> ## Documentation Index > Fetch the complete documentation index at: https://openrouter.ai/docs/llms.txt > Use this file to discover all available pages before exploring further. # List batches > Lists batches in the workspace of the authenticating API key, newest first. To fetch the next page, pass the previous page's `last_id` as `after`. List items omit `results`. Use `GET /batches/{id}` to get them. See the [Batch API Quickstart](https://openrouter.ai/docs/batch-quickstart). ## OpenAPI ````yaml /openapi/openapi.yaml get /batches openapi: 3.1.0 info: contact: email: support@openrouter.ai name: OpenRouter Support url: https://openrouter.ai/docs description: OpenAI-compatible API with additional OpenRouter features license: name: MIT url: https://opensource.org/licenses/MIT title: OpenRouter API version: 1.0.0 servers: - description: Production server url: https://openrouter.ai/api/v1 x-speakeasy-server-id: production security: - apiKey: [] tags: - description: API key management endpoints name: API Keys - description: Analytics and usage endpoints name: Analytics - description: Anthropic Messages endpoints name: Anthropic Messages - description: BYOK endpoints name: BYOK - description: >- Submit, list, poll, and delete asynchronous batches of inference requests. See https://openrouter.ai/docs/batch-quickstart. name: Batch - description: Benchmarks endpoints name: Benchmarks - description: Chat completion endpoints name: Chat - description: Task classification market-share endpoints name: Classifications - description: Containers endpoints name: Containers - description: Credit management endpoints name: Credits - description: >- Public OpenRouter usage datasets. Data returned by these endpoints is licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/): reuse and republish it, including commercially, with attribution to OpenRouter. name: Datasets - description: Text embedding endpoints name: Embeddings - description: Endpoint information name: Endpoints - description: Files endpoints name: Files - description: Generation history endpoints name: Generations - description: Guardrails endpoints name: Guardrails - description: Images endpoints name: Images - description: >- Create, inspect, update, provision, suspend and delete OpenRouter interns through an API key, and talk to them: the chat route streams OpenAI-compatible completions from one intern, pausing as an `openrouter.provide_input` tool call when the intern needs your permission or an answer. Available to interns programme members; other callers receive 404. See https://openrouter.ai/docs/guides/ori/intern-chat. name: Interns - description: Model information endpoints name: Models - description: OAuth authentication endpoints name: OAuth - description: Observability endpoints name: Observability - description: Organization endpoints name: Organization - description: Presets endpoints name: Presets - description: Provider information endpoints name: Providers - description: Rerank endpoints name: Rerank - description: OpenAI-compatible Responses API endpoints name: Responses - description: >- Management endpoints for SCIM group-to-workspace mappings, authenticated with a management key. These are not the SCIM 2.0 connector endpoints for your identity provider. In your identity provider, enter the SCIM endpoint URL shown when you enable provisioning under Settings > Members > SCIM Mappings. See https://openrouter.ai/docs/guides/features/scim-mappings#set-up-provisioning. name: SCIM - description: Speech-to-text endpoints name: STT x-displayName: Transcriptions - description: >- System One endpoints for models such as Jev, compatible with the TypeSafe SDKs. See https://openrouter.ai/docs/guides/community/typesafe-sdk. name: SystemOne x-displayName: System One - description: Text-to-speech endpoints name: TTS x-displayName: Speech - description: >- Store host-bound secrets for a workspace or for one intern. Scope is selected by the API key. Responses return metadata only, never secret values. See https://openrouter.ai/docs/guides/ori/vault. name: Vault - description: Video Generation endpoints name: Video Generation - description: Workspaces endpoints name: Workspaces - description: Alpha feature endpoints for Decisions requests name: alpha.decisions externalDocs: description: OpenRouter Documentation url: https://openrouter.ai/docs paths: /batches: get: tags: - Batch summary: List batches description: >- Lists batches in the workspace of the authenticating API key, newest first. To fetch the next page, pass the previous page's `last_id` as `after`. List items omit `results`. Use `GET /batches/{id}` to get them. See the [Batch API Quickstart](https://openrouter.ai/docs/batch-quickstart). operationId: listBatches parameters: - description: Maximum number of batches to return, from 1 through 100. in: query name: limit required: false schema: description: Maximum number of batches to return, from 1 through 100. example: 20 type: integer - description: Batch id from the previous page's `last_id`. in: query name: after required: false schema: description: Batch id from the previous page's `last_id`. example: batch_7a4b02 minLength: 1 type: string - description: Repeat this parameter to include more than one