Methods

Every EdisonClient method, grouped by area. Each group lists the synchronous methods and their a-prefixed asynchronous twins. Async twins take the same arguments and return the same types — just await them.

Anywhere a model such as TaskRequest is accepted, you can also pass a plain dict with the same fields — it's validated into the model for you. Both argument payloads and return values are shown below as example JSON; sample values are placeholders.

Tasks

Sync

run_tasks_until_done()

Run multiple tasks and wait for them to complete.

run_tasks_until_done(
    task_data: TaskRequest | Collection[TaskRequest],
    verbose: bool = False,
    progress_bar: bool = False,
    timeout: float | None = 2400,
    files: list[str] | None = None,
) -> list[LiteTaskResponse | TaskResponse | TaskResponseVerbose]

Arguments

{
  "task_data": {
    "task_id": "019cd179-8d61-7f65-a79c-b965dda9eac3",
    "project_id": "019cd179-8d61-7f65-a79c-b965dda9eac3",
    "persona_id": "019cd179-8d61-7f65-a79c-b965dda9eac3",
    "name": "string",
    "query": "string",
    "runtime_config": {
      "timeout": 0,
      "max_steps": 0,
      "agent": null,
      "environment_config": {},
      "continued_job_id": "019cd179-8d61-7f65-a79c-b965dda9eac3",
      "world_model_id": "019cd179-8d61-7f65-a79c-b965dda9eac3"
    },
    "caller_target_id": "019cd179-8d61-7f65-a79c-b965dda9eac3",
    "caller_project_id": "019cd179-8d61-7f65-a79c-b965dda9eac3",
    "tags": [
      "string"
    ],
    "workspace_id": "string"
  },
  "verbose": false,
  "progress_bar": false,
  "timeout": 2400,
  "files": null
}

Returns list[LiteTaskResponse | TaskResponse | TaskResponseVerbose] — each element is one of:

LiteTaskResponse

{
  "task_id": "019cd179-8d61-7f65-a79c-b965dda9eac3",
  "query": "string",
  "status": "string"
}

TaskResponse

{
  "status": "string",
  "query": "string",
  "user": "string",
  "created_at": "2026-06-03T08:00:00Z",
  "job_name": "string",
  "share_status": "string",
  "permitted_accessors": {},
  "build_owner": "string",
  "environment_name": "string",
  "agent_name": "string",
  "task_id": "019cd179-8d61-7f65-a79c-b965dda9eac3",
  "project_id": "019cd179-8d61-7f65-a79c-b965dda9eac3"
}

TaskResponseVerbose

{
  "status": "string",
  "query": "string",
  "user": "string",
  "created_at": "2026-06-03T08:00:00Z",
  "job_name": "string",
  "share_status": "string",
  "permitted_accessors": {},
  "build_owner": "string",
  "environment_name": "string",
  "agent_name": "string",
  "task_id": "019cd179-8d61-7f65-a79c-b965dda9eac3",
  "project_id": "019cd179-8d61-7f65-a79c-b965dda9eac3",
  "agent_state": [
    {}
  ],
  "environment_frame": {},
  "metadata": {},
  "deployment_config": {
    "commit_hash": "string",
    "git_patch": "string",
    "branch_name": "string",
    "git_status": "string"
  }
}

create_task()

Create a new futurehouse task.

create_task(
    task_data: TaskRequest,
    files: list[str] | None = None,
)

Arguments

{
  "task_data": {
    "task_id": "019cd179-8d61-7f65-a79c-b965dda9eac3",
    "project_id": "019cd179-8d61-7f65-a79c-b965dda9eac3",
    "persona_id": "019cd179-8d61-7f65-a79c-b965dda9eac3",
    "name": "string",
    "query": "string",
    "runtime_config": {
      "timeout": 0,
      "max_steps": 0,
      "agent": null,
      "environment_config": {},
      "continued_job_id": "019cd179-8d61-7f65-a79c-b965dda9eac3",
      "world_model_id": "019cd179-8d61-7f65-a79c-b965dda9eac3"
    },
    "caller_target_id": "019cd179-8d61-7f65-a79c-b965dda9eac3",
    "caller_project_id": "019cd179-8d61-7f65-a79c-b965dda9eac3",
    "tags": [
      "string"
    ],
    "workspace_id": "string"
  },
  "files": null
}

Returns str — The new task's trajectory_id.

