diff --git a/.env.example b/.env.example deleted file mode 100644 index 02b3797..0000000 --- a/.env.example +++ /dev/null @@ -1 +0,0 @@ -OPENAI_API_KEY="openai_api_key" \ No newline at end of file diff --git a/.vscode/settings.json b/.vscode/settings.json new file mode 100644 index 0000000..7e68766 --- /dev/null +++ b/.vscode/settings.json @@ -0,0 +1,3 @@ +{ + "python-envs.pythonProjects": [] +} \ No newline at end of file diff --git a/README.md b/README.md deleted file mode 100644 index 7d90707..0000000 --- a/README.md +++ /dev/null @@ -1,362 +0,0 @@ -# Python Agentic AI Chatbot - -**A starter template for building agentic AI applications with multi-step reasoning, tool calling, and RAG capabilities.** - ---- - -## 📋 Table of Contents - -1. [Overview](#overview) -2. [Architecture](#architecture) -3. [Key Features](#key-features) -4. [Project Structure](#project-structure) -5. [Technology Stack](#technology-stack) -6. [Getting Started](#getting-started) -7. [Configuration](#configuration) -8. [Architecture Decisions](#architecture-decisions) -9. [Extending the Project](#extending-the-project) -10. [License](#license) - ---- - -## Overview - -This project is a **modular, extensible framework** for building agentic AI applications in Python. It follows industry best practices inspired by frameworks like Microsoft Semantic Kernel, LangChain, and LlamaIndex. - -### Core Capabilities - -- **Agentic Reasoning**: Multi-step task planning and execution -- **Tool Calling**: Automatic tool invocation based on agent decisions -- **RAG (Retrieval-Augmented Generation)**: Semantic search over documents -- **Flexible LLM Integration**: Support for OpenAI, GitHub Models, Gemini -- **Streaming API**: Real-time responses via FastAPI -- **Chat UI**: React frontend with WebSocket support - ---- - -## Architecture - -### System Architecture Diagram - -``` -User (React Frontend) - ↓ -API Gateway (FastAPI) - ↓ -Orchestrator (Task Router) - ↓ -Agent (Reasoning Engine) - ↓ -Tool Manager (Search, Math, FileReader, MCP) - ↓ -Memory Layer (Vector DB, RAG) - ↓ -LLM Provider (OpenAI / GitHub / Gemini) - ↓ -Response Stream → React UI -``` - -### Component Overview - -| Component | Purpose | Technologies | -|-----------|---------|--------------| -| **Frontend** | User interaction & chat UI | React, TypeScript | -| **API** | HTTP/WebSocket server | FastAPI, Uvicorn | -| **Agent** | Decision making & planning | Python async, reasoning logic | -| **Tools** | Extensible capabilities | Search, Math, File I/O, MCP | -| **Memory** | Context & semantic search | ChromaDB, Vector embeddings | -| **LLM** | Language model calls | OpenAI, GitHub Models, Gemini | - ---- - -## Key Features - -✅ **Ask anything** - Natural language queries with full context -✅ **Multi-step reasoning** - Agent plans and executes complex tasks -✅ **Tool calling** - Automatic tool selection and invocation -✅ **Search capabilities** - Web search, document search, code search -✅ **RAG integration** - Semantic search over your documents -✅ **Streaming responses** - Real-time output via WebSocket -✅ **Modular design** - Easy to add new tools, providers, memory backends -✅ **Production-ready** - Docker support, structured logging, error handling - ---- - -## Project Structure - -``` -ntg-python-agent/ -│ -├── src/ -│ ├── agent/ -│ │ ├── __init__.py -│ │ ├── runner.py # Agent loop -│ │ ├── planner.py # Reasoning / planning -│ │ └── context.py # Agent state -│ │ -│ ├── llm/ -│ │ ├── __init__.py -│ │ ├── provider.py # OpenAI / GitHub / Gemini wrapper -│ │ └── models.py -│ │ -│ ├── tools/ -│ │ ├── __init__.py -│ │ ├── search.py -│ │ ├── math.py -│ │ └── tool_registry.py -│ │ -│ ├── memory/ -│ │ ├── __init__.py -│ │ ├── vector_store.py -│ │ └── embedder.py -| | -│ └── server/ -│ ├── main.py # FastAPI application -│ └── routers/ # API endpoints (future) -│ -├── tests/ # Unit & integration tests -├── pyproject.toml # Python project configuration -├── .env # Environment variables -├── .gitignore -├── LICENSE -└── README.md - -``` - ---- - -## Technology Stack - -| Layer | Technology | Version | -|-------|-----------|---------| -| **Runtime** | Python | 3.12+ | -| **API Framework** | FastAPI | Latest | -| **Async** | asyncio | Built-in | -| **LLM Integration** | OpenAI SDK | Latest | -| **Environment** | python-dotenv | Latest | -| **Frontend** | React | 18+ | -| **Containerization** | Docker | Latest | - ---- - -## Getting Started - -### Prerequisites - -- **Python 3.12 or higher** (required by project configuration) -- pip, uv package manager -- API keys for LLM providers (OpenAI, etc.) -- Optional: Docker for containerized deployment - -### Installation - -#### Option 1: Standard pip installation - -1. **Clone the repository** - ```bash - git clone https://github.com/nashtech-garage/ntg-python-agent.git - cd ntg-python-agent - ``` - -2. **Create virtual environment** - ```bash - python -m venv .venv - source .venv/bin/activate # on Linux/macOS - .venv\Scripts\activate # On Windows - ``` - -3. **Install pre-commit in venv** - ```bash - python -m pip install pre-commit - pre-commit --version # Check version - ``` - -4. **Install base dependencies** - ```bash - pip install -e . - ``` - - This installs: - - `openai>=1.60.0` - OpenAI API client - - `fastapi>=0.115.0` - Web framework - - `uvicorn>=0.30.0` - ASGI server - - `httpx>=0.27.0` - HTTP client - - `python-dotenv>=1.0.1` - Environment variables - - `pydantic>=2.7.0` - Data validation - -5. **Install optional dependencies (as needed)** - - **For RAG/Memory features:** - ```bash - pip install -e ".[rag]" - ``` - Includes: `faiss-cpu`, `sentence-transformers`, `chromadb` - - **For development:** - ```bash - pip install -e ".