Release/2.6.0 #1184
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Release/2.6.0 #1184
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…curity-issues chore: update certifi, idna, zipp versions and add extras in poetry.lock
… bias detection logic
…response structure
…ove, and false questions - idea implemented
…ate CHAT_MODEL_CLASSES structure
…and improve output schema integration
… 'ollama' hub with JSON schema method
…mentation-due-to-openai fix(bug): update model handling in OpenAI and AzureOpenAI configurations
…ntation for Ollama API
…-deepseek Feature/add integration to deepseek
…-tests-for-robust-model-evaluation Feature/implement med halt tests for robust model evaluation
…tion-supports-the-ollama-provider feat: add support for generating templates using Ollama provider
…ting-bug-fixes-in-260-rc-version fixes: resolving the bugs 2_6_0rc versions
…ting-bug-fixes-in-260-rc-version fix: better handling of extra model params in Harness
Prikshit7766
approved these changes
Mar 10, 2025
chore: update version to 2.6.0
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📢 Highlights
We are excited to introduce the latest langtest release, bringing you a suite of improvements designed to streamline model evaluation and enhance overall performance:
🛠 De-biasing Data Augmentation:
We’ve integrated de-biasing techniques into our data augmentation process, ensuring more equitable and representative model assessments.
🔄 Evaluation with Structured Outputs:
LangTest now supports structured output APIs for both OpenAI and Ollama, offering greater flexibility and precision when processing model responses.
🏥 Confidence Testing with Med Halt Tests:
Introducing med halt tests for confidence evaluation, enabling more robust insights into your LLMs’ reliability under diverse conditions.
📖 Expanded Task Support for JSL LLM Models:
QA and Summarization tasks are now fully supported for JSL LLM models, enhancing their capabilities for real-world applications.
🔒Security Enhancements:
Critical vulnerabilities and security issues have been addressed, reinforcing the LangTest overall stability and safety.
🐛 Resolved Bugs:
We’ve fixed issues with templatic augmentation to ensure consistent, accurate, and reliable outputs across your workflows.