What this category of data looks like
New energy development policy and regulatory basis data is primarily sourced from official announcements and industry standard documents issued by national development and reform commissions, national energy administrations, and local energy authorities. Updates follow no fixed cycle, and are synchronized when new grid connection requirements, subsidy policies, or project approval rules are released. Document structure includes policy numbers, issuing authorities, release dates, effective scope, core clauses, and attachment descriptions. Fields cover applicable regions, installed capacity requirements, and approval process nodes. Units include kilowatt, megawatt, year, and similar. Individual document lengths vary widely, from short notifications of a few hundred words to complete management regulations spanning tens of thousands of words.
What constraints these characteristics impose on the model access and configuration workflow
The multi-source, decentralized nature of new energy policy data requires configuring multiple knowledge bases for associated synchronization, to ensure coverage of all valid central and local policies. Wide variation in document length requires configuring context retention parameters adapted for long texts, to avoid truncation of key clauses. Fields include clear power units and effective dates, so configuration parameters must support unit calibration and time range filtering, to ensure the policy content identified by the model meets regional and timeliness requirements. The non-fixed update cycle for policies requires configuring a periodically triggered knowledge base synchronization mechanism, to ensure data remains up to date and valid.
How to set the configurations
| Configuration Item | Recommended Value | Rationale for This Value |
|---|---|---|
maxContext | 8000–12000 token | New energy policy documents vary widely in length, with long files reaching thousands of words. Sufficient context must be retained to ensure complete association of policy clauses |
maxTokens | 2000–3000 token | Policy Q&A requires outputting complete compliant basis content, to avoid truncation of key clause content |
temperature | 0.1–0.3 | Policy content must remain rigorous and accurate, reducing generation randomness to prevent incorrect interpretations |
vision | Disabled | This scenario primarily relies on text-based policy documents, and no visual model assistance is needed |
AIPROXY_API_ENDPOINT | Fill in the exclusive address provided by the deployment service provider | Ensures connectivity of the model invocation link |
AIPROXY_API_TOKEN | Fill in the exclusive assigned secret key | Verifies invocation permissions and ensures secure data interaction |
Three common misconfigurations
- Symptom: Occasional output interruptions during model invocation, with complete references to policy clauses not included. Cause: The
maxContextconfiguration value is set too low, leading to early truncation of long document context, causing the model to terminate generation before obtaining complete policy basis. - Symptom: No transcription result after attempting to upload audio files. Cause: No speech-to-text tool is bound for this scenario, and corresponding audio processing configurations are not enabled, so audio-to-text conversion cannot be completed.
Reference only; verify against the target FastGPT release and deployment documentation.
How to confirm configurations are correctly set
- Submit a query that includes a specific policy document number, and check whether the returned result includes the complete clause content for that document number.
- View the model invocation logs to confirm that there are no format errors in the
AIPROXY_API_ENDPOINTandAIPROXY_API_TOKENconfigurations. - Test queries for policy documents of different lengths, to confirm that output is not forcibly truncated.
- Trigger a tool invocation test, to confirm that there are no permission or address configuration errors in the tool invocation link.
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 2026-09-28.