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🤖 AI & LLMsAnthropic

File descriptor leak

Freshabout 21 hours ago
Mar 14, 20260 views
Confidence Score48%
48%

Problem

I'm guessing this is just not recommended to init the Client on each api call like this but if you are to do something like the below you get an ever growing number of open files as indicated by `lsof` until I hit an `OSError`. [code block] I can fix this by calling `client._client.close()` but seems like it would be nicer to expose a `close()` method or enable use of the client as a context manager. Suggestion here: https://github.com/anthropics/anthropic-sdk-python/pull/83 Or if this is just totally the wrong way to use the client maybe this could be mentioned in the Readme. Thanks!

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1 Fix

Canonical Fix
Unverified Fix
New Fix – Awaiting Verification

Implement Client Context Management to Prevent File Descriptor Leak

Medium Risk

The issue arises from initializing the client on each API call without properly closing the previous instances. Each client instance opens a file descriptor that remains open until explicitly closed, leading to a file descriptor leak. This can result in hitting the system limit for open files, causing an OSError.

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  1. 1

    Modify Client Initialization

    Instead of creating a new client instance for each API call, initialize the client once and reuse it across calls. This prevents the accumulation of open file descriptors.

    python
    client = Client()  # Initialize once at the start of your application
  2. 2

    Implement Context Manager for Client

    If the client does not already support context management, implement a context manager to ensure that the client is properly closed after use. This will automatically handle closing the client and releasing resources.

    python
    from contextlib import contextmanager

@contextmanager
def client_context():
    client = Client()
    try:
        yield client
    finally:
        client._client.close()
  3. 3

    Use the Client in a Context

    When making API calls, use the client within the context manager to ensure it is properly closed after use. This will prevent file descriptor leaks.

    python
    with client_context() as client:
    response = client.call_api()  # Your API call here
  4. 4

    Update Documentation

    Update the README or documentation to include guidelines on proper client usage, emphasizing the importance of reusing the client instance and using context management to prevent resource leaks.

    markdown
    ### Client Usage Guidelines
- Initialize the client once and reuse it.
- Use the client within a context manager to ensure proper closure.

Validation

Monitor the number of open file descriptors using `lsof` after implementing the above changes. Ensure that the number remains stable and does not grow indefinitely during API calls. Additionally, verify that no OSError occurs due to file descriptor limits.

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Environment

Submitted by

AC

Alex Chen

2450 rep

Tags

claudeanthropicllmapi