Registry / llm-agents / unclecode-litellm

unclecode-litellm

library1.81.13pypypi✓ verified 84d ago

A pre-compromise fork of the original LiteLLM, providing a unified interface to call 100+ LLM providers (OpenAI, Anthropic, Cohere, Azure, Bedrock, etc.) with standardized input/output formats. Current version 1.81.13, actively maintained with monthly releases.

llm-agents ai-ml http-networking aws gcp azure

pip install unclecode-litellm

github ↗package ↗homepage ↗

INSTALL

IMPORT

SIG · UNCLECODE-LITELLM

unclecode-litellm

llm-agentspythonv1.81.13

Install

16.1s avg

Import

6928ms

Disk

208MB

Pass rate

10/ 10

Env Coverage10 / 10

glibc

3.9–3.13

musl

3.9–3.13

Install & Compatibility

Where this runs

tested against v1.81.13 · 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 7.140s · 211.5MB

glibc

py 3.10–3.95 runs

installs and imports cleanly · install 16.1s · import 6.716s · 194MB

208MB installed

● package 208MB

Code

Verified usage

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

✓ import litellm

✗ from unclecode import litellm

The fork preserves the same top-level package name 'litellm' as the original.

completion

✓ from litellm import completion

✗ from litellm import completions

Function is singular 'completion', not 'completions'.

Call any provider by changing the model string (e.g., 'claude-2', 'command-nightly').

import litellm response = litellm.completion( model="gpt-4", messages=[{"role": "user", "content": "Hello world"}], api_key=os.environ.get("OPENAI_API_KEY", ""), ) print(response.choices[0].message.content)

litellm --version

Debug

Known issues

gotchaEnvironment variable LITELLM_LOG controls logging level. Not setting it may result in excessive debug output.

fix

Set os.environ['LITELLM_LOG'] = 'WARN' before importing litellm.

affects: >=1.0.0

breakingThis fork changed the default timeout from 600s to 60s. Some long-running completions may fail with timeout.

fix

Pass request_timeout=600 to completion() or set litellm.request_timeout = 600.

affects: >=1.0.0

deprecatedThe 'litellm.set_verbose' method is deprecated. Use 'litellm._turn_on_debug()' or set LITELLM_LOG=DEBUG.

fix

Use litellm._turn_on_debug() or set environment variable LITELLM_LOG=DEBUG.

affects: >=1.40.0

gotchaAnthropic models default to a max_tokens of 256. Many users expect 4096 or higher.

fix

Always set max_tokens=1024 (or desired value) when using Anthropic models.

affects: >=1.0.0

Errors

Common errors & fixes

ModuleNotFoundError: No module named 'litellm'

Installed the fork under the name 'unclecode-litellm' but importing as 'unclecode_litellm' or not installing at all.

fix

Run 'pip install unclecode-litellm' and import as 'import litellm' (package name is 'litellm').

openai.RateLimitError: You exceeded your current quota

API key missing or insufficient quota. The fork does not wrap rate limit errors differently.

fix

Verify API key is set and has credits. Use litellm.utils.RateLimitError for catching.

AttributeError: module 'litellm' has no attribute 'completion'

Unclecode fork removed some aliases. Use litellm.litellm_core.completion?

fix

Import directly with 'from litellm import completion' or call litellm.completion (standard path works).

Upgrade

Version history

1.81.13latest on PyPI · released Mar 24, 2026

Audit

Dependencies

No dependency data recorded yet.

Agent activity

56 hits · last 30 days

node

OpenAI (training)

Resources

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

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

homepagehttps://litellm.ai ↗