Costile
Diagnose production AI agent failures, see which workflow is affected, and check whether a fix holds on follow-up traffic.
A startup from Copenhagen, Denmark, founded by Ronald Miza, Marcus Have.
Diagnose production AI agent failures, see which workflow is affected, and check whether a fix holds on follow-up traffic.
A startup from Copenhagen, Denmark, founded by Ronald Miza, Marcus Have.
This page is designed to help you find out whether Costile is good and if it is the right choice for you.
Costile helps teams investigate problems in production AI agents. It routes supported model requests through a diagnostic proxy, connects request evidence to agents and workflows, and raises incidents for behaviors such as repeated calls, retry cascades, errors, and truncated responses. Operators can review the evidence, make a change, and check the relevant follow-up traffic to see whether that problem recurred. Costile records operational metadata by default; prompt and response capture is optional. The open-source core can be self-hosted, while Costile Cloud offers managed setup and team features. A read-only demo lets you explore an illustrative incident without signing up.
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Agent incident diagnostics
Detects repeated calls, retry cascades, errors and truncation, with request evidence behind each incident.
Follow-up verification
Checks subsequent traffic against the failure that triggered an incident, with the observation window visible.
Metadata-first proxy
Routes supported Anthropic and OpenAI-compatible requests; prompt bodies are not stored by default.
Costile connects production AI agent failures to the requests and workflows behind them. It groups repeated calls, retry cascades, errors, and truncation into incidents, then shows the evidence, suggested operator action, and whether follow-up traffic indicates the fix held. Its metadata-first proxy does not store prompt bodies by default.
Costile uses a TypeScript and React interface with a Node.js backend and SQLite storage. Its proxy supports Anthropic Messages and OpenAI-compatible request paths. Teams can use the cloud service or self-host the open-source core with Docker.
Costile is for engineering, AI platform, and operations teams running AI agents in production. It is especially relevant when a team needs to investigate failures across model calls, retries, and workflows, retain usable request evidence, and verify that an operational fix holds.
Choose Costile if your main question is which agent workflow failed in production, what evidence explains it, and whether the corrective action worked. Costile combines incident grouping, request-level evidence, operator guidance, and follow-up verification in one workflow. Teams should compare integrations, deployment needs, and data-handling requirements against their own stack before choosing a tool.
Costile grew from a practical gap in operating AI systems: teams could see model activity and spend, but it was harder to identify which agent workflow failed, what happened in the surrounding requests, and whether a fix worked. The product now focuses on production diagnostics, incident evidence, operator actions, and follow-up verification.
Costile does not publish named customer references at this stage. We will add organizations here only when they have agreed to be named publicly.
We have collected here some useful links to help you find out if Costile is good.
Check the traffic stats of Costile on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of Costile on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of Costile's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of Costile on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
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Is Costile good? This is an informative page that will help you find out. Moreover, you can review and discuss Costile here. The primary details have been verified within the last quarter. So they could be considered up to date. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.
