From 48675e214ac94392f5e310f1776ec93af44ecc44 Mon Sep 17 00:00:00 2001 From: Yaman Ahlawat Date: Sat, 19 Jul 2025 22:44:12 +0530 Subject: [PATCH 1/7] feat: Added MCP elicitation support for tool injection in mcp-run-python --- mcp-run-python/build.ts | 8 + mcp-run-python/src/main.ts | 206 ++++- mcp-run-python/src/runCode.ts | 72 +- mcp-run-python/src/tool_injection.py | 95 +++ pydantic_ai_slim/pydantic_ai/agent.py | 108 ++- pydantic_ai_slim/pydantic_ai/mcp.py | 16 +- pydantic_ai_slim/pyproject.toml | 2 +- tests/test_mcp_elicitation.py | 1078 +++++++++++++++++++++++++ uv.lock | 37 +- 9 files changed, 1581 insertions(+), 41 deletions(-) create mode 100644 mcp-run-python/src/tool_injection.py create mode 100644 tests/test_mcp_elicitation.py diff --git a/mcp-run-python/build.ts b/mcp-run-python/build.ts index afac19b09..09f6edfb0 100644 --- a/mcp-run-python/build.ts +++ b/mcp-run-python/build.ts @@ -5,12 +5,20 @@ if (!import.meta.dirname) { throw new Error('import.meta.dirname is not defined, unable to load prepare_env.py') } const src = path.join(import.meta.dirname, 'src/prepare_env.py') +const toolInjectionSrc = path.join(import.meta.dirname, 'src/tool_injection.py') const dst = path.join(import.meta.dirname, 'src/prepareEnvCode.ts') let pythonCode = await Deno.readTextFile(src) pythonCode = pythonCode.replace(/\\/g, '\\\\') + +// Read tool injection code from separate Python file +let toolInjectionCode = await Deno.readTextFile(toolInjectionSrc) +toolInjectionCode = toolInjectionCode.replace(/\\/g, '\\\\') + const jsCode = `\ // DO NOT EDIT THIS FILE DIRECTLY, INSTEAD RUN "deno run build" export const preparePythonCode = \`${pythonCode}\` + +export const toolInjectionCode = \`${toolInjectionCode}\` ` await Deno.writeTextFile(dst, jsCode) diff --git a/mcp-run-python/src/main.ts b/mcp-run-python/src/main.ts index caf1cb989..a55120593 100644 --- a/mcp-run-python/src/main.ts +++ b/mcp-run-python/src/main.ts @@ -1,8 +1,8 @@ /// import './polyfill.ts' -import http from 'node:http' import { randomUUID } from 'node:crypto' +import http, { type IncomingMessage, type ServerResponse } from 'node:http' import { parseArgs } from '@std/cli/parse-args' import { SSEServerTransport } from '@modelcontextprotocol/sdk/server/sse.js' import { StdioServerTransport } from '@modelcontextprotocol/sdk/server/stdio.js' @@ -11,14 +11,13 @@ import { isInitializeRequest } from '@modelcontextprotocol/sdk/types.js' import { type LoggingLevel, SetLevelRequestSchema } from '@modelcontextprotocol/sdk/types.js' import { McpServer } from '@modelcontextprotocol/sdk/server/mcp.js' import { z } from 'zod' - -import { asXml, runCode } from './runCode.ts' import { Buffer } from 'node:buffer' +import { asXml, runCode, runCodeWithToolInjection, type ToolInjectionConfig } from './runCode.ts' -const VERSION = '0.0.13' +const VERSION = '0.0.14' export async function main() { - const { args } = Deno + const args = globalThis.Deno?.args || [] if (args.length === 1 && args[0] === 'stdio') { await runStdio() } else if (args.length >= 1 && args[0] === 'streamable_http') { @@ -29,7 +28,7 @@ export async function main() { const port = parseInt(flags.port) runStreamableHttp(port) } else if (args.length >= 1 && args[0] === 'sse') { - const flags = parseArgs(Deno.args, { + const flags = parseArgs(args, { string: ['port'], default: { port: '3001' }, }) @@ -47,7 +46,7 @@ Usage: deno run -N -R=node_modules -W=node_modules --node-modules-dir=auto jsr:@ options: --port Port to run the SSE server on (default: 3001)`, ) - Deno.exit(1) + globalThis.Deno?.exit(1) } } @@ -57,13 +56,14 @@ options: function createServer(): McpServer { const server = new McpServer( { - name: 'MCP Run Python', + name: 'MCP Run Python with Tool Injection', version: VERSION, }, { instructions: 'Call the "run_python_code" tool with the Python code to run.', capabilities: { logging: {}, + elicitation: {}, }, }, ) @@ -81,6 +81,13 @@ with a comment of the form: # dependencies = ['pydantic'] # /// print('python code here') + +TOOL INJECTION: When 'tools' parameter is provided, the specified tool functions become available directly in Python's global namespace. You can call them directly like any other function. For example, if 'web_search' is provided as a tool, you can call it directly: + +result = web_search("search query") +print(result) + +The tools are injected into the global namespace automatically - no discovery functions needed. ` let setLogLevel: LoggingLevel = 'emergency' @@ -93,21 +100,115 @@ print('python code here') server.tool( 'run_python_code', toolDescription, - { python_code: z.string().describe('Python code to run') }, - async ({ python_code }: { python_code: string }) => { + { + python_code: z.string().describe('Python code to run'), + tools: z + .array(z.string()) + .optional() + .describe('List of available tools for injection (enables tool injection when provided)'), + }, + async ({ + python_code, + tools = [], + }: { + python_code: string + tools?: string[] + }) => { const logPromises: Promise[] = [] - const result = await runCode([{ - name: 'main.py', - content: python_code, - active: true, - }], (level, data) => { - if (LogLevels.indexOf(level) >= LogLevels.indexOf(setLogLevel)) { - logPromises.push(server.server.sendLoggingMessage({ level, data })) + + // Check if tools are provided + if (tools.length > 0) { + // Create elicitation callback + // deno-lint-ignore no-explicit-any + const elicitationCallback = async (elicitationRequest: any) => { + // Convert Python dict to JavaScript object if needed + let jsRequest + if (elicitationRequest && typeof elicitationRequest === 'object' && elicitationRequest.toJs) { + jsRequest = elicitationRequest.toJs() + } else if (elicitationRequest && typeof elicitationRequest === 'object') { + // Handle Python dict-like objects + jsRequest = { + message: elicitationRequest.message || elicitationRequest.get?.('message'), + requestedSchema: elicitationRequest.requestedSchema || elicitationRequest.get?.('requestedSchema'), + } + } else { + jsRequest = elicitationRequest + } + + try { + const elicitationResult = await server.server.request( + { + method: 'elicitation/create', + params: { + message: jsRequest.message, + requestedSchema: jsRequest.requestedSchema, + }, + }, + z.object({ + action: z.enum(['accept', 'decline', 'cancel']), + content: z.optional(z.record(z.string(), z.unknown())), + }), + ) + + return elicitationResult + } catch (error) { + logPromises.push( + server.server.sendLoggingMessage({ + level: 'error', + data: `Elicitation error: ${error}`, + }), + ) + throw error + } + } + + // Use tool injection mode + const result = await runCodeWithToolInjection( + [ + { + name: 'main.py', + content: python_code, + active: true, + }, + ], + (level, data) => { + if (LogLevels.indexOf(level) >= LogLevels.indexOf(setLogLevel)) { + logPromises.push(server.server.sendLoggingMessage({ level, data })) + } + }, + { + enableToolInjection: true, + availableTools: tools, + timeoutSeconds: 30, + elicitationCallback, + } as ToolInjectionConfig, + ) + + await Promise.all(logPromises) + + return { + content: [{ type: 'text', text: asXml(result) }], + } + } else { + // Use basic mode without tool injection + const result = await runCode( + [ + { + name: 'main.py', + content: python_code, + active: true, + }, + ], + (level, data) => { + if (LogLevels.indexOf(level) >= LogLevels.indexOf(setLogLevel)) { + logPromises.push(server.server.sendLoggingMessage({ level, data })) + } + }, + ) + await Promise.all(logPromises) + return { + content: [{ type: 'text', text: asXml(result) }], } - }) - await Promise.all(logPromises) - return { - content: [{ type: 'text', text: asXml(result) }], } }, ) @@ -167,7 +268,7 @@ function runStreamableHttp(port: number) { const mcpServer = createServer() const transports: { [sessionId: string]: StreamableHTTPServerTransport } = {} - const server = http.createServer(async (req, res) => { + const server = http.createServer(async (req: IncomingMessage, res: ServerResponse) => { const url = httpGetUrl(req) let pathMatch = false function match(method: string, path: string): boolean { @@ -309,21 +410,66 @@ async function warmup() { console.error( `Running warmup script for MCP Run Python version ${VERSION}...`, ) + const code = ` import numpy a = numpy.array([1, 2, 3]) print('numpy array:', a) a ` - const result = await runCode([{ - name: 'warmup.py', - content: code, - active: true, - }], (level, data) => - // use warn to avoid recursion since console.log is patched in runCode - console.error(`${level}: ${data}`)) - console.log('Tool return value:') + const result = await runCode( + [ + { + name: 'warmup.py', + content: code, + active: true, + }, + ], + (level, data) => console.error(`${level}: ${data}`), + ) console.log(asXml(result)) + + // Test tool injection functionality + console.error('Testing tool injection framework...') + const toolCode = ` +# Test tool injection - directly call an injected tool +result = web_search("test query") +print(f"Tool result: {result}") +"tool_test_complete" +` + + try { + const toolResult = await runCodeWithToolInjection( + [ + { + name: 'tool_test.py', + content: toolCode, + active: true, + }, + ], + (level, data) => console.error(`${level}: ${data}`), + { + enableToolInjection: true, + availableTools: ['web_search', 'send_email'], + timeoutSeconds: 30, + // deno-lint-ignore no-explicit-any require-await + elicitationCallback: async (_elicitationRequest: any) => { + // Mock callback for warmup test + return { + action: 'accept', + content: { + result: '{"status": "mock success"}', + }, + } + }, + } as ToolInjectionConfig, + ) + console.log('Tool injection result:') + console.log(asXml(toolResult)) + } catch (error) { + console.error('Tool injection test failed:', error) + } + console.log('\nwarmup successful 🎉') } diff --git a/mcp-run-python/src/runCode.ts b/mcp-run-python/src/runCode.ts index 691c3c860..9e13f2cc6 100644 --- a/mcp-run-python/src/runCode.ts +++ b/mcp-run-python/src/runCode.ts @@ -1,6 +1,6 @@ /* eslint @typescript-eslint/no-explicit-any: off */ import { loadPyodide } from 'pyodide' -import { preparePythonCode } from './prepareEnvCode.ts' +import { preparePythonCode, toolInjectionCode } from './prepareEnvCode.ts' import type { LoggingLevel } from '@modelcontextprotocol/sdk/types.js' export interface CodeFile { @@ -9,9 +9,31 @@ export interface CodeFile { active: boolean } +// Tool injection configuration +export interface ToolInjectionConfig { + enableToolInjection: boolean + availableTools: string[] + timeoutSeconds: number + // deno-lint-ignore no-explicit-any + elicitationCallback?: (request: any) => Promise +} + export async function runCode( files: CodeFile[], log: (level: LoggingLevel, data: string) => void, +): Promise { + // Use enhanced version without tool injection for backwards compatibility + const result = await runCodeWithToolInjection(files, log, undefined) + + // Convert to original format + return result +} + +// Enhanced version that supports optional tool injection +export async function runCodeWithToolInjection( + files: CodeFile[], + log: (level: LoggingLevel, data: string) => void, + toolConfig?: ToolInjectionConfig, ): Promise { // remove once we can upgrade to pyodide 0.27.7 and console.log is no longer used. const realConsoleLog = console.log @@ -53,6 +75,7 @@ export async function runCode( const moduleName = '_prepare_env' pathlib.Path(`${dirPath}/${moduleName}.py`).write_text(preparePythonCode) + pathlib.Path(`${dirPath}/tool_injection.py`).write_text(toolInjectionCode) const preparePyEnv: PreparePyEnv = pyodide.pyimport(moduleName) @@ -68,11 +91,20 @@ export async function runCode( } else { const { dependencies } = prepareStatus const activeFile = files.find((f) => f.active)! || files[0] + try { + const globals = pyodide.toPy({ __name__: '__main__' }) + + // Inject tool functions if enabled + if (toolConfig?.enableToolInjection) { + injectToolFunctions(pyodide, globals, toolConfig, log) + } + const rawValue = await pyodide.runPythonAsync(activeFile.content, { - globals: pyodide.toPy({ __name__: '__main__' }), + globals, filename: activeFile.name, }) + runResult = { status: 'success', dependencies, @@ -88,12 +120,48 @@ export async function runCode( } } } + sys.stdout.flush() sys.stderr.flush() console.log = realConsoleLog return runResult } +// Tool injection implementation +function injectToolFunctions( + // deno-lint-ignore no-explicit-any + pyodide: any, + // deno-lint-ignore no-explicit-any + globals: any, + config: ToolInjectionConfig, + log: (level: LoggingLevel, data: string) => void, +): void { + log('info', `Injecting tool functions for ${config.availableTools.length} tools`) + + const tool_injection = pyodide.pyimport('tool_injection') + + // JavaScript callback that Python will invoke for tool execution + // deno-lint-ignore no-explicit-any + const tool_callback = async (elicitation_request_proxy: any) => { + const elicitation_request = elicitation_request_proxy.toJs() + + if (!config.elicitationCallback) { + throw new Error('Tool injection requires an elicitation callback.') + } + + const elicitation_response = await config.elicitationCallback(elicitation_request) + return pyodide.toPy(elicitation_response) + } + + tool_injection.inject_tool_functions( + globals, + config.availableTools, + tool_callback, + ) + + log('info', `Tool injection complete. Available tools: ${config.availableTools.join(', ')}`) +} + interface RunSuccess { status: 'success' // we could record stdout and stderr separately, but I suspect simplicity is more important diff --git a/mcp-run-python/src/tool_injection.py b/mcp-run-python/src/tool_injection.py new file mode 100644 index 000000000..b4b3a6aef --- /dev/null +++ b/mcp-run-python/src/tool_injection.py @@ -0,0 +1,95 @@ +"""Tool injection for MCP elicitation support.""" + +import json +from typing import Any, Callable, cast + + +def _create_elicitation_request(tool_name: str, args: tuple[Any, ...], kwargs: dict[str, Any]) -> dict[str, Any]: + """Create an elicitation request object for tool execution.""" + tool_args: dict[str, Any] = {} + + # Handle positional arguments + if args: + if len(args) == 1 and isinstance(args[0], str): + # Single string argument - assume it's a query + tool_args['query'] = args[0] + elif len(args) == 1 and isinstance(args[0], dict): + # Single dict argument + tool_args.update(args[0]) # type: ignore[arg-type] + + # Add keyword arguments + tool_args.update(kwargs) + + tool_execution_data: dict[str, Any] = {'tool_name': tool_name, 'arguments': tool_args} + return { + 'message': json.dumps(tool_execution_data), + 'requestedSchema': { + 'type': 'object', + 'properties': {'result': {'type': 'string', 'description': f'Result of executing {tool_name} tool'}}, + 'required': ['result'], + }, + } + + +def _handle_tool_callback_result(result: Any, tool_name: str) -> Any: + """Handle the result from a tool callback, including promise resolution.""" + # Handle PyodideFuture (JavaScript Promise) + if hasattr(result, 'then'): + try: + # Import at runtime to avoid dependency issues + from pyodide.webloop import run_sync # type: ignore[import-untyped] + + # Use cast to tell the type checker what we expect + resolved_result = cast(dict[str, Any], run_sync(result)) + + # Extract result from elicitation response + if isinstance(resolved_result, dict): + if resolved_result.get('action') == 'accept': + content = cast(dict[str, Any], resolved_result.get('content', {})) + return content.get('result') + elif resolved_result.get('action') == 'decline': + raise Exception(f'Tool {tool_name} execution declined') + elif resolved_result.get('action') == 'cancel': + raise Exception(f'Tool {tool_name} execution cancelled') + return resolved_result + except Exception as promise_error: + raise Exception(f'Tool {tool_name} promise error: {str(promise_error)}') + else: + return result + + +def _create_tool_function(tool_name: str, tool_callback: Callable[[Any], Any]) -> Callable[..., Any]: + """Create a tool function that can be called from Python.""" + + def tool_function(*args: Any, **kwargs: Any) -> Any: + """Synchronous tool function that handles the async callback properly.""" + # Note: tool_callback is guaranteed to be not None due to check in inject_tool_functions + + elicitation_request = _create_elicitation_request(tool_name, args, kwargs) + + try: + result = tool_callback(elicitation_request) + return _handle_tool_callback_result(result, tool_name) + except Exception as e: + raise Exception(f'Tool {tool_name} failed: {str(e)}') + + return tool_function + + +def inject_tool_functions( + globals_dict: dict[str, Any], available_tools: list[str], tool_callback: Callable[[Any], Any] | None = None +) -> None: + """Inject tool functions into the global namespace. + + Args: + globals_dict: Global namespace to inject tools into + available_tools: List of available tool names + tool_callback: Optional callback for tool execution + """ + if not available_tools: + return + + # Inject tool functions into globals + for tool_name in available_tools: + if tool_callback is not None: + globals_dict[tool_name] = _create_tool_function(tool_name, tool_callback) diff --git a/pydantic_ai_slim/pydantic_ai/agent.py b/pydantic_ai_slim/pydantic_ai/agent.py index 5f22d7329..66eac7410 100644 --- a/pydantic_ai_slim/pydantic_ai/agent.py +++ b/pydantic_ai_slim/pydantic_ai/agent.py @@ -33,6 +33,7 @@ from ._agent_graph import HistoryProcessor from ._output import OutputToolset from ._tool_manager import ToolManager +from .mcp import MCPServer from .models.instrumented import InstrumentationSettings, InstrumentedModel, instrument_model from .output import OutputDataT, OutputSpec from .profiles import ModelProfile @@ -69,6 +70,7 @@ from fasta2a.broker import Broker from fasta2a.schema import AgentProvider, Skill from fasta2a.storage import Storage + from mcp import types as mcp_types from starlette.middleware import Middleware from starlette.routing import BaseRoute, Route from starlette.types import ExceptionHandler, Lifespan @@ -1817,14 +1819,100 @@ def set_mcp_sampling_model(self, model: models.Model | models.KnownModelName | s except exceptions.UserError as e: raise exceptions.UserError('No sampling model provided and no model set on the agent.') from e - from .mcp import MCPServer - def _set_sampling_model(toolset: AbstractToolset[AgentDepsT]) -> None: if isinstance(toolset, MCPServer): toolset.sampling_model = sampling_model self._get_toolset().apply(_set_sampling_model) + def _create_elicitation_callback(self): + """Create an elicitation callback that routes to this agent's tools.""" + + async def elicitation_callback(context: Any, params: Any) -> Any: + """Handle elicitation requests by delegating to the agent's tools.""" + try: + tool_execution_data = json.loads(params.message) + tool_name = tool_execution_data.get('tool_name') + tool_arguments = tool_execution_data.get('arguments', {}) + + # Try function tools first + function_tools = self._function_toolset.tools + if tool_name in function_tools: + tool_func = function_tools[tool_name].function_schema.function + + # Handle both sync and async functions + + if inspect.iscoroutinefunction(tool_func): + result = await tool_func(**tool_arguments) + else: + result = tool_func(**tool_arguments) + + return mcp_types.ElicitResult(action='accept', content={'result': str(result)}) + + # Try MCP tools with name mapping + actual_tool_name = tool_name.replace('_', '-') + + for toolset in self._user_toolsets: + if not isinstance(toolset, MCPServer): + continue + mcp_server = toolset + if 'mcp-run-python' in str(mcp_server): + continue + + try: + result = await mcp_server.direct_call_tool(actual_tool_name, tool_arguments) + return mcp_types.ElicitResult(action='accept', content={'result': str(result)}) + except Exception: + continue + + return mcp_types.ErrorData(code=mcp_types.INVALID_PARAMS, message=f'Tool {tool_name} not found') + + except Exception as e: + return mcp_types.ErrorData(code=mcp_types.INTERNAL_ERROR, message=f'Tool execution failed: {str(e)}') + + return elicitation_callback + + def _create_auto_tool_injection_callback(self): + """Create a callback that auto-injects available tools into run_python_code calls.""" + + async def auto_inject_tools_callback( + ctx: RunContext[Any], + call_tool_func: Callable[[str, dict[str, Any], dict[str, Any] | None], Awaitable[Any]], + tool_name: str, + arguments: dict[str, Any], + ) -> Any: + """Auto-inject available tools into run_python_code calls.""" + if tool_name == 'run_python_code': + # Auto-inject available tools if not already provided + if 'tools' not in arguments or not arguments['tools']: + available_tools: list[str] = [] + + # Add function tools + available_tools.extend(list(self._function_toolset.tools.keys())) + + for toolset in self._user_toolsets: + if not isinstance(toolset, MCPServer): + continue + mcp_server = toolset + if 'mcp-run-python' in str(mcp_server): + continue + + try: + server_tools = await mcp_server.list_tools() + for tool_def in server_tools: + python_name = tool_def.name.replace('-', '_') + available_tools.append(python_name) + except Exception: + # Silently continue if we can't get tools from a server + pass + + arguments['tools'] = available_tools + + # Continue with normal processing + return await call_tool_func(tool_name, arguments, None) + + return auto_inject_tools_callback + @asynccontextmanager @deprecated( '`run_mcp_servers` is deprecated, use `async with agent:` instead. If you need to set a sampling model on all MCP servers, use `agent.set_mcp_sampling_model()`.' @@ -1845,6 +1933,22 @@ async def run_mcp_servers( if model is not None: raise + # Auto-setup elicitation callback if allow_elicitation is True and no callback is set + + for toolset in self._user_toolsets: + if isinstance(toolset, MCPServer): + mcp_server = toolset + if ( + hasattr(mcp_server, 'allow_elicitation') + and mcp_server.allow_elicitation + and mcp_server.elicitation_callback is None + ): + mcp_server.elicitation_callback = self._create_elicitation_callback() + + # Also setup auto-tool-injection for run_python_code if not already set + if mcp_server.process_tool_call is None: + mcp_server.process_tool_call = self._create_auto_tool_injection_callback() + async with self: yield diff --git a/pydantic_ai_slim/pydantic_ai/mcp.py b/pydantic_ai_slim/pydantic_ai/mcp.py index 77d53f080..51515a758 100644 --- a/pydantic_ai_slim/pydantic_ai/mcp.py +++ b/pydantic_ai_slim/pydantic_ai/mcp.py @@ -25,7 +25,7 @@ try: from mcp import types as mcp_types - from mcp.client.session import ClientSession, LoggingFnT + from mcp.client.session import ClientSession, ElicitationFnT, LoggingFnT from mcp.client.sse import sse_client from mcp.client.stdio import StdioServerParameters, stdio_client from mcp.client.streamable_http import GetSessionIdCallback, streamablehttp_client @@ -66,6 +66,8 @@ class MCPServer(AbstractToolset[Any], ABC): allow_sampling: bool = True max_retries: int = 1 sampling_model: models.Model | None = None + allow_elicitation: bool = True + elicitation_callback: ElicitationFnT | None = None # } end of "abstract fields" _enter_lock: Lock = field(compare=False) @@ -398,6 +400,12 @@ async def main(): sampling_model: models.Model | None = None """The model to use for sampling.""" + allow_elicitation: bool = True + """Whether to allow MCP elicitation through this client.""" + + elicitation_callback: ElicitationFnT | None = None + """Callback function to handle elicitation requests from the server.""" + @asynccontextmanager async def client_streams( self, @@ -499,6 +507,12 @@ class _MCPServerHTTP(MCPServer): sampling_model: models.Model | None = None """The model to use for sampling.""" + allow_elicitation: bool = True + """Whether to allow MCP elicitation through this client.""" + + elicitation_callback: ElicitationFnT | None = None + """Callback function to handle elicitation requests from the server.""" + def __init__( self, *, diff --git a/pydantic_ai_slim/pyproject.toml b/pydantic_ai_slim/pyproject.toml index 7407e14e2..ce7a4a342 100644 --- a/pydantic_ai_slim/pyproject.toml +++ b/pydantic_ai_slim/pyproject.toml @@ -77,7 +77,7 @@ tavily = ["tavily-python>=0.5.0"] # CLI cli = ["rich>=13", "prompt-toolkit>=3", "argcomplete>=3.5.0"] # MCP -mcp = ["mcp>=1.10.0; python_version >= '3.10'"] +mcp = ["mcp>=1.11.0; python_version >= '3.10'"] # Evals evals = ["pydantic-evals=={{ version }}"] # A2A diff --git a/tests/test_mcp_elicitation.py b/tests/test_mcp_elicitation.py new file mode 100644 index 000000000..792aff709 --- /dev/null +++ b/tests/test_mcp_elicitation.py @@ -0,0 +1,1078 @@ +"""Tests for MCP elicitation callback functionality.""" + +import json +from typing import Any +from unittest.mock import MagicMock + +import pytest + +from pydantic_ai.agent import Agent +from pydantic_ai.models.test import TestModel + +from .conftest import try_import + +with try_import() as imports_successful: + from mcp import types + from mcp.client.session import ClientSession + from mcp.shared.context import RequestContext + + from pydantic_ai.mcp import MCPServerSSE, MCPServerStdio + +pytestmark = [ + pytest.mark.skipif(not imports_successful(), reason='mcp not installed'), + pytest.mark.anyio, +] + + +class TestMCPElicitationCallback: + """Test MCP elicitation callback functionality.""" + + async def test_elicitation_callback_integration(self): + """Test that elicitation callback is properly integrated into ClientSession.""" + + # Create a mock elicitation callback with correct signature + async def mock_callback( + context: RequestContext[ClientSession, Any], params: types.ElicitRequestParams + ) -> types.ElicitResult | types.ErrorData: + return types.ElicitResult(action='accept', content={'data': 'test_result'}) + + # Create MCPServer with elicitation callback + server = MCPServerStdio(command='python', args=['-m', 'tests.mcp_server'], elicitation_callback=mock_callback) + + # Verify the callback is set + assert server.elicitation_callback is mock_callback + + # Test that the callback is passed to ClientSession + async with server.client_streams() as (read, write): + # Note: We can't access private attributes directly, but we can verify it was passed correctly + ClientSession(read, write, elicitation_callback=mock_callback) + + async def test_elicitation_callback_none_by_default(self): + """Test that elicitation callback is None by default.""" + + server = MCPServerStdio(command='python', args=['-m', 'tests.mcp_server']) + + assert server.elicitation_callback is None + + async def test_mcp_server_with_elicitation_callback(self): + """Test MCPServer initialization with elicitation callback.""" + + async def sample_callback( + context: RequestContext[ClientSession, Any], params: types.ElicitRequestParams + ) -> types.ElicitResult | types.ErrorData: + return types.ElicitResult(action='accept', content={'status': 'success'}) + + server = MCPServerStdio(command='python', args=['-m', 'tests.mcp_server'], elicitation_callback=sample_callback) + + assert server.elicitation_callback is sample_callback + assert callable(server.elicitation_callback) + + async def test_elicitation_callback_with_agent(self): + """Test agent integration with MCP server that has elicitation callback.""" + + # Mock elicitation callback that simulates user interaction + async def mock_elicitation( + context: RequestContext[ClientSession, Any], params: types.ElicitRequestParams + ) -> types.ElicitResult | types.ErrorData: + # Simulate accepting tool execution + return types.ElicitResult(action='accept', content={'tool_executed': True, 'data': 'elicitation_result'}) + + server = MCPServerStdio( + command='python', args=['-m', 'tests.mcp_server'], elicitation_callback=mock_elicitation + ) + + model = TestModel(custom_output_text='Test response') + agent = Agent(model, mcp_servers=[server]) + + # Verify the server is properly configured + assert len(agent._mcp_servers) == 1 # type: ignore + assert agent._mcp_servers[0].elicitation_callback is mock_elicitation # type: ignore + + async def test_elicitation_callback_error_handling(self): + """Test error handling in elicitation callback.""" + + # Mock callback that raises an exception + async def failing_callback( + context: RequestContext[ClientSession, Any], params: types.ElicitRequestParams + ) -> types.ElicitResult | types.ErrorData: + raise ValueError('Elicitation callback failed') + + server = MCPServerStdio( + command='python', args=['-m', 'tests.mcp_server'], elicitation_callback=failing_callback + ) + + # The callback should be set even if it might fail + assert server.elicitation_callback is failing_callback + + async def test_elicitation_callback_with_different_actions(self): + """Test elicitation callback with different action types.""" + + # Test callback that rejects + async def reject_callback( + context: RequestContext[ClientSession, Any], params: types.ElicitRequestParams + ) -> types.ElicitResult | types.ErrorData: + return types.ElicitResult(action='decline', content={}) + + server = MCPServerStdio(command='python', args=['-m', 'tests.mcp_server'], elicitation_callback=reject_callback) + + assert server.elicitation_callback is reject_callback + + async def test_elicitation_callback_error_response(self): + """Test elicitation callback returning error response.""" + + # Test callback that returns error + async def error_callback( + context: RequestContext[ClientSession, Any], params: types.ElicitRequestParams + ) -> types.ElicitResult | types.ErrorData: + return types.ErrorData(code=types.INTERNAL_ERROR, message='Test error message') + + server = MCPServerStdio(command='python', args=['-m', 'tests.mcp_server'], elicitation_callback=error_callback) + + # Test that the callback can be called with expected parameters + mock_context = MagicMock() + mock_params = types.ElicitRequestParams( + message='Test message', requestedSchema={'type': 'object', 'properties': {'test': {'type': 'string'}}} + ) + + result = await server.elicitation_callback(mock_context, mock_params) # type: ignore + assert isinstance(result, types.ErrorData) + assert result.code == types.INTERNAL_ERROR + assert result.message == 'Test error message' + + +class TestMCPElicitationServerIntegration: + """Test MCP elicitation with actual server integration.""" + + async def test_mcp_server_dataclass_fields(self): + """Test that MCP server dataclass properly handles elicitation_callback