Working with Together AI in Pixeltable - Pixeltable Documentation

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Prerequisites

A Together AI account with an API key (https://api.together.ai/settings/api-keys)

Important notes

Together.ai usage may incur costs based on your Together.ai plan.
Be mindful of sensitive data and consider security measures when integrating with external services.

First you’ll need to install required libraries and enter your Together API key.

%pip install -qU pixeltable together

import getpass
import os

if 'TOGETHER_API_KEY' not in os.environ:
    os.environ['TOGETHER_API_KEY'] = getpass.getpass('Together API Key: ')

Now let’s create a Pixeltable directory to hold the tables for our demo.

import pixeltable as pxt

# Remove the 'together_demo' directory and its contents, if it exists
pxt.drop_dir('together_demo', force=True)
pxt.create_dir('together_demo')

Connected to Pixeltable database at: postgresql+psycopg://postgres:@/pixeltable?host=/Users/asiegel/.pixeltable/pgdata
Created directory ‘together_demo’.
<pixeltable.catalog.dir.Dir at 0x168536050>

Chat completions

Create a Table: In Pixeltable, create a table with columns to represent your input data and the columns where you want to store the results from OpenAI.

from pixeltable.functions import together

chat_t = pxt.create_table('together_demo/chat', {'input': pxt.String})

messages = [{'role': 'user', 'content': chat_t.input}]

chat_t.add_computed_column(
    output=together.chat_completions(
        messages=messages,
        model='Qwen/Qwen3.5-9B',
        model_kwargs={
            # Optional dict with parameters for the Together API
            'max_tokens': 300,
            'stop': ['\n'],
            'temperature': 0.7,
            'top_p': 0.9,
        },
    )
)
chat_t.add_computed_column(
    response=chat_t.output.choices[0].message.content
)

Created table ‘chat’.
Added 0 column values with 0 errors in 0.01 s
Added 0 column values with 0 errors in 0.01 s
No rows affected.

# Start a conversation
chat_t.insert(
    [
        {'input': 'How many species of felids have been classified?'},
        {'input': 'Can you make me a coffee?'},
    ]
)
chat_t.select(chat_t.input, chat_t.response).head()

Inserted 2 rows with 0 errors in 1.58 s (1.27 rows/s)

Image generations

image_t = pxt.create_table('together_demo/images', {'input': pxt.String})
image_t.add_computed_column(
    img=together.image_generations(
        image_t.input,
        model='Rundiffusion/Juggernaut-Lightning-Flux',
        model_kwargs={'steps': 5},
    )
)

Created table ‘images’.
Added 0 column values with 0 errors in 0.01 s
No rows affected.

image_t.insert(
    [{'input': 'A friendly dinosaur playing tennis in a cornfield'}]
)

Inserted 1 row with 0 errors in 1.35 s (0.74 rows/s)
1 row inserted.

image_t

image_t.head()

Learn more

To learn more about advanced techniques like RAG operations in Pixeltable, check out the RAG Operations in Pixeltable tutorial.

Last modified on October 9, 2026