status. explode: true in: query name: status required: false schema: description: Repeat this parameter to include more than one status. example: - completed - failed items: $ref: '#/components/schemas/BatchListStatus' type: array style: form - description: Only include batches created strictly after this timestamp. in: query name: created_after required: false schema: $ref: '#/components/schemas/BatchListTimestamp' - description: Only include batches created strictly before this timestamp. in: query name: created_before required: false schema: allOf: - $ref: '#/components/schemas/BatchListTimestamp' - description: Only include batches created strictly before this timestamp. responses: '200': content: application/json: schema: $ref: '#/components/schemas/BatchListResponse' description: A newest-first page of batches. '400': content: application/json: example: error: code: 400 message: Invalid batch list query. schema: $ref: '#/components/schemas/BatchErrorResponse' description: Malformed or unsupported batch list query parameters. '401': content: application/json: example: error: code: 401 message: No auth credentials found. schema: $ref: '#/components/schemas/BatchErrorResponse' description: Missing or invalid API key. '429': content: application/json: example: error: code: 429 message: Rate limit exceeded. schema: $ref: '#/components/schemas/BatchErrorResponse' description: Batch API rate limit exceeded for the billable entity. '500': content: application/json: example: error: code: 500 message: Internal server error. schema: $ref: '#/components/schemas/BatchErrorResponse' description: Unexpected error in the ingress or upstream batch-api. '502': content: application/json: example: error: code: 502 message: Upstream batch-api is unavailable. schema: $ref: '#/components/schemas/BatchErrorResponse' description: >- The batch service is unavailable, or an upstream provider operation failed, including batch or file cleanup. components: schemas: BatchListStatus: description: >- A batch status that is durably represented by the list data source. `finalizing` and `cancelling` are not accepted because stored jobs collapse those phases into `in_progress`. enum: - validating - in_progress - completed - failed - expired - cancelled example: completed type: string BatchListTimestamp: anyOf: - pattern: ^\d+$ type: string - anyOf: - format: date type: string - format: date-time type: string description: Only include batches created strictly after this timestamp. example: '2026-08-20T00:00:00Z' BatchListResponse: description: A newest-first page of metadata-only batch objects. example: data: [] first_id: null has_more: false last_id: null object: list properties: data: items: $ref: '#/components/schemas/BatchListItem' type: array first_id: type: - string - 'null' has_more: type: boolean last_id: type: - string - 'null' object: enum: - list type: string required: - object - data - first_id - last_id - has_more type: object BatchErrorResponse: example: error: code: 400 message: custom_id is required on requests[0]. properties: error: properties: code: type: integer message: type: string required: - code - message type: object required: - error type: object BatchListItem: description: >- Metadata-only batch object. `results` is always `null` in list responses. properties: completion_window: enum: - 24h type: string created_at: type: integer endpoint: type: string error: properties: message: type: string required: - message type: - object - 'null' finalized_at: type: - integer - 'null' id: type: string model: type: string object: enum: - batch type: string request_counts: properties: completed: type: integer failed: type: integer total: type: integer required: - total - completed - failed type: object results: description: >- Always null: retrieve the batch with `GET /batches/{id}` to access its results. type: 'null' status: enum: - validating - in_progress - finalizing - completed - failed - expired - cancelling - cancelled type: string usage: properties: cache_creation: $ref: '#/components/schemas/AnthropicCacheCreation' completion_tokens: description: The tokens generated type: integer completion_tokens_details: properties: audio_tokens: description: Tokens generated by the model for audio output. type: - integer - 'null' image_tokens: description: Tokens generated by the model for image output. type: - integer - 'null' reasoning_tokens: description: Tokens generated by the model for reasoning. type: - integer - 'null' type: - object - 'null' cost: description: Cost of the completion format: double type: - number - 'null' cost_details: $ref: '#/components/schemas/CostDetails' is_byok: description: >- Whether a request was made using a Bring Your Own Key configuration type: boolean iterations: items: $ref: '#/components/schemas/AnthropicUsageIteration' type: - array - 'null' prompt_tokens: description: Including images, input audio, and tools if any type: integer prompt_tokens_details: description: Breakdown of tokens used in the prompt. properties: audio_tokens: description: Tokens used for input audio. type: - integer - 'null' cache_write_tokens: description: >- Tokens written to cache. Only returned for models with explicit caching and cache write pricing. type: - integer - 