AI Tools and APIs

Stand up a working MCP server from scratch with Python’s FastMCP SDK, define custom tools with type hints, and connect it to Claude Desktop in under 30 minutes.

Create production-ready AI chat apps with streaming responses, tool calling, and provider switching using the Vercel AI SDK

Step-by-step guide to building production-ready AI search apps with Haystack’s component-based pipeline architecture.

Wrap any Python ML model in a web UI with Gradio and deploy it to Hugging Face Spaces in minutes

Skip the DevOps headache. Deploy production-ready AI models with automatic GPU scaling, no Kubernetes required.

Get sub-second LLM responses from Groq’s API with its OpenAI-compatible interface and custom AI accelerator chips

Use the Replicate API to run open-source AI models in the cloud with simple Python calls and pay per second

Call foundation models on AWS Bedrock using Python, with examples for inference, streaming, and RAG.

Cut your Claude API costs in half by batching requests with the Anthropic Message Batches API

Get Claude to cite its sources with exact quotes using the Anthropic citations API in Python

Stop re-uploading documents every request – use the Files API to upload once and reference by file ID

Send images to Claude for analysis, OCR, and visual Q&A using the Anthropic Python SDK with base64 and URL inputs

Get Claude to show its work on hard problems using the extended thinking API with budget tokens

Run high-volume Claude workloads at half price with the Message Batches API — batch creation, polling, and result parsing.

Wire up function calling across multiple turns with Claude, handling tool_use and tool_result messages

Extract data, summarize, and answer questions about PDFs using Claude’s built-in document processing

Cache system prompts, documents, and tool definitions with Anthropic’s prompt caching to slash latency and API costs

Pre-calculate token counts and costs for Claude API calls to manage your budget effectively

Reduce Claude API costs for tool-heavy agents using token-efficient tool mode and schema caching.

Stream Claude responses token-by-token into your UI with the Anthropic Python SDK streaming methods

Wire up Claude’s tool use to build agents that call functions, chain tools together, and handle multi-step tasks

Build multi-model chat apps with a single API using AWS Bedrock Converse for Claude, Llama, and Mistral

Get blazing-fast LLM inference from Cerebras hardware using their OpenAI-compatible Python API

Boost your search pipeline accuracy by reranking results with Cohere’s cross-encoder rerank models

Call DeepSeek’s R1 and V3 models for code and reasoning through their OpenAI-compatible API in Python.

Use the Fireworks AI API to get fast inference from Llama 3.1 70B, Mixtral, and other open models via the OpenAI Python SDK.

Send text, images, videos, and PDFs to Gemini via the Vertex AI SDK with structured JSON output and GCP authentication

Connect to OpenAI’s Realtime API over WebSockets for real-time voice input, text output, and function calling

Call 400+ LLMs from every major provider through a single API key and endpoint with OpenRouter.

Build AI-powered search into your apps using Perplexity’s Sonar models and the OpenAI SDK.

Call Stability AI’s hosted API to generate, edit, and upscale images without managing GPU infrastructure

Deploy open-source LLMs like Llama 3 and Mixtral at scale using Together AI’s fast inference API with Python examples.

Embed text and code with Voyage AI’s Python SDK to build fast similarity search and code retrieval tools

Set up W&B Weave to log every LLM call, track prompt changes, and visualize token costs across experiments

Connect to xAI’s Grok models using the OpenAI SDK with custom base URL for chat and tool use

Use Cohere’s chat, embed, rerank, and classify endpoints to build assistants with built-in citation grounding and tool use.

Chain prompts, models, and parsers into clean AI workflows using LCEL’s pipe syntax and built-in streaming

Build production apps with Gemini using the Python SDK for text generation, multimodal input, tool use, and streaming

Run open-source models through Hugging Face Inference Providers: chat completion, image generation, streaming, and error handling

Set up wandb experiment tracking with real code for logging, hyperparameter sweeps, artifacts, and framework integrations

Step-by-step guide to building your first MCP server in Python and wiring it into Claude Desktop

Route requests across OpenAI, Anthropic, Azure, and dozens more providers using a single Python SDK and proxy server.

Learn the Anthropic Python SDK basics: messages, streaming, system prompts, and error handling

Set up the Mistral Python SDK for chat completions, Codestral, function calling, and streaming

Create AI agents that hand off tasks, call tools, and run with built-in tracing using OpenAI’s production agent framework.