获取消息批处理结果
get /v1/messages/batches/{message_batch_id}/results
以 .jsonl 文件形式流式传输消息批处理的结果。
文件中的每一行都是一个 JSON 对象,包含消息批处理中单个请求的结果。结果不保证与请求顺序相同。使用 custom_id 字段将结果与请求进行匹配。
在我们的用户指南中了解更多关于消息批处理 API 的信息
路径参数
-
message_batch_id: string消息批处理的 ID。
请求头参数
-
"anthropic-beta": optional array of AnthropicBeta可选的请求头,用于指定您要使用的 beta 版本。
-
string -
"message-batches-2024-09-24" or "prompt-caching-2024-07-31" or "computer-use-2024-10-22" or 22 more-
"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" -
"advisor-tool-2026-03-01" -
"managed-agents-2026-04-01" -
"cache-diagnosis-2026-04-07"
-
-
返回
-
BetaMessageBatchIndividualResponse object { custom_id, result }这是响应
.jsonl文件中的单行,并不代表整个响应。-
custom_id: string开发人员为消息批处理中每个请求创建的 ID。用于将结果与请求进行匹配,因为结果可能不按请求顺序返回。
在消息批处理中,每个请求的此值必须唯一。
-
result: BetaMessageBatchResult此请求的处理结果。
如果处理成功则包含消息输出,如果处理失败则包含错误响应,或者包含未尝试处理的原因(如取消或过期)。
-
BetaMessageBatchSucceededResult object { message, type }-
message: BetaMessage-
id: string唯一对象标识符。
ID 的格式和长度可能会随时间变化。
-
container: BetaContainer关于请求中使用的容器的信息(用于代码执行工具)
-
id: string此请求中使用的容器的标识符
-
expires_at: string容器将过期的时间。
-
skills: array of BetaSkill容器中加载的技能
-
skill_id: string技能 ID
-
type: "anthropic" or "custom"技能类型 - 'anthropic'(内置)或 'custom'(用户自定义)
-
"anthropic" -
"custom"
-
-
version: string技能版本或 'latest' 表示最新版本
-
-
-
content: array of BetaContentBlock模型生成的内容。
这是一个内容块数组,每个块都有一个决定其形状的
type。Example:
[{"type": "text", "text": "Hi, I'm Claude."}]如果请求输入的
messages以assistant轮次结束,则响应content将直接从该最后一轮继续。您可以使用此功能来约束模型的输出。例如,如果输入
messages为:[ {"role": "user", "content": "What's the Greek name for Sun? (A) Sol (B) Helios (C) Sun"}, {"role": "assistant", "content": "The best answer is ("} ]则响应
content可能为:[{"type": "text", "text": "B)"}]-
BetaTextBlock object { citations, text, type }-
citations: array of BetaTextCitation支持文本块的引用。
返回的引用类型取决于被引用文档的类型。引用 PDF 会返回
page_location,纯文本返回char_location,内容文档返回content_block_location。-
BetaCitationCharLocation object { cited_text, document_index, document_title, 4 more }-
cited_text: string -
document_index: number -
document_title: string -
end_char_index: number -
file_id: string -
start_char_index: number -
type: "char_location""char_location"
-
-
BetaCitationPageLocation object { cited_text, document_index, document_title, 4 more }-
cited_text: string -
document_index: number -
document_title: string -
end_page_number: number -
file_id: string -
start_page_number: number -
type: "page_location""page_location"
-
-
BetaCitationContentBlockLocation object { cited_text, document_index, document_title, 4 more }-
cited_text: string引用块范围的完整文本,已连接。
始终等于
content[start_block_index:end_block_index]连接在一起的内容。文本块是最小可引用单元;此字段永远不会是单个块的子字符串。不计入输出 token,也不计入在后续轮次中发回时的输入 token。 -
document_index: number -
document_title: string -
end_block_index: number源
content数组中引用块范围的排他性从 0 开始的结束索引。始终大于
start_block_index;单块引用的end_block_index = start_block_index + 1。 -
file_id: string -
start_block_index: number源
content数组中第一个引用块的从 0 开始的索引。 -
type: "content_block_location""content_block_location"
-
-
BetaCitationsWebSearchResultLocation object { cited_text, encrypted_index, title, 2 more }-
cited_text: string -
encrypted_index: string -
title: string -
type: "web_search_result_location""web_search_result_location"
-
url: string
-
-
BetaCitationSearchResultLocation object { cited_text, end_block_index, search_result_index, 4 more }-
cited_text: string引用块范围的完整文本,已连接。
始终等于
content[start_block_index:end_block_index]连接在一起的内容。文本块是最小可引用单元;此字段永远不会是单个块的子字符串。不计入输出 token,也不计入在后续轮次中发回时的输入 token。 -
end_block_index: number源
content数组中引用块范围的排他性从 0 开始的结束索引。始终大于
