What the data for this category looks like
Reference only; verify against the target FastGPT release and deployment documentation.
What constraints do these data characteristics impose on the multi-turn dialogue and prompt engineering link
The characteristics of this category of data impose clear constraints on multi-turn dialogue and prompt engineering configurations. The fixed nature of structured fields requires prompts to explicitly specify field names and corresponding units to avoid generating content that violates business rules. The diversity of unstructured attachments requires retaining the business scenario associated with each attachment in dialogue context to prevent loss of key information during multi-turn interactions. The lag in data updates requires filtering old business nodes older than 30 days to avoid confusion with current handling processes. The feature that individual documents cover multiple process links requires multi-turn dialogue to track the current handling node in sequence, ensuring guidance content matches business progress.
How to set the configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chatId | Bind to a fixed model ID, do not switch automatically with dialogue | Prevent locally deployed models from being automatically replaced with other types, ensure the specified model is called |
messages | Retain the most recent 20 dialogue contexts, filter history older than 30 days | Business processes of state-owned capital investment companies have long cycles; overly long contexts can easily confuse current handling nodes, retaining core dialogue chains improves guidance accuracy |
variables | Preset 12 business field variables, including project number, handling node, deadline | This category of business has fixed structured fields; preset variables enhance the matching between prompts and business data |
| Maximum context length | 8000–12000 token | Individual business documents contain multi-link descriptions and attachment summaries, requiring sufficient context to support complete process tracking |
| Single search limit | Top 3 matching knowledge base results | Business rules for this category are relatively fixed; too many recalled results can interfere with the accuracy of process guidance |
Three common mistakes
- Phenomenon: When selecting a locally deployed model during debug preview, the actual called model changes to another type, and responses cannot be generated normally. Cause: The model binding corresponding to
chatIdis not locked in the application configuration, or the API address of the third-party model is configured incorrectly. - Phenomenon: Uploaded JSON business files cannot be parsed correctly, and the interface prompts "character count exceeded". Cause: The character count limit threshold for dialogue input is not adjusted, or overly large business documents are not split.
- Phenomenon: After associating multiple business knowledge bases, valid business data cannot be recalled, and the number of recalled results is insufficient. Cause: The upper limit of the number of associated knowledge bases is not adjusted according to business data volume, or a reasonable similarity threshold is not set.
How to confirm the configuration is complete
- Enter the application debug interface, enter initial questions related to business handling, check whether the returned response contains the preset
variablesfield values. - Switch the locally deployed model, verify that the model bound to
chatIdis correct, with no automatic switching. - Upload a test business JSON file, check whether it can be parsed normally, with no character count exceeded prompt.
- Associate 2-3 business knowledge bases, test whether the number of recalled results matches the configured single search limit.
The values provided here are common starting points and should be measured against the user’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.