Flowise

Flowise offers a visual environment for building AI assistants, retrieval workflows and coordinated agent systems

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A customer-refund workflow on the visual canvas

The source demo connects an email trigger, classification, a refund decision and different response actions. It is a workflow interface example; no real customer email or Slack delivery is implied.

A customer-refund workflow on the visual canvas
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Converted to WebP, aspect ratio preserved; maximum side 2400px, no upscaling.

Copyright (c) 2023-present FlowiseAI, Inc.

Portions of this software are licensed as follows:

-   All content that resides under https://github.com/FlowiseAI/Flowise/tree/main/packages/server/src/enterprise directory and files with explicit copyright notice such as [IdentityManager.ts](https://github.com/FlowiseAI/Flowise/tree/main/packages/server/src/IdentityManager.ts) are licensed under [Commercial License](https://github.com/FlowiseAI/Flowise/tree/main/packages/server/src/enterprise/LICENSE.md).
-   All third party components incorporated into the FlowiseAI Software are licensed under the original license provided by the owner of the applicable component.
-   Content outside of the above mentioned directories or restrictions above is available under the "Apache 2.0" license as defined below.

                                  Apache License
                             Version 2.0, January 2004
                          http://www.apache.org/licenses/

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사용 예시

Archived Flowise template: name a product company

Complete original marketplace JSON connects a product-name prompt, Azure ChatOpenAI and a stateless LLM Chain; chat question supplies {product}. The upstream repository is archived. Use a compatible Flowise deployment, supply your own provider credentials and review node/model compatibility before using this historical template; gpt-35-turbo, gpt-3.5-turbo-16k and old vision labels remain source values, not current availability claims. No workflow was imported, run or verified here.

