mirror of
https://github.com/NousResearch/hermes-agent.git
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315 lines
11 KiB
Python
315 lines
11 KiB
Python
"""Tests for the native Google AI Studio Gemini adapter."""
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from __future__ import annotations
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import json
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from types import SimpleNamespace
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import pytest
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class DummyResponse:
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def __init__(self, status_code=200, payload=None, headers=None, text=None):
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self.status_code = status_code
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self._payload = payload or {}
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self.headers = headers or {}
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self.text = text if text is not None else json.dumps(self._payload)
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def json(self):
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return self._payload
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def test_build_native_request_preserves_thought_signature_on_tool_replay():
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from agent.gemini_native_adapter import build_gemini_request
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request = build_gemini_request(
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messages=[
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{"role": "system", "content": "Be helpful."},
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{
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"role": "assistant",
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"content": "",
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"tool_calls": [
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{
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"id": "call_1",
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"type": "function",
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"function": {
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"name": "get_weather",
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"arguments": '{"city": "Paris"}',
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},
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"extra_content": {
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"google": {"thought_signature": "sig-123"}
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},
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}
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],
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},
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],
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tools=[],
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tool_choice=None,
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)
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parts = request["contents"][0]["parts"]
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assert parts[0]["functionCall"]["name"] == "get_weather"
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assert parts[0]["thoughtSignature"] == "sig-123"
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def test_build_native_request_uses_original_function_name_for_tool_result():
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from agent.gemini_native_adapter import build_gemini_request
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request = build_gemini_request(
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messages=[
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{
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"role": "assistant",
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"content": "",
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"tool_calls": [
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{
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"id": "call_1",
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"type": "function",
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"function": {
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"name": "get_weather",
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"arguments": '{"city": "Paris"}',
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},
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}
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],
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},
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{
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"role": "tool",
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"tool_call_id": "call_1",
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"content": '{"forecast": "sunny"}',
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},
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],
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tools=[],
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tool_choice=None,
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)
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tool_response = request["contents"][1]["parts"][0]["functionResponse"]
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assert tool_response["name"] == "get_weather"
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def test_build_native_request_strips_json_schema_only_fields_from_tool_parameters():
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from agent.gemini_native_adapter import build_gemini_request
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request = build_gemini_request(
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messages=[{"role": "user", "content": "Hello"}],
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tools=[
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{
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"type": "function",
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"function": {
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"name": "lookup_weather",
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"description": "Weather lookup",
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"parameters": {
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"$schema": "https://json-schema.org/draft/2020-12/schema",
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"type": "object",
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"additionalProperties": False,
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"properties": {
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"city": {
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"type": "string",
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"$schema": "ignored",
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"description": "City name",
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}
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},
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"required": ["city"],
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},
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},
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}
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],
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tool_choice=None,
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)
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params = request["tools"][0]["functionDeclarations"][0]["parameters"]
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assert "$schema" not in params
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assert "additionalProperties" not in params
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assert params["type"] == "object"
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assert params["properties"]["city"] == {
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"type": "string",
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"description": "City name",
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}
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def test_translate_native_response_surfaces_reasoning_and_tool_calls():
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from agent.gemini_native_adapter import translate_gemini_response
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payload = {
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"candidates": [
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{
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"content": {
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"parts": [
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{"thought": True, "text": "thinking..."},
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{"functionCall": {"name": "search", "args": {"q": "hermes"}}},
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]
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},
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"finishReason": "STOP",
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}
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],
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"usageMetadata": {
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"promptTokenCount": 10,
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"candidatesTokenCount": 5,
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"totalTokenCount": 15,
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},
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}
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response = translate_gemini_response(payload, model="gemini-2.5-flash")
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choice = response.choices[0]
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assert choice.finish_reason == "tool_calls"
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assert choice.message.reasoning == "thinking..."
