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Anthropic Claude Batch Processing Automation

Anthropic Claude Batch Processing Automation is a 27-node automation blueprint connecting Anthropic API, LangChain nodes. Inspect its trigger, execution graph, branches, and implementation requirements.

Anthropic APILangChain nodes

Interactive system map

Follow the runtime. Inspect what supports it.

Solid horizontal paths show main-channel execution. Violet dependencies sit beneath the exact step they configure or empower.

27

Nodes

29

Links

2

Run groups

Connected tools

2 integrations

  • Anthropic
  • LangChain

Canvas controls

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Anthropic Claude Batch Processing Automation execution lanes2 run groups containing 27 workflow nodes and 29 visible links. Solid horizontal lines are main-channel runtime links. Violet dashed lines connect typed dependencies beneath the runtime step they support. Focus any node to inspect its immediate path.When Executed by Another Workflow. trigger node, executeWorkflowTrigger. 0 incoming and 1 outgoing connections.STARTWhen Executed by Another …TRIGGEREXECUTEWORKFLOWTRIGGER0 IN / 1 OUTSubmit batch. integration node, httpRequest. 1 incoming and 1 outgoing connections.STEP 02Submit batchINTEGRATIONHTTPREQUEST1 IN / 1 OUTIf ended processing. decision node, if. 2 incoming and 2 outgoing connections.STEP 03If ended processingDECISIONIF2 IN / 2 OUTGet results. integration node, httpRequest. 1 incoming and 1 outgoing connections.STEP 04Get resultsINTEGRATIONHTTPREQUEST1 IN / 1 OUTBatch Status Poll Interval. integration node, wait. 1 incoming and 1 outgoing connections.STEP 05Batch Status Poll IntervalINTEGRATIONWAIT1 IN / 1 OUTParse response. transform node, code. 1 incoming and 1 outgoing connections.STEP 06Parse responseTRANSFORMCODE1 IN / 1 OUTCheck batch status. integration node, httpRequest. 1 incoming and 1 outgoing connections.STEP 07Check batch statusINTEGRATIONHTTPREQUEST1 IN / 1 OUTSplit Out Parsed Results. transform node, splitOut. 1 incoming and 0 outgoing connections.OUTCOMESplit Out Parsed ResultsTRANSFORMSPLITOUT1 IN / 0 OUTRun example. trigger node, manualTrigger. 0 incoming and 2 outgoing connections.STARTRun exampleTRIGGERMANUALTRIGGER0 IN / 2 OUTTruncate Chat Memory. ai node, memoryManager. 2 incoming and 1 outgoing connections.STEP 02Truncate Chat MemoryAIMEMORYMANAGER2 IN / 1 OUTOne query example. transform node, set. 1 incoming and 1 outgoing connections.STEP 02One query exampleTRANSFORMSET1 IN / 1 OUTFill Chat Memory with example data. ai node, memoryManager. 2 incoming and 1 outgoing connections.STEP 03Fill Chat Memory with exa…AIMEMORYMANAGER2 IN / 1 OUTAppend execution data for single query example. transform node, set. 1 incoming and 1 outgoing connections.STEP 03Append execution data for…TRANSFORMSET1 IN / 1 OUTLoad Chat Memory Data. ai node, memoryManager. 2 incoming and 1 outgoing connections.STEP 04Load Chat Memory DataAIMEMORYMANAGER2 IN / 1 OUTBuild batch 'request' object for single query. transform node, code. 1 incoming and 1 outgoing connections.STEP 04Build batch 'request' obj…TRANSFORMCODE1 IN / 1 OUTAppend execution data for chat memory example. transform node, set. 1 incoming and 1 outgoing connections.STEP 05Append execution data for…TRANSFORMSET1 IN / 1 OUTDelete original properties. transform node, set. 1 incoming and 1 outgoing connections.STEP 05Delete original propertiesTRANSFORMSET1 IN / 1 OUTBuild batch 'request' object from Chat Memory and execution data. transform node, code. 1 incoming and 1 outgoing connections.STEP 06Build batch 'request' obj…TRANSFORMCODE1 IN / 1 OUTJoin two example requests into array. decision node, merge. 2 incoming and 1 outgoing connections.STEP 07Join two example requests…DECISIONMERGE2 IN / 1 OUTConstruct 'requests' array. transform node, aggregate. 1 incoming and 1 outgoing connections.STEP 08Construct 'requests' arrayTRANSFORMAGGREGATE1 IN / 1 OUTSet desired 'anthropic-version'. Anthropic node, set. 1 incoming and 1 outgoing connections.STEP 09Set desired 'anthropic-ve…ANTHROPICSET1 IN / 1 OUTExecute Workflow 'Process Multiple Prompts in Parallel with Anthropic Claude Batch API'. Anthropic node, executeWorkflow. 1 incoming and 2 outgoing connections.STEP 10Execute Workflow 'Process…ANTHROPICEXECUTEWORKFLOW1 IN / 2 OUTFilter First Prompt Results. decision node, filter. 1 incoming and 1 outgoing connections.STEP 11Filter First Prompt ResultsDECISIONFILTER1 IN / 1 OUTFilter Second Prompt Results. decision node, filter. 1 incoming and 1 outgoing connections.STEP 11Filter Second Prompt Resu…DECISIONFILTER1 IN / 1 OUTFirst Prompt Result. integration node, executionData. 1 incoming and 0 outgoing connections.OUTCOMEFirst Prompt ResultINTEGRATIONEXECUTIONDATA1 IN / 0 OUTSecond Prompt Result. integration node, executionData. 1 incoming and 0 outgoing connections.OUTCOMESecond Prompt ResultINTEGRATIONEXECUTIONDATA1 IN / 0 OUTSimple Memory Store. ai node, memoryBufferWindow. 0 incoming and 3 outgoing connections.DEPENDENCY · DEPTH 1Simple Memory StoreAIMEMORYBUFFERWINDOW0 IN / 3 OUT