입력 예시

{
    "description": "Basic example of stateless (no memory) LLM Chain with a Prompt Template and LLM Model",
    "usecases": ["Basic"],
    "framework": ["Langchain"],
    "nodes": [
        {
            "width": 300,
            "height": 513,
            "id": "promptTemplate_0",
            "position": {
                "x": 531.9134589269008,
                "y": 221.7536201276406
            },
            "type": "customNode",
            "data": {
                "id": "promptTemplate_0",
                "label": "Prompt Template",
                "version": 1,
                "name": "promptTemplate",
                "type": "PromptTemplate",
                "baseClasses": ["PromptTemplate", "BaseStringPromptTemplate", "BasePromptTemplate"],
                "category": "Prompts",
                "description": "Schema to represent a basic prompt for an LLM",
                "inputParams": [
                    {
                        "label": "Template",
                        "name": "template",
                        "type": "string",
                        "rows": 4,
                        "placeholder": "What is a good name for a company that makes {product}?",
                        "id": "promptTemplate_0-input-template-string"
                    },
                    {
                        "label": "Format Prompt Values",
                        "name": "promptValues",
                        "type": "json",
                        "optional": true,
                        "acceptVariable": true,
                        "list": true,
                        "id": "promptTemplate_0-input-promptValues-json"
                    }
                ],
                "inputAnchors": [],
                "inputs": {
                    "template": "What is a good name for a company that makes {product}?",
                    "promptValues": "{\"product\":\"{{question}}\"}"
                },
                "outputAnchors": [
                    {
                        "id": "promptTemplate_0-output-promptTemplate-PromptTemplate|BaseStringPromptTemplate|BasePromptTemplate",
                        "name": "promptTemplate",
                        "label": "PromptTemplate",
                        "type": "PromptTemplate | BaseStringPromptTemplate | BasePromptTemplate"
                    }
                ],
                "outputs": {},
                "selected": false
            },
            "selected": false,
            "positionAbsolute": {
                "x": 531.9134589269008,
                "y": 221.7536201276406
            },
            "dragging": false
        },
        {
            "width": 300,
            "height": 508,
            "id": "llmChain_0",
            "position": {
                "x": 907.9962733908701,
                "y": 252.11408353903892
            },
            "type": "customNode",
            "data": {
                "id": "llmChain_0",
                "label": "LLM Chain",
                "version": 3,
                "name": "llmChain",
                "type": "LLMChain",
                "baseClasses": ["LLMChain", "BaseChain", "Runnable"],
                "category": "Chains",
                "description": "Chain to run queries against LLMs",
                "inputParams": [
                    {
                        "label": "Chain Name",
                        "name": "chainName",
                        "type": "string",
                        "placeholder": "Name Your Chain",
                        "optional": true,
                        "id": "llmChain_0-input-chainName-string"
                    }
                ],
                "inputAnchors": [
                    {
                        "label": "Language Model",
                        "name": "model",
                        "type": "BaseLanguageModel",
                        "id": "llmChain_0-input-model-BaseLanguageModel"
                    },
                    {
                        "label": "Prompt",
                        "name": "prompt",
                        "type": "BasePromptTemplate",
                        "id": "llmChain_0-input-prompt-BasePromptTemplate"
                    },
                    {
                        "label": "Output Parser",
                        "name": "outputParser",
                        "type": "BaseLLMOutputParser",
                        "optional": true,
                        "id": "llmChain_0-input-outputParser-BaseLLMOutputParser"
                    },
                    {
                        "label": "Input Moderation",
                        "description": "Detect text that could generate harmful output and prevent it from being sent to the language model",
                        "name": "inputModeration",
                        "type": "Moderation",
                        "optional": true,
                        "list": true,
                        "id": "llmChain_0-input-inputModeration-Moderation"
                    }
                ],
                "inputs": {
                    "model": "{{azureChatOpenAI_0.data.instance}}",
                    "prompt": "{{promptTemplate_0.data.instance}}",
                    "outputParser": "",
                    "chainName": "",
                    "inputModeration": ""
                },
                "outputAnchors": [
                    {
                        "name": "output",
                        "label": "Output",
                        "type": "options",
                        "options": [
                            {
                                "id": "llmChain_0-output-llmChain-LLMChain|BaseChain|Runnable",
                                "name": "llmChain",
                                "label": "LLM Chain",
                                "type": "LLMChain | BaseChain | Runnable"
                            },
                            {
                                "id": "llmChain_0-output-outputPrediction-string|json",
                                "name": "outputPrediction",
                                "label": "Output Prediction",
                                "type": "string | json"
                            }
                        ],
                        "default": "llmChain"
                    }
                ],
                "outputs": {
                    "output": "llmChain"
                },
                "selected": false
            },
            "selected": false,
            "positionAbsolute": {
                "x": 907.9962733908701,
                "y": 252.11408353903892
            },
            "dragging": false
        },
        {
            "id": "azureChatOpenAI_0",
            "position": {
                "x": 175.23795705962158,
                "y": 101.11789404501121
            },
            "type": "customNode",
            "data": {
                "id": "azureChatOpenAI_0",
                "label": "Azure ChatOpenAI",
                "version": 4,
                "name": "azureChatOpenAI",
                "type": "AzureChatOpenAI",
                "baseClasses": ["AzureChatOpenAI", "BaseChatModel", "BaseLanguageModel", "Runnable"],
                "category": "Chat Models",
                "description": "Wrapper around Azure OpenAI large language models that use the Chat endpoint",
                "inputParams": [
                    {
                        "label": "Connect Credential",
                        "name": "credential",
                        "type": "credential",
                        "credentialNames": ["azureOpenAIApi"],
                        "id": "azureChatOpenAI_0-input-credential-credential"
                    },
                    {
                        "label": "Model Name",
                        "name": "modelName",
                        "type": "asyncOptions",
                        "loadMethod": "listModels",
                        "id": "azureChatOpenAI_0-input-modelName-asyncOptions"
                    },
                    {
                        "label": "Temperature",
                        "name": "temperature",
                        "type": "number",
                        "step": 0.1,
                        "default": 0.9,
                        "optional": true,
                        "id": "azureChatOpenAI_0-input-temperature-number"
