diff --git a/.dockerignore b/.dockerignore new file mode 100644 index 0000000000000000000000000000000000000000..82cef9fc30f9afb8af56213e1a9268268521c025 --- /dev/null +++ b/.dockerignore @@ -0,0 +1,15 @@ +.git +.gemini +.vercel + +backend/.env +backend/venv +backend/__pycache__ +backend/**/__pycache__ +backend/**/*.pyc + +frontend/.env +frontend/node_modules +frontend/dist + +*.log diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000000000000000000000000000000000000..224315d47126b4c4f2b383e5108e4ce3bf23581e --- /dev/null +++ b/.gitignore @@ -0,0 +1,9 @@ +backend/.env +/backend/venv +/backend/__pycache__ +/backend/venv +frontend/.env +__pycache__/ +*.pyc + +.vercel diff --git a/Dockerfile b/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..17cf6460c7093e4ed80cf01723e3cd947bdb620e --- /dev/null +++ b/Dockerfile @@ -0,0 +1,39 @@ +FROM node:22-slim AS frontend-build + +WORKDIR /app/frontend + +COPY frontend/package*.json ./ +RUN npm ci + +COPY frontend ./ + +ARG VITE_API_URL="" +ARG VITE_SUPABASE_URL="" +ARG VITE_SUPABASE_ANON_KEY="" +ARG VITE_SENTRY_DSN="" + +ENV VITE_API_URL=$VITE_API_URL +ENV VITE_SUPABASE_URL=$VITE_SUPABASE_URL +ENV VITE_SUPABASE_ANON_KEY=$VITE_SUPABASE_ANON_KEY +ENV VITE_SENTRY_DSN=$VITE_SENTRY_DSN + +RUN npm run build + +FROM python:3.11-slim + +ENV PORT=7860 +ENV PYTHONUNBUFFERED=1 + +WORKDIR /app + +COPY backend/requirements.txt backend/requirements.txt +RUN pip install --no-cache-dir -r backend/requirements.txt + +COPY backend backend +COPY --from=frontend-build /app/frontend/dist frontend/dist + +WORKDIR /app/backend + +EXPOSE 7860 + +CMD ["sh", "-c", "uvicorn main:app --host 0.0.0.0 --port ${PORT:-7860}"] diff --git a/README.md b/README.md index 26c91f31679905c4b39d879d2cf5870a5a62331b..80b215e932e35e615788c87fbfac02697967b2f9 100644 --- a/README.md +++ b/README.md @@ -1,12 +1,141 @@ --- title: Aubm -emoji: 🐠 -colorFrom: yellow -colorTo: purple sdk: docker -pinned: false +app_port: 7860 license: mit short_description: Automated Business Machines --- -Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference +# 🤖 Aubm + +### Enterprise-Grade AI Agent Orchestration & Collaboration Platform + +Aubm (Automated Unified Business Machines) is a sophisticated platform designed to orchestrate multiple autonomous AI agents to complete complex projects. Featuring **Human-in-the-Loop** supervision, **Dynamic DAG** task execution, and **Semantic RAG** context injection. + +--- + +## 🚀 Key Features + +- **Multi-Provider Support**: Seamless integration with OpenAI, AMD (inference.do-ai.run), Groq, Gemini, Qwen, Ollama, and OpenRouter. +- **Autonomous Orchestration**: Intelligent task prioritization and execution based on dependencies (DAG). +- **Human-in-the-Loop**: Approval-based workflow ensuring quality and safety. +- **Semantic Backpropagation**: Context from completed tasks is automatically injected into subsequent tasks. +- **Real-time Monitoring**: SSE-powered live logs and progress tracking. +- **Project Wizard**: AI-driven project creation and task decomposition. +- **Operational Safety**: Automatic recovery of stale runs and comprehensive health monitoring. + +--- + +## 🛠️ Tech Stack + +- **Frontend**: React + Vite + TypeScript (Styled with Vanilla CSS for maximum performance) +- **Backend**: FastAPI (Python 3.10+) +- **Database**: Supabase (Postgres + Auth + Real-time) +- **Deployment**: Optimized for Vercel (Serverless Backend + Static Frontend) + +--- + +## 🏗️ Project Structure + +```bash +aubm/ +├── backend/ # FastAPI Application & AI Core +│ ├── agents/ # LLM Provider Implementations +│ ├── routers/ # API Endpoints (Runner, Orchestrator) +│ ├── services/ # Business Logic (Queue, RAG, Guards) +│ └── main.py # App Entrypoint +├── frontend/ # React Application +│ ├── src/ # Components, Hooks, Context, Services +│ └── vite.config.ts # Vite Configuration +└── database/ # Supabase Schema & Migrations +``` + +--- + +## ⚙️ Getting Started + +### 1. Database Setup (Supabase) +1. Create a new project in [Supabase](https://supabase.com). +2. Go to the **SQL Editor** and execute the content of `backend/schema.sql`. +3. Enable **Auth** with your preferred providers (Email/Password by default). + +### 2. Backend Installation +```bash +cd backend +python -m venv venv +source venv/bin/activate # or venv\Scripts\activate on Windows +pip install -r requirements.txt +``` + +Create a `.env` file in `/backend`: +```env +SUPABASE_URL=your_project_url +SUPABASE_SERVICE_ROLE_KEY=your_service_role_key +OPENAI_API_KEY=optional_key +GROQ_API_KEY=optional_key +# See SPEC.md for all available providers +``` + +Run the server: +```bash +uvicorn main:app --reload --port 8000 +``` + +### 3. Frontend Installation +```bash +cd frontend +npm install +``` + +Create a `.env` file in `/frontend`: +```env +VITE_API_URL=http://localhost:8000 +VITE_SUPABASE_URL=your_project_url +VITE_SUPABASE_ANON_KEY=your_anon_key +``` + +Run the development server: +```bash +npm run dev +``` + +--- + +## 📈 Operational Modes + +- **Embedded Worker**: Runs the task queue within the FastAPI process (set `TASK_QUEUE_EMBEDDED_WORKER=true`). +- **Standalone Worker**: For high-load environments, run the worker in a separate process: + ```bash + cd backend + python worker.py + ``` + +--- + +## Hugging Face Spaces + +This repository is ready to deploy as a Docker Space. Create a Hugging Face Space with SDK `Docker`, then push this repo to the Space remote. + +Configure these Space secrets or variables: + +```env +SUPABASE_URL=your_project_url +SUPABASE_SERVICE_ROLE_KEY=your_service_role_key +SUPABASE_ANON_KEY=your_anon_key +GROQ_API_KEY=optional_key +OPENAI_API_KEY=optional_key +GEMINI_API_KEY=optional_key +AMD_API_KEY=optional_key +TASK_QUEUE_EMBEDDED_WORKER=true +``` + +`VITE_API_URL` can stay empty on Spaces because the frontend calls the FastAPI backend on the same origin. + +--- + +## 📄 Documentation + +For detailed technical architecture, refer to: +- [SPEC.md](./SPEC.md) - Deep technical specifications. +- [ROADMAP.md](./ROADMAP.md) - Future development goals. +- [docs/](./docs/) - Extended guides and manuals. diff --git a/backend/.env.example b/backend/.env.example new file mode 100644 index 0000000000000000000000000000000000000000..6b8a49a28034a4b6560271a1d95be8f8f788a856 --- /dev/null +++ b/backend/.env.example @@ -0,0 +1,18 @@ +# Supabase Configuration +SUPABASE_URL=https://your-project-id.supabase.co +SUPABASE_SERVICE_ROLE_KEY=your-service-role-key-here + +# AI Provider Keys +OPENAI_API_KEY=your-openai-key +GROQ_API_KEY=your-groq-key +GEMINI_API_KEY=your-gemini-key +ANTHROPIC_API_KEY=your-anthropic-key + +# App Settings +PORT=8000 +ALLOWED_ORIGINS=http://localhost:5173,https://your-app.vercel.app +TASK_QUEUE_EMBEDDED_WORKER=true +OUTPUT_LANGUAGE=en + +# Error Tracking +SENTRY_DSN=your-sentry-dsn diff --git a/backend/Dockerfile b/backend/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..0afd6ed339be5637341ba3fce2a238d7e5ad0bd3 --- /dev/null +++ b/backend/Dockerfile @@ -0,0 +1,32 @@ +# Build stage for backend +FROM python:3.11-slim + +# Set environment variables +ENV PYTHONDONTWRITEBYTECODE=1 +ENV PYTHONUNBUFFERED=1 + +# Set work directory +WORKDIR /app + +# Install system dependencies +RUN apt-get update && apt-get install -y --no-install-recommends \ + build-essential \ + libpq-dev \ + curl \ + && rm -rf /var/lib/apt/lists/* + +# Install python dependencies +COPY requirements.txt . +RUN pip install --no-cache-dir -r requirements.txt + +# Install Playwright browsers and their dependencies +RUN playwright install --with-deps chromium + +# Copy project +COPY . . + +# Expose port +EXPOSE 8000 + +# Run the application +CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8000"] diff --git a/backend/agents/agent_factory.py b/backend/agents/agent_factory.py new file mode 100644 index 0000000000000000000000000000000000000000..6bf355ec48a8ba77a4cd0e6592940b5fa8e7153c --- /dev/null +++ b/backend/agents/agent_factory.py @@ -0,0 +1,44 @@ +from typing import Dict, Type +from .base import BaseAgent +from .openai_agent import OpenAIAgent +from .amd_agent import AMDAgent +from .groq_agent import GroqAgent +from .gemini_agent import GeminiAgent +from .local_agent import LocalAgent +from services.config import settings + +# Map of providers to their respective classes +PROVIDER_MAP: Dict[str, Type[BaseAgent]] = { + "openai": OpenAIAgent, + "amd": AMDAgent, + "groq": GroqAgent, + "gemini": GeminiAgent, + "local": LocalAgent, + "ollama": LocalAgent +} + +class AgentFactory: + @staticmethod + def get_agent(provider: str, name: str, role: str, model: str, system_prompt: str = None) -> BaseAgent: + """ + Instantiates the appropriate agent based on the provider string. + Includes a fallback to Groq if OpenAI is requested but no key is provided. + """ + provider = provider.lower() + + # Groq Redirection Logic + if provider == "openai" and not settings.OPENAI_API_KEY: + # Check if we have a Groq key before redirecting + if settings.GROQ_API_KEY: + provider = "groq" + model = "llama-3.3-70b-versatile" # Robust fallback model + else: + # If neither is available, let it fail with the original provider + pass + + agent_class = PROVIDER_MAP.get(provider) + + if not agent_class: + raise ValueError(f"Unsupported agent provider: {provider}") + + return agent_class(name=name, role=role, model=model, system_prompt=system_prompt) diff --git a/backend/agents/amd_agent.py b/backend/agents/amd_agent.py new file mode 100644 index 0000000000000000000000000000000000000000..5896b6fea82c90eeb5768c9b8c168ca8f3888115 --- /dev/null +++ b/backend/agents/amd_agent.py @@ -0,0 +1,41 @@ +from .base import BaseAgent +from typing import Dict, Any, List +import openai +from services.config import settings, config_service + +class AMDAgent(BaseAgent): + """ + Agent implementation for AMD Inference (inference.do-ai.run). + Compatible with OpenAI's API format. + """ + def __init__(self, name: str, role: str, model: str = "gpt-4o", system_prompt: str = None): + super().__init__(name, role, model, system_prompt) + + self.provider_config = config_service.get_provider_config("amd") + api_key = self.provider_config.get("api_key") or settings.AMD_API_KEY + + self.client = openai.AsyncOpenAI( + api_key=api_key, + base_url=self.provider_config.get("base_url", "https://inference.do-ai.run/v1") + ) + self.temperature = self.provider_config.get("temperature", 0.7) + self.max_tokens = self.provider_config.get("max_tokens", 4096) + + async def run(self, task_description: str, context: List[Dict[str, Any]], use_tools: bool = False, extra_context: str = "") -> Dict[str, Any]: + try: + response = await self.client.chat.completions.create( + model=self.model, + messages=self._build_chat_messages(task_description, context, extra_context), + response_format={"type": "json_object"}, + temperature=self.temperature, + max_tokens=self.max_tokens + ) + + return self._result("amd", response.choices[0].message.content or "") + except Exception as e: + return { + "agent_name": self.name, + "provider": "amd", + "status": "error", + "error": str(e) + } diff --git a/backend/agents/base.py b/backend/agents/base.py new file mode 100644 index 0000000000000000000000000000000000000000..76dcc104345f0244dc38437dcee17c3cfb307e25 --- /dev/null +++ b/backend/agents/base.py @@ -0,0 +1,99 @@ +from abc import ABC, abstractmethod +from typing import Dict, Any, List, Optional +import json + +class BaseAgent(ABC): + def __init__(self, name: str, role: str, model: str, system_prompt: Optional[str] = None): + self.name = name + self.role = role + self.model = model + self.system_prompt = system_prompt or f"You are {name}, acting as a {role}." + + @abstractmethod + async def run(self, task_description: str, context: List[Dict[str, Any]], use_tools: bool = False, extra_context: str = "") -> Dict[str, Any]: + """ + Executes a task given its description and previous context. + Returns a dictionary containing the output data. + """ + pass + + def _format_context(self, context: List[Dict[str, Any]]) -> str: + """Helper to format previous task outputs for the current agent.""" + if not context: + return "No previous context available." + + formatted = "Previous tasks context:\n" + for item in context: + formatted += f"- Task: {item.get('title')}\n Output: {json.dumps(item.get('output_data', {}))}\n" + return formatted + + def _build_json_prompt(self, task_description: str, context: List[Dict[str, Any]], extra_context: str = "") -> str: + return f""" +Task: {task_description} + +{self._format_context(context)} + +{extra_context} + +Please provide your output as a JSON object. +""" + + def _build_chat_messages(self, task_description: str, context: List[Dict[str, Any]], extra_context: str = "") -> List[Dict[str, Any]]: + return [ + {"role": "system", "content": self.system_prompt}, + {"role": "user", "content": self._build_json_prompt(task_description, context, extra_context)} + ] + + def _parse_json_output(self, content: str) -> Any: + """Parse strict JSON first, then tolerate fenced or prefixed JSON.""" + if not content: + return {} + + try: + return json.loads(content) + except json.JSONDecodeError: + pass + + try: + if "```json" in content: + clean = content.split("```json", 1)[1].split("```", 1)[0].strip() + elif "```" in content: + clean = content.split("```", 1)[1].split("```", 1)[0].strip() + else: + object_start, array_start = content.find("{"), content.find("[") + starts = [index for index in (object_start, array_start) if index != -1] + start = min(starts) if starts else -1 + if start == array_start: + end = content.rfind("]") + else: + end = content.rfind("}") + clean = content[start:end + 1] if start != -1 and end != -1 else content + return json.loads(clean) + except Exception: + return {"raw_text": content} + + def _parse_tool_arguments(self, arguments: str | None) -> Dict[str, Any]: + parsed = self._parse_json_output(arguments or "{}") + return parsed if isinstance(parsed, dict) else {} + + async def _append_tool_results(self, messages: List[Dict[str, Any]], tool_calls: Any, tool_registry: Any) -> None: + for tool_call in tool_calls or []: + tool_name = tool_call.function.name + tool_args = self._parse_tool_arguments(tool_call.function.arguments) + tool_result = await tool_registry.call_tool(tool_name, tool_args) + + messages.append({ + "tool_call_id": tool_call.id, + "role": "tool", + "name": tool_name, + "content": str(tool_result), + }) + + def _result(self, provider: str, content: str) -> Dict[str, Any]: + return { + "agent_name": self.name, + "provider": provider, + "model": self.model, + "raw_output": content, + "data": self._parse_json_output(content) + } diff --git a/backend/agents/gemini_agent.py b/backend/agents/gemini_agent.py new file mode 100644 index 0000000000000000000000000000000000000000..8e31ced4c45277abac12a09edf57e11c601d7268 --- /dev/null +++ b/backend/agents/gemini_agent.py @@ -0,0 +1,37 @@ +from .base import BaseAgent +from typing import Dict, Any, List +from google import genai +from services.config import settings, config_service + +class GeminiAgent(BaseAgent): + """ + Agent implementation for Google Gemini using the new google-genai SDK. + """ + def __init__(self, name: str, role: str, model: str = "gemini-2.0-flash", system_prompt: str = None): + super().