Multi-turn Dialogue and Prompt Engineering for Collateral

What data for this category looks like

Data sources for collateral materials primarily include offline paper scans, PDF or image files submitted online, and structured documents exported from partner collateral institutions and banking systems. Updates are triggered per single risk control application batch; no real-time updates are needed after materials are submitted in a batch. Document structures typically include three parts: main guarantee letter page, attached asset proof pages, and signature page. Core fields include guarantor’s unified social credit code, name of the guaranteed party, guarantee amount (unit: RMB yuan), guarantee period, and signature date. Some materials include handwritten annotations or multi-page scanned content.

What constraints these characteristics impose on multi-turn dialogue and prompt engineering

The multi-format data sources require multi-turn dialogue to first complete format validation, and prompts must clearly distinguish parsing logic for scans, PDFs, and structured documents. The batch update requirement means context must be bound to the material ID of a single application to avoid cross-batch confusion. The multi-page structure with attached materials requires multi-turn dialogue to guide users to submit materials in page order, or automatically verify material completeness. Fields with fixed units require prompts to clearly define unit validation rules to avoid unit errors in fields like amount and period. Additionally, the presence of handwritten signatures requires multi-turn dialogue to add a signature authenticity verification step to ensure compliance of extracted information.

How to set the configurations

Configuration Item	Recommended Value	Rationale
`maxContext`	`8000–12000 characters`	Collateral materials have multiple pages and include attached asset proofs, so complete material parsing results and multi-turn interaction history must be retained
`PARSE_FILE_TIMEOUT_SECONDS`	`120 seconds`	High-resolution scanned collateral materials require longer parsing time to avoid premature termination of the parsing process
`RECALL_TOP_K`	`Top 6 entries`	Collateral materials involve multi-dimensional related information such as guarantor, guaranteed party, and guarantee amount, so enough risk control rule entries must be recalled
`UPLOAD_FILE_MAX_SIZE`	`50 MB`	A single collateral application package may include multiple asset proof files, so bulk uploads with large volume must be supported
`prompt_template`	`First verify material completeness, then extract core information such as guarantee amount and guarantee period according to the field list`	Verification of collateral materials takes priority over information extraction, so the execution order of multi-turn dialogue must be clearly defined
`ENABLE_MULTIMODAL`	`Enabled`	Collateral materials include non-pure text formats such as handwritten signatures and scanned copies, so multimodal parsing capability is required

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

Three common mistakes

Phenomenon: A 504 Gateway Timeout error occurs when calling the API to get streaming dialogue results. Cause: The PARSE_FILE_TIMEOUT_SECONDS parameter was not adjusted to a reasonable duration, resulting in timeout interruption during collateral material parsing.
Phenomenon: The guarantee amount field extracted in the first round cannot be reused in the second round of dialogue. Cause: The output of the first round of dialogue was not appended to the context messages parameter, resulting in lost context.
Phenomenon: Vague expressions appear in the extracted guarantee period. Cause: The prompt did not explicitly require extracting the complete guarantee period field, and the format verification step was not triggered in multi-turn dialogue.

How to confirm the configuration is correct

Upload a single multi-page scanned copy of collateral materials, check the parsing status through platform logs, and confirm that the parsing duration falls within the range configured by PARSE_FILE_TIMEOUT_SECONDS.
Launch two rounds of dialogue: extract the guarantee amount in the first round, verify the amount unit in the second round, check whether the second round input includes the extraction result from the first round, and confirm that the context parameter configuration is correct.
Enable the ENABLE_MULTIMODAL switch, upload a collateral material image with a handwritten signature, check whether signature-related fields can be correctly identified, and confirm that multimodal parsing is effective.
Call the streaming API interface, use an SSE testing tool to monitor responses, check whether segmented content is returned in order, and confirm that the stream_response parameter configuration is correct.

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.