From 1677b7bb2e7f88921f9656d58b243dc359761c85 Mon Sep 17 00:00:00 2001 From: GeneralJerel <85066839+GeneralJerel@users.noreply.github.com> Date: Mon, 18 May 2026 05:23:54 -0700 Subject: [PATCH] feat(generative-ui): add AI Deep Research Agent demo MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Vendors the deep-agents showcase from CopilotKit/CopilotKit (examples/showcases/deep-agents) into generative_ui_agents/ — self-contained Next.js + LangGraph Python app demonstrating planning, virtual filesystem, and per-tool generative UI cards with Tavily-powered web research. --- README.md | 1 + .../ai-deep-research-agent/.dockerignore | 8 + .../ai-deep-research-agent/.env.example | 15 + .../ai-deep-research-agent/.gitignore | 61 + .../ai-deep-research-agent/Dockerfile | 21 + .../ai-deep-research-agent/README.md | 100 + .../agent/.dockerignore | 8 + .../ai-deep-research-agent/agent/agent.py | 96 + .../ai-deep-research-agent/agent/main.py | 99 + .../agent/pyproject.toml | 20 + .../ai-deep-research-agent/agent/railway.toml | 9 + .../ai-deep-research-agent/agent/tools.py | 179 + .../ai-deep-research-agent/agent/uv.lock | 1521 ++ .../bin/meridian-wrapper | 52 + .../ai-deep-research-agent/next.config.ts | 7 + .../ai-deep-research-agent/package-lock.json | 16386 ++++++++++++++++ .../ai-deep-research-agent/package.json | 31 + .../ai-deep-research-agent/postcss.config.mjs | 7 + .../public/og-image.png | 3 + .../ai-deep-research-agent/railway.json | 12 + .../ai-deep-research-agent/railway.toml | 15 + .../src/app/api/copilotkit/route.ts | 29 + .../src/app/globals.css | 589 + .../ai-deep-research-agent/src/app/layout.tsx | 38 + .../ai-deep-research-agent/src/app/page.tsx | 159 + .../src/components/FileViewerModal.tsx | 175 + .../src/components/ToolCard.tsx | 435 + .../src/components/Workspace.tsx | 350 + .../src/types/research.ts | 39 + .../ai-deep-research-agent/tsconfig.json | 34 + 30 files changed, 20499 insertions(+) create mode 100644 generative_ui_agents/ai-deep-research-agent/.dockerignore create mode 100644 generative_ui_agents/ai-deep-research-agent/.env.example create mode 100644 generative_ui_agents/ai-deep-research-agent/.gitignore create mode 100644 generative_ui_agents/ai-deep-research-agent/Dockerfile create mode 100644 generative_ui_agents/ai-deep-research-agent/README.md create mode 100644 generative_ui_agents/ai-deep-research-agent/agent/.dockerignore create mode 100644 generative_ui_agents/ai-deep-research-agent/agent/agent.py create mode 100644 generative_ui_agents/ai-deep-research-agent/agent/main.py create mode 100644 generative_ui_agents/ai-deep-research-agent/agent/pyproject.toml create mode 100644 generative_ui_agents/ai-deep-research-agent/agent/railway.toml create mode 100644 generative_ui_agents/ai-deep-research-agent/agent/tools.py create mode 100644 generative_ui_agents/ai-deep-research-agent/agent/uv.lock create mode 100755 generative_ui_agents/ai-deep-research-agent/bin/meridian-wrapper create mode 100644 generative_ui_agents/ai-deep-research-agent/next.config.ts create mode 100644 generative_ui_agents/ai-deep-research-agent/package-lock.json create mode 100644 generative_ui_agents/ai-deep-research-agent/package.json create mode 100644 generative_ui_agents/ai-deep-research-agent/postcss.config.mjs create mode 100644 generative_ui_agents/ai-deep-research-agent/public/og-image.png create mode 100644 generative_ui_agents/ai-deep-research-agent/railway.json create mode 100644 generative_ui_agents/ai-deep-research-agent/railway.toml create mode 100644 generative_ui_agents/ai-deep-research-agent/src/app/api/copilotkit/route.ts create mode 100644 generative_ui_agents/ai-deep-research-agent/src/app/globals.css create mode 100644 generative_ui_agents/ai-deep-research-agent/src/app/layout.tsx create mode 100644 generative_ui_agents/ai-deep-research-agent/src/app/page.tsx create mode 100644 generative_ui_agents/ai-deep-research-agent/src/components/FileViewerModal.tsx create mode 100644 generative_ui_agents/ai-deep-research-agent/src/components/ToolCard.tsx create mode 100644 generative_ui_agents/ai-deep-research-agent/src/components/Workspace.tsx create mode 100644 generative_ui_agents/ai-deep-research-agent/src/types/research.ts create mode 100644 generative_ui_agents/ai-deep-research-agent/tsconfig.json diff --git a/README.md b/README.md index b1ab12c2..7b5cbb6a 100644 --- a/README.md +++ b/README.md @@ -172,6 +172,7 @@ streamlit run travel_agent.py * [🛠️ AI MCP App Builder](generative_ui_agents/ai-mcp-app-builder/) * [✈️ MCP Apps Generative UI Showcase](generative_ui_agents/mcp-apps-generative-ui-showcase/) * [🎛️ AI Shadcn Component Generator](generative_ui_agents/ai-shadcn-component-generator/) +* [🔍 AI Deep Research Agent](generative_ui_agents/ai-deep-research-agent/) See [`generative_ui_agents/`](generative_ui_agents/) for the category overview, conventions, and how to contribute a template. diff --git a/generative_ui_agents/ai-deep-research-agent/.dockerignore b/generative_ui_agents/ai-deep-research-agent/.dockerignore new file mode 100644 index 00000000..06999fcd --- /dev/null +++ b/generative_ui_agents/ai-deep-research-agent/.dockerignore @@ -0,0 +1,8 @@ +node_modules +.next +.git +.env +.env.local +.meridian +*.log +.DS_Store diff --git a/generative_ui_agents/ai-deep-research-agent/.env.example b/generative_ui_agents/ai-deep-research-agent/.env.example new file mode 100644 index 00000000..7aa5e4a3 --- /dev/null +++ b/generative_ui_agents/ai-deep-research-agent/.env.example @@ -0,0 +1,15 @@ +# Deep Research Assistant - Environment Variables + +# Backend Server Configuration +SERVER_HOST=0.0.0.0 +SERVER_PORT=8123 + +# Frontend → Backend Connection +LANGGRAPH_DEPLOYMENT_URL=http://localhost:8123 + +# OpenAI API (https://platform.openai.com/api-keys) +OPENAI_API_KEY=sk-... +OPENAI_MODEL=gpt-5.2 + +# Tavily API (https://app.tavily.com/) +TAVILY_API_KEY=tvly-... diff --git a/generative_ui_agents/ai-deep-research-agent/.gitignore b/generative_ui_agents/ai-deep-research-agent/.gitignore new file mode 100644 index 00000000..6c774db9 --- /dev/null +++ b/generative_ui_agents/ai-deep-research-agent/.gitignore @@ -0,0 +1,61 @@ +# Project-specific +.mcp.json +CLAUDE.md +.claude/ +.meridian/ + +# Dependencies +node_modules/ +.pnpm-store/ + +# Next.js +.next/ +out/ +build/ + +# Python +__pycache__/ +*.py[cod] +*$py.class +.Python +*.so +.eggs/ +*.egg-info/ +.venv/ +venv/ +ENV/ +.uv/ + +# Environment files +.env +.env.local +.env.development.local +.env.test.local +.env.production.local + +# IDE +.idea/ +.vscode/ +*.swp +*.swo + +# OS +.DS_Store +Thumbs.db + +# Debug +npm-debug.log* +yarn-debug.log* +yarn-error.log* + +# TypeScript +*.tsbuildinfo +next-env.d.ts + +# Testing +coverage/ +.nyc_output/ + +# Misc +*.log +.cache/ \ No newline at end of file diff --git a/generative_ui_agents/ai-deep-research-agent/Dockerfile b/generative_ui_agents/ai-deep-research-agent/Dockerfile new file mode 100644 index 00000000..e3197b3a --- /dev/null +++ b/generative_ui_agents/ai-deep-research-agent/Dockerfile @@ -0,0 +1,21 @@ +FROM node:20-slim + +WORKDIR /app + +# Copy package files +COPY package*.json ./ + +# Install dependencies +RUN npm install + +# Copy source files +COPY . . + +# Build Next.js app +RUN npm run build + +# Expose port +EXPOSE 3000 + +# Start server +CMD ["npm", "start"] diff --git a/generative_ui_agents/ai-deep-research-agent/README.md b/generative_ui_agents/ai-deep-research-agent/README.md new file mode 100644 index 00000000..e39f671c --- /dev/null +++ b/generative_ui_agents/ai-deep-research-agent/README.md @@ -0,0 +1,100 @@ +# AI Deep Research Agent + +A deep research assistant that plans, searches the web, writes to a virtual filesystem, and renders each tool call as a live card in a workspace pane. Built with [CopilotKit](https://github.com/CopilotKit/CopilotKit), [Deep Agents](https://docs.copilotkit.ai/integrations/langgraph/deep-agents), [AG-UI](https://github.com/ag-ui-protocol/ag-ui), and [Tavily](https://www.tavily.com/) on top of Next.js + LangGraph (Python). + +https://github.com/user-attachments/assets/68d5729f-91f9-4fd9-a579-cd1a8f4aad8d + +**Gen UI concept — tool-rendered components with a sidecar workspace.