返回提交历史
Modified
etc/unittest/test_gemini.py
+92
-30
Modified
g4f/Provider/needs_auth/Gemini.py
+75
-32
Modified
g4f/Provider/needs_auth/gemini_utils.py
+3
-3
Modified
g4f/models.py
+12
-0
Modified
g4f/providers/any_model_map.py
+6
-0
XFEstudio/gpt4free
Enhance Gemini provider with cookie handling, XSRF retry, and conversation fixes (#3501)
* Gemini: cookie snapshot, XSRF retry, prompt Add robust cookie handling, XSRF retry logic and prompt normalization for the Gemini provider. - Introduce _normalize_messages and _resolve_gemini_prompt to handle prompt-only and messages inputs. - Improve unknown-model error to list supported models. - Use a request-local cookie snapshot (request_cookies) so original cookie dict isn't mutated during requests. - start_auto_refresh now accepts cookies, waits before rotating, and updates stored cookies only when appropriate. - Detect XSRF errors (_is_xsrf_error) and retry by refetching snlm0e/sid and updating params/data. - Propagate request_cookies through upload_images, image responses and Authorization generation. - Add/adjust unit tests to cover prompt-only requests, XSRF retry flow, and auto-refresh behaviors. * Update test_gemini.py * Fix Gemini conversation reuse for anonymous users Gemini returns conversation identifiers to anonymous sessions but rejects them on subsequent turns with BardErrorInfo 1096. This commit fixes the issue by discarding conversation handles for unauthenticated users and keeping full message history instead, while maintaining conversation reuse for authenticated sessions. Adds helper functions `_has_authenticated_session()` and `_resolve_gemini_conversation()` to handle the logic, and includes tests for both anonymous and authenticated conversation flows. * Add gemini-3.6 & expanded thinking support Align Gemini provider with authenticated Gemini Web behavior: switch default/aliases to gemini-3.6-flash, introduce a boolean expanded_thinking option (mapped to request field 80) instead of legacy per-depth think, and expand the request payload to 97 entries. Populate key request fields (79=model, 80=expanded, 17=turn counter, 96=first-turn flag) and wire conversation.turn_index through to requests. Add/adjust MODEL_ALIASES and EXPANDED_MODEL_ALIASES, register new models in ModelRegistry and any_model_map, and update unit tests to validate the new format and mappings.
2e84a647
代码差异
5 个文件
+188
-65
@@ -27,6 +27,7 @@ from g4f.Provider.needs_auth.Gemini import (
27
27
)
28
28
from g4f.errors import MissingAuthError, ResponseError, ResponseStatusError
29
29
from g4f.models import ModelRegistry
30
from g4f.providers.any_model_map import model_map
30
31
31
32
GEMINI_MODULE = importlib.import_module("g4f.Provider.needs_auth.Gemini")
32
33
@@ -83,45 +84,96 @@ class GeminiHelpersTest(unittest.TestCase):
83
84
self.assertIsNone(field_13[11])
84
85
self.assertEqual(field_13[12], 2)
85
86
86
def test_mode_categories_and_default_thinking_depths(self):
87
def test_current_models_match_authenticated_web_request_fields(self):
87
88
expected = {
88
"gemini-3.5-flash": (1, 4),
89
"gemini-3.5-flash-thinking": (2, 0),
90
"gemini-3.1-pro": (3, 4),
91
"gemini-auto": (4, 4),
92
"gemini-3.5-flash-thinking-lite": (5, 0),
93
"gemini-flash-lite": (6, 4),
89
"gemini-3.6-flash": (1, 1),
90
"gemini-3.5-flash-lite": (6, 1),
91
"gemini-3.1-pro": (3, 1),
94
92
}
95
93
96
for requested, (mode, default_think) in expected.items():
94
for requested, (mode, request_96) in expected.items():
97
95
with self.subTest(model=requested):
98
model, think = _resolve_model(requested)
96
