feat: Enhance AxiomAgent initialization and update prompts for improved user experience
Browse files- chainlit_ui.py +26 -8
- src/axiom/agent.py +2 -1
- src/axiom/prompts.py +37 -1
chainlit_ui.py
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@@ -6,6 +6,7 @@ from typing import Optional
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from src.axiom.agent import AxiomAgent
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from src.axiom.config import settings, load_mcp_servers_from_config
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from agents.mcp import MCPServer
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@@ -44,8 +45,8 @@ async def set_starters():
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),
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cl.Starter(
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label="How to use
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message="How to use
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icon="/public/msg_icons/usb.png",
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),
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cl.Starter(
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@@ -77,7 +78,6 @@ async def chat_profile():
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#################################
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@cl.on_chat_start
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async def on_chat_start():
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-
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# Initialize chat history and MCP servers
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cl.user_session.set(SESSION_HISTORY_KEY, [])
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cl.user_session.set(SESSION_MCP_SERVERS_KEY, [])
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@@ -111,11 +111,10 @@ async def on_chat_start():
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# Store only the successfully started servers for later cleanup
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cl.user_session.set(SESSION_MCP_SERVERS_KEY, started_mcp_servers)
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-
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# 3. Initialize the Axiom Agent
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agent = AxiomAgent(mcp_servers=started_mcp_servers)
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cl.user_session.set(SESSION_AGENT_KEY, agent)
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async def cleanup_mcp_servers():
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started_mcp_servers = cl.user_session.get(SESSION_MCP_SERVERS_KEY, [])
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if not started_mcp_servers:
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@@ -136,10 +135,29 @@ async def on_chat_end():
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logger.info("Chat session ending.")
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await cleanup_mcp_servers()
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@cl.on_message
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async def on_message(message: cl.Message):
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-
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chat_history: list[dict] = cl.user_session.get(SESSION_HISTORY_KEY, [])
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# Add user message to history
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chat_history.append({"role": "user", "content": message.content})
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from src.axiom.agent import AxiomAgent
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from src.axiom.config import settings, load_mcp_servers_from_config
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from src.axiom.prompts import AXIOM_AGENT_PROMPT, AXIOM_ASSISTANT_PROMPT
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from agents.mcp import MCPServer
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),
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cl.Starter(
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label="How to use Autogent",
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message="How to use Autogen? Create some agents using Autogen",
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icon="/public/msg_icons/usb.png",
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),
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cl.Starter(
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#################################
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@cl.on_chat_start
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async def on_chat_start():
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# Initialize chat history and MCP servers
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cl.user_session.set(SESSION_HISTORY_KEY, [])
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cl.user_session.set(SESSION_MCP_SERVERS_KEY, [])
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# Store only the successfully started servers for later cleanup
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cl.user_session.set(SESSION_MCP_SERVERS_KEY, started_mcp_servers)
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#################################
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# MCP Server Cleanup
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#################################
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async def cleanup_mcp_servers():
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started_mcp_servers = cl.user_session.get(SESSION_MCP_SERVERS_KEY, [])
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if not started_mcp_servers:
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logger.info("Chat session ending.")