field.""" + + async def test_callback( + context: RequestContext[ClientSession, Any], params: types.ElicitRequestParams + ) -> types.ElicitResult | types.ErrorData: + return types.ElicitResult(action='accept', content={'result': 'success'}) + + server = MCPServerStdio( + command='python', + args=['-m', 'tests.mcp_server'], + tool_prefix='test', + log_level='info', + timeout=10.0, + elicitation_callback=test_callback, + ) + + # Verify all fields are properly set + assert server.tool_prefix == 'test' + assert server.log_level == 'info' + assert server.timeout == 10.0 + assert server.elicitation_callback is test_callback + + async def test_multiple_mcp_servers_with_different_callbacks(self): + """Test multiple MCP servers with different elicitation callbacks.""" + + async def callback1( + context: RequestContext[ClientSession, Any], params: types.ElicitRequestParams + ) -> types.ElicitResult | types.ErrorData: + return types.ElicitResult(action='accept', content={'result': 'callback1'}) + + async def callback2( + context: RequestContext[ClientSession, Any], params: types.ElicitRequestParams + ) -> types.ElicitResult | types.ErrorData: + return types.ElicitResult(action='accept', content={'result': 'callback2'}) + + server1 = MCPServerStdio(command='python', args=['-m', 'tests.mcp_server'], elicitation_callback=callback1) + + server2 = MCPServerStdio(command='python', args=['-m', 'tests.mcp_server'], elicitation_callback=callback2) + + # Each server should have its own callback + assert server1.elicitation_callback is callback1 + assert server2.elicitation_callback is callback2 + assert server1.elicitation_callback is not server2.elicitation_callback + + async def test_elicitation_callback_with_mcp_server_sse(self): + """Test elicitation callback with SSE MCP server.""" + + async def sse_callback( + context: RequestContext[ClientSession, Any], params: types.ElicitRequestParams + ) -> types.ElicitResult | types.ErrorData: + return types.ElicitResult(action='accept', content={'result': 'sse_result'}) + + server = MCPServerSSE(url='http://localhost:3000/sse', elicitation_callback=sse_callback) + + assert server.elicitation_callback is sse_callback + + async def test_elicitation_callback_inheritance(self): + """Test that elicitation callback works with MCP server inheritance.""" + + async def shared_callback( + context: RequestContext[ClientSession, Any], params: types.ElicitRequestParams + ) -> types.ElicitResult | types.ErrorData: + return types.ElicitResult(action='accept', content={'result': 'inherited'}) + + # Test with different server types + stdio_server = MCPServerStdio( + command='python', args=['-m', 'tests.mcp_server'], elicitation_callback=shared_callback + ) + + sse_server = MCPServerSSE(url='http://localhost:3000/sse', elicitation_callback=shared_callback) + + # Both should have the same callback + assert stdio_server.elicitation_callback is shared_callback + assert sse_server.elicitation_callback is shared_callback + + async def test_elicitation_callback_with_mcp_run_python(self): + """Test elicitation callback with the actual mcp-run-python server.""" + + # Create a callback that simulates tool execution approval + async def python_tool_callback( + context: RequestContext[ClientSession, Any], params: types.ElicitRequestParams + ) -> types.ElicitResult | types.ErrorData: + # This would typically be where UI interaction happens + # For testing, we'll automatically approve Python code execution + return types.ElicitResult( + action='accept', content={'approved': True, 'python_code': 'print("Hello from elicitation!")'} + ) + + # Note: This test doesn't actually run the server, just verifies the callback is set + server = MCPServerStdio( + command='deno', + args=[ + 'run', + '-N', + '-R=mcp-run-python/node_modules', + '-W=mcp-run-python/node_modules', + '--node-modules-dir=auto', + 'mcp-run-python/src/main.ts', + 'stdio', + ], + elicitation_callback=python_tool_callback, + ) + + assert server.elicitation_callback is python_tool_callback + + # Test the callback with proper MCP parameters + mock_context = MagicMock() + mock_params = types.ElicitRequestParams( + message='Execute Python code', + requestedSchema={ + 'type': 'object', + 'properties': {'code': {'type': 'string'}, 'approved': {'type': 'boolean'}}, + }, + ) + + result = await server.elicitation_callback(mock_context, mock_params) # type: ignore + assert isinstance(result, types.ElicitResult) + assert result.action == 'accept' + assert result.content is not None + assert result.content.get('approved') is True + + +class TestMCPRunPythonToolInjection: + """Test MCP run-python tool injection functionality.""" + + @pytest.fixture + def mcp_run_python_server(self): + """Create a basic mcp-run-python server for testing.""" + return MCPServerStdio( + command='deno', + args=[ + 'run', + '-N', + '-R=mcp-run-python/node_modules', + '-W=mcp-run-python/node_modules', + '--node-modules-dir=auto', + 'mcp-run-python/src/main.ts', + 'stdio', + ], + ) + + async def test_tool_injection_basic_functionality(self): + """Test basic tool injection functionality with mcp-run-python.""" + + # Mock elicitation callback that simulates tool execution + async def tool_callback( + context: RequestContext[ClientSession, Any], params: types.ElicitRequestParams + ) -> types.ElicitResult | types.ErrorData: + # Parse the tool request + tool_data = json.loads(params.message) + + if tool_data['tool_name'] == 'web_search': + return types.ElicitResult(action='accept', content={'result': 'Mock search result: Python is awesome'}) + return types.ElicitResult(action='decline', content={}) + + server = MCPServerStdio( + command='deno', + args=[ + 'run', + '-N', + '-R=mcp-run-python/node_modules', + '-W=mcp-run-python/node_modules', + '--node-modules-dir=auto', + 'mcp-run-python/src/main.ts', + 'stdio', + ], + elicitation_callback=tool_callback, + ) + + # Test that the server has the callback configured + assert server.elicitation_callback is tool_callback + + async def test_tool_injection_with_multiple_tools(self): + """Test tool injection with multiple available tools.""" + + # Mock callback that handles multiple tools + async def multi_tool_callback( + context: RequestContext[ClientSession, Any], params: types.ElicitRequestParams + ) -> types.ElicitResult | types.ErrorData: + tool_data = json.loads(params.message) + tool_name = tool_data['tool_name'] + + if tool_name == 'web_search': + return types.ElicitResult(action='accept', content={'result': 'Web search completed'}) + elif tool_name == 'send_email': + return types.ElicitResult(action='accept', content={'result': 'Email sent successfully'}) + elif tool_name == 'database_query': + return types.ElicitResult(action='accept', content={'result': 'Database query executed'}) + else: + return types.ElicitResult(action='decline', content={'error': f'Unknown tool: {tool_name}'}) + + server = MCPServerStdio( + command='deno', + args=[ + 'run', + '-N', + '-R=mcp-run-python/node_modules', + '-W=mcp-run-python/node_modules', + '--node-modules-dir=auto', + 'mcp-run-python/src/main.ts', + 'stdio', + ], + elicitation_callback=multi_tool_callback, + ) + + assert server.elicitation_callback is multi_tool_callback + + async def test_tool_injection_error_handling(self): + """Test error handling in tool injection scenarios.""" + + # Mock callback that returns errors + async def error_callback( + context: RequestContext[ClientSession, Any], params: types.ElicitRequestParams + ) -> types.ElicitResult | types.ErrorData: + return types.ErrorData(code=types.INTERNAL_ERROR, message='Tool execution failed') + + server = MCPServerStdio( + command='deno', + args=[ + 'run', + '-N', + '-R=mcp-run-python/node_modules', + '-W=mcp-run-python/node_modules', + '--node-modules-dir=auto', + 'mcp-run-python/src/main.ts', + 'stdio', + ], + elicitation_callback=error_callback, + ) + + # Test the callback behavior + mock_context = MagicMock() + mock_params = types.ElicitRequestParams( + message='{"tool_name": "failing_tool", "arguments": {}}', + requestedSchema={'type': 'object', 'properties': {'result': {'type': 'string'}}}, + ) + + result = await server.elicitation_callback(mock_context, mock_params) # type: ignore + assert isinstance(result, types.ErrorData) + assert result.code == types.INTERNAL_ERROR + assert result.message == 'Tool execution failed' + + async def test_tool_injection_callback_with_arguments(self): + """Test tool injection callback with various argument types.""" + + # Mock callback that processes different argument types + async def args_callback( + context: RequestContext[ClientSession, Any], params: types.ElicitRequestParams + ) -> types.ElicitResult | types.ErrorData: + tool_data = json.loads(params.message) + tool_name = tool_data['tool_name'] + arguments = tool_data['arguments'] + + if tool_name == 'search_with_query': + query = arguments.get('query', '') + return types.ElicitResult(action='accept', content={'result': f'Search results for: {query}'}) + elif tool_name == 'calculate': + a = arguments.get('a', 0) + b = arguments.get('b', 0) + operation = arguments.get('operation', 'add') + result = a + b if operation == 'add' else a - b + return types.ElicitResult(action='accept', content={'result': str(result)}) + else: + return types.ElicitResult(action='decline', content={}) + + server = MCPServerStdio( + command='deno', + args=[ + 'run', + '-N', + '-R=mcp-run-python/node_modules', + '-W=mcp-run-python/node_modules', + '--node-modules-dir=auto', + 'mcp-run-python/src/main.ts', + 'stdio', + ], + elicitation_callback=args_callback, + ) + + # Test with search query + mock_context = MagicMock() + search_params = types.ElicitRequestParams( + message='{"tool_name": "search_with_query", "arguments": {"query": "python tutorial"}}', + requestedSchema={'type': 'object', 'properties': {'result': {'type': 'string'}}}, + ) + + result = await server.elicitation_callback(mock_context, search_params) # type: ignore + assert isinstance(result, types.ElicitResult) + assert result.action == 'accept' + assert result.content is not None + assert 'python tutorial' in str(result.content.get('result', '')) + + # Test with calculation + calc_params = types.ElicitRequestParams( + message='{"tool_name": "calculate", "arguments": {"a": 5, "b": 3, "operation": "add"}}', + requestedSchema={'type': 'object', 'properties': {'result': {'type': 'string'}}}, + ) + + result = await server.elicitation_callback(mock_context, calc_params) # type: ignore + assert isinstance(result, types.ElicitResult) + assert result.action == 'accept' + assert result.content is not None + assert result.content.get('result') == '8' + + async def test_mcp_run_python_with_agent_integration(self): + """Test mcp-run-python integrated with a PydanticAI Agent.""" + + # Mock callback that simulates agent tool execution + async def agent_tool_callback( + context: RequestContext[ClientSession, Any], params: types.ElicitRequestParams + ) -> types.ElicitResult | types.ErrorData: + tool_data = json.loads(params.message) + tool_name = tool_data['tool_name'] + + # Simulate agent's tool execution + if tool_name == 'get_user_info': + return types.ElicitResult(action='accept', content={'result': '{"name": "John Doe", "age": 30}'}) + elif tool_name == 'send_notification': + return types.ElicitResult(action='accept', content={'result': 'Notification sent'}) + else: + return types.ElicitResult(action='decline', content={'error': f'Tool {tool_name} not available'}) + + # Create MCP server with tool injection capability + mcp_server = MCPServerStdio( + command='deno', + args=[ + 'run', + '-N', + '-R=mcp-run-python/node_modules', + '-W=mcp-run-python/node_modules', + '--node-modules-dir=auto', + 'mcp-run-python/src/main.ts', + 'stdio', + ], + elicitation_callback=agent_tool_callback, + ) + + # Create agent with the MCP server + model = TestModel(custom_output_text='Tool injection test completed') + agent = Agent(model, mcp_servers=[mcp_server]) + + # Verify the agent has the MCP server with elicitation callback + assert len(agent._mcp_servers) == 1 # type: ignore + assert agent._mcp_servers[0].elicitation_callback is agent_tool_callback # type: ignore + + # Test running agent with MCP servers + async with agent.run_mcp_servers(): + # Verify the MCP server is properly integrated + tools = await mcp_server.list_tools() + assert len(tools) == 1 + assert tools[0].name == 'run_python_code' + + async def test_tool_injection_callback_accepts_and_declines(self): + """Test tool injection callback with accept and decline actions.""" + + # Mock callback that accepts some tools and declines others + async def selective_callback( + context: RequestContext[ClientSession, Any], params: types.ElicitRequestParams + ) -> types.ElicitResult | types.ErrorData: + tool_data = json.loads(params.message) + tool_name = tool_data['tool_name'] + + # Accept safe tools, decline potentially harmful ones + safe_tools = ['web_search', 'get_weather', 'calculate'] + if tool_name in safe_tools: + return types.ElicitResult(action='accept', content={'result': f'{tool_name} executed successfully'}) + else: + return types.ElicitResult(action='decline', content={'reason': f'Tool {tool_name} not permitted'}) + + server = MCPServerStdio( + command='deno', + args=[ + 'run', + '-N', + '-R=mcp-run-python/node_modules', + '-W=mcp-run-python/node_modules', + '--node-modules-dir=auto', + 'mcp-run-python/src/main.ts', + 'stdio', + ], + elicitation_callback=selective_callback, + ) + + mock_context = MagicMock() + + # Test accepting safe tool + safe_params = types.ElicitRequestParams( + message='{"tool_name": "web_search", "arguments": {"query": "test"}}', + requestedSchema={'type': 'object', 'properties': {'result': {'type': 'string'}}}, + ) + + result = await server.elicitation_callback(mock_context, safe_params) # type: ignore + assert isinstance(result, types.ElicitResult) + assert result.action == 'accept' + assert result.content is not None + assert 'web_search executed successfully' in str(result.content.get('result', '')) + + # Test declining unsafe tool + unsafe_params = types.ElicitRequestParams( + message='{"tool_name": "delete_file", "arguments": {"path": "/tmp/test"}}', + requestedSchema={'type': 'object', 'properties': {'result': {'type': 'string'}}}, + ) + + result = await server.elicitation_callback(mock_context, unsafe_params) # type: ignore + assert isinstance(result, types.ElicitResult) + assert result.action == 'decline' + assert result.content is not None + assert 'delete_file not permitted' in str(result.content.get('reason', '')) + + async def test_tool_injection_schema_validation(self): + """Test tool injection with proper schema validation.""" + + # Mock callback that validates schemas + async def schema_callback( + context: RequestContext[ClientSession, Any], params: types.ElicitRequestParams + ) -> types.ElicitResult | types.ErrorData: + # Validate that the requested schema is properly formatted + schema = params.requestedSchema + + # Check required schema structure + if schema.get('type') == 'object' and 'properties' in schema and 'result' in schema['properties']: + return types.ElicitResult(action='accept', content={'result': 'Schema validation