What the data for this category looks like
Data for air pollution control financing daily reports comes primarily from ecological environment authority project announcements, local public resource trading platforms, bank green credit disclosure announcements, and industry association project ledgers. Data is updated daily. Each daily report document contains one or more financing project records. Core fields include project name, implementing entity name, financing amount (unit: ten thousand RMB), financing method, project affiliated region, specific governance type (such as industrial flue gas denitrification, volatile organic compound control), and information disclosure date. Field lengths vary widely, ranging from tens to hundreds of characters.
What constraints these characteristics impose on tool calling and plugins
The multi-source, scattered, and daily-updated nature of data for this category requires tool calling plugins to support multi-API source authentication configuration and incremental pull logic, to avoid repeatedly pulling already processed historical data. Different data sources have significant differences in field formats, such as inconsistent unit descriptions for financing amounts and naming rules for project types. This requires configuring field mapping and standardization processing nodes to ensure unified output formats. Some data sources have interface call frequency limits, so reasonable call frequency thresholds and retry strategies must be set to handle connection timeout or rejection errors. The length of individual records varies widely, so the plugin's text parsing segment parameters must be adjusted to adapt to long text field processing.
How to configure settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
plugin_api_qps_limit | 10–20 requests per minute | Adapts to the interface call frequency limits of most public data sources, avoiding rate limit errors |
plugin_api_timeout | 600 seconds | Covers the interface response durations of most public data sources, preventing normal requests from being terminated early |
incremental_sync_enable | Enabled | Adapts to the daily update characteristic of daily report data, reducing duplicate data processing overhead |
unique_identifier_rule | Disclosure Date + Project Name | This category has no unified project ID, and the combined field can accurately identify individual financing projects |
text_parse_segment_size | 800–1200 characters | Adapts to the differences in text length of records in this category, ensuring complete parsing of long fields |
plugin_retry_count | 3 retries | Addresses temporary connection rejection or timeout issues, improving call success rates |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing settings.
Three common configuration errors
- Symptom: Plugin calls return the error
connect ECONNREFUSED 172.23.0.2:3001. Cause: Local plugin container network or port mapping is not configured correctly, preventing the platform from accessing the target interface service. - Symptom: The knowledge base index model generated by tool calling automatically switches to
text-embedding-3, which is inconsistent with the previously configuredtext-embedding-ada-002. Cause: The embedding model configuration of the knowledge base is not locked. The platform pushes a default model version update, or the fixed embedding model parameter is not specified in the plugin call node. - Symptom: The Qwen2.5 model deployed via Ollama cannot trigger tool calling, and preset information is not returned during workflow testing. Cause: The correct model call endpoint is not specified in the plugin configuration, or the tool calling permission of the model is not enabled, preventing the model from recognizing tool calling instructions.
How to confirm configuration is successful
- View plugin call logs to confirm that daily scheduled trigger tasks only pull newly added financing project records for the current day, with no duplicate data.
- Manually call the test interface to check whether returned fields have completed standardized mapping according to the configuration, and that formats of fields such as financing amount and region are unified.
- Adjust the trigger frequency of tool calling, observe whether rate limit errors from the data source are triggered, and verify that the
plugin_api_qps_limitconfiguration takes effect. - Switch the embedding model parameter to confirm that the model used during knowledge base index generation matches the configured one, with no automatic changes.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.