The Anthropic Claude API — Python and TypeScript SDKs, streaming, tool use, batches, prompt caching, files, vision, and agentic loops.
The Anthropic Message Batches API — create, poll, retrieve, and stream results at 50% off list price for asynchronous bulk processing of thousands of Claude requests.
The Anthropic Files API — upload PDFs, images, and text once and reference them by `file_id` across multiple messages, with citations, lifecycle management, and Workbench integration.
Anthropic prompt caching — `cache_control`, 5-minute TTL, 1-hour beta, cache breakpoints, cost math, multi-turn caching patterns, and recipes for system prompts, tools, and documents.
Complete Python SDK reference for the Anthropic Claude API — messages, streaming, vision, extended thinking, prompt caching, batch processing, and token counting.
Streaming responses from the Anthropic API — server-sent events, event types, async iteration in Python and TypeScript, partial tool input, error handling, and retry strategies.
Define tools, handle tool calls, run agentic loops, use parallel tools, and manage errors with the Claude API.
Complete TypeScript SDK reference for the Anthropic Claude API — install, messages.create, streaming, tool use, vision, types, and Node/Deno/Bun integration.
Anthropic's agentic CLI — installation, configuration, slash commands, hooks, MCP integration, subagents, skills, statusline, and power-user workflows.
Install, configure, and use Claude Code — Anthropic's agentic CLI. Covers interactive mode, headless scripting, CLAUDE.md memory files, the project/user settings hierarchy, IDE integration, and authentication.
Model Context Protocol (MCP) framework overview. Covers client/server architecture, stdio vs SSE vs streamable HTTP transports, FastMCP, mcp-go, the Python and TypeScript SDKs, and comparison with custom tool servers.
Claude Code, Codex CLI, the Claude API, and prompt engineering — practical reference for building with and using large language models.
Build LLM-powered pipelines with LangChain. Covers LCEL chains, chat models, prompts, output parsers, tools, agents, retrievers, memory, and streaming.
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