passed'}) + else: + return types.ErrorData(code=types.INVALID_REQUEST, message='Invalid schema structure') + + server = MCPServerStdio( + command='deno', + args=[ + 'run', + '-N', + '-R=mcp-run-python/node_modules', + '-W=mcp-run-python/node_modules', + '--node-modules-dir=auto', + 'mcp-run-python/src/main.ts', + 'stdio', + ], + elicitation_callback=schema_callback, + ) + + mock_context = MagicMock() + + # Test with valid schema + valid_params = types.ElicitRequestParams( + message='{"tool_name": "test_tool", "arguments": {}}', + requestedSchema={ + 'type': 'object', + 'properties': {'result': {'type': 'string', 'description': 'Result of tool execution'}}, + 'required': ['result'], + }, + ) + + result = await server.elicitation_callback(mock_context, valid_params) # type: ignore + assert isinstance(result, types.ElicitResult) + assert result.action == 'accept' + assert result.content is not None + assert result.content.get('result') == 'Schema validation passed' + + # Test with invalid schema + invalid_params = types.ElicitRequestParams( + message='{"tool_name": "test_tool", "arguments": {}}', + requestedSchema={'type': 'string'}, # Invalid - missing result property + ) + + result = await server.elicitation_callback(mock_context, invalid_params) # type: ignore + assert isinstance(result, types.ErrorData) + assert result.code == types.INVALID_REQUEST + assert result.message == 'Invalid schema structure' + + async def test_tool_injection_timeout_handling(self): + """Test tool injection with timeout scenarios.""" + + # Mock callback that simulates timeout + async def timeout_callback( + context: RequestContext[ClientSession, Any], params: types.ElicitRequestParams + ) -> types.ElicitResult | types.ErrorData: + import asyncio + + tool_data = json.loads(params.message) + tool_name = tool_data['tool_name'] + + if tool_name == 'slow_operation': + # Simulate a slow operation + await asyncio.sleep(0.1) # Small delay for testing + return types.ElicitResult(action='accept', content={'result': 'Slow operation completed'}) + else: + return types.ElicitResult(action='accept', content={'result': 'Fast operation completed'}) + + server = MCPServerStdio( + command='deno', + args=[ + 'run', + '-N', + '-R=mcp-run-python/node_modules', + '-W=mcp-run-python/node_modules', + '--node-modules-dir=auto', + 'mcp-run-python/src/main.ts', + 'stdio', + ], + elicitation_callback=timeout_callback, + ) + + mock_context = MagicMock() + + # Test normal operation + normal_params = types.ElicitRequestParams( + message='{"tool_name": "fast_operation", "arguments": {}}', + requestedSchema={'type': 'object', 'properties': {'result': {'type': 'string'}}}, + ) + + result = await server.elicitation_callback(mock_context, normal_params) # type: ignore + assert isinstance(result, types.ElicitResult) + assert result.action == 'accept' + assert result.content is not None + assert 'Fast operation completed' in str(result.content.get('result', '')) + + # Test slow operation (should still complete) + slow_params = types.ElicitRequestParams( + message='{"tool_name": "slow_operation", "arguments": {}}', + requestedSchema={'type': 'object', 'properties': {'result': {'type': 'string'}}}, + ) + + result = await server.elicitation_callback(mock_context, slow_params) # type: ignore + assert isinstance(result, types.ElicitResult) + assert result.action == 'accept' + assert result.content is not None + assert 'Slow operation completed' in str(result.content.get('result', '')) + + async def test_tool_injection_with_complex_data_types(self): + """Test tool injection with complex data types in arguments and results.""" + + # Mock callback that handles complex data types + async def complex_data_callback( + context: RequestContext[ClientSession, Any], params: types.ElicitRequestParams + ) -> types.ElicitResult | types.ErrorData: + tool_data = json.loads(params.message) + tool_name = tool_data['tool_name'] + arguments = tool_data['arguments'] + + if tool_name == 'process_data': + # Return complex structured data + result_data = { + 'status': 'success', + 'data': { + 'items': arguments.get('items', []), + 'processed_count': len(arguments.get('items', [])), + 'metadata': {'timestamp': '2024-01-01T00:00:00Z', 'processor': 'mcp-tool-injection'}, + }, + } + return types.ElicitResult(action='accept', content={'result': json.dumps(result_data)}) + else: + return types.ElicitResult(action='decline', content={}) + + server = MCPServerStdio( + command='deno', + args=[ + 'run', + '-N', + '-R=mcp-run-python/node_modules', + '-W=mcp-run-python/node_modules', + '--node-modules-dir=auto', + 'mcp-run-python/src/main.ts', + 'stdio', + ], + elicitation_callback=complex_data_callback, + ) + + mock_context = MagicMock() + + # Test with complex input data + complex_params = types.ElicitRequestParams( + message=json.dumps( + { + 'tool_name': 'process_data', + 'arguments': { + 'items': [{'id': 1, 'name': 'item1'}, {'id': 2, 'name': 'item2'}], + 'options': {'sort': True, 'filter': 'active'}, + }, + } + ), + requestedSchema={'type': 'object', 'properties': {'result': {'type': 'string'}}}, + ) + + result = await server.elicitation_callback(mock_context, complex_params) # type: ignore + assert isinstance(result, types.ElicitResult) + assert result.action == 'accept' + assert result.content is not None + + # Verify complex result data + result_json = result.content.get('result') + assert result_json is not None + result_data = json.loads(str(result_json)) + assert result_data['status'] == 'success' + assert result_data['data']['processed_count'] == 2 + assert len(result_data['data']['items']) == 2 + assert 'metadata' in result_data['data'] + + async def test_mcp_run_python_server_basic_functionality(self): + """Test basic mcp-run-python server functionality.""" + server = MCPServerStdio( + command='deno', + args=[ + 'run', + '-N', + '-R=mcp-run-python/node_modules', + '-W=mcp-run-python/node_modules', + '--node-modules-dir=auto', + 'mcp-run-python/src/main.ts', + 'stdio', + ], + ) + + async with server: + tools = await server.list_tools() + assert len(tools) == 1 + assert tools[0].name == 'run_python_code' + assert isinstance(tools[0].description, str) + assert 'Tool to execute Python code' in tools[0].description + assert 'TOOL INJECTION' in tools[0].description + + async def test_mcp_run_python_code_execution(self): + """Test basic Python code execution without tool injection.""" + server = MCPServerStdio( + command='deno', + args=[ + 'run', + '-N', + '-R=mcp-run-python/node_modules', + '-W=mcp-run-python/node_modules', + '--node-modules-dir=auto', + 'mcp-run-python/src/main.ts', + 'stdio', + ], + ) + + async with server: + # Test basic Python execution + result = await server.call_tool( + 'run_python_code', {'python_code': 'print("Hello, World!")\n"Hello from Python"'} + ) + + # Result should be XML-formatted + assert isinstance(result, str) + assert 'success' in result + assert 'Hello, World!' in result + assert 'Hello from Python' in result + + async def test_mcp_run_python_with_tool_injection(self): + """Test mcp-run-python with tool injection enabled.""" + + # Mock callback that simulates the run_python_code tool with tool injection + async def python_code_callback( + context: RequestContext[ClientSession, Any], params: types.ElicitRequestParams + ) -> types.ElicitResult | types.ErrorData: + tool_data = json.loads(params.message) + tool_name = tool_data['tool_name'] + arguments = tool_data['arguments'] + + if tool_name == 'web_search': + query = arguments.get('query', '') + return types.ElicitResult(action='accept', content={'result': f'Web search results for: {query}'}) + elif tool_name == 'calculate': + expression = arguments.get('expression', '') + return types.ElicitResult(action='accept', content={'result': f'Calculation result: {expression} = 42'}) + else: + return types.ElicitResult(action='decline', content={'error': f'Tool {tool_name} not available'}) + + server = MCPServerStdio( + command='deno', + args=[ + 'run', + '-N', + '-R=mcp-run-python/node_modules', + '-W=mcp-run-python/node_modules', + '--node-modules-dir=auto', + 'mcp-run-python/src/main.ts', + 'stdio', + ], + elicitation_callback=python_code_callback, + ) + + async with server: + # Test Python code execution with tool injection + # This should trigger the elicitation callback when tools are called + result = await server.call_tool( + 'run_python_code', + {'python_code': 'print("Testing tool injection")', 'tools': ['web_search', 'calculate']}, + ) + + # Result should indicate tool injection is enabled + assert isinstance(result, str) + assert 'success' in result + assert 'Testing tool injection' in result + + async def test_mcp_run_python_error_handling(self): + """Test error handling in mcp-run-python.""" + server = MCPServerStdio( + command='deno', + args=[ + 'run', + '-N', + '-R=mcp-run-python/node_modules', + '-W=mcp-run-python/node_modules', + '--node-modules-dir=auto', + 'mcp-run-python/src/main.ts', + 'stdio', + ], + ) + + async with server: + # Test Python code with syntax error + result = await server.call_tool('run_python_code', {'python_code': 'print("Missing closing quote)'}) + + # Should return error status + assert isinstance(result, str) + assert 'run-error' in result + assert 'SyntaxError' in result + + async def test_tool_injection_callback_exception_handling(self): + """Test exception handling in tool injection callbacks.""" + + # Mock callback that raises exceptions + async def exception_callback( + context: RequestContext[ClientSession, Any], params: types.ElicitRequestParams + ) -> types.ElicitResult | types.ErrorData: + tool_data = json.loads(params.message) + tool_name = tool_data['tool_name'] + + if tool_name == 'raise_exception': + raise ValueError('Simulated callback exception') + else: + return types.ElicitResult(action='accept', content={'result': 'Success'}) + + server = MCPServerStdio( + command='deno', + args=[ + 'run', + '-N', + '-R=mcp-run-python/node_modules', + '-W=mcp-run-python/node_modules', + '--node-modules-dir=auto', + 'mcp-run-python/src/main.ts', + 'stdio', + ], + elicitation_callback=exception_callback, + ) + + mock_context = MagicMock() + + # Test normal operation + normal_params = types.ElicitRequestParams( + message=json.dumps({'tool_name': 'normal_tool', 'arguments': {}}), + requestedSchema={'type': 'object', 'properties': {'result': {'type': 'string'}}}, + ) + + result = await server.elicitation_callback(mock_context, normal_params) # type: ignore + assert isinstance(result, types.ElicitResult) + assert result.action == 'accept' + assert result.content is not None + assert result.content.get('result') == 'Success' + + # Test exception handling + exception_params = types.ElicitRequestParams( + message=json.dumps({'tool_name': 'raise_exception', 'arguments': {}}), + requestedSchema={'type': 'object', 'properties': {'result': {'type': 'string'}}}, + ) + + with pytest.raises(ValueError, match='Simulated callback exception'): + await server.elicitation_callback(mock_context, exception_params) # type: ignore + + async def test_tool_injection_with_streaming_response(self): + """Test tool injection with streaming or large responses.""" + + # Mock callback that simulates streaming or large data responses + async def streaming_callback( + context: RequestContext[ClientSession, Any], params: types.ElicitRequestParams + ) -> types.ElicitResult | types.ErrorData: + tool_data = json.loads(params.message) + tool_name = tool_data['tool_name'] + + if tool_name == 'large_data': + # Simulate large data response + large_data = {'data': ['item' + str(i) for i in range(100)]} + return types.ElicitResult(action='accept', content={'result': json.dumps(large_data)}) + elif tool_name == 'streaming_data': + # Simulate streaming-like response + stream_data = { + 'chunks': [ + {'id': 1, 'content': 'First chunk'}, + {'id': 2, 'content': 'Second chunk'}, + {'id': 3, 'content': 'Third chunk'}, + ] + } + return types.ElicitResult(action='accept', content={'result': json.dumps(stream_data)}) + else: + return types.ElicitResult(action='decline', content={}) + + server = MCPServerStdio( + command='deno', + args=[ + 'run', + '-N', + '-R=mcp-run-python/node_modules', + '-W=mcp-run-python/node_modules', + '--node-modules-dir=auto', + 'mcp-run-python/src/main.ts', + 'stdio', + ], + elicitation_callback=streaming_callback, + ) + + mock_context = MagicMock() + + # Test large data response + large_data_params = types.ElicitRequestParams( + message=json.dumps({'tool_name': 'large_data', 'arguments': {}}), + requestedSchema={'type': 'object', 'properties': {'result': {'type': 'string'}}}, + ) + + result = await server.elicitation_callback(mock_context, large_data_params) # type: ignore + assert isinstance(result, types.ElicitResult) + assert result.action == 'accept' + assert result.content is not None + + result_json = result.content.get('result') + assert result_json is not None + large_data_result = json.loads(str(result_json)) + assert len(large_data_result['data']) == 100 + assert large_data_result['data'][0] == 'item0' + assert large_data_result['data'][99] == 'item99' + + # Test streaming data response + streaming_params = types.ElicitRequestParams( + message=json.dumps({'tool_name': 'streaming_data', 'arguments': {}}), + requestedSchema={'type': 'object', 'properties': {'result': {'type': 'string'}}}, + ) + + result = await server.elicitation_callback(mock_context, streaming_params) # type: ignore + assert isinstance(result, types.ElicitResult) + assert result.action == 'accept' + assert result.content is not None + + result_json = result.content.get('result') + assert result_json is not None + streaming_result = json.loads(str(result_json)) + assert len(streaming_result['chunks']) == 3 + assert streaming_result['chunks'][0]['content'] == 'First chunk' + assert streaming_result['chunks'][2]['content'] == 'Third chunk' + + async def test_mcp_run_python_with_dependencies(self): + """Test mcp-run-python with Python dependencies.""" + server = MCPServerStdio( + command='deno', + args=[ + 'run', + '-N', + '-R=mcp-run-python/node_modules', + '-W=mcp-run-python/node_modules', + '--node-modules-dir=auto', + 'mcp-run-python/src/main.ts', + 'stdio', + ], + ) + + async with server: + # Test code with dependencies + result = await server.call_tool( + 'run_python_code', + { + 'python_code': """ +# /// script +# dependencies = ['numpy'] +# /// +import numpy as np +arr = np.array([1, 2, 3]) +print(f"Array: {arr}") +str(arr.sum()) +""" + }, + ) + + # Should successfully execute with numpy + assert isinstance(result, str) + assert 'success' in result + assert 'Array: [1 2 3]' in result + assert '\n6\n' in result or '6' in result + + async def test_mcp_run_python_with_tool_prefix(self): + """Test mcp-run-python server with tool prefix.""" + server = MCPServerStdio( + command='deno', + args=[ + 'run', + '-N', + '-R=mcp-run-python/node_modules', + '-W=mcp-run-python/node_modules', + '--node-modules-dir=auto', + 'mcp-run-python/src/main.ts', + 'stdio', + ], + tool_prefix='python', + ) + + async with server: + tools = await server.list_tools() + assert len(tools) == 1 + assert tools[0].name == 'python_run_python_code' + + async def test_mcp_run_python_timeout_setting(self): + """Test mcp-run-python server with timeout setting.""" + server = MCPServerStdio( + command='deno', + args=[ + 'run', + '-N', + '-R=mcp-run-python/node_modules', + '-W=mcp-run-python/node_modules', + '--node-modules-dir=auto', + 'mcp-run-python/src/main.ts', + 'stdio', + ], + timeout=30.0, + ) + + assert server.timeout == 30.0 + + async with server: + # Test basic execution still works + result = await server.call_tool('run_python_code', {'python_code': 'print("Timeout test")'}) + + assert isinstance(result, str) + assert 'success' in result + assert 'Timeout test' in result diff --git a/uv.lock b/uv.lock index 73e1ef90c..a8f034f26 100644 --- a/uv.lock +++ b/uv.lock @@ -1612,6 +1612,33 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/01/0e/b27cdbaccf30b890c40ed1da9fd4a3593a5cf94dae54fb34f8a4b74fcd3f/jsonschema_specifications-2025.4.1-py3-none-any.whl", hash = "sha256:4653bffbd6584f7de83a67e0d620ef16900b390ddc7939d56684d6c81e33f1af", size = 18437, upload-time = "2025-04-23T12:34:05.422Z" }, ] +[[package]] +name = "jsonschema" +version = "4.24.