## Turn 1

Cautious server-admin agent for a home-lab AI server.
192.168.1.116, AMD Radeon AI PRO R9700 (32GB VRAM), llama.cpp (Vulkan), Qwen3.6-35B-A3B-APEX-MTP-I-Balanced.gguf, 262k context, MTP enabled, Reasoning budget 8192, Flight Recorder proxy, ServerTop dashboard.
`finish_reason=length` issues, need for `max_tokens` adjustment, SQLite DB on `/models`, privacy requirements.
A complete agent runbook for diagnosing, fixing, validating, and rolling back benchmark infrastructure problems.
10,000 to 14,000 tokens.

        *   # Operating Principles
        *   # Preflight Checks
        *   # Safe Inspection Commands
        *   # Reasoning Budget Verification
        *   # Long Output Validation
        *   # GPU And VRAM Checks
        *   # Proxy And Database Checks
        *   # Dashboard Checks
        *   # Failure Triage Trees
        *   # Rollback Procedures
        *   # Human Approval Gates
        *   # Evidence To Capture
        *   # Final Go No-Go Checklist
Shell commands with risk levels (read-only, low, medium, destructive). No secrets.

    *   *Operating Principles:* Focus on "Cautious," "Private," "Validated." Emphasize the "Measure twice, cut once" philosophy.
    *   *Preflight Checks:* Basic connectivity, container status, model loading.
    *   *Safe Inspection Commands:* `docker ps`, `curl` to health endpoints, `df -h`.
    *   *Reasoning Budget Verification:* Specifically addressing the `--reasoning-budget 8192` and the `finish_reason=length` issue. How to test if the budget is actually being used and if it's cutting off.
    *   *Long Output Validation:* Strategies for testing `max_tokens` vs. `reasoning_budget`. Iterative testing.
    *   *GPU/VRAM Checks:* `rocm-smi` (since it's AMD), monitoring VRAM usage during inference.
    *   *Proxy/DB Checks:* Checking the Flight Recorder proxy (8181) and the SQLite DB on `/models`.
    *   *Dashboard Checks:* ServerTop (8090) metrics.
    *   *Failure Triage Trees:* Decision trees for "Model not loading," "Output truncated," "Proxy timeout," "VRAM OOM."
    *   *Rollback Procedures:* How to revert container versions or model files.
    *   *Human Approval Gates:* When to stop and ask the user.
    *   *Evidence To Capture:* Logs, screenshots, JSON responses.
    *   *Final Go No-Go Checklist:* The ultimate sign-off.

    *   *Expanding the content:* To hit the 12k token target, I need to be extremely detailed. Instead of just saying "Check logs," I will provide the exact `docker logs` command, explain what to look for (specific regex or keywords), and provide a table of expected vs. unexpected log entries.
    *   *Deep Dives:* I'll add "Deep Dive" sections for MTP (Multi-Token Prediction) and Vulkan drivers, as these are specific to the environment.
    *   *Scenario-based examples:* I'll create hypothetical failure scenarios and walk through the runbook steps for each.
    *   *Detailed Command Tables:* I will create comprehensive tables for every command used.

    *   *Host:* 192.168.1.116.
    *   *GPU:* AMD Radeon AI PRO R9700. (Use `rocm-smi` or `radeontop`).
    *   *Model:* Qwen3.6-35B... (Note the size and the MTP config).
    *   *Context:* 262,144 (This is huge; VRAM management is critical).
    *   *Proxy:* Flight Recorder (8181).
    *   *Dashboard:* ServerTop (8090).

    *   *Operating Principles:* Establish the "Cautious Admin" persona.
    *   *Preflight:* Step-by-step connectivity tests.
    *   *Inspection:* Detailed `curl` commands to the `/v1/models` and `/health` endpoints.
    *   *Reasoning Budget:* Explain the interaction between `reasoning_budget` and `max_tokens`. If `max_tokens` is too low, the reasoning content consumes the budget and the final answer is truncated.
    *   *Long Output:* Create a "Stress Test" protocol.
    *   *GPU:* Focus on Vulkan and ROCm.
    *   *Proxy/DB:* SQLite queries to check for corruption or size.
    *   *Triage:* Use a structured "If X then Y" format.
    *   *Rollback:* Versioning the `.gguf` files.

    *   *Self-Correction during drafting:* I initially thought about using `nvidia-smi`, but the prompt specifies an AMD GPU. I must use `rocm-smi`.
    *   *Token Count Check:* I need to ensure I don't just repeat myself, but provide *meaningful* depth. I will add a section on "Context Window Saturation" and "MTP Draft Token Efficiency."