fix: workflow inference chain — surface llama-server errors, user-turn-last, bundle-relative prompts
- LlamaCppInferenceProvider: check HTTP status and surface the real error body instead of masking it as a ChatCompletionResponse deserialization failure - PromptRenderer: render the live conversation layer (L1) last so the user turn is the final message (fixes Qwen 'No user query found' 500 when L3 recall is present) - TomlWorkflowLoader: resolve stage prompts relative to the workflow file's own dir (bundle), CWD-independent; config-dir fallback for globals - SessionOrchestrator: hard-fail a stage whose declared prompt can't resolve (was a silent user-less request) - move healthcheck prompts next to the example workflow (examples/workflows/prompts/)
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# healthcheck_execute.md
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Run `scripts/healthcheck.sh` and report the results.
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If the script fails, report the error and exit code.
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Write a bash healthcheck script that reports:
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- RAM usage %
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- CPU usage %
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- GPU usage % and VRAM usage % if an NVIDIA or AMD GPU is detected
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Use standard tools only (free, top/vmstat, nvidia-smi, rocm-smi).
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If no GPU is detected, skip that section gracefully.
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Output path: scripts/healthcheck.sh
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