> ## Documentation Index > Fetch the complete documentation index at: https://praison.ai/docs/llms.txt > Use this file to discover all available pages before exploring further. # Profiler • AI Agents Framework > Profiler: Centralized profiler for performance monitoring. # Profiler > Defined in the [**profiler**](../modules/profiler) module. AI Agents Framework Centralized profiler for performance monitoring. Thread-safe singleton pattern for global access. Features: * Function/block timing * API call profiling (wall-clock) * Streaming profiling (TTFT) * Memory profiling * Import timing * Statistics (p50, p95, p99) * cProfile integration * Export (JSON, HTML) ## Methods Enable profiling. Disable profiling. Check if profiling is enabled. Clear all profiling data. Record a timing measurement. Record an import timing. Record a flow step. Context manager for profiling a block of code. Get timing records, optionally filtered by category. Get import records, optionally filtered by minimum duration. Get flow records. Get files accessed with counts. Get profiling summary. Generate and output profiling report. Record an API/HTTP call timing. Get API call records. Context manager for profiling API calls. Record streaming metrics. Get streaming records. Context manager for profiling streaming operations. Async context manager for profiling streaming operations. Record memory usage. Get memory records. Context manager for profiling memory usage. Take a memory snapshot. Get statistical analysis of timing data. Context manager for cProfile profiling. Get cProfile statistics. Get line-level profiling data. Store line-level profiling data. Generate flamegraph-compatible data from flow records. Export flamegraph to SVG file. Export profiling data as JSON. Export profiling data as HTML report. Export profiling data to file. ## Source `praisonai/profiler.py` at line 216 *** ## Related Documentation