# Batches ## Create a Message Batch `beta.messages.batches.create(BatchCreateParams**kwargs) -> BetaMessageBatch` **post** `/v1/messages/batches` Send a batch of Message creation requests. The Message Batches API can be used to process multiple Messages API requests at once. Once a Message Batch is created, it begins processing immediately. Batches can take up to 24 hours to complete. Learn more about the Message Batches API in our [user guide](https://docs.claude.com/en/docs/build-with-claude/batch-processing) ### Parameters - `requests: Iterable[Request]` List of requests for prompt completion. Each is an individual request to create a Message. - `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. - `params: RequestParams` Messages API creation parameters for the individual request. See the [Messages API reference](https://docs.claude.com/en/api/messages) for full documentation on available parameters. - `max_tokens: int` The maximum number of tokens to generate before stopping. Note that our models may stop _before_ reaching this maximum. This parameter only specifies the absolute maximum number of tokens to generate. Set to `0` to populate the [prompt cache](https://docs.claude.com/en/docs/build-with-claude/prompt-caching#pre-warming-the-cache) without generating a response. Different models have different maximum values for this parameter. See [models](https://docs.claude.com/en/docs/models-overview) for details. - `messages: Iterable[BetaMessageParam]` Input messages. Our models are trained to operate on alternating `user` and `assistant` conversational turns. When creating a new `Message`, you specify the prior conversational turns with the `messages` parameter, and the model then generates the next `Message` in the conversation. Consecutive `user` or `assistant` turns in your request will be combined into a single turn. Each input message must be an object with a `role` and `content`. You can specify a single `user`-role message, or you can include multiple `user` and `assistant` messages. If the final message uses the `assistant` role, the response content will continue immediately from the content in that message. This can be used to constrain part of the model's response. Example with a single `user` message: ```json [{"role": "user", "content": "Hello, Claude"}] ``` Example with multiple conversational turns: ```json [ {"role": "user", "content": "Hello there."}, {"role": "assistant", "content": "Hi, I'm Claude. How can I help you?"}, {"role": "user", "content": "Can you explain LLMs in plain English?"}, ] ``` Example with a partially-filled response from Claude: ```json [ {"role": "user", "content": "What's the Greek name for Sun? (A) Sol (B) Helios (C) Sun"}, {"role": "assistant", "content": "The best answer is ("}, ] ``` Each input message `content` may be either a single `string` or an array of content blocks, where each block has a specific `type`. Using a `string` for `content` is shorthand for an array of one content block of type `"text"`. The following input messages are equivalent: ```json {"role": "user", "content": "Hello, Claude"} ``` ```json {"role": "user", "content": [{"type": "text", "text": "Hello, Claude"}]} ``` See [input examples](https://docs.claude.com/en/api/messages-examples). Note that if you want to include a [system prompt](https://docs.claude.com/en/docs/system-prompts), you can use the top-level `system` parameter — there is no `"system"` role for input messages in the Messages API. There is a limit of 100,000 messages in a single request. - `content: Union[str, List[BetaContentBlockParam]]` - `str` - `List[BetaContentBlockParam]` - `class BetaTextBlockParam: …` - `text: str` - `type: Literal["text"]` - `"text"` - `cache_control: Optional[BetaCacheControlEphemeral]` Create a cache control breakpoint at this content block. - `type: Literal["ephemeral"]` - `"ephemeral"` - `ttl: Optional[Literal["5m", "1h"]]` The time-to-live for the cache control breakpoint. This may be one the following values: - `5m`: 5 minutes - `1h`: 1 hour Defaults to `5m`. - `"5m"` - `"1h"` - `citations: Optional[List[BetaTextCitationParam]]` - `class BetaCitationCharLocationParam: …` - `cited_text: str` - `document_index: int` - `document_title: Optional[str]` - `end_char_index: int` - `start_char_index: int` - `type: Literal["char_location"]` - `"char_location"` - `class BetaCitationPageLocationParam: …` - `cited_text: str` - `document_index: int` - `document_title: Optional[str]` - `end_page_number: int` - `start_page_number: int` - `type: Literal["page_location"]` - `"page_location"` - `class BetaCitationContentBlockLocationParam: …` - `cited_text: str` The full text of the cited block range, concatenated. Always equals the contents of `content[start_block_index:end_block_index]` joined together. The text block is the minimal citable unit; this field is never a substring of a single block. Not counted toward output tokens, and not counted toward input tokens when sent back in subsequent turns. - `document_index: int` - `document_title: Optional[str]` - `end_block_index: int` Exclusive 0-based end index of the cited block range in the source's `content` array. Always greater than `start_block_index`; a single-block citation has `end_block_index = start_block_index + 1`. - `start_block_index: int` 0-based index of the first cited block in the source's `content` array. - `type: Literal["content_block_location"]` - `"content_block_location"` - `class BetaCitationWebSearchResultLocationParam: …` - `cited_text: str` - `encrypted_index: str` - `title: Optional[str]` - `type: Literal["web_search_result_location"]` - `"web_search_result_location"` - `url: str` - `class BetaCitationSearchResultLocationParam: …` - `cited_text: str` The full text of the cited block range, concatenated. Always equals the contents of `content[start_block_index:end_block_index]` joined together. The text block is the minimal citable unit; this field is never a substring of a single block. Not counted toward output tokens, and not counted toward input tokens when sent back in subsequent turns. - `end_block_index: int` Exclusive 0-based end index of the cited block range in the source's `content` array. Always greater than `start_block_index`; a single-block citation has `end_block_index = start_block_index + 1`. - `search_result_index: int` 0-based index of the cited search result among all `search_result` content blocks in the request, in the order they appear across messages and tool results. Counted separately from `document_index`; server-side web search results are not included in this count. - `source: str` - `start_block_index: int` 0-based index of the first cited block in the source's `content` array. - `title: Optional[str]` - `type: Literal["search_result_location"]` - `"search_result_location"` - `class BetaImageBlockParam: …` - `source: Source` - `class BetaBase64ImageSource: …` - `data: str` - `media_type: Literal["image/jpeg", "image/png", "image/gif", "image/webp"]` - `"image/jpeg"` - `"image/png"` - `"image/gif"` - `"image/webp"` - `type: Literal["base64"]` - `"base64"` - `class BetaURLImageSource: …` - `type: Literal["url"]` - `"url"` - `url: str` - `class BetaFileImageSource: …` - `file_id: str` - `type: Literal["file"]` - `"file"` - `type: Literal["image"]` - `"image"` - `cache_control: Optional[BetaCacheControlEphemeral]` Create a cache control breakpoint at this content block. - `class BetaRequestDocumentBlock: …` - `source: Source` - `class BetaBase64PDFSource: …` - `data: str` - `media_type: Literal["application/pdf"]` - `"application/pdf"` - `type: Literal["base64"]` - `"base64"` - `class BetaPlainTextSource: …` - `data: str` - `media_type: Literal["text/plain"]` - `"text/plain"` - `type: Literal["text"]` - `"text"` - `class BetaContentBlockSource: …` - `content: Union[str, List[BetaContentBlockSourceContent]]` - `str` - `List[BetaContentBlockSourceContent]` - `class BetaTextBlockParam: …` - `class BetaImageBlockParam: …` - `type: Literal["content"]` - `"content"` - `class BetaURLPDFSource: …` - `type: Literal["url"]` - `"url"` - `url: str` - `class BetaFileDocumentSource: …` - `file_id: str` - `type: Literal["file"]` - `"file"` - `type: Literal["document"]` - `"document"` - `cache_control: Optional[BetaCacheControlEphemeral]` Create a cache control breakpoint at this content block. - `citations: Optional[BetaCitationsConfigParam]` - `enabled: Optional[bool]` - `context: Optional[str]` - `title: Optional[str]` - `class BetaSearchResultBlockParam: …` - `content: List[BetaTextBlockParam]` - `text: str` - `type: Literal["text"]` - `cache_control: Optional[BetaCacheControlEphemeral]` Create a cache control breakpoint at this content block. - `citations: Optional[List[BetaTextCitationParam]]` - `source: str` - `title: str` - `type: Literal["search_result"]` - `"search_result"` - `cache_control: Optional[BetaCacheControlEphemeral]` Create a cache control breakpoint at this content block. - `citations: Optional[BetaCitationsConfigParam]` - `class BetaThinkingBlockParam: …` - `signature: str` - `thinking: str` - `type: Literal["thinking"]` - `"thinking"` - `class BetaRedactedThinkingBlockParam: …` - `data: str` - `type: Literal["redacted_thinking"]` - `"redacted_thinking"` - `class BetaToolUseBlockParam: …` - `id: str` - `input: Dict[str, object]` - `name: str` - `type: Literal["tool_use"]` - `"tool_use"` - `cache_control: Optional[BetaCacheControlEphemeral]` Create a cache control breakpoint at this content block. - `caller: Optional[Caller]` Tool invocation directly from the model. - `class BetaDirectCaller: …` Tool invocation directly from the model. - `type: Literal["direct"]` - `"direct"` - `class BetaServerToolCaller: …` Tool invocation generated by a server-side tool. - `tool_id: str` - `type: Literal["code_execution_20250825"]` - `"code_execution_20250825"` - `class BetaServerToolCaller20260120: …` - `tool_id: str` - `type: Literal["code_execution_20260120"]` - `"code_execution_20260120"` - `class BetaToolResultBlockParam: …` - `tool_use_id: str` - `type: Literal["tool_result"]` - `"tool_result"` - `cache_control: Optional[BetaCacheControlEphemeral]` Create a cache control breakpoint at this content block. - `content: Optional[Union[str, List[Content], null]]` - `str` - `List[Content]` - `class BetaTextBlockParam: …` - `class BetaImageBlockParam: …` - `class BetaSearchResultBlockParam: …` - `class BetaRequestDocumentBlock: …` - `class BetaToolReferenceBlockParam: …` Tool reference block that can be included in tool_result content. - `tool_name: str` - `type: Literal["tool_reference"]` - `"tool_reference"` - `cache_control: Optional[BetaCacheControlEphemeral]` Create a cache control breakpoint at this content block. - `is_error: Optional[bool]` - `class BetaServerToolUseBlockParam: …` - `id: str` - `input: Dict[str, object]` - `name: Literal["advisor", "web_search", "web_fetch", 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: Literal["server_tool_use"]` - `"server_tool_use"` - `cache_control: Optional[BetaCacheControlEphemeral]` Create a cache control breakpoint at this content block. - `caller: Optional[Caller]` Tool invocation directly from the model. - `class BetaDirectCaller: …` Tool invocation directly from the model. - `class BetaServerToolCaller: …` Tool invocation generated by a server-side tool. - `class BetaServerToolCaller20260120: …` - `class BetaWebSearchToolResultBlockParam: …` - `content: BetaWebSearchToolResultBlockParamContent` - `List[BetaWebSearchResultBlockParam]` - `encrypted_content: str` - `title: str` - `type: Literal["web_search_result"]` - `"web_search_result"` - `url: str` - `page_age: Optional[str]` - `class BetaWebSearchToolRequestError: …` - `error_code: BetaWebSearchToolResultErrorCode` - `"invalid_tool_input"` - `"unavailable"` - `"max_uses_exceeded"` - `"too_many_requests"` - `"query_too_long"` - `"request_too_large"` - `type: Literal["web_search_tool_result_error"]` - `"web_search_tool_result_error"` - `tool_use_id: str` - `type: Literal["web_search_tool_result"]` - `"web_search_tool_result"` - `cache_control: Optional[BetaCacheControlEphemeral]` Create a cache control breakpoint at this content block. - `caller: Optional[Caller]` Tool invocation directly from the model. - `class BetaDirectCaller: …` Tool invocation directly from the model. - `class BetaServerToolCaller: …` Tool invocation generated by a server-side tool. - `class BetaServerToolCaller20260120: …` - `class BetaWebFetchToolResultBlockParam: …` - `content: Content` - `class BetaWebFetchToolResultErrorBlockParam: …` - `error_code: BetaWebFetchToolResultErrorCode` - `"invalid_tool_input"` - `"url_too_long"` - `"url_not_allowed"` - `"url_not_in_prior_context"` - `"url_not_accessible"` - `"unsupported_content_type"` - `"too_many_requests"` - `"max_uses_exceeded"` - `"unavailable"` - `type: Literal["web_fetch_tool_result_error"]` - `"web_fetch_tool_result_error"` - `class BetaWebFetchBlockParam: …` - `content: BetaRequestDocumentBlock` - `type: Literal["web_fetch_result"]` - `"web_fetch_result"` - `url: str` Fetched content URL - `retrieved_at: Optional[str]` ISO 8601 timestamp when the content was retrieved - `tool_use_id: str` - `type: Literal["web_fetch_tool_result"]` - `"web_fetch_tool_result"` - `cache_control: Optional[BetaCacheControlEphemeral]` Create a cache control breakpoint at this content block. - `caller: Optional[Caller]` Tool invocation directly from the model. - `class BetaDirectCaller: …` Tool invocation directly from the model. - `class BetaServerToolCaller: …` Tool invocation generated by a server-side tool. - `class BetaServerToolCaller20260120: …` - `class BetaAdvisorToolResultBlockParam: …` - `content: Content` - `class BetaAdvisorToolResultErrorParam: …` - `error_code: Literal["max_uses_exceeded", "prompt_too_long", "too_many_requests", 3 more]` - `"max_uses_exceeded"` - `"prompt_too_long"` - `"too_many_requests"` - `"overloaded"` - `"unavailable"` - `"execution_time_exceeded"` - `type: Literal["advisor_tool_result_error"]` - `"advisor_tool_result_error"` - `class BetaAdvisorResultBlockParam: …` - `text: str` - `type: Literal["advisor_result"]` - `"advisor_result"` - `stop_reason: Optional[str]` - `class BetaAdvisorRedactedResultBlockParam: …` - `encrypted_content: str` Opaque blob produced by a prior response; must be round-tripped verbatim. - `type: Literal["advisor_redacted_result"]` - `"advisor_redacted_result"` - `stop_reason: Optional[str]` - `tool_use_id: str` - `type: Literal["advisor_tool_result"]` - `"advisor_tool_result"` - `cache_control: Optional[BetaCacheControlEphemeral]` Create a cache control breakpoint at this content block. - `class BetaCodeExecutionToolResultBlockParam: …` - `content: BetaCodeExecutionToolResultBlockParamContent` Code execution result with encrypted stdout for PFC + web_search results. - `class BetaCodeExecutionToolResultErrorParam: …` - `error_code: BetaCodeExecutionToolResultErrorCode` - `"invalid_tool_input"` - `"unavailable"` - `"too_many_requests"` - `"execution_time_exceeded"` - `type: Literal["code_execution_tool_result_error"]` - `"code_execution_tool_result_error"` - `class BetaCodeExecutionResultBlockParam: …` - `content: List[BetaCodeExecutionOutputBlockParam]` - `file_id: str` - `type: Literal["code_execution_output"]` - `"code_execution_output"` - `return_code: int` - `stderr: str` - `stdout: str` - `type: Literal["code_execution_result"]` - `"code_execution_result"` - `class BetaEncryptedCodeExecutionResultBlockParam: …` Code execution result with encrypted stdout for PFC + web_search results. - `content: List[BetaCodeExecutionOutputBlockParam]` - `file_id: str` - `type: Literal["code_execution_output"]` - `encrypted_stdout: str` - `return_code: int` - `stderr: str` - `type: Literal["encrypted_code_execution_result"]` - `"encrypted_code_execution_result"` - `tool_use_id: str` - `type: Literal["code_execution_tool_result"]` - `"code_execution_tool_result"` - `cache_control: Optional[BetaCacheControlEphemeral]` Create a cache control breakpoint at this content block. - `class BetaBashCodeExecutionToolResultBlockParam: …` - `content: Content` - `class BetaBashCodeExecutionToolResultErrorParam: …` - `error_code: Literal["invalid_tool_input", "unavailable", "too_many_requests", 2 more]` - `"invalid_tool_input"` - `"unavailable"` - `"too_many_requests"` - `"execution_time_exceeded"` - `"output_file_too_large"` - `type: Literal["bash_code_execution_tool_result_error"]` - `"bash_code_execution_tool_result_error"` - `class BetaBashCodeExecutionResultBlockParam: …` - `content: List[BetaBashCodeExecutionOutputBlockParam]` - `file_id: str` - `type: Literal["bash_code_execution_output"]` - `"bash_code_execution_output"` - `return_code: int` - `stderr: str` - `stdout: str` - `type: Literal["bash_code_execution_result"]` - `"bash_code_execution_result"` - `tool_use_id: str` - `type: Literal["bash_code_execution_tool_result"]` - `"bash_code_execution_tool_result"` - `cache_control: Optional[BetaCacheControlEphemeral]` Create a cache control breakpoint at this content block. - `class BetaTextEditorCodeExecutionToolResultBlockParam: …` - `content: Content` - `class BetaTextEditorCodeExecutionToolResultErrorParam: …` - `error_code: Literal["invalid_tool_input", "unavailable", "too_many_requests", 2 more]` - `"invalid_tool_input"` - `"unavailable"` - `"too_many_requests"` - `"execution_time_exceeded"` - `"file_not_found"` - `type: Literal["text_editor_code_execution_tool_result_error"]` - `"text_editor_code_execution_tool_result_error"` - `error_message: Optional[str]` - `class BetaTextEditorCodeExecutionViewResultBlockParam: …` - `content: str` - `file_type: Literal["text", "image", "pdf"]` - `"text"` - `"image"` - `"pdf"` - `type: Literal["text_editor_code_execution_view_result"]` - `"text_editor_code_execution_view_result"` - `num_lines: Optional[int]` - `start_line: Optional[int]` - `total_lines: Optional[int]` - `class BetaTextEditorCodeExecutionCreateResultBlockParam: …` - `is_file_update: bool` - `type: Literal["text_editor_code_execution_create_result"]` - `"text_editor_code_execution_create_result"` - `class BetaTextEditorCodeExecutionStrReplaceResultBlockParam: …` - `type: Literal["text_editor_code_execution_str_replace_result"]` - `"text_editor_code_execution_str_replace_result"` - `lines: Optional[List[str]]` - `new_lines: Optional[int]` - `new_start: Optional[int]` - `old_lines: Optional[int]` - `old_start: Optional[int]` - `tool_use_id: str` - `type: Literal["text_editor_code_execution_tool_result"]` - `"text_editor_code_execution_tool_result"` - `cache_control: Optional[BetaCacheControlEphemeral]` Create a cache control breakpoint at this content block. - `class BetaToolSearchToolResultBlockParam: …` - `content: Content` - `class BetaToolSearchToolResultErrorParam: …` - `error_code: Literal["invalid_tool_input", "unavailable", "too_many_requests", "execution_time_exceeded"]` - `"invalid_tool_input"` - `"unavailable"` - `"too_many_requests"` - `"execution_time_exceeded"` - `type: Literal["tool_search_tool_result_error"]` - `"tool_search_tool_result_error"` - `class BetaToolSearchToolSearchResultBlockParam: …` - `tool_references: List[BetaToolReferenceBlockParam]` - `tool_name: str` - `type: Literal["tool_reference"]` - `cache_control: Optional[BetaCacheControlEphemeral]` Create a cache control breakpoint at this content block. - `type: Literal["tool_search_tool_search_result"]` - `"tool_search_tool_search_result"` - `tool_use_id: str` - `type: Literal["tool_search_tool_result"]` - `"tool_search_tool_result"` - `cache_control: Optional[BetaCacheControlEphemeral]` Create a cache control breakpoint at this content block. - `class BetaMCPToolUseBlockParam: …` - `id: str` - `input: Dict[str, object]` - `name: str` - `server_name: str` The name of the MCP server - `type: Literal["mcp_tool_use"]` - `"mcp_tool_use"` - `cache_control: Optional[BetaCacheControlEphemeral]` Create a cache control breakpoint at this content block. - `class BetaRequestMCPToolResultBlockParam: …` - `tool_use_id: str` - `type: Literal["mcp_tool_result"]` - `"mcp_tool_result"` - `cache_control: Optional[BetaCacheControlEphemeral]` Create a cache control breakpoint at this content block. - `content: Optional[Union[str, List[BetaTextBlockParam], null]]` - `str` - `List[BetaTextBlockParam]` - `text: str` - `type: Literal["text"]` - `cache_control: Optional[BetaCacheControlEphemeral]` Create a cache control breakpoint at this content block. - `citations: Optional[List[BetaTextCitationParam]]` - `is_error: Optional[bool]` - `class BetaContainerUploadBlockParam: …` A content block that represents a file to be uploaded to the container Files uploaded via this block will be available in the container's input directory. - `file_id: str` - `type: Literal["container_upload"]` - `"container_upload"` - `cache_control: Optional[BetaCacheControlEphemeral]` Create a cache control breakpoint at this content block. - `class BetaCompactionBlockParam: …` A compaction block containing summary of previous context. Users should round-trip these blocks from responses to subsequent requests to maintain context across compaction boundaries. When content is None, the block represents a failed compaction. The server treats these as no-ops. Empty string content is not allowed. - `type: Literal["compaction"]` - `"compaction"` - `cache_control: Optional[BetaCacheControlEphemeral]` Create a cache control breakpoint at this content block. - `content: Optional[str]` Summary of previously compacted content, or null if compaction failed - `encrypted_content: Optional[str]` Opaque metadata from prior compaction, to be round-tripped verbatim - `class BetaMidConversationSystemBlockParam: …` System instructions that appear mid-conversation. Use this block to provide or update system-level instructions at a specific point in the conversation, rather than only via the top-level `system` parameter. - `content: List[BetaTextBlockParam]` System instruction text blocks. - `text: str` - `type: Literal["text"]` - `cache_control: Optional[BetaCacheControlEphemeral]` Create a cache control breakpoint at this content block. - `citations: Optional[List[BetaTextCitationParam]]` - `type: Literal["mid_conv_system"]` - `"mid_conv_system"` - `cache_control: Optional[BetaCacheControlEphemeral]` Create a cache control breakpoint at this content block. - `role: Literal["user", "assistant", "system"]` - `"user"` - `"assistant"` - `"system"` - `model: ModelParam` The model that will complete your prompt. See [models](https://docs.anthropic.com/en/docs/models-overview) for additional details and options. - `Literal["claude-opus-4-8", "claude-opus-4-7", "claude-mythos-preview", 15 more]` The model that will complete your prompt. See [models](https://docs.anthropic.com/en/docs/models-overview) for additional details and options. - `claude-opus-4-8` - Frontier intelligence for long-running agents and coding - `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` - Deprecated: Will reach end-of-life on June 15th, 2026. Please migrate to a newer model. Visit https://docs.anthropic.com/en/docs/resources/model-deprecations for more information. - `claude-opus-4-20250514` - Deprecated: Will reach end-of-life on June 15th, 2026. Please migrate to a newer model. Visit https://docs.anthropic.com/en/docs/resources/model-deprecations for more information. - `claude-sonnet-4-0` - Deprecated: Will reach end-of-life on June 15th, 2026. Please migrate to a newer model. Visit https://docs.anthropic.com/en/docs/resources/model-deprecations for more information. - `claude-sonnet-4-20250514` - Deprecated: Will reach end-of-life on June 15th, 2026. Please migrate to a newer model. Visit https://docs.anthropic.com/en/docs/resources/model-deprecations for more information. - `claude-3-haiku-20240307` - Deprecated: Will reach end-of-life on April 20th, 2026. Please migrate to claude-haiku-4-5. Visit https://docs.anthropic.com/en/docs/resources/model-deprecations for more information. - `"claude-opus-4-8"` Frontier intelligence for long-running agents and coding - `"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 - `str` - `cache_control: Optional[BetaCacheControlEphemeralParam]` Top-level cache control automatically applies a cache_control marker to the last cacheable block in the request. - `container: Optional[RequestParamsContainer]` Container identifier for reuse across requests. - `class BetaContainerParams: …` Container parameters with skills to be loaded. - `id: Optional[str]` Container id - `skills: Optional[List[BetaSkillParams]]` List of skills to load in the container - `skill_id: str` Skill ID - `type: Literal["anthropic", "custom"]` Type of skill - either 'anthropic' (built-in) or 'custom' (user-defined) - `"anthropic"` - `"custom"` - `version: Optional[str]` Skill version or 'latest' for most recent version - `str` - `context_management: Optional[BetaContextManagementConfigParam]` Context management configuration. This allows you to control how Claude manages context across multiple requests, such as whether to clear function results or not. - `edits: Optional[List[Edit]]` List of context management edits to apply - `class BetaClearToolUses20250919Edit: …` - `type: Literal["clear_tool_uses_20250919"]` - `"clear_tool_uses_20250919"` - `clear_at_least: Optional[BetaInputTokensClearAtLeast]` Minimum number of tokens that must be cleared when triggered. Context will only be modified if at least this many tokens can be removed. - `type: Literal["input_tokens"]` - `"input_tokens"` - `value: int` - `clear_tool_inputs: Optional[Union[bool, List[str], null]]` Whether to clear all tool inputs (bool) or specific tool inputs to clear (list) - `bool` - `List[str]` - `exclude_tools: Optional[List[str]]` Tool names whose uses are preserved from clearing - `keep: Optional[BetaToolUsesKeep]` Number of tool uses to retain in the conversation - `type: Literal["tool_uses"]` - `"tool_uses"` - `value: int` - `trigger: Optional[Trigger]` Condition that triggers the context management strategy - `class BetaInputTokensTrigger: …` - `type: Literal["input_tokens"]` - `"input_tokens"` - `value: int` - `class BetaToolUsesTrigger: …` - `type: Literal["tool_uses"]` - `"tool_uses"` - `value: int` - `class BetaClearThinking20251015Edit: …` - `type: Literal["clear_thinking_20251015"]` - `"clear_thinking_20251015"` - `keep: Optional[Keep]` Number of most recent assistant turns to keep thinking blocks for. Older turns will have their thinking blocks removed. - `class BetaThinkingTurns: …` - `type: Literal["thinking_turns"]` - `"thinking_turns"` - `value: int` - `class BetaAllThinkingTurns: …` - `type: Literal["all"]` - `"all"` - `Literal["all"]` - `"all"` - `class BetaCompact20260112Edit: …` Automatically compact older context when reaching the configured trigger threshold. - `type: Literal["compact_20260112"]` - `"compact_20260112"` - `instructions: Optional[str]` Additional instructions for summarization. - `pause_after_compaction: Optional[bool]` Whether to pause after compaction and return the compaction block to the user. - `trigger: Optional[BetaInputTokensTrigger]` When to trigger compaction. Defaults to 150000 input tokens. - `diagnostics: Optional[BetaDiagnosticsParam]` Request-level diagnostics. Currently carries the previous response id for prompt-cache divergence reporting. - `previous_message_id: Optional[str]` The `id` (`msg_...