Source code for pinecone.async_client.pinecone

"""Asynchronous Pinecone client."""

from __future__ import annotations

from collections.abc import Mapping
from dataclasses import replace
from typing import TYPE_CHECKING, Any
from urllib.parse import quote

from pinecone._internal.adaptive import _AdaptiveLimiterRegistry
from pinecone._internal.config import PineconeConfig, RetryConfig
from pinecone._internal.constants import CONTROL_PLANE_API_VERSION, DEFAULT_BASE_URL
from pinecone._internal.index_migration import (
    reject_new_only_configure_kwargs,
    reject_new_only_create_kwargs,
)
from pinecone._internal.indexes_helpers import IndexKwargs, async_poll_index_until_ready
from pinecone._internal.keyword_only import keyword_only_methods
from pinecone._internal.validation import require_non_empty
from pinecone.errors.exceptions import ValidationError
from pinecone.models.indexes.list import IndexList

if TYPE_CHECKING:
    from pinecone.async_client.assistants import AsyncAssistants
    from pinecone.async_client.async_index import AsyncIndex
    from pinecone.async_client.backup_schedules import AsyncBackupSchedules
    from pinecone.async_client.backups import AsyncBackups
    from pinecone.async_client.collections import AsyncCollections
    from pinecone.async_client.indexes import AsyncIndexes
    from pinecone.async_client.inference import AsyncInference
    from pinecone.async_client.restore_jobs import AsyncRestoreJobs
    from pinecone.client._assistant_namespace_proxy import _AsyncAssistantNamespaceProxy
    from pinecone.inference.models.index_embed import IndexEmbed
    from pinecone.models.backups.list import BackupList, RestoreJobList
    from pinecone.models.backups.model import (
        BackupModel,
        CreateIndexFromBackupResponse,
        RestoreJobModel,
    )
    from pinecone.models.collections.list import CollectionList
    from pinecone.models.collections.model import CollectionModel
    from pinecone.models.enums import (
        AwsRegion,
        AzureRegion,
        CloudProvider,
        DeletionProtection,
        GcpRegion,
        Metric,
        PodType,
        VectorType,
    )
    from pinecone.models.indexes.index import IndexModel
    from pinecone.models.indexes.specs import EmbedConfig


[docs] @keyword_only_methods class AsyncPinecone: """Asynchronous Pinecone client for control-plane operations. The async entry point for the SDK. Use the ``indexes``, ``collections``, and ``backups`` namespace properties to create and manage those resources, and await :meth:`index` to get a client for reading and writing vectors on a specific index. Args: api_key (str | None): Pinecone API key. Falls back to ``PINECONE_API_KEY`` env var. host (str | None): Control-plane API host. Falls back to ``PINECONE_CONTROLLER_HOST`` env var, then defaults to ``https://api.pinecone.io``. additional_headers (Mapping[str, str] | None): Extra headers included in every request. source_tag (str | None): Tag appended to the User-Agent string for request attribution. proxy_url (str | None): HTTP proxy URL for outgoing requests. proxy_headers (Mapping[str, str] | None): Not yet supported. Raises ``NotImplementedError`` if provided. ssl_ca_certs (str | None): Path to a CA certificate bundle for SSL verification. ssl_verify (bool): Whether to verify SSL certificates. Defaults to ``True``. timeout (float): Request timeout in seconds. Defaults to ``30.0``. connection_pool_maxsize (int): Maximum number of connections to keep in the pool. ``0`` (default) uses httpx defaults. retry_config (RetryConfig | None): Custom retry configuration. When ``None`` (default), uses built-in defaults (5 attempts, exponential backoff, retries on 500/502/503/504 for GET/HEAD). Raises: :exc:`PineconeValueError`: If no API key can be resolved from arguments or environment variables. :exc:`FileNotFoundError`: If ``ssl_ca_certs`` names a path that does not exist, so a mistyped path cannot leave you silently verifying against the default trust store instead. Unlike the sync client, this is raised on the first request rather than at construction time. A bundle that exists but cannot be parsed as a certificate raises :exc:`ssl.SSLError` at the same point. Examples: .. code-block:: python from pinecone import AsyncPinecone async with AsyncPinecone(api_key="your-api-key") as pc: index = await pc.index(name="my-index") async with index: results = await index.query( vector=[0.012, -0.087, 0.153, ...], # 1536-dim embedding top_k=10, ) .. note:: **Differences from sync Pinecone** 1. **index() is a coroutine.** Unlike the sync ``Pinecone`` client, ``AsyncPinecone.index()`` must be awaited: ``idx = await pc.index(name="my-index")``. On cache miss it performs a non-blocking describe call to resolve the host — no manual two-step dance needed. 2. **upsert_from_dataframe() is not supported.** ``AsyncIndex`` raises ``NotImplementedError`` for this method. Use batched ``upsert()`` calls instead. 3. **No grpc parameter on index().** Async gRPC transport is not yet available, so the ``grpc`` option accepted by the sync client is absent here. """
