> For the complete documentation index, see [llms.txt](https://docs.probe.splx.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.probe.splx.ai/updates/product-updates/october-2024.md). # October 2024 ## New Target Integrations We've expanded our integration options with: * LLM: * Gemini * Bedrock * OpenAI Assistant * LLM Development Platform: * Dify AI ## Default Language Support In addition to English, Probe can now test your target against attacks in the chatbot's default language. With support for over 60 languages, we provide more accurate and localized security assessments. ## Q\&A Probe With Q\&A Probe, you can test your application’s ability to respond correctly to questions you define.\ Probe will reformulate your questions, send them to your target, and check if the response content matches the correct answers you’ve set.\ Upload your question-answer combinations via CSV, provide a chatbot description, and let Probe handle the testing. ## Jira Integration You can now create Jira issues directly from the Probe's result page, with the autogenerated summary of your Probe run included in the issue. This makes it easier for your team to track any vulnerabilities found through automated red teaming. ## Improvements & Tweaks * Upload file option for easier Probe configurations (e.g., for RAG precision). * Extended REST API integration with support for Open and Close Session endpoints. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.probe.splx.ai/updates/product-updates/october-2024.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.