mirror of
https://github.com/farcasclaudiu/Flowise.git
synced 2026-06-28 17:01:00 +03:00
Merge branch 'main' into feature/BabyAGI
# Conflicts: # packages/components/package.json
This commit is contained in:
Henry
@@ -38,7 +38,7 @@ Feel free to ask any questions, raise problems, and request new features in [dis
|
||||
|
||||
## 🙌 Contributing
|
||||
|
||||
See [contributing guide](https://github.com/FlowiseAI/Flowise/blob/master/CONTRIBUTING.md). Reach out to us at [Discord](https://discord.gg/GWcGczPk) if you have any questions or issues.
|
||||
See [contributing guide](https://github.com/FlowiseAI/Flowise/blob/master/CONTRIBUTING.md). Reach out to us at [Discord](https://discord.gg/7C5xTWP8) if you have any questions or issues.
|
||||
|
||||
## 📄 License
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@@ -3,11 +3,58 @@
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"type": "PromptTemplate",
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"baseClasses": ["PromptTemplate", "BaseStringPromptTemplate", "BasePromptTemplate"],
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"category": "Prompts",
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"description": "Schema to represent a basic prompt for an LLM",
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{
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"name": "template",
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"placeholder": "What is a good name for a company that makes {product}?"
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"id": "promptTemplate_0-output-promptTemplate-PromptTemplate|BaseStringPromptTemplate|BasePromptTemplate",
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"name": "promptTemplate",
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"label": "PromptTemplate",
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"type": "PromptTemplate | BaseStringPromptTemplate | BasePromptTemplate"
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@@ -15,7 +62,7 @@
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"label": "Few Shot Prompt Template",
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"name": "fewShotPromptTemplate",
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"type": "FewShotPromptTemplate",
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"baseClasses": ["BaseStringPromptTemplate", "BasePromptTemplate"],
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"baseClasses": ["FewShotPromptTemplate", "BaseStringPromptTemplate", "BasePromptTemplate"],
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"category": "Prompts",
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"description": "Prompt template you can build with examples",
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"inputParams": [
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@@ -24,7 +71,7 @@
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"name": "examples",
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"type": "string",
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"rows": 5,
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"placeholder": "[\n { word: \"happy\", antonym: \"sad\" },\n { word: \"tall\", antonym: \"short\" },\n]"
|
||||
"placeholder": "[\n { \"word\": \"happy\", \"antonym\": \"sad\" },\n { \"word\": \"tall\", \"antonym\": \"short\" },\n]"
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},
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{
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"label": "Prefix",
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@@ -67,12 +114,12 @@
|
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{
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"label": "Example Prompt",
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"name": "examplePrompt",
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"type": "BasePromptTemplate",
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"id": "fewShotPromptTemplate_0-input-examplePrompt-BasePromptTemplate"
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"type": "PromptTemplate",
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"id": "fewShotPromptTemplate_0-input-examplePrompt-PromptTemplate"
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}
|
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],
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"inputs": {
|
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"examples": "[\n { \"word\": \"happy\", \"antonym\": \"sad\" },\n { \"word\": \"tall\", \"antonym\": \"short\" }\n]",
|
||||
"examples": "[\n { \"word\": \"happy\", \"antonym\": \"sad\" },\n { \"word\": \"tall\", \"antonym\": \"short\" }\n]",
|
||||
"examplePrompt": "{{promptTemplate_0.data.instance}}",
|
||||
"prefix": "Give the antonym of every input",
|
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"suffix": "Word: {input}\\nAntonym:",
