Merge pull request #10373 from dannyl1u/logit_bias

feat: logit bias

backend/open_webui/utils/middleware.py

@@ -68,6 +68,7 @@ from open_webui.utils.misc import (
     get_last_user_message,
     get_last_assistant_message,
     prepend_to_first_user_message_content,
+    convert_logit_bias_input_to_json
 )
 from open_webui.utils.tools import get_tools
 from open_webui.utils.plugin import load_function_module_by_id
@@ -610,6 +611,11 @@ def apply_params_to_form_data(form_data, model):
 
         if "reasoning_effort" in params:
             form_data["reasoning_effort"] = params["reasoning_effort"]
+        if "logit_bias" in params:
+            try:
+                form_data["logit_bias"] = json.loads(convert_logit_bias_input_to_json(params["logit_bias"]))
+            except Exception as e:
+                print(f"Error parsing logit_bias: {e}")
 
     return form_data
 

backend/open_webui/utils/misc.py

@@ -6,6 +6,7 @@ import logging
 from datetime import timedelta
 from pathlib import Path
 from typing import Callable, Optional
+import json
 
 
 import collections.abc
@@ -450,3 +451,14 @@ def parse_ollama_modelfile(model_text):
         data["params"]["messages"] = messages
 
     return data
+
+def convert_logit_bias_input_to_json(user_input):
+    logit_bias_pairs = user_input.split(',')
+    logit_bias_json = {}
+    for pair in logit_bias_pairs:
+        token, bias = pair.split(':')
+        token = str(token.strip())
+        bias = int(bias.strip())
+        bias = 100 if bias > 100 else -100 if bias < -100 else bias
+        logit_bias_json[token] = bias
+    return json.dumps(logit_bias_json)

backend/open_webui/utils/payload.py

@@ -62,6 +62,7 @@ def apply_model_params_to_body_openai(params: dict, form_data: dict) -> dict:
         "reasoning_effort": str,
         "seed": lambda x: x,
         "stop": lambda x: [bytes(s, "utf-8").decode("unicode_escape") for s in x],
+        "logit_bias": lambda x: x,
     }
     return apply_model_params_to_body(params, form_data, mappings)