This document provides instructions based on the functional configuration of FastGPT v4.17.0.
What Data for This Category Looks Like
The daily documents for this category include activity plans, resource slot schedules, activity page copy, and activity post-event review reports. Data is sourced from internal content libraries, activity backend traffic data, user feedback, and activity execution records. Data updates are typically triggered weekly or around holiday nodes. Document fields include activity cycle, resource slot code, traffic metrics, user feedback tags, and more. There are no fixed mandatory units; adjustments are made based on document type and operational requirements.
What Constraints Do These Characteristics Impose on the Context and Token Link
Activity-related documents have clear activity cycles and resource slot binding rules. Context calls must be limited to the corresponding activity cycle to prevent cross-activity data from interfering with core logic. Resource slot schedule tables have fixed structures and numerous fields, so the total context token count must be strictly controlled to avoid call failures caused by exceeding the model’s carrying limit. Data updates fluctuate with activity nodes. Context must support dynamic loading of the latest traffic and user feedback data, while also preventing irrelevant documents from occupying token quotas and reducing the call efficiency of core information.
How to Set the Configuration
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Maximum number of context entries | Top 8-12 entries | Matches the number of core historical documents within the activity cycle, avoiding redundant content occupying token quotas |
| Maximum context reference token count | 9000-11000 token | Adapts to the context carrying limit of mainstream large models, aligning with the total character count of activity-related documents |
| Context association scope | Associated documents within the activity cycle | Limits data sources to exclude cross-activity irrelevant content |
| Content filtering rules | Match by activity tags | Only call plans, schedules, and review documents for the same activity |
| Context refresh timing | Activity nodes or weekly updates | Matches data update frequency to ensure content timeliness |
Three Common Misconfigurations
- The number of context entries displayed on the page does not match the number actually passed to the API. This occurs because the configured context filtering rules are not correctly bound to activity-specific tags, resulting in non-activity-related redundant documents being included in the count.
- Documents in context references cannot be rendered correctly as Markdown format. This occurs because original format markers were not preserved during the document splitting stage, or the format restoration configuration was not enabled during context calls.
- Context token total exceeds the model limit, causing call failures. This occurs because a reasonable upper limit for
quoteMaxTokenwas not set, leading to excessive token quota being occupied by a large number of activity plans and review documents.
How to Confirm the Configuration Is Correct
- View context call logs to confirm that only associated documents within the activity cycle are included, with no cross-activity irrelevant content.
- Test the call interface to verify that the passed token total matches the configured maximum context reference token count.
- Check the context rendering results to confirm that document formats can be correctly restored to Markdown styling.
- Verify the context refresh timing to confirm that the latest activity review and traffic data can be loaded promptly after data updates.
The values provided here are common starting points and should be evaluated against your own specific 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.