mirror of
https://github.com/open-webui/open-webui
synced 2025-04-22 15:33:21 +00:00
refac: max_tokens -> max_completion_tokens
This commit is contained in:
parent
60d6279055
commit
f8fffdd288
@ -1398,9 +1398,9 @@ async def generate_title(form_data: dict, user=Depends(get_verified_user)):
|
|||||||
|
|
||||||
# Check if the user has a custom task model
|
# Check if the user has a custom task model
|
||||||
# If the user has a custom task model, use that model
|
# If the user has a custom task model, use that model
|
||||||
model_id = get_task_model_id(model_id)
|
task_model_id = get_task_model_id(model_id)
|
||||||
|
|
||||||
print(model_id)
|
print(task_model_id)
|
||||||
|
|
||||||
if app.state.config.TITLE_GENERATION_PROMPT_TEMPLATE != "":
|
if app.state.config.TITLE_GENERATION_PROMPT_TEMPLATE != "":
|
||||||
template = app.state.config.TITLE_GENERATION_PROMPT_TEMPLATE
|
template = app.state.config.TITLE_GENERATION_PROMPT_TEMPLATE
|
||||||
@ -1427,10 +1427,16 @@ Prompt: {{prompt:middletruncate:8000}}"""
|
|||||||
)
|
)
|
||||||
|
|
||||||
payload = {
|
payload = {
|
||||||
"model": model_id,
|
"model": task_model_id,
|
||||||
"messages": [{"role": "user", "content": content}],
|
"messages": [{"role": "user", "content": content}],
|
||||||
"stream": False,
|
"stream": False,
|
||||||
"max_tokens": 50,
|
**(
|
||||||
|
{"max_tokens": 50}
|
||||||
|
if app.state.MODELS[task_model_id]["owned_by"] == "ollama"
|
||||||
|
else {
|
||||||
|
"max_completion_tokens": 50,
|
||||||
|
}
|
||||||
|
),
|
||||||
"chat_id": form_data.get("chat_id", None),
|
"chat_id": form_data.get("chat_id", None),
|
||||||
"metadata": {"task": str(TASKS.TITLE_GENERATION)},
|
"metadata": {"task": str(TASKS.TITLE_GENERATION)},
|
||||||
}
|
}
|
||||||
@ -1475,9 +1481,8 @@ async def generate_search_query(form_data: dict, user=Depends(get_verified_user)
|
|||||||
|
|
||||||
# Check if the user has a custom task model
|
# Check if the user has a custom task model
|
||||||
# If the user has a custom task model, use that model
|
# If the user has a custom task model, use that model
|
||||||
model_id = get_task_model_id(model_id)
|
task_model_id = get_task_model_id(model_id)
|
||||||
|
print(task_model_id)
|
||||||
print(model_id)
|
|
||||||
|
|
||||||
if app.state.config.SEARCH_QUERY_GENERATION_PROMPT_TEMPLATE != "":
|
if app.state.config.SEARCH_QUERY_GENERATION_PROMPT_TEMPLATE != "":
|
||||||
template = app.state.config.SEARCH_QUERY_GENERATION_PROMPT_TEMPLATE
|
template = app.state.config.SEARCH_QUERY_GENERATION_PROMPT_TEMPLATE
|
||||||
@ -1499,10 +1504,16 @@ Search Query:"""
|
|||||||
print("content", content)
|
print("content", content)
|
||||||
|
|
||||||
payload = {
|
payload = {
|
||||||
"model": model_id,
|
"model": task_model_id,
|
||||||
"messages": [{"role": "user", "content": content}],
|
"messages": [{"role": "user", "content": content}],
|
||||||
"stream": False,
|
"stream": False,
|
||||||
"max_tokens": 30,
|
**(
|
||||||
|
{"max_tokens": 30}
|
||||||
|
if app.state.MODELS[task_model_id]["owned_by"] == "ollama"
|
||||||
|
else {
|
||||||
|
"max_completion_tokens": 30,
|
||||||
|
}
|
||||||
|
),
|
||||||
"metadata": {"task": str(TASKS.QUERY_GENERATION)},
|
"metadata": {"task": str(TASKS.QUERY_GENERATION)},
|
||||||
}
|
}
|
||||||
|
|
||||||
@ -1541,9 +1552,8 @@ async def generate_emoji(form_data: dict, user=Depends(get_verified_user)):
|
|||||||
|
|
||||||
# Check if the user has a custom task model
|
# Check if the user has a custom task model
|
||||||
# If the user has a custom task model, use that model
|
# If the user has a custom task model, use that model
|
||||||
model_id = get_task_model_id(model_id)
|
task_model_id = get_task_model_id(model_id)
|
||||||
|
print(task_model_id)
|
||||||
print(model_id)
|
|
||||||
|
|
||||||
template = '''
|
template = '''
|
||||||
Your task is to reflect the speaker's likely facial expression through a fitting emoji. Interpret emotions from the message and reflect their facial expression using fitting, diverse emojis (e.g., 😊, 😢, 😡, 😱).
|
Your task is to reflect the speaker's likely facial expression through a fitting emoji. Interpret emotions from the message and reflect their facial expression using fitting, diverse emojis (e.g., 😊, 😢, 😡, 😱).
|
||||||
@ -1561,10 +1571,16 @@ Message: """{{prompt}}"""
|
|||||||
)
|
)
|
||||||
|
|
||||||
payload = {
|
payload = {
|
||||||
"model": model_id,
|
"model": task_model_id,
|
||||||
"messages": [{"role": "user", "content": content}],
|
"messages": [{"role": "user", "content": content}],
|
||||||
"stream": False,
|
"stream": False,
|
||||||
"max_tokens": 4,
|
**(
|
||||||
|
{"max_tokens": 4}
|
||||||
|
if app.state.MODELS[task_model_id]["owned_by"] == "ollama"
|
||||||
|
else {
|
||||||
|
"max_completion_tokens": 4,
|
||||||
|
}
|
||||||
|
),
|
||||||
"chat_id": form_data.get("chat_id", None),
|
"chat_id": form_data.get("chat_id", None),
|
||||||
"metadata": {"task": str(TASKS.EMOJI_GENERATION)},
|
"metadata": {"task": str(TASKS.EMOJI_GENERATION)},
|
||||||
}
|
}
|
||||||
|
Loading…
Reference in New Issue
Block a user