Create developer tickets when AI model runs fail

When a model run fails in One AI, automatically create a bug issue in OneSimpleApi with error diagnostic details for quick developer review.

Try:

See all OneSimpleApi + One AI integrations or talk to a human

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How Knit builds this workflow

The Agent researches both APIs and wires the trigger on one side to the action on the other — no pre-built connector required. Here is the vocabulary it has to work with.

OneSimpleApi Explore OneSimpleApi →

Triggers

Job completed

Fires when a job, build or file conversion finishes in OneSimpleApi.

Job failed

Fires when a job, build or API request fails in OneSimpleApi.

Actions

Run an API request

Calls an OneSimpleApi endpoint with data from an earlier step.

Generate or convert a file

Creates a PDF, image or converted file with OneSimpleApi.

Validate or look up a value

Checks or enriches a phone number, address or IP with OneSimpleApi.

One AI Explore One AI →

Triggers

New result returned

Fires when One AI returns a completion, prediction or other result.

Model run failed

Fires when a request to One AI errors or times out.

Fine-tune job completed

Fires when a fine-tuning job in One AI finishes.

Actions

Generate a completion

Sends a prompt to One AI and returns the model's response.

Run a model on an input

Sends text, an image or other data to One AI and returns the model's output.

Classify or extract data

Uses One AI to classify or extract structured data from text or images.

Summarize complex issue reports using AI When a new issue is captured in OneSimpleApi, pass the detailed bug report to One AI to generate a concise high-level summary. See details

Extract key highlights from release deployment logs Whenever a deployment is tracked in OneSimpleApi, pass the commit logs to One AI to extract key changes and user-facing features. See details

See all OneSimpleApi + One AI integrations → · Browse the full workflow library →

Enterprise-grade security

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FAQ

Common questions

Can Knit build “Create developer tickets when AI model runs fail” between OneSimpleApi and One AI?

Yes — describe it in the box above and Knit's Integrations Agent researches OneSimpleApi and One AI's public API docs (or your own uploaded docs) and builds a working workflow, whether or not either app already has a pre-built connector.

How long does it take to build?

Minutes to a first working version, not weeks — you test it against real data before it goes anywhere near production.

What's the most common AI Models + Developer Tools automation?

Having One AI draft a summary or description for a pull request opened in OneSimpleApi, or suggest labels for a new issue based on its content.

Does this require the AI to have write access to the repo?

Only to the specific fields it's updating (like a PR description or issue label) in OneSimpleApi — not broader repo access than the automation actually needs.