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docs: align docstrings with Google style (#5328)
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@ -19,28 +19,30 @@ class AppConfig:
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"""Configuration for the app.
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Attributes:
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llms: A dictionary of name -> LLM configuration. Default config is under 'llm' key.
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agents: A dictionary of name -> Agent configuration. Default config is under 'agent' key.
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default_agent: The name of the default agent to use.
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sandbox: The sandbox configuration.
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runtime: The runtime environment.
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file_store: The file store to use.
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file_store_path: The path to the file store.
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trajectories_path: The folder path to store trajectories.
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workspace_base: The base path for the workspace. Defaults to ./workspace as an absolute path.
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workspace_mount_path: The path to mount the workspace. This is set to the workspace base by default.
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workspace_mount_path_in_sandbox: The path to mount the workspace in the sandbox. Defaults to /workspace.
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workspace_mount_rewrite: The path to rewrite the workspace mount path to.
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cache_dir: The path to the cache directory. Defaults to /tmp/cache.
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llms: Dictionary mapping LLM names to their configurations.
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The default configuration is stored under the 'llm' key.
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agents: Dictionary mapping agent names to their configurations.
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The default configuration is stored under the 'agent' key.
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default_agent: Name of the default agent to use.
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sandbox: Sandbox configuration settings.
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runtime: Runtime environment identifier.
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file_store: Type of file store to use.
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file_store_path: Path to the file store.
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trajectories_path: Folder path to store trajectories.
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workspace_base: Base path for the workspace. Defaults to `./workspace` as absolute path.
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workspace_mount_path: Path to mount the workspace. Defaults to `workspace_base`.
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workspace_mount_path_in_sandbox: Path to mount the workspace in sandbox. Defaults to `/workspace`.
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workspace_mount_rewrite: Path to rewrite the workspace mount path.
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cache_dir: Path to cache directory. Defaults to `/tmp/cache`.
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run_as_openhands: Whether to run as openhands.
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max_iterations: The maximum number of iterations.
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max_budget_per_task: The maximum budget allowed per task, beyond which the agent will stop.
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e2b_api_key: The E2B API key.
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disable_color: Whether to disable color. For terminals that don't support color.
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debug: Whether to enable debugging.
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file_uploads_max_file_size_mb: Maximum file size for uploads in megabytes. 0 means no limit.
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file_uploads_restrict_file_types: Whether to restrict file types for file uploads. Defaults to False.
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file_uploads_allowed_extensions: List of allowed file extensions for uploads. ['.*'] means all extensions are allowed.
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max_iterations: Maximum number of iterations allowed.
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max_budget_per_task: Maximum budget per task, agent stops if exceeded.
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e2b_api_key: E2B API key.
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disable_color: Whether to disable terminal colors. For terminals that don't support color.
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debug: Whether to enable debugging mode.
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file_uploads_max_file_size_mb: Maximum file upload size in MB. `0` means unlimited.
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file_uploads_restrict_file_types: Whether to restrict upload file types.
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file_uploads_allowed_extensions: Allowed file extensions. `['.*']` allows all.
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"""
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llms: dict[str, LLMConfig] = field(default_factory=dict)
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@ -74,7 +76,7 @@ class AppConfig:
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defaults_dict: ClassVar[dict] = {}
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def get_llm_config(self, name='llm') -> LLMConfig:
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"""Llm is the name for default config (for backward compatibility prior to 0.8)"""
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"""'llm' is the name for default config (for backward compatibility prior to 0.8)."""
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if name in self.llms:
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return self.llms[name]
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if name is not None and name != 'llm':
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@ -85,18 +87,18 @@ class AppConfig:
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self.llms['llm'] = LLMConfig()
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return self.llms['llm']
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def set_llm_config(self, value: LLMConfig, name='llm'):
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def set_llm_config(self, value: LLMConfig, name='llm') -> None:
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self.llms[name] = value
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def get_agent_config(self, name='agent') -> AgentConfig:
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"""Agent is the name for default config (for backward compability prior to 0.8)"""
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"""'agent' is the name for default config (for backward compatibility prior to 0.8)."""
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if name in self.agents:
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return self.agents[name]
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if 'agent' not in self.agents:
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self.agents['agent'] = AgentConfig()
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return self.agents['agent']
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def set_agent_config(self, value: AgentConfig, name='agent'):
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def set_agent_config(self, value: AgentConfig, name='agent') -> None:
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self.agents[name] = value
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def get_agent_to_llm_config_map(self) -> dict[str, LLMConfig]:
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