Emil_Shanaty/open-webui-ai4me
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

refac

Browse Source
This commit is contained in:
Timothy Jaeryang Baek
2026-03-21 20:46:25 -05:00
parent f8b3a32caf
commit 93415a48e8
2 changed files with 59 additions and 22 deletions
Download Patch File Download Diff File Expand all files Collapse all files
backend/open_webui/routers/openai.py
+32 -4
View File
@@ -858,6 +858,9 @@ def convert_to_responses_payload(payload: dict) -> dict:
if 'max_tokens' in responses_payload:
responses_payload['max_output_tokens'] = responses_payload.pop('max_tokens')
if 'max_completion_tokens' in responses_payload:
responses_payload['max_output_tokens'] = responses_payload.pop('max_completion_tokens')
# Remove Chat Completions-only parameters not supported by the Responses API
for unsupported_key in (
'stream_options',
@@ -896,11 +899,36 @@ def convert_to_responses_payload(payload: dict) -> dict:
def convert_responses_result(response: dict) -> dict:
"""
Convert non-streaming Responses API result.
Just add done flag - pass through raw response, frontend handles output.
Convert non-streaming Responses API result to Chat Completions format.
Extracts text from message output items so all downstream consumers
(frontend tasks, get_content_from_response) work without modification.
"""
response['done'] = True
return response
output_items = response.get('output', [])
content = ''
for item in output_items:
if item.get('type') == 'message':
for part in item.get('content', []):
if part.get('type') == 'output_text':
content += part.get('text', '')
return {
'id': response.get('id', ''),
'object': 'chat.completion',
'model': response.get('model', ''),
'choices': [
{
'index': 0,
'message': {
'role': 'assistant',
'content': content,
},
'finish_reason': 'stop',
}
],
'usage': response.get('usage', {}),
}
@router.post('/chat/completions')
backend/open_webui/utils/middleware.py
+27 -18
View File
@@ -3367,6 +3367,9 @@ async def streaming_chat_response_handler(response, ctx):
usage = None
prior_output = []
def full_output():
return prior_output + output if prior_output else output
reasoning_tags_param = metadata.get('params', {}).get('reasoning_tags')
DETECT_REASONING_TAGS = reasoning_tags_param is not False
DETECT_CODE_INTERPRETER = metadata.get('features', {}).get('code_interpreter', False)
@@ -3476,8 +3479,8 @@ async def streaming_chat_response_handler(response, ctx):
output, response_metadata = handle_responses_streaming_event(data, output)
processed_data = {
'output': prior_output + output,
'content': serialize_output(prior_output + output),
'output': full_output(),
'content': serialize_output(full_output()),
}
# print(data)
@@ -3832,13 +3835,13 @@ async def streaming_chat_response_handler(response, ctx):
metadata['chat_id'],
metadata['message_id'],
{
'content': serialize_output(output),
'output': output,
'content': serialize_output(full_output()),
'output': full_output(),
},
)
else:
data = {
'content': serialize_output(output),
'content': serialize_output(full_output()),
}
if delta:
@@ -3952,26 +3955,32 @@ async def streaming_chat_response_handler(response, ctx):
response_tool_calls = tool_calls.pop(0)
# Append function_call items for each tool call
# (Responses API already has them from streaming, so skip duplicates)
existing_call_ids = {
item.get('call_id') for item in output
if item.get('type') == 'function_call'
}
for tc in response_tool_calls:
call_id = tc.get('id', '')
func = tc.get('function', {})
output.append(
{
'type': 'function_call',
'id': call_id or output_id('fc'),
'call_id': call_id,
'name': func.get('name', ''),
'arguments': func.get('arguments', '{}'),
'status': 'in_progress',
}
)
if call_id not in existing_call_ids:
func = tc.get('function', {})
output.append(
{
'type': 'function_call',
'id': call_id or output_id('fc'),
'call_id': call_id,
'name': func.get('name', ''),
'arguments': func.get('arguments', '{}'),
'status': 'in_progress',
}
)
await event_emitter(
{
'type': 'chat:completion',
'data': {
'content': serialize_output(output),
'output': output,
'content': serialize_output(full_output()),
'output': full_output(),
},
}
)