mirror of
https://github.com/BerriAI/litellm.git
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* fix(bedrock): use native structured output on every Claude model whose Bedrock profiles accept it Bedrock accepts outputConfig structured output on every reachable profile of Claude Opus 4.7, 4.8, 5, 5.5, Sonnet 5, 5.5, Haiku 5.5, and Fable 5.1, so json_schema now goes out natively there instead of as a forced tool, which kept Bedrock from returning adaptive thinking. Fable 5 rejects outputConfig, so its keys go back to the tool path. GovCloud keys keep their flags, and the drift tests let GovCloud lag its commercial base but never lead it. * fix(bedrock): clean Claude schemas for native structured output and keep recursive schemas on the old path Bedrock native output rejects minimum/maximum, minItems, uniqueItems, oneOf, additionalProperties true, and recursive or unresolved $ref, all of which the forced tool accepted. Claude schemas on the Bedrock native paths now go through the cleaner the Anthropic native path already uses, and a schema with a recursive or unresolved $ref keeps the forced tool, inline, or drop path it had. * fix(bedrock): keep older installs on the json tool with a Bedrock-only native output key Older installs fetch the model map from main, so flipping supports_native_structured_output moved them onto native output with their old schema handling. The new supports_bedrock_native_structured_output key is ignored by older code. Schemas native output cannot hold (recursive refs, open objects such as dict fields) keep the json tool on the new key, models on the old key keep their current behavior for those shapes, and the Anthropic API, Vertex AI, and Azure keep their current behavior. * chore(cost-map): regenerate the model prices schema for the Bedrock native output key * fix(bedrock): keep native output to profiles every account accepts and route schemas Bedrock rejects to the json tool Only Opus 5.5, Sonnet 5.5, Haiku 5.5 and Fable 5.1 keep the Bedrock native output key, since Opus 4.8 and Sonnet 5 answer 400 on some accounts and Opus 5 garbles escaped characters. Lookaround patterns and string formats outside Bedrock's list now keep the json tool, objects typed as a union with null are closed, and the cleaner keeps minItems of 0 or 1. * fix(bedrock): keep Opus 5.5 and Fable 5.1 on the json tool, since native output stops their adaptive thinking * fix(bedrock): keep shared $defs in native schemas and send refused schemas to the json tool on every native model Native output now keeps $defs instead of inlining each use, so a submodel reused across a schema counts once against Bedrock's optional and union limits. Schemas native output cannot hold use the json tool on Converse and Invoke chat for both native keys, and minItems is only kept when it is an integer 0 or 1 * fix(bedrock): keep the json tool unless thinking is requested and bound native output schemas The Bedrock native output key now applies only when the call asks for thinking, so calls without thinking keep the json tool as before. Schemas past Bedrock's documented union and optional counts, or past a grammar size estimate fitted to live probes, keep the json tool on both map keys. Open objects keep the json tool on the Anthropic API, Vertex AI and Azure AI, where native output returned them empty. The $ref check no longer expands $defs, so doubling definitions no longer stall the request. * fix(bedrock): resolve root-path $defs refs so nested Pydantic models keep native output on Invoke * test(bedrock): cover native structured output and json tool routing through the proxy Integration cells drive the proxy against a scripted Bedrock peer that enforces Bedrock's structured output schema rules, covering thinking with native output on Converse, Converse streaming, Invoke, /v1/responses and /v1/messages, the deployment opt-in, Fable 5, schema cleaning on every native entry, open objects, and malformed schemas. Vertex, Anthropic and Azure AI cells cover open objects on native-capable models and the cleaner's minItems and nullable object handling. The unit table now covers reasoning_effort none and disabled thinking * fix(bedrock): keep native output for numeric formats and wide old-key schemas, and keep thinking in json mode Check string formats only on nodes that can be strings, apply the 64-field cap only to the Bedrock-only key, carry thinking blocks into the json mode message, and send malformed json tool schemas as object schemas. * fix(anthropic): keep native output for dict fields unless the json tool can be forced * fix(anthropic): keep native output for dict fields when the caller sends tools * test(bedrock): close the dangerous-tool-use test schema, since Bedrock native output requires closed objects * test(anthropic): cover forced and unforced open-object routing, json mode thinking, numeric formats and wide schemas Add proxy cells for open-object schemas that keep native output when the json tool cannot be forced (a model that refuses forced tools on the Anthropic API and Vertex AI, thinking, caller tools), for the thinking block a json mode answer keeps on Vertex AI and Bedrock Invoke, and for integer and number formats and 65-field schemas on each Bedrock map key. Point the forced open-object cells at the Anthropic API and Azure AI only, since no Vertex AI model in the cost map takes both native output and a forced tool * fix(bedrock): keep the native output opt-in on the deployment that sets it, and route effort none open objects to native output * test(bedrock): cover deployment-scoped native output opt-in, register_model and effort none open objects
409 lines
15 KiB
Python
409 lines
15 KiB
Python
import asyncio
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import base64
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import importlib
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import os
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from collections.abc import Callable, Coroutine, Iterator
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from dataclasses import dataclass, field
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from pathlib import Path
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from types import MappingProxyType
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from typing import Final, Literal, TypeAlias
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import boto3
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import httpx
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import pytest
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from pytest_socket import enable_socket, socket_allow_hosts
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HOST_ENVIRONMENT_ALLOWLIST: Final = frozenset(
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(
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"PATH",
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"HOME",
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"USER",
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"LOGNAME",
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"TMPDIR",
