nex-claude-api-integration
Production-ready Claude API integration with dual-model routing, token tracking, and resilient retry logic.
- Route high-volume classification to cheap models and generation to strong ones
- Implement a 'validate-then-retry' loop to fix malformed model outputs
- Track token usage and costs across different application features
$9
· or 45 creditsSecure checkout via Stripe
Included in download
- Route high-volume classification to cheap models and generation to strong ones
- Implement a 'validate-then-retry' loop to fix malformed model outputs
- terminal, env_vars automation included
Sample input
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.
Sample output
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.
nex-claude-api-integration
Production-ready Claude API integration with dual-model routing, token tracking, and resilient retry logic.
$9
· or 45 creditsSecure checkout via Stripe
Included in download
- Route high-volume classification to cheap models and generation to strong ones
- Implement a 'validate-then-retry' loop to fix malformed model outputs
- terminal, env_vars automation included
- Instant install
Sample input
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.
Sample output
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.
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
AIProviderinterface, 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.
Use Cases
- Route high-volume classification to cheap models and generation to strong ones
- Implement a 'validate-then-retry' loop to fix malformed model outputs
- Track token usage and costs across different application features
- Abstract the LLM layer to allow swapping providers without code rewrites
- Handle Anthropic API timeouts and transient errors with a robust retry policy
How to Install
mkdir -p ~/.claude/skills && curl -sL https://www.agensi.io/api/install/nex-claude-api-integration -o /tmp/nex-claude-api-integration.zip && unzip -o /tmp/nex-claude-api-integration.zip -d ~/.claude/skills && rm /tmp/nex-claude-api-integration.zipFree skills install directly. Paid skills require purchase - use the download button above after buying.
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