mirror of
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195 lines
8.2 KiB
Python
195 lines
8.2 KiB
Python
import sys, os
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import traceback, uuid
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from dotenv import load_dotenv
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from fastapi import Request
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from fastapi.routing import APIRoute
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load_dotenv()
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import os, io, time
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# this file is to test litellm/proxy
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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 pytest, logging, asyncio
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import litellm, asyncio
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import json
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import datetime
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from litellm.proxy.utils import (
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get_logging_payload,
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SpendLogsPayload,
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SpendLogsMetadata,
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) # noqa: E402
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def test_spend_logs_payload():
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"""
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Ensure only expected values are logged in spend logs payload.
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"""
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input_args: dict = {
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"kwargs": {
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"model": "chatgpt-v-2",
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"messages": [
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{"role": "system", "content": "you are a helpful assistant.\n"},
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{"role": "user", "content": "bom dia"},
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],
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"optional_params": {
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"stream": False,
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"max_tokens": 10,
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"user": "116544810872468347480",
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"extra_body": {},
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},
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"litellm_params": {
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"acompletion": True,
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"api_key": "23c217a5b59f41b6b7a198017f4792f2",
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"force_timeout": 600,
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"logger_fn": None,
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"verbose": False,
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"custom_llm_provider": "azure",
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"api_base": "https://openai-gpt-4-test-v-1.openai.azure.com//openai/",
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"litellm_call_id": "b9929bf6-7b80-4c8c-b486-034e6ac0c8b7",
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"model_alias_map": {},
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"completion_call_id": None,
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"metadata": {
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"user_api_key": "88dc28d0f030c55ed4ab77ed8faf098196cb1c05df778539800c9f1243fe6b4b",
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"user_api_key_alias": None,
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"user_api_end_user_max_budget": None,
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"litellm_api_version": "0.0.0",
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"global_max_parallel_requests": None,
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"user_api_key_user_id": "116544810872468347480",
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"user_api_key_org_id": None,
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"user_api_key_team_id": None,
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"user_api_key_team_alias": None,
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"user_api_key_metadata": {},
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"spend_logs_metadata": {"hello": "world"},
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"headers": {
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"content-type": "application/json",
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"user-agent": "PostmanRuntime/7.32.3",
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"accept": "*/*",
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"postman-token": "92300061-eeaa-423b-a420-0b44896ecdc4",
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"host": "localhost:4000",
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"accept-encoding": "gzip, deflate, br",
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"connection": "keep-alive",
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"content-length": "163",
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},
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"endpoint": "http://localhost:4000/chat/completions",
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"model_group": "gpt-3.5-turbo",
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"deployment": "azure/chatgpt-v-2",
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"model_info": {
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"id": "4bad40a1eb6bebd1682800f16f44b9f06c52a6703444c99c7f9f32e9de3693b4",
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"db_model": False,
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},
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"api_base": "https://openai-gpt-4-test-v-1.openai.azure.com/",
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"caching_groups": None,
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"raw_request": "\n\nPOST Request Sent from LiteLLM:\ncurl -X POST \\\nhttps://openai-gpt-4-test-v-1.openai.azure.com//openai/ \\\n-H 'Authorization: *****' \\\n-d '{'model': 'chatgpt-v-2', 'messages': [{'role': 'system', 'content': 'you are a helpful assistant.\\n'}, {'role': 'user', 'content': 'bom dia'}], 'stream': False, 'max_tokens': 10, 'user': '116544810872468347480', 'extra_body': {}}'\n",
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},
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"model_info": {
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"id": "4bad40a1eb6bebd1682800f16f44b9f06c52a6703444c99c7f9f32e9de3693b4",
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"db_model": False,
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},
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"proxy_server_request": {
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"url": "http://localhost:4000/chat/completions",
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"method": "POST",
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"headers": {
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"content-type": "application/json",
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"authorization": "Bearer sk-1234",
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"user-agent": "PostmanRuntime/7.32.3",
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"accept": "*/*",
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"postman-token": "92300061-eeaa-423b-a420-0b44896ecdc4",
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"host": "localhost:4000",
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"accept-encoding": "gzip, deflate, br",
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"connection": "keep-alive",
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"content-length": "163",
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},
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"body": {
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"messages": [
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{
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"role": "system",
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"content": "you are a helpful assistant.\n",
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},
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{"role": "user", "content": "bom dia"},
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],
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"model": "gpt-3.5-turbo",
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"max_tokens": 10,
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},
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},
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"preset_cache_key": None,
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"no-log": False,
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"stream_response": {},
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"input_cost_per_token": None,
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"input_cost_per_second": None,
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"output_cost_per_token": None,
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"output_cost_per_second": None,
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},
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"start_time": datetime.datetime(2024, 6, 7, 12, 43, 30, 307665),
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"stream": False,
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"user": "116544810872468347480",
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"call_type": "acompletion",
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"litellm_call_id": "b9929bf6-7b80-4c8c-b486-034e6ac0c8b7",
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"completion_start_time": datetime.datetime(2024, 6, 7, 12, 43, 30, 954146),
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"max_tokens": 10,
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"extra_body": {},
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"custom_llm_provider": "azure",
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"input": [
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{"role": "system", "content": "you are a helpful assistant.\n"},
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{"role": "user", "content": "bom dia"},
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],
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"api_key": "1234",
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"original_response": "",
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"additional_args": {
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"headers": {"Authorization": "Bearer 1234"},
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"api_base": "openai-gpt-4-test-v-1.openai.azure.com",
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"acompletion": True,
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"complete_input_dict": {
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"model": "chatgpt-v-2",
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"messages": [
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{"role": "system", "content": "you are a helpful assistant.\n"},
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{"role": "user", "content": "bom dia"},
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],
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"stream": False,
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"max_tokens": 10,
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"user": "116544810872468347480",
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"extra_body": {},
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},
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},
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"log_event_type": "post_api_call",
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"end_time": datetime.datetime(2024, 6, 7, 12, 43, 30, 954146),
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"cache_hit": None,
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"response_cost": 2.4999999999999998e-05,
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},
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"response_obj": litellm.ModelResponse(
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id="chatcmpl-9XZmkzS1uPhRCoVdGQvBqqIbSgECt",
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choices=[
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litellm.Choices(
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finish_reason="length",
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index=0,
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message=litellm.Message(
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content="Bom dia! Como posso ajudar você", role="assistant"
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),
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)
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],
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created=1717789410,
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model="gpt-35-turbo",
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object="chat.completion",
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system_fingerprint=None,
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usage=litellm.Usage(
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completion_tokens=10, prompt_tokens=20, total_tokens=30
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),
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),
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"start_time": datetime.datetime(2024, 6, 7, 12, 43, 30, 308604),
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"end_time": datetime.datetime(2024, 6, 7, 12, 43, 30, 954146),
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"end_user_id": None,
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}
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payload: SpendLogsPayload = get_logging_payload(**input_args)
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# Define the expected metadata keys
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expected_metadata_keys = SpendLogsMetadata.__annotations__.keys()
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# Validate only specified metadata keys are logged
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assert "metadata" in payload
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assert isinstance(payload["metadata"], str)
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payload["metadata"] = json.loads(payload["metadata"])
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assert set(payload["metadata"].keys()) == set(expected_metadata_keys)
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