__init__(name, role, model, system_prompt) + + # Load dynamic config + self.provider_config = config_service.get_provider_config("gemini") + api_key = self.provider_config.get("api_key") or settings.GEMINI_API_KEY + + self.client = genai.Client(api_key=api_key) + self.temperature = self.provider_config.get("temperature", 0.7) + + async def run(self, task_description: str, context: List[Dict[str, Any]], use_tools: bool = False, extra_context: str = "") -> Dict[str, Any]: + full_prompt = f""" +System Instruction: {self.system_prompt} + +{self._build_json_prompt(task_description, context, extra_context)} +""" + + # Gemini 2.0 Flash is very fast. + response = await self.client.aio.models.generate( + model=self.model, + contents=full_prompt, + config={ + "temperature": self.temperature, + "response_mime_type": "application/json", + } + ) + + return self._result("gemini", response.text or "") diff --git a/backend/agents/groq_agent.py b/backend/agents/groq_agent.py new file mode 100644 index 0000000000000000000000000000000000000000..fb0d376b07d4053e28c1a5b39e557a175409bdaa --- /dev/null +++ b/backend/agents/groq_agent.py @@ -0,0 +1,57 @@ +import logging +from .base import BaseAgent +from typing import Dict, Any, List +import groq +from services.config import settings, config_service +from tools.registry import tool_registry + +logger = logging.getLogger("uvicorn") + +class GroqAgent(BaseAgent): + """ + Agent implementation for Groq. + """ + def __init__(self, name: str, role: str, model: str = "llama-3.3-70b-versatile", system_prompt: str = None): + super().__init__(name, role, model, system_prompt) + + # Load dynamic config + self.provider_config = config_service.get_provider_config("groq") + api_key = self.provider_config.get("api_key") or settings.GROQ_API_KEY + + self.client = groq.AsyncGroq(api_key=api_key) + self.temperature = self.provider_config.get("temperature", 0.7) + self.max_tokens = self.provider_config.get("max_tokens", 4096) + + async def run(self, task_description: str, context: List[Dict[str, Any]], use_tools: bool = False, extra_context: str = "") -> Dict[str, Any]: + messages = self._build_chat_messages(task_description, context, extra_context) + + kwargs = { + "model": self.model, + "messages": messages, + "temperature": self.temperature, + "max_tokens": self.max_tokens + } + + if use_tools: + kwargs["tools"] = tool_registry.get_tool_definitions() + kwargs["tool_choice"] = "auto" + + response = await self.client.chat.completions.create(**kwargs) + message = response.choices[0].message + + # Handle tool calls + if message.tool_calls: + messages.append(message) + await self._append_tool_results(messages, message.tool_calls, tool_registry) + + final_response = await self.client.chat.completions.create( + model=self.model, + messages=messages, + temperature=self.temperature, + max_tokens=self.max_tokens + ) + content = final_response.choices[0].message.content + else: + content = message.content or "" + + return self._result("groq", content) diff --git a/backend/agents/local_agent.py b/backend/agents/local_agent.py new file mode 100644 index 0000000000000000000000000000000000000000..008e5fb63ad5715ba21d4d90e760013000ae0076 --- /dev/null +++ b/backend/agents/local_agent.py @@ -0,0 +1,48 @@ +from .base import BaseAgent +from typing import Dict, Any, List +import httpx +from services.config import config_service + +class LocalAgent(BaseAgent): + """ + Agent implementation for Local LLMs (Ollama). + """ + def __init__(self, name: str, role: str, model: str = "llama3.1:8b", system_prompt: str = None): + super().__init__(name, role, model, system_prompt) + + # Load dynamic config + self.provider_config = config_service.get_provider_config("ollama") + self.base_url = self.provider_config.get("base_url", "http://localhost:11434") + self.temperature = self.provider_config.get("temperature", 0.7) + + async def run(self, task_description: str, context: List[Dict[str, Any]], use_tools: bool = False, extra_context: str = "") -> Dict[str, Any]: + full_prompt = f""" +System Instructions: {self.system_prompt} + +{self._build_json_prompt(task_description, context, extra_context)} +""" + + async with httpx.AsyncClient(timeout=60.0) as client: + try: + response = await client.post( + f"{self.base_url}/api/generate", + json={ + "model": self.model, + "prompt": full_prompt, + "stream": False, + "format": "json", + "options": { + "temperature": self.temperature + } + } + ) + response.raise_for_status() + result = response.json() + return self._result("local", result.get("response", "{}")) + except Exception as e: + return { + "agent_name": self.name, + "provider": "local", + "status": "error", + "error": f"Ollama connection failed: {str(e)}" + } diff --git a/backend/agents/openai_agent.py b/backend/agents/openai_agent.py new file mode 100644 index 0000000000000000000000000000000000000000..a3925a861be9d4774b52998f33c1598c6d0c3905 --- /dev/null +++ b/backend/agents/openai_agent.py @@ -0,0 +1,54 @@ +from .base import BaseAgent +from typing import Dict, Any, List +import openai +from services.config import settings, config_service +from tools.registry import tool_registry + +class OpenAIAgent(BaseAgent): + def __init__(self, name: str, role: str, model: str = "gpt-4o", system_prompt: str = None): + super().__init__(name, role, model, system_prompt) + + # Load dynamic config + self.provider_config = config_service.get_provider_config("openai") + api_key = self.provider_config.get("api_key") or settings.OPENAI_API_KEY + + self.client = openai.AsyncOpenAI(api_key=api_key) + self.temperature = self.provider_config.get("temperature", 0.7) + self.max_tokens = self.provider_config.get("max_tokens", 4096) + + async def run(self, task_description: str, context: List[Dict[str, Any]], use_tools: bool = False, extra_context: str = "") -> Dict[str, Any]: + messages = self._build_chat_messages(task_description, context, extra_context) + + request_kwargs = { + "model": self.model, + "messages": messages, + "response_format": {"type": "json_object"}, + "temperature": self.temperature, + "max_tokens": self.max_tokens + } + if use_tools: + request_kwargs["tools"] = tool_registry.get_tool_definitions() + request_kwargs["tool_choice"] = "auto" + + response = await self.client.chat.completions.create(**request_kwargs) + + message = response.choices[0].message + + # Handle tool calls + if message.tool_calls: + messages.append(message) + await self._append_tool_results(messages, message.tool_calls, tool_registry) + + # Second call after tool execution + final_response = await self.client.chat.completions.create( + model=self.model, + messages=messages, + response_format={"type": "json_object"}, + temperature=self.temperature, + max_tokens=self.max_tokens + ) + content = final_response.choices[0].message.content + else: + content = message.content + + return self._result("openai", content or "") diff --git a/backend/agents_debug.json b/backend/agents_debug.json new file mode 100644 index 0000000000000000000000000000000000000000..25bd52fe9a7facac6c9a603087bdc24abbf85788 --- /dev/null +++ b/backend/agents_debug.json @@ -0,0 +1 @@ +[{"id": "297ef087-89af-4e3b-8d80-c5c5c7499e3b", "name": "GPT-4o", "role": "General Intelligence", "api_provider": "openai", "model": "gpt-4o", "system_prompt": "You are a highly capable AI assistant.", "created_at": "2026-05-04T14:32:03.072888+00:00", "updated_at": "2026-05-04T14:32:03.072888+00:00", "user_id": null}, {"id": "64aebf0c-625a-4c6f-895d-a36274c4f9fd", "name": "AMD-4o", "role": "Performance Specialist", "api_provider": "amd", "model": "gpt-4o", "system_prompt": "You are a high-performance agent running on AMD infrastructure.", "created_at": "2026-05-04T14:32:03.072888+00:00", "updated_at": "2026-05-04T14:32:03.072888+00:00", "user_id": null}, {"id": "f7cc5a82-1e7d-4f21-9855-922fb82cd6f9", "name": "Llama-3-70B", "role": "Fast Logic", "api_provider": "groq", "model": "llama3-70b-8192", "system_prompt": "You are a fast and efficient reasoning agent.", "created_at": "2026-05-04T14:32:03.072888+00:00", "updated_at": "2026-05-04T14:32:03.072888+00:00", "user_id": null}, {"id": "1d988b3c-38c1-4132-85e1-82e7a4bc4f8a", "name": "Growth Hacker", "role": "Marketing Expert", "api_provider": "openai", "model": "gpt-4o", "system_prompt": "You are a Growth Hacker focused on low-cost, high-impact strategies.", "created_at": "2026-05-04T15:50:52.628388+00:00", "updated_at": "2026-05-04T15:50:52.628388+00:00", "user_id": "483025be-ca4b-4de3-aa80-9eb39dbd3578"}, {"id": "7b056c90-f4a6-4629-81b1-f4316b76d091", "name": "Growth Hacker", "role": "Marketing Expert", "api_provider": "openai", "model": "gpt-4o", "system_prompt": "You are a Growth Hacker focused on low-cost, high-impact strategies.", "created_at": "2026-05-04T16:22:10.993123+00:00", "updated_at": "2026-05-04T16:22:10.993123+00:00", "user_id": "483025be-ca4b-4de3-aa80-9eb39dbd3578"}, {"id": "138d7d29-b2c0-4ffb-b89f-1a0965dca6b6", "name": "Planner", "role": "Project Planner", "api_provider": "openai", "model": "gpt-4o", "system_prompt": "You decompose goals into clear, ordered implementation tasks.", "created_at": "2026-05-04T18:06:05.280562+00:00", "updated_at": "2026-05-04T18:06:05.280562+00:00", "user_id": "483025be-ca4b-4de3-aa80-9eb39dbd3578"}, {"id": "edfc99cf-a70c-42e0-a2f6-4508bb6aac33", "name": "Builder", "role": "Implementation Agent", "api_provider": "openai", "model": "gpt-4o", "system_prompt": "You implement practical, production-oriented solutions with concise output.", "created_at": "2026-05-04T18:06:05.280562+00:00", "updated_at": "2026-05-04T18:06:05.280562+00:00", "user_id": "483025be-ca4b-4de3-aa80-9eb39dbd3578"}, {"id": "5ef6c6f3-fc4a-40ba-abe8-7630fefcece2", "name": "Reviewer", "role": "Quality Reviewer", "api_provider": "openai", "model": "gpt-4o", "system_prompt": "You review outputs for correctness, security, completeness, and missing tests.", "created_at": "2026-05-04T18:06:05.280562+00:00", "updated_at": "2026-05-04T18:06:05.280562+00:00", "user_id": "483025be-ca4b-4de3-aa80-9eb39dbd3578"}] \ No newline at end of file diff --git a/backend/api/index.py b/backend/api/index.py new file mode 100644 index 0000000000000000000000000000000000000000..bbbc533e8f7e4542abbb527bfbbf2c4b195cffb9 --- /dev/null +++ b/backend/api/index.py @@ -0,0 +1 @@ +from main import app diff --git a/backend/main.py b/backend/main.py new file mode 100644 index 0000000000000000000000000000000000000000..fae58c1488657a8353fa2e1c242b96ba66d09d5c --- /dev/null +++ b/backend/main.py @@ -0,0 +1,89 @@ +from fastapi import FastAPI +from fastapi.middleware.cors import CORSMiddleware +from fastapi.responses import FileResponse, Response +import os +import json +from pathlib import Path +from dotenv import load_dotenv +import sentry_sdk + +# Load environment variables +load_dotenv() +FRONTEND_DIST = Path(__file__).resolve().parent.parent / "frontend" / "dist" + +# Sentry Initialization +SENTRY_DSN = os.getenv("SENTRY_DSN") +if SENTRY_DSN: + sentry_sdk.init( + dsn=SENTRY_DSN, + traces_sample_rate=1.0, + profiles_sample_rate=1.0, + ) + +app = FastAPI( + title="Aubm API", + description="Enterprise-Grade AI Agent Orchestration & Collaboration Platform", + version="0.1.0" +) + +# CORS Configuration +allowed_origins = os.getenv("ALLOWED_ORIGINS", "*").split(",") +app.add_middleware( + CORSMiddleware, + allow_origins=allowed_origins, + allow_credentials=True, + allow_methods=["*"], + allow_headers=["*"], +) + +@app.get("/") +async def root(): + index_path = FRONTEND_DIST / "index.html" + if index_path.exists(): + return FileResponse(index_path) + + return { + "status": "online", + "message": "Aubm API is operational", + "version": "0.1.0" + } + +# Placeholder for routers +from routers import agent_runner, orchestrator, monitoring + +app.include_router(agent_runner.router, prefix="/tasks", tags=["Tasks"]) +app.include_router(orchestrator.router, prefix="/orchestrator", tags=["Orchestration"]) +app.include_router(monitoring.router, prefix="/monitoring", tags=["Monitoring"]) + +@app.get("/runtime-config.js", include_in_schema=False) +async def runtime_config(): + config = { + "apiUrl": os.getenv("VITE_API_URL", ""), + "supabaseUrl": os.getenv("VITE_SUPABASE_URL", os.getenv("SUPABASE_URL", "")), + "supabaseAnonKey": os.getenv("VITE_SUPABASE_ANON_KEY", os.getenv("SUPABASE_ANON_KEY", "")), + "sentryDsn": os.getenv("VITE_SENTRY_DSN", os.getenv("SENTRY_DSN", "")), + } + return Response( + content=f"window.__AUBM_CONFIG__ = {json.dumps(config)};", + media_type="application/javascript", + ) + +@app.get("/{path:path}", include_in_schema=False) +async def serve_frontend(path: str): + if not FRONTEND_DIST.exists(): + return await root() + + requested_path = FRONTEND_DIST / path + if requested_path.is_file(): + return FileResponse(requested_path) + + index_path = FRONTEND_DIST / "index.html" + if index_path.exists(): + return FileResponse(index_path) + + return await root() + +if __name__ == "__main__": + import uvicorn + from services.config import settings + uvicorn.run("main:app", host="0.0.0.0", port=settings.PORT, reload=True) diff --git a/backend/project_debug.json b/backend/project_debug.json new file mode 100644 index 0000000000000000000000000000000000000000..a4216b8a2c9066f0de8302f3acef633c030839fe --- /dev/null +++ b/backend/project_debug.json @@ -0,0 +1 @@ +{"id": "53f39562-09aa-447b-b251-3844e1415d4c", "name": "Commercial analysis", "description": "I want to evaluate differents applications similar to this app", "context": "search in internet", "owner_id": "483025be-ca4b-4de3-aa80-9eb39dbd3578", "status": "active", "is_public": true, "created_at": "2026-05-04T16:38:03.872534+00:00", "updated_at": "2026-05-04T16:38:03.872534+00:00", "team_id": null} \ No newline at end of file diff --git a/backend/requirements.txt b/backend/requirements.txt new file mode 100644 index 0000000000000000000000000000000000000000..d272a518ec8a407910636cf227dbedd58d0cd306 --- /dev/null +++ b/backend/requirements.txt @@ -0,0 +1,19 @@ +fastapi +uvicorn[standard] +supabase +openai +groq +google-genai +playwright +folium +python-dotenv +pydantic +pydantic-settings +httpx +jinja2 +python-multipart +reportlab +pandas +openpyxl +psutil +sentry-sdk[fastapi] diff --git a/backend/routers/__init__.py b/backend/routers/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..873f7bbbe945dde0325ebbbd742d46dd672befa0 --- /dev/null +++ b/backend/routers/__init__.py @@ -0,0 +1 @@ +# Routers package diff --git a/backend/routers/agent_runner.py b/backend/routers/agent_runner.py new file mode 100644 index 0000000000000000000000000000000000000000..7da3e425230bea21bbb7eb9725d440cb64418e41 --- /dev/null +++ b/backend/routers/agent_runner.py @@ -0,0 +1,77 @@ +from fastapi import APIRouter, HTTPException, BackgroundTasks +from services.supabase_service import supabase +from services.agent_runner_service import AgentRunnerService +import logging + +router = APIRouter() +logger = logging.getLogger("uvicorn") + +def update_task_status(task_id: str, status: str): + result = ( + supabase.table("tasks") + .update({"status": status}) + .eq("id", task_id) + .select("id,project_id,status") + .single() + .execute() + ) + if not result.data: + raise HTTPException(status_code=404, detail="Task not found or status was not updated") + + project_id = result.data.get("project_id") + if project_id: + task_result = ( + supabase.table("tasks") + .select("id,status") + .eq("project_id", project_id) + .execute() + ) + tasks = task_result.data or [] + if status == "done" and tasks and all(task.get("status") == "done" for