refac: task ollama stream support

This commit is contained in:
Timothy J. Baek 2024-09-21 01:07:57 +02:00
parent 41926172d3
commit 3a0a1aca11
3 changed files with 69 additions and 12 deletions

View File

@ -138,7 +138,10 @@ from open_webui.utils.utils import (
from open_webui.utils.webhook import post_webhook
from open_webui.utils.payload import convert_payload_openai_to_ollama
from open_webui.utils.response import convert_response_ollama_to_openai
from open_webui.utils.response import (
convert_response_ollama_to_openai,
convert_streaming_response_ollama_to_openai,
)
if SAFE_MODE:
print("SAFE MODE ENABLED")
@ -1470,6 +1473,13 @@ Prompt: {{prompt:middletruncate:8000}}"""
payload = convert_payload_openai_to_ollama(payload)
form_data = GenerateChatCompletionForm(**payload)
response = await generate_ollama_chat_completion(form_data=form_data, user=user)
if form_data.stream:
response.headers["content-type"] = "text/event-stream"
return StreamingResponse(
convert_streaming_response_ollama_to_openai(response),
headers=dict(response.headers),
)
else:
return convert_response_ollama_to_openai(response)
else:
return await generate_chat_completions(form_data=payload, user=user)
@ -1554,6 +1564,13 @@ Search Query:"""
payload = convert_payload_openai_to_ollama(payload)
form_data = GenerateChatCompletionForm(**payload)
response = await generate_ollama_chat_completion(form_data=form_data, user=user)
if form_data.stream:
response.headers["content-type"] = "text/event-stream"
return StreamingResponse(
convert_streaming_response_ollama_to_openai(response),
headers=dict(response.headers),
)
else:
return convert_response_ollama_to_openai(response)
else:
return await generate_chat_completions(form_data=payload, user=user)
@ -1629,6 +1646,13 @@ Message: """{{prompt}}"""
payload = convert_payload_openai_to_ollama(payload)
form_data = GenerateChatCompletionForm(**payload)
response = await generate_ollama_chat_completion(form_data=form_data, user=user)
if form_data.stream:
response.headers["content-type"] = "text/event-stream"
return StreamingResponse(
convert_streaming_response_ollama_to_openai(response),
headers=dict(response.headers),
)
else:
return convert_response_ollama_to_openai(response)
else:
return await generate_chat_completions(form_data=payload, user=user)
@ -1694,6 +1718,13 @@ Responses from models: {{responses}}"""
payload = convert_payload_openai_to_ollama(payload)
form_data = GenerateChatCompletionForm(**payload)
response = await generate_ollama_chat_completion(form_data=form_data, user=user)
if form_data.stream:
response.headers["content-type"] = "text/event-stream"
return StreamingResponse(
convert_streaming_response_ollama_to_openai(response),
headers=dict(response.headers),
)
else:
return convert_response_ollama_to_openai(response)
else:
return await generate_chat_completions(form_data=payload, user=user)

View File

@ -105,16 +105,24 @@ def openai_chat_message_template(model: str):
}
def openai_chat_chunk_message_template(model: str, message: str) -> dict:
def openai_chat_chunk_message_template(
model: str, message: Optional[str] = None
) -> dict:
template = openai_chat_message_template(model)
template["object"] = "chat.completion.chunk"
if message:
template["choices"][0]["delta"] = {"content": message}
else:
template["choices"][0]["finish_reason"] = "stop"
return template
def openai_chat_completion_message_template(model: str, message: str) -> dict:
def openai_chat_completion_message_template(
model: str, message: Optional[str] = None
) -> dict:
template = openai_chat_message_template(model)
template["object"] = "chat.completion"
if message:
template["choices"][0]["message"] = {"content": message, "role": "assistant"}
template["choices"][0]["finish_reason"] = "stop"
return template

View File

@ -1,10 +1,9 @@
from open_webui.utils.task import prompt_template
import json
from open_webui.utils.misc import (
openai_chat_chunk_message_template,
openai_chat_completion_message_template,
)
from typing import Callable, Optional
def convert_response_ollama_to_openai(ollama_response: dict) -> dict:
model = ollama_response.get("model", "ollama")
@ -12,3 +11,22 @@ def convert_response_ollama_to_openai(ollama_response: dict) -> dict:
response = openai_chat_completion_message_template(model, message_content)
return response
async def convert_streaming_response_ollama_to_openai(ollama_streaming_response):
async for data in ollama_streaming_response.body_iterator:
data = json.loads(data)
model = data.get("model", "ollama")
message_content = data.get("message", {}).get("content", "")
done = data.get("done", False)
data = openai_chat_chunk_message_template(
model, message_content if not done else None
)
line = f"data: {json.dumps(data)}\n\n"
if done:
line += "data: [DONE]\n\n"
yield line