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LLM Comparison with OpenAI & Google Sheets

LLM Comparison with OpenAI & Google Sheets is a 14-node automation blueprint connecting OpenAI, Google Sheets. Inspect its trigger, execution graph, branches, and implementation requirements.

OpenAIGoogle Sheets

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.

14

Nodes

15

Links

1

Run groups

Connected tools

2 integrations

  • OpenAI
  • Google Sheets

Canvas controls

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LLM Comparison with OpenAI & Google Sheets execution lanes1 run groups containing 14 workflow nodes and 15 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 chat message received. trigger node, chatTrigger. 0 incoming and 1 outgoing connections.STARTWhen chat message receivedTRIGGERCHATTRIGGER0 IN / 1 OUTDefine Models to Compare. transform node, set. 1 incoming and 1 outgoing connections.STEP 02Define Models to CompareTRANSFORMSET1 IN / 1 OUTSplit Models into Items. transform node, splitOut. 1 incoming and 1 outgoing connections.STEP 03Split Models into ItemsTRANSFORMSPLITOUT1 IN / 1 OUTSet model, sessionId, chatInput, sessionIdBase. transform node, set. 1 incoming and 1 outgoing connections.STEP 04Set model, sessionId, cha…TRANSFORMSET1 IN / 1 OUTLoop Over Items. integration node, splitInBatches. 2 incoming and 3 outgoing connections.STEP 05Loop Over ItemsINTEGRATIONSPLITINBATCHES2 IN / 3 OUTAI Agent. ai node, agent. 3 incoming and 1 outgoing connections.STEP 06AI AgentAIAGENT3 IN / 1 OUTGroup Model Outputs for Evaluation. transform node, aggregate. 1 incoming and 1 outgoing connections.STEP 07Group Model Outputs for E…TRANSFORMAGGREGATE1 IN / 1 OUTConcatenate Chat Answers. transform node, summarize. 1 incoming and 1 outgoing connections.STEP 08Concatenate Chat AnswersTRANSFORMSUMMARIZE1 IN / 1 OUTChat Memory Manager. ai node, memoryManager. 2 incoming and 1 outgoing connections.STEP 09Chat Memory ManagerAIMEMORYMANAGER2 IN / 1 OUTAdd Model Results to Google Sheet. Google Sheets node, googleSheets. 1 incoming and 0 outgoing connections.STEP 10Add Model Results to Goog…GOOGLE SHEETSGOOGLESHEETS1 IN / 0 OUTSet Output for Chat UI. transform node, set. 1 incoming and 0 outgoing connections.STEP 11Set Output for Chat UITRANSFORMSET1 IN / 0 OUTPrepare Data for Chat and Google Sheets. Google Sheets node, set. 1 incoming and 1 outgoing connections.OUTCOMEPrepare Data for Chat and…GOOGLE SHEETSSET1 IN / 1 OUTOpenRouter Chat Model. ai node, lmChatOpenRouter. 0 incoming and 1 outgoing connections.DEPENDENCY · DEPTH 1OpenRouter Chat ModelAILMCHATOPENROUTER0 IN / 1 OUTSimple Memory. ai node, memoryBufferWindow. 0 incoming and 2 outgoing connections.DEPENDENCY · DEPTH 1Simple MemoryAIMEMORYBUFFERWINDOW0 IN / 2 OUT

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Main-channel runtimeTyped dependencytriggeraidecisiontransformintegration
Scroll horizontally to follow every connected flow.14 connected nodesEnter or click to lock · Escape to clear

Runtime breakdown

Read the execution spine before its dependencies.

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 chat message received

12 Execution Links3 Support Dependencies

  1. Start

    When chat message received

    Trigger

  2. Step 2

    Define Models to Compare

    Transform

  3. Step 3

    Split Models into Items

    Transform

  4. Step 4

    Set model, sessionId, chatInput, sessionIdBase

    Transform

  5. Step 5

    Loop Over Items

    Integration

  6. Step 6

    AI Agent

    AI reasoning

  7. Step 7

    Group Model Outputs for Evaluation

    Transform

  8. Step 8

    Concatenate Chat Answers

    Transform

  9. Step 9

    Chat Memory Manager

    AI reasoning

  10. Step 10

    Add Model Results to Google Sheet

    Integration

  11. Step 11

    Set Output for Chat UI

    Transform

  12. Outcome

    Prepare Data for Chat and Google Sheets

    Transform

Attached dependencies

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

2 nodes

  • OpenRouter Chat Model

    AI reasoning dependency

  • Simple Memory

    AI reasoning dependency

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