mirrors/gpt4free
1
Fork 0
mirror of https://github.com/xtekky/gpt4free.git synced 2025-12-06 02:30:41 -08:00
Code Issues Projects Releases Packages Wiki Activity

Fix response parsing: use type "reply" with data.content/reasoningContent, update models

Browse source 
Co-authored-by: hlohaus <983577+hlohaus@users.noreply.github.com>
This commit is contained in:
copilot-swe-agent[bot] 2025-11-29 04:36:25 +00:00
parent f57663cbe8
commit 098b2401ea
1 changed files with 15 additions and 23 deletions
Download patch file Download diff file Expand all files Collapse all files

38
g4f/Provider/GradientNetwork.py
View file

@ -11,7 +11,7 @@ from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
class GradientNetwork(AsyncGeneratorProvider, ProviderModelMixin): class GradientNetwork(AsyncGeneratorProvider, ProviderModelMixin):
""" """
Provider for chat.gradient.network Provider for chat.gradient.network
Supports streaming text generation with various Qwen models. Supports streaming text generation with Qwen and GPT OSS models.
""" """
label = "Gradient Network" label = "Gradient Network"
url = "https://chat.gradient.network" url = "https://chat.gradient.network"
@ -23,18 +23,15 @@ class GradientNetwork(AsyncGeneratorProvider, ProviderModelMixin):
supports_system_message = True supports_system_message = True
supports_message_history = True supports_message_history = True
default_model = "qwen3-235b" default_model = "Qwen3 235B"
models = [ models = [
default_model, default_model,
"qwen3-32b", "GPT OSS 120B",
"deepseek-r1-0528",
"deepseek-v3-0324",
"llama-4-maverick",
] ]
model_aliases = { model_aliases = {
"qwen-3-235b": "qwen3-235b", "qwen-3-235b": "Qwen3 235B",
"deepseek-r1": "deepseek-r1-0528", "qwen3-235b": "Qwen3 235B",
"deepseek-v3": "deepseek-v3-0324", "gpt-oss-120b": "GPT OSS 120B",
} }
@classmethod @classmethod
@ -62,7 +59,7 @@ class GradientNetwork(AsyncGeneratorProvider, ProviderModelMixin):
Yields: Yields:
str: Content chunks from the response str: Content chunks from the response
Reasoning: Thinking content when enable_thinking is True Reasoning: Reasoning content when enable_thinking is True
""" """
model = cls.get_model(model) model = cls.get_model(model)
@ -101,22 +98,17 @@ class GradientNetwork(AsyncGeneratorProvider, ProviderModelMixin):
data = json.loads(line) data = json.loads(line)
msg_type = data.get("type") msg_type = data.get("type")
if msg_type == "text": if msg_type == "reply":
# Regular text content # Response chunks with content or reasoningContent
content = data.get("data") reply_data = data.get("data", {})
content = reply_data.get("content")
reasoning_content = reply_data.get("reasoningContent")
if reasoning_content:
yield Reasoning(reasoning_content)
if content: if content:
yield content yield content
elif msg_type == "thinking":
# Thinking/reasoning content
content = data.get("data")
if content:
yield Reasoning(content)
elif msg_type == "done":
# Stream complete
break
elif msg_type in ("clusterInfo", "blockUpdate"): elif msg_type in ("clusterInfo", "blockUpdate"):
# Skip GPU cluster visualization messages # Skip GPU cluster visualization messages
continue continue