[dev]" - ``` - Includes: `pre-commit`, `ruff`, `pytest` - -6. **Configure environment variables**: Copy and paste all from .env.example to .env file - -7. **Run the server** - ```bash - uvicorn src.server.main:app --reload - ``` - Server runs at: `http://localhost:8000` - -#### Option 2: Using uv (faster, recommended) - -```bash -# Install uv (one-time) -curl -LsSf https://astral.sh/uv/install.sh | sh - -# Clone and setup -git clone https://github.com/nashtech-garage/ntg-python-agent.git -cd ntg-python-agent - -# Sync dependencies -uv sync --all-groups - -# Run -uv run uvicorn src.server.main:app --reload -``` - ---- - -## Configuration - -### Environment Variables - -Create a `.env` file in the project root with the following variables: - -```dotenv -# Required: your OpenAI API key -OPENAI_API_KEY=sk-proj-xxx -``` - -### How to obtain an OpenAI API key - -Follow these steps to create and obtain an OpenAI API key (secret): - -1. Create an account or sign in at the OpenAI platform: - - https://platform.openai.com/signup (or https://platform.openai.com/login) -2. Verify your email address and finish any required account setup. -3. Open the API keys page: - - https://platform.openai.com/account/api-keys -4. Click **Create new secret key** (or similar). Copy the generated key immediately — you won't be able to see it again in full. -5. Paste the copied key into your project's `.env` file as the value of `OPENAI_API_KEY`. - -### Dependency Groups - -The project defines dependencies in `pyproject.toml`: - -**Core Dependencies** (always installed): -- `openai>=1.60.0` - OpenAI API client for LLM calls -- `fastapi>=0.115.0` - Modern web framework with async support -- `uvicorn>=0.30.0` - ASGI web server -- `httpx>=0.27.0` - Async HTTP client -- `python-dotenv>=1.0.1` - Load environment variables from `.env` -- `pydantic>=2.7.0` - Data validation and settings management - -**Optional: RAG Group** - For retrieval-augmented generation: -```bash -pip install -e ".[rag]" -``` -- `faiss-cpu>=1.8.0` - Vector search library -- `sentence-transformers>=3.0.0` - Embedding models -- `chromadb>=0.5.0` - Vector database - -**Optional: Dev Group** - For development and testing: -```bash -pip install -e ".[dev]" -``` -- `pre-commit>=4.5.0` - Git hooks framework -- `ruff>=0.14.8` - Python linter and formatter -- `pytest>=8.3.0` - Testing framework - -### Project Metadata - -- **Name**: ntg-python-agent -- **Version**: 0.1.0 -- **Python Version**: >=3.12 (required) -- **License**: MIT -- **Repository**: github.com/nashtech-garage/ntg-python-agent - ---- - -## Architecture Decisions - -This section documents key architectural decisions made in this project. - -### ADR-001: Modular LLM Provider System - -**Status**: Accepted - -**Context**: Supporting multiple LLM providers (OpenAI, GitHub Models, Gemini) requires flexibility. - -**Decision**: Implement provider abstraction layer with pluggable implementations. - -**Rationale**: -- Reduces vendor lock-in -- Allows easy switching between providers -- Supports cost optimization (choose cheapest provider per task) -- Enables A/B testing different models - -**Consequences**: -- ✅ Easy to add new providers -- ✅ Consistent interface across providers -- ⚠️ Need to handle provider-specific features gracefully - -**Implementation**: `/src/agent/llm.py` - Base class for all LLM providers - ---- - -### ADR-002: Async-First Architecture - -**Status**: Accepted - -**Context**: Agent operations are I/O bound (API calls, DB queries, tool invocations). - -**Decision**: Use Python asyncio throughout the codebase. - -**Rationale**: -- Better resource utilization (non-blocking I/O) -- Natural fit for FastAPI -- Handles concurrent requests efficiently -- Enables real-time streaming responses - -**Consequences**: -- ✅ High concurrency support -- ✅ Responsive APIs -- ⚠️ Requires careful handling of blocking operations - -**Implementation**: All agent methods are `async def`, FastAPI handles async endpoints - ---- - -### ADR-003: Vector DB for Memory & RAG - -**Status**: Planned - -**Context**: Need efficient semantic search over documents for context retrieval. - -**Decision**: Use ChromaDB as primary vector database with embedding service. - -**Rationale**: -- Lightweight, in-process option for development -- Production options available (Pinecone, Weaviate, Milvus) -- Fast approximate nearest neighbor search -- Supports metadata filtering - -**Consequences**: -- ✅ Fast semantic search -- ✅ Flexible storage options -- ⚠️ Requires embedding model selection - ---- - -## 📄 License - -MIT License diff --git a/backend/.env.example b/backend/.env.example new file mode 100644 index 0000000..4b8a8e6 --- /dev/null +++ b/backend/.env.example @@ -0,0 +1,2 @@ +LLM_BASE_URL=http://localhost:11434 +LLM_MODEL=llama3.1 \ No newline at end of file diff --git a/.gitignore b/backend/.gitignore similarity index 100% rename from .gitignore rename to backend/.gitignore diff --git a/.pre-commit-config.yaml b/backend/.pre-commit-config.yaml similarity index 100% rename from .pre-commit-config.yaml rename to backend/.pre-commit-config.yaml diff --git a/LICENSE b/backend/LICENSE similarity index 100% rename from LICENSE rename to backend/LICENSE diff --git a/backend/README.md b/backend/README.md new file mode 100644 index 0000000..6156b23 --- /dev/null +++ b/backend/README.md @@ -0,0 +1,188 @@ +# Python Agentic AI Chatbot + +**A starter template for building agentic AI applications with multi-step reasoning, tool calling, and RAG capabilities.** + +--- + +## 📋 Table of Contents + +1. [Overview](#overview) +2. [Architecture](#architecture) +3. [Key Features](#key-features) +4. [Project Structure](#project-structure) +5. [Technology Stack](#technology-stack) +6. [Getting Started](#getting-started) +7. [Configuration](#configuration) +8. [Architecture Decisions](#architecture-decisions) +9. [Extending the Project](#extending-the-project) +10. [License](#license) + +--- + +## Overview + +This project is a **modular, extensible framework** for building agentic AI applications in Python. It follows industry best practices inspired by frameworks like Microsoft Semantic Kernel, LangChain, and LlamaIndex. + +### Core Capabilities + +- **Agentic Reasoning**: Multi-step task planning and execution +- **Tool Calling**: Automatic tool invocation based on agent decisions +- **RAG (Retrieval-Augmented Generation)**: Semantic search over documents +- **Flexible LLM Integration**: Support for OpenAI, GitHub Models, Gemini +- **Streaming API**: Real-time responses via FastAPI +- **Chat UI**: React frontend with WebSocket support + +--- + +## Architecture + +### System Architecture Diagram + +``` +User (React Frontend) + ↓ +API Gateway (FastAPI) + ↓ +Orchestrator (Task Router) + ↓ +Agent (Reasoning Engine) + ↓ +Tool Manager (Search, Math, FileReader, MCP) + ↓ +Memory Layer (Vector DB, RAG) + ↓ +LLM Provider (OpenAI / GitHub / Gemini) + ↓ +Response Stream → React UI +``` + +### Component Overview + +| Component | Purpose | Technologies | +|-----------|---------|--------------| +| **Frontend** | User interaction & chat UI | React, TypeScript | +| **API** | HTTP/WebSocket server | FastAPI, Uvicorn | +| **Agent** | Decision making & planning | Python async, reasoning