mirror of
https://github.com/BerriAI/litellm.git
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f59cb46e71
* fix(__init__.py): add 'watsonx_text' as mapped llm api route Fixes https://github.com/BerriAI/litellm/issues/6663 * fix(opentelemetry.py): fix passing parallel tool calls to otel Fixes https://github.com/BerriAI/litellm/issues/6677 * refactor(test_opentelemetry_unit_tests.py): create a base set of unit tests for all logging integrations - test for parallel tool call handling reduces bugs in repo * fix(__init__.py): update provider-model mapping to include all known provider-model mappings Fixes https://github.com/BerriAI/litellm/issues/6669 * feat(anthropic): support passing document in llm api call * docs(anthropic.md): add pdf anthropic call to docs + expose new 'supports_pdf_input' function * fix(factory.py): fix linting error
100 lines
3.4 KiB
Python
100 lines
3.4 KiB
Python
import asyncio
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import httpx
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import json
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import pytest
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import sys
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from typing import Any, Dict, List
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from unittest.mock import MagicMock, Mock, patch
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import os
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sys.path.insert(
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0, os.path.abspath("../..")
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) # Adds the parent directory to the system path
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import litellm
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from litellm.exceptions import BadRequestError
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from litellm.llms.custom_httpx.http_handler import AsyncHTTPHandler, HTTPHandler
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from litellm.utils import CustomStreamWrapper
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from litellm.types.utils import ModelResponse
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# test_example.py
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from abc import ABC, abstractmethod
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class BaseLoggingCallbackTest(ABC):
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"""
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Abstract base test class that enforces a common test across all test classes.
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"""
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@pytest.fixture
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def mock_response_obj(self):
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from litellm.types.utils import (
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ModelResponse,
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Choices,
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Message,
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ChatCompletionMessageToolCall,
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Function,
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Usage,
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CompletionTokensDetailsWrapper,
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PromptTokensDetailsWrapper,
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)
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# Create a mock response object with the structure you need
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return ModelResponse(
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id="chatcmpl-ASId3YJWagBpBskWfoNEMPFSkmrEw",
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created=1731308157,
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model="gpt-4o-mini-2024-07-18",
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object="chat.completion",
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system_fingerprint="fp_0ba0d124f1",
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choices=[
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Choices(
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finish_reason="tool_calls",
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index=0,
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message=Message(
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content=None,
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role="assistant",
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tool_calls=[
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ChatCompletionMessageToolCall(
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function=Function(
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arguments='{"city": "New York"}', name="get_weather"
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),
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id="call_PngsQS5YGmIZKnswhnUOnOVb",
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type="function",
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),
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ChatCompletionMessageToolCall(
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function=Function(
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arguments='{"city": "New York"}', name="get_news"
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),
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id="call_1zsDThBu0VSK7KuY7eCcJBnq",
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type="function",
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),
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],
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function_call=None,
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),
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)
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],
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usage=Usage(
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completion_tokens=46,
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prompt_tokens=86,
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total_tokens=132,
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completion_tokens_details=CompletionTokensDetailsWrapper(
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accepted_prediction_tokens=0,
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audio_tokens=0,
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reasoning_tokens=0,
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rejected_prediction_tokens=0,
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text_tokens=None,
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),
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prompt_tokens_details=PromptTokensDetailsWrapper(
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audio_tokens=0, cached_tokens=0, text_tokens=None, image_tokens=None
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),
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),
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service_tier=None,
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)
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@abstractmethod
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def test_parallel_tool_calls(self, mock_response_obj: ModelResponse):
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"""
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Check if parallel tool calls are correctly logged by Logging callback
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Relevant issue - https://github.com/BerriAI/litellm/issues/6677
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"""
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pass
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