Together AI Batch Inference Skill for Claude Code

What is This Skill?

This skill teaches AI coding agents how to use Together AI's batch inference API for high-volume, asynchronous workloads. Submit thousands of prompts in a single job, pay up to 50% less than real-time inference, and retrieve results when ready.

Answer-Ready: Together AI Batch Inference Skill for coding agents. High-volume async inference at up to 50% cost savings. Automatic queuing, progress tracking, and result retrieval. Part of official 12-skill collection.

Best for: Teams running large-scale LLM inference jobs. Works with: Claude Code, Cursor, Codex CLI.

What the Agent Learns

Submit Batch Job

from together import Together

client = Together()

# Upload input file (JSONL format)
file = client.files.upload("batch_input.jsonl")

# Create batch job
batch = client.batch.create(
    input_file_id=file.id,
    model="meta-llama/Llama-3.3-70B-Instruct-Turbo",
    endpoint="/v1/chat/completions",
)
print(f"Batch ID: {batch.id}")

Input Format (JSONL)

{"custom_id": "req-1", "body": {"model": "meta-llama/Llama-3.3-70B-Instruct-Turbo", "messages": [{"role": "user", "content": "Summarize this article..."}]}}
{"custom_id": "req-2", "body": {"model": "meta-llama/Llama-3.3-70B-Instruct-Turbo", "messages": [{"role": "user", "content": "Translate to French..."}]}}

Check Status & Retrieve Results

status = client.batch.retrieve(batch.id)
print(f"Progress: {status.completed}/{status.total}")

# Download results when done
if status.status == "completed":
    results = client.files.content(status.output_file_id)

FAQ

Q: How much cheaper is batch inference? A: Up to 50% cheaper than real-time. Exact savings depend on model and volume.

Q: How long does it take? A: Results typically available within 24 hours. Priority processing available at standard pricing.