"019cd179-8d61-7f65-a79c-b965dda9eac3"

get_task()

Get details for a specific task.

get_task(
    task_id: str | None = None,
    history: bool = False,
    verbose: bool = False,
    lite: bool = False,
) -> TaskResponse | TaskResponseVerbose | LiteTaskResponse

Returns TaskResponse | TaskResponseVerbose | LiteTaskResponse — one of:

TaskResponse

{
  "status": "string",
  "query": "string",
  "user": "string",
  "created_at": "2026-06-03T08:00:00Z",
  "job_name": "string",
  "share_status": "string",
  "permitted_accessors": {},
  "build_owner": "string",
  "environment_name": "string",
  "agent_name": "string",
  "task_id": "019cd179-8d61-7f65-a79c-b965dda9eac3",
  "project_id": "019cd179-8d61-7f65-a79c-b965dda9eac3"
}

TaskResponseVerbose

{
  "status": "string",
  "query": "string",
  "user": "string",
  "created_at": "2026-06-03T08:00:00Z",
  "job_name": "string",
  "share_status": "string",
  "permitted_accessors": {},
  "build_owner": "string",
  "environment_name": "string",
  "agent_name": "string",
  "task_id": "019cd179-8d61-7f65-a79c-b965dda9eac3",
  "project_id": "019cd179-8d61-7f65-a79c-b965dda9eac3",
  "agent_state": [
    {}
  ],
  "environment_frame": {},
  "metadata": {},
  "deployment_config": {
    "commit_hash": "string",
    "git_patch": "string",
    "branch_name": "string",
    "git_status": "string"
  }
}

LiteTaskResponse

{
  "task_id": "019cd179-8d61-7f65-a79c-b965dda9eac3",
  "query": "string",
  "status": "string"
}

get_tasks()

Fetches trajectories with applied filtering.

get_tasks(
    query_params: TrajectoryQueryParams | None = None,
    project_id: UUID | None = None,
    name: str | None = None,
    user: str | None = None,
    limit: int = 50,
    offset: int = 0,
    sort_by: str = 'created_at',
    sort_order: str = 'desc',
) -> list[dict[str, Any]]

Arguments

{
  "query_params": null,
  "project_id": null,
  "name": null,
  "user": null,
  "limit": 50,
  "offset": 0,
  "sort_by": "created_at",
  "sort_order": "desc"
}

Returns list[dict[str, Any]]

Raw, unvalidated dicts (no Pydantic model).

cancel_task()

Cancel a specific task/trajectory.

cancel_task(
    task_id: str | None = None,
) -> bool

Returns bool

delete_trajectory()

Delete a trajectory (soft delete - marks as hidden).

delete_trajectory(
    trajectory_id: UUID,
) -> None

Returns nothing (None).

Async

arun_tasks_until_done()

Awaitable twin of run_tasks_until_done() — identical arguments and return type.

arun_tasks_until_done(
    task_data: TaskRequest | Collection[TaskRequest],
    verbose: bool = False,
    progress_bar: bool = False,
    concurrency: int = 10,
    timeout: float | None = 2400,
    files: list[str] | None = None,
) -> list[LiteTaskResponse | TaskResponse | TaskResponseVerbose]

acreate_task()

Awaitable twin of create_task() — identical arguments and return type.

acreate_task(
    task_data: TaskRequest,
    files: list[str] | None = None,
)

aget_task()

Awaitable twin of get_task() — identical arguments and return type.

aget_task(
    task_id: str | None = None,
    history: bool = False,
    verbose: bool = False,
    lite: bool = False,
) -> TaskResponse | TaskResponseVerbose | LiteTaskResponse

aget_tasks()

Awaitable twin of get_tasks() — identical arguments and return type.

aget_tasks(
    query_params: TrajectoryQueryParams | None = None,
    project_id: UUID | None = None,
    name: str | None = None,
    user: str | None = None,
    limit: int = 50,
    offset: int = 0,
    sort_by: str = 'created_at',
    sort_order: str = 'desc',
) -> list[dict[str, Any]]

adelete_trajectory()

Awaitable twin of delete_trajectory() — identical arguments and return type.

adelete_trajectory(
    trajectory_id: UUID,
) -> None

Data Storage

Sync

store_file_content()

Store file or directory content in the data storage system.

