Files
bot/docs/providers/together.md
zeekay 4bdc9ee3e4 chore: rebrand openclaw → hanzo-bot for bridge merge
Comprehensive rename of all openclaw references to hanzo-bot equivalents:
- Package: openclaw → @hanzo/bot
- Binary: openclaw → hanzo-bot
- Types: OpenClaw* → Bot*
- Env vars: OPENCLAW_* → BOT_*
- Android: ai.openclaw.android → ai.hanzo.bot.android
- iOS/macOS: ai.openclaw.* → ai.hanzo.*
- Swift modules: OpenClaw* → Bot*
- Plugins: openclaw.plugin.json → bot.plugin.json
- Paths: .openclaw/ → .hanzo/bot/
- URLs: github.com/openclaw → github.com/hanzoai
2026-02-26 22:36:01 -08:00

1.7 KiB

summary, read_when
summary read_when
Together AI setup (auth + model selection)
You want to use Together AI with Hanzo Bot
You need the API key env var or CLI auth choice

Together AI

The Together AI provides access to leading open-source models including Llama, DeepSeek, Kimi, and more through a unified API.

  • Provider: together
  • Auth: TOGETHER_API_KEY
  • API: OpenAI-compatible

Quick start

  1. Set the API key (recommended: store it for the Gateway):
hanzo-bot onboard --auth-choice together-api-key
  1. Set a default model:
{
  agents: {
    defaults: {
      model: { primary: "together/moonshotai/Kimi-K2.5" },
    },
  },
}

Non-interactive example

hanzo-bot onboard --non-interactive \
  --mode local \
  --auth-choice together-api-key \
  --together-api-key "$TOGETHER_API_KEY"

This will set together/moonshotai/Kimi-K2.5 as the default model.

Environment note

If the Gateway runs as a daemon (launchd/systemd), make sure TOGETHER_API_KEY is available to that process (for example, in ~/.hanzo-bot/.env or via env.shellEnv).

Available models

Together AI provides access to many popular open-source models:

  • GLM 4.7 Fp8 - Default model with 200K context window
  • Llama 3.3 70B Instruct Turbo - Fast, efficient instruction following
  • Llama 4 Scout - Vision model with image understanding
  • Llama 4 Maverick - Advanced vision and reasoning
  • DeepSeek V3.1 - Powerful coding and reasoning model
  • DeepSeek R1 - Advanced reasoning model
  • Kimi K2 Instruct - High-performance model with 262K context window

All models support standard chat completions and are OpenAI API compatible.