Google AI Studio

Pass-through endpoints for Google AI Studio - call provider-specific endpoint, in native format (no translation).

Just replace https://generativelanguage.googleapis.com with LITELLM_PROXY_BASE_URL/gemini 🚀

Example Usage

http://0.0.0.0:4000/gemini/v1beta/models/gemini-1.5-flash:countTokens?key=sk-anything' \
-H 'Content-Type: application/json' \
-d '{
    "contents": [{
        "parts":[{
          "text": "The quick brown fox jumps over the lazy dog."
          }]
        }]
}'

Supports ALL Google AI Studio Endpoints (including streaming).

See All Google AI Studio Endpoints

Quick Start

Let's call the Gemini /countTokens endpoint

1. Add Gemini API Key to your environment

export GEMINI_API_KEY=""

2. Start LiteLLM Proxy

litellm

# RUNNING on http://0.0.0.0:4000

3. Test it!

Let's call the Google AI Studio token counting endpoint

http://0.0.0.0:4000/gemini/v1beta/models/gemini-1.5-flash:countTokens?key=anything' \
-H 'Content-Type: application/json' \
-d '{
    "contents": [{
        "parts":[{
          "text": "The quick brown fox jumps over the lazy dog."
          }]
        }]
}'

Examples

Anything after http://0.0.0.0:4000/gemini is treated as a provider-specific route, and handled accordingly.

Key Changes:

Original Endpoint	Replace With
https://generativelanguage.googleapis.com	http://0.0.0.0:4000/gemini (LITELLM_PROXY_BASE_URL="http://0.0.0.0:4000")
key=$GOOGLE_API_KEY	key=anything (use key=LITELLM_VIRTUAL_KEY if Virtual Keys are setup on proxy)

Example 1: Counting tokens

LiteLLM Proxy Call

curl http://0.0.0.0:4000/gemini/v1beta/models/gemini-1.5-flash:countTokens?key=anything \
    -H 'Content-Type: application/json' \
    -X POST \
    -d '{
      "contents": [{
        "parts":[{
          "text": "The quick brown fox jumps over the lazy dog."
          }],
        }],
      }'

Direct Google AI Studio Call

curl https://generativelanguage.googleapis.com/v1beta/models/gemini-1.5-flash:countTokens?key=$GOOGLE_API_KEY \
    -H 'Content-Type: application/json' \
    -X POST \
    -d '{
      "contents": [{
        "parts":[{
          "text": "The quick brown fox jumps over the lazy dog."
          }],
        }],
      }'

Example 2: Generate content

LiteLLM Proxy Call

curl "http://0.0.0.0:4000/gemini/v1beta/models/gemini-1.5-flash:generateContent?key=anything" \
    -H 'Content-Type: application/json' \
    -X POST \
    -d '{
      "contents": [{
        "parts":[{"text": "Write a story about a magic backpack."}]
        }]
       }' 2> /dev/null

Direct Google AI Studio Call

curl "https://generativelanguage.googleapis.com/v1beta/models/gemini-1.5-flash:generateContent?key=$GOOGLE_API_KEY" \
    -H 'Content-Type: application/json' \
    -X POST \
    -d '{
      "contents": [{
        "parts":[{"text": "Write a story about a magic backpack."}]
        }]
       }' 2> /dev/null

Example 3: Caching

curl -X POST "http://0.0.0.0:4000/gemini/v1beta/models/gemini-1.5-flash-001:generateContent?key=anything" \
-H 'Content-Type: application/json' \
-d '{
      "contents": [
        {
          "parts":[{
            "text": "Please summarize this transcript"
          }],
          "role": "user"
        },
      ],
      "cachedContent": "'$CACHE_NAME'"
    }'

Direct Google AI Studio Call

curl -X POST "https://generativelanguage.googleapis.com/v1beta/models/gemini-1.5-flash-001:generateContent?key=$GOOGLE_API_KEY" \
-H 'Content-Type: application/json' \
-d '{
      "contents": [
        {
          "parts":[{
            "text": "Please summarize this transcript"
          }],
          "role": "user"
        },
      ],
      "cachedContent": "'$CACHE_NAME'"
    }'

Advanced - Use with Virtual Keys

Pre-requisites

• Setup proxy with DB

Use this, to avoid giving developers the raw Google AI Studio key, but still letting them use Google AI Studio endpoints.

Usage

1. Setup environment

export DATABASE_URL=""
export LITELLM_MASTER_KEY=""
export GEMINI_API_KEY=""

litellm

# RUNNING on http://0.0.0.0:4000

2. Generate virtual key

curl -X POST 'http://0.0.0.0:4000/key/generate' \
-H 'Authorization: Bearer sk-1234' \
-H 'Content-Type: application/json' \
-d '{}'

Expected Response

{
    ...
    "key": "sk-1234ewknldferwedojwojw"
}

3. Test it!

http://0.0.0.0:4000/gemini/v1beta/models/gemini-1.5-flash:countTokens?key=sk-1234ewknldferwedojwojw' \
-H 'Content-Type: application/json' \
-d '{
    "contents": [{
        "parts":[{
          "text": "The quick brown fox jumps over the lazy dog."
          }]
        }]
}'