store_file_content(
    name: str,
    file_path: str | Path,
    description: str | None = None,
    file_path_override: str | Path | None = None,
    as_collection: bool = False,
    manifest_filename: str | None = None,
    ignore_patterns: list[str] | None = None,
    ignore_filename: str = '.gitignore',
    project_id: UUID | None = None,
    dataset_id: UUID | None = None,
    metadata: dict[str, Any] | None = None,
    tags: list[str] | None = None,
    parent_id: UUID | None = None,
    embedding: list[float] | None = None,
) -> DataStorageResponse

Returns DataStorageResponse

{
  "data_storage": {
    "id": "019cd179-8d61-7f65-a79c-b965dda9eac3",
    "name": "string",
    "description": "string",
    "content": "string",
    "status": "pending",
    "embedding": [
      0.0
    ],
    "is_collection": false,
    "tags": [
      "string"
    ],
    "parent_id": "019cd179-8d61-7f65-a79c-b965dda9eac3",
    "project_id": "019cd179-8d61-7f65-a79c-b965dda9eac3",
    "dataset_id": "019cd179-8d61-7f65-a79c-b965dda9eac3",
    "file_path": "string",
    "bigquery_schema": null,
    "user_id": "string",
    "created_at": "2026-06-03T08:00:00Z",
    "modified_at": "2026-06-03T08:00:00Z",
    "share_status": "private",
    "short_alias": "string"
  },
  "storage_locations": [
    {
      "id": "019cd179-8d61-7f65-a79c-b965dda9eac3",
      "data_storage_id": "019cd179-8d61-7f65-a79c-b965dda9eac3",
      "storage_config": {
        "storage_type": "string",
        "content_type": "string",
        "content_schema": null,
        "metadata": null,
        "location": "string",
        "signed_url": "string"
      },
      "created_at": "2026-06-03T08:00:00Z"
    }
  ]
}

store_text_content()

Store content as a string in the data storage system.

store_text_content(
    name: str,
    content: str,
    description: str | None = None,
    file_path: str | None = None,
    project_id: UUID | None = None,
    metadata: dict[str, Any] | None = None,
    tags: list[str] | None = None,
    dataset_id: UUID | None = None,
    parent_id: UUID | None = None,
    embedding: list[float] | None = None,
) -> DataStorageResponse

Returns DataStorageResponse

{
  "data_storage": {
    "id": "019cd179-8d61-7f65-a79c-b965dda9eac3",
    "name": "string",
    "description": "string",
    "content": "string",
    "status": "pending",
    "embedding": [
      0.0
    ],
    "is_collection": false,
    "tags": [
      "string"
    ],
    "parent_id": "019cd179-8d61-7f65-a79c-b965dda9eac3",
    "project_id": "019cd179-8d61-7f65-a79c-b965dda9eac3",
    "dataset_id": "019cd179-8d61-7f65-a79c-b965dda9eac3",
    "file_path": "string",
    "bigquery_schema": null,
    "user_id": "string",
    "created_at": "2026-06-03T08:00:00Z",
    "modified_at": "2026-06-03T08:00:00Z",
    "share_status": "private",
    "short_alias": "string"
  },
  "storage_locations": [
    {
      "id": "019cd179-8d61-7f65-a79c-b965dda9eac3",
      "data_storage_id": "019cd179-8d61-7f65-a79c-b965dda9eac3",
      "storage_config": {
        "storage_type": "string",
        "content_type": "string",
        "content_schema": null,
        "metadata": null,
        "location": "string",
        "signed_url": "string"
      },
      "created_at": "2026-06-03T08:00:00Z"
    }
  ]
}

store_link()

Store a link/URL in the data storage system.

store_link(
    name: str,
    url: HttpUrl,
    description: str,
    instructions: str,
    api_key: str | None = None,
    metadata: dict[str, Any] | None = None,
    dataset_id: UUID | None = None,
    project_id: UUID | None = None,
    tags: list[str] | None = None,
    parent_id: UUID | None = None,
) -> DataStorageResponse

