interface ChatGroqInputThe Groq API key to use for requests.
Override the default base URL for the API
Default headers included with every request
Default query parameters included with every request
Whether to disable streaming.
If streaming is bypassed, then stream() will defer to
invoke().
Custom fetch function implementation
Penalizes repeated tokens according to frequency
HTTP agent used to manage connections
Dictionary used to adjust the probability of specific tokens being generated
Whether to return log probabilities of the output tokens or not. If true, returns the log probabilities of each output token returned in the content of message.
The maximum number of concurrent calls that can be made.
Defaults to Infinity, which means no limit.
The maximum number of retries that can be made for a single call, with an exponential backoff between each attempt. Defaults to 6.
The maximum number of tokens that the model can process in a single response. This limits ensures computational efficiency and resource management.
The name of the model to use.
Number of completions to generate for each prompt
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.
Version of AIMessage output format to store in message content.
AIMessage.contentBlocks will lazily parse the contents of content into a
standard format. This flag can be used to additionally store the standard format
as the message content, e.g., for serialization purposes.
.contentBlocks).contentBlocks)You can also set LC_OUTPUT_VERSION as an environment variable to "v1" to
enable this by default.
Penalizes repeated tokens
Up to 4 sequences where the API will stop generating further tokens. The
returned text will not contain the stop sequence.
Alias for stopSequences
Up to 4 sequences where the API will stop generating further tokens. The returned text will not contain the stop sequence.
Whether or not to stream responses.
Whether or not to include token usage data in streamed chunks.
The temperature to use for sampling.
The maximum amount of time (in milliseconds) the client will wait for a response
An integer between 0 and 5 specifying the number of most likely tokens to return at each token position, each with an associated log probability. logprobs must be set to true if this parameter is used.
Total probability mass of tokens to consider at each step
Unique string identifier representing your end-user, which can help OpenAI to monitor and detect abuse.