[docs] def __init__( self, api_key: str | None = None, *, host: str | None = None, additional_headers: Mapping[str, str] | None = None, source_tag: str | None = None, proxy_url: str | None = None, proxy_headers: Mapping[str, str] | None = None, ssl_ca_certs: str | None = None, ssl_verify: bool = True, timeout: float = 30.0, connection_pool_maxsize: int = 0, retry_config: RetryConfig | None = None, ) -> None: if proxy_headers: raise NotImplementedError("proxy_headers is not yet supported for the async client") self._limiter_registry = _AdaptiveLimiterRegistry() augmented_retry_config = replace( retry_config or RetryConfig(), on_throttle=self._limiter_registry.report_throttled, ) config = PineconeConfig( api_key=api_key or "", host=host or "", timeout=timeout, additional_headers=dict(additional_headers or {}), source_tag=source_tag or "", proxy_url=proxy_url or "", ssl_ca_certs=ssl_ca_certs, ssl_verify=ssl_verify, connection_pool_maxsize=connection_pool_maxsize, retry_config=augmented_retry_config, ) if not config.api_key: raise ValidationError( "No API key provided. Pass api_key='...' or set the " "PINECONE_API_KEY environment variable." ) # Apply default host if none resolved resolved_host = config.host or DEFAULT_BASE_URL if resolved_host != config.host: config = replace(config, host=resolved_host) self._config = config from pinecone._internal.http_client import AsyncHTTPClient self._http = AsyncHTTPClient(config, CONTROL_PLANE_API_VERSION) self._indexes: AsyncIndexes | None = None self._collections: AsyncCollections | None = None self._assistants: AsyncAssistants | None = None self._backups: AsyncBackups | None = None self._backup_schedules: AsyncBackupSchedules | None = None self._restore_jobs: AsyncRestoreJobs | None = None self._inference: AsyncInference | None = None self._host_cache: dict[str, str] = {}
def __repr__(self) -> str: """Return a debug-friendly representation with the API key masked. Only the last four characters of the API key are shown, so it is safe to include in logs, tracebacks, or ``repr()`` output. Returns: A string like ``"AsyncPinecone(api_key='...ab12', host='https://api.pinecone.io')"``. """ masked = f"...{self._config.api_key[-4:]}" if len(self._config.api_key) >= 4 else "***" return f"AsyncPinecone(api_key='{masked}', host='{self._config.host}')" @property def indexes(self) -> AsyncIndexes: """Access the AsyncIndexes namespace for control-plane index operations. Lazily imported and instantiated on first access. Returns: :class:`AsyncIndexes` namespace instance. Examples: .. code-block:: python async with AsyncPinecone(api_key="your-api-key") as pc: async for idx in pc.indexes.list(): print(idx.name) """ if self._indexes is None: from pinecone.async_client.indexes import AsyncIndexes as _AsyncIndexes self._indexes = _AsyncIndexes(http=self._http, host_cache=self._host_cache) return self._indexes @property def collections(self) -> AsyncCollections: """Access the AsyncCollections namespace for control-plane collection operations. Lazily imported and instantiated on first access. Returns: :class:`AsyncCollections` namespace instance. Examples: .. code-block:: python async with AsyncPinecone(api_key="your-api-key") as pc: for col in await pc.collections.list(): print(col.name) """ if self._collections is None: from pinecone.async_client.collections import AsyncCollections as _AsyncCollections self._collections = _AsyncCollections(http=self._http) return self._collections @property def assistants(self) -> AsyncAssistants: """Access the AsyncAssistants namespace for managing Pinecone Assistants. A Pinecone Assistant is a hosted, retrieval-augmented chat service: upload files to it and it answers questions grounded in their content. Use this namespace to create, list, and configure assistants. Lazily imported and instantiated on first access. Returns: :class:`AsyncAssistants` namespace instance. Call :meth:`~pinecone.async_client.assistants.AsyncAssistants.create` to create an assistant, or :meth:`~pinecone.async_client.assistants.AsyncAssistants.list` to see existing ones. Examples: .. code-block:: python async with AsyncPinecone(api_key="your-api-key") as pc: assistants = await pc.assistants.list() """ if self._assistants is None: from pinecone.async_client.assistants import AsyncAssistants as _AsyncAssistants self._assistants = _AsyncAssistants(config=self._config) return self._assistants @property def assistant(self) -> _AsyncAssistantNamespaceProxy: """Access assistants through the singular-form alias for :attr:`AsyncPinecone.assistants`. :attr:`AsyncPinecone.assistants` is the canonical namespace; this alias exists for ergonomic singular-form access and is not deprecated. It forwards attribute access to that namespace and also supports calling it directly with a name as a shortcut for :meth:`~pinecone.async_client.assistants.AsyncAssistants.describe`. Returns: A proxy that behaves like the :class:`AsyncAssistants` namespace for attribute access (``pc.assistant.create(...)``) and, when awaited with a name, returns that assistant's details. Examples: .. code-block:: python async with AsyncPinecone(api_key="your-api-key") as pc: bot = await pc.assistant("acme-support-bot") await pc.assistant.create( name="support-bot", instructions="Help users with billing questions.", ) """ from pinecone.client._assistant_namespace_proxy import _AsyncAssistantNamespaceProxy return _AsyncAssistantNamespaceProxy(self.assistants) @property def backups(self) -> AsyncBackups: """Access the AsyncBackups namespace for control-plane backup operations. Lazily imported and instantiated on first access. Returns: :class:`AsyncBackups` namespace instance. Examples: .. code-block:: python async with AsyncPinecone(api_key="your-api-key") as pc: for backup in await pc.backups.list(): print(backup.backup_id) """ if self._backups is None: from pinecone.async_client.backups import AsyncBackups as _AsyncBackups self._backups = _AsyncBackups(http=self._http) return self._backups @property def backup_schedules(self) -> AsyncBackupSchedules: """Access the AsyncBackupSchedules namespace for managing recurring backups. A backup schedule attaches a recurring cadence (daily, weekly, or monthly) to an index, so Pinecone creates a backup automatically without you having to trigger one each time. Lazily imported and instantiated on first access. Returns: :class:`AsyncBackupSchedules` namespace instance. Call :meth:`~pinecone.async_client.backup_schedules.AsyncBackupSchedules.create` to attach a schedule to an index, or :meth:`~pinecone.async_client.backup_schedules.AsyncBackupSchedules.list` to see existing ones. Examples: .. code-block:: python async with AsyncPinecone(api_key="your-api-key") as pc: schedules = await pc.backup_schedules.list(index_name="my-index") """ if self._backup_schedules is None: from pinecone.async_client.backup_schedules import ( AsyncBackupSchedules as _AsyncBackupSchedules, ) self._backup_schedules = _AsyncBackupSchedules(http=self._http) return self._backup_schedules @property def restore_jobs(self) -> AsyncRestoreJobs: """Access the AsyncRestoreJobs namespace for tracking backup restores. A restore job represents an in-progress or completed request to create an index from a backup; use this namespace to check on that request rather than polling the index itself. Lazily imported and instantiated on first access. Returns: :class:`AsyncRestoreJobs` namespace instance. Call :meth:`~pinecone.async_client.restore_jobs.AsyncRestoreJobs.list` to see restore jobs, or :meth:`~pinecone.async_client.restore_jobs.AsyncRestoreJobs.describe` for the status of one. Examples: .. code-block:: python async with AsyncPinecone(api_key="your-api-key") as pc: for job in await pc.restore_jobs.list(): print(job.restore_job_id) """ if self._restore_jobs is None: from pinecone.async_client.restore_jobs import AsyncRestoreJobs as _AsyncRestoreJobs self._restore_jobs = _AsyncRestoreJobs(http=self._http) return self._restore_jobs @property def inference(self) -> AsyncInference: """Access the AsyncInference namespace for embedding and reranking text. Use this to generate vector embeddings from text or images, or to rerank a list of documents by relevance to a query, without running a model yourself. Lazily imported and instantiated on first access. Returns: :class:`AsyncInference` namespace instance. Call :meth:`~pinecone.async_client.inference.AsyncInference.embed` to generate embeddings, or :meth:`~pinecone.async_client.inference.AsyncInference.rerank` to reorder documents by relevance. Examples: .. code-block:: python async with AsyncPinecone(api_key="your-api-key") as pc: embeddings = await pc.inference.embed( model="multilingual-e5-large", inputs=["Hello, world!"], ) """ if self._inference is None: from pinecone.async_client.inference import AsyncInference as _AsyncInference self._inference = _AsyncInference(config=self._config) return self._inference
[docs] async def create_index_from_backup( self, *, name: str, backup_id: str, deletion_protection: DeletionProtection | str | None = None, tags: Mapping[str, str] | None = None, read_capacity: dict[str, Any] | None = None, timeout: int | None = None, ) -> CreateIndexFromBackupResponse | IndexModel: """Create a new index by restoring from a backup. Polls until the restored index is ready, unless *timeout* is ``-1``. This is the only supported way to restore a backup: :meth:`AsyncPinecone.create_index` rejects ``source_backup_id=`` with a message pointing here. .. versionchanged:: 10.0 Added *read_capacity*, so a restore can land straight onto dedicated read nodes instead of defaulting to on-demand capacity. Args: name (str): Name for the new index. backup_id (str): Identifier of the backup to restore from. Obtain this from :meth:`AsyncPinecone.backups.create` or :meth:`AsyncPinecone.backups.list`. deletion_protection (DeletionProtection | str | None): ``"enabled"`` or ``"disabled"``. Defaults to ``"disabled"`` server-side when omitted. tags (Mapping[str, str] | None): Optional key-value tags for the new index. When omitted, the server copies the backup's own tags. read_capacity (dict[str, Any] | None): Optional read capacity for the restored index — ``{"mode": "OnDemand"}`` or ``{"mode": "Dedicated", "dedicated": {"node_type": ..., "scaling": "Manual", "manual": {"shards": ..., "replicas": ...}}}``. Omitted entirely when ``None``, leaving the server's on-demand default in place. Serverless backups only; the server rejects a dedicated configuration too small for the backup. timeout (int | None): Seconds to wait for readiness. ``None`` (default) blocks up to 300 s. ``-1`` returns a :class:`CreateIndexFromBackupResponse` immediately (contains ``restore_job_id`` and ``index_id``) without polling. Returns: A :class:`CreateIndexFromBackupResponse` when *timeout* is ``-1`` (contains ``restore_job_id`` and ``index_id``), or an :class:`IndexModel` describing the restored index once it is ready. Raises: :exc:`PineconeValueError`: If *name* or *backup_id* is empty, or *read_capacity* is an empty dict. :exc:`PineconeTimeoutError`: If the index is not ready within the timeout. :exc:`IndexInitFailedError`: If the index enters ``InitializationFailed`` state. :exc:`IndexTerminatedError`: If the index enters ``Terminating`` or ``Disabled`` state. :exc:`NotFoundError`: If *backup_id* does not match an existing backup. :exc:`ConflictError`: If an index named *name* already exists. :exc:`ApiError`: If the API returns