v0.2.1

What's Changed

• added user authentication support for AOAI Chat Targets
• request validation in targets
• support for exporting conversations from the memory

Full list of changes

• Updating Release to 0.2.1.dev0 by @rlundeen2 in #181
• FEAT Add User AuthN Support to AOAI Chat Targets by @nina-msft in #182
• MAINT Add Request Validation for All Prompt Targets by @rdheekonda in #184
• FEAT Export Conversation by Orchestrator ID by @nina-msft in #183

Full Changelog: v0.2.0...v0.2.1

v0.2.0

What's Changed

• Multi-modal support: You can now input/output various multi-modal targets.
• XPIA support: Enabling easier second order prompt injection attacks.
• A more robust local (duckDB) database: Allowing querying and inserting previous conversations.

Full list of Changes

• Added a ChatMessageNormalizer that formats messages in the template specified by a Hugging Face tokenizer by @blakebullwinkel in #128
• PromptMemoryEntry Table Added for more Extensible Target Logic by @rlundeen2 in #125
• Added prompt softener prompt converter by @cseifert1 in #132
• Dataset Organization and Adding Public Jailbreaks by @rlundeen2 in #131
• Adding Image Target by @jbolor21 in #118
• Adding more authentication methods, add capital letters converter by @pgrek001 in #139
• Add cross-domain prompt injection orchestrator by @romanlutz in #127
• Added support to target an Ollama endpoint as a prompt chat target by @uskr in #141
• Normalizer multi modal/flexible support refactor by @rlundeen2 in #143
• Adding Identifiers to Memory by @rlundeen2 in #145
• Adding Data Type Normalizer Helpers by @rlundeen2 in #147
• Updating run_jupytext to cache notebooks that previously passed by @rlundeen2 in #148
• Gandalf through level7 by @jorisdg in #152
• Adding Multi-Modal Output Support to Converters by @rlundeen2 in #155
• Adding TTS Target by @rlundeen2 in #161
• Updating Gandalf Target to be more clear by @rlundeen2 in #153
• Support python 3.11 by @romanlutz in #168
• New Converters: Replace Whitespace and Leetspeak by @jbolor21 in #162
• Refactored SelfAskGptClassifier into SelfAskScore class and added Likert scale scoring by @blakebullwinkel in #154
• Fix mypy issues, convert Azure completion class to target, fix AOAI and OAI tests, remove clip embedding class by @romanlutz in #172
• Converter for prompt text to audio by @pgrek001 in #149
• Updating PromptSendingOrchestrator to handle multi-modal by @rlundeen2 in #174
• Generalize XPIA orchestrator by @romanlutz in #163
• Add Several Content Classifiers by @nina-msft in #175
• Add AzureOpenAIGPTVChatTarget to Support MultiModal by @rdheekonda in #160
• Refactoring Dalle Target to support database by @jbolor21 in #156

New Contributors

• @blakebullwinkel made their first contribution in #128
• @cseifert1 made their first contribution in #132
• @libera826 made their first contribution in #133
• @NaijingGuo made their first contribution in #140
• @uskr made their first contribution in #141
• @jorisdg made their first contribution in #144

Full Changelog: v0.1.2...v0.2.0

v0.1.2

What's Changed

Big changes this release include solidifying the orchestrator, converter, target model for attacks, and migrating the local memory storage from a JSON file to a DuckDB instance.

The first two demos have been updated with the new architecture, and two new demos have been added; send all prompts and using prompt converters

