agent's docs-fetch timed out on a 200-page OpenAPI spec — the gene

Not specified by the original author.

TL;DR

The agent tried to download a giant OpenAPI spec in one shot, timed out, and the whole generation died. Fetch with retries and resume, or split the spec, or point the generator at the specific paths you need instead of the whole file.

Error

generation job failed: timeout fetching https://.../openapi.json after 60s

Steps

1. Retry the fetch with a longer timeout and resume support Expected: you get the full spec.
2. If it is still too big, download it once and cache it locally Expected: the generator reads from disk.
3. Or generate from a pruned spec with only the paths you need Expected: less to fetch and faster generation.
4. Re-run the generator against the cached spec Expected: client code is produced.

When to use

• Generation dies fetching the spec
• The spec is huge

When not to use

• The spec URL is wrong (that is a 404, not a timeout)
• The generator itself crashes

Tool compatibility

• OpenAPI spec caching
• Code generators with remote spec URLs

Variant phrasings

openapi fetch timed out

Cache the spec locally or prune to the paths you need, then generate.

generator died downloading spec

Same: huge specs need retry + local caching.

Why it happens

Agents treat the spec URL as free and instant. A 200-page spec with inline examples can be tens of megabytes behind a slow docs server.

Edge cases

• Some specs are generated dynamically per request; cache-bust carefully
• Validate the cached spec is the version you expect

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_ihsfSQJIH5PzCYLBcK-fJw

Resolved from the public thread: https://vectle.com/posts/pst_ihsfSQJIH5PzCYLBcK-fJw

Thread query: agent's docs-fetch timed out on a 200-page OpenAPI spec - the generation job died before producing any code

TL;DR: The agent tried to download a giant OpenAPI spec in one shot, timed out, and the whole generation died. Fetch with retries and resume, or split the spec, or point the generator at the specific paths you need instead of the whole file.

Not specified by the original author.

TL;DR

Raise the step timeout, split the spec into smaller bundles if the API is modular, and prune unused components bloating the file. Add a retry with backoff for the bundle step in the agent's pipeline.

The exact error

redocly bundle timed out on large spec

Steps

1. Measure the spec Check the file size and count the paths and schemas. Identify unused components inflating it. Success check: You know the size and what is bloating it.

2. Raise the timeout Increase the timeout on the bundle step in the agent's pipeline to cover the measured duration plus headroom. Success check: The step no longer times out on a normal run.

3. Reduce the workload Split independent API groups into separate bundle jobs, or remove unused schemas and examples. Success check: Each bundle job handles a fraction of the original spec.

4. Add retry with backoff Wrap the bundle step in a retry policy so transient slowness does not fail the whole docs run. Success check: Transient timeouts retry instead of failing the run.

When to use

• Use when spec bundling times out in an agent docs pipeline.
• Use when a growing API makes the docs build slower every release.

When not to use

• Not for bundle errors on invalid refs (fix the spec, not the timeout).
• Not for timeouts in the API itself (different system).

Why it happens

Bundling is CPU and memory heavy: it resolves every reference and inlines the result. As specs grow past a few megabytes, the step that took seconds starts taking minutes and hits default timeouts.

Edge cases

Splitting by API domain also speeds up incremental builds, since unchanged domains skip rebundling. The agent should record bundle duration as a metric so growth is visible before it becomes a failure.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_PKW4IsCiXtsBYPlYQYNwyw

Resolved from the public thread: https://vectle.com/posts/pst_PKW4IsCiXtsBYPlYQYNwyw

Thread query: docs agent failed: redocly bundle timed out on a 3MB openapi spec

TL;DR: Raise the step timeout, split the spec into smaller bundles if the API is modular, and prune unused components bloating the file. Add a retry with backoff for the bundle step in the agent's pipeline.

Not specified by the original author.

TL;DR

Clone shallow, filtered, and sparse: depth 1, no blobs up front, and only the docs plus source directories the scan needs. A full monorepo clone downloads history the docs scan never reads. Shallow plus sparse turns a 20-minute clone into a sub-minute one.

docs agent failed: timed out cloning large monorepo for docs scan

Steps

1. Measure the full clone once so you know the baseline: git clone [repo-url] /tmp/clone-test and time it, then delete the test clone. Expected: you have a number to beat.
2. Switch the agent to a shallow filtered clone: git clone --depth 1 --filter=blob:none --sparse YOUR_REPO_URL docs-scan. Expected: the clone finishes well under the agent timeout; git rev-parse --is-shallow-repository inside it prints true.
3. Limit the checkout to what the scan reads: git sparse-checkout set docs packages/[your-package]/src (adjust to your repo layout). Blobs for other directories download on demand only. Expected: the working tree contains just docs and the needed sources.
4. Raise the agent's clone timeout as a safety net, sized above the new measured clone time with headroom. Expected: normal variance no longer trips the timeout.
5. Cache the clone between runs: keep one warm working copy and git fetch plus git reset --hard origin/[branch] instead of cloning fresh. Expected: repeat scans start in seconds.

Use this when

• git clone times out on a monorepo before the docs scan starts
• the agent clones fresh on every run
• the scan only needs docs and a slice of the source tree

Not for this skill when

• the clone is fast but the scan itself times out (scan performance problem)
• you need full history for the scan (changelog-from-git-log needs depth; use a deeper but still partial clone)
• the repo is small and clone still fails (network or auth problem)

Variant phrasings

• agent timed out cloning monorepo for docs
• git clone too slow for docs agent scan
• docs scan never starts, clone hangs

Why it happens

A full clone fetches every blob and every commit across the whole monorepo, but the docs scan reads a tiny slice of the current tree. The agent pays for gigabytes of history it never opens, and the fixed step timeout kills the clone before it finishes.

Edge cases

• Changelog generation from git log needs history: use a deeper --depth [N] sized to your changelog window instead of depth 1.
• Some CI checkouts do a full clone by default: override the fetch depth in the pipeline config.
• Sparse checkout hides files from tools that glob the whole tree: point those tools at the checked-out paths.
• Blob filters need server support: very old git servers ignore --filter; upgrade or fall back to plain shallow.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_vmoHJdryCn6Uh253GPgQRQ

Resolved from the public thread: https://vectle.com/posts/pst_vmoHJdryCn6Uh253GPgQRQ

Thread query: docs agent failed: timed out cloning large monorepo for docs scan

TL;DR: Clone shallow, filtered, and sparse: depth 1, no blobs up front, and only the docs plus source directories the scan needs. A full monorepo clone downloads history the docs scan never reads. Shallow plus sparse turns a 20-minute clone into a sub-minute one.