> ## Documentation Index
> Fetch the complete documentation index at: https://releasenotes.siya-ai.com/llms.txt
> Use this file to discover all available pages before exploring further.
# SIYA — Release Notes
*Version: V0.4.100*
# March 2026
## Overview
This release expands how SIYA connects to your tools and files: new Microsoft 365 and class-rules integrations, and a clearer file viewer for XML. Context compaction stays accurate across providers, and security is tightened end to end—with fewer false alarms in guardrails.
***
## Improvements & new features
1. **Microsoft 365** — SharePoint and OneDrive are available as MCP connections so SIYA can work with your Microsoft content where your admins allow it.
2. **Class rules and steadier MCP** — A class-rules MCP server is available, and MCP connection handling is unified so connections behave more consistently across tools.
3. **File viewer** — XML files include a tree view so structure is easy to scan without leaving the viewer.
4. **Context and compaction** — Token counts respect each AI provider’s rules, so automatic context compaction stays accurate as conversations grow.
***
## Bug fixes
1. **Sending messages** — You can no longer send multiple messages at once in a way that cancelled in-flight tasks.
2. **File management** — Tabs in the file management popup respect the current view mode.
3. **MCP stability** — A race condition in MCP client lookup is fixed by using a map instead of a plain list.
4. **Prompts and caching** — Prompt token counts are more accurate, tool order is stable for caching, and prompt caching is refactored with clearer provider checks, shared logic, and Langfuse visibility.
5. **Live actions** — **Jump to live** appears only when you are reviewing past actions, not during live activity.
***
## Security
1. **Secrets in answers** — Production system prompts include defense-in-depth rules so credentials and secrets are less likely to appear in model output.
2. **Sensitive configuration** — Sensitive configuration is not exposed through chat or the REST API in ways users could misuse.
3. **Secret coverage and scanning** — More environment variables are treated as secrets; connection-string redaction is fixed; AWS-style keys are included in credential scanning.
4. **Sanitization** — Deep sanitization handles non-plain objects (for example dates, buffers, and regular expressions) more safely.
5. **Guardrails and MCP** — Guardrails are tuned to reduce false positives, and an MCP prompt-injection issue is fixed.
***
## Support
For questions or issues related to this release, please contact your support team or refer to the project documentation.
3. **MCP stability** — A race condition in MCP client lookup is fixed by using a map instead of a plain list.
4. **Prompts and caching** — Prompt token counts are more accurate, tool order is stable for caching, and prompt caching is refactored with clearer provider checks, shared logic, and Langfuse visibility.
5. **Live actions** — **Jump to live** appears only when you are reviewing past actions, not during live activity.
***
## Security
1. **Secrets in answers** — Production system prompts include defense-in-depth rules so credentials and secrets are less likely to appear in model output.
2. **Sensitive configuration** — Sensitive configuration is not exposed through chat or the REST API in ways users could misuse.
3. **Secret coverage and scanning** — More environment variables are treated as secrets; connection-string redaction is fixed; AWS-style keys are included in credential scanning.
4. **Sanitization** — Deep sanitization handles non-plain objects (for example dates, buffers, and regular expressions) more safely.
5. **Guardrails and MCP** — Guardrails are tuned to reduce false positives, and an MCP prompt-injection issue is fixed.
***
## Support
For questions or issues related to this release, please contact your support team or refer to the project documentation.