mirror of
https://github.com/open-webui/open-webui
synced 2025-02-22 21:32:32 +00:00
Merge branch 'dev' of https://github.com/open-webui/open-webui into dev
This commit is contained in:
commit
c28d82b10d
@ -217,12 +217,19 @@ def openai_chat_chunk_message_template(
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def openai_chat_completion_message_template(
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model: str, message: Optional[str] = None, usage: Optional[dict] = None
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model: str,
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message: Optional[str] = None,
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tool_calls: Optional[list[dict]] = None,
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usage: Optional[dict] = None
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) -> dict:
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template = openai_chat_message_template(model)
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template["object"] = "chat.completion"
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if message is not None:
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template["choices"][0]["message"] = {"content": message, "role": "assistant"}
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if tool_calls:
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template["choices"][0]["tool_calls"] = tool_calls
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template["choices"][0]["finish_reason"] = "stop"
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if usage:
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@ -6,9 +6,31 @@ from open_webui.utils.misc import (
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)
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def convert_ollama_tool_call_to_openai(tool_calls: dict) -> dict:
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openai_tool_calls = []
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for tool_call in tool_calls:
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openai_tool_call = {
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"index": tool_call.get("index", 0),
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"id": tool_call.get("id", f"call_{str(uuid4())}"),
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"type": "function",
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"function": {
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"name": tool_call.get("function", {}).get("name", ""),
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"arguments": json.dumps(
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tool_call.get('function', {}).get('arguments', {})
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),
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},
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}
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openai_tool_calls.append(openai_tool_call)
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return openai_tool_calls
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def convert_response_ollama_to_openai(ollama_response: dict) -> dict:
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model = ollama_response.get("model", "ollama")
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message_content = ollama_response.get("message", {}).get("content", "")
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tool_calls = ollama_response.get("message", {}).get("tool_calls", None)
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openai_tool_calls = None
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if tool_calls:
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openai_tool_calls = convert_ollama_tool_call_to_openai(tool_calls)
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data = ollama_response
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usage = {
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@ -51,7 +73,7 @@ def convert_response_ollama_to_openai(ollama_response: dict) -> dict:
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),
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}
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response = openai_chat_completion_message_template(model, message_content, usage)
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response = openai_chat_completion_message_template(model, message_content, openai_tool_calls, usage)
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return response
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@ -65,20 +87,7 @@ async def convert_streaming_response_ollama_to_openai(ollama_streaming_response)
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openai_tool_calls = None
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if tool_calls:
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openai_tool_calls = []
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for tool_call in tool_calls:
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openai_tool_call = {
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"index": tool_call.get("index", 0),
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"id": tool_call.get("id", f"call_{str(uuid4())}"),
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"type": "function",
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"function": {
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"name": tool_call.get("function", {}).get("name", ""),
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"arguments": json.dumps(
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tool_call.get("function", {}).get("arguments", {})
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),
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},
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}
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openai_tool_calls.append(openai_tool_call)
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openai_tool_calls = convert_ollama_tool_call_to_openai(tool_calls)
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done = data.get("done", False)
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