={""} userRole={""} @@ -314,7 +314,7 @@ describe("KeyEditView", () => { renderWithProviders( { }} + onCancel={() => {}} onSubmit={onSubmitMock} accessToken={"test-token"} userID={"test-user"} @@ -344,8 +344,8 @@ describe("KeyEditView", () => { renderWithProviders( { }} - onSubmit={async () => { }} + onCancel={() => {}} + onSubmit={async () => {}} accessToken={""} userID={""} userRole={""} @@ -367,8 +367,8 @@ describe("KeyEditView", () => { renderWithProviders( { }} - onSubmit={async () => { }} + onCancel={() => {}} + onSubmit={async () => {}} accessToken={""} userID={""} userRole={""} @@ -385,8 +385,8 @@ describe("KeyEditView", () => { renderWithProviders( { }} - onSubmit={async () => { }} + onCancel={() => {}} + onSubmit={async () => {}} accessToken={"test-token"} userID={""} userRole={""} @@ -404,7 +404,7 @@ describe("KeyEditView", () => { renderWithProviders( { }} + onCancel={() => {}} onSubmit={onSubmitMock} accessToken={"test-token"} userID={"test-user"} @@ -434,10 +434,14 @@ describe("KeyEditView", () => { it("should handle empty allowed routes string on submit", async () => { const onSubmitMock = vi.fn().mockResolvedValue(undefined); + const keyDataWithRoutes = { + ...MOCK_KEY_DATA, + allowed_routes: ["llm_api_routes"], + }; renderWithProviders( { }} + keyData={keyDataWithRoutes} + onCancel={() => {}} onSubmit={onSubmitMock} accessToken={"test-token"} userID={"test-user"} @@ -463,6 +467,101 @@ describe("KeyEditView", () => { }); }); + it("should omit allowed_routes from submit when value is unchanged", async () => { + const onSubmitMock = vi.fn().mockResolvedValue(undefined); + const aiApisKeyData = { + ...MOCK_KEY_DATA, + allowed_routes: ["llm_api_routes"], + }; + renderWithProviders( + {}} + onSubmit={onSubmitMock} + accessToken={"test-token"} + userID={"test-user"} + userRole={"admin"} + premiumUser={false} + />, + ); + + await waitFor(() => { + expect(screen.getByRole("button", { name: /save changes/i })).toBeInTheDocument(); + }); + + const submitButton = screen.getByRole("button", { name: /save changes/i }); + await userEvent.click(submitButton); + + await waitFor(() => { + expect(onSubmitMock).toHaveBeenCalled(); + const callArgs = onSubmitMock.mock.calls[0][0]; + expect("allowed_routes" in callArgs).toBe(false); + }); + }); + + it("should omit allowed_routes from submit when keyData.allowed_routes is null and form is untouched", async () => { + const onSubmitMock = vi.fn().mockResolvedValue(undefined); + const keyDataNullRoutes = { + ...MOCK_KEY_DATA, + allowed_routes: null as unknown as string[], + }; + renderWithProviders( + {}} + onSubmit={onSubmitMock} + accessToken={"test-token"} + userID={"test-user"} + userRole={"admin"} + premiumUser={false} + />, + ); + + await waitFor(() => { + expect(screen.getByRole("button", { name: /save changes/i })).toBeInTheDocument(); + }); + + const submitButton = screen.getByRole("button", { name: /save changes/i }); + await userEvent.click(submitButton); + + await waitFor(() => { + expect(onSubmitMock).toHaveBeenCalled(); + const callArgs = onSubmitMock.mock.calls[0][0]; + expect("allowed_routes" in callArgs).toBe(false); + }); + }); + + it("should omit allowed_routes from submit when server returned routes in a different order", async () => { + const onSubmitMock = vi.fn().mockResolvedValue(undefined); + const keyDataReordered = { + ...MOCK_KEY_DATA, + allowed_routes: ["beta_routes", "alpha_routes"], + }; + renderWithProviders( + {}} + onSubmit={onSubmitMock} + accessToken={"test-token"} + userID={"test-user"} + userRole={"admin"} + premiumUser={false} + />, + ); + + await