Skip to main content
Glama
run_data.py1.31 kB
from __future__ import annotations from collections.abc import Mapping from typing import Any, TypeVar from attrs import define as _attrs_define from attrs import field as _attrs_field T = TypeVar("T", bound="RunData") @_attrs_define class RunData: """Tool execution results (only present when status is success, maps to 'toolResult' in GraphQL)""" additional_properties: dict[str, Any] = _attrs_field(init=False, factory=dict) def to_dict(self) -> dict[str, Any]: field_dict: dict[str, Any] = {} field_dict.update(self.additional_properties) return field_dict @classmethod def from_dict(cls: type[T], src_dict: Mapping[str, Any]) -> T: d = dict(src_dict) run_data = cls() run_data.additional_properties = d return run_data @property def additional_keys(self) -> list[str]: return list(self.additional_properties.keys()) def __getitem__(self, key: str) -> Any: return self.additional_properties[key] def __setitem__(self, key: str, value: Any) -> None: self.additional_properties[key] = value def __delitem__(self, key: str) -> None: del self.additional_properties[key] def __contains__(self, key: str) -> bool: return key in self.additional_properties

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/superglue-ai/superglue'

If you have feedback or need assistance with the MCP directory API, please join our Discord server