## List Extract Agents `ExtractionAgentListPage extractionAgents().list(ExtractionAgentListParamsparams = ExtractionAgentListParams.none(), RequestOptionsrequestOptions = RequestOptions.none())` **get** `/api/v1/beta/extraction-agents` List the extraction agents in a project, newest first. ### Parameters - `ExtractionAgentListParams params` - `Optional includeDefault` Whether to include default agents in the results - `Optional organizationId` - `Optional pageSize` Number of items per page - `Optional pageToken` Cursor from the previous page's `next_page_token`. - `Optional projectId` ### Returns - `class ExtractAgent:` Schema and configuration for an extraction agent. - `String id` The id of the extraction agent. - `Config config` The configuration parameters for the extraction agent. - `Optional chunkMode` The mode to use for chunking the document. - `PAGE("PAGE")` - `SECTION("SECTION")` - `Optional citationBbox` Whether to fetch citation bounding boxes for the extraction. Only available in PREMIUM mode. Deprecated: this is now synonymous with cite_sources. - `Optional citeSources` Whether to cite sources for the extraction. - `Optional confidenceScores` Whether to fetch confidence scores for the extraction. - `Optional extractModel` The extract model to use for data extraction. If not provided, uses the default for the extraction mode. - `GEMINI_2_0_FLASH("gemini-2.0-flash")` - `GEMINI_2_5_FLASH("gemini-2.5-flash")` - `GEMINI_2_5_FLASH_LITE("gemini-2.5-flash-lite")` - `GEMINI_2_5_PRO("gemini-2.5-pro")` - `OPENAI_GPT_4_1("openai-gpt-4-1")` - `OPENAI_GPT_4_1_MINI("openai-gpt-4-1-mini")` - `OPENAI_GPT_4_1_NANO("openai-gpt-4-1-nano")` - `OPENAI_GPT_4O("openai-gpt-4o")` - `OPENAI_GPT_4O_MINI("openai-gpt-4o-mini")` - `OPENAI_GPT_5("openai-gpt-5")` - `OPENAI_GPT_5_MINI("openai-gpt-5-mini")` - `Optional extractionMode` The extraction mode specified (FAST, BALANCED, MULTIMODAL, PREMIUM). - `BALANCED("BALANCED")` - `FAST("FAST")` - `MULTIMODAL("MULTIMODAL")` - `PREMIUM("PREMIUM")` - `Optional extractionTarget` The extraction target specified. - `PER_DOC("PER_DOC")` - `PER_PAGE("PER_PAGE")` - `PER_TABLE_ROW("PER_TABLE_ROW")` - `Optional highResolutionMode` Whether to use high resolution mode for the extraction. - `Optional invalidateCache` Whether to invalidate the cache for the extraction. - `Optional multimodalFastMode` DEPRECATED: Whether to use fast mode for multimodal extraction. - `Optional numPagesContext` Number of pages to pass as context on long document extraction. - `Optional pageRange` Comma-separated list of page numbers or ranges to extract from (1-based, e.g., '1,3,5-7,9' or '1-3,8-10'). - `Optional parseModel` Public model names. - `ANTHROPIC_HAIKU_3_5("anthropic-haiku-3.5")` - `ANTHROPIC_HAIKU_4_5("anthropic-haiku-4.5")` - `ANTHROPIC_SONNET_3_5("anthropic-sonnet-3.5")` - `ANTHROPIC_SONNET_3_5_V2("anthropic-sonnet-3.5-v2")` - `ANTHROPIC_SONNET_3_7("anthropic-sonnet-3.7")` - `ANTHROPIC_SONNET_4_0("anthropic-sonnet-4.0")` - `ANTHROPIC_SONNET_4_5("anthropic-sonnet-4.5")` - `GEMINI_2_0_FLASH("gemini-2.0-flash")` - `GEMINI_2_0_FLASH_LITE("gemini-2.0-flash-lite")` - `GEMINI_2_5_FLASH("gemini-2.5-flash")` - `GEMINI_2_5_FLASH_LITE("gemini-2.5-flash-lite")` - `GEMINI_2_5_PRO("gemini-2.5-pro")` - `GEMINI_3_0_PRO("gemini-3.0-pro")` - `GEMINI_3_1_PRO("gemini-3.1-pro")` - `OPENAI_GPT_4_1("openai-gpt-4-1")` - `OPENAI_GPT_4_1_MINI("openai-gpt-4-1-mini")` - `OPENAI_GPT_4_1_NANO("openai-gpt-4-1-nano")` - `OPENAI_GPT_4O("openai-gpt-4o")` - `OPENAI_GPT_4O_MINI("openai-gpt-4o-mini")` - `OPENAI_GPT_5("openai-gpt-5")` - `OPENAI_GPT_5_MINI("openai-gpt-5-mini")` - `OPENAI_GPT_5_NANO("openai-gpt-5-nano")` - `OPENAI_TEXT_EMBEDDING_3_LARGE("openai-text-embedding-3-large")` - `OPENAI_TEXT_EMBEDDING_3_SMALL("openai-text-embedding-3-small")` - `OPENAI_WHISPER_1("openai-whisper-1")` - `Optional priority` The priority for the request. This field may be ignored or overwritten depending on the organization tier. - `CRITICAL("critical")` - `HIGH("high")` - `LOW("low")` - `MEDIUM("medium")` - `Optional systemPrompt` The system prompt to use for the extraction. - `Optional useReasoning` Whether to use reasoning for the extraction. - `DataSchema dataSchema` The schema of the data. - `class UnionMember0:` - `List` - `String` - `double` - `boolean` - `String name` The name of the extraction agent. - `String projectId` The ID of the project that the extraction agent belongs to. - `Optional createdAt` The creation time of the extraction agent. - `Optional customConfiguration` Custom configuration type for the extraction agent. Currently supports 'default'. - `DEFAULT("default")` - `Optional updatedAt` The last update time of the extraction agent. ### Example ```java package ai.llamaindex.llamacloud.example; import ai.llamaindex.llamacloud.client.LlamaCloudClient; import ai.llamaindex.llamacloud.client.okhttp.LlamaCloudOkHttpClient; import ai.llamaindex.llamacloud.models.extractionagents.ExtractionAgentListPage; import ai.llamaindex.llamacloud.models.extractionagents.ExtractionAgentListParams; public final class Main { private Main() {} public static void main(String[] args) { LlamaCloudClient client = LlamaCloudOkHttpClient.fromEnv(); ExtractionAgentListPage page = client.extractionAgents().list(); } } ``` #### Response ```json { "items": [ { "id": "182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e", "config": { "chunk_mode": "PAGE", "citation_bbox": true, "cite_sources": true, "confidence_scores": true, "extract_model": "gemini-2.0-flash", "extraction_mode": "BALANCED", "extraction_target": "PER_DOC", "high_resolution_mode": true, "invalidate_cache": true, "multimodal_fast_mode": true, "num_pages_context": 1, "page_range": "page_range", "parse_model": "anthropic-haiku-3.5", "priority": "critical", "system_prompt": "system_prompt", "use_reasoning": true }, "data_schema": { "foo": { "foo": "bar" } }, "name": "name", "project_id": "182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e", "created_at": "2019-12-27T18:11:19.117Z", "custom_configuration": "default", "updated_at": "2019-12-27T18:11:19.117Z" } ], "next_page_token": "next_page_token", "total_size": 0 } ```