Files
openclaw-skill/openclaw-knowhow-skill/output/openclaw-docs_data/pages/Model_Providers_bfbd034c10.json
Selig 4c966a3ad2 Initial commit: OpenClaw Skill Collection
6 custom skills (assign-task, dispatch-webhook, daily-briefing,
task-capture, qmd-brain, tts-voice) with technical documentation.
Compatible with Claude Code, OpenClaw, Codex CLI, and OpenCode.
2026-03-13 10:58:30 +08:00

24 lines
1.8 KiB
JSON
Executable File

{
"title": "Model Providers",
"content": "OpenClaw can use many LLM providers. Pick one, authenticate, then set the default\nmodel as `provider/model`.\n\n## Highlight: Venice (Venice AI)\n\nVenice is our recommended Venice AI setup for privacy-first inference with an option to use Opus for the hardest tasks.\n\n* Default: `venice/llama-3.3-70b`\n* Best overall: `venice/claude-opus-45` (Opus remains the strongest)\n\nSee [Venice AI](/providers/venice).\n\n## Quick start (two steps)\n\n1. Authenticate with the provider (usually via `openclaw onboard`).\n2. Set the default model:\n\n## Supported providers (starter set)\n\n* [OpenAI (API + Codex)](/providers/openai)\n* [Anthropic (API + Claude Code CLI)](/providers/anthropic)\n* [OpenRouter](/providers/openrouter)\n* [Vercel AI Gateway](/providers/vercel-ai-gateway)\n* [Cloudflare AI Gateway](/providers/cloudflare-ai-gateway)\n* [Moonshot AI (Kimi + Kimi Coding)](/providers/moonshot)\n* [Synthetic](/providers/synthetic)\n* [OpenCode Zen](/providers/opencode)\n* [Z.AI](/providers/zai)\n* [GLM models](/providers/glm)\n* [MiniMax](/providers/minimax)\n* [Venice (Venice AI)](/providers/venice)\n* [Amazon Bedrock](/bedrock)\n\nFor the full provider catalog (xAI, Groq, Mistral, etc.) and advanced configuration,\nsee [Model providers](/concepts/model-providers).",
"code_samples": [],
"headings": [
{
"level": "h2",
"text": "Highlight: Venice (Venice AI)",
"id": "highlight:-venice-(venice-ai)"
},
{
"level": "h2",
"text": "Quick start (two steps)",
"id": "quick-start-(two-steps)"
},
{
"level": "h2",
"text": "Supported providers (starter set)",
"id": "supported-providers-(starter-set)"
}
],
"url": "llms-txt#model-providers",
"links": []
}