`) from this client's previous /v1/messages response. The server compares that request's prompt fingerprint against this one and returns `diagnostics.cache_miss_reason` when the prompt-cache prefix could not be reused. Pass `null` on the first turn to opt in without a prior message to compare. - `inference_geo: Optional[str]` Specifies the geographic region for inference processing. If not specified, the workspace's `default_inference_geo` is used. - `mcp_servers: Optional[Iterable[BetaRequestMCPServerURLDefinitionParam]]` MCP servers to be utilized in this request - `name: str` - `type: Literal["url"]` - `"url"` - `url: str` - `authorization_token: Optional[str]` - `tool_configuration: Optional[BetaRequestMCPServerToolConfiguration]` - `allowed_tools: Optional[List[str]]` - `enabled: Optional[bool]` - `metadata: Optional[BetaMetadataParam]` An object describing metadata about the request. - `user_id: Optional[str]` An external identifier for the user who is associated with the request. This should be a uuid, hash value, or other opaque identifier. Anthropic may use this id to help detect abuse. Do not include any identifying information such as name, email address, or phone number. - `output_config: Optional[BetaOutputConfigParam]` Configuration options for the model's output, such as the output format. - `effort: Optional[Literal["low", "medium", "high", 2 more]]` All possible effort levels. - `"low"` - `"medium"` - `"high"` - `"xhigh"` - `"max"` - `format: Optional[BetaJSONOutputFormat]` A schema to specify Claude's output format in responses. See [structured outputs](https://platform.claude.com/docs/en/build-with-claude/structured-outputs) - `schema: Dict[str, object]` The JSON schema of the format - `type: Literal["json_schema"]` - `"json_schema"` - `task_budget: Optional[BetaTokenTaskBudget]` User-configurable total token budget across contexts. - `total: int` Total token budget across all contexts in the session. - `type: Literal["tokens"]` The budget type. Currently only 'tokens' is supported. - `"tokens"` - `remaining: Optional[int]` Remaining tokens in the budget. Use this to track usage across contexts when implementing compaction client-side. Defaults to total if not provided. - `output_format: Optional[BetaJSONOutputFormatParam]` Deprecated: Use `output_config.format` instead. See [structured outputs](https://platform.claude.com/docs/en/build-with-claude/structured-outputs) A schema to specify Claude's output format in responses. This parameter will be removed in a future release. - `service_tier: Optional[Literal["auto", "standard_only"]]` Determines whether to use priority capacity (if available) or standard capacity for this request. Anthropic offers different levels of service for your API requests. See [service-tiers](https://docs.claude.com/en/api/service-tiers) for details. - `"auto"` - `"standard_only"` - `speed: Optional[Literal["standard", "fast"]]` The inference speed mode for this request. `"fast"` enables high output-tokens-per-second inference. - `"standard"` - `"fast"` - `stop_sequences: Optional[Sequence[str]]` Custom text sequences that will cause the model to stop generating. Our models will normally stop when they have naturally completed their turn, which will result in a response `stop_reason` of `"end_turn"`. If you want the model to stop generating when it encounters custom strings of text, you can use the `stop_sequences` parameter. If the model encounters one of the custom sequences, the response `stop_reason` value will be `"stop_sequence"` and the response `stop_sequence` value will contain the matched stop sequence. - `stream: Optional[bool]` Whether to incrementally stream the response using server-sent events. See [streaming](https://docs.claude.com/en/api/messages-streaming) for details. - `system: Optional[Union[str, Iterable[BetaTextBlockParam]]]` System prompt. A system prompt is a way of providing context and instructions to Claude, such as specifying a particular goal or role. See our [guide to system prompts](https://docs.claude.com/en/docs/system-prompts). - `str` - `Iterable[BetaTextBlockParam]` - `text: str` - `type: Literal["text"]` - `cache_control: Optional[BetaCacheControlEphemeral]` Create a cache control breakpoint at this content block. - `citations: Optional[List[BetaTextCitationParam]]` - `temperature: Optional[float]` Amount of randomness injected into the response. Defaults to `1.0`. Ranges from `0.0` to `1.0`. Use `temperature` closer to `0.0` for analytical / multiple choice, and closer to `1.0` for creative and generative tasks. Note that even with `temperature` of `0.0`, the results will not be fully deterministic. - `thinking: Optional[BetaThinkingConfigParam]` Configuration for enabling Claude's extended thinking. When enabled, responses include `thinking` content blocks showing Claude's thinking process before the final answer. Requires a minimum budget of 1,024 tokens and counts towards your `max_tokens` limit. See [extended thinking](https://docs.claude.com/en/docs/build-with-claude/extended-thinking) for details. - `class BetaThinkingConfigEnabled: …` - `budget_tokens: int` Determines how many tokens Claude can use for its internal reasoning process. Larger budgets can enable more thorough analysis for complex problems, improving response quality. Must be ≥1024 and less than `max_tokens`. See [extended thinking](https://docs.claude.com/en/docs/build-with-claude/extended-thinking) for details. - `type: Literal["enabled"]` - `"enabled"` - `display: Optional[Literal["summarized", "omitted"]]` Controls how thinking content appears in the response. When set to `summarized`, thinking is returned normally. When set to `omitted`, thinking content is redacted but a signature is returned for multi-turn continuity. Defaults to `summarized`. - `"summarized"` - `"omitted"` - `class BetaThinkingConfigDisabled: …` - `type: Literal["disabled"]` - `"disabled"` - `class BetaThinkingConfigAdaptive: …` - `type: Literal["adaptive"]` - `"adaptive"` - `display: Optional[Literal["summarized", "omitted"]]` Controls how thinking content appears in the response. When set to `summarized`, thinking is returned normally. When set to `omitted`, thinking content is redacted but a signature is returned for multi-turn continuity. Defaults to `summarized`. - `"summarized"` - `"omitted"` - `tool_choice: Optional[BetaToolChoiceParam]` How the model should use the provided tools. The model can use a specific tool, any available tool, decide by itself, or not use tools at all. - `class BetaToolChoiceAuto: …` The model will automatically decide whether to use tools. - `type: Literal["auto"]` - `"auto"` - `disable_parallel_tool_use: Optional[bool]` Whether to disable parallel tool use. Defaults to `false`. If set to `true`, the model will output at most one tool use. - `class BetaToolChoiceAny: …` The model will use any available tools. - `type: Literal["any"]` - `"any"` - `disable_parallel_tool_use: Optional[bool]` Whether to disable parallel tool use. Defaults to `false`. If set to `true`, the model will output exactly one tool use. - `class BetaToolChoiceTool: …` The model will use the specified tool with `tool_choice.name`. - `name: str` The name of the tool to use. - `type: Literal["tool"]` - `"tool"` - `disable_parallel_tool_use: Optional[bool]` Whether to disable parallel tool use. Defaults to `false`. If set to `true`, the model will output exactly one tool use. - `class BetaToolChoiceNone: …` The model will not be allowed to use tools. - `type: Literal["none"]` - `"none"` - `tools: Optional[Iterable[BetaToolUnionParam]]` Definitions of tools that the model may use. If you include `tools` in your API request, the model may return `tool_use` content blocks that represent the model's use of those tools. You can then run those tools using the tool input generated by the model and then optionally return results back to the model using `tool_result` content blocks. There are two types of tools: **client tools** and **server tools**. The behavior described below applies to client tools. For [server tools](https://docs.claude.com/en/docs/agents-and-tools/tool-use/overview#server-tools), see their individual documentation as each has its own behavior (e.g., the [web search tool](https://docs.claude.com/en/docs/agents-and-tools/tool-use/web-search-tool)). Each tool definition includes: * `name`: Name of the tool. * `description`: Optional, but strongly-recommended description of the tool. * `input_schema`: [JSON schema](https://json-schema.org/draft/2020-12) for the tool `input` shape that the model will produce in `tool_use` output content blocks. For example, if you defined `tools` as: ```json [ { "name": "get_stock_price", "description": "Get the current stock price for a given ticker symbol.", "input_schema": { "type": "object", "properties": { "ticker": { "type": "string", "description": "The stock ticker symbol, e.g. AAPL for Apple Inc." } }, "required": ["ticker"] } } ] ``` And then asked the model "What's the S&P 500 at today?", the model might produce `tool_use` content blocks in the response like this: ```json [ { "type": "tool_use", "id": "toolu_01D7FLrfh4GYq7yT1ULFeyMV", "name": "get_stock_price", "input": { "ticker": "^GSPC" } } ] ``` You might then run your `get_stock_price` tool with `{"ticker": "^GSPC"}` as an input, and return the following back to the model in a subsequent `user` message: ```json [ { "type": "tool_result", "tool_use_id": "toolu_01D7FLrfh4GYq7yT1ULFeyMV", "content": "259.75 USD" } ] ``` Tools can be used for workflows that include running client-side tools and functions, or more generally whenever you want the model to produce a particular JSON structure of output. See our [guide](https://docs.claude.com/en/docs/tool-use) for more details. - `class BetaTool: …` - `input_schema: InputSchema` [JSON schema](https://json-schema.org/draft/2020-12) for this tool's input. This defines the shape of the `input` that your tool accepts and that the model will produce. - `type: Literal["object"]` - `"object"` - `properties: Optional[Dict[str, object]]` - `required: Optional[List[str]]` - `name: str` Name of the tool. This is how the tool will be called by the model and in `tool_use` blocks. - `allowed_callers: Optional[List[Literal["direct", "code_execution_20250825", "code_execution_20260120"]]]` - `"direct"` - `"code_execution_20250825"` - `"code_execution_20260120"` - `cache_control: Optional[BetaCacheControlEphemeral]` Create a cache control breakpoint at this content block. - `defer_loading: Optional[bool]` If true, tool will not be included in initial system prompt. Only loaded when returned via tool_reference from tool search. - `description: Optional[str]` Description of what this tool does. Tool descriptions should be as detailed as possible. The more information that the model has about what the tool is and how to use it, the better it will perform. You can use natural language descriptions to reinforce important aspects of the tool input JSON schema. - `eager_input_streaming: Optional[bool]` Enable eager input streaming for this tool. When true, tool input parameters will be streamed incrementally as they are generated, and types will be inferred on-the-fly rather than buffering the full JSON output. When false, streaming is disabled for this tool even if the fine-grained-tool-streaming beta is active. When null (default), uses the default behavior based on beta headers. - `input_examples: Optional[List[Dict[str, object]]]` - `strict: Optional[bool]` When true, guarantees schema validation on tool names and inputs - `type: Optional[Literal["custom"]]` - `"custom"` - `class BetaToolBash20241022: …` - `name: Literal["bash"]` Name of the tool. This is how the tool will be called by the model and in `tool_use` blocks. - `"bash"` - `type: Literal["bash_20241022"]` - `"bash_20241022"` - `allowed_callers: Optional[List[Literal["direct", "code_execution_20250825", "code_execution_20260120"]]]` - `"direct"` - `"code_execution_20250825"` - `"code_execution_20260120"` - `cache_control: Optional[BetaCacheControlEphemeral]` Create a cache control breakpoint at this content block. - `defer_loading: Optional[bool]` If true, tool will not be included in initial system prompt. Only loaded when returned via tool_reference from tool search. - `input_examples: Optional[List[Dict[str, object]]]` - `strict: Optional[bool]` When true, guarantees schema validation on tool names and inputs - `class BetaToolBash20250124: …` - `name: Literal["bash"]` Name of the tool. This is how the tool will be called by the model and in `tool_use` blocks. - `"bash"` - `type: Literal["bash_20250124"]` - `"bash_20250124"` - `allowed_callers: Optional[List[Literal["direct", "code_execution_20250825", "code_execution_20260120"]]]` - `"direct"` - `"code_execution_20250825"` - `"code_execution_20260120"` - `cache_control: Optional[BetaCacheControlEphemeral]` Create a cache control breakpoint at this content block. - `defer_loading: Optional[bool]` If true, tool will not be included in initial system prompt. Only loaded when returned via tool_reference from tool search. - `input_examples: Optional[List[Dict[str, object]]]` - `strict: Optional[bool]` When true, guarantees schema validation on tool names and inputs - `class BetaCodeExecutionTool20250522: …` - `name: Literal["code_execution"]` Name of the tool. This is how the tool will be called by the model and in `tool_use` blocks. - `"code_execution"` - `type: Literal["code_execution_20250522"]` - `"code_execution_20250522"` - `allowed_callers: Optional[List[Literal["direct", "code_execution_20250825", "code_execution_20260120"]]]` - `"direct"` - `"code_execution_20250825"` - `"code_execution_20260120"` - `cache_control: Optional[BetaCacheControlEphemeral]` Create a cache control breakpoint at this content block. - `defer_loading: Optional[bool]` If true, tool will not be included in initial system prompt. Only loaded when returned via tool_reference from tool search. - `strict: Optional[bool]` When true, guarantees schema validation on tool names and inputs - `class BetaCodeExecutionTool20250825: …` - `name: Literal["code_execution"]` Name of the tool. This is how the tool will be called by the model and in `tool_use` blocks. - `"code_execution"` - `type: Literal["code_execution_20250825"]` - `"code_execution_20250825"` - `allowed_callers: Optional[List[Literal["direct", "code_execution_20250825", "code_execution_20260120"]]]` - `"direct"` - `"code_execution_20250825"` - `"code_execution_20260120"` - `cache_control: Optional[BetaCacheControlEphemeral]` Create a cache control breakpoint at this content block. - `defer_loading: Optional[bool]` If true, tool will not be included in initial system prompt. Only loaded when returned via tool_reference from tool search. - `strict: Optional[bool]` When true, guarantees schema validation on tool names and inputs - `class BetaCodeExecutionTool20260120: …` Code execution tool with REPL state persistence (daemon mode + gVisor checkpoint). - `name: Literal["code_execution"]` Name of the tool. This is how the tool will be called by the model and in `tool_use` blocks. - `"code_execution"` - `type: Literal["code_execution_20260120"]` - `"code_execution_20260120"` - `allowed_callers: Optional[List[Literal["direct", "code_execution_20250825", "code_execution_20260120"]]]` - `"direct"` - `"code_execution_20250825"` - `"code_execution_20260120"` - `cache_control: Optional[BetaCacheControlEphemeral]` Create a cache control breakpoint at this content block. - `defer_loading: Optional[bool]` If true, tool will not be included in initial system prompt. Only loaded when returned via tool_reference from tool search. - `strict: Optional[bool]` When true, guarantees schema validation on tool names and inputs - `class BetaToolComputerUse20241022: …` - `display_height_px: int` The height of the display in pixels. - `display_width_px: int` The width of the display in pixels. - `name: Literal["computer"]` Name of the tool. This is how the tool will be called by the model and in `tool_use` blocks. - `"computer"` - `type: Literal["computer_20241022"]` - `"computer_20241022"` - `allowed_callers: Optional[List[Literal["direct", "code_execution_20250825", "code_execution_20260120"]]]` - `"direct"` - `"code_execution_20250825"` - `"code_execution_20260120"` - `cache_control: Optional[BetaCacheControlEphemeral]` Create a cache control breakpoint at this content block. - `defer_loading: Optional[bool]` If true, tool will not be included in initial system prompt. Only loaded when returned via tool_reference from tool search. - `display_number: Optional[int]` The X11 display number (e.g. 0, 1) for the display. - `input_examples: Optional[List[Dict[str, object]]]` - `strict: Optional[bool]` When true, guarantees schema validation on tool names and inputs - `class BetaMemoryTool20250818: …` - `name: Literal["memory"]` Name of the tool. This is how the tool will be called by the model and in `tool_use` blocks. - `"memory"` - `type: Literal["memory_20250818"]` - `"memory_20250818"` - `allowed_callers: Optional[List[Literal["direct", "code_execution_20250825", "code_execution_20260120"]]]` - `"direct"` - `"code_execution_20250825"` - `"code_execution_20260120"` - `cache_control: Optional[BetaCacheControlEphemeral]` Create a cache control breakpoint at this content block. - `defer_loading: Optional[bool]` If true, tool will not be included in initial system prompt. Only loaded when returned via tool_reference from tool search. - `input_examples: Optional[List[Dict[str, object]]]` - `strict: Optional[bool]` When true, guarantees schema validation on tool names and inputs - `class BetaToolComputerUse20250124: …` - `display_height_px: int` The height of the display in pixels. - `display_width_px: int` The width of the display in pixels. - `name: Literal["computer"]` Name of the tool. This is how the tool will be called by the model and in `tool_use` blocks. - `"computer"` - `type: Literal["computer_20250124"]` - `"computer_20250124"` - `allowed_callers: Optional[List[Literal["direct", "code_execution_20250825", "code_execution_20260120"]]]` - `"direct"` - `"code_execution_20250825"` - `"code_execution_20260120"` - `cache_control: Optional[BetaCacheControlEphemeral]` Create a cache control breakpoint at this content block. - `defer_loading: Optional[bool]` If true, tool will not be included in initial system prompt. Only loaded when returned via tool_reference from tool search. - `display_number: Optional[int]` The X11 display number (e.g. 0, 1) for the display. - `input_examples: Optional[List[Dict[str, object]]]` - `strict: Optional[bool]` When true, guarantees schema validation on tool names and inputs - `class BetaToolTextEditor20241022: …` - `name: Literal["str_replace_editor"]` Name of the tool. This is how the tool will be called by the model and in `tool_use` blocks. - `"str_replace_editor"` - `type: Literal["text_editor_20241022"]` - `"text_editor_20241022"` - `allowed_callers: Optional[List[Literal["direct", "code_execution_20250825", "code_execution_20260120"]]]` - `"direct"` - `"code_execution_20250825"` - `"code_execution_20260120"` - `cache_control: Optional[BetaCacheControlEphemeral]` Create a cache control breakpoint at this content block. - `defer_loading: Optional[bool]` If true, tool will not be included in initial system prompt. Only loaded when returned via tool_reference from tool search. - `input_examples: Optional[List[Dict[str, object]]]` - `strict: Optional[bool]` When true, guarantees schema validation on tool names and inputs - `class BetaToolComputerUse20251124: …` - `display_height_px: int` The height of the display in pixels. - `display_width_px: int` The width of the display in pixels. - `name: Literal["computer"]` Name of the tool. This is how the tool will be called by the model and in `tool_use` blocks. - `"computer"` - `type: Literal["computer_20251124"]` - `"computer_20251124"` - `allowed_callers: Optional[List[Literal["direct", "code_execution_20250825", "code_execution_20260120"]]]` - `"direct"` - `"code_execution_20250825"` - `"code_execution_20260120"` - `cache_control: Optional[BetaCacheControlEphemeral]` Create a cache control breakpoint at this content block. - `defer_loading: Optional[bool]` If true, tool will not be included in initial system prompt. Only loaded when returned via tool_reference from tool search. - `display_number: Optional[int]` The X11 display number (e.g. 0, 1) for the display. - `enable_zoom: Optional[bool]` Whether to enable an action to take a zoomed-in screenshot of the screen. - `input_examples: Optional[List[Dict[str, object]]]` - `strict: Optional[bool]` When true, guarantees schema validation on tool names and inputs - `class BetaToolTextEditor20250124: …` - `name: Literal["str_replace_editor"]` Name of the tool. This is how the tool will be called by the model and in `tool_use` blocks. - `"str_replace_editor"` - `type: Literal["text_editor_20250124"]` - `"text_editor_20250124"` - `allowed_callers: Optional[List[Literal["direct", "code_execution_20250825", "code_execution_20260120"]]]` - `"direct"` - `"code_execution_20250825"` - `"code_execution_20260120"` - `cache_control: Optional[BetaCacheControlEphemeral]` Create a cache control breakpoint at this content block. - `defer_loading: Optional[bool]` If true, tool will not be included in initial system prompt. Only loaded when returned via tool_reference from tool search. - `input_examples: Optional[List[Dict[str, object]]]` - `strict: Optional[bool]` When true, guarantees schema validation on tool names and inputs - `class BetaToolTextEditor20250429: …` - `name: Literal["str_replace_based_edit_tool"]` Name of the tool. This is how the tool will be called by the model and in `tool_use` blocks. - `"str_replace_based_edit_tool"` - `type: Literal["text_editor_20250429"]` - `"text_editor_20250429"` - `allowed_callers: Optional[List[Literal["direct", "code_execution_20250825", "code_execution_20260120"]]]` - `"direct"` - `"code_execution_20250825"` - `"code_execution_20260120"` - `cache_control: Optional[BetaCacheControlEphemeral]` Create a cache control breakpoint at this content block. - `defer_loading: Optional[bool]` If true, tool will not be included in initial system prompt. Only loaded when returned via tool_reference from tool search. - `input_examples: Optional[List[Dict[str, object]]]` - `strict: Optional[bool]` When true, guarantees schema validation on tool names and inputs - `class BetaToolTextEditor20250728: …` - `name: Literal["str_replace_based_edit_tool"]` Name of the tool. This is how the tool will be called by the model and in `tool_use` blocks. - `"str_replace_based_edit_tool"` - `type: Literal["text_editor_20250728"]` - `"text_editor_20250728"` - `allowed_callers: Optional[List[Literal["direct", "code_execution_20250825", "code_execution_20260120"]]]` - `"direct"` - `"code_execution_20250825"` - `"code_execution_20260120"` - `cache_control: Optional[BetaCacheControlEphemeral]` Create a cache control breakpoint at this content block. - `defer_loading: Optional[bool]` If true, tool will not be included in initial system prompt. Only loaded when returned via tool_reference from tool search. - `input_examples: Optional[List[Dict[str, object]]]` - `max_characters: Optional[int]` Maximum number of characters to display when viewing a file. If not specified, defaults to displaying the full file. - `strict: Optional[bool]` When true, guarantees schema validation on tool names and inputs - `class BetaWebSearchTool20250305: …` - `name: Literal["web_search"]` Name of the tool. This is how the tool will be called by the model and in `tool_use` blocks. - `"web_search"` - `type: Literal["web_search_20250305"]` - `"web_search_20250305"` - `allowed_callers: Optional[List[Literal["direct", "code_execution_20250825", "code_execution_20260120"]]]` - `"direct"` - `"code_execution_20250825"` - `"code_execution_20260120"` - `allowed_domains: Optional[List[str]]` If provided, only these domains will be included in results. Cannot be used alongside `blocked_domains`. - `blocked_domains: Optional[List[str]]` If provided, these domains will never appear in results. Cannot be used alongside `allowed_domains`. - `cache_control: Optional[BetaCacheControlEphemeral]` Create a cache control breakpoint at this content block. - `defer_loading: Optional[bool]` If true, tool will not be included in initial system prompt. Only loaded when returned via tool_reference from tool search. - `max_uses: Optional[int]` Maximum number of times the tool can be used in the API request. - `strict: Optional[bool]` When true, guarantees schema validation on tool names and inputs - `user_location: Optional[BetaUserLocation]` Parameters for the user's location. Used to provide more relevant search results. - `type: Literal["approximate"]` - `"approximate"` - `city: Optional[str]` The city of the user. - `country: Optional[str]` The two letter [ISO country code](https://en.wikipedia.org/wiki/ISO_3166-1_alpha-2) of the user. - `region: Optional[str]` The region of the user. - `timezone: Optional[str]` The [IANA timezone](https://nodatime.org/TimeZones) of the user. - `class BetaWebFetchTool20250910: …` - `name: Literal["web_fetch"]` Name of the tool. This is how the tool will be called by the model and in `tool_use` blocks. - `"web_fetch"` - `type: Literal["web_fetch_20250910"]` - `"web_fetch_20250910"` - `allowed_callers: Optional[List[Literal["direct", "code_execution_20250825", "code_execution_20260120"]]]` - `"direct"` - `"code_execution_20250825"` - `"code_execution_20260120"` - `allowed_domains: Optional[List[str]]` List of domains to allow fetching from - `blocked_domains: Optional[List[str]]` List of domains to block fetching from - `cache_control: Optional[BetaCacheControlEphemeral]` Create a cache control breakpoint at this content block. - `citations: Optional[BetaCitationsConfigParam]` Citations configuration for fetched documents. Citations are disabled by default. - `defer_loading: Optional[bool]` If true, tool will not be included in initial system prompt. Only loaded when returned via tool_reference from tool search. - `max_content_tokens: Optional[int]` Maximum number of tokens used by including web page text content in the context. The limit is approximate and does not apply to binary content such as PDFs. - `max_uses: Optional[int]` Maximum number of times the tool can be used in the API request. - `strict: Optional[bool]` When true, guarantees schema validation on tool names and inputs - `class BetaWebSearchTool20260209: …` - `name: Literal["web_search"]` Name of the tool. This is how the tool will be called by the model and in `tool_use` blocks. - `"web_search"` - `type: Literal["web_search_20260209"]` - `"web_search_20260209"` - `allowed_callers: Optional[List[Literal["direct", "code_execution_20250825", "code_execution_20260120"]]]` - `"direct"` - `"code_execution_20250825"` - `"code_execution_20260120"` - `allowed_domains: Optional[List[str]]` If provided, only these domains will be included in results. Cannot be used alongside `blocked_domains`. - `blocked_domains: Optional[List[str]]` If provided, these domains will never appear in results. Cannot be used alongside `allowed_domains`. - `cache_control: Optional[BetaCacheControlEphemeral]` Create a cache control breakpoint at this content block. - `defer_loading: Optional[bool]` If true, tool will not be included in initial system prompt. Only loaded when returned via tool_reference from tool search. - `max_uses: Optional[int]` Maximum number of times the tool can be used in the API request. - `strict: Optional[bool]` When true, guarantees schema validation on tool names and inputs - `user_location: Optional[BetaUserLocation]` Parameters for the user's location. Used to provide more relevant search results. - `class BetaWebFetchTool20260209: …` - `name: Literal["web_fetch"]` Name of the tool. This is how the tool will be called by the model and in `tool_use` blocks. - `"web_fetch"` - `type: Literal["web_fetch_20260209"]` - `"web_fetch_20260209"` - `allowed_callers: Optional[List[Literal["direct", "code_execution_20250825", "code_execution_20260120"]]]` - `"direct"` - `"code_execution_20250825"` - `"code_execution_20260120"` - `allowed_domains: Optional[List[str]]` List of domains to allow fetching from - `blocked_domains: Optional[List[str]]` List of domains to block fetching from - `cache_control: Optional[BetaCacheControlEphemeral]` Create a cache control breakpoint at this content block. - `citations: Optional[BetaCitationsConfigParam]` Citations configuration for fetched documents. Citations are disabled by default. - `defer_loading: Optional[bool]` If true, tool will not be included in initial system prompt. Only loaded when returned via tool_reference from tool search. - `max_content_tokens: Optional[int]` Maximum number of tokens used by including web page text content in the context. The limit is approximate and does not apply to binary content such as PDFs. - `max_uses: Optional[int]` Maximum number of times the tool can be used in the API request. - `strict: Optional[bool]` When true, guarantees schema validation on tool names and inputs - `class BetaWebFetchTool20260309: …` Web fetch tool with use_cache parameter for bypassing cached content. - `name: Literal["web_fetch"]` Name of the tool. This is how the tool will be called by the model and in `tool_use` blocks. - `"web_fetch"` - `type: Literal["web_fetch_20260309"]` - `"web_fetch_20260309"` - `allowed_callers: Optional[List[Literal["direct", "code_execution_20250825", "code_execution_20260120"]]]` - `"direct"` - `"code_execution_20250825"` - `"code_execution_20260120"` - `allowed_domains: Optional[List[str]]` List of domains to allow fetching from - `blocked_domains: Optional[List[str]]` List of domains to block fetching from - `cache_control: Optional[BetaCacheControlEphemeral]` Create a cache control breakpoint at this content block. - `citations: Optional[BetaCitationsConfigParam]` Citations configuration for fetched documents. Citations are disabled by default. - `defer_loading: Optional[bool]` If true, tool will not be included in initial system prompt. Only loaded when returned via tool_reference from tool search. - `max_content_tokens: Optional[int]` Maximum number of tokens used by including web page text content in the context. The limit is approximate and does not apply to binary content such as PDFs. - `max_uses: Optional[int]` Maximum number of times the tool can be used in the API request. - `strict: Optional[bool]` When true, guarantees schema validation on tool names and inputs - `use_cache: Optional[bool]` Whether to use cached content. Set to false to bypass the cache and fetch fresh content. Only set to false when the user explicitly requests fresh content or when fetching rapidly-changing sources. - `class BetaAdvisorTool20260301: …` - `model: Model` The model that will complete your prompt. See [models](https://docs.anthropic.com/en/docs/models-overview) for additional details and options. - `name: Literal["advisor"]` Name of the tool. This is how the tool will be called by the model and in `tool_use` blocks. - `"advisor"` - `type: Literal["advisor_20260301"]` - `"advisor_20260301"` - `allowed_callers: Optional[List[Literal["direct", "code_execution_20250825", "code_execution_20260120"]]]` - `"direct"` - `"code_execution_20250825"` - `"code_execution_20260120"` - `cache_control: Optional[BetaCacheControlEphemeral]` Create a cache control breakpoint at this content block. - `caching: Optional[BetaCacheControlEphemeral]` Caching for the advisor's own prompt. When set, each advisor call writes a cache entry at the given TTL so subsequent calls in the same conversation read the stable prefix. When omitted, the advisor prompt is not cached. - `defer_loading: Optional[bool]` If true, tool will not be included in initial system prompt. Only loaded when returned via tool_reference from tool search. - `max_uses: Optional[int]` Maximum number of times the tool can be used in the API request. - `strict: Optional[bool]` When true, guarantees schema validation on tool names and inputs - `class BetaToolSearchToolBm25_20251119: …` - `name: Literal["tool_search_tool_bm25"]` Name of the tool. This is how the tool will be called by the model and in `tool_use` blocks. - `"tool_search_tool_bm25"` - `type: Literal["tool_search_tool_bm25_20251119", "tool_search_tool_bm25"]` - `"tool_search_tool_bm25_20251119"` - `"tool_search_tool_bm25"` - `allowed_callers: Optional[List[Literal["direct", "code_execution_20250825", "code_execution_20260120"]]]` - `"direct"` - `"code_execution_20250825"` - `"code_execution_20260120"` - `cache_control: Optional[BetaCacheControlEphemeral]` Create a cache control breakpoint at this content block. - `defer_loading: Optional[bool]` If true, tool will not be included in initial system prompt. Only loaded when returned via tool_reference from tool search. - `strict: Optional[bool]` When true, guarantees schema validation on tool names and inputs - `class BetaToolSearchToolRegex20251119: …` - `name: Literal["tool_search_tool_regex"]` Name of the tool. This is how the tool will be called by the model and in `tool_use` blocks. - `"tool_search_tool_regex"` - `type: Literal["tool_search_tool_regex_20251119", "tool_search_tool_regex"]` - `"tool_search_tool_regex_20251119"` - `"tool_search_tool_regex"` - `allowed_callers: Optional[List[Literal["direct", "code_execution_20250825", "code_execution_20260120"]]]` - `"direct"` - `"code_execution_20250825"` - `"code_execution_20260120"` - `cache_control: Optional[BetaCacheControlEphemeral]` Create a cache control breakpoint at this content block. - `defer_loading: Optional[bool]` If true, tool will not be included in initial system prompt. Only loaded when returned via tool_reference from tool search. - `strict: Optional[bool]` When true, guarantees schema validation on tool names and inputs - `class BetaMCPToolset: …` Configuration for a group of tools from an MCP server. Allows configuring enabled status and defer_loading for all tools from an MCP server, with optional per-tool overrides. - `mcp_server_name: str` Name of the MCP server to configure tools for - `type: Literal["mcp_toolset"]` - `"mcp_toolset"` - `cache_control: Optional[BetaCacheControlEphemeral]` Create a cache control breakpoint at this content block. - `configs: Optional[Dict[str, BetaMCPToolConfig]]` Configuration overrides for specific tools, keyed by tool name - `defer_loading: Optional[bool]` - `enabled: Optional[bool]` - `default_config: Optional[BetaMCPToolDefaultConfig]` Default configuration applied to all tools from this server - `defer_loading: Optional[bool]` - `enabled: Optional[bool]` - `top_k: Optional[int]` Only sample from the top K options for each subsequent token. Used to remove "long tail" low probability responses. [Learn more technical details here](https://towardsdatascience.com/how-to-sample-from-language-models-682bceb97277). Recommended for advanced use cases only. - `top_p: Optional[float]` Use nucleus sampling. In nucleus sampling, we compute the cumulative distribution over all the options for each subsequent token in decreasing probability order and cut it off once it reaches a particular probability specified by `top_p`. Recommended for advanced use cases only. - `user_profile_id: Optional[str]` The user profile ID to attribute this request to. Use when acting on behalf of a party other than your organization. - `betas: Optional[List[AnthropicBetaParam]]` Optional header to specify the beta version(s) you want to use. - `str` - `Literal["message-batches-2024-09-24", "prompt-caching-2024-07-31", "computer-use-2024-10-22", 23 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"` - `"thinking-token-count-2026-05-13"` ### Returns - `class BetaMessageBatch: …` - `id: str` Unique object identifier. The format and length of IDs may change over time. - `archived_at: Optional[datetime]` RFC 3339 datetime string representing the time at which the Message Batch was archived and its results became unavailable. - `cancel_initiated_at: Optional[datetime]` RFC 3339 datetime string representing the time at which cancellation was initiated for the Message Batch. Specified only if cancellation was initiated. - `created_at: datetime` RFC 3339 datetime string representing the time at which the Message Batch was created. - `ended_at: Optional[datetime]` RFC 3339 datetime string representing the time at which processing for the Message Batch ended. Specified only once processing ends. Processing ends when every request in a Message Batch has either succeeded, errored, canceled, or expired. - `expires_at: datetime` RFC 3339 datetime string representing the time at which the Message Batch will expire and end processing, which is 24 hours after creation. - `processing_status: Literal["in_progress", "canceling", "ended"]` Processing status of the Message Batch. - `"in_progress"` - `"canceling"` - `"ended"` - `request_counts: BetaMessageBatchRequestCounts` Tallies requests within the Message Batch, categorized by their status. Requests start as `processing` and move to one of the other statuses only once processing of the entire batch ends. The sum of all values always matches the total number of requests in the batch. - `canceled: int` Number of requests in the Message Batch that have been canceled. This is zero until processing of the entire Message Batch has ended. - `errored: int` Number of requests in the Message Batch that encountered an error. This is zero until processing of the entire Message Batch has ended. - `expired: int` Number of requests in the Message Batch that have expired. This is zero until processing of the entire Message Batch has ended. - `processing: int` Number of requests in the Message Batch that are processing. - `succeeded: int` Number of requests in the Message Batch that have completed successfully. This is zero until processing of the entire Message Batch has ended. - `results_url: Optional[str]` URL to a `.jsonl` file containing the results of the Message Batch requests. Specified only once processing ends. Results in the file are not guaranteed to be in the same order as requests. Use the `custom_id` field to match results to requests. - `type: Literal["message_batch"]` Object type. For Message Batches, this is always `"message_batch"`. - `"message_batch"` ### Example ```python import os from anthropic import Anthropic client = Anthropic( api_key=os.environ.get("ANTHROPIC_API_KEY"), # This is the default and can be omitted ) beta_message_batch = client.beta.messages.batches.create( requests=[{ "custom_id": "my-custom-id-1", "params": { "max_tokens": 1024, "messages": [{ "content": "Hello, world", "role": "user", }], "model": "claude-opus-4-6", }, }], ) print(beta_message_batch.id) ``` #### Response ```json { "id": "msgbatch_013Zva2CMHLNnXjNJJKqJ2EF", "archived_at": "2024-08-20T18:37:24.100435Z", "cancel_initiated_at": "2024-08-20T18:37:24.100435Z", "created_at": "2024-08-20T18:37:24.100435Z", "ended_at": "2024-08-20T18:37:24.100435Z", "expires_at": "2024-08-20T18:37:24.100435Z", "processing_status": "in_progress", "request_counts": { "canceled": 10, "errored": 30, "expired": 10, "processing": 100, "succeeded": 50 }, "results_url": "https://api.anthropic.com/v1/messages/batches/msgbatch_013Zva2CMHLNnXjNJJKqJ2EF/results", "type": "message_batch" } ``` ## Retrieve a Message Batch `beta.messages.batches.retrieve(strmessage_batch_id, BatchRetrieveParams**kwargs) -> BetaMessageBatch` **get** `/v1/messages/batches/{message_batch_id}` This endpoint is idempotent and can be used to poll for Message Batch completion. To access the results of a Message Batch, make a request to the `results_url` field in the response. Learn more about the Message Batches API in our [user guide](https://docs.claude.com/en/docs/build-with-claude/batch-processing) ### Parameters - `message_batch_id: str` ID of the Message Batch. - `betas: Optional[List[AnthropicBetaParam]]` Optional header to specify the beta version(s) you want to use. - `str` - `Literal["message-batches-2024-09-24", "prompt-caching-2024-07-31", "computer-use-2024-10-22", 23 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"` - `"thinking-token-count-2026-05-13"` ### Returns - `class BetaMessageBatch: …` - `id: str` Unique object identifier. The format and length of IDs may change over time. - `archived_at: Optional[datetime]` RFC 3339 datetime string representing the time at which the Message Batch was archived and its results became unavailable. - `cancel_initiated_at: Optional[datetime]` RFC 3339 datetime string representing the time at which cancellation was initiated for the Message Batch. Specified only if cancellation was initiated. - `created_at: datetime` RFC 3339 datetime string representing the time at which the Message Batch was created. - `ended_at: Optional[datetime]` RFC 3339 datetime string representing the time at which processing for the Message Batch ended. Specified only once processing ends. Processing ends when every request in a Message Batch has either succeeded, errored, canceled, or expired. - `expires_at: datetime` RFC 3339 datetime string representing the time at which the Message Batch will expire and end processing, which is 24 hours after creation. - `processing_status: Literal["in_progress", "canceling", "ended"]` Processing status of the Message Batch. - `"in_progress"` - `"canceling"` - `"ended"` - `request_counts: BetaMessageBatchRequestCounts` Tallies requests within the Message Batch, categorized by their status. Requests start as `processing` and move to one of the other statuses only once processing of the entire batch ends. The sum of all values always matches the total number of requests in the batch. - `canceled: int` Number of requests in the Message Batch that have been canceled. This is zero until processing of the entire Message Batch has ended. - `errored: int` Number of requests in the Message Batch that encountered an error. This is zero until processing of the entire Message Batch has ended. - `expired: int` Number of requests in the Message Batch that have expired. This is zero until processing of the entire Message Batch has ended. - `processing: int` Number of requests in the Message Batch that are processing. - `succeeded: int` Number of requests in the Message Batch that have completed successfully. This is zero until processing of the entire Message Batch has ended. - `results_url: Optional[str]` URL to a `.jsonl` file containing the results of the Message Batch requests. Specified only once processing ends. Results in the file are not guaranteed to be in the same order as requests. Use the `custom_id` field to match results to requests. - `type: Literal["message_batch"]` Object type. For Message Batches, this is always `"message_batch"`. - `"message_batch"` ### Example ```python import os from anthropic import Anthropic client = Anthropic( api_key=os.environ.get("ANTHROPIC_API_KEY"), # This is the default and can be omitted ) beta_message_batch = client.beta.messages.batches.retrieve( message_batch_id="message_batch_id", ) print(beta_message_batch.id) ``` #### Response ```json { "id": "msgbatch_013Zva2CMHLNnXjNJJKqJ2EF", "archived_at": "2024-08-20T18:37:24.100435Z", "cancel_initiated_at": "2024-08-20T18:37:24.100435Z", "created_at": "2024-08-20T18:37:24.100435Z", "ended_at": "2024-08-20T18:37:24.100435Z", "expires_at": "2024-08-20T18:37:24.100435Z", "processing_status": "in_progress", "request_counts": { "canceled": 10, "errored": 30, "expired": 10, "processing": 100, "succeeded": 50 }, "results_url": "https://api.anthropic.com/v1/messages/batches/msgbatch_013Zva2CMHLNnXjNJJKqJ2EF/results", "type": "message_batch" } ``` ## List Message Batches `beta.messages.batches.list(BatchListParams**kwargs) -> SyncPage[BetaMessageBatch]` **get** `/v1/messages/batches` List all Message Batches within a Workspace. Most recently created batches are returned first. Learn more about the Message Batches API in our [user guide](https://docs.claude.com/en/docs/build-with-claude/batch-processing) ### Parameters - `after_id: Optional[str]` ID of the object to use as a cursor for pagination. When provided, returns the page of results immediately after this object. - `before_id: Optional[str]` ID of the object to use as a cursor for pagination. When provided, returns the page of results immediately before this object. - `limit: Optional[int]` Number of items to return per page. Defaults to `20`. Ranges from `1` to `1000`. - `betas: Optional[List[AnthropicBetaParam]]` Optional header to specify the beta version(s) you want to use. - `str` - `Literal["message-batches-2024-09-24", "prompt-caching-2024-07-31", "computer-use-2024-10-22", 23 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"` - `"thinking-token-count-2026-05-13"` ### Returns - `class BetaMessageBatch: …` - `id: str` Unique object identifier. The format and length of IDs may change over time. - `archived_at: Optional[datetime]` RFC 3339 datetime string representing the time at which the Message Batch was archived and its results became unavailable. - `cancel_initiated_at: Optional[datetime]` RFC 3339 datetime string representing the time at which cancellation was initiated for the Message Batch. Specified only if cancellation was initiated. - `created_at: datetime` RFC 3339 