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update litellm to support o3-mini and deepseek. Update docs.

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Brandon Hancock
2025-02-04 10:58:34 -05:00
parent 23b9e10323
commit 748383d74c
9 changed files with 500 additions and 10 deletions
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29
docs/concepts/llms.mdx
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@@ -38,6 +38,7 @@ Here's a detailed breakdown of supported models and their capabilities, you can
| GPT-4 | 8,192 tokens | High-accuracy tasks, complex reasoning |
| GPT-4 Turbo | 128,000 tokens | Long-form content, document analysis |
| GPT-4o & GPT-4o-mini | 128,000 tokens | Cost-effective large context processing |
| o3-mini | 200,000 tokens | Fast reasoning, complex reasoning |
<Note>
1 token ≈ 4 characters in English. For example, 8,192 tokens ≈ 32,768 characters or about 6,000 words.
@@ -162,7 +163,8 @@ Here's a detailed breakdown of supported models and their capabilities, you can
<Tab title="Others">
| Provider | Context Window | Key Features |
|----------|---------------|--------------|
| Deepseek Chat | 128,000 tokens | Specialized in technical discussions |
| Deepseek Chat | 64,000 tokens | Specialized in technical discussions |
| Deepseek R1 | 64,000 tokens | Affordable reasoning model |
| Claude 3 | Up to 200K tokens | Strong reasoning, code understanding |
| Gemma Series | 8,192 tokens | Efficient, smaller-scale tasks |
@@ -296,6 +298,10 @@ There are three ways to configure LLMs in CrewAI. Choose the method that best fi
# llm: sambanova/Meta-Llama-3.1-8B-Instruct
# llm: sambanova/BioMistral-7B
# llm: sambanova/Falcon-180B
# Open Router Models - Affordable reasoning
# llm: openrouter/deepseek/deepseek-r1
# llm: openrouter/deepseek/deepseek-chat
```
<Info>
@@ -691,6 +697,27 @@ Learn how to get the most out of your LLM configuration:
- Support for long context windows
</Info>
</Accordion>
<Accordion title="Open Router">
```python Code
OPENROUTER_API_KEY=<your-api-key>
```
Example usage:
```python Code
llm = LLM(
model="openrouter/deepseek/deepseek-r1",
base_url="https://openrouter.ai/api/v1",
api_key=OPENROUTER_API_KEY
)
```
<Info>
Open Router models:
- openrouter/deepseek/deepseek-r1
- openrouter/deepseek/deepseek-chat
</Info>
</Accordion>
</AccordionGroup>
## Common Issues and Solutions

2
pyproject.toml
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@@ -11,7 +11,7 @@ dependencies = [
# Core Dependencies
"pydantic>=2.4.2",
"openai>=1.13.3",
"litellm==1.59.8",
"litellm==1.60.2",
"instructor>=1.3.3",
# Text Processing
"pdfplumber>=0.11.4",

5
src/crewai/llm.py
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@@ -5,7 +5,7 @@ import sys
import threading
import warnings
from contextlib import contextmanager
from typing import Any, Dict, List, Optional, Union, cast
from typing import Any, Dict, List, Literal, Optional, Union, cast
from dotenv import load_dotenv
@@ -137,6 +137,7 @@ class LLM:
api_version: Optional[str] = None,
api_key: Optional[str] = None,
callbacks: List[Any] = [],
reasoning_effort: Optional[Literal["none", "low", "medium", "high"]] = None,
**kwargs,
):
self.model = model
@@ -159,6 +160,7 @@ class LLM:
self.api_key = api_key
self.callbacks = callbacks
self.context_window_size = 0
self.reasoning_effort = reasoning_effort
self.additional_params = kwargs
litellm.drop_params = True
@@ -242,6 +244,7 @@ class LLM:
"api_key": self.api_key,
"stream": False,
"tools": tools,
"reasoning_effort": self.reasoning_effort,
**self.additional_params,
}

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tests/llm_test.py
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import os
from time import sleep
from unittest.mock import MagicMock, patch
@@ -202,3 +203,51 @@ def test_llm_passes_additional_params():
# Check the result from llm.call
assert result == "Test response"
@pytest.mark.vcr(filter_headers=["authorization"])
def test_o3_mini_reasoning_effort_high():
llm = LLM(
model="o3-mini",
reasoning_effort="high",
)
result = llm.call("What is the capital of France?")
assert isinstance(result, str)
assert "Paris" in result
@pytest.mark.vcr(filter_headers=["authorization"])
def test_o3_mini_reasoning_effort_low():
llm = LLM(
model="o3-mini",
reasoning_effort="low",
)
result = llm.call("What is the capital of France?")
assert isinstance(result, str)
assert "Paris" in result
@pytest.mark.vcr(filter_headers=["authorization"])
def test_o3_mini_reasoning_effort_medium():
llm = LLM(
model="o3-mini",
reasoning_effort="medium",
)
result = llm.call("What is the capital of France?")
assert isinstance(result, str)
assert "Paris" in result
@pytest.mark.vcr(filter_headers=["authorization"])
def test_deepseek_r1_with_open_router():
if not os.getenv("OPEN_ROUTER_API_KEY"):
pytest.skip("OPEN_ROUTER_API_KEY not set; skipping test.")
llm = LLM(
model="openrouter/deepseek/deepseek-r1",
base_url="https://openrouter.ai/api/v1",
api_key=os.getenv("OPEN_ROUTER_API_KEY"),
)
result = llm.call("What is the capital of France?")
assert isinstance(result, str)
assert "Paris" in result

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