What This Category of Data Looks Like
The policy and institutional basis data for state-owned capital operation companies mainly comes from publicly released regulatory documents from national state-owned assets supervision authorities and the Ministry of Finance, as well as internal compliance archives. Data is ingested within 7 working days after a new policy is published. The data includes textual policy notices, management measures, and structured regulatory report data. Document structure is divided into policy metadata (document number, issuing authority, effective date) and main content. Structured data contains information such as unified field codes and reporting cycles. The length of individual documents ranges from a few-page notice to a full-length management measure, and some structured reports can reach 15,000 rows.
Constraints Imposed on Multi-turn Dialogue and Prompt Engineering
The policy data for state-owned capital operation companies has three core characteristics: long text, structured format, and timely updates. These characteristics impose multiple constraints on multi-turn dialogue and prompt engineering configurations. Long textual policy files can lead to overly long conversation history arrays. The number of retained dialogue rounds must be limited to avoid exceeding the system’s processing limits. The field codes of structured regulatory data are unified, so prompt engineering needs to preset mapping rules to simplify users’ abbreviated queries. Policy update frequency is fixed, so prompt engineering must explicitly prioritize calling the latest ingested documents to ensure Q&A accuracy. The context of multi-turn dialogue must be bound with a unique identifier to meet the traceability requirements of compliance audits.
How to Configure the Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
| Maximum context length | 8000–12000 characters | Adapt to long-text Q&A for state-owned capital operation policy documents, avoid overflow of the messages array, and comply with the session processing limit of FastGPT v4.17.0 |
| Session ID binding | Enabled | Ensure exclusive context for multi-turn dialogue, meet the traceability requirements of compliance audits, and use chatId to implement session isolation |
| Global variable configuration | Preset policy document number mapping and regulatory field codes | Simplify user query methods, adapt to retrieval requirements for structured policy data, and reduce user input costs through preset rules in variables |
| Single retrieval limit | Top 8 entries | Cover core clauses of state-owned capital operation policies, avoid redundant results, and improve dialogue response speed |
| Timeout threshold | 60 seconds | Adapt to the parsing and retrieval time of 15,000-row Excel data, and avoid timeout errors during long-document Q&A |
| Question optimization | Enabled | Automatically complete users’ abbreviated queries into standard policy document numbers, improving retrieval accuracy |
Three Common Misconfigurations
- Symptom: Unable to obtain token consumption data when calling the dialogue interface, or no token statistics field appears in logs. Cause: Session token statistics configuration is not enabled, and
chatIdis not bound to the log storage module, making it impossible to track token usage per dialogue turn. - Symptom: Multi-turn dialogue response times out with status code 504 after importing a Word document with 100,000 Chinese characters or an Excel file with 15,000 rows. Cause: No reasonable timeout threshold is set, and the number of single retrieval results is not limited, leading to parsing and retrieval time for large data exceeding the system limit.
- Symptom: The dialogue returns a "missing parameter" error when uploading a file via API. Cause: The field name for file upload is not correctly configured in the request body, or the MIME type of the file is not specified, preventing the system from recognizing the uploaded structured or unstructured policy data.
How to Verify Successful Configuration
- Initiate one round of policy Q&A, continuously ask for clause details three times, and check if the session context is coherent with no duplicate retrieved content.
- Upload a 15,000-row structured regulatory data file, initiate a data query, and check if the response time meets the preset timeout threshold requirements.
- View the logs in the private deployment backend, confirm that each dialogue records token consumption data, and that
chatIdmatches the session identifier. - Call the dialogue API to upload a file, check if the returned result includes matching policy clauses or data content, with no parameter error prompts.
The values given are common starting points and should be measured 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.