LLM Providers, Instruction Libraries & Prompt Tools

These libraries focus on interfacing with large language models, supporting prompt engineering, agent creation, and tool chaining. They're essential for building chatbots, RAG systems, AI assistants, and agent workflows.

Tools:

• [LLM Model Providers] – APIs from platforms like OpenAI, Anthropic, Hugging Face, Together.ai, and Cohere. Used for accessing foundational models.

• Instructor – Ensures LLM responses match strict Python schemas using Pydantic and function signature parsing. Reduces hallucinations in AI apps.

• [LLM Frameworks (LangChain, LlamaIndex, DSPy)] – DSPy focuses on declarative LLM programming, while LangChain and LlamaIndex offer agent/tool memory, vector search integration, and chat flows.