datetime string representing the time at which the Message Batch was created. - `ended_at: Optional[datetime]` RFC 3339 datetime string representing the time at which processing for the Message Batch ended. Specified only once processing ends. Processing ends when every request in a Message Batch has either succeeded, errored, canceled, or expired. - `expires_at: datetime` RFC 3339 datetime string representing the time at which the Message Batch will expire and end processing, which is 24 hours after creation. - `processing_status: Literal["in_progress", "canceling", "ended"]` Processing status of the Message Batch. - `"in_progress"` - `"canceling"` - `"ended"` - `request_counts: BetaMessageBatchRequestCounts` Tallies requests within the Message Batch, categorized by their status. Requests start as `processing` and move to one of the other statuses only once processing of the entire batch ends. The sum of all values always matches the total number of requests in the batch. - `canceled: int` Number of requests in the Message Batch that have been canceled. This is zero until processing of the entire Message Batch has ended. - `errored: int` Number of requests in the Message Batch that encountered an error. This is zero until processing of the entire Message Batch has ended. - `expired: int` Number of requests in the Message Batch that have expired. This is zero until processing of the entire Message Batch has ended. - `processing: int` Number of requests in the Message Batch that are processing. - `succeeded: int` Number of requests in the Message Batch that have completed successfully. This is zero until processing of the entire Message Batch has ended. - `results_url: Optional[str]` URL to a `.jsonl` file containing the results of the Message Batch requests. Specified only once processing ends. Results in the file are not guaranteed to be in the same order as requests. Use the `custom_id` field to match results to requests. - `type: Literal["message_batch"]` Object type. For Message Batches, this is always `"message_batch"`. - `"message_batch"` ### Example ```python import os from anthropic import Anthropic client = Anthropic( api_key=os.environ.get("ANTHROPIC_API_KEY"), # This is the default and can be omitted ) page = client.beta.messages.batches.list() page = page.data[0] print(page.id) ``` #### Response ```json { "data": [ { "id": "msgbatch_013Zva2CMHLNnXjNJJKqJ2EF", "archived_at": "2024-08-20T18:37:24.100435Z", "cancel_initiated_at": "2024-08-20T18:37:24.100435Z", "created_at": "2024-08-20T18:37:24.100435Z", "ended_at": "2024-08-20T18:37:24.100435Z", "expires_at": "2024-08-20T18:37:24.100435Z", "processing_status": "in_progress", "request_counts": { "canceled": 10, "errored": 30, "expired": 10, "processing": 100, "succeeded": 50 }, "results_url": "https://api.anthropic.com/v1/messages/batches/msgbatch_013Zva2CMHLNnXjNJJKqJ2EF/results", "type": "message_batch" } ], "first_id": "first_id", "has_more": true, "last_id": "last_id" } ``` ## Cancel a Message Batch `beta.messages.batches.cancel(strmessage_batch_id, BatchCancelParams**kwargs) -> BetaMessageBatch` **post** `/v1/messages/batches/{message_batch_id}/cancel` Batches may be canceled any time before processing ends. Once cancellation is initiated, the batch enters a `canceling` state, at which time the system may complete any in-progress, non-interruptible requests before finalizing cancellation. The number of canceled requests is specified in `request_counts`. To determine which requests were canceled, check the individual results within the batch. Note that cancellation may not result in any canceled requests if they were non-interruptible. Learn more about the Message Batches API in our [user guide](https://docs.claude.com/en/docs/build-with-claude/batch-processing) ### Parameters - `message_batch_id: str` ID of the Message Batch. - `betas: Optional[List[AnthropicBetaParam]]` Optional header to specify the beta version(s) you want to use. - `str` - `Literal["message-batches-2024-09-24", "prompt-caching-2024-07-31", "computer-use-2024-10-22", 23 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"` - `"thinking-token-count-2026-05-13"` ### Returns - `class BetaMessageBatch: …` - `id: str` Unique object identifier. The format and length of IDs may change over time. - `archived_at: Optional[datetime]` RFC 3339 datetime string representing the time at which the Message Batch was archived and its results became unavailable. - `cancel_initiated_at: Optional[datetime]` RFC 3339 datetime string representing the time at which cancellation was initiated for the Message Batch. Specified only if cancellation was initiated. - `created_at: datetime` RFC 3339 datetime string representing the time at which the Message Batch was created. - `ended_at: Optional[datetime]` RFC 3339 datetime string representing the time at which processing for the Message Batch ended. Specified only once processing ends. Processing ends when every request in a Message Batch has either succeeded, errored, canceled, or expired. - `expires_at: datetime` RFC 3339 datetime string representing the time at which the Message Batch will expire and end processing, which is 24 hours after creation. - `processing_status: Literal["in_progress", "canceling", "ended"]` Processing status of the Message Batch. - `"in_progress"` - `"canceling"` - `"ended"` - `request_counts: BetaMessageBatchRequestCounts` Tallies requests within the Message Batch, categorized by their status. Requests start as `processing` and move to one of the other statuses only once processing of the entire batch ends. The sum of all values always matches the total number of requests in the batch. - `canceled: int` Number of requests in the Message Batch that have been canceled. This is zero until processing of the entire Message Batch has ended. - `errored: int` Number of requests in the Message Batch that encountered an error. This is zero until processing of the entire Message Batch has ended. - `expired: int` Number of requests in the Message Batch that have expired. This is zero until processing of the entire Message Batch has ended. - `processing: int` Number of requests in the Message Batch that are processing. - `succeeded: int` Number of requests in the Message Batch that have completed successfully. This is zero until processing of the entire Message Batch has ended. - `results_url: Optional[str]` URL to a `.jsonl` file containing the results of the Message Batch requests. Specified only once processing ends. Results in the file are not guaranteed to be in the same order as requests. Use the `custom_id` field to match results to requests. - `type: Literal["message_batch"]` Object type. For Message Batches, this is always `"message_batch"`. - `"message_batch"` ### Example ```python import os from anthropic import Anthropic client = Anthropic( api_key=os.environ.get("ANTHROPIC_API_KEY"), # This is the default and can be omitted ) beta_message_batch = client.beta.messages.batches.cancel( message_batch_id="message_batch_id", ) print(beta_message_batch.id) ``` #### Response ```json { "id": "msgbatch_013Zva2CMHLNnXjNJJKqJ2EF", "archived_at": "2024-08-20T18:37:24.100435Z", "cancel_initiated_at": "2024-08-20T18:37:24.100435Z", "created_at": "2024-08-20T18:37:24.100435Z", "ended_at": "2024-08-20T18:37:24.100435Z", "expires_at": "2024-08-20T18:37:24.100435Z", "processing_status": "in_progress", "request_counts": { "canceled": 10, "errored": 30, "expired": 10, "processing": 100, "succeeded": 50 }, "results_url": "https://api.anthropic.com/v1/messages/batches/msgbatch_013Zva2CMHLNnXjNJJKqJ2EF/results", "type": "message_batch" } ``` ## Delete a Message Batch `beta.messages.batches.delete(strmessage_batch_id, BatchDeleteParams**kwargs) -> BetaDeletedMessageBatch` **delete** `/v1/messages/batches/{message_batch_id}` Delete a Message Batch. Message Batches can only be deleted once they've finished processing. If you'd like to delete an in-progress batch, you must first cancel it. Learn more about the Message Batches API in our [user guide](https://docs.claude.com/en/docs/build-with-claude/batch-processing) ### Parameters - `message_batch_id: str` ID of the Message Batch. - `betas: Optional[List[AnthropicBetaParam]]` Optional header to specify the beta version(s) you want to use. - `str` - `Literal["message-batches-2024-09-24", "prompt-caching-2024-07-31", "computer-use-2024-10-22", 23 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"` - `"thinking-token-count-2026-05-13"` ### Returns - `class BetaDeletedMessageBatch: …` - `id: str` ID of the Message Batch. - `type: Literal["message_batch_deleted"]` Deleted object type. For Message Batches, this is always `"message_batch_deleted"`. - `"message_batch_deleted"` ### Example ```python import os from anthropic import Anthropic client = Anthropic( api_key=os.environ.get("ANTHROPIC_API_KEY"), # This is the default and can be omitted ) beta_deleted_message_batch = client.beta.messages.batches.delete( message_batch_id="message_batch_id", ) print(beta_deleted_message_batch.id) ``` #### Response ```json { "id": "msgbatch_013Zva2CMHLNnXjNJJKqJ2EF", "type": "message_batch_deleted" } ``` ## Retrieve Message Batch results `beta.messages.batches.results(strmessage_batch_id, BatchResultsParams**kwargs) -> BetaMessageBatchIndividualResponse` **get** `/v1/messages/batches/{message_batch_id}/results` Streams the results of a Message Batch as a `.jsonl` file. Each line in the file is a JSON object containing the result of a single request in the Message Batch. Results are not guaranteed to be in the same order as requests. Use the `custom_id` field to match results to requests. Learn more about the Message Batches API in our [user guide](https://docs.claude.com/en/docs/build-with-claude/batch-processing) ### Parameters - `message_batch_id: str` ID of the Message Batch. - `betas: Optional[List[AnthropicBetaParam]]` Optional header to specify the beta version(s) you want to use. - `str` - `Literal["message-batches-2024-09-24", "prompt-caching-2024-07-31", "computer-use-2024-10-22", 23 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"` - `"thinking-token-count-2026-05-13"` ### Returns - `class BetaMessageBatchIndividualResponse: …` 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. - `result: BetaMessageBatchResult` 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. - `class BetaMessageBatchSucceededResult: …` - `message: BetaMessage` - `id: str` Unique object identifier. The format and length of IDs may change over time. - `container: Optional[BetaContainer]` Information about the container used in the request (for the code execution tool) - `id: str` Identifier for the container used in this request - `expires_at: datetime` The time at which the container will expire. - `skills: Optional[List[BetaSkill]]` Skills loaded in the container - `skill_id: str` Skill ID - `type: Literal["anthropic", "custom"]` Type of skill - either 'anthropic' (built-in) or 'custom' (user-defined) - `"anthropic"` - `"custom"` - `version: str` Skill version or 'latest' for most recent version - `content: List[BetaContentBlock]` Content generated by the model. This is an array of content blocks, each of which has a `type` that determines its shape. Example: ```json [{"type": "text", "text": "Hi, I'm Claude."}] ``` If the request input `messages` ended with an `assistant` turn, then the response `content` will continue directly from that last turn. You can use this to constrain the model's output. For example, if the input `messages` were: ```json [ {"role": "user", "content": "What's the Greek name for Sun? (A) Sol (B) Helios (C) Sun"}, {"role": "assistant", "content": "The best answer is ("} ] ``` Then the response `content` might be: ```json [{"type": "text", "text": "B)"}] ``` - `class BetaTextBlock: …` - `citations: Optional[List[BetaTextCitation]]` Citations supporting the text block. The type of citation returned will depend on the type of document being cited. Citing a PDF results in `page_location`, plain text results in `char_location`, and content document results in `content_block_location`. - `class BetaCitationCharLocation: …` - `cited_text: str` - `document_index: int` - `document_title: Optional[str]` - `end_char_index: int` - `file_id: Optional[str]` - `start_char_index: int` - `type: Literal["char_location"]` - `"char_location"` - `class BetaCitationPageLocation: …` - `cited_text: str` - `document_index: int` - `document_title: Optional[str]` - `end_page_number: int` - `file_id: Optional[str]` - `start_page_number: int` - `type: Literal["page_location"]` - `"page_location"` - `class BetaCitationContentBlockLocation: …` - `cited_text: str` The full text of the cited block range, concatenated. Always equals the contents of `content[start_block_index:end_block_index]` joined together. The text block is the minimal citable unit; this field is never a substring of a single block. Not counted toward output tokens, and not counted toward input tokens when sent back in subsequent turns. - `document_index: int` - `document_title: Optional[str]` - `end_block_index: int` Exclusive 0-based end index of the cited block range in the source's `content` array. Always greater than `start_block_index`; a single-block citation has `end_block_index = start_block_index + 1`. - `file_id: Optional[str]` - `start_block_index: int` 0-based index of the first cited block in the source's `content` array. - `type: Literal["content_block_location"]` - `"content_block_location"` - `class BetaCitationsWebSearchResultLocation: …` - `cited_text: str` - `encrypted_index: str` - `title: Optional[str]` - `type: Literal["web_search_result_location"]` - `"web_search_result_location"` - `url: str` - `class BetaCitationSearchResultLocation: …` - `cited_text: str` The full text of the cited block range, concatenated. Always equals the contents of `content[start_block_index:end_block_index]` joined together. The text block is the minimal citable unit; this field is never a substring of a single block. Not counted toward output tokens, and not counted toward input tokens when sent back in subsequent turns. - `end_block_index: int` Exclusive 0-based end index of the cited block range in the source's `content` array. Always greater than `start_block_index`; a single-block citation has `end_block_index = start_block_index + 1`. - `search_result_index: int` 0-based index of the cited search result among all `search_result` content blocks in the request, in the order they appear across messages and tool results. Counted separately from `document_index`; server-side web search results are not included in this count. - `source: str` - `start_block_index: int` 0-based index of the first cited block in the source's `content` array. - `title: Optional[str]` - `type: Literal["search_result_location"]` - `"search_result_location"` - `text: str` - `type: Literal["text"]` - `"text"` - `class BetaThinkingBlock: …` - `signature: str` - `thinking: str` - `type: Literal["thinking"]` - `"thinking"` - `class BetaRedactedThinkingBlock: …` - `data: str` - `type: Literal["redacted_thinking"]` - `"redacted_thinking"` - `class BetaToolUseBlock: …` - `id: str` - `input: Dict[str, object]` - `name: str` - `type: Literal["tool_use"]` - `"tool_use"` - `caller: Optional[Caller]` Tool invocation directly from the model. - `class BetaDirectCaller: …` Tool invocation directly from the model. - `type: Literal["direct"]` - `"direct"` - `class BetaServerToolCaller: …` Tool invocation generated by a server-side tool. - `tool_id: str` - `type: Literal["code_execution_20250825"]` - `"code_execution_20250825"` - `class BetaServerToolCaller20260120: …` - `tool_id: str` - `type: Literal["code_execution_20260120"]` - `"code_execution_20260120"` - `class BetaServerToolUseBlock: …` - `id: str` - `input: Dict[str, object]` - `name: Literal["advisor", "web_search", "web_fetch", 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: Literal["server_tool_use"]` - `"server_tool_use"` - `caller: Optional[Caller]` Tool invocation directly from the model. - `class BetaDirectCaller: …` Tool invocation directly from the model. - `class BetaServerToolCaller: …` Tool invocation generated by a server-side tool. - `class BetaServerToolCaller20260120: …` - `class BetaWebSearchToolResultBlock: …` - `content: BetaWebSearchToolResultBlockContent` - `class BetaWebSearchToolResultError: …` - `error_code: BetaWebSearchToolResultErrorCode` - `"invalid_tool_input"` - `"unavailable"` - `"max_uses_exceeded"` - `"too_many_requests"` - `"query_too_long"` - `"request_too_large"` - `type: Literal["web_search_tool_result_error"]` - `"web_search_tool_result_error"` - `List[BetaWebSearchResultBlock]` - `encrypted_content: str` - `page_age: Optional[str]` - `title: str` - `type: Literal["web_search_result"]` - `"web_search_result"` - `url: str` - `tool_use_id: str` - `type: Literal["web_search_tool_result"]` - `"web_search_tool_result"` - `caller: Optional[Caller]` Tool invocation directly from the model. - `class BetaDirectCaller: …` Tool invocation directly from the model. - `class BetaServerToolCaller: …` Tool invocation generated by a server-side tool. - `class BetaServerToolCaller20260120: …` - `class BetaWebFetchToolResultBlock: …` - `content: Content` - `class BetaWebFetchToolResultErrorBlock: …` - `error_code: BetaWebFetchToolResultErrorCode` - `"invalid_tool_input"` - `"url_too_long"` - `"url_not_allowed"` - `"url_not_in_prior_context"` - `"url_not_accessible"` - `"unsupported_content_type"` - `"too_many_requests"` - `"max_uses_exceeded"` - `"unavailable"` - `type: Literal["web_fetch_tool_result_error"]` - `"web_fetch_tool_result_error"` - `class BetaWebFetchBlock: …` - `content: BetaDocumentBlock` - `citations: Optional[BetaCitationConfig]` Citation configuration for the document - `enabled: bool` - `source: Source` - `class BetaBase64PDFSource: …` - `data: str` - `media_type: Literal["application/pdf"]` - `"application/pdf"` - `type: Literal["base64"]` - `"base64"` - `class BetaPlainTextSource: …` - `data: str` - `media_type: Literal["text/plain"]` - `"text/plain"` - `type: Literal["text"]` - `"text"` - `title: Optional[str]` The title of the document - `type: Literal["document"]` - `"document"` - `retrieved_at: Optional[str]` ISO 8601 timestamp when the content was retrieved - `type: Literal["web_fetch_result"]` - `"web_fetch_result"` - `url: str` Fetched content URL - `tool_use_id: str` - `type: Literal["web_fetch_tool_result"]` - `"web_fetch_tool_result"` - `caller: Optional[Caller]` Tool invocation directly from the model. - `class BetaDirectCaller: …` Tool invocation directly from the model. - `class BetaServerToolCaller: …` Tool invocation generated by a server-side tool. - `class BetaServerToolCaller20260120: …` - `class BetaAdvisorToolResultBlock: …` - `content: Content` - `class BetaAdvisorToolResultError: …` - `error_code: Literal["max_uses_exceeded", "prompt_too_long", "too_many_requests", 3 more]` - `"max_uses_exceeded"` - `"prompt_too_long"` - `"too_many_requests"` - `"overloaded"` - `"unavailable"` - `"execution_time_exceeded"` - `type: Literal["advisor_tool_result_error"]` - `"advisor_tool_result_error"` - `class BetaAdvisorResultBlock: …` - `stop_reason: Optional[str]` The advisor sub-inference's stop reason (same values as the top-level message `stop_reason`). `max_tokens` indicates the advisor's output was truncated at the tool's `max_tokens` value or the advisor model's policy cap. - `text: str` - `type: Literal["advisor_result"]` - `"advisor_result"` - `class BetaAdvisorRedactedResultBlock: …` - `encrypted_content: str` Opaque blob containing the advisor's output. Round-trip verbatim; do not inspect or modify. - `stop_reason: Optional[str]` The advisor sub-inference's stop reason (same values as the top-level message `stop_reason`). - `type: Literal["advisor_redacted_result"]` - `"advisor_redacted_result"` - `tool_use_id: str` - `type: Literal["advisor_tool_result"]` - `"advisor_tool_result"` - `class BetaCodeExecutionToolResultBlock: …` - `content: BetaCodeExecutionToolResultBlockContent` Code execution result with encrypted stdout for PFC + web_search results. - `class BetaCodeExecutionToolResultError: …` - `error_code: BetaCodeExecutionToolResultErrorCode` - `"invalid_tool_input"` - `"unavailable"` - `"too_many_requests"` - `"execution_time_exceeded"` - `type: Literal["code_execution_tool_result_error"]` - `"code_execution_tool_result_error"` - `class BetaCodeExecutionResultBlock: …` - `content: List[BetaCodeExecutionOutputBlock]` - `file_id: str` - `type: Literal["code_execution_output"]` - `"code_execution_output"` - `return_code: int` - `stderr: str` - `stdout: str` - `type: Literal["code_execution_result"]` - `"code_execution_result"` - `class BetaEncryptedCodeExecutionResultBlock: …` Code execution result with encrypted stdout for PFC + web_search results. - `content: List[BetaCodeExecutionOutputBlock]` - `file_id: str` - `type: Literal["code_execution_output"]` - `encrypted_stdout: str` - `return_code: int` - `stderr: str` - `type: Literal["encrypted_code_execution_result"]` - `"encrypted_code_execution_result"` - `tool_use_id: str` - `type: Literal["code_execution_tool_result"]` - `"code_execution_tool_result"` - `class BetaBashCodeExecutionToolResultBlock: …` - `content: Content` - `class BetaBashCodeExecutionToolResultError: …` - `error_code: Literal["invalid_tool_input", "unavailable", "too_many_requests", 2 more]` - `"invalid_tool_input"` - `"unavailable"` - `"too_many_requests"` - `"execution_time_exceeded"` - `"output_file_too_large"` - `type: Literal["bash_code_execution_tool_result_error"]` - `"bash_code_execution_tool_result_error"` - `class BetaBashCodeExecutionResultBlock: …` - `content: List[BetaBashCodeExecutionOutputBlock]` - `file_id: str` - `type: Literal["bash_code_execution_output"]` - `"bash_code_execution_output"` - `return_code: int` - `stderr: str` - `stdout: str` - `type: Literal["bash_code_execution_result"]` - `"bash_code_execution_result"` - `tool_use_id: str` - `type: Literal["bash_code_execution_tool_result"]` - `"bash_code_execution_tool_result"` - `class BetaTextEditorCodeExecutionToolResultBlock: …` - `content: Content` - `class BetaTextEditorCodeExecutionToolResultError: …` - `error_code: Literal["invalid_tool_input", "unavailable", "too_many_requests", 2 more]` - `"invalid_tool_input"` - `"unavailable"` - `"too_many_requests"` - `"execution_time_exceeded"` - `"file_not_found"` - `error_message: Optional[str]` - `type: Literal["text_editor_code_execution_tool_result_error"]` - `"text_editor_code_execution_tool_result_error"` - `class BetaTextEditorCodeExecutionViewResultBlock: …` - `content: str` - `file_type: Literal["text", "image", "pdf"]` - `"text"` - `"image"` - `"pdf"` - `num_lines: Optional[int]` - `start_line: Optional[int]` - `total_lines: Optional[int]` - `type: Literal["text_editor_code_execution_view_result"]` - `"text_editor_code_execution_view_result"` - `class BetaTextEditorCodeExecutionCreateResultBlock: …` - `is_file_update: bool` - `type: Literal["text_editor_code_execution_create_result"]` - `"text_editor_code_execution_create_result"` - `class BetaTextEditorCodeExecutionStrReplaceResultBlock: …` - `lines: Optional[List[str]]` - `new_lines: Optional[int]` - `new_start: Optional[int]` - `old_lines: Optional[int]` - `old_start: Optional[int]` - `type: Literal["text_editor_code_execution_str_replace_result"]` - `"text_editor_code_execution_str_replace_result"` - `tool_use_id: str` - `type: Literal["text_editor_code_execution_tool_result"]` - `"text_editor_code_execution_tool_result"` - `class BetaToolSearchToolResultBlock: …` - `content: Content` - `class BetaToolSearchToolResultError: …` - `error_code: Literal["invalid_tool_input", "unavailable", "too_many_requests", "execution_time_exceeded"]` - `"invalid_tool_input"` - `"unavailable"` - `"too_many_requests"` - `"execution_time_exceeded"` - `error_message: Optional[str]` - `type: Literal["tool_search_tool_result_error"]` - `"tool_search_tool_result_error"` - `class BetaToolSearchToolSearchResultBlock: …` - `tool_references: List[BetaToolReferenceBlock]` - `tool_name: str` - `type: Literal["tool_reference"]` - `"tool_reference"` - `type: Literal["tool_search_tool_search_result"]` - `"tool_search_tool_search_result"` - `tool_use_id: str` - `type: Literal["tool_search_tool_result"]` - `"tool_search_tool_result"` - `class BetaMCPToolUseBlock: …` - `id: str` - `input: Dict[str, object]` - `name: str` The name of the MCP tool - `server_name: str` The name of the MCP server - `type: Literal["mcp_tool_use"]` - `"mcp_tool_use"` - `class BetaMCPToolResultBlock: …` - `content: Union[str, List[BetaTextBlock]]` - `str` - `List[BetaTextBlock]` - `citations: Optional[List[BetaTextCitation]]` Citations supporting the text block. The type of citation returned will depend on the type of document being cited. Citing a PDF results in `page_location`, plain text results in `char_location`, and content document results in `content_block_location`. - `text: str` - `type: Literal["text"]` - `is_error: bool` - `tool_use_id: str` - `type: Literal["mcp_tool_result"]` - `"mcp_tool_result"` - `class BetaContainerUploadBlock: …` Response model for a file uploaded to the container. - `file_id: str` - `type: Literal["container_upload"]` - `"container_upload"` - `class BetaCompactionBlock: …` 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: Optional[str]` Summary of compacted content, or null if compaction failed - `encrypted_content: Optional[str]` Opaque metadata from prior compaction, to be round-tripped verbatim - `type: Literal["compaction"]` - `"compaction"` - `context_management: Optional[BetaContextManagementResponse]` Context management response. Information about context management strategies applied during the request. - `applied_edits: List[AppliedEdit]` List of context management edits that were applied. - `class BetaClearToolUses20250919EditResponse: …` - `cleared_input_tokens: int` Number of input tokens cleared by this edit. - `cleared_tool_uses: int` Number of tool uses that were cleared. - `type: Literal["clear_tool_uses_20250919"]` The type of context management edit applied. - `"clear_tool_uses_20250919"` - `class BetaClearThinking20251015EditResponse: …` - `cleared_input_tokens: int` Number of input tokens cleared by this edit. - `cleared_thinking_turns: int` Number of thinking turns that were cleared. - `type: Literal["clear_thinking_20251015"]` The type of context management edit applied. - `"clear_thinking_20251015"` - `diagnostics: Optional[BetaDiagnostics]` Response envelope for request-level diagnostics. Present (possibly null) whenever the caller supplied `diagnostics` on the request. - `cache_miss_reason: Optional[CacheMissReason]` Explains why the prompt cache could not fully reuse the prefix from the request identified by `diagnostics.previous_message_id`. `null` means diagnosis is still pending — the response was serialized before the background comparison completed. - `class BetaCacheMissModelChanged: …` - `cache_missed_input_tokens: int` Approximate number of input tokens that would have been read from cache had the prefix matched the previous request. - `type: Literal["model_changed"]` - `"model_changed"` - `class BetaCacheMissSystemChanged: …` - `cache_missed_input_tokens: int` Approximate number of input tokens that would have been read from cache had the prefix matched the previous request. - `type: Literal["system_changed"]` - `"system_changed"` - `class BetaCacheMissToolsChanged: …` - `cache_missed_input_tokens: int` Approximate number of input tokens that would have been read from cache had the prefix matched the previous request. - `type: Literal["tools_changed"]` - `"tools_changed"` - `class BetaCacheMissMessagesChanged: …` - `cache_missed_input_tokens: int` Approximate number of input tokens that would have been read from cache had the prefix matched the previous request. - `type: Literal["messages_changed"]` - `"messages_changed"` - `class BetaCacheMissPreviousMessageNotFound: …` - `type: Literal["previous_message_not_found"]` - `"previous_message_not_found"` - `class BetaCacheMissUnavailable: …` - `type: Literal["unavailable"]` - `"unavailable"` - `model: Model` The model that will complete your prompt. See [models](https://docs.anthropic.com/en/docs/models-overview) for additional details and options. - `Literal["claude-opus-4-8", "claude-opus-4-7", "claude-mythos-preview", 15 more]` The model that will complete your prompt. See [models](https://docs.anthropic.com/en/docs/models-overview) for additional details and options. - `claude-opus-4-8` - Frontier intelligence for long-running agents and coding - `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` - Deprecated: Will reach end-of-life on June 15th, 2026. Please migrate to a newer model. Visit https://docs.anthropic.com/en/docs/resources/model-deprecations for more information. - `claude-opus-4-20250514` - Deprecated: Will reach end-of-life on June 15th, 2026. Please migrate to a newer model. Visit https://docs.anthropic.com/en/docs/resources/model-deprecations for more information. - `claude-sonnet-4-0` - Deprecated: Will reach end-of-life on June 15th, 2026. Please migrate to a newer model. Visit https://docs.anthropic.com/en/docs/resources/model-deprecations for more information. - `claude-sonnet-4-20250514` - Deprecated: Will reach end-of-life on June 15th, 2026. Please migrate to a newer model. Visit https://docs.anthropic.com/en/docs/resources/model-deprecations for more information. - `claude-3-haiku-20240307` - Deprecated: Will reach end-of-life on April 20th, 2026. Please migrate to claude-haiku-4-5. Visit https://docs.anthropic.com/en/docs/resources/model-deprecations for more information. - `"claude-opus-4-8"` Frontier intelligence for long-running agents and coding - `"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 - `str` - `role: Literal["assistant"]` Conversational role of the generated message. This will always be `"assistant"`. - `"assistant"` - `stop_details: Optional[BetaRefusalStopDetails]` Structured information about a refusal. - `category: Optional[Literal["cyber", "bio"]]` The policy category that triggered the refusal. `null` when the refusal doesn't map to a named category. - `"cyber"` - `"bio"` - `explanation: Optional[str]` Human-readable explanation of the refusal. This text is not guaranteed to be stable. `null` when no explanation is available for the category. - `type: Literal["refusal"]` - `"refusal"` - `stop_reason: Optional[BetaStopReason]` The reason that we stopped. This may be one the following values: * `"end_turn"`: the model reached a natural stopping point * `"max_tokens"`: we exceeded the requested `max_tokens` or the model's maximum * `"stop_sequence"`: one of your provided custom `stop_sequences` was 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_start` event and non-null otherwise. - `"end_turn"` - `"max_tokens"` - `"stop_sequence"` - `"tool_use"` - `"pause_turn"` - `"compaction"` - `"refusal"` - `"model_context_window_exceeded"` - `stop_sequence: Optional[str]` Which 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: Literal["message"]` Object type. For Messages, this is always `"message"`. - `"message"` - `usage: BetaUsage` Billing 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 `usage` will not match one-to-one with the exact visible content of an API request or response. For example, `output_tokens` will 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`, and `cache_read_input_tokens`. - `cache_creation: Optional[BetaCacheCreation]` Breakdown of cached tokens by TTL - `ephemeral_1h_input_tokens: int` The number of input tokens used to create the 1 hour cache entry. - `ephemeral_5m_input_tokens: int` The number of input tokens used to create the 5 minute cache entry. - `cache_creation_input_tokens: Optional[int]` The number of input tokens used to create the cache entry. - `cache_read_input_tokens: Optional[int]` The number of input tokens read from the cache. - `inference_geo: Optional[str]` The geographic region where inference was performed for this request. - `input_tokens: int` The number of input tokens which were used. - `iterations: Optional[BetaIterationsUsage]` Per-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 - `class BetaMessageIterationUsage: …` Token usage for a sampling iteration. - `cache_creation: Optional[BetaCacheCreation]` Breakdown of cached tokens by TTL - `cache_creation_input_tokens: int` The number of input tokens used to create the cache entry. - `cache_read_input_tokens: int` The number of input tokens read from the cache. - `input_tokens: int` The number of input tokens which were used. - `output_tokens: int` The number of output tokens which were used. - `type: Literal["message"]` Usage for a sampling iteration - `"message"` - `class BetaCompactionIterationUsage: …` Token usage for a compaction iteration. - `cache_creation: Optional[BetaCacheCreation]` Breakdown of cached tokens by TTL - `cache_creation_input_tokens: int` The number of input tokens used to create the cache entry. - `cache_read_input_tokens: int` The number of input tokens read from the cache. - `input_tokens: int` The number of input tokens which were used. - `output_tokens: int` The number of output tokens which were used. - `type: Literal["compaction"]` Usage for a compaction iteration - `"compaction"` - `class BetaAdvisorMessageIterationUsage: …` Token usage for an advisor sub-inference iteration. - `cache_creation: Optional[BetaCacheCreation]` Breakdown of cached tokens by TTL - `cache_creation_input_tokens: int` The number of input tokens used to create the cache entry. - `cache_read_input_tokens: int` The number of input tokens read from the cache. - `input_tokens: int` The number of input tokens which were used. - `model: Model` The model that will complete your prompt. See [models](https://docs.anthropic.com/en/docs/models-overview) for additional details and options. - `output_tokens: int` The number of output tokens which were used. - `type: Literal["advisor_message"]` Usage for an advisor sub-inference iteration - `"advisor_message"` - `output_tokens: int` The number of output tokens which were used. - `output_tokens_details: Optional[BetaOutputTokensDetails]` Breakdown of output tokens by category. `output_tokens` remains the inclusive, authoritative total used for billing. This object provides a read-only decomposition for observability — for example, how many of the billed output tokens were spent on internal reasoning that may have been summarized before being returned to you. - `thinking_tokens: int` Number of output tokens the model generated as internal reasoning, including the thinking-block delimiter tokens. Reflects the raw reasoning the model produced, not the (possibly shorter) summarized thinking text returned in the response body. Computed by re-tokenizing the raw reasoning text, so it may differ from the model's exact generation count by a small number of tokens. Always ≤ `output_tokens`; `output_tokens - thinking_tokens` approximates the non-reasoning output. - `server_tool_use: Optional[BetaServerToolUsage]` The number of server tool requests. - `web_fetch_requests: int` The number of web fetch tool requests. - `web_search_requests: int` The number of web search tool requests. - `service_tier: Optional[Literal["standard", "priority", "batch"]]` If the request used the priority, standard, or batch tier. - `"standard"` - `"priority"` - `"batch"` - `speed: Optional[Literal["standard", "fast"]]` The inference speed mode used for this request. - `"standard"` - `"fast"` - `type: Literal["succeeded"]` - `"succeeded"` - `class BetaMessageBatchErroredResult: …` - `error: BetaErrorResponse` - `error: BetaError` - `class BetaInvalidRequestError: …` - `message: str` - `type: Literal["invalid_request_error"]` - `"invalid_request_error"` - `class BetaAuthenticationError: …` - `message: str` - `type: Literal["authentication_error"]` - `"authentication_error"` - `class BetaBillingError: …` - `message: str` - `type: Literal["billing_error"]` - `"billing_error"` - `class BetaPermissionError: …` - `message: str` - `type: Literal["permission_error"]` - `"permission_error"` - `class BetaNotFoundError: …` - `message: str` - `type: Literal["not_found_error"]` - `"not_found_error"` - `class BetaRateLimitError: …` - `message: str` - `type: Literal["rate_limit_error"]` - `"rate_limit_error"` - `class BetaGatewayTimeoutError: …` - `message: str` - `type: Literal["timeout_error"]` - `"timeout_error"` - `class BetaAPIError: …` - `message: str` - `type: Literal["api_error"]` - `"api_error"` - `class BetaOverloadedError: …` - `message: str` - `type: Literal["overloaded_error"]` - `"overloaded_error"` - `request_id: Optional[str]` - `type: Literal["error"]` - `"error"` - `type: Literal["errored"]` - `"errored"` - `class BetaMessageBatchCanceledResult: …` - `type: Literal["canceled"]` - `"canceled"` - `class BetaMessageBatchExpiredResult: …` - `type: Literal["expired"]` - `"expired"` ### Example ```python 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) ``` ## Domain Types ### Beta Deleted Message Batch - `class BetaDeletedMessageBatch: …` - `id: str` ID of the Message Batch. - `type: Literal["message_batch_deleted"]` Deleted object type. For Message Batches, this is always `"message_batch_deleted"`. - `"message_batch_deleted"` ### Beta Message Batch - `class BetaMessageBatch: …` - `id: str` Unique object identifier. The format and length of IDs may change over time. - `archived_at: Optional[datetime]` RFC 3339 datetime string representing the time at which the Message Batch was archived and its results became unavailable. - `cancel_initiated_at: Optional[datetime]` RFC 3339 datetime string representing the time at which cancellation was initiated for the Message Batch. Specified only if cancellation was initiated. - `created_at: datetime` RFC 3339 datetime string representing the time at which the Message Batch was created. - `ended_at: Optional[datetime]` RFC 3339 datetime string representing the time at which processing for the Message Batch ended. Specified only once processing ends. Processing ends when every request in a Message Batch has either succeeded, errored, canceled, or expired. - `expires_at: datetime` RFC 3339 datetime string representing the time at which the Message Batch will expire and end processing, which is 24 hours after creation. - `processing_status: Literal["in_progress", "canceling", "ended"]` Processing status of the Message Batch. - `"in_progress"` - `"canceling"` - `"ended"` - `request_counts: BetaMessageBatchRequestCounts` Tallies requests within the Message Batch, categorized by their status. Requests start as `processing` and move to one of the other statuses only once processing of the entire batch ends. The sum of all values always matches the total number of requests in the batch. - `canceled: int` Number of requests in the Message Batch that have been canceled. This is zero until processing of the entire Message Batch has ended. - `errored: int` Number of requests in the Message Batch that encountered an error. This is zero until processing of the entire Message Batch has ended. - `expired: int` Number of requests in the Message Batch that have expired. This is zero until processing of the entire Message Batch has ended. - `processing: int` Number of requests in the Message Batch that are processing. - `succeeded: int` Number of requests in the Message Batch that have completed successfully. This is zero until processing of the entire Message Batch has ended. - `results_url: Optional[str]` URL to a `.jsonl` file containing the results of the Message Batch requests. Specified only once processing ends. Results in the file are not guaranteed to be in the same order as requests. Use the `custom_id` field to match results to requests. - `type: Literal["message_batch"]` Object type. For Message Batches, this is always `"message_batch"`. - `"message_batch"` ### Beta Message Batch Canceled Result - `class BetaMessageBatchCanceledResult: …` - `type: Literal["canceled"]` - `"canceled"` ### Beta Message Batch Errored Result - `class BetaMessageBatchErroredResult: …` - `error: BetaErrorResponse` - `error: BetaError` - `class BetaInvalidRequestError: …` - `message: str` - `type: Literal["invalid_request_error"]` - `"invalid_request_error"` - `class BetaAuthenticationError: …` - `message: str` - `type: Literal["authentication_error"]` - `"authentication_error"` - `class BetaBillingError: …` - `message: str` - `type: Literal["billing_error"]` - `"billing_error"` - `class BetaPermissionError: …` - `message: str` - `type: Literal["permission_error"]` - `"permission_error"` - `class BetaNotFoundError: …` - `message: str` - `type: Literal["not_found_error"]` - `"not_found_error"` - `class BetaRateLimitError: …` - `message: str` - `type: Literal["rate_limit_error"]` - `"rate_limit_error"` - `class BetaGatewayTimeoutError: …` - `message: str` - `type: Literal["timeout_error"]` - `"timeout_error"` - `class BetaAPIError: …` - `message: str` - `type: Literal["api_error"]` - `"api_error"` - `class BetaOverloadedError: …` - `message: str` - `type: Literal["overloaded_error"]` - `"overloaded_error"` - `request_id: Optional[str]` - `type: Literal["error"]` - `"error"` - `type: Literal["errored"]` - `"errored"` ### Beta Message Batch Expired Result - `class BetaMessageBatchExpiredResult: …` - `type: Literal["expired"]` - `"expired"` ### Beta Message Batch Individual Response - `class BetaMessageBatchIndividualResponse: …` 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. - `result: BetaMessageBatchResult` 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. - `class BetaMessageBatchSucceededResult: …` - `message: BetaMessage` - `id: str` Unique object identifier. The format and length of IDs may change over time. - `container: Optional[BetaContainer]` Information about the container used in the request (for the code execution tool) - `id: str` Identifier for the container used in this request - `expires_at: datetime` The time at which the container will expire. - `skills: Optional[List[BetaSkill]]` Skills loaded in the container - `skill_id: str` Skill ID - `type: Literal["anthropic", "custom"]` Type of skill - either 'anthropic' (built-in) or 'custom' (user-defined) - `"anthropic"` - `"custom"` - `version: str` Skill version or 'latest' for most recent version - `content: List[BetaContentBlock]` Content generated by the model. This is an array of content blocks, each of which has a `type` that determines its shape. Example: ```json [{"type": "text", "text": "Hi, I'm Claude."}] ``` If the request input `messages` ended with an `assistant` turn, then the response `content` will continue directly from that last turn. You can use this to constrain the model's output. For example, if the input `messages` were: ```json [ {"role": "user", "content": "What's the Greek name for Sun? (A) Sol (B) Helios (C) Sun"}, {"role": "assistant", "content": "The best answer is ("} ] ``` Then the response `content` might be: ```json [{"type": "text", "text": "B)"}] ``` - `class BetaTextBlock: …` - `citations: Optional[List[BetaTextCitation]]` Citations supporting the text block. The type of citation returned will depend on the type of document being cited. Citing a PDF results in `page_location`, plain text results in `char_location`, and content document results in `content_block_location`. - `class BetaCitationCharLocation: …` - `cited_text: str` - `document_index: int` - `document_title: Optional[str]` - `end_char_index: int` - `file_id: Optional[str]` - `start_char_index: int` - `type: Literal["char_location"]` - `"char_location"` - `class BetaCitationPageLocation: …` - `cited_text: str` - `document_index: int` - `document_title: Optional[str]` - `end_page_number: int` - `file_id: Optional[str]` - `start_page_number: int` - `type: Literal["page_location"]` - `"page_location"` - `class BetaCitationContentBlockLocation: …` - `cited_text: str` The full text of the cited block range, concatenated. Always equals the contents of `content[start_block_index:end_block_index]` joined together. The text block is the minimal citable unit; this field is never a substring of a single block. Not counted toward output tokens, and not counted toward input tokens when sent back in subsequent turns. - `document_index: int` - `document_title: Optional[str]` - `end_block_index: int` Exclusive 0-based end index of the cited block range in the source's `content` array. Always greater than `start_block_index`; a single-block citation has `end_block_index = start_block_index + 1`. - `file_id: Optional[str]` - `start_block_index: int` 0-based index of the first cited block in the source's `content` array. - `type: Literal["content_block_location"]` - `"content_block_location"` - `class BetaCitationsWebSearchResultLocation: …` - `cited_text: str` - `encrypted_index: str` - `title: Optional[str]` - `type: Literal["web_search_result_location"]` - `"web_search_result_location"` - `url: str` - `class BetaCitationSearchResultLocation: …` - `cited_text: str` The full text of the cited block range, concatenated. Always equals the contents of `content[start_block_index:end_block_index]` joined together. The text block is the minimal citable unit; this field is never a substring of a single block. Not counted toward output tokens, and not counted toward input tokens when sent back in subsequent turns. - `end_block_index: int` Exclusive 0-based end index of the cited block range in the source's `content` array. Always greater than `start_block_index`; a single-block citation has `end_block_index = start_block_index + 1`. - `search_result_index: int` 0-based index of the cited search result among all `search_result` content blocks in the request, in the order they appear across messages and tool results. Counted separately from `document_index`; server-side web search results are not included in this count. - `source: str` - `start_block_index: int` 0-based index of the first cited block in the source's `content` array. - `title: Optional[str]` - `type: Literal["search_result_location"]` - `"search_result_location"` - `text: str` - `type: Literal["text"]` - `"text"` - `class BetaThinkingBlock: …` - `signature: str` - `thinking: str` - `type: Literal["thinking"]` - `"thinking"` - `class BetaRedactedThinkingBlock: …` - `data: str` - `type: Literal["redacted_thinking"]` - `"redacted_thinking"` - `class BetaToolUseBlock: …` - `id: str` - `input: Dict[str, object]` - `name: str` - `type: Literal["tool_use"]` - `"tool_use"` - `caller: Optional[Caller]` Tool invocation directly from the model. - `class BetaDirectCaller: …` Tool invocation directly from the model. - `type: Literal["direct"]` - `"direct"` - `class BetaServerToolCaller: …` Tool invocation generated by a server-side tool. - `tool_id: str` - `type: Literal["code_execution_20250825"]` - `"code_execution_20250825"` - `class BetaServerToolCaller20260120: …` - `tool_id: str` - `type: Literal["code_execution_20260120"]` - `"code_execution_20260120"` - `class BetaServerToolUseBlock: …` - `id: str` - `input: Dict[str, object]` - `name: Literal["advisor", "web_search", "web_fetch", 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: Literal["server_tool_use"]` - `"server_tool_use"` - `caller: Optional[Caller]` Tool invocation directly from the model. - `class BetaDirectCaller: …` Tool invocation directly from the model. - `class BetaServerToolCaller: …` Tool invocation generated by a server-side tool. - `class BetaServerToolCaller20260120: …` - `class BetaWebSearchToolResultBlock: …` - `content: BetaWebSearchToolResultBlockContent` - `class BetaWebSearchToolResultError: …` - `error_code: BetaWebSearchToolResultErrorCode` - `"invalid_tool_input"` - `"unavailable"` - `"max_uses_exceeded"` - `"too_many_requests"` - `"query_too_long"` - `"request_too_large"` - `type: Literal["web_search_tool_result_error"]` - `"web_search_tool_result_error"` - `List[BetaWebSearchResultBlock]` - `encrypted_content: str` - `page_age: Optional[str]` - `title: str` - `type: Literal["web_search_result"]` - `"web_search_result"` - `url: str` - `tool_use_id: str` - `type: Literal["web_search_tool_result"]` - `"web_search_tool_result"` - `caller: Optional[Caller]` Tool invocation directly from the model. - `class BetaDirectCaller: …` Tool invocation directly from the model. - `class BetaServerToolCaller: …` Tool invocation generated by a server-side tool. - `class