What the data for this category looks like
Carbon steel research reports primarily originate from public industry databases, professional research institution reports, and monthly operational data released by industry associations. Core supply and demand data is updated on a weekly and monthly basis, while spot market-related fragments are updated daily. Most documents are distributed in PDF format, containing structured data tables, textual analysis paragraphs, and some include historical data comparison charts. Core fields include product name, spot price, social inventory, and steel mill output, with corresponding units of yuan/ton, ten thousand tons, and ten thousand tons respectively.
What constraints these characteristics impose on tool calling and plugins
Carbon steel research reports contain both structured data tables and unstructured analysis text. This requires tool calling to support both structured field extraction and non-contextual recall, and to adapt to field validation for exclusive units such as yuan/ton and ten thousand tons. Frequently updated market data requires the plugin data source to support incremental synchronization, to avoid retrieving outdated information. Fixed product category naming requires the tool's entity recognition link to be optimized for carbon steel sub-categories, to reduce entity matching errors. Longer research report documents require tool calling to support segmented parsing and long context processing, to avoid information loss caused by content truncation.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Single carbon steel research report text is relatively long, needing to cover complete supply and demand analysis and data table content |
RECALL_TOP_N | Top 8–12 entries | Structured data from carbon steel research reports is scattered across multiple reports, requiring sufficient recall volume to cover core data |
SIMILARITY_THRESHOLD | 0.75–0.85 | Terminology in the carbon steel industry is highly specialized, requiring a high threshold to filter irrelevant general research report content |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Structured table parsing for large PDF research reports takes a relatively long time |
TOOL_CALL_ENABLED | Enabled | Carbon steel research reports require calling structured data extraction tools to complete field validation and data aggregation |
UPLOAD_FILE_MAX_SIZE | 500 MB | The file size of single large-scale industry research reports is usually relatively large |
The parameter values provided on this page are conventional recommendations used to determine the starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis, and testing on self-provided samples is recommended before finalizing settings.
Three common mistakes
- Phenomenon: A
400 Bad Requesterror is returned when calling the OpenAPI interface, with the promptmessages is empty. Cause: Themessagesarray field is not correctly populated in the request body, or the passed context does not contain valid user questions and system prompts. - Phenomenon: The results returned by tool calling do not include exclusive unit validation information for carbon steel categories, such as incorrectly converting "yuan/ton" to other units. Cause: Unit mapping rules for carbon steel exclusive fields are not specified in the plugin configuration, leading to abnormal unit conversion during data parsing.
- Phenomenon: Locally deployed FastGPT responds slowly when calling the carbon steel research report retrieval plugin, but model API calls take normal time. Cause: The data source caching mechanism of the plugin is not configured, resulting in re-parsing of full research report files for each call, which increases processing time.
How to confirm the configuration is complete
- When the test interface is called with a query about carbon steel categories, verify that returned results include valid calling records for the
tool_callsfield. - When a single carbon steel research report PDF file is uploaded, confirm that the file parsing status is displayed as "Completed", and parsed text segments have no obvious truncation.
- When API call request parameters are configured and the chain-of-thought output switch is enabled, check that returned results include the model's reasoning steps and the triggering logic of tool calling.
- When the similarity threshold parameter is adjusted, test the number of recall results under different thresholds, and confirm that the relevance between recall results and user queries meets expectations.
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.