What the Data for This Category Looks Like
Software development financing daily report data is primarily sourced from corporate financing disclosure announcements on public trading venues and compliant third-party financial data APIs. Data collection for each day is completed after market close on workdays, with no updates on non-workdays. Each daily report document includes fields such as corporate entity, financing round, financing amount, investor lineup, financing completion date, and affiliated technology sector. Financing amounts are uniformly denominated in RMB ten thousand or USD. Some entries include a core business introduction of the financing party.
Constraints Imposed on Multi-turn Dialogue and Prompt Engineering
The daily update requirement requires that multi-turn dialogue processes clearly notify users that data only covers workday-disclosed financing information, preventing queries about non-workday content. The fixed field structure requires prompts to strictly limit Q&A to public fields within the daily report, and prohibit generating undisclosed additional business information. The differentiated financing amount units require prompts to uniformly require labeling of pricing units when outputting amounts, avoiding confusion between RMB and USD denominations. Additionally, daily reports may contain a large number of entries, so prompts must guide users to narrow query scopes to avoid returning excessive irrelevant results.
Configuration Recommendations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | Last 20 conversation turns | Q&A for software development financing daily reports focuses on single or a small number of financing entries. Excessive context will interfere with core information extraction |
systemPrompt | Answer strictly based on the uploaded software development financing daily report documents, only use public fields within the documents, require labeling pricing units for amounts, only cover data disclosed on workdays | Match the data fields and update constraints of this category to avoid generating irrelevant or incorrect information |
Recall Count | Top 3 entries | Single financing entry has concentrated information. Too many recalled entries will cause context redundancy and reduce answer accuracy |
Similarity Threshold | 0.75 | Filter low-relevance financing entries while retaining associated information from the same sector or financing round |
maxToken | 8000 | Single financing daily report has moderate length; 8000 tokens can cover the full content of one daily report |
toolCallEnable | Disabled | Q&A for software development financing daily reports only requires answering based on knowledge base content, no external tool calls needed |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Phenomenon: A
401 No auth credentials founderror is returned when calling knowledge base Q&A. Cause: FastGPT API key or knowledge base access permissions are not configured correctly, resulting in the request not carrying valid authentication information. - Phenomenon: Voice content is not converted to text after a user triggers voice input during a conversation. Cause: Voice-to-text model binding configuration is not enabled, or the bound voice model has not completed the authorization process.
- Phenomenon: The financing amount returned in a conversation does not have a pricing unit labeled. Cause: The system prompt does not explicitly require labeling units, causing the model's response to not comply with data field specifications.
How to Verify Proper Configuration
- Test the agent with a query such as "Which software development companies completed financing on October 15, 2024?", then verify that returned results only include data disclosed on workdays.
- Submit a test question involving amount queries, such as "What is the financing amount of a certain software development company?", then verify that returned results include labeled pricing units.
- Review conversation context records to confirm that the system automatically limits context turns to avoid redundant information interference.
- Check knowledge base recall logs to confirm that the number of recalled entries matches the configured
Recall Countparameter.
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.