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docs(gemini.md): show how to call google search via litellm

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Addresses https://github.com/BerriAI/litellm/issues/361#issuecomment-2787497217
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Krrish Dholakia 2025-04-08 16:41:20 -07:00
parent c403dfb615
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docs/my-website/docs/providers/gemini.md
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@ -438,6 +438,179 @@ assert isinstance(
```
### Google Search Tool
<Tabs>
<TabItem value="sdk" label="SDK">
```python
from litellm import completion
import os
os.environ["GEMINI_API_KEY"] = ".."
tools = [{"googleSearch": {}}] # 👈 ADD GOOGLE SEARCH
response = completion(
model="gemini/gemini-2.0-flash",
messages=[{"role": "user", "content": "What is the weather in San Francisco?"}],
tools=tools,
)
print(response)
```
</TabItem>
<TabItem value="proxy" label="PROXY">
1. Setup config.yaml
```yaml
model_list:
- model_name: gemini-2.0-flash
litellm_params:
model: gemini/gemini-2.0-flash
api_key: os.environ/GEMINI_API_KEY
```
2. Start Proxy
```bash
$ litellm --config /path/to/config.yaml
```
3. Make Request!
```bash
curl -X POST 'http://0.0.0.0:4000/chat/completions' \
-H 'Content-Type: application/json' \
-H 'Authorization: Bearer sk-1234' \
-d '{
"model": "gemini-2.0-flash",
"messages": [{"role": "user", "content": "What is the weather in San Francisco?"}],
"tools": [{"googleSearch": {}}]
}
'
```
</TabItem>
</Tabs>
### Google Search Retrieval
<Tabs>
<TabItem value="sdk" label="SDK">
```python
from litellm import completion
import os
os.environ["GEMINI_API_KEY"] = ".."
tools = [{"googleSearchRetrieval": {}}] # 👈 ADD GOOGLE SEARCH
response = completion(
model="gemini/gemini-2.0-flash",
messages=[{"role": "user", "content": "What is the weather in San Francisco?"}],
tools=tools,
)
print(response)
```
</TabItem>
<TabItem value="proxy" label="PROXY">
1. Setup config.yaml
```yaml
model_list:
- model_name: gemini-2.0-flash
litellm_params:
model: gemini/gemini-2.0-flash
api_key: os.environ/GEMINI_API_KEY
```
2. Start Proxy
```bash
$ litellm --config /path/to/config.yaml
```
3. Make Request!
```bash
curl -X POST 'http://0.0.0.0:4000/chat/completions' \
-H 'Content-Type: application/json' \
-H 'Authorization: Bearer sk-1234' \
-d '{
"model": "gemini-2.0-flash",
"messages": [{"role": "user", "content": "What is the weather in San Francisco?"}],
"tools": [{"googleSearchRetrieval": {}}]
}
'
```
</TabItem>
</Tabs>
### Code Execution Tool
<Tabs>
<TabItem value="sdk" label="SDK">
```python
from litellm import completion
import os
os.environ["GEMINI_API_KEY"] = ".."
tools = [{"codeExecution": {}}] # 👈 ADD GOOGLE SEARCH
response = completion(
model="gemini/gemini-2.0-flash",
messages=[{"role": "user", "content": "What is the weather in San Francisco?"}],
tools=tools,
)
print(response)
```
</TabItem>
<TabItem value="proxy" label="PROXY">
1. Setup config.yaml
```yaml
model_list:
- model_name: gemini-2.0-flash
litellm_params:
model: gemini/gemini-2.0-flash
api_key: os.environ/GEMINI_API_KEY
```
2. Start Proxy
```bash
$ litellm --config /path/to/config.yaml
```
3. Make Request!
```bash
curl -X POST 'http://0.0.0.0:4000/chat/completions' \
-H 'Content-Type: application/json' \
-H 'Authorization: Bearer sk-1234' \
-d '{
"model": "gemini-2.0-flash",
"messages": [{"role": "user", "content": "What is the weather in San Francisco?"}],
"tools": [{"codeExecution": {}}]
}
'
```
</TabItem>
</Tabs>
## JSON Mode
<Tabs>