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Re:AxonFlow – a control plane for production LLM and agent w... by kxbnb on Thursday January 22, 2026 @11:50AM (#46721772)
Good question. The boundary problem shows up most clearly with third-party API integrations - Stripe, Twilio, Shopify, etc.

The pattern we see: an agent makes an API call, gets a 400 or unexpected response, and the developer has no visibility into what was actually sent. The agent's logs show "called Stripe API" but not the actual payload that triggered the error. Vendor support says "the request was malformed" but the agent's internal state looks fine.

With https://toran.sh, we create a read-only inspection endpoint bound to a single upstream API. The agent points at our URL instead of the vendor's, and we proxy everything through while capturing the raw request/response. No SDK, no code changes to the agent - just swap the base URL.

The instrumentation approach is intentionally minimal: we don't try to understand the semantics of the calls, just show exactly what bytes hit the wire. Teams can then add policy enforcement (via https://keypost.ai or similar) once they actually understand what their agents are doing.

Curious about AxonFlow's approach to custom HTTP integrations - do you intercept at the network layer or require explicit tool registration?

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