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- Add full frontmatter (title, summary, read_when) to 4 files that had none: auth-credential-semantics.md, kilo-gateway-integration.md, CONTRIBUTING-THREAT-MODEL.md, THREAT-MODEL-ATLAS.md - Add missing title field to 3 provider docs: kilocode.md, litellm.md, together.md Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
67 lines
1.7 KiB
Markdown
67 lines
1.7 KiB
Markdown
---
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title: "Together AI"
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summary: "Together AI setup (auth + model selection)"
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read_when:
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- You want to use Together AI with OpenClaw
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- You need the API key env var or CLI auth choice
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---
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# Together AI
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The [Together AI](https://together.ai) provides access to leading open-source models including Llama, DeepSeek, Kimi, and more through a unified API.
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- Provider: `together`
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- Auth: `TOGETHER_API_KEY`
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- API: OpenAI-compatible
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## Quick start
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1. Set the API key (recommended: store it for the Gateway):
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```bash
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openclaw onboard --auth-choice together-api-key
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```
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2. Set a default model:
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```json5
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{
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agents: {
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defaults: {
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model: { primary: "together/moonshotai/Kimi-K2.5" },
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},
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},
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}
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```
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## Non-interactive example
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```bash
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openclaw onboard --non-interactive \
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--mode local \
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--auth-choice together-api-key \
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--together-api-key "$TOGETHER_API_KEY"
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```
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This will set `together/moonshotai/Kimi-K2.5` as the default model.
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## Environment note
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If the Gateway runs as a daemon (launchd/systemd), make sure `TOGETHER_API_KEY`
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is available to that process (for example, in `~/.openclaw/.env` or via
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`env.shellEnv`).
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## Available models
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Together AI provides access to many popular open-source models:
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- **GLM 4.7 Fp8** - Default model with 200K context window
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- **Llama 3.3 70B Instruct Turbo** - Fast, efficient instruction following
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- **Llama 4 Scout** - Vision model with image understanding
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- **Llama 4 Maverick** - Advanced vision and reasoning
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- **DeepSeek V3.1** - Powerful coding and reasoning model
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- **DeepSeek R1** - Advanced reasoning model
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- **Kimi K2 Instruct** - High-performance model with 262K context window
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All models support standard chat completions and are OpenAI API compatible.
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