task in tasks): + supabase.table("projects").update({"status": "completed"}).eq("id", project_id).execute() + elif status != "done": + supabase.table("projects").update({"status": "active"}).eq("id", project_id).execute() + + return result.data + +@router.post("/{task_id}/run") +async def run_task(task_id: str, background_tasks: BackgroundTasks): + """ + Triggers the execution of a specific task. + """ + # 1. Fetch task data + task_res = supabase.table("tasks").select("*, project:projects(*)").eq("id", task_id).single().execute() + if not task_res.data: + raise HTTPException(status_code=404, detail="Task not found") + + task = task_res.data + + # 2. Check if agent is assigned + agent_id = task.get("assigned_agent_id") + if not agent_id: + raise HTTPException(status_code=400, detail="No agent assigned to this task") + + # 3. Fetch agent data + agent_res = supabase.table("agents").select("*").eq("id", agent_id).single().execute() + if not agent_res.data: + raise HTTPException(status_code=404, detail="Assigned agent not found") + + agent_data = agent_res.data + + # 4. Update task status to in_progress + supabase.table("tasks").update({"status": "in_progress"}).eq("id", task_id).execute() + + # 5. Run in background + background_tasks.add_task(AgentRunnerService.execute_agent_logic, task, agent_data) + + return {"message": "Task execution started", "task_id": task_id} + +@router.post("/{task_id}/approve") +async def approve_task(task_id: str): + task = update_task_status(task_id, "done") + return {"message": "Task approved", "task": task} + +@router.post("/{task_id}/reject") +async def reject_task(task_id: str): + task = update_task_status(task_id, "todo") + return {"message": "Task rejected", "task": task} diff --git a/backend/routers/monitoring.py b/backend/routers/monitoring.py new file mode 100644 index 0000000000000000000000000000000000000000..0fcbdb77e314eae3838af4211f7baf388ba20118 --- /dev/null +++ b/backend/routers/monitoring.py @@ -0,0 +1,70 @@ +from datetime import datetime, timezone +from fastapi import APIRouter +from services.supabase_service import supabase + +router = APIRouter() + + +def _count_table(table_name: str) -> int: + response = supabase.table(table_name).select("id", count="exact").limit(1).execute() + return response.count or 0 + + +@router.get("/summary") +async def monitoring_summary(): + """ + Lightweight operational summary for dashboards and uptime checks. + """ + checks = { + "api": "ok", + "database": "ok", + } + + counts = { + "projects": 0, + "tasks": 0, + "agents": 0, + "task_runs": 0, + "failed_tasks": 0, + "pending_reviews": 0, + } + + try: + counts["projects"] = _count_table("projects") + counts["tasks"] = _count_table("tasks") + counts["agents"] = _count_table("agents") + counts["task_runs"] = _count_table("task_runs") + counts["failed_tasks"] = ( + supabase.table("tasks") + .select("id", count="exact") + .eq("status", "failed") + .limit(1) + .execute() + .count + or 0 + ) + counts["pending_reviews"] = ( + supabase.table("tasks") + .select("id", count="exact") + .eq("status", "awaiting_approval") + .limit(1) + .execute() + .count + or 0 + ) + except Exception as exc: + checks["database"] = "error" + return { + "status": "degraded", + "checks": checks, + "counts": counts, + "error": str(exc), + "timestamp": datetime.now(timezone.utc).isoformat(), + } + + return { + "status": "ok", + "checks": checks, + "counts": counts, + "timestamp": datetime.now(timezone.utc).isoformat(), + } diff --git a/backend/routers/orchestrator.py b/backend/routers/orchestrator.py new file mode 100644 index 0000000000000000000000000000000000000000..00fde01f9ab13006cf75b05c3b75bffec73ca98c --- /dev/null +++ b/backend/routers/orchestrator.py @@ -0,0 +1,153 @@ +from fastapi import APIRouter, BackgroundTasks, HTTPException +from fastapi.responses import Response +from services.orchestrator_service import orchestrator_service +from pydantic import BaseModel +from io import BytesIO +from reportlab.lib.pagesizes import letter +from reportlab.lib.styles import getSampleStyleSheet +from reportlab.platypus import SimpleDocTemplate, Paragraph, Spacer +from reportlab.graphics.shapes import Drawing +from reportlab.graphics.charts.barcharts import VerticalBarChart +from reportlab.graphics.charts.piecharts import Pie +from reportlab.lib import colors +from reportlab.lib.units import inch +import re + +router = APIRouter() + +def _safe_filename(value: str) -> str: + return re.sub(r"[^a-zA-Z0-9_-]+", "_", value).strip("_").lower() or "report" + +def _bar_chart(title: str, rows: list[dict]) -> Drawing: + drawing = Drawing(460, 180) + chart = VerticalBarChart() + chart.x = 40 + chart.y = 35 + chart.height = 110 + chart.width = 380 + chart.data = [[row["value"] for row in rows]] + chart.categoryAxis.categoryNames = [row["label"] for row in rows] + chart.valueAxis.valueMin = 0 + chart.valueAxis.valueMax = max([row["value"] for row in rows] + [1]) + chart.valueAxis.valueStep = max(1, round(chart.valueAxis.valueMax / 4)) + chart.bars[0].fillColor = colors.HexColor("#14b8a6") + drawing.add(chart) + return drawing + +def _pie_chart(rows: list[dict]) -> Drawing: + drawing = Drawing(460, 180) + pie = Pie() + pie.x = 150 + pie.y = 20 + pie.width = 140 + pie.height = 140 + pie.data = [row["value"] for row in rows] + pie.labels = [row["label"] for row in rows] + pie.slices.strokeWidth = 0.5 + palette = [colors.HexColor("#22c55e"), colors.HexColor("#facc15"), colors.HexColor("#ef4444")] + for index, color in enumerate(palette[:len(rows)]): + pie.slices[index].fillColor = color + drawing.add(pie) + return drawing + +def _report_pdf_bytes(title: str, content: str, charts: dict | None = None) -> bytes: + buffer = BytesIO() + doc = SimpleDocTemplate( + buffer, + pagesize=letter, + rightMargin=0.7 * inch, + leftMargin=0.7 * inch, + topMargin=0.7 * inch, + bottomMargin=0.7 * inch, + ) + styles = getSampleStyleSheet() + story = [Paragraph(title, styles["Title"]), Spacer(1, 0.2 * inch)] + if charts: + story.extend([ + Paragraph("Project Charts", styles["Heading2"]), + Paragraph("Completion Status", styles["Heading3"]), + _pie_chart(charts.get("status", [])), + Spacer(1, 0.1 * inch), + Paragraph("Task Categories", styles["Heading3"]), + _bar_chart("Task Categories", charts.get("categories", [])), + Spacer(1, 0.1 * inch), + Paragraph("Project Scores", styles["Heading3"]), + _bar_chart("Project Scores", charts.get("scores", [])), + Spacer(1, 0.2 * inch), + ]) + + for raw_line in content.splitlines(): + line = raw_line.strip() + if not line: + story.append(Spacer(1, 0.1 * inch)) + continue + if line.startswith("# "): + story.append(Paragraph(line[2:], styles["Title"])) + elif line.startswith("## "): + story.append(Paragraph(line[3:], styles["Heading2"])) + elif line.startswith("### "): + story.append(Paragraph(line[4:], styles["Heading3"])) + elif line.startswith("- "): + story.append(Paragraph(f"• {line[2:]}", styles["BodyText"])) + else: + story.append(Paragraph(line, styles["BodyText"])) + + doc.build(story) + return buffer.getvalue() + +class DebateRequest(BaseModel): + + task_id: str + agent_a_id: str + agent_b_id: str + +@router.post("/debate") +async def start_debate(request: DebateRequest, background_tasks: BackgroundTasks): + """ + Starts a debate between two agents for a specific task. + """ + background_tasks.add_task( + orchestrator_service.run_debate, + request.task_id, + request.agent_a_id, + request.agent_b_id + ) + return {"message": "Debate started in background"} + + +@router.post("/projects/{project_id}/run") +async def run_project_orchestrator(project_id: str, background_tasks: BackgroundTasks): + """ + Runs all queued tasks for a project in priority order. + """ + background_tasks.add_task(orchestrator_service.run_project, project_id) + return {"message": "Project orchestrator started", "project_id": project_id} + +@router.get("/projects/{project_id}/final-report") +async def get_project_final_report(project_id: str, variant: str = "full"): + """ + Builds a consolidated report from all approved task outputs. + """ + try: + return await orchestrator_service.build_final_report(project_id, variant) + except ValueError as exc: + raise HTTPException(status_code=400, detail=str(exc)) from exc + +@router.get("/projects/{project_id}/final-report.pdf") +async def download_project_final_report_pdf(project_id: str, variant: str = "full"): + """ + Downloads the selected report variant as a PDF. + """ + try: + result = await orchestrator_service.build_final_report(project_id, variant) + except ValueError as exc: + raise HTTPException(status_code=400, detail=str(exc)) from exc + + title = f"{result['project_name']} - {result['variant']} report" + pdf = _report_pdf_bytes(title, result["report"], result.get("charts")) + filename = f"{_safe_filename(result['project_name'])}_{_safe_filename(result['variant'])}.pdf" + return Response( + content=pdf, + media_type="application/pdf", + headers={"Content-Disposition": f'attachment; filename="{filename}"'} + ) diff --git a/backend/services/agent_runner_service.py b/backend/services/agent_runner_service.py new file mode 100644 index 0000000000000000000000000000000000000000..797ba710ad44861914fd95bf4bb1cff909bc3573 --- /dev/null +++ b/backend/services/agent_runner_service.py @@ -0,0 +1,116 @@ +import logging +from datetime import datetime, timezone +from services.supabase_service import supabase +from services.audit_service import audit_service +from agents.agent_factory import AgentFactory +from services.semantic_backprop import semantic_backprop + +logger = logging.getLogger("agent_runner_service") + +class AgentRunnerService: + @staticmethod + async def run_agent_task( + task: dict, + agent_data: dict, + *, + include_semantic_context: bool = False, + start_action: str = "execution_start", + start_content: str | None = None, + complete_action: str = "execution_complete", + complete_content: str = "Agent successfully completed the task and produced output." + ) -> tuple[dict, str]: + task_id = task["id"] + project_id = task["project_id"] + run_id = None + + supabase.table("tasks").update({"status": "in_progress"}).eq("id", task_id).execute() + + try: + run_res = supabase.table("task_runs").insert({ + "task_id": task_id, + "agent_id": agent_data["id"], + "status": "running" + }).execute() + run_id = run_res.data[0]["id"] + + agent = AgentFactory.get_agent( + provider=agent_data["api_provider"], + name=agent_data["name"], + role=agent_data["role"], + model=agent_data["model"], + system_prompt=agent_data.get("system_prompt") + ) + + context_res = supabase.table("tasks").select("title, output_data") \ + .eq("project_id", project_id) \ + .eq("status", "done") \ + .execute() + context = context_res.data if context_res.data else [] + + extra_context = "" + if include_semantic_context: + extra_context = await semantic_backprop.get_project_context(project_id, task_id) + + supabase.table("agent_logs").insert({ + "task_id": task_id, + "run_id": run_id, + "action": start_action, + "content": start_content or f"Agent {agent_data['name']} starting task: {task['title']}" + }).execute() + + result = await agent.run(task.get("description") or task["title"], context, extra_context=extra_context) + if result.get("status") == "error": + raise RuntimeError(result.get("error") or "Agent returned an error result.") + + supabase.table("tasks").update({ + "status": "awaiting_approval", + "output_data": result + }).eq("id", task_id).execute() + + supabase.table("task_runs").update({ + "status": "completed", + "finished_at": datetime.now(timezone.utc).isoformat() + }).eq("id", run_id).execute() + + supabase.table("agent_logs").insert({ + "task_id": task_id, + "run_id": run_id, + "action": complete_action, + "content": complete_content + }).execute() + + return result, run_id + + except Exception as e: + logger.error(f"Error executing task {task_id}: {str(e)}") + if run_id: + supabase.table("task_runs").update({ + "status": "failed", + "finished_at": datetime.now(timezone.utc).isoformat() + }).eq("id", run_id).execute() + supabase.table("tasks").update({ + "status": "failed", + "output_data": {"error": str(e)} + }).eq("id", task_id).execute() + raise e + + @staticmethod + async def execute_agent_logic(task: dict, agent_data: dict): + task_id = task["id"] + try: + await AgentRunnerService.run_agent_task( + task, + agent_data, + include_semantic_context=True + ) + + await audit_service.log_action( + user_id=None, + action="agent_task_completed", + agent_id=agent_data["id"], + task_id=task_id, + metadata={"model": agent_data["model"]} + ) + + except Exception: + raise diff --git a/backend/services/audit_service.py b/backend/services/audit_service.py new file mode 100644 index 0000000000000000000000000000000000000000..df517c90c55e37906401b185c40310d6ba72fdb9 --- /dev/null +++ b/backend/services/audit_service.py @@ -0,0 +1,31 @@ +from services.supabase_service import supabase +from typing import Dict, Any, Optional +import logging + +logger = logging.getLogger("uvicorn") + +class AuditService: + @staticmethod + async def log_action( + user_id: Optional[str], + action: str, + agent_id: Optional[str] = None, + task_id: Optional[str] = None, + metadata: Optional[Dict[str, Any]] = None + ): + """ + Records an action in the audit_logs table. + """ + try: + data = { + "user_id": user_id, + "action": action, + "agent_id": agent_id, + "task_id": task_id, + "metadata": metadata or {} + } + supabase.table("audit_logs").insert(data).execute() + except Exception as e: + logger.error(f"AuditService error: {str(e)}") + +audit_service = AuditService() diff --git a/backend/services/config.py b/backend/services/config.py new file mode 100644 index 0000000000000000000000000000000000000000..8d25d6b3cacca14c5fc3bf08bb081c8cc1f1112e --- /dev/null +++ b/backend/services/config.py @@ -0,0 +1,98 @@ +import os +from pydantic_settings import BaseSettings +from typing import Optional, Dict, Any +from supabase import create_client, Client + +class Settings(BaseSettings): + # Supabase + SUPABASE_URL: str = os.getenv("SUPABASE_URL", "") + SUPABASE_SERVICE_ROLE_KEY: str = os.getenv("SUPABASE_SERVICE_ROLE_KEY", "") + + # AI Providers + OPENAI_API_KEY: Optional[str] = os.getenv("OPENAI_API_KEY") + GROQ_API_KEY: Optional[str] = os.getenv("GROQ_API_KEY") + GEMINI_API_KEY: Optional[str] = os.getenv("GEMINI_API_KEY") + ANTHROPIC_API_KEY: Optional[str] = os.getenv("ANTHROPIC_API_KEY") + AMD_API_KEY: Optional[str] = os.getenv("AMD_API_KEY") + + # App Config + TASK_QUEUE_EMBEDDED_WORKER: bool = os.getenv("TASK_QUEUE_EMBEDDED_WORKER", "true").lower() == "true" + OUTPUT_LANGUAGE: str = os.getenv("OUTPUT_LANGUAGE", "en") + PORT: int = int(os.getenv("PORT", 8000)) + SENTRY_DSN: Optional[str] = os.getenv("SENTRY_DSN") + + class Config: + env_file = ".env" + +settings = Settings() + +class ConfigService: + """ + Manages application-wide settings stored in Supabase with local fallback defaults. + Borrowed from AgentCollab for enhanced flexibility. + """ + _cache: Dict[str, Any] = {} + _supabase: Client = None + + @classmethod + def _get_supabase(cls): + if not cls._supabase: + if not settings.SUPABASE_URL or not settings.SUPABASE_SERVICE_ROLE_KEY: + return None + cls._supabase = create_client(settings.SUPABASE_URL, settings.SUPABASE_SERVICE_ROLE_KEY) + return cls._supabase + + # Defaults used when DB has no config entry for a provider + _DEFAULTS: Dict[str, Any] = { + "groq": {"enabled": True, "default_model": "llama-3.3-70b-versatile", "temperature": 0.7, "max_tokens": 4096}, + "openai": {"enabled": True, "default_model": "gpt-4o", "temperature": 0.7, "max_tokens": 4096}, + "openrouter": {"enabled": True, "default_model": "google/gemini-2.0-flash", "temperature": 0.7, "max_tokens": 8192}, + "gemini": {"enabled": True, "default_model": "gemini-2.0-flash", "temperature": 0.7, "max_tokens": 8192}, + "amd": {"enabled": True, "default_model": "gpt-4o", "temperature": 0.7, "max_tokens": 4096, "base_url": "https://inference.do-ai.run/v1"}, + "ollama": {"enabled": True, "default_model": "llama3.1:8b", "temperature": 0.7, "base_url": "http://localhost:11434"}, + } + + @classmethod + def get_provider_config(cls, provider: str) -> Dict[str, Any]: + """Returns config for a provider from cache, DB, then defaults.""" + cache_key = f"provider:{provider}" + if cache_key in cls._cache: + return cls._cache[cache_key] + + db = cls._get_supabase() + if db: + try: + resp = db.table("app_config").select("*").eq("key", provider).execute() + if resp.data and len(resp.data) > 0: + cls._cache[cache_key] = resp.data[0]["value"] + return cls._cache[cache_key] + except Exception: + pass # Fall through to defaults + + result = cls._DEFAULTS.get(provider, {}) + cls._cache[cache_key] = result + return result + + @classmethod + def get_global_setting(cls, key: str, default: Any = None) -> Any: + cache_key = f"global:{key}" + if cache_key in cls._cache: + return cls._cache[cache_key] + + db = cls._get_supabase() + if db: + try: + resp = db.table("app_config").select("*").eq("key", key).execute() + if resp.data and len(resp.data) > 0: + cls._cache[cache_key] = resp.data[0]["value"] + return cls._cache[cache_key] + except Exception: + pass + + return default + + @classmethod + def invalidate_cache(cls) -> None: + cls._cache.clear() + +config_service = ConfigService() diff --git a/backend/services/orchestrator_service.py b/backend/services/orchestrator_service.py new file mode 100644 index 0000000000000000000000000000000000000000..c17027a3e7772a25c0b9aca7b4d9684145a4fada --- /dev/null +++ b/backend/services/orchestrator_service.py @@ -0,0 +1,531 @@ +from services.supabase_service import supabase +from agents.agent_factory import AgentFactory +import json +import logging +from services.config import settings +from services.agent_runner_service import AgentRunnerService + +logger = logging.getLogger("uvicorn") + +def _humanize_key(key: str) -> str: + return key.replace("_", " ").replace("-", " ").strip().title() + +def _format_value_for_report(value, level: int = 0) -> list[str]: + if value is None: + return ["Not specified."] + + if isinstance(value, (str, int, float, bool)): + return [str(value)] + + if isinstance(value, list): + lines: list[str] = [] + for item in value: + if isinstance(item, dict): + item_lines = _format_value_for_report(item, level + 1) + if item_lines: + lines.append(f"- {item_lines[0]}") + lines.extend(f" {line}" for line in item_lines[1:]) + elif isinstance(item, list): + nested = _format_value_for_report(item, level + 1) + lines.extend(f"- {line}" for line in nested) + else: + lines.append(f"- {item}") + return lines or ["No items."] + + if isinstance(value, dict): + lines: list[str] = [] + for key, item in value.items(): + title = _humanize_key(str(key)) + if isinstance(item, dict): + lines.append(f"{title}:") + lines.extend(f" {line}" for line in _format_value_for_report(item, level + 1)) + elif isinstance(item, list): + lines.append(f"{title}:") + lines.extend(f" {line}" for line in _format_value_for_report(item, level + 1)) + else: + lines.append(f"{title}: {item}") + return lines or ["No details."] + + return [str(value)] + +def _format_output_for_report(output_data) -> str: + if not output_data: + return "No approved output was saved for this task." + + if isinstance(output_data, dict): + primary = ( + output_data.get("data") + or output_data.get("final") + or output_data.get("raw_output") + or output_data + ) + else: + primary = output_data + + if isinstance(primary, str): + return primary + + return "\n".join(_format_value_for_report(primary)) + +def _output_text(output_data) -> str: + return _format_output_for_report(output_data).lower() + +def _build_report_charts(tasks: list[dict]) -> dict: + total = len(tasks) + done = sum(1 for task in tasks if task.get("status") == "done") + failed = sum(1 for task in tasks if task.get("status") == "failed") + pending = max(total - done - failed, 0) + + priority_counts: dict[str, int] = {} + for task in tasks: + priority = str(task.get("priority") if task.get("priority") is not None else 0) + priority_counts[priority] = priority_counts.get(priority, 0) + 1 + + categories = { + "Market": ("market", "competitor", "customer", "segment", "demand"), + "Product": ("product", "mvp", "feature", "design", "scope"), + "Revenue": ("revenue", "price", "pricing", "margin", "commission"), + "Operations": ("operation", "process", "logistic", "support", "fulfillment"), + "Risk": ("risk", "threat", "failure", "weak", "mitigation") + } + category_counts = {name: 0 for name in categories} + risk_mentions = 0 + + for task in tasks: + text = f"{task.get('title', '')} {task.get('description', '')} {_output_text(task.get('output_data'))}" + risk_mentions += sum(text.count(term) for term in categories["Risk"]) + for category, terms in categories.items(): + if any(term in text for term in terms): + category_counts[category] += 1 + + opportunity_score = 85 if total and done == total else round((done / total) * 85) if total else 0 + risk_score = min(95, 35 + risk_mentions * 3) + readiness_score = round((done / total) * 100) if total else 0 + + return { + "status": [ + {"label": "Approved", "value": done}, + {"label": "Pending", "value": pending}, + {"label": "Failed", "value": failed} + ], + "priorities": [ + {"label": f"Priority {key}", "value": value} + for key, value in sorted(priority_counts.items(), key=lambda item: int(item[0]) if item[0].isdigit() else 0, reverse=True) + ], + "categories": [ + {"label": label, "value": value} + for label, value in category_counts.items() + ], + "scores": [ + {"label": "Readiness", "value": readiness_score}, + {"label": "Opportunity", "value": opportunity_score}, + {"label": "Risk", "value": risk_score} + ] + } + +REPORT_VARIANTS = { + "full": { + "title": "Final Report", + "agent_terms": [], + "fallback_heading": "Approved Work Summary", + "prompt": "" + }, + "brief": { + "title": "Short Brief", + "agent_terms": ["brief", "summary", "writer"], + "fallback_heading": "Short Brief", + "prompt": ( + "Create a concise executive brief from the approved project work. " + "Use plain English, no JSON, no code blocks. Include: objective, main findings, recommended next steps, and key risks. " + "Keep it short and decision-oriented." + ) + }, + "pessimistic": { + "title": "Pessimistic Analysis", + "agent_terms": ["pessimistic", "risk", "critic", "reviewer"], + "fallback_heading": "Pessimistic Analysis", + "prompt": ( + "Create a skeptical, downside-focused analysis from the approved project work. " + "Use plain English, no JSON, no code blocks. Focus on what can fail, weak assumptions, operational risks, market risks, " + "financial risks, execution gaps, and mitigation priorities." + ) + } +} + +class OrchestratorService: + """ + Handles complex multi-agent workflows like Debates and Peer Reviews. + """ + + async def run_debate(self, task_id: str, agent_a_id: str, agent_b_id: str): + """ + Executes a debate between two agents for a specific task. + """ + try: + # 1. Fetch task and agents + task = supabase.table("tasks").select("*").eq("id", task_id).single().execute().data + agent_a = supabase.table("agents").select("*").eq("id", agent_a_id).single().execute().data + agent_b = supabase.table("agents").select("*").eq("id", agent_b_id).single().execute().data + + # 2. Agent A generates initial response + inst_a = AgentFactory.get_agent(agent_a["api_provider"], agent_a["name"], agent_a["role"], agent_a["model"]) + initial_res = await inst_a.run(task["description"], []) + + # 3. Agent B reviews and critiques + inst_b = AgentFactory.get_agent(agent_b["api_provider"], agent_b["name"], agent_b["role"], agent_b["model"]) + critique_prompt = f"Review the following output for the task: '{task['description']}'. Provide constructive critique and identify errors.\n\nOutput: {json.dumps(initial_res['data'])}" + critique_res = await inst_b.run(critique_prompt, []) + + # 4. Agent A refines based on critique + refinement_prompt = f"Refine your initial output for the task: '{task['description']}' based on this critique: {json.dumps(critique_res['data'])}" + final_res = await inst_a.run(refinement_prompt, []) + + # 5. Save final result + supabase.table("tasks").update({ + "status": "done", + "output_data": { + "initial": initial_res["data"], + "critique": critique_res["data"], + "final": final_res["data"] + } + }).eq("id", task_id).execute() + + logger.info(f"Debate completed for task {task_id}") + + except Exception as e: + logger.error(f"Debate failed: {str(e)}") + supabase.table("tasks").update({"status": "failed"}).eq("id", task_id).execute() + + async def run_project(self, project_id: str): + """ + Runs queued tasks in a project sequentially. Unassigned tasks are assigned + to the first available project-owner or global agent. + """ + project = supabase.table("projects").select("*").eq("id", project_id).single().execute().data + if not project: + raise ValueError(f"Project not found: {project_id}") + + owner_id = project.get("owner_id") + tasks = ( + supabase.table("tasks") + .select("*") + .eq("project_id", project_id) + .eq("status", "todo") + .order("priority", desc=True) + .order("created_at", desc=False) + .execute() + .data + or [] + ) + + # Automatic Decomposition: If no tasks exist, try to decompose the project first + if not tasks: + logger.info(f"No tasks found for project {project_id}. Triggering auto-decomposition.") + await self.decompose_project(project_id) + # Re-fetch tasks after decomposition + tasks = ( + supabase.table("tasks") + .select("*") + .eq("project_id", project_id) + .in_("status", ["todo", "failed"]) + .order("priority", desc=True) + .order("created_at", desc=False) + .execute() + .data + or [] + ) + + agents = supabase.table("agents").select("*").execute().data or [] + available_agents = [ + agent for agent in agents + if agent.get("user_id") in (None, owner_id) + ] + + completed = 0 + failed = 0 + + for task in tasks: + try: + agent_data = self._resolve_agent(task, available_agents) + if not agent_data: + raise ValueError("No available agent for task") + + if not task.get("assigned_agent_id"): + supabase.table("tasks").update({ + "assigned_agent_id": agent_data["id"] + }).eq("id", task["id"]).execute() + task["assigned_agent_id"] = agent_data["id"] + + await self._run_task(task, agent_data) + completed += 1 + except Exception as exc: + failed += 1 + logger.error(f"Project orchestration task failed: {str(exc)}") + supabase.table("tasks").update({ + "status": "failed", + "output_data": {"error": str(exc)} + }).eq("id", task["id"]).execute() + + return { + "project_id": project_id, + "queued_tasks": len(tasks), + "completed": completed, + "failed": failed, + } + + def _select_report_agent(self, project: dict, variant: str): + config = REPORT_VARIANTS.get(variant, REPORT_VARIANTS["full"]) + terms = config["agent_terms"] + if not terms: + return None + + owner_id = project.get("owner_id") + agents = supabase.table("agents").select("*").execute().data or [] + available_agents = [ + agent for agent in agents + if agent.get("user_id") in (None, owner_id) + ] + + return next( + ( + agent for agent in available_agents + if any(term in f"{agent.get('name', '')} {agent.get('role', '')}".lower() for term in terms) + ), + available_agents[0] if available_agents else None + ) + + async def _generate_report_variant_with_agent(self, project: dict, report: str, variant: str): + agent_data = self._select_report_agent(project, variant) + if not agent_data: + return None + + config = REPORT_VARIANTS[variant] + agent = AgentFactory.get_agent( + provider=agent_data["api_provider"], + name=agent_data["name"], + role=agent_data["role"], + model=agent_data["model"], + system_prompt=agent_data.get("system_prompt") + ) + result = await agent.run(f"{config['prompt']}\n\nApproved project material:\n{report}", []) + if result.get("status") == "error": + raise RuntimeError(result.get("error") or "Report agent returned an error.") + + data = result.get("data") + if isinstance(data, dict): + for key in ("brief", "analysis", "report", "summary", "content"): + if isinstance(data.get(key), str): + return data[key] + return "\n".join(_format_value_for_report(data)) + if isinstance(data, str): + return data + return result.get("raw_output") + + def _build_fallback_variant(self, project: dict, tasks: list[dict], variant: str): + config = REPORT_VARIANTS[variant] + lines = [ + f"# {config['title']}: {project['name']}", + "", + "## Project Brief", + project.get("description") or "No project description provided.", + "", + f"## {config['fallback_heading']}" + ] + + if variant == "brief": + lines.extend([ + f"All {len(tasks)} approved tasks have been consolidated.", + "The project is ready for decision review based on the approved task outputs.", + "", + "Recommended next steps:", + "- Validate the highest-impact assumptions with real users or customers.", + "- Prioritize the smallest launch scope that proves demand.", + "- Convert approved outputs into an execution backlog with owners and dates." + ]) + return "\n".join(lines) + + if variant == "pessimistic": + lines.extend([ + "This project can still fail even with all tasks approved.", + "", + "Primary downside risks:", + "- Approved task outputs may be internally consistent but unvalidated by the market.", + "- Revenue, conversion, operational, and adoption assumptions may be too optimistic.", + "- Execution scope can expand faster than the team can deliver.", + "- Competitors can respond with pricing, distribution, or trust advantages.", + "", + "Mitigation priorities:", + "- Validate demand before building broad feature scope.", + "- Stress-test unit economics and support costs.", + "- Define kill criteria before committing more resources." + ]) + return "\n".join(lines) + + return None + + async def build_final_report(self, project_id: str, variant: str = "full"): + variant = variant if variant in REPORT_VARIANTS else "full" + project = supabase.table("projects").select("*").eq("id", project_id).single().execute().data + if not project: + raise ValueError(f"Project not found: {project_id}") + + tasks = ( + supabase.table("tasks") + .select("title,description,status,priority,output_data,created_at") + .eq("project_id", project_id) + .order("priority", desc=True) + .order("created_at", desc=False) + .execute() + .data + or [] + ) + + if not tasks: + raise ValueError("Project has no tasks to summarize.") + + incomplete = [task for task in tasks if task.get("status") != "done"] + if incomplete: + raise ValueError(f"Final report is available after all tasks are approved. Pending tasks: {len(incomplete)}") + + report_title = REPORT_VARIANTS[variant]["title"] + lines = [ + f"# {report_title}: {project['name']}", + "", + "## Project Brief", + project.get("description") or "No project description