diff --git a/attached_assets/Pasted-You-ve-fixed-the-RuntimeWarning-by-wrapping-the-coroutine-but-now-the-call-never-actually-reaches-1745149396816.txt b/attached_assets/Pasted-You-ve-fixed-the-RuntimeWarning-by-wrapping-the-coroutine-but-now-the-call-never-actually-reaches-1745149396816.txt new file mode 100644 index 00000000..9f516a4b --- /dev/null +++ b/attached_assets/Pasted-You-ve-fixed-the-RuntimeWarning-by-wrapping-the-coroutine-but-now-the-call-never-actually-reaches-1745149396816.txt @@ -0,0 +1,114 @@ +You’ve fixed the *RuntimeWarning* by wrapping the coroutine, but now the call never actually reaches the mock server. +Two things are still wrong: + +| symptom | real cause | +|---------|------------| +| **`__aenter__`** error from `process_param` | `MCPServerSse` *is* an async‑context‑manager; you must use **`async with`** (or call its `connect/cleanup` explicitly). | +| **“No result returned from MCP server”** | we never awaited `call_tool`, so the request was never sent; the wrapper returned `None`. | + +Below is a minimal, fully‑working patch set. +Apply it and the *Math‑Mock‑Server* will answer correctly (e.g. `add 4 and 19834 → 19838`). + +--- + +## 1 ▪ `tools/mcp_integration.py` + +```python +# keep the import you already added +import asyncio + +# ──────────────────────────────────────────────────────────── +# 1. async helper that really talks to one MCP server +async def _call_one_server(param: MCPServerSseParams, + payload: dict[str, any]) -> str: + async with MCPServerSse(param, cache_tools_list=True) as srv: + # ↓ fast‑mcp returns a pydantic model; make it json‑serialisable + res = await srv.call_tool(payload) + try: + return res.model_dump() # fast‑mcp ≥0.2 + except AttributeError: + return res # plain dict / str + +# 2. public sync wrapper – what the Agent imports & uses +def batch_mcp_flow(params: list[MCPServerSseParams], + payload: dict[str, any]) -> list[str]: + """Blocking helper – fan‑out to every MCP server given in *params*.""" + return asyncio.run(_batch(params, payload)) + + +# 3. little async fan‑out +async def _batch(params: list[MCPServerSseParams], + payload: dict[str, any]) -> list[str]: + coros = [_call_one_server(p, payload) for p in params] + return await asyncio.gather(*coros) +``` + +--- + +## 2 ▪ `structs/agent.py` + +Replace **only** the `mcp_execution_flow` method with the synchronous +wrapper that now returns the real value (note: `payload` is a *string* here): + +```python + # inside class Agent + def mcp_execution_flow(self, response: str) -> str: + """ + Forward the JSON tool‑call coming from the LLM to all MCP servers + listed in self.mcp_servers. + """ + try: + payload = json.loads(response) # {"tool_name": …} + results = batch_mcp_flow(self.mcp_servers, payload) + # `batch_mcp_flow` already blocks, so results is a list[str] + return any_to_str(results[0] if len(results) == 1 else results) + except Exception as err: + logger.error(f"MCP flow failed: {err}") + return f"[MCP-error] {err}" +``` + +*(you may keep the rest of your big `Agent` class unchanged)* + +--- + +## 3 ▪ client‑side tiny polish + +When you start the mock server you exposed SSE at `http://0.0.0.0:8000`. +That’s fine – the fast‑mcp helper discovers the SSE endpoint automatically, +so the URL in `MCPServerSseParams` is correct. + +--- + +## 4 ▪ Quick smoke‑test + +1. **Start the mock server** (in one shell): + + ```bash + python math_mock_server.py # prints “Starting Mock Math Server…” + ``` + +2. **Run the client** (your `mcp_client.py`) in another shell: + + ``` + Enter your query (or 'exit' to quit): add 4 and 19834 + Math Agent Response: 19838 + ``` + +No warning, no `[MCP‑error]`, and you get the right answer. + +--- + +### Why this works + +* `async with MCPServerSse(...) as srv:` guarantees `connect()` and `cleanup()` are + called and awaited. +* `await srv.call_tool(payload)` actually sends the JSON‑RPC request. +* `asyncio.run()` in the wrapper lets the rest of your Agent stay 100 % synchronous. +* Any exception bubbles up, gets logged, and your Agent sees + `[MCP‑error] …` instead of mysterious `None`. + +You can now add more servers to `self.mcp_servers` – they’ll all be invoked in +parallel, and the first element of the returned list will always hold the +result from the first server (adapt as needed). + +Happy calculating! \ No newline at end of file diff --git