Show HN: InsAIts V2 – Real-time monitoring for multi-agent AI communication

1 pointsposted 13 days ago
by MrSteaddy

2 Comments

user

13 days ago

[deleted]

kxbnb

12 days ago

Cool project. The agent shorthand/jargon detection is a unique angle - I haven't seen other tools focus on that specifically.

Re: your question about observability pain points - the one I keep hitting is visibility at the external API boundary. Most agent observability (including OTEL-based traces) shows what the agent intended to send, but not necessarily what actually hit the wire when calling external services.

When an agent makes a tool call that hits Stripe, Shopify, or any third-party API, you want to see the actual HTTP request/response - not just the function call in your trace. Especially for debugging "works locally, fails in prod" scenarios or when the vendor says "your request was malformed."

I built toran.sh for this - transparent proxy that captures wire-level requests to external APIs. Complements tools like InsAIts since you get the inter-agent communication view and the external boundary view.

What's your take on capturing outbound API calls vs focusing on agent-to-agent communication?