Source code for agntcy_acp.acp_v0.models.agent_capabilities

# Copyright AGNTCY Contributors (https://github.com/agntcy)
# SPDX-License-Identifier: Apache-2.0
# coding: utf-8

"""
Agent Connect Protocol

No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator)

The version of the OpenAPI document: 0.2.2
Generated by OpenAPI Generator (https://openapi-generator.tech)

Do not edit the class manually.
"""  # noqa: E501

from __future__ import annotations

import json
import pprint
import re  # noqa: F401
from typing import Any, ClassVar, Dict, List, Optional, Set

from pydantic import BaseModel, ConfigDict, Field, StrictBool
from typing_extensions import Self

from agntcy_acp.acp_v0.models.streaming_modes import StreamingModes


[docs] class AgentCapabilities(BaseModel): """ Declares what invocation features this agent is capable of. """ # noqa: E501 threads: Optional[StrictBool] = Field( default=False, description="This is `true` if the agent supports run threads. If this is `false`, then the threads tagged with `Threads` are not available. If missing, it means `false`", ) interrupts: Optional[StrictBool] = Field( default=False, description="This is `true` if the agent runs can interrupt to request additional input and can be subsequently resumed. If missing, it means `false`", ) callbacks: Optional[StrictBool] = Field( default=False, description="This is `true` if the agent supports a webhook to report run results. If this is `false`, providing a `webhook` at run creation has no effect. If missing, it means `false`", ) streaming: Optional[StreamingModes] = None __properties: ClassVar[List[str]] = [ "threads", "interrupts", "callbacks", "streaming", ] model_config = ConfigDict( populate_by_name=True, validate_assignment=True, protected_namespaces=(), )
[docs] def to_str(self) -> str: """Returns the string representation of the model using alias""" return pprint.pformat(self.model_dump(by_alias=True))
[docs] def to_json(self) -> str: """Returns the JSON representation of the model using alias""" # TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead return self.model_dump_json(by_alias=True, exclude_unset=True)
[docs] @classmethod def from_json(cls, json_str: str) -> Optional[Self]: """Create an instance of AgentCapabilities from a JSON string""" return cls.from_dict(json.loads(json_str))
[docs] def to_dict(self) -> Dict[str, Any]: """Return the dictionary representation of the model using alias. This has the following differences from calling pydantic's `self.model_dump(by_alias=True)`: * `None` is only added to the output dict for nullable fields that were set at model initialization. Other fields with value `None` are ignored. """ excluded_fields: Set[str] = set([]) _dict = self.model_dump( by_alias=True, exclude=excluded_fields, exclude_none=True, ) # override the default output from pydantic by calling `to_dict()` of streaming if self.streaming: _dict["streaming"] = self.streaming.to_dict() return _dict
[docs] @classmethod def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]: """Create an instance of AgentCapabilities from a dict""" if obj is None: return None if not isinstance(obj, dict): return cls.model_validate(obj) _obj = cls.model_validate( { "threads": obj.get("threads") if obj.get("threads") is not None else False, "interrupts": obj.get("interrupts") if obj.get("interrupts") is not None else False, "callbacks": obj.get("callbacks") if obj.get("callbacks") is not None else False, "streaming": StreamingModes.from_dict(obj["streaming"]) if obj.get("streaming") is not None else None, } ) return _obj