Returns DataStorageResponse

{
  "data_storage": {
    "id": "019cd179-8d61-7f65-a79c-b965dda9eac3",
    "name": "string",
    "description": "string",
    "content": "string",
    "status": "pending",
    "embedding": [
      0.0
    ],
    "is_collection": false,
    "tags": [
      "string"
    ],
    "parent_id": "019cd179-8d61-7f65-a79c-b965dda9eac3",
    "project_id": "019cd179-8d61-7f65-a79c-b965dda9eac3",
    "dataset_id": "019cd179-8d61-7f65-a79c-b965dda9eac3",
    "file_path": "string",
    "bigquery_schema": null,
    "user_id": "string",
    "created_at": "2026-06-03T08:00:00Z",
    "modified_at": "2026-06-03T08:00:00Z",
    "share_status": "private",
    "short_alias": "string"
  },
  "storage_locations": [
    {
      "id": "019cd179-8d61-7f65-a79c-b965dda9eac3",
      "data_storage_id": "019cd179-8d61-7f65-a79c-b965dda9eac3",
      "storage_config": {
        "storage_type": "string",
        "content_type": "string",
        "content_schema": null,
        "metadata": null,
        "location": "string",
        "signed_url": "string"
      },
      "created_at": "2026-06-03T08:00:00Z"
    }
  ]
}

fetch_data_from_storage()

Fetch data from the storage system.

fetch_data_from_storage(
    data_storage_id: UUID | str | None = None,
) -> RawFetchResponse | Path | list[Path] | None

Returns RawFetchResponse | Path | list[Path] | None — one of:

RawFetchResponse

{
  "filename": "/local/path/to/file",
  "content": "string",
  "entry_id": "019cd179-8d61-7f65-a79c-b965dda9eac3",
  "entry_name": "string"
}

Path — "/local/path/to/file"

list[Path] — ["/local/path/to/file"]

None — null (e.g. not found / empty)

get_data_storage_entry()

Get a data storage entry with all details including storage locations and metadata.

get_data_storage_entry(
    data_storage_id: UUID | str,
) -> DataStorageResponse

Returns DataStorageResponse

{
  "data_storage": {
    "id": "019cd179-8d61-7f65-a79c-b965dda9eac3",
    "name": "string",
    "description": "string",
    "content": "string",
    "status": "pending",
    "embedding": [
      0.0
    ],
    "is_collection": false,
    "tags": [
      "string"
    ],
    "parent_id": "019cd179-8d61-7f65-a79c-b965dda9eac3",
    "project_id": "019cd179-8d61-7f65-a79c-b965dda9eac3",
    "dataset_id": "019cd179-8d61-7f65-a79c-b965dda9eac3",
    "file_path": "string",
    "bigquery_schema": null,
    "user_id": "string",
    "created_at": "2026-06-03T08:00:00Z",
    "modified_at": "2026-06-03T08:00:00Z",
    "share_status": "private",
    "short_alias": "string"
  },
  "storage_locations": [
    {
      "id": "019cd179-8d61-7f65-a79c-b965dda9eac3",
      "data_storage_id": "019cd179-8d61-7f65-a79c-b965dda9eac3",
      "storage_config": {
        "storage_type": "string",
        "content_type": "string",
        "content_schema": null,
        "metadata": null,
        "location": "string",
        "signed_url": "string"
      },
      "created_at": "2026-06-03T08:00:00Z"
    }
  ]
}

delete_data_storage_entry()

Delete a data storage entry.

delete_data_storage_entry(
    data_storage_entry_id: UUID,
) -> None

Returns nothing (None).

search_data_storage()

Search data storage objects using structured criteria.

search_data_storage(
    criteria: list[SearchCriterion] | None = None,
    limit: int = 10,
    offset: int = 0,
    filter_logic: FilterLogic = 'OR',
    text_query: str | None = None,
    highlight: bool = False,
    highlight_fields: list[str] | None = None,
    highlight_fragment_size: int = 1000,
    highlight_num_fragments: int = 3,
) -> list[dict]

Arguments

{
  "criteria": null,
  "limit": 10,
  "offset": 0,
  "filter_logic": "OR",
  "text_query": null,
  "highlight": false,
  "highlight_fields": null,
  "highlight_fragment_size": 1000,
  "highlight_num_fragments": 3
}

Returns list[dict]

Raw, unvalidated dicts (no Pydantic model).

similarity_search_data_storage()

Search data storage objects using vector similarity.

similarity_search_data_storage(
    embedding: list[float],
    size: int = 10,
    min_score: float = 0.7,
    dataset_id: UUID | None = None,
    tags: list[str] | None = None,
    user_id: str | None = None,
    project_id: str | None = None,
) -> list[dict]

Returns list[dict]

Raw, unvalidated dicts (no Pydantic model).

update_entry_permissions()

Update the permissions of a data storage entry.

update_entry_permissions(
    data_storage_id: UUID,
    share_status: ShareStatus,
    permitted_accessors: PermittedAccessors,
) -> DataStorageResponse