                    },
                    {
                        "label": "Max Tokens",
                        "name": "maxTokens",
                        "type": "number",
                        "step": 1,
                        "optional": true,
                        "additionalParams": true,
                        "id": "azureChatOpenAI_0-input-maxTokens-number"
                    },
                    {
                        "label": "Top Probability",
                        "name": "topP",
                        "type": "number",
                        "step": 0.1,
                        "optional": true,
                        "additionalParams": true,
                        "id": "azureChatOpenAI_0-input-topP-number"
                    },
                    {
                        "label": "Frequency Penalty",
                        "name": "frequencyPenalty",
                        "type": "number",
                        "step": 0.1,
                        "optional": true,
                        "additionalParams": true,
                        "id": "azureChatOpenAI_0-input-frequencyPenalty-number"
                    },
                    {
                        "label": "Presence Penalty",
                        "name": "presencePenalty",
                        "type": "number",
                        "step": 0.1,
                        "optional": true,
                        "additionalParams": true,
                        "id": "azureChatOpenAI_0-input-presencePenalty-number"
                    },
                    {
                        "label": "Timeout",
                        "name": "timeout",
                        "type": "number",
                        "step": 1,
                        "optional": true,
                        "additionalParams": true,
                        "id": "azureChatOpenAI_0-input-timeout-number"
                    },
                    {
                        "label": "Allow Image Uploads",
                        "name": "allowImageUploads",
                        "type": "boolean",
                        "description": "Automatically uses gpt-4-vision-preview when image is being uploaded from chat. Only works with LLMChain, Conversation Chain, ReAct Agent, and Conversational Agent",
                        "default": false,
                        "optional": true,
                        "id": "azureChatOpenAI_0-input-allowImageUploads-boolean"
                    },
                    {
                        "label": "Image Resolution",
                        "description": "This parameter controls the resolution in which the model views the image.",
                        "name": "imageResolution",
                        "type": "options",
                        "options": [
                            {
                                "label": "Low",
                                "name": "low"
                            },
                            {
                                "label": "High",
                                "name": "high"
                            },
                            {
                                "label": "Auto",
                                "name": "auto"
                            }
                        ],
                        "default": "low",
                        "optional": false,
                        "additionalParams": true,
                        "id": "azureChatOpenAI_0-input-imageResolution-options"
                    }
                ],
                "inputAnchors": [
                    {
                        "label": "Cache",
                        "name": "cache",
                        "type": "BaseCache",
                        "optional": true,
                        "id": "azureChatOpenAI_0-input-cache-BaseCache"
                    }
                ],
                "inputs": {
                    "cache": "",
                    "modelName": "gpt-35-turbo",
                    "temperature": 0.9,
                    "maxTokens": "",
                    "topP": "",
                    "frequencyPenalty": "",
                    "presencePenalty": "",
                    "timeout": "",
                    "allowImageUploads": "",
                    "imageResolution": "low"
                },
                "outputAnchors": [
                    {
                        "id": "azureChatOpenAI_0-output-azureChatOpenAI-AzureChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable",
                        "name": "azureChatOpenAI",
                        "label": "AzureChatOpenAI",
                        "description": "Wrapper around Azure OpenAI large language models that use the Chat endpoint",
                        "type": "AzureChatOpenAI | BaseChatModel | BaseLanguageModel | Runnable"
                    }
                ],
                "outputs": {},
                "selected": false
            },
            "width": 300,
            "height": 670,
            "selected": false,
            "positionAbsolute": {
                "x": 175.23795705962158,
                "y": 101.11789404501121
            },
            "dragging": false
        },
        {
            "id": "stickyNote_0",
            "position": {
                "x": 900.2319450077418,
                "y": 59.0163203023601
            },
            "type": "stickyNote",
            "data": {
                "id": "stickyNote_0",
                "label": "Sticky Note",
                "version": 2,
                "name": "stickyNote",
                "type": "StickyNote",
                "baseClasses": ["StickyNote"],
                "tags": ["Utilities"],
                "category": "Utilities",
                "description": "Add a sticky note",
                "inputParams": [
                    {
                        "label": "",
                        "name": "note",
                        "type": "string",
                        "rows": 1,
                        "placeholder": "Type something here",
                        "optional": true,
                        "id": "stickyNote_0-input-note-string"
                    }
                ],
                "inputAnchors": [],
                "inputs": {
                    "note": "Question asked in the chat will be taken as value for {product} in the prompt.\n\nExample question:\n- socks\n- hats\n- pants"
                },
                "outputAnchors": [
                    {
                        "id": "stickyNote_0-output-stickyNote-StickyNote",
                        "name": "stickyNote",
                        "label": "StickyNote",
                        "description": "Add a sticky note",
                        "type": "StickyNote"
                    }
                ],
                "outputs": {},
                "selected": false
            },
            "width": 300,
            "height": 163,
            "selected": false,
            "positionAbsolute": {
                "x": 900.2319450077418,
                "y": 59.0163203023601
            },
            "dragging": false
        }
    ],
    "edges": [
        {
            "source": "promptTemplate_0",
            "sourceHandle": "promptTemplate_0-output-promptTemplate-PromptTemplate|BaseStringPromptTemplate|BasePromptTemplate",
            "target": "llmChain_0",
            "targetHandle": "llmChain_0-input-prompt-BasePromptTemplate",
            "type": "buttonedge",
            "id": "promptTemplate_0-promptTemplate_0-output-promptTemplate-PromptTemplate|BaseStringPromptTemplate|BasePromptTemplate-llmChain_0-llmChain_0-input-prompt-BasePromptTemplate",
            "data": {
                "label": ""
            }
        },
        {
            "source": "azureChatOpenAI_0",
            "sourceHandle": "azureChatOpenAI_0-output-azureChatOpenAI-AzureChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable",
            "target": "llmChain_0",
            "targetHandle": "llmChain_0-input-model-BaseLanguageModel",
            "type": "buttonedge",
            "id": "azureChatOpenAI_0-azureChatOpenAI_0-output-azureChatOpenAI-AzureChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable-llmChain_0-llmChain_0-input-model-BaseLanguageModel"
        }
    ]
}
라이선스

