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Summary

Set the filter graph thread count to 1 in Graph.__cinit__ to prevent potential thread safety issues.

Changes

  • Add lib.av_opt_set_int(self.ptr, "threads", 1, 0) after avfilter_graph_alloc() in av/filter/graph.pyx

Motivation

By default, FFmpeg's filter graph may use multiple threads for parallel filter execution. However, this can cause race conditions or unexpected behavior when the filter graph is accessed from Python code that isn't designed for concurrent access.

We encountered this issue in a production environment where multi-threaded filter graph execution caused intermittent crashes and data corruption.

Setting threads=1 ensures deterministic, single-threaded filter execution, which is safer for typical PyAV usage patterns where Python's GIL provides thread safety assumptions.

Testing

This change has been running in production without issues. The modification is minimal and only affects the threading behavior of filter graphs.

import av

# Filter graph now executes in single-threaded mode
graph = av.filter.Graph()
# ... configure and use graph

Add a configurable `nb_threads` parameter to `Graph.__cinit__` to allow
users to control the number of threads used by the filter graph.

Features:
- `nb_threads=0` (default): Use FFmpeg's auto-detection (no behavior change)
- `nb_threads=1`: Single-threaded execution (safer for some use cases)
- `nb_threads=N`: Use N threads for filter graph execution
- Environment variable `PYAV_FILTERGRAPH_THREADS` can override the setting

This provides flexibility for users who need single-threaded execution
for thread safety reasons, while maintaining backward compatibility
with the default behavior.
@chicogong chicogong force-pushed the fix/filter-graph-thread-safety branch from 5005628 to fae6e44 Compare December 29, 2025 11:53
@chicogong
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Additional Context: Multi-Process Production Environments

Another important use case for this feature is multi-process production deployments.

In production environments, it's common to run multiple worker processes (e.g., via Gunicorn, uWSGI, or multiprocessing) to handle concurrent requests. When each process creates filter graphs that spawn multiple threads internally, the total thread count can explode:

Total threads = num_workers × num_requests × ffmpeg_filter_threads

For example, with 8 worker processes, each handling requests that use filter graphs with FFmpeg's default thread auto-detection (let's say 4 threads per graph), you could easily end up with 32+ active threads competing for CPU resources. This leads to:

  • Thread contention and context switching overhead
  • Unpredictable latency spikes
  • Resource exhaustion under load

By setting nb_threads=1 (or via PYAV_FILTERGRAPH_THREADS=1), we can ensure predictable resource usage:

Total threads = num_workers × num_requests × 1

This gives operators better control over system resources and makes capacity planning more predictable. The slight reduction in single-request throughput is often worth the improved stability and predictability in production.

This has been validated in our production environment serving audio/video processing workloads.

@chicogong
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Code review

No issues found. Checked for bugs and CLAUDE.md compliance.

Note: This repository does not have a CLAUDE.md file.

@WyattBlue
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We're not gimping filtergraphs just because an LLM told you it's unsafe. This PR doesn't even do what the title says. It just allows the threads to be set to a value, but doesn't change the default.

@WyattBlue WyattBlue closed this Dec 29, 2025
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2 participants