Registry / llm-agents / litellm-enterprise

litellm-enterprise

library0.1.62pypypi✓ verified 22d ago

LiteLLM Enterprise is a Python package designed to provide enterprise-grade features and functionality on top of the core LiteLLM library. It currently wraps and re-exports much of the base LiteLLM functionality. The package is at version 0.1.37 and appears to be in an early development stage, with its release cadence likely tied to the rapidly evolving LiteLLM ecosystem.

llm-agents ai-ml

pip install litellm-enterprise

github ↗package ↗homepage ↗docs ↗

INSTALL

IMPORT

SIG · LITELLM-ENTERPRISE

litellm-enterprise

llm-agentspythonv0.1.62

Install

1.6s avg

Import

—

Disk

17MB

Pass rate

10/ 10

Env Coverage10 / 10

glibc

3.9–3.13

musl

3.9–3.13

Install & Compatibility

Where this runs

tested against v0.1.62 · pip install

no network on importno background threads

Install × environment matrix

Each cell = how many times install + import succeeded across repeated harness runs. Partial = flaky.
glibc = Debian/Ubuntu slim · musl = Alpine Linux

musl

py 3.10–3.95 runs

installs and imports cleanly · install 0.0s · import 0.000s · 19.4MB

glibc

py 3.10–3.95 runs

installs and imports cleanly · install 1.6s · import 0.000s · 20MB

17MB installed

● package 17MB

Code

Verified usage

Verified import paths — ran on the pinned version, not inferred.

completion

✓ from litellm_enterprise import completion

✗ from litellm_enterprise import completion

This quickstart demonstrates a basic LLM completion call using the `litellm_enterprise` package. Ensure `OPENAI_API_KEY` is set in your environment. The functionality mirrors that of the core `litellm` package due to its re-export mechanism.

import os from litellm_enterprise import completion os.environ['OPENAI_API_KEY'] = os.environ.get('OPENAI_API_KEY', 'sk-your-openai-key') try: response = completion( model="gpt-3.5-turbo", messages=[{"role": "user", "content": "What is LiteLLM?"}] ) print(response.choices[0].message.content) except Exception as e: print(f"An error occurred: {e}")

Debug

Known issues

gotchaThe `litellm-enterprise` package's `__init__.py` re-exports all symbols directly from the core `litellm` library. This means that `from litellm_enterprise import X` is functionally identical to `from litellm import X` for most symbols. This can lead to confusion regarding the package's distinct functionality.

fix

Be aware that most functionality currently mirrors `litellm`. While using `litellm_enterprise` imports is good practice for explicit intent, refer to `litellm` documentation for specific function behaviors.

affects: 0.1.x

gotchaDedicated documentation for features unique to `litellm-enterprise` is currently scarce. Users will primarily need to refer to the comprehensive documentation of the main `litellm` library for usage patterns and API details.

fix

Consult the main LiteLLM GitHub repository and documentation for details on core functionality. Look for discussions or examples related to 'enterprise' features within the broader LiteLLM ecosystem.

affects: 0.1.x

gotchaThe version number of `litellm-enterprise` (0.1.x) is significantly lower than the `1.x.x` versions of the main `litellm` library. This disparity might indicate an early-stage project, potential API instability, or a different release cadence, which could impact expectations for production readiness.

fix

Exercise caution when relying on `litellm-enterprise` for critical production systems, and monitor its development closely. Test thoroughly for compatibility with specific `litellm` versions.

affects: 0.1.x

gotchaWhile named 'enterprise', specific enterprise features like Role-Based Access Control (RBAC), advanced logging, or custom integrations often manifest through the LiteLLM Proxy or specific server configurations, rather than being solely exposed or enabled by this Python package directly. The package primarily facilitates accessing the underlying LiteLLM functionality.

fix

Investigate LiteLLM Proxy documentation and deployment options if looking for comprehensive enterprise-level management and features. This package may serve as a client-side component.

affects: 0.1.x

Upgrade

Version history

0.1.62latest on PyPI · released Aug 30, 2026

Audit

Dependencies

litellmrequiredThis package is a wrapper around the core LiteLLM library and re-exports its symbols.

Agent activity

30 hits · last 30 days

node

OpenAI (training)

Resources

githubhttps://github.com/BerriAI/litellm ↗

packagehttps://pypi.org/project/litellm-enterprise/ ↗

homepagehttps://litellm.ai ↗

docshttps://docs.litellm.ai ↗