waitFor(() => { + expect(screen.getByRole("button", { name: /save changes/i })).toBeInTheDocument(); + }); + + const submitButton = screen.getByRole("button", { name: /save changes/i }); + await userEvent.click(submitButton); + + await waitFor(() => { + expect(onSubmitMock).toHaveBeenCalled(); + const callArgs = onSubmitMock.mock.calls[0][0]; + expect("allowed_routes" in callArgs).toBe(false); + }); + }); it("should pass access_group_ids to onSubmit when saving key with access groups", async () => { const onSubmitMock = vi.fn().mockResolvedValue(undefined); @@ -554,7 +653,7 @@ describe("KeyEditView", () => { renderWithProviders( { }} + onCancel={() => {}} onSubmit={onSubmitMock} accessToken={"test-token"} userID={"test-user"} @@ -576,10 +675,13 @@ describe("KeyEditView", () => { }); // Wait for the cancel button to actually be disabled (state update may take a moment) - await waitFor(() => { - const cancelButton = screen.getByRole("button", { name: /cancel/i }); - expect(cancelButton).toBeDisabled(); - }, { timeout: 3000 }); + await waitFor( + () => { + const cancelButton = screen.getByRole("button", { name: /cancel/i }); + expect(cancelButton).toBeDisabled(); + }, + { timeout: 3000 }, + ); // Clean up: resolve the promise to allow the form to complete if (resolveSubmit) { diff --git a/ui/litellm-dashboard/src/components/templates/key_edit_view.tsx b/ui/litellm-dashboard/src/components/templates/key_edit_view.tsx index 9b38d930a50..d5e410029a7 100644 --- a/ui/litellm-dashboard/src/components/templates/key_edit_view.tsx +++ b/ui/litellm-dashboard/src/components/templates/key_edit_view.tsx @@ -78,7 +78,6 @@ const getKeyTypeFromRoutes = (allowedRoutes: string[] | null | undefined): strin return "default"; }; - export function KeyEditView({ keyData, onCancel, @@ -106,7 +105,7 @@ export function KeyEditView({ const [neverExpire, setNeverExpire] = useState(!keyData.expires); const [isKeySaving, setIsKeySaving] = useState(false); const [budgetLimits, setBudgetLimits] = useState( - Array.isArray(keyData.budget_limits) ? keyData.budget_limits : [] + Array.isArray(keyData.budget_limits) ? keyData.budget_limits : [], ); const { data: organizations, isLoading: isOrganizationsLoading } = useOrganizations(); const { data: projects } = useProjects(); @@ -116,9 +115,7 @@ export function KeyEditView({ const projectDisplay = (() => { if (!keyData.project_id) return null; const project = projects?.find((p) => p.project_id === keyData.project_id); - return project?.project_alias - ? `${project.project_alias} (${keyData.project_id})` - : keyData.project_id; + return project?.project_alias ? `${project.project_alias} (${keyData.project_id})` : keyData.project_id; })(); useEffect(() => { @@ -198,9 +195,10 @@ export function KeyEditView({ access_group_ids: keyData.access_group_ids || [], auto_rotate: keyData.auto_rotate || false, ...(keyData.rotation_interval && { rotation_interval: keyData.rotation_interval }), - allowed_routes: Array.isArray(keyData.allowed_routes) && keyData.allowed_routes.length > 0 - ? keyData.allowed_routes.join(", ") - : "", + allowed_routes: + Array.isArray(keyData.allowed_routes) && keyData.allowed_routes.length > 0 + ? keyData.allowed_routes.join(", ") + : "", }; useEffect(() => { @@ -226,9 +224,10 @@ export function KeyEditView({ access_group_ids: keyData.access_group_ids || [], auto_rotate: keyData.auto_rotate || false, ...