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "attrs", marker = "python_full_version >= '3.10'" }, + { name = "jsonschema-specifications", marker = "python_full_version >= '3.10'" }, + { name = "referencing", marker = "python_full_version >= '3.10'" }, + { name = "rpds-py", marker = "python_full_version >= '3.10'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/bf/d3/1cf5326b923a53515d8f3a2cd442e6d7e94fcc444716e879ea70a0ce3177/jsonschema-4.24.0.tar.gz", hash = "sha256:0b4e8069eb12aedfa881333004bccaec24ecef5a8a6a4b6df142b2cc9599d196", size = 353480, upload-time = "2025-05-26T18:48:10.459Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/a2/3d/023389198f69c722d039351050738d6755376c8fd343e91dc493ea485905/jsonschema-4.24.0-py3-none-any.whl", hash = "sha256:a462455f19f5faf404a7902952b6f0e3ce868f3ee09a359b05eca6673bd8412d", size = 88709, upload-time = "2025-05-26T18:48:08.417Z" }, +] + +[[package]] +name = "jsonschema-specifications" +version = "2025.4.1" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "referencing", marker = "python_full_version >= '3.10'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/bf/ce/46fbd9c8119cfc3581ee5643ea49464d168028cfb5caff5fc0596d0cf914/jsonschema_specifications-2025.4.1.tar.gz", hash = "sha256:630159c9f4dbea161a6a2205c3011cc4f18ff381b189fff48bb39b9bf26ae608", size = 15513, upload-time = "2025-04-23T12:34:07.418Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/01/0e/b27cdbaccf30b890c40ed1da9fd4a3593a5cf94dae54fb34f8a4b74fcd3f/jsonschema_specifications-2025.4.1-py3-none-any.whl", hash = "sha256:4653bffbd6584f7de83a67e0d620ef16900b390ddc7939d56684d6c81e33f1af", size = 18437, upload-time = "2025-04-23T12:34:05.422Z" }, +] + [[package]] name = "logfire" version = "3.17.0" @@ -1846,7 +1873,7 @@ wheels = [ [[package]] name = "mcp" -version = "1.12.1" +version = "1.11.0" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "anyio", marker = "python_full_version >= '3.10'" }, @@ -1861,9 +1888,9 @@ dependencies = [ { name = "starlette", marker = "python_full_version >= '3.10'" }, 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"https://files.pythonhosted.org/packages/92/9c/c9ca79f9c512e4113a5d07043013110bb3369fc7770040c61378c7fbcf70/mcp-1.11.0-py3-none-any.whl", hash = "sha256:58deac37f7483e4b338524b98bc949b7c2b7c33d978f5fafab5bde041c5e2595", size = 155880, upload-time = "2025-07-10T16:41:07.935Z" }, ] [package.optional-dependencies] @@ -3231,8 +3258,8 @@ requires-dist = [ { name = "httpx", specifier = ">=0.27" }, { name = "huggingface-hub", extras = ["inference"], marker = "extra == 'huggingface'", specifier = ">=0.33.5" }, { name = "logfire", marker = "extra == 'logfire'", specifier = ">=3.11.0" }, - { name = "mcp", marker = "python_full_version >= '3.10' and extra == 'mcp'", specifier = ">=1.10.0" }, - { name = "mistralai", marker = "extra == 'mistral'", specifier = ">=1.9.2" }, + { name = "mcp", marker = "python_full_version >= '3.10' and extra == 'mcp'", specifier = ">=1.11.0" }, + { name = "mistralai", marker = "extra == 'mistral'", specifier = ">=1.2.5" }, { name = "openai", marker = "extra == 'openai'", specifier = ">=1.92.0" }, { name = "opentelemetry-api", specifier = ">=1.28.0" }, { name = "prompt-toolkit", marker = "extra == 'cli'", specifier = ">=3" }, From 570a379c140f9a4ddce7af7bde022d057ac89e66 Mon Sep 17 00:00:00 2001 From: Yaman Ahlawat Date: Sat, 19 Jul 2025 23:47:51 +0530 Subject: [PATCH 2/7] refactor: mcp-run-python main deno --- mcp-run-python/src/main.ts | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/mcp-run-python/src/main.ts b/mcp-run-python/src/main.ts index a55120593..9b7ffcdc7 100644 --- a/mcp-run-python/src/main.ts +++ b/mcp-run-python/src/main.ts @@ -17,7 +17,7 @@ import { asXml, runCode, runCodeWithToolInjection, type ToolInjectionConfig } fr const VERSION = '0.0.14' export async function main() { - const args = globalThis.Deno?.args || [] + const args = Deno?.args || [] if (args.length === 1 && args[0] === 'stdio') { await runStdio() } else if (args.length >= 1 && args[0] === 'streamable_http') { @@ -46,7 +46,7 @@ Usage: deno run -N -R=node_modules -W=node_modules --node-modules-dir=auto jsr:@ options: --port Port to run the SSE server on (default: 3001)`, ) - globalThis.Deno?.exit(1) + Deno?.exit(1) } } @@ -56,7 +56,7 @@ options: function createServer(): McpServer { const server = new McpServer( { - name: 'MCP Run Python with Tool Injection', + name: 'MCP Run Python', version: VERSION, }, { From 614b4772988c9c2694e80d2554d178b703cf3c1d Mon Sep 17 00:00:00 2001 From: Yaman Ahlawat Date: Sun, 20 Jul 2025 15:39:33 +0530 Subject: [PATCH 3/7] feat: replace global _mcp_servers with toolsets --- mcp-run-python/src/main.ts | 7 ++ mcp-run-python/src/runCode.ts | 2 + mcp-run-python/src/tool_injection.py | 32 ++++++--- pydantic_ai_slim/pydantic_ai/agent.py | 99 ++++++++++++++++----------- tests/test_mcp_elicitation.py | 36 ++++++---- 5 files changed, 114 insertions(+), 62 deletions(-) diff --git a/mcp-run-python/src/main.ts b/mcp-run-python/src/main.ts index 9b7ffcdc7..de3ed2de1 100644 --- a/mcp-run-python/src/main.ts +++ b/mcp-run-python/src/main.ts @@ -106,13 +106,19 @@ The tools are injected into the global namespace automatically - no discovery fu .array(z.string()) .optional() .describe('List of available tools for injection (enables tool injection when provided)'), + tool_name_mapping: z + .record(z.string()) + .optional() + .describe('Mapping of python_name -> original_mcp_name for tool name conversion'), }, async ({ python_code, tools = [], + tool_name_mapping = {}, }: { python_code: string tools?: string[] + tool_name_mapping?: Record }) => { const logPromises: Promise[] = [] @@ -179,6 +185,7 @@ The tools are injected into the global namespace automatically - no discovery fu { enableToolInjection: true, availableTools: tools, + toolNameMapping: tool_name_mapping, timeoutSeconds: 30, elicitationCallback, } as ToolInjectionConfig, diff --git a/mcp-run-python/src/runCode.ts b/mcp-run-python/src/runCode.ts index 9e13f2cc6..8ef12dcdd 100644 --- a/mcp-run-python/src/runCode.ts +++ b/mcp-run-python/src/runCode.ts @@ -13,6 +13,7 @@ export interface CodeFile { export interface ToolInjectionConfig { enableToolInjection: boolean availableTools: string[] + toolNameMapping?: Record // python_name -> original_mcp_name timeoutSeconds: number // deno-lint-ignore no-explicit-any elicitationCallback?: (request: any) => Promise @@ -157,6 +158,7 @@ function injectToolFunctions( globals, config.availableTools, tool_callback, + config.toolNameMapping, ) log('info', `Tool injection complete. Available tools: ${config.availableTools.join(', ')}`) diff --git a/mcp-run-python/src/tool_injection.py b/mcp-run-python/src/tool_injection.py index b4b3a6aef..43813f15b 100644 --- a/mcp-run-python/src/tool_injection.py +++ b/mcp-run-python/src/tool_injection.py @@ -58,38 +58,52 @@ def _handle_tool_callback_result(result: Any, tool_name: str) -> Any: return result -def _create_tool_function(tool_name: str, tool_callback: Callable[[Any], Any]) -> Callable[..., Any]: +def _create_tool_function( + tool_name: str, tool_callback: Callable[[Any], Any], globals_dict: dict[str, Any] +) -> Callable[..., Any]: """Create a tool function that can be called from Python.""" def tool_function(*args: Any, **kwargs: Any) -> Any: """Synchronous tool function that handles the async callback properly.""" - # Note: tool_callback is guaranteed to be not None due to check in inject_tool_functions - elicitation_request = _create_elicitation_request(tool_name, args, kwargs) + # Get the actual MCP tool name from the stored mapping + tool_mapping = globals_dict.get('__tool_name_mapping__', {}) + actual_tool_name = tool_mapping.get(tool_name, tool_name) + + elicitation_request = _create_elicitation_request(actual_tool_name, args, kwargs) try: result = tool_callback(elicitation_request) - return _handle_tool_callback_result(result, tool_name) + return _handle_tool_callback_result(result, actual_tool_name) except Exception as e: - raise Exception(f'Tool {tool_name} failed: {str(e)}') + raise Exception(f'Tool {actual_tool_name} failed: {str(e)}') return tool_function def inject_tool_functions( - globals_dict: dict[str, Any], available_tools: list[str], tool_callback: Callable[[Any], Any] | None = None + globals_dict: dict[str, Any], + available_tools: list[str], + tool_callback: Callable[[Any], Any] | None = None, + tool_name_mapping: dict[str, str] | None = None, ) -> None: """Inject tool functions into the global namespace. Args: globals_dict: Global namespace to inject tools into - available_tools: List of available tool names + available_tools: List of available tool names (should be Python-valid identifiers) tool_callback: Optional callback for tool execution + tool_name_mapping: Optional mapping of python_name -> original_mcp_name """ if not available_tools: return - # Inject tool functions into globals + # Store the tool name mapping globally for elicitation callback to use + if tool_name_mapping: + globals_dict['__tool_name_mapping__'] = tool_name_mapping + + # Inject tool functions into globals using Python-valid names for tool_name in available_tools: if tool_callback is not None: - globals_dict[tool_name] = _create_tool_function(tool_name, tool_callback) + # tool_name should already be a valid Python identifier from agent.py + globals_dict[tool_name] = _create_tool_function(tool_name, tool_callback, globals_dict) diff --git a/pydantic_ai_slim/pydantic_ai/agent.py b/pydantic_ai_slim/pydantic_ai/agent.py index 66eac7410..e575ea2f9 100644 --- a/pydantic_ai_slim/pydantic_ai/agent.py +++ b/pydantic_ai_slim/pydantic_ai/agent.py @@ -12,6 +12,7 @@ from types import FrameType from typing import TYPE_CHECKING, Any, Callable, ClassVar, Generic, cast, final, overload +from mcp import types as mcp_types from opentelemetry.trace import NoOpTracer, use_span from pydantic.json_schema import GenerateJsonSchema from typing_extensions import Literal, Never, Self, TypeIs, TypeVar, deprecated @@ -70,7 +71,6 @@ from fasta2a.broker import Broker from fasta2a.schema import AgentProvider, Skill from fasta2a.storage import Storage - from mcp import types as mcp_types from starlette.middleware import Middleware from starlette.routing import BaseRoute, Route from starlette.types import ExceptionHandler, Lifespan @@ -1849,23 +1849,36 @@ async def elicitation_callback(context: Any, params: Any) -> Any: return mcp_types.ElicitResult(action='accept', content={'result': str(result)}) - # Try MCP tools with name mapping - actual_tool_name = tool_name.replace('_', '-') - + # Find the MCP server that has this tool + target_server = None for toolset in self._user_toolsets: if not isinstance(toolset, MCPServer): continue - mcp_server = toolset - if 'mcp-run-python' in str(mcp_server): + if 'mcp-run-python' in str(toolset): continue + # Check if this server has the tool try: - result = await mcp_server.direct_call_tool(actual_tool_name, tool_arguments) - return mcp_types.ElicitResult(action='accept', content={'result': str(result)}) + server_tools = await toolset.list_tools() + for tool_def in server_tools: + if tool_def.name == tool_name: + target_server = toolset + break + if target_server: + break except Exception: continue - return mcp_types.ErrorData(code=mcp_types.INVALID_PARAMS, message=f'Tool {tool_name} not found') + if target_server: + try: + result = await target_server.direct_call_tool(tool_name, tool_arguments) + return mcp_types.ElicitResult(action='accept', content={'result': str(result)}) + except Exception as e: + return mcp_types.ErrorData( + code=mcp_types.INTERNAL_ERROR, message=f'Tool execution failed: {str(e)}' + ) + else: + return mcp_types.ErrorData(code=mcp_types.INVALID_PARAMS, message=f'Tool {tool_name} not found') except Exception as e: return mcp_types.ErrorData(code=mcp_types.INTERNAL_ERROR, message=f'Tool execution failed: {str(e)}') @@ -1883,30 +1896,37 @@ async def auto_inject_tools_callback( ) -> Any: """Auto-inject available tools into run_python_code calls.""" if tool_name == 'run_python_code': - # Auto-inject available tools if not already provided - if 'tools' not in arguments or not arguments['tools']: - available_tools: list[str] = [] - - # Add function tools - available_tools.extend(list(self._function_toolset.tools.keys())) - - for toolset in self._user_toolsets: - if not isinstance(toolset, MCPServer): - continue - mcp_server = toolset - if 'mcp-run-python' in str(mcp_server): - continue - - try: - server_tools = await mcp_server.list_tools() - for tool_def in server_tools: - python_name = tool_def.name.replace('-', '_') - available_tools.append(python_name) - except Exception: - # Silently continue if we can't get tools from a server - pass - - arguments['tools'] = available_tools + # Always auto-inject all available tools for Python code execution + available_tools: list[str] = [] + tool_name_mapping: dict[str, str] = {} + + # Add function tools + function_tools = list(self._function_toolset.tools.keys()) + available_tools.extend(function_tools) + for func_tool_name in function_tools: + tool_name_mapping[func_tool_name] = func_tool_name + + # Add MCP server tools with proper name conversion + for toolset in self._user_toolsets: + if not isinstance(toolset, MCPServer): + continue + if 'mcp-run-python' in str(toolset): + continue + + try: + server_tools = await toolset.list_tools() + for tool_def in server_tools: + original_name = tool_def.name + python_name = original_name.replace('-', '_') + available_tools.append(python_name) + tool_name_mapping[python_name] = original_name + except Exception: + # Silently continue if we can't get tools from a server + pass + + # Always provide all available tools and mapping + arguments['tools'] = available_tools + arguments['tool_name_mapping'] = tool_name_mapping # Continue with normal processing return await call_tool_func(tool_name, arguments, None) @@ -1937,17 +1957,16 @@ async def run_mcp_servers( for toolset in self._user_toolsets: if isinstance(toolset, MCPServer): - mcp_server = toolset if ( - hasattr(mcp_server, 'allow_elicitation') - and mcp_server.allow_elicitation - and mcp_server.elicitation_callback is None + hasattr(toolset, 'allow_elicitation') + and toolset.allow_elicitation + and toolset.elicitation_callback is None ): - mcp_server.elicitation_callback = self._create_elicitation_callback() + toolset.elicitation_callback = self._create_elicitation_callback() # Also setup auto-tool-injection for run_python_code if not already set - if mcp_server.process_tool_call is None: - mcp_server.process_tool_call = self._create_auto_tool_injection_callback() + if toolset.process_tool_call is None: + toolset.process_tool_call = self._create_auto_tool_injection_callback() async with self: yield diff --git a/tests/test_mcp_elicitation.py b/tests/test_mcp_elicitation.py index 792aff709..ed6edbb58 100644 --- a/tests/test_mcp_elicitation.py +++ b/tests/test_mcp_elicitation.py @@ -82,11 +82,15 @@ async def mock_elicitation( ) model = TestModel(custom_output_text='Test response') - agent = Agent(model, mcp_servers=[server]) + agent = Agent(model, toolsets=[server]) # Verify the server is properly configured - assert len(agent._mcp_servers) == 1 # type: ignore - assert agent._mcp_servers[0].elicitation_callback is mock_elicitation # type: ignore + toolsets = getattr(agent, '_user_toolsets', []) + mcp_servers = [ts for ts in toolsets if hasattr(ts, '__class__') and 'MCPServer' in ts.