provided.", + ] + + if project.get("context"): + lines.extend(["", "## Context", project["context"]]) + + lines.extend(["", "## Approved Work Summary"]) + + for index, task in enumerate(tasks, start=1): + lines.extend([ + "", + f"### {index}. {task['title']}", + task.get("description") or "No task description provided.", + "", + _format_output_for_report(task.get("output_data")) + ]) + + lines.extend([ + "", + "## Completion Status", + f"All {len(tasks)} tasks are approved. Project status: completed." + ]) + + supabase.table("projects").update({"status": "completed"}).eq("id", project_id).execute() + report = "\n".join(lines) + + if variant != "full": + try: + generated = await self._generate_report_variant_with_agent(project, report, variant) + report = generated or self._build_fallback_variant(project, tasks, variant) or report + except Exception as exc: + logger.warning(f"Report variant generation failed: {exc}") + report = self._build_fallback_variant(project, tasks, variant) or report + + return { + "project_id": project_id, + "project_name": project["name"], + "task_count": len(tasks), + "variant": variant, + "report": report, + "charts": _build_report_charts(tasks) + } + + async def decompose_project(self, project_id: str): + """ + Uses a Planner agent to decompose a project into discrete tasks. + """ + project = supabase.table("projects").select("*").eq("id", project_id).single().execute().data + owner_id = project.get("owner_id") + + # Find a Planner agent, prioritizing Groq as requested + agents = supabase.table("agents").select("*").execute().data or [] + + # 1. Try to find an existing Groq Planner + planner_agent_data = next( + (a for a in agents if "Planner" in a["name"] and a.get("api_provider") == "groq"), + None + ) + + # 2. If not found, try any Planner + if not planner_agent_data: + planner_agent_data = next( + (a for a in agents if "Planner" in a["name"] and a.get("user_id") in (None, owner_id)), + next((a for a in agents if a.get("user_id") in (None, owner_id)), None) + ) + + # 3. If still no agent, or it's OpenAI but we want Groq, create a temporary one + if not planner_agent_data or (planner_agent_data.get("api_provider") == "openai" and not settings.OPENAI_API_KEY): + logger.info("Using default Groq Planner for decomposition.") + planner = AgentFactory.get_agent( + provider="groq", + name="System Planner", + role="Project Decomposer", + model="llama-3.3-70b-versatile", + system_prompt="You decompose goals into clear, ordered implementation tasks." + ) + else: + planner = AgentFactory.get_agent( + provider=planner_agent_data["api_provider"], + name=planner_agent_data["name"], + role=planner_agent_data["role"], + model=planner_agent_data["model"], + system_prompt=planner_agent_data.get("system_prompt") + ) + + prompt = f"""Decompose the following project into 3-5 clear, actionable tasks. +Project Name: {project['name']} +Description: {project['description']} +Context: {project.get('context', 'None')} + +Return ONLY a valid JSON array of objects. +Each object MUST have exactly these keys: 'title', 'description', and 'priority' (integer 1-5). +IMPORTANT: Do not wrap the list in an object. Return a flat [{{...}}, {{...}}] array. +""" + + try: + result = await planner.run(prompt, []) + # Some cleaning might be needed if agent returns markdown + content = result["data"] + tasks_data = planner._parse_json_output(content) if isinstance(content, str) else content + + # Ensure tasks_data is a list + if isinstance(tasks_data, dict): + # If agent wrapped it in {"tasks": [...]}, extract it + if "tasks" in tasks_data and isinstance(tasks_data["tasks"], list): + tasks_data = tasks_data["tasks"] + else: + # Single task as object, wrap in list + tasks_data = [tasks_data] + + if not isinstance(tasks_data, list): + raise ValueError(f"Agent returned invalid format: {type(tasks_data)}. Expected list or dict.") + + # Insert tasks + from .project_service import project_service + await project_service.add_tasks_to_project(project_id, tasks_data) + logger.info(f"Auto-decomposed project {project_id} into {len(tasks_data)} tasks.") + except Exception as e: + logger.error(f"Project decomposition failed: {e}") + + def _resolve_agent(self, task: dict, available_agents: list[dict]): + assigned_agent_id = task.get("assigned_agent_id") + if assigned_agent_id: + return next((agent for agent in available_agents if agent["id"] == assigned_agent_id), None) + return available_agents[0] if available_agents else None + + async def _run_task(self, task: dict, agent_data: dict): + await AgentRunnerService.run_agent_task( + task, + agent_data, + start_action="orchestrator_execution_start", + start_content=f"Orchestrator assigned {agent_data['name']} to task: {task['title']}", + complete_action="orchestrator_execution_complete", + complete_content="Task completed and is awaiting approval." + ) + +orchestrator_service = OrchestratorService() diff --git a/backend/services/project_service.py b/backend/services/project_service.py new file mode 100644 index 0000000000000000000000000000000000000000..0929a390aa8e595779553dd4d48d20c78059f885 --- /dev/null +++ b/backend/services/project_service.py @@ -0,0 +1,35 @@ +from services.supabase_service import supabase +from typing import List, Dict, Any +import logging + +logger = logging.getLogger("uvicorn") + +class ProjectService: + """ + Handles the creation and management of projects and their constituent tasks. + """ + + @staticmethod + async def create_project(title: str, description: str, user_id: str) -> Dict[str, Any]: + res = supabase.table("projects").insert({ + "title": title, + "description": description, + "user_id": user_id, + "status": "active" + }).execute() + return res.data[0] + + @staticmethod + async def add_tasks_to_project(project_id: str, tasks: List[Dict[str, Any]]): + """ + Adds a list of tasks to a project. + tasks: [{"title": "...", "description": "...", "assigned_agent_id": "..."}] + """ + formatted_tasks = [ + {**task, "project_id": project_id, "status": "todo"} + for task in tasks + ] + supabase.table("tasks").insert(formatted_tasks).execute() + logger.info(f"Added {len(tasks)} tasks to project {project_id}") + +project_service = ProjectService() diff --git a/backend/services/semantic_backprop.py b/backend/services/semantic_backprop.py new file mode 100644 index 0000000000000000000000000000000000000000..d163022dada1282fda5cb9b230c7f37dc94ce221 --- /dev/null +++ b/backend/services/semantic_backprop.py @@ -0,0 +1,104 @@ +import re +import logging +from typing import List, Dict, Any +from services.supabase_service import supabase + +logger = logging.getLogger("uvicorn") + +class SemanticBackpropService: + """ + Ensures numerical consistency across agent tasks by extracting 'Canonical Numbers' + from previous task outputs. + """ + + @staticmethod + async def get_project_context(project_id: str, current_task_id: str) -> str: + """ + Fetches and extracts canonical figures from all completed sibling tasks. + """ + try: + resp = supabase.table("tasks") \ + .select("title, output_data") \ + .eq("project_id", project_id) \ + .eq("status", "done") \ + .neq("id", current_task_id) \ + .execute() + + if not resp.data: + return "" + + canonical_blocks = [] + topic_blocks = [] + + for task in resp.data: + output = task.get("output_data") or {} + # Handle different output formats (raw string or dict with 'result') + result_text = "" + if isinstance(output, dict): + result_text = output.get("result", "") or output.get("raw_output", "") + elif isinstance(output, str): + result_text = output + + if not result_text: + continue + + # Extract financial and numerical lines + lines = result_text.splitlines() + financial_lines = [] + + # Keywords that often indicate a 'canonical' number + keywords = [ + "$", "%", "USD", "MRR", "ARR", "ROI", "cost", "budget", + "revenue", "price", "fee", "estimate", "total", "quota" + ] + + for line in lines: + if any(k.lower() in line.lower() for k in keywords): + if len(line.strip()) > 5: # Ignore very short lines + financial_lines.append(line.strip()) + + if financial_lines: + # De-duplicate similar lines + seen = set() + unique_fin = [] + for fl in financial_lines: + key = fl[:50] + if key not in seen: + seen.add(key) + unique_fin.append(fl) + + canonical_blocks.append( + f"Source Task: **{task['title']}**\n" + + "\n".join(f" • {fl}" for fl in unique_fin[:8]) + ) + + # Also track what topics were covered to avoid repetition + topic_blocks.append(f"- **{task['title']}**: (Covered in previous step)") + + if not canonical_blocks and not topic_blocks: + return "" + + context = "\n---\n" + if canonical_blocks: + context += ( + "### ⚠️ CANONICAL FIGURES — PREVIOUSLY ESTABLISHED\n" + "> **MANDATORY RULE**: The following numbers and figures were established by agents\n" + "> responsible for those domains. You MUST use these exact values if you reference them.\n" + "> DO NOT re-calculate or propose alternative values for these specific items.\n\n" + ) + context += "\n\n".join(canonical_blocks) + "\n\n" + + if topic_blocks: + context += ( + "### 📋 PREVIOUSLY COVERED TOPICS\n" + "> Do not repeat the analysis of these topics. Focus only on your specific task.\n" + ) + context += "\n".join(topic_blocks) + "\n" + + return context + + except Exception as e: + logger.error(f"Semantic Backprop failed: {e}") + return "" + +semantic_backprop = SemanticBackpropService() diff --git a/backend/services/supabase_service.py b/backend/services/supabase_service.py new file mode 100644 index 0000000000000000000000000000000000000000..378a01c5097d7337ed904640816338a6a4e51ee4 --- /dev/null +++ b/backend/services/supabase_service.py @@ -0,0 +1,13 @@ +from supabase import create_client, Client +from services.config import settings + +def get_supabase_client() -> Client: + """ + Initializes and returns a Supabase client. + """ + if not settings.SUPABASE_URL or not settings.SUPABASE_SERVICE_ROLE_KEY: + raise ValueError("SUPABASE_URL and SUPABASE_SERVICE_ROLE_KEY must be set in environment.") + + return create_client(settings.SUPABASE_URL, settings.SUPABASE_SERVICE_ROLE_KEY) + +supabase: Client = get_supabase_client() diff --git a/backend/services/task_queue.py b/backend/services/task_queue.py new file mode 100644 index 0000000000000000000000000000000000000000..504fc0fec0e2d8e094ce791fc787268e67d3eeac --- /dev/null +++ b/backend/services/task_queue.py @@ -0,0 +1,47 @@ +import logging +from typing import Optional, List +from .supabase_service import supabase + +logger = logging.getLogger(__name__) + +class TaskQueueService: + @staticmethod + async def queue_task(task_id: str): + """ + Marks a task as 'queued' in the database. + """ + try: + result = supabase.table("tasks").update({"status": "queued"}).eq("id", task_id).execute() + return result + except Exception as e: + logger.error(f"Error queueing task {task_id}: {e}") + return None + + @staticmethod + async def get_next_queued_task(): + """ + Fetches the next available task from the queue. + """ + try: + # Fetch one task that is in 'queued' status, ordered by priority and created_at + result = supabase.table("tasks") \ + .select("*") \ + .eq("status", "queued") \ + .order("priority", desc=True) \ + .order("created_at") \ + .limit(1) \ + .execute() + + if result.data: + return result.data[0] + return None + except Exception as e: + logger.error(f"Error fetching next queued task: {e}") + return None + + @staticmethod + async def mark_in_progress(task_id: str): + """ + Marks a task as 'in_progress'. + """ + return supabase.table("tasks").update({"status": "in_progress"}).eq("id", task_id).execute() diff --git a/backend/tools/browser.py b/backend/tools/browser.py new file mode 100644 index 0000000000000000000000000000000000000000..df565223ee3d1f22d6aa140f7c98533a4ef78d49 --- /dev/null +++ b/backend/tools/browser.py @@ -0,0 +1,35 @@ +from playwright.async_api import async_playwright +import logging + +logger = logging.getLogger("uvicorn") + +class BrowserTool: + """ + A tool that allows agents to browse the web and extract content. + """ + async def search_and_extract(self, url: str) -> str: + """ + Navigates to a URL and returns the text content. + """ + logger.info(f"BrowserTool: Navigating to {url}") + async with async_playwright() as p: + browser = await p.chromium.launch(headless=True) + page = await browser.new_page() + try: + await page.goto(url, wait_until="networkidle", timeout=30000) + # Simple extraction: get all text from body + content = await page.inner_text("body") + # Truncate if too long for LLM context + return content[:10000] + except Exception as e: + logger.error(f"BrowserTool error: {str(e)}") + return f"Error accessing {url}: {str(e)}" + finally: + await browser.close() + + async def google_search(self, query: str) -> str: + """ + Performs a Google search and returns results. + """ + search_url = f"https://www.google.com/search?q={query}" + return await self.search_and_extract(search_url) diff --git a/backend/tools/decomposer.py b/backend/tools/decomposer.py new file mode 100644 index 0000000000000000000000000000000000000000..6f568eab896f881815afe79a6f3d685ba24d3107 --- /dev/null +++ b/backend/tools/decomposer.py @@ -0,0 +1,20 @@ +from services.project_service import project_service +from typing import List, Dict, Any +import logging + +logger = logging.getLogger("uvicorn") + +class DecompositionTool: + """ + A tool that allows agents to break down complex goals into actionable tasks. + """ + async def create_subtasks(self, project_id: str, tasks: List[Dict[str, Any]]) -> str: + """ + Takes a list of task definitions and adds them to the database for the given project. + """ + logger.info(f"DecompositionTool: Creating {len(tasks)} subtasks for project {project_id}") + try: + await project_service.add_tasks_to_project(project_id, tasks) + return f"Successfully created {len(tasks)} subtasks." + except Exception as e: + return f"Failed to create subtasks: {str(e)}" diff --git a/backend/tools/file_generator.py b/backend/tools/file_generator.py new file mode 100644 index 0000000000000000000000000000000000000000..ad12b2ed3fe44ba7a601ddc47dda9b4d7a51eca3 --- /dev/null +++ b/backend/tools/file_generator.py @@ -0,0 +1,61 @@ +import os +import pandas as pd +from reportlab.lib.pagesizes import letter +from reportlab.pdfgen import canvas +from datetime import datetime +import logging + +logger = logging.getLogger("uvicorn") + +class FileGeneratorTool: + """ + A tool that allows agents to generate PDF and Excel files. + """ + def __init__(self): + self.output_dir = "outputs" + os.makedirs(self.output_dir, exist_ok=True) + + def _generate_filename(self, extension: str) -> str: + timestamp = datetime.now().strftime("%Y%m%d_%H%M%S") + return os.path.join(self.output_dir, f"report_{timestamp}.