(keyData.rotation_interval && { rotation_interval: keyData.rotation_interval }), - allowed_routes: Array.isArray(keyData.allowed_routes) && keyData.allowed_routes.length > 0 - ? keyData.allowed_routes.join(", ") - : "", + allowed_routes: + Array.isArray(keyData.allowed_routes) && keyData.allowed_routes.length > 0 + ? keyData.allowed_routes.join(", ") + : "", }); }, [keyData, form]); @@ -275,12 +274,25 @@ export function KeyEditView({ } // If it's already an array (shouldn't happen, but handle it), keep as is + // Backend rejects non-empty allowed_routes from non-admins, so re-sending + // an unchanged value 403s a team admin. Set compare tolerates reorder. + const originalRoutesSet = new Set(Array.isArray(keyData.allowed_routes) ? keyData.allowed_routes : []); + const submittedRoutesSet = new Set(Array.isArray(values.allowed_routes) ? values.allowed_routes : []); + const allowedRoutesUnchanged = + originalRoutesSet.size === submittedRoutesSet.size && + [...submittedRoutesSet].every((r) => originalRoutesSet.has(r)); + if (allowedRoutesUnchanged) { + delete values.allowed_routes; + } + if (neverExpire) { values.duration = null; } // Include multi-window budget limits (filter out incomplete entries) - const validWindows = budgetLimits.filter((w) => w.budget_duration && w.max_budget !== null && w.max_budget !== undefined); + const validWindows = budgetLimits.filter( + (w) => w.budget_duration && w.max_budget !== null && w.max_budget !== undefined, + ); values.budget_limits = validWindows.length > 0 ? validWindows : undefined; await onSubmit(values); @@ -305,9 +317,13 @@ export function KeyEditView({ {({ getFieldValue, setFieldValue }) => { const allowedRoutesValue = getFieldValue("allowed_routes") || ""; // Convert string to array for checking - const allowedRoutes = typeof allowedRoutesValue === "string" && allowedRoutesValue.trim() !== "" - ? allowedRoutesValue.split(",").map((r: string) => r.trim()).filter((r: string) => r.length > 0) - : []; + const allowedRoutes = + typeof allowedRoutesValue === "string" && allowedRoutesValue.trim() !== "" + ? allowedRoutesValue + .split(",") + .map((r: string) => r.trim()) + .filter((r: string) => r.length > 0) + : []; const isDisabled = allowedRoutes.includes("management_routes") || allowedRoutes.includes("info_routes"); const models = getFieldValue("models") || []; @@ -348,9 +364,13 @@ export function KeyEditView({ {({ getFieldValue, setFieldValue }) => { const allowedRoutesValue = getFieldValue("allowed_routes") || ""; // Convert string to array for getKeyTypeFromRoutes - const allowedRoutes = typeof allowedRoutesValue === "string" && allowedRoutesValue.trim() !== "" - ? allowedRoutesValue.split(",").map((r: string) => r.trim()).filter((r: string) => r.length > 0) - : []; + const allowedRoutes = + typeof allowedRoutesValue === "string" && allowedRoutesValue.trim() !== "" + ? allowedRoutesValue + .split(",") + .map((r: string) => r.trim()) + .filter((r: string) => r.length > 0) + : []; const keyTypeValue = getKeyTypeFromRoutes(allowedRoutes); return ( @@ -415,9 +435,7 @@ export function KeyEditView({ } name="allowed_routes" > - + @@ -442,10 +460,7 @@ export function KeyEditView({ } > - + @@ -579,7 +594,7 @@ export function KeyEditView({ !premiumUser ? "Premium feature - Upgrade to set allowed pass through routes by key" : Array.isArray(keyData.metadata?.allowed_passthrough_routes) && - keyData.metadata.allowed_passthrough_routes.length > 0 + keyData.metadata.allowed_passthrough_routes.length > 0 ? `Current: ${keyData.metadata.allowed_passthrough_routes.join(", ")}` : "Select or enter allowed pass through routes" } @@ -690,14 +705,13 @@ export function KeyEditView({ return team.team_alias?.toLowerCase().includes(input.toLowerCase()) ?? false; }} > - {(selectedOrganizationId - ? teams?.filter((t) => t.organization_id === selectedOrganizationId) - : teams - )?.map((team) => ( - - {`${team.team_alias} (${team.team_id})`} - - ))} + {(selectedOrganizationId ? teams?.filter((t) => t.organization_id === selectedOrganizationId) : teams)?.map( + (team) => ( + + {`${team.team_alias} (${team.team_id})`} + + ), + )} {enableProjectsUI && hasProject && ( diff --git a/ui/litellm-dashboard/src/components/templates/key_info_view.tsx b/ui/litellm-dashboard/src/components/templates/key_info_view.tsx index 492e43cbc81..f8897780090 100644 --- a/ui/litellm-dashboard/src/components/templates/key_info_view.tsx +++ b/ui/litellm-dashboard/src/components/templates/key_info_view.tsx @@ -396,17 +396,23 @@ export default function KeyInfoView({ }; return ( -
+
setIsRegenerateModalOpen(true)} @@ -614,7 +620,7 @@ export default function KeyInfoView({ {/* Settings Panel */} - +
Key Settings {!isEditing && canModifyKey && ( diff --git a/ui/litellm-dashboard/src/components/vector_store_management/VectorStoreForm.tsx b/ui/litellm-dashboard/src/components/vector_store_management/VectorStoreForm.tsx index 18b5bd87d14..673061b275d 100644 --- a/ui/litellm-dashboard/src/components/vector_store_management/VectorStoreForm.tsx +++ b/ui/litellm-dashboard/src/components/vector_store_management/VectorStoreForm.tsx @@ -209,6 +209,38 @@ const VectorStoreForm: React.FC = ({ /> )} + {/* Vertex AI Search Setup Instructions */} + {selectedProvider === "vertex_ai/search_api" && ( + +

To use Vertex AI Search (Discovery Engine):

+
    +
  1. + Enable the Discovery Engine API on your Google Cloud project and create a data store following the + guide:{" "} + + Create a Vertex AI Search data store + +
    2. +
  2. Pick a supported location: global, us, or eu
    3. +
  3. Copy the data store ID from the Vertex AI Search console
    4. +
  4. Enter the data store ID in the Vector Store ID field below
    5. +
+
+ } + type="info" + showIcon + style={{ marginBottom: "16px" }} + /> + )} + @@ -225,7 +257,9 @@ const VectorStoreForm: React.FC = ({ placeholder={ selectedProvider === "vertex_rag_engine" ? "6917529027641081856 (Get corpus ID from Vertex AI console)" - : "Enter vector store ID from your provider" + : selectedProvider === "vertex_ai/search_api" + ? "my-datastore_1234567890 (Get data store ID from Vertex AI Search console)" + : "Enter vector store ID from your provider" } /> @@ -233,12 +267,14 @@ const VectorStoreForm: React.FC = ({ {/* Provider-specific fields */} {getProviderSpecificFields(selectedProvider).map((field: VectorStoreFieldConfig) => { if (field.type === "select") { - const embeddingModels = modelInfo - .filter((option: ModelGroup) => option.mode === "embedding" || option.mode === null) - .map((option: ModelGroup) => ({ - value: option.model_group, - label: option.model_group, - })); + const selectOptions = + field.options ?? + modelInfo + .filter((option: ModelGroup) => option.mode === "embedding" || option.mode === null) + .map((option: ModelGroup) => ({ + value: option.model_group, + label: option.model_group, + })); return ( = ({ } name={field.name} + initialValue={field.initialValue} rules={ field.required ? [{ required: true, message: `Please select the ${field.label.toLowerCase()}` }] : [] } @@ -260,7 +297,7 @@ const VectorStoreForm: React.FC = ({ placeholder={field.placeholder} showSearch={true} filterOption={(input, option) => (option?.label ?? "").toLowerCase().includes(input.toLowerCase())} - options={embeddingModels} + options={selectOptions} style={{ width: "100%" }} /> diff --git