diff --git a/.gitignore b/.gitignore index 4a18b5a..75ef18c 100644 --- a/.gitignore +++ b/.gitignore @@ -16,6 +16,8 @@ # testing /coverage +/agent/env + # next.js /.next/ /out/ diff --git a/README.md b/README.md index 8eb1cbe..aaa8f57 100644 --- a/README.md +++ b/README.md @@ -1,4 +1,4 @@ -https://github.com/user-attachments/assets/364b6705-14d4-4e6d-bea7-fb9f12664fab +https://github.com/user-attachments/assets/dfce1a40-3e9a-46f5-a066-a4cc496ed9e1 # Getting Started @@ -46,17 +46,20 @@ poetry --version ## Development -We recommend running the **frontend and agent separately** in different terminals to debug errors and logs: +We recommend you run the frontend, LangGraph agent, and CrewAI agent separately in different terminals for better debugging and log visibility: ```bash # Terminal 1 - Frontend pnpm run dev-frontend -# Terminal 2 - Agent +# Terminal 2 - LangGraph Agent pnpm run dev-agent + +# Terminal 3 - CrewAI Agent +pnpm run dev-crewai-agent ``` -Alternatively, you can run both services together with: +Alternatively, you can run the frontend, the LangGraph and the CrewAI agent together with: ```bash pnpm run dev @@ -64,9 +67,13 @@ pnpm run dev Then, open [http://localhost:3000](http://localhost:3000) in your browser. + ## Architecture +The codebase is split into three main parts: + +1. `/agent/sample_agent` **folder** – A LangGraph agent that connects to MCP servers and calls their tools. + +2. `/agent/crewai_sample_agent` **folder** – A CrewAI agent that connects to MCP servers and calls their tools. -The codebase is split into two main parts: +3. `/app` **folder** – A frontend application using CopilotKit for UI and state synchronization. -1. `/agent` **folder** – A LangGraph agent that connects to MCP servers and calls their tools. -2. `/app` **folder** – A frontend application using CopilotKit for UI and state synchronization. \ No newline at end of file diff --git a/agent/crewai_sample_agent/agent.py b/agent/crewai_sample_agent/agent.py new file mode 100644 index 0000000..731f389 --- /dev/null +++ b/agent/crewai_sample_agent/agent.py @@ -0,0 +1,380 @@ +import json +from typing_extensions import Literal, TypedDict, Dict, List, Union, Optional +from litellm import completion +from crewai.flow.flow import Flow, start, router, listen +from copilotkit.crewai import copilotkit_stream, CopilotKitState +from mcp import ClientSession, StdioServerParameters +from mcp.client.stdio import stdio_client +from mcp.client.sse import sse_client +import os +import asyncio +from contextlib import AsyncExitStack + +# Define MCP connection types +class StdioConnection(TypedDict): + command: str + args: List[str] + transport: Literal["stdio"] + +class SSEConnection(TypedDict): + url: str + transport: Literal["sse"] + +# Type for MCP configuration +MCPConfig = Dict[str, Union[StdioConnection, SSEConnection]] + +# Default MCP configuration +DEFAULT_MCP_CONFIG: MCPConfig = { + "math": { + "command": "python", + "args": [os.path.join(os.path.dirname(__file__), "..", "math_server.py")], + "transport": "stdio", + }, + # "hackernews": { + # "url": "https://mcp.composio.dev/hackernews/whining-substantial-caravan-NhJ2ij", + # "transport": "sse", + # } +} + +class AgentState(CopilotKitState): + """ + Agent state with MCP configuration support + """ + language: Literal["english", "spanish"] = "english" + mcp_config: MCPConfig = DEFAULT_MCP_CONFIG + +# Original weather tool +GET_WEATHER_TOOL = { + "type": "function", + "function": { + "name": "get_weather", + "description": "Get the current weather in a given location", + "parameters": { + "type": "object", + "properties": { + "location": { + "type": "string", + "description": "The city and state, e.g. San