andre/crewAI
1
0
Fork 0
mirror of https://github.com/crewAIInc/crewAI.git synced 2026-01-09 16:18:30 +00:00
Code Issues Actions 1 Packages Projects Releases Wiki Activity

Fix indentation in llm-connections.mdx code block (#1573)

Browse Source 
Co-authored-by: Brandon Hancock (bhancock_ai) <109994880+bhancockio@users.noreply.github.com>
This commit is contained in:
Feynman Liang
2024-12-03 09:52:23 -08:00
committed by GitHub
parent b2a0bec3f6
commit 04cbf10a78
1 changed files with 5 additions and 5 deletions
Download Patch File Download Diff File Expand all files Collapse all files

10
docs/how-to/llm-connections.mdx
View File

@@ -125,10 +125,10 @@ You can connect to OpenAI-compatible LLMs using either environment variables or
</Tab>
<Tab title="Using LLM Class Attributes">
<CodeGroup>
```python Code
llm = LLM(
model="custom-model-name",
api_key="your-api-key",
```python Code
llm = LLM(
model="custom-model-name",
api_key="your-api-key",
base_url="https://api.your-provider.com/v1"
)
agent = Agent(llm=llm, ...)
@@ -179,4 +179,4 @@ This is particularly useful when working with OpenAI-compatible APIs or when you
## Conclusion
By leveraging LiteLLM, CrewAI offers seamless integration with a vast array of LLMs. This flexibility allows you to choose the most suitable model for your specific needs, whether you prioritize performance, cost-efficiency, or local deployment. Remember to consult the [LiteLLM documentation](https://docs.litellm.ai/docs/) for the most up-to-date information on supported models and configuration options.
By leveraging LiteLLM, CrewAI offers seamless integration with a vast array of LLMs. This flexibility allows you to choose the most suitable model for your specific needs, whether you prioritize performance, cost-efficiency, or local deployment. Remember to consult the [LiteLLM documentation](https://docs.litellm.ai/docs/) for the most up-to-date information on supported models and configuration options.