yunfengzhou-hub opened a new pull request, #27155:
URL: https://github.com/apache/flink/pull/27155
## What is the purpose of the change
This PR proposes to pass several OpenAI API parameters through model
function parameter, in order to better support controlling the randomness and
format of Chat Model Function.
## Brief change log
The following parameters are proposed to be passed
- presence-penalty: Number between -2.0 and 2.0. Positive values penalize
new tokens based on whether they appear in the text so far, increasing the
model's likelihood to talk about new topics.
- n: How many chat completion choices to generate for each input message.
- seed: the random seed to generate results
- response-format: The format of the response, e.g., 'text' or 'json_object'.
## Verifying this change
Unit tests are added to OpenAIChatModelTest to verify the newly introduced
parameters.
## Does this pull request potentially affect one of the following parts:
- Dependencies (does it add or upgrade a dependency): yes
- The public API, i.e., is any changed class annotated with
`@Public(Evolving)`: no
- The serializers: no
- The runtime per-record code paths (performance sensitive): yes
- Anything that affects deployment or recovery: JobManager (and its
components), Checkpointing, Kubernetes/Yarn, ZooKeeper: no
- The S3 file system connector: no
## Documentation
- Does this pull request introduce a new feature? yes
- If yes, how is the feature documented? docs
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