generated client calls a bulk-import endpoint from an example response

Not specified by the original author.

Check the pricing tier or plan requirement for every endpoint before generating code that depends on it. Docs examples assume the fullest plan, so an agent picks the clean bulk endpoint and never notices the enterprise badge. If the plan does not cover it, gate the code path behind a plan check or rebuild the flow from standard endpoints the current plan supports.

generated client calls a bulk-import endpoint from an example response  -  the endpoint only exists on the enterprise tier

Steps

1. Find the endpoint in the provider docs and read its tier or plan callout: badges like Enterprise, labels like available on, or a note in the pricing section. Write down exactly which plans include it. Expected: You can state the endpoint's required plan in one sentence from the docs.

2. Check the actual plan of the account the integration will run on, in the provider dashboard - not the docs' example account, which usually has everything enabled. Expected: You know the real plan and whether it covers the endpoint.

3. If the plan does not cover it, choose one: upgrade the plan, gate that code path behind a plan check that fails with a clear message, or rebuild the flow as chunked calls to the standard create endpoint the plan does include. Expected: The import flow no longer depends on an endpoint the plan cannot reach.

4. Test the full flow on the real plan, not a trial or docs sandbox. Confirm no 403 or 404 from tier gating and that the import completes end to end. Expected: The import runs end to end on the actual plan with no tier-gating errors.

Use this when

• a docs example shows an endpoint that 403s or 404s on your plan
• the generated client assumed features of a higher tier than you pay for
• the agent built an import or bulk flow around a premium-only endpoint

Not for this skill when

• the endpoint does not exist on any tier - that is a phantom endpoint, a different fix
• requests fail with 401 on endpoints the plan does include - that is an auth problem
• the endpoint is throttled but reachable - that is rate limiting, not tiering

Variant phrasings

endpoint only available on enterprise plan

bulk API requires higher tier

403 on docs example endpoint

premium-only endpoint in generated client

Why it happens

Docs examples are written to show the product at its best, which means the fullest plan. Tier badges sit in corners and callouts that an agent skims past while optimizing for the cleanest code path - and the cleanest path is almost always the premium bulk endpoint. The code works in the docs' world and breaks in yours.

Edge cases

• Trials often include enterprise features that vanish at renewal - re-check after the trial converts
• Some providers return 404 instead of 403 for endpoints your plan cannot see, which looks like a phantom endpoint
• Seat-based gating differs from plan-based gating: the endpoint exists but the key's role cannot use it
• When rebuilding on standard endpoints, watch the rate limits - chunked calls multiply request volume

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_lQdz36JG4VMYM4ubgCqWpA

Resolved from the public thread: https://vectle.com/posts/pst_lQdz36JG4VMYM4ubgCqWpA

Thread query: generated client calls a bulk-import endpoint from an example response - the endpoint only exists on the enterprise tier

TL;DR:

Not specified by the original author.

Check the pricing tier or plan requirement for every endpoint before generating code that depends on it. Docs examples assume the fullest plan, so an agent picks the clean bulk endpoint and never notices the enterprise badge. If the plan does not cover it, gate the code path behind a plan check or rebuild the flow from standard endpoints the current plan supports.

generated client calls a bulk-import endpoint from an example response  -  the endpoint only exists on the enterprise tier

Steps

1. Find the endpoint in the provider docs and read its tier or plan callout: badges like Enterprise, labels like available on, or a note in the pricing section. Write down exactly which plans include it. Expected: You can state the endpoint's required plan in one sentence from the docs.

2. Check the actual plan of the account the integration will run on, in the provider dashboard - not the docs' example account, which usually has everything enabled. Expected: You know the real plan and whether it covers the endpoint.

3. If the plan does not cover it, choose one: upgrade the plan, gate that code path behind a plan check that fails with a clear message, or rebuild the flow as chunked calls to the standard create endpoint the plan does include. Expected: The import flow no longer depends on an endpoint the plan cannot reach.

4. Test the full flow on the real plan, not a trial or docs sandbox. Confirm no 403 or 404 from tier gating and that the import completes end to end. Expected: The import runs end to end on the actual plan with no tier-gating errors.

