Raja Sekhar Rao Dheekonda
Raja Sekhar Rao Dheekonda
Hi @ClarkKentIsSuperman, thanks for raising the issue. The reason we have an `OllamaChatTarget` but haven't provided example code for interacting with it is that we currently don't have a way...
Your perception is still correct, and one of PyRIT's goals is to allow targets to be updated within the same workflow as needed because all targets implement the same interface....
```Thanks - so to use that scorer I still need Azure based API access to ChatGPT API? so I can set AZURE_OPENAI_GPT4O_CHAT_DEPLOYMENT for the scorer? Or is there a free...
Thanks for the discussion. To test the Ollama instance, you won't need an OpenAI API key. As I mentioned earlier that PyRIT supports various deployment options, including Azure OpenAI, Ollama,...
Excellent, glad it worked out. We used `SelfAskLikertScorer`, which interacts with the target model—in this case, Ollama endpoint. The model was expected to return the score in JSON format because...
Any instruction-tuned models like LLaMA or Mixtral should work. If needed, try a few times, as these models are non-deterministic, and you might eventually get a response in JSON format.
Great work, @KutalVolkan!
Great work, @Siddheshwari19 . Let us know if you have any questions/comments.
Azure SQL support for PyRIT is currently in progress in the [PR ](https://github.com/Azure/PyRIT/pull/379) and is expected to be completed by next week. Please keep an eye on it. In the...
Closing this issue since we have Azure SQL memory support.