another error response, for example if the backup is not yet complete. Examples: .. code-block:: python # Restore an index from a backup from pinecone import AsyncPinecone async with AsyncPinecone(api_key="your-api-key") as pc: index = await pc.create_index_from_backup( name="product-search-restored", backup_id="bk-daily-20240115", ) .. code-block:: python # Restore without waiting (returns restore_job_id) async with AsyncPinecone(api_key="your-api-key") as pc: result = await pc.create_index_from_backup( name="product-search-restored", backup_id="bk-daily-20240115", timeout=-1, ) print(result.restore_job_id) .. code-block:: python # Restore directly onto dedicated read nodes async with AsyncPinecone(api_key="your-api-key") as pc: index = await pc.create_index_from_backup( name="restored-drn-index", backup_id="bk-daily-20240115", read_capacity={ "mode": "Dedicated", "dedicated": { "node_type": "t1", "scaling": "Manual", "manual": {"shards": 2, "replicas": 2}, }, }, ) """ require_non_empty("name", name) require_non_empty("backup_id", backup_id) if read_capacity is not None and not read_capacity: raise ValidationError("read_capacity cannot be an empty dict") dp_val: str | None = None if deletion_protection is not None: dp_val = ( deletion_protection.value if hasattr(deletion_protection, "value") else deletion_protection ) from pinecone._internal.adapters.backups_adapter import BackupsAdapter from pinecone.models.backups.model import CreateIndexFromBackupRequest request = CreateIndexFromBackupRequest( name=name, tags=dict(tags) if tags is not None else None, deletion_protection=dp_val, read_capacity=read_capacity, ) response = await self._http.post( f"/backups/{quote(backup_id, safe='')}/create-index", content=BackupsAdapter.to_create_index_from_backup_request(request), headers={"Content-Type": "application/json"}, ) create_response = BackupsAdapter.to_create_index_from_backup_response(response.content) if timeout == -1: return create_response effective_timeout = timeout if timeout is not None else 300 return await async_poll_index_until_ready(self.indexes.describe, name, effective_timeout)
@property def config(self) -> PineconeConfig: """Return the resolved configuration for this client. Returns: :class:`~pinecone._internal.config.PineconeConfig` containing the resolved API key, host, timeout, and connection settings. Examples: >>> cfg = pc.config >>> cfg.timeout 30.0 """ return self._config # ---- Backcompat flat-method delegates (:meta private:) ---- async def create_index( self, *, name: str, spec: Any = None, dimension: int | None = None, metric: Metric | str | None = None, vector_type: VectorType | str | None = None, deletion_protection: DeletionProtection | str | None = None, tags: Mapping[str, str] | None = None, timeout: int | None = None, **legacy_kwargs: Any, ) -> IndexModel: """Backwards-compatibility shim for :meth:`AsyncPinecone.indexes.create`. Preserved to ease migration from the legacy (9.x) Pinecone Python SDK, with the same legacy parameter list. New code should use ``await pc.indexes.create(...)`` instead, which additionally accepts the 2026-07 ``schema=``/``deployment=``/``read_capacity=``/ ``cmek_id=`` surface not available here. ``pods=``/``metadata_config=``/ ``source_collection=``/``source_backup_id=`` reach :meth:`AsyncPinecone.indexes.create`, which raises for them. Args: name (str): Name for the index — 1-45 characters, lowercase alphanumerics and hyphens. spec (Any): A :class:`~pinecone.models.indexes.specs.ServerlessSpec`, :class:`~pinecone.models.indexes.specs.PodSpec`, :class:`~pinecone.models.indexes.specs.ByocSpec`, or equivalent dict, translated into ``deployment=`` by :meth:`AsyncPinecone.indexes.create`. dimension (int | None): Dense vector width, translated into a single-field ``schema=``. metric (Metric | str | None): Similarity metric — ``"cosine"`` (default), ``"euclidean"``, or ``"dotproduct"``. vector_type (VectorType | str | None): ``"dense"`` (default) or ``"sparse"``. deletion_protection (DeletionProtection | str | None): ``"enabled"`` or ``"disabled"`` (default). tags (Mapping[str, str] | None): Optional key-value tags to attach. timeout (int | None): Seconds to wait for the index to become ready. ``None`` (default) waits indefinitely; ``-1`` returns immediately. **legacy_kwargs: Legacy keywords such as ``pods=``, ``metadata_config=``, ``source_collection=``, and ``source_backup_id=``, forwarded to :meth:`AsyncPinecone.indexes.create`, which rejects them. Returns: :class:`IndexModel` describing the created index. Raises: :exc:`PineconeTypeError`: If an unsupported legacy keyword is passed. :exc:`IndexInitFailedError`: If the index fails to initialize. :exc:`PineconeTimeoutError`: If the index isn't ready before *timeout* elapses. :exc:`ApiError`: If the API returns another error response. Examples: >>> async with AsyncPinecone(api_key="your-api-key") as pc: # doctest: +SKIP ... index = await pc.create_index( ... name="movie-recommendations", dimension=1536, metric="cosine", ... ) :meta private: """ reject_new_only_create_kwargs(legacy_kwargs) return await self.indexes.create( name=name, spec=spec, dimension=dimension, metric=metric, vector_type=vector_type, deletion_protection=deletion_protection, tags=tags, timeout=timeout, **legacy_kwargs, ) async def create_index_for_model( self, name: str, cloud: CloudProvider | str, region: AwsRegion | GcpRegion | AzureRegion | str, embed: IndexEmbed | EmbedConfig | dict[str, Any], tags: Mapping[str, str] | None = None, deletion_protection: DeletionProtection | str | None = "disabled", read_capacity: dict[str, Any] | None = None, schema: dict[str, Any] | None = None, timeout: int | None = None, ) -> IndexModel: """Backwards-compatibility shim for :meth:`AsyncPinecone.indexes.create_for_model`. Preserved to ease migration from the legacy Pinecone Python SDK. New code should use ``await pc.indexes.create_for_model(...)