feat: add num_ctx slider when provider is ollama and add predefined model names for ollama

src/utils/default_config_settings.py

@@ -14,6 +14,7 @@ def default_config():
         "tool_calling_method": "auto",
         "llm_provider": "openai",
         "llm_model_name": "gpt-4o",
+        "llm_num_ctx": 32000,
         "llm_temperature": 1.0,
         "llm_base_url": "",
         "llm_api_key": "",
@@ -59,20 +60,21 @@ def save_current_config(*args):
         "tool_calling_method": args[4],
         "llm_provider": args[5],
         "llm_model_name": args[6],
-        "llm_temperature": args[7],
-        "llm_base_url": args[8],
-        "llm_api_key": args[9],
-        "use_own_browser": args[10],
-        "keep_browser_open": args[11],
-        "headless": args[12],
-        "disable_security": args[13],
-        "enable_recording": args[14],
-        "window_w": args[15],
-        "window_h": args[16],
-        "save_recording_path": args[17],
-        "save_trace_path": args[18],
-        "save_agent_history_path": args[19],
-        "task": args[20],
+        "llm_num_ctx": args[7],
+        "llm_temperature": args[8],
+        "llm_base_url": args[9],
+        "llm_api_key": args[10],
+        "use_own_browser": args[11],
+        "keep_browser_open": args[12],
+        "headless": args[13],
+        "disable_security": args[14],
+        "enable_recording": args[15],
+        "window_w": args[16],
+        "window_h": args[17],
+        "save_recording_path": args[18],
+        "save_trace_path": args[19],
+        "save_agent_history_path": args[20],
+        "task": args[21],
     }
     return save_config_to_file(current_config)
 
@@ -89,6 +91,7 @@ def update_ui_from_config(config_file):
                 gr.update(value=loaded_config.get("tool_calling_method", True)),
                 gr.update(value=loaded_config.get("llm_provider", "openai")),
                 gr.update(value=loaded_config.get("llm_model_name", "gpt-4o")),
+                gr.update(value=loaded_config.get("llm_num_ctx", 32000)),
                 gr.update(value=loaded_config.get("llm_temperature", 1.0)),
                 gr.update(value=loaded_config.get("llm_base_url", "")),
                 gr.update(value=loaded_config.get("llm_api_key", "")),

src/utils/utils.py

@@ -167,7 +167,7 @@ model_names = {
     "openai": ["gpt-4o", "gpt-4", "gpt-3.5-turbo", "o3-mini"],
     "deepseek": ["deepseek-chat", "deepseek-reasoner"],
     "google": ["gemini-2.0-flash", "gemini-2.0-flash-thinking-exp", "gemini-1.5-flash-latest", "gemini-1.5-flash-8b-latest", "gemini-2.0-flash-thinking-exp-01-21", "gemini-2.0-pro-exp-02-05"],
-    "ollama": ["qwen2.5:7b", "llama2:7b", "deepseek-r1:14b", "deepseek-r1:32b"],
+    "ollama": ["qwen2.5:7b", "qwen2.5:14b", "qwen2.5:32b", "qwen2.5-coder:14b", "qwen2.5-coder:32b", "llama2:7b", "deepseek-r1:14b", "deepseek-r1:32b"],
     "azure_openai": ["gpt-4o", "gpt-4", "gpt-3.5-turbo"],
     "mistral": ["pixtral-large-latest", "mistral-large-latest", "mistral-small-latest", "ministral-8b-latest"],
     "alibaba": ["qwen-plus", "qwen-max", "qwen-turbo", "qwen-long"]

webui.py

@@ -99,6 +99,7 @@ async def run_browser_agent(
         agent_type,
         llm_provider,
         llm_model_name,
+        llm_num_ctx,
         llm_temperature,
         llm_base_url,
         llm_api_key,
@@ -143,6 +144,7 @@ async def run_browser_agent(
         llm = utils.get_llm_model(
             provider=llm_provider,
             model_name=llm_model_name,
+            num_ctx=llm_num_ctx,
             temperature=llm_temperature,
             base_url=llm_base_url,
             api_key=llm_api_key,
@@ -431,6 +433,7 @@ async def run_with_stream(
     agent_type,
     llm_provider,
     llm_model_name,
+    llm_num_ctx,
     llm_temperature,
     llm_base_url,
     llm_api_key,
@@ -459,6 +462,7 @@ async def run_with_stream(
             agent_type=agent_type,
             llm_provider=llm_provider,
             llm_model_name=llm_model_name,
+            llm_num_ctx=llm_num_ctx,
             llm_temperature=llm_temperature,
             llm_base_url=llm_base_url,
             llm_api_key=llm_api_key,
@@ -491,6 +495,7 @@ async def run_with_stream(
                     agent_type=agent_type,
                     llm_provider=llm_provider,
                     llm_model_name=llm_model_name,
+                    llm_num_ctx=llm_num_ctx,
                     llm_temperature=llm_temperature,
                     llm_base_url=llm_base_url,
                     llm_api_key=llm_api_key,
@@ -623,7 +628,7 @@ async def close_global_browser():
         await _global_browser.close()
         _global_browser = None
         
