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<header>
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<h1 class="title">Module <code>connpy.cli.ai_handler</code></h1>
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</header>
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<section id="section-intro">
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</section>
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<section>
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</section>
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<section>
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</section>
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<section>
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</section>
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<section>
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<h2 class="section-title" id="header-classes">Classes</h2>
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<dl>
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<dt id="connpy.cli.ai_handler.AIHandler"><code class="flex name class">
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<span>class <span class="ident">AIHandler</span></span>
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<span>(</span><span>app)</span>
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</code></dt>
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<dd>
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<details class="source">
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<summary>
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<span>Expand source code</span>
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</summary>
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<pre><code class="python">class AIHandler:
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def __init__(self, app):
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self.app = app
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def dispatch(self, args):
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if args.list_sessions:
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sessions = self.app.services.ai.list_sessions()
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if not sessions:
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printer.info("No saved AI sessions found.")
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return
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columns = ["ID", "Title", "Created At", "Model"]
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rows = [[s["id"], s["title"], s["created_at"], s["model"]] for s in sessions]
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printer.table("AI Persisted Sessions", columns, rows)
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return
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if args.delete_session:
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try:
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self.app.services.ai.delete_session(args.delete_session[0])
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printer.success(f"Session {args.delete_session[0]} deleted.")
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except Exception as e:
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printer.error(str(e))
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return
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# Determinar session_id para retomar
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session_id = None
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if args.resume:
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sessions = self.app.services.ai.list_sessions()
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session_id = sessions[0]["id"] if sessions else None
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if not session_id:
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printer.warning("No previous session found to resume.")
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elif args.session:
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session_id = args.session[0]
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# Configurar argumentos adicionales para el servicio de AI
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# Prioridad: CLI Args > Configuración Local
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settings = self.app.services.config_svc.get_settings().get("ai", {})
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arguments = {}
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for key in ["engineer_model", "engineer_api_key", "architect_model", "architect_api_key"]:
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cli_val = getattr(args, key, None)
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if cli_val:
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arguments[key] = cli_val[0]
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elif settings.get(key):
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arguments[key] = settings.get(key)
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# Check keys only if running in local mode (not remote)
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if getattr(self.app.services, "mode", "local") == "local":
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if not arguments.get("engineer_api_key"):
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printer.error("Engineer API key not configured. The chat cannot start.")
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printer.info("Use 'connpy config --engineer-api-key <key>' to set it.")
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sys.exit(1)
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if not arguments.get("architect_api_key"):
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printer.warning("Architect API key not configured. Architect will be unavailable.")
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printer.info("Use 'connpy config --architect-api-key <key>' to enable it.")
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# El resto de la interacción el CLI la maneja con el agente subyacente
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self.app.myai = self.app.services.ai
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self.ai_overrides = arguments
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if args.ask:
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self.single_question(args, session_id)
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else:
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self.interactive_chat(args, session_id)
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def single_question(self, args, session_id):
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query = " ".join(args.ask)
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with console.status("[ai_status]Agent is thinking and analyzing...") as status:
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result = self.app.myai.ask(query, status=status, debug=args.debug, session_id=session_id, trust=args.trust, **self.ai_overrides)
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responder = result.get("responder", "engineer")
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border = "architect" if responder == "architect" else "engineer"
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title = "[architect][bold]Network Architect[/bold][/architect]" if responder == "architect" else "[engineer][bold]Network Engineer[/bold][/engineer]"
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if not result.get("streamed"):
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mdprint(Panel(Markdown(result["response"]), title=title, border_style=border, expand=False))
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if "usage" in result:
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u = result["usage"]
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console.print(f"[debug]Tokens: {u['total']} (Input: {u['input']}, Output: {u['output']})[/debug]")
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console.print()
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def interactive_chat(self, args, session_id):
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history = None
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if session_id:
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session_data = self.app.myai.load_session_data(session_id)
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if session_data:
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history = session_data.get("history", [])
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mdprint(Rule(title=f"[header] Resuming Session: {session_data.get('title')} [/header]", style="border"))
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if history:
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mdprint(f"[debug]Analyzing {len(history)} previous messages...[/debug]\n")
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else:
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printer.error(f"Could not load session {session_id}. Starting clean.")
