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🛠 Agent Debugging & Troubleshooting Playbook

This document outlines the diagnostic routine for AI coding agents and human operators when troubleshooting local daemons, runtime execution providers, linkers, hardware telemetry, or connection issues in BenchRig.

1. Diagnosing Daemon Status & Connectivity

A. Ollama Daemon

# Check HTTP ping and installed models:
curl -s http://localhost:11434/api/tags

# If offline or unresponsive:
# Linux/WSL2:
ollama serve > /dev/null 2>&1 &
# Or check systemd service:
systemctl --user status ollama || sudo systemctl status ollama

B. Microsoft Foundry Local Daemon

# 1. Quick diagnostic via benchrig:
benchrig --check

# 2. Native CLI status check:
foundry server status

# 3. If offline, start the server:
foundry server start

# 4. Check dynamic port auto-discovery:
cat ~/.foundry/daemon.json
# Look for "web_urls": ["http://127.0.0.1:<port>"]
# Ensure your request targets http://127.0.0.1:<port>/v1

2. Inspecting Log Files

When troubleshooting Foundry Local or ONNX Runtime errors:

  • Daemon Startup & IPC Logs: 
    tail -n 50 ~/.foundry/logs/foundrylocald-$(date +%Y-%m-%d).log
  • Core Runtime & Execution Provider Logs: 
    tail -n 50 ~/.foundry/logs/foundry.core$(date +%Y%m%d).log
  • Filter for EP Registration: 
    grep -E "CUDA|TensorRT|EP|ExecutionProvider" ~/.foundry/logs/foundry.core$(date +%Y%m%d).log | tail -n 20

3. Hardware & Dynamic Linker (LD_LIBRARY_PATH) Verification

On Linux / WSL2 (NVIDIA CUDA & TensorRT):

  • Verify GPU visibility: 
    nvidia-smi || /usr/lib/wsl/lib/nvidia-smi
  • Verify CUDA Execution Provider shared objects: 
    ldd ~/.local/lib/foundry-cli/libonnxruntime_providers_cuda.so | grep "not found"
    (Should produce no output; all symbols resolved).
  • Verify TensorRT Execution Provider shared objects: 
    export LD_LIBRARY_PATH="$HOME/.local/lib/tensorrt/tensorrt_libs:$LD_LIBRARY_PATH"
ldd ~/.local/lib/foundry-cli/libonnxruntime_providers_tensorrt.so | grep "not found"
  • Verify Daemon Linker Wrapper: Check ~/.local/lib/foundry-cli/foundrylocald. It must prepend LD_LIBRARY_PATH before delegating to foundrylocald.real.

On macOS (Apple Silicon Metal & UMA):

  • Verify physical RAM: sysctl -n hw.memsize
  • Verify active UMA memory breakdown: vm_stat
  • Verify GPU compute occupancy: ioreg -r -d 1 -w 0 -c IOAccelerator
  • Verify Ollama Metal allocations: curl -s http://localhost:11434/api/ps

4. Debugging Model Loading Errors

In Microsoft Foundry Local, models must be loaded into memory before /v1/chat/completions responds:

  • Error: Failed to handle OpenAI completion: Model '...' is not loaded.
  • Fix: Run foundry model load <model_alias> (e.g. foundry model load phi-3.5-mini).
  • Note: benchrig catches this error and triggers auto-loading (FoundryClient.generate).