What this type of data looks like
Competitor quote data primarily comes from public bidding platforms, procurement announcements released by industry associations, and bid documents publicly disclosed by bidders. Update cadence aligns with individual bidding project cycles; final quote updates are usually completed 1 to 3 days before project bid opening. Industry benchmark data is updated once per week. Documents use structured tables as their core carrier, with common formats being Excel or PDF-embedded tables. Fields include full bidder name, quote item details, unit price, total price, quote validity period, qualification requirements, and more. Field units are uniformly Renminbi yuan, quantity units (such as unit/set/square meter), and time units (days).
Constraints imposed on model integration and configuration by these characteristics
The large number of structured fields and fixed formats require the model to support precise field extraction and format validation, so explicit extraction schemas must be configured to avoid ambiguous outputs. The highly variable data update frequency requires adaptation to both scheduled pull and real-time trigger invocation modes, with corresponding configuration of different trigger parameters. Documents are primarily table-based, so targeted file parsing rules must be configured to adapt to extraction logic for Excel multi-sheet or PDF tables. Fields include currency and time units, so additional unit validation rules must be configured to prevent missing or incorrect units in extraction results.
How to Set Configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
temperature | 0.2–0.4 | Competitor quotes require precise matching of fields and values to avoid divergent outputs; this range balances accuracy and format compliance |
maxTokens | 8000–12000 | A single competitor quote document usually contains dozens of quote items; this range covers complete input and output content |
parse_excel_sheet | Specify sheet name: Quote Details | Core data for competitor quote documents is typically stored in a specifically named sheet; direct specification skips parsing of invalid sheets |
field_extraction_schema | Structured JSON containing bidder name, quote item, unit price, total price, and quote validity period | Matches the fixed field structure of competitor quotes to ensure extraction results align with business requirements |
timeout | 300 seconds | When parsing large quote documents or pulling multi-source data, this duration covers most normal processing workflows |
tool_call_enabled | true | External interfaces are required to pull the latest public quote data; enabling tool calls enables real-time data synchronization |
The parameter values provided on this page are general recommendations to serve as a starting point for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require targeted analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Configuration Errors
- Symptom: Quote fields are missing or the format does not meet preset requirements. Cause: No
field_extraction_schemaconfigured to match the exclusive fields of competitor quotes, leading the model to extract content that deviates from business needs. - Symptom: No thought process output after enabling tool calls. Cause:
temperatureis set too low and tool calls are forcibly enabled, causing the model to compress intermediate thinking steps to prioritize returning structured results. - Symptom: Unable to connect to a local MCP service to pull quote data. Cause: No port and access whitelist for the local service configured in
mcp_config, preventing the system from establishing a connection.
How to Verify Successful Configuration
- Upload a desensitized competitor quote Excel document, and check if the parsed fields fully match the preset
field_extraction_schema. - Trigger a single model invocation, and verify that the returned result contains complete quote fields and meets the required structured format.
- Check system operation logs to confirm there are no
400 Bad Requestor500 Internal Server Errorinvocation errors, and that the status code is200 OK. - Adjust the
temperatureormaxTokensparameters, and verify that changes made in the interface configuration take effect in model invocation results.
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.