'null' cached_tokens: description: Tokens cached by the endpoint. type: - integer - 'null' file_tokens: description: Tokens used for input files/documents. type: - integer - 'null' video_tokens: description: Tokens used for input video. type: - integer - 'null' type: - object - 'null' server_tool_use: description: Usage for server-side tool execution (e.g., web search) properties: tool_calls_executed: description: >- Number of OpenRouter server tool calls that executed and produced a result. type: - integer - 'null' tool_calls_requested: description: >- Total number of OpenRouter server-orchestrated tool calls the model requested, across all tool types. Provider-native tools (e.g. native web search) are not counted here. type: - integer - 'null' web_search_requests: description: >- Number of web searches performed by server-side tools. For server-orchestrated tool calls a web search is also counted in tool_calls_requested; provider-native web search may report web_search_requests only. Do not sum the two. type: - integer - 'null' type: - object - 'null' service_tier: description: The service tier used by the upstream provider for this request type: - string - 'null' speed: $ref: '#/components/schemas/AnthropicSpeed' total_tokens: description: Sum of the above two fields type: integer required: - prompt_tokens - completion_tokens - total_tokens type: - object - 'null' required: - id - object - endpoint - model - completion_window - status - created_at - finalized_at - request_counts - usage - error - results type: object AnthropicCacheCreation: example: ephemeral_1h_input_tokens: 0 ephemeral_5m_input_tokens: 100 properties: ephemeral_1h_input_tokens: type: integer ephemeral_5m_input_tokens: type: integer required: - ephemeral_5m_input_tokens - ephemeral_1h_input_tokens type: - object - 'null' CostDetails: description: Breakdown of upstream inference costs example: upstream_inference_completions_cost: 0.0004 upstream_inference_cost: null upstream_inference_prompt_cost: 0.0008 properties: server_tool_cost: description: >- Metered server-tool execution cost (for example, shell sandbox time) billed for this request, in USD. Matches the billed checkpoint and settlement amounts exactly. 0 when a metered server tool ran but settled at zero dollars; absent when no metered server tool ran. format: double type: - number - 'null' upstream_inference_completions_cost: format: double type: number upstream_inference_cost: format: double type: - number - 'null' upstream_inference_prompt_cost: format: double type: number required: - upstream_inference_prompt_cost - upstream_inference_completions_cost type: - object - 'null' AnthropicUsageIteration: anyOf: - $ref: '#/components/schemas/AnthropicCompactionUsageIteration' - $ref: '#/components/schemas/AnthropicMessageUsageIteration' - $ref: '#/components/schemas/AnthropicAdvisorMessageUsageIteration' - $ref: '#/components/schemas/AnthropicUnknownUsageIteration' example: cache_creation: null cache_creation_input_tokens: 0 cache_read_input_tokens: 0 input_tokens: 100 output_tokens: 50 type: message AnthropicSpeed: enum: - fast - standard - null example: standard type: - string - 'null' AnthropicCompactionUsageIteration: allOf: - $ref: '#/components/schemas/AnthropicBaseUsageIteration' - properties: type: enum: - compaction type: string required: - type type: object example: cache_creation: null cache_creation_input_tokens: 0 cache_read_input_tokens: 0 input_tokens: 50 output_tokens: 25 type: compaction AnthropicMessageUsageIteration: allOf: - $ref: '#/components/schemas/AnthropicBaseUsageIteration' - properties: model: type: string type: enum: - message type: string required: - type type: object example: cache_creation: null cache_creation_input_tokens: 0 cache_read_input_tokens: 0 input_tokens: 100 output_tokens: 50 type: message AnthropicAdvisorMessageUsageIteration: allOf: - $ref: '#/components/schemas/AnthropicBaseUsageIteration' - properties: model: type: string type: enum: - advisor_message type: string required: - type - model type: object example: cache_creation: null cache_creation_input_tokens: 0 cache_read_input_tokens: 0 input_tokens: 823 model: claude-opus-4-6 output_tokens: 1612 type: advisor_message AnthropicUnknownUsageIteration: allOf: - $ref: '#/components/schemas/AnthropicBaseUsageIteration' - properties: type: type: string required: - type type: object example: cache_creation: null cache_creation_input_tokens: 0 cache_read_input_tokens: 0 input_tokens: 100 output_tokens: 50 type: unknown AnthropicBaseUsageIteration: example: cache_creation: null cache_creation_input_tokens: 0 cache_read_input_tokens: 0 input_tokens: 100 output_tokens: 50 properties: cache_creation: $ref: '#/components/schemas/AnthropicIterationCacheCreation' cache_creation_input_tokens: type: integer cache_read_input_tokens: type: integer input_tokens: type: integer output_tokens: type: integer type: object AnthropicIterationCacheCreation: default: null example: ephemeral_1h_input_tokens: 0 ephemeral_5m_input_tokens: 0 properties: ephemeral_1h_input_tokens: type: integer ephemeral_5m_input_tokens: type: integer type: - object - 'null' securitySchemes: apiKey: description: API key as bearer token in Authorization header scheme: bearer type: http ````