What This Category’s Data Looks Like
Qualification compliance bidding data is primarily sourced from public government procurement announcements, industry regulatory authority announcement platforms, and paper or electronic qualification documents submitted by bidders. The data update rhythm follows the cycle of individual bidding projects, and collection and verification of the latest qualification materials are typically completed before the project registration deadline. Document formats include structured PDF tables, scanned documents, and structured Excel files. Core fields include qualification level, issuing authority, validity start and end dates, qualification items required for the corresponding project, and some fields have classification units. For example, qualification level uses "Grade A/Grade B" as the unit, and validity period uses "year" as the unit.
What Constraints These Characteristics Impose on Multi-turn Dialogue and Prompting
Since qualification data is scattered across multiple sources with inconsistent formats, multi-turn dialogue must gradually guide users to supplement qualification information from different channels to avoid missing key verification items. Qualification documents have clear validity period requirements, so prompts must confirm field timeliness in each dialogue round to prevent expired qualifications from being used for bidding. Some qualification documents are lengthy and contain nested tables, so prompts must explicitly require field extraction by segments to avoid loss of key information due to context truncation. At the same time, qualification requirements vary across different bidding projects, so multi-turn dialogue must retain historical verification records to ensure context consistency.
Configuration Settings
These configurations apply to FastGPT V4.9.13 and later versions:
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000-12000 characters | Most individual qualification documents are thousands of characters long, and multi-turn dialogue needs to retain context information for multiple qualification documents |
Chunk size | 800-1200 characters | Qualification documents contain structured tables, so segments must retain table integrity and avoid splitting cross-page fields |
Recall count | Top 6 entries | Qualification compliance requires matching multi-dimensional project requirements, so sufficient qualification rules and past verification cases must be recalled |
Similarity threshold | 0.75-0.85 | Qualification field matching must be strict to avoid misjudging low-relevance qualification items as meeting requirements |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Large qualification scanned documents take longer to parse, and the default timeout is insufficient for complete parsing |
chat_history_max_length | 10 rounds | Qualification review requires multiple rounds of confirmation, so historical questions and replies must be retained to avoid repeating inquiries about confirmed qualification information |
The parameter values provided on this page are conventional recommendations used as a starting point for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require case-by-case analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Issue: 504 timeout error returned when parsing qualification files. Cause: The
PARSE_FILE_TIMEOUT_SECONDSparameter was not adjusted, and the default timeout is insufficient for processing large scanned documents. - Issue: Prompts do not execute qualification verification in the expected order. Cause: The execution logic of
prompt_templatewas not configured correctly, causing pre-verification steps to be skipped. - Issue: No traceable log records are generated when the application runs abnormally. Cause: The
enable_chat_logparameter was not enabled, making it impossible to troubleshoot errors in the qualification review process.
How to Confirm Configuration Is Correct
- Upload a test file containing multiple qualification fields, trigger multi-turn dialogue, and check that all confirmed qualification information is retained in the historical conversation list.
- Adjust the
Similarity thresholdto 0.6, submit a low-matching qualification file, and check that the system prompts insufficient matching. - Trigger an abnormal process, check that corresponding log records are generated, and confirm that the
enable_chat_logparameter is active. - Share the application and initiate conversations using two different test accounts, check that the conversation content of the two accounts does not interfere with each other, and confirm that the session isolation function is active.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.