** The Deep Agent emits four tools — `write_todos`, `write_file`, `read_file`, and `research` — and each one renders inline as a status card in the chat while updating a parallel workspace pane (plan, files, expandable tool results). Local React state mirrors the agent's filesystem via `useDefaultTool` rather than `useCoAgent`, sidestepping a Python `Dict` ↔ TypeScript `Array` type mismatch. + +## Prerequisites + +- Node.js 18+ +- Python 3.12+ +- [OpenAI API Key](https://platform.openai.com/api-keys) +- [Tavily API Key](https://app.tavily.com/home) +- [uv](https://docs.astral.sh/uv/) (or pip) for Python deps + +## Getting Started + +1. Install Node dependencies: + +```bash +npm install +``` + +2. Install Python dependencies for the agent: + +```bash +cd agent +uv venv && source .venv/bin/activate +uv pip install -e . +cd .. +``` + +Or with pip: + +```bash +cd agent +python -m venv .venv && source .venv/bin/activate +pip install -e . +cd .. +``` + +3. Copy `.env.example` to `.env` in both the root and `agent/` directories, then fill in `OPENAI_API_KEY` and `TAVILY_API_KEY`. + +4. Start the agent (terminal 1): + +```bash +cd agent +uv run python main.py +``` + +5. Start the frontend (terminal 2): + +```bash +npm run dev +``` + +Open [http://localhost:3000](http://localhost:3000) and ask the assistant to research any topic. + +## Architecture + +``` +[User asks research question] + ↓ +Next.js Frontend (CopilotChat + Workspace) + ↓ +CopilotKit Runtime → LangGraphHttpAgent + ↓ +Python Backend (FastAPI + AG-UI) + ↓ +Deep Agent (research_assistant) + ├── write_todos (planning, built-in) + ├── write_file (filesystem, built-in) + ├── read_file (filesystem, built-in) + └── research(query) + └── internal Deep Agent [thread-isolated] + └── internet_search (Tavily) +``` + +## Environment Variables + +| Variable | Required | Default | Description | +| -------------------------- | -------- | ----------------------- | --------------------------------------------------- | +| `OPENAI_API_KEY` | Yes | - | [Get API key](https://platform.openai.com/api-keys) | +| `TAVILY_API_KEY` | Yes | - | [Get API key](https://app.tavily.com/home) | +| `OPENAI_MODEL` | No | `gpt-5.2` | Model to use (gpt-5.2, gpt-5, etc.) | +| `LANGGRAPH_DEPLOYMENT_URL` | No | `http://localhost:8123` | Backend URL | +| `SERVER_HOST` | No | `0.0.0.0` | Backend host | +| `SERVER_PORT` | No | `8123` | Backend port | + +## Learn more + +- [Deep Agents documentation](https://docs.copilotkit.ai/integrations/langgraph/deep-agents) +- [Building Frontends for Deep Agents](https://www.copilotkit.ai/blog/how-to-build-a-frontend-for-langchain-deep-agents-with-copilotkit) +- [CopilotKit documentation](https://docs.copilotkit.ai) +- [Tavily documentation](https://docs.tavily.com/welcome) + +## License + +Upstream license applies — see [`CopilotKit/CopilotKit`](https://github.com/CopilotKit/CopilotKit). diff --git a/generative_ui_agents/ai-deep-research-agent/agent/.dockerignore b/generative_ui_agents/ai-deep-research-agent/agent/.dockerignore new file mode 100644 index 00000000..bb632a18 --- /dev/null +++ b/generative_ui_agents/ai-deep-research-agent/agent/.dockerignore @@ -0,0 +1,8 @@ +.venv +__pycache__ +*.pyc +.git +.env +*.log +.DS_Store +deep_research_agent.egg-info diff --git a/generative_ui_agents/ai-deep-research-agent/agent/agent.py b/generative_ui_agents/ai-deep-research-agent/agent/agent.py new file mode 100644 index 00000000..88f8299c --- /dev/null +++ b/generative_ui_agents/ai-deep-research-agent/agent/agent.py @@ -0,0 +1,96 @@ +""" +Deep Research Assistant Agent + +A Deep Agents-powered research assistant that demonstrates CopilotKit's +planning, filesystem, and subagent capabilities using Tavily for web research. +""" + +import os +from dotenv import load_dotenv +from langchain_openai import ChatOpenAI +from deepagents import create_deep_agent +from langgraph.checkpoint.memory import MemorySaver +from copilotkit import CopilotKitMiddleware + +from tools import research + +load_dotenv() + + +# Main agent system prompt - coordinates research and synthesizes findings +MAIN_SYSTEM_PROMPT = """You are a Deep Research Assistant, an expert at planning and +executing comprehensive research on any topic. + +Hard rules (ALWAYS follow): +- NEVER output raw JSON, data structures, or code blocks in your messages +- Communicate with the user only in natural, readable prose +- When you receive data from research, synthesize it into insights + +Your workflow: +1. PLAN: Create a research plan using write_todos with clear, actionable steps +2. RESEARCH: Use research(query) tool to investigate each topic +3. SYNTHESIZE: Write a final report to /reports/final_report.md using write_file + +Important guidelines: +- Always start by creating a research plan with write_todos +- Call research() for each distinct research question +- The research tool returns prose summaries of findings +- You write all files - compile findings into a comprehensive report +- Update todos as you complete each step + +Example workflow: +1. write_todos(["Research topic A", "Research topic B", "Synthesize findings"]) +2. research("Find information about topic A") -> receives prose summary +3. research("Find information about topic B") -> receives prose summary +4. write_file("/reports/final_report.md", "# Research Report\n\n...") + +Always maintain a professional, comprehensive research style.""" + + +def build_agent(): + """Build the Deep Research Agent with CopilotKit integration. + + Creates a main research coordinator agent with a researcher subagent. + Uses CopilotKitMiddleware for frontend state sync and generative UI. + + Returns: + Compiled LangGraph StateGraph configured for research tasks + """ + api_key = os.environ.get("OPENAI_API_KEY") + if not api_key: + raise RuntimeError("Missing OPENAI_API_KEY environment variable") + + # Check for Tavily API key + tavily_key = os.environ.get("TAVILY_API_KEY") + if not tavily_key: + raise RuntimeError("Missing TAVILY_API_KEY environment variable") + + # Initialize LLM - use model from env or default to gpt-5.2 + model_name = os.environ.get("OPENAI_MODEL", "gpt-5.2") + llm = ChatOpenAI( + model=model_name, + temperature=0.7, + api_key=api_key, + ) + + # Main agent gets research tool plus built-in Deep Agents tools + # (write_todos, read_file, write_file) + # The research tool wraps an internal Deep Agent that runs via .invoke() + # so its text doesn't stream to the frontend + main_tools = [research] + + # Create the Deep Agent with CopilotKit middleware + # No subagents - research() tool handles web search internally + agent_graph = create_deep_agent( + model=llm, + system_prompt=MAIN_SYSTEM_PROMPT, + tools=main_tools, + middleware=[CopilotKitMiddleware()], + checkpointer=MemorySaver(), + ) + + print(f"[AGENT] Deep Research Agent created with model={model_name}") + print(f"[AGENT] Main tools: {[t.name for t in main_tools]}") + + # Configure recursion limit for complex research tasks + return agent_graph.with_config({"recursion_limit": 100}) diff --git a/generative_ui_agents/ai-deep-research-agent/agent/main.py b/generative_ui_agents/ai-deep-research-agent/agent/main.py new file mode 100644 index 00000000..2b8c63ae --- /dev/null +++ b/generative_ui_agents/ai-deep-research-agent/agent/main.py @@ -0,0 +1,99 @@ +""" +Deep Research Assistant - FastAPI Server + +Serves the Deep Research Agent via AG-UI protocol for CopilotKit integration. +The agent uses Tavily for web research and Deep Agents for planning and filesystem operations. +""" + +import os +from fastapi import FastAPI +from fastapi.middleware.cors import CORSMiddleware +from dotenv import load_dotenv +from ag_ui_langgraph import add_langgraph_fastapi_endpoint +from copilotkit import LangGraphAGUIAgent +from copilotkit.langgraph import copilotkit_customize_config + +from agent import build_agent + +load_dotenv() + +app = FastAPI( + title="Deep Research Assistant", + description="A research assistant powered by Deep Agents and CopilotKit", + version="1.0.0", +) + +# Enable CORS for frontend communication +# Using "*" for demo purposes - allows any origin including localhost and Railway deployments +app.add_middleware( + CORSMiddleware, + allow_origins=["*"], + allow_credentials=True, + allow_methods=["*"], + allow_headers=["*"], +) + + +@app.get("/health") +def health(): + """Health check endpoint for monitoring and Railway deployments""" + return {"status": "ok", "service": "deep-research-agent", "version": "1.0.0"} + + +# Build and register the Deep Research Agent +try: + agent_graph = build_agent() + + # Configure which tool calls to emit to the frontend + # Only emit main agent tools - suppress internal tools (internet_search from research subagent) + # This prevents subagent tool calls from appearing as JSON noise in the chat + agui_config = copilotkit_customize_config( + emit_tool_calls=[ + "research", + "write_todos", + "write_file", + "read_file", + "edit_file", + ] + ) + + # Add recursion limit for complex research tasks (6+ research calls + file operations) + agui_config["recursion_limit"] = 100 + + # Add AG-UI endpoint at root path for CopilotKit frontend + add_langgraph_fastapi_endpoint( + app=app, + agent=LangGraphAGUIAgent( + name="research_assistant", + description="A deep research assistant that plans, searches, and synthesizes research reports", + graph=agent_graph, + config=agui_config, + ), + path="/", + ) + + print("[SERVER] Deep Research Agent registered at /") +except Exception as e: + print(f"[ERROR] Failed to build agent: {e}") + raise + + +def main(): + """Run the server with uvicorn""" + import uvicorn + + host = os.getenv("SERVER_HOST", "0.0.0.0") + port = int(os.getenv("SERVER_PORT", "8123")) + + print(f"[SERVER] Starting on {host}:{port}") + uvicorn.run( + "main:app", + host=host, + port=port, + reload=True, + log_level="info", + ) + + +if __name__ == "__main__": + main() diff --git a/generative_ui_agents/ai-deep-research-agent/agent/pyproject.toml b/generative_ui_agents/ai-deep-research-agent/agent/pyproject.toml new file mode 100644 index 00000000..c104e502 --- /dev/null +++ b/generative_ui_agents/ai-deep-research-agent/agent/pyproject.toml @@ -0,0 +1,20 @@ +[project] +name = "deep-research-agent" +version = "0.1.0" +description = "Deep Research Assistant - A CopilotKit Deep Agents demo" +requires-python = ">=3.12" +dependencies = [ + "ag-ui-langgraph>=0.0.23", + "copilotkit>=0.1.76", + "deepagents>=0.3.5", + "fastapi>=0.115.14", + "langchain>=1.2.4", + "langchain-openai>=1.1.7", + "python-dotenv>=1.2.1", + "tavily-python>=0.3.0", + "uvicorn[standard]>=0.40.0", +] + +[tool.setuptools] +py-modules = ["agent", "main", "tools"] + diff --git a/generative_ui_agents/ai-deep-research-agent/agent/railway.toml b/generative_ui_agents/ai-deep-research-agent/agent/railway.toml new file mode 100644 index 00000000..43ea4a83 --- /dev/null +++ b/generative_ui_agents/ai-deep-research-agent/agent/railway.toml @@ -0,0 +1,9 @@ +[build] +builder = "nixpacks" + +[deploy] +startCommand = "uvicorn main:app --host 0.0.0.0 --port ${PORT:-8000}" +healthcheckPath = "/health" +healthcheckTimeout = 300 +restartPolicyType = "ON_FAILURE" +restartPolicyMaxRetries = 5 diff --git a/generative_ui_agents/ai-deep-research-agent/agent/tools.py b/generative_ui_agents/ai-deep-research-agent/agent/tools.py new file mode 100644 index 00000000..8de77c8c --- /dev/null +++ b/generative_ui_agents/ai-deep-research-agent/agent/tools.py @@ -0,0 +1,179 @@ +""" +Tavily-based Tools for Deep Research Agent + +Provides web search with content using the Tavily API. +The search returns full page content, eliminating the need for separate scraping. + +The research() tool wraps an internal Deep Agent that runs in a separate thread +to prevent subagent text from leaking to the frontend via LangChain callback propagation. +""" + +import os +from typing import Any +from concurrent.futures import ThreadPoolExecutor +from langchain_core.tools import tool +from langchain_core.messages import HumanMessage +from tavily import TavilyClient + + +def _do_internet_search(query: str, max_results: int = 5) -> list[dict[str, Any]]: + """Core search logic - callable as regular function. + + Args: + query: The search query string + max_results: Maximum number of results to return (default: 5) + + Returns: + List of dicts with url, title, and content for each result + """ + print(f"[TOOL] internet_search: query='{query}', max_results={max_results}") + + tavily_key = os.environ.get("TAVILY_API_KEY") + if not tavily_key: + raise RuntimeError("TAVILY_API_KEY not set") + + try: + client = TavilyClient(api_key=tavily_key) + results = client.search( + query=query, + max_results=max_results, + include_raw_content=False, # Disable raw content for performance + topic="general", + ) + + # Format results for agent consumption + formatted_results = [] + for r in results.get("results", []): + formatted_results.append( + { + "url": r.get("url", ""), + "title": r.get("title", ""), + "content": (r.get("content") or "")[ + :3000 + ], # Truncate to 3000 chars + } + ) + + print(f"[TOOL] internet_search: found {len(formatted_results)} results") + return formatted_results + + except Exception as e: + print(f"[TOOL] internet_search error: {e}") + return [{"error": str(e)}] + + +@tool +def internet_search(query: str, max_results: int = 5) -> list[dict[str, Any]]: + """Search the web and return results with content. + + Use this tool to find relevant web pages about a topic. + Returns search results including the page content for analysis. + + Args: + query: The search query string + max_results: Maximum number of results to return (default: 5) + + Returns: + List of dicts with url, title, and content for each result + """ + return _do_internet_search(query, max_results) + + +@tool +def research(query: str) -> dict: + """ + Research a topic using web search. Returns structured data with sources. + + This tool creates an internal Deep Agent that runs in a SEPARATE THREAD to prevent + LangChain callback propagation. The thread has isolated execution context, so the + internal agent's events don't leak to the parent's astream_events() stream. + + Args: + query: The research query/topic to investigate + + Returns: + dict: { + "summary": str - Prose summary of findings, + "sources": list[dict] - [{url, title, content, status}, ...] + } + """ + print(f"[TOOL] research: query='{query}' (using thread isolation)") + + from deepagents import create_deep_agent + from langchain_openai import ChatOpenAI + + def _run_research_isolated(): + """ + Runs in separate thread with no inherited LangChain context. + This breaks callback propagation at the OS level. + """ + # Capture internet_search results + search_results = [] + + # Wrapper to capture results while passing through to agent + def internet_search_tracked(query: str, max_results: int = 5): + """Search the web and return results with content. + + Args: + query: The search query string + max_results: Maximum number of results to return (default: 5) + + Returns: + List of dicts with url, title, and content for each result + """ + results = _do_internet_search(query, max_results) + search_results.extend(results) + return results + + model_name = os.environ.get("OPENAI_MODEL", "gpt-5.2") + llm = ChatOpenAI( + model=model_name, + temperature=0.7, + api_key=os.environ.get("OPENAI_API_KEY"), + ) + + # System prompt for the internal researcher + researcher_prompt = """You are a Research Specialist. + +Use internet_search to find information. Return a prose summary of findings. + +Rules: +- Call internet_search ONCE with a focused query +- Analyze the returned content +- Return a brief summary (2-3 sentences) of key findings +- No JSON, no code blocks, just prose""" + + research_agent = create_deep_agent( + model=llm, + system_prompt=researcher_prompt, + tools=[internet_search_tracked], # Use tracked