BetaServerToolCaller20260120: …` - `class BetaWebFetchToolResultBlock: …` - `content: Content` - `class BetaWebFetchToolResultErrorBlock: …` - `error_code: BetaWebFetchToolResultErrorCode` - `"invalid_tool_input"` - `"url_too_long"` - `"url_not_allowed"` - `"url_not_in_prior_context"` - `"url_not_accessible"` - `"unsupported_content_type"` - `"too_many_requests"` - `"max_uses_exceeded"` - `"unavailable"` - `type: Literal["web_fetch_tool_result_error"]` - `"web_fetch_tool_result_error"` - `class BetaWebFetchBlock: …` - `content: BetaDocumentBlock` - `citations: Optional[BetaCitationConfig]` Citation configuration for the document - `enabled: bool` - `source: Source` - `class BetaBase64PDFSource: …` - `data: str` - `media_type: Literal["application/pdf"]` - `"application/pdf"` - `type: Literal["base64"]` - `"base64"` - `class BetaPlainTextSource: …` - `data: str` - `media_type: Literal["text/plain"]` - `"text/plain"` - `type: Literal["text"]` - `"text"` - `title: Optional[str]` The title of the document - `type: Literal["document"]` - `"document"` - `retrieved_at: Optional[str]` ISO 8601 timestamp when the content was retrieved - `type: Literal["web_fetch_result"]` - `"web_fetch_result"` - `url: str` Fetched content URL - `tool_use_id: str` - `type: Literal["web_fetch_tool_result"]` - `"web_fetch_tool_result"` - `caller: Optional[Caller]` Tool invocation directly from the model. - `class BetaDirectCaller: …` Tool invocation directly from the model. - `class BetaServerToolCaller: …` Tool invocation generated by a server-side tool. - `class BetaServerToolCaller20260120: …` - `class BetaAdvisorToolResultBlock: …` - `content: Content` - `class BetaAdvisorToolResultError: …` - `error_code: Literal["max_uses_exceeded", "prompt_too_long", "too_many_requests", 3 more]` - `"max_uses_exceeded"` - `"prompt_too_long"` - `"too_many_requests"` - `"overloaded"` - `"unavailable"` - `"execution_time_exceeded"` - `type: Literal["advisor_tool_result_error"]` - `"advisor_tool_result_error"` - `class BetaAdvisorResultBlock: …` - `stop_reason: Optional[str]` The advisor sub-inference's stop reason (same values as the top-level message `stop_reason`). `max_tokens` indicates the advisor's output was truncated at the tool's `max_tokens` value or the advisor model's policy cap. - `text: str` - `type: Literal["advisor_result"]` - `"advisor_result"` - `class BetaAdvisorRedactedResultBlock: …` - `encrypted_content: str` Opaque blob containing the advisor's output. Round-trip verbatim; do not inspect or modify. - `stop_reason: Optional[str]` The advisor sub-inference's stop reason (same values as the top-level message `stop_reason`). - `type: Literal["advisor_redacted_result"]` - `"advisor_redacted_result"` - `tool_use_id: str` - `type: Literal["advisor_tool_result"]` - `"advisor_tool_result"` - `class BetaCodeExecutionToolResultBlock: …` - `content: BetaCodeExecutionToolResultBlockContent` Code execution result with encrypted stdout for PFC + web_search results. - `class BetaCodeExecutionToolResultError: …` - `error_code: BetaCodeExecutionToolResultErrorCode` - `"invalid_tool_input"` - `"unavailable"` - `"too_many_requests"` - `"execution_time_exceeded"` - `type: Literal["code_execution_tool_result_error"]` - `"code_execution_tool_result_error"` - `class BetaCodeExecutionResultBlock: …` - `content: List[BetaCodeExecutionOutputBlock]` - `file_id: str` - `type: Literal["code_execution_output"]` - `"code_execution_output"` - `return_code: int` - `stderr: str` - `stdout: str` - `type: Literal["code_execution_result"]` - `"code_execution_result"` - `class BetaEncryptedCodeExecutionResultBlock: …` Code execution result with encrypted stdout for PFC + web_search results. - `content: List[BetaCodeExecutionOutputBlock]` - `file_id: str` - `type: Literal["code_execution_output"]` - `encrypted_stdout: str` - `return_code: int` - `stderr: str` - `type: Literal["encrypted_code_execution_result"]` - `"encrypted_code_execution_result"` - `tool_use_id: str` - `type: Literal["code_execution_tool_result"]` - `"code_execution_tool_result"` - `class BetaBashCodeExecutionToolResultBlock: …` - `content: Content` - `class BetaBashCodeExecutionToolResultError: …` - `error_code: Literal["invalid_tool_input", "unavailable", "too_many_requests", 2 more]` - `"invalid_tool_input"` - `"unavailable"` - `"too_many_requests"` - `"execution_time_exceeded"` - `"output_file_too_large"` - `type: Literal["bash_code_execution_tool_result_error"]` - `"bash_code_execution_tool_result_error"` - `class BetaBashCodeExecutionResultBlock: …` - `content: List[BetaBashCodeExecutionOutputBlock]` - `file_id: str` - `type: Literal["bash_code_execution_output"]` - `"bash_code_execution_output"` - `return_code: int` - `stderr: str` - `stdout: str` - `type: Literal["bash_code_execution_result"]` - `"bash_code_execution_result"` - `tool_use_id: str` - `type: Literal["bash_code_execution_tool_result"]` - `"bash_code_execution_tool_result"` - `class BetaTextEditorCodeExecutionToolResultBlock: …` - `content: Content` - `class BetaTextEditorCodeExecutionToolResultError: …` - `error_code: Literal["invalid_tool_input", "unavailable", "too_many_requests", 2 more]` - `"invalid_tool_input"` - `"unavailable"` - `"too_many_requests"` - `"execution_time_exceeded"` - `"file_not_found"` - `error_message: Optional[str]` - `type: Literal["text_editor_code_execution_tool_result_error"]` - `"text_editor_code_execution_tool_result_error"` - `class BetaTextEditorCodeExecutionViewResultBlock: …` - `content: str` - `file_type: Literal["text", "image", "pdf"]` - `"text"` - `"image"` - `"pdf"` - `num_lines: Optional[int]` - `start_line: Optional[int]` - `total_lines: Optional[int]` - `type: Literal["text_editor_code_execution_view_result"]` - `"text_editor_code_execution_view_result"` - `class BetaTextEditorCodeExecutionCreateResultBlock: …` - `is_file_update: bool` - `type: Literal["text_editor_code_execution_create_result"]` - `"text_editor_code_execution_create_result"` - `class BetaTextEditorCodeExecutionStrReplaceResultBlock: …` - `lines: Optional[List[str]]` - `new_lines: Optional[int]` - `new_start: Optional[int]` - `old_lines: Optional[int]` - `old_start: Optional[int]` - `type: Literal["text_editor_code_execution_str_replace_result"]` - `"text_editor_code_execution_str_replace_result"` - `tool_use_id: str` - `type: Literal["text_editor_code_execution_tool_result"]` - `"text_editor_code_execution_tool_result"` - `class BetaToolSearchToolResultBlock: …` - `content: Content` - `class BetaToolSearchToolResultError: …` - `error_code: Literal["invalid_tool_input", "unavailable", "too_many_requests", "execution_time_exceeded"]` - `"invalid_tool_input"` - `"unavailable"` - `"too_many_requests"` - `"execution_time_exceeded"` - `error_message: Optional[str]` - `type: Literal["tool_search_tool_result_error"]` - `"tool_search_tool_result_error"` - `class BetaToolSearchToolSearchResultBlock: …` - `tool_references: List[BetaToolReferenceBlock]` - `tool_name: str` - `type: Literal["tool_reference"]` - `"tool_reference"` - `type: Literal["tool_search_tool_search_result"]` - `"tool_search_tool_search_result"` - `tool_use_id: str` - `type: Literal["tool_search_tool_result"]` - `"tool_search_tool_result"` - `class BetaMCPToolUseBlock: …` - `id: str` - `input: Dict[str, object]` - `name: str` The name of the MCP tool - `server_name: str` The name of the MCP server - `type: Literal["mcp_tool_use"]` - `"mcp_tool_use"` - `class BetaMCPToolResultBlock: …` - `content: Union[str, List[BetaTextBlock]]` - `str` - `List[BetaTextBlock]` - `citations: Optional[List[BetaTextCitation]]` Citations supporting the text block. The type of citation returned will depend on the type of document being cited. Citing a PDF results in `page_location`, plain text results in `char_location`, and content document results in `content_block_location`. - `text: str` - `type: Literal["text"]` - `is_error: bool` - `tool_use_id: str` - `type: Literal["mcp_tool_result"]` - `"mcp_tool_result"` - `class BetaContainerUploadBlock: …` Response model for a file uploaded to the container. - `file_id: str` - `type: Literal["container_upload"]` - `"container_upload"` - `class BetaCompactionBlock: …` 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: Optional[str]` Summary of compacted content, or null if compaction failed - `encrypted_content: Optional[str]` Opaque metadata from prior compaction, to be round-tripped verbatim - `type: Literal["compaction"]` - `"compaction"` - `context_management: Optional[BetaContextManagementResponse]` Context management response. Information about context management strategies applied during the request. - `applied_edits: List[AppliedEdit]` List of context management edits that were applied. - `class BetaClearToolUses20250919EditResponse: …` - `cleared_input_tokens: int` Number of input tokens cleared by this edit. - `cleared_tool_uses: int` Number of tool uses that were cleared. - `type: Literal["clear_tool_uses_20250919"]` The type of context management edit applied. - `"clear_tool_uses_20250919"` - `class BetaClearThinking20251015EditResponse: …` - `cleared_input_tokens: int` Number of input tokens cleared by this edit. - `cleared_thinking_turns: int` Number of thinking turns that were cleared. - `type: Literal["clear_thinking_20251015"]` The type of context management edit applied. - `"clear_thinking_20251015"` - `diagnostics: Optional[BetaDiagnostics]` Response envelope for request-level diagnostics. Present (possibly null) whenever the caller supplied `diagnostics` on the request. - `cache_miss_reason: Optional[CacheMissReason]` Explains why the prompt cache could not fully reuse the prefix from the request identified by `diagnostics.previous_message_id`. `null` means diagnosis is still pending — the response was serialized before the background comparison completed. - `class BetaCacheMissModelChanged: …` - `cache_missed_input_tokens: int` Approximate number of input tokens that would have been read from cache had the prefix matched the previous request. - `type: Literal["model_changed"]` - `"model_changed"` - `class BetaCacheMissSystemChanged: …` - `cache_missed_input_tokens: int` Approximate number of input tokens that would have been read from cache had the prefix matched the previous request. - `type: Literal["system_changed"]` - `"system_changed"` - `class BetaCacheMissToolsChanged: …` - `cache_missed_input_tokens: int` Approximate number of input tokens that would have been read from cache had the prefix matched the previous request. - `type: Literal["tools_changed"]` - `"tools_changed"` - `class BetaCacheMissMessagesChanged: …` - `cache_missed_input_tokens: int` Approximate number of input tokens that would have been read from cache had the prefix matched the previous request. - `type: Literal["messages_changed"]` - `"messages_changed"` - `class BetaCacheMissPreviousMessageNotFound: …` - `type: Literal["previous_message_not_found"]` - `"previous_message_not_found"` - `class BetaCacheMissUnavailable: …` - `type: Literal["unavailable"]` - `"unavailable"` - `model: Model` The model that will complete your prompt. See [models](https://docs.anthropic.com/en/docs/models-overview) for additional details and options. - `Literal["claude-opus-4-8", "claude-opus-4-7", "claude-mythos-preview", 15 more]` The model that will complete your prompt. See [models](https://docs.anthropic.com/en/docs/models-overview) for additional details and options. - `claude-opus-4-8` - Frontier intelligence for long-running agents and coding - `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` - Deprecated: Will reach end-of-life on June 15th, 2026. Please migrate to a newer model. Visit https://docs.anthropic.com/en/docs/resources/model-deprecations for more information. - `claude-opus-4-20250514` - Deprecated: Will reach end-of-life on June 15th, 2026. Please migrate to a newer model. Visit https://docs.anthropic.com/en/docs/resources/model-deprecations for more information. - `claude-sonnet-4-0` - Deprecated: Will reach end-of-life on June 15th, 2026. Please migrate to a newer model. Visit https://docs.anthropic.com/en/docs/resources/model-deprecations for more information. - `claude-sonnet-4-20250514` - Deprecated: Will reach end-of-life on June 15th, 2026. Please migrate to a newer model. Visit https://docs.anthropic.com/en/docs/resources/model-deprecations for more information. - `claude-3-haiku-20240307` - Deprecated: Will reach end-of-life on April 20th, 2026. Please migrate to claude-haiku-4-5. Visit https://docs.anthropic.com/en/docs/resources/model-deprecations for more information. - `"claude-opus-4-8"` Frontier intelligence for long-running agents and coding - `"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 - `str` - `role: Literal["assistant"]` Conversational role of the generated message. This will always be `"assistant"`. - `"assistant"` - `stop_details: Optional[BetaRefusalStopDetails]` Structured information about a refusal. - `category: Optional[Literal["cyber", "bio"]]` The policy category that triggered the refusal. `null` when the refusal doesn't map to a named category. - `"cyber"` - `"bio"` - `explanation: Optional[str]` Human-readable explanation of the refusal. This text is not guaranteed to be stable. `null` when no explanation is available for the category. - `type: Literal["refusal"]` - `"refusal"` - `stop_reason: Optional[BetaStopReason]` The reason that we stopped. This may be one the following values: * `"end_turn"`: the model reached a natural stopping point * `"max_tokens"`: we exceeded the requested `max_tokens` or the model's maximum * `"stop_sequence"`: one of your provided custom `stop_sequences` was 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_start` event and non-null otherwise. - `"end_turn"` - `"max_tokens"` - `"stop_sequence"` - `"tool_use"` - `"pause_turn"` - `"compaction"` - `"refusal"` - `"model_context_window_exceeded"` - `stop_sequence: Optional[str]` Which 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: Literal["message"]` Object type. For Messages, this is always `"message"`. - `"message"` - `usage: BetaUsage` Billing 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 `usage` will not match one-to-one with the exact visible content of an API request or response. For example, `output_tokens` will 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`, and `cache_read_input_tokens`. - `cache_creation: Optional[BetaCacheCreation]` Breakdown of cached tokens by TTL - `ephemeral_1h_input_tokens: int` The number of input tokens used to create the 1 hour cache entry. - `ephemeral_5m_input_tokens: int` The number of input tokens used to create the 5 minute cache entry. - `cache_creation_input_tokens: Optional[int]` The number of input tokens used to create the cache entry. - `cache_read_input_tokens: Optional[int]` The number of input tokens read from the cache. - `inference_geo: Optional[str]` The geographic region where inference was performed for this request. - `input_tokens: int` The number of input tokens which were used. - `iterations: Optional[BetaIterationsUsage]` Per-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 - `class BetaMessageIterationUsage: …` Token usage for a sampling iteration. - `cache_creation: Optional[BetaCacheCreation]` Breakdown of cached tokens by TTL - `cache_creation_input_tokens: int` The number of input tokens used to create the cache entry. - `cache_read_input_tokens: int` The number of input tokens read from the cache. - `input_tokens: int` The number of input tokens which were used. - `output_tokens: int` The number of output tokens which were used. - `type: Literal["message"]` Usage for a sampling iteration - `"message"` - `class BetaCompactionIterationUsage: …` Token usage for a compaction iteration. - `cache_creation: Optional[BetaCacheCreation]` Breakdown of cached tokens by TTL - `cache_creation_input_tokens: int` The number of input tokens used to create the cache entry. - `cache_read_input_tokens: int` The number of input tokens read from the cache. - `input_tokens: int` The number of input tokens which were used. - `output_tokens: int` The number of output tokens which were used. - `type: Literal["compaction"]` Usage for a compaction iteration - `"compaction"` - `class BetaAdvisorMessageIterationUsage: …` Token usage for an advisor sub-inference iteration. - `cache_creation: Optional[BetaCacheCreation]` Breakdown of cached tokens by TTL - `cache_creation_input_tokens: int` The number of input tokens used to create the cache entry. - `cache_read_input_tokens: int` The number of input tokens read from the cache. - `input_tokens: int` The number of input tokens which were used. - `model: Model` The model that will complete your prompt. See [models](https://docs.anthropic.com/en/docs/models-overview) for additional details and options. - `output_tokens: int` The number of output tokens which were used. - `type: Literal["advisor_message"]` Usage for an advisor sub-inference iteration - `"advisor_message"` - `output_tokens: int` The number of output tokens which were used. - `output_tokens_details: Optional[BetaOutputTokensDetails]` Breakdown of output tokens by category. `output_tokens` remains the inclusive, authoritative total used for billing. This object provides a read-only decomposition for observability — for example, how many of the billed output tokens were spent on internal reasoning that may have been summarized before being returned to you. - `thinking_tokens: int` Number of output tokens the model generated as internal reasoning, including the thinking-block delimiter tokens. Reflects the raw reasoning the model produced, not the (possibly shorter) summarized thinking text returned in the response body. Computed by re-tokenizing the raw reasoning text, so it may differ from the model's exact generation count by a small number of tokens. Always ≤ `output_tokens`; `output_tokens - thinking_tokens` approximates the non-reasoning output. - `server_tool_use: Optional[BetaServerToolUsage]` The number of server tool requests. - `web_fetch_requests: int` The number of web fetch tool requests. - `web_search_requests: int` The number of web search tool requests. - `service_tier: Optional[Literal["standard", "priority", "batch"]]` If the request used the priority, standard, or batch tier. - `"standard"` - `"priority"` - `"batch"` - `speed: Optional[Literal["standard", "fast"]]` The inference speed mode used for this request. - `"standard"` - `"fast"` - `type: Literal["succeeded"]` - `"succeeded"` - `class BetaMessageBatchErroredResult: …` - `error: BetaErrorResponse` - `error: BetaError` - `class BetaInvalidRequestError: …` - `message: str` - `type: Literal["invalid_request_error"]` - `"invalid_request_error"` - `class BetaAuthenticationError: …` - `message: str` - `type: Literal["authentication_error"]` - `"authentication_error"` - `class BetaBillingError: …` - `message: str` - `type: Literal["billing_error"]` - `"billing_error"` - `class BetaPermissionError: …` - `message: str` - `type: Literal["permission_error"]` - `"permission_error"` - `class BetaNotFoundError: …` - `message: str` - `type: Literal["not_found_error"]` - `"not_found_error"` - `class BetaRateLimitError: …` - `message: str` - `type: Literal["rate_limit_error"]` - `"rate_limit_error"` - `class BetaGatewayTimeoutError: …` - `message: str` - `type: Literal["timeout_error"]` - `"timeout_error"` - `class BetaAPIError: …` - `message: str` - `type: Literal["api_error"]` - `"api_error"` - `class BetaOverloadedError: …` - `message: str` - `type: Literal["overloaded_error"]` - `"overloaded_error"` - `request_id: Optional[str]` - `type: Literal["error"]` - `"error"` - `type: Literal["errored"]` - `"errored"` - `class BetaMessageBatchCanceledResult: …` - `type: Literal["canceled"]` - `"canceled"` - `class BetaMessageBatchExpiredResult: …` - `type: Literal["expired"]` - `"expired"` ### Beta Message Batch Request Counts - `class BetaMessageBatchRequestCounts: …` - `canceled: int` Number of requests in the Message Batch that have been canceled. This is zero until processing of the entire Message Batch has ended. - `errored: int` Number of requests in the Message Batch that encountered an error. This is zero until processing of the entire Message Batch has ended. - `expired: int` Number of requests in the Message Batch that have expired. This is zero until processing of the entire Message Batch has ended. - `processing: int` Number of requests in the Message Batch that are processing. - `succeeded: int` Number of requests in the Message Batch that have completed successfully. This is zero until processing of the entire Message Batch has ended. ### Beta Message Batch Result - `BetaMessageBatchResult` 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. - `class BetaMessageBatchSucceededResult: …` - `message: BetaMessage` - `id: str` Unique object identifier. The format and length of IDs may change over time. - `container: Optional[BetaContainer]` Information about the container used in the request (for the code execution tool) - `id: str` Identifier for the container used in this request - `expires_at: datetime` The time at which the container will expire. - `skills: Optional[List[BetaSkill]]` Skills loaded in the container - `skill_id: str` Skill ID - `type: Literal["anthropic", "custom"]` Type of skill - either 'anthropic' (built-in) or 'custom' (user-defined) - `"anthropic"` - `"custom"` - `version: str` Skill version or 'latest' for most recent version - `content: List[BetaContentBlock]` Content generated by the model. This is an array of content blocks, each of which has a `type` that determines its shape. Example: ```json [{"type": "text", "text": "Hi, I'm Claude."