Complete original source file unchanged; editorial title, context and prerequisites added. No installation, account operation, model call, form submission or claimed result was executed.

Copyright (c) 2023-present FlowiseAI, Inc.

Portions of this software are licensed as follows:

-   All content that resides under https://github.com/FlowiseAI/Flowise/tree/main/packages/server/src/enterprise directory and files with explicit copyright notice such as [IdentityManager.ts](https://github.com/FlowiseAI/Flowise/tree/main/packages/server/src/IdentityManager.ts) are licensed under [Commercial License](https://github.com/FlowiseAI/Flowise/tree/main/packages/server/src/enterprise/LICENSE.md).
-   All third party components incorporated into the FlowiseAI Software are licensed under the original license provided by the owner of the applicable component.
-   Content outside of the above mentioned directories or restrictions above is available under the "Apache 2.0" license as defined below.

                                  Apache License
                             Version 2.0, January 2004
                          http://www.apache.org/licenses/

TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION

1. Definitions.

    "License" shall mean the terms and conditions for use, reproduction,
    and distribution as defined by Sections 1 through 9 of this document.

    "Licensor" shall mean the copyright owner or entity authorized by
    the copyright owner that is granting the License.

    "Legal Entity" shall mean the union of the acting entity and all
    other entities that control, are controlled by, or are under common
    control with that entity. For the purposes of this definition,
    "control" means (i) the power, direct or indirect, to cause the
    direction or management of such entity, whether by contract or
    otherwise, or (ii) ownership of fifty percent (50%) or more of the
    outstanding shares, or (iii) beneficial ownership of such entity.

    "You" (or "Your") shall mean an individual or Legal Entity
    exercising permissions granted by this License.

    "Source" form shall mean the preferred form for making modifications,
    including but not limited to software source code, documentation
    source, and configuration files.

    "Object" form shall mean any form resulting from mechanical
    transformation or translation of a Source form, including but
    not limited to compiled object code, generated documentation,
    and conversions to other media types.

    "Work" shall mean the work of authorship, whether in Source or
    Object form, made available under the License, as indicated by a
    copyright notice that is included in or attached to the work
    (an example is provided in the Appendix below).

    "Derivative Works" shall mean any work, whether in Source or Object
    form, that is based on (or derived from) the Work and for which the
    editorial revisions, annotations, elaborations, or other modifications
    represent, as a whole, an original work of authorship. For the purposes
    of this License, Derivative Works shall not include works that remain
    separable from, or merely link (or bind by name) to the interfaces of,
    the Work and Derivative Works thereof.

    "Contribution" shall mean any work of authorship, including
    the original version of the Work and any modifications or additions
    to that Work or Derivative Works thereof, that is intentionally
    submitted to Licensor for inclusion in the Work by the copyright owner
    or by an individual or Legal Entity authorized to submit on behalf of
    the copyright owner. For the purposes of this definition, "submitted"
    means any form of electronic, verbal, or written communication sent
    to the Licensor or its representatives, including but not limited to
    communication on electronic mailing lists, source code control systems,
    and issue tracking systems that are managed by, or on behalf of, the
    Licensor for the purpose of discussing and improving the Work, but
    excluding communication that is conspicuously marked or otherwise
    designated in writing by the copyright owner as "Not a Contribution."

    "Contributor" shall mean Licensor and any individual or Legal Entity
    on behalf of whom a Contribution has been received by Licensor and
    subsequently incorporated within the Work.

2. Grant of Copyright License. Subject to the terms and conditions of
   this License, each Contributor hereby grants to You a perpetual,
   worldwide, non-exclusive, no-charge, royalty-free, irrevocable
   copyright license to reproduce, prepare Derivative Works of,
   publicly display, publicly perform, sublicense, and distribute the
   Work and such Derivative Works in Source or Object form.

