What the data for this category looks like
In mobile development requirements and design document drafting scenarios, typical data comes from code repositories, app store backends, crash monitoring platforms, and device coverage data. Daily deliverable documents include version release notes, adaptation checklists, crash analysis reports, and app store materials. Version release notes include device adaptation items, permission configuration, and review status fields. Adaptation checklists mark system version and resolution parameters. Data updates occur daily or per version release cycle.
Constraints on Context and Token Handling
Differences in data formats and fields across multiple sources require distinguishing the structure of different document types during context splicing. This prevents format chaos from consuming extra tokens. Frequently updated documents need dynamic adjustment of context refresh frequency to stop outdated data from occupying quota. Fields like device model and system version require context retrieval to match corresponding dimensions, avoiding irrelevant content from consuming tokens. A single document such as a crash analysis report may contain many log fragments, easily exceeding the single-block token limit. Strict control of chunk granularity is required here.
How to Set Configurations
| Configuration Item | Recommended Value Range | Rationale |
|---|---|---|
maxContext | 8000–12000 token | Adapts to multi-source document splicing needs, and avoids exceeding the model context limit of FastGPT v4.17.0 |
quoteMaxToken | 1500–2000 token | Matches the single-block length of mobile development documents, preventing token overload for individual adaptation checklists or crash reports |
| Proxy Service Endpoint | Fill in the assigned valid service address | Connects to compliant model invocation links, supporting low-latency development scenario requirements |
| Proxy Service Token | Fill in the assigned identity verification key | Ensures legitimate interface call identities, preventing unauthorized access |
| Chunk Overlap Length | 100–200 characters | Adapts to continuous field connections in version release notes, avoiding context content breaks |
Three Common Configuration Mistakes
- Incorrect proxy service endpoint or proxy service token configuration causes interface call failures, returning authentication failure or connection timeout errors. This occurs when valid proxy service addresses and keys are not correctly obtained, or the protocol prefix is omitted during setup.
- Excessively large chunk length settings, such as over 2000 characters, lead to high token consumption for single adaptation checklist or crash analysis report blocks, triggering model context overflow errors. This happens when general scenario chunk parameters are used directly, without matching the detailed field lengths of mobile development documents.
- Failure to adjust context refresh rules to match document update frequency results in recalled content being outdated device adaptation data. Generated requirement documents will not align with current version requirements. This occurs when the update rhythm of data sources is not considered, and static context configuration is used consistently.
How to Verify Proper Configuration
- View FastGPT call logs to confirm that proxy service endpoint and proxy service token configurations are correctly loaded, with no authentication failure records.
- Upload a typical mobile adaptation checklist document, test token consumption after chunking, and confirm single-block token counts stay within preset ranges.
- Generate a draft requirement document, and check that context recalled content includes core fields such as current version device adaptation items and permission configurations.
- Compare documents from different sources, such as code repositories and app store backends, to confirm no irrelevant redundant content is mixed during context splicing.
The values provided here 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 2026-10-19.