}] ``` If the request input `messages` ended with an `assistant` turn, then the response `content` will continue directly from that last turn. You can use this to constrain the model's output. For example, if the input `messages` were: ```json [ {"role": "user", "content": "What's the Greek name for Sun? (A) Sol (B) Helios (C) Sun"}, {"role": "assistant", "content": "The best answer is ("} ] ``` Then the response `content` might be: ```json [{"type": "text", "text": "B)"}] ``` - `class BetaTextBlock: …` - `citations: Optional[List[BetaTextCitation]]` Citations supporting the text block. The type of citation returned will depend on the type of document being cited. Citing a PDF results in `page_location`, plain text results in `char_location`, and content document results in `content_block_location`. - `class BetaCitationCharLocation: …` - `cited_text: str` - `document_index: int` - `document_title: Optional[str]` - `end_char_index: int` - `file_id: Optional[str]` - `start_char_index: int` - `type: Literal["char_location"]` - `"char_location"` - `class BetaCitationPageLocation: …` - `cited_text: str` - `document_index: int` - `document_title: Optional[str]` - `end_page_number: int` - `file_id: Optional[str]` - `start_page_number: int` - `type: Literal["page_location"]` - `"page_location"` - `class BetaCitationContentBlockLocation: …` - `cited_text: str` The full text of the cited block range, concatenated. Always equals the contents of `content[start_block_index:end_block_index]` joined together. The text block is the minimal citable unit; this field is never a substring of a single block. Not counted toward output tokens, and not counted toward input tokens when sent back in subsequent turns. - `document_index: int` - `document_title: Optional[str]` - `end_block_index: int` Exclusive 0-based end index of the cited block range in the source's `content` array. Always greater than `start_block_index`; a single-block citation has `end_block_index = start_block_index + 1`. - `file_id: Optional[str]` - `start_block_index: int` 0-based index of the first cited block in the source's `content` array. - `type: Literal["content_block_location"]` - `"content_block_location"` - `class BetaCitationsWebSearchResultLocation: …` - `cited_text: str` - `encrypted_index: str` - `title: Optional[str]` - `type: Literal["web_search_result_location"]` - `"web_search_result_location"` - `url: str` - `class BetaCitationSearchResultLocation: …` - `cited_text: str` The full text of the cited block range, concatenated. Always equals the contents of `content[start_block_index:end_block_index]` joined together. The text block is the minimal citable unit; this field is never a substring of a single block. Not counted toward output tokens, and not counted toward input tokens when sent back in subsequent turns. - `end_block_index: int` Exclusive 0-based end index of the cited block range in the source's `content` array. Always greater than `start_block_index`; a single-block citation has `end_block_index = start_block_index + 1`. - `search_result_index: int` 0-based index of the cited search result among all `search_result` content blocks in the request, in the order they appear across messages and tool results. Counted separately from `document_index`; server-side web search results are not included in this count. - `source: str` - `start_block_index: int` 0-based index of the first cited block in the source's `content` array. - `title: Optional[str]` - `type: Literal["search_result_location"]` - `"search_result_location"` - `text: str` - `type: Literal["text"]` - `"text"` - `class BetaThinkingBlock: …` - `signature: str` - `thinking: str` - `type: Literal["thinking"]` - `"thinking"` - `class BetaRedactedThinkingBlock: …` - `data: str` - `type: Literal["redacted_thinking"]` - `"redacted_thinking"` - `class BetaToolUseBlock: …` - `id: str` - `input: Dict[str, object]` - `name: str` - `type: Literal["tool_use"]` - `"tool_use"` - `caller: Optional[Caller]` Tool invocation directly from the model. - `class BetaDirectCaller: …` Tool invocation directly from the model. - `type: Literal["direct"]` - `"direct"` - `class BetaServerToolCaller: …` Tool invocation generated by a server-side tool. - `tool_id: str` - `type: Literal["code_execution_20250825"]` - `"code_execution_20250825"` - `class BetaServerToolCaller20260120: …` - `tool_id: str` - `type: Literal["code_execution_20260120"]` - `"code_execution_20260120"` - `class BetaServerToolUseBlock: …` - `id: str` - `input: Dict[str, object]` - `name: Literal["advisor", "web_search", "web_fetch", 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: Literal["server_tool_use"]` - `"server_tool_use"` - `caller: Optional[Caller]` Tool invocation directly from the model. - `class BetaDirectCaller: …` Tool invocation directly from the model. - `class BetaServerToolCaller: …` Tool invocation generated by a server-side tool. - `class BetaServerToolCaller20260120: …` - `class BetaWebSearchToolResultBlock: …` - `content: BetaWebSearchToolResultBlockContent` - `class BetaWebSearchToolResultError: …` - `error_code: BetaWebSearchToolResultErrorCode` - `"invalid_tool_input"` - `"unavailable"` - `"max_uses_exceeded"` - `"too_many_requests"` - `"query_too_long"` - `"request_too_large"` - `type: Literal["web_search_tool_result_error"]` - `"web_search_tool_result_error"` - `List[BetaWebSearchResultBlock]` - `encrypted_content: str` - `page_age: Optional[str]` - `title: str` - `type: Literal["web_search_result"]` - `"web_search_result"` - `url: str` - `tool_use_id: str` - `type: Literal["web_search_tool_result"]` - `"web_search_tool_result"` - `caller: Optional[Caller]` Tool invocation directly from the model. - `class BetaDirectCaller: …` Tool invocation directly from the model. - `class BetaServerToolCaller: …` Tool invocation generated by a server-side tool. - `class BetaServerToolCaller20260120: …` - `class BetaWebFetchToolResultBlock: …` - `content: Content` - `class BetaWebFetchToolResultErrorBlock: …` - `error_code: BetaWebFetchToolResultErrorCode` - `"invalid_tool_input"` - `"url_too_long"` - `"url_not_allowed"` - `"url_not_in_prior_context"` - `"url_not_accessible"` - `"unsupported_content_type"` - `"too_many_requests"` - `"max_uses_exceeded"` - `"unavailable"` - `type: Literal["web_fetch_tool_result_error"]` - `"web_fetch_tool_result_error"` - `class BetaWebFetchBlock: …` - `content: BetaDocumentBlock` - `citations: Optional[BetaCitationConfig]` Citation configuration for the document - `enabled: bool` - `source: Source` - `class BetaBase64PDFSource: …` - `data: str` - `media_type: Literal["application/pdf"]` - `"application/pdf"` - `type: Literal["base64"]` - `"base64"` - `class BetaPlainTextSource: …` - `data: str` - `media_type: Literal["text/plain"]` - `"text/plain"` - `type: Literal["text"]` - `"text"` - `title: Optional[str]` The title of the document - `type: Literal["document"]` - `"document"` - `retrieved_at: Optional[str]` ISO 8601 timestamp when the content was retrieved - `type: Literal["web_fetch_result"]` - `"web_fetch_result"` - `url: str` Fetched content URL - `tool_use_id: str` - `type: Literal["web_fetch_tool_result"]` - `"web_fetch_tool_result"` - `caller: Optional[Caller]` Tool invocation directly from the model. - `class BetaDirectCaller: …` Tool invocation directly from the model. - `class BetaServerToolCaller: …` Tool invocation generated by a server-side tool. - `class BetaServerToolCaller20260120: …` - `class BetaAdvisorToolResultBlock: …` - `content: Content` - `class BetaAdvisorToolResultError: …` - `error_code: Literal["max_uses_exceeded", "prompt_too_long", "too_many_requests", 3 more]` - `"max_uses_exceeded"` - `"prompt_too_long"` - `"too_many_requests"` - `"overloaded"` - `"unavailable"` - `"execution_time_exceeded"` - `type: Literal["advisor_tool_result_error"]` - `"advisor_tool_result_error"` - `class BetaAdvisorResultBlock: …` - `stop_reason: Optional[str]` The advisor sub-inference's stop reason (same values as the top-level message `stop_reason`). `max_tokens` indicates the advisor's output was truncated at the tool's `max_tokens` value or the advisor model's policy cap. - `text: str` - `type: Literal["advisor_result"]` - `"advisor_result"` - `class BetaAdvisorRedactedResultBlock: …` - `encrypted_content: str` Opaque blob containing the advisor's output. Round-trip verbatim; do not inspect or modify. - `stop_reason: Optional[str]` The advisor sub-inference's stop reason (same values as the top-level message `stop_reason`). - `type: Literal["advisor_redacted_result"]` - `"advisor_redacted_result"` - `tool_use_id: str` - `type: Literal["advisor_tool_result"]` - `"advisor_tool_result"` - `class BetaCodeExecutionToolResultBlock: …` - `content: BetaCodeExecutionToolResultBlockContent` Code execution result with encrypted stdout for PFC + web_search results. - `class BetaCodeExecutionToolResultError: …` - `error_code: BetaCodeExecutionToolResultErrorCode` - `"invalid_tool_input"` - `"unavailable"` - `"too_many_requests"` - `"execution_time_exceeded"` - `type: Literal["code_execution_tool_result_error"]` - `"code_execution_tool_result_error"` - `class BetaCodeExecutionResultBlock: …` - `content: List[BetaCodeExecutionOutputBlock]` - `file_id: str` - `type: Literal["code_execution_output"]` - `"code_execution_output"` - `return_code: int` - `stderr: str` - `stdout: str` - `type: Literal["code_execution_result"]` - `"code_execution_result"` - `class BetaEncryptedCodeExecutionResultBlock: …` Code execution result with encrypted stdout for PFC + web_search results. - `content: List[BetaCodeExecutionOutputBlock]` - `file_id: str` - `type: Literal["code_execution_output"]` - `encrypted_stdout: str` - `return_code: int` - `stderr: str` - `type: Literal["encrypted_code_execution_result"]` - `"encrypted_code_execution_result"` - `tool_use_id: str` - `type: Literal["code_execution_tool_result"]` - `"code_execution_tool_result"` - `class BetaBashCodeExecutionToolResultBlock: …` - `content: Content` - `class BetaBashCodeExecutionToolResultError: …` - `error_code: Literal["invalid_tool_input", "unavailable", "too_many_requests", 2 more]` - `"invalid_tool_input"` - `"unavailable"` - `"too_many_requests"` - `"execution_time_exceeded"` - `"output_file_too_large"` - `type: Literal["bash_code_execution_tool_result_error"]` - `"bash_code_execution_tool_result_error"` - `class BetaBashCodeExecutionResultBlock: …` - `content: List[BetaBashCodeExecutionOutputBlock]` - `file_id: str` - `type: Literal["bash_code_execution_output"]` - `"bash_code_execution_output"` - `return_code: int` - `stderr: str` - `stdout: str` - `type: Literal["bash_code_execution_result"]` - `"bash_code_execution_result"` - `tool_use_id: str` - `type: Literal["bash_code_execution_tool_result"]` - `"bash_code_execution_tool_result"` - `class BetaTextEditorCodeExecutionToolResultBlock: …` - `content: Content` - `class BetaTextEditorCodeExecutionToolResultError: …` - `error_code: Literal["invalid_tool_input", "unavailable", "too_many_requests", 2 more]` - `"invalid_tool_input"` - `"unavailable"` - `"too_many_requests"` - `"execution_time_exceeded"` - `"file_not_found"` - `error_message: Optional[str]` - `type: Literal["text_editor_code_execution_tool_result_error"]` - `"text_editor_code_execution_tool_result_error"` - `class BetaTextEditorCodeExecutionViewResultBlock: …` - `content: str` - `file_type: Literal["text", "image", "pdf"]` - `"text"` - `"image"` - `"pdf"` - `num_lines: Optional[int]` - `start_line: Optional[int]` - `total_lines: Optional[int]` - `type: Literal["text_editor_code_execution_view_result"]` - `"text_editor_code_execution_view_result"` - `class BetaTextEditorCodeExecutionCreateResultBlock: …` - `is_file_update: bool` - `type: Literal["text_editor_code_execution_create_result"]` - `"text_editor_code_execution_create_result"` - `class BetaTextEditorCodeExecutionStrReplaceResultBlock: …` - `lines: Optional[List[str]]` - `new_lines: Optional[int]` - `new_start: Optional[int]` - `old_lines: Optional[int]` - `old_start: Optional[int]` - `type: Literal["text_editor_code_execution_str_replace_result"]` - `"text_editor_code_execution_str_replace_result"` - `tool_use_id: str` - `type: Literal["text_editor_code_execution_tool_result"]` - `"text_editor_code_execution_tool_result"` - `class BetaToolSearchToolResultBlock: …` - `content: Content` - `class BetaToolSearchToolResultError: …` - `error_code: Literal["invalid_tool_input", "unavailable", "too_many_requests", "execution_time_exceeded"]` - `"invalid_tool_input"` - `"unavailable"` - `"too_many_requests"` - `"execution_time_exceeded"` - `error_message: Optional[str]` - `type: Literal["tool_search_tool_result_error"]` - `"tool_search_tool_result_error"` - `class BetaToolSearchToolSearchResultBlock: …` - `tool_references: List[BetaToolReferenceBlock]` - `tool_name: str` - `type: Literal["tool_reference"]` - `"tool_reference"` - `type: Literal["tool_search_tool_search_result"]` - `"tool_search_tool_search_result"` - `tool_use_id: str` - `type: Literal["tool_search_tool_result"]` - `"tool_search_tool_result"` - `class BetaMCPToolUseBlock: …` - `id: str` - `input: Dict[str, object]` - `name: str` The name of the MCP tool - `server_name: str` The name of the MCP server - `type: Literal["mcp_tool_use"]` - `"mcp_tool_use"` - `class BetaMCPToolResultBlock: …` - `content: Union[str, List[BetaTextBlock]]` - `str` - `List[BetaTextBlock]` - `citations: Optional[List[BetaTextCitation]]` Citations supporting the text block. The type of citation returned will depend on the type of document being cited. Citing a PDF results in `page_location`, plain text results in `char_location`, and content document results in `content_block_location`. - `text: str` - `type: Literal["text"]` - `is_error: bool` - `tool_use_id: str` - `type: Literal["mcp_tool_result"]` - `"mcp_tool_result"` - `class BetaContainerUploadBlock: …` Response model for a file uploaded to the container. - `file_id: str` - `type: Literal["container_upload"]` - `"container_upload"` - `class BetaCompactionBlock: …` 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: Optional[str]` Summary of compacted content, or null if compaction failed - `encrypted_content: Optional[str]` Opaque metadata from prior compaction, to be round-tripped verbatim - `type: Literal["compaction"]` - `"compaction"` - `context_management: Optional[BetaContextManagementResponse]` Context management response. Information about context management strategies applied during the request. - `applied_edits: List[AppliedEdit]` List of context management edits that were applied. - `class BetaClearToolUses20250919EditResponse: …` - `cleared_input_tokens: int` Number of input tokens cleared by this edit. - `cleared_tool_uses: int` Number of tool uses that were cleared. - `type: Literal["clear_tool_uses_20250919"]` The type of context management edit applied. - `"clear_tool_uses_20250919"` - `class BetaClearThinking20251015EditResponse: …` - `cleared_input_tokens: int` Number of input tokens cleared by this edit. - `cleared_thinking_turns: int` Number of thinking turns that were cleared. - `type: Literal["clear_thinking_20251015"]` The type of context management edit applied. - `"clear_thinking_20251015"` - `diagnostics: Optional[BetaDiagnostics]` Response envelope for request-level diagnostics. Present (possibly null) whenever the caller supplied `diagnostics` on the request. - `cache_miss_reason: Optional[CacheMissReason]` Explains why the prompt cache could not fully reuse the prefix from the request identified by `diagnostics.previous_message_id`. `null` means diagnosis is still pending — the response was serialized before the background comparison completed. - `class BetaCacheMissModelChanged: …` - `cache_missed_input_tokens: int` Approximate number of input tokens that would have been read from cache had the prefix matched the previous request. - `type: Literal["model_changed"]` - `"model_changed"` - `class BetaCacheMissSystemChanged: …` - `cache_missed_input_tokens: int` Approximate number of input tokens that would have been read from cache had the prefix matched the previous request. - `type: Literal["system_changed"]` - `"system_changed"` - `class BetaCacheMissToolsChanged: …` - `cache_missed_input_tokens: int` Approximate number of input tokens that would have been read from cache had the prefix matched the previous request. - `type: Literal["tools_changed"]` - `"tools_changed"` - `class BetaCacheMissMessagesChanged: …` - `cache_missed_input_tokens: int` Approximate number of input tokens that would have been read from cache had the prefix matched the previous request. - `type: Literal["messages_changed"]` - `"messages_changed"` - `class BetaCacheMissPreviousMessageNotFound: …` - `type: Literal["previous_message_not_found"]` - `"previous_message_not_found"` - `class BetaCacheMissUnavailable: …` - `type: Literal["unavailable"]` - `"unavailable"` - `model: Model` The model that will complete your prompt. See [models](https://docs.anthropic.com/en/docs/models-overview) for additional details and options. - `Literal["claude-opus-4-8", "claude-opus-4-7", "claude-mythos-preview", 15 more]` The model that will complete your prompt. See [models](https://docs.anthropic.com/en/docs/models-overview) for additional details and options. - `claude-opus-4-8` - Frontier intelligence for long-running agents and coding - `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` - Deprecated: Will reach end-of-life on June 15th, 2026. Please migrate to a newer model. Visit https://docs.anthropic.com/en/docs/resources/model-deprecations for more information. - `claude-opus-4-20250514` - Deprecated: Will reach end-of-life on June 15th, 2026. Please migrate to a newer model. Visit https://docs.anthropic.com/en/docs/resources/model-deprecations for more information. - `claude-sonnet-4-0` - Deprecated: Will reach end-of-life on June 15th, 2026. Please migrate to a newer model. Visit https://docs.anthropic.com/en/docs/resources/model-deprecations for more information. - `claude-sonnet-4-20250514` - Deprecated: Will reach end-of-life on June 15th, 2026. Please migrate to a newer model. Visit https://docs.anthropic.com/en/docs/resources/model-deprecations for more information. - `claude-3-haiku-20240307` - Deprecated: Will reach end-of-life on April 20th, 2026. Please migrate to claude-haiku-4-5. Visit https://docs.anthropic.com/en/docs/resources/model-deprecations for more information. - `"claude-opus-4-8"` Frontier intelligence for long-running agents and coding - `"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 - `str` - `role: Literal["assistant"]` Conversational role of the generated message. This will always be `"assistant"`. - `"assistant"` - `stop_details: Optional[BetaRefusalStopDetails]` Structured information about a refusal. - `category: Optional[Literal["cyber", "bio"]]` The policy category that triggered the refusal. `null` when the refusal doesn't map to a named category. - `"cyber"` - `"bio"` - `explanation: Optional[str]` Human-readable explanation of the refusal. This text is not guaranteed to be stable. `null` when no explanation is available for the category. - `type: Literal["refusal"]` - `"refusal"` - `stop_reason: Optional[BetaStopReason]` The reason that we stopped. This may be one the following values: * `"end_turn"`: the model reached a natural stopping point * `"max_tokens"`: we exceeded the requested `max_tokens` or the model's maximum * `"stop_sequence"`: one of your provided custom `stop_sequences` was 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_start` event and non-null otherwise. - `"end_turn"` - `"max_tokens"` - `"stop_sequence"` - `"tool_use"` - `"pause_turn"` - `"compaction"` - `"refusal"` - `"model_context_window_exceeded"` - `stop_sequence: Optional[str]` Which 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: Literal["message"]` Object type. For Messages, this is always `"message"`. - `"message"` - `usage: BetaUsage` Billing 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 `usage` will not match one-to-one with the exact visible content of an API request or response. For example, `output_tokens` will 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`, and `cache_read_input_tokens`. - `cache_creation: Optional[BetaCacheCreation]` Breakdown of cached tokens by TTL - `ephemeral_1h_input_tokens: int` The number of input tokens used to create the 1 hour cache entry. - `ephemeral_5m_input_tokens: int` The number of input tokens used to create the 5 minute cache entry. - `cache_creation_input_tokens: Optional[int]` The number of input tokens used to create the cache entry. - `cache_read_input_tokens: Optional[int]` The number of input tokens read from the cache. - `inference_geo: Optional[str]` The geographic region where inference was performed for this request. - `input_tokens: int` The number of input tokens which were used. - `iterations: Optional[BetaIterationsUsage]` Per-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 - `class BetaMessageIterationUsage: …` Token usage for a sampling iteration. - `cache_creation: Optional[BetaCacheCreation]` Breakdown of cached tokens by TTL - `cache_creation_input_tokens: int` The number of input tokens used to create the cache entry. - `cache_read_input_tokens: int` The number of input tokens read from the cache. - `input_tokens: int` The number of input tokens which were used. - `output_tokens: int` The number of output tokens which were used. - `type: Literal["message"]` Usage for a sampling iteration - `"message"` - `class BetaCompactionIterationUsage: …` Token usage for a compaction iteration. - `cache_creation: Optional[BetaCacheCreation]` Breakdown of cached tokens by TTL - `cache_creation_input_tokens: int` The number of input tokens used to create the cache entry. - `cache_read_input_tokens: int` The number of input tokens read from the cache. - `input_tokens: int` The number of input tokens which were used. - `output_tokens: int` The number of output tokens which were used. - `type: Literal["compaction"]` Usage for a compaction iteration - `"compaction"` - `class BetaAdvisorMessageIterationUsage: …` Token usage for an advisor sub-inference iteration. - `cache_creation: Optional[BetaCacheCreation]` Breakdown of cached tokens by TTL - `cache_creation_input_tokens: int` The number of input tokens used to create the cache entry. - `cache_read_input_tokens: int` The number of input tokens read from the cache. - `input_tokens: int` The number of input tokens which were used. - `model: Model` The model that will complete your prompt. See [models](https://docs.anthropic.com/en/docs/models-overview) for additional details and options. - `output_tokens: int` The number of output tokens which were used. - `type: Literal["advisor_message"]` Usage for an advisor sub-inference iteration - `"advisor_message"` - `output_tokens: int` The number of output tokens which were used. - `output_tokens_details: Optional[BetaOutputTokensDetails]` Breakdown of output tokens by category. `output_tokens` remains the inclusive, authoritative total used for billing. This object provides a read-only decomposition for observability — for example, how many of the billed output tokens were spent on internal reasoning that may have been summarized before being returned to you. - `thinking_tokens: int` Number of output tokens the model generated as internal reasoning, including the thinking-block delimiter tokens. Reflects the raw reasoning the model produced, not the (possibly shorter) summarized thinking text returned in the response body. Computed by re-tokenizing the raw reasoning text, so it may differ from the model's exact generation count by a small number of tokens. Always ≤ `output_tokens`; `output_tokens - thinking_tokens` approximates the non-reasoning output. - `server_tool_use: Optional[BetaServerToolUsage]` The number of server tool requests. - `web_fetch_requests: int` The number of web fetch tool requests. - `web_search_requests: int` The number of web search tool requests. - `service_tier: Optional[Literal["standard", "priority", "batch"]]` If the request used the priority, standard, or batch tier. - `"standard"` - `"priority"` - `"batch"` - `speed: Optional[Literal["standard", "fast"]]` The inference speed mode used for this request. - `"standard"` - `"fast"` - `type: Literal["succeeded"]` - `"succeeded"` - `class BetaMessageBatchErroredResult: …` - `error: BetaErrorResponse` - `error: BetaError` - `class BetaInvalidRequestError: …` - `message: str` - `type: Literal["invalid_request_error"]` - `"invalid_request_error"` - `class BetaAuthenticationError: …` - `message: str` - `type: Literal["authentication_error"]` - `"authentication_error"` - `class BetaBillingError: …` - `message: str` - `type: Literal["billing_error"]` - `"billing_error"` - `class BetaPermissionError: …` - `message: str` - `type: Literal["permission_error"]` - `"permission_error"` - `class BetaNotFoundError: …` - `message: str` - `type: Literal["not_found_error"]` - `"not_found_error"` - `class BetaRateLimitError: …` - `message: str` - `type: Literal["rate_limit_error"]` - `"rate_limit_error"` - `class BetaGatewayTimeoutError: …` - `message: str` - `type: Literal["timeout_error"]` - `"timeout_error"` - `class BetaAPIError: …` - `message: str` - `type: Literal["api_error"]` - `"api_error"` - `class BetaOverloadedError: …` - `message: str` - `type: Literal["overloaded_error"]` - `"overloaded_error"` - `request_id: Optional[str]` - `type: Literal["error"]` - `"error"` - `type: Literal["errored"]` - `"errored"` - `class BetaMessageBatchCanceledResult: …` - `type: Literal["canceled"]` - `"canceled"` - `class BetaMessageBatchExpiredResult: …` - `type: Literal["expired"]` - `"expired"` ### Beta Message Batch Succeeded Result - `class BetaMessageBatchSucceededResult: …` - `message: BetaMessage` - `id: str` Unique object identifier. The format and length of IDs may change over time. - `container: Optional[BetaContainer]` Information about the container used in the request (for the code execution tool) - `id: str` Identifier for the container used in this request - `expires_at: datetime` The time at which the container will expire. - `skills: Optional[List[BetaSkill]]` Skills loaded in the container - `skill_id: str` Skill ID - `type: Literal["anthropic", "custom"]` Type of skill - either 'anthropic' (built-in) or 'custom' (user-defined) - `"anthropic"` - `"custom"` - `version: str` Skill version or 'latest' for most recent version - `content: List[BetaContentBlock]` Content generated by the model. This is an array of content blocks, each of which has a `type` that determines its shape. Example: ```json [{"type": "text", "text": "Hi, I'm Claude."