proxy,ui: add performance monitoring with Prometheus metrics (#743)
Add a comprehensive performance monitoring system that collects CPU, memory, swap, load average, network IO, and GPU stats. Provides both a REST API for the UI and a Prometheus /metrics endpoint. Backend changes: - New internal/perf package with configurable interval-based stats collection - GPU monitoring via LACT (Unix socket) and nvidia-smi fallback on Linux - Ring buffer (internal/ring) for time-series stat storage - Prometheus /metrics endpoint with all system and GPU metrics - Moved LogMonitor to internal/logmon package - New PerformanceConfig for hot-reloadable monitoring settings - REST /api/performance endpoint replacing SSE streaming UI changes: - New Performance page with real-time charts for CPU, memory, GPU, and network - Reusable PerformanceChart component - LLAMA_SWAP_URL environment variable support - Improved capture dialog display Other: - Example Grafana dashboard for Prometheus metrics - monitor-test standalone binary - Config schema and example updates fixes #596
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@@ -11,20 +11,21 @@ import (
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"testing"
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"time"
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"github.com/mostlygeek/llama-swap/internal/logmon"
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"github.com/mostlygeek/llama-swap/proxy/config"
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"github.com/stretchr/testify/assert"
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)
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var (
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debugLogger = NewLogMonitorWriter(os.Stdout)
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debugLogger = logmon.NewWriter(os.Stdout)
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)
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func init() {
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// flip to help with debugging tests
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if false {
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debugLogger.SetLogLevel(LevelDebug)
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debugLogger.SetLogLevel(logmon.LevelDebug)
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} else {
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debugLogger.SetLogLevel(LevelError)
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debugLogger.SetLogLevel(logmon.LevelError)
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}
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}
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@@ -585,7 +586,7 @@ func TestProcess_CustomTimeouts(t *testing.T) {
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},
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}
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debugLogger := NewLogMonitorWriter(io.Discard)
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debugLogger := logmon.NewWriter(io.Discard)
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process := NewProcess("test-model", 30, modelConfig, debugLogger, debugLogger)
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// Verify the process was created successfully
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