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83 lines
3.0 KiB
Python
83 lines
3.0 KiB
Python
import argparse
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import os
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from logging import Logger
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from pathlib import Path
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from agno.agent.agent import Agent
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from agno.memory.agent import AgentMemory
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from agno.models.anthropic.claude import Claude
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from agno.models.google.gemini import Gemini
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from agno.playground.playground import Playground
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from agno.playground.serve import serve_playground_app
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from agno.storage.sqlite import SqliteStorage
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from dotenv import load_dotenv
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from sensai.util import logging
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from sensai.util.helper import mark_used
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from serena.agent import SerenaAgent
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from serena.agno import SerenaAgnoToolkit
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mark_used(Gemini, Claude)
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os.chdir(Path(__file__).parent)
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Logger.root.setLevel(logging.INFO)
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load_dotenv()
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parser = argparse.ArgumentParser(description="Serena coding assistant")
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parser.add_argument("--project-file", required=True, help="Path to the project file, either absolute or relative to the root directory")
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args = parser.parse_args()
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project_file = Path(args.project_file).resolve()
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# If project file path is relative, make it absolute by joining with project root
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if not project_file.is_absolute():
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# Get the project root directory (parent of scripts directory)
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project_root = Path(__file__).parent.parent
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project_file = project_root / args.project_file
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# Ensure the path is normalized and absolute
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project_file = project_file.resolve()
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serena_agent = SerenaAgent(str(project_file), start_language_server=True)
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# Even though we don't want to keep history between sessions,
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# for the agno ui to work as a conversation, we a persistent storage on disk
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# This storage should be deleted between sessions.
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# Note that this might collide with custom options for the agent, like adding vector-search based tools.
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# See here for an explanation: https://www.reddit.com/r/agno/comments/1jk6qea/regarding_the_built_in_memory/
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sql_db_path = Path("tmp") / "agent_storage.db"
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sql_db_path.parent.mkdir(exist_ok=True)
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# delete the db file if it exists
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if sql_db_path.exists():
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sql_db_path.unlink()
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# model = Claude(id="claude-3-7-sonnet-20250219")
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# Or use any other model supported by agno, e.g. the newest Gemini:
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model = Gemini(id="gemini-2.5-pro-exp-03-25")
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agno_agent = Agent(
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name="Serena",
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model=model,
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# See explanation above on why storage is needed
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storage=SqliteStorage(table_name="serena_agent_sessions", db_file=str(sql_db_path)),
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description="A fully-featured coding assistant",
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tools=[SerenaAgnoToolkit(serena_agent)], # type: ignore
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# The tool calls will be shown in the UI anyway since whether to show them is configurable per tool
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# To see detailed logs, you should use the serena logger (configure it in the project file path)
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show_tool_calls=False,
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markdown=True,
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system_message=serena_agent.prompt_factory.create_system_prompt(),
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telemetry=False,
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memory=AgentMemory(),
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add_history_to_messages=True,
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num_history_responses=100, # you might want to adjust this (expense vs. history awareness)
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)
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app = Playground(agents=[agno_agent]).get_app()
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if __name__ == "__main__":
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serve_playground_app("agno_agent:app", reload=False)
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