What the data for this category looks like
Pharmaceutical distribution documents and materials mainly include purchase and sales contracts, warehouse acceptance receipts, outbound review records, GSP compliance ledgers, cold chain transportation records, and invoice vouchers. Data comes from internal enterprise ERP and WMS business systems, as well as standard templates published by drug regulatory authorities. The data updates in real time alongside daily business operations, and compliance-related documents are archived quarterly. Document structures are fixed, with fields including supplier/requirer qualification information, generic drug name, specification, batch number, expiration date, quantity, unit price, and total amount. Available units include box, case, vial, piece, and yuan.
What constraints these characteristics impose on the multi-turn dialogue and prompt engineering link
Pharmaceutical distribution documents have many fixed fields and must meet drug regulatory compliance requirements. Multi-turn dialogue must fully retain business fields within context using the messages parameter, to avoid missing key compliance information such as batch number and expiration date. Real-time updated business data requires dialogues to automatically pull in the latest parameters without repeated input. Scenario differences across document types (such as purchase and sales vs. acceptance) need clear differentiation to avoid mixing up field requirements for different documents. Fixed typesetting rules for compliance documents also strictly constrain output format, and non-standard typesetting must not be used arbitrarily.
How to set configurations
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale for This Setting |
|---|---|---|
| Maximum context length | 8000–12000 characters | Pharmaceutical distribution documents contain multiple sets of business fields, and need to retain complete context for multi-turn dialogues |
| Question optimization | Enabled | Automatically merge business requests from multi-turn dialogues, reduce repeated input, and adapt to drafting complex compliance documents |
variables | Bind business fields such as drug batch number and expiration date | Automatically pull in confirmed business parameters to avoid repeated entry of key information |
| Output format constraints | Disable Markdown syntax, use plain text paragraphs | Match fixed typesetting requirements for pharmaceutical distribution regulatory documents |
| Single recall limit | Top 3 business documents | Focus on core compliance fields to avoid redundant information interfering with document drafting |
chatId | Enable independent session identifier | Assign a unique identifier to each dialogue session to prevent cross-use of context across multiple users |
| Session timeout period | 600 seconds | Avoid long dialogues timing out and interrupting, and adapt to the drafting duration of complex pharmaceutical distribution documents |
Three common mistakes
- Phenomenon: The AI returns documents with Markdown-formatted headings or lists, which do not meet compliance document typesetting requirements. Cause: The constraint to disable Markdown syntax is not clearly specified in the prompt, leading to output that does not meet fixed requirements for pharmaceutical distribution documents.
- Phenomenon: Multi-turn dialogue repeatedly asks for confirmed drug batch numbers or purchase and sales amounts. Cause: Question optimization is not enabled, or the
variablesparameter is not bound, so context is not effectively retained. - Phenomenon: Context from two independent dialogue sessions interferes with each other, leading to cross-user business field confusion. Cause: The
chatIdparameter is not configured correctly, and no unique identifier is assigned to each session, leading to cross-use of context.
How to confirm configurations are properly set
- Launch a multi-turn dialogue that includes drug batch numbers and purchase and sales amounts. Check that the returned document does not use Markdown format, to confirm the output format constraint takes effect.
- Mention confirmed business fields repeatedly. Check that the AI automatically uses these fields without repeated inquiries, to confirm the
variablesbinding and question optimization configurations take effect. - Launch two independent dialogue sessions. Check that the contexts of the two sessions do not interfere with each other, to confirm the
chatIdconfiguration takes effect. - Submit a compliance document drafting request that includes multiple sets of business fields. Check that the returned content covers all required fields, to confirm the maximum context length configuration is reasonable.
The values provided here are common starting points and should be measured against the reader's own samples.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-28.