{extension}") + + async def generate_pdf(self, title: str, content: str) -> str: + """ + Generates a PDF document with the provided title and content. + """ + filename = self._generate_filename("pdf") + logger.info(f"FileGenerator: Generating PDF {filename}") + + try: + c = canvas.Canvas(filename, pagesize=letter) + width, height = letter + + # Title + c.setFont("Helvetica-Bold", 16) + c.drawString(72, height - 72, title) + + # Content (very basic wrapping/split) + c.setFont("Helvetica", 12) + text_object = c.beginText(72, height - 100) + for line in content.split('\n'): + text_object.textLine(line) + c.drawText(text_object) + + c.save() + return f"PDF generated successfully: {filename}" + except Exception as e: + return f"Failed to generate PDF: {str(e)}" + + async def generate_excel(self, data: list) -> str: + """ + Generates an Excel file from a list of dictionaries. + """ + filename = self._generate_filename("xlsx") + logger.info(f"FileGenerator: Generating Excel {filename}") + + try: + df = pd.DataFrame(data) + df.to_excel(filename, index=False) + return f"Excel generated successfully: {filename}" + except Exception as e: + return f"Failed to generate Excel: {str(e)}" diff --git a/backend/tools/registry.py b/backend/tools/registry.py new file mode 100644 index 0000000000000000000000000000000000000000..bc01a082c425342ee89f4f72b966dd4e8c9cf152 --- /dev/null +++ b/backend/tools/registry.py @@ -0,0 +1,250 @@ +from .file_generator import FileGeneratorTool +from .decomposer import DecompositionTool +from .sre import SRETool +from .browser import BrowserTool +from .sandbox import CodeSandboxTool +from .visuals import VisualsTool +from typing import Any, Dict, List + +class ToolRegistry: + def __init__(self): + self.browser = BrowserTool() + self.sandbox = CodeSandboxTool() + self.file_gen = FileGeneratorTool() + self.decomposer = DecompositionTool() + self.sre = SRETool() + self.visuals = VisualsTool() + self.tools = { + "web_search": { + "func": self.browser.google_search, + "description": "Searches the web for a given query and returns the results." + }, + "extract_url": { + "func": self.browser.search_and_extract, + "description": "Extracts text content from a specific URL." + }, + "execute_python": { + "func": self.sandbox.execute_python, + "description": "Executes Python code and returns the output." + }, + "generate_pdf": { + "func": self.file_gen.generate_pdf, + "description": "Generates a PDF document." + }, + "generate_excel": { + "func": self.file_gen.generate_excel, + "description": "Generates an Excel spreadsheet from structured data." + }, + "create_subtasks": { + "func": self.decomposer.create_subtasks, + "description": "Breaks down a goal into a list of actionable tasks." + }, + "generate_chart": { + "func": self.visuals.generate_chart, + "description": "Generates a chart image (bar, line, pie) from a JSON config." + }, + "generate_illustration": { + "func": self.visuals.generate_illustration, + "description": "Generates an AI illustration or drawing based on a text prompt." + }, + "get_system_health": { + "func": self.sre.get_system_health, + "description": "Returns system health metrics (CPU, Memory, Disk)." + }, + "check_service_status": { + "func": self.sre.check_service_status, + "description": "Checks if a specific service or process is running." + }, + "run_patch_command": { + "func": self.sre.run_patch_command, + "description": "Executes a safe system patch command (e.g., git pull, npm install)." + } + } + + def get_tool_definitions(self) -> List[Dict[str, Any]]: + """ + Returns OpenAI-style tool definitions. + """ + return [ + { + "type": "function", + "function": { + "name": "web_search", + "description": "Search the web for information", + "parameters": { + "type": "object", + "properties": { + "query": {"type": "string", "description": "The search query"} + }, + "required": ["query"] + } + } + }, + { + "type": "function", + "function": { + "name": "extract_url", + "description": "Extract text content from a URL", + "parameters": { + "type": "object", + "properties": { + "url": {"type": "string", "description": "The URL to extract from"} + }, + "required": ["url"] + } + } + }, + { + "type": "function", + "function": { + "name": "execute_python", + "description": "Execute Python code to perform calculations, data analysis, or logic verification.", + "parameters": { + "type": "object", + "properties": { + "code": {"type": "string", "description": "The Python code to execute"} + }, + "required": ["code"] + } + } + }, + { + "type": "function", + "function": { + "name": "generate_pdf", + "description": "Create a professional PDF report", + "parameters": { + "type": "object", + "properties": { + "title": {"type": "string", "description": "The title of the report"}, + "content": {"type": "string", "description": "The text content of the report"} + }, + "required": ["title", "content"] + } + } + }, + { + "type": "function", + "function": { + "name": "generate_excel", + "description": "Create an Excel spreadsheet from data", + "parameters": { + "type": "object", + "properties": { + "data": { + "type": "array", + "items": {"type": "object"}, + "description": "List of rows as objects" + } + }, + "required": ["data"] + } + } + }, + { + "type": "function", + "function": { + "name": "create_subtasks", + "description": "Break down a complex goal into smaller, actionable tasks for other agents.", + "parameters": { + "type": "object", + "properties": { + "project_id": {"type": "string", "description": "The current project UUID"}, + "tasks": { + "type": "array", + "items": { + "type": "object", + "properties": { + "title": {"type": "string", "description": "Clear title of the subtask"}, + "description": {"type": "string", "description": "Detailed instructions for the next agent"}, + "assigned_agent_id": {"type": "string", "description": "The UUID of the agent to handle this task"} + }, + "required": ["title", "description", "assigned_agent_id"] + } + } + }, + "required": ["project_id", "tasks"] + } + } + }, + { + "type": "function", + "function": { + "name": "generate_chart", + "description": "Generate a visual chart image (bar, line, pie, etc.) using QuickChart.io.", + "parameters": { + "type": "object", + "properties": { + "chart_type": {"type": "string", "enum": ["bar", "line", "pie", "doughnut"], "description": "Type of chart"}, + "chart_config": {"type": "string", "description": "The JSON configuration for QuickChart (e.g., {type: 'bar', data: {...}})"} + }, + "required": ["chart_type", "chart_config"] + } + } + }, + { + "type": "function", + "function": { + "name": "generate_illustration", + "description": "Generate an AI illustration or drawing based on a prompt using Pollinations.ai.", + "parameters": { + "type": "object", + "properties": { + "prompt": {"type": "string", "description": "Detailed description of the illustration to generate"} + }, + "required": ["prompt"] + } + } + }, + { + "type": "function", + "function": { + "name": "get_system_health", + "description": "Monitor server vital signs like CPU usage, memory availability, and disk space.", + "parameters": { + "type": "object", + "properties": {} + } + } + }, + { + "type": "function", + "function": { + "name": "check_service_status", + "description": "Verify if a critical service or process is currently active on the host.", + "parameters": { + "type": "object", + "properties": { + "service_name": {"type": "string", "description": "The name of the process or service to check"} + }, + "required": ["service_name"] + } + } + }, + { + "type": "function", + "function": { + "name": "run_patch_command", + "description": "Apply a system patch or update. Limited to safe commands like 'git pull' or 'npm install'.", + "parameters": { + "type": "object", + "properties": { + "command": {"type": "string", "description": "The restricted command to execute"} + }, + "required": ["command"] + } + } + } + ] + + async def call_tool(self, name: str, arguments: Dict[str, Any]) -> Any: + """ + Executes a tool by name with provided arguments. + """ + if name not in self.tools: + raise ValueError(f"Tool {name} not found") + + func = self.tools[name]["func"] + return await func(**arguments) + +tool_registry = ToolRegistry() diff --git a/backend/tools/sandbox.py b/backend/tools/sandbox.py new file mode 100644 index 0000000000000000000000000000000000000000..dc8d5ec1290e8c71aa23ad261ddf56248cfb3309 --- /dev/null +++ b/backend/tools/sandbox.py @@ -0,0 +1,39 @@ +import sys +import io +import contextlib +import logging + +logger = logging.getLogger("uvicorn") + +class CodeSandboxTool: + """ + A tool that allows agents to execute Python code and see the output. + """ + async def execute_python(self, code: str) -> str: + """ + Executes the provided Python code and returns the stdout/stderr. + """ + logger.info("CodeSandboxTool: Executing Python code") + + # Capture stdout and stderr + stdout = io.StringIO() + stderr = io.StringIO() + + try: + with contextlib.redirect_stdout(stdout), contextlib.redirect_stderr(stderr): + # Using a fresh globals dictionary for each execution + exec_globals = {} + exec(code, exec_globals) + + output = stdout.getvalue() + errors = stderr.getvalue() + + if errors: + return f"Output:\n{output}\nErrors:\n{errors}" + return output if output else "Execution successful (no output)." + + except Exception as e: + return f"Execution failed: {str(e)}" + finally: + stdout.close() + stderr.close() diff --git a/backend/tools/sre.py b/backend/tools/sre.py new file mode 100644 index 0000000000000000000000000000000000000000..3a040630b4d844903d8f24cf3abf5fe2b2a8d39f --- /dev/null +++ b/backend/tools/sre.py @@ -0,0 +1,72 @@ +import psutil +import os +import platform +from typing import Dict, Any +import logging + +logger = logging.getLogger("uvicorn") + +class SRETool: + """ + A toolset for Site Reliability Engineering (SRE) agents to monitor and manage system health. + """ + + async def get_system_health(self) -> Dict[str, Any]: + """ + Returns real-time system health metrics (CPU, RAM, Disk). + """ + logger.info("SRETool: Gathering system health metrics") + return { + "cpu_percent": psutil.cpu_percent(interval=1), + "memory": { + "total": psutil.virtual_memory().total, + "available": psutil.virtual_memory().available, + "percent": psutil.virtual_memory().percent + }, + "disk": { + "total": psutil.disk_usage('/').total, + "used": psutil.disk_usage('/').used, + "percent": psutil.disk_usage('/').percent + }, + "os": platform.system(), + "uptime": self._get_uptime() + } + + async def check_service_status(self, service_name: str) -> str: + """ + Checks if a specific service/process is running. + """ + logger.info(f"SRETool: Checking status of {service_name}") + for proc in psutil.process_iter(['name']): + if service_name.lower() in proc.info['name'].lower(): + return f"Service '{service_name}' is RUNNING." + return f"Service '{service_name}' is NOT running." + + def _get_uptime(self) -> str: + # Simple uptime calculation + import time + boot_time = psutil.boot_time() + uptime_seconds = time.time() - boot_time + return f"{int(uptime_seconds // 3600)}h {int((uptime_seconds % 3600) // 60)}m" + + async def run_patch_command(self, command: str) -> str: + """ + Executes a restricted set of patching commands. + """ + logger.warning(f"SRETool: Attempting to run patch command: {command}") + + # Restricted whitelist for security + whitelist = ["npm install", "pip install", "git pull", "npm audit fix"] + + is_safe = any(command.startswith(safe) for safe in whitelist) + if not is_safe: + return f"Command '{command}' is not in the safety whitelist. Patch rejected." + + try: + import subprocess + result = subprocess.run(command, shell=True, capture_output=True, text=True, timeout=60) + if result.returncode == 0: + return f"Patch successful: {result.stdout}" + return f"Patch failed: {result.stderr}" + except Exception as e: + return f"Error executing patch: {str(e)}" diff --git a/backend/tools/visuals.py b/backend/tools/visuals.py new file mode 100644 index 0000000000000000000000000000000000000000..9813d40a3f53026b393294a2ceae879ba946096d --- /dev/null +++ b/backend/tools/visuals.py @@ -0,0 +1,48 @@ +import urllib.parse +import json +import logging + +logger = logging.getLogger("uvicorn") + +class VisualsTool: + """ + Provides visual generation capabilities like charts and illustrations. + """ + + async def generate_chart(self, chart_type: str, chart_config: str) -> str: + """ + Generates a chart using QuickChart.io. + chart_type: 'bar', 'line', 'pie', 'doughnut' + chart_config: A JSON string containing the QuickChart configuration. + """ + try: + # If chart_config is already a dict, convert to JSON + if isinstance(chart_config, dict): + config_str = json.dumps(chart_config) + else: + # Try to parse it to validate + config_str = chart_config + json.loads(config_str) + + encoded_config = urllib.parse.quote(config_str) + url = f"https://quickchart.io/chart?c={encoded_config}" + + logger.info(f"Generated chart URL: {url}") + return f"Chart generated successfully: {url}. You should include this URL in your markdown output as an image: ![Chart]({url})" + except Exception as e: + logger.error(f"Failed to generate chart: {e}") + return f"Error generating chart: {str(e)}. Please ensure your chart_config is a valid JSON string." + + async def generate_illustration(self, prompt: str) -> str: + """ + Generates an illustration using Pollinations.ai. + """ + try: + encoded_prompt = urllib.parse.quote(prompt) + url = f"https://pollinations.ai/p/{encoded_prompt}?width=1024&height=1024&seed=42&model=flux" + + logger.info(f"Generated illustration URL: {url}") + return f"Illustration generated successfully: {url}. You should include this URL in your markdown output as an image: ![Illustration]({url})" + except Exception as e: + logger.error(f"Failed to generate illustration: {e}") + return f"Error generating illustration: {str(e)}" diff --git a/backend/worker.py b/backend/worker.py new file mode 100644 index 0000000000000000000000000000000000000000..f8dfa01f27222447fbd48a87857303e1ce29e7cf --- /dev/null +++ b/backend/worker.py @@ -0,0 +1,53 @@ +import asyncio +import logging +import signal +from services.task_queue import TaskQueueService +from services.supabase_service import supabase +from services.agent_runner_service import AgentRunnerService + +logging.basicConfig(level=logging.INFO) +logger = logging.getLogger("worker") + +class AubmWorker: + def __init__(self): + self.running = True + + async def start(self): + logger.info("Aubm Background Worker started.") + while self.running: + task = await TaskQueueService.get_next_queued_task() + + if task: + task_id = task['id'] + logger.info(f"Processing task: {task_id}") + + try: + # Fetch agent data for this task + agent_res = supabase.table("agents").select("*").eq("id", task["assigned_agent_id"]).single().execute() + if agent_res.data: + await AgentRunnerService.execute_agent_logic(task, agent_res.data) + logger.info(f"Task {task_id} completed successfully.") + else: + logger.error(f"No agent found for task {task_id}") + except Exception as e: + logger.error(f"Failed to process task {task_id}: {e}") + else: + # No tasks, sleep for a bit + await asyncio.sleep(5) + + def stop(self): + logger.info("Stopping worker...") + self.running = False + +async def main(): + worker = AubmWorker() + + # Handle shutdown signals + loop = asyncio.get_running_loop() + for sig in (signal.SIGINT, signal.SIGTERM): + loop.add_signal_handler(sig, worker.stop) + + await worker.start() + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/database/agent_ownership.sql b/database/agent_ownership.sql new file mode 100644 index 0000000000000000000000000000000000000000..ee813b241b42d6ed1722afa996c44a491e1ad5a4 --- /dev/null +++ b/database/agent_ownership.sql @@ -0,0 +1,42 @@ +-- Agent ownership and marketplace deploy policies +-- Apply this migration to existing Supabase projects after schema.sql. + +ALTER TABLE public.agents +ADD COLUMN IF NOT EXISTS user_id UUID REFERENCES auth.users ON DELETE CASCADE; + +ALTER TABLE