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@@ -81,128 +128,28 @@
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},
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"outputAnchors": [
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{
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"id": "fewShotPromptTemplate_0-output-fewShotPromptTemplate-BaseStringPromptTemplate|BasePromptTemplate",
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"id": "fewShotPromptTemplate_0-output-fewShotPromptTemplate-FewShotPromptTemplate|BaseStringPromptTemplate|BasePromptTemplate",
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"name": "fewShotPromptTemplate",
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"label": "FewShotPromptTemplate",
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"type": "BaseStringPromptTemplate | BasePromptTemplate"
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"type": "FewShotPromptTemplate | BaseStringPromptTemplate | BasePromptTemplate"
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"label": "Prompt Template",
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"type": "PromptTemplate",
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"baseClasses": ["BaseStringPromptTemplate", "BasePromptTemplate"],
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"category": "Prompts",
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{
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"label": "PromptTemplate",
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"type": "BaseStringPromptTemplate | BasePromptTemplate"
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"data": {
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"label": "LLM Chain",
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"name": "llmChain",
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"type": "LLMChain",
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"baseClasses": ["BaseChain"],
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"category": "Chains",
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"description": "Chain to run queries against LLMs",
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"inputParams": [],
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"inputAnchors": [
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{
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"label": "LLM",
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"name": "llm",
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"type": "BaseLanguageModel",
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"id": "llmChain_0-input-llm-BaseLanguageModel"
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{
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"label": "Prompt",
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"name": "prompt",
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"type": "BasePromptTemplate",
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"id": "llmChain_0-input-prompt-BasePromptTemplate"
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||||
}
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||||
],
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||||
"inputs": {
|
||||
"llm": "{{openAI_0.data.instance}}",
|
||||
"prompt": "{{fewShotPromptTemplate_0.data.instance}}"
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||||
},
|
||||
"outputAnchors": [
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{
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||||
"id": "llmChain_0-output-llmChain-BaseChain",
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"name": "llmChain",
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"label": "LLMChain",
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"type": "BaseChain"
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}
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"dragging": false
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{
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"width": 300,
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"height": 471,
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"height": 472,
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"id": "openAI_0",
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"position": {
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@@ -210,7 +157,7 @@
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"label": "OpenAI",
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"name": "openAI",
|
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"type": "OpenAI",
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||||
"baseClasses": ["BaseLLM", "BaseLanguageModel"],
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||||
"baseClasses": ["OpenAI", "BaseLLM", "BaseLanguageModel"],
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"category": "LLMs",
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"description": "Wrapper around OpenAI large language models",