model, expanded = _resolve_model(requested)
99
97
request = Gemini.build_request(
100
"test", "en", model, think, request_uuid="test-request"
98
"test", "en", model, expanded, request_uuid="test-request"
101
99
)
100
self.assertEqual(len(request), 97)
101
self.assertEqual(request[6], [1])
102
self.assertIsNone(request[9])
103
self.assertEqual(request[17], [[0]])
104
self.assertEqual(request[41], [1])
105
self.assertEqual(request[68], 2)
102
106
self.assertEqual(request[79], mode)
103
self.assertEqual(request[17], [[default_think]])
107
self.assertEqual(request[80], 1)
108
self.assertEqual(request[91], 0)
109
self.assertEqual(request[96], request_96)
110
111
def test_expanded_thinking_is_independent_for_every_current_model(self):
112
for requested in (
113
"gemini-3.6-flash",
114
"gemini-3.5-flash-lite",
115
"gemini-3.1-pro",
116
):
117
with self.subTest(model=requested):
118
model, _ = _resolve_model(requested)
119
request = Gemini.build_request(
120
"test", "en", model, True, request_uuid="test-request"
121
)
122
self.assertEqual(request[17], [[0]])
123
self.assertEqual(request[80], 2)
124
self.assertEqual(request[96], 1)
104
125
105
def test_explicit_thinking_depths_are_preserved(self):
126
def test_legacy_thinking_depths_map_to_binary_expanded_option(self):
106
127
for requested_depth in range(5):
107
128
with self.subTest(depth=requested_depth):
108
model, think = _resolve_model(
129
model, expanded = _resolve_model(
109
130
f"gemini-3.5-flash-thinking@think={requested_depth}"
110
131
)
132
self.assertEqual(model, "gemini-3.6-flash")
133
self.assertEqual(expanded, requested_depth <= 2)
134
135
def test_conversation_turn_counter_uses_request_field_17(self):
136
for model, expanded in (
137
("gemini-3.6-flash", False),
138
("gemini-3.6-flash", True),
139
("gemini-3.5-flash-lite", False),
140
("gemini-3.1-pro", False),
141
):
142
with self.subTest(model=model, expanded=expanded):
143
conversation = Conversation(
144
"conversation-id",
145
"response-id",
146
"choice-id",
147
model,
148
turn_index=2,
149
)
150
111
151
request = Gemini.build_request(
112
"test", "en", model, think, request_uuid="test-request"
152
"test",
153
"en",
154
model,
155
expanded,
156
conversation=conversation,
157
request_uuid="test-request",
113
158
)
114
self.assertEqual(request[17], [[requested_depth]])
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self.assertEqual(request[17], [[2]])
161
self.assertEqual(request[96], 0)
115
162
116
163
def test_legacy_model_names_resolve_to_current_modes(self):
117
164
expected = {
118
"gemini-2.0": "gemini-3.5-flash",
119
"gemini-2.0-flash": "gemini-3.5-flash",
120
"gemini-2.0-flash-thinking": "gemini-3.5-flash-thinking",
121
"gemini-2.0-flash-thinking-with-apps": "gemini-3.5-flash-thinking",
122
"gemini-2.5-flash": "gemini-3.5-flash",
165
"gemini-2.0": "gemini-3.6-flash",
166
"gemini-2.0-flash": "gemini-3.6-flash",
167
"gemini-2.0-flash-thinking": "gemini-3.6-flash",
168
"gemini-2.0-flash-thinking-with-apps": "gemini-3.6-flash",
169
"gemini-2.5-flash": "gemini-3.6-flash",
170
"gemini-3.5-flash": "gemini-3.6-flash",
171
"gemini-3.5-flash-thinking": "gemini-3.6-flash",
172
"gemini-auto": "gemini-3.6-flash",
123
173
"gemini-2.5-pro": "gemini-3.1-pro",
124
"gemini-3.1-flash-lite": "gemini-flash-lite",
174
"gemini-3.1-flash-lite": "gemini-3.5-flash-lite",
175
"gemini-flash-lite": "gemini-3.5-flash-lite",
176
"gemini-3.5-flash-thinking-lite": "gemini-3.5-flash-lite",
125
177
}
126
178
127
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for legacy_name, current_name in expected.items():
