63 lines
1.7 KiB
Markdown
63 lines
1.7 KiB
Markdown
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# `grokkit agent` pprof integration
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## Priority: 10 of 12
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**Description**: Go pprof profiling wrappers (CPU/memory/allocs). Captures profiles during agent runs, AI-analyzes hotspots.
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## Problem It Solves
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Profile.md is high-level; pprof enables raw data + AI opts for slow cmds (agent loops).
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## Benefits
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- **Capture**: `go test -cpuprofile` or runtime/pprof.
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- **Analyze**: Feed pprof text/top to Grok ("Optimize this flamegraph").
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- **Safe**: Temp .pprof files, no web UI.
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- **Integrate**: Auto-profile long agents.
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## Agent Tool Examples
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```
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grokkit agent "Profile cmd/agent.go benchmark, suggest fixes"
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# Grok: pprof cpu → "30% in StreamSilent, batch calls"
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```
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## High-Level Implementation
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1. **Detect**: `go tool pprof --version`.
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2. **Tool schemas**:
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- `cpu_profile(duration: int) → pprof_text`
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- `analyze(profile_data: string) → suggestions`
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3. **Wrappers** in `internal/tools/pprof.go`:
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```go
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func CPUProfile(ctx context.Context, args map[string]any) (string, error)
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```
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4. **Agent integration**: Flag-triggered profiling.
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5. **Safety**:
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- Tempdir files (os.TempDir).
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- No --http/--pdf.
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- Config: `[tools.pprof.enabled]`.
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## Flags / Config
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| Key | Description |
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|-----|-------------|
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| `tools.pprof.enabled` | Enable pprof tools |
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| `--profile-cpu` | Auto-cpu on agent |
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## Implementation Notes
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- **Capture**: runtime/pprof.StartCPUProfile, or `go test -cpuprofile`.
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- **Parse**: `go tool pprof -text`.
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- **Errors**: PprofError.
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- **Tests**: Mock profiles.
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- **Effort**: Medium (~180 LOC). Ties to profile.md.
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- **Prereq**: Go stdlib pprof.
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## ROI
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**High** for perf:
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| Stage | Covered |
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|-------|---------|
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| Profile | **pprof** ← new |
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| Analyze | profile.md ✓ |
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