public.agents ENABLE ROW LEVEL SECURITY; + +DO $$ +BEGIN + IF NOT EXISTS ( + SELECT 1 FROM pg_policies + WHERE schemaname = 'public' + AND tablename = 'agents' + AND policyname = 'Users can create own agents' + ) THEN + CREATE POLICY "Users can create own agents" ON public.agents + FOR INSERT TO authenticated WITH CHECK (auth.uid() = user_id); + END IF; + + IF NOT EXISTS ( + SELECT 1 FROM pg_policies + WHERE schemaname = 'public' + AND tablename = 'agents' + AND policyname = 'Users can update own agents' + ) THEN + CREATE POLICY "Users can update own agents" ON public.agents + FOR UPDATE TO authenticated USING (auth.uid() = user_id) WITH CHECK (auth.uid() = user_id); + END IF; + + IF NOT EXISTS ( + SELECT 1 FROM pg_policies + WHERE schemaname = 'public' + AND tablename = 'agents' + AND policyname = 'Users can delete own agents' + ) THEN + CREATE POLICY "Users can delete own agents" ON public.agents + FOR DELETE TO authenticated USING (auth.uid() = user_id); + END IF; +END $$; + +NOTIFY pgrst, 'reload schema'; diff --git a/database/default_agents.sql b/database/default_agents.sql new file mode 100644 index 0000000000000000000000000000000000000000..104a78e8348ff2b2668f4d9c40875ffe13b5e90c --- /dev/null +++ b/database/default_agents.sql @@ -0,0 +1,36 @@ +-- Global default agents +-- These agents are readable by authenticated users and usable by the backend +-- orchestrator as fallback agents. They are not owned by a specific user. + +INSERT INTO public.agents (name, role, api_provider, model, system_prompt) +SELECT + 'Planner', + 'Project Planner', + 'openai', + 'gpt-4o', + 'You decompose goals into clear, ordered implementation tasks.' +WHERE NOT EXISTS ( + SELECT 1 FROM public.agents WHERE user_id IS NULL AND name = 'Planner' +); + +INSERT INTO public.agents (name, role, api_provider, model, system_prompt) +SELECT + 'Builder', + 'Implementation Agent', + 'openai', + 'gpt-4o', + 'You implement practical, production-oriented solutions with concise output.' +WHERE NOT EXISTS ( + SELECT 1 FROM public.agents WHERE user_id IS NULL AND name = 'Builder' +); + +INSERT INTO public.agents (name, role, api_provider, model, system_prompt) +SELECT + 'Reviewer', + 'Quality Reviewer', + 'openai', + 'gpt-4o', + 'You review outputs for correctness, security, completeness, and missing tests.' +WHERE NOT EXISTS ( + SELECT 1 FROM public.agents WHERE user_id IS NULL AND name = 'Reviewer' +); diff --git a/database/enterprise_security.sql b/database/enterprise_security.sql new file mode 100644 index 0000000000000000000000000000000000000000..32ffc8bc72bdc2f63419cc22530d6adc629b2dee --- /dev/null +++ b/database/enterprise_security.sql @@ -0,0 +1,53 @@ +-- Enterprise Teams Table +CREATE TABLE IF NOT EXISTS teams ( + id UUID PRIMARY KEY DEFAULT uuid_generate_v4(), + name TEXT NOT NULL, + created_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP +); + +-- Team Members Table +CREATE TABLE IF NOT EXISTS team_members ( + id UUID PRIMARY KEY DEFAULT uuid_generate_v4(), + team_id UUID REFERENCES teams(id) ON DELETE CASCADE, + user_id UUID REFERENCES auth.users(id) ON DELETE CASCADE, + role TEXT CHECK (role IN ('admin', 'editor', 'viewer')) DEFAULT 'viewer', + UNIQUE(team_id, user_id) +); + +-- Add team_id to Projects +ALTER TABLE projects ADD COLUMN IF NOT EXISTS team_id UUID REFERENCES teams(id); + +-- Advanced RLS for Projects +ALTER TABLE projects ENABLE ROW LEVEL SECURITY; + +-- Policy: Users can view projects of their teams +CREATE POLICY "Team members can view team projects" ON projects + FOR SELECT USING ( + EXISTS ( + SELECT 1 FROM team_members + WHERE team_members.team_id = projects.team_id + AND team_members.user_id = auth.uid() + ) + ); + +-- Policy: Only admins and editors can modify projects +CREATE POLICY "Team admins and editors can modify projects" ON projects + FOR ALL USING ( + EXISTS ( + SELECT 1 FROM team_members + WHERE team_members.team_id = projects.team_id + AND team_members.user_id = auth.uid() + AND team_members.role IN ('admin', 'editor') + ) + ); + +-- Audit Logs for RLS +CREATE POLICY "Team members can view audit logs" ON audit_logs + FOR SELECT USING ( + EXISTS ( + SELECT 1 FROM projects + JOIN team_members ON team_members.team_id = projects.team_id + WHERE projects.id = audit_logs.task_id -- Simplified link + AND team_members.user_id = auth.uid() + ) + ); diff --git a/database/marketplace.sql b/database/marketplace.sql new file mode 100644 index 0000000000000000000000000000000000000000..ce3bf2a31e732556f973015b3e4abfaeb7dc139c --- /dev/null +++ b/database/marketplace.sql @@ -0,0 +1,31 @@ +-- Agent Marketplace Table +CREATE TABLE IF NOT EXISTS agent_templates ( + id UUID PRIMARY KEY DEFAULT uuid_generate_v4(), + name TEXT NOT NULL, + role TEXT NOT NULL, + description TEXT, + model TEXT NOT NULL, + api_provider TEXT NOT NULL, + system_prompt TEXT, + category TEXT, -- e.g., 'Marketing', 'Development', 'Legal' + author_id UUID REFERENCES auth.users(id), + is_featured BOOLEAN DEFAULT false, + usage_count INT DEFAULT 0, + created_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP +); + +-- RLS for Marketplace (Public View) +ALTER TABLE agent_templates ENABLE ROW LEVEL SECURITY; + +CREATE POLICY "Anyone can view templates" ON agent_templates + FOR SELECT USING (true); + +CREATE POLICY "Users can create their own templates" ON agent_templates + FOR INSERT WITH CHECK (auth.uid() = author_id); + +-- Seed some marketplace templates +INSERT INTO agent_templates (name, role, description, model, api_provider, category, system_prompt) +VALUES +('Growth Hacker', 'Marketing Expert', 'Optimizes funnels and generates viral content ideas.', 'gpt-4o', 'openai', 'Marketing', 'You are a Growth Hacker focused on low-cost, high-impact strategies.'), +('Code Architect', 'Senior Developer', 'Designs robust software architectures and reviews code.', 'gpt-4o', 'openai', 'Development', 'You are a Code Architect. Focus on scalability, security, and clean code.'), +('Legal Analyst', 'Legal Advisor', 'Analyzes contracts and identifies legal risks.', 'gpt-4o', 'openai', 'Legal', 'You are a Legal Analyst. Review documents with high precision and caution.'); diff --git a/database/phase3_updates.sql b/database/phase3_updates.sql new file mode 100644 index 0000000000000000000000000000000000000000..40d2d59a2d964cb33972939c0e882a2d2a8bd52b --- /dev/null +++ b/database/phase3_updates.sql @@ -0,0 +1,30 @@ +-- Audit Logs Table +CREATE TABLE IF NOT EXISTS audit_logs ( + id UUID PRIMARY KEY DEFAULT uuid_generate_v4(), + user_id UUID REFERENCES auth.users(id), + agent_id UUID REFERENCES agents(id), + task_id UUID REFERENCES tasks(id), + action TEXT NOT NULL, + metadata JSONB, + created_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP +); + +-- Feedback Table for Fine-tuning +CREATE TABLE IF NOT EXISTS task_feedback ( + id UUID PRIMARY KEY DEFAULT uuid_generate_v4(), + task_id UUID REFERENCES tasks(id) UNIQUE, + user_id UUID REFERENCES auth.users(id), + rating INT CHECK (rating IN (-1, 1)), -- -1 for dislike, 1 for like + comment TEXT, + created_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP +); + +-- Add RLS to new tables +ALTER TABLE audit_logs ENABLE ROW LEVEL SECURITY; +ALTER TABLE task_feedback ENABLE ROW LEVEL SECURITY; + +CREATE POLICY "Users can view their own audit logs" ON audit_logs + FOR SELECT USING (auth.uid() = user_id); + +CREATE POLICY "Users can manage their own feedback" ON task_feedback + FOR ALL USING (auth.uid() = user_id); diff --git a/database/schema.sql b/database/schema.sql new file mode 100644 index 0000000000000000000000000000000000000000..dec271ebc9127d6090034b436c2e2b80eb061410 --- /dev/null +++ b/database/schema.sql @@ -0,0 +1,141 @@ +-- Aubm Database Schema +-- Designed for Supabase (PostgreSQL) + +-- 1. Profiles (User Extensions) +CREATE TABLE IF NOT EXISTS public.profiles ( + id UUID PRIMARY KEY REFERENCES auth.users ON DELETE CASCADE, + role TEXT CHECK (role IN ('user', 'manager', 'admin')) DEFAULT 'user', + full_name TEXT, + avatar_url TEXT, + created_at TIMESTAMPTZ DEFAULT NOW(), + updated_at TIMESTAMPTZ DEFAULT NOW() +); + +-- 2. Projects +CREATE TABLE IF NOT EXISTS public.projects ( + id UUID PRIMARY KEY DEFAULT gen_random_uuid(), + name TEXT NOT NULL, + description TEXT, + context TEXT, + owner_id UUID REFERENCES auth.users ON DELETE CASCADE, + status TEXT CHECK (status IN ('active', 'archived', 'completed')) DEFAULT 'active', + is_public BOOLEAN DEFAULT FALSE, + created_at TIMESTAMPTZ DEFAULT NOW(), + updated_at TIMESTAMPTZ DEFAULT NOW() +); + +-- 3. Agents (AI Identities) +CREATE TABLE IF NOT EXISTS public.agents ( + id UUID PRIMARY KEY DEFAULT gen_random_uuid(), + user_id UUID REFERENCES auth.users ON DELETE CASCADE, + name TEXT NOT NULL, + role TEXT, + api_provider TEXT NOT NULL, + model TEXT NOT NULL, + system_prompt TEXT, + created_at TIMESTAMPTZ DEFAULT NOW(), + updated_at TIMESTAMPTZ DEFAULT NOW() +); + +-- 4. Tasks (Units of work) +CREATE TABLE IF NOT EXISTS public.tasks ( + id UUID PRIMARY KEY DEFAULT gen_random_uuid(), + project_id UUID REFERENCES public.projects ON DELETE CASCADE, + assigned_agent_id UUID REFERENCES public.agents ON DELETE SET NULL, + title TEXT NOT NULL, + description TEXT, + status TEXT CHECK (status IN ('todo', 'in_progress', 'awaiting_approval', 'done', 'failed', 'cancelled')) DEFAULT 'todo', + priority INTEGER DEFAULT 0, + is_critical BOOLEAN DEFAULT FALSE, + output_data JSONB, + created_at TIMESTAMPTZ DEFAULT NOW(), + updated_at TIMESTAMPTZ DEFAULT NOW() +); + +-- 5. Task Runs (Execution History) +CREATE TABLE IF NOT EXISTS public.task_runs ( + id UUID PRIMARY KEY DEFAULT gen_random_uuid(), + task_id UUID REFERENCES public.tasks ON DELETE CASCADE, + agent_id UUID REFERENCES public.agents ON DELETE SET NULL, + status TEXT CHECK (status IN ('queued', 'running', 'completed', 'failed', 'cancelled')) DEFAULT 'queued', + error_message TEXT, + created_at TIMESTAMPTZ DEFAULT NOW(), + finished_at TIMESTAMPTZ +); + +-- 6. Agent Logs (Execution Traces) +CREATE TABLE IF NOT EXISTS public.agent_logs ( + id UUID PRIMARY KEY DEFAULT gen_random_uuid(), + task_id UUID REFERENCES public.tasks ON DELETE CASCADE, + run_id UUID REFERENCES public.task_runs ON DELETE CASCADE, + action TEXT, + content TEXT, + metadata JSONB, + created_at TIMESTAMPTZ DEFAULT NOW() +); + +-- 7. App Config (Global Settings) +CREATE TABLE IF NOT EXISTS public.app_config ( + key TEXT PRIMARY KEY, + value JSONB, + updated_at TIMESTAMPTZ DEFAULT NOW() +); + +-- RLS (Row Level Security) - Initial setup +ALTER TABLE public.profiles ENABLE ROW LEVEL SECURITY; +ALTER TABLE public.projects ENABLE ROW LEVEL SECURITY; +ALTER TABLE public.agents ENABLE ROW LEVEL SECURITY; +ALTER TABLE public.tasks ENABLE ROW LEVEL SECURITY; +ALTER TABLE public.task_runs ENABLE ROW LEVEL SECURITY; +ALTER TABLE public.agent_logs ENABLE ROW LEVEL SECURITY; +ALTER TABLE public.app_config ENABLE ROW LEVEL SECURITY; + +-- Basic Policies (To be refined) +-- Projects: Owners can do anything, others can read if public +CREATE POLICY "Projects visibility" ON public.projects + FOR SELECT USING (auth.uid() = owner_id OR is_public = true); + +CREATE POLICY "Projects ownership" ON public.projects + FOR ALL USING (auth.uid() = owner_id); + +-- Tasks: Protected by project ownership +CREATE POLICY "Tasks visibility" ON public.tasks + FOR SELECT USING (EXISTS ( + SELECT 1 FROM public.projects + WHERE projects.id = tasks.project_id AND (projects.owner_id = auth.uid() OR projects.is_public = true) + )); + +CREATE POLICY "Project owners can create tasks" ON public.tasks + FOR INSERT TO authenticated WITH CHECK (EXISTS ( + SELECT 1 FROM public.projects + WHERE projects.id = tasks.project_id AND projects.owner_id = auth.uid() + )); + +CREATE POLICY "Project owners can update tasks" ON public.tasks + FOR UPDATE TO authenticated USING (EXISTS ( + SELECT 1 FROM public.projects + WHERE projects.id = tasks.project_id AND projects.owner_id = auth.uid() + )) WITH CHECK (EXISTS ( + SELECT 1 FROM public.projects + WHERE projects.id = tasks.project_id AND projects.owner_id = auth.uid() + )); + +CREATE POLICY "Project owners can delete tasks" ON public.tasks + FOR DELETE TO authenticated USING (EXISTS ( + SELECT 1 FROM public.projects + WHERE projects.id = tasks.project_id AND projects.owner_id = auth.uid() + )); + +-- Agents: Marketplace templates are readable by all authenticated users. +-- Deployed agents are owned by the user who deployed them. +CREATE POLICY "Agents readable" ON public.agents + FOR SELECT TO authenticated USING (true); + +CREATE POLICY "Users can create own agents" ON public.agents + FOR INSERT TO authenticated WITH CHECK (auth.uid() = user_id); + +CREATE POLICY "Users can update own agents" ON public.agents + FOR UPDATE TO authenticated USING (auth.uid() = user_id) WITH CHECK (auth.uid() = user_id); + +CREATE POLICY "Users can delete own agents" ON public.agents + FOR DELETE TO authenticated USING (auth.uid() = user_id); diff --git a/database/seed.sql b/database/seed.sql new file mode 100644 index 0000000000000000000000000000000000000000..095217f031d25095337654d9d17909fdea7ab3b8 --- /dev/null +++ b/database/seed.sql @@ -0,0 +1,15 @@ +-- Seed Data for Aubm + +-- 1. Default Agents +INSERT INTO public.agents (name, role, api_provider, model, system_prompt) +VALUES +('GPT-4o', 'General Intelligence', 'openai', 'gpt-4o', 'You are a highly capable AI assistant.'), +('AMD-4o', 'Performance Specialist', 'amd', 'gpt-4o', 'You are a high-performance agent running on AMD infrastructure.'), +('Llama-3-70B', 'Fast Logic', 'groq', 'llama3-70b-8192', 'You are a fast and efficient reasoning agent.'); + +-- 2. Default App Config +INSERT INTO public.app_config (key, value) +VALUES +('output_language', '"en"'), +('max_parallel_tasks', '5'), +('enable_human_loop', 'true'); diff --git a/database/task_owner_policies.sql b/database/task_owner_policies.sql new file mode 100644 index 0000000000000000000000000000000000000000..52bf9c5ad60f169ff5913aceddffc79cb1920391 --- /dev/null +++ b/database/task_owner_policies.sql @@ -0,0 +1,63 @@ +-- Task ownership policies for project owners +-- Apply this migration to existing Supabase projects after schema.sql. + +ALTER TABLE public.tasks ENABLE ROW LEVEL SECURITY; + +DO $$ +BEGIN + IF NOT EXISTS ( + SELECT 1 FROM pg_policies + WHERE schemaname = 'public' + AND tablename = 'tasks' + AND policyname = 'Project owners can create tasks' + ) THEN + CREATE POLICY "Project owners can create tasks" ON public.tasks + FOR INSERT TO authenticated WITH CHECK ( + EXISTS ( + SELECT 1 FROM public.projects + WHERE projects.id = tasks.project_id + AND projects.owner_id = auth.uid() + ) + ); + END IF; + + IF NOT EXISTS ( + SELECT 1 FROM pg_policies + WHERE schemaname = 'public' + AND tablename = 'tasks' + AND policyname = 'Project owners can update tasks' + ) THEN + CREATE POLICY "Project owners can update tasks" ON public.tasks + FOR UPDATE TO authenticated USING ( + EXISTS ( + SELECT 1 FROM public.projects + WHERE projects.id = tasks.project_id + AND projects.owner_id = auth.uid() + ) + ) WITH CHECK ( + EXISTS ( + SELECT 1 FROM public.projects + WHERE projects.id = tasks.project_id + AND projects.owner_id = auth.uid() + ) + ); + END IF; + + IF NOT EXISTS ( + SELECT 1 FROM pg_policies + WHERE schemaname = 'public' + AND tablename = 'tasks' + AND policyname = 'Project owners can delete tasks' + ) THEN + CREATE POLICY "Project owners can delete tasks" ON public.tasks + FOR DELETE TO authenticated USING ( + EXISTS ( + SELECT 1 FROM public.projects + WHERE projects.id = tasks.project_id + AND projects.owner_id = auth.uid() + ) + ); + END IF; +END $$; + +NOTIFY pgrst, 'reload schema'; diff --git a/frontend/.env.example b/frontend/.env.example new file mode 100644 index 0000000000000000000000000000000000000000..a2a665d7a0e351e4f1d77a6a0bbdd1a5f7e2d9ec --- /dev/null +++ b/frontend/.env.example @@ -0,0 +1,6 @@ +VITE_API_URL=http://localhost:8000 +VITE_SUPABASE_URL=https://your-project-id.supabase.co +VITE_SUPABASE_ANON_KEY=your-anon-key-here + +# Optional: Sentry +VITE_SENTRY_DSN=your-sentry-dsn diff --git a/frontend/.gitignore b/frontend/.gitignore new file mode 100644 index 0000000000000000000000000000000000000000..2e51b702a17e1c2466e3c11fe0e18c57695d7598 --- /dev/null +++ b/frontend/.gitignore @@ -0,0 +1,44 @@ +# 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? +# Python virtual env +venv/ +backend/venv/ +**/venv/ + +# Python cache +__pycache__/ +*.pyc +*.pyd + +# Env files +.env +.env.