@@ -131,16 +183,20 @@ class GeminiHelpersTest(unittest.TestCase):
131
183
132
184
def test_unknown_model_lists_supported_models(self):
133
185
with self.assertRaises(ValueError) as context:
134
_resolve_model("gemini-3.6-flash")
186
_resolve_model("gemini-3.7-flash")
135
187
136
188
message = str(context.exception)
137
self.assertIn("Unknown Gemini model: gemini-3.6-flash", message)
189
self.assertIn("Unknown Gemini model: gemini-3.7-flash", message)
138
190
self.assertIn("Supported models:", message)
139
self.assertIn("gemini-3.5-flash", message)
191
self.assertIn("gemini-3.6-flash", message)
192
self.assertIn("gemini-3.5-flash-lite", message)
140
193
141
194
def test_public_model_registry_exposes_current_models(self):
142
195
self.assertEqual(ModelRegistry.get("gemini-auto").name, "gemini-auto")
143
196
for model in (
197
"gemini-3.6-flash",
198
"gemini-3.5-flash-lite",
199
"gemini-3.1-pro",
144
200
"gemini-3.5-flash-thinking",
145
201
"gemini-auto",
146
202
"gemini-3.5-flash-thinking-lite",
@@ -148,6 +204,7 @@ class GeminiHelpersTest(unittest.TestCase):
148
204
):
149
205
with self.subTest(model=model):
150
206
self.assertEqual(ModelRegistry.get(model).name, model)
207
self.assertEqual(model_map[model]["Gemini"], model)
151
208
152
209
def test_prompt_only_requests_accept_missing_messages(self):
153
210
messages = _normalize_messages(None)
@@ -170,21 +227,21 @@ class GeminiHelpersTest(unittest.TestCase):
170
227
"conversation-id",
171
228
"response-id",
172
229
"choice-id",
173
"gemini-auto",
230
"gemini-3.6-flash",
174
231
)
175
232
176
233
self.assertFalse(_has_authenticated_session({}))
177
234
resolved = _resolve_gemini_conversation(
178
235
conversation,
179
"gemini-auto",
236
"gemini-3.6-flash",
180
237
{},
181
238
)
182
239
prompt = _resolve_gemini_prompt(messages, None, resolved)
183
240
request = Gemini.build_request(
184
241
prompt,
185
242
"en",
186
"gemini-auto",
187
4,
243
"gemini-3.6-flash",
244
False,
188
245
conversation=resolved,
189
246
request_uuid="test-request",
190
247
)
@@ -216,7 +273,7 @@ class GeminiHelpersTest(unittest.TestCase):
216
273
self.assertIsNone(
217
274
_resolve_gemini_conversation(
218
275
conversation,
219
"gemini-auto",
276
"gemini-3.1-pro",
220
277
cookies,
221
278
)
222
279
)
@@ -254,6 +311,7 @@ class GeminiHelpersTest(unittest.TestCase):
254
311
255
312
with self.assertRaises(MissingAuthError):
256
313
ProbeGemini.validate_model_access("gemini-3.1-pro")
314
ProbeGemini.validate_model_access("gemini-3.6-flash")
257
315
ProbeGemini.validate_model_access("gemini-3.5-flash")
258
316
ProbeGemini.validate_model_access(
259
317
"gemini-3.1-pro", allow_model_fallback=True
@@ -382,10 +440,11 @@ class GeminiStreamTest(unittest.IsolatedAsyncioTestCase):
382
440
side_effect=check_status,
383
441
):
384
442
generator = ProbeGemini.create_async_generator(
385
model="gemini-3.5-flash",
443
model="gemini-3.6-flash",
386
444
messages=None,
387
445
prompt="prompt-only request",
388
446
cookies=source_cookies,
447
expanded_thinking=True,
389
448
max_retries=1,
390
449
)
391
450
await generator.__anext__()
@@ -408,6 +467,9 @@ class GeminiStreamTest(unittest.IsolatedAsyncioTestCase):
408
467
self.assertEqual(source_cookies["__Secure-1PSIDTS"], "old")
409
468
request = json.loads(json.loads(session.calls[1]["data"]["f.req"])[1])
410
469
self.assertEqual(request[0][0], "prompt-only request")
470
self.assertEqual(request[79], 1)
471
self.assertEqual(request[80], 2)
472
self.assertEqual(request[96], 1)
411
473
412
474
async def test_auto_refresh_waits_before_rotating(self):
