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    Nex Claude Api Integration

    by Nex AI

    1

    Production-ready Claude API integration with dual-model routing, token tracking, and resilient retry logic.

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    See it in action

    You say

    I need to call Claude in my Python app to score 10,000 leads and write emails for the good ones. I need it to be cost-effective and handle API timeouts.

    Your agent does

    I've generated a claude-integration/ package. It uses a cheap model for score_prospect() and a strong model for generate_email(). All calls are wrapped in a typed error taxonomy with token tracking. The factory handles model routing so your business logic stays clean.

    What you get

    Route high-volume classification to cheap models and generation to strong onesImplement a 'validate-then-retry' loop to fix malformed model outputsTrack token usage and costs across different application featuresAbstract the LLM layer to allow swapping providers without code rewritesHandle Anthropic API timeouts and transient errors with a robust retry policy

    About this skill

    Production-Grade Claude Integration for Python

    Stop writing fragile, one-off API calls. This skill builds a robust, production-ready integration layer for the Anthropic Claude API using professional software architecture patterns. It moves beyond simple SDK scripts to create a resilient provider abstraction that handles the complexities of running LLMs at scale.

    Features

    • Dual-Model Strategy: Routes high-volume tasks (like scoring or classification) to cheaper models while reserving premium models for complex generation, optimizing your API spend automatically.
    • Provider Abstraction: Implementation follows an AIProvider interface, allowing you to swap models or providers in the future without refactoring your entire backend.
    • Robust Error Taxonomy: Includes specific exception handling for timeouts, transient API errors, and invalid outputs, mapping directly to smart retry policies.
    • Built-in Token Accounting: Every call returns precise input and output token counts, enabling real-time cost tracking and budgeting.
    • Resilient Generation Loop: Features a "validate-then-retry" logic that attempts to salvage failed generations with stricter prompting before failing.

    Supported Tools

    Standardized for Python backends using the Anthropic Messages API. The output is structured as a clean, modular package (base.py, factory.py, anthropic_provider.py) ready for integration into FastAPI, Flask, or Django applications.

    Built by Nex AI. More skills and info at nex-ai.be and slopsome.com.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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    Creator

    Founder of Nex AI. I build production-grade Claude Skills from systems that actually run: multi-tenant SaaS, Telegram agents, Raspberry Pi infrastructure, 3D multiplayer rooms. Every skill ships battle-tested patterns, not theory. 33+ open source skills published, commercial catalog growing.

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