start_block_index;单块引用的end_block_index = start_block_index + 1。 -
search_result_index: number在请求中所有
search_result内容块中,被引用搜索结果的从 0 开始的索引,按它们在消息和工具结果中出现的顺序排列。与
document_index分开计数;服务器端 Web 搜索结果不包含在此计数中。 -
source: string -
start_block_index: number源
content数组中第一个引用块的从 0 开始的索引。 -
title: string -
type: "search_result_location""search_result_location"
-
-
-
text: string -
type: "text""text"
-
-
BetaThinkingBlock object { signature, thinking, type }-
signature: string -
thinking: string -
type: "thinking""thinking"
-
-
BetaRedactedThinkingBlock object { data, type }-
data: string -
type: "redacted_thinking""redacted_thinking"
-
-
BetaToolUseBlock object { id, input, name, 2 more }-
id: string -
input: map[unknown] -
name: string -
type: "tool_use""tool_use"
-
caller: optional BetaDirectCaller or BetaServerToolCaller or BetaServerToolCaller20260120模型直接发起的工具调用。
-
BetaDirectCaller object { type }模型直接发起的工具调用。
-
type: "direct""direct"
-
-
BetaServerToolCaller object { tool_id, type }服务器端工具生成的工具调用。
-
tool_id: string -
type: "code_execution_20250825""code_execution_20250825"
-
-
BetaServerToolCaller20260120 object { tool_id, type }-
tool_id: string -
type: "code_execution_20260120""code_execution_20260120"
-
-
-
-
BetaServerToolUseBlock object { id, input, name, 2 more }-
id: string -
input: map[unknown] -
name: "advisor" or "web_search" or "web_fetch" or 5 more-
"advisor" -
"web_search" -
"web_fetch" -
"code_execution" -
"bash_code_execution" -
"text_editor_code_execution" -
"tool_search_tool_regex" -
"tool_search_tool_bm25"
-
-
type: "server_tool_use""server_tool_use"
-
caller: optional BetaDirectCaller or BetaServerToolCaller or BetaServerToolCaller20260120模型直接发起的工具调用。
-
BetaDirectCaller object { type }模型直接发起的工具调用。
-
BetaServerToolCaller object { tool_id, type }服务器端工具生成的工具调用。
-
BetaServerToolCaller20260120 object { tool_id, type }
-
-
-
BetaWebSearchToolResultBlock object { content, tool_use_id, type, caller }-
content: BetaWebSearchToolResultBlockContent-
BetaWebSearchToolResultError object { error_code, type }-
error_code: BetaWebSearchToolResultErrorCode-
"invalid_tool_input" -
"unavailable" -
"max_uses_exceeded" -
"too_many_requests" -
"query_too_long" -
"request_too_large"
-
-
type: "web_search_tool_result_error""web_search_tool_result_error"
-
-
array of BetaWebSearchResultBlock-
encrypted_content: string -
page_age: string -
title: string -
type: "web_search_result""web_search_result"
-
url: string
-
-
-
tool_use_id: string -
type: "web_search_tool_result""web_search_tool_result"
-
caller: optional BetaDirectCaller or BetaServerToolCaller or BetaServerToolCaller20260120模型直接发起的工具调用。
-
BetaDirectCaller object { type }模型直接发起的工具调用。
-
BetaServerToolCaller object { tool_id, type }服务器端工具生成的工具调用。
-
BetaServerToolCaller20260120 object { tool_id, type }
-
-
-
BetaWebFetchToolResultBlock object { content, tool_use_id, type, caller }-
content: BetaWebFetchToolResultErrorBlock or BetaWebFetchBlock-
BetaWebFetchToolResultErrorBlock object { error_code, type }-
error_code: BetaWebFetchToolResultErrorCode-
"invalid_tool_input" -
"url_too_long" -
"url_not_allowed" -
"url_not_accessible" -
"unsupported_content_type" -
"too_many_requests" -
"max_uses_exceeded" -
"unavailable"
-
-
type: "web_fetch_tool_result_error""web_fetch_tool_result_error"
-
-
BetaWebFetchBlock object { content, retrieved_at, type, url }-
content: BetaDocumentBlock-
citations: BetaCitationConfigCitation configuration for the document
enabled: boolean
-
source: BetaBase64PDFSource or BetaPlainTextSource-
BetaBase64PDFSource object { data, media_type, type }-
