Force Ai To Use A Specific Output Format

1 Tools

Explore Tool Categories

Find Agencies for This Project

Know a Better Recipe?

Help the community by sharing your proven tool combinations.

Submit a Recipe

About this recipe

A recipe for Force Ai To Use A Specific Output Format

Recipe Template

{
    "id": "cKRViOHDPsosO7UX",
    "meta": {
        "instanceId": "ec7a5f4ffdb34436e59d23eaccb5015b5238de2a877e205b28572bf1ffecfe04"
    },
    "name": "[AI\/LangChain] Output Parser 4",
    "tags": [],
    "nodes": [
        {
            "id": "3d669ba2-65b7-4502-92d9-645c4e51b26d",
            "name": "When clicking \"Execute Workflow\"",
            "type": "n8n-nodes-base.manualTrigger",
            "position": [
                380,
                240
            ],
            "parameters": [],
            "typeVersion": 1
        },
        {
            "id": "9a509299-746d-4a3f-b379-8a4a9a92c75a",
            "name": "Prompt",
            "type": "n8n-nodes-base.set",
            "position": [
                600,
                240
            ],
            "parameters": {
                "values": {
                    "string": [
                        {
                            "name": "input",
                            "value": "Return the 5 largest states by area in the USA with their 3 largest cities and their population."
                        }
                    ]
                },
                "options": []
            },
            "typeVersion": 2
        },
        {
            "id": "e2092fe6-d803-43e9-b2df-b0fc7aa83b02",
            "name": "LLM Chain",
            "type": "@n8n\/n8n-nodes-langchain.chainLlm",
            "position": [
                1060,
                240
            ],
            "parameters": [],
            "typeVersion": 1
        },
        {
            "id": "711734d0-1003-4639-bdee-c160f6f976b3",
            "name": "Structured Output Parser",
            "type": "@n8n\/n8n-nodes-langchain.outputParserStructured",
            "position": [
                1560,
                900
            ],
            "parameters": {
                "jsonSchema": "{\n \"type\": \"object\",\n \"properties\": {\n \"state\": {\n \"type\": \"string\"\n },\n \"cities\": {\n \"type\": \"array\",\n \"items\": {\n \"type\": \"object\",\n \"properties\": {\n \"name\": \"string\",\n \"population\": \"number\"\n }\n }\n }\n }\n}"
            },
            "typeVersion": 1
        },
        {
            "id": "f9b782f8-bb7b-4d65-be0d-d65c11de03d2",
            "name": "Auto-fixing Output Parser",
            "type": "@n8n\/n8n-nodes-langchain.outputParserAutofixing",
            "position": [
                1260,
                540
            ],
            "parameters": [],
            "typeVersion": 1
        },
        {
            "id": "a26f034e-ea19-47ba-8fef-4f0a0d447c01",
            "name": "Sticky Note",
            "type": "n8n-nodes-base.stickyNote",
            "position": [
                1480,
                795
            ],
            "parameters": {
                "height": 264.69900963477494,
                "content": "### Parser which defines the output format and which gets used to validate the output"
            },
            "typeVersion": 1
        },
        {
            "id": "d902971a-e304-449c-a933-900c9c49ce55",
            "name": "Sticky Note1",
            "type": "n8n-nodes-base.stickyNote",
            "position": [
                1080,
                792
            ],
            "parameters": {
                "height": 266.9506012398238,
                "content": "### The LLM which gets used to try to autofix the output in case it was not valid"
            },
            "typeVersion": 1
        },
        {
            "id": "b4c3b935-61b1-4243-b7df-ba4b7fd6e3ce",
            "name": "Sticky Note2",
            "type": "n8n-nodes-base.stickyNote",
            "position": [
                920,
                440
            ],
            "parameters": {
                "height": 245.56048099185898,
                "content": "### The LLM to process the original prompt"
            },
            "typeVersion": 1
        },
        {
            "id": "916d2998-cf0e-40f9-a373-149c609ed229",
            "name": "Sticky Note3",
            "type": "n8n-nodes-base.stickyNote",
            "position": [
                1200,
                449
            ],
            "parameters": {