__class__.__name__] + assert len(mcp_servers) == 1 + # Use getattr to safely check elicitation_callback + callback = getattr(mcp_servers[0], 'elicitation_callback', None) + assert callback is mock_elicitation async def test_elicitation_callback_error_handling(self): """Test error handling in elicitation callback.""" @@ -483,14 +487,19 @@ async def agent_tool_callback( # Create agent with the MCP server model = TestModel(custom_output_text='Tool injection test completed') - agent = Agent(model, mcp_servers=[mcp_server]) + agent = Agent(model, toolsets=[mcp_server]) # Verify the agent has the MCP server with elicitation callback - assert len(agent._mcp_servers) == 1 # type: ignore - assert agent._mcp_servers[0].elicitation_callback is agent_tool_callback # type: ignore + # Note: Using getattr to safely access toolsets for testing + toolsets = getattr(agent, '_user_toolsets', []) + mcp_servers = [ts for ts in toolsets if hasattr(ts, '__class__') and 'MCPServer' in ts.__class__.__name__] + assert len(mcp_servers) == 1 + # Use getattr to safely check elicitation_callback + callback = getattr(mcp_servers[0], 'elicitation_callback', None) + assert callback is agent_tool_callback # Test running agent with MCP servers - async with agent.run_mcp_servers(): + async with agent: # Verify the MCP server is properly integrated tools = await mcp_server.list_tools() assert len(tools) == 1 @@ -780,7 +789,7 @@ async def test_mcp_run_python_code_execution(self): async with server: # Test basic Python execution - result = await server.call_tool( + result = await server.direct_call_tool( 'run_python_code', {'python_code': 'print("Hello, World!")\n"Hello from Python"'} ) @@ -827,7 +836,7 @@ async def python_code_callback( async with server: # Test Python code execution with tool injection # This should trigger the elicitation callback when tools are called - result = await server.call_tool( + result = await server.direct_call_tool( 'run_python_code', {'python_code': 'print("Testing tool injection")', 'tools': ['web_search', 'calculate']}, ) @@ -854,7 +863,7 @@ async def test_mcp_run_python_error_handling(self): async with server: # Test Python code with syntax error - result = await server.call_tool('run_python_code', {'python_code': 'print("Missing closing quote)'}) + result = await server.direct_call_tool('run_python_code', {'python_code': 'print("Missing closing quote)'}) # Should return error status assert isinstance(result, str) @@ -1009,7 +1018,7 @@ async def test_mcp_run_python_with_dependencies(self): async with server: # Test code with dependencies - result = await server.call_tool( + result = await server.direct_call_tool( 'run_python_code', { 'python_code': """ @@ -1049,7 +1058,8 @@ async def test_mcp_run_python_with_tool_prefix(self): async with server: tools = await server.list_tools() assert len(tools) == 1 - assert tools[0].name == 'python_run_python_code' + # list_tools() returns original tool names without prefix + assert tools[0].name == 'run_python_code' async def test_mcp_run_python_timeout_setting(self): """Test mcp-run-python server with timeout setting.""" @@ -1071,7 +1081,7 @@ async def test_mcp_run_python_timeout_setting(self): async with server: # Test basic execution still works - result = await server.call_tool('run_python_code', {'python_code': 'print("Timeout test")'}) + result = await server.direct_call_tool('run_python_code', {'python_code': 'print("Timeout test")'}) assert isinstance(result, str) assert 'success' in result From 797cd922f9aa8d12794f3bdffe99711d069cfbaf Mon Sep 17 00:00:00 2001 From: Yaman Ahlawat Date: Fri, 25 Jul 2025 16:14:26 +0530 Subject: [PATCH 4/7] refactor: simplify MCP elicitation by removing tool name mapping complexity --- mcp-run-python/src/tool_injection.py | 26 +--- pydantic_ai_slim/pydantic_ai/agent.py | 168 ++++++-------------- pydantic_ai_slim/pydantic_ai/mcp.py | 179 +++++++++++++++++++++- tests/test_mcp_elicitation.py | 212 +++++++++++++++++++++++++- 4 files changed, 435 insertions(+), 150 deletions(-) diff --git a/mcp-run-python/src/tool_injection.py b/mcp-run-python/src/tool_injection.py index 43813f15b..7b536214e 100644 --- a/mcp-run-python/src/tool_injection.py +++ b/mcp-run-python/src/tool_injection.py @@ -64,19 +64,14 @@ def _create_tool_function( """Create a tool function that can be called from Python.""" def tool_function(*args: Any, **kwargs: Any) -> Any: - """Synchronous tool function that handles the async callback properly.""" - - # Get the actual MCP tool name from the stored mapping - tool_mapping = globals_dict.get('__tool_name_mapping__', {}) - actual_tool_name = tool_mapping.get(tool_name, tool_name) - - elicitation_request = _create_elicitation_request(actual_tool_name, args, kwargs) + """Tool function that calls the MCP elicitation callback.""" + elicitation_request = _create_elicitation_request(tool_name=tool_name, args=args, kwargs=kwargs) try: result = tool_callback(elicitation_request) - return _handle_tool_callback_result(result, actual_tool_name) + return _handle_tool_callback_result(result, tool_name) except Exception as e: - raise Exception(f'Tool {actual_tool_name} failed: {str(e)}') + raise Exception(f'Tool {tool_name} failed: {str(e)}') return tool_function @@ -85,25 +80,18 @@ def inject_tool_functions( globals_dict: dict[str, Any], available_tools: list[str], tool_callback: Callable[[Any], Any] | None = None, - tool_name_mapping: dict[str, str] | None = None, ) -> None: """Inject tool functions into the global namespace. Args: globals_dict: Global namespace to inject tools into - available_tools: List of available tool names (should be Python-valid identifiers) + available_tools: List of available tool names tool_callback: Optional callback for tool execution - tool_name_mapping: Optional mapping of python_name -> original_mcp_name """ if not available_tools: return - # Store the tool name mapping globally for elicitation callback to use - if tool_name_mapping: - globals_dict['__tool_name_mapping__'] = tool_name_mapping - - # Inject tool functions into globals using Python-valid names for tool_name in available_tools: if tool_callback is not None: - # tool_name should already be a valid Python identifier from agent.py - globals_dict[tool_name] = _create_tool_function(tool_name, tool_callback, globals_dict) + python_name = tool_name.replace('-', '_') + globals_dict[python_name] = _create_tool_function(tool_name, tool_callback, globals_dict) diff --git a/pydantic_ai_slim/pydantic_ai/agent.py b/pydantic_ai_slim/pydantic_ai/agent.py index e575ea2f9..4c9a5bd33 100644 --- a/pydantic_ai_slim/pydantic_ai/agent.py +++ b/pydantic_ai_slim/pydantic_ai/agent.py @@ -12,7 +12,6 @@ from types import FrameType from typing import TYPE_CHECKING, Any, Callable, ClassVar, Generic, cast, final, overload -from mcp import types as mcp_types from opentelemetry.trace import NoOpTracer, use_span from pydantic.json_schema import GenerateJsonSchema from typing_extensions import Literal, Never, Self, TypeIs, TypeVar, deprecated @@ -34,7 +33,7 @@ from ._agent_graph import HistoryProcessor from ._output import OutputToolset from ._tool_manager import ToolManager -from .mcp import MCPServer +from .mcp import MCPServer, create_auto_tool_injection_callback, create_tool_elicitation_callback from .models.instrumented import InstrumentationSettings, InstrumentedModel, instrument_model from .output import OutputDataT, OutputSpec from .profiles import ModelProfile @@ -1697,7 +1696,6 @@ def _get_toolset( if self._prepare_output_tools: output_toolset = PreparedToolset(output_toolset, self._prepare_output_tools) all_toolsets = [output_toolset, *all_toolsets] - return CombinedToolset(all_toolsets) def _infer_name(self, function_frame: FrameType | None) -> None: @@ -1825,113 +1823,50 @@ def _set_sampling_model(toolset: AbstractToolset[AgentDepsT]) -> None: self._get_toolset().apply(_set_sampling_model) - def _create_elicitation_callback(self): - """Create an elicitation callback that routes to this agent's tools.""" + def set_mcp_elicitation_toolset(self, toolset_for_elicitation: AbstractToolset[Any] | None = None) -> None: + """Set the toolset to use for MCP elicitation callbacks. - async def elicitation_callback(context: Any, params: Any) -> Any: - """Handle elicitation requests by delegating to the agent's tools.""" - try: - tool_execution_data = json.loads(params.message) - tool_name = tool_execution_data.get('tool_name') - tool_arguments = tool_execution_data.get('arguments', {}) - - # Try function tools first - function_tools = self._function_toolset.tools - if tool_name in function_tools: - tool_func = function_tools[tool_name].function_schema.function - - # Handle both sync and async functions - - if inspect.iscoroutinefunction(tool_func): - result = await tool_func(**tool_arguments) - else: - result = tool_func(**tool_arguments) - - return mcp_types.ElicitResult(action='accept', content={'result': str(result)}) - - # Find the MCP server that has this tool - target_server = None - for toolset in self._user_toolsets: - if not isinstance(toolset, MCPServer): - continue - if 'mcp-run-python' in str(toolset): - continue - - # Check if this server has the tool - try: - server_tools = await toolset.list_tools() - for tool_def in server_tools: - if tool_def.name == tool_name: - target_server = toolset - break - if target_server: - break - except Exception: - continue - - if target_server: - try: - result = await target_server.direct_call_tool(tool_name, tool_arguments) - return mcp_types.ElicitResult(action='accept', content={'result': str(result)}) - except Exception as e: - return mcp_types.ErrorData( - code=mcp_types.INTERNAL_ERROR, message=f'Tool execution failed: {str(e)}' - ) - else: - return mcp_types.ErrorData(code=mcp_types.INVALID_PARAMS, message=f'Tool {tool_name} not found') - - except Exception as e: - return mcp_types.ErrorData(code=mcp_types.INTERNAL_ERROR, message=f'Tool execution failed: {str(e)}') - - return elicitation_callback - - def _create_auto_tool_injection_callback(self): - """Create a callback that auto-injects available tools into run_python_code calls.""" - - async def auto_inject_tools_callback( - ctx: RunContext[Any], - call_tool_func: Callable[[str, dict[str, Any], dict[str, Any] | None], Awaitable[Any]], - tool_name: str, - arguments: dict[str, Any], - ) -> Any: - """Auto-inject available tools into run_python_code calls.""" - if tool_name == 'run_python_code': - # Always auto-inject all available tools for Python code execution - available_tools: list[str] = [] - tool_name_mapping: dict[str, str] = {} - - # Add function tools - function_tools = list(self._function_toolset.tools.keys()) - available_tools.extend(function_tools) - for func_tool_name in function_tools: - tool_name_mapping[func_tool_name] = func_tool_name - - # Add MCP server tools with proper name conversion - for toolset in self._user_toolsets: - if not isinstance(toolset, MCPServer): - continue - if 'mcp-run-python' in str(toolset): - continue - - try: - server_tools = await toolset.list_tools() - for tool_def in server_tools: - original_name = tool_def.name - python_name = original_name.replace('-', '_') - available_tools.append(python_name) - tool_name_mapping[python_name] = original_name - except Exception: - # Silently continue if we can't get tools from a server - pass - - # Always provide all available tools and mapping - arguments['tools'] = available_tools - arguments['tool_name_mapping'] = tool_name_mapping - - # Continue with normal processing - return await call_tool_func(tool_name, arguments, None) - - return auto_inject_tools_callback + This method configures all MCP servers in the agent's toolsets to use the provided + toolset for handling elicitation requests (tool injection). This enables Python code + executed via mcp-run-python to call back to the agent's tools. + + Args: + toolset_for_elicitation: Toolset to use for tool injection via elicitation. + If None, uses the agent's complete toolset. + + Example: + ```python + agent = Agent('openai:gpt-4o') + agent.tool(web_search) + agent.tool(send_email) + + mcp_server = MCPServerStdio(command='deno', args=[...], allow_elicitation=True) + agent.add_toolset(mcp_server) + + # Enable tool injection with all agent tools + agent.set_mcp_elicitation_toolset() + + # Or use specific toolset + custom_toolset = FunctionToolset(web_search) + agent.set_mcp_elicitation_toolset(custom_toolset) + ``` + """ + if toolset_for_elicitation is None: + # Use complete toolset for both elicitation and injection + toolset_for_elicitation = self._get_toolset() + + # Set up callbacks for all MCP servers + def _set_elicitation_toolset(toolset: AbstractToolset[Any]) -> None: + if isinstance(toolset, MCPServer) and toolset.allow_elicitation: + # Set up elicitation callback + if toolset.elicitation_callback is None: + toolset.elicitation_callback = create_tool_elicitation_callback(toolset=toolset_for_elicitation) + + # Set up tool injection callback + if toolset.process_tool_call is None: + toolset.process_tool_call = create_auto_tool_injection_callback(toolset=toolset_for_elicitation) + + self._get_toolset().apply(_set_elicitation_toolset) @asynccontextmanager @deprecated( @@ -1953,21 +1888,6 @@ async def run_mcp_servers( if model is not None: raise - # Auto-setup elicitation callback if allow_elicitation is True and no callback is set - - for toolset in self._user_toolsets: - if isinstance(toolset, MCPServer): - if ( - hasattr(toolset, 'allow_elicitation') - and toolset.allow_elicitation - and toolset.elicitation_callback is None - ): - toolset.elicitation_callback = self._create_elicitation_callback() - - # Also setup auto-tool-injection for run_python_code if not already set - if toolset.process_tool_call is None: - toolset.process_tool_call = self._create_auto_tool_injection_callback() - async with