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https://github.com/invariantlabs-ai/invariant-gateway.git
synced 2026-07-07 11:27:50 +02:00
Add tests with tool_calls for Gemini.
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@@ -0,0 +1,191 @@
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"""Test the chat completions gateway calls with tool calling and processing response."""
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import os
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import sys
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import uuid
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import pytest
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from google import genai
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from google.genai import types
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# add tests folder (parent) to sys.path
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sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
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from util import * # needed for pytest fixtures
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pytest_plugins = ("pytest_asyncio",)
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def set_light_values(brightness: int, color_temp: str) -> dict[str, int | str]:
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"""Set the brightness and color temperature of a room light. (mock API).
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Args:
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brightness: Light level from 0 to 100. Zero is off and 100 is full brightness
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color_temp: Color temperature of the light fixture, which can be `daylight`,
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`cool` or `warm`.
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Returns:
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A dictionary containing the set brightness and color temperature.
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"""
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return {
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"brightness": brightness,
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"colorTemperature": color_temp,
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}
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SYSTEM_INSTRUCTION = "This the system instruction. Use the function call."
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USER_PROMPT = (
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"Turn the light to 50% brightness and set the color temperature to daylight. \
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Once you are done, respond with 'DONE'."
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)
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SET_LIGHT_VALUES_TOOL_CALL_ARGS = {"brightness": 50, "color_temp": "daylight"}
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SET_LIGHT_VALUES_TOOL_CALL = {
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"type": "function",
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"function": {
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"name": "set_light_values",
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"arguments": SET_LIGHT_VALUES_TOOL_CALL_ARGS,
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},
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}
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async def _verify_trace_from_explorer(
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context, explorer_api_url, dataset_name, expected_final_assistant_message
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) -> None:
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# Fetch the trace ids for the dataset.
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# There will be 2 traces - the first will contain the system instruction, user prompt
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# and the assistant tool call.
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# The second will contain the system instruction, user prompt, the assistant tool call,
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# the tool response and the assistant response.
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traces_response = await context.request.get(
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f"{explorer_api_url}/api/v1/dataset/byuser/developer/{dataset_name}/traces"
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)
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traces = await traces_response.json()
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assert len(traces) == 2
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trace_id_1 = traces[0]["id"]
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trace_id_2 = traces[1]["id"]
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# Fetch the trace
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trace_response_1 = await context.request.get(
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f"{explorer_api_url}/api/v1/trace/{trace_id_1}"
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)
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trace_1 = await trace_response_1.json()
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trace_response_2 = await context.request.get(
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f"{explorer_api_url}/api/v1/trace/{trace_id_2}"
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)
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trace_2 = await trace_response_2.json()
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# Verify the trace messages
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assert trace_1["messages"] == [
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{
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"role": "system",
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"content": SYSTEM_INSTRUCTION,
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},
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{
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"role": "user",
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"content": [
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{
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"type": "text",
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"text": USER_PROMPT,
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}
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],
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},
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{
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"role": "assistant",
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"tool_calls": [SET_LIGHT_VALUES_TOOL_CALL],
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},
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]
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assert trace_2["messages"] == [
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{
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"role": "system",
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"content": SYSTEM_INSTRUCTION,
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},
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{
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"role": "user",
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"content": [
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{
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"type": "text",
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"text": USER_PROMPT,
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}
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],
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},
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{
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"role": "assistant",
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"tool_calls": [SET_LIGHT_VALUES_TOOL_CALL],
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},
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{
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"role": "tool",
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"tool_name": "set_light_values",
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"content": {
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"brightness": 50,
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"colorTemperature": "daylight",
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},
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},
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{"role": "assistant", "content": expected_final_assistant_message},
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]
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@pytest.mark.skipif(not os.getenv("GEMINI_API_KEY"), reason="No GEMINI_API_KEY set")
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@pytest.mark.parametrize(
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"do_stream, push_to_explorer",
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[(True, True), (True, False), (False, True), (False, False)],
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)
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async def test_generate_content_with_tool_call(
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context, explorer_api_url, gateway_url, push_to_explorer, do_stream
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):
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"""
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Test the generate content gateway calls with tool calling and response processing
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without streaming.
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"""
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dataset_name = "test-dataset-gemini-tool-call-" + str(uuid.uuid4())
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client = genai.Client(
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api_key=os.getenv("GEMINI_API_KEY"),
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http_options={
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"base_url": f"{gateway_url}/api/v1/gateway/{dataset_name}/gemini"
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if push_to_explorer
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else f"{gateway_url}/api/v1/gateway/gemini",
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"headers": {
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"invariant-authorization": "Bearer <some-key>"
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}, # This key is not used for local tests
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},
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)
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request = {
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"model": "gemini-2.0-flash",
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"contents": USER_PROMPT,
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"config": types.GenerateContentConfig(
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tools=[set_light_values],
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system_instruction=SYSTEM_INSTRUCTION,
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),
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}
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chat_response = (
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client.models.generate_content(**request)
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if not do_stream
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else client.models.generate_content_stream(**request)
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)
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if not do_stream:
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assert "DONE" in chat_response.candidates[0].content.parts[0].text
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expected_final_assistant_message = (
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chat_response.candidates[0].content.parts[0].text
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)
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else:
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full_response = ""
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for chunk in chat_response:
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if (
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chunk.candidates
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and chunk.candidates[0].content
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and chunk.candidates[0].content.parts
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):
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for text_part in chunk.candidates[0].content.parts:
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full_response += text_part.text
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assert "DONE" in full_response.upper()
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expected_final_assistant_message = full_response
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if push_to_explorer:
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await _verify_trace_from_explorer(
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context, explorer_api_url, dataset_name, expected_final_assistant_message
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)
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@@ -1,6 +1,5 @@
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"""Test the generate content gateway calls without tool calling."""
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import base64
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import os
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import sys
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import uuid
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@@ -8,7 +7,6 @@ from pathlib import Path
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from unittest.mock import patch
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import pytest
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from httpx import Client
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from google import genai
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import PIL.Image
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@@ -52,10 +50,11 @@ async def test_generate_content(
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},
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}
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if not do_stream:
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chat_response = client.models.generate_content(**request)
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else:
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chat_response = client.models.generate_content_stream(**request)
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chat_response = (
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client.models.generate_content(**request)
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if not do_stream
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else client.models.generate_content_stream(**request)
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)
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# Verify the chat response
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if not do_stream:
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