This function will get called at every step of the agent's execution to form the agent's state. It will take as input the function result from the previous step.
(function_result: FunctionResult, current_state: dict)
| 38 | return new_state |
| 39 | |
| 40 | def get_agent_state_fn(function_result: FunctionResult, current_state: dict) -> dict: |
| 41 | """ |
| 42 | This function will get called at every step of the agent's execution to form the agent's state. |
| 43 | It will take as input the function result from the previous step. |
| 44 | """ |
| 45 | |
| 46 | # example of fixed state (function result info is not used to change state) - the first state placed here is the initial state |
| 47 | init_state = { |
| 48 | "objects": [ |
| 49 | {"name": "apple", "description": "A red apple", "type": ["item", "food"]}, |
| 50 | {"name": "banana", "description": "A yellow banana", "type": ["item", "food"]}, |
| 51 | {"name": "orange", "description": "A juicy orange", "type": ["item", "food"]}, |
| 52 | {"name": "chair", "description": "A chair", "type": ["sittable"]}, |
| 53 | {"name": "table", "description": "A table", "type": ["sittable"]}, |
| 54 | ] |
| 55 | } |
| 56 | |
| 57 | if current_state is None: |
| 58 | # at the first step, initialise the state with just the init state |
| 59 | new_state = init_state |
| 60 | else: |
| 61 | # do something wiht the current state input and the function result info |
| 62 | new_state = init_state # this is just an example where the state is static |
| 63 | |
| 64 | return new_state |
| 65 | |
| 66 | |
| 67 | def take_object(object: str, **kwargs) -> Tuple[FunctionResultStatus, str, dict]: |
nothing calls this directly
no outgoing calls
no test coverage detected