self: yield diff --git a/pydantic_ai_slim/pydantic_ai/mcp.py b/pydantic_ai_slim/pydantic_ai/mcp.py index 51515a758..aeb48fea9 100644 --- a/pydantic_ai_slim/pydantic_ai/mcp.py +++ b/pydantic_ai_slim/pydantic_ai/mcp.py @@ -2,6 +2,7 @@ import base64 import functools +import json import warnings from abc import ABC, abstractmethod from asyncio import Lock @@ -18,10 +19,10 @@ from anyio.streams.memory import MemoryObjectReceiveStream, MemoryObjectSendStream from typing_extensions import Self, assert_never, deprecated -from pydantic_ai._run_context import RunContext -from pydantic_ai.tools import ToolDefinition - -from .toolsets.abstract import AbstractToolset, ToolsetTool +from pydantic_ai.models.test import TestModel +from pydantic_ai.tools import RunContext, ToolDefinition +from pydantic_ai.toolsets.abstract import AbstractToolset, ToolsetTool +from pydantic_ai.usage import Usage try: from mcp import types as mcp_types @@ -41,7 +42,15 @@ # after mcp imports so any import error maps to this file, not _mcp.py from . import _mcp, _utils, exceptions, messages, models -__all__ = 'MCPServer', 'MCPServerStdio', 'MCPServerHTTP', 'MCPServerSSE', 'MCPServerStreamableHTTP' +__all__ = ( + 'MCPServer', + 'MCPServerStdio', + 'MCPServerHTTP', + 'MCPServerSSE', + 'MCPServerStreamableHTTP', + 'create_tool_elicitation_callback', + 'create_auto_tool_injection_callback', +) TOOL_SCHEMA_VALIDATOR = pydantic_core.SchemaValidator( schema=pydantic_core.core_schema.dict_schema( @@ -50,6 +59,166 @@ ) +def _is_mcp_run_python_server(toolset: AbstractToolset[Any]) -> bool: + """Check if a toolset is an mcp-run-python server to avoid deadlock.""" + command = getattr(toolset, 'command', None) + args = getattr(toolset, 'args', None) + if command is not None and args is not None: + command_str = ' '.join([str(command)] + [str(arg) for arg in args]) + return 'mcp-run-python' in command_str + return False + + +class _FilteredToolset(AbstractToolset[Any]): + """Toolset wrapper that excludes mcp-run-python servers to prevent deadlock.""" + + def __init__(self, wrapped: AbstractToolset[Any]): + from .toolsets.combined import CombinedToolset + + self.wrapped = wrapped + + # If it's a CombinedToolset, filter out mcp-run-python toolsets before any get_tools() calls + if isinstance(wrapped, CombinedToolset): + filtered_toolsets: list[AbstractToolset[Any]] = [] + for toolset in wrapped.toolsets: + if not _is_mcp_run_python_server(toolset): + filtered_toolsets.append(toolset) + # Create a new CombinedToolset with filtered toolsets + self.wrapped = CombinedToolset(toolsets=filtered_toolsets) + elif _is_mcp_run_python_server(wrapped): + # If the wrapped toolset itself is mcp-run-python, return empty tools + self._is_empty = True + else: + self._is_empty = False + + async def get_tools(self, ctx: RunContext[Any]) -> dict[str, ToolsetTool[Any]]: + """Get tools excluding those from mcp-run-python servers.""" + if hasattr(self, '_is_empty') and self._is_empty: + return {} + + return await self.wrapped.get_tools(ctx) + + async def call_tool( + self, name: str, tool_args: dict[str, Any], ctx: RunContext[Any], tool: ToolsetTool[Any] + ) -> Any: + """Call tool using the wrapped toolset.""" + return await self.wrapped.call_tool(name, tool_args, ctx, tool) + + def apply(self, visitor: Callable[[AbstractToolset[Any]], None]) -> None: + """Apply visitor to the wrapped toolset.""" + self.wrapped.apply(visitor) + + +async def _call_tool_for_elicitation( + toolset: AbstractToolset[Any], + tool_name: str, + tool_arguments: dict[str, Any], + ctx: RunContext[Any], +) -> Any: + """Call a tool for elicitation using standard toolset API.""" + available_tools = await toolset.get_tools(ctx) + if tool_name not in available_tools: + raise ValueError(f'Tool {tool_name} not found in toolset') + + tool = available_tools[tool_name] + return await toolset.call_tool(tool_name, tool_arguments, ctx, tool) + + +def _create_elicitation_context(tool_name: str) -> RunContext[Any]: + """Create minimal RunContext for elicitation.""" + return RunContext( + deps=None, + model=TestModel(), + usage=Usage(), + tool_name=tool_name, + ) + + +def create_tool_elicitation_callback(toolset: AbstractToolset[Any]) -> ElicitationFnT: + """Create an elicitation callback that routes to the provided toolset. + + Args: + toolset: The toolset containing tools that can be called via elicitation + + Returns: + An elicitation callback function that handles tool execution requests + """ + filtered_toolset = _FilteredToolset(toolset) + + async def elicitation_callback(context: Any, params: Any) -> mcp_types.ElicitResult | mcp_types.ErrorData: + """Handle elicitation requests by routing to the toolset.""" + try: + tool_execution_data = json.loads(params.message) + tool_name = tool_execution_data.get('tool_name') + tool_arguments = tool_execution_data.get('arguments', {}) + + if tool_name is None: + return mcp_types.ErrorData( + code=mcp_types.INVALID_PARAMS, message='Missing tool_name in elicitation request' + ) + bridge_ctx = _create_elicitation_context(tool_name) + try: + result = await _call_tool_for_elicitation(filtered_toolset, tool_name, tool_arguments, bridge_ctx) + return mcp_types.ElicitResult(action='accept', content={'result': str(result)}) + except ValueError as e: + # Tool not found or invalid arguments + return mcp_types.ErrorData(code=mcp_types.INVALID_PARAMS, message=f'Tool {tool_name} error: {str(e)}') + except TimeoutError: + return mcp_types.ErrorData( + code=mcp_types.INTERNAL_ERROR, message=f'Tool {tool_name} execution timed out' + ) + except Exception as e: + error_msg = ( + f'Tool execution failed for {tool_name}: {str(e)}. Check tool arguments and toolset configuration.' + ) + return mcp_types.ErrorData(code=mcp_types.INTERNAL_ERROR, message=error_msg) + + except json.JSONDecodeError as json_error: + return mcp_types.ErrorData( + code=mcp_types.INVALID_PARAMS, message=f'Invalid JSON in elicitation request: {str(json_error)}' + ) + except Exception as e: + return mcp_types.ErrorData(code=mcp_types.INTERNAL_ERROR, message=f'Elicitation callback failed: {str(e)}') + + return elicitation_callback + + +def create_auto_tool_injection_callback(toolset: AbstractToolset[Any]) -> ProcessToolCallback: + """Create a callback that auto-injects available tools into run_python_code calls. + + Args: + toolset: The toolset containing tools to be discovered and injected + + Returns: + A process tool callback that adds available tools to Python code execution + """ + filtered_toolset = _FilteredToolset(toolset) + + async def auto_inject_tools_callback( + ctx: RunContext[Any], + call_tool_func: CallToolFunc, + tool_name: str, + tool_arguments: dict[str, Any], + ) -> ToolResult: + """Auto-inject tools discovered from toolset into run_python_code calls.""" + if tool_name == 'run_python_code': + available_tools: list[str] = [] + + try: + discovered_tools = await filtered_toolset.get_tools(ctx=ctx) + for original_tool_name, _ in discovered_tools.items(): + available_tools.append(original_tool_name) + except Exception: + pass + + if available_tools: + tool_arguments = {**tool_arguments, 'tools': available_tools} + + return await call_tool_func(tool_name, tool_arguments, None) + + return auto_inject_tools_callback + + class MCPServer(AbstractToolset[Any], ABC): """Base class for attaching agents to MCP servers. diff --git a/tests/test_mcp_elicitation.py b/tests/test_mcp_elicitation.py index ed6edbb58..662dfc96b 100644 --- a/tests/test_mcp_elicitation.py +++ b/tests/test_mcp_elicitation.py @@ -6,8 +6,9 @@ import pytest -from pydantic_ai.agent import Agent +from pydantic_ai import Agent, RunContext from pydantic_ai.models.test import TestModel +from pydantic_ai.toolsets.function import FunctionToolset from .conftest import try_import @@ -16,7 +17,12 @@ from mcp.client.session import ClientSession from mcp.shared.context import RequestContext - from pydantic_ai.mcp import MCPServerSSE, MCPServerStdio + from pydantic_ai.mcp import ( + MCPServerSSE, + MCPServerStdio, + create_auto_tool_injection_callback, + create_tool_elicitation_callback, + ) pytestmark = [ pytest.mark.skipif(not imports_successful(), reason='mcp not installed'), @@ -1086,3 +1092,205 @@ async def test_mcp_run_python_timeout_setting(self): assert isinstance(result, str) assert 'success' in result assert 'Timeout test' in result + + +class TestMCPElicitationRefactored: + """Test the new explicit MCP elicitation setup approach.""" + + async def test_helper_functions_exist(self): + """Test that the new helper functions are available and callable.""" + # Test function imports work + assert callable(create_tool_elicitation_callback) + assert callable(create_auto_tool_injection_callback) + + # Test helper functions can be instantiated + def test_tool(ctx: RunContext, query: str) -> str: + return f'Result: {query}' + + toolset = FunctionToolset([test_tool]) + elicit_callback = create_tool_elicitation_callback(toolset) + inject_callback = create_auto_tool_injection_callback(toolset) + + assert callable(elicit_callback) + assert callable(inject_callback) + + async def test_no_auto_magic_setup(self): + """Test that elicitation callbacks are not automatically set up.""" + server = MCPServerStdio(command='python', args=['-c', 'print("test")'], allow_elicitation=True) + + model = TestModel(custom_output_text='Test response') + agent = Agent(model, toolsets=[server]) + + @agent.tool_plain + def search_tool(query: str) -> str: + """Search for information.""" + return f'Search result: {query}' + + # Verify no callbacks are automatically set + assert server.elicitation_callback is None + assert server.process_tool_call is None + + async def test_explicit_setup_method(self): + """Test the new set_mcp_elicitation_toolset method.""" + server = MCPServerStdio(command='python', args=['-c', 'print("test")'], allow_elicitation=True) + + model = TestModel(custom_output_text='Test response') + agent = Agent(model, toolsets=[server]) + + @agent.tool_plain + def search_tool(query: str) -> str: + """Search for information.""" + return f'Search result: {query}' + + # Verify method exists + assert hasattr(agent, 'set_mcp_elicitation_toolset') + assert callable(agent.set_mcp_elicitation_toolset) + + # Call explicit setup + agent.set_mcp_elicitation_toolset() + + # Verify callbacks are now set + assert server.elicitation_callback is not None + assert server.process_tool_call is not None + + async def test_explicit_setup_with_custom_toolset(self): + """Test explicit setup with a custom toolset.""" + server = MCPServerStdio(command='python', args=['-c', 'print("test")'], allow_elicitation=True) + + model = TestModel(custom_output_text='Test response') + agent = Agent(model, toolsets=[server]) + + @agent.tool_plain + def agent_tool(query: str) -> str: + """Agent tool.""" + return f'Agent result: {query}' + + # Create custom toolset with different tools + def custom_tool(ctx: RunContext, text: str) -> str: + return f'Custom result: {text}' + + custom_toolset = FunctionToolset([custom_tool]) + + # Use custom toolset for elicitation + agent.set_mcp_elicitation_toolset(custom_toolset) + + # Verify callbacks are set + assert server.elicitation_callback is not None + assert server.process_tool_call is not None + + async def test_explicit_setup_only_affects_elicitation_servers(self): + """Test that explicit setup only affects servers with allow_elicitation=True.""" + elicitation_server = MCPServerStdio(command='python', args=['-c', 'print("test1")'], allow_elicitation=True) + + regular_server = MCPServerStdio(command='python', args=['-c', 'print("test2")'], allow_elicitation=False) + + model = TestModel(custom_output_text='Test response') + agent = Agent(model, toolsets=[elicitation_server, regular_server]) + + # Call explicit setup + agent.set_mcp_elicitation_toolset() + + # Only elicitation server should have callbacks + assert elicitation_server.elicitation_callback is not None + assert elicitation_server.process_tool_call is not None + + # Regular server should not be affected + assert regular_server.elicitation_callback is None + assert regular_server.process_tool_call is None + + async def test_explicit_setup_respects_existing_callbacks(self): + """Test that explicit setup doesn't override existing callbacks.""" + + # Mock existing callback + async def existing_callback(context: Any, params: Any) -> Any: + return types.ElicitResult(action='accept', content={'existing': True}) + + server = MCPServerStdio( + command='python', + args=['-c', 'print("test")'], + allow_elicitation=True, + elicitation_callback=existing_callback, + ) + + model = TestModel(custom_output_text='Test response') + agent = Agent(model, toolsets=[server]) + + # Call explicit setup + agent.set_mcp_elicitation_toolset() + + # Existing callback should be preserved + assert server.elicitation_callback is existing_callback + # But process_tool_call should still be set if it wasn't before + assert server.process_tool_call is not None + + async def test_helper_function_with_function_toolset(self): + """Test that helper functions work correctly with FunctionToolset.""" + + def test_tool_with_ctx(ctx: RunContext, query: str) -> str: + return f'Function result: {query}' + + def test_tool_plain(query: str) -> str: + return f'Plain result: {query}' + + # Test with context-aware tool + toolset_ctx = FunctionToolset([test_tool_with_ctx]) + callback_ctx = create_tool_elicitation_callback(toolset_ctx) + assert callable(callback_ctx) + + # Test with plain tool (this should work with our helper function logic) + # Note: This tests our helper function's ability to handle different tool types + injection_callback = create_auto_tool_injection_callback(toolset_ctx) + assert callable(injection_callback) + + async def test_multiple_servers_independent_setup(self): + """Test that multiple servers can be set up independently.""" + server1 = MCPServerStdio(command='python', args=['-c', 'print("test1")'], allow_elicitation=True) + + server2 = MCPServerStdio(command='python', args=['-c', 'print("test2")'], allow_elicitation=True) + + model = TestModel(custom_output_text='Test response') + agent = Agent(model, toolsets=[server1, server2]) + + # Both servers should start without callbacks + assert server1.elicitation_callback is None + assert server2.elicitation_callback is None + + # Set up elicitation for both + agent.set_mcp_elicitation_toolset() + + # Both should now have callbacks + assert server1.elicitation_callback is not None + assert server2.elicitation_callback is not None + assert server1.process_tool_call is not None + assert server2.process_tool_call is not None + + async def test_explicit_setup_method_signature(self): + """Test the method signature and parameter handling.""" + server = MCPServerStdio(command='python', args=['-c', 'print("test")'], allow_elicitation=True) + + model = TestModel(custom_output_text='Test response') + agent = Agent(model, toolsets=[server]) + + # Test calling with no arguments (should use agent's complete toolset) + agent.set_mcp_elicitation_toolset() + assert server.elicitation_callback is not None + + # Reset + server.elicitation_callback = None + server.process_tool_call = None + + # Test calling with None (should also use agent's complete toolset) + agent.set_mcp_elicitation_toolset(None) + assert server.elicitation_callback is not None + + # Reset + server.elicitation_callback = None + server.process_tool_call = None + + # Test calling with custom toolset + def custom_tool(ctx: RunContext, text: str) -> str: + return f'Custom: {text}' + + custom_toolset = FunctionToolset([custom_tool]) + agent.set_mcp_elicitation_toolset(custom_toolset) + assert server.elicitation_callback is not None From 7433802811938487cb539a9034f010dafd4de195 Mon Sep 17 00:00:00 2001 From: Yaman Ahlawat Date: Fri, 25 Jul 2025 18:53:57 +0530 Subject: [PATCH 5/7] chore: update MCP package to v1.12.2 and fix merge conflicts --- mcp-run-python/pyproject.toml | 2 +- mcp-run-python/src/main.ts | 7 - mcp-run-python/src/runCode.ts | 2 - pydantic_ai_slim/pydantic_ai/mcp.py | 4 + pydantic_ai_slim/pyproject.toml | 2 +- uv.lock | 3489 +++++++++++++++------------ 6 files changed, 1890 insertions(+), 1616 deletions(-) diff --git a/mcp-run-python/pyproject.toml b/mcp-run-python/pyproject.toml index 9bcf610d5..6f97a2f17 100644 --- a/mcp-run-python/pyproject.toml +++ b/mcp-run-python/pyproject.toml @@ -10,7 +10,7 @@ dev = [ "dirty-equals>=0.9.0", "httpx>=0.28.1", "inline-snapshot>=0.19.3", - "mcp>=1.4.1; python_version >= '3.10'", + "mcp>=1.12.2; python_version >= '3.10'", "micropip>=0.9.0; python_version >= '3.12'", "pytest>=8.3.3", "pytest-pretty>=1.2.0", diff --git a/mcp-run-python/src/main.ts b/mcp-run-python/src/main.ts index de3ed2de1..9b7ffcdc7 100644 --- a/mcp-run-python/src/main.ts +++ b/mcp-run-python/src/main.ts @@ -106,19 +106,13 @@ The tools are injected into the global namespace automatically - no discovery fu .array(z.string()) .optional() .describe('List of available tools for injection (enables tool injection when provided)'), - tool_name_mapping: z - .record(z.string()) - .optional() - .describe('Mapping of python_name -> original_mcp_name for tool name conversion'), }, async ({ python_code, tools = [], - tool_name_mapping = {}, }: { python_code: string tools?: string[] - tool_name_mapping?: Record }) => { const logPromises: Promise[] = [] @@ -185,7 +179,6 @@ The tools are injected into the global namespace automatically - no discovery fu { enableToolInjection: true, availableTools: tools, - toolNameMapping: tool_name_mapping, timeoutSeconds: 30, elicitationCallback, } as ToolInjectionConfig, diff --git a/mcp-run-python/src/runCode.ts b/mcp-run-python/src/runCode.ts index 8ef12dcdd..9e13f2cc6 100644 --- a/mcp-run-python/src/runCode.ts +++ b/mcp-run-python/src/runCode.ts @@ -13,7 +13,6 @@ export interface CodeFile { export interface ToolInjectionConfig { enableToolInjection: boolean availableTools: string[] - toolNameMapping?: Record // python_name -> original_mcp_name timeoutSeconds: number // deno-lint-ignore no-explicit-any elicitationCallback?: (request: any) => Promise @@ -158,7 +157,6 @@ function injectToolFunctions( globals, config.availableTools, tool_callback, - config.toolNameMapping, ) log('info', `Tool injection complete. Available tools: ${config.availableTools.join(', ')}`) diff --git a/pydantic_ai_slim/pydantic_ai/mcp.py b/pydantic_ai_slim/pydantic_ai/mcp.py index aeb48fea9..f75ce57f3 100644 --- a/pydantic_ai_slim/pydantic_ai/mcp.py +++ b/pydantic_ai_slim/pydantic_ai/mcp.py @@ -697,6 +697,8 @@ def __init__( allow_sampling: bool = True, max_retries: int = 1, sampling_model: models.Model | None = None, + allow_elicitation: bool = True, + elicitation_callback: ElicitationFnT | None = None, **kwargs: Any, ): # Handle deprecated sse_read_timeout parameter @@ -725,6 +727,8 @@ def __init__( self.allow_sampling = allow_sampling self.max_retries = max_retries self.sampling_model = sampling_model + self.allow_elicitation = allow_elicitation + self.elicitation_callback = elicitation_callback self.read_timeout = read_timeout @property diff --git a/pydantic_ai_slim/pyproject.toml b/pydantic_ai_slim/pyproject.toml index ce7a4a342..27a6f19bb 100644 --- a/pydantic_ai_slim/pyproject.toml +++ 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a/mcp-run-python/src/main.ts b/mcp-run-python/src/main.ts index 9b7ffcdc7..570211c9a 100644 --- a/mcp-run-python/src/main.ts +++ b/mcp-run-python/src/main.ts @@ -12,7 +12,7 @@ import { type LoggingLevel, SetLevelRequestSchema } from '@modelcontextprotocol/ import { McpServer } from '@modelcontextprotocol/sdk/server/mcp.js' import { z } from 'zod' import { Buffer } from 'node:buffer' -import { asXml, runCode, runCodeWithToolInjection, type ToolInjectionConfig } from './runCode.ts' +import { asXml, runCode, type RunError, type RunSuccess, type ToolInjectionConfig } from './runCode.ts' const VERSION = '0.0.14' @@ -50,6 +50,85 @@ options: } } +/* + * Helper function to create a logging handler + */ +function createLogHandler( + setLogLevel: LoggingLevel, + logPromises: Promise[], + server: McpServer, +) { + return (level: LoggingLevel, data: string) => { + if (LogLevels.indexOf(level) >= LogLevels.indexOf(setLogLevel)) { + logPromises.push(server.server.sendLoggingMessage({ level, data })) + } + } +} + +/* + * Helper function to build unified response + */ +async function buildResponse( + result: RunSuccess | RunError, + logPromises: Promise[], +) { + await Promise.all(logPromises) + return { + content: [{ type: 'text' as const, text: asXml(result) }], + } +} + +/* + * Create elicitation callback for tool execution + */ +function createElicitationCallback( + server: McpServer, + logPromises: Promise[], +) { + // deno-lint-ignore no-explicit-any + return async (elicitationRequest: any) => { + // Convert Python dict to JavaScript object if needed + let jsRequest + if (elicitationRequest && typeof elicitationRequest === 'object' && elicitationRequest.toJs) { + jsRequest = elicitationRequest.toJs() + } else if (elicitationRequest && typeof elicitationRequest === 'object') { + // Handle Python dict-like objects + jsRequest = { + message: elicitationRequest.message || elicitationRequest.get?.('message'), + requestedSchema: elicitationRequest.requestedSchema || elicitationRequest.get?.('requestedSchema'), + } + } else { + jsRequest = elicitationRequest + } + + try { + const elicitationResult = await server.server.request( + { + method: 'elicitation/create', + params: { + message: jsRequest.message, + requestedSchema: jsRequest.requestedSchema, + }, + }, + z.object({ + action: z.enum(['accept', 'decline', 'cancel']), + content: z.optional(z.record(z.string(), z.unknown())), + }), + ) + + return elicitationResult + } catch (error) { + logPromises.push( + server.server.sendLoggingMessage({ + level: 'error', + data: `Elicitation error: ${error}`, + }), + ) + throw error + } + } +} + /* * Create an MCP server with the `run_python_code` tool registered. */ @@ -118,52 +197,10 @@ The tools are injected into the global namespace automatically - no discovery fu // Check if tools are provided if (tools.length > 0) { - // Create elicitation callback - // deno-lint-ignore no-explicit-any - const elicitationCallback = async (elicitationRequest: any) => { - // Convert Python dict to JavaScript object if needed - let jsRequest - if (elicitationRequest && typeof elicitationRequest === 'object' && elicitationRequest.toJs) { - jsRequest = elicitationRequest.toJs() - } else if (elicitationRequest && typeof elicitationRequest === 'object') { - // Handle Python dict-like objects - jsRequest = { - message: elicitationRequest.message || elicitationRequest.get?.('message'), - requestedSchema: elicitationRequest.requestedSchema || elicitationRequest.get?.('requestedSchema'), - } - } else { - jsRequest = elicitationRequest - } - - try { - const elicitationResult = await server.server.request( - { - method: 'elicitation/create', - params: { - message: jsRequest.message, - requestedSchema: jsRequest.requestedSchema, - }, - }, - z.object({ - action: z.enum(['accept', 'decline', 'cancel']), - content: z.optional(z.record(z.string(), z.unknown())), - }), - ) - - return elicitationResult - } catch (error) { - logPromises.push( - server.server.sendLoggingMessage({ - level: 'error', - data: `Elicitation error: ${error}`, - }), - ) - throw error - } - } + const elicitationCallback = createElicitationCallback(server, logPromises) // Use tool injection mode - const result = await runCodeWithToolInjection( + const result = await runCode( [ { name: 'main.py', @@ -171,11 +208,7 @@ The tools are injected into the global namespace automatically - no discovery fu active: true, }, ], - (level, data) => { - if (LogLevels.indexOf(level) >= LogLevels.indexOf(setLogLevel)) { - logPromises.push(server.server.sendLoggingMessage({ level, data })) - } - }, + createLogHandler(setLogLevel, logPromises, server), { enableToolInjection: true, availableTools: tools, @@ -184,11 +217,7 @@ The tools are injected into the global namespace automatically - no discovery fu } as ToolInjectionConfig, ) - await Promise.all(logPromises) - - return { - content: [{ type: 'text', text: asXml(result) }], - } + return await buildResponse(result, logPromises) } else { // Use basic mode without tool injection const result = await runCode( @@ -199,16 +228,10 @@ The tools are injected into the global namespace automatically - no discovery fu active: true, }, ], - (level, data) => { - if (LogLevels.indexOf(level) >= LogLevels.indexOf(setLogLevel)) { - logPromises.push(server.server.sendLoggingMessage({ level, data })) - } - }, + createLogHandler(setLogLevel, logPromises, server), + undefined, ) - await Promise.all(logPromises) - return { - content: [{ type: 'text', text: asXml(result) }], - } + return await buildResponse(result, logPromises) } }, ) @@ -439,7 +462,7 @@ print(f"Tool result: {result}") ` try { - const toolResult = await runCodeWithToolInjection( + const toolResult = await runCode( [ { name: 'tool_test.py', diff --git a/mcp-run-python/src/runCode.ts b/mcp-run-python/src/runCode.ts index 9e13f2cc6..b2a83ebc3 100644 --- a/mcp-run-python/src/runCode.ts +++ b/mcp-run-python/src/runCode.ts @@ -21,18 +21,6 @@ export interface ToolInjectionConfig { export async function runCode( files: CodeFile[], log: (level: LoggingLevel, data: string) => void, -): Promise { - // Use enhanced version without tool injection for backwards compatibility - const result = await runCodeWithToolInjection(files, log, undefined) - - // Convert to original format - return result -} - -// Enhanced version that supports optional tool injection -export async function runCodeWithToolInjection( - files: CodeFile[], - log: (level: LoggingLevel, data: string) => void, toolConfig?: ToolInjectionConfig, ): Promise { // remove once we can upgrade to pyodide 0.27.7 and console.log is no longer used. @@ -71,7 +59,11 @@ export async function runCodeWithToolInjection( const dirPath = '/tmp/mcp_run_python' sys.path.append(dirPath) const pathlib = pyodide.pyimport('pathlib') - pathlib.Path(dirPath).mkdir() + try { + pathlib.Path(dirPath).mkdir() + } catch (_error) { + // Directory already exists, which is fine + } const moduleName = '_prepare_env' pathlib.Path(`${dirPath}/${moduleName}.py`).write_text(preparePythonCode) @@ -162,7 +154,7 @@ function injectToolFunctions( log('info', `Tool injection complete. Available tools: ${config.availableTools.join(', ')}`) } -interface RunSuccess { +export interface RunSuccess { status: 'success' // we could record stdout and stderr separately, but I suspect simplicity is more important output: string[] @@ -170,7 +162,7 @@ interface RunSuccess { returnValueJson: string | null } -interface RunError { +export interface RunError { status: 'install-error' | 'run-error' output: string[] dependencies?: string[] diff --git a/mcp-run-python/src/tool_injection.py b/mcp-run-python/src/tool_injection.py index 7b536214e..d3620b006 100644 --- a/mcp-run-python/src/tool_injection.py +++ b/mcp-run-python/src/tool_injection.py @@ -1,48 +1,46 @@ """Tool injection for MCP elicitation support.""" import json +from functools import lru_cache from typing import Any, Callable, cast +from pyodide.webloop import run_sync # type: ignore[import-untyped] + def _create_elicitation_request(tool_name: str, args: tuple[Any, ...], kwargs: dict[str, Any]) -> dict[str, Any]: """Create an elicitation request object for tool execution.""" - tool_args: dict[str, Any] = {} + if args and len(args) == 1: + first_arg = args[0] + if isinstance(first_arg, str): + tool_args = {'query': first_arg, **kwargs} + elif isinstance(first_arg, dict): + tool_args = {**first_arg, **kwargs} # type: ignore[arg-type] + else: + tool_args = kwargs.copy() + else: + tool_args = kwargs.copy() - # Handle positional arguments - if args: - if len(args) == 1 and isinstance(args[0], str): - # Single string argument - assume it's a query - tool_args['query'] = args[0] - elif len(args) == 1 and isinstance(args[0], dict): - # Single dict argument - tool_args.update(args[0]) # type: ignore[arg-type] + return { + 'message': json.dumps({'tool_name': tool_name, 'arguments': tool_args}), + 'requestedSchema': _get_tool_schema(tool_name), + } - # Add keyword arguments - tool_args.update(kwargs) - tool_execution_data: dict[str, Any] = {'tool_name': tool_name, 'arguments': tool_args} +@lru_cache(maxsize=128) +def _get_tool_schema(tool_name: str) -> dict[str, Any]: + """Get cached schema for a tool.""" return { - 'message': json.dumps(tool_execution_data), - 'requestedSchema': { - 'type': 'object', - 'properties': {'result': {'type': 'string', 'description': f'Result of executing {tool_name} tool'}}, - 'required': ['result'], - }, + 'type': 'object', + 'properties': {'result': {'type': 'string', 'description': f'Result of executing {tool_name} tool'}}, + 'required': ['result'], } def _handle_tool_callback_result(result: Any, tool_name: str) -> Any: """Handle the result from a tool callback, including promise resolution.""" - # Handle PyodideFuture (JavaScript Promise) if hasattr(result, 'then'): try: - # Import at runtime to avoid dependency issues - from pyodide.webloop import run_sync # type: ignore[import-untyped] - - # Use cast to tell the type checker what we expect resolved_result = cast(dict[str, Any], run_sync(result)) - - # Extract result from elicitation response if isinstance(resolved_result, dict): if resolved_result.get('action') == 'accept': content = cast(dict[str, Any], resolved_result.get('content', {})) From 2129a24fc029ffcbae8848f29400bd08a523518e Mon Sep 17 00:00:00 2001 From: Yaman Ahlawat Date: Sat, 26 Jul 2025 00:37:00 +0530 Subject: [PATCH 7/7] fix: merge conflict missing elicitation in client --- pydantic_ai_slim/pydantic_ai/mcp.py | 1 + 1 file changed, 1 insertion(+) diff --git a/pydantic_ai_slim/pydantic_ai/mcp.py b/pydantic_ai_slim/pydantic_ai/mcp.py index f75ce57f3..fd3ba7a39 100644 --- a/pydantic_ai_slim/pydantic_ai/mcp.py +++ b/pydantic_ai_slim/pydantic_ai/mcp.py @@ -378,6 +378,7 @@ async def __aenter__(self) -> Self: read_stream=self._read_stream, write_stream=self._write_stream, sampling_callback=self._sampling_callback if self.allow_sampling else None, + elicitation_callback=self.elicitation_callback if self.allow_elicitation else None, logging_callback=self.log_handler, read_timeout_seconds=timedelta(seconds=self.read_timeout), )