3. Grant of Patent License. Subject to the terms and conditions of
   this License, each Contributor hereby grants to You a perpetual,
   worldwide, non-exclusive, no-charge, royalty-free, irrevocable
   (except as stated in this section) patent license to make, have made,
   use, offer to sell, sell, import, and otherwise transfer the Work,
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   any Contribution intentionally submitted for inclusion in the Work
   by You to the Licensor shall be under the terms and conditions of
   this License, without any additional terms or conditions.
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END OF TERMS AND CONDITIONS
사용 예시

Archived Flowise template: keep a conversation history

Complete original marketplace JSON connects ChatOpenAI, Buffer Memory and Conversation Chain with the author’s system message. The upstream repository is archived. Use a compatible Flowise deployment, supply your own provider credentials and review node/model compatibility before using this historical template; gpt-35-turbo, gpt-3.5-turbo-16k and old vision labels remain source values, not current availability claims. No workflow was imported, run or verified here.

입력 예시

{
    "description": "Basic example of Conversation Chain with built-in memory - works exactly like ChatGPT",
    "usecases": ["Basic"],
    "framework": ["Langchain"],
    "nodes": [
        {
            "width": 300,
            "height": 574,
            "id": "chatOpenAI_0",
            "position": {
                "x": 579.0877964395976,
                "y": -138.68792413227874
            },
            "type": "customNode",
            "data": {
                "id": "chatOpenAI_0",
                "label": "ChatOpenAI",
                "version": 6.0,
                "name": "chatOpenAI",
                "type": "ChatOpenAI",
                "baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel", "Runnable"],
                "category": "Chat Models",
                "description": "Wrapper around OpenAI large language models that use the Chat endpoint",
                "inputParams": [
                    {
                        "label": "Connect Credential",
                        "name": "credential",
                        "type": "credential",
                        "credentialNames": ["openAIApi"],
                        "id": "chatOpenAI_0-input-credential-credential"
                    },
                    {
                        "label": "Model Name",
                        "name": "modelName",
                        "type": "asyncOptions",
                        "loadMethod": "listModels",
                        "default": "gpt-3.5-turbo",
                        "id": "chatOpenAI_0-input-modelName-options"
                    },
                    {
                        "label": "Temperature",
                        "name": "temperature",
                        "type": "number",
                        "step": 0.1,
                        "default": 0.9,
                        "optional": true,
                        "id": "chatOpenAI_0-input-temperature-number"
                    },
                    {
                        "label": "Max Tokens",
                        "name": "maxTokens",
                        "type": "number",
                        "step": 1,
                        "optional": true,
                        "additionalParams": true,
                        "id": "chatOpenAI_0-input-maxTokens-number"
                    },
                    {
                        "label": "Top Probability",
                        "name": "topP",
                        "type": "number",
                        "step": 0.1,
                        "optional": true,
                        "additionalParams": true,
                        "id": "chatOpenAI_0-input-topP-number"
                    },
                    {
                        "label": "Frequency Penalty",
                        "name": "frequencyPenalty",
                        "type": "number",
                        "step": 0.1,
                        "optional": true,
                        "additionalParams": true,
                        "id": "chatOpenAI_0-input-frequencyPenalty-number"
                    },
                    {
                        "label": "Presence Penalty",
                        "name": "presencePenalty",
                        "type": "number",
                        "step": 0.1,
                        "optional": true,
                        "additionalParams": true,
                        "id": "chatOpenAI_0-input-presencePenalty-number"
                    },
                    {
                        "label": "Timeout",
                        "name": "timeout",
                        "type": "number",
                        "step": 1,
                        "optional": true,
                        "additionalParams": true,
                        "id": "chatOpenAI_0-input-timeout-number"
                    },
                    {
                        "label": "BasePath",
                        "name": "basepath",
                        "type": "string",
                        "optional": true,
                        "additionalParams": true,
                        "id": "chatOpenAI_0-input-basepath-string"
                    },
                    {
                        "label": "BaseOptions",
                        "name": "baseOptions",
                        "type": "json",
                        "optional": true,
                        "additionalParams": true,
                        "id": "chatOpenAI_0-input-baseOptions-json"
                    },
                    {
                        "label": "Allow Image Uploads",
                        "name": "allowImageUploads",
                        "type": "boolean",
                        "description": "Automatically uses gpt-4-vision-preview when image is being uploaded from chat. Only works with LLMChain, Conversation Chain, ReAct Agent, and Conversational Agent",
                        "default": false,
                        "optional": true,
                        "id": "chatOpenAI_0-input-allowImageUploads-boolean"
                    },
                    {
                        "label": "Image Resolution",
                        "description": "This parameter controls the resolution in which the model views the image.",
                        "name": "imageResolution",
                        "type": "options",
                        "options": [
                            {
                                "label": "Low",
                                "name": "low"
                            },
                            {
                                "label": "High",
                                "name": "high"
                            },
                            {
                                "label": "Auto",
                                "name": "auto"
                            }
                        ],
                        "default": "low",
                        "optional": false,
                        "additionalParams": true,
                        "id": "chatOpenAI_0-input-imageResolution-options"
                    }
                ],
                "inputAnchors": [
                    {
                        "label": "Cache",
                        "name": "cache",
                        "type": "BaseCache",
                        "optional": true,
                        "id": "chatOpenAI_0-input-cache-BaseCache"
                    }
                ],
                "inputs": {
                    "cache": "",
                    "modelName": "gpt-3.5-turbo-16k",
                    "temperature": 0.9,
                    "maxTokens": "",
                    "topP": "",
                    "frequencyPenalty": "",
                    "presencePenalty": "",
                    "timeout": "",
                    "basepath": "",
                    "baseOptions": "",
                    "allowImageUploads": true,
                    "imageResolution": "low"
                },
                "outputAnchors": [
                    {
                        "id": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable",
                        "name": "chatOpenAI",
                        "label": "ChatOpenAI",
