Multi-turn Dialogue and Prompt Engineering for Railway and Highway Yield Rates

Railway and highway yield rate data is sourced from publicly available transportation industry statistical datasets and anonymous operation reports

What the Data for This Category Looks Like

Railway and highway yield rate data is sourced from publicly available transportation industry statistical datasets and anonymous operation reports aggregated by road network operators. Two update schedules are implemented: hourly sampled operation data for core trunk lines, and aggregated revenue data for all categories from the previous calendar day. Data is structured as tables, including line identifiers, operation types, core operation metrics, and revenue accounting fields. Units are uniformly kilometers, million ton-kilometers, ten thousand yuan, yuan per unit operation volume, and similar units. Percentage-based expressions are not used.

Constraints for Multi-turn Dialogue and Prompt Engineering

Multi-source aggregated data has clearly defined field boundaries. Prompts must strictly limit extracted fields to prevent model confusion of operation metrics across different categories. Mixed T+1 and hourly updated data requires explicit specification of data time granularity during multi-turn dialogue, to avoid cross-cycle confusion. The large number of scattered line identifiers requires retention of line parameters in dialogue context, to avoid repeated queries for basic information. Unified field units for structured documents require explicit unit marking in prompts, to prevent outputs that do not comply with industry specifications.

Configuration Settings

Configuration ItemRecommended ValueRationale
maxContext8000–12000 charactersRailway and highway data has long line identifiers and historical dialogue context. Multi-turn interaction must retain line and time parameters
RECALL_TOP_NTop 6–10 entriesA single railway or highway line has a large number of associated data entries. Sufficient structured data must be retrieved to support multi-turn queries
SIMILARITY_THRESHOLD0.75–0.85Structured data has high requirements for field matching accuracy. Low-match irrelevant data must be filtered out
PARSE_FILE_TIMEOUT_SECONDS300 secondsParsing bulk railway and highway data documents takes a long time. Sufficient parsing time must be reserved
HTTP_RESPONSE_TIMEOUT60 secondsAdapts to interface response delays of external aggregated data sources. Data pulling must not be interrupted by timeouts
TOOL_CALL_MAX_STEPS3–4 stepsMulti-turn dialogue must complete data retrieval, field extraction, and result organization in sequence. Invalid loops must be avoided

The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require targeted analysis. It is recommended to test on your own samples before finalizing settings.

Three Common Mistakes

  • Issue: When using an HTTP request orchestration tool, the configured output field does not appear in dialogue results, on version 4.6.9. Cause: The "synchronize tool output to dialogue context" switch is not enabled, or the prompt does not specify injecting tool return content into the dialogue flow.
  • Issue: During multi-turn dialogue, querying yield rates for different lines multiple times results in cross-line confusion. Cause: Context parameter retention is not enabled in dialogue configuration, or the prompt does not require carrying previous interaction line identifiers with each tool call.
  • Issue: Vector indexing tasks remain in a "pending" state for an extended period, when using the meta/llama-3.1-8b-instruct model. Cause: A dedicated embedding model for vector indexing is not specified, or uploaded railway and highway data documents are not properly split into structured fields, causing indexing progress to block.

How to Verify Proper Configuration

  • Initiate a single-turn test dialogue, enter a yield query for a specified line, and confirm that returned result fields match preset railway and highway data fields.
  • Initiate consecutive multi-turn dialogues, sequentially change the queried line and time range, and confirm that context parameters are correctly retained without confusion.
  • Trigger an HTTP request orchestration tool, and confirm that the tool's returned output content is displayed synchronously in the dialogue interface.
  • Start a vector indexing task, view indexing progress logs, and confirm that structured fields are correctly identified with no parsing errors.

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.