`` instead of ``await pc.create_index_for_model(...)``. Args: name (str): Name for the index — 1-45 characters, lowercase alphanumerics and hyphens. cloud (CloudProvider | str): Public cloud provider — ``"aws"``, ``"gcp"``, or ``"azure"``. region (AwsRegion | GcpRegion | AzureRegion | str): Cloud region, e.g. ``"us-east-1"``. embed (IndexEmbed | EmbedConfig | dict[str, Any]): Embedding configuration with required ``model`` and ``field_map``, and optional ``metric``, ``dimension``, ``read_parameters``, ``write_parameters``. The model cannot be changed after creation. tags (Mapping[str, str] | None): Optional key-value tags to attach. deletion_protection (DeletionProtection | str | None): ``"enabled"`` or ``"disabled"`` (default). read_capacity (dict[str, Any] | None): Optional read capacity dict. schema (dict[str, Any] | None): Optional metadata schema for filterable metadata fields. timeout (int | None): Seconds to wait for the index to become ready. ``None`` (default) waits indefinitely; ``-1`` returns immediately. Returns: :class:`IndexModel` describing the created index. Raises: :exc:`PineconeValueError`: If *name*, *cloud*, *region*, or *embed* fail client-side validation. :exc:`ApiError`: If the API returns another error response. Examples: >>> async with AsyncPinecone(api_key="your-api-key") as pc: # doctest: +SKIP ... index = await pc.create_index_for_model( ... name="semantic-search", ... cloud="aws", ... region="us-east-1", ... embed={"model": "multilingual-e5-large", ... "field_map": {"text": "chunk_text"}}, ... ) :meta private: """ return await self.indexes.create_for_model( name=name, cloud=cloud, region=region, embed=embed, deletion_protection=deletion_protection, tags=tags, schema=schema, read_capacity=read_capacity, timeout=timeout, ) async def describe_index(self, name: str) -> IndexModel: """Backwards-compatibility shim for :meth:`AsyncPinecone.indexes.describe`. Preserved to ease migration from the legacy Pinecone Python SDK. New code should use ``await pc.indexes.describe(...)`` instead of ``await pc.describe_index(...)``. Args: name (str): The name of the index to describe. Returns: :class:`IndexModel` with name, host, schema, deployment, read_capacity, status, deletion_protection, and tags. Raises: :exc:`PineconeValueError`: If *name* is empty. :exc:`NotFoundError`: If the index does not exist. :exc:`ApiError`: If the API returns another error response. Examples: >>> desc = await pc.describe_index("my-index") # doctest: +SKIP >>> desc.host # doctest: +SKIP 'https://my-index.svc.pinecone.io' :meta private: """ return await self.indexes.describe(name) async def list_indexes(self) -> IndexList: """Backwards-compatibility shim for :meth:`AsyncPinecone.indexes.list`. Preserved to ease migration from the legacy Pinecone Python SDK. New code should use ``pc.indexes.list()`` instead of ``await pc.list_indexes()``, which returns an :class:`~pinecone.models.pagination.AsyncPaginator`. Returns: :class:`IndexList` wrapping every index in the project. Raises: :exc:`ApiError`: If the API returns an error response. Examples: >>> for index in await pc.list_indexes(): # doctest: +SKIP ... print(index.name) :meta private: """ return IndexList(await self.indexes.list().to_list()) async def has_index(self, name: str) -> bool: """Backwards-compatibility shim for :meth:`AsyncPinecone.indexes.exists`. Preserved to ease migration from the legacy Pinecone Python SDK. New code should use ``await pc.indexes.exists(...)`` instead of ``await pc.has_index(...)``. Args: name (str): The name of the index to check. Returns: True if the index exists, False otherwise. Raises: :exc:`PineconeValueError`: If *name* is empty. :exc:`ApiError`: If the API returns an error response other than a not-found error. :meta private: """ return await self.indexes.exists(name) async def configure_index( self, name: str, *, replicas: int | None = None, pod_type: PodType | str | None = None, deletion_protection: DeletionProtection | str | None = None, tags: Mapping[str, str] | None = None, embed: Any = None, read_capacity: dict[str, Any] | None = None, serverless_read_capacity: dict[str, Any] | None = None, **legacy_kwargs: Any, ) -> IndexModel: """Backwards-compatibility shim for :meth:`AsyncPinecone.indexes.configure`. Preserved to ease migration from the legacy Pinecone Python SDK. New code should use ``await pc.indexes.configure(...)`` instead of ``await pc.configure_index(...)