* +**/.env +**/.env.* + +# Permitir ejemplos sin secretos +!.env.example +!**/.env.example + diff --git a/frontend/Dockerfile b/frontend/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..55c152a3050e1f265a98a5c518b75139a528c7ea --- /dev/null +++ b/frontend/Dockerfile @@ -0,0 +1,20 @@ +# Build stage +FROM node:20-slim AS build-stage + +WORKDIR /app + +COPY package*.json ./ +RUN npm install + +COPY . . +RUN npm run build + +# Production stage +FROM nginx:stable-alpine AS production-stage + +COPY --from=build-stage /app/dist /usr/share/nginx/html +COPY --from=build-stage /app/nginx.conf /etc/nginx/conf.d/default.conf + +EXPOSE 80 + +CMD ["nginx", "-g", "daemon off;"] diff --git a/frontend/README.md b/frontend/README.md new file mode 100644 index 0000000000000000000000000000000000000000..7dbf7ebf3b2a3d84ad526bc47810d1d211331b8b --- /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 [Oxc](https://oxc.rs) +- [@vitejs/plugin-react-swc](https://github.com/vitejs/vite-plugin-react/blob/main/packages/plugin-react-swc) uses [SWC](https://swc.rs/) + +## 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/capacitor.config.ts b/frontend/capacitor.config.ts new file mode 100644 index 0000000000000000000000000000000000000000..fa18ce75cc3cdf9f255b88cc02f890229ed556dd --- /dev/null +++ b/frontend/capacitor.config.ts @@ -0,0 +1,9 @@ +import type { CapacitorConfig } from '@capacitor/cli'; + +const config: CapacitorConfig = { + appId: 'com.aubm.app', + appName: 'Aubm', + webDir: 'dist' +}; + +export default config; diff --git a/frontend/eslint.config.js b/frontend/eslint.config.js new file mode 100644 index 0000000000000000000000000000000000000000..c2a386b181c6464d931bb24f298b9fd085ae3000 --- /dev/null +++ b/frontend/eslint.config.js @@ -0,0 +1,25 @@ +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: { + globals: globals.browser, + }, + rules: { + 'react-hooks/set-state-in-effect': 'off', + }, + }, +]) diff --git a/frontend/index.html b/frontend/index.html new file mode 100644 index 0000000000000000000000000000000000000000..42bcd27ffa5e0759245a27769da8b70429385fb6 --- /dev/null +++ b/frontend/index.html @@ -0,0 +1,14 @@ + + + + + + + frontend + + +
+ + + + diff --git a/frontend/nginx.conf b/frontend/nginx.conf new file mode 100644 index 0000000000000000000000000000000000000000..80fcbc792ecb28fbfadd9e225dcc9dd01f2afc4b --- /dev/null +++ b/frontend/nginx.conf @@ -0,0 +1,20 @@ +server { + listen 80; + server_name localhost; + + location / { + root /usr/share/nginx/html; + index index.html index.htm; + try_files $uri $uri/ /index.html; + } + + # Proxy API requests to the backend if needed + # location /api/ { + # proxy_pass http://backend:8000/; + # } + + error_page 500 502 503 504 /50x.html; + location = /50x.html { + root /usr/share/nginx/html; + } +} diff --git a/frontend/package-lock.json b/frontend/package-lock.json new file mode 100644 index 0000000000000000000000000000000000000000..cf1bd635f0d35f069ca56ab50ec69c2e36efc2f0 --- /dev/null +++ b/frontend/package-lock.json @@ -0,0 +1,4442 @@ +{ + "name": "frontend", + "version": "0.0.0", + "lockfileVersion": 3, + "requires": true, + "packages": { + "": { + "name": "frontend", + 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"@capacitor/core": "^8.3.1", + "@capacitor/ios": "^8.3.1", + "@supabase/supabase-js": "^2.105.1", + "framer-motion": "^12.38.0", + "i18next": "^26.0.8", + "lucide-react": "^1.14.0", + "react-i18next": "^17.0.6", + "react-router-dom": "^7.1.5", + "@sentry/react": "^8.54.0", + "tslib": "^2.8.1" + }, + "devDependencies": { + "@eslint/js": "^10.0.1", + "@types/node": "^24.12.2", + "@types/react": "^18.3.28", + "@types/react-dom": "^18.3.7", + "@vitejs/plugin-react": "^4.7.0", + "eslint": "^10.2.1", + "eslint-plugin-react-hooks": "^7.1.1", + "eslint-plugin-react-refresh": "^0.5.2", + "globals": "^17.5.0", + "react": "^18.3.1", + "react-dom": "^18.3.1", + "typescript": "~6.0.2", + "typescript-eslint": "^8.58.2", + "vite": "^6.4.2" + } +} diff --git a/frontend/public/favicon.svg b/frontend/public/favicon.svg new file mode 100644 index 0000000000000000000000000000000000000000..6893eb13237060adc0c968a690149a49faa2d7d3 --- /dev/null +++ b/frontend/public/favicon.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/frontend/public/icons.svg b/frontend/public/icons.svg new file mode 100644 index 0000000000000000000000000000000000000000..e9522193d9f796a9748e9ad8c952a5df73c87db9 --- /dev/null +++ b/frontend/public/icons.svg @@ -0,0 +1,24 @@ + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/frontend/public/runtime-config.js b/frontend/public/runtime-config.js new file mode 100644 index 0000000000000000000000000000000000000000..e7418b60147ac96e79948921babf0a95fafffc6a --- /dev/null +++ b/frontend/public/runtime-config.js @@ -0,0 +1 @@ +window.__AUBM_CONFIG__ = {}; diff --git a/frontend/src/App.css b/frontend/src/App.css new file mode 100644 index 0000000000000000000000000000000000000000..f90339d8f765fa2c69d9a341959a8ddb9fff5720 --- /dev/null +++ b/frontend/src/App.css @@ -0,0 +1,184 @@ +.counter { + font-size: 16px; + padding: 5px 10px; + border-radius: 5px; + color: var(--accent); + background: var(--accent-bg); + border: 2px solid transparent; + transition: border-color 0.3s; + margin-bottom: 24px; + + &:hover { + border-color: var(--accent-border); + } + &:focus-visible { + outline: 2px solid var(--accent); + outline-offset: 2px; + } +} + +.hero { + position: relative; + + .base, + .framework, + .vite { + inset-inline: 0; + margin: 0 auto; + } + + .base { + width: 170px; + position: relative; + z-index: 0; + } + + .framework, + .vite { + position: absolute; + } + + .framework { + z-index: 1; + top: 34px; + height: 28px; + transform: perspective(2000px) rotateZ(300deg) rotateX(44deg) rotateY(39deg) + scale(1.4); + } + + .vite { + z-index: 0; + top: 107px; + height: 26px; + width: auto; + transform: perspective(2000px) rotateZ(300deg) rotateX(40deg) rotateY(39deg) + scale(0.8); + } +} + +#center { + display: flex; + flex-direction: column; + gap: 25px; + place-content: center; + place-items: center; + flex-grow: 1; + + @media (max-width: 1024px) { + padding: 32px 20px 24px; + gap: 18px; + } +} + +#next-steps { + display: flex; + border-top: 1px solid var(--border); + text-align: left; + + & > div { + flex: 1 1 0; + padding: 32px; + @media (max-width: 1024px) { + padding: 24px 20px; + } + } + + .icon { + margin-bottom: 16px; + width: 22px; + height: 22px; + } + + @media (max-width: 1024px) { + flex-direction: column; + text-align: center; + } +} + +#docs { + border-right: 1px solid var(--border); + + @media (max-width: 1024px) { + border-right: none; + border-bottom: 1px solid var(--border); + } +} + +#next-steps ul { + list-style: none; + padding: 0; + display: flex; + gap: 8px; + margin: 32px 0 0; + + .logo { + height: 18px; + } + + a { + color: var(--text-h); + font-size: 16px; + border-radius: 6px; + background: var(--social-bg); + display: flex; + padding: 6px 12px; + align-items: center; + gap: 8px; + text-decoration: none; + transition: box-shadow 0.3s; + + &:hover { + box-shadow: var(--shadow); + } + .button-icon { + height: 18px; + width: 18px; + } + } + + @media (max-width: 1024px) { + margin-top: 20px; + flex-wrap: wrap; + justify-content: center; + + li { + flex: 1 1 calc(50% - 8px); + } + + a { + width: 100%; + justify-content: center; + box-sizing: border-box; + } + } +} + +#spacer { + height: 88px; + border-top: 1px solid var(--border); + @media (max-width: 1024px) { + height: 48px; + } +} + +.ticks { + position: relative; + width: 100%; + + &::before, + &::after { + content: ''; + position: absolute; + top: -4.5px; + border: 5px solid transparent; + } + + &::before { + left: 0; + border-left-color: var(--border); + } + &::after { + right: 0; + border-right-color: var(--border); + } +} diff --git a/frontend/src/App.tsx b/frontend/src/App.tsx new file mode 100644 index 0000000000000000000000000000000000000000..957f2f689018cbcb478d79307ce895514545ac08 --- /dev/null +++ b/frontend/src/App.tsx @@ -0,0 +1,227 @@ +import React, { useState } from 'react'; +import { + Bot, + LayoutDashboard, + Settings, + PlusCircle, + Terminal, + Menu, + X, + LogOut, + MessageSquare, + ShoppingBag, + Volume2, + Box, + Activity +} from 'lucide-react'; +import { motion, AnimatePresence } from 'framer-motion'; +import { useAuth } from './context/useAuth'; +import Login from './components/Login'; +import DebateView from './components/DebateView'; +import Marketplace from './components/Marketplace'; +import VoiceControl from './components/VoiceControl'; +import SpatialDashboard from './components/SpatialDashboard'; +import MonitoringView from './components/MonitoringView'; +import NewProject from './components/NewProject'; +import SettingsView from './components/SettingsView'; +import Dashboard from './components/Dashboard'; +import ProjectDetail from './components/ProjectDetail'; +import AgentsView from './components/AgentsView'; + +type AppTab = 'dashboard' | 'project-detail' | 'agents' | 'marketplace' | 'debate' | 'voice' | 'spatial' | 'monitoring' | 'new-project' | 'settings'; + +const App: React.FC = () => { + const { session, loading, signOut } = useAuth(); + const [activeTab, setActiveTab] = useState('dashboard'); + const [selectedProjectId, setSelectedProjectId] = useState(null); + const [isSidebarOpen, setIsSidebarOpen] = useState(() => typeof window === 'undefined' || window.innerWidth >= 900); + + const navigateTo = (tab: AppTab) => { + setActiveTab(tab); + if (typeof window !== 'undefined' && window.innerWidth < 900) { + setIsSidebarOpen(false); + } + }; + + if (loading) return null; // Or a premium loading spinner + if (!session) return ; + + return ( +
+ {isSidebarOpen && + +
+
+ ● + API Online +
+
+ + +
+ {activeTab === 'dashboard' && ( + navigateTo('new-project')} + onOpenProject={(projectId) => { + setSelectedProjectId(projectId); + navigateTo('project-detail'); + }} + /> + )} + {activeTab === 'project-detail' && selectedProjectId && ( + navigateTo('dashboard')} /> + )} + + {activeTab === 'debate' && } + {activeTab === 'agents' && } + {activeTab === 'marketplace' && } + {activeTab === 'voice' && } + {activeTab === 'spatial' && } + {activeTab === 'monitoring' && } + {activeTab === 'new-project' && navigateTo('dashboard')} />} + {activeTab === 'settings' && } +
+ + {/* Real-time Console Placeholder */} +
+
+ + Agent Console +
+
+
[System] Initializing orchestrator...
+
[Orchestrator] Scanning for pending tasks...
+
[Agent: Researcher] Starting web search for "Market trends 2026"...
+
+
+ +
+ ); +}; + +const SidebarItem: React.FC<{ icon: React.ReactNode, label: string, active?: boolean, onClick: () => void }> = ({ icon, label, active, onClick }) => ( + +); + +export default App; diff --git a/frontend/src/assets/react.svg b/frontend/src/assets/react.svg new file mode 100644 index 0000000000000000000000000000000000000000..6c87de9bb3358469122cc991d5cf578927246184 --- /dev/null +++ b/frontend/src/assets/react.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/frontend/src/assets/vite.svg b/frontend/src/assets/vite.svg new file mode 100644 index 0000000000000000000000000000000000000000..5101b674df391399da71c767aa5c976426c9dc7a --- /dev/null +++ b/frontend/src/assets/vite.svg @@ -0,0 +1 @@ +Vite diff --git a/frontend/src/components/AgentsView.tsx b/frontend/src/components/AgentsView.tsx new file mode 100644 index 0000000000000000000000000000000000000000..0c6153b03779ca8b496fe392e25285e9b15585a8 --- /dev/null +++ b/frontend/src/components/AgentsView.tsx @@ -0,0 +1,177 @@ +import React, { useEffect, useMemo, useState } from 'react'; +import { Bot, CheckCircle2, PlusCircle, RefreshCw } from 'lucide-react'; +import { motion } from 'framer-motion'; +import { supabase } from '../services/supabase'; +import { useAuth } from '../context/useAuth'; +import { getDefaultModel, getDefaultProvider, providerOptions } from '../services/llmConfig'; +import type { SupportedProvider } from '../services/llmConfig'; + +interface Agent { + id: string; + name: string; + role: string | null; + api_provider: SupportedProvider; + model: string; + system_prompt: string | null; + created_at: string; +} + +const AgentsView: React.FC = () => { + const { user } = useAuth(); + const defaultProvider = useMemo(() => getDefaultProvider(), []); + const [agents, setAgents] = useState([]); + const [name, setName] = useState(''); + const [role, setRole] = useState(''); + const [provider, setProvider] = useState(defaultProvider); + const [model, setModel] = useState(getDefaultModel(defaultProvider)); + const [systemPrompt, setSystemPrompt] = useState(''); + const [loading, setLoading] = useState(false); + const [saving, setSaving] = useState(false); + const [message, setMessage] = useState(null); + const [error, setError] = useState(null); + + const providerModels = providerOptions.find((option) => option.id === provider)?.models ?? []; + + const loadAgents = async () => { + setLoading(true); + setError(null); + + const { data, error: selectError } = await supabase + .from('agents') + .select('id,name,role,api_provider,model,system_prompt,created_at') + .order('created_at', { ascending: false }); + + if (selectError) setError(selectError.message); + setAgents((data ?? []) as Agent[]); + setLoading(false); + }; + + useEffect(() => { + loadAgents(); + }, []); + + const handleProviderChange = (value: SupportedProvider) => { + setProvider(value); + setModel(getDefaultModel(value)); + }; + + const createAgent = async (event: React.FormEvent) => { + event.preventDefault(); + if (!user) { + setError('You must be signed in to create an agent.'); + return; + } + + setSaving(true); + setError(null); + setMessage(null); + + const { error: insertError } = await supabase.from('agents').insert({ + user_id: user.id, + name, + role, + api_provider: provider, + model, + system_prompt: systemPrompt || `You are ${name}, acting as ${role || 'an AI agent'}.` + }); + + if (insertError) { + setError(insertError.message); + } else { + setName(''); + setRole(''); + setSystemPrompt(''); + setMessage('Agent created successfully.'); + await loadAgents(); + } + + setSaving(false); + }; + + return ( + +
+
+ +
+

Agents

+

Create custom agents and choose the LLM provider used at runtime.

+
+
+ +
+ + {error &&
{error}
} + {message &&
{message}
} + +
+
+
+ +

Create Agent

+
+
+ + +
+ + +
+