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6a0d03914c
* test: drop the cwd-relative sys.path.insert calls from the test suite
TQ003 stands at 1,077 across 1,058 files, and 1,015 of them are the same shape:
sys.path.insert(0, os.path.abspath("../..")) and its deeper siblings. The
argument resolves against the working directory rather than the file, so from
the repo root, where every job runs pytest, it inserts the directory two levels
above the checkout. It has never pointed at litellm. The package is installed
into the environment anyway, which is what actually makes the import work, and
what the rule's message has said all along.
Removing them leaves 1,634 imports of sys and os with no remaining reference,
and those go too, except where another test module imports the name back out of
the file. The rest of TQ003 is 62 call sites that resolve against __file__ or a
variable, which are a different question and are left alone.
Collection is identical either way: 45,871 tests and the same 51 pre-existing
collection errors before and after, and ruff reports no new undefined name.
* test: drop the duplicate imports the sys.path sweep exposed to F811
* test(pre-call-utils): restore the os import the new bedrock tests need
108 lines
4.1 KiB
Python
108 lines
4.1 KiB
Python
# Create server parameters for stdio connection
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import os
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import pytest
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import asyncio
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from mcp import ClientSession, StdioServerParameters
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from mcp.client.stdio import stdio_client
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from litellm import experimental_mcp_client
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import litellm
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import json
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@pytest.mark.xfail(
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reason="Fails due to missing 'mcp' package and connection issues in CI/local env."
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)
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@pytest.mark.asyncio
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async def test_mcp_agent():
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"""Test MCP agent functionality with a simple math server"""
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try:
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local_server_path = "./mcp_server.py"
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ci_cd_server_path = "tests/mcp_tests/mcp_server.py"
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# Use the correct path for the server
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server_path = (
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ci_cd_server_path
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if os.path.exists(ci_cd_server_path)
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else local_server_path
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)
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if not os.path.exists(server_path):
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pytest.skip(f"MCP server file not found at {server_path}")
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server_params = StdioServerParameters(
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command="python3",
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args=[server_path],
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)
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# Add timeout to prevent hanging
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async with asyncio.timeout(30): # 30 second timeout
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async with stdio_client(server_params) as (read, write):
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async with ClientSession(read, write) as session:
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# Initialize the connection
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await session.initialize()
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# Get tools
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tools = await experimental_mcp_client.load_mcp_tools(
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session=session, format="openai"
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)
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print("MCP TOOLS: ", tools)
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# Create and run the agent
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messages = [{"role": "user", "content": "what's (3 + 5)"}]
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llm_response = await litellm.acompletion(
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model="gpt-4o",
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api_key=os.getenv("OPENAI_API_KEY"),
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messages=messages,
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tools=tools,
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tool_choice="required",
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)
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print(
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"LLM RESPONSE: ",
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json.dumps(llm_response, indent=4, default=str),
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)
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# Add assertions to verify the response
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assert (
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llm_response["choices"][0]["message"]["tool_calls"] is not None
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)
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assert (
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llm_response["choices"][0]["message"]["tool_calls"][0][
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"function"
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]["name"]
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== "add"
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)
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openai_tool = llm_response["choices"][0]["message"]["tool_calls"][0]
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# Call the tool using MCP client
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call_result = await experimental_mcp_client.call_openai_tool(
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session=session,
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openai_tool=openai_tool,
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)
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print("CALL RESULT: ", call_result)
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# send the tool result to the LLM
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messages.append(llm_response["choices"][0]["message"])
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messages.append(
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{
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"role": "tool",
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"content": str(call_result.content[0].text),
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"tool_call_id": openai_tool["id"],
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}
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)
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print("final messages: ", messages)
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llm_response = await litellm.acompletion(
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model="gpt-4o",
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api_key=os.getenv("OPENAI_API_KEY"),
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messages=messages,
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tools=tools,
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)
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print(
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"FINAL LLM RESPONSE: ",
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json.dumps(llm_response, indent=4, default=str),
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)
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except asyncio.TimeoutError:
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pytest.skip("MCP server connection timed out - skipping test")
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except Exception as e:
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pytest.skip(f"MCP test failed with error: {str(e)} - skipping test")
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