Reference only; verify against the target FastGPT release and deployment documentation.
What the Data for This Category Looks Like
The data for this category comes from the national medical insurance information platform, hospital HIS and medical insurance interfaces, medical insurance catalog and coding library, and cross-regional medical settlement platform. The update frequency is daily. Commonly processed documents include medical insurance settlement lists, expense details, medical record homepages, prescriptions, rejection payment lists, and settlement reconciliation statements. Document fields include diagnosis and treatment item codes, medical supplies codes, expense amounts, insured person identifiers, settlement times, and more. Some documents require association with matching information from medical insurance catalog codes obtained across systems.
What Constraints Do These Characteristics Impose on the "Multi-turn Dialogue and Prompt Engineering" Link
Since data sources are scattered and updated daily, multi-turn dialogue must support real-time verification of cross-system codes, and prompts must embed the latest medical insurance catalog matching rules. There are many document fields and complex associated relationships, so multi-turn dialogue must gradually guide the supplementation of missing fields to avoid context overflow caused by excessive single input content. Settlement audit involves fund security, so prompts must clearly state the audit basis for each step, and complete matching processes must be retained in dialogue history for traceability. Additionally, in batch processing scenarios, multi-turn dialogue must support staged interaction by individual settlement records.
Configuration Settings
The configurations in this chapter are adapted to the business characteristics of this category, as detailed below:
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Maximum Context Length | 800–1200 characters | Adapt to the input length of multi-document association for this category, avoid context overflow |
| Dialogue Timeout | 600 seconds | Cover time requirements for cross-system code matching and detail verification |
variables Binding | Bind the daily medical insurance catalog version number | Ensure the latest coding matching rules are used for each call |
chatId Binding Rule | Bind to a single settlement audit task | Retain complete dialogue history for a single task for subsequent traceability |
messages Format | Concatenate in the order of system prompt + user input + tool return results | Align with the interaction logic of multi-turn dialogue |
| Number of Recalled Documents per Request | Top 5 | Focus on core settlement-related detail and list information |
Three Common Misconfigurations
- Dialogue history cannot be exported and storage duration is uncontrollable: Symptoms include no export button in the interface, or dialogue records are automatically cleared after the configuration cycle. Causes include not enabling dialogue history persistence configuration, and not binding the correct storage medium.
- File upload parsing error: Symptoms include an error triggered by the file upload node in the workflow, unable to obtain the file address. Causes include incorrect configuration of the file storage path, or the document parsing tool not being adapted to the format of medical insurance-related documents.
- General account KEY cannot be used as the aggregated BASE_URI: Symptoms include access exceptions returned by model calls. Causes include the general account KEY not being bound to the private deployment domain whitelist, or the private deployment API access path not being configured correctly.
How to Verify Successful Configuration
- Initiate a simulated dialogue for a single medical insurance settlement audit, and confirm that the dialogue history retains all interaction steps for the current task.
- Upload a medical insurance settlement list, and confirm that core fields such as diagnosis and treatment item codes and expense amounts can be extracted after parsing.
- When calling the model, check whether
variablesautomatically binds the daily medical insurance catalog version number. - View the maximum context length in the configuration items, and confirm that it meets the input requirements of the current task.
The values provided are common starting points and should be evaluated 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.