What the Data for This Category Looks Like
Coal-electric integration service consultation data is primarily sourced from internal coal mining ledgers and power dispatch logs of public and state-owned enterprises, plus service guidelines and historical consultation records from government service platforms. Data update frequencies differ: operational ledgers and dispatch logs are updated daily, while government service guidelines are updated quarterly. Each individual document includes fields such as consultation ID, business type, submission time, processing status, and response text. Business type is an enumerated value covering categories including coal transportation approval, power grid connection application, and similar items. No additional units are applied to fields, and time fields use ISO standard formatting.
Constraints for Multi-turn Dialogue and Prompt Engineering
Dispersed data and inconsistent update cycles for coal-electric integration projects require multi-turn dialogue to retrieve information across internal operational documents and government service guidelines, to avoid context gaps. Business fields include enumerated values and long-form compliance clauses, so multi-turn dialogue must track conversation context via chatId to ensure each response matches the current business state. Dynamically updated operational data requires prompt engineering to prioritize real-time API calls, while static service guidelines can be cached for reuse to avoid fetching outdated content. Long-form responses require limiting the context window length to prevent critical compliance clauses from being truncated, which reduces the accuracy of service consultation responses.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Maximum Context | 10000–15000 characters | Matches the average length of coal-electric integration project documents, to avoid truncating critical compliance clauses |
messages Field Handling | Retain the most recent 20 conversation history entries | Covers the full workflow of a single service consultation, to prevent context loss |
variables Binding | Bind business type and processing status variables | Matches enumerated values in data fields, to improve alignment between responses and business scenarios |
chatId Association Rule | Bind unique session identifiers | Tracks the full workflow of a single service consultation, to avoid mixing context across different sessions |
| Conversation Timeout Setting | 600 seconds | Matches the average processing duration for coal-electric project service consultations, to avoid prematurely ending sessions |
Three Common Configuration Mistakes
- Empty conversation log run data after invoking a workflow. Cause: The
chatIdparameter was not correctly bound, so the conversation context was not associated with the corresponding workflow instance, and valid run data could not be generated. - Passing code block-formatted parameters to the prompt engineering of the "Text Content Extraction" module, resulting in undefined extraction results. Cause: Parameter delivery format was not standardized via the
variablesfield, so the prompt engineering could not recognize the passed code block content. - Log records disappear after a user deletes a conversation. Cause: Independent log storage was not enabled in the configuration, so conversation records and user sessions were bound to the same storage unit, and deleting the session also cleared the log records.
How to Verify Successful Configuration
Use the following steps to confirm correct configuration:
- A complete service consultation conversation is initiated. The
chatIdparameter is checked to confirm it remains consistent across each round of dialogue, and no context interruptions are observed. - Preset business variables are passed to the prompt engineering. Extraction results are checked to confirm they match the enumerated values in the data fields, verifying that the
variablesbinding configuration is active. - A user deleting a conversation is simulated. Corresponding log records are checked to confirm they are retained in storage, verifying that independent log storage has been enabled.
- A multi-turn conversation test is run. The
messagesfield is checked to confirm it retains the specified number of historical conversations, verifying that the context window configuration meets expectations.
The values provided here are common starting points, and should be evaluated against the reader’s own sample data and use cases.
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.