logic | +| **Tools** | Extensible capabilities | Search, Math, File I/O, MCP | +| **Memory** | Context & semantic search | ChromaDB, Vector embeddings | +| **LLM** | Language model calls | OpenAI, GitHub Models, Gemini | + +--- + +## Key Features + +✅ **Ask anything** - Natural language queries with full context +✅ **Multi-step reasoning** - Agent plans and executes complex tasks +✅ **Tool calling** - Automatic tool selection and invocation +✅ **Search capabilities** - Web search, document search, code search +✅ **RAG integration** - Semantic search over your documents +✅ **Streaming responses** - Real-time output via WebSocket +✅ **Modular design** - Easy to add new tools, providers, memory backends +✅ **Production-ready** - Docker support, structured logging, error handling + +--- + +## Project Structure + +``` +ntg-python-agent/ +│ +├── src/ +│ ├── agent/ +│ │ ├── __init__.py +│ │ ├── runner.py # Agent loop +│ │ ├── planner.py # Reasoning / planning +│ │ └── context.py # Agent state +│ │ +│ ├── llm/ +│ │ ├── __init__.py +│ │ ├── provider.py # OpenAI / GitHub / Gemini wrapper +│ │ └── models.py +│ │ +│ ├── tools/ +│ │ ├── __init__.py +│ │ ├── search.py +│ │ ├── math.py +│ │ └── tool_registry.py +│ │ +│ ├── memory/ +│ │ ├── __init__.py +│ │ ├── vector_store.py +│ │ └── memory.py +│ └── main.py +├── tests/ # Unit & integration tests +├── pyproject.toml # Python project configuration +├── .env # Environment variables +├── .gitignore +├── LICENSE +└── README.md + +``` + +--- + +## Technology Stack + +| Layer | Technology | Version | +|-------|-----------|---------| +| **Runtime** | Python | 3.12+ | +| **API Framework** | FastAPI | Latest | +| **Async** | asyncio | Built-in | +| **LLM Integration** | OpenAI SDK | Latest | +| **Environment** | python-dotenv | Latest | +| **Frontend** | React | 18+ | +| **Containerization** | Docker | Latest | + +--- + +## Getting Started + +### Prerequisites + +- **Python 3.12 or higher** (required by project configuration) +- pip, uv package manager +- API keys for LLM providers (OpenAI, etc.) +- Optional: Docker for containerized deployment + +### Installation + +#### Option 1: Standard pip installation + +#### Option 2: Install Ollama 3.1 (for local LLM inference) + +Ollama is required if you want to run LLMs locally (e.g., Llama 3, CodeLlama, etc.). + +**Install Ollama 3.1 on Linux:** + +1. **Download and install Ollama:** + ```bash + curl -fsSL https://ollama.com/install.sh | sh + ``` + This will install the latest version. To install a specific version (e.g., 3.1), see [Ollama releases](https://github.com/ollama/ollama/releases) and download the appropriate binary. + +2. **Start the Ollama service:** + ```bash + ollama serve & + ``` + +3. **Verify installation:** + ```bash + ollama --version + ollama list + ``` + +4. **Pull a model (e.g., Llama 3):** + ```bash + ollama pull llama3 + # Or for CodeLlama: + ollama pull codellama + ``` + +5. **Test the model:** + ```bash + ollama run llama3 + ``` + +**Note:** +- Ollama runs a local server at `http://localhost:11434` by default. +- For more details, see the [Ollama documentation](https://ollama.com/docs/). diff --git a/backend/docs/adr/001-modular-llm-provider.md b/backend/docs/adr/001-modular-llm-provider.md new file mode 100644 index 0000000..c8c67f0 --- /dev/null +++ b/backend/docs/adr/001-modular-llm-provider.md @@ -0,0 +1,20 @@ +### ADR-001: Modular LLM Provider System + +**Status**: Accepted + +**Context**: Supporting multiple LLM providers (OpenAI, GitHub Models, Gemini) requires flexibility. + +**Decision**: Implement provider abstraction layer with pluggable implementations. + +**Rationale**: +- Reduces vendor lock-in +- Allows easy switching between providers +- Supports cost optimization (choose cheapest provider per task) +- Enables A/B testing different models + +**Consequences**: +- ✅ Easy to add new providers +- ✅ Consistent interface across providers +- ⚠️ Need to handle provider-specific features gracefully + +**Implementation**: `/src/agent/llm.py` - Base class for all LLM providers \ No newline at end of file diff --git a/backend/docs/adr/002-async-first-architecture.md b/backend/docs/adr/002-async-first-architecture.md new file mode 100644 index 0000000..8fd0c66 --- /dev/null +++ b/backend/docs/adr/002-async-first-architecture.md @@ -0,0 +1,20 @@ +### ADR-002: Async-First Architecture + +**Status**: Accepted + +**Context**: Agent operations are I/O bound (API calls, DB queries, tool invocations). + +**Decision**: Use Python asyncio throughout the codebase. + +**Rationale**: +- Better resource utilization (non-blocking I/O) +- Natural fit for FastAPI +- Handles concurrent requests efficiently +- Enables real-time streaming responses + +**Consequences**: +- ✅ High concurrency support +- ✅ Responsive APIs +- ⚠️ Requires careful handling of blocking operations + +**Implementation**: All agent methods are `async def`, FastAPI handles async endpoints \ No newline at end of file diff --git a/backend/docs/adr/003-vector-db-for-rag.md b/backend/docs/adr/003-vector-db-for-rag.md new file mode 100644 index 0000000..320a2dd --- /dev/null +++ b/backend/docs/adr/003-vector-db-for-rag.md @@ -0,0 +1,18 @@ +### ADR-003: Vector DB for Memory & RAG + +**Status**: Planned + +**Context**: Need efficient semantic search over documents for context retrieval. + +**Decision**: Use ChromaDB as primary vector database with embedding service. + +**Rationale**: +- Lightweight, in-process option for development +- Production options available (Pinecone, Weaviate, Milvus) +- Fast approximate nearest neighbor search +- Supports metadata filtering + +**Consequences**: +- ✅ Fast semantic search +- ✅ Flexible storage options +- ⚠️ Requires embedding model selection diff --git a/pyproject.toml b/backend/pyproject.toml similarity index 100% rename from pyproject.toml rename to backend/pyproject.toml diff --git a/src/__init__.py b/backend/src/__init__.py similarity index 100% rename from src/__init__.py rename to backend/src/__init__.py diff --git a/src/agent/planner.py b/backend/src/agent/planner.py similarity index 100% rename from src/agent/planner.py rename to backend/src/agent/planner.py diff --git a/src/agent/runner.py b/backend/src/agent/runner.py similarity index 64% rename from src/agent/runner.py rename to backend/src/agent/runner.py index f9d4a53..8d5bd7a 100644 --- a/src/agent/runner.py +++ b/backend/src/agent/runner.py @@ -2,6 +2,9 @@ from agent.planner import Planner from