What the data for this category looks like
Marketing content data for telecommunications services in the financial sector mainly comes from institutional customer service interaction logs, online service hall consultation dialogues, marketing SMS receipt records, and offline service station ledgers. Data updates occur in real time or near real time; user inquiries and activity feedback are synchronized immediately. The document structure includes fields such as dialogue turns, user requests, solutions, outreach channels, timestamps, and user identification. Field units are mostly integers (turns, counts), ISO format timestamps, and Chinese character counts.
What constraints these characteristics impose on the "multi-turn dialogue and prompt engineering" link
Dialogue data from multiple channels requires integrating cross-channel interaction records to avoid inconsistent responses across turns. In financial scenarios specifically, user account information must be strictly matched. Real-time updated marketing activity data requires prompts to dynamically load the latest activity rules. Static fixed prompt templates cannot be used, to avoid misleading users due to expired activities. Structured fields require accurate filtering of irrelevant fields during multi-turn dialogue to reduce invalid token consumption, while ensuring key information such as outreach channel, time, and account type is correctly included in the prompt. Long document content requires the context window to cover the complete history of multi-turn interactions, to avoid loss of critical business information due to insufficient window size.
How to set the configurations
| Configuration Item | Recommended Range | Rationale |
|---|---|---|
maxContext | 8000-12000 token | Multi-turn dialogues for financial telecommunications services typically include 3-5 turns of interaction, paired with historical marketing records and user account information. A sufficiently large context window is needed to cover all complete information |
recall_count | 5-8 entries | The marketing knowledge base for financial telecommunications services is stored classified by channel, activity, and user segment. A sufficient number of recalled entries is required to cover response requirements for different scenarios |
similarity_threshold | 0.75-0.85 | Filter low-relevance marketing content, avoid responses deviating from user requests due to recalled irrelevant tariff or activity rules, and comply with compliance requirements for financial scenarios |
chunk_size | 800-1200 characters | Marketing documents for financial telecommunications services are mostly long texts such as activity rules, tariff descriptions, and compliance reminders. Segmentation preserves complete semantics, making it easier for the model to understand |
max_input_tokens | 1500-2000 characters | User input inquiries often include detailed business questions and account information. Excessively long input will exceed the model's default input limits |
prompt_prefix | Fixed template including outreach channel, historical dialogue, current request, and user account type | Adapt to multi-channel financial marketing scenarios, ensuring that key compliance and business information is included in the prompt |
The parameter values provided on this page are conventional recommendations used as a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing the configuration.
Three common mistakes
- Phenomenon: After uploading marketing materials in JSON format, a prompt about character limit exceeded appears, and the error field contains
input_too_long. Cause: Themax_input_tokensparameter was not adjusted. Marketing content for financial telecommunications services often includes structured tariff, activity parameters, and compliance clauses; default parameters cannot cover the complete input length. - Phenomenon: Previewed dialogue works normally, but a
500 Internal Server Errorappears during official dialogue. Cause: Therecall_countparameter is set too high in the production environment. The knowledge base for financial telecommunications services has a large number of entries, exceeding the model's concurrent recall limit. - Phenomenon: Subsequent multi-turn dialogue cannot continue the previous marketing response, and context is lost. Cause: The
keep_historyparameter was not enabled. User inquiries for financial telecommunications services often require retrospective access to historical marketing activities and account information; lost context will lead to inconsistent responses.
How to confirm the configuration is set correctly
- Upload test marketing documents for financial telecommunications services, check the knowledge base parsing log to confirm that the document was segmented correctly, and that the segment length matches the configured
chunk_sizeparameter. - Initiate multi-turn simulated dialogues covering marketing scenarios across different outreach channels, check the dialogue history panel to confirm that the context is correctly loaded and included in the prompt.
- Adjust the
similarity_thresholdparameter, compare recall results across different thresholds via previewed dialogues, to confirm that the recalled marketing content meets business and compliance requirements. - Simulate input that exceeds the character limit, check whether the
max_input_tokenslimit error is triggered, to confirm that the parameter adjustment has taken effect.
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.