``, which additionally accepts the 2026-07 ``deployment=``/``schema=`` surface not available here. ``embed=`` reaches :meth:`AsyncPinecone.indexes.configure`, which raises for it: the 2025-10 convert-to-integrated flow has no 2026-07 equivalent. .. versionchanged:: 10.0 Returns the updated :class:`IndexModel` where the 9.x method returned ``None``. Args: name (str): Name of the index to configure. replicas (int | None): Pod-based replica count. pod_type (PodType | str | None): Pod type, e.g. ``"p1.x2"``. deletion_protection (DeletionProtection | str | None): ``"enabled"`` or ``"disabled"``. tags (Mapping[str, str] | None): Tag updates, merged with existing tags on the server. Set a value to ``""`` to delete that key. embed (Any): Not supported by this shim; passing a value raises. read_capacity (dict[str, Any] | None): Updated read capacity, e.g. ``{"mode": "OnDemand"}``. serverless_read_capacity (dict[str, Any] | None): Alias for *read_capacity*. Returns: :class:`IndexModel` reflecting the updated index state. Raises: :exc:`PineconeTypeError`: If ``embed=`` is passed, or an argument outside this shim's signature is given. :exc:`PineconeValueError`: If *name* is empty or every other argument is left at its default. :exc:`NotFoundError`: If the index does not exist. :exc:`ApiError`: If the API returns another error response. :meta private: """ reject_new_only_configure_kwargs(legacy_kwargs) return await self.indexes.configure( name, replicas=replicas, pod_type=pod_type, deletion_protection=deletion_protection, tags=tags, embed=embed, read_capacity=read_capacity, serverless_read_capacity=serverless_read_capacity, **legacy_kwargs, ) async def delete_index(self, name: str, timeout: int | None = None) -> None: """Backwards-compatibility shim for :meth:`AsyncPinecone.indexes.delete`. Preserved to ease migration from the legacy Pinecone Python SDK. New code should use ``await pc.indexes.delete(...)`` instead of ``await pc.delete_index(...)``. Args: name (str): The name of the index to delete. timeout (int | None): Seconds to wait for the index to disappear. Use ``None`` (default) to poll indefinitely until the index is gone. Use a positive int to poll with a deadline. Use ``-1`` to return immediately without polling. Raises: :exc:`PineconeValueError`: If *name* is empty. :exc:`NotFoundError`: If the index does not exist. :exc:`ForbiddenError`: If deletion protection is enabled on the index. :exc:`PineconeTimeoutError`: If the index still exists after *timeout* seconds. :exc:`ApiError`: If the API returns another error response. :meta private: """ await self.indexes.delete(name, timeout=timeout) async def create_collection(self, name: str, source: str) -> CollectionModel: """Backwards-compatibility shim for :meth:`AsyncPinecone.collections.create`. Preserved to ease migration from the legacy Pinecone Python SDK. New code should use ``await pc.collections.create(...)`` instead of ``await pc.create_collection(...)``. Args: name (str): Name for the new collection. 1-45 characters, lowercase alphanumeric and hyphens only, and can't start or end with a hyphen (e.g. ``"movie-embeddings-snapshot"``). source (str): Name of the pod-based index to copy. Returns: A :class:`CollectionModel` describing the created collection. Raises: :exc:`PineconeValueError`: If *name* or *source* is empty, or *name* doesn't meet the naming rules above. :exc:`NotFoundError`: If *source* does not name an index in this project. :meta private: """ return await self.collections.create(name=name, source=source) async def list_collections(self) -> CollectionList: """Backwards-compatibility shim for :meth:`AsyncPinecone.collections.list`. Preserved to ease migration from the legacy Pinecone Python SDK. New code should use ``await pc.collections.list()`` instead of ``await pc.list_collections()``. Returns: A :class:`CollectionList` supporting iteration, len(), index access, and a names() convenience method. :meta private: """ return await self.collections.list() async def describe_collection(self, name: str) -> CollectionModel: """Backwards-compatibility shim for :meth:`AsyncPinecone.collections.describe`. Preserved to ease migration from the legacy Pinecone Python SDK. New code should use ``await pc.collections.describe(...)`` instead of ``await pc.describe_collection(...)``. Args: name (str): Name of the collection to describe. Returns: A :class:`CollectionModel` with the collection's name, status, size, dimension, vector_count, and environment. Raises: :exc:`PineconeValueError`: If *name* is empty. :exc:`NotFoundError`: If the collection does not exist. :meta private: """ return await self.collections.describe(name) async def delete_collection(self, name: str) -> None: """Backwards-compatibility shim for :meth:`AsyncPinecone.collections.delete`. Preserved to ease migration from the legacy Pinecone Python SDK. New code should use ``await pc.collections.delete(...)`` instead of ``await pc.delete_collection(...)``. Args: name (str): Name of the collection to delete. Raises: :exc:`PineconeValueError`: If *name* is empty. :exc:`NotFoundError`: If the collection does not exist. :meta private: """ await self.collections.delete(name) async def create_backup( self, *, index_name: str, backup_name: str | None = None, description: str | None = None, ) -> BackupModel: """Backwards-compatibility shim for :meth:`AsyncPinecone.backups.create`. Preserved to ease migration from the legacy Pinecone Python SDK. New code should use ``await pc.backups.create(...)`` instead of ``await pc.create_backup(...)