tools.registry import ToolRegistry from memory.memory import ConversationMemory +import re + +FLUSH_RE = re.compile(r"[ \n]|[.,!?;:]$") class AgentRunner: @@ -55,3 +58,47 @@ def run(self, user_input: str): resp = self.llm.chat(user_input, memory=self.memory.last_n()) self.memory.add_assistant(resp) return {"type": "llm_response", "output": resp} + + def normalize_after_punct(self, prev: str, chunk: str) -> str: + if not prev: + return chunk + + if prev[-1] in ".!?": + if not chunk.startswith((" ", "\n")): + return " " + chunk + + return chunk + + def run_stream(self, user_input: str): + # 1. Add user message + self.memory.add_user(user_input) + + # 2. Plan (not stream) + plan = self.planner.plan(user_input, memory=self.memory.last_n()) + if plan.get("type") != "llm": + yield "[Unsupported streaming for tool]" + return + + buffer = "" + full_text = "" + + # 3. Stream from LLM + for chunk in self.llm.chat_stream( + user_input, + memory=self.memory.last_n(), + ): + chunk = self.normalize_after_punct(full_text, chunk) + + buffer += chunk + + if FLUSH_RE.search(buffer): + yield buffer + full_text += buffer + buffer = "" + + if buffer: + yield buffer + full_text += buffer + + # 4. Save assistant message + self.memory.add_assistant(full_text) diff --git a/backend/src/llm/provider.py b/backend/src/llm/provider.py new file mode 100644 index 0000000..7d75d00 --- /dev/null +++ b/backend/src/llm/provider.py @@ -0,0 +1,94 @@ +import os +import requests +import json +from dotenv import load_dotenv + +load_dotenv() + + +class LLMProvider: + def __init__( + self, + base_url: str | None = None, + model: str | None = None, + ): + self.base_url = base_url or os.getenv("LLM_BASE_URL") + self.model = model or os.getenv("LLM_MODEL", "llama3.1") + self.mode = "ollama" + + if not self.base_url: + raise ValueError("LLM_BASE_URL is not set") + + def _chat_payload(self, messages, stream: bool): + return { + "model": self.model, + "messages": messages, + "stream": stream, + } + + def chat(self, message: str, memory=None) -> str: + messages = [] + + if memory: + for item in memory: + messages.append({"role": item["role"], "content": item["text"]}) + + messages.append({"role": "user", "content": message}) + + resp = requests.post( + f"{self.base_url}/api/chat", + json=self._chat_payload(messages, stream=False), + timeout=60, + ) + resp.raise_for_status() + return resp.json()["message"]["content"] + + def plan(self, instruction: str, system_prompt="", memory=None) -> str: + messages = [] + + if system_prompt: + messages.append({"role": "system", "content": system_prompt}) + + if memory: + for item in memory: + messages.append({"role": item["role"], "content": item["text"]}) + + messages.append({"role": "user", "content": instruction}) + + resp = requests.post( + f"{self.base_url}/api/chat", + json=self._chat_payload(messages, stream=False), + timeout=60, + ) + resp.raise_for_status() + return resp.json()["message"]["content"] + + def chat_stream(self, message: str, memory=None): + messages = [] + + if memory: + for item in memory: + messages.append({"role": item["role"], "content": item["text"]}) + + messages.append({"role": "user", "content": message}) + + resp = requests.post( + f"{self.base_url}/api/chat", + json=self._chat_payload(messages, stream=True), + stream=True, + timeout=60, + ) + resp.raise_for_status() + + for line in resp.iter_lines(): + if not line: + continue + + data = json.loads(line.decode("utf-8")) + + if data.get("done"): + break + + content = data.get("message", {}).get("content") + if content: + yield content diff --git a/backend/src/main.py b/backend/src/main.py new file mode 100644 index 0000000..036861d --- /dev/null +++ b/backend/src/main.py @@ -0,0 +1,22 @@ +from fastapi import FastAPI +from fastapi.middleware.cors import CORSMiddleware +from routes.chat import router as chat_router +from routes.chat_stream import router as chat_stream_router + +app = FastAPI(title="NTG Agent API") + +app.add_middleware( + CORSMiddleware, + allow_origins=["*"], + allow_credentials=True, + allow_methods=["*"], + allow_headers=["*"], +) + +app.include_router(chat_router, prefix="/api") +app.include_router(chat_stream_router, prefix="/api") + + +@app.get("/") +def health(): + return {"status": "ok"} diff --git a/src/memory/memory.py b/backend/src/memory/memory.py similarity index 100% rename from src/memory/memory.py rename to backend/src/memory/memory.py diff --git a/src/ntg_agent_cli/__init__.py b/backend/src/ntg_agent_cli/__init__.py similarity index 100% rename from src/ntg_agent_cli/__init__.py rename to backend/src/ntg_agent_cli/__init__.py diff --git a/src/ntg_agent_cli/cli.py b/backend/src/ntg_agent_cli/cli.py similarity index 100% rename from src/ntg_agent_cli/cli.py rename to backend/src/ntg_agent_cli/cli.py diff --git a/backend/src/routes/chat.py b/backend/src/routes/chat.py new file mode 100644 index 0000000..e9af3de --- /dev/null +++ b/backend/src/routes/chat.py @@ -0,0 +1,16 @@ +from fastapi import APIRouter +from agent.runner import AgentRunner +from schemas.chat import ChatRequest, ChatResponse + +router = APIRouter() +agent = AgentRunner() + + +@router.post("/chat", response_model=ChatResponse) +def chat(req: ChatRequest): + result = agent.run(req.message) + print(result) + return ChatResponse( + type=result["type"], + output=result["output"], + ) diff --git a/backend/src/routes/chat_stream.py b/backend/src/routes/chat_stream.py new file mode 100644 index 0000000..291812d --- /dev/null +++ b/backend/src/routes/chat_stream.py @@ -0,0 +1,25 @@ +from fastapi import APIRouter +from fastapi.responses import StreamingResponse +from schemas.chat import ChatRequest +from agent.runner import AgentRunner + +router = APIRouter() +agent = AgentRunner() + + +def sse(data: str): + return f"data: {data}\n\n" + + +@router.post("/chat/stream") +def chat_stream(req: ChatRequest): + def generator(): + for chunk in agent.run_stream(req.message): + yield sse(chunk) + + yield sse("[DONE]") + + return StreamingResponse( + generator(), + media_type="text/event-stream", + ) diff --git a/backend/src/schemas/chat.py b/backend/src/schemas/chat.py new file mode 100644 index 0000000..9e78fe8 --- /dev/null +++ b/backend/src/schemas/chat.py @@ -0,0 +1,10 @@ +from pydantic import BaseModel + + +class ChatRequest(BaseModel): + message: str + + +class ChatResponse(BaseModel): + type: str + output: str | dict diff --git a/src/tools/registry.py b/backend/src/tools/registry.py similarity index 