version + # No middleware - this runs in isolated thread + ) + + # Run in isolated thread context - no callback inheritance possible + result = research_agent.invoke({"messages": [HumanMessage(content=query)]}) + + summary = result["messages"][-1].content + + # Format sources for frontend + sources = [ + { + "url": r["url"], + "title": r.get("title", ""), + "content": r.get("content", "")[:3000], # Include content preview + "status": "found", + } + for r in search_results + if "url" in r and not r.get("error") + ] + + return {"summary": summary, "sources": sources} + + # Run in thread pool to isolate from parent async context + # This blocks the tool execution until research completes, which is acceptable + with ThreadPoolExecutor(max_workers=1) as executor: + future = executor.submit(_run_research_isolated) + result = future.result() # Blocks until complete + + print(f"[TOOL] research: completed with {len(result['sources'])} sources") + return result diff --git a/generative_ui_agents/ai-deep-research-agent/agent/uv.lock b/generative_ui_agents/ai-deep-research-agent/agent/uv.lock new file mode 100644 index 00000000..a20e5241 --- /dev/null +++ b/generative_ui_agents/ai-deep-research-agent/agent/uv.lock @@ -0,0 +1,1521 @@ +version = 1 +revision = 3 +requires-python = ">=3.12" + +[[package]] +name = "ag-ui-langgraph" +version = "0.0.23" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "ag-ui-protocol" }, + { name = "langchain" }, + { name = "langchain-core" }, + { name = "langgraph" }, + { name = "pydantic" }, +] +sdist = { url = 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b/generative_ui_agents/ai-deep-research-agent/bin/meridian-wrapper @@ -0,0 +1,52 @@ +#!/usr/bin/env bash +# Wrapper that runs claude and handles auto-restart signals +# Usage: meridian-wrapper [claude args...] + +set -euo pipefail + +# Find project root (where .meridian exists) +find_project_root() { + local dir="$PWD" + while [[ "$dir" != "/" ]]; do + if [[ -d "$dir/.meridian" ]]; then + echo "$dir" + return 0 + fi + dir="$(dirname "$dir")" + done + echo "$PWD" # Fallback to current dir +} + +PROJECT_ROOT="$(find_project_root)" +SIGNAL_FILE="$PROJECT_ROOT/.meridian/.state/restart-signal" + +# Clean any stale signal file on startup +rm -f "$SIGNAL_FILE" 2>/dev/null || true + +while true; do + # Run claude with all passed arguments + claude "$@" || EXIT_CODE=$? + EXIT_CODE=${EXIT_CODE:-0} + + # Check for restart signal + if [[ -f "$SIGNAL_FILE" ]]; then + # Read the initial prompt from signal file + INITIAL_PROMPT=$(cat "$SIGNAL_FILE") + rm -f "$SIGNAL_FILE" + + echo "" + echo "🔄 Meridian: Restarting session with prompt: \"$INITIAL_PROMPT\"" + echo "" + + # Small delay to ensure clean handoff + sleep 0.5 + + # Restart claude with the prompt as argument + # Note: claude accepts initial prompt as positional argument + set -- "$INITIAL_PROMPT" # Replace args with just the prompt + continue # Loop back to run claude with new args + else + # No restart signal - exit wrapper with claude's exit code + exit $EXIT_CODE + fi +done diff --git a/generative_ui_agents/ai-deep-research-agent/next.config.ts b/generative_ui_agents/ai-deep-research-agent/next.config.ts new file mode 100644 index 00000000..e9ffa308 --- /dev/null +++ b/generative_ui_agents/ai-deep-research-agent/next.config.ts @@ -0,0 +1,7 @@ +import type { NextConfig } from "next"; + +const nextConfig: NextConfig = { + /* config options here */ +}; + +export default nextConfig; diff --git a/generative_ui_agents/ai-deep-research-agent/package-lock.json 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"@types/react-dom": "^19", + "patch-package": "^8.0.1", + "tailwindcss": "^4", + "typescript": "^5" + } +} diff --git a/generative_ui_agents/ai-deep-research-agent/postcss.config.mjs b/generative_ui_agents/ai-deep-research-agent/postcss.config.mjs new file mode 100644 index 00000000..61e36849 --- /dev/null +++ b/generative_ui_agents/ai-deep-research-agent/postcss.config.mjs @@ -0,0 +1,7 @@ +const config = { + plugins: { + "@tailwindcss/postcss": {}, + }, +}; + +export default config; diff --git a/generative_ui_agents/ai-deep-research-agent/public/og-image.png b/generative_ui_agents/ai-deep-research-agent/public/og-image.png new file mode 100644 index 00000000..84d0110b --- /dev/null +++ b/generative_ui_agents/ai-deep-research-agent/public/og-image.png @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0ec9c61cac923697b1c3e9452458d24d4a75cbdcdef05194d94a35eb68f3d59a +size 215406 diff --git a/generative_ui_agents/ai-deep-research-agent/railway.json b/generative_ui_agents/ai-deep-research-agent/railway.json new file mode 100644 index 00000000..47eec125 --- /dev/null +++ b/generative_ui_agents/ai-deep-research-agent/railway.json @@ -0,0 +1,12 @@ +{ + "$schema": "https://railway.app/railway.schema.json", + "build": { + "builder": "DOCKERFILE", + "dockerfilePath": "Dockerfile" + }, + "deploy": { + "startCommand": "npm start", + "restartPolicyType": "ON_FAILURE", + "restartPolicyMaxRetries": 5 + } +} diff --git a/generative_ui_agents/ai-deep-research-agent/railway.toml b/generative_ui_agents/ai-deep-research-agent/railway.toml new file mode 100644 index 00000000..902dab18 --- /dev/null +++ b/generative_ui_agents/ai-deep-research-agent/railway.toml @@ -0,0 +1,15 @@ +[build] +builder = "dockerfile" +dockerfilePath = "Dockerfile" +watchPatterns = [ + "src/**", + "public/**", + "package.json", + "Dockerfile", + "next.config.ts", +] + +[deploy] +startCommand = "npm start" +restartPolicyType = "ON_FAILURE" +restartPolicyMaxRetries = 5 diff --git a/generative_ui_agents/ai-deep-research-agent/src/app/api/copilotkit/route.ts b/generative_ui_agents/ai-deep-research-agent/src/app/api/copilotkit/route.ts new file mode 100644 index 00000000..462dddd8 --- /dev/null +++ b/generative_ui_agents/ai-deep-research-agent/src/app/api/copilotkit/route.ts @@ -0,0 +1,29 @@ +import { + CopilotRuntime, + ExperimentalEmptyAdapter, + copilotRuntimeNextJSAppRouterEndpoint, +} from "@copilotkit/runtime"; +import { LangGraphHttpAgent } from "@copilotkit/runtime/langgraph"; +import { NextRequest } from "next/server"; + +// Empty adapter since the LLM is handled by the remote agent +const serviceAdapter = new ExperimentalEmptyAdapter(); + +// Configure CopilotKit runtime with the Deep Agents backend +const runtime = new CopilotRuntime({ + agents: { + research_assistant: new LangGraphHttpAgent({ + url: process.env.LANGGRAPH_DEPLOYMENT_URL || "http://localhost:8123", + }), + }, +}); + +export const POST = async (req: NextRequest) => { + const { handleRequest } = copilotRuntimeNextJSAppRouterEndpoint({ + runtime, + serviceAdapter, + endpoint: "/api/copilotkit", + }); + + return handleRequest(req); +}; diff --git a/generative_ui_agents/ai-deep-research-agent/src/app/globals.css b/generative_ui_agents/ai-deep-research-agent/src/app/globals.css new file mode 100644 index 00000000..423f35c4 --- /dev/null +++ b/generative_ui_agents/ai-deep-research-agent/src/app/globals.css @@ -0,0 +1,589 @@ +/* Inter + JetBrains Mono - Refined typography system */ +@import url("https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700;800&family=JetBrains+Mono:wght@400;500&display=swap"); + +@import "tailwindcss"; + +/* Typography plugin for markdown rendering */ +@plugin "@tailwindcss/typography"; + +/* ============================================================================= + DESIGN SYSTEM - CopilotKit Palette +============================================================================= */ + +:root { + /* Background & Surfaces */ + --color-background: #fafaf9; + --color-surface: #f5f5f4; + --color-surface-light: #fafaf9; + --color-surface-elevated: #ffffff; + --color-container: #ffffff; + + /* Text Hierarchy */ + --color-text-primary: #1c1917; + --color-text-secondary: #57534e; + --color-text-tertiary: #a8a29e; + + /* Accent Color (Deep Amber) */ + --color-accent: #d97706; + --color-accent-light: #f59e0b; + --color-accent-dark: #92400e; + + /* Legacy color names for compatibility */ + --color-lilac: var(--color-accent); + --color-lilac-light: var(--color-accent-light); + --color-lilac-dark: var(--color-accent-dark); + --color-mint: var(--color-success); + --color-mint-light: #10b981; + --color-mint-dark: var(--color-success); + + /* Status Colors */ + --color-success: #15803d; + --color-error: #b91c1c; + --color-warning: #d97706; + + /* Borders */ + --color-border: #e7e5e4; + --color-border-light: #f5f5f4; + --color-border-subtle: #f5f5f4; + --color-border-glass: rgba(231, 229, 228, 0.4); + + /* Glassmorphism */ + --color-glass: rgba(255, 255, 255, 0.85); + --color-glass-subtle: rgba(255, 255, 255, 0.6); + --color-glass-dark: rgba(255, 255, 255, 0.95); + --color-glass-elevated: rgba(255, 255, 255, 0.95); + + /* Shadows */ + --shadow-sm: 0 1px 2px rgba(0, 0, 0, 0.05); + --shadow-md: + 0 4px 6px -1px rgba(0, 0, 0, 0.07), 0 2px 4px -1px rgba(0, 0, 0, 0.04); + --shadow-lg: + 0 10px 25px -3px rgba(0, 0, 0, 0.08), 0 4px 6px -2px rgba(0, 0, 0, 0.03); + --shadow-glass: 0 4px 30px rgba(0, 0, 0, 0.1); + + /* Spacing */ + --space-1: 4px; + --space-2: 8px; + --space-3: 12px; + --space-4: 16px; + --space-5: 20px; + --space-6: 24px; + --space-8: 32px; + --space-10: 40px; + --space-12: 48px; + --space-16: 64px; + --space-20: 80px; + + /* Radii */ + --radius-sm: 6px; + --radius-md: 8px; + --radius-lg: 12px; + --radius-xl: 16px; + --radius-2xl: 24px; + + /* Typography */ + --font-display: "Inter", system-ui, sans-serif; + --font-body: "Inter", system-ui, sans-serif; + --font-mono: "JetBrains Mono", "Courier New", monospace; + --font-family: "Inter", system-ui, sans-serif; + + --text-xs: 0.75rem; + --text-sm: 0.875rem; + --text-base: 1rem; + --text-lg: 1.125rem; + --text-xl: 1.375rem; + --text-2xl: 1.75rem; + --text-3xl: 2.25rem; + + --font-size-xs: 12px; + --font-size-sm: 14px; + --font-size-base: 16px; + --font-size-lg: 18px; + --font-size-xl: 20px; + --font-size-2xl: 24px; + --font-size-3xl: 32px; + --font-size-4xl: 40px; + + --font-light: 300; + --font-normal: 400; + --font-medium: 500; + --font-semibold: 600; + --font-bold: 700; + --font-extrabold: 800; + + color-scheme: light; +} + +@theme inline { + --color-background: var(--color-surface-light); + --color-foreground: var(--color-text-primary); + --font-sans: var(--font-family); +} + +/* ============================================================================= + BASE STYLES +============================================================================= */ + +body { + font-family: var(--font-family); + background: var(--color-surface-light); + color: var(--color-text-primary); + line-height: 1.6; + -webkit-font-smoothing: antialiased; + -moz-osx-font-smoothing: grayscale; +} + +/* ============================================================================= + ABSTRACT SHAPES BACKGROUND +============================================================================= */ + +.abstract-bg { + position: fixed; + inset: 0; + overflow: hidden; + z-index: 0; + background: linear-gradient( + 135deg, + var(--color-surface-light) 0%, + var(--color-surface) 100% + ); +} + +.abstract-bg::before, +.abstract-bg::after { + content: ""; + position: absolute; + border-radius: 50%; + filter: blur(80px); + opacity: 0.6; +} + +.abstract-bg::before { + width: 600px; + height: 600px; + background: radial-gradient( + circle, + rgba(217, 119, 6, 0.15), + rgba(217, 119, 6, 0.08), + transparent 70% + ); + top: -200px; + right: -100px; + animation: blob1 25s ease-in-out infinite; +} + +.abstract-bg::after { + width: 500px; + height: 500px; + background: radial-gradient( + circle, + rgba(168, 162, 158, 0.12), + rgba(168, 162, 158, 0.06), + transparent 70% + ); + bottom: -150px; + left: -100px; + animation: blob2 30s ease-in-out infinite; +} + +.blob-3 { + position: absolute; + width: 400px; + height: 400px; + background: radial-gradient( + circle, + rgba(217, 119, 6, 0.1), + rgba(231, 229, 228, 0.08), + transparent 70% + ); + border-radius: 50%; + filter: blur(100px); + opacity: 0.4; + top: 50%; + left: 50%; + transform: translate(-50%, -50%); + animation: blob3 35s ease-in-out infinite; +} + +@keyframes blob1 { + 0%, + 100% { + transform: translate(0, 0) scale(1); + } + 25% { + transform: translate(-30px, 50px) scale(1.1); + } + 50% { + transform: translate(20px, -30px) scale(0.95); + } + 75% { + transform: translate(40px, 20px) scale(1.05); + } +} + +@keyframes blob2 { + 0%, + 100% { + transform: translate(0, 0) scale(1); + } + 33% { + transform: translate(50px, -40px) scale(1.1); + } + 66% { + transform: translate(-30px, 30px) scale(0.9); + } +} + +@keyframes blob3 { + 0%, + 100% { + transform: translate(-50%, -50%) scale(1); + } + 25% { + transform: translate(-45%, -55%) scale(1.15); + } + 50% { + transform: translate(-55%, -45%) scale(0.9); + } + 75% { + transform: translate(-48%, -52%) scale(1.1); + } +} + +/* ============================================================================= + GLASSMORPHISM COMPONENTS +============================================================================= */ + +.glass { + background: var(--color-glass); + backdrop-filter: blur(12px); + -webkit-backdrop-filter: blur(12px); + border: 1px solid var(--color-border-glass); + border-radius: var(--radius-xl); + box-shadow: var(--shadow-glass); +} + +.glass-subtle { + background: var(--color-glass-subtle); + backdrop-filter: blur(8px); + -webkit-backdrop-filter: blur(8px); + border: 1px solid var(--color-border-glass); + border-radius: var(--radius-lg); +} + +.glass-card { + background: var(--color-glass); + backdrop-filter: blur(12px); + -webkit-backdrop-filter: blur(12px); + border: 1px solid var(--color-border-glass); + border-radius: var(--radius-xl); + box-shadow: var(--shadow-glass); + padding: var(--space-6); + transition: + transform 0.2s ease, + box-shadow 0.2s ease; +} + +.glass-card:hover { + transform: translateY(-2px); + box-shadow: 0 8px 40px rgba(0, 0, 0, 0.12); +} + +/* ============================================================================= + WORKSPACE PANEL (Deep Research specific) +============================================================================= */ + +.workspace-panel { + background: var(--color-glass-dark); + backdrop-filter: blur(16px); + -webkit-backdrop-filter: blur(16px); + height: 100%; + overflow-y: auto; +} + +.workspace-section { + background: var(--color-glass); + backdrop-filter: blur(8px); + -webkit-backdrop-filter: blur(8px); + border: 1px solid var(--color-border-glass); + border-radius: var(--radius-lg); + margin-bottom: var(--space-4); + overflow: hidden; +} + +.workspace-section-header { + display: flex; + align-items: center; + justify-content: space-between; + padding: var(--space-4); + cursor: pointer; + transition: background 0.2s ease; +} + +.workspace-section-header:hover { + background: var(--color-glass-subtle); +} + +.workspace-section-content { + padding: var(--space-4); + padding-top: 0; +} + +/* Todo items */ +.todo-item { + display: flex; + align-items: flex-start; + gap: var(--space-3); + padding: var(--space-3); + border-radius: var(--radius-md); + transition: background 0.2s ease; +} + +.todo-item:hover { + background: var(--color-glass-subtle); +} + +.todo-item-completed { + text-decoration: line-through; + color: var(--color-text-tertiary); +} + +.todo-item-pending { + color: var(--color-text-secondary); +} + +.todo-item-inprogress { + color: var(--color-text-primary); +} + +/* Status indicators */ +.status-completed { + color: var(--color-success); +} + +.status-pending { + color: var(--color-text-tertiary); +} + +.status-inprogress { + color: var(--color-accent-dark); + animation: pulse 2s ease-in-out infinite; +} + +@keyframes pulse { + 0%, + 100% { + opacity: 1; + } + 50% { + opacity: 0.5; + } +} + +/* File items */ +.file-item { + display: flex; + align-items: center; + justify-content: space-between; + padding: var(--space-3); + border-radius: var(--radius-md); + transition: background 0.2s ease; + cursor: pointer; +} + +.file-item:hover { + background: var(--color-glass-subtle); +} + +.file-item-icon { + width: 32px; + height: 32px; + border-radius: var(--radius-sm); + background: linear-gradient( + 135deg, + var(--color-accent), + var(--color-accent-dark) + ); + display: flex; + align-items: center; + justify-content: center; + color: white; +} + +/* Subagent indicator */ +.subagent-indicator { + display: flex; + align-items: center; + gap: var(--space-3); + padding: var(--space-4); + background: linear-gradient( + 135deg, + var(--color-accent-light), + rgba(231, 229, 228, 0.5) + ); + border-radius: var(--radius-lg); +} + +.subagent-indicator-active { + animation: shimmer 2s ease-in-out infinite; +} + +@keyframes shimmer { + 0%, + 100% { + opacity: 1; + } + 50% { + opacity: 0.7; + } +} + +.subagent-avatar { + width: 40px; + height: 40px; + border-radius: 50%; + background: linear-gradient( + 135deg, + var(--color-accent-dark), + var(--color-accent) + ); + display: flex; + align-items: center; + justify-content: center; + color: white; +} + +/* ============================================================================= + COPILOTKIT SIDEBAR OVERRIDES +============================================================================= */ + +[data-copilotkit-sidebar] { + --copilot-kit-background-color: rgba(250, 250, 249, 0.95) !important; + --copilot-kit-secondary-color: rgba(255, 255, 255, 0.7) !important; + --copilot-kit-primary-color: var(--color-accent) !important; + backdrop-filter: blur(20px); + -webkit-backdrop-filter: blur(20px); + border-left: 1px solid var(--color-border-glass) !important; +} + +[data-copilotkit-sidebar] .copilotkit-message { + font-family: var(--font-family); +} + +[data-copilotkit-sidebar] textarea, +[data-copilotkit-sidebar] input { + font-family: var(--font-family); + border-radius: var(--radius-lg); +} + +/* ============================================================================= + UTILITY CLASSES +============================================================================= */ + +.text-gradient { + background: linear-gradient( + 135deg, + var(--color-accent-dark), + var(--color-accent) + ); + -webkit-background-clip: text; + -webkit-text-fill-color: transparent; + background-clip: text; +} + +.border-gradient { + border: 2px solid transparent; + background: + linear-gradient(var(--color-container), var(--color-container)) padding-box, + linear-gradient(135deg, var(--color-accent), var(--color-accent-light)) + border-box; +} + +/* Empty state styling */ +.empty-state { + display: flex; + flex-direction: column; + align-items: center; + justify-content: center; + padding: var(--space-8); + color: var(--color-text-tertiary); + text-align: center; +} + +.empty-state-icon { + width: 48px; + height: 48px; + margin-bottom: var(--space-4); + opacity: 0.5; +} + +/* Error state styling for failed sources */ +.source-failed { + opacity: 0.6; +} + +.source-failed .source-indicator { + color: var(--color-error); +} + +/* ============================================================================= + ANIMATIONS - List items and transitions +============================================================================= */ + +@keyframes fadeSlideIn { + from { + opacity: 0; + transform: translateY(-8px); + } + to { + opacity: 1; + transform: translateY(0); + } +} + +.animate-fadeSlideIn { + animation: fadeSlideIn 0.3s ease-out forwards; +} + +/* Fade in animation for empty states */ +@keyframes fadeIn { + from { + opacity: 0; + } + to { + opacity: 1; + } +} + +/* Rotate animation for loading states */ +@keyframes rotate { + from { + transform: rotate(0deg); + } + to { + transform: rotate(360deg); + } +} + +/* Slow spin for in-progress tool icons */ +@keyframes spin-slow { + from { + transform: rotate(0deg); + } + to { + transform: rotate(360deg); + } +} + +.animate-spin-slow { + animation: spin-slow 3s linear infinite; +} + +/* Hover scale for interactive elements */ +.hover-scale { + transition: transform 0.2s ease; +} + +.hover-scale:hover { + transform: scale(1.02); +} diff --git a/generative_ui_agents/ai-deep-research-agent/src/app/layout.tsx b/generative_ui_agents/ai-deep-research-agent/src/app/layout.tsx new file mode 100644 index 00000000..5baf5466 --- /dev/null +++ b/generative_ui_agents/ai-deep-research-agent/src/app/layout.tsx @@ -0,0 +1,38 @@ +import type { Metadata } from "next"; + +import { CopilotKit } from "@copilotkit/react-core"; +import "./globals.css"; +import "@copilotkit/react-ui/styles.css"; + +export const metadata: Metadata = { + title: "Deep Research Assistant | CopilotKit Deep Agents Demo", + description: + "A research assistant powered by Deep Agents and CopilotKit - demonstrating planning, memory, subagents, and generative UI", + openGraph: { + title: "Deep Research Assistant", + description: "A research assistant powered by Deep Agents and CopilotKit", + images: ["/og-image.png"], + }, + twitter: { + card: "summary_large_image", + title: "Deep Research Assistant", + description: "A research assistant powered by Deep Agents and CopilotKit", + images: ["/og-image.png"], + }, +}; + +export default function RootLayout({ + children, +}: Readonly<{ + children: React.ReactNode; +}>) { + return ( + + + + {children} + + + + ); +} diff --git a/generative_ui_agents/ai-deep-research-agent/src/app/page.tsx b/generative_ui_agents/ai-deep-research-agent/src/app/page.tsx new file mode 100644 index 00000000..c45c3d61 --- /dev/null +++ b/generative_ui_agents/ai-deep-research-agent/src/app/page.tsx @@ -0,0 +1,159 @@ +"use client"; + +import { useState, useRef } from "react"; +import { CopilotChat } from "@copilotkit/react-ui"; +import { useDefaultTool } from "@copilotkit/react-core"; +import { Workspace } from "@/components/Workspace"; +import { ResearchState, INITIAL_STATE, Todo } from "@/types/research"; +import { ToolCard } from "@/components/ToolCard"; + +export default function Page() { + const [state, setState] = useState(INITIAL_STATE); + const processedKeysRef = useRef>(new Set()); + + useDefaultTool({ + render: (props) => { + const { name, status, args, result } = props; + + // Prevent duplicate processing on re-renders + if (status === "complete") { + const resultStr = result ? JSON.stringify(result) : ""; + const resultHash = resultStr + ? `${resultStr.length}-${resultStr.slice(0, 100)}` + : ""; + const key = `${name}-${JSON.stringify(args)}-${resultHash}`; + if (processedKeysRef.current.has(key)) { + return ; + } + processedKeysRef.current.add(key); + } + + // Handle research tool - track summary and sources + if (name === "research" && status === "complete" && result) { + const researchResult = result as { + summary: string; + sources: Array<{ + url: string; + title: string; + content?: string; + status: "found" | "scraped" | "failed"; + }>; + }; + + // Track sources in state + if (researchResult.sources && researchResult.sources.length > 0) { + queueMicrotask(() => + setState((prev) => ({ + ...prev, + sources: [...prev.sources, ...researchResult.sources], + })), + ); + } + + console.log( + `[UI] Research completed: ${researchResult.sources?.length || 0} sources found`, + ); + } + + // Handle write_todos tool + if (name === "write_todos" && status === "complete" && args?.todos) { + const todosWithIds = ( + args.todos as Array<{ id?: string; content: string; status: string }> + ).map((todo, index) => ({ + ...todo, + id: todo.id || `todo-${Date.now()}-${index}`, + })); + queueMicrotask(() => + setState((prev) => ({ ...prev, todos: todosWithIds as Todo[] })), + ); + } + + // Handle write_file tool + // Deep Agents uses file_path (not path) as the parameter name + if (name === "write_file" && status === "complete" && args?.file_path) { + queueMicrotask(() => + setState((prev) => ({ + ...prev, + files: [ + ...prev.files, + { + path: args.file_path as string, + content: args.content as string, + createdAt: new Date().toISOString(), + }, + ], + })), + ); + } + + return ; + }, + }); + + return ( +
+ {/* Animated background */} +
+
+
+ + {/* Main content */} +
+ {/* Chat panel - left side (38%) */} +
+
+ {/* Header */} +
+

