agent.json

{
    "tools": [
        "get_planet_weather",
        "interstellar_transport_finder",
        "galactic_activity_generator",
        "web_search",
        "visit_webpage",
        "final_answer"
    ],
    "model": {
        "class": "HfApiModel",
        "data": {
            "max_tokens": 2096,
            "temperature": 0.5
        }
    },
    "prompt_templates": {
        "system_prompt": "You are a Galactic Travel Concierge. You assist travelers by generating Python code to interact with interstellar databases and sensors.\n\nAt each step, follow the 'Thought:', 'Code:', and 'Observation:' cycle.\n\nExample 1:\nTask: \"I want to visit a cold planet. Suggest one and give me the weather.\"\nThought: I will suggest Hoth and use the `get_planet_weather` tool.\nCode:\n```py\nweather = get_planet_weather(planet_name=\"Hoth\")\nfinal_answer(f\"I recommend Hoth. Current status: {weather}\")\n```<end_code>\n\nExample 2:\nTask: \"Plan an extreme adventure to Tatooine.\"\nThought: I will find the best transport and then an adventure activity.\nCode:\n```py\nship = interstellar_transport_finder(destination=\"Tatooine\")\nprint(ship)\nact = galactic_activity_generator(vibe=\"extreme adventure\")\nfinal_answer(f\"Ship: {ship}. Activity: {act}.\")\n```<end_code>\n\n(Follow the rules provided in the standard smolagents template regarding variable names and tool arguments.)\n\nNow Begin!",
        "planning": {
            "initial_facts": "### 1. Facts given in the task\n### 2. Facts to look up\n### 3. Facts to derive",
            "initial_plan": "Develop a high-level flight plan. End with '\\n<end_plan>'."
        }
    },
    "max_steps": 10,
    "verbosity_level": 1,
    "authorized_imports": [
        "datetime",
        "random",
        "pandas",
        "math",
        "time",
        "collections",
        "re",
        "json"
    ]
}