OpenWebUI/open-webui
1
0
Fork 0
mirror of https://github.com/open-webui/open-webui synced 2025-05-18 20:31:36 +00:00
Code Issues Actions 4 Packages Projects Releases Wiki Activity

Merge pull request #10360 from ferret99gt/ollama-option-conversion-fixes

Browse Source 
fix: Update Ollama option handling in payload.py's convert_payload_openai_to_ollama
This commit is contained in:
Timothy Jaeryang Baek 2025-02-19 22:44:07 -08:00 committed by GitHub
commit 13e58c1b64
No known key found for this signature in database
GPG Key ID: B5690EEEBB952194
1 changed files with 9 additions and 24 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

31
backend/open_webui/utils/payload.py
View File

@ -212,34 +212,19 @@ def convert_payload_openai_to_ollama(openai_payload: dict) -> dict:
ollama_payload["format"] = openai_payload["format"] ollama_payload["format"] = openai_payload["format"]
# If there are advanced parameters in the payload, format them in Ollama's options field # If there are advanced parameters in the payload, format them in Ollama's options field
ollama_options = {}
if openai_payload.get("options"): if openai_payload.get("options"):
ollama_payload["options"] = openai_payload["options"] ollama_payload["options"] = openai_payload["options"]
ollama_options = openai_payload["options"] ollama_options = openai_payload["options"]
# Handle parameters which map directly # Re-Mapping OpenAI's `max_tokens` -> Ollama's `num_predict`
for param in ["temperature", "top_p", "seed"]: if "max_tokens" in ollama_options:
if param in openai_payload: ollama_options["num_predict"] = ollama_options["max_tokens"]
ollama_options[param] = openai_payload[param] del ollama_options["max_tokens"] # To prevent Ollama warning of invalid option provided
# Mapping OpenAI's `max_tokens` -> Ollama's `num_predict` # Ollama lacks a "system" prompt option. It has to be provided as a direct parameter, so we copy it down.
if "max_completion_tokens" in openai_payload: if "system" in ollama_options:
ollama_options["num_predict"] = openai_payload["max_completion_tokens"] ollama_payload["system"] = ollama_options["system"]
elif "max_tokens" in openai_payload: del ollama_options["system"] # To prevent Ollama warning of invalid option provided
ollama_options["num_predict"] = openai_payload["max_tokens"]
# Handle frequency / presence_penalty, which needs renaming and checking
if "frequency_penalty" in openai_payload:
ollama_options["repeat_penalty"] = openai_payload["frequency_penalty"]
if "presence_penalty" in openai_payload and "penalty" not in ollama_options:
# We are assuming presence penalty uses a similar concept in Ollama, which needs custom handling if exists.
ollama_options["new_topic_penalty"] = openai_payload["presence_penalty"]
# Add options to payload if any have been set
if ollama_options:
ollama_payload["options"] = ollama_options
if "metadata" in openai_payload: if "metadata" in openai_payload:
ollama_payload["metadata"] = openai_payload["metadata"] ollama_payload["metadata"] = openai_payload["metadata"]