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"inputParams": [
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@@ -259,18 +206,81 @@
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},
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"outputAnchors": [
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{
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"id": "openAI_0-output-openAI-BaseLLM|BaseLanguageModel",
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"id": "openAI_0-output-openAI-OpenAI|BaseLLM|BaseLanguageModel",
|
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"name": "openAI",
|
||||
"label": "OpenAI",
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||||
"type": "BaseLLM | BaseLanguageModel"
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"type": "OpenAI | BaseLLM | BaseLanguageModel"
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"name": "llmChain",
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"id": "llmChain_0-input-prompt-BasePromptTemplate"
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],
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"inputs": {
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"model": "{{openAI_0.data.instance}}",
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"prompt": "{{fewShotPromptTemplate_0.data.instance}}",
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"promptValues": ""
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},
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{
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"id": "llmChain_0-output-llmChain-LLMChain|BaseChain",
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"name": "llmChain",
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"label": "LLMChain",
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"type": "LLMChain | BaseChain"
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@@ -278,33 +288,33 @@
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"targetHandle": "fewShotPromptTemplate_0-input-examplePrompt-PromptTemplate",
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"data": {
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"id": "openAI_0-openAI_0-output-openAI-OpenAI|BaseLLM|BaseLanguageModel-llmChain_0-llmChain_0-input-model-BaseLanguageModel",
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"sourceHandle": "fewShotPromptTemplate_0-output-fewShotPromptTemplate-FewShotPromptTemplate|BaseStringPromptTemplate|BasePromptTemplate",
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@@ -3,11 +3,11 @@
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"nodes": [
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@@ -15,7 +15,7 @@
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"label": "Serp API",
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||||
"name": "serpAPI",
|
||||
"type": "SerpAPI",
|
||||
"baseClasses": ["Tool"],
|
||||
"baseClasses": ["SerpAPI", "Tool"],
|
||||
"category": "Tools",
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||||
"description": "Wrapper around SerpAPI - a real-time API to access Google search results",
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"inputParams": [
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@@ -29,28 +29,28 @@
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"inputs": {},
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"id": "serpAPI_0-output-serpAPI-SerpAPI|Tool",
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||||
"name": "serpAPI",
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||||
"label": "SerpAPI",
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"type": "Tool"
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||||
"type": "SerpAPI | Tool"
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@@ -58,7 +58,7 @@
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"label": "Calculator",
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"name": "calculator",
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|
||||
"target": "llmChain_0",
|
||||
"targetHandle": "llmChain_0-input-llm-BaseLanguageModel",
|
||||
"targetHandle": "llmChain_0-input-prompt-BasePromptTemplate",
|
||||
"type": "buttonedge",
|
||||
"id": "openAI_0-openAI_0-output-openAI-BaseLLM|BaseLanguageModel-llmChain_0-llmChain_0-input-llm-BaseLanguageModel",
|
||||
"id": "promptTemplate_0-promptTemplate_0-output-promptTemplate-PromptTemplate|BaseStringPromptTemplate|BasePromptTemplate-llmChain_0-llmChain_0-input-prompt-BasePromptTemplate",
|
||||
"data": {
|
||||
"label": ""
|
||||
}
|
||||
},
|
||||
{
|
||||
"source": "promptTemplate_0",
|
||||
"sourceHandle": "promptTemplate_0-output-promptTemplate-BaseStringPromptTemplate|BasePromptTemplate",
|
||||
"source": "openAI_0",
|
||||
"sourceHandle": "openAI_0-output-openAI-OpenAI|BaseLLM|BaseLanguageModel",
|
||||
"target": "llmChain_0",
|
||||