100% rename from src/tools/registry.py rename to backend/src/tools/registry.py diff --git a/src/tools/web.py b/backend/src/tools/web.py similarity index 100% rename from src/tools/web.py rename to backend/src/tools/web.py diff --git a/uv.lock b/backend/uv.lock similarity index 100% rename from uv.lock rename to backend/uv.lock diff --git a/frontend/.env.example b/frontend/.env.example new file mode 100644 index 0000000..c2058b5 --- /dev/null +++ b/frontend/.env.example @@ -0,0 +1 @@ +VITE_API_BASE_URL=http://localhost:8000 diff --git a/frontend/.gitignore b/frontend/.gitignore new file mode 100644 index 0000000..1cac559 --- /dev/null +++ b/frontend/.gitignore @@ -0,0 +1,25 @@ +# Logs +logs +*.log +npm-debug.log* +yarn-debug.log* +yarn-error.log* +pnpm-debug.log* +lerna-debug.log* + +node_modules +dist +dist-ssr +*.local + +# Editor directories and files +.vscode/* +!.vscode/extensions.json +.idea +.DS_Store +*.suo +*.ntvs* +*.njsproj +*.sln +*.sw? +.env \ No newline at end of file diff --git a/frontend/README.md b/frontend/README.md new file mode 100644 index 0000000..d2e7761 --- /dev/null +++ b/frontend/README.md @@ -0,0 +1,73 @@ +# React + TypeScript + Vite + +This template provides a minimal setup to get React working in Vite with HMR and some ESLint rules. + +Currently, two official plugins are available: + +- [@vitejs/plugin-react](https://github.com/vitejs/vite-plugin-react/blob/main/packages/plugin-react) uses [Babel](https://babeljs.io/) (or [oxc](https://oxc.rs) when used in [rolldown-vite](https://vite.dev/guide/rolldown)) for Fast Refresh +- [@vitejs/plugin-react-swc](https://github.com/vitejs/vite-plugin-react/blob/main/packages/plugin-react-swc) uses [SWC](https://swc.rs/) for Fast Refresh + +## React Compiler + +The React Compiler is not enabled on this template because of its impact on dev & build performances. To add it, see [this documentation](https://react.dev/learn/react-compiler/installation). + +## Expanding the ESLint configuration + +If you are developing a production application, we recommend updating the configuration to enable type-aware lint rules: + +```js +export default defineConfig([ + globalIgnores(['dist']), + { + files: ['**/*.{ts,tsx}'], + extends: [ + // Other configs... + + // Remove tseslint.configs.recommended and replace with this + tseslint.configs.recommendedTypeChecked, + // Alternatively, use this for stricter rules + tseslint.configs.strictTypeChecked, + // Optionally, add this for stylistic rules + tseslint.configs.stylisticTypeChecked, + + // Other configs... + ], + languageOptions: { + parserOptions: { + project: ['./tsconfig.node.json', './tsconfig.app.json'], + tsconfigRootDir: import.meta.dirname, + }, + // other options... + }, + }, +]) +``` + +You can also install [eslint-plugin-react-x](https://github.com/Rel1cx/eslint-react/tree/main/packages/plugins/eslint-plugin-react-x) and [eslint-plugin-react-dom](https://github.com/Rel1cx/eslint-react/tree/main/packages/plugins/eslint-plugin-react-dom) for React-specific lint rules: + +```js +// eslint.config.js +import reactX from 'eslint-plugin-react-x' +import reactDom from 'eslint-plugin-react-dom' + +export default defineConfig([ + globalIgnores(['dist']), + { + files: ['**/*.{ts,tsx}'], + extends: [ + // Other configs... + // Enable lint rules for React + reactX.configs['recommended-typescript'], + // Enable lint rules for React DOM + reactDom.configs.recommended, + ], + languageOptions: { + parserOptions: { + project: ['./tsconfig.node.json', './tsconfig.app.json'], + tsconfigRootDir: import.meta.dirname, + }, + // other options... + }, + }, +]) +``` diff --git a/frontend/components.json b/frontend/components.json new file mode 100644 index 0000000..1537d50 --- /dev/null +++ b/frontend/components.json @@ -0,0 +1,22 @@ +{ + "$schema": "https://ui.shadcn.com/schema.json", + "style": "new-york", + "rsc": false, + "tsx": true, + "tailwind": { + "config": "tailwind.config.js", + "css": "src/index.css", + "baseColor": "neutral", + "cssVariables": true, + "prefix": "" + }, + "iconLibrary": "lucide", + "aliases": { + "components": "@/components", + "utils": "@/lib/utils", + "ui": "@/components/ui", + "lib": "@/lib", + "hooks": "@/hooks" + }, + "registries": {} +} diff --git a/frontend/eslint.config.js b/frontend/eslint.config.js new file mode 100644 index 0000000..5e6b472 --- /dev/null +++ b/frontend/eslint.config.js @@ -0,0 +1,23 @@ +import js from '@eslint/js' +import globals from 'globals' +import reactHooks from 'eslint-plugin-react-hooks' +import reactRefresh from 'eslint-plugin-react-refresh' +import tseslint from 'typescript-eslint' +import { defineConfig, globalIgnores } from 'eslint/config' + +export default defineConfig([ + globalIgnores(['dist']), + { + files: ['**/*.{ts,tsx}'], + extends: [ + js.configs.recommended, + tseslint.configs.recommended, + reactHooks.configs.flat.recommended, + reactRefresh.configs.vite, + ], + languageOptions: { + ecmaVersion: 2020, + globals: globals.browser, + }, + }, +]) diff --git a/frontend/index.html b/frontend/index.html new file mode 100644 index 0000000..b85aaa3 --- /dev/null +++ b/frontend/index.html @@ -0,0 +1,13 @@ + + + + + + + Agent + + +
+ + + diff --git a/frontend/package-lock.json b/frontend/package-lock.json new file mode 100644 index 0000000..5782a9e --- /dev/null +++ b/frontend/package-lock.json @@ -0,0 +1,4465 @@ +{ + "name": "frontend", + "version": "0.0.0", + "lockfileVersion": 3, + "requires": true, + "packages": { + "": { + "name": "frontend", + "version": "0.0.0", + "dependencies": { + "@radix-ui/react-slot": "^1.2.4", + "@tanstack/react-query": "^5.90.20", + "axios": "^1.13.3", + "class-variance-authority": "^0.7.1", + "clsx": "^2.1.1", + "lucide-react": "^0.563.0", + "react": "^19.2.0", + "react-dom": "^19.2.0", + "tailwind-merge": "^3.4.0", + "tailwindcss-animate": "^1.0.7", + "zustand": "^5.0.10" + }, + "devDependencies": { + "@eslint/js": "^9.39.1", + "@types/node": "^24.10.1", + "@types/react": "^19.2.5", + "@types/react-dom": "^19.2.3", + "@vitejs/plugin-react": "^5.1.1", + "autoprefixer": "^10.4.23", + "eslint": "^9.39.1", + "eslint-plugin-react-hooks": "^7.0.1", + "eslint-plugin-react-refresh": 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--git a/frontend/package.json b/frontend/package.json new file mode 100644 index 0000000..c412409 --- /dev/null +++ b/frontend/package.json @@ -0,0 +1,42 @@ +{ + "name": "frontend", + "private": true, + "version": "0.0.0", + "type": "module", + "scripts": { + "dev": "vite", + "build": "tsc -b && vite build", + "lint": "eslint .", + "preview": "vite preview" + }, + "dependencies": { + "@radix-ui/react-slot": "^1.2.4", + "@tanstack/react-query": "^5.90.20", + "axios": "^1.13.3", + "class-variance-authority": "^0.7.1", + "clsx": "^2.1.1", + "lucide-react": "^0.563.0", + "react": "^19.2.0", + "react-dom": "^19.2.0", + "tailwind-merge": "^3.4.0", + "tailwindcss-animate": "^1.0.7", + "zustand": "^5.0.10" + }, + "devDependencies": { + "@eslint/js": "^9.39.1", + "@types/node": "^24.10.1", + "@types/react": "^19.2.5", + "@types/react-dom": "^19.2.3", + "@vitejs/plugin-react": "^5.1.1", + "autoprefixer": "^10.4.23", + "eslint": "^9.39.1", + "eslint-plugin-react-hooks": "^7.0.1", + "eslint-plugin-react-refresh": "^0.4.24", + "globals": "^16.5.0", + "postcss": "^8.5.6", + "tailwindcss": "^3.4.19", + "typescript": "~5.9.3", + "typescript-eslint": "^8.46.4", + "vite": "^7.2.4" + } +} diff --git a/frontend/postcss.config.js b/frontend/postcss.config.js new file mode 100644 index 0000000..2e7af2b --- /dev/null +++ b/frontend/postcss.config.js @@ -0,0 +1,6 @@ +export default { + plugins: { + tailwindcss: {}, + autoprefixer: {}, + }, +} diff --git a/frontend/public/vite.svg b/frontend/public/vite.svg new file mode 100644 index 0000000..e7b8dfb --- /dev/null +++ b/frontend/public/vite.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/frontend/src/App.tsx b/frontend/src/App.tsx new file mode 100644 index 0000000..6531506 --- /dev/null +++ b/frontend/src/App.tsx @@ -0,0 +1,7 @@ +import { ChatWindow } from "./components/ChatWindow" + +function App() { + return +} + +export default App diff --git a/frontend/src/api/chat.api.ts b/frontend/src/api/chat.api.ts new file mode 100644 index 0000000..55cd985 --- /dev/null +++ b/frontend/src/api/chat.api.ts @@ -0,0 +1,55 @@ +import type { ChatRequest, ChatResponse } from "../types/chat" +import { API_BASE_URL } from "../config/env" + +export async function sendChatMessage( + payload: ChatRequest +): Promise { + const res = await fetch(`${API_BASE_URL}/api/chat`, { + method: "POST", + headers: { "Content-Type": "application/json" }, + body: JSON.stringify(payload), + }) + + if (!res.ok) { + throw new Error("Failed to send message") + } + + return res.json() +} + +export async function sendChatStream( + payload: ChatRequest, + onToken: (token: string) => void +) { + const res = await fetch(`${API_BASE_URL}/api/chat/stream`, { + method: "POST", + headers: { "Content-Type": "application/json" }, + body: JSON.stringify(payload), + }) + + if (!res.body) throw new Error("No stream body") + + const reader = res.body.getReader() + const decoder = new TextDecoder() + let buffer = "" + + while (true) { + const { value, done } = await reader.read() + if (done) break + + buffer += decoder.decode(value, { stream: true }) + + const lines = buffer.split("\n") + buffer = lines.pop() ?? "" + + for (const line of lines) { + if (!line.startsWith("data:")) continue + + const data = line.replace(/^data:\s?/, "").replace(/\r$/, "") + + if (data === "[DONE]") return + + onToken(data) + } + } +} diff --git a/frontend/src/assets/react.svg b/frontend/src/assets/react.svg new file mode 100644 index 0000000..6c87de9 --- /dev/null +++ b/frontend/src/assets/react.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/frontend/src/components/ChatInput.tsx b/frontend/src/components/ChatInput.tsx new file mode 100644 index 0000000..cc5cfec --- /dev/null +++ b/frontend/src/components/ChatInput.tsx @@ -0,0 +1,36 @@ +import { useState } from "react" +import { Input } from "./ui/input" +import { Button } from "./ui/button" + +interface Props { + onSend: (text: string) => void + disabled?: boolean +} + +export const ChatInput = ({ onSend, disabled }: Props) => { + const [value, setValue] = useState("") + + const submit = () => { + if (!value.trim()) return + onSend(value) + setValue("") + } + + return ( +
+ setValue(e.target.value)} + onKeyDown={e => e.key === "Enter" && submit()} + disabled={disabled} + placeholder="Type your message..." + /> + +
+ ) +} diff --git a/frontend/src/components/ChatMessages.tsx b/frontend/src/components/ChatMessages.tsx new file mode 100644 index 0000000..d3e2bd9 --- /dev/null +++ b/frontend/src/components/ChatMessages.tsx @@ -0,0 +1,38 @@ +import { Role } from "@/shared/constant" +import { useChatStore } from "@/store/chat.store" +import { useEffect, useRef } from "react" +import { TypingCursor } from "./TypingCursor" + +export const ChatMessages = () => { + const bottomRef = useRef(null) + const messages = useChatStore((s) => s.messages) + const isThinking = useChatStore(s => s.isThinking) + + useEffect(() => { + bottomRef.current?.scrollIntoView({ behavior: "smooth" }) + }, [messages]) + return ( +
+ {messages.map((m, i) => ( +
+ {m.role === Role.ASSISTENT && isThinking && i === messages.length - 1 && ( + + )} +
+ {m.content} +
+
+ ))} + + {/* auto scroll to bottom */} +
+
+ ) +} + diff --git a/frontend/src/components/ChatWindow.tsx b/frontend/src/components/ChatWindow.tsx new file mode 100644 index 0000000..5fad3e7 --- /dev/null +++ b/frontend/src/components/ChatWindow.tsx @@ -0,0 +1,31 @@ +import { ChatMessages } from "./ChatMessages" +import { ChatInput } from "./ChatInput" +import { useChatStream } from "../hooks/useChatStream" +import { useChatStore } from "@/store/chat.store" + +export const ChatWindow = () => { + const { sendMessage } = useChatStream() + const isThinking = useChatStore(s => s.isThinking) + + return ( +
+
+
+ 🤖 NTG Agent +
+ +
+ + {isThinking && ( +
+ AI is thinking... +
+ )} +
+ + +
+