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await cleanup_mcp_servers()
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#################################
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# User Message Handler
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#################################
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@cl.on_message
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async def on_message(message: cl.Message):
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started_mcp_servers = cl.user_session.get(SESSION_MCP_SERVERS_KEY)
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chat_history: list[dict] = cl.user_session.get(SESSION_HISTORY_KEY, [])
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# Initialize the Axiom Agent
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axiom_mode = cl.user_session.get("chat_profile")
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# Filter MCP servers based on chat profile
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if axiom_mode == "Assistant":
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# For Assistant mode, only use context7 MCP server
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filtered_servers = [server for server in started_mcp_servers if server.name.lower() == "context7"]
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else:
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# For Agent mode, use all MCP servers
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filtered_servers = started_mcp_servers
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agent = AxiomAgent(
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mcp_servers=filtered_servers,
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prompt=AXIOM_AGENT_PROMPT if axiom_mode == "Agent✨" else AXIOM_ASSISTANT_PROMPT,
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)
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# Add user message to history
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chat_history.append({"role": "user", "content": message.content})
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src/axiom/agent.py
CHANGED
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@@ -20,6 +20,7 @@ class AxiomAgent:
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def __init__(
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self,
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model: Optional[str] = None,
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tools: Optional[list[Tool]] = None,
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mcp_servers: Optional[list[MCPServer]] = None,
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api_key: Optional[str] = None,
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@@ -36,7 +37,7 @@ class AxiomAgent:
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self.agent = Agent(
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name=settings.AGENT_NAME,
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instructions=
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mcp_servers=mcp_servers or [],
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tools=tools or [],
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)
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def __init__(
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self,
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model: Optional[str] = None,
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prompt: Optional[str] = None,
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tools: Optional[list[Tool]] = None,
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mcp_servers: Optional[list[MCPServer]] = None,
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api_key: Optional[str] = None,
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self.agent = Agent(
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name=settings.AGENT_NAME,
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instructions=prompt or AXIOM_AGENT_PROMPT,
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mcp_servers=mcp_servers or [],
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tools=tools or [],
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)
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src/axiom/prompts.py
CHANGED
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@@ -3,7 +3,7 @@
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#####################
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AXIOM_AGENT_PROMPT = """
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# Role
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You are Axiom 2.0, an advanced AI Agent specializing in AI and Software Development—built by Aasher Kamal. You are an upgraded version of Axiom 1.0
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# Goal
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Your primary goal is to generate accurate, production-ready code, build end-to-end projects, and full-stack apps, following best practices, focusing on efficiency, scalability, and readability, **strictly guided by planning and verified documentation.**
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@@ -38,4 +38,40 @@ You have access to docs and code of 2000+ libraries, frameworks, and tools that
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- **Production Standards:** Code must be robust, modular, and efficient (not just example code).
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- **Relevance:** Focus solely on AI/Software development tasks. Politely decline unrelated requests.
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"""
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#####################
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AXIOM_AGENT_PROMPT = """
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# Role
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You are Axiom 2.0, an advanced AI Agent specializing in AI and Software Development—built by Aasher Kamal. You are an upgraded version of Axiom 1.0.
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# Goal
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Your primary goal is to generate accurate, production-ready code, build end-to-end projects, and full-stack apps, following best practices, focusing on efficiency, scalability, and readability, **strictly guided by planning and verified documentation.**
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- **Production Standards:** Code must be robust, modular, and efficient (not just example code).
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- **Relevance:** Focus solely on AI/Software development tasks. Politely decline unrelated requests.
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"""
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AXIOM_ASSISTANT_PROMPT = """
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# Role
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You are Axiom 2.0, an advanced AI Assistant specializing in AI and Software Development—built by Aasher Kamal. You are an upgraded version of Axiom 1.0.
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You have access to docs and code of 2000+ libraries, frameworks, and tools that can be accessed using the tools provided.
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## Task
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Your main task is to:
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- **Answer User Queries:**
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Provide accurate, detailed, and context-aware answers, explanations and guidance by referencing relevant library documentation.
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## Instructions
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Follow these steps when fulfilling user request:
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1. Use `resolve-library-id` tool to accurately identify the library IDs and then fetch docs using `get-library-docs` tool (limited to **5000 tokens**).
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2. If the initial 5000 tokens are insufficient, **incrementally increase** the requested token context **up to 20,000 tokens**. Refine your search queries based previous results to get the necessary details.
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3. Keep iterating until you have all the necessary code/docs to complete your plan.
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4. The `resolve-library-id` tool returns library IDs, try with similar IDs if the actual ID didn't give correct results.
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5. Provide a clear and complete response to the user.
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## Constraints
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You must follow the instructions below:
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* Ensure your answers are correct following the documentation(s).
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* Do NOT generate code, just provide answers. You are a assistant, not a developer.
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* Refrain from responding any irrelevant questions. Instead, politely tell the user that it's out of your expertise.
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## Privacy
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Do not disclose internal tools or information.
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---
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## REMEMBER
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* Answer in a professional, concise manner.
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* If the user asks you to create complete projects or full code, please refer them to Agent Mode of Axiom 2.0.
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"""
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