Francisco, CA" + } + }, + "required": ["location"] + } + } +} + +tool_handlers = { + "get_weather": lambda args: f"The weather for {args['location']} is 70 degrees." +} + +def convert_mcp_tool_to_json_format(tool): + """ + Convert an MCP tool to a JSON-serializable OpenAI-compatible format. + """ + if not hasattr(tool, 'name') or not hasattr(tool, 'inputSchema'): + raise ValueError(f"Invalid tool object: {tool}") + + # Build properties dictionary safely + properties = {} + required = [] + + if hasattr(tool, 'inputSchema') and tool.inputSchema: + if isinstance(tool.inputSchema, dict): + properties = tool.inputSchema.get('properties', {}) + required = tool.inputSchema.get('required', []) + + return { + "type": "function", + "function": { + "name": tool.name, + "description": getattr(tool, 'description', f"Tool: {tool.name}"), + "parameters": { + "type": "object", + "properties": properties, + "required": required + } + } + } + +class MCPToolManager: + """ + Manages MCP tool connections and tool execution + """ + def __init__(self): + self.active_sessions = {} + self.exit_stack = AsyncExitStack() + + async def initialize_servers(self, mcp_config): + """ + Initialize all MCP servers from configuration + """ + all_tools = [] + mcp_tools_dict = {} + + for server_name, config in mcp_config.items(): + try: + if config["transport"] == "stdio": + session, tools = await self._initialize_stdio_server(server_name, config) + elif config["transport"] == "sse": + session, tools = await self._initialize_sse_server(server_name, config) + else: + print(f"Unsupported transport type for {server_name}: {config['transport']}") + continue + + if session and tools: + self.active_sessions[server_name] = session + mcp_tools_json = [convert_mcp_tool_to_json_format(tool) for tool in tools] + mcp_tools_dict.update({tool.name: (session, tool) for tool in tools}) + all_tools.extend(mcp_tools_json) + + except Exception as e: + print(f"Error initializing {server_name}: {str(e)}") + continue + + return all_tools, mcp_tools_dict + + async def _initialize_stdio_server(self, server_name, config): + """Initialize a stdio server and return its session and tools""" + try: + server_params = StdioServerParameters( + command=config["command"], + args=config["args"] + ) + stdio_transport = await self.exit_stack.enter_async_context(stdio_client(server_params)) + read, write = stdio_transport + session = await self.exit_stack.enter_async_context(ClientSession(read, write)) + await session.initialize() + + # Get tools from the server + tools_response = await session.list_tools() + + # Extract tools from response - handle both direct access and tuple format + if hasattr(tools_response, 'tools'): + tools = tools_response.tools + elif isinstance(tools_response, tuple) and len(tools_response) > 1: + tools = tools_response[1] + else: + print(f"Unexpected tools response format from {server_name}: {tools_response}") + return None, [] + + + return session, tools + + except Exception as e: + print(f"Error connecting to stdio server {server_name}: {str(e)}") + return None, [] + + async def _initialize_sse_server(self, server_name, config): + """Initialize an SSE server and return its session and tools""" + try: + sse_transport = await self.exit_stack.enter_async_context(sse_client(config["url"])) + read, write = sse_transport + session = await self.exit_stack.enter_async_context(ClientSession(read, write)) + await session.initialize() + + # Get tools from the server + tools_response = await session.list_tools() + + # Extract tools from response - handle both direct access and tuple format + if hasattr(tools_response, 'tools'): + tools = tools_response.tools + elif