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"TEMP",
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"TMP",
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"LANG",
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"LC_ALL",
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"LC_CTYPE",
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"TZ",
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"VIRTUAL_ENV",
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"LITELLM_LOCAL_MODEL_COST_MAP",
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"TIKTOKEN_CACHE_DIR",
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)
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)
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HOST_ENVIRONMENT_ALLOWED_PREFIXES: Final = ("PYTEST_", "PYTHON", "COV_CORE_", "COVERAGE_")
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HOST_ONLY_ENVIRONMENT: Final = frozenset(
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name
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for name in os.environ
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if name not in HOST_ENVIRONMENT_ALLOWLIST and not name.startswith(HOST_ENVIRONMENT_ALLOWED_PREFIXES)
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)
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os.environ["PYTHON_DOTENV_DISABLED"] = "1"
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os.environ["LITELLM_LOCAL_MODEL_COST_MAP"] = "True"
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import litellm # noqa: E402 # litellm reads LITELLM_LOCAL_MODEL_COST_MAP at import
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import litellm.router as litellm_router_module # noqa: E402 # same import-time dependency
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import litellm.utils as litellm_utils_module # noqa: E402 # same import-time dependency
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from litellm._logging import ALL_LOGGERS # noqa: E402 # same import-time dependency
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from litellm.litellm_core_utils.logging_worker import GLOBAL_LOGGING_WORKER # noqa: E402 # same import-time dependency
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from litellm.anthropic_beta_headers_manager import reload_beta_headers_config # noqa: E402 # same import-time dependency
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from litellm.litellm_core_utils.prompt_templates import factory as prompt_factory_module # noqa: E402 # same import-time dependency
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from litellm.litellm_core_utils.prompt_templates import ( # noqa: E402 # same import-time dependency
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image_handling as image_handling_module,
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)
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from litellm.llms.gemini.chat import transformation as gemini_chat_transformation_module # noqa: E402 # same import-time dependency
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from litellm.llms.custom_httpx.async_client_cleanup import ( # noqa: E402 # same import-time dependency
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close_litellm_async_clients,
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)
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from litellm.proxy.db import tool_registry_writer as tool_registry_writer_module # noqa: E402 # same import-time dependency
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LOOPBACK_HOSTS: Final = ["127.0.0.1", "::1", "localhost"]
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AMBIENT_AZURE_CREDENTIAL_ENV_VARS: Final = (
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"AZURE_AD_TOKEN",
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"AZURE_TENANT_ID",
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"AZURE_CLIENT_ID",
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"AZURE_CLIENT_SECRET",
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"AZURE_USERNAME",
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"AZURE_PASSWORD",
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)
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AMBIENT_AWS_ENV_VARS: Final = (
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"AWS_PROFILE",
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"AWS_DEFAULT_PROFILE",
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"AWS_CONTAINER_CREDENTIALS_FULL_URI",
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"AWS_CONTAINER_CREDENTIALS_RELATIVE_URI",
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"AWS_SESSION_TOKEN",
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"AWS_ROLE_ARN",
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"AWS_WEB_IDENTITY_TOKEN_FILE",
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"AWS_BEARER_TOKEN_BEDROCK",
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"AWS_REGION_NAME",
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"AWS_DEFAULT_REGION",
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)
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MODULES_WITH_AWS_AUTH_HANDLERS: Final = (
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"litellm.main",
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"litellm.files.main",
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"litellm.rerank_api.main",
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"litellm.realtime_api.main",
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)
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CALLBACK_LISTS: Final = (
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"callbacks",
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"success_callback",
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"failure_callback",
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"input_callback",
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"_async_success_callback",
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"_async_failure_callback",
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"_async_input_callback",
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)
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RESET_TO_NONE_GLOBALS: Final = ("model_fallbacks", "cache")
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RESTORED_GLOBALS: Final = (
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"disable_aiohttp_transport",
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"force_ipv4",
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"drop_params",
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"secret_manager_client",
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"_key_management_system",
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"_key_management_settings",
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"api_base",
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"num_retries",
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"modify_params",
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"ssl_verify",
