What the documents look like
Fresh-food supplier claims pursue responsibility for the quality of goods at arrival. They do not handle natural in-store shrinkage, which separates this category from near-expiry markdown work. That boundary shapes the material set for copy drafting. A quality exception note records the batch and the acceptance conclusion. Photo evidence fixes the condition of the goods. A deduction notice and a claim reconciliation statement carry amounts and periods. Any drafted sentence about compensation, deduction or responsibility must trace back to a specific field in these materials. The materials arise on a per-batch cadence and a monthly cadence. This page draws no synchronization, trigger or scheduling mechanism from those cadences.
The drafting step needs a language model to generate text. The retrieval step needs an index model to build vectors over material chunks. The system requires at least one language model and one index model to operate normally. Channels and models are configured on the administrator model provider page. The model ID is the value of the model field in the request body and is globally unique. Model mapping maps the model FastGPT requests to the model actually supplied upstream, for example gpt-4o-test mapped to gpt-4o. Model probing covers only currently enabled system models. After a first failure the system retries at most three times, so a single round makes at most four attempts, and only four failed attempts yield an abnormal verdict. States are normal, high latency and abnormal. A similarity score carries no permission or entity filtering duty, and retrieval by itself is not authorization.
Constraints at the model connections step
Drafting copy from claim materials requires the language model to stay inside what the documents state. The quality exception note is the anchor for batch identity, acceptance scope and conclusion. Photo evidence supports the condition of the goods but does not by itself establish a deduction amount. The deduction notice and the reconciliation statement carry money and period, and their confirmation state is a separate fact from the amount itself.
Hypothetical paper exercise sample: a quality exception note reads, "Accepted on 12 March 2026, batch A-0312, 200 cartons arrived, 20 cartons sampled, of which 6 cartons of leafy greens were wilted, judged unqualified, deduction amount pending supplier confirmation." Photo evidence records wilted leafy greens from the same batch. The draft sentence under review reads, "This batch of goods was inspected and found entirely unqualified, and the supplier has confirmed the deduction." The comparison target is the sampled quantity, the scope of the judgment and the confirmation status in the exception note.
Three constraints follow. The judgment scope in the note covers the 20 sampled cartons, so a sentence asserting the whole batch is unqualified exceeds the recorded scope. The note states the deduction amount is pending supplier confirmation, so a sentence asserting the supplier has confirmed the deduction contradicts the recorded status. Retrieval results returned for a query do not establish that the querying account may view the supplier's reconciliation records; authorization needs a downstream implementation.
Configuration and implementation checks
The table lists only settings or implementation checks directly tied to this page's task. Values are hypothetical starting points for this exercise, used to compare against actual material fields, and are not official defaults.
| Configuration item | Hypothetical starting point | Reason and comparison method |
|---|---|---|
AIPROXY_API_ENDPOINT | Hypothetically filled with the AI Proxy root address | Documented requirement is the root address without /v1; compare character by character against the deployed root address |
AIPROXY_API_TOKEN | Hypothetically filled with a non-empty administrator token | Documented requirement is a non-empty token consistent with the server side; compare against the AI Proxy side configuration |
Language model maxContext | Hypothetically set to 125000 | Documented example field; compare against the length of materials needed for drafting, then adjust |
Index model defaultToken | Hypothetically set to 512 | Documented example field; compare against the actual token distribution of material chunks |
| Model probe interval | Hypothetically set to 30 minutes | Documented range is an integer from 5 to 60; compare against the observation frequency operations needs |
| Alert Webhook address | Hypothetically filled with a callback URL | Documented support for HTTP and HTTPS; compare against reachability at the receiving end |
The model ID used in requests must match the enabled model. Model mapping is a documented mechanism for directing a FastGPT request to the upstream model. The probe retry count and the four-attempt threshold are documented behaviors of the probe, not settings this page invents. The alert Webhook is documented as optional, and its test button pushes a simulated abnormal message and a simulated recovered message in sequence. None of these observations confirm that any configuration was deployed or tested.
Three common errors
- Treating "entirely unqualified" in the draft sentence as a fact already recorded in the exception note. The note records 6 unqualified cartons out of 20 sampled, so the judgment scope is the sample, and a whole-batch conclusion is not supported by the supplied wording.
- Reading "deduction amount pending supplier confirmation" as the supplier having confirmed. Pending is an incomplete state, and the draft sentence's "has confirmed the deduction" lacks a basis in the note.
- Using a similarity score or a retrieval hit in place of a permission decision. A returned result does not show that the account may view that supplier's reconciliation records, and authorization requires a downstream implementation.
How to verify the setup
- Input the hypothetical exception note text and the draft sentence, then compare whether the draft sentence expands the sampled conclusion into a whole-batch conclusion. If the draft sentence keeps the sampled scope and marks confirmation as pending, the sentence is consistent with the material; if a whole-batch unqualified statement appears, the sentence is unsupported.
- Input the field "deduction amount pending supplier confirmation" and compare whether the draft sentence rewrites it as confirmed. If the draft sentence still marks it pending, the status matches; if it states confirmed, the status does not match the source text.
- Input a hypothetical retrieval result set and the identity of the account that issued the query, then compare the supplier that owns the results against the range the account may access. If the results contain only materials inside that account's authorized range, the outcome matches the expectation; if materials outside the range appear, the authorization implementation needs review. The retrieval score itself is not a basis for exclusion.
A missing field remains unknown. A pending request is not an approval, an offered option is not an execution, and an unsigned termination is not a completed termination. Where the materials do not state a fact, the draft must leave the gap open rather than supply a conclusion.