413
475
with patch.object(
@@ -126,21 +126,35 @@ MAX_CONCURRENT_UPLOADS = 4
126
126
RETRYABLE_STATUS_CODES = {408, 425, 429, 500, 502, 503, 504}
127
127
128
128
models = {
129
"gemini-3.5-flash": {"mode": 1, "think": 4},
130
"gemini-3.5-flash-thinking": {"mode": 2, "think": 0},
131
"gemini-3.1-pro": {"mode": 3, "think": 4},
132
"gemini-auto": {"mode": 4, "think": 4},
133
"gemini-3.5-flash-thinking-lite": {"mode": 5, "think": 0},
134
"gemini-flash-lite": {"mode": 6, "think": 4},
129
# Values captured from authenticated Gemini Web requests. The model is
130
# selected by field 79; expanded thinking is an independent field 80.
131
"gemini-3.6-flash": {"mode": 1},
132
"gemini-3.5-flash-lite": {"mode": 6},
133
"gemini-3.1-pro": {"mode": 3},
135
134
}
136
135
MODEL_ALIASES = {
137
"gemini-2.0": "gemini-3.5-flash",
138
"gemini-2.0-flash": "gemini-3.5-flash",
139
"gemini-2.0-flash-thinking": "gemini-3.5-flash-thinking",
140
"gemini-2.0-flash-thinking-with-apps": "gemini-3.5-flash-thinking",
141
"gemini-2.5-flash": "gemini-3.5-flash",
136
"gemini-2.0": "gemini-3.6-flash",
137
"gemini-2.0-flash": "gemini-3.6-flash",
138
"gemini-2.0-flash-thinking": "gemini-3.6-flash",
139
"gemini-2.0-flash-thinking-with-apps": "gemini-3.6-flash",
140
"gemini-2.5-flash": "gemini-3.6-flash",
142
141
"gemini-2.5-pro": "gemini-3.1-pro",
143
"gemini-3.1-flash-lite": "gemini-flash-lite",
142
"gemini-3.1-flash-lite": "gemini-3.5-flash-lite",
143
"gemini-3.5-flash": "gemini-3.6-flash",
144
"gemini-3.5-flash-thinking": "gemini-3.6-flash",
145
"gemini-3.6-flash-thinking": "gemini-3.6-flash",
146
"gemini-auto": "gemini-3.6-flash",
147
"gemini-3.5-flash-thinking-lite": "gemini-3.5-flash-lite",
148
"gemini-3.5-flash-lite-thinking": "gemini-3.5-flash-lite",
149
"gemini-flash-lite": "gemini-3.5-flash-lite",
150
}
151
EXPANDED_MODEL_ALIASES = {
152
"gemini-2.0-flash-thinking",
153
"gemini-2.0-flash-thinking-with-apps",
154
"gemini-3.5-flash-thinking",
155
"gemini-3.6-flash-thinking",
156
"gemini-3.5-flash-thinking-lite",
157
"gemini-3.5-flash-lite-thinking",
144
158
}
145
159
146
160
@@ -223,10 +237,12 @@ async def _iter_response_lines(
223
237
yield buffer.decode("utf-8", errors="replace")
224
238
225
239
226
def _resolve_model(model: str, think_override: int = None) -> tuple[str, int]:
240
def _resolve_model(model: str, think_override: int = None) -> tuple[str, bool]:
241
requested_model = model
227
242
think_mode = think_override
228
243
if "@think=" in model:
229
244
model, think_value = model.rsplit("@think=", 1)
245
requested_model = model
230
246
try:
231
247
think_mode = int(think_value)
232
248
except ValueError as exc:
@@ -240,7 +256,12 @@ def _resolve_model(model: str, think_override: int = None) -> tuple[str, int]:
240
256
f"Unknown Gemini model: {model}. "
241
257
f"Supported models: {', '.join(models)}"
242
258
)
243
return model, models[model]["think"] if think_mode is None else think_mode
259
expanded_thinking = (
260
requested_model in EXPANDED_MODEL_ALIASES
261
if think_mode is None
262
else think_mode <= 2
263
)
264
return model, expanded_thinking
244
265
245
266
246
267
def _normalize_messages(messages: Messages | None) -> Messages:
@@ -276,7 +297,9 @@ def _resolve_gemini_conversation(
276
297
):
277
298
if conversation is None:
278
299
return None
279
if getattr(conversation, "model", None) != model:
300
model = MODEL_ALIASES.get(model, model)
301
conversation_model = getattr(conversation, "model", None)
302
if MODEL_ALIASES.get(conversation_model, conversation_model) != model:
280
303
return None
281
304
# Gemini currently returns conversation identifiers to anonymous sessions,
282
305
# but rejects those identifiers with BardErrorInfo 1096 when they are used
@@ -299,7 +322,7 @@ class Gemini(AsyncGeneratorProvider, ProviderModelMixin):
299
322
active_by_default = True
300
323
use_nodriver = True
301
324
302
default_model = "gemini-3.5-flash"
325
default_model = "gemini-3.6-flash"
303
326
default_image_model = default_model
304
327
default_vision_model = default_model
305
328
image_models = [default_image_model]
@@ -442,9 +465,8 @@ class Gemini(AsyncGeneratorProvider, ProviderModelMixin):
442
465
@classmethod
443
466
def get_model_headers(cls, model: str) -> dict[str, str]:
444
467
family = MODEL_FAMILIES.get(model)