a/ui/litellm-dashboard/src/components/vector_store_providers.tsx b/ui/litellm-dashboard/src/components/vector_store_providers.tsx index 9efda3a5a71..c5bdf1d5c2a 100644 --- a/ui/litellm-dashboard/src/components/vector_store_providers.tsx +++ b/ui/litellm-dashboard/src/components/vector_store_providers.tsx @@ -3,6 +3,7 @@ export enum VectorStoreProviders { S3Vectors = "Amazon S3 Vectors", PgVector = "PostgreSQL pgvector (LiteLLM Connector)", VertexRagEngine = "Vertex AI RAG Engine", + VertexAiSearch = "Vertex AI Search", OpenAI = "OpenAI", Azure = "Azure OpenAI", Milvus = "Milvus", @@ -12,6 +13,7 @@ export const vectorStoreProviderMap: Record = { Bedrock: "bedrock", PgVector: "pg_vector", VertexRagEngine: "vertex_ai", + VertexAiSearch: "vertex_ai/search_api", OpenAI: "openai", Azure: "azure", Milvus: "milvus", @@ -24,6 +26,7 @@ export const vectorStoreProviderLogoMap: Record = { [VectorStoreProviders.Bedrock]: `${asset_logos_folder}bedrock.svg`, [VectorStoreProviders.PgVector]: `${asset_logos_folder}postgresql.svg`, // Fallback to a generic database icon if needed [VectorStoreProviders.VertexRagEngine]: `${asset_logos_folder}google.svg`, + [VectorStoreProviders.VertexAiSearch]: `${asset_logos_folder}google.svg`, [VectorStoreProviders.OpenAI]: `${asset_logos_folder}openai_small.svg`, [VectorStoreProviders.Azure]: `${asset_logos_folder}microsoft_azure.svg`, [VectorStoreProviders.Milvus]: `${asset_logos_folder}milvus.svg`, @@ -38,6 +41,8 @@ export interface VectorStoreFieldConfig { placeholder?: string; required: boolean; type?: "text" | "password" | "select"; + options?: { value: string; label: string }[]; + initialValue?: string; } // Provider-specific field configurations @@ -62,6 +67,37 @@ export const vectorStoreProviderFields: Record }, ], vertex_rag_engine: [], + "vertex_ai/search_api": [ + { + name: "vertex_project", + label: "Vertex Project", + tooltip: "Google Cloud project ID that hosts the Vertex AI Search data store.", + placeholder: "my-gcp-project-id", + required: true, + type: "text", + }, + { + name: "vertex_location", + label: "Vertex Location", + tooltip: "Vertex AI Search data store location. Must be one of global, us, or eu.", + required: true, + type: "select", + options: [ + { value: "global", label: "global" }, + { value: "us", label: "us" }, + { value: "eu", label: "eu" }, + ], + initialValue: "global", + }, + { + name: "vertex_collection_id", + label: "Collection ID (optional)", + tooltip: "Discovery Engine collection ID. Leave blank to use the default collection.", + placeholder: "e.g. my-custom-collection", + required: false, + type: "text", + }, + ], openai: [ { name: "api_key", diff --git a/ui/litellm-dashboard/src/components/view_logs/constants.ts b/ui/litellm-dashboard/src/components/view_logs/constants.ts index 57155feae23..5b0b1d0fee3 100644 --- a/ui/litellm-dashboard/src/components/view_logs/constants.ts +++ b/ui/litellm-dashboard/src/components/view_logs/constants.ts @@ -19,6 +19,7 @@ export const MCP_CALL_TYPES = ["call_mcp_tool", "list_mcp_tools"]; export const AGENT_CALL_TYPES = ["asend_message"]; export const QUICK_SELECT_OPTIONS: { label: string; value: number; unit: string }[] = [ + { label: "Last Minute", value: 1, unit: "minutes" }, { label: "Last 15 Minutes", value: 15, unit: "minutes" }, { label: "Last Hour", value: 1, unit: "hours" }, { label: "Last 4 Hours", value: 4, unit: "hours" }, diff --git a/ui/litellm-dashboard/src/components/view_logs/index.test.tsx b/ui/litellm-dashboard/src/components/view_logs/index.test.tsx index 937844e1c1d..7a9a541d3e0 100644 --- a/ui/litellm-dashboard/src/components/view_logs/index.test.tsx +++ b/ui/litellm-dashboard/src/components/view_logs/index.test.tsx @@ -1,10 +1,12 @@ import { render, screen, waitFor } from "@testing-library/react"; import userEvent from "@testing-library/user-event"; +import moment from "moment"; import { beforeEach, describe, expect, it, vi } from "vitest"; import SpendLogsTable, { RequestViewer } from "./index"; import type { LogEntry } from "./columns"; import type { Row } from "@tanstack/react-table"; import { renderWithProviders } from "../../../tests/test-utils"; +import { uiSpendLogsCall } from "../networking"; const mockHandleFilterResetFromHook = vi.fn(); vi.mock("./log_filter_logic", async (importOriginal) => { @@ -238,4 +240,52 @@ describe("SpendLogsTable", () => { expect(inputsAfterReset.length).toBe(0); }); }); + + describe("Quick Select time range", () => { + const waitForWindowSeconds = async (minMinutes: number) => { + let diff = -1; + await waitFor(() => { + const lastCall = vi.mocked(uiSpendLogsCall).mock.calls.at(-1)?.[0]; + if (!lastCall) throw new Error("uiSpendLogsCall was not called"); + diff = moment + .utc(lastCall.end_date, "YYYY-MM-DD HH:mm:ss") + .diff(moment.utc(lastCall.start_date, "YYYY-MM-DD HH:mm:ss"), "seconds"); + // start_date is rounded down to the minute boundary; end_date is current time + expect(diff).toBeGreaterThanOrEqual(minMinutes * 60); + expect(diff).toBeLessThan((minMinutes + 1) * 60); + }); + return diff; + }; + + it("should pass a ~1-minute window to uiSpendLogsCall when 'Last Minute' is selected", async () => { + const user = userEvent.setup(); + renderWithProviders(); + + await user.click(screen.getByRole("button", { name: /Last 24 Hours/i })); + await user.click(await screen.findByRole("button", { name: "Last Minute" })); + + await waitForWindowSeconds(1); + }); + + it("should pass a ~15-minute window to uiSpendLogsCall when 'Last 15 Minutes' is selected", async () => { + const user = userEvent.setup(); + renderWithProviders(); + + await user.click(screen.getByRole("button", { name: /Last 24 Hours/i })); + await user.click(await screen.findByRole("button", { name: "Last 15 Minutes" })); + + await waitForWindowSeconds(15); + }); + + it("should update the time-range button label to 'Last Minute' after selecting it", async () => { + const user = userEvent.setup(); + renderWithProviders(); + + await user.click(screen.getByRole("button", { name: /Last 24 Hours/i })); + await user.click(await screen.findByRole("button", { name: "Last Minute" })); + + expect(screen.getByRole("button", { name: "Last Minute" })).toBeInTheDocument(); + expect(screen.queryByRole("button", { name: /Last 24 Hours/i })).not.toBeInTheDocument(); + }); + }); }); diff --git a/ui/litellm-dashboard/src/utils/roles.ts b/ui/litellm-dashboard/src/utils/roles.ts index 11e31fd369c..bb23985d7c2 100644 --- a/ui/litellm-dashboard/src/utils/roles.ts +++ b/ui/litellm-dashboard/src/utils/roles.ts @@ -5,7 +5,7 @@ export const old_admin_roles = ["Admin", "Admin Viewer"]; export const v2_admin_role_names = ["proxy_admin", "proxy_admin_viewer", "org_admin"]; export const all_admin_roles = [...old_admin_roles, ...v2_admin_role_names]; -export const internalUserRoles = ["Internal User", "Internal Viewer"]; +export const internalUserRoles = ["Internal User", "Internal Viewer", "internal_user", "internal_user_viewer"]; export const rolesAllowedToSeeUsage = ["Admin", "Admin Viewer", "Internal User", "Internal Viewer"]; export const rolesWithWriteAccess = ["Internal User", "Admin", "proxy_admin"]; // Admin-tier read parity: Admin Viewer sees Models + Endpoints, Agents, and