forked from phoenix/litellm-mirror
test - team based logging
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tests/test_team_logging.py
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172
tests/test_team_logging.py
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# What this tests ?
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## Tests /models and /model/* endpoints
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import pytest
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import asyncio
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import aiohttp
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import os
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import dotenv
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from dotenv import load_dotenv
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load_dotenv()
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async def generate_key(session, models=[], team_id=None):
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url = "http://0.0.0.0:4000/key/generate"
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headers = {"Authorization": "Bearer sk-1234", "Content-Type": "application/json"}
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data = {
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"models": models,
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"duration": None,
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"team_id": team_id,
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}
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async with session.post(url, headers=headers, json=data) as response:
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status = response.status
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response_text = await response.text()
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print(response_text)
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print()
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if status != 200:
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raise Exception(f"Request did not return a 200 status code: {status}")
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return await response.json()
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async def chat_completion(session, key, model="azure-gpt-3.5", request_metadata=None):
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url = "http://0.0.0.0:4000/chat/completions"
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headers = {
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"Authorization": f"Bearer {key}",
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"Content-Type": "application/json",
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}
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data = {
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"model": model,
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"messages": [
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{"role": "system", "content": "You are a helpful assistant."},
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{"role": "user", "content": "Hello!"},
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],
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"metadata": request_metadata,
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}
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print("data sent in test=", data)
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async with session.post(url, headers=headers, json=data) as response:
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status = response.status
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response_text = await response.text()
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print(response_text)
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print()
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if status != 200:
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raise Exception(f"Request did not return a 200 status code: {status}")
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@pytest.mark.asyncio
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async def test_team_logging():
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"""
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-> Team 1 logs to project 1
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-> Create Key
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-> Make chat/completions call
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-> Fetch logs from langfuse
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"""
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try:
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async with aiohttp.ClientSession() as session:
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key = await generate_key(
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session, models=["fake-openai-endpoint"], team_id="team-1"
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) # team-1 logs to project 1
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import uuid
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_trace_id = f"trace-{uuid.uuid4()}"
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_request_metadata = {
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"trace_id": _trace_id,
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}
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await chat_completion(
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session,
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key["key"],
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model="fake-openai-endpoint",
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request_metadata=_request_metadata,
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)
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# Test - if the logs were sent to the correct team on langfuse
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import langfuse
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langfuse_client = langfuse.Langfuse(
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public_key=os.getenv("LANGFUSE_PROJECT1_PUBLIC"),
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secret_key=os.getenv("LANGFUSE_PROJECT1_SECRET"),
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)
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await asyncio.sleep(10)
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print(f"searching for trace_id={_trace_id} on langfuse")
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generations = langfuse_client.get_generations(trace_id=_trace_id).data
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print(generations)
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assert len(generations) == 2
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except Exception as e:
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print(e)
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@pytest.mark.asyncio
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async def test_team_2logging():
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"""
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-> Team 1 logs to project 2
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-> Create Key
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-> Make chat/completions call
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-> Fetch logs from langfuse
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"""
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try:
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async with aiohttp.ClientSession() as session:
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key = await generate_key(
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session, models=["fake-openai-endpoint"], team_id="team-2"
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) # team-1 logs to project 1
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import uuid
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_trace_id = f"trace-{uuid.uuid4()}"
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_request_metadata = {
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"trace_id": _trace_id,
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}
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await chat_completion(
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session,
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key["key"],
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model="fake-openai-endpoint",
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request_metadata=_request_metadata,
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)
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# Test - if the logs were sent to the correct team on langfuse
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import langfuse
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langfuse_client = langfuse.Langfuse(
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public_key=os.getenv("LANGFUSE_PROJECT2_PUBLIC"),
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secret_key=os.getenv("LANGFUSE_PROJECT2_SECRET"),
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)
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await asyncio.sleep(10)
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print(f"searching for trace_id={_trace_id} on langfuse")
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generations = langfuse_client.get_generations(trace_id=_trace_id).data
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print("Team 2 generations", generations)
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# team-2 should have 1 generation with this trace id
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assert len(generations) == 1
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# team-1 should have 0 generations with this trace id
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langfuse_client_1 = langfuse.Langfuse(
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public_key=os.getenv("LANGFUSE_PROJECT1_PUBLIC"),
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secret_key=os.getenv("LANGFUSE_PROJECT1_SECRET"),
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)
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generations_team_1 = langfuse_client_1.get_generations(
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trace_id=_trace_id
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).data
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print("Team 1 generations", generations_team_1)
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assert len(generations_team_1) == 0
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except Exception as e:
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print(e)
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