                        "type": "ChatOpenAI | BaseChatModel | BaseLanguageModel | Runnable"
                    }
                ],
                "outputs": {},
                "selected": false
            },
            "selected": false,
            "positionAbsolute": {
                "x": 579.0877964395976,
                "y": -138.68792413227874
            },
            "dragging": false
        },
        {
            "width": 300,
            "height": 376,
            "id": "bufferMemory_0",
            "position": {
                "x": 220.30240896145915,
                "y": 351.61324070296877
            },
            "type": "customNode",
            "data": {
                "id": "bufferMemory_0",
                "label": "Buffer Memory",
                "version": 2,
                "name": "bufferMemory",
                "type": "BufferMemory",
                "baseClasses": ["BufferMemory", "BaseChatMemory", "BaseMemory"],
                "category": "Memory",
                "description": "Retrieve chat messages stored in database",
                "inputParams": [
                    {
                        "label": "Session Id",
                        "name": "sessionId",
                        "type": "string",
                        "description": "If not specified, a random id will be used. Learn <a target=\"_blank\" href=\"https://docs.flowiseai.com/memory#ui-and-embedded-chat\">more</a>",
                        "default": "",
                        "additionalParams": true,
                        "optional": true,
                        "id": "bufferMemory_0-input-sessionId-string"
                    },
                    {
                        "label": "Memory Key",
                        "name": "memoryKey",
                        "type": "string",
                        "default": "chat_history",
                        "additionalParams": true,
                        "id": "bufferMemory_0-input-memoryKey-string"
                    }
                ],
                "inputAnchors": [],
                "inputs": {
                    "sessionId": "",
                    "memoryKey": "chat_history"
                },
                "outputAnchors": [
                    {
                        "id": "bufferMemory_0-output-bufferMemory-BufferMemory|BaseChatMemory|BaseMemory",
                        "name": "bufferMemory",
                        "label": "BufferMemory",
                        "type": "BufferMemory | BaseChatMemory | BaseMemory"
                    }
                ],
                "outputs": {},
                "selected": false
            },
            "selected": false,
            "positionAbsolute": {
                "x": 220.30240896145915,
                "y": 351.61324070296877
            },
            "dragging": false
        },
        {
            "width": 300,
            "height": 383,
            "id": "conversationChain_0",
            "position": {
                "x": 958.9887390513221,
                "y": 318.8734467468765
            },
            "type": "customNode",
            "data": {
                "id": "conversationChain_0",
                "label": "Conversation Chain",
                "version": 3,
                "name": "conversationChain",
                "type": "ConversationChain",
                "baseClasses": ["ConversationChain", "LLMChain", "BaseChain", "Runnable"],
                "category": "Chains",
                "description": "Chat models specific conversational chain with memory",
                "inputParams": [
                    {
                        "label": "System Message",
                        "name": "systemMessagePrompt",
                        "type": "string",
                        "rows": 4,
                        "description": "If Chat Prompt Template is provided, this will be ignored",
                        "additionalParams": true,
                        "optional": true,
                        "default": "The following is a friendly conversation between a human and an AI. The AI is talkative and provides lots of specific details from its context. If the AI does not know the answer to a question, it truthfully says it does not know.",
                        "placeholder": "The following is a friendly conversation between a human and an AI. The AI is talkative and provides lots of specific details from its context. If the AI does not know the answer to a question, it truthfully says it does not know.",
                        "id": "conversationChain_0-input-systemMessagePrompt-string"
                    }
                ],
                "inputAnchors": [
                    {
                        "label": "Chat Model",
                        "name": "model",
                        "type": "BaseChatModel",
                        "id": "conversationChain_0-input-model-BaseChatModel"
                    },
                    {
                        "label": "Memory",
                        "name": "memory",
                        "type": "BaseMemory",
                        "id": "conversationChain_0-input-memory-BaseMemory"
                    },
                    {
                        "label": "Chat Prompt Template",
                        "name": "chatPromptTemplate",
                        "type": "ChatPromptTemplate",
                        "description": "Override existing prompt with Chat Prompt Template. Human Message must includes {input} variable",
                        "optional": true,
                        "id": "conversationChain_0-input-chatPromptTemplate-ChatPromptTemplate"
                    },
                    {
                        "label": "Input Moderation",
                        "description": "Detect text that could generate harmful output and prevent it from being sent to the language model",
                        "name": "inputModeration",
                        "type": "Moderation",
                        "optional": true,
                        "list": true,
                        "id": "conversationChain_0-input-inputModeration-Moderation"
                    }
                ],
                "inputs": {
                    "inputModeration": "",
                    "model": "{{chatOpenAI_0.data.instance}}",
                    "memory": "{{bufferMemory_0.data.instance}}",
                    "chatPromptTemplate": "",
                    "systemMessagePrompt": "The following is a friendly conversation between a human and an AI. The AI is talkative and provides lots of specific details from its context. If the AI does not know the answer to a question, it truthfully says it does not know."
                },
                "outputAnchors": [
                    {
                        "id": "conversationChain_0-output-conversationChain-ConversationChain|LLMChain|BaseChain|Runnable",
                        "name": "conversationChain",
                        "label": "ConversationChain",
                        "type": "ConversationChain | LLMChain | BaseChain | Runnable"
                    }
                ],
                "outputs": {},
                "selected": false
            },
            "selected": false,
            "positionAbsolute": {
                "x": 958.9887390513221,
                "y": 318.8734467468765
            },
            "dragging": false
        }
    ],
    "edges": [
        {
            "source": "chatOpenAI_0",
            "sourceHandle": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable",
            "target": "conversationChain_0",
            "targetHandle": "conversationChain_0-input-model-BaseChatModel",
            "type": "buttonedge",
            "id": "chatOpenAI_0-chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable-conversationChain_0-conversationChain_0-input-model-BaseChatModel"
        },
        {
            "source": "bufferMemory_0",
            "sourceHandle": "bufferMemory_0-output-bufferMemory-BufferMemory|BaseChatMemory|BaseMemory",
            "target": "conversationChain_0",
            "targetHandle": "conversationChain_0-input-memory-BaseMemory",
            "type": "buttonedge",
            "id": "bufferMemory_0-bufferMemory_0-output-bufferMemory-BufferMemory|BaseChatMemory|BaseMemory-conversationChain_0-conversationChain_0-input-memory-BaseMemory"
        }
    ]
}
라이선스