+ ) +} diff --git a/frontend/src/components/TypingCursor.tsx b/frontend/src/components/TypingCursor.tsx new file mode 100644 index 0000000..3ea9640 --- /dev/null +++ b/frontend/src/components/TypingCursor.tsx @@ -0,0 +1,3 @@ +export const TypingCursor = () => ( + ▍ +) diff --git a/frontend/src/components/ui/button.tsx b/frontend/src/components/ui/button.tsx new file mode 100644 index 0000000..65d4fcd --- /dev/null +++ b/frontend/src/components/ui/button.tsx @@ -0,0 +1,57 @@ +import * as React from "react" +import { Slot } from "@radix-ui/react-slot" +import { cva, type VariantProps } from "class-variance-authority" + +import { cn } from "@/lib/utils" + +const buttonVariants = cva( + "inline-flex items-center justify-center gap-2 whitespace-nowrap rounded-md text-sm font-medium transition-colors focus-visible:outline-none focus-visible:ring-1 focus-visible:ring-ring disabled:pointer-events-none disabled:opacity-50 [&_svg]:pointer-events-none [&_svg]:size-4 [&_svg]:shrink-0", + { + variants: { + variant: { + default: + "bg-primary text-primary-foreground shadow hover:bg-primary/90", + destructive: + "bg-destructive text-destructive-foreground shadow-sm hover:bg-destructive/90", + outline: + "border border-input bg-background shadow-sm hover:bg-accent hover:text-accent-foreground", + secondary: + "bg-secondary text-secondary-foreground shadow-sm hover:bg-secondary/80", + ghost: "hover:bg-accent hover:text-accent-foreground", + link: "text-primary underline-offset-4 hover:underline", + }, + size: { + default: "h-9 px-4 py-2", + sm: "h-8 rounded-md px-3 text-xs", + lg: "h-10 rounded-md px-8", + icon: "h-9 w-9", + }, + }, + defaultVariants: { + variant: "default", + size: "default", + }, + } +) + +export interface ButtonProps + extends React.ButtonHTMLAttributes, + VariantProps { + asChild?: boolean +} + +const Button = React.forwardRef( + ({ className, variant, size, asChild = false, ...props }, ref) => { + const Comp = asChild ? Slot : "button" + return ( + + ) + } +) +Button.displayName = "Button" + +export { Button, buttonVariants } diff --git a/frontend/src/components/ui/input.tsx b/frontend/src/components/ui/input.tsx new file mode 100644 index 0000000..69b64fb --- /dev/null +++ b/frontend/src/components/ui/input.tsx @@ -0,0 +1,22 @@ +import * as React from "react" + +import { cn } from "@/lib/utils" + +const Input = React.forwardRef>( + ({ className, type, ...props }, ref) => { + return ( + + ) + } +) +Input.displayName = "Input" + +export { Input } diff --git a/frontend/src/config/env.ts b/frontend/src/config/env.ts new file mode 100644 index 0000000..7cd6898 --- /dev/null +++ b/frontend/src/config/env.ts @@ -0,0 +1,5 @@ +export const API_BASE_URL = import.meta.env.VITE_API_BASE_URL as string + +if (!API_BASE_URL) { + throw new Error("VITE_API_BASE_URL is not defined") +} diff --git a/frontend/src/hooks/useChatStream.ts b/frontend/src/hooks/useChatStream.ts new file mode 100644 index 0000000..76cab78 --- /dev/null +++ b/frontend/src/hooks/useChatStream.ts @@ -0,0 +1,27 @@ +import { sendChatStream } from "@/api/chat.api" +import { useChatStore } from "@/store/chat.store" + +export const useChatStream = () => { + const { + addUserMessage, + startAssistantMessage, + appendAssistantChunk, + finishAssistantMessage, + } = useChatStore() + + async function sendMessage(text: string) { + addUserMessage(text) + startAssistantMessage() + + await sendChatStream( + { message: text }, + (chunk) => { + appendAssistantChunk(chunk) + } + ) + + finishAssistantMessage() + } + + return { sendMessage } +} diff --git a/frontend/src/index.css b/frontend/src/index.css new file mode 100644 index 0000000..18323ca --- /dev/null +++ b/frontend/src/index.css @@ -0,0 +1,68 @@ +@tailwind base; +@tailwind components; +@tailwind utilities; + +@layer base { + :root { + --background: 0 0% 100%; + --foreground: 0 0% 3.9%; + --card: 0 0% 100%; + --card-foreground: 0 0% 3.9%; + --popover: 0 0% 100%; + --popover-foreground: 0 0% 3.9%; + --primary: 0 0% 9%; + --primary-foreground: 0 0% 98%; + --secondary: 0 0% 96.1%; + --secondary-foreground: 0 0% 9%; + --muted: 0 0% 96.1%; + --muted-foreground: 0 0% 45.1%; + --accent: 0 0% 96.1%; + --accent-foreground: 0 0% 9%; + --destructive: 0 84.2% 60.2%; + --destructive-foreground: 0 0% 98%; + --border: 0 0% 89.8%; + --input: 0 0% 89.8%; + --ring: 0 0% 3.9%; + --chart-1: 12 76% 61%; + --chart-2: 173 58% 39%; + --chart-3: 197 37% 24%; + --chart-4: 43 74% 66%; + --chart-5: 27 87% 67%; + --radius: 0.5rem + } + .dark { + --background: 0 0% 3.9%; + --foreground: 0 0% 98%; + --card: 0 0% 3.9%; + --card-foreground: 0 0% 98%; + --popover: 0 0% 3.9%; + --popover-foreground: 0 0% 98%; + --primary: 0 0% 98%; + --primary-foreground: 0 0% 9%; + --secondary: 0 0% 14.9%; + --secondary-foreground: 0 0% 98%; + --muted: 0 0% 14.9%; + --muted-foreground: 0 0% 63.9%; + --accent: 0 0% 14.9%; + --accent-foreground: 0 0% 98%; + --destructive: 0 62.8% 30.6%; + --destructive-foreground: 0 0% 98%; + --border: 0 0% 14.9%; + --input: 0 0% 14.9%; + --ring: 0 0% 83.1%; + --chart-1: 220 70% 50%; + --chart-2: 160 60% 45%; + --chart-3: 30 80% 55%; + --chart-4: 280 65% 60%; + --chart-5: 340 75% 55% + } +} + +@layer base { + * { + @apply border-border; + } + body { + @apply bg-background text-foreground; + } +} diff --git a/frontend/src/lib/utils.ts b/frontend/src/lib/utils.ts new file mode 100644 index 0000000..bd0c391 --- /dev/null +++ b/frontend/src/lib/utils.ts @@ -0,0 +1,6 @@ +import { clsx, type ClassValue } from "clsx" +import { twMerge } from "tailwind-merge" + +export function cn(...inputs: ClassValue[]) { + return twMerge(clsx(inputs)) +} diff --git a/frontend/src/main.tsx b/frontend/src/main.tsx new file mode 100644 index 0000000..407fef0 --- /dev/null +++ b/frontend/src/main.tsx @@ -0,0 +1,15 @@ +import React from "react" +import ReactDOM from "react-dom/client" +import { QueryClient, QueryClientProvider } from "@tanstack/react-query" +import App from "./App" +import "./index.css" + +const queryClient = new QueryClient() + +ReactDOM.createRoot(document.getElementById("root")!).render( + + + + + +) diff --git a/frontend/src/shared/constant.ts b/frontend/src/shared/constant.ts new file mode 100644 index 0000000..cd7bfe4 --- /dev/null +++ b/frontend/src/shared/constant.ts @@ -0,0 +1,4 @@ +export const Role = { + USER: "user", + ASSISTENT: "assistant" +} as const \ No newline at end of file diff --git a/frontend/src/store/chat.store.ts b/frontend/src/store/chat.store.ts new file mode 100644 index 0000000..294acf9 --- /dev/null +++ b/frontend/src/store/chat.store.ts @@ -0,0 +1,45 @@ +import { create } from "zustand" +import type { ChatMessage } from "../types/chat" +import { Role } from "@/shared/constant" + +type ChatState = { + messages: ChatMessage[] + isThinking: boolean + addUserMessage: (text: string) => void + startAssistantMessage: () => void + appendAssistantChunk: (chunk: string) => void + finishAssistantMessage: () => void +} + +export const useChatStore = create((set) => ({ + messages: [], + isThinking: false, + + addUserMessage: (text) => + set((state) => ({ + messages: [...state.messages, { role: Role.USER, content: text }], + })), + + startAssistantMessage: () => + set((state) => ({ + isThinking: true, + messages: [ + ...state.messages, + { role: Role.ASSISTENT, content: "" }, + ], + })), + + appendAssistantChunk: (chunk) => + set((state) => { + const messages = [...state.messages] + const last = messages[messages.length - 1] + if (last?.role === Role.ASSISTENT) { + last.content += chunk + } + return { messages } + }), + + finishAssistantMessage: () => + set({ isThinking: false }), +})) + diff --git a/frontend/src/types/chat.ts b/frontend/src/types/chat.ts new file mode 100644 index 0000000..f79e037 --- /dev/null +++ b/frontend/src/types/chat.ts @@ -0,0 +1,13 @@ +export type ChatMessage = { + role: "user" | "assistant" + content: string +} + +export type ChatRequest = { + message: string +} + +export type ChatResponse = { + type: "llm_response" | "tool_result" | "error" + output: string +} diff --git a/frontend/tailwind.config.js b/frontend/tailwind.config.js new file mode 100644 index 0000000..492ba30 --- /dev/null +++ b/frontend/tailwind.config.js @@ -0,0 +1,60 @@ +/** @type {import('tailwindcss').Config} */ +export default { + darkMode: ["class"], + content: [ + "./index.html", + "./src/**/*.