What the data for this use case looks like
Data for this use case is generated across the full bid lifecycle. Core documents include bid documents, qualification certificates, business deviation tables, and technical deviation tables. Data sources include tender announcements, bidding documents, enterprise qualification databases, and supplier quotes. Update frequency aligns with individual bid task progress. Document structure follows the format requirements of the target tender. It includes qualification fields, clause response content, quotation details, and other elements. There is no unified fixed field set. Configurations must match the exclusive format requirements of the corresponding tender project.
Constraints on Conversation Logs and Auditing Workflows
Each individual task has highly independent data. Conversation logs and auditing data for a single project must be bound to the corresponding bid identifier. This prevents cross-project data confusion. Documents must match tender format requirements. Conversation logs must retain interaction details from key stages such as clause response and qualification verification. This supports traceability of bid rejection risks. Update frequency aligns with individual task progress. Log collection must support start and stop controls per single bid task. This avoids accumulation of invalid data. Document structures vary widely across different tender projects. Auditing rules must support custom format verification logic for matching project requirements. General templates are not suitable for this scenario.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chatId binding rule | Bind to the unique identifier of a single bid task | Ensure conversation logs and auditing data for each bid task remain independent, prevent cross-project data mixing, and comply with FastGPT v4.17.0 log binding logic |
detail log switch | Enable full detail collection | Retain interaction details from key stages such as clause response and qualification verification, support traceability of bid rejection risks and task blocking nodes |
| Single collection thread count | 2–4 threads | Match the low-concurrency single-task scenario of bid document preparation, avoid exceeding embedding rate limits |
| Log storage threshold | 1000 MB, archived per project | Adapt to the document volume of individual bid tasks, prevent excessive storage space occupation by invalid data |
| Context retention length | 800–1200 characters | Match the clause response length of bid documents, retain key interaction context |
responseChatItemId association rule | Bind to the interaction entry corresponding to a clause response | Accurately associate logs from stages such as deviation tables and qualification verification, support audit traceability |
Three Common Misconfiguration Scenarios
- Symptom: Embedding rate limit error is triggered, logs show excessive call frequency. Cause: Single collection thread count is not restricted, default high-concurrency thread configuration is used, which exceeds the vectorization rate threshold for tender documents.
- Symptom: Workflow calls to gpt-4o-mini return an error, no corresponding call record appears in logs. Cause:
chatIdis not bound to the bid task identifier, log collection rules do not cover workflow stages, leading to inability to trace critical errors. - Symptom: Question and answer pair extraction task remains stuck in training status, no call logs are displayed. Cause: The
detaillog switch is not enabled, audit rules matching task status are not configured, making it impossible to locate task blocking nodes.
How to Verify Proper Configuration
- Initiate a clause response interaction for a bid document, check if the
chatIdidentifier for the corresponding bid task is included in the logs. - Trigger a vectorization operation, check if the number of collected threads falls within the configured 2–4 thread range.
- Submit a question and answer pair extraction task, check if an associated entry for
responseChatItemIdis generated in the logs. - Check the log storage directory, confirm that single-project data is archived by bid identifier, and no cross-project data mixing has occurred.
The values provided here are common starting points. They should be evaluated against the specific samples relevant to the target deployment.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-10-19.