                "width": 348.0763970423483,
                "height": 233.17672716408998,
                "content": "### Autofixing parser which tries to fix invalid outputs with the help of an LLM"
            },
            "typeVersion": 1
        },
        {
            "id": "5cabf993-6bdd-4401-bb6d-fa20ff703127",
            "name": "OpenAI Chat Model",
            "type": "@n8n\/n8n-nodes-langchain.lmChatOpenAi",
            "position": [
                980,
                540
            ],
            "parameters": {
                "options": {
                    "temperature": 0
                }
            },
            "credentials": {
                "openAiApi": {
                    "id": "wJtZwsVKW5v6R2Iy",
                    "name": "OpenAi account 2"
                }
            },
            "typeVersion": 1
        },
        {
            "id": "7f666edb-ecb7-4a6d-9dc7-ba67ef41d71f",
            "name": "OpenAI Chat Model1",
            "type": "@n8n\/n8n-nodes-langchain.lmChatOpenAi",
            "position": [
                1140,
                900
            ],
            "parameters": {
                "options": {
                    "temperature": 0
                }
            },
            "credentials": {
                "openAiApi": {
                    "id": "wJtZwsVKW5v6R2Iy",
                    "name": "OpenAi account 2"
                }
            },
            "typeVersion": 1
        }
    ],
    "active": false,
    "pinData": [],
    "settings": {
        "executionOrder": "v1"
    },
    "versionId": "976446d0-eb9d-478e-8178-69017329d736",
    "connections": {
        "Prompt": {
            "main": [
                [
                    {
                        "node": "LLM Chain",
                        "type": "main",
                        "index": 0
                    }
                ]
            ]
        },
        "OpenAI Chat Model": {
            "ai_languageModel": [
                [
                    {
                        "node": "LLM Chain",
                        "type": "ai_languageModel",
                        "index": 0
                    }
                ]
            ]
        },
        "OpenAI Chat Model1": {
            "ai_languageModel": [
                [
                    {
                        "node": "Auto-fixing Output Parser",
                        "type": "ai_languageModel",
                        "index": 0
                    }
                ]
            ]
        },
        "Structured Output Parser": {
            "ai_outputParser": [
                [
                    {
                        "node": "Auto-fixing Output Parser",
                        "type": "ai_outputParser",
                        "index": 0
                    }
                ]
            ]
        },
        "Auto-fixing Output Parser": {
            "ai_outputParser": [
                [
                    {
                        "node": "LLM Chain",
                        "type": "ai_outputParser",
                        "index": 0
                    }
                ]
            ]
        },
        "When clicking \"Execute Workflow\"": {
            "main": [
                [
                    {
                        "node": "Prompt",
                        "type": "main",
                        "index": 0
                    }
                ]
            ]
        }
    }
}

How to Use an n8n Template

1

Create a New Workflow

Click "New Workflow" in your n8n dashboard to get started.

2

Copy & Paste Template

First, copy this template: Click here to copy the JSON .
Then, in n8n, click the three dots (···) → "Import from file" and paste the JSON code.

3

Customize the Nodes

Go through each node in the workflow to update inputs like spreadsheet IDs, email addresses, or message content. Adjust field mappings to match your data.

4

Grant Access

For nodes that connect to external apps (like Google Sheets or Slack), you'll need to grant access. Connect your accounts using OAuth or an API key and save the credentials in the node.

5

Test It

Run the workflow by clicking "Execute Node" for each step or "Run Once" for the whole thing. Check the right sidebar to inspect data and debug any errors (they'll show up in red).

6

Activate Workflow

Once everything works as expected, click the "Activate" toggle to turn your workflow on. You're all set!