mirror of
https://github.com/block/goose.git
synced 2026-07-17 12:56:20 +02:00
Douwe Osinga
120 lines
4.5 KiB
Python
120 lines
4.5 KiB
Python
# coding: utf-8
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"""
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goose-server
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An AI agent
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The version of the OpenAPI document: 1.9.0
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Contact: ai-oss-tools@block.xyz
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Generated by OpenAPI Generator (https://openapi-generator.tech)
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Do not edit the class manually.
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""" # noqa: E501
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from __future__ import annotations
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import pprint
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import re # noqa: F401
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import json
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from pydantic import BaseModel, ConfigDict, Field, StrictBool, StrictFloat, StrictInt, StrictStr
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from typing import Any, ClassVar, Dict, List, Optional, Union
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from typing_extensions import Annotated
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from typing import Optional, Set
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from typing_extensions import Self
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class ModelInfo(BaseModel):
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"""
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Information about a model's capabilities
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""" # noqa: E501
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context_limit: Annotated[int, Field(strict=True, ge=0)] = Field(description="The maximum context length this model supports")
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currency: Optional[StrictStr] = Field(default=None, description="Currency for the costs (default: \"$\")")
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input_token_cost: Optional[Union[StrictFloat, StrictInt]] = Field(default=None, description="Cost per token for input (optional)")
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name: StrictStr = Field(description="The name of the model")
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output_token_cost: Optional[Union[StrictFloat, StrictInt]] = Field(default=None, description="Cost per token for output (optional)")
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supports_cache_control: Optional[StrictBool] = Field(default=None, description="Whether this model supports cache control")
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__properties: ClassVar[List[str]] = ["context_limit", "currency", "input_token_cost", "name", "output_token_cost", "supports_cache_control"]
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model_config = ConfigDict(
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populate_by_name=True,
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validate_assignment=True,
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protected_namespaces=(),
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)
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def to_str(self) -> str:
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"""Returns the string representation of the model using alias"""
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return pprint.pformat(self.model_dump(by_alias=True))
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def to_json(self) -> str:
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"""Returns the JSON representation of the model using alias"""
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# TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead
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return json.dumps(self.to_dict())
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@classmethod
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def from_json(cls, json_str: str) -> Optional[Self]:
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"""Create an instance of ModelInfo from a JSON string"""
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return cls.from_dict(json.loads(json_str))
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def to_dict(self) -> Dict[str, Any]:
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"""Return the dictionary representation of the model using alias.
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This has the following differences from calling pydantic's
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`self.model_dump(by_alias=True)`:
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* `None` is only added to the output dict for nullable fields that
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were set at model initialization. Other fields with value `None`
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are ignored.
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"""
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excluded_fields: Set[str] = set([
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])
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_dict = self.model_dump(
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by_alias=True,
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exclude=excluded_fields,
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exclude_none=True,
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)
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# set to None if currency (nullable) is None
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# and model_fields_set contains the field
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if self.currency is None and "currency" in self.model_fields_set:
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_dict['currency'] = None
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# set to None if input_token_cost (nullable) is None
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# and model_fields_set contains the field
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if self.input_token_cost is None and "input_token_cost" in self.model_fields_set:
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_dict['input_token_cost'] = None
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# set to None if output_token_cost (nullable) is None
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# and model_fields_set contains the field
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if self.output_token_cost is None and "output_token_cost" in self.model_fields_set:
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_dict['output_token_cost'] = None
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# set to None if supports_cache_control (nullable) is None
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# and model_fields_set contains the field
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if self.supports_cache_control is None and "supports_cache_control" in self.model_fields_set:
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_dict['supports_cache_control'] = None
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return _dict
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@classmethod
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def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
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"""Create an instance of ModelInfo from a dict"""
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if obj is None:
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return None
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if not isinstance(obj, dict):
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return cls.model_validate(obj)
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_obj = cls.model_validate({
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"context_limit": obj.get("context_limit"),
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"currency": obj.get("currency"),
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"input_token_cost": obj.get("input_token_cost"),
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"name": obj.get("name"),
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"output_token_cost": obj.get("output_token_cost"),
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"supports_cache_control": obj.get("supports_cache_control")
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})
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return _obj
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