+ Deep Research Assistant +

+

+ Ask me to research any topic +

+
+ +
+ +
+
+
+ + {/* Workspace panel - right side (62%) */} +
+ +
+
+
+ ); +} diff --git a/generative_ui_agents/ai-deep-research-agent/src/components/FileViewerModal.tsx b/generative_ui_agents/ai-deep-research-agent/src/components/FileViewerModal.tsx new file mode 100644 index 00000000..0aa95f12 --- /dev/null +++ b/generative_ui_agents/ai-deep-research-agent/src/components/FileViewerModal.tsx @@ -0,0 +1,175 @@ +"use client"; + +import { useEffect, useCallback } from "react"; +import ReactMarkdown from "react-markdown"; +import { X, Download, FileText } from "lucide-react"; +import type { ResearchFile } from "@/types/research"; + +/** + * FileViewerModal - Modal for viewing file content with markdown rendering. + * + * Features: + * - Markdown rendering via react-markdown with typography styles + * - Download button to save file content + * - Closes on backdrop click, X button, or Escape key + * - Responsive sizing with scrollable content + */ + +interface FileViewerModalProps { + file: ResearchFile | null; + onClose: () => void; +} + +export function FileViewerModal({ file, onClose }: FileViewerModalProps) { + // Handle Escape key to close modal + const handleKeyDown = useCallback( + (e: KeyboardEvent) => { + if (e.key === "Escape") { + onClose(); + } + }, + [onClose], + ); + + useEffect(() => { + if (file) { + document.addEventListener("keydown", handleKeyDown); + // Prevent body scroll when modal is open + document.body.style.overflow = "hidden"; + } + return () => { + document.removeEventListener("keydown", handleKeyDown); + document.body.style.overflow = ""; + }; + }, [file, handleKeyDown]); + + // Don't render if no file selected + if (!file) return null; + + // Extract filename from path + const filename = file.path.split("/").pop() || file.path; + + // Download file content + const handleDownload = () => { + const blob = new Blob([file.content], { type: "text/markdown" }); + const url = URL.createObjectURL(blob); + const a = document.createElement("a"); + a.href = url; + a.download = filename; + document.body.appendChild(a); + a.click(); + document.body.removeChild(a); + URL.revokeObjectURL(url); + }; + + return ( +
+ {/* Backdrop with blur */} + + ); +} diff --git a/generative_ui_agents/ai-deep-research-agent/src/components/ToolCard.tsx b/generative_ui_agents/ai-deep-research-agent/src/components/ToolCard.tsx new file mode 100644 index 00000000..e774f8dd --- /dev/null +++ b/generative_ui_agents/ai-deep-research-agent/src/components/ToolCard.tsx @@ -0,0 +1,435 @@ +"use client"; + +import { useState } from "react"; +import { + ChevronDown, + Pencil, + ClipboardList, + Search, + Save, + BookOpen, + Check, +} from "lucide-react"; + +/** + * ToolCard - Generative UI for tool call rendering in chat. + * + * Two rendering modes: + * - SpecializedToolCard: Emoji-based cards for known tools with result previews + * - DefaultToolCard: Generic JSON display for unknown tools + * + * Result structures expected from backend: + * - internet_search: Array<{url, title, content, raw_content}> + * - write_todos: { todos: Array<{id, content, status}> } + * - write_file: just args (path, content) - result is confirmation + * - task: completion message + */ + +interface ToolCardProps { + name: string; + status: "inProgress" | "executing" | "complete"; + args: Record; + result?: unknown; +} + +// Tool configuration mapping +const TOOL_CONFIG: Record< + string, + { + icon: React.ComponentType<{ + size?: number; + strokeWidth?: number; + className?: string; + style?: React.CSSProperties; + }>; + getDisplayText: (args: Record) => string; + getResultSummary?: ( + result: unknown, + args: Record, + ) => string | null; + } +> = { + write_todos: { + icon: Pencil, + getDisplayText: () => "Updating research plan...", + // Args contains the todos array (result is a Command with ToolMessage string) + getResultSummary: (result, args) => { + const todos = (args as { todos?: unknown[] })?.todos; + if (Array.isArray(todos)) { + return `${todos.length} todo${todos.length !== 1 ? "s" : ""} updated`; + } + return null; + }, + }, + read_todos: { + icon: ClipboardList, + getDisplayText: () => "Checking research plan...", + getResultSummary: (result) => { + const todos = (result as { todos?: unknown[] })?.todos; + if (Array.isArray(todos)) { + return `${todos.length} todo${todos.length !== 1 ? "s" : ""} found`; + } + return null; + }, + }, + research: { + icon: Search, + getDisplayText: (args) => + `Researching: ${((args.query as string) || "...").slice(0, 50)}${(args.query as string)?.length > 50 ? "..." : ""}`, + // Result is now a dict with summary and sources + getResultSummary: (result) => { + if (result && typeof result === "object" && "sources" in result) { + const { sources } = result as { summary: string; sources: unknown[] }; + return `Found ${sources.length} source${sources.length !== 1 ? "s" : ""}`; + } + return "Research complete"; + }, + }, + write_file: { + icon: Save, + getDisplayText: (args) => { + const path = args.path as string | undefined; + const filename = + path?.split("/").pop() || (args.filename as string | undefined); + return `Writing: ${filename || "file"}`; + }, + // Show first line preview from args (content is in args, not result) + getResultSummary: (_result, args) => { + const content = args.content as string | undefined; + if (content) { + const firstLine = content.split("\n")[0].slice(0, 50); + return firstLine + (content.length > 50 ? "..." : ""); + } + return "File written"; + }, + }, + read_file: { + icon: BookOpen, + getDisplayText: (args) => { + const path = args.path as string | undefined; + const filename = + path?.split("/").pop() || (args.filename as string | undefined); + return `Reading: ${filename || "file"}`; + }, + getResultSummary: (result) => { + const content = (result as { content?: string })?.content; + if (content && typeof content === "string") { + const preview = content.slice(0, 50); + return preview + (content.length > 50 ? "..." : ""); + } + return null; + }, + }, +}; + +export function ToolCard({ name, status, args, result }: ToolCardProps) { + const config = TOOL_CONFIG[name]; + + if (config) { + return ( + + ); + } + + return ( + + ); +} + +interface SpecializedToolCardProps extends ToolCardProps { + config: { + icon: React.ComponentType<{ + size?: number; + strokeWidth?: number; + className?: string; + style?: React.CSSProperties; + }>; + getDisplayText: (args: Record) => string; + getResultSummary?: ( + result: unknown, + args: Record, + ) => string | null; + }; +} + +function SpecializedToolCard({ + name, + status, + args, + result, + config, +}: SpecializedToolCardProps) { + const [expanded, setExpanded] = useState(false); + const isComplete = status === "complete"; + const isExecuting = status === "inProgress" || status === "executing"; + + // Get result summary for completed tools + const resultSummary = + isComplete && config.getResultSummary + ? config.getResultSummary(result, args) + : null; + + // Determine if this tool has expandable content + const hasExpandableContent = + isComplete && (name === "research" || name === "write_todos"); + + return ( +
setExpanded(!expanded) : undefined} + > +
+
+ {isComplete ? ( + + ) : ( + + )} +
+
+