``. Note the keyword is *backup_name* here, where :meth:`AsyncPinecone.backups.create` uses *name*. Args: index_name (str): Name of the index to back up. backup_name (str | None): Name for the backup, e.g. ``"daily-20240115"``. When omitted, the backup has no name and is identified only by its ``backup_id``. description (str | None): Description for the backup. Returns: A :class:`BackupModel` describing the new backup. The call returns once the backup is initiated; check its ``status`` via :meth:`AsyncPinecone.describe_backup` to see when it's ready. Raises: :exc:`PineconeValueError`: If *index_name* is empty. :exc:`ForbiddenError`: If the organization's plan does not include backups. :exc:`NotFoundError`: If *index_name* does not resolve to an index in this project. :exc:`ApiError`: If the API returns another error response, for example because *index_name* names a pod-based index. :meta private: """ return await self.backups.create( index_name=index_name, name=backup_name, description=description, ) async def list_backups( self, *, index_name: str | None = None, limit: int | None = None, pagination_token: str | None = None, include_deleted: bool | None = None, ) -> BackupList: """Backwards-compatibility shim for :meth:`AsyncPinecone.backups.list`. Preserved to ease migration from the legacy Pinecone Python SDK. New code should use ``await pc.backups.list(...)`` instead of ``await pc.list_backups(...)``. Args: index_name (str | None): Index name to scope the listing to, or ``None`` for every backup in the project. limit (int | None): Maximum number of results per page. pagination_token (str | None): Token naming the next page, taken from a previous :class:`BackupList`'s pagination info. include_deleted (bool | None): When ``True``, include backups of every index that has ever used *index_name*, deleted ones included. Only valid together with *index_name*. Returns: A :class:`BackupList` supporting iteration, len(), and index access. Raises: :exc:`PineconeValueError`: If *include_deleted* is given without *index_name*. :exc:`NotFoundError`: If *index_name* does not resolve to an active index and *include_deleted* is not ``True``. :exc:`ApiError`: If the API returns another error response. :meta private: """ return await self.backups.list( index_name=index_name, limit=limit, pagination_token=pagination_token, include_deleted=include_deleted, ) async def describe_backup(self, *, backup_id: str) -> BackupModel: """Backwards-compatibility shim for :meth:`AsyncPinecone.backups.describe`. Preserved to ease migration from the legacy Pinecone Python SDK. New code should use ``await pc.backups.describe(...)`` instead of ``await pc.describe_backup(...)``. Args: backup_id (str): The identifier of the backup to describe. Returns: A :class:`BackupModel` with full backup details. Raises: :exc:`PineconeValueError`: If *backup_id* is empty. :exc:`NotFoundError`: If the backup does not exist. :exc:`ApiError`: If the API returns another error response. :meta private: """ return await self.backups.describe(backup_id=backup_id) async def delete_backup(self, *, backup_id: str) -> None: """Backwards-compatibility shim for :meth:`AsyncPinecone.backups.delete`. Preserved to ease migration from the legacy Pinecone Python SDK. New code should use ``await pc.backups.delete(...)`` instead of ``await pc.delete_backup(...)``. Args: backup_id (str): The identifier of the backup to delete. Raises: :exc:`PineconeValueError`: If *backup_id* is empty. :exc:`NotFoundError`: If the backup does not exist. :exc:`ApiError`: If the API returns another error response. :meta private: """ await self.backups.delete(backup_id=backup_id) async def list_restore_jobs( self, *, limit: int | None = None, pagination_token: str | None = None, ) -> RestoreJobList: """Backwards-compatibility shim for :meth:`AsyncPinecone.restore_jobs.list`. Preserved to ease migration from the legacy Pinecone Python SDK. New code should use ``await pc.restore_jobs.list(...)`` instead of ``await pc.list_restore_jobs(...)``. Returns a single page and does not auto-fetch further pages; see :meth:`AsyncPinecone.restore_jobs.list` for pagination details and a note on its known limitations. Args: limit (int | None): Maximum number of results per page. pagination_token (str | None): Token naming the next page, taken from a previous :class:`RestoreJobList`'s pagination info. Returns: A :class:`RestoreJobList` supporting iteration, len(), and index access. Raises: :exc:`ApiError`: If the API returns an error response. :meta private: """ return await self.restore_jobs.list( limit=limit, pagination_token=pagination_token, ) async def describe_restore_job(self, *, job_id: str) -> RestoreJobModel: """Backwards-compatibility shim for :meth:`AsyncPinecone.restore_jobs.describe`. Preserved to ease migration from the legacy Pinecone Python SDK. New code should use ``await pc.restore_jobs.describe(...)`` instead of ``await pc.describe_restore_job(...)``. See :meth:`AsyncPinecone.restore_jobs.describe` for important caveats about what :exc:`NotFoundError` from this call does and does not mean. Args: job_id (str): The identifier of the restore job to describe. Returns: A :class:`RestoreJobModel` with full restore job details. Raises: :exc:`PineconeValueError`: If *job_id* is empty. :exc:`NotFoundError`: If the API answers with a not-found response for this job. :exc:`ApiError`: If the API returns another error response. :meta private: """ return await self.restore_jobs.describe(job_id=job_id) def IndexAsyncio(self, host: str, **kwargs: Any) -> AsyncIndex: # noqa: N802 """Backwards-compatibility shim for :meth:`AsyncPinecone.index`. Preserved to ease migration from the legacy Pinecone Python SDK. New code should use ``pc.index(host=...)`` (where ``pc`` is an :class:`AsyncPinecone` instance) instead of ``pc.IndexAsyncio(...)