anthropic-sdk
Integrate Claude AI into your applications with the Anthropic SDK. Supports Messages API, streaming, tool use (function calling), vision, extended thinking, and system prompts.
Explore AI agent skills related to function calling. Browse installable Claude Code and automation skills on Mentalok Skills Hub.
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14 skills found
Integrate Claude AI into your applications with the Anthropic SDK. Supports Messages API, streaming, tool use (function calling), vision, extended thinking, and system prompts.
Expert technical guidance for building production-ready applications with Anthropic's Claude API, covering Messages API, tool use, streaming, vision, and prompt engineering.
Patterns and reference implementation for integrating the Claude API into applications, including chat, streaming, tool use, and structured JSON output.
Implement function-calling tools in Prompture agents using ToolRegistry, decorators, and automatic schema generation to enable LLM interaction with external code.
Build and manage MCP servers using the FastMCP framework. Guide for creating tools, resources, prompts, Claude Desktop integration, and deployment with Python and TypeScript.
Expert guidance for Claude Messages API: structured outputs, prompt caching, tool use, and migration from deprecated Claude 3.x models to 4.5. Prevents common API errors.
Anthropic Claude integration patterns: streaming, RAG with pgvector, tool use, model selection (Haiku/Sonnet/Opus), prompt caching, and cost management for AI-powered engineering.
Unified API for LLM function calling and tool use across OpenAI, Anthropic, Google, and Ollama with standardized schema definitions and execution patterns.
Multi-model LLM integration patterns for Claude, GPT, Gemini, and Ollama. Features API handling, prompt engineering, token management, and model-agnostic orchestration.
A unified interface for integrating and managing LLM chat providers like OpenAI, Anthropic, Google, Azure, and Bedrock within LangChain applications.
Expert advisor for implementing Anthropic's structured outputs. Choose between JSON mode and strict tool use for guaranteed schema compliance and validated agentic workflows.
Expert guidance for designing and implementing high-quality tool schemas and descriptions for Julia's agent systems, ensuring reliable tool execution and reducing model hallucinations.