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"credential_list",
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"model_group_settings",
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"default_internal_user_params",
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"default_team_params",
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"prometheus_emit_stream_label",
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"vector_store_registry",
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"model_cost",
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"cost_margin_config",
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"cost_discount_config",
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"disable_hf_tokenizer_download",
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"disable_copilot_system_to_assistant",
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"cohere_models",
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"anthropic_models",
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"token_counter",
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"initialized_langfuse_clients",
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)
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MODULE_LEVEL_CLIENTS: Final = ("module_level_client", "module_level_aclient")
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SESSION_CLIENTS: Final = ("base_llm_aiohttp_handler", "httpx_client", "aclient", "client")
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ONE_PIXEL_PNG: Final = base64.b64decode(
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"iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAADUlEQVR42mNkYPhfDwAChwGA60e6kgAAAABJRU5ErkJggg=="
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)
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def _allow_loopback_only() -> None:
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socket_allow_hosts(LOOPBACK_HOSTS, allow_unix_socket=True)
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_allow_loopback_only()
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def pytest_collectstart() -> None:
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_allow_loopback_only()
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@pytest.hookimpl(trylast=True)
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def pytest_runtest_setup() -> None:
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_allow_loopback_only()
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def _run_coroutine_if_needed(result: object) -> None:
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if not asyncio.iscoroutine(result):
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return
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coroutine: Final[Coroutine[object, object, object]] = result
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try:
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asyncio.run(coroutine)
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except RuntimeError:
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try:
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loop: Final = asyncio.get_running_loop()
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except RuntimeError:
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coroutine.close()
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return
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loop.create_task(coroutine)
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async def _complete_test_logging() -> None:
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await GLOBAL_LOGGING_WORKER.flush()
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await GLOBAL_LOGGING_WORKER.stop()
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def _flush_completed_test_logging() -> None:
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queue: Final = GLOBAL_LOGGING_WORKER._queue
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if queue is None or queue._unfinished_tasks == 0:
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return
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worker_loop: Final = GLOBAL_LOGGING_WORKER._bound_loop
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if worker_loop is None or worker_loop.is_closed():
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_run_coroutine_if_needed(_complete_test_logging())
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return
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if worker_loop.is_running():
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asyncio.run_coroutine_threadsafe(_complete_test_logging(), worker_loop).result()
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return
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worker_loop.run_until_complete(_complete_test_logging())
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@pytest.hookimpl(hookwrapper=True)
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def pytest_runtest_call() -> Iterator[None]:
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yield
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_flush_completed_test_logging()
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def _close_handler_if_needed(handler: object) -> None:
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close: Final = getattr(handler, "close", None)
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if not callable(close):
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return
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_run_coroutine_if_needed(close())
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def _reset_aws_auth_caches() -> None:
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modules: Final = tuple(importlib.import_module(name) for name in MODULES_WITH_AWS_AUTH_HANDLERS)
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flushes: Final = (
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getattr(getattr(getattr(module, attr_name), "iam_cache", None), "flush_cache", None)
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for module in modules
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for attr_name in dir(module)
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)
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for flush in filter(callable, flushes):
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flush()
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boto3.DEFAULT_SESSION = None
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def _flush_client_caches() -> None:
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litellm.in_memory_llm_clients_cache.flush_cache()
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image_handling_module.in_memory_cache.flush_cache()
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_reset_aws_auth_caches()
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@pytest.fixture(autouse=True, scope="session")
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def bundled_tiktoken_cache() -> None:
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importlib.import_module("litellm.litellm_core_utils.default_encoding")
