llamafarm
llama-farm/llamafarm/CLAUDE.md
Modular AI development framework. Build AI apps locally with YAML configs, CLI, and your own data. This repository consists of multiple components CLI Description: Primary user interface for LlamaFarm. Orchestrates local service lifecycle (starting/stopping server, RAG, and runtime processes), handles project initialization (lf init), provides interactive chat sessions (lf chat), and coordinates model downloads. Tech Stack: Go 1.24+, Cobra Directory: cli/ Server Description: Central API gateway that coordinates all LlamaFarm services. Routes inference requests to the Universal Runtime, dispatches RAG…
# LlamaFarm Modular AI development framework. Build AI apps locally with YAML configs, CLI, and your own data. ## Monorepo overview This repository consists of multiple components **CLI** Description: Primary user interface for LlamaFarm. Orchestrates local service lifecycle (starting/stopping server, RAG, and runtime processes), handles project initialization (`lf init`), provides interactive chat sessions (`lf chat`), and coordinates model downloads. Tech Stack: Go 1.24+, Cobra Directory: `cli/` **Server** Description: Central API gateway that coordinates all LlamaFarm services. Routes inference requests to the Universal Runtime, dispatches RAG tasks to Celery workers, and serves the Designer UI in production. Tech Stack: Python 3.12+, FastAPI, Celery Directory: `server/` **RAG** Description: Celery-based worker for retrieval-augmented generation. Handles document ingestion, embedding generation, vector storage, and semantic search. Tech Stack: Python 3.11+, LlamaIndex, ChromaDB, Celery Directory: `rag/` **Universal Runtime** Description: Local ML inference server with OpenAI-compatible API. Supports text generation, embeddings, OCR, anomaly detection, and classification across HuggingFace and GGUF models. Tech Stack: Python 3.11+, transformers, torch, llamafarm-llama (LlamaFarm's own llama.cpp bindings) Directory: `runtimes/universal/` **Designer** Description: Browser-based project workbench for building AI applications. Provides config editing, chat testing, dataset management, RAG configuration, and model selection. Tech Stack: TypeScript, React, Vite, TanStack Query Directory: `designer/` **Build** Description: Nx monorepo configuration for cross-project builds and development workflows. Tech Stack: Nx workspace Directory: (root) See `.claude/rules/` for detailed guidelines. ## Building and Running - Use the `nx` package to build and run projects within this monorepo. - Check the `project.json` files at the repo root and project directories for available scripts ### Examples - `nx dev` - Starts server, rag, and designer together - `nx run generate-types` - Compiles the llamfarm schema and generates python and go types - `nx start server` - Starts the server - `nx start rag` - Starts the RAG celery worker - `nx start universal-runtime` - Starts the universal runtime - `nx build cli` - Builds the CLI binary and places it at `./dist/lf`
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