-async def run_deep_search(research_task, max_search_iteration_input, max_query_per_iter_input, llm_provider, llm_model_name, llm_temperature, llm_base_url, llm_api_key, use_vision, use_own_browser, headless):
+async def run_deep_search(research_task, max_search_iteration_input, max_query_per_iter_input, llm_provider, llm_model_name, llm_num_ctx, llm_temperature, llm_base_url, llm_api_key, use_vision, use_own_browser, headless):
     from src.utils.deep_research import deep_research
     global _global_agent_state
 
@@ -633,6 +638,7 @@ async def run_deep_search(research_task, max_search_iteration_input, max_query_p
     llm = utils.get_llm_model(
             provider=llm_provider,
             model_name=llm_model_name,
+            num_ctx=llm_num_ctx,
             temperature=llm_temperature,
             base_url=llm_base_url,
             api_key=llm_api_key,
@@ -736,6 +742,15 @@ def create_ui(config, theme_name="Ocean"):
                         allow_custom_value=True,  # Allow users to input custom model names
                         info="Select a model from the dropdown or type a custom model name"
                     )
+                    llm_num_ctx = gr.Slider(
+                        minimum=2**8,
+                        maximum=2**16,
+                        value=config['llm_num_ctx'],
+                        step=1,
+                        label="Max Context Length",
+                        info="Controls max context length model needs to handle (less = faster)",
+                        visible=config['llm_provider'] == "ollama"
+                    )
                     llm_temperature = gr.Slider(
                         minimum=0.0,
                         maximum=2.0,
@@ -757,6 +772,17 @@ def create_ui(config, theme_name="Ocean"):
                             info="Your API key (leave blank to use .env)"
                         )
 
+            # Change event to update context length slider
+            def update_llm_num_ctx_visibility(llm_provider):
+                return gr.update(visible=llm_provider == "ollama")
+
+            # Bind the change event of llm_provider to update the visibility of context length slider
+            llm_provider.change(
+                fn=update_llm_num_ctx_visibility,
+                inputs=llm_provider,
+                outputs=llm_num_ctx
+            )
+
             with gr.TabItem("🌐 Browser Settings", id=3):
                 with gr.Group():
                     with gr.Row():
@@ -899,7 +925,7 @@ def create_ui(config, theme_name="Ocean"):
                 run_button.click(
                     fn=run_with_stream,
                         inputs=[
-                            agent_type, llm_provider, llm_model_name, llm_temperature, llm_base_url, llm_api_key,
+                            agent_type, llm_provider, llm_model_name, llm_num_ctx, llm_temperature, llm_base_url, llm_api_key,
                             use_own_browser, keep_browser_open, headless, disable_security, window_w, window_h,
                             save_recording_path, save_agent_history_path, save_trace_path,  # Include the new path
                             enable_recording, task, add_infos, max_steps, use_vision, max_actions_per_step, tool_calling_method
@@ -921,7 +947,7 @@ def create_ui(config, theme_name="Ocean"):
                 # Run Deep Research
                 research_button.click(
                         fn=run_deep_search,
-                        inputs=[research_task_input, max_search_iteration_input, max_query_per_iter_input, llm_provider, llm_model_name, llm_temperature, llm_base_url, llm_api_key, use_vision, use_own_browser, headless],
+                        inputs=[research_task_input, max_search_iteration_input, max_query_per_iter_input, llm_provider, llm_model_name, llm_num_ctx, llm_temperature, llm_base_url, llm_api_key, use_vision, use_own_browser, headless],
                         outputs=[markdown_output_display, markdown_download, stop_research_button, research_button]
                 )
                 # Bind the stop button click event after errors_output is defined
@@ -987,7 +1013,7 @@ def create_ui(config, theme_name="Ocean"):
                     inputs=[config_file_input],
                     outputs=[
                         agent_type, max_steps, max_actions_per_step, use_vision, tool_calling_method,
-                        llm_provider, llm_model_name, llm_temperature, llm_base_url, llm_api_key,
+                        llm_provider, llm_model_name, llm_num_ctx, llm_temperature, llm_base_url, llm_api_key,
                         use_own_browser, keep_browser_open, headless, disable_security, enable_recording,
                         window_w, window_h, save_recording_path, save_trace_path, save_agent_history_path,
                         task, config_status
@@ -998,7 +1024,7 @@ def create_ui(config, theme_name="Ocean"):
                     fn=save_current_config,
                     inputs=[
                         agent_type, max_steps, max_actions_per_step, use_vision, tool_calling_method,
-                        llm_provider, llm_model_name, llm_temperature, llm_base_url, llm_api_key,
+                        llm_provider, llm_model_name, llm_num_ctx, llm_temperature, llm_base_url, llm_api_key,
                         use_own_browser, keep_browser_open, headless, disable_security,
                         enable_recording, window_w, window_h, save_recording_path, save_trace_path,
                         save_agent_history_path, task,