0.9.1 finalizing

models.py

@@ -13,6 +13,7 @@ from typing import (
 )
 
 from litellm import completion, acompletion, embedding
+import litellm
 from python.helpers import dotenv
 from python.helpers.dotenv import load_dotenv
 from python.helpers.rate_limiter import RateLimiter
@@ -34,6 +35,7 @@ from langchain.embeddings.base import Embeddings
 
 load_dotenv()
 os.environ['LITELLM_LOG'] = "ERROR" # only errors
+litellm.suppress_debug_info = True
 
 
 class ModelType(Enum):
@@ -428,11 +430,12 @@ def _get_litellm_chat(
     base_url = dotenv.get_dotenv_value(f"{provider_name.upper()}_BASE_URL")
 
     # If a base_url is set, ensure api_key is not passed to litellm
-    if base_url:
-        if "api_key" in kwargs:
-            del kwargs["api_key"]
+    # > remove, this can be handled by api_key=None
+    # if base_url:
+    #     if "api_key" in kwargs:
+    #         del kwargs["api_key"]
     # Only pass API key if no base_url is set and key is not a placeholder
-    elif api_key and api_key not in ("None", "NA"):
+    if api_key and api_key not in ("None", "NA"):
         kwargs["api_key"] = api_key
 
     # for openrouter add app reference
@@ -459,11 +462,12 @@ def get_litellm_embedding(model_name: str, provider: str, **kwargs: Any):
     base_url = dotenv.get_dotenv_value(f"{provider.upper()}_BASE_URL")
 
     # If a base_url is set, ensure api_key is not passed to litellm
-    if base_url:
-        if "api_key" in kwargs:
-            del kwargs["api_key"]
+    # > remove, this can be handled by api_key=None
+    # if base_url:
+    #     if "api_key" in kwargs:
+    #         del kwargs["api_key"]
     # Only pass API key if no base_url is set and key is not a placeholder
-    elif api_key and api_key not in ("None", "NA"):
+    if api_key and api_key not in ("None", "NA"):
         kwargs["api_key"] = api_key
 
     return LiteLLMEmbeddingWrapper(model=model_name, provider=provider, **kwargs)

python/helpers/files.py

@@ -59,7 +59,6 @@ def load_plugin_variables(file: str, backup_dirs: list[str] | None = None) -> di
         # iterate backwards to skip imported superclasses
         for cls in reversed(class_list):
             if cls[1] is not VariablesPlugin and issubclass(cls[1], VariablesPlugin):
-                PrintStyle().debug(f"Loading prompt variables from {plugin_file}")
                 return cls[1]().get_variables()  # type: ignore
     return {}
 

python/helpers/memory.py

@@ -30,7 +30,10 @@ from python.helpers.log import Log, LogItem
 from enum import Enum
 from agent import Agent, ModelConfig
 import models
+import logging
 
+# Raise the log level so WARNING messages aren't shown
+logging.getLogger("langchain_core.vectorstores.base").setLevel(logging.ERROR)
 
 class MyFaiss(FAISS):
     # override aget_by_ids

python/helpers/settings.py

@@ -960,8 +960,8 @@ def get_default_settings() -> Settings:
 
     return Settings(
         version=_get_version(),
-        chat_model_provider=ModelProvider.OPENAI.name,
-        chat_model_name="gpt-4.1",
+        chat_model_provider=ModelProvider.OPENROUTER.name,
+        chat_model_name="openai/gpt-4.1",
         chat_model_kwargs={"temperature": "0"},
         chat_model_ctx_length=100000,
         chat_model_ctx_history=0.7,
@@ -969,8 +969,8 @@ def get_default_settings() -> Settings:
         chat_model_rl_requests=0,
         chat_model_rl_input=0,
         chat_model_rl_output=0,
-        util_model_provider=ModelProvider.OPENAI.name,
-        util_model_name="gpt-4.1-nano",
+        util_model_provider=ModelProvider.OPENROUTER.name,
+        util_model_name="openai/gpt-4.1-nano",
         util_model_ctx_length=100000,
         util_model_ctx_input=0.7,
         util_model_kwargs={"temperature": "0"},
@@ -982,8 +982,8 @@ def get_default_settings() -> Settings:
         embed_model_kwargs={},
         embed_model_rl_requests=0,
         embed_model_rl_input=0,
-        browser_model_provider=ModelProvider.OPENAI.name,
-        browser_model_name="gpt-4.1",
+        browser_model_provider=ModelProvider.OPENROUTER.name,
+        browser_model_name="openai/gpt-4.1",
         browser_model_vision=True,
         browser_model_kwargs={"temperature": "0"},
         api_keys={},