data: string -
media_type: "application/pdf""application/pdf"
-
type: "base64""base64"
-
-
BetaPlainTextSource object { data, media_type, type }-
data: string -
media_type: "text/plain""text/plain"
-
type: "text""text"
-
-
-
title: string文档的标题
-
type: "document""document"
-
-
retrieved_at: stringISO 8601 timestamp when the content was retrieved
-
type: "web_fetch_result""web_fetch_result"
-
url: stringFetched content URL
-
-
-
tool_use_id: string -
type: "web_fetch_tool_result""web_fetch_tool_result"
-
caller: optional BetaDirectCaller or BetaServerToolCaller or BetaServerToolCaller20260120模型直接发起的工具调用。
-
BetaDirectCaller object { type }模型直接发起的工具调用。
-
BetaServerToolCaller object { tool_id, type }服务器端工具生成的工具调用。
-
BetaServerToolCaller20260120 object { tool_id, type }
-
-
-
BetaAdvisorToolResultBlock object { content, tool_use_id, type }-
content: BetaAdvisorToolResultError or BetaAdvisorResultBlock or BetaAdvisorRedactedResultBlock-
BetaAdvisorToolResultError object { error_code, type }-
error_code: "max_uses_exceeded" or "prompt_too_long" or "too_many_requests" or 3 more-
"max_uses_exceeded" -
"prompt_too_long" -
"too_many_requests" -
"overloaded" -
"unavailable" -
"execution_time_exceeded"
-
-
type: "advisor_tool_result_error""advisor_tool_result_error"
-
-
BetaAdvisorResultBlock object { text, type }-
text: string -
type: "advisor_result""advisor_result"
-
-
BetaAdvisorRedactedResultBlock object { encrypted_content, type }-
encrypted_content: stringOpaque blob containing the advisor's output. Round-trip verbatim; do not inspect or modify.
-
type: "advisor_redacted_result""advisor_redacted_result"
-
-
-
tool_use_id: string -
type: "advisor_tool_result""advisor_tool_result"
-
-
BetaCodeExecutionToolResultBlock object { content, tool_use_id, type }-
content: BetaCodeExecutionToolResultBlockContent代码执行结果,包含用于 PFC + web_search 结果的加密标准输出。
-
BetaCodeExecutionToolResultError object { error_code, type }-
error_code: BetaCodeExecutionToolResultErrorCode-
"invalid_tool_input" -
"unavailable" -
"too_many_requests" -
"execution_time_exceeded"
-
-
type: "code_execution_tool_result_error""code_execution_tool_result_error"
-
-
BetaCodeExecutionResultBlock object { content, return_code, stderr, 2 more }-
content: array of BetaCodeExecutionOutputBlock-
file_id: string -
type: "code_execution_output""code_execution_output"
-
-
return_code: number -
stderr: string -
stdout: string -
type: "code_execution_result""code_execution_result"
-
-
BetaEncryptedCodeExecutionResultBlock object { content, encrypted_stdout, return_code, 2 more }代码执行结果,包含用于 PFC + web_search 结果的加密标准输出。
-
content: array of BetaCodeExecutionOutputBlock-
file_id: string -
type: "code_execution_output"
-
-
encrypted_stdout: string -
return_code: number -
stderr: string -
type: "encrypted_code_execution_result""encrypted_code_execution_result"
-
-
-
tool_use_id: string -
type: "code_execution_tool_result""code_execution_tool_result"
-
-
BetaBashCodeExecutionToolResultBlock object { content, tool_use_id, type }-
content: BetaBashCodeExecutionToolResultError or BetaBashCodeExecutionResultBlock-
BetaBashCodeExecutionToolResultError object { error_code, type }-
error_code: "invalid_tool_input" or "unavailable" or "too_many_requests" or 2 more-
"invalid_tool_input" -
"unavailable" -
"too_many_requests" -
"execution_time_exceeded" -
"output_file_too_large"
-
-
type: "bash_code_execution_tool_result_error""bash_code_execution_tool_result_error"
-
-
BetaBashCodeExecutionResultBlock object { content, return_code, stderr, 2 more }-
content: array of BetaBashCodeExecutionOutputBlock-
