together-chat-completions
Together Chat Completions
Overview
Use Together AI's serverless chat/completions API for interactive inference workloads:
- basic text generation
- streaming responses
- multi-turn chat state
- tool and function calling
- structured outputs
- reasoning-capable models
Treat this skill as the default entry point for Together AI text generation unless the task is clearly offline batch processing, vector retrieval, model training, or infrastructure management.
When This Skill Wins
- Build a chatbot, assistant, or text-generation endpoint on Together AI
More from zainhas/togetherai-skills
together-code-interpreter
Use this skill for Together AI Code Interpreter workflows: remote Python execution, session reuse, file uploads, data analysis, plots, and stateful notebook-like runs through the TCI API. Reach for it whenever the user wants managed remote Python execution on Together AI instead of local execution, raw clusters, or full model hosting.
33together-audio
Text-to-speech and speech-to-text via Together AI, including REST, streaming, and realtime WebSocket TTS, plus transcription, translation, diarization, timestamps, and live STT. Reach for it whenever the user needs audio in or audio out on Together AI rather than chat generation, image or video creation, or model training.
14together-images
Text-to-image generation and image editing via Together AI, including FLUX and Kontext models, LoRA-based styling, reference-image guidance, and local image downloads. Reach for it whenever the user wants to generate or edit images on Together AI rather than create videos or build text-only chat applications.
14together-dedicated-endpoints
Single-tenant GPU endpoints on Together AI with autoscaling and no rate limits. Deploy fine-tuned or uploaded models, size hardware, and manage endpoint lifecycle. Reach for it whenever the user needs predictable always-on hosting rather than serverless inference, custom containers, or raw clusters.
13together-video
Text-to-video and image-to-video generation via Together AI, including keyframe control, model and dimension selection, asynchronous job polling, and video downloads. Reach for it whenever the user wants motion generation on Together AI rather than still-image generation or text-only inference.
12together-fine-tuning
LoRA, full fine-tuning, DPO preference tuning, VLM training, function-calling tuning, reasoning tuning, and BYOM uploads on Together AI. Reach for it whenever the user wants to adapt a model on custom data rather than only run inference, evaluate outputs, or host an existing model.
11