Complete original source file unchanged; editorial title, context and prerequisites added. No installation, account operation, model call, form submission or claimed result was executed.

Copyright (c) 2023-present FlowiseAI, Inc.

Portions of this software are licensed as follows:

-   All content that resides under https://github.com/FlowiseAI/Flowise/tree/main/packages/server/src/enterprise directory and files with explicit copyright notice such as [IdentityManager.ts](https://github.com/FlowiseAI/Flowise/tree/main/packages/server/src/IdentityManager.ts) are licensed under [Commercial License](https://github.com/FlowiseAI/Flowise/tree/main/packages/server/src/enterprise/LICENSE.md).
-   All third party components incorporated into the FlowiseAI Software are licensed under the original license provided by the owner of the applicable component.
-   Content outside of the above mentioned directories or restrictions above is available under the "Apache 2.0" license as defined below.

                                  Apache License
                             Version 2.0, January 2004
                          http://www.apache.org/licenses/

TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION

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   meet the following conditions:

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    Derivative Works a copy of this License; and

    (b) You must cause any modified files to carry prominent notices
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    of the NOTICE file are for informational purposes only and
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    or as an addendum to the NOTICE text from the Work, provided
    that such additional attribution notices cannot be construed
    as modifying the License.

    You may add Your own copyright statement to Your modifications and
    may provide additional or different license terms and conditions
    for use, reproduction, or distribution of Your modifications, or
    for any such Derivative Works as a whole, provided Your use,
    reproduction, and distribution of the Work otherwise complies with
    the conditions stated in this License.

5. Submission of Contributions. Unless You explicitly state otherwise,
   any Contribution intentionally submitted for inclusion in the Work
   by You to the Licensor shall be under the terms and conditions of
   this License, without any additional terms or conditions.
   Notwithstanding the above, nothing herein shall supersede or modify
   the terms of any separate license agreement you may have executed
   with Licensor regarding such Contributions.