file_id: string -
type: "bash_code_execution_output""bash_code_execution_output"
-
-
return_code: number -
stderr: string -
stdout: string -
type: "bash_code_execution_result""bash_code_execution_result"
-
-
-
tool_use_id: string -
type: "bash_code_execution_tool_result""bash_code_execution_tool_result"
-
-
BetaTextEditorCodeExecutionToolResultBlock object { content, tool_use_id, type }-
content: BetaTextEditorCodeExecutionToolResultError or BetaTextEditorCodeExecutionViewResultBlock or BetaTextEditorCodeExecutionCreateResultBlock or BetaTextEditorCodeExecutionStrReplaceResultBlock-
BetaTextEditorCodeExecutionToolResultError object { error_code, error_message, type }-
error_code: "invalid_tool_input" or "unavailable" or "too_many_requests" or 2 more-
"invalid_tool_input" -
"unavailable" -
"too_many_requests" -
"execution_time_exceeded" -
"file_not_found"
-
-
error_message: string -
type: "text_editor_code_execution_tool_result_error""text_editor_code_execution_tool_result_error"
-
-
BetaTextEditorCodeExecutionViewResultBlock object { content, file_type, num_lines, 3 more }-
content: string -
file_type: "text" or "image" or "pdf"-
"text" -
"image" -
"pdf"
-
-
num_lines: number -
start_line: number -
total_lines: number -
type: "text_editor_code_execution_view_result""text_editor_code_execution_view_result"
-
-
BetaTextEditorCodeExecutionCreateResultBlock object { is_file_update, type }-
is_file_update: boolean -
type: "text_editor_code_execution_create_result""text_editor_code_execution_create_result"
-
-
BetaTextEditorCodeExecutionStrReplaceResultBlock object { lines, new_lines, new_start, 3 more }-
lines: array of string -
new_lines: number -
new_start: number -
old_lines: number -
old_start: number -
type: "text_editor_code_execution_str_replace_result""text_editor_code_execution_str_replace_result"
-
-
-
tool_use_id: string -
type: "text_editor_code_execution_tool_result""text_editor_code_execution_tool_result"
-
-
BetaToolSearchToolResultBlock object { content, tool_use_id, type }-
content: BetaToolSearchToolResultError or BetaToolSearchToolSearchResultBlock-
BetaToolSearchToolResultError object { error_code, error_message, type }-
error_code: "invalid_tool_input" or "unavailable" or "too_many_requests" or "execution_time_exceeded"-
"invalid_tool_input" -
"unavailable" -
"too_many_requests" -
"execution_time_exceeded"
-
-
error_message: string -
type: "tool_search_tool_result_error""tool_search_tool_result_error"
-
-
BetaToolSearchToolSearchResultBlock object { tool_references, type }-
tool_references: array of BetaToolReferenceBlock-
tool_name: string -
type: "tool_reference""tool_reference"
-
-
type: "tool_search_tool_search_result""tool_search_tool_search_result"
-
-
-
tool_use_id: string -
type: "tool_search_tool_result""tool_search_tool_result"
-
-
BetaMCPToolUseBlock object { id, input, name, 2 more }-
id: string -
input: map[unknown] -
name: stringMCP 工具的名称
-
server_name: stringMCP 服务器的名称
-
type: "mcp_tool_use""mcp_tool_use"
-
-
BetaMCPToolResultBlock object { content, is_error, tool_use_id, type }-
content: string or array of BetaTextBlock-
string -
BetaMCPToolResultBlockContent = array of BetaTextBlock-
citations: array of BetaTextCitation支持文本块的引用。
返回的引用类型取决于被引用文档的类型。引用 PDF 会返回
page_location,纯文本返回char_location,内容文档返回content_block_location。 -
text: string -
type: "text"
-
-
-
is_error: boolean -
tool_use_id: string -
type: "mcp_tool_result""mcp_tool_result"
-
-
BetaContainerUploadBlock object { file_id, type }Response model for a file uploaded to the container.