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if not history:
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mdprint(Rule(style="engineer"))
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mdprint(Markdown("**Networking Expert Agent**: Hi! I'm your assistant. I can help you diagnose issues, run commands, and manage your nodes.\nType 'exit' to quit.\n"))
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mdprint(Rule(style="engineer"))
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while True:
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try:
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user_query = Prompt.ask("[user_prompt]User[/user_prompt]")
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if not user_query.strip(): continue
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if user_query.lower() in ['exit', 'quit', 'bye']: break
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with console.status("[ai_status]Agent is thinking...") as status:
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result = self.app.myai.ask(user_query, chat_history=history, status=status, debug=args.debug, trust=args.trust, **self.ai_overrides)
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new_history = result.get("chat_history")
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if new_history is not None:
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history = new_history
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responder = result.get("responder", "engineer")
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border = "architect" if responder == "architect" else "engineer"
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title = "[architect][bold]Network Architect[/bold][/architect]" if responder == "architect" else "[engineer][bold]Network Engineer[/bold][/engineer]"
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if not result.get("streamed"):
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response_text = result.get("response", "")
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if response_text:
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mdprint(Panel(Markdown(response_text), title=title, border_style=border, expand=False))
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if "usage" in result:
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u = result["usage"]
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console.print(f"[debug]Tokens: {u['total']} (Input: {u['input']}, Output: {u['output']})[/debug]")
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console.print()
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except KeyboardInterrupt:
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break</code></pre>
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</details>
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<div class="desc"></div>
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<h3>Methods</h3>
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<dl>
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<dt id="connpy.cli.ai_handler.AIHandler.dispatch"><code class="name flex">
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<span>def <span class="ident">dispatch</span></span>(<span>self, args)</span>
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</code></dt>
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<dd>
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<details class="source">
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<summary>
|
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<span>Expand source code</span>
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</summary>
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<pre><code class="python">def dispatch(self, args):
|
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if args.list_sessions:
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sessions = self.app.services.ai.list_sessions()
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if not sessions:
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printer.info("No saved AI sessions found.")
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return
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columns = ["ID", "Title", "Created At", "Model"]
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rows = [[s["id"], s["title"], s["created_at"], s["model"]] for s in sessions]
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printer.table("AI Persisted Sessions", columns, rows)
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return
|
|
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if args.delete_session:
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try:
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self.app.services.ai.delete_session(args.delete_session[0])
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printer.success(f"Session {args.delete_session[0]} deleted.")
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except Exception as e:
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printer.error(str(e))
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return
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# Determinar session_id para retomar
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session_id = None
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if args.resume:
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sessions = self.app.services.ai.list_sessions()
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session_id = sessions[0]["id"] if sessions else None
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if not session_id:
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printer.warning("No previous session found to resume.")
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elif args.session:
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session_id = args.session[0]
|
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|
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# Configurar argumentos adicionales para el servicio de AI
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# Prioridad: CLI Args > Configuración Local
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settings = self.app.services.config_svc.get_settings().get("ai", {})
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arguments = {}
|
|
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for key in ["engineer_model", "engineer_api_key", "architect_model", "architect_api_key"]:
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cli_val = getattr(args, key, None)
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|
if cli_val:
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arguments[key] = cli_val[0]
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elif settings.get(key):
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arguments[key] = settings.get(key)
|
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# Check keys only if running in local mode (not remote)
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if getattr(self.app.services, "mode", "local") == "local":
|
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if not arguments.get("engineer_api_key"):
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printer.error("Engineer API key not configured. The chat cannot start.")
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printer.info("Use 'connpy config --engineer-api-key <key>' to set it.")
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sys.exit(1)
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if not arguments.get("architect_api_key"):
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printer.warning("Architect API key not configured. Architect will be unavailable.")
|
|
printer.info("Use 'connpy config --architect-api-key <key>' to enable it.")
|
|
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# El resto de la interacción el CLI la maneja con el agente subyacente
|
|
self.app.myai = self.app.services.ai
|
|
self.ai_overrides = arguments
|
|
|
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if args.ask:
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self.single_question(args, session_id)
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|
else:
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self.interactive_chat(args, session_id)</code></pre>
|
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</details>
|
|
<div class="desc"></div>
|
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</dd>
|
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<dt id="connpy.cli.ai_handler.AIHandler.interactive_chat"><code class="name flex">
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|
<span>def <span class="ident">interactive_chat</span></span>(<span>self, args, session_id)</span>
|
|
</code></dt>
|
|
<dd>
|
|
<details class="source">
|
|
<summary>
|
|
<span>Expand source code</span>
|
|
</summary>
|
|
<pre><code class="python">def interactive_chat(self, args, session_id):
|
|
history = None
|
|
if session_id:
|
|
session_data = self.app.myai.load_session_data(session_id)
|
|
if session_data:
|
|
history = session_data.get("history", [])
|
|
mdprint(Rule(title=f"[header] Resuming Session: {session_data.get('title')} [/header]", style="border"))
|
|
if history:
|
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mdprint(f"[debug]Analyzing {len(history)} previous messages...[/debug]\n")
|
|
else:
|
|
printer.error(f"Could not load session {session_id}. Starting clean.")