6. Trademarks. This License does not grant permission to use the trade
   names, trademarks, service marks, or product names of the Licensor,
   except as required for reasonable and customary use in describing the
   origin of the Work and reproducing the content of the NOTICE file.

7. Disclaimer of Warranty. Unless required by applicable law or
   agreed to in writing, Licensor provides the Work (and each
   Contributor provides its Contributions) on an "AS IS" BASIS,
   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
   implied, including, without limitation, any warranties or conditions
   of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A
   PARTICULAR PURPOSE. You are solely responsible for determining the
   appropriateness of using or redistributing the Work and assume any
   risks associated with Your exercise of permissions under this License.

8. Limitation of Liability. In no event and under no legal theory,
   whether in tort (including negligence), contract, or otherwise,
   unless required by applicable law (such as deliberate and grossly
   negligent acts) or agreed to in writing, shall any Contributor be
   liable to You for damages, including any direct, indirect, special,
   incidental, or consequential damages of any character arising as a
   result of this License or out of the use or inability to use the
   Work (including but not limited to damages for loss of goodwill,
   work stoppage, computer failure or malfunction, or any and all
   other commercial damages or losses), even if such Contributor
   has been advised of the possibility of such damages.

9. Accepting Warranty or Additional Liability. While redistributing
   the Work or Derivative Works thereof, You may choose to offer,
   and charge a fee for, acceptance of support, warranty, indemnity,
   or other liability obligations and/or rights consistent with this
   License. However, in accepting such obligations, You may act only
   on Your own behalf and on Your sole responsibility, not on behalf
   of any other Contributor, and only if You agree to indemnify,
   defend, and hold each Contributor harmless for any liability
   incurred by, or claims asserted against, such Contributor by reason
   of your accepting any such warranty or additional liability.

END OF TERMS AND CONDITIONS
사용 예시

Archived Flowise template: parse an answer into a list

Complete original marketplace JSON connects ChatOpenAI, prompt and CSVListOutputParser with autofix enabled; extra model calls may occur. The upstream repository is archived. Use a compatible Flowise deployment, supply your own provider credentials and review node/model compatibility before using this historical template; gpt-35-turbo, gpt-3.5-turbo-16k and old vision labels remain source values, not current availability claims. No workflow was imported, run or verified here.

입력 예시

{
    "description": "Return response as a list (array) instead of a string/text",
    "usecases": ["Extraction"],
    "framework": ["Langchain"],
    "nodes": [
        {
            "width": 300,
            "height": 508,
            "id": "llmChain_0",
            "position": {
                "x": 1490.4252662385359,
                "y": 229.91198307750102
            },
            "type": "customNode",
            "data": {
                "id": "llmChain_0",
                "label": "LLM Chain",
                "version": 3,
                "name": "llmChain",
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라이선스

Complete original source file unchanged; editorial title, context and prerequisites added. No installation, account operation, model call, form submission or claimed result was executed.

Copyright (c) 2023-present FlowiseAI, Inc.

Portions of this software are licensed as follows:

-   All content that resides under https://github.com/FlowiseAI/Flowise/tree/main/packages/server/src/enterprise directory and files with explicit copyright notice such as [IdentityManager.ts](https://github.com/FlowiseAI/Flowise/tree/main/packages/server/src/IdentityManager.ts) are licensed under [Commercial License](https://github.com/FlowiseAI/Flowise/tree/main/packages/server/src/enterprise/LICENSE.md).
-   All third party components incorporated into the FlowiseAI Software are licensed under the original license provided by the owner of the applicable component.
-   Content outside of the above mentioned directories or restrictions above is available under the "Apache 2.0" license as defined below.

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END OF TERMS AND CONDITIONS

제품 소개

Flowise provides modular building blocks for you to build any agentic systems, from simple compositional workflows to autonomous agents.

출처 원문 · EN
출처에 기재된 기능

Flowise의 주요 기능

  1. 01Compose workflows in a visual builder
  2. 02Connect tools and knowledge retrieval
  3. 03Inspect execution traces and human review steps
출처 원문 · EN
차별점

차별점

Its Assistant, Chatflow and Agentflow builders support different levels of workflow complexity. Deployment, model access and external data connections still require configuration.

출처 원문 · EN
추천 대상

추천 대상

  • Teams prototyping AI workflows
  • Developers building retrieval assistants
출처 원문 · EN
선택하기 전에

확인할 사항

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공식 링크는 2026년 11월 9일에 확인했습니다. 기능 주장은 독립적으로 테스트하지 않았습니다.

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