Interface ChatVertexAIInput

Some APIs allow an API key instead

The version of the API functions. Part of the path.

Deprecated

Use callbacks instead

Hostname for the API call (if this is running on GCP)

Region where the LLM is stored (if this is running on GCP)

The maximum number of concurrent calls that can be made. Defaults to Infinity, which means no limit.

Maximum number of tokens to generate in the completion.

The maximum number of retries that can be made for a single call, with an exponential backoff between each attempt. Defaults to 6.

Model to use

Model to use Alias for model

Custom handler to handle failed attempts. Takes the originally thrown error object as input, and should itself throw an error if the input error is not retryable.

What platform to run the service on. If not specified, the class should determine this from other means. Either way, the platform actually used will be in the "platform" getter.

Available for gemini-1.5-pro. The output format of the generated candidate text. Supported MIME types:

• text/plain: Text output.
• application/json: JSON response in the candidates.

Default

"text/plain"
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Whether or not to include usage data, like token counts in the streamed response chunks.

Default

true
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Whether or not to stream.

Default

false
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Sampling temperature to use

Top-k changes how the model selects tokens for output.

A top-k of 1 means the selected token is the most probable among all tokens in the model’s vocabulary (also called greedy decoding), while a top-k of 3 means that the next token is selected from among the 3 most probable tokens (using temperature).

Top-p changes how the model selects tokens for output.

Tokens are selected from most probable to least until the sum of their probabilities equals the top-p value.

For example, if tokens A, B, and C have a probability of .3, .2, and .1 and the top-p value is .5, then the model will select either A or B as the next token (using temperature).