thedixitjain Together AI Hello World
Overview
Run chat completions with open-source models via Together AI's OpenAI-compatible API. Supports Llama, Mixtral, Qwen, and 100+ models. Key endpoints: /v1/chat/completions, /v1/completions, /v1/embeddings, /v1/images/generations.
Instructions
Step 1: Chat Completions
from together import Together
client = Together()
response = client.chat.completions.create(
model="meta-llama/Llama-3.3-70B-Instruct-Turbo",
messages=[
{"role": "system", "content": "You are a helpful coding assistant."},
{"role": "user", "content": "Write a Python function to calculate fibonacci numbers"},
],
max_tokens=500,
temperature=0.7,
top_p=0.9,
)
print(response.choices[0].message.content)
print(f"Tokens: {response.usage.prompt_tokens} in, {response.usage.completion_tokens} out")
Step 2: Streaming
stream = client.chat.completions.create(
model="meta-llama/Llama-3.3-70B-Instruct-Turbo",
messages=[{"role": "user", "content": "Explain quantum computing"}],
stream=True,
max_tokens=200,
)
for chunk in stream:
if chunk.choices[0].delta.content:
print(chunk.choices[0].delta.content, end="", flush=True)
Step 3: Image Generation
response = client.images.generate(
model="black-forest-labs/FLUX.1-schnell-Free",
prompt="A sunset over mountains, digital art style",
width=1024, height=768,
n=1,
)
print(f"Image URL: {response.data[0].url}")
Step 4: Embeddings
response = client.embeddings.create(
model="togethercomputer/m2-bert-80M-8k-retrieval",
input=["Hello world", "Together AI is great"],
)
print(f"Embedding dim: {len(response.data[0].embedding)}")
Step 5: Node.js with OpenAI Client
import OpenAI from 'openai';
const together = new OpenAI({
apiKey: process.env.TOGETHER_API_KEY,
baseURL: 'https://api.together.xyz/v1',
});
const chat = await together.chat.completions.create({
model: 'meta-llama/Llama-3.3-70B-Instruct-Turbo',
messages: [{ role: 'user', content: 'Hello!' }],
});
console.log(chat.choices[0].message.content);
Output
def fibonacci(n):
if n <= 1:
return n
return fibonacci(n-1) + fibonacci(n-2)
Tokens: 28 in, 45 out
Error Handling
| Error | Cause | Solution |
|---|---|---|
Model not found |
Wrong model ID | Check docs.together.ai/docs/inference-models |
| Empty response | max_tokens too low | Increase max_tokens |
429 rate limit |
Too many requests | Implement backoff |
| Slow response | Large model | Try Turbo variant or smaller model |
Resources
Next Steps
Proceed to together-local-dev-loop for development workflow.
Source: jeremylongshore/claude-code-plugins-plus-skills → plugins/saas-packs/together-pack/skills/together-hello-world/SKILL.md