"targetHandle": "llmChain_0-input-prompt-BasePromptTemplate",
|
||||
"targetHandle": "llmChain_0-input-model-BaseLanguageModel",
|
||||
"type": "buttonedge",
|
||||
"id": "promptTemplate_0-promptTemplate_0-output-promptTemplate-BaseStringPromptTemplate|BasePromptTemplate-llmChain_0-llmChain_0-input-prompt-BasePromptTemplate",
|
||||
"id": "openAI_0-openAI_0-output-openAI-OpenAI|BaseLLM|BaseLanguageModel-llmChain_0-llmChain_0-input-model-BaseLanguageModel",
|
||||
"data": {
|
||||
"label": ""
|
||||
}
|
||||
|
||||
@@ -4,143 +4,10 @@
|
||||
{
|
||||
"width": 300,
|
||||
"height": 460,
|
||||
"id": "llmChain_0",
|
||||
"position": {
|
||||
"x": 1301.8762472836022,
|
||||
"y": 772.7199253009146
|
||||
},
|
||||
"type": "customNode",
|
||||
"data": {
|
||||
"id": "llmChain_0",
|
||||
"label": "LLM Chain",
|
||||
"name": "llmChain",
|
||||
"type": "LLMChain",
|
||||
"baseClasses": ["BaseChain"],
|
||||
"category": "Chains",
|
||||
"description": "Chain to run queries against LLMs",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "Format Prompt Values",
|
||||
"name": "promptValues",
|
||||
"type": "string",
|
||||
"rows": 5,
|
||||
"placeholder": "{\n \"input_language\": \"English\",\n \"output_language\": \"French\"\n}",
|
||||
"optional": true
|
||||
}
|
||||
],
|
||||
"inputAnchors": [
|
||||
{
|
||||
"label": "LLM",
|
||||
"name": "llm",
|
||||
"type": "BaseLanguageModel",
|
||||
"id": "llmChain_0-input-llm-BaseLanguageModel"
|
||||
},
|
||||
{
|
||||
"label": "Prompt",
|
||||
"name": "prompt",
|
||||
"type": "BasePromptTemplate",
|
||||
"id": "llmChain_0-input-prompt-BasePromptTemplate"
|
||||
}
|
||||
],
|
||||
"inputs": {
|
||||
"llm": "{{chatOpenAI_0.data.instance}}",
|
||||
"prompt": "{{chatPromptTemplate_0.data.instance}}",
|
||||
"promptValues": "{\n \"input_language\": \"English\",\n \"output_language\": \"Italian\"\n}"
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"id": "llmChain_0-output-llmChain-BaseChain",
|
||||
"name": "llmChain",
|
||||
"label": "LLMChain",
|
||||
"type": "BaseChain"
|
||||
}
|
||||
],
|
||||
"selected": false
|
||||
},
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": 1301.8762472836022,
|
||||
"y": 772.7199253009146
|
||||
},
|
||||
"dragging": false
|
||||
},
|
||||
{
|
||||
"width": 300,
|
||||
"height": 471,
|
||||
"id": "chatOpenAI_0",
|
||||
"position": {
|
||||
"x": 821.5000372338304,
|
||||
"y": 369.8333649665954
|
||||
},
|
||||
"type": "customNode",
|
||||
"data": {
|
||||
"id": "chatOpenAI_0",
|
||||
"label": "ChatOpenAI",
|
||||
"name": "chatOpenAI",
|
||||
"type": "ChatOpenAI",
|
||||
"baseClasses": ["BaseChatModel", "BaseLanguageModel"],
|
||||
"category": "Chat Models",
|
||||
"description": "Wrapper around OpenAI large language models that use the Chat endpoint",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "OpenAI Api Key",
|
||||
"name": "openAIApiKey",
|
||||
"type": "password"
|
||||
},
|
||||
{
|
||||
"label": "Model Name",
|
||||
"name": "modelName",
|
||||
"type": "options",
|
||||
"options": [
|
||||
{
|
||||
"label": "gpt-3.5-turbo",
|
||||
"name": "gpt-3.5-turbo"
|
||||
},
|
||||
{
|
||||
"label": "gpt-3.5-turbo-0301",
|
||||
"name": "gpt-3.5-turbo-0301"
|
||||
}
|
||||
],
|
||||
"default": "gpt-3.5-turbo",
|
||||
"optional": true
|
||||
},
|
||||
{
|
||||
"label": "Temperature",
|
||||
"name": "temperature",
|
||||
"type": "number",
|
||||
"default": 0.9,
|
||||
"optional": true
|
||||
}
|
||||
],
|
||||
"inputAnchors": [],
|
||||
"inputs": {
|
||||
"modelName": "gpt-3.5-turbo",
|
||||
"temperature": "0"
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"id": "chatOpenAI_0-output-chatOpenAI-BaseChatModel|BaseLanguageModel",
|
||||
"name": "chatOpenAI",
|
||||
"label": "ChatOpenAI",
|
||||
"type": "BaseChatModel | BaseLanguageModel"
|
||||
}
|
||||
],
|
||||
"selected": false
|
||||
},
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": 821.5000372338304,
|
||||
"y": 369.8333649665954
|
||||
},
|
||||
"dragging": false
|
||||
},
|
||||
{
|
||||
"width": 300,
|
||||
"height": 459,
|
||||
"id": "chatPromptTemplate_0",
|
||||
"position": {
|
||||
"x": 821.3479428749118,
|
||||
"y": 871.7203878238932
|
||||
"x": 524,
|
||||
"y": 237
|
||||
},
|
||||
"type": "customNode",
|
||||
"data": {
|
||||
@@ -148,7 +15,7 @@
|
||||
"label": "Chat Prompt Template",
|
||||
"name": "chatPromptTemplate",
|
||||
"type": "ChatPromptTemplate",
|
||||
"baseClasses": ["BasePromptTemplate"],
|
||||
"baseClasses": ["ChatPromptTemplate", "BaseChatPromptTemplate", "BasePromptTemplate"],
|
||||
"category": "Prompts",
|
||||
"description": "Schema to represent a chat prompt",
|
||||
"inputParams": [
|
||||
@@ -174,18 +41,163 @@
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"id": "chatPromptTemplate_0-output-chatPromptTemplate-BasePromptTemplate",
|
||||
"id": "chatPromptTemplate_0-output-chatPromptTemplate-ChatPromptTemplate|BaseChatPromptTemplate|BasePromptTemplate",
|
||||
"name": "chatPromptTemplate",
|
||||
"label": "ChatPromptTemplate",
