litellm - 💡(How to fix) Fix [Bug] UI very slow in version 1.82.x [5 comments, 5 participants]

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BerriAI/litellm#23005Fetched 2026-04-08 00:38:55
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Bug Description

The LiteLLM UI is extremely slow in version 1.82.x. The interface takes a long time to load and respond to user interactions.

Steps to Reproduce

  1. Install LiteLLM version 1.82.x
  2. Access the UI (localhost:4000 or configured URL)
  3. Observe slow loading times and sluggish interface

Expected Behavior

The UI should be responsive and load quickly, similar to earlier versions.

Actual Behavior

The UI is very slow - pages take a long time to load and interactions are sluggish.

Environment

  • LiteLLM Version: 1.82.x
  • Installation method: [pip/docker]
  • OS: [your OS]

Relevant Issues

This may be related to:

  • Issue #19921: Performance regression in 1.81.x (UI + API slowness)
  • Issue #6345: Performance degradation over time

Additional Context

Please see related issues for more context on performance issues in recent versions.

extent analysis

Fix Plan

To address the slow LiteLLM UI in version 1.82.x, we will focus on optimizing the UI loading process and improving responsiveness.

  • Optimize Database Queries: Ensure that database queries are efficient and not causing bottlenecks.
  • Implement Caching: Cache frequently accessed data to reduce the load on the database and improve response times.
  • Optimize Frontend Code: Minify and compress frontend code to reduce the size of assets and improve loading times.

Example Code

To implement caching, you can use a library like Redis. Here's an example using Python and the redis library:

import redis

# Create a Redis client
redis_client = redis.Redis(host='localhost', port=6379, db=0)

# Cache a value
def cache_value(key, value):
    redis_client.set(key, value)

# Get a cached value
def get_cached_value(key):
    return redis_client.get(key)

# Example usage:
cache_value('ui_data', 'some_data')
print(get_cached_value('ui_data'))

Verification

To verify that the fix worked, monitor the UI loading times and responsiveness after implementing the optimizations. You can use tools like browser developer tools or monitoring software to track performance metrics.

Extra Tips

  • Regularly review and optimize database queries to prevent performance regressions.
  • Consider using a caching layer like Redis or Memcached to improve performance.
  • Use a code minifier and compressor to reduce the size of frontend assets.

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