copilotkit--copilotkit
wehub-resource-sync
134 行
3.8 KiB
Markdown
134 行
3.8 KiB
Markdown
# Job Application Assistant
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A Job assistant built with [CopilotKit](http://copilotkit.ai/) (Next.js) on the frontend and [DeepAgents](https://github.com/langchain-ai/deepagents) (by LangChain) on the backend. Users upload their resume (PDF), the system extracts skills and context and DeepAgents orchestrate sub-agents & tools to search the web (via Tavily) for relevant job postings. Results stream back to the UI in real time and are rendered alongside the chat.
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DeepAgents provides clean orchestration with sub-agents and tools, while CopilotKit (AG‑UI) handles real-time streaming and stateful UI updates. Refer to the [official integration docs](https://docs.copilotkit.ai/integrations/langgraph/deep-agents).
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**What This Demo Shows:**
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- Resume upload + PDF parsing
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- Skill extraction from real resumes
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- DeepAgents orchestration with sub-agents and tools
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- Internet search via Tavily
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- Tool calls streamed to the UI using AG-UI
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Here is the high-level flow:
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```
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[User uploads resume & submits job query]
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↓
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Next.js UI (ResumeUpload + CopilotChat)
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↓
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useCopilotReadable syncs resume + preferences
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↓
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POST /api/copilotkit (AG-UI protocol)
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↓
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FastAPI + DeepAgents (/copilotkit endpoint)
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↓
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Resume context + skills injected into agent
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↓
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DeepAgents orchestration
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├─ internet_search (Tavily)
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├─ job filtering & normalization
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└─ update_jobs_list (tool call)
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↓
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AG-UI streaming (SSE)
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↓
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CopilotKit runtime receives tool result
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↓
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Frontend captures tool output
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↓
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Jobs rendered in table + chat stay clean
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```
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## Project Structure
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```
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.
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├── src/ ← Next.js frontend
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│ ├── app/
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│ │ ├── page.tsx
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│ │ ├── layout.tsx ← CopilotKit provider
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│ │ └── api/
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│ │ ├── upload-resume/route.ts ← upload endpoint
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│ │ └── copilotkit/route.ts ← CopilotKit AG-UI runtime
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│ ├── components/
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│ │ ├── ChatPanel.tsx ← Chat + tool capture
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│ │ ├── ResumeUpload.tsx ← PDF upload UI
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│ │ ├── JobsResults.tsx ← Jobs table renderer
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│ │ └── LivePreviewPanel.tsx
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│ └── lib/
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│ ├── jobsParser.ts ← Normalization helpers
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│ └── types.ts ← Shared frontend types
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│
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├── agent/ ← DeepAgents backend
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│ ├── main.py ← FastAPI + AG-UI endpoint
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│ ├── agent.py ← DeepAgents graph & tools
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│ ├── pyproject.toml ← Python deps (uv)
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│ └── uv.lock
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│
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├── package.json
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├── next.config.ts
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└── README.md
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```
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## Environment Variables
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You will need an [OpenAI API Key](https://platform.openai.com/settings/organization/api-keys) and [Tavily API Key](https://app.tavily.com/home).
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Create the `agent/.env` and set your keys:
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```dotenv
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OPENAI_API_KEY=sk-proj-...
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TAVILY_API_KEY=tvly-dev-...
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OPENAI_MODEL=gpt-4-turbo
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```
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## Setup & Installation
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### 1. Installation
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Frontend (Next.js):
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```bash
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npm install
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# or
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yarn install
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```
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Backend (Python, uv)
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```bash
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cd agent
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uv add
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uv sync
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```
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The backend uses [uv](https://github.com/astral-sh/uv) for dependency management. Install it if it's not already in your system: `pip install uv`.
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### 2. Running locally
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Start the backend:
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```bash
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cd agent
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uv run python main.py
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```
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Backend runs on `http://localhost:8123`.
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Start the frontend (in a new terminal):
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```bash
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npm run dev
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# or
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yarn dev
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```
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Navigate to [http://localhost:3000](http://localhost:3000) in your browser.
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## License
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This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for details.
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