What this category of data looks like
This category of data originates from the national petition information system, local petition systems, the 12345 citizen hotline platform, grassroots governance platforms, and historical petition archives. Updates occur daily. Daily documents include petition registration forms, acceptance notices, transfer and assignment letters, handling opinions, review and recheck applications, and resolution plans. Document fields include petitioner identity identifiers, details of requested matters, handling circulation nodes, responsible unit information, and policy basis association items. Individual document lengths vary widely, ranging from hundreds to thousands of characters.
Constraints Imposed on Model Access and Configuration by These Characteristics
Decentralized data sources with daily updates require access configurations that support multi-source data synchronization and adaptation, to prevent data gaps. Diverse document types and large length differences require configuring splitting logic that adapts to different document structures. Petition data involves statutory handling procedures, and differs from 12345 hotline requests. It places greater emphasis on review, recheck, and unresolved case resolution. Model calls must retain the integrity of process fields, and must not arbitrarily truncate key node information. The most time-consuming acceptance scope screening link requires rapid association with historical data. Configurations must optimize the model's context recall logic. The volume of historical archive data accumulates over time. Configurations must reserve a reasonable context storage limit to avoid exceeding the model's carrying capacity. Additionally, petition data must strictly follow the relevance of handling procedures. Configurations must ensure that model calls do not separate the correspondence between circulation nodes and requests, to prevent outputs that do not align with statutory procedures.
How to Set Configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
maxContext | 8000–12000 token | Adapts to the length range of petition documents, retains complete handling circulation and request association information |
maxTokens | 2000–3000 token | Matches the output length requirements for policy explanations and process descriptions of petition matter handling |
quoteMaxToken | 1500 token | Ensures that referenced petition document fragments fully cover the key content required for acceptance scope screening |
toolChoice | auto | Supports automatic tool calls to complete associated queries of historical petition data, adapts to the tool call rules of FastGPT v4.17.0 |
temperature | 0.3–0.5 | Ensures the rigor of responses, complies with the statutory procedure requirements of petition handling, and avoids arbitrary statements |
AIPROXY_API_TOKEN | Exclusive token generated during deployment | Ensures the validity of identity verification for interface calls, adapts to the synchronization access permissions of multi-source petition data |
Three Common Misconfigurations
- Symptom: The model context is interrupted after calling the MCP tool, and the response cannot associate historical petition data. Cause: The
toolChoiceparameter is not configured correctly, and the session context is not retained during tool calls, resulting in the loss of key information of the current petition process. - Symptom: The interface call returns a 504 timeout error. Cause: The endpoint configured in
AIPROXY_API_ENDPOINThas too high response latency, and does not adapt to the batch synchronization requirements of daily updated petition data. - Symptom: Reranker model call fails, returning a model not supported prompt. Cause: The supported reranker model range of the current FastGPT version is not confirmed, and misconfiguring Qwen3-Reranker-8B causes compatibility issues.
How to Verify Successful Configuration
- Personnel initiate a petition matter acceptance scope screening test, verify that the model output references the key fields of the corresponding document, and confirm that the context is not truncated.
- Personnel call the MCP tool to query historical petition data, verify that the context is not interrupted after the tool call, and confirm that session process information is fully retained.
- Personnel view interface call logs, confirm that
AIPROXY_API_TOKENverification passes, and check for no identity verification related errors. - Personnel test input of petition documents of different lengths, confirm that the configurations of
maxContextandmaxTokensadapt to the current input length, and check for no content truncation issues.
The values listed are common starting points and should be validated against the specific deployment’s own data 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.