Vibe Coding DiscoverLazyLLM
View on GitHubEasiest and laziest way for building multi-agent LLMs applications.
LazyLLM is a Python low-code framework for assembling multi-agent LLM apps from modular pipelines (pipeline, parallel, switch, loop). It bundles RAG, tool-calling agents, one-click deployment, and unified online/local model fine-tuning and inference via vLLM, LightLLM or LMDeploy.
Use Cases
Build multi-agent LLM applications with low codeRAG knowledge base Q&A pipelinesDeploy chatbots with a web UIMultimodal chatbot with intent recognitionFine-tune and deploy local modelsTool-calling and search agentsText-to-image and text-to-music generationSpeech recognition and text-to-speech appsOne-click container/K8s deployment of AI appsSwitch between online and local model providers
Built With
- Language
- Python
- Frameworks
- vLLM · LightLLM · LMDeploy · LLaMA-Factory · PEFT · Collie · Milvus · FastAPI · Pydantic · LangChain · LlamaIndex · PyTorch
Tags
multi-agent · llm · low-code · rag · fine-tuning · model-deployment · workflow-orchestration · pipeline · agents · tool-calling · vector-database · multimodal · inference · cli