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GitHub PR:新增 Hugging Face Inference Provider 的落地验证清单

适用于“想把 OpenClaw 模型后端扩展到 Hugging Face/Together”的场景:按配置、路由、回归测试逐步上线,降低模型切换风险。

GITHUBDiscovered 2026-02-13Author Josephrp
Prerequisites
  • You can run a version containing PR #13472 changes and have provider API credentials.
  • A baseline test suite exists for model quality/latency/cost regression.
Steps
  1. Enable provider config in staging first; keep existing default model as fallback path.
  2. Run representative prompts across old/new providers and compare output stability + tool-call behavior.
  3. Check auth injection and error handling for 401/429/timeout cases before production rollout.
  4. Roll out gradually by traffic slice or selected workflows; monitor failures and cost drift.
Commands
openclaw status
openclaw gateway status
openclaw gateway restart
Verify

New provider completes the same workflow set with acceptable quality and no elevated tool-call failure rate.

Caveats
  • Provider-side model behavior may differ even under identical prompts; keep per-model prompt tuning.
  • PR is still open; final config keys/contracts may change(需验证)。
Source attribution

This tip is aggregated from community/public sources and preserved with attribution.

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