What the data for this category looks like
State-owned capital operation companies’ policy and regulatory basis data mainly comes from normative documents issued by the State-owned Assets Supervision and Administration Commission of the State Council, local state-owned assets supervision institutions, and internal supporting management systems covering capital operation, equity management, and risk prevention and control. Data updates trigger synchronously with new policy releases and regulatory revisions. There is no fixed update cycle, but core documents are updated at least quarterly. Document structures include fields such as release document number, issuing authority, effective date, clause entries, and scope of application. Field formats follow unified state-owned assets system specifications. No custom units or special measurement requirements apply.
Constraints on the model integration and configuration link
Policy data for state-owned capital operation companies originates from dispersed sources, and follows unified state-owned assets system specifications. Model integration must support multi-source format adaptation to avoid recall failures caused by field incompatibility. A large share of policy documents are long-form. Parameters adapted to long context must be configured to prevent key policy clauses from being truncated. Data updates follow no fixed cycle. Automatic synchronization rules must be configured to keep knowledge base content aligned with latest policies. Structured fields including document numbers and effective dates of state-owned assets documents require precise retention. Excessive text compression during model calls must be avoided to prevent loss of field information.
How to set configurations
The following configurations are formulated for FastGPT v4.17.0.
| Configuration Item | Recommended Range | Rationale |
|---|---|---|
maxContext | 8000–12000 token | Adapts to the long-text structure of state-owned capital operation policy documents, preventing key policy clauses from being truncated |
maxTokens | 2000–3000 token | Matches the response length requirements of policy Q&A, ensuring complete output of clause references and explanations |
quoteMaxToken | 1500 characters | Limits the length of a single referenced policy text, ensuring effective utilization of the context window |
temperature | 0.1–0.3 | Reduces response randomness, ensuring the rigor of policy interpretations and complying with the specification requirements of state-owned assets regulations |
AIPROXY_API_ENDPOINT | Fill in the dedicated interface address provided by the service provider | Adapts to the network routing requirements of model calls, ensuring normal forwarding of requests |
toolChoice | auto | Automatically selects tool calls, supporting precise reference and retrieval of policy clauses, meeting the requirements of Q&A scenarios |
Three common configuration errors
- Phenomenon: After enabling the indexing model on the model supplier page, the channel configuration entry fails to load normally. Cause: The data source was not preprocessed in accordance with state-owned assets system document format requirements, leading to index construction verification failure.
- Phenomenon: Policy data can be retrieved in the knowledge base, but the large model returns an empty response or no content. Cause: The
maxContextparameter value is too small, preventing retrieved policy text from being fully passed into the model context window. - Phenomenon: Re-ranking model configuration fails after offline deployment, with an interface call timeout prompt. Cause: The correct
AIPROXY_API_ENDPOINTwas not configured, preventing normal routing of re-ranking model requests.
How to confirm successful configuration
- Manually upload a policy document from a state-owned capital operation company, trigger knowledge base retrieval, and confirm retrieval results include the document’s complete clause content.
- Submit a policy-related Q&A request, and check whether the response includes accurate structured field information such as document numbers and effective dates.
- View model call logs, and confirm no format errors exist in the
AIPROXY_API_TOKENandAIPROXY_API_ENDPOINTconfiguration parameters. - Trigger a knowledge base update task, and confirm the update progress completes normally with no format verification errors.
The values provided are common starting points and should be measured against the user’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.