|
||||
"type": "BasePromptTemplate"
|
||||
"type": "ChatPromptTemplate | BaseChatPromptTemplate | BasePromptTemplate"
|
||||
}
|
||||
],
|
||||
"selected": false
|
||||
},
|
||||
"selected": false,
|
||||
"dragging": false,
|
||||
"positionAbsolute": {
|
||||
"x": 524,
|
||||
"y": 237
|
||||
}
|
||||
},
|
||||
{
|
||||
"width": 300,
|
||||
"height": 472,
|
||||
"id": "chatOpenAI_0",
|
||||
"position": {
|
||||
"x": 855.1997276913991,
|
||||
"y": 24.090553068402556
|
||||
},
|
||||
"type": "customNode",
|
||||
"data": {
|
||||
"id": "chatOpenAI_0",
|
||||
"label": "ChatOpenAI",
|
||||
"name": "chatOpenAI",
|
||||
"type": "ChatOpenAI",
|
||||
"baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel"],
|
||||
"category": "Chat Models",
|
||||
"description": "Wrapper around OpenAI large language models that use the Chat endpoint",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "OpenAI Api Key",
|
||||
"name": "openAIApiKey",
|
||||
"type": "password"
|
||||
},
|
||||
{
|
||||
"label": "Model Name",
|
||||
"name": "modelName",
|
||||
"type": "options",
|
||||
"options": [
|
||||
{
|
||||
"label": "gpt-4",
|
||||
"name": "gpt-4"
|
||||
},
|
||||
{
|
||||
"label": "gpt-4-0314",
|
||||
"name": "gpt-4-0314"
|
||||
},
|
||||
{
|
||||
"label": "gpt-4-32k-0314",
|
||||
"name": "gpt-4-32k-0314"
|
||||
},
|
||||
{
|
||||
"label": "gpt-3.5-turbo",
|
||||
"name": "gpt-3.5-turbo"
|
||||
},
|
||||
{
|
||||
"label": "gpt-3.5-turbo-0301",
|
||||
"name": "gpt-3.5-turbo-0301"
|
||||
}
|
||||
],
|
||||
"default": "gpt-3.5-turbo",
|
||||
"optional": true
|
||||
},
|
||||
{
|
||||
"label": "Temperature",
|
||||
"name": "temperature",
|
||||
"type": "number",
|
||||
"default": 0.9,
|
||||
"optional": true
|
||||
}
|
||||
],
|
||||
"inputAnchors": [],
|
||||
"inputs": {
|
||||
"modelName": "gpt-3.5-turbo",
|
||||
"temperature": 0.9
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"id": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel",
|
||||
"name": "chatOpenAI",
|
||||
"label": "ChatOpenAI",
|
||||
"type": "ChatOpenAI | BaseChatModel | BaseLanguageModel"
|
||||
}
|
||||
],
|
||||
"selected": false
|
||||
},
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": 821.3479428749118,
|
||||
"y": 871.7203878238932
|
||||
"x": 855.1997276913991,
|
||||
"y": 24.090553068402556
|
||||
},
|
||||
"dragging": false
|
||||
},
|
||||
{
|
||||
"width": 300,
|
||||
"height": 461,
|
||||
"id": "llmChain_0",
|
||||
"position": {
|
||||
"x": 1192.2235692202612,
|
||||
"y": 361.71736677076257
|
||||
},
|
||||
"type": "customNode",
|
||||
"data": {
|
||||
"id": "llmChain_0",
|
||||
"label": "LLM Chain",
|
||||
"name": "llmChain",
|
||||
"type": "LLMChain",
|
||||
"baseClasses": ["LLMChain", "BaseChain"],
|
||||
"category": "Chains",
|
||||
"description": "Chain to run queries against LLMs",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "Format Prompt Values",
|
||||
"name": "promptValues",
|
||||
"type": "string",
|
||||
"rows": 5,
|
||||
"placeholder": "{\n \"input_language\": \"English\",\n \"output_language\": \"French\"\n}",
|
||||
"optional": true
|
||||
}
|
||||
],
|
||||
"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"
|
||||
}
|
||||
],
|
||||
"inputs": {
|
||||
"model": "{{chatOpenAI_0.data.instance}}",
|
||||
"prompt": "{{chatPromptTemplate_0.data.instance}}",
|
||||
"promptValues": "{\n \"input_language\": \"English\",\n \"output_language\": \"French\"\n}"
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"id": "llmChain_0-output-llmChain-LLMChain|BaseChain",
|
||||
"name": "llmChain",
|
||||
"label": "LLMChain",
|
||||
"type": "LLMChain | BaseChain"
|
||||
}
|
||||
],
|
||||
"selected": false
|
||||
},
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": 1192.2235692202612,
|
||||
"y": 361.71736677076257
|
||||
},
|
||||
"dragging": false
|
||||
}
|
||||
@@ -193,22 +205,22 @@
|
||||
"edges": [
|
||||
{
|
||||
"source": "chatOpenAI_0",
|
||||
"sourceHandle": "chatOpenAI_0-output-chatOpenAI-BaseChatModel|BaseLanguageModel",
|
||||
"sourceHandle": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel",
|
||||
"target": "llmChain_0",
|
||||
"targetHandle": "llmChain_0-input-llm-BaseLanguageModel",
|
||||
"targetHandle": "llmChain_0-input-model-BaseLanguageModel",
|
||||
"type": "buttonedge",
|
||||
"id": "chatOpenAI_0-chatOpenAI_0-output-chatOpenAI-BaseChatModel|BaseLanguageModel-llmChain_0-llmChain_0-input-llm-BaseLanguageModel",
|
||||
"id": "chatOpenAI_0-chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel-llmChain_0-llmChain_0-input-model-BaseLanguageModel",
|
||||
"data": {
|
||||
"label": ""
|
||||
}
|
||||
},
|
||||
{
|
||||
"source": "chatPromptTemplate_0",
|
||||
"sourceHandle": "chatPromptTemplate_0-output-chatPromptTemplate-BasePromptTemplate",
|
||||
"sourceHandle": "chatPromptTemplate_0-output-chatPromptTemplate-ChatPromptTemplate|BaseChatPromptTemplate|BasePromptTemplate",
|
||||
"target": "llmChain_0",
|
||||
"targetHandle": "llmChain_0-input