445
# The 80-field request's mode category selects Flash/Thinking/Lite.
446
# Pro additionally needs the account-specific model header or Google
447
# silently routes it back to Flash.
468
# Request field 79 selects the model. Pro additionally needs the
469
# account-specific model header or Google silently routes it to Flash.
448
470
if family != "pro":
449
471
return {}
450
472
for model_data in cls._account_models.values():
@@ -458,6 +480,7 @@ class Gemini(AsyncGeneratorProvider, ProviderModelMixin):
458
480
model: str,
459
481
allow_model_fallback: bool = False,
460
482
) -> None:
483
model = MODEL_ALIASES.get(model, model)
461
484
if allow_model_fallback or cls._account_status is None:
462
485
return
463
486
if cls._account_status == ACCOUNT_STATUS_UNAUTHENTICATED:
@@ -508,12 +531,11 @@ class Gemini(AsyncGeneratorProvider, ProviderModelMixin):
508
531
audio: dict = None,
509
532
auth_user: int | str = None,
510
533
think_override: int = None,
534
expanded_thinking: bool = None,
511
535
**kwargs
512
536
) -> AsyncResult:
513
537
messages = _normalize_messages(messages)
514
538
model = model or cls.default_model
515
if cls.model_aliases and model in cls.model_aliases:
516
model = cls.model_aliases[model]
517
539
if audio is not None or model == "gemini-audio":
518
540
prompt = format_media_prompt(messages, prompt)
519
541
filename = get_filename(["gemini"], prompt, ".ogx", prompt)
@@ -524,7 +546,11 @@ class Gemini(AsyncGeneratorProvider, ProviderModelMixin):
524
546
f.write(chunk)
525
547
yield AudioResponse(f"/media/{filename}", text=prompt)
526
548
return
527
if think_override is None:
549
if expanded_thinking is not None:
550
if not isinstance(expanded_thinking, bool):
551
raise TypeError("expanded_thinking must be a boolean")
552
think_override = 0 if expanded_thinking else 4
553
elif think_override is None:
528
554
think_override = {
529
555
"none": 4,
530
556
"minimal": 4,
@@ -533,7 +559,7 @@ class Gemini(AsyncGeneratorProvider, ProviderModelMixin):
533
559
"high": 1,
534
560
"xhigh": 0,
535
561
}.get(kwargs.get("reasoning_effort"))
536
model, think_mode = _resolve_model(model, think_override)
562
model, expanded_thinking = _resolve_model(model, think_override)
537
563
if cookies is not None:
538
564
cls._cookies = cookies
539
565
elif cls._cookies is None:
@@ -631,7 +657,7 @@ class Gemini(AsyncGeneratorProvider, ProviderModelMixin):
631
657
'f.req': json.dumps([None, json.dumps(cls.build_request(
632
658
prompt,
633
659
model=model,
634
think_mode=think_mode,
660
expanded_thinking=expanded_thinking,
635
661
language=language,
636
662
conversation=conversation,
637
663
uploads=uploads,
@@ -760,6 +786,11 @@ class Gemini(AsyncGeneratorProvider, ProviderModelMixin):
760
786
response_part[1][1],
761
787
response_part[4][0][0],
762
788
model,
789
turn_index=(
790
getattr(conversation, "turn_index", 0) + 1
791
if conversation is not None
792
else 1
793
),
763
794
)
764
795
except (IndexError, TypeError):
765
796
pass
@@ -896,14 +927,19 @@ class Gemini(AsyncGeneratorProvider, ProviderModelMixin):
896
927
prompt: str,
897
928
language: str,
898
929
model: str,
899
think_mode: int,
930
expanded_thinking: bool = False,
900
931
conversation: Conversation = None,
901
932
uploads: list[list[str, str]] = None,
902
933
tools: list[list[str]] = None,
