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Diffstat (limited to '')
| -rw-r--r-- | g4f/Provider/FlowGpt.py | 7 |
1 files changed, 6 insertions, 1 deletions
diff --git a/g4f/Provider/FlowGpt.py b/g4f/Provider/FlowGpt.py index 93e7955c..d84bd81d 100644 --- a/g4f/Provider/FlowGpt.py +++ b/g4f/Provider/FlowGpt.py @@ -5,12 +5,14 @@ from aiohttp import ClientSession from ..typing import AsyncResult, Messages from .base_provider import AsyncGeneratorProvider, ProviderModelMixin +from ..errors import RateLimitError class FlowGpt(AsyncGeneratorProvider, ProviderModelMixin): url = "https://flowgpt.com/chat" working = True supports_gpt_35_turbo = True supports_message_history = True + supports_system_message = True default_model = "gpt-3.5-turbo" models = [ "gpt-3.5-turbo", @@ -30,6 +32,7 @@ class FlowGpt(AsyncGeneratorProvider, ProviderModelMixin): model: str, messages: Messages, proxy: str = None, + temperature: float = 0.7, **kwargs ) -> AsyncResult: model = cls.get_model(model) @@ -59,7 +62,7 @@ class FlowGpt(AsyncGeneratorProvider, ProviderModelMixin): "question": messages[-1]["content"], "history": [{"role": "assistant", "content": "Hello, how can I help you today?"}, *history], "system": system_message, - "temperature": kwargs.get("temperature", 0.7), + "temperature": temperature, "promptId": f"model-{model}", "documentIds": [], "chatFileDocumentIds": [], @@ -67,6 +70,8 @@ class FlowGpt(AsyncGeneratorProvider, ProviderModelMixin): "generateAudio": False } async with session.post("https://backend-k8s.flowgpt.com/v2/chat-anonymous", json=data, proxy=proxy) as response: + if response.status == 429: + raise RateLimitError("Rate limit reached") response.raise_for_status() async for chunk in response.content: if chunk.strip(): |