Release v0.3 Alpha · cdcai/agents

Changes

Removed a lot of the OG classes and framework that I started with, as it wasn't really serving its purpose anymore
Added StoppingConditions as a standard class to trigger when an Agent has finished rather then handle this internally
- This is called at the end of every step to determine whether the Agent should terminate or not, and handles answer extraction
Added Callbacks as a option to handle triggering additional functions at the end of the run with the answer and scratchpad of the calling agent
A lot of work making abstract classes and getting typing all correct
Added response_model_handler decorator to handle Pydantic BaseModel validation
- Either returns validated BaseModel, or string to pass back to Agent indicating error
New StructuredOutputAgent, which is basically just providing what PredictionAgent does, but assumes you can construct the response object before runtime.
- Might end up getting rid of the prediction bits as a result
BatchProcessor Changes
- BatchProcessor now handles the batch object as a kwarg to be inserted into fstring rather than passing as first arg to Agent
- You should now include "{batch}" in BASE_PROMPT attribute where these data should be inserted
- Added additional _batch_format method, which supplies logic to convert batch into string (useful in the DataFrame case)

Full Changelog: v0.2...v0.3-alpha