+ {config.getDisplayText(args)} +

+ {/* Result summary shown below the display text when complete */} + {resultSummary && ( +

+ {resultSummary} +

+ )} +
+ {/* Expand indicator for expandable tools */} + {hasExpandableContent && ( + + )} +
+ + {/* Expanded details section */} + {expanded && isComplete && ( +
+ +
+ )} +
+ ); +} + +/** + * Renders expanded details based on tool type. + * Each tool has its own structured view of the result. + */ +function ExpandedDetails({ + name, + result, + args, +}: { + name: string; + result: unknown; + args: Record; +}) { + // research: show the full prose summary + if (name === "research") { + // Extract summary from object or use string directly + const summary = + typeof result === "object" && result && "summary" in result + ? (result as { summary: string; sources: unknown[] }).summary + : typeof result === "string" + ? result + : ""; + if (!summary) + return ( +

No findings

+ ); + return ( +
+

+ Query: +

+

+ {(args.query as string) || "..."} +

+

+ Findings: +

+

+ {summary} +

+
+ ); + } + + // write_todos: show todo list (from args, not result) + if (name === "write_todos") { + const todos = ( + args as { todos?: Array<{ id: string; content: string; status: string }> } + )?.todos; + if (!todos?.length) + return ( +

No todos

+ ); + return ( +
+ {todos.map((todo, i) => ( +
+ + {todo.status === "completed" + ? "✓" + : todo.status === "in_progress" + ? "●" + : "○"} + + + {todo.content} + +
+ ))} +
+ ); + } + + // Fallback: JSON display + return ( +
+      {typeof result === "string" ? result : JSON.stringify(result, null, 2)}
+    
+ ); +} + +function DefaultToolCard({ name, status, args, result }: ToolCardProps) { + const [expanded, setExpanded] = useState(false); + const isComplete = status === "complete"; + + return ( +
+
+
+
+ {isComplete ? "✓" : "⚙️"} +
+
+ + {name} + + + {status} + +
+
+ +
+ {expanded && ( +
+
+

+ Arguments: +

+
+              {JSON.stringify(args, null, 2)}
+            
+
+ {result !== undefined && result !== null && ( +
+

+ Result: +

+
+                {typeof result === "string"
+                  ? result
+                  : JSON.stringify(result, null, 2)}
+              
+
+ )} +
+ )} +
+ ); +} diff --git a/generative_ui_agents/ai-deep-research-agent/src/components/Workspace.tsx b/generative_ui_agents/ai-deep-research-agent/src/components/Workspace.tsx new file mode 100644 index 00000000..d6b3157b --- /dev/null +++ b/generative_ui_agents/ai-deep-research-agent/src/components/Workspace.tsx @@ -0,0 +1,350 @@ +"use client"; + +import { useState } from "react"; +import { + ChevronDown, + ChevronRight, + ListTodo, + FileText, + Download, + Globe, + Check, + Circle, + CircleDot, + X, +} from "lucide-react"; +import { ResearchState, Todo, ResearchFile, Source } from "@/types/research"; +import { FileViewerModal } from "@/components/FileViewerModal"; + +// Helper function to download file content +function downloadFile(file: ResearchFile) { + const blob = new Blob([file.content], { type: "text/plain" }); + const url = URL.createObjectURL(blob); + const a = document.createElement("a"); + a.href = url; + a.download = file.path.split("/").pop() || "file.txt"; + document.body.appendChild(a); + a.click(); + document.body.removeChild(a); + URL.revokeObjectURL(url); +} + +interface WorkspaceProps { + state: ResearchState; +} + +// Collapsible section component with smooth transitions +function Section({ + title, + icon: Icon, + children, + defaultOpen = true, + badge, +}: { + title: string; + icon: React.ElementType; + children: React.ReactNode; + defaultOpen?: boolean; + badge?: number; +}) { + const [isOpen, setIsOpen] = useState(defaultOpen); + + return ( +
+ + {isOpen &&
{children}
} +
+ ); +} + +// Todo list component with animations +function TodoList({ todos }: { todos: Todo[] }) { + if (todos.length === 0) { + return ( +
+ +

No tasks yet

+

Research tasks will appear here

+
+ ); + } + + return ( +
+ {todos.map((todo) => ( +
+ + {todo.status === "completed" ? ( + + ) : todo.status === "in_progress" ? ( + + ) : ( + + )} + + {todo.content} +
+ ))} +
+ ); +} + +// File list component with click-to-view and animations +function FileList({ + files, + onFileClick, +}: { + files: ResearchFile[]; + onFileClick: (file: ResearchFile) => void; +}) { + if (files.length === 0) { + return ( +
+ +

No files yet

+

Research artifacts will appear here

+
+ ); + } + + return ( +
+ {files.map((file, i) => ( +
onFileClick(file)} + > +
+
+ +
+
+

+ {file.path.split("/").pop()} +

+

+ {file.path} +

+
+
+ +
+ ))} +
+ ); +} + +// Source list component with error states and animations +function SourceList({ sources }: { sources: Source[] }) { + if (sources.length === 0) { + return ( +
+ +

No sources yet

+

Web sources will appear here

+
+ ); + } + + return ( +
+ {sources.map((source, i) => ( +
+
+ + {source.status === "scraped" ? ( + + ) : source.status === "failed" ? ( + + ) : ( + + )} + +
+

+ {source.title || + (() => { + try { + return new URL(source.url).hostname; + } catch { + return source.url.slice(0, 40); + } + })()} +

+ + {source.url} + +
+
+
+ ))} +
+ ); +} + +// Main Workspace component +export function Workspace({ state }: WorkspaceProps) { + const { todos, files, sources } = state; + const fileCount = files.length; + const todoCount = todos.length; + const sourceCount = sources.length; + + // State for file viewer modal + const [selectedFile, setSelectedFile] = useState(null); + + return ( +
+
+

+ Workspace +

+

+ Research progress and artifacts +

+
+ +
+ +
+ +
+ +
+ +
+ +
+ + {/* File Viewer Modal */} + setSelectedFile(null)} + /> +
+ ); +} diff --git a/generative_ui_agents/ai-deep-research-agent/src/types/research.ts b/generative_ui_agents/ai-deep-research-agent/src/types/research.ts new file mode 100644 index 00000000..6485455d --- /dev/null +++ b/generative_ui_agents/ai-deep-research-agent/src/types/research.ts @@ -0,0 +1,39 @@ +/** + * Research State Types + * + * Types for managing research state in the Deep Research Assistant. + * Uses local state + useDefaultTool pattern instead of useCoAgent + * to avoid type mismatches with Python FilesystemMiddleware. + */ + +export interface Todo { + id: string; + content: string; + status: "pending" | "in_progress" | "completed"; +} + +export interface ResearchFile { + path: string; + content: string; + createdAt: string; +} + +// Sources found via internet_search (includes content) +export interface Source { + url: string; + title: string; + content?: string; + status: "found" | "scraped" | "failed"; +} + +export interface ResearchState { + todos: Todo[]; + files: ResearchFile[]; + sources: Source[]; +} + +export const INITIAL_STATE: ResearchState = { + todos: [], + files: [], + sources: [], +}; diff --git a/generative_ui_agents/ai-deep-research-agent/tsconfig.json b/generative_ui_agents/ai-deep-research-agent/tsconfig.json new file mode 100644 index 00000000..cf9c65d3 --- /dev/null +++ b/generative_ui_agents/ai-deep-research-agent/tsconfig.json @@ -0,0 +1,34 @@ +{ + "compilerOptions": { + "target": "ES2017", + "lib": ["dom", "dom.iterable", "esnext"], + "allowJs": true, + "skipLibCheck": true, + "strict": true, + "noEmit": true, + "esModuleInterop": true, + "module": "esnext", + "moduleResolution": "bundler", + "resolveJsonModule": true, + "isolatedModules": true, + "jsx": "react-jsx", + "incremental": true, + "plugins": [ + { + "name": "next" + } + ], + "paths": { + "@/*": ["./src/*"] + } + }, + "include": [ + "next-env.d.ts", + "**/*.ts", + "**/*.tsx", + ".next/types/**/*.ts", + ".next/dev/types/**/*.ts", + "**/*.mts" + ], + "exclude": ["node_modules"] +}