isinstance(tools_response, tuple) and len(tools_response) > 1: + tools = tools_response[1] + else: + print(f"Unexpected tools response format from {server_name}: {tools_response}") + return None, [] + + return session, tools + + except Exception as e: + print(f"Error connecting to SSE server {server_name}: {str(e)}") + return None, [] + + async def execute_tool(self, tool_name, tool_args, mcp_tools_dict): + """ + Execute an MCP tool + """ + try: + if tool_name not in mcp_tools_dict: + return f"Tool {tool_name} not found in available MCP tools" + + session, tool = mcp_tools_dict[tool_name] + result = await session.call_tool(tool_name, arguments=tool_args) + return result + + except Exception as e: + return f"Error executing tool {tool_name}: {str(e)}" + + async def cleanup(self): + """Close all active sessions""" + try: + await self.exit_stack.aclose() + self.active_sessions = {} + except Exception as e: + print(f"Error during MCP tool manager cleanup: {e}") + +class SampleAgentFlow(Flow[AgentState]): + """ + Optimized flow with MCP support using recursive tool handling + """ + def __init__(self): + print("Initializing OptimizedAgentFlow") + super().__init__(initial_state={"mcp_config": DEFAULT_MCP_CONFIG}) + self.mcp_manager = MCPToolManager() + self.tool_call_count = 0 + self.MAX_TOOL_CALLS = 10 # Safety limit to prevent infinite recursion + + @start() + @listen("route_follow_up") + async def start_flow(self): + """Entry point for the flow""" + print("Starting flow") + + @router(start_flow) + async def chat(self): + """Chat node with MCP tools integration""" + try: + print("Processing chat") + print(f"Current state: {self.state}") + + # Get MCP configuration + mcp_config = getattr(self.state, 'mcp_config', DEFAULT_MCP_CONFIG) + + # System prompt based on language setting + system_prompt = f"You are a helpful assistant. Talk in {self.state.language}." + + # Initialize base tools + all_tools = [*self.state.copilotkit.actions, GET_WEATHER_TOOL] + + # Initialize MCP servers and get tools + mcp_tools, mcp_tools_dict = await self.mcp_manager.initialize_servers(mcp_config) + all_tools.extend(mcp_tools) + + # Get names of MCP tools for reference + mcp_tool_names = [tool["function"]["name"] for tool in mcp_tools] + + # Create a single shared context for the recursive tool handling + tool_context = { + "all_tools": all_tools, + "mcp_tool_names": mcp_tool_names, + "mcp_tools_dict": mcp_tools_dict, + "system_prompt": system_prompt + } + + # Make the initial LLM call + await self.process_llm_call(tool_context) + + return "route_end" + + except Exception as e: + print(f"Error in chat node: {str(e)}") + return "route_end" + finally: + # Ensure we clean up MCP sessions + await self.mcp_manager.cleanup() + + async def process_llm_call(self, tool_context): + """ + Make an LLM call and handle any resulting tool calls recursively + + Args: + tool_context: Dictionary containing tools configuration and context + """ + print(f"\n--- LLM Call {self.tool_call_count + 1} ---") + + # Make the LLM call + response = await copilotkit_stream( + completion( + model="openai/gpt-4o", + messages=[ + {"role": "system", "content": tool_context["system_prompt"]}, + *self.state.messages + ], + tools=tool_context["all_tools"], + stream=True + ) + ) + + # Process the response + message = response.choices[0].message + self.state.messages.append(message) + + # If there are tool calls, handle them recursively + if message.get("tool_calls"): + await self.handle_tool_calls(message["tool_calls"], tool_context) + + async def handle_tool_calls(self, tool_calls, tool_context): + """ + Handle tool calls recursively + + Args: + tool_calls: List of tool calls from the LLM response + tool_context: Dictionary containing tools configuration and context + """ + # Increment tool call counter + self.tool_call_count += 1 + + # Check if we've reached the maximum number of tool calls + if self.tool_call_count >= self.MAX_TOOL_CALLS: + print(f"Reached maximum tool call limit ({self.MAX_TOOL_CALLS}), stopping recursion") + return + + + # Process all tool calls in this message + for tool_call in tool_calls: + tool_call_id = tool_call["id"] + tool_call_name = tool_call["function"]["name"] + + # Safely parse tool arguments + try: + tool_call_args = json.loads(tool_call["function"]["arguments"]) + except json.JSONDecodeError: + tool_call_args = {} + + + # Skip CopilotKit actions + if tool_call_name in [action["function"]["name"] for action in self.state.copilotkit.actions]: + print("Detected CopilotKit action - skipping handling") + continue + + # Process tool result + result = None + + # Handle MCP tools + if tool_call_name in tool_context["mcp_tool_names"]: + print(f"Executing MCP tool: {tool_call_name}") + result = await self.mcp_manager.execute_tool( + tool_call_name, + tool_call_args, + tool_context["mcp_tools_dict"] + ) + else: + # Handle regular tools + print(f"Executing regular tool: {tool_call_name}") + handler = tool_handlers.get(tool_call_name) + if handler: + result = handler(tool_call_args) + else: + result = f"Unknown tool: {tool_call_name}" + + # Add tool result to conversation + print(f"Tool result: {result}") + self.state.messages.append({ + "role": "tool", + "content": str(result), + "tool_call_id": tool_call_id + }) + + # Make a recursive LLM call with all tool results + await self.process_llm_call(tool_context) + + @listen("route_end") + async def end(self): + """End the flow""" + print(f"Flow completed after {self.tool_call_count} tool call iterations") + +# Example usage +if __name__ == "__main__": + flow = SampleAgentFlow() + asyncio.run(flow.run()) + + diff --git a/agent/crewai_sample_agent/demo.py b/agent/crewai_sample_agent/demo.py new file mode 100644 index 0000000..433498f --- /dev/null +++ b/agent/crewai_sample_agent/demo.py @@ -0,0 +1,38 @@ +""" +This serves the "sample_agent" agent. This is an example of self-hosting an agent +through our FastAPI integration. However, you can also host in LangGraph platform. +""" + +import os +from dotenv import load_dotenv +load_dotenv() # pylint: disable=wrong-import-position + +from fastapi import FastAPI +import uvicorn +from copilotkit.integrations.fastapi import add_fastapi_endpoint +from copilotkit import CopilotKitRemoteEndpoint +from copilotkit.crewai import CrewAIAgent +from crewai_sample_agent.agent import SampleAgentFlow + +app = FastAPI() +sdk = CopilotKitRemoteEndpoint( + agents=[ + CrewAIAgent( + name="crewai_sample_agent", + description="An example agent to use as a starting point for your own agent.", + flow=SampleAgentFlow() + ) + ], +) + +add_fastapi_endpoint(app, sdk, "/copilotkit") + +def main(): + """Run the uvicorn server.""" + port = int(os.getenv("PORT", "8000")) + uvicorn.run( + "crewai_sample_agent.demo:app", + host="0.0.0.0", + port=port, + reload=True, + ) diff --git a/agent/poetry.lock b/agent/poetry.lock index 294657a..4d7c8ae 100644 --- a/agent/poetry.lock +++ b/agent/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.1.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.1.2 and should not be changed by hand. 