``. Unlike :meth:`AsyncPinecone.index`, this is a plain (non-``async def``) method that only accepts a host, not a name — it builds the client directly, without a describe call. Args: host (str): Direct host URL of the index. **kwargs: Unused; accepted for signature compatibility with the legacy SDK. Returns: An :class:`AsyncIndex` data-plane client, configured with this client's API key, timeout, proxy, and TLS settings. Examples: >>> from pinecone import AsyncPinecone >>> pc = AsyncPinecone(api_key="your-api-key") >>> idx = pc.IndexAsyncio(host="my-index-abc123.svc.pinecone.io") # doctest: +SKIP :meta private: """ from pinecone.async_client.async_index import AsyncIndex as _AsyncIndex return _AsyncIndex( host=host, api_key=self._config.api_key, additional_headers=dict(self._config.additional_headers), timeout=self._config.timeout, proxy_url=self._config.proxy_url, proxy_headers=dict(self._config.proxy_headers), ssl_ca_certs=self._config.ssl_ca_certs, ssl_verify=self._config.ssl_verify, source_tag=self._config.source_tag, connection_pool_maxsize=self._config.connection_pool_maxsize, _limiter_registry=self._limiter_registry, ) def _build_index_kwargs(self, host: str) -> IndexKwargs: """Return the kwargs dict for constructing an AsyncIndex.""" return IndexKwargs( host=host, api_key=self._config.api_key, additional_headers=dict(self._config.additional_headers), timeout=self._config.timeout, proxy_url=self._config.proxy_url, proxy_headers=dict(self._config.proxy_headers), ssl_ca_certs=self._config.ssl_ca_certs, ssl_verify=self._config.ssl_verify, source_tag=self._config.source_tag, connection_pool_maxsize=self._config.connection_pool_maxsize, ) async def _resolve_index_host(self, *, name: str, host: str) -> str: """Resolve the data plane host from explicit host, cache, or describe call. Async parallel of ``Pinecone._resolve_index_host``. Performs a non-blocking describe-index lookup when *name* is given and the host is not yet cached. Args: name: Index name (triggers describe if not cached). host: Direct host URL (returned as-is if provided). Returns: The resolved host string. Raises: ValidationError: If neither *name* nor *host* is provided. """ if host: return host if name: cached_host = self._host_cache.get(name) if cached_host: return cached_host desc = await self.indexes.describe(name) if desc.host is None: raise ValidationError( f"Index {name!r} does not yet have a host assigned — " "the index may still be initializing. " "Wait until the index status is 'Ready' before connecting." ) self._host_cache[name] = desc.host return desc.host raise ValidationError("Either name or host must be provided to create an Index client.")
[docs] async def index( self, name: str = "", *, host: str = "", ) -> AsyncIndex: """Create an async data-plane client targeting a specific index. Can target by host URL directly (skips the describe call) or by index name (triggers an async describe-index lookup to resolve the host on cache miss). .. seealso:: Use ``pc.indexes`` for control-plane operations (create, list, describe, delete, configure). Args: name (str): Name of the index. Triggers an async describe call to resolve host on cache miss. host (str): Direct host URL of the index. Skips the describe call. Returns: An async :class:`AsyncIndex` data-plane client. Raises: :exc:`PineconeValueError`: If neither *name* nor *host* is provided. :exc:`~pinecone.errors.NotFoundError`: If *name* is given but no such index exists. Examples: .. code-block:: python async with AsyncPinecone(api_key="...") as pc: idx = await pc.index(host="my-index-abc123.svc.pinecone.io") # or idx = await pc.index(name="my-index") # triggers describe on cache miss .. warning:: The returned :class:`AsyncIndex` manages its own HTTP client. Always use ``async with index:`` or call ``await index.close()`` when done — closing the parent ``AsyncPinecone`` does not close index clients. """ from pinecone.async_client.async_index import AsyncIndex as _AsyncIndex resolved_host = await self._resolve_index_host(name=name, host=host) return _AsyncIndex( **self._build_index_kwargs(resolved_host), _limiter_registry=self._limiter_registry, )
[docs] async def close(self) -> None: """Close all open HTTP connections. Closes the main control-plane client and any namespace clients (inference, assistants) that were initialized during this session. Prefer the async context manager form (``async with AsyncPinecone(...) as pc:``) which calls :meth:`close` automatically on exit. Examples: Close the client explicitly after use: >>> import asyncio >>> from pinecone import AsyncPinecone >>> async def example(): ... client = AsyncPinecone(api_key="your-api-key") ... await client.close() >>> asyncio.run(example()) Use AsyncPinecone as a context manager (``close`` is called automatically): >>> async def example(): ... async with AsyncPinecone(api_key="your-api-key") as pc: ... _ = await pc.indexes.list().to_list() >>> asyncio.run(example()) """ await self._http.close() if self._assistants is not None: await self._assistants.close() if self._inference is not None: await self._inference.close()
[docs] async def __aenter__(self) -> AsyncPinecone: """Enter the async context manager, returning this client. Returns: This :class:`AsyncPinecone` instance. Examples: >>> import asyncio >>> async def example(): ... async with AsyncPinecone(api_key="your-api-key") as pc: ... _ = await pc.indexes.list().to_list() >>> asyncio.run(example()) # doctest: +SKIP """ return self
[docs] async def __aexit__(self, *args: Any) -> None: """Exit the async context manager, closing the client. Calls :meth:`close` to release open HTTP connections. Examples: >>> import asyncio >>> async def example(): ... async with AsyncPinecone(api_key="your-api-key") as pc: ... _ = await pc.indexes.list().to_list() >>> asyncio.run(example()) # doctest: +SKIP """ await self.close()