together-hello-world

# 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 ```python 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 ```python 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 ```python 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.da...