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@pytest.fixture(scope="session")
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def isolated_aws_config_files(tmp_path_factory: pytest.TempPathFactory) -> tuple[Path, Path]:
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aws_dir: Final = tmp_path_factory.mktemp("aws-config")
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credentials: Final = aws_dir / "credentials"
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config: Final = aws_dir / "config"
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credentials.write_text("", encoding="utf-8")
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config.write_text("", encoding="utf-8")
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return credentials, config
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@pytest.fixture(autouse=True)
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def isolate_host_environment(isolated_aws_config_files: tuple[Path, Path]) -> Iterator[None]:
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credentials, config = isolated_aws_config_files
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with pytest.MonkeyPatch.context() as environment:
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for name in HOST_ONLY_ENVIRONMENT:
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environment.delenv(name, raising=False)
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environment.setenv("AWS_SHARED_CREDENTIALS_FILE", str(credentials))
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environment.setenv("AWS_CONFIG_FILE", str(config))
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environment.setenv("AWS_EC2_METADATA_DISABLED", "true")
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for name in AMBIENT_AWS_ENV_VARS:
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environment.delenv(name, raising=False)
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for name in ("PROXY_BASE_URL", "SERVER_ROOT_PATH", "SERVER_ROOT_PATHS", "LITELLM_LOG"):
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environment.delenv(name, raising=False)
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environment.setenv("LITELLM_CLI_DISABLE_KEYRING", "1")
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yield
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@pytest.fixture(autouse=True)
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def isolate_litellm_globals() -> Iterator[None]:
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original_callbacks: Final = {name: list(getattr(litellm, name) or []) for name in CALLBACK_LISTS}
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original_reset: Final = {name: getattr(litellm, name) for name in RESET_TO_NONE_GLOBALS}
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original_restored: Final = {name: getattr(litellm, name) for name in RESTORED_GLOBALS if hasattr(litellm, name)}
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original_clients: Final = {name: litellm.__dict__[name] for name in MODULE_LEVEL_CLIENTS if name in litellm.__dict__}
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original_loggers: Final = {
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logger: (logger.level, logger.disabled, logger.propagate, list(logger.handlers), list(logger.filters))
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for logger in ALL_LOGGERS
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}
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original_tool_policy_registry: Final = tool_registry_writer_module._tool_policy_registry
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_flush_client_caches()
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for name in CALLBACK_LISTS:
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setattr(litellm, name, [])
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for name in RESET_TO_NONE_GLOBALS:
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setattr(litellm, name, None)
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for name in MODULE_LEVEL_CLIENTS:
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litellm.__dict__.pop(name, None)
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tool_registry_writer_module._tool_policy_registry = None
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yield
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_flush_client_caches()
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leaked_clients: Final = tuple(litellm.__dict__.pop(name, None) for name in MODULE_LEVEL_CLIENTS)
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for name, client in zip(MODULE_LEVEL_CLIENTS, leaked_clients):
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if client is not original_clients.get(name):
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_close_handler_if_needed(client)
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litellm.__dict__.update(original_clients)
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for name, value in (original_callbacks | original_reset | original_restored).items():
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setattr(litellm, name, value)
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for logger, (level, disabled, propagate, handlers, filters) in original_loggers.items():
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logger.setLevel(level)
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logger.disabled = disabled
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logger.propagate = propagate
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logger.handlers = handlers
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logger.filters = filters
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tool_registry_writer_module._tool_policy_registry = original_tool_policy_registry
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@pytest.fixture(autouse=True)
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def isolate_router_model_cost_state() -> Iterator[None]:
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original_live_routers: Final = frozenset(litellm_router_module._live_routers)
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original_runtime_registered_model_cost: Final = {
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model_key: dict(model_value)
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for model_key, model_value in litellm_utils_module._runtime_registered_model_cost.items()
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}
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litellm_utils_module._invalidate_model_cost_lowercase_map()
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litellm_router_module._live_routers.clear()
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litellm_utils_module._runtime_registered_model_cost.clear()
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yield
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for router in tuple(litellm_router_module._live_routers):
