Security fixes are applied to the latest version on the default branch.
Please report vulnerabilities privately and do not open public issues for active security problems.
Contact:
anton@kay.ai
When possible, include:
- Affected component and version/commit
- Reproduction steps or proof of concept
- Impact assessment
- Suggested mitigation (if available)
We will acknowledge receipt and triage as quickly as possible.
After a fix is available, we may publish a summary describing impact and remediation guidance.
Source documents are included in model prompts and must be treated as untrusted input. Prompt-injection text can influence both count estimates and extracted values. Count anomaly fallbacks reduce obvious failure modes but cannot detect all plausible under-counts or fabricated output.
For adversarial inputs, use task-specific validation and an independent coverage check, keep model credentials scoped, leave tracing disabled unless appropriate, and do not execute or directly trust extracted content.