Google Gemini

pip install meshai-sdk[gemini]

from meshai import MeshAI
from meshai.integrations.gemini import wrap_gemini
from google import genai

client = MeshAI(api_key="msh_...", agent_name="my-agent")
client.register(framework="custom", model_provider="google")

# Wrap the Gemini client
gem = wrap_gemini(genai.Client(), meshai=client)

# Use as normal, all calls auto-tracked
response = gem.models.generate_content(
    model="gemini-2.0-flash",
    contents="Hello",
)
# Model, input/output tokens captured automatically

# Works with different models too:
response = gem.models.generate_content(
    model="gemini-2.5-pro",
    contents="Explain AI governance",
)

https://proxy.meshai.dev/v1/vertex/k/msh_YOUR_PROXY_KEY/{location}/{project}/publishers/google/models/{model}:generateContent

https://proxy.meshai.dev/v1/vertex/k/msh_YOUR_PROXY_KEY/us-central1/my-project/publishers/google/models/gemini-2.0-flash:generateContent