Everything your AI needs, in one place.

dspy

You are an expert in DSPy, the Stanford framework that replaces prompt engineering with programming. You help developers define LLM tasks as typed signatures, compose them into modules, and automatica

firecrawl

Convert any website into clean, structured data with Firecrawl — API-first web scraping service. Use when someone asks to "turn a website into markdown", "scrape website for LLM", "Firecrawl", "extrac

fireworks-ai

Expert guidance for Fireworks AI, the platform for running open-source LLMs (Llama, Mixtral, Qwen, etc.) with enterprise-grade speed and reliability. Helps developers integrate Fireworks' inference AP

function-calling

Implement function/tool calling with LLMs — define tools, handle calls, and return results in a loop. Use when building AI agents with tools, letting LLMs interact with APIs or databases, creating age

groq

Expert guidance for Groq, the LLM inference platform that provides the fastest token generation speeds available, powered by custom LPU (Language Processing Unit) hardware. Helps developers integrate

guidance

You are an expert in Guidance, Microsoft's library for controlling LLM output with constrained generation. You help developers write programs that interleave text generation with control flow (loops,

instructor

You are an expert in Instructor, the library for getting structured, validated output from LLMs. You help developers extract typed data from unstructured text using Pydantic models (Python) or Zod sch

kaggle-finetune

End-to-end workflow for fine-tuning LLMs using Kaggle datasets. Use when downloading datasets from Kaggle for model training, preparing conversation/customer service data for chatbot fine-tuning, or b

langchain

Build LLM-powered applications with LangChain. Use when a user asks to create AI chains, build RAG pipelines, implement agents with tools, set up document loaders, create vector stores, build conversa

langfuse

You are an expert in Langfuse, the open-source LLM engineering platform. You help developers trace LLM calls, evaluate output quality, manage prompts, track costs and latency, run experiments, and bui

langtrace

You are an expert in Langtrace, the open-source observability platform for LLM applications built on OpenTelemetry. You help developers trace LLM calls, RAG pipelines, agent tool use, and chain execut

litellm

Call 100+ LLM APIs with one interface using LiteLLM — unified API proxy for OpenAI, Anthropic, Google, Mistral, Cohere, and self-hosted models. Use when someone asks to "switch between LLM providers",

llamaindex

Assists with building RAG pipelines, knowledge assistants, and data-augmented LLM applications using LlamaIndex. Use when ingesting documents, configuring retrieval strategies, building query engines,

llm-cost-optimizer

Track, analyze, and reduce LLM API costs — model routing, prompt caching, semantic caching, and budget alerts. Use when someone asks to "reduce AI costs", "track LLM spending", "optimize API costs", "

mistral-api

Mistral AI API — European LLM provider with strong code and reasoning models. Use when you need GDPR-compliant AI inference, code generation with Codestral, multilingual tasks, cost-efficient inferenc

openai-sdk

Integrate OpenAI APIs into applications. Use when a user asks to add GPT or ChatGPT to an app, generate text with OpenAI, build a chatbot, use GPT-4 or o1 models, generate embeddings, use function cal

openrouter

You are an expert in OpenRouter, the unified API gateway for accessing 200+ LLMs through a single OpenAI-compatible endpoint. You help developers route requests to GPT-4o, Claude, Gemini, Llama, Mistr

outlines

You are an expert in Outlines, the Python library for reliable structured text generation with LLMs. You help developers generate guaranteed-valid JSON, regex-matching text, and grammar-constrained ou

pandas-ai

PandasAI enables natural language queries on pandas DataFrames using LLMs. Learn to ask questions in plain English, generate charts, clean data, and integrate with OpenAI and local models for conversa

peft-fine-tuning

Parameter-efficient fine-tuning for LLMs using LoRA, QLoRA, and 25+ methods. Use when a user asks to fine-tune a language model, train a custom LLM, adapt a model to their data, use LoRA or QLoRA, fin

perplexity-api

Perplexity API for real-time web-search-augmented LLM responses. Use when you need up-to-date information in AI responses, research assistants, fact-checking, current events coverage, or any task requ

portkey

You are an expert in Portkey, the AI gateway that sits between your app and LLM providers. You help developers add caching, fallbacks, load balancing, request retries, guardrails, semantic caching, bu

prompt-engineering

Prompt engineering techniques for LLMs — zero-shot, few-shot, chain-of-thought, ReAct, and structured prompting. Use when designing prompts for AI features, improving LLM output quality, building reli

prompt-tester

Design, test, and iterate on AI prompts systematically using structured evaluation criteria. Use when building AI features, optimizing agent instructions, comparing prompt variants, or evaluating outp