v0.14.0

What's Changed

This release enhances support for advanced reasoning models, including the NVIDIA Nemotron family such as Llama 3.1 Nemotron Ultra 253B V1 and DeepSeek-r1. We have added new protections against certain code-injection security concerns, with an output guardrail based on YARA, a widely-adopted technology in the cybersecurity space for malware detection.

From the community, a new 3rd-party guardrail connects to Clavata’s customized LLM content moderation.
Among other improvements and bug fixes, this release also now supports Python 3.13.

🚀 Features

• Change topic following prompt to allow chitchat (#1097)
• Validate model name configuration (#1084)
• Add support for langchain partner and community chat models (#1085)
• Add fuzzy find provider capability to cli (#1088)
• Add code injection detection to guardrails library (#1091)
• Add clavata community integration (#1027)
• Implement validation to forbid dialog rails with reasoning traces (#1137)
• Load yara lazily to avoid action dispatcher error (#1162)
• Add support for system messages to RunnableRails (#1106)
• Add api_key_env_var to Model, pass in kwargs to langchain initializer (#1142)
• Add inline YARA rules support (#1164)
• [breaking] Add support for preserving and optionally applying guardrails to reasoning traces (#1145)
• Prevent reasoning traces from contaminating LLM prompt history (#1169)
• Add RailException support to injection detection and improve error handling (#1178)
• Add Nemotron model support with message-based prompts (#1199)

🐛 Bug Fixes

• Correct task name for self_check_facts (#1040)
• Error in LLMRails with tracing enabled (#1103)
• Self check output colang 1 flow (#1126)
• Use ValueError in TaskPrompt to resolve TypeError raised by Pydantic (#1132)
• Correct dialog rails activation logic (#1161)
• Allow reasoning traces when embeddings_only is True (#1170)
• Prevent explain_info overwrite during stream_async (#1194)
• Colang 2 issues in community integrations (#1140)
• Ensure proper asyncio task cleanup in test_streaming_handler.py (#1182)

🚜 Refactor

• Reorganize HuggingFace provider structure (#1083)
• Remove support for deprecated nemollm engine (#1076)
• [breaking] Remove deprecated return_context argument (#1147)
• Rename remove_thinking_traces field to remove_reasoning_traces (#1176)
• Update deprecated field handling for remove_thinking_traces (#1196)
• Introduce END_OF_STREAM sentinel and update handling (#1185)

📚 Documentation

• Remove markup from code block (#1081)
• Replace img tag with Markdown images (#1087)
• Remove NeMo Service (nemollm) documentation (#1077)
• Update cleanlab integration description (#1080)
• Add providers fuzzy search cli command (#1089)
• Clarify purpose of model parameters field in configuration guide (#1181)
• Output rails are supported with streaming (#1007)
• Add mention of Nemotron (#1200)
• Fix output rail doc (#1159)
• Revise GS example in getting started doc (#1146)
• Possible update to injection detection (#1144)

⚙️ Miscellaneous Tasks

• Dynamically set version using importlib.metadata (#1072)
• Add link to topic control config and prompts (#1098)
• Reorganize GitHub workflows for better test coverage (#1079)
• Add summary jobs for workflow branch protection (#1120)
• Add Adobe Analytics configuration (#1138)
• Fix and revert poetry lock to its stable state (#1133)
• Add Codecov integration to workflows (#1143)
• Add Python 3.12 and 3.13 test jobs to gitlab workflow (#1171)
• Identify OS packages to install in contribution guide(#1136)
• Remove Got It AI from ToC in 3rd party docs(#1213)

New Contributors

• @thisthat made their first contribution in #1103
• @jwmueller made their first contribution in #1080
• @ilias-t made their first contribution in #1027
• @smruthi33 made their first contribution in #1106
• @andompesta made their first contribution in #1194

Full Changelog: v0.13.0...v0.14.0