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TapPass

Google Gemini

Requirements

Section titled “Requirements”

Server-side:

Terminal window
GEMINI_API_KEY=<your-ai-studio-key>

Option A — SDK

Section titled “Option A — SDK”
from tappass import Agent


agent = Agent("https://tappass.example.com", "tp_...")
response = agent.chat("Hello", model="gemini/gemini-1.5-pro")

Option B — OpenAI SDK, zero-code

Section titled “Option B — OpenAI SDK, zero-code”
Terminal window
export OPENAI_BASE_URL=https://tappass.example.com/v1
export OPENAI_API_KEY=tp_...
from openai import OpenAI


client = OpenAI()
response = client.chat.completions.create(
    model="gemini/gemini-1.5-pro",
    messages=[{"role": "user", "content": "Hello"}],
)

What’s supported

Section titled “What’s supported”
  • Gemini 1.5 Pro, Flash, Flash-8B
  • Streaming + non-streaming
  • Tool calls (function calling)
  • Vision (image + video content)
  • JSON mode / schema-typed outputs

Data residency

Section titled “Data residency”

The AI Studio path (GEMINI_API_KEY) is US-routed. When TAPPASS_EU_DATA_RESIDENCY=true, the server’s LLM judge is restricted to EU-hosted models — see the Azure OpenAI page for EU-resident GPT deployments.