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litellm_router_module._live_routers.discard(router)
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for router in original_live_routers:
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litellm_router_module._live_routers.add(router)
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litellm_utils_module._runtime_registered_model_cost.clear()
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litellm_utils_module._runtime_registered_model_cost.update(original_runtime_registered_model_cost)
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litellm_utils_module._invalidate_model_cost_lowercase_map()
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litellm.get_model_info.cache_clear()
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@pytest.fixture
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def local_model_cost_map(monkeypatch: pytest.MonkeyPatch) -> Iterator[None]:
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monkeypatch.setenv("LITELLM_LOCAL_MODEL_COST_MAP", "True")
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monkeypatch.setattr(litellm, "model_cost", litellm.get_model_cost_map(url=""))
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litellm.get_model_info.cache_clear()
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yield
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litellm.get_model_info.cache_clear()
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NativeStructuredOutputKey: TypeAlias = Literal["legacy", "bedrock"] | None
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@pytest.fixture
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def set_native_structured_output(
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local_model_cost_map: None, monkeypatch: pytest.MonkeyPatch
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) -> Callable[[str, NativeStructuredOutputKey], None]:
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def set_flags(model_cost_key: str, native_key: NativeStructuredOutputKey) -> None:
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entry: Final = litellm.model_cost[model_cost_key]
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monkeypatch.setitem(entry, "supports_native_structured_output", native_key == "legacy")
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monkeypatch.setitem(entry, "supports_bedrock_native_structured_output", native_key == "bedrock")
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litellm.get_model_info.cache_clear()
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return set_flags
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@pytest.fixture
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def local_beta_headers_config(monkeypatch: pytest.MonkeyPatch) -> Iterator[None]:
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monkeypatch.setenv("LITELLM_LOCAL_ANTHROPIC_BETA_HEADERS", "True")
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reload_beta_headers_config()
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yield
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monkeypatch.delenv("LITELLM_LOCAL_ANTHROPIC_BETA_HEADERS", raising=False)
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reload_beta_headers_config()
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@dataclass(slots=True)
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class AsyncOnlyImageFetch:
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fetched: list[str] = field(default_factory=list) # mutable-ok: tests assert on the URLs fetched, in order
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base64_png: str = base64.b64encode(ONE_PIXEL_PNG).decode()
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data_url: str = "data:image/png;base64," + base64.b64encode(ONE_PIXEL_PNG).decode()
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@pytest.fixture
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def async_only_image_fetch(monkeypatch: pytest.MonkeyPatch) -> AsyncOnlyImageFetch:
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fetch: Final = AsyncOnlyImageFetch()
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def forbid_sync_fetch(client: object, url: str, **kwargs: object) -> httpx.Response:
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raise litellm.ImageFetchError(f"sync image fetch ran on the event loop: {url}")
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async def serve_png(client: object, url: str, **kwargs: object) -> httpx.Response:
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fetch.fetched.append(url)
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return httpx.Response(
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200, content=ONE_PIXEL_PNG, headers={"content-type": "image/png"}, request=httpx.Request("GET", url)
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)
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def forbid_sync_convert(url: str, *args: object, **kwargs: object) -> str:
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if url.startswith(("http://", "https://")):
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raise litellm.ImageFetchError(f"sync convert_url_to_base64 ran on the request path: {url}")
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return url
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monkeypatch.setattr(image_handling_module, "safe_get", forbid_sync_fetch)
|
|
monkeypatch.setattr(image_handling_module, "async_safe_get", serve_png)
|
|
for module in (image_handling_module, prompt_factory_module, gemini_chat_transformation_module):
|
|
monkeypatch.setattr(module, "convert_url_to_base64", forbid_sync_convert)
|
|
return fetch
|
|
|
|
|
|
@pytest.fixture
|
|
def no_ambient_azure_credentials(monkeypatch: pytest.MonkeyPatch) -> None:
|
|
for name in AMBIENT_AZURE_CREDENTIAL_ENV_VARS:
|
|
monkeypatch.delenv(name, raising=False)
|
|
|
|
|
|
FAKE_PROVIDER_CREDENTIALS: Final = MappingProxyType(
|
|
{
|
|
"OPENAI_API_KEY": "sk-unit-test",
|
|
"ANTHROPIC_API_KEY": "sk-ant-unit-test",
|
|
"GEMINI_API_KEY": "unit-test",
|
|
"AZURE_API_KEY": "unit-test",
|
|
"AZURE_API_BASE": "https://unit-test.openai.azure.com",
|
|
"AZURE_API_VERSION": "2024-02-01",
|
|
"AWS_ACCESS_KEY_ID": "unit-test",
|
|
"AWS_SECRET_ACCESS_KEY": "unit-test",
|
|
"AWS_REGION_NAME": "us-east-1",
|
|
"COHERE_API_KEY": "unit-test",
|
|
"DD_API_KEY": "unit-test",
|
|
"DD_SITE": "us5.datadoghq.com",
|
|
}
|
|
)
|
|
|
|
|
|
@pytest.fixture
|
|
def fake_provider_credentials(monkeypatch: pytest.MonkeyPatch) -> None:
|
|
for name, value in FAKE_PROVIDER_CREDENTIALS.items():
|
|
monkeypatch.setenv(name, value)
|
|
|
|
|
|
@pytest.fixture
|
|
async def drained_logging_worker() -> None:
|
|
await asyncio.wait_for(GLOBAL_LOGGING_WORKER.clear_queue(), timeout=10)
|
|
|
|
|
|
def pytest_sessionfinish() -> None:
|
|
for name in MODULE_LEVEL_CLIENTS:
|
|
_close_handler_if_needed(litellm.__dict__.pop(name, None))
|
|
for name in SESSION_CLIENTS:
|
|
_close_handler_if_needed(getattr(litellm, name, None))
|
|
_run_coroutine_if_needed(close_litellm_async_clients())
|
|
enable_socket()
|