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Building a Resilient AI Client Around Hermes Agent

Building a Resilient AI Client Around Hermes Agent When testing NousResearch/hermes-agent as an external integration, the failure mode I cared about was not model quality. It was what happened when an upstream provider returned HTTP 502, 503, or 504 while a user-facing request was still active. A client that retries immediately can amplify an outage. A client without a timeout can hold sockets…

The article discusses the importance of building a resilient AI client around the Hermes Agent, particularly when dealing with upstream provider failures such as HTTP 502, 503, or 504 errors. It highlights the pitfalls of immediate retries, lack of timeouts, and fallback mechanisms that can exacerbate issues or hide underlying problems.

The author provides a Python example that uses an OpenAI-compatible endpoint to create a wrapper that explicitly defines failure boundaries, separating retryable transport failures from permanent API errors. The wrapper is set to not retry credentials, malformed requests, or quota errors, and includes a retry mechanism with exponential backoff to avoid overloading the system.

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From Claude Project to Hybrid AI Agent: Lessons from a Real-World Content Workflow

When I first started using Claude to help prepare our church's daily spiritual messages, I was not trying to build an AI agent.

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