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Event-Driven AutomationAI systemIntermediate

LLM Integration via OpenRouter

LLM Integration via OpenRouter is a 5-node automation blueprint connecting OpenAI. Inspect its trigger, execution graph, branches, and implementation requirements.

OpenAI

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.

5

Nodes

4

Links

1

Run groups

Connected tools

1 integrations

  • OpenAI

Canvas controls

Fit wide systems, then zoom into any run group.

LLM Integration via OpenRouter execution lanes1 run groups containing 5 workflow nodes and 4 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 OUTSettings. transform node, set. 1 incoming and 1 outgoing connections.STEP 02SettingsTRANSFORMSET1 IN / 1 OUTAI Agent. ai node, agent. 3 incoming and 0 outgoing connections.OUTCOMEAI AgentAIAGENT3 IN / 0 OUTLLM Model. OpenAI node, lmChatOpenAi. 0 incoming and 1 outgoing connections.DEPENDENCY · DEPTH 1LLM ModelOPENAILMCHATOPENAI0 IN / 1 OUTChat Memory. ai node, memoryBufferWindow. 0 incoming and 1 outgoing connections.DEPENDENCY · DEPTH 1Chat MemoryAIMEMORYBUFFERWINDOW0 IN / 1 OUT

Signal inspector

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Main-channel runtimeTyped dependencytriggeraidecisiontransformintegration
Scroll horizontally to follow every connected flow.5 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

2 Execution Links2 Support Dependencies

  1. Start

    When chat message received

    Trigger

  2. Step 2

    Settings

    Transform

  3. Outcome

    AI Agent

    AI reasoning

Attached dependencies

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

2 nodes

  • LLM Model

    AI reasoning dependency

  • Chat Memory

    AI reasoning dependency

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