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feat: support configuring api_key and api_base via environment variables #9484

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feat: support configuring api_key and api_base via environment variables #9484

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20 changes: 20 additions & 0 deletions README.md
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Expand Up @@ -114,6 +114,26 @@ print(response)

Call any model supported by a provider, with `model=<provider_name>/<model_name>`. There might be provider-specific details here, so refer to [provider docs for more information](https://docs.litellm.ai/docs/providers)

## Environment Variable Configuration

You can now configure LiteLLM using environment variables:

| Variable | Description |
| ------------------ | ------------------------------------------------ |
| `LITELLM_API_KEY` | Used as the default value for `litellm.api_key` |
| `LITELLM_API_BASE` | Used as the default value for `litellm.api_base` |

If not explicitly set in code, these values will be automatically picked up:

```python
import litellm

print(litellm.api_key) # Will output the value from LITELLM_API_KEY if not manually set
print(litellm.api_base) # Will output the value from LITELLM_API_BASE if not manually set
```

This is helpful when running LiteLLM in CI/CD pipelines, containerized environments, or local `.env` setups.

## Async ([Docs](https://docs.litellm.ai/docs/completion/stream#async-completion))

```python
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4 changes: 2 additions & 2 deletions litellm/__init__.py
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Expand Up @@ -157,7 +157,7 @@
modify_params = False
retry = True
### AUTH ###
api_key: Optional[str] = None
api_key: Optional[str] = os.getenv("LITELLM_API_KEY", None)
openai_key: Optional[str] = None
groq_key: Optional[str] = None
databricks_key: Optional[str] = None
Expand Down Expand Up @@ -333,7 +333,7 @@ def identify(event_details):


####### ADDITIONAL PARAMS ################### configurable params if you use proxy models like Helicone, map spend to org id, etc.
api_base: Optional[str] = None
api_base: Optional[str] = os.getenv("LITELLM_API_BASE", None)
headers = None
api_version = None
organization = None
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