Full List of Changes

• FEAT: Adding StringJoinConverter by @rlundeen2 in #70
• DOC: Add release instructions by @romanlutz in #57
• FEAT: Chain Prompt Converters in Normalizer by @rlundeen2 in #73
• FEAT: Adding Support for 1:N PromptConverters by @rlundeen2 in #75
• FEAT: Adding NoOpTarget by @rlundeen2 in #79
• FEAT: Added converter for ascii art by @petebryan in #81
• FEAT: Add rot13 by @pgrek001 in #80
• FEAT: Adding Batch/Async Processing to PromptTargets by @rlundeen2 in #91
• FEAT: add support for chat messages dataset by @dlmgary in #90
• DOC: Release guidelines and PR template update by @romanlutz in #92
• DOC: Adding Docs for ChatMessageNormalizer by @rlundeen2 in #93
• FEAT: Prompt Variation Converter by @jbolor21 in #86
• DOC: Adding Converter Docs and Demos by @rlundeen2 in #100
• MAINT: Add red teaming orchestrators to replace RedTeamingBot by @romanlutz in #84
• FEAT: Making prompt_nop_target into a stream target by @rlundeen2 in #99
• MAINT: Adding orchestrator abstract base class by @rlundeen2 in #102
• FIX: simplify flow in red teaming orchestrator code by @romanlutz in #105
• DOC: use google style docstrings by @romanlutz in #104
• DOC: add short guide on how to handle stale PRs & introduce standardized prefixes by @romanlutz in #101
• FEAT: Language Translation Converter by @rlundeen2 in #106
• FEAT: Add scalable and efficient memory by @rdheekonda in #97
• FEAT: add support for question answering benchmark by @dlmgary in #94
• FEAT: New prompt target: AzureBlobStorageTarget by @nina-msft in #95
• FEAT: Add UTR39 confusability converter by @yonatanzunger in #115
• MAINT: Refactoring AzureOpenAIChat to only be a promptTarget by @rlundeen2 in #114
• FEAT: Add support to OpenAI API to use official or custom endpoints by @friyin in #65
• FEAT: Migrating Azure ML to PromptTarget by @rlundeen2 in #113
• Various bug fixes and smaller documentation updates by the AI Red Team

New Contributors

• @eltociear made their first contribution in #67
• @petebryan made their first contribution in #81
• @pgrek001 made their first contribution in #80
• @yonatanzunger made their first contribution in #115
• @friyin made their first contribution in #65

Full Changelog: v0.1.1...v0.1.2

v0.1.1

What's Changed

The previous release 0.1.0 did not include the datasets used in the example notebooks. Version 0.1.1 addresses this.

Full list of changes

• Cleanup notebook outputs by @rdheekonda in #56
• Fixing bug with pypi package directory by @rlundeen2 in #60
• Add Details to Contributor Guide About Forking/PRs by @nina-msft in #59
• Fix hyperlinks and updated package version by @rdheekonda in #58
• add datasets folder to wheel by @romanlutz (#61)

Full Changelog: https://github.com/Azure/PyRIT/commits/v0.1.1

v0.1.0

What's Changed

This is the first release of PyRIT to PyPI including basic documentation and notebooks.

Full list of changes

• Update notebook dependency due to vulnerabilities by @romanlutz in #26
• Add article in SECURITY.md by @romanlutz in #27
• Remove poetry by @romanlutz in #24
• add NOTICE file by @romanlutz in #28
• Change README content to say "prompt injection attacks" by @romanlutz in #29
• Update Demo Notebook Prerequisites by @rdheekonda in #30
• Update chat client & multiturn notebooks with more information by @romanlutz in #25
• Remove unused definitions from models.py by @romanlutz in #31
• Update pyproject.toml to find packages/modules by @romanlutz in #33
• Prompt Normalizer and Refactor by @rlundeen2 in #32
• Export requirements before component governance is run by @romanlutz in #35
• fixing bug with red_teaming_bot by @rlundeen2 in #34
• Fixing bug with RedTeamingBot attack strategy by @rlundeen2 in #36
• Standardize Endpoints and API Keys for AML Chat by @rlundeen2 in #37
• Added Flag character transformer for invisible prompts. by @ChristBian1 in #38
• Add Jupyter Dependencies + aiohttp to pyproject.toml by @nina-msft in #39
• AML Endpoint Bug Fix and Refactor by @rlundeen2 in #40
• Add jailbreakchat prompt templates and modify the structure of existing prompts by @romanlutz in #42
• Fix link to How to Guide by @romanlutz in #41
• fixing bug where default was set to debug by @rlundeen2 in #44
• build: update versions of pre-commit hooks by @dlmgary in #47
• Integrate Hugging Face Models with Azure ML: Download, Register, Deploy, and Test by @rdheekonda in #43
• Standardizing environment for completions and embeddings by @rlundeen2 in #46
• Adding Chat Message Normalizers so AML can work with more Models by @rlundeen2 in #45
• Improving multi-turn strategy by @rlundeen2 in #48
• Add ipykernel dependency package by @rdheekonda in #50
• Refactoring Docs to use JupyText by @rlundeen2 in #49
• Replace old graphics with new ones by @romanlutz in #53
• Add learn link to README by @romanlutz in #55
• Convert PyRIT Framework How to Guide to jupytext by @nina-msft in #51
• Move wiki contents into doc folder, update references by @romanlutz in #54
• Update HF Azure ML deployment managed compute to allow liveness probe configuration by @rdheekonda in #52

New Contributors

• @ChristBian1 made their first contribution in #38

Full Changelog: https://github.com/Azure/PyRIT/commits/v0.1.0