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Telegram 与 CLI 体验差异的定位清单(模型/上下文/参数对齐)

针对“同模型在 Telegram 感觉更笨”问题,先做环境对齐与可观测性校验,再判断是否为模型能力问题,避免误判。

REDDITDiscovered 2026-02-13Author u/InterestingSize26
Prerequisites
  • You can run the same prompt in both OpenClaw channel and CLI contexts.
  • Access to current model/usage metadata and channel routing config.
Steps
  1. Freeze one benchmark prompt set (short, medium, tool-using) and run it in both environments.
  2. Verify model alias/provider matches exactly; check if channel has fallback or override.
  3. Compare context size and compaction behavior for each run; watch for truncated tool outputs.
  4. Normalize prompt wrapper differences (system preamble, reply formatting constraints, channel-specific quoting).
  5. Only after parity checks, escalate to model-quality diagnosis or provider ticket.
Commands
openclaw status
openclaw gateway status
openclaw help
Verify

When model and context are aligned, quality delta narrows; remaining gap is attributable to channel wrapper or provider behavior.

Caveats
  • Single anecdotal report is insufficient; run multiple controlled prompts before concluding(需验证)。
  • Interactive IDE workflows may still feel better due to tighter human-in-the-loop iteration speed.
Source attribution

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

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