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8756398 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 | """Integration tests for Gemini native API endpoint with real API calls.
These tests require a valid GEMINI_API_KEY environment variable.
They test the /v1beta/models/{model}:generateContent endpoint with compression.
Run with:
GEMINI_API_KEY=your-key pytest tests/test_proxy_gemini_native_integration.py -v
"""
import json
import os
import pytest
# Skip entire module if no API key
pytestmark = pytest.mark.skipif(
not os.environ.get("GEMINI_API_KEY"), reason="GEMINI_API_KEY not set"
)
pytest.importorskip("fastapi")
pytest.importorskip("httpx")
from fastapi.testclient import TestClient # noqa: E402
from headroom.proxy.server import ProxyConfig, create_app # noqa: E402
@pytest.fixture
def gemini_native_client():
"""Create test client for Gemini native API with optimization enabled."""
config = ProxyConfig(
optimize=True, # Enable compression
cache_enabled=False,
rate_limit_enabled=False,
cost_tracking_enabled=False,
)
app = create_app(config)
with TestClient(app) as client:
yield client
@pytest.fixture
def api_key():
"""Get Gemini API key from environment."""
return os.environ.get("GEMINI_API_KEY")
class TestGeminiNativeGenerateContent:
"""Test /v1beta/models/{model}:generateContent endpoint."""
def test_basic_generation(self, gemini_native_client, api_key):
"""Basic text generation works."""
response = gemini_native_client.post(
f"/v1beta/models/gemini-2.0-flash:generateContent?key={api_key}",
json={"contents": [{"parts": [{"text": "What is 2+2? Reply with just the number."}]}]},
)
assert response.status_code == 200
data = response.json()
# Verify Gemini native response format
assert "candidates" in data
assert len(data["candidates"]) > 0
assert "content" in data["candidates"][0]
assert "parts" in data["candidates"][0]["content"]
text = data["candidates"][0]["content"]["parts"][0]["text"]
assert "4" in text
# Verify usage metadata
assert "usageMetadata" in data
assert "promptTokenCount" in data["usageMetadata"]
def test_with_system_instruction(self, gemini_native_client, api_key):
"""System instruction works correctly."""
response = gemini_native_client.post(
f"/v1beta/models/gemini-2.0-flash:generateContent?key={api_key}",
json={
"contents": [{"parts": [{"text": "Hello"}]}],
"systemInstruction": {"parts": [{"text": "Always respond with exactly one word."}]},
},
)
assert response.status_code == 200
data = response.json()
text = data["candidates"][0]["content"]["parts"][0]["text"]
# Should be a short response due to system instruction
assert len(text.split()) <= 3
def test_multi_turn_conversation(self, gemini_native_client, api_key):
"""Multi-turn conversations maintain context."""
response = gemini_native_client.post(
f"/v1beta/models/gemini-2.0-flash:generateContent?key={api_key}",
json={
"contents": [
{"role": "user", "parts": [{"text": "My name is TestUser456."}]},
{"role": "model", "parts": [{"text": "Nice to meet you, TestUser456!"}]},
{"role": "user", "parts": [{"text": "What is my name?"}]},
]
},
)
assert response.status_code == 200
data = response.json()
text = data["candidates"][0]["content"]["parts"][0]["text"].lower()
assert "testuser456" in text
def test_function_calling(self, gemini_native_client, api_key):
"""Function calling / tools work correctly."""
response = gemini_native_client.post(
f"/v1beta/models/gemini-2.0-flash:generateContent?key={api_key}",
json={
"contents": [{"parts": [{"text": "What is the weather in Tokyo?"}]}],
"tools": [
{
"functionDeclarations": [
{
"name": "get_weather",
"description": "Get current weather for a location",
"parameters": {
"type": "object",
"properties": {
"location": {"type": "string", "description": "City name"}
},
"required": ["location"],
},
}
]
}
],
},
)
assert response.status_code == 200
data = response.json()
# Verify function call response
parts = data["candidates"][0]["content"]["parts"]
function_call = None
for part in parts:
if "functionCall" in part:
function_call = part["functionCall"]
break
assert function_call is not None
assert function_call["name"] == "get_weather"
assert "tokyo" in function_call["args"]["location"].lower()
def test_generation_config(self, gemini_native_client, api_key):
"""Generation config parameters are respected."""
