What data looks like for this category
Energy storage industry research reports draw data from power equipment research bodies, grid operating entities, and energy storage project implementation sites. Update schedules adjust based on industry trends; special report updates trigger when core policies are released or installed capacity data is disclosed. Document structures include three core content types: policy interpretations, project parameter tables, and cost calculation models. Fields cover energy storage system rated power, cycle life, unit cost, grid connection duration, and more. Most units use kW, MWh, and yuan per kilowatt-hour; some overseas reports mix imperial units.
What constraints these characteristics impose on multi-turn dialogue and prompting
Dispersed data sources lead to inconsistent field naming across different institutions. Multi-turn dialogue must unify field references within historical interactions to avoid confusion. The high-frequency update characteristic requires multi-turn dialogue recall logic to refresh regularly; prompts must include priority cues for the latest data. Long documents and complex table structures require splitting recall blocks while retaining complete indicator units, preventing context breaks during multi-turn dialogue. Mixed unit usage requires prompts to explicitly define unified conversion rules, avoiding inconsistent unit conclusions across multi-turn interactions.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Individual energy storage research reports are lengthy; multi-turn dialogue needs sufficient historical interaction and recall content to avoid context overflow |
recall_top_k | Top 6–10 entries | Energy storage research reports cover three segmented dimensions: policy, cost, projects; enough relevant documents must be recalled while filtering redundant content |
chunk_size | 800–1200 characters | Energy storage research reports contain numerous tables and parameter blocks; splitting them this way retains complete indicator units and prevents context breaks |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Project attachments and calculation models included in energy storage research reports take longer to parse; the timeout threshold must be extended |
dynamic_prompt_source | Associated dedicated energy storage research report knowledge base | Dynamically loads prompt templates tailored for energy storage scenarios to adapt to different segmented query needs |
The parameter values provided on this page are common starting points for configuration setup. Actual values are affected by material format, data volume, and business rules. Specific issues require targeted analysis; testing against local samples is recommended before finalizing settings.
Three common mistakes
- Phenomenon: Tool call returns energy storage project data that does not appear in the chat window. The data is visible after reloading the page, but no tool call indicator is present. Cause: The
tool_call_displayparameter is not set toinline, so tool results are not attached to the current conversation context. - Phenomenon: Attempting to dynamically load prompt templates stored in the knowledge base results in the templates not taking effect. Cause: The knowledge base associated with the prompt templates is not linked to the
dynamic_prompt_sourceconfiguration item of the current application, or the templates are not marked as callable prompts. - Phenomenon: The iframe-embedded chat interface displays English text. Cause: The
lang=zh-CNquery parameter is not added to the iframe's src parameter; the interface loads English localized resources by default.
How to confirm configurations are correct
- A multi-turn query about energy storage unit cost can be initiated. Check if the previous round’s query and response content are retained in the conversation history to confirm the context configuration is active.
- Upload an energy storage research report document, then initiate a query to extract rated power. Check if the number of recalled documents matches the configured expectation to confirm the recall parameters are active.
- Configure the iframe embedding code and access the embedded page. Check if the interface language is Chinese to confirm the iframe parameter configuration is correct.
- Check the URL parameters of the chat page. Confirm that fields such as
conversationIdcan be extracted normally to confirm the conversation interface configuration is correct. - View the application's runtime logs. Confirm that the
tool_resultfield is not empty and that tool call results have been synchronized to the conversation context.
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.