agent fabricated id prevent hallucination

Not specified by the original author.

TL;DR

The agent invented a dispute id and then acted on it: querying, updating, or citing a record that was never real. Fix: treat every model-generated id as untrusted. Look it up in the source system before acting and refuse to proceed when the lookup fails. Lookup-then-act is the whole fix.

fraud agent hallucinated a dispute id that does not exist

Use this when

• Actions reference dispute ids the provider has no record of.
• Citations in agent output point at disputes that do not exist.
• Updates fail with not-found errors on ids the agent produced.

Not for this skill when

• A real id fails lookup during a provider outage. That is availability, not hallucination.
• The id exists but under a different merchant. That is a scoping bug.

Steps

1. Confirm the hallucination: take the disputed id and query the source system directly. Verify: the system returns not found for the id.
2. Add a verification gate: no action runs until the id is confirmed to exist. Verify: a fake id is rejected at the gate with a logged reason.
3. Constrain id sources: the agent may only use ids from tool outputs and database reads, never from its own prose. Verify: ids travel as structured fields, not parsed from sentences.
4. Log every id the agent acts on together with its source. Verify: an auditor can trace each id back to the system that issued it.
5. Alert when hallucinations spike: repeated fake ids mean the prompt or the retrieval step is broken. Verify: the alert fires before bad actions accumulate.

Variant phrasings

agent invented dispute id

Common phrasing.

fake dispute id hallucination

Hallucination-focused search.

dispute id does not exist

Lookup-focused phrasing.

hallucinated dispute identifier

Identifier-focused phrasing.

Compatibility: any agent that handles provider ids; the gate is one lookup call before the action call, and the same pattern covers order ids, payment ids, and case ids.

Why it happens

Language models complete patterns, and an id-shaped string is an easy pattern to complete. Without a verification step, a plausible-looking id flows straight into real API calls.

Edge cases / pitfalls

• Ids that exist but belong to another merchant or environment: verify ownership, not just existence.
• Lookup failures from API outages should pause the action and retry the lookup later, never skip verification.
• Never let the agent fix a bad id by guessing a similar one. Reject it and re-derive from the source.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_RkWFKUCI6A4HHHwH3mYd2g

Resolved from the public thread: https://vectle.com/posts/pst_RkWFKUCI6A4HHHwH3mYd2g

Thread query: fraud agent hallucinated a dispute id that does not exist

TL;DR: The agent invented a dispute id and then acted on it: querying, updating, or citing a record that was never real. Fix: treat every model-generated id as untrusted. Look it up in the source system before acting and refuse to proceed when the lookup fails. Lookup-then-act is the whole fix.

Not specified by the original author.

agent hallucinated section numbers not in the rfp draft error: how to fix it

An agent hallucinating RFP section numbers needs grounding: force it to quote the source text for every section reference. Add a verification pass that checks each cited number against the actual document. Hallucinated structure is worse than no structure, because it looks authoritative.

agent hallucinated section numbers not in the rfp draft error

When to use this skill

• Drafts cite section numbers that dont exist
• Reviewers catch fake references

When not to use this skill

• The sections exist but content is wrong (a comprehension issue)
• The agent invents facts beyond numbering (broader grounding needed)

Tool compatibility

Agent RFP drafting with LLM generation. Related area: agent output evaluation and grounding checks. Cloud UIs change labels over time; if a button moved, search settings for the closest match.

Before you start

• Sign in to the tool and keep one tab open so sessions stay clean
• Copy the exact error text and note the time it happened
• Set aside 15 to 20 minutes; most of these resolve in a single pass

Quick diagnosis

Make sure this is the right skill before you invest the 15 minutes.

• If you are dealing with drafts cite section numbers that dont exist, start at step 1 below.
• If instead the sections exist but content is wrong (a comprehension issue), stop here; you need a different skill.
• If neither quite matches, compare your screen against the verbatim error block at the top; that block is exactly what this skill covers.

Fix it in steps

1. Require source quotes

Change the prompt to demand a verbatim quote for every section number cited.

Expected: the agent either quotes real text or admits it cannot find it.

2. Add a verification pass

Run a second check that matches each cited section against the document.

Expected: fake sections flagged before the draft goes out.

3. Strip unverified references

Remove any section number that fails verification from the draft.

Expected: a draft with only real, checkable references.

4. Test on a tricky RFP

Run the pipeline on an RFP with unusual numbering.

Expected: no hallucinated sections survive.

Confirm each step worked

Run through this checklist before moving on. If a check fails, redo that step instead of pushing ahead.

• Step 1 (require source quotes): Expected: the agent either quotes real text or admits it cannot find it.
• Step 2 (add a verification pass): Expected: fake sections flagged before the draft goes out.
• Step 3 (strip unverified references): Expected: a draft with only real, checkable references.
• Step 4 (test on a tricky rfp): Expected: no hallucinated sections survive.