requirements.txt

@@ -11,6 +11,7 @@ flaredantic==0.1.4
 GitPython==3.1.43
 inputimeout==1.0.4
 langchain-core==0.3.49
+langchain-community==0.3.19
 openai-whisper==20240930
 lxml_html_clean==0.3.1
 markdown==3.7

webui/components/messages/resize/message-resize-store.js

@@ -13,6 +13,7 @@ const model = {
 
   _getDefaultSettings() {
     return {
+      "message": { minimized: false, maximized: false },
       "message-agent": { minimized: true, maximized: false },
       "message-agent-response": { minimized: false, maximized: true },
     };
@@ -116,12 +117,12 @@ const model = {
     toggleCssProperty(
       `.${className} .message-body`,
       "max-height",
-      setting.maximized ? undefined : "30em"
+      setting.maximized ? "unset" : "30em"
     );
     toggleCssProperty(
       `.${className} .message-body`,
       "overflow-y",
-      setting.maximized ? undefined : "auto"
+      setting.maximized ? "unset" : "auto"
     );
     toggleCssProperty(
       `.${className} .message-body`,

webui/css/messages.css

@@ -244,7 +244,7 @@
   margin: 0;
   /* width: calc(100% - 4em); */
   margin-right: 4em;
-  overflow-y: hidden;
+  overflow: hidden;
   text-overflow: ellipsis;
 }
 

webui/index.js

@@ -28,6 +28,10 @@ setupSidebarToggle();
 // Initialize tabs
 setupTabs();
 
+export function getAutoScroll() {
+  return autoScroll;
+}
+
 function isMobile() {
   return window.innerWidth <= 768;
 }

webui/js/messages.js

@@ -2,6 +2,7 @@
 import { openImageModal } from "./image_modal.js";
 import { marked } from "../vendor/marked/marked.esm.js";
 import { store as messageResizeStore } from "/components/messages/resize/message-resize-store.js";
+import { getAutoScroll } from "/index.js";
 
 const chatHistory = document.getElementById("chat-history");
 
@@ -237,9 +238,10 @@ export function _drawMessage(
   }
 
   // autoscroll the body if needed
-  setTimeout(() => {
-    bodyDiv.scrollTop = bodyDiv.scrollHeight;
-  }, 0);
+  // if (getAutoScroll()) #TODO needs a better redraw system
+    setTimeout(() => {
+      bodyDiv.scrollTop = bodyDiv.scrollHeight;
+    }, 0);
 
   return messageDiv;
 }
@@ -361,7 +363,8 @@ export function drawMessageUser(
 
   const headingElement = document.createElement("h4");
   headingElement.classList.add("msg-heading");
-  headingElement.innerHTML = "User message <span class='icon material-symbols-outlined'>person</span>";
+  headingElement.innerHTML =
+    "User message <span class='icon material-symbols-outlined'>person</span>";
   messageDiv.appendChild(headingElement);
 
   if (content && content.trim().length > 0) {
@@ -658,6 +661,7 @@ function drawKvps(container, kvps, latex) {
       }
 
       // autoscroll the KVP value if needed
+      // if (getAutoScroll()) #TODO needs a better redraw system
       setTimeout(() => {
         tdiv.scrollTop = tdiv.scrollHeight;
       }, 0);
@@ -823,17 +827,17 @@ function convertPathsToLinks(str) {
 
 function adjustMarkdownRender(element) {
   // find all tables in the element
-  const tables = element.querySelectorAll('table');
-  
+  const tables = element.querySelectorAll("table");
+
   // wrap each table with a div with class message-markdown-table-wrap
-  tables.forEach(table => {
+  tables.forEach((table) => {
     // create wrapper div
-    const wrapper = document.createElement('div');
-    wrapper.className = 'message-markdown-table-wrap';
-    
+    const wrapper = document.createElement("div");
+    wrapper.className = "message-markdown-table-wrap";
+
     // insert wrapper before table in the DOM
     table.parentNode.insertBefore(wrapper, table);
-    
+
     // move table into wrapper
     wrapper.appendChild(table);
   });