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⚡ [performance improvement] Use non-blocking file reads in host agy daemon#371

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sheepdestroyer merged 2 commits into
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perf-agy-daemon-4584072379610792482
Jul 24, 2026
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⚡ [performance improvement] Use non-blocking file reads in host agy daemon#371
sheepdestroyer merged 2 commits into
masterfrom
perf-agy-daemon-4584072379610792482

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@sheepdestroyer

@sheepdestroyer sheepdestroyer commented Jul 24, 2026

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💡 What: Replaced synchronous open/read file operations in the host agy daemon's event loop with asynchronous calls via run_in_executor.

🎯 Why: To prevent blocking the main asyncio event loop during potentially slow file I/O operations, ensuring high concurrency.

📊 Measured Improvement: In benchmark tests simulating ~12MB of stdout/stderr, replacing blocking file I/O with run_in_executor reduced the maximum event loop blocking delay from 0.0404s to 0.0093s, significantly improving the daemon's responsiveness to parallel requests.


PR created automatically by Jules for task 4584072379610792482 started by @sheepdestroyer

Summary by Sourcery

Enhancements:

  • Refactor stdout and stderr file reading in the host agy daemon to run in a thread pool via run_in_executor, improving event loop responsiveness under heavy I/O.

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Reviewer's guide (collapsed on small PRs)

Reviewer's Guide

This PR refactors the host_agy_daemon’s handling of temporary stdout/stderr files to use asynchronous execution for file reads, reducing event-loop blocking and improving responsiveness under heavy I/O load.

Sequence diagram for non-blocking stdout/stderr file reads in host_agy_daemon

sequenceDiagram
    participant host_agy_daemon_run as host_agy_daemon_run
    participant asyncio_loop as asyncio_loop
    participant executor as executor
    participant read_file_sync as read_file_sync
    participant filesystem as filesystem

    host_agy_daemon_run->>asyncio_loop: get_running_loop
    host_agy_daemon_run->>asyncio_loop: run_in_executor(None, read_file_sync, stdout_path)
    asyncio_loop->>executor: schedule read_file_sync(stdout_path)
    executor->>read_file_sync: call read_file_sync(stdout_path)
    read_file_sync->>filesystem: open(path)
    filesystem-->>read_file_sync: file_handle
    read_file_sync->>filesystem: read()
    filesystem-->>read_file_sync: data
    read_file_sync-->>executor: stdout
    executor-->>asyncio_loop: stdout
    asyncio_loop-->>host_agy_daemon_run: stdout

    host_agy_daemon_run->>asyncio_loop: run_in_executor(None, read_file_sync, stderr_path)
    asyncio_loop->>executor: schedule read_file_sync(stderr_path)
    executor->>read_file_sync: call read_file_sync(stderr_path)
    read_file_sync->>filesystem: open(path)
    filesystem-->>read_file_sync: file_handle
    read_file_sync->>filesystem: read()
    filesystem-->>read_file_sync: data
    read_file_sync-->>executor: stderr
    executor-->>asyncio_loop: stderr
    asyncio_loop-->>host_agy_daemon_run: stderr
Loading

File-Level Changes

Change Details Files
Offload stdout/stderr temporary file reads to a thread pool via asyncio.run_in_executor to avoid blocking the main event loop.
  • Introduce a local helper function that encapsulates safe synchronous file reading with UTF-8 decoding and error handling, returning an empty string on failure.
  • Replace direct with-open/read/strip patterns for stdout and stderr with await calls to loop.run_in_executor, passing the helper function and the file path as arguments.
  • Retrieve the running event loop once and reuse it for both stdout and stderr read operations, maintaining existing behavior while making I/O non-blocking from the event loop’s perspective.
scripts/host_agy_daemon.py

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  • scripts/host_agy_daemon.py
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Hey - I've found 1 issue, and left some high level feedback:

  • You can read stdout and stderr concurrently to reduce overall latency by kicking off both run_in_executor calls and awaiting them together via asyncio.gather instead of awaiting them sequentially.
  • Consider hoisting the read_file_sync helper out of the run() scope (or making it a static utility) to avoid redefining it on every loop iteration and to make it easier to reuse or test.
Prompt for AI Agents
Please address the comments from this code review:

## Overall Comments
- You can read stdout and stderr concurrently to reduce overall latency by kicking off both run_in_executor calls and awaiting them together via asyncio.gather instead of awaiting them sequentially.
- Consider hoisting the read_file_sync helper out of the run() scope (or making it a static utility) to avoid redefining it on every loop iteration and to make it easier to reuse or test.

## Individual Comments

### Comment 1
<location path="scripts/host_agy_daemon.py" line_range="191-194" />
<code_context>
+                        return ""
+
+                loop_ref = asyncio.get_running_loop()
+                stdout = await loop_ref.run_in_executor(None, read_file_sync, stdout_path)
+                stderr = await loop_ref.run_in_executor(None, read_file_sync, stderr_path)

                 # Clean up temporary files
</code_context>
<issue_to_address>
**suggestion (performance):** You can read both files concurrently to fully leverage the executor.

Because these two file reads are independent, you can run them in parallel instead of awaiting them one after the other. For example:

```python
stdout, stderr = await asyncio.gather(
    loop_ref.run_in_executor(None, read_file_sync, stdout_path),
    loop_ref.run_in_executor(None, read_file_sync, stderr_path),
)
```

This reduces overall latency, especially if one read is slower than the other.

```suggestion
                loop_ref = asyncio.get_running_loop()
                stdout, stderr = await asyncio.gather(
                    loop_ref.run_in_executor(None, read_file_sync, stdout_path),
                    loop_ref.run_in_executor(None, read_file_sync, stderr_path),
                )

```
</issue_to_address>

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Comment thread scripts/host_agy_daemon.py
@sheepdestroyer
sheepdestroyer force-pushed the perf-agy-daemon-4584072379610792482 branch from 893c8f0 to 4f2b6ea Compare July 24, 2026 10:35
google-labs-jules Bot and others added 2 commits July 24, 2026 12:42
Co-authored-by: sheepdestroyer <1377479+sheepdestroyer@users.noreply.github.com>
@sheepdestroyer
sheepdestroyer force-pushed the perf-agy-daemon-4584072379610792482 branch from b38b9f8 to 711cc9a Compare July 24, 2026 10:42
@sheepdestroyer
sheepdestroyer merged commit da14ac0 into master Jul 24, 2026
8 checks passed
@sheepdestroyer
sheepdestroyer deleted the perf-agy-daemon-4584072379610792482 branch July 24, 2026 10:43
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