|
|
|
|
if not history:
|
|
mdprint(Rule(style="engineer"))
|
|
mdprint(Markdown("**Networking Expert Agent**: Hi! I'm your assistant. I can help you diagnose issues, run commands, and manage your nodes.\nType 'exit' to quit.\n"))
|
|
mdprint(Rule(style="engineer"))
|
|
|
|
while True:
|
|
try:
|
|
user_query = Prompt.ask("[user_prompt]User[/user_prompt]")
|
|
if not user_query.strip(): continue
|
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if user_query.lower() in ['exit', 'quit', 'bye']: break
|
|
|
|
with console.status("[ai_status]Agent is thinking...") as status:
|
|
result = self.app.myai.ask(user_query, chat_history=history, status=status, debug=args.debug, trust=args.trust, **self.ai_overrides)
|
|
|
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new_history = result.get("chat_history")
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if new_history is not None:
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history = new_history
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responder = result.get("responder", "engineer")
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border = "architect" if responder == "architect" else "engineer"
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title = "[architect][bold]Network Architect[/bold][/architect]" if responder == "architect" else "[engineer][bold]Network Engineer[/bold][/engineer]"
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if not result.get("streamed"):
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response_text = result.get("response", "")
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if response_text:
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mdprint(Panel(Markdown(response_text), title=title, border_style=border, expand=False))
|
|
|
|
if "usage" in result:
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u = result["usage"]
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console.print(f"[debug]Tokens: {u['total']} (Input: {u['input']}, Output: {u['output']})[/debug]")
|
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console.print()
|
|
except KeyboardInterrupt:
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break</code></pre>
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</details>
|
|
<div class="desc"></div>
|
|
</dd>
|
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<dt id="connpy.cli.ai_handler.AIHandler.single_question"><code class="name flex">
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<span>def <span class="ident">single_question</span></span>(<span>self, args, session_id)</span>
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|
</code></dt>
|
|
<dd>
|
|
<details class="source">
|
|
<summary>
|
|
<span>Expand source code</span>
|
|
</summary>
|
|
<pre><code class="python">def single_question(self, args, session_id):
|
|
query = " ".join(args.ask)
|
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with console.status("[ai_status]Agent is thinking and analyzing...") as status:
|
|
result = self.app.myai.ask(query, status=status, debug=args.debug, session_id=session_id, trust=args.trust, **self.ai_overrides)
|
|
|
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responder = result.get("responder", "engineer")
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border = "architect" if responder == "architect" else "engineer"
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title = "[architect][bold]Network Architect[/bold][/architect]" if responder == "architect" else "[engineer][bold]Network Engineer[/bold][/engineer]"
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|
|
if not result.get("streamed"):
|
|
mdprint(Panel(Markdown(result["response"]), title=title, border_style=border, expand=False))
|
|
|
|
if "usage" in result:
|
|
u = result["usage"]
|
|
console.print(f"[debug]Tokens: {u['total']} (Input: {u['input']}, Output: {u['output']})[/debug]")
|
|
console.print()</code></pre>
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|
</details>
|
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<div class="desc"></div>
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</dd>
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</dl>
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</dd>
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</dl>
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</section>
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<ul id="index">
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<li><h3>Super-module</h3>
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<ul>
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<li><code><a title="connpy.cli" href="index.html">connpy.cli</a></code></li>
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</ul>
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</li>
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<li><h3><a href="#header-classes">Classes</a></h3>
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<ul>
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<li>
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<h4><code><a title="connpy.cli.ai_handler.AIHandler" href="#connpy.cli.ai_handler.AIHandler">AIHandler</a></code></h4>
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<ul class="">
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<li><code><a title="connpy.cli.ai_handler.AIHandler.dispatch" href="#connpy.cli.ai_handler.AIHandler.dispatch">dispatch</a></code></li>
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<li><code><a title="connpy.cli.ai_handler.AIHandler.interactive_chat" href="#connpy.cli.ai_handler.AIHandler.interactive_chat">interactive_chat</a></code></li>
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<li><code><a title="connpy.cli.ai_handler.AIHandler.single_question" href="#connpy.cli.ai_handler.AIHandler.single_question">single_question</a></code></li>
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