feat : self run script

self_run.py

@@ -0,0 +1,108 @@
+
+#!/usr/bin python3
+
+"""
+self_run.py is a script for automatically creating prompts, and saving history as training data.
+"""
+
+import sys
+import argparse
+import configparser
+import asyncio
+
+from sources.llm_provider import Provider
+from sources.interaction import Interaction
+from sources.agents import Agent, CoderAgent, CasualAgent, FileAgent, PlannerAgent, BrowserAgent, McpAgent
+from sources.browser import Browser, create_driver
+
+import warnings
+warnings.filterwarnings("ignore")
+
+config = configparser.ConfigParser()
+config.read('config.ini')
+
+def copy_conversations_folder():
+    source_path = "conversations/"
+    destination_path = "training_data/"
+    if not os.path.exists(destination_path):
+        os.makedirs(destination_path)
+    for filename in os.listdir(source_path):
+        source_file = os.path.join(source_path, filename)
+        destination_file = os.path.join(destination_path, filename)
+        shutil.copy2(source_file, destination_file)
+        print(f"Copied {source_file} to {destination_file}")
+
+def get_random_query(provider):
+    prompt = """
+You are an expert in crafting queries for AgenticSeek, a AI assistant that autonomously browses the web, writes code, plans tasks, and manages files. It supports tasks like web searches, coding in Python/C/Go/Java, file operations, task planning.
+Queries must be explicit, specifying actions like "search the web," "write code," or "save to a file," as AgenticSeek's agent routing may not infer vague intents.
+
+Generate a single realistic user query for AgenticSeek. The query should:
+
+Be concise and explicit about the desired action (e.g., web search, coding, file management).
+Align with AgenticSeek’s capabilities (web browsing, coding, task planning, file operations).
+Include a specific output where relevant (e.g., save to a file with a clear name and path).
+Reflect a practical use case (e.g., research, programming, personal tasks).
+Be formatted as a single sentence.
+Example Query:
+Search the web for the best hiking trails in Colorado and save a list of three trails with their locations in hiking_trails.txt in /home/project
+    """
+    history = [{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": prompt}]
+    thought = provider.respond(history)
+    return thought
+
+async def self_runner():
+    provider = Provider(provider_name=config["MAIN"]["provider_name"],
+                        model=config["MAIN"]["provider_model"],
+                        server_address=config["MAIN"]["provider_server_address"],
+                        is_local=config.getboolean('MAIN', 'is_local'))
+
+    browser = Browser(
+        create_driver(headless=True, stealth_mode=False),
+        anticaptcha_manual_install=False
+    )
+
+    agents = [
+        CasualAgent(name=config["MAIN"]["agent_name"],
+                    prompt_path=f"prompts/base/casual_agent.txt",
+                    provider=provider, verbose=False),
+        CoderAgent(name="coder",
+                   prompt_path=f"prompts/base/coder_agent.txt",
+                   provider=provider, verbose=False),
+        FileAgent(name="File Agent",
+                  prompt_path=f"prompts/base/file_agent.txt",
+                  provider=provider, verbose=False),
+        BrowserAgent(name="Browser",
+                     prompt_path=f"prompts/base/browser_agent.txt",
+                     provider=provider, verbose=False, browser=browser),
+        PlannerAgent(name="Planner",
+                     prompt_path=f"prompts/base/planner_agent.txt",
+                     provider=provider, verbose=False, browser=browser)
+    ]
+
+    interaction = Interaction(agents,
+                              tts_enabled=False,
+                              stt_enabled=False,
+                              recover_last_session=False,
+                              langs=['en']
+                            )
+    print("Start self-running for training data generation...")
+    try:
+        while interaction.is_active:
+            query = get_random_query(provider)
+            print(f"Generated query: {query}")
+            interaction.set_query(query)
+            if await interaction.think():
+                interaction.show_answer()
+    except Exception as e:
+        if config.getboolean('MAIN', 'save_session'):
+            interaction.save_session()
+            copy_conversations_folder()
+        raise e
+    finally:
+        if config.getboolean('MAIN', 'save_session'):
+            interaction.save_session()
+            copy_conversations_folder()
+
+if __name__ == "__main__":
+    asyncio.run(self_runner())