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

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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
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38
g4f/Provider/GradientNetwork.py
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@ -11,7 +11,7 @@ from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
class GradientNetwork(AsyncGeneratorProvider, ProviderModelMixin):
"""
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"
url = "https://chat.gradient.network"
@ -23,18 +23,15 @@ class GradientNetwork(AsyncGeneratorProvider, ProviderModelMixin):
supports_system_message = True
supports_message_history = True
default_model = "qwen3-235b"
default_model = "Qwen3 235B"
models = [
default_model,
"qwen3-32b",
"deepseek-r1-0528",
"deepseek-v3-0324",
"llama-4-maverick",
"GPT OSS 120B",
]
model_aliases = {
"qwen-3-235b": "qwen3-235b",
"deepseek-r1": "deepseek-r1-0528",
"deepseek-v3": "deepseek-v3-0324",
"qwen-3-235b": "Qwen3 235B",
"qwen3-235b": "Qwen3 235B",
"gpt-oss-120b": "GPT OSS 120B",
}
@classmethod
@ -62,7 +59,7 @@ class GradientNetwork(AsyncGeneratorProvider, ProviderModelMixin):
Yields:
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)
@ -101,22 +98,17 @@ class GradientNetwork(AsyncGeneratorProvider, ProviderModelMixin):
data = json.loads(line)
msg_type = data.get("type")
if msg_type == "text":
# Regular text content
content = data.get("data")
if msg_type == "reply":
# Response chunks with content or reasoningContent
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:
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"):
# Skip GPU cluster visualization messages
continue