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"5a3c715122ccb009d2de8b580a7b1671d6ce484ff65dfc6e9e4a3105cebb9bc3" diff --git a/agent/pyproject.toml b/agent/pyproject.toml index d24b34a..73b4c47 100644 --- a/agent/pyproject.toml +++ b/agent/pyproject.toml @@ -14,7 +14,7 @@ dependencies = [ "langchain>=0.3.1", "openai>=1.51.0", "langchain-community>=0.3.1", - "copilotkit==0.1.39", + "copilotkit[crewai] (>=0.1.42,<0.2.0)", "uvicorn>=0.31.0", "python-dotenv>=1.0.1", "langchain-core>=0.3.25", @@ -35,7 +35,6 @@ langchain-anthropic = "^0.2.1" langchain = "^0.3.1" openai = "^1.51.0" langchain-community = "^0.3.1" -copilotkit = "0.1.39" uvicorn = "^0.31.0" python-dotenv = "^1.0.1" langchain-core = "^0.3.25" @@ -45,4 +44,4 @@ fastmcp = "^0.4.1" langgraph = "^0.3.5" [tool.poetry.scripts] -demo = "sample_agent.demo:main" +demo = "crewai_sample_agent.demo:main" diff --git a/app/api/copilotkit/crewai/route.ts b/app/api/copilotkit/crewai/route.ts new file mode 100644 index 0000000..9c33fda --- /dev/null +++ b/app/api/copilotkit/crewai/route.ts @@ -0,0 +1,39 @@ +import { + CopilotRuntime, + copilotRuntimeNextJSAppRouterEndpoint, + LangChainAdapter, +} from "@copilotkit/runtime"; +import { NextRequest } from "next/server"; +import { ChatOpenAI } from "@langchain/openai"; + +// Service adapter for LangChain +const serviceAdapter = new LangChainAdapter({ + chainFn: async ({ messages, tools }) => { + return model.bindTools(tools, { strict: true }).stream(messages); + }, +}); + +const model = new ChatOpenAI({ + modelName: "gpt-4o-mini", + temperature: 0, + apiKey: process.env["OPENAI_API_KEY"], +}); + +// Create runtime with only CrewAI endpoint +const runtime = new CopilotRuntime({ + remoteEndpoints: [ + { + url: process.env.REMOTE_ACTION_URL || "http://localhost:8000/copilotkit", + }, + ], +}); + +export const POST = async (req: NextRequest) => { + const { handleRequest } = copilotRuntimeNextJSAppRouterEndpoint({ + runtime, + serviceAdapter, + endpoint: "/api/copilotkit/crewai", + }); + + return handleRequest(req); +}; \ No newline at end of file diff --git a/app/api/copilotkit/route.ts b/app/api/copilotkit/langgraph/route.ts similarity index 64% rename from app/api/copilotkit/route.ts rename to app/api/copilotkit/langgraph/route.ts index e74aaa2..aec2d51 100644 --- a/app/api/copilotkit/route.ts +++ b/app/api/copilotkit/langgraph/route.ts @@ -2,36 +2,36 @@ import { CopilotRuntime, copilotRuntimeNextJSAppRouterEndpoint, langGraphPlatformEndpoint, - LangChainAdapter -} from "@copilotkit/runtime";; + LangChainAdapter, +} from "@copilotkit/runtime"; import { NextRequest } from "next/server"; -import { ChatOpenAI } from "@langchain/openai" +import { ChatOpenAI } from "@langchain/openai"; -// You can use any service adapter here for multi-agent support. +// Service adapter for LangChain const serviceAdapter = new LangChainAdapter({ chainFn: async ({ messages, tools }) => { - return model.bindTools(tools, { strict: true }).stream(messages); + return model.bindTools(tools, { strict: true }).stream(messages); }, - }) +}); const model = new ChatOpenAI({ modelName: "gpt-4o-mini", temperature: 0, apiKey: process.env["OPENAI_API_KEY"], - }); - +}); +// Create runtime with only LangGraph endpoint const runtime = new CopilotRuntime({ remoteEndpoints: [ langGraphPlatformEndpoint({ - deploymentUrl: `${process.env.AGENT_DEPLOYMENT_URL || 'http://localhost:8123'}`, + deploymentUrl: `${process.env.AGENT_DEPLOYMENT_URL || "http://localhost:8123"}`, langsmithApiKey: process.env.LANGSMITH_API_KEY, agents: [ { - name: 'sample_agent', - description: 'A helpful LLM agent.', - } - ] + name: "sample_agent", + description: "A helpful LLM agent.", + }, + ], }), ], }); @@ -40,7 +40,7 @@ export const POST = async (req: NextRequest) => { const { handleRequest } = copilotRuntimeNextJSAppRouterEndpoint({ runtime, serviceAdapter, - endpoint: "/api/copilotkit", + endpoint: "/api/copilotkit/langgraph", }); return handleRequest(req); diff --git a/app/components/CopilotContext.tsx b/app/components/CopilotContext.tsx