gitea
79b783864e
- Rewrite vram_detect in Python with fixed config parsing and 10KB read limit
- Add pytest suite (72 tests) covering dashboard core, app security, and VRAM
- Standardize all prompts to .automaton/tasks/{task-name}/ path
- Reconcile dashboard spec with web implementation; remove themes.py
- Remove half-implemented refresh.py file watcher
- Harden dashboard static-file serving and task-name validation
- Add uncommitted-change guard to update.sh and real Gitea URLs
- Add AGENTS.md, Gitea CI workflow, and template documentation
62 lines
2.7 KiB
Bash
Executable File
62 lines
2.7 KiB
Bash
Executable File
#!/bin/bash
|
|
set -e
|
|
|
|
FRAMEWORK_DIR="$HOME/.automaton"
|
|
|
|
if [ -d "$FRAMEWORK_DIR" ]; then
|
|
echo "automaton already installed at $FRAMEWORK_DIR"
|
|
echo "Run './update.sh' to update."
|
|
exit 0
|
|
fi
|
|
|
|
echo "Cloning automaton to $FRAMEWORK_DIR..."
|
|
git clone http://10.37.0.86:3003/hermes/automaton "$FRAMEWORK_DIR"
|
|
|
|
echo ""
|
|
echo "=== VRAM / Context Detection ==="
|
|
echo "Detecting your system's VRAM to recommend task decomposition settings..."
|
|
echo ""
|
|
|
|
# Run VRAM detection script if it exists
|
|
if [ -f "$FRAMEWORK_DIR/scripts/vram_detect.py" ]; then
|
|
# Run in project-dir context so it can read framework overhead
|
|
detection_output=$(cd "$FRAMEWORK_DIR" && python3 "$FRAMEWORK_DIR/scripts/vram_detect.py" 2>&1)
|
|
|
|
# Extract JSON output (the block after "=== JSON Output ===")
|
|
json_output=$(echo "$detection_output" | sed -n '/=== JSON Output ===/,$p' | tail -n +2)
|
|
|
|
if [ -n "$json_output" ]; then
|
|
echo "$detection_output"
|
|
|
|
# Extract key values from JSON using Python
|
|
recommended_k=$(echo "$json_output" | python3 -c 'import json,sys; print(json.load(sys.stdin)["recommended_k"])')
|
|
max_peak_kb=$(echo "$json_output" | python3 -c 'import json,sys; print(json.load(sys.stdin)["max_peak_context_kb"])')
|
|
headroom=$(echo "$json_output" | python3 -c 'import json,sys; print(json.load(sys.stdin)["headroom"])')
|
|
gpu_vram=$(echo "$json_output" | python3 -c 'import json,sys; print(json.load(sys.stdin)["gpu_vram_gb"])')
|
|
ram_gb=$(echo "$json_output" | python3 -c 'import json,sys; print(json.load(sys.stdin)["ram_gb"])')
|
|
model_context=$(echo "$json_output" | python3 -c 'import json,sys; print(json.load(sys.stdin)["model_context_kb"])')
|
|
|
|
echo ""
|
|
echo "=== Recommended VRAM Configuration ==="
|
|
echo "For low-VRAM systems (8GB, 16GB VRAM), add this to ~/.automaton/config.md:"
|
|
echo ""
|
|
echo "## VRAM Configuration"
|
|
echo "- **Auto-detect**: Yes # Let the agent detect automatically"
|
|
echo "- **Target context**: ${recommended_k}k tokens # Override auto-detect if needed"
|
|
echo "- **Headroom**: ${headroom}%"
|
|
echo "- **Max peak context per sub-task**: $((max_peak_kb / 1000))k tokens"
|
|
echo ""
|
|
echo "This ensures tasks are decomposed into sub-tasks that fit within your"
|
|
echo "available VRAM. For more information, see the README."
|
|
else
|
|
echo "Could not detect VRAM. You can manually set your VRAM configuration in ~/.automaton/config.md."
|
|
echo "See the README for details."
|
|
fi
|
|
else
|
|
echo "VRAM detection script not found. You can manually set your VRAM configuration in ~/.automaton/config.md."
|
|
echo "See the README for details."
|
|
fi
|
|
|
|
echo ""
|
|
echo "Installation complete."
|
|
echo "Next step: cd into a project and run the onboarding prompt." |