What the data for this category looks like
Ordnance equipment investment research data primarily comes from public annual reports of military industrial groups, weapon equipment type approval bulletins, industry updates released by the National Defense Science, Technology and Industry Administration, special statistical materials from military industry associations, and public equipment procurement bidding announcements.
In terms of update rhythm, type approval bulletins are released irregularly alongside project progress, annual reports are updated quarterly and annually, and industry updates are updated daily.
Document structures are mostly long-text reports and structured tables, containing fields such as equipment codes, technical parameters, production batches, unit output, etc. Units are mostly military-specific units such as sets, units, ten thousand rounds.
What constraints these characteristics impose on the context and token link
The long-text reports and multi-field structured features of ordnance equipment investment research data directly increase the token usage per document, which squeezes the global context window.
The differing update rhythms of irregularly released type approval bulletins and quarterly annual reports require context recall to distinguish data timeliness, preventing outdated data from occupying excessive token resources.
The need to fully transmit special equipment codes and technical parameters requires the context truncation logic to retain key fields, preventing loss of parameter information that would impact investment research judgments.
How to set the configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
maxContext | 8000–16000 token | Ordnance equipment long documents have high token usage per piece; reserving sufficient space can accommodate multiple recalled documents and historical conversations |
chunkSize | 1200–1800 characters | Most ordnance equipment technical parameter paragraphs are 800-1500 characters long; segmenting can fully retain a single set of parameter information |
recallTopK | Top 3–5 entries | Investment research requires associating multiple bulletins or comparing parameters; excessive recall will exceed the context token limit |
UPLOAD_FILE_MAX_TOKEN | 12000 token | The token count of a single public ordnance equipment report usually does not exceed 10000, preventing a single file from occupying too much context space |
AIPROXY_API_ENDPOINT | Corresponding deployed proxy service address | Used to forward token requests, ensuring normal transmission of context data |
AIPROXY_API_TOKEN | Authentication key matching the proxy service | Completes identity verification for the proxy service, ensuring the security of the token transmission link |
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 case-by-case analysis. It is recommended to test against your own samples before finalizing.
Three common misconfigurations
- Symptom: The interface prompts "context token limit exceeded" or the conversation returns "content too long to process". Cause: The
maxContextparameter was not adjusted based on the long-document characteristics of ordnance equipment, resulting in per-round conversation token usage exceeding the set value. - Symptom: Recalled equipment parameter data cannot be obtained in global variables, and fields are empty. Cause: The
chunkSizesetting is too short, truncating key information such as equipment models and technical parameters, leading to incomplete recalled data. - Symptom: A
401 Unauthorizedor connection timeout error is returned after starting the service. Cause: TheAIPROXY_API_ENDPOINTaddress was entered incorrectly, or theAIPROXY_API_TOKENauthentication key does not match, preventing normal forwarding of token requests.
How to confirm the configuration is correct
- Upload a public ordnance equipment research report, check the segmented preview returned by the system, and confirm that key technical parameters are not truncated.
- Initiate a query involving multiple equipment bulletins, and verify that the number of context data entries loaded in global variables matches the
recallTopKsetting. - Start the proxy service, call the test interface to confirm that the
AIPROXY_API_ENDPOINTandAIPROXY_API_TOKENconfigurations can normally forward requests. - Check system logs to confirm there are no error messages such as "token limit exceeded" or "field missing".
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.