Arguments

{
  "data_storage_id": "019cd179-8d61-7f65-a79c-b965dda9eac3",
  "share_status": "private",
  "permitted_accessors": {
    "users": [
      "string"
    ],
    "organizations": [
      "string"
    ]
  }
}

Returns DataStorageResponse

{
  "data_storage": {
    "id": "019cd179-8d61-7f65-a79c-b965dda9eac3",
    "name": "string",
    "description": "string",
    "content": "string",
    "status": "pending",
    "embedding": [
      0.0
    ],
    "is_collection": false,
    "tags": [
      "string"
    ],
    "parent_id": "019cd179-8d61-7f65-a79c-b965dda9eac3",
    "project_id": "019cd179-8d61-7f65-a79c-b965dda9eac3",
    "dataset_id": "019cd179-8d61-7f65-a79c-b965dda9eac3",
    "file_path": "string",
    "bigquery_schema": null,
    "user_id": "string",
    "created_at": "2026-06-03T08:00:00Z",
    "modified_at": "2026-06-03T08:00:00Z",
    "share_status": "private",
    "short_alias": "string"
  },
  "storage_locations": [
    {
      "id": "019cd179-8d61-7f65-a79c-b965dda9eac3",
      "data_storage_id": "019cd179-8d61-7f65-a79c-b965dda9eac3",
      "storage_config": {
        "storage_type": "string",
        "content_type": "string",
        "content_schema": null,
        "metadata": null,
        "location": "string",
        "signed_url": "string"
      },
      "created_at": "2026-06-03T08:00:00Z"
    }
  ]
}

update_entry_tags()

Update the tags of a data storage entry.

update_entry_tags(
    data_storage_id: UUID | str,
    tags: list[str],
) -> DataStorageResponse

Returns DataStorageResponse

{
  "data_storage": {
    "id": "019cd179-8d61-7f65-a79c-b965dda9eac3",
    "name": "string",
    "description": "string",
    "content": "string",
    "status": "pending",
    "embedding": [
      0.0
    ],
    "is_collection": false,
    "tags": [
      "string"
    ],
    "parent_id": "019cd179-8d61-7f65-a79c-b965dda9eac3",
    "project_id": "019cd179-8d61-7f65-a79c-b965dda9eac3",
    "dataset_id": "019cd179-8d61-7f65-a79c-b965dda9eac3",
    "file_path": "string",
    "bigquery_schema": null,
    "user_id": "string",
    "created_at": "2026-06-03T08:00:00Z",
    "modified_at": "2026-06-03T08:00:00Z",
    "share_status": "private",
    "short_alias": "string"
  },
  "storage_locations": [
    {
      "id": "019cd179-8d61-7f65-a79c-b965dda9eac3",
      "data_storage_id": "019cd179-8d61-7f65-a79c-b965dda9eac3",
      "storage_config": {
        "storage_type": "string",
        "content_type": "string",
        "content_schema": null,
        "metadata": null,
        "location": "string",
        "signed_url": "string"
      },
      "created_at": "2026-06-03T08:00:00Z"
    }
  ]
}

Async

astore_file_content()

Awaitable twin of store_file_content() — identical arguments and return type.

astore_file_content(
    name: str,
    file_path: str | Path,
    description: str | None = None,
    file_path_override: str | Path | None = None,
    as_collection: bool = False,
    manifest_filename: str | None = None,
    ignore_patterns: list[str] | None = None,
    ignore_filename: str = '.gitignore',
    dataset_id: UUID | None = None,
    project_id: UUID | None = None,
    metadata: dict[str, Any] | None = None,
    tags: list[str] | None = None,
    parent_id: UUID | None = None,
    embedding: list[float] | None = None,
) -> DataStorageResponse

astore_text_content()

Awaitable twin of store_text_content() — identical arguments and return type.

astore_text_content(
    name: str,
    content: str,
    description: str | None = None,
    file_path: str | None = None,
    dataset_id: UUID | None = None,
    project_id: UUID | None = None,
    metadata: dict[str, Any] | None = None,
    tags: list[str] | None = None,
    parent_id: UUID | None = None,
    embedding: list[float] | None = None,
) -> DataStorageResponse

astore_link()

Awaitable twin of store_link() — identical arguments and return type.

