Together AI

Documentation Index

Fetch the complete documentation index at: https://arize-ax.mintlify.dev/docs/llms.txt

Use this file to discover all available pages before exploring further.

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Prerequisites

• Python 3.9+
• An Arize AX account (sign up)
• A TOGETHER_API_KEY from the Together AI console

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Launch Arize AX

1. Sign in to your Arize AX account.
2. From Space Settings, copy your Space ID and API Key. You will set them as ARIZE_SPACE_ID and ARIZE_API_KEY below.

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Install

pip install arize-otel openinference-instrumentation-openai openai

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Configure credentials

export ARIZE_SPACE_ID="<your-space-id>"
export ARIZE_API_KEY="<your-api-key>"
export ARIZE_PROJECT_NAME="together-ai-tracing-example"
export TOGETHER_API_KEY="<your-together-api-key>"

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Setup tracing

# instrumentation.py
import os

from arize.otel import register
from openinference.instrumentation.openai import OpenAIInstrumentor

tracer_provider = register(
    space_id=os.environ["ARIZE_SPACE_ID"],
    api_key=os.environ["ARIZE_API_KEY"],
    project_name=os.environ["ARIZE_PROJECT_NAME"],
)

OpenAIInstrumentor().instrument(tracer_provider=tracer_provider)
print("Arize AX tracing initialized for Together AI.")

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Run Together AI

# example.py

# Importing instrumentation first ensures tracing is set up
# before `openai` is imported.
from instrumentation import tracer_provider

import os

from openai import OpenAI

# Together AI exposes an OpenAI-compatible endpoint. Point the OpenAI
# client at it and authenticate with TOGETHER_API_KEY.
client = OpenAI(
    api_key=os.environ["TOGETHER_API_KEY"],
    base_url="https://api.together.xyz/v1",
)

response = client.chat.completions.create(
    model="meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo",
    messages=[
        {
            "role": "user",
            "content": "Why is the ocean salty? Answer in two sentences.",
        }
    ],
)

print(response.choices[0].message.content)

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Expected output

Arize AX tracing initialized for Together AI.
The ocean is salty because rivers continuously dissolve mineral salts from rocks and soil and carry them to the sea, where they accumulate over millions of years. Water leaves the ocean through evaporation but the salts remain, steadily concentrating until reaching today's roughly 3.5% salinity.

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Verify in Arize AX

1. Open your Arize AX space and select project together-ai-tracing-example.
2. You should see a new trace within ~30 seconds containing a ChatCompletion LLM span with the prompt, response, and token usage attached. The span’s llm.model_name reflects the Together-hosted model (e.g. meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo).
3. If no traces appear, see Troubleshooting.

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Troubleshooting

• No traces in Arize AX. Confirm ARIZE_SPACE_ID and ARIZE_API_KEY are set in the same shell that runs example.py. Enable OpenTelemetry debug logs with export OTEL_LOG_LEVEL=debug and re-run.
• OpenAI spans missing. OpenAIInstrumentor().instrument(...) must run before any from openai import .... Make sure instrumentation.py is the first import in your entry point.
• 401 from Together. Verify TOGETHER_API_KEY is set and active. Generate a new key at api.together.ai/settings/api-keys if needed.
• model_not_found. The exact model slug must match Together’s catalog — see Together’s models page. Swap the model= string for one your account can call.

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Resources