{js,ts,jsx,tsx}", + ], + theme: { + extend: { + borderRadius: { + lg: 'var(--radius)', + md: 'calc(var(--radius) - 2px)', + sm: 'calc(var(--radius) - 4px)' + }, + colors: { + background: 'hsl(var(--background))', + foreground: 'hsl(var(--foreground))', + card: { + DEFAULT: 'hsl(var(--card))', + foreground: 'hsl(var(--card-foreground))' + }, + popover: { + DEFAULT: 'hsl(var(--popover))', + foreground: 'hsl(var(--popover-foreground))' + }, + primary: { + DEFAULT: 'hsl(var(--primary))', + foreground: 'hsl(var(--primary-foreground))' + }, + secondary: { + DEFAULT: 'hsl(var(--secondary))', + foreground: 'hsl(var(--secondary-foreground))' + }, + muted: { + DEFAULT: 'hsl(var(--muted))', + foreground: 'hsl(var(--muted-foreground))' + }, + accent: { + DEFAULT: 'hsl(var(--accent))', + foreground: 'hsl(var(--accent-foreground))' + }, + destructive: { + DEFAULT: 'hsl(var(--destructive))', + foreground: 'hsl(var(--destructive-foreground))' + }, + border: 'hsl(var(--border))', + input: 'hsl(var(--input))', + ring: 'hsl(var(--ring))', + chart: { + '1': 'hsl(var(--chart-1))', + '2': 'hsl(var(--chart-2))', + '3': 'hsl(var(--chart-3))', + '4': 'hsl(var(--chart-4))', + '5': 'hsl(var(--chart-5))' + } + } + } + }, + plugins: [require("tailwindcss-animate")], +} diff --git a/frontend/tsconfig.app.json b/frontend/tsconfig.app.json new file mode 100644 index 0000000..e9c25d9 --- /dev/null +++ b/frontend/tsconfig.app.json @@ -0,0 +1,40 @@ +{ + "compilerOptions": { + "baseUrl": ".", + "paths": { + "@/*": [ + "src/*" + ] + }, + "tsBuildInfoFile": "./node_modules/.tmp/tsconfig.app.tsbuildinfo", + "target": "ES2022", + "useDefineForClassFields": true, + "lib": [ + "ES2022", + "DOM", + "DOM.Iterable" + ], + "module": "ESNext", + "types": [ + "vite/client" + ], + "skipLibCheck": true, + /* Bundler mode */ + "moduleResolution": "bundler", + "allowImportingTsExtensions": true, + "verbatimModuleSyntax": true, + "moduleDetection": "force", + "noEmit": true, + "jsx": "react-jsx", + /* Linting */ + "strict": true, + "noUnusedLocals": true, + "noUnusedParameters": true, + "erasableSyntaxOnly": true, + "noFallthroughCasesInSwitch": true, + "noUncheckedSideEffectImports": true + }, + "include": [ + "src" + ] +} \ No newline at end of file diff --git a/frontend/tsconfig.json b/frontend/tsconfig.json new file mode 100644 index 0000000..0865e26 --- /dev/null +++ b/frontend/tsconfig.json @@ -0,0 +1,19 @@ +{ + "compilerOptions": { + "baseUrl": ".", + "paths": { + "@/*": [ + "src/*" + ] + } + }, + "files": [], + "references": [ + { + "path": "./tsconfig.app.json" + }, + { + "path": "./tsconfig.node.json" + } + ] +} \ No newline at end of file diff --git a/frontend/tsconfig.node.json b/frontend/tsconfig.node.json new file mode 100644 index 0000000..8a67f62 --- /dev/null +++ b/frontend/tsconfig.node.json @@ -0,0 +1,26 @@ +{ + "compilerOptions": { + "tsBuildInfoFile": "./node_modules/.tmp/tsconfig.node.tsbuildinfo", + "target": "ES2023", + "lib": ["ES2023"], + "module": "ESNext", + "types": ["node"], + "skipLibCheck": true, + + /* Bundler mode */ + "moduleResolution": "bundler", + "allowImportingTsExtensions": true, + "verbatimModuleSyntax": true, + "moduleDetection": "force", + "noEmit": true, + + /* Linting */ + "strict": true, + "noUnusedLocals": true, + "noUnusedParameters": true, + "erasableSyntaxOnly": true, + "noFallthroughCasesInSwitch": true, + "noUncheckedSideEffectImports": true + }, + "include": ["vite.config.ts"] +} diff --git a/frontend/vite.config.ts b/frontend/vite.config.ts new file mode 100644 index 0000000..b522c6e --- /dev/null +++ b/frontend/vite.config.ts @@ -0,0 +1,12 @@ +import { defineConfig } from "vite" +import react from "@vitejs/plugin-react" +import path from "path" + +export default defineConfig({ + plugins: [react()], + resolve: { + alias: { + "@": path.resolve(__dirname, "src"), + }, + }, +}) diff --git a/src/llm/provider.py b/src/llm/provider.py deleted file mode 100644 index 5690219..0000000 --- a/src/llm/provider.py +++ /dev/null @@ -1,47 +0,0 @@ -# src/llm/provider.py -from openai import OpenAI -import os -from dotenv import load_dotenv - -load_dotenv() - -OPENAI_KEY = os.getenv("OPENAI_API_KEY") - - -class LLMProvider: - def __init__(self, api_key: str | None = None): - key = api_key or OPENAI_KEY - if key: - self.client = OpenAI(api_key=key) - self.mode = "openai" - - def chat(self, message: str, memory=None) -> str: - messages = [] - - if memory: - for item in memory: - messages.append({"role": item["role"], "content": item["text"]}) - - messages.append({"role": "user", "content": message}) - - resp = self.client.chat.completions.create( - model="gpt-4o-mini", - messages=messages, - ) - return resp.choices[0].message.content - - def plan(self, instruction: str, system_prompt: str = "", memory=None): - messages = [] - - if memory: - for item in memory: - messages.append({"role": item["role"], "content": item["text"]}) - - messages.append({"role": "system", "content": system_prompt}) - messages.append({"role": "user", "content": instruction}) - - resp = self.client.chat.completions.create( - model="gpt-4o-mini", - messages=messages, - ) - return resp.choices[0].message.content diff --git a/src/main.py b/src/main.py deleted file mode 100644 index c051270..0000000 --- a/src/main.py +++ /dev/null @@ -1,10 +0,0 @@ -from fastapi import FastAPI -from src.agent.runner import AgentRunner - -app = FastAPI() -agent = AgentRunner() - - -@app.post("/chat") -def chat(msg: dict): - return {"response": agent.run(msg["message"])}