together-ai
Cloud platform for running open-source AI models. Provides inference APIs for LLMs, image models, and embedding models. Supports fine-tuning on custom data, OpenAI-compatible API format, and competitive pricing for open-source model hosting.
npx skills add majiayu000/claude-skill-registry --skill together-ai --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Together AI ## Installation ```bash # Install Together Python client pip install together # Set API key export TOGETHER_API_KEY="xxxxxxxxxxxx" ``` ## Chat Completions (OpenAI-Compatible) ```python # chat_completions.py — Use Together AI with the OpenAI SDK from openai import OpenAI client = OpenAI( base_url="https://api.together.xyz/v1", api_key="your-together-api-key", ) response = client.chat.completions.create( model="meta-llama/Llama-3.1-70B-Instruct-Turbo", messages=[ {"role": "system", "content": "You are a helpful coding assistant."}, {"role": "user", "content": "Write a Python function to merge two sorted lists."}, ], max_tokens=500, temperature=0.7, ) print(response.choices[0].message.content) ``` ## Together Python SDK ```python # together_sdk.py — Use the native Together SDK for additional features import together client = together.Together() # Chat completion response = client.chat.completions.create( model="mistralai/Mixtral-8x7B-Instruct-v0.1", messages=[{"role": "user", "content": "Explain transformers architecture."}], max_tokens=300, ) print(response.choices[0].message.content) # Streaming stream = client.chat.completions.create( model="meta-llama/Llama-3.1-8B-In
- Installation
- Chat Completions (OpenAI-Compatible)
- Together Python SDK
- Embeddings
- Image Generation
- Fine-Tuning
- JSON Mode
- Key Concepts
Install Together Python client pip install together Set API key export TOGETHER_API_KEY="xxxxxxxxxxxx"
What does the together-ai skill do?
Cloud platform for running open-source AI models. Provides inference APIs for LLMs, image models, and embedding models. Supports fine-tuning on custom data, OpenAI-compatible API format, and competitive pricing for open-source model hosting.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill together-ai --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.