|
| 1 | +--- |
| 2 | +title: "AI Gateway: Google ADK" |
| 3 | +description: "Route Google ADK model calls through the Logfire AI Gateway." |
| 4 | +--- |
| 5 | + |
| 6 | +# Google ADK |
| 7 | + |
| 8 | +[Google Agent Development Kit (ADK)](https://adk.dev/) is Google's framework for building multi-step, multi-agent AI systems. To route its model calls through the Logfire AI Gateway, set `LOGFIRE_GATEWAY_API_KEY` to a key from the Gateway **API Keys** tab. The Python example routes calls via LiteLLM (a library that translates between LLM provider APIs); the Go example connects directly to the gateway's Google Vertex proxy. |
| 9 | + |
| 10 | +## Python |
| 11 | + |
| 12 | +```python title="google-adk-gateway.py" skip-run="true" skip-reason="external-connection" |
| 13 | +import asyncio |
| 14 | +import os |
| 15 | + |
| 16 | +from google.adk.agents import LlmAgent |
| 17 | +from google.adk.models.lite_llm import LiteLlm |
| 18 | +from google.adk.runners import InMemoryRunner |
| 19 | +from google.genai import types |
| 20 | + |
| 21 | +os.environ["OPENAI_API_KEY"] = os.environ["LOGFIRE_GATEWAY_API_KEY"] |
| 22 | +os.environ["OPENAI_BASE_URL"] = "https://gateway-us.pydantic.dev/proxy/openai" |
| 23 | + |
| 24 | +agent = LlmAgent( |
| 25 | + model=LiteLlm(model="openai/gpt-5.4-mini"), |
| 26 | + name="weather_agent", |
| 27 | + instruction="You are a concise weather assistant.", |
| 28 | +) |
| 29 | + |
| 30 | + |
| 31 | +async def main() -> None: |
| 32 | + runner = InMemoryRunner(agent=agent) |
| 33 | + session = await runner.session_service.create_session( |
| 34 | + app_name=runner.app_name, |
| 35 | + user_id="gateway-example-user", |
| 36 | + ) |
| 37 | + content = types.Content( |
| 38 | + role="user", |
| 39 | + parts=[types.Part.from_text(text="What is the weather in London?")], |
| 40 | + ) |
| 41 | + async for event in runner.run_async( |
| 42 | + user_id=session.user_id, |
| 43 | + session_id=session.id, |
| 44 | + new_message=content, |
| 45 | + ): |
| 46 | + if event.is_final_response() and event.content and event.content.parts: |
| 47 | + print(event.content.parts[0].text) |
| 48 | + |
| 49 | + |
| 50 | +if __name__ == "__main__": |
| 51 | + asyncio.run(main()) |
| 52 | +``` |
| 53 | + |
| 54 | +## Go |
| 55 | + |
| 56 | +The Go example routes Google Vertex model calls through `https://gateway-us.pydantic.dev/proxy/google-vertex` |
| 57 | +and uses `gemini-2.5-flash`. |
| 58 | + |
| 59 | +```go title="google-adk-gateway.go" skip-run="true" skip-reason="external-connection" |
| 60 | +package main |
| 61 | + |
| 62 | +import ( |
| 63 | + "context" |
| 64 | + "fmt" |
| 65 | + "log" |
| 66 | + "net/http" |
| 67 | + "os" |
| 68 | + "time" |
| 69 | + |
| 70 | + adkmodel "google.golang.org/adk/v2/model" |
| 71 | + "google.golang.org/adk/v2/model/gemini" |
| 72 | + "google.golang.org/genai" |
| 73 | +) |
| 74 | + |
| 75 | +func main() { |
| 76 | + apiKey := os.Getenv("LOGFIRE_GATEWAY_API_KEY") |
| 77 | + if apiKey == "" { |
| 78 | + log.Fatal("LOGFIRE_GATEWAY_API_KEY is required") |
| 79 | + } |
| 80 | + |
| 81 | + ctx, cancel := context.WithTimeout(context.Background(), 60*time.Second) |
| 82 | + defer cancel() |
| 83 | + |
| 84 | + model, err := gemini.NewModel(ctx, "gemini-2.5-flash", &genai.ClientConfig{ |
| 85 | + Backend: genai.BackendVertexAI, |
| 86 | + HTTPOptions: genai.HTTPOptions{ |
| 87 | + BaseURL: "https://gateway-us.pydantic.dev/proxy/google-vertex", |
| 88 | + Headers: http.Header{ |
| 89 | + "Authorization": []string{"Bearer " + apiKey}, |
| 90 | + }, |
| 91 | + }, |
| 92 | + }) |
| 93 | + if err != nil { |
| 94 | + panic(err) |
| 95 | + } |
| 96 | + |
| 97 | + request := &adkmodel.LLMRequest{ |
| 98 | + Contents: []*genai.Content{ |
| 99 | + genai.NewContentFromText("What is the weather in London?", genai.RoleUser), |
| 100 | + }, |
| 101 | + } |
| 102 | + |
| 103 | + for response, err := range model.GenerateContent(ctx, request, false) { |
| 104 | + if err != nil { |
| 105 | + panic(err) |
| 106 | + } |
| 107 | + if response.Content == nil { |
| 108 | + continue |
| 109 | + } |
| 110 | + for _, part := range response.Content.Parts { |
| 111 | + if part.Text != "" { |
| 112 | + fmt.Println(part.Text) |
| 113 | + } |
| 114 | + } |
| 115 | + } |
| 116 | +} |
| 117 | +``` |
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