response = gemini_native_client.post(
f"/v1beta/models/gemini-2.0-flash:generateContent?key={api_key}",
json={
"contents": [{"parts": [{"text": "Write a very short poem about AI."}]}],
"generationConfig": {"maxOutputTokens": 50, "temperature": 0.1},
},
)
assert response.status_code == 200
data = response.json()
# Response should be limited by maxOutputTokens
assert data["usageMetadata"]["candidatesTokenCount"] <= 60 # Some buffer
class TestGeminiNativeCompression:
"""Test that compression works with Gemini native API."""
def test_compression_on_model_message(self, gemini_native_client, api_key):
"""Large data in model message gets compressed."""
# Create large JSON data (simulating tool output)
items = [
{"id": i, "name": f"Item {i}", "desc": f"Description for item {i}"} for i in range(100)
]
tool_output = json.dumps(items)
# Send as model message (like tool returning data)
response = gemini_native_client.post(
f"/v1beta/models/gemini-2.0-flash:generateContent?key={api_key}",
json={
"contents": [
{"role": "user", "parts": [{"text": "Get items from database"}]},
{"role": "model", "parts": [{"text": f"Here are the results:\n{tool_output}"}]},
{"role": "user", "parts": [{"text": "How many items are there?"}]},
]
},
)
assert response.status_code == 200
data = response.json()
text = data["candidates"][0]["content"]["parts"][0]["text"]
# Model should correctly count the items
assert "100" in text
# Check that compression happened via stats
stats = gemini_native_client.get("/stats").json()
# At least some tokens should have been saved
assert stats["tokens"]["saved"] >= 0 # May or may not compress depending on size
def test_user_messages_protected(self, gemini_native_client, api_key):
"""User messages are not compressed (by design)."""
# Large data in user message
items = [{"id": i} for i in range(50)]
user_data = json.dumps(items)
# First request with data in user message
response = gemini_native_client.post(
f"/v1beta/models/gemini-2.0-flash:generateContent?key={api_key}",
json={
"contents": [
{"role": "user", "parts": [{"text": f"Analyze this data: {user_data}"}]}
]
},
)
assert response.status_code == 200
# The request should succeed - user messages are protected from compression
class TestGeminiNativeStats:
"""Test that proxy stats track Gemini native requests correctly."""
def test_stats_track_gemini_provider(self, gemini_native_client, api_key):
"""Stats show requests under 'gemini' provider."""
# Make a request
gemini_native_client.post(
f"/v1beta/models/gemini-2.0-flash:generateContent?key={api_key}",
json={"contents": [{"parts": [{"text": "Hi"}]}]},
)
stats = gemini_native_client.get("/stats").json()
assert "gemini" in stats["requests"]["by_provider"]
assert stats["requests"]["by_provider"]["gemini"] >= 1
def test_stats_track_model(self, gemini_native_client, api_key):
"""Stats track the specific model used."""
gemini_native_client.post(
f"/v1beta/models/gemini-2.0-flash:generateContent?key={api_key}",
json={"contents": [{"parts": [{"text": "Hi"}]}]},
)
stats = gemini_native_client.get("/stats").json()
assert "gemini-2.0-flash" in stats["requests"]["by_model"]
class TestGeminiNativeErrorHandling:
"""Test error handling for Gemini native API."""
def test_invalid_api_key(self, gemini_native_client):
"""Invalid API key returns appropriate error."""
response = gemini_native_client.post(
"/v1beta/models/gemini-2.0-flash:generateContent?key=invalid-key-123",
json={"contents": [{"parts": [{"text": "Hi"}]}]},
)
assert response.status_code >= 400
def test_invalid_model(self, gemini_native_client, api_key):
"""Invalid model returns appropriate error."""
response = gemini_native_client.post(
f"/v1beta/models/nonexistent-model-xyz:generateContent?key={api_key}",
json={"contents": [{"parts": [{"text": "Hi"}]}]},
)
assert response.status_code >= 400
def test_empty_contents(self, gemini_native_client, api_key):
"""Empty contents handled gracefully."""