-
file_id: string -
type: "container_upload""container_upload"
-
-
BetaCompactionBlock object { content, encrypted_content, type }A compaction block returned when autocompact is triggered.
When content is None, it indicates the compaction failed to produce a valid summary (e.g., malformed output from the model). Clients may round-trip compaction blocks with null content; the server treats them as no-ops.
-
content: stringSummary of compacted content, or null if compaction failed
-
encrypted_content: stringOpaque metadata from prior compaction, to be round-tripped verbatim
-
type: "compaction""compaction"
-
-
-
context_management: BetaContextManagementResponseContext management response.
Information about context management strategies applied during the request.
-
applied_edits: array of BetaClearToolUses20250919EditResponse or BetaClearThinking20251015EditResponseList of context management edits that were applied.
-
BetaClearToolUses20250919EditResponse object { cleared_input_tokens, cleared_tool_uses, type }-
cleared_input_tokens: numberNumber of input tokens cleared by this edit.
-
cleared_tool_uses: numberNumber of tool uses that were cleared.
-
type: "clear_tool_uses_20250919"应用的上下文管理编辑类型。
"clear_tool_uses_20250919"
-
-
BetaClearThinking20251015EditResponse object { cleared_input_tokens, cleared_thinking_turns, type }-
cleared_input_tokens: numberNumber of input tokens cleared by this edit.
-
cleared_thinking_turns: numberNumber of thinking turns that were cleared.
-
type: "clear_thinking_20251015"应用的上下文管理编辑类型。
"clear_thinking_20251015"
-
-
-
-
diagnostics: BetaDiagnosticsResponse envelope for request-level diagnostics. Present (possibly null) whenever the caller supplied
diagnosticson the request.-
cache_miss_reason: BetaCacheMissModelChanged or BetaCacheMissSystemChanged or BetaCacheMissToolsChanged or 3 moreExplains why the prompt cache could not fully reuse the prefix from the request identified by
diagnostics.previous_message_id.nullmeans diagnosis is still pending — the response was serialized before the background comparison completed.-
BetaCacheMissModelChanged object { cache_missed_input_tokens, type }-
cache_missed_input_tokens: numberApproximate number of input tokens that would have been read from cache had the prefix matched the previous request.
-
type: "model_changed""model_changed"
-
-
BetaCacheMissSystemChanged object { cache_missed_input_tokens, type }-
cache_missed_input_tokens: numberApproximate number of input tokens that would have been read from cache had the prefix matched the previous request.
-
type: "system_changed""system_changed"
-
-
BetaCacheMissToolsChanged object { cache_missed_input_tokens, type }-
cache_missed_input_tokens: numberApproximate number of input tokens that would have been read from cache had the prefix matched the previous request.
-
type: "tools_changed""tools_changed"
-
-
BetaCacheMissMessagesChanged object { cache_missed_input_tokens, type }-
cache_missed_input_tokens: numberApproximate number of input tokens that would have been read from cache had the prefix matched the previous request.
-
type: "messages_changed""messages_changed"
-
-
BetaCacheMissPreviousMessageNotFound object { type }-
type: "previous_message_not_found""previous_message_not_found"
-
-
BetaCacheMissUnavailable object { type }-
type: "unavailable""unavailable"
-
-
-
-
model: Model将完成您的提示的模型。
See models for additional details and options.
-
"claude-opus-4-7" or "claude-mythos-preview" or "claude-opus-4-6" or 14 more将完成您的提示的模型。
See models for additional details and options.