astore_link(
    name: str,
    url: HttpUrl,
    description: str,
    instructions: str,
    api_key: str | None = None,
    metadata: dict[str, Any] | None = None,
    dataset_id: UUID | None = None,
    project_id: UUID | None = None,
    tags: list[str] | None = None,
    parent_id: UUID | None = None,
) -> DataStorageResponse

afetch_data_from_storage()

Awaitable twin of fetch_data_from_storage() — identical arguments and return type.

afetch_data_from_storage(
    data_storage_id: UUID | str | None = None,
) -> RawFetchResponse | Path | list[Path] | None

aget_data_storage_entry()

Awaitable twin of get_data_storage_entry() — identical arguments and return type.

aget_data_storage_entry(
    data_storage_id: UUID | str,
) -> DataStorageResponse

adelete_data_storage_entry()

Awaitable twin of delete_data_storage_entry() — identical arguments and return type.

adelete_data_storage_entry(
    data_storage_entry_id: UUID,
) -> None

asearch_data_storage()

Awaitable twin of search_data_storage() — identical arguments and return type.

asearch_data_storage(
    criteria: list[SearchCriterion] | None = None,
    limit: int = 10,
    offset: int = 0,
    filter_logic: FilterLogic = 'OR',
    text_query: str | None = None,
    highlight: bool = False,
    highlight_fields: list[str] | None = None,
    highlight_fragment_size: int = 1000,
    highlight_num_fragments: int = 3,
) -> list[dict]

asimilarity_search_data_storage()

Awaitable twin of similarity_search_data_storage() — identical arguments and return type.

asimilarity_search_data_storage(
    embedding: list[float],
    size: int = 10,
    min_score: float = 0.7,
    dataset_id: UUID | None = None,
    tags: list[str] | None = None,
    user_id: str | None = None,
    project_id: str | None = None,
) -> list[dict]

aupdate_entry_permissions()

Awaitable twin of update_entry_permissions() — identical arguments and return type.

aupdate_entry_permissions(
    data_storage_id: UUID,
    share_status: ShareStatus,
    permitted_accessors: PermittedAccessors,
) -> DataStorageResponse

aupdate_entry_tags()

Awaitable twin of update_entry_tags() — identical arguments and return type.

aupdate_entry_tags(
    data_storage_id: UUID | str,
    tags: list[str],
) -> DataStorageResponse

Projects

Sync

create_project()

Create a new project.

create_project(
    name: str,
    share_status: ShareStatus = 'private',
    permitted_accessors: PermittedAccessors | None = None,
    metadata: dict | None = None,
    description: str | None = None,
    persona_id: UUID | None = None,
) -> UUID

Arguments

{
  "name": "string",
  "share_status": "private",
  "permitted_accessors": null,
  "metadata": null,
  "description": null,
  "persona_id": null
}

Returns UUID

get_project_by_name()

Get a project UUID by name.

get_project_by_name(
    name: str,
    limit: int = 2,
    persona_id: UUID | None = None,
) -> UUID | list[UUID]

Returns UUID | list[UUID] — one of:

UUID — "019cd179-8d61-7f65-a79c-b965dda9eac3"

list[UUID] — ["019cd179-8d61-7f65-a79c-b965dda9eac3"]

add_task_to_project()

Add a task to a project. Use this to assign or reassign a task to a project.

add_task_to_project(
    project_id: UUID,
    trajectory_id: str,
) -> None

Returns nothing (None).

delete_project()

Delete a project.

delete_project(
    project_id: UUID,
    delete_trajectories: bool = True,
) -> None

Returns nothing (None).

Async

acreate_project()

Awaitable twin of create_project() — identical arguments and return type.

acreate_project(
    name: str,
    share_status: ShareStatus = 'private',
    permitted_accessors: PermittedAccessors | None = None,
    metadata: dict | None = None,
    description: str | None = None,
    persona_id: UUID | None = None,
) -> UUID

aget_project_by_name()

Awaitable twin of get_project_by_name() — identical arguments and return type.

aget_project_by_name(
    name: str,
    limit: int = 2,
    persona_id: UUID | None = None,
) -> UUID | list[UUID]

aadd_task_to_project()

Awaitable twin of add_task_to_project() — identical arguments and return type.

aadd_task_to_project(
    project_id: UUID,
    trajectory_id: str,
) -> None

adelete_project()

Awaitable twin of delete_project() — identical arguments and return type.

adelete_project(
    project_id: UUID,
    delete_trajectories: bool = True,
) -> None