Signal inspector

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Main-channel runtimeTyped dependencytriggeraidecisiontransformintegration
Scroll horizontally to follow every connected flow.27 connected nodesEnter or click to lock · Escape to clear

Runtime breakdown

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Each run group separates main-channel steps from the models, tools, retrievers, and data services that support them. Start and outcome labels apply only to runtime nodes.

01

Run Group

When Executed by Another Workf…

8 Execution Links

  1. Start

    When Executed by Another Workflow

    Trigger

  2. Step 2

    Submit batch

    Integration

  3. Step 3

    If ended processing

    Decision

  4. Step 4

    Get results

    Integration

  5. Step 5

    Batch Status Poll Interval

    Integration

  6. Step 6

    Parse response

    Transform

  7. Step 7

    Check batch status

    Integration

  8. Outcome

    Split Out Parsed Results

    Transform

02

Run Group

Run example

18 Execution Links3 Support Dependencies

  1. Start

    Run example

    Trigger

  2. Step 2

    Truncate Chat Memory

    AI reasoning

    One query example

    Transform

  3. Step 3

    Fill Chat Memory with example data

    AI reasoning

    Append execution data for single query example

    Transform

  4. Step 4

    Load Chat Memory Data

    AI reasoning

    Build batch 'request' object for single query

    Transform

  5. Step 5

    Append execution data for chat memory example

    Transform

    Delete original properties

    Transform

  6. Step 6

    Build batch 'request' object from Chat Memory and execution data

    Transform

  7. Step 7

    Join two example requests into array

    Decision

  8. Step 8

    Construct 'requests' array

    Transform

  9. Step 9

    Set desired 'anthropic-version'

    Transform

  10. Step 10

    Execute Workflow 'Process Multiple Prompts in Parallel with Anthropic Claude Batch API'

    Integration

  11. Step 11

    Filter First Prompt Results

    Decision

    Filter Second Prompt Results

    Decision

  12. Outcome

    First Prompt Result

    Integration

    Second Prompt Result

    Integration

Attached dependencies

These nodes support the runtime above; they are not additional starts or outcomes.

1 node

  • Simple Memory Store

    AI reasoning dependency

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