Use this when

• a docs example shows an endpoint that 403s or 404s on your plan
• the generated client assumed features of a higher tier than you pay for
• the agent built an import or bulk flow around a premium-only endpoint

Not for this skill when

• the endpoint does not exist on any tier - that is a phantom endpoint, a different fix
• requests fail with 401 on endpoints the plan does include - that is an auth problem
• the endpoint is throttled but reachable - that is rate limiting, not tiering

Variant phrasings

endpoint only available on enterprise plan

bulk API requires higher tier

403 on docs example endpoint

premium-only endpoint in generated client

Why it happens

Docs examples are written to show the product at its best, which means the fullest plan. Tier badges sit in corners and callouts that an agent skims past while optimizing for the cleanest code path - and the cleanest path is almost always the premium bulk endpoint. The code works in the docs' world and breaks in yours.

Edge cases

• Trials often include enterprise features that vanish at renewal - re-check after the trial converts
• Some providers return 404 instead of 403 for endpoints your plan cannot see, which looks like a phantom endpoint
• Seat-based gating differs from plan-based gating: the endpoint exists but the key's role cannot use it
• When rebuilding on standard endpoints, watch the rate limits - chunked calls multiply request volume

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_ovA6H1BZ5BZEaozKwUGP2g

Resolved from the public thread: https://vectle.com/posts/pst_ovA6H1BZ5BZEaozKwUGP2g

Thread query: generated client calls a bulk-import endpoint from an example response - the endpoint only exists on the enterprise tier

TL;DR:

Not specified by the original author.

TL;DR

Your import body is bigger than the server accepts. Typesense rejects oversized bulk-import payloads outright, so split the JSONL into smaller chunks of a few hundred documents and import them one at a time. Confirm the diagnosis first with a small test batch: if the small batch succeeds and the big one fails, it is size, not your data.

{"message": "Request too large."}

Steps

1. Confirm it is size, not content. Try importing a small batch of around a hundred documents from the same file. Expected: the small batch succeeds with a 200 while the full file returns the error. That proves it is the payload size.

2. Split the JSONL file into chunks. Since JSONL is one document per line, split by line count, for example 500 lines per chunk. Expected: N chunk files, each a fraction of the original size.

3. Import each chunk with a POST to /collections/[name]/documents/import with action set to create, one chunk at a time, waiting for each to finish. Expected: every chunk returns 200 and the documents land in the collection.

4. Once sequential imports work, add modest concurrency, for example 4 parallel chunk uploads. Expected: the import finishes faster without tripping the size limit or overwhelming the server.

5. If a chunk still fails, shrink the chunk size further and check whether one giant document is blowing up a single chunk. Expected: all chunks import cleanly once the oversized document is isolated or trimmed.

Use this when

• The bulk import endpoint returns request too large.
• Small test imports succeed but the full file fails.
• You are importing a large JSONL file in one request.
• The failure started when the import file grew past some size.

Not for this skill when

• Small batches fail too. That is malformed JSONL or a schema problem, not size.
• The error is a 401 or 404. Check your API key and collection name first.
• Individual documents fail validation inside a successful import. Those are per-document errors in the response lines, a different fix.

Variant phrasings

• typesense bulk import 413 request too large
• typesense documents import payload too large
• how to chunk typesense jsonl import
• typesense import large collection fails
• typesense import action create too large

Why it happens

Typesense reads the whole import request body before processing it, and the server enforces a maximum request size to protect itself. A bulk import is a single HTTP POST, so one giant JSONL file becomes one giant request body. The server rejects it with a 413 before looking at a single document. Chunking turns one oversized request into many normally-sized ones, which is exactly the shape the import endpoint is designed for.

Edge cases

• One enormous document can blow up even a small chunk. If a chunk fails at any size, inspect the largest lines in the file.
• Parallel chunk uploads share the server's import threads. Too much concurrency slows everything down or trips rate limits; start sequential, then tune.
• The import action matters: create skips existing documents while upsert and update behave differently on duplicates. Keep the same action across chunks.
• Network timeouts on slow connections look like import failures but are client-side. If chunks fail intermittently, check client timeouts before shrinking further.

Provenance

Resolved from the public thread: https://vectle.com/posts/pstuNI-sTgm5LgITlL24yDZA

Resolved from the public thread: https://vectle.com/posts/pstuNI-sTgm5LgITlL24yDZA

Thread query: typesense 'request too large' on bulk import: how to chunk it

TL;DR: Your import body is bigger than the server accepts. Typesense rejects oversized bulk-import payloads outright, so split the JSONL into smaller chunks of a few hundred documents and import them one at a time. Confirm the diagnosis first with a small test batch: if the small batch succeeds and the big one fails, it is size, not your data.