a/attached_assets/Pasted-You-ve-fixed-the-RuntimeWarning-by-wrapping-the-coroutine-but-now-the-call-never-actually-reaches-1745149406859.txt b/attached_assets/Pasted-You-ve-fixed-the-RuntimeWarning-by-wrapping-the-coroutine-but-now-the-call-never-actually-reaches-1745149406859.txt new file mode 100644 index 00000000..9f516a4b --- /dev/null +++ b/attached_assets/Pasted-You-ve-fixed-the-RuntimeWarning-by-wrapping-the-coroutine-but-now-the-call-never-actually-reaches-1745149406859.txt @@ -0,0 +1,114 @@ +You’ve fixed the *RuntimeWarning* by wrapping the coroutine, but now the call never actually reaches the mock server. +Two things are still wrong: + +| symptom | real cause | +|---------|------------| +| **`__aenter__`** error from `process_param` | `MCPServerSse` *is* an async‑context‑manager; you must use **`async with`** (or call its `connect/cleanup` explicitly). | +| **“No result returned from MCP server”** | we never awaited `call_tool`, so the request was never sent; the wrapper returned `None`. | + +Below is a minimal, fully‑working patch set. +Apply it and the *Math‑Mock‑Server* will answer correctly (e.g. `add 4 and 19834 → 19838`). + +--- + +## 1 ▪ `tools/mcp_integration.py` + +```python +# keep the import you already added +import asyncio + +# ──────────────────────────────────────────────────────────── +# 1. async helper that really talks to one MCP server +async def _call_one_server(param: MCPServerSseParams, + payload: dict[str, any]) -> str: + async with MCPServerSse(param, cache_tools_list=True) as srv: + # ↓ fast‑mcp returns a pydantic model; make it json‑serialisable + res = await srv.call_tool(payload) + try: + return res.model_dump() # fast‑mcp ≥0.2 + except AttributeError: + return res # plain dict / str + +# 2. public sync wrapper – what the Agent imports & uses +def batch_mcp_flow(params: list[MCPServerSseParams], + payload: dict[str, any]) -> list[str]: + """Blocking helper – fan‑out to every MCP server given in *params*.""" + return asyncio.run(_batch(params, payload)) + + +# 3. little async fan‑out +async def _batch(params: list[MCPServerSseParams], + payload: dict[str, any]) -> list[str]: + coros = [_call_one_server(p, payload) for p in params] + return await asyncio.gather(*coros) +``` + +--- + +## 2 ▪ `structs/agent.py` + +Replace **only** the `mcp_execution_flow` method with the synchronous +wrapper that now returns the real value (note: `payload` is a *string* here): + +```python + # inside class Agent + def mcp_execution_flow(self, response: str) -> str: + """ + Forward the JSON tool‑call coming from the LLM to all MCP servers + listed in self.mcp_servers. + """ + try: + payload = json.loads(response) # {"tool_name": …} + results = batch_mcp_flow(self.mcp_servers, payload) + # `batch_mcp_flow` already blocks, so results is a list[str] + return any_to_str(results[0] if len(results) == 1 else results) + except Exception as err: + logger.error(f"MCP flow failed: {err}") + return f"[MCP-error] {err}" +``` + +*(you may keep the rest of your big `Agent` class unchanged)* + +--- + +## 3 ▪ client‑side tiny polish + +When you start the mock server you exposed SSE at `http://0.0.0.0:8000`. +That’s fine – the fast‑mcp helper discovers the SSE endpoint automatically, +so the URL in `MCPServerSseParams` is correct. + +--- + +## 4 ▪ Quick smoke‑test + +1. **Start the mock server** (in one shell): + + ```bash + python math_mock_server.py # prints “Starting Mock Math Server…” + ``` + +2. **Run the client** (your `mcp_client.py`) in another shell: + + ``` + Enter your query (or 'exit' to quit): add 4 and 19834 + Math Agent Response: 19838 + ``` + +No warning, no `[MCP‑error]`, and you get the right answer. + +--- + +### Why this works + +* `async with MCPServerSse(...) as srv:` guarantees `connect()` and `cleanup()` are + called and awaited. +* `await srv.call_tool(payload)` actually sends the JSON‑RPC request. +* `asyncio.run()` in the wrapper lets the rest of your Agent stay 100 % synchronous. +* Any exception bubbles up, gets logged, and your Agent sees + `[MCP‑error] …` instead of mysterious `None`. + +You can now add more servers to `self.mcp_servers` – they’ll all be invoked in +parallel, and the first element of the returned list will always hold the +result from the first server (adapt as needed). + +Happy calculating! 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