tiennm99/litellm
1
0
Fork 0
mirror of https://github.com/tiennm99/litellm.git synced 2026-08-18 08:25:10 +00:00
Code Issues Packages Projects Releases Wiki Activity

docs cleanup

Browse Source
This commit is contained in:
Ishaan Jaff
2025-06-07 17:22:40 -07:00
parent 4fc92244b5
commit 6f6f9bf58e
1 changed files with 2 additions and 77 deletions
Download Patch File Download Diff File Expand all files Collapse all files
docs/my-website/docs/anthropic_unified.md
+2 -77
View File
@@ -90,44 +90,7 @@ async for chunk in response:
</TabItem>
<TabItem value="o1-pro" label="OpenAI o1-pro">
#### Non-streaming example
```python showLineNumbers title="OpenAI o1-pro Example using LiteLLM Python SDK"
import litellm
import os
# Set API key
os.environ["OPENAI_API_KEY"] = "your-openai-api-key"
response = await litellm.anthropic.messages.acreate(
messages=[{"role": "user", "content": "Solve this math problem: What is the derivative of x^3 + 2x^2 - 5x + 1?"}],
model="openai/o1-pro",
max_tokens=500,
)
```
#### Streaming example
```python showLineNumbers title="OpenAI o1-pro Streaming Example using LiteLLM Python SDK"
import litellm
import os
# Set API key
os.environ["OPENAI_API_KEY"] = "your-openai-api-key"
response = await litellm.anthropic.messages.acreate(
messages=[{"role": "user", "content": "Solve this math problem: What is the derivative of x^3 + 2x^2 - 5x + 1?"}],
model="openai/o1-pro",
max_tokens=500,
stream=True,
)
async for chunk in response:
print(chunk)
```
</TabItem>
<TabItem value="gemini" label="Google Gemini">
<TabItem value="gemini" label="Google AI Studio">
#### Non-streaming example
```python showLineNumbers title="Google Gemini Example using LiteLLM Python SDK"
@@ -350,45 +313,7 @@ response = client.messages.create(
</TabItem>
<TabItem value="o1-pro-proxy" label="OpenAI o1-pro">
1. Setup config.yaml
```yaml
model_list:
- model_name: openai-o1-pro
litellm_params:
model: openai/o1-pro
api_key: os.environ/OPENAI_API_KEY
```
2. Start proxy
```bash
litellm --config /path/to/config.yaml
```
3. Test it!
```python showLineNumbers title="OpenAI o1-pro Example using LiteLLM Proxy Server"
import anthropic
# point anthropic sdk to litellm proxy
client = anthropic.Anthropic(
base_url="http://0.0.0.0:4000",
api_key="sk-1234",
)
response = client.messages.create(
messages=[{"role": "user", "content": "Solve this math problem: What is the derivative of x^3 + 2x^2 - 5x + 1?"}],
model="openai-o1-pro",
max_tokens=500,
)
```
</TabItem>
<TabItem value="gemini-proxy" label="Google Gemini">
<TabItem value="gemini-proxy" label="Google AI Studio">
1. Setup config.yaml