new file mode 100644 index 0000000..124ab01 --- /dev/null +++ b/app/components/CopilotContext.tsx @@ -0,0 +1,34 @@ +// CopilotContext.tsx +"use client"; + +import { createContext, useContext, ReactNode } from "react"; +import { useLocalStorage } from "../hooks/useLocalStorage"; + +interface CopilotContextType { + isLanggraph: boolean; + setIsLanggraph: (value: boolean) => void; + runtimeUrl: string; + agent: string; +} + +const CopilotContext = createContext(undefined); + +export function CopilotProvider({ children }: { children: ReactNode }) { + const [isLanggraph, setIsLanggraph] = useLocalStorage("isLanggraph", true); + const runtimeUrl = isLanggraph ? "/api/copilotkit/langgraph" : "/api/copilotkit/crewai"; + const agent = isLanggraph ? "sample_agent" : "crewai_sample_agent"; + + return ( + + {children} + + ); +} + +export function useCopilotContext() { + const context = useContext(CopilotContext); + if (!context) { + throw new Error("useCopilotContext must be used within a CopilotProvider"); + } + return context; +} diff --git a/app/components/MCPConfigForm.tsx b/app/components/MCPConfigForm.tsx index 4cfb6b6..eb59c51 100644 --- a/app/components/MCPConfigForm.tsx +++ b/app/components/MCPConfigForm.tsx @@ -4,6 +4,7 @@ import { useState, useEffect } from "react"; import { useCoAgent } from "@copilotkit/react-core"; import { ExampleConfigs } from "./ExampleConfigs"; import { useLocalStorage } from "../hooks/useLocalStorage"; +import { useCopilotContext } from "./CopilotContext"; type ConnectionType = "stdio" | "sse"; @@ -45,16 +46,24 @@ const ExternalLink = () => ( ); -export function MCPConfigForm({ showSpreadsheet, setShowSpreadsheet }: { showSpreadsheet: boolean, setShowSpreadsheet: (value: boolean) => void }) { +export function MCPConfigForm({ + showSpreadsheet, + setShowSpreadsheet, +}: { + showSpreadsheet: boolean; + setShowSpreadsheet: (value: boolean) => void; +}) { // Use our localStorage hook for persistent storage + const { isLanggraph, setIsLanggraph } = useCopilotContext(); const [savedConfigs, setSavedConfigs] = useLocalStorage< Record >(STORAGE_KEY, {}); + const agentName = isLanggraph ? "sample_agent" : "crewai_sample_agent"; // Initialize agent state with the data from localStorage const { state: agentState, setState: setAgentState } = useCoAgent( { - name: "sample_agent", + name: agentName, initialState: { mcp_config: savedConfigs, }, @@ -158,7 +167,7 @@ export function MCPConfigForm({ showSpreadsheet, setShowSpreadsheet }: { showSpr {/* Header */}
-
+
-

- Open MCP Client -

+
+

+ Open MCP Client +

+ {/*
Toggle
*/} +
+ LangGraph + + Crew AI +
+
@@ -235,7 +266,7 @@ export function MCPConfigForm({ showSpreadsheet, setShowSpreadsheet }: { showSpr onClick={() => setShowSpreadsheet(!showSpreadsheet)} className="w-full sm:w-auto px-3 py-1.5 bg-gray-800 text-white rounded-md text-sm font-medium hover:bg-gray-700 flex items-center gap-1 justify-center" > - {showSpreadsheet ? 'Hide Spreadsheet' : 'Show Spreadsheet'} + {showSpreadsheet ? "Hide Spreadsheet" : "Show Spreadsheet"} + {isChatOpen ? ( + + + + ) : ( + + + + )} + - {/* Fixed sidebar - hidden on mobile, shown on larger screens */} -
- -
-
+ {/* Fixed sidebar - hidden on mobile, shown on larger screens */} +
+ +
+
