Claude Platform Docs

Recuperar resultados de un lote de mensajes

beta.messages.batches.results(message_batch_id, **kwargs) -> BetaMessageBatchIndividualResponse
GET/v1/messages/batches/{message_batch_id}/results

Devuelve en streaming los resultados de un lote de mensajes como un archivo .jsonl.

Cada línea del archivo es un objeto JSON que contiene el resultado de una única solicitud del lote de mensajes. No se garantiza que los resultados estén en el mismo orden que las solicitudes. Usa el campo custom_id para hacer coincidir los resultados con las solicitudes.

Obtén más información sobre la API de Message Batches en nuestra guía de usuario

Parameters
message_batch_id: str⁠Path parameter

ID of the Message Batch.

betas: Optional[List[AnthropicBetaParam]]⁠Header parameter

Optional header to specify the beta version(s) you want to use.

One of the following:
str
"message-batches-2024-09-24"
"prompt-caching-2024-07-31"
"computer-use-2024-10-22"
"computer-use-2025-01-24"
"pdfs-2024-09-25"
"token-counting-2024-11-01"
"token-efficient-tools-2025-02-19"
"output-128k-2025-02-19"
"files-api-2025-04-14"
"mcp-client-2025-04-04"
"mcp-client-2025-11-20"
"dev-full-thinking-2025-05-14"
"interleaved-thinking-2025-05-14"
"code-execution-2025-05-22"
"extended-cache-ttl-2025-04-11"
"context-1m-2025-08-07"
"context-management-2025-06-27"
"model-context-window-exceeded-2025-08-26"
"skills-2025-10-02"
"fast-mode-2026-02-01"
"output-300k-2026-03-24"
"user-profiles-2026-03-24"
"user-profiles-2026-08-18"
"user-profiles-2026-09-04"
"advisor-tool-2026-03-01"
"managed-agents-2026-04-01"
"cache-diagnosis-2026-04-07"
"dreaming-2026-04-21"
"thinking-token-count-2026-05-13"
"server-side-fallback-2026-06-01"
"server-side-fallback-2026-07-01"
"fallback-credit-2026-06-01"
"fallback-credit-2026-07-01"
"agent-memory-2026-07-22"
"mid-conversation-tool-changes-2026-07-01"
"compact-2026-01-12"
"computer-use-2025-11-24"
"mcp-tunnels-2026-06-22"
"structured-outputs-2025-11-13"
"task-budgets-2026-03-13"
"thinking-display-updates-2026-08-18"
"ce-user-management-2026-07-13"
"mid-conversation-output-config-2026-07-01"
"thinking-binding-controls-2026-08-01"
"mid-conversation-system-clear-at-2026-08-21"
"compact-2026-09-04"
"inline-tools-2026-09-15"
"mcp-client-2026-09-15"
"ce-plugins-2026-09-01"
"spend-limit-reads-2026-09-26"
workspace_id: Optional[str]⁠Header parameter

Optional header to select the Workspace for this request. The value is a Workspace ID (for example, wrkspc_011CZkZaBF1tNoB5wlCeusgy).

Only needed for credentials that can act on more than one Workspace. A credential that belongs to a specific Workspace may omit it; if sent, it must match that Workspace.

Returns
class BetaMessageBatchIndividualResponse: custom_id; result

This is a single line in the response .jsonl file and does not represent the response as a whole.

custom_id: str

Developer-provided ID created for each request in a Message Batch. Useful for matching results to requests, as results may be given out of request order.

Must be unique for each request within the Message Batch.

Processing result for this request.

Contains a Message output if processing was successful, an error response if processing failed, or the reason why processing was not attempted, such as cancellation or expiration.

One of the following:
Recuperar resultados de un lote de mensajes
import os
from anthropic import Anthropic

client = Anthropic(
    api_key=os.environ.get(
        "ANTHROPIC_API_KEY"
    ),  # This is the default and can be omitted
)
for batch in client.beta.messages.batches.results(
    message_batch_id="message_batch_id",
):
    print(batch)