-
"claude-opus-4-7"Frontier intelligence for long-running agents and coding
-
"claude-mythos-preview"New class of intelligence, strongest in coding and cybersecurity
-
"claude-opus-4-6"Frontier intelligence for long-running agents and coding
-
"claude-sonnet-4-6"Best combination of speed and intelligence
-
"claude-haiku-4-5"Fastest model with near-frontier intelligence
-
"claude-haiku-4-5-20251001"Fastest model with near-frontier intelligence
-
"claude-opus-4-5"Premium model combining maximum intelligence with practical performance
-
"claude-opus-4-5-20251101"Premium model combining maximum intelligence with practical performance
-
"claude-sonnet-4-5"High-performance model for agents and coding
-
"claude-sonnet-4-5-20250929"High-performance model for agents and coding
-
"claude-opus-4-1"Exceptional model for specialized complex tasks
-
"claude-opus-4-1-20250805"Exceptional model for specialized complex tasks
-
"claude-opus-4-0"Powerful model for complex tasks
-
"claude-opus-4-20250514"Powerful model for complex tasks
-
"claude-sonnet-4-0"High-performance model with extended thinking
-
"claude-sonnet-4-20250514"High-performance model with extended thinking
-
"claude-3-haiku-20240307"Fast and cost-effective model
-
-
string
-
-
role: "assistant"Conversational role of the generated message.
This will always be
"assistant"."assistant"
-
stop_details: BetaRefusalStopDetailsStructured information about a refusal.
-
category: "cyber" or "bio"触发拒绝的策略类别。
nullwhen the refusal doesn't map to a named category.-
"cyber" -
"bio"
-
-
explanation: stringHuman-readable explanation of the refusal.
This text is not guaranteed to be stable.
nullwhen no explanation is available for the category. -
type: "refusal""refusal"
-
-
stop_reason: BetaStopReason我们停止的原因。
可以是以下值之一:
"end_turn": the model reached a natural stopping point"max_tokens": we exceeded the requestedmax_tokensor the model's maximum"stop_sequence": one of your provided customstop_sequenceswas generated"tool_use": the model invoked one or more tools"pause_turn": we paused a long-running turn. You may provide the response back as-is in a subsequent request to let the model continue."refusal": when streaming classifiers intervene to handle potential policy violations
In non-streaming mode this value is always non-null. In streaming mode, it is null in the
message_startevent and non-null otherwise.-
"end_turn" -
"max_tokens" -
"stop_sequence" -
"tool_use" -
"pause_turn" -
"compaction" -
"refusal" -
"model_context_window_exceeded"
-
stop_sequence: stringWhich custom stop sequence was generated, if any.
This value will be a non-null string if one of your custom stop sequences was generated.
-
type: "message"对象类型。
For Messages, this is always
"message"."message"
-
usage: BetaUsageBilling and rate-limit usage.
Anthropic's API bills and rate-limits by token counts, as tokens represent the underlying cost to our systems.
Under the hood, the API transforms requests into a format suitable for the model. The model's output then goes through a parsing stage before becoming an API response. As a result, the token counts in
usagewill not match one-to-one with the exact visible content of an API request or response.For example,
output_tokenswill be non-zero, even for an empty string response from Claude.Total input tokens in a request is the summation of
input_tokens,cache_creation_input_tokens, andcache_read_input_tokens.-
cache_creation: BetaCacheCreationBreakdown of cached tokens by TTL
-
ephemeral_1h_input_tokens: number用于创建 1 小时缓存条目的输入 token 数。
-
ephemeral_5m_input_tokens: number用于创建 5 分钟缓存条目的输入 token 数。
-
-
cache_creation_input_tokens: number用于创建缓存条目的输入 token 数。
-
cache_read_input_tokens: number从缓存读取的输入 token 数。
-
inference_geo: string此请求执行推理的地理区域。
-
input_tokens: number已使用的输入 token 数。
-
iterations: BetaIterationsUsagePer-iteration token usage breakdown.