903
934
request_uuid: str = None,
904
935
) -> list:
905
936
image_list = [[[image_url, 1], image_name] for image_url, image_name in uploads] if uploads else []
906
request = [None] * 80
937
turn_index = (
938
getattr(conversation, "turn_index", 0)
939
if conversation is not None
940
else 0
941
)
942
request = [None] * 97
907
943
request[0] = [prompt, 0, None, image_list, None, None, 0]
908
944
request[1] = [language]
909
945
request[2] = [
@@ -918,21 +954,26 @@ class Gemini(AsyncGeneratorProvider, ProviderModelMixin):
918
954
None,
919
955
"",
920
956
]
921
request[6] = [0]
957
request[6] = [1]
922
958
request[7] = 1
923
request[9] = tools or []
959
if tools:
960
request[9] = tools
924
961
request[10] = 1
925
962
request[11] = 0
926
request[17] = [[think_mode]]
963
request[17] = [[turn_index]]
927
964
request[18] = 0
928
965
request[27] = 1
929
966
request[30] = [4]
930
request[41] = [2]
967
request[41] = [1]
931
968
request[53] = 0
932
969
request[59] = request_uuid or str(uuid.uuid4())
933
970
request[61] = []
934
request[68] = 1
971
request[68] = 2
935
972
request[79] = models[model]["mode"]
973
request[80] = 2 if expanded_thinking else 1
974
request[91] = 0
975
# Gemini Web marks the first turn with 1 and follow-up turns with 0.
976
request[96] = int(conversation is None)
936
977
return request
937
978
938
979
@classmethod
@@ -1038,12 +1079,14 @@ class Conversation(JsonConversation):
1038
1079
conversation_id: str,
1039
1080
response_id: str,
1040
1081
choice_id: str,
1041
model: str
1082
model: str,
1083
turn_index: int = 0,
1042
1084
) -> None:
1043
1085
self.conversation_id = conversation_id
1044
1086
self.response_id = response_id
1045
1087
self.choice_id = choice_id
1046
1088
self.model = model
1089
self.turn_index = turn_index
1047
1090
1048
1091
1049
1092
async def iter_filter_base64(chunks: AsyncIterator[bytes]) -> AsyncIterator[bytes]:
@@ -16,11 +16,11 @@ MODEL_HEADER_AUXILIARY = {
16
16
"x-goog-ext-73010990-jspb": "[0]",
17
17
}
18
18
MODEL_FAMILIES = {
19
"gemini-3.5-flash": "flash",
20
"gemini-3.5-flash-thinking": "thinking",
19
"gemini-3.6-flash": "flash",
20
"gemini-3.5-flash-lite": "flash",
21
21
"gemini-3.1-pro": "pro",
22
22
}
23
ANONYMOUS_MODELS = {"gemini-3.5-flash", "gemini-auto"}
23
ANONYMOUS_MODELS = {"gemini-3.6-flash", "gemini-3.5-flash-lite"}
24
24
KNOWN_MODEL_IDS = {
25
25
"fbb127bbb056c959": "flash",
26
26
"5bf011840784117a": "thinking",
@@ -424,6 +424,18 @@ gemini_3_1_flash_lite = Model(
424
424
best_provider = "Gemini"
425
425
)
426
426
427
gemini_3_6_flash = Model(
428
name = 'gemini-3.6-flash',
429
base_provider = 'Google',
430
best_provider = "Gemini"
431
)
432
433
gemini_3_5_flash_lite = Model(
434
name = 'gemini-3.5-flash-lite',
435
base_provider = 'Google',
436
best_provider = "Gemini"
437
)
438
427
439
gemini_3_5_flash = Model(
428
440
name = 'gemini-3.5-flash',
429
441
base_provider = 'Google',
@@ -311,6 +311,12 @@ model_map = {
311
311
"Pollinations": "gemini",
312
312
"Puter": "openrouter:google/gemini-3.5-flash"
313
313
},
314
"gemini-3.6-flash": {
315
"Gemini": "gemini-3.6-flash"
316
},
317
"gemini-3.5-flash-lite": {
318
"Gemini": "gemini-3.5-flash-lite"
319
},
314
320
"gemini-3.5-flash-thinking": {
315
321
"Gemini": "gemini-3.5-flash-thinking",
316
322
"GeminiPro": "gemini-3.5-flash-thinking"