Skip to content

fireworks

pixeltable.functions.fireworks

Pixeltable UDFs that wrap various endpoints from the Fireworks AI API. In order to use them, you must first pip install fireworks-ai and configure your Fireworks AI credentials, as described in the Working with Fireworks tutorial.

chat_completions async 

chat_completions(
    messages: Json, *, model: String, model_kwargs: Json | None = None
) -> Json

Creates a model response for the given chat conversation.

Equivalent to the Fireworks AI chat/completions API endpoint. For additional details, see: https://docs.fireworks.ai/api-reference/post-chatcompletions

Request throttling: Applies the rate limit set in the config (section fireworks, key rate_limit). If no rate limit is configured, uses a default of 600 RPM.

Requirements:

  • pip install fireworks-ai

Parameters:

  • messages (Json) –

    A list of messages comprising the conversation so far.

  • model (String) –

    The name of the model to use.

  • model_kwargs (Json | None, default: None ) –

    Additional keyword args for the Fireworks chat_completions API. For details on the available parameters, see: https://docs.fireworks.ai/api-reference/post-chatcompletions

Returns:

  • Json –

    A dictionary containing the response and other metadata.

Examples:

Add a computed column that applies the model accounts/fireworks/models/mixtral-8x22b-instruct to an existing Pixeltable column tbl.prompt of the table tbl:

>>> messages = [{'role': 'user', 'content': tbl.prompt}]
... tbl.add_computed_column(
...     response=chat_completions(messages, model='accounts/fireworks/models/mixtral-8x22b-instruct')
... )