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assert choice.message.tool_calls[0].function.name == "search"
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assert json.loads(choice.message.tool_calls[0].function.arguments) == {"q": "hermes"}
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def test_native_client_uses_x_goog_api_key_and_native_models_endpoint(monkeypatch):
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from agent.gemini_native_adapter import GeminiNativeClient
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recorded = {}
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class DummyHTTP:
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def post(self, url, json=None, headers=None, timeout=None):
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recorded["url"] = url
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recorded["json"] = json
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recorded["headers"] = headers
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return DummyResponse(
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payload={
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"candidates": [
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{
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"content": {"parts": [{"text": "hello"}]},
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"finishReason": "STOP",
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}
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],
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"usageMetadata": {
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"promptTokenCount": 1,
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"candidatesTokenCount": 1,
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"totalTokenCount": 2,
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},
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}
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)
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def close(self):
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return None
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monkeypatch.setattr("agent.gemini_native_adapter.httpx.Client", lambda *a, **k: DummyHTTP())
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client = GeminiNativeClient(api_key="AIza-test", base_url="https://generativelanguage.googleapis.com/v1beta")
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response = client.chat.completions.create(
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model="gemini-2.5-flash",
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messages=[{"role": "user", "content": "Hello"}],
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)
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assert recorded["url"] == "https://generativelanguage.googleapis.com/v1beta/models/gemini-2.5-flash:generateContent"
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assert recorded["headers"]["x-goog-api-key"] == "AIza-test"
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assert "Authorization" not in recorded["headers"]
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assert response.choices[0].message.content == "hello"
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def test_native_http_error_keeps_status_and_retry_after():
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from agent.gemini_native_adapter import gemini_http_error
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response = DummyResponse(
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status_code=429,
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headers={"Retry-After": "17"},
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payload={
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"error": {
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"code": 429,
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"message": "quota exhausted",
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"status": "RESOURCE_EXHAUSTED",
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"details": [
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{
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"@type": "type.googleapis.com/google.rpc.ErrorInfo",
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"reason": "RESOURCE_EXHAUSTED",
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"metadata": {"service": "generativelanguage.googleapis.com"},
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}
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],
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}
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},
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)
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err = gemini_http_error(response)
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assert getattr(err, "status_code", None) == 429
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assert getattr(err, "retry_after", None) == 17.0
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assert "quota exhausted" in str(err)
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def test_native_client_accepts_injected_http_client():
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from agent.gemini_native_adapter import GeminiNativeClient
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injected = SimpleNamespace(close=lambda: None)
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client = GeminiNativeClient(api_key="AIza-test", http_client=injected)
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assert client._http is injected
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@pytest.mark.asyncio
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async def test_async_native_client_streams_without_requiring_async_iterator_from_sync_client():
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from agent.gemini_native_adapter import AsyncGeminiNativeClient
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chunk = SimpleNamespace(choices=[SimpleNamespace(delta=SimpleNamespace(content="hi"), finish_reason=None)])
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sync_stream = iter([chunk])
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def _advance(iterator):
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try:
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return False, next(iterator)
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except StopIteration:
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return True, None
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sync_client = SimpleNamespace(
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api_key="AIza-test",
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base_url="https://generativelanguage.googleapis.com/v1beta",
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chat=SimpleNamespace(completions=SimpleNamespace(create=lambda **kwargs: sync_stream)),
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_advance_stream_iterator=_advance,
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close=lambda: None,
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)
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async_client = AsyncGeminiNativeClient(sync_client)
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stream = await async_client.chat.completions.create(stream=True)
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collected = []
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async for item in stream:
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collected.append(item)
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assert collected == [chunk]
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def test_stream_event_translation_emits_tool_call_delta_with_stable_index():
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from agent.gemini_native_adapter import translate_stream_event
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tool_call_indices = {}
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event = {
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"candidates": [
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{
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"content": {
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"parts": [
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{"functionCall": {"name": "search", "args": {"q": "abc"}}}
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]
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},
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"finishReason": "STOP",
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}
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]
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}
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first = translate_stream_event(event, model="gemini-2.5-flash", tool_call_indices=tool_call_indices)
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second = translate_stream_event(event, model="gemini-2.5-flash", tool_call_indices=tool_call_indices)
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assert first[0].choices[0].delta.tool_calls[0].index == 0
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assert second[0].choices[0].delta.tool_calls[0].index == 0
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assert first[0].choices[0].delta.tool_calls[0].id == second[0].choices[0].delta.tool_calls[0].id
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assert first[0].choices[0].delta.tool_calls[0].function.arguments == '{"q": "abc"}'
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assert second[0].choices[0].delta.tool_calls[0].function.arguments == ""
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assert first[-1].choices[0].finish_reason == "tool_calls"
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def test_stream_event_translation_keeps_identical_calls_in_distinct_parts():
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from agent.gemini_native_adapter import translate_stream_event
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event = {
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"candidates": [
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{
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"content": {
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"parts": [
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{"functionCall": {"name": "search", "args": {"q": "abc"}}},
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{"functionCall": {"name": "search", "args": {"q": "abc"}}},
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]
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},
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"finishReason": "STOP",
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}
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]
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}
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chunks = translate_stream_event(event, model="gemini-2.5-flash", tool_call_indices={})
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tool_chunks = [chunk for chunk in chunks if chunk.choices[0].delta.tool_calls]
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assert tool_chunks[0].choices[0].delta.tool_calls[0].index == 0
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assert tool_chunks[1].choices[0].delta.tool_calls[0].index == 1
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assert tool_chunks[0].choices[0].delta.tool_calls[0].id != tool_chunks[1].choices[0].delta.tool_calls[0].id
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