Each entry represents one sampling iteration, with its own input/output token counts and cache statistics. This allows you to:
-
Determine which iterations exceeded long context thresholds (>=200k tokens)
-
Calculate the true context window size from the last iteration
-
Understand token accumulation across server-side tool use loops
-
BetaMessageIterationUsage object { cache_creation, cache_creation_input_tokens, cache_read_input_tokens, 3 more }Token usage for a sampling iteration.
-
cache_creation: BetaCacheCreationBreakdown of cached tokens by TTL
-
cache_creation_input_tokens: number用于创建缓存条目的输入 token 数。
-
cache_read_input_tokens: number从缓存读取的输入 token 数。
-
input_tokens: number已使用的输入 token 数。
-
output_tokens: number已使用的输出 token 数。
-
type: "message"Usage for a sampling iteration
"message"
-
-
BetaCompactionIterationUsage object { cache_creation, cache_creation_input_tokens, cache_read_input_tokens, 3 more }Token usage for a compaction iteration.
-
cache_creation: BetaCacheCreationBreakdown of cached tokens by TTL
-
cache_creation_input_tokens: number用于创建缓存条目的输入 token 数。
-
cache_read_input_tokens: number从缓存读取的输入 token 数。
-
input_tokens: number已使用的输入 token 数。
-
output_tokens: number已使用的输出 token 数。
-
type: "compaction"Usage for a compaction iteration
"compaction"
-
-
BetaAdvisorMessageIterationUsage object { cache_creation, cache_creation_input_tokens, cache_read_input_tokens, 4 more }Token usage for an advisor sub-inference iteration.
-
cache_creation: BetaCacheCreationBreakdown of cached tokens by TTL
-
cache_creation_input_tokens: number用于创建缓存条目的输入 token 数。
-
cache_read_input_tokens: number从缓存读取的输入 token 数。
-
input_tokens: number已使用的输入 token 数。
-
model: Model将完成您的提示的模型。
See models for additional details and options.
-
output_tokens: number已使用的输出 token 数。
-
type: "advisor_message"Usage for an advisor sub-inference iteration
"advisor_message"
-
-
-
output_tokens: number已使用的输出 token 数。
-
server_tool_use: BetaServerToolUsage服务器工具请求数。
-
web_fetch_requests: number网络获取工具请求数。
-
web_search_requests: number网络搜索工具请求数。
-
-
service_tier: "standard" or "priority" or "batch"If the request used the priority, standard, or batch tier.
-
"standard" -
"priority" -
"batch"
-
-
speed: "standard" or "fast"此请求使用的推理速度模式。
-
"standard" -
"fast"
-
-
-
-
type: "succeeded""succeeded"
-
-
BetaMessageBatchErroredResult object { error, type }-
error: BetaErrorResponse-
error: BetaError-
BetaInvalidRequestError object { message, type }-
message: string -
type: "invalid_request_error""invalid_request_error"
-
-
BetaAuthenticationError object { message, type }-
message: string -
type: "authentication_error""authentication_error"
-
-
BetaBillingError object { message, type }-
message: string -
type: "billing_error""billing_error"
-
-
BetaPermissionError object { message, type }-
message: string -
type: "permission_error""permission_error"
-
-
BetaNotFoundError object { message, type }-
message: string -
type: "not_found_error""not_found_error"
-
-
BetaRateLimitError object { message, type }-
message: string -
type: "rate_limit_error""rate_limit_error"
-
-
BetaGatewayTimeoutError object { message, type }-
message: string -
type: "timeout_error""timeout_error"
-
-
BetaAPIError object { message, type }-
message: string -
type: "api_error""api_error"
-
-
BetaOverloadedError object { message, type }-
message: string -
type: "overloaded_error""overloaded_error"
-
-
-
request_id: string -
type: "error""error"
-
-
type: "errored""errored"
-
-
BetaMessageBatchCanceledResult object { type }-
type: "canceled""canceled"
-
-
BetaMessageBatchExpiredResult object { type }-
type: "expired""expired"
-
-
-
示例
curl https://api.anthropic.com/v1/messages/batches/$MESSAGE_BATCH_ID/results \
-H 'anthropic-version: 2023-06-01' \
-H 'anthropic-beta: message-batches-2024-09-24' \
-H "X-Api-Key: $ANTHROPIC_API_KEY"