What data for this category looks like
Data for this category is typically produced by product designers, interaction designers, and front-end product teams. Daily documents include interactive prototypes, page flowcharts, component descriptions, and review records. Data sources include Figma or Axure files, team design systems, user feedback, and usability test records. Update frequency is usually weekly or per product version. Data fields typically include page nodes, operation paths, state transition rules, and review comments. There are no unified mandatory units. Adjustments are made flexibly based on document type.
What constraints these characteristics impose on context and token management
The document structure and update characteristics of this category impose multiple constraints on context and token management. First, single document lengths vary widely. Component descriptions may be hundreds of characters long. Complete prototype flows can span thousands of characters. This directly consumes varying amounts of context window space. Without reasonable limits, the model’s supported range may be exceeded. Second, document update frequency is high. Synchronization happens weekly or per version. If the context is not updated in a timely manner, the system references outdated design content. This leads to development deviations. Additionally, data fields focus on operation paths and state transitions. Precise recall of core content is required. Redundant review comments or non-critical nodes consume additional tokens. This reduces context utilization efficiency.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Max Context | 4000-8000 tokens, calibrated via testing | Adapts to the total content length of prototypes and review records for this category, avoids exceeding the model context window limit of FastGPT v4.17.0 |
| Max Token per Reference | 1200-1800 characters | Matches the average length of single prototype fragments or review comments, ensures complete inclusion of core operation paths |
| Context Update Cycle | Weekly or per product version | Matches the regular update frequency of documents in this category, ensures context always links to the latest design content |
| Number of Recalled Content Items | Top 3-5 relevant fragments | Focuses on core page nodes and operation paths, avoids redundant information consuming excessive tokens |
Three Common Misconfigurations
- Phenomenon: Non-sequitur responses appear after consecutive follow-up questions in a conversation, or an error indicating insufficient context is returned directly. Cause: The context window size is not adjusted for the high-frequency updated documents of this category, and outdated design content remains in the context, preventing new questions from linking to the latest prototype information.
- Phenomenon: After uploading a large Axure prototype file, the system prompts that the token limit has been exceeded and cannot process the file. Cause: A reasonable max token per reference threshold is not set, and the token consumed by a single document fragment exceeds the model’s supported upper limit.
- Phenomenon: Content truncation occurs during tool calls, and key operation paths are not fully identified. Cause: The field characteristics of documents in this category are not matched, and the recalled context fragments are too short, missing key nodes of state transitions.
How to Confirm Proper Configuration
- Upload a typical interactive prototype file. Check the context fragment length displayed by the system. Confirm it does not exceed the preset max context threshold.
- Initiate more than 3 consecutive follow-up questions. Verify whether the system can link to previous review comments or prototype nodes, and output content consistent with the current design version.
- Upload a single component description document exceeding 2000 characters. Check whether the system automatically restricts single-segment token usage according to rules.
- Check the context update records. Confirm that the system can synchronize the latest content to the context library within the preset cycle after document updates.
The values provided are common starting points and should be measured 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.