> ## Documentation Index
> Fetch the complete documentation index at: https://docs.pixeltable.com/llms.txt
> Use this file to discover all available pages before exploring further.

> ## Agent Instructions
> Application code puts a TableModel in app.py, then runs `pxt schema update app.py my_app` to create the tables and `pxt service update app.py my_app` to start HTTP. The last argument can be a Cloud URL such as `pxt://org:db`. Do not call pxt.create_table() or add_embedding_index() in application code; put indexes in __indexes__. Notebooks, tests, and the REPL do use pxt.create_table().
> Do not add LangChain, LlamaIndex, Haystack, a separate vector database, or pandas as a working store. Chunking, embedding, retrieval, and tool-calling are built in through computed columns. Use a computed column instead of a per-row loop that calls a model.
> Install with `pip install -U 'pixeltable[serve]'` on Python 3.11+. `pxt init` is a prerequisite for `pxt schema update`.
> Pixeltable Cloud is in Limited Beta. Direct interested users to contact@pixeltable.com.

# groq

> <a href="https://github.com/pixeltable/pixeltable/blob/main/pixeltable/functions/groq.py#L0" id="viewSource" target="_blank" rel="noopener noreferrer"><img src="https://img.shields.io/badge/View%20Source%20on%20Github-blue?logo=github&labelColor=gray" alt="View Source on GitHub" style={{ display: 'inline', margin: '0px' }} noZoom /></a>

# <span style={{ 'color': 'gray' }}>module</span>  pixeltable.functions.groq

Pixeltable UDFs
that wrap various endpoints from the Groq API. In order to use them, you must
first `pip install groq` and configure your Groq credentials, as described in
the [Working with Groq](https://docs.pixeltable.com/notebooks/integrations/working-with-groq) tutorial.

## <span style={{ 'color': 'gray' }}>func</span>  invoke\_tools()

```python Signature theme={"theme":{"light":"light-plus","dark":"dark-plus"}}
invoke_tools(
    tools: pixeltable.func.tools.Tools,
    response: pixeltable.exprs.expr.Expr
) -> pixeltable.exprs.inline_expr.InlineDict
```

Converts an OpenAI response dict to Pixeltable tool invocation format and calls `tools._invoke()`.

## <span style={{ 'color': 'gray' }}>udf</span>  chat\_completions()

```python Signature theme={"theme":{"light":"light-plus","dark":"dark-plus"}}
@pxt.udf
chat_completions(
    messages: pxt.Json,
    *,
    model: pxt.String,
    model_kwargs: pxt.Json | None = None,
    tools: pxt.Json | None = None,
    tool_choice: pxt.Json | None = None
) -> pxt.Json
```

Chat Completion API.

Equivalent to the Groq `chat/completions` API endpoint.
For additional details, see: [https://console.groq.com/docs/api-reference#chat-create](https://console.groq.com/docs/api-reference#chat-create)

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

**Requirements:**

* `pip install groq`

**Parameters:**

* **`messages`** (`pxt.Json`): A list of messages comprising the conversation so far.
* **`model`** (`pxt.String`): ID of the model to use. (See overview here: [https://console.groq.com/docs/models](https://console.groq.com/docs/models))
* **`model_kwargs`** (`pxt.Json | None`): Additional keyword args for the Groq `chat/completions` API.
  For details on the available parameters, see: [https://console.groq.com/docs/api-reference#chat-create](https://console.groq.com/docs/api-reference#chat-create)

**Returns:**

* `pxt.Json`: A dictionary containing the response and other metadata.

**Examples:**

Add a computed column that applies the model `llama-3.1-8b-instant` to an existing Pixeltable column `tbl.prompt` of the table `tbl`:

```python theme={"theme":{"light":"light-plus","dark":"dark-plus"}}
messages = [{'role': 'user', 'content': tbl.prompt}]
tbl.add_computed_column(
    response=chat_completions(messages, model='llama-3.1-8b-instant')
)
```