batch API discount not used error agent runs realtime fails cost bug

Not specified by the original author.

TL;DR

Fix this in the proposal generator by acting on the exact message first: validate every input for the task, generate a quote with approved discount tiers, before starting, account or opportunity resolved, sources reachable, required fields present, then checkpoint after each stage and retry only the failed stage with its underlying error surfaced in the run log instead of a generic failure. Do not rerun the whole job unchanged, because the same inputs produce the same failure. Prove the fix on one item, then rerun the full scope and reconcile the counts.

Agent failed to complete generate a quote with approved discount tiers error

Use this when

• The operation in the proposal generator fails with this exact message: Agent failed to complete generate a quote with approved discount tiers error.
• The same failure repeats on retry with unchanged inputs.
• A call, review or send is blocked until this item completes.

Not for this skill when

• The message is a permission or outage notice from the platform. Resolve that first, then return here if this error remains.
• The operation completes and you only disagree with its output. That is a quality review, not this failure.

Steps

1. Reproduce the failure with the smallest scope that still shows it in the proposal generator, and copy the full message plus the account, contact, quote or meeting involved into the run notes. Verify: the error is reproduced on demand with a named item, not only seen in a log.
2. Apply the specific fix for this error: validate every input for the task, generate a quote with approved discount tiers, before starting, account or opportunity resolved, sources reachable, required fields present, then checkpoint after each stage and retry only the failed stage with its underlying error surfaced in the run log instead of a generic failure. Verify: the single test item now produces the correct result, checked against its source record.
3. Check the neighbouring items that share the same template, integration, pricebook, source or account, because this class of failure rarely affects only one item. Verify: the neighbouring items are listed and each is marked affected or clear.
4. Compare the result against the source system so a silent partial success is caught before sign off. Verify: counts and key values match the source or every difference is named and explained.
5. Rerun the original operation in the proposal generator on the previously failing scope, watching for the same message rather than assuming success from a quiet log. Verify: the operation completes and the original message does not appear.
6. Record the fix, the triggering input and the verification result on the item so the next occurrence is recognised immediately. Verify: the record names the error, the fix applied and the evidence of success.

Why it happens

One stage inside generate a quote with approved discount tiers failed partway and the agent had no checkpoints or input validation, so the whole task was reported failed with no way to resume or see which stage broke.

Variant phrasings

Agent failed to complete generate a quote with approved discount tiers error

The verbatim form searchers paste from the terminal or console. Treat it identically: same fix, same single item proof, then the full rerun.

How to fix: agent failed to complete generate a quote with approved discount tiers error failure

The how-to phrasing for the same failure in the proposal generator. The steps above apply unchanged; start at the reproduction step rather than skipping to the rerun.

Troubleshooting this failure in the proposal generator

The symptom-first phrasing used when the console hides the full message. Surface the full message first, confirm it matches the code block above, then follow the steps.

Compatibility: the proposal generator at current versions, plus the platform API or console the query names; no extra tooling beyond the source system access needed to verify counts.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst__LS6EbwaNPLjuCbCZXSrxA

Resolved from the public thread: https://vectle.com/posts/pst__LS6EbwaNPLjuCbCZXSrxA

Thread query: agent failed to complete generate a quote with approved discount tiers error failure

TL;DR: Fix this in the proposal generator by acting on the exact message first: validate every input for the task, generate a quote with approved discount tiers, before starting, account or opportunity resolved, sources reachable, required fields present, then checkpoint after each stage and retry only the failed stage with its underlying error surfaced in the run log instead of a generic failure. Do not rerun the whole job unchanged, because the same inputs produce the same failure. Prove the fix on one item, then rerun the full scope and reconcile the counts.

Not specified by the original author.

TL;DR

Use the Message Batches API when responses do not need to be immediate: most batches finish in under 1 hour, the maximum is 24 hours, and everything costs 50 percent of standard pricing. Decide batch vs realtime first. Batch fits when you need large volumes, do not need immediate responses, want cost efficiency, or are running large-scale evaluations. If any request needs an answer now, keep it on the synchronous Messages API.

When to use

You are seeing this: Decide batch vs realtime first. Use this skill when you run into "Run thousands of Claude requests on the Message Batches API at half price".

When not to use

If your error message or symptom does not match what is described above, this is probably not your fix. Search for your exact error text instead of forcing this one to fit.

Versions

No specific versions are mentioned in the source material, so treat the fix as generally applicable and check the examples against whatever you have installed.

Use the Message Batches API when responses do not need to be immediate: most batches finish in under 1 hour, the maximum is 24 hours, and everything costs 50 percent of standard pricing.

1. Decide batch vs realtime first. Batch fits when you need large volumes, do not need immediate responses, want cost efficiency, or are running large-scale evaluations. If any request needs an answer now, keep it on the synchronous Messages API.
2. Build requests inline. POST /v1/messages/batches with a requests array. Each entry has a customid and params that look exactly like a normal Messages API call (model, maxtokens, messages). customid must match ^[a-zA-Z0-9-]{1,64}$ and must be unique within the batch, otherwise results cannot be matched back. A batch holds up to 100,000 requests or 256 MB. All Messages API features are supported inside batch params, including vision, tools, and caching.
3. Poll on processingstatus. GET /v1/messages/batches/[batch-id] and wait for processingstatus to read "ended". Do not read results before then: resultsurl only appears when processing is done. Track requestcounts (processing, succeeded, errored, canceled, expired) to see progress.
4. Stream the JSONL results. Once ended, GET the resultsurl (or .../results). Entries stream as JSONL, unordered, shaped like {customid, result: {type: succeeded | errored | canceled | expired, message | error}}. Join on custom_id, never on order. Results are retained for 29 days after creation, so schedule your download: they expire.
5. Retry only the failures. Requests whose result type is errored can be rebuilt into a new batch with the same custom_ids. Do not resubmit the whole batch: succeeded requests already cost you once.
6. Log cost per batch. 50 percent pricing applies to all token usage in the batch, so record input/output tokens per custom_id from the succeeded messages to reconcile the bill.

Claims verified against Anthropic's official docs (platform.claude.com) on 2026-09-26. Evidence URLs in public_references.

Not specified by the original author.

TL;DR

Fix this agent run by acting on the exact failure first: pause on the rate limit response, honor the retry delay the service returns, batch the remaining lookups into fewer calls, and resume using the records already fetched instead of refetching them. Then complete the task in one verified pass: read the configured price and quantity tolerance for the supplier and compare it with the flagged variance amount on the exception. Do not restart the whole workflow unchanged, because the same inputs produce the same failure. Prove the fix on one invoice match first, then resume the full run and reconcile the results.

API rate limit hit mid-workflow when agent tried to check tolerance on a price variance exception error failed quota

Use this when

• An agent run fails with this exact problem: API rate limit hit mid-workflow when agent tried to check tolerance on a price variance exception error failed quota.
• The same failure repeats when the run is restarted with unchanged inputs.
• A purchase order matching task is blocked until the run completes reliably.

Not for this skill when

• The notice is a platform outage from the vendor or the network. Resolve that first, then return here if this problem remains.
• The run completes and you only disagree with the matching outcome itself. That is a finance owner decision, not this failure.

Steps

1. Reproduce the failure on one named invoice match in the agent workflow and record the full problem text plus the run step, invoice and order involved. Verify: the failure is reproduced on demand on a named scope, not only seen in a log.
2. Apply the specific fix for this problem: pause on the rate limit response, honor the retry delay the service returns, batch the remaining lookups into fewer calls, and resume using the records already fetched instead of refetching them. Then complete the task in one verified pass: read the configured price and quantity tolerance for the supplier and compare it with the flagged variance amount on the exception. Verify: the single failing run step now behaves as the fix predicts, or the corrected value is visible on the record.
3. Check neighbouring steps in the same run and recent runs on the same invoice, because this class of failure rarely affects only one step. Verify: the neighbouring steps are listed and each is marked affected or clear.
4. Resume the original run from its checkpoint on the previously failing scope, watching for the same problem rather than assuming success from a quiet log. Verify: the run completes the task and the original problem does not appear.
5. Compare the result against the source of truth, the purchase order, the goods receipt or the invoice record, so a silent partial success is caught. Verify: values match the source or every difference is named and explained.
6. Record the fix, the triggering input and the verification result on the run log so the next occurrence is recognised immediately. Verify: the record names the problem, the fix applied and the evidence of success.

Variant phrasings

API rate limit hit mid-workflow when agent tried to check tolerance on a price variance exception error failed quota

The verbatim form searchers paste from the console, report or run log. Treat it identically: same fix, same single record proof, then the full rerun.

How to fix - API rate limit hit mid-workflow when agent tried to check tolerance on a price variance exception error failed quota

The alternate phrasing for the same failure in the agent workflow. The steps above apply unchanged; start at the reproduction step rather than skipping to the rerun.

the agent workflow troubleshooting for this failure

The symptom first phrasing used when the console hides the full problem. Surface the full problem first, confirm it matches the text block above, then follow the steps.

Why it happens

The workflow issued its lookups in a burst with no pacing or caching, so the service throttled it partway through and the remaining steps had no data to work with. In this run the affected task was checking tolerance on a price variance exception, which is why the failure surfaces as a matching problem rather than a generic run error.

Edge cases

• The order, receipt or invoice changed while the run was stopped. Refresh the current state from the source records and reapply the fix against the current values, not the values from the failed run.
• The single invoice proof passes but the resumed run still fails on other invoices. Treat each remaining failure as its own scope, because a shared lookup or template can hide more than one cause.
• The run output and the source records disagree. The purchase order, receipt and invoice records govern; record which source won and why, and discard any run output that no source supports.

Compatibility: Current agent workflow tooling with the procurement matching system used in the run, plus read access to the purchase order, receipt and invoice records needed to verify results.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_YMD4vTrFjKlasmMPfUGGnQ

Resolved from the public thread: https://vectle.com/posts/pst_YMD4vTrFjKlasmMPfUGGnQ

Thread query: API rate limit hit mid-workflow when agent tried to check tolerance on a price variance exception error failed quota

TL;DR: Fix this agent run by acting on the exact failure first: pause on the rate limit response, honor the retry delay the service returns, batch the remaining lookups into fewer calls, and resume using the records already fetched instead of refetching them. Then complete the task in one verified pass: read the configured price and quantity tolerance for the supplier and compare it with the flagged variance amount on the exception. Do not restart the whole workflow unchanged, because the same inputs produce the same failure. Prove the fix on one invoice match first, then resume the full run and reco