response = gemini_native_client.post(
f"/v1beta/models/gemini-2.0-flash:generateContent?key={api_key}", json={"contents": []}
)
# Should either return error or handle gracefully
assert response.status_code in [200, 400]
class TestGeminiNativeHeaderAuth:
"""Test authentication via x-goog-api-key header."""
def test_header_auth(self, gemini_native_client, api_key):
"""API key in header works."""
response = gemini_native_client.post(
"/v1beta/models/gemini-2.0-flash:generateContent",
headers={"x-goog-api-key": api_key},
json={"contents": [{"parts": [{"text": "Hi"}]}]},
)
assert response.status_code == 200
class TestGeminiNativeCountTokens:
"""Test /v1beta/models/{model}:countTokens endpoint with compression."""
def test_count_tokens_basic(self, gemini_native_client, api_key):
"""Basic token counting works."""
response = gemini_native_client.post(
f"/v1beta/models/gemini-2.0-flash:countTokens?key={api_key}",
json={"contents": [{"parts": [{"text": "Hello, world!"}]}]},
)
assert response.status_code == 200
data = response.json()
# Verify response format
assert "totalTokens" in data
assert isinstance(data["totalTokens"], int)
assert data["totalTokens"] > 0
def test_count_tokens_with_system_instruction(self, gemini_native_client, api_key):
"""Token counting includes system instruction."""
response = gemini_native_client.post(
f"/v1beta/models/gemini-2.0-flash:countTokens?key={api_key}",
json={
"contents": [{"parts": [{"text": "Hello"}]}],
"systemInstruction": {"parts": [{"text": "You are a helpful assistant."}]},
},
)
# Note: systemInstruction may not be supported by countTokens in all versions
assert response.status_code in [200, 400]
if response.status_code == 200:
data = response.json()
assert "totalTokens" in data
assert data["totalTokens"] > 0
def test_count_tokens_reflects_compression(self, gemini_native_client, api_key):
"""Token count reflects compressed content size."""
# Create large repetitive JSON data that should compress
items = [
{
"id": i,
"name": f"Item {i}",
"description": f"This is the description for item number {i}",
}
for i in range(100)
]
tool_output = json.dumps(items)
# Count tokens with large data in model message (which gets compressed)
response = gemini_native_client.post(
f"/v1beta/models/gemini-2.0-flash:countTokens?key={api_key}",
json={
"contents": [
{"role": "user", "parts": [{"text": "Get items from database"}]},
{"role": "model", "parts": [{"text": f"Here are the results:\n{tool_output}"}]},
{"role": "user", "parts": [{"text": "Summarize these items"}]},
]
},
)
assert response.status_code == 200
data = response.json()
# Verify we got a token count
assert "totalTokens" in data
compressed_tokens = data["totalTokens"]
assert compressed_tokens > 0
# Check stats to verify compression was applied
stats = gemini_native_client.get("/stats").json()
# The request should have been tracked
assert stats["requests"]["by_provider"].get("gemini", 0) >= 1
def test_count_tokens_multi_turn(self, gemini_native_client, api_key):
"""Token counting works for multi-turn conversations."""
response = gemini_native_client.post(
f"/v1beta/models/gemini-2.0-flash:countTokens?key={api_key}",
json={
"contents": [
{"role": "user", "parts": [{"text": "My name is Alice."}]},
{"role": "model", "parts": [{"text": "Nice to meet you, Alice!"}]},
{"role": "user", "parts": [{"text": "What is my name?"}]},
]
},
)
assert response.status_code == 200
data = response.json()
assert "totalTokens" in data
assert data["totalTokens"] > 0
def test_count_tokens_header_auth(self, gemini_native_client, api_key):
"""API key in header works for countTokens."""
response = gemini_native_client.post(
"/v1beta/models/gemini-2.0-flash:countTokens",
headers={"x-goog-api-key": api_key},
json={"contents": [{"parts": [{"text": "Hello"}]}]},
)
assert response.status_code == 200
data = response.json()
assert "totalTokens" in data
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