+ + ); } diff --git a/package.json b/package.json index 3b1b886..ea43cac 100644 --- a/package.json +++ b/package.json @@ -5,15 +5,17 @@ "scripts": { "dev-frontend": "pnpm i && next dev --turbopack", "dev-agent": "cd agent && poetry install && poetry run langgraph dev --host localhost --port 8123 --no-browser", - "dev": "pnpx concurrently \"pnpm dev-frontend\" \"pnpm dev-agent\" --names ui,agent --prefix-colors blue,green", + "dev-crewai-agent": "cd agent && poetry install && poetry run demo", + "dev": "pnpx concurrently \"pnpm dev-frontend\" \"pnpm dev-agent\" \"pnpm dev-crewai-agent\" --names ui,langgraph-agent,crewai-agent --prefix-colors blue,green,cyan", "build": "next build", "start": "next start", "lint": "next lint" }, "dependencies": { - "@copilotkit/react-core": "^1.6.0", - "@copilotkit/react-ui": "^1.6.0", - "@copilotkit/runtime": "^1.6.0", + "@copilotkit/react-core": "1.8.2", + "@copilotkit/react-ui": "1.8.2", + "@copilotkit/runtime": "1.8.2", + "@copilotkit/runtime-client-gql": "1.8.2", "@heroicons/react": "^2.2.0", "@langchain/openai": "^0.4.5", "class-validator": "^0.14.1", diff --git a/pnpm-lock.yaml b/pnpm-lock.yaml index 52ddd4b..068f9cf 100644 --- a/pnpm-lock.yaml +++ b/pnpm-lock.yaml @@ -9,20 +9,23 @@ importers: .: dependencies: '@copilotkit/react-core': - specifier: ^1.6.0 - version: 1.6.0(@types/react@19.0.10)(graphql@16.10.0)(react-dom@19.0.0(react@19.0.0))(react@19.0.0) + specifier: 1.8.2 + version: 1.8.2(@types/react@19.0.10)(graphql@16.10.0)(react-dom@19.0.0(react@19.0.0))(react@19.0.0) '@copilotkit/react-ui': - specifier: ^1.6.0 - version: 1.6.0(@types/react@19.0.10)(graphql@16.10.0)(react-dom@19.0.0(react@19.0.0))(react@19.0.0) + specifier: 1.8.2 + version: 1.8.2(@types/react@19.0.10)(graphql@16.10.0)(react-dom@19.0.0(react@19.0.0))(react@19.0.0) '@copilotkit/runtime': - specifier: ^1.6.0 - version: 1.6.0(@browserbasehq/sdk@2.3.0)(@browserbasehq/stagehand@1.13.1(@playwright/test@1.50.1)(deepmerge@4.3.1)(dotenv@16.4.7)(openai@4.85.4(ws@8.18.1)(zod@3.24.2))(zod@3.24.2))(@ibm-cloud/watsonx-ai@1.5.0(@langchain/core@0.3.40(openai@4.85.4(ws@8.18.1)(zod@3.24.2))))(axios@1.7.9)(google-auth-library@8.9.0)(ibm-cloud-sdk-core@5.1.3)(ignore@5.3.2)(jsonwebtoken@9.0.2)(lodash@4.17.21)(playwright@1.50.1)(ws@8.18.1) + specifier: 1.8.2 + version: 1.8.2(@browserbasehq/sdk@2.3.0)(@browserbasehq/stagehand@1.13.1(@playwright/test@1.50.1)(deepmerge@4.3.1)(dotenv@16.4.7)(openai@4.89.0(ws@8.18.1)(zod@3.24.2))(zod@3.24.2))(@ibm-cloud/watsonx-ai@1.5.0(@langchain/core@0.3.40(openai@4.89.0(ws@8.18.1)(zod@3.24.2))))(axios@1.7.9)(google-auth-library@8.9.0)(ibm-cloud-sdk-core@5.1.3)(ignore@5.3.2)(jsonwebtoken@9.0.2)(lodash@4.17.21)(playwright@1.50.1)(ws@8.18.1) + '@copilotkit/runtime-client-gql': + specifier: 1.8.2 + version: 1.8.2(graphql@16.10.0)(react@19.0.0) '@heroicons/react': specifier: ^2.2.0 version: 2.2.0(react@19.0.0) '@langchain/openai': specifier: ^0.4.5 - version: 0.4.5(@langchain/core@0.3.40(openai@4.85.4(ws@8.18.1)(zod@3.24.2)))(ws@8.18.1) + version: 0.4.5(@langchain/core@0.3.40(openai@4.89.0(ws@8.18.1)(zod@3.24.2)))(ws@8.18.1) class-validator: specifier: ^0.14.1 version: 0.14.1 @@ -121,27 +124,27 @@ packages: '@cfworker/json-schema@4.1.1': resolution: {integrity: sha512-gAmrUZSGtKc3AiBL71iNWxDsyUC5uMaKKGdvzYsBoTW/xi42JQHl7eKV2OYzCUqvc+D2RCcf7EXY2iCyFIk6og==} - '@copilotkit/react-core@1.6.0': - resolution: {integrity: sha512-W97UmClEYBylDrt6SpyW2BN8PsjnGDVLBEm4l4M9+b7KgKMt/3/XYlNO7tlU2O6ezC2EEgO6LPt4Uzas2/p9Yw==} + '@copilotkit/react-core@1.8.2': + resolution: {integrity: sha512-lQj6PovM7sTYbDPzo9hyzBEB7VCFxWz0NFFAFzzzBMFMh8gPBRiOamsOv/jZTDV3k1z9uQgBxfME6AYe+yVeNw==} peerDependencies: react: ^18 || ^19 || ^19.0.0-rc react-dom: ^18 || ^19 || ^19.0.0-rc - '@copilotkit/react-ui@1.6.0': - resolution: {integrity: sha512-fqC9xGPpqysIqf2FfDBqsCO4BnVXXJFvPGqJIK6pAIx/TOf3BPFSR1xfXbDcgqKsxltHEoS0pcm0sc9FRGI9Dg==} + '@copilotkit/react-ui@1.8.2': + resolution: {integrity: sha512-1KMy7y61ApgVyDZy9TpUR764moKqmP8tv/7TLAA3M7MsIJF8EC5qv304U2d+0sIEqqFiNF2z6qjTBbNp/20IhA==} peerDependencies: react: ^18 || ^19 || ^19.0.0-rc - 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