}] ``` If the request input `messages` ended with an `assistant` turn, then the response `content` will continue directly from that last turn. You can use this to constrain the model's output. For example, if the input `messages` were: ```json [ {"role": "user", "content": "What's the Greek name for Sun? (A) Sol (B) Helios (C) Sun"}, {"role": "assistant", "content": "The best answer is ("} ] ``` Then the response `content` might be: ```json [{"type": "text", "text": "B)"}] ``` - `class BetaTextBlock: …` - `citations: Optional[List[BetaTextCitation]]` Citations supporting the text block. The type of citation returned will depend on the type of document being cited. Citing a PDF results in `page_location`, plain text results in `char_location`, and content document results in `content_block_location`. - `class BetaCitationCharLocation: …` - `cited_text: str` - `document_index: int` - `document_title: Optional[str]` - `end_char_index: int` - `file_id: Optional[str]` - `start_char_index: int` - `type: Literal["char_location"]` - `"char_location"` - `class BetaCitationPageLocation: …` - `cited_text: str` - `document_index: int` - `document_title: Optional[str]` - `end_page_number: int` - `file_id: Optional[str]` - `start_page_number: int` - `type: Literal["page_location"]` - `"page_location"` - `class BetaCitationContentBlockLocation: …` - `cited_text: str` The full text of the cited block range, concatenated. Always equals the contents of `content[start_block_index:end_block_index]` joined together. The text block is the minimal citable unit; this field is never a substring of a single block. Not counted toward output tokens, and not counted toward input tokens when sent back in subsequent turns. - `document_index: int` - `document_title: Optional[str]` - `end_block_index: int` Exclusive 0-based end index of the cited block range in the source's `content` array. Always greater than `start_block_index`; a single-block citation has `end_block_index = start_block_index + 1`. - `file_id: Optional[str]` - `start_block_index: int` 0-based index of the first cited block in the source's `content` array. - `type: Literal["content_block_location"]` - `"content_block_location"` - `class BetaCitationsWebSearchResultLocation: …` - `cited_text: str` - `encrypted_index: str` - `title: Optional[str]` - `type: Literal["web_search_result_location"]` - `"web_search_result_location"` - `url: str` - `class BetaCitationSearchResultLocation: …` - `cited_text: str` The full text of the cited block range, concatenated. Always equals the contents of `content[start_block_index:end_block_index]` joined together. The text block is the minimal citable unit; this field is never a substring of a single block. Not counted toward output tokens, and not counted toward input tokens when sent back in subsequent turns. - `end_block_index: int` Exclusive 0-based end index of the cited block range in the source's `content` array. Always greater than `start_block_index`; a single-block citation has `end_block_index = start_block_index + 1`. - `search_result_index: int` 0-based index of the cited search result among all `search_result` content blocks in the request, in the order they appear across messages and tool results. Counted separately from `document_index`; server-side web search results are not included in this count. - `source: str` - `start_block_index: int` 0-based index of the first cited block in the source's `content` array. - `title: Optional[str]` - `type: Literal["search_result_location"]` - `"search_result_location"` - `text: str` - `type: Literal["text"]` - `"text"` - `class BetaThinkingBlock: …` - `signature: str` - `thinking: str` - `type: Literal["thinking"]` - `"thinking"` - `class BetaRedactedThinkingBlock: …` - `data: str` - `type: Literal["redacted_thinking"]` - `"redacted_thinking"` - `class BetaToolUseBlock: …` - `id: str` - `input: Dict[str, object]` - `name: str` - `type: Literal["tool_use"]` - `"tool_use"` - `caller: Optional[Caller]` Tool invocation directly from the model. - `class BetaDirectCaller: …` Tool invocation directly from the model. - `type: Literal["direct"]` - `"direct"` - `class BetaServerToolCaller: …` Tool invocation generated by a server-side tool. - `tool_id: str` - `type: Literal["code_execution_20250825"]` - `"code_execution_20250825"` - `class BetaServerToolCaller20260120: …` - `tool_id: str` - `type: Literal["code_execution_20260120"]` - `"code_execution_20260120"` - `class BetaServerToolUseBlock: …` - `id: str` - `input: Dict[str, object]` - `name: Literal["advisor", "web_search", "web_fetch", 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: Literal["server_tool_use"]` - `"server_tool_use"` - `caller: Optional[Caller]` Tool invocation directly from the model. - `class BetaDirectCaller: …` Tool invocation directly from the model. - `class BetaServerToolCaller: …` Tool invocation generated by a server-side tool. - `class BetaServerToolCaller20260120: …` - `class BetaWebSearchToolResultBlock: …` - `content: BetaWebSearchToolResultBlockContent` - `class BetaWebSearchToolResultError: …` - `error_code: BetaWebSearchToolResultErrorCode` - `"invalid_tool_input"` - `"unavailable"` - `"max_uses_exceeded"` - `"too_many_requests"` - `"query_too_long"` - `"request_too_large"` - `type: Literal["web_search_tool_result_error"]` - `"web_search_tool_result_error"` - `List[BetaWebSearchResultBlock]` - `encrypted_content: str` - `page_age: Optional[str]` - `title: str` - `type: Literal["web_search_result"]` - `"web_search_result"` - `url: str` - `tool_use_id: str` - `type: Literal["web_search_tool_result"]` - `"web_search_tool_result"` - `caller: Optional[Caller]` Tool invocation directly from the model. - `class BetaDirectCaller: …` Tool invocation directly from the model. - `class BetaServerToolCaller: …` Tool invocation generated by a server-side tool. - `class BetaServerToolCaller20260120: …` - `class BetaWebFetchToolResultBlock: …` - `content: Content` - `class BetaWebFetchToolResultErrorBlock: …` - `error_code: BetaWebFetchToolResultErrorCode` - `"invalid_tool_input"` - `"url_too_long"` - `"url_not_allowed"` - `"url_not_in_prior_context"` - `"url_not_accessible"` - `"unsupported_content_type"` - `"too_many_requests"` - `"max_uses_exceeded"` - `"unavailable"` - `type: Literal["web_fetch_tool_result_error"]` - `"web_fetch_tool_result_error"` - `class BetaWebFetchBlock: …` - `content: BetaDocumentBlock` - `citations: Optional[BetaCitationConfig]` Citation configuration for the document - `enabled: bool` - `source: Source` - `class BetaBase64PDFSource: …` - `data: str` - `media_type: Literal["application/pdf"]` - `"application/pdf"` - `type: Literal["base64"]` - `"base64"` - `class BetaPlainTextSource: …` - `data: str` - `media_type: Literal["text/plain"]` - `"text/plain"` - `type: Literal["text"]` - `"text"` - `title: Optional[str]` The title of the document - `type: Literal["document"]` - `"document"` - `retrieved_at: Optional[str]` ISO 8601 timestamp when the content was retrieved - `type: Literal["web_fetch_result"]` - `"web_fetch_result"` - `url: str` Fetched content URL - `tool_use_id: str` - `type: Literal["web_fetch_tool_result"]` - `"web_fetch_tool_result"` - `caller: Optional[Caller]` Tool invocation directly from the model. - `class BetaDirectCaller: …` Tool invocation directly from the model. - `class BetaServerToolCaller: …` Tool invocation generated by a server-side tool. - `class BetaServerToolCaller20260120: …` - `class BetaAdvisorToolResultBlock: …` - `content: Content` - `class BetaAdvisorToolResultError: …` - `error_code: Literal["max_uses_exceeded", "prompt_too_long", "too_many_requests", 3 more]` - `"max_uses_exceeded"` - `"prompt_too_long"` - `"too_many_requests"` - `"overloaded"` - `"unavailable"` - `"execution_time_exceeded"` - `type: Literal["advisor_tool_result_error"]` - `"advisor_tool_result_error"` - `class BetaAdvisorResultBlock: …` - `stop_reason: Optional[str]` The advisor sub-inference's stop reason (same values as the top-level message `stop_reason`). `max_tokens` indicates the advisor's output was truncated at the tool's `max_tokens` value or the advisor model's policy cap. - `text: str` - `type: Literal["advisor_result"]` - `"advisor_result"` - `class BetaAdvisorRedactedResultBlock: …` - `encrypted_content: str` Opaque blob containing the advisor's output. Round-trip verbatim; do not inspect or modify. - `stop_reason: Optional[str]` The advisor sub-inference's stop reason (same values as the top-level message `stop_reason`). - `type: Literal["advisor_redacted_result"]` - `"advisor_redacted_result"` - `tool_use_id: str` - `type: Literal["advisor_tool_result"]` - `"advisor_tool_result"` - `class BetaCodeExecutionToolResultBlock: …` - `content: BetaCodeExecutionToolResultBlockContent` Code execution result with encrypted stdout for PFC + web_search results. - `class BetaCodeExecutionToolResultError: …` - `error_code: BetaCodeExecutionToolResultErrorCode` - `"invalid_tool_input"` - `"unavailable"` - `"too_many_requests"` - `"execution_time_exceeded"` - `type: Literal["code_execution_tool_result_error"]` - `"code_execution_tool_result_error"` - `class BetaCodeExecutionResultBlock: …` - `content: List[BetaCodeExecutionOutputBlock]` - `file_id: str` - `type: Literal["code_execution_output"]` - `"code_execution_output"` - `return_code: int` - `stderr: str` - `stdout: str` - `type: Literal["code_execution_result"]` - `"code_execution_result"` - `class BetaEncryptedCodeExecutionResultBlock: …` Code execution result with encrypted stdout for PFC + web_search results. - `content: List[BetaCodeExecutionOutputBlock]` - `file_id: str` - `type: Literal["code_execution_output"]` - `encrypted_stdout: str` - `return_code: int` - `stderr: str` - `type: Literal["encrypted_code_execution_result"]` - `"encrypted_code_execution_result"` - `tool_use_id: str` - `type: Literal["code_execution_tool_result"]` - `"code_execution_tool_result"` - `class BetaBashCodeExecutionToolResultBlock: …` - `content: Content` - `class BetaBashCodeExecutionToolResultError: …` - `error_code: Literal["invalid_tool_input", "unavailable", "too_many_requests", 2 more]` - `"invalid_tool_input"` - `"unavailable"` - `"too_many_requests"` - `"execution_time_exceeded"` - `"output_file_too_large"` - `type: Literal["bash_code_execution_tool_result_error"]` - `"bash_code_execution_tool_result_error"` - `class BetaBashCodeExecutionResultBlock: …` - `content: List[BetaBashCodeExecutionOutputBlock]` - `file_id: str` - `type: Literal["bash_code_execution_output"]` - `"bash_code_execution_output"` - `return_code: int` - `stderr: str` - `stdout: str` - `type: Literal["bash_code_execution_result"]` - `"bash_code_execution_result"` - `tool_use_id: str` - `type: Literal["bash_code_execution_tool_result"]` - `"bash_code_execution_tool_result"` - `class BetaTextEditorCodeExecutionToolResultBlock: …` - `content: Content` - `class BetaTextEditorCodeExecutionToolResultError: …` - `error_code: Literal["invalid_tool_input", "unavailable", "too_many_requests", 2 more]` - `"invalid_tool_input"` - `"unavailable"` - `"too_many_requests"` - `"execution_time_exceeded"` - `"file_not_found"` - `error_message: Optional[str]` - `type: Literal["text_editor_code_execution_tool_result_error"]` - `"text_editor_code_execution_tool_result_error"` - `class BetaTextEditorCodeExecutionViewResultBlock: …` - `content: str` - `file_type: Literal["text", "image", "pdf"]` - `"text"` - `"image"` - `"pdf"` - `num_lines: Optional[int]` - `start_line: Optional[int]` - `total_lines: Optional[int]` - `type: Literal["text_editor_code_execution_view_result"]` - `"text_editor_code_execution_view_result"` - `class BetaTextEditorCodeExecutionCreateResultBlock: …` - `is_file_update: bool` - `type: Literal["text_editor_code_execution_create_result"]` - `"text_editor_code_execution_create_result"` - `class BetaTextEditorCodeExecutionStrReplaceResultBlock: …` - `lines: Optional[List[str]]` - `new_lines: Optional[int]` - `new_start: Optional[int]` - `old_lines: Optional[int]` - `old_start: Optional[int]` - `type: Literal["text_editor_code_execution_str_replace_result"]` - `"text_editor_code_execution_str_replace_result"` - `tool_use_id: str` - `type: Literal["text_editor_code_execution_tool_result"]` - `"text_editor_code_execution_tool_result"` - `class BetaToolSearchToolResultBlock: …` - `content: Content` - `class BetaToolSearchToolResultError: …` - `error_code: Literal["invalid_tool_input", "unavailable", "too_many_requests", "execution_time_exceeded"]` - `"invalid_tool_input"` - `"unavailable"` - `"too_many_requests"` - `"execution_time_exceeded"` - `error_message: Optional[str]` - `type: Literal["tool_search_tool_result_error"]` - `"tool_search_tool_result_error"` - `class BetaToolSearchToolSearchResultBlock: …` - `tool_references: List[BetaToolReferenceBlock]` - `tool_name: str` - `type: Literal["tool_reference"]` - `"tool_reference"` - `type: Literal["tool_search_tool_search_result"]` - `"tool_search_tool_search_result"` - `tool_use_id: str` - `type: Literal["tool_search_tool_result"]` - `"tool_search_tool_result"` - `class BetaMCPToolUseBlock: …` - `id: str` - `input: Dict[str, object]` - `name: str` The name of the MCP tool - `server_name: str` The name of the MCP server - `type: Literal["mcp_tool_use"]` - `"mcp_tool_use"` - `class BetaMCPToolResultBlock: …` - `content: Union[str, List[BetaTextBlock]]` - `str` - `List[BetaTextBlock]` - `citations: Optional[List[BetaTextCitation]]` Citations supporting the text block. The type of citation returned will depend on the type of document being cited. Citing a PDF results in `page_location`, plain text results in `char_location`, and content document results in `content_block_location`. - `text: str` - `type: Literal["text"]` - `is_error: bool` - `tool_use_id: str` - `type: Literal["mcp_tool_result"]` - `"mcp_tool_result"` - `class BetaContainerUploadBlock: …` Response model for a file uploaded to the container. - `file_id: str` - `type: Literal["container_upload"]` - `"container_upload"` - `class BetaCompactionBlock: …` 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: Optional[str]` Summary of compacted content, or null if compaction failed - `encrypted_content: Optional[str]` Opaque metadata from prior compaction, to be round-tripped verbatim - `type: Literal["compaction"]` - `"compaction"` - `context_management: Optional[BetaContextManagementResponse]` Context management response. Information about context management strategies applied during the request. - `applied_edits: List[AppliedEdit]` List of context management edits that were applied. - `class BetaClearToolUses20250919EditResponse: …` - `cleared_input_tokens: int` Number of input tokens cleared by this edit. - `cleared_tool_uses: int` Number of tool uses that were cleared. - `type: Literal["clear_tool_uses_20250919"]` The type of context management edit applied. - `"clear_tool_uses_20250919"` - `class BetaClearThinking20251015EditResponse: …` - `cleared_input_tokens: int` Number of input tokens cleared by this edit. - `cleared_thinking_turns: int` Number of thinking turns that were cleared. - `type: Literal["clear_thinking_20251015"]` The type of context management edit applied. - `"clear_thinking_20251015"` - `diagnostics: Optional[BetaDiagnostics]` Response envelope for request-level diagnostics. Present (possibly null) whenever the caller supplied `diagnostics` on the request. - `cache_miss_reason: Optional[CacheMissReason]` Explains why the prompt cache could not fully reuse the prefix from the request identified by `diagnostics.previous_message_id`. `null` means diagnosis is still pending — the response was serialized before the background comparison completed. - `class BetaCacheMissModelChanged: …` - `cache_missed_input_tokens: int` Approximate number of input tokens that would have been read from cache had the prefix matched the previous request. - `type: Literal["model_changed"]` - `"model_changed"` - `class BetaCacheMissSystemChanged: …` - `cache_missed_input_tokens: int` Approximate number of input tokens that would have been read from cache had the prefix matched the previous request. - `type: Literal["system_changed"]` - `"system_changed"` - `class BetaCacheMissToolsChanged: …` - `cache_missed_input_tokens: int` Approximate number of input tokens that would have been read from cache had the prefix matched the previous request. - `type: Literal["tools_changed"]` - `"tools_changed"` - `class BetaCacheMissMessagesChanged: …` - `cache_missed_input_tokens: int` Approximate number of input tokens that would have been read from cache had the prefix matched the previous request. - `type: Literal["messages_changed"]` - `"messages_changed"` - `class BetaCacheMissPreviousMessageNotFound: …` - `type: Literal["previous_message_not_found"]` - `"previous_message_not_found"` - `class BetaCacheMissUnavailable: …` - `type: Literal["unavailable"]` - `"unavailable"` - `model: Model` The model that will complete your prompt. See [models](https://docs.anthropic.com/en/docs/models-overview) for additional details and options. - `Literal["claude-opus-4-8", "claude-opus-4-7", "claude-mythos-preview", 15 more]` The model that will complete your prompt. See [models](https://docs.anthropic.com/en/docs/models-overview) for additional details and options. - `claude-opus-4-8` - Frontier intelligence for long-running agents and coding - `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` - Deprecated: Will reach end-of-life on June 15th, 2026. Please migrate to a newer model. Visit https://docs.anthropic.com/en/docs/resources/model-deprecations for more information. - `claude-opus-4-20250514` - Deprecated: Will reach end-of-life on June 15th, 2026. Please migrate to a newer model. Visit https://docs.anthropic.com/en/docs/resources/model-deprecations for more information. - `claude-sonnet-4-0` - Deprecated: Will reach end-of-life on June 15th, 2026. Please migrate to a newer model. Visit https://docs.anthropic.com/en/docs/resources/model-deprecations for more information. - `claude-sonnet-4-20250514` - Deprecated: Will reach end-of-life on June 15th, 2026. Please migrate to a newer model. Visit https://docs.anthropic.com/en/docs/resources/model-deprecations for more information. - `claude-3-haiku-20240307` - Deprecated: Will reach end-of-life on April 20th, 2026. Please migrate to claude-haiku-4-5. Visit https://docs.anthropic.com/en/docs/resources/model-deprecations for more information. - `"claude-opus-4-8"` Frontier intelligence for long-running agents and coding - `"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 - `str` - `role: Literal["assistant"]` Conversational role of the generated message. This will always be `"assistant"`. - `"assistant"` - `stop_details: Optional[BetaRefusalStopDetails]` Structured information about a refusal. - `category: Optional[Literal["cyber", "bio"]]` The policy category that triggered the refusal. `null` when the refusal doesn't map to a named category. - `"cyber"` - `"bio"` - `explanation: Optional[str]` Human-readable explanation of the refusal. This text is not guaranteed to be stable. `null` when no explanation is available for the category. - `type: Literal["refusal"]` - `"refusal"` - `stop_reason: Optional[BetaStopReason]` The reason that we stopped. This may be one the following values: * `"end_turn"`: the model reached a natural stopping point * `"max_tokens"`: we exceeded the requested `max_tokens` or the model's maximum * `"stop_sequence"`: one of your provided custom `stop_sequences` was 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_start` event and non-null otherwise. - `"end_turn"` - `"max_tokens"` - `"stop_sequence"` - `"tool_use"` - `"pause_turn"` - `"compaction"` - `"refusal"` - `"model_context_window_exceeded"` - `stop_sequence: Optional[str]` Which 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: Literal["message"]` Object type. For Messages, this is always `"message"`. - `"message"` - `usage: BetaUsage` Billing 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 `usage` will not match one-to-one with the exact visible content of an API request or response. For example, `output_tokens` will 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`, and `cache_read_input_tokens`. - `cache_creation: Optional[BetaCacheCreation]` Breakdown of cached tokens by TTL - `ephemeral_1h_input_tokens: int` The number of input tokens used to create the 1 hour cache entry. - `ephemeral_5m_input_tokens: int` The number of input tokens used to create the 5 minute cache entry. - `cache_creation_input_tokens: Optional[int]` The number of input tokens used to create the cache entry. - `cache_read_input_tokens: Optional[int]` The number of input tokens read from the cache. - `inference_geo: Optional[str]` The geographic region where inference was performed for this request. - `input_tokens: int` The number of input tokens which were used. - `iterations: Optional[BetaIterationsUsage]` Per-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 - `class BetaMessageIterationUsage: …` Token usage for a sampling iteration. - `cache_creation: Optional[BetaCacheCreation]` Breakdown of cached tokens by TTL - `cache_creation_input_tokens: int` The number of input tokens used to create the cache entry. - `cache_read_input_tokens: int` The number of input tokens read from the cache. - `input_tokens: int` The number of input tokens which were used. - `output_tokens: int` The number of output tokens which were used. - `type: Literal["message"]` Usage for a sampling iteration - `"message"` - `class BetaCompactionIterationUsage: …` Token usage for a compaction iteration. - `cache_creation: Optional[BetaCacheCreation]` Breakdown of cached tokens by TTL - `cache_creation_input_tokens: int` The number of input tokens used to create the cache entry. - `cache_read_input_tokens: int` The number of input tokens read from the cache. - `input_tokens: int` The number of input tokens which were used. - `output_tokens: int` The number of output tokens which were used. - `type: Literal["compaction"]` Usage for a compaction iteration - `"compaction"` - `class BetaAdvisorMessageIterationUsage: …` Token usage for an advisor sub-inference iteration. - `cache_creation: Optional[BetaCacheCreation]` Breakdown of cached tokens by TTL - `cache_creation_input_tokens: int` The number of input tokens used to create the cache entry. - `cache_read_input_tokens: int` The number of input tokens read from the cache. - `input_tokens: int` The number of input tokens which were used. - `model: Model` The model that will complete your prompt. See [models](https://docs.anthropic.com/en/docs/models-overview) for additional details and options. - `output_tokens: int` The number of output tokens which were used. - `type: Literal["advisor_message"]` Usage for an advisor sub-inference iteration - `"advisor_message"` - `output_tokens: int` The number of output tokens which were used. - `output_tokens_details: Optional[BetaOutputTokensDetails]` Breakdown of output tokens by category. `output_tokens` remains the inclusive, authoritative total used for billing. This object provides a read-only decomposition for observability — for example, how many of the billed output tokens were spent on internal reasoning that may have been summarized before being returned to you. - `thinking_tokens: int` Number of output tokens the model generated as internal reasoning, including the thinking-block delimiter tokens. Reflects the raw reasoning the model produced, not the (possibly shorter) summarized thinking text returned in the response body. Computed by re-tokenizing the raw reasoning text, so it may differ from the model's exact generation count by a small number of tokens. Always ≤ `output_tokens`; `output_tokens - thinking_tokens` approximates the non-reasoning output. - `server_tool_use: Optional[BetaServerToolUsage]` The number of server tool requests. - `web_fetch_requests: int` The number of web fetch tool requests. - `web_search_requests: int` The number of web search tool requests. - `service_tier: Optional[Literal["standard", "priority", "batch"]]` If the request used the priority, standard, or batch tier. - `"standard"` - `"priority"` - `"batch"` - `speed: Optional[Literal["standard", "fast"]]` The inference speed mode used for this request. - `"standard"` - `"fast"` - `type: Literal["succeeded"]` - `"succeeded"`