What the data for this category looks like
Core data for this category comes from daily business documents of central SOE procurement centers, bidding offices, business requirement departments, audit and discipline inspection departments, and bidding agencies. These documents include procurement plans, requirement specifications, bidding documents, bid evaluation records, contracts, acceptance documents, and supplier complaint materials. Data sources cover enterprise procurement platforms, public resource trading platforms, supplier databases, contract management systems, and audit problem databases. The update frequency is daily. Data includes structured fields such as procurement budget and supplier qualifications, plus unstructured content such as bid evaluation opinions and rectification records. The data must comply with both internal enterprise procurement rules and state-owned asset supervision requirements.
What constraints these characteristics impose on the model access and configuration link
Daily data updates require a timed data source trigger mechanism in the model access configuration, to ensure Q&A content always matches the latest procurement documents and audit records. Data has both structured and unstructured formats, so configuration items must balance the ability to carry long-text context and the need for precise field matching. This scenario is party building learning Q&A, so strict compliance of content must be ensured, to avoid generating results that do not meet enterprise rules and regulatory requirements. Additionally, data must meet both internal enterprise procurement rules and state-owned asset supervision requirements. Model access must support binding custom compliance rules, to ensure Q&A results meet dual regulatory standards.
How to set the configurations
| Configuration Item | Recommended Range | Rationale |
|---|---|---|
maxContext | 8000-12000 token | Covers the total length of all documents related to a single procurement batch, to avoid truncating core compliance clauses |
temperature | 0.1-0.3 | Adapts to party building learning and compliance verification scenarios, reduces randomness of generated content, and ensures results meet enterprise rules, state-owned asset supervision, and party building integrity requirements |
quoteMaxToken | 2000-3000 characters | Limits the length of quoted document fragments, to ensure quoted content accurately corresponds to core compliance points such as procurement budgets and scoring methods |
AIPROXY_API_ENDPOINT | Fill in according to the model node deployed by the enterprise | Adapts to internal or third-party model access addresses, to ensure normal model call links |
AIPROXY_API_TOKEN | Fill in the model access key assigned by the enterprise | Completes identity verification for model access, to ensure compliance of call permissions |
toolChoice | auto | Automatically triggers tool calls related to compliance verification, adapting to links such as qualification review and budget verification in bidding and procurement |
Three common mistakes
- Phenomenon: Returns an error "channel not found" when accessing non-OpenAI models. Cause:
AIPROXY_API_ENDPOINTandAIPROXY_API_TOKENare not configured correctly, or the key does not match the model address. - Phenomenon: Generated compliance recommendations deviate from party building integrity requirements or enterprise procurement rules. Cause: The
temperaturevalue is too high, causing the model to generate overly divergent content that does not meet the strictness requirements of compliance scenarios. - Phenomenon: Responses omit core content such as procurement budget basis or scoring methods. Cause: The
maxContextvalue is too small, causing long documents to be truncated and unable to fully load core compliance clauses.
How to confirm the configuration is complete
- Enter the model management page of FastGPT v4.17.0, test the configured model interface, and check that the returned status code is 200, to confirm that the access link is normal.
- Input test questions involving procurement budget verification and supplier qualification review, check whether the response references fragments of corresponding documents, to confirm that the context and quotation configurations take effect.
- Trigger the data source synchronization task, check the background logs to confirm that the data update frequency meets the daily requirement, to verify that the timed synchronization configuration is normal.
- Adjust the
temperatureparameter to 0.2, test whether the generated compliance recommendations remain strict and have no overly divergent content, to confirm that the temperature configuration meets the scenario requirements.
The values provided here are common starting points, and should be evaluated against the reader's own samples.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-28.