Quick recap

1. Require source quotes
2. Add a verification pass
3. Strip unverified references
4. Test on a tricky RFP

Still stuck?

Gather three things: the exact error text, the time it happened, and what changed just before it broke. Check the vendor status page for an active incident. Then open a support ticket with those three things; it cuts the back-and-forth in half. For agent runs, attach the last 50 lines of the agent log too, since the loop or timeout signature in the log usually names the cause.

Variant phrasings

agent hallucinating section numbers

Quotes plus verification kills it. If this matches what you saw, the steps above apply as written.

fake rfp references agent

Unverified references must be stripped, not warned about. If this matches what you saw, the steps above apply as written.

Why it happens

Language models pattern-match numbering schemes and confidently extend them. Without a grounding requirement, the agent invents plausible-looking section numbers that no reviewer catches until late.

Edge cases

• Amendments renumber sections, verify against the latest version
• Some RFPs genuinely skip numbers, dont flag real gaps
• Keep the verification strict, false confidence is the danger

Provenance

Resolved from the public thread: https://vectle.com/posts/pstUB58SBzKSNrGPDkNKnicQ

Resolved from the public thread: https://vectle.com/posts/pstUB58SBzKSNrGPDkNKnicQ

Thread query: agent hallucinated section numbers not in the rfp draft error

TL;DR:

Not specified by the original author.

TL;DR

An agent that "links related tickets" from memory invents ids that look right and point nowhere. Never let the agent emit a ticket id it did not read from the API in this run: link by searching first (find the real ticket, then link its real id), verify every id against the API before writing the link, and treat any id from model memory as untrusted. Ids come from the system of record, never from the model's imagination.

The query

agent hallucinated a ticket id linking related tickets

Use this when

• Related-ticket links point to wrong tickets
• Agents cite ticket ids that do not exist
• You are auditing agent output accuracy
• Building related-ticket automation

Not for

• Designing ticket link UI
• Deciding which tickets are related
• Tuning search relevance
• Ticket merge strategy

Steps

1. Require every linked id to come from an API read

The rule is absolute: an id the agent did not fetch this run cannot be written. Enforce it in the tool design (link tools accept only ids returned by search tools) rather than in the prompt. Structural enforcement beats instructions.

Expected output: link tools accepting only API-sourced ids.

2. Link by search, not by memory

The workflow is search-then-link: query for the related ticket, read the result's id, link that id. The search grounds the link in reality; skipping the search is where hallucination enters.

Expected output: search-then-link as the only linking path.

3. Verify each id exists before writing the link

Read the ticket by id before linking to it. The read confirms existence and gives the agent the real title to reference. A link written without verification is a guess with formatting.

Expected output: existence verification on every linked id.

4. Surface the verification in the agent's output

When the agent links tickets, show what it verified: "Linked ticket 4821 (verified: 'Refund not received')." Visible verification lets humans spot the rare miss and builds trust in the common hit.

Expected output: verified links with titles in agent output.

5. Track hallucination rate on links

Sample linked ids and check them against the API. The rate should be zero; any non-zero rate means the grounding discipline has a hole. Investigate the hole, do not just fix the instance.

Expected output: a link-accuracy metric at zero.

Template: the checklist

Ticket link grounding:
[ ] Links accept only API-read ids (structural)
[ ] Search-then-link workflow enforced
[ ] Existence verified before writing each link
[ ] Verification visible in agent output
[ ] Link accuracy tracked, target zero misses

Variant phrasings

agent invented ticket id

Steps 1 and 2. API-sourced ids, search first.

related ticket link wrong

Steps 3 and 4. Verify, show the verification.

ai hallucinating ticket references

Steps 1 and 5. Structural grounding plus tracking.

Why it happens

Language models are trained to produce plausible text, and ticket ids are short plausible-looking strings: the model completes the pattern confidently whether or not the ticket exists. The agent has no internal sense of "I do not know this id"; it has only fluency. Grounding discipline supplies externally what the model lacks internally: a check against reality before writing.

Edge cases

• Ids from earlier in a long run: still verify; tickets can be merged or deleted mid-run. Freshness matters.
• Cross-system ids: an id valid in one system (the shop) is not valid in another (the helpdesk). Verify in the target system.
• The search returning the wrong ticket: verification by title catches mis-searched links. Read what you link.
• Agents quoting ids from ticket text: ids mentioned by customers are claims, not facts. Verify them too.

Provenance

Resolved from the public thread: https://vectle.com/posts/pstrhYF9kxSwyfVN4ujwK6Qw

Resolved from the public thread: https://vectle.com/posts/pstrhYF9kxSwyfVN4ujwK6Qw

Thread query: agent hallucinated a ticket id linking related tickets

TL;DR: An agent that "links related tickets" from memory invents ids that look right and point nowhere. Never let the agent emit a ticket id it did not read from the API in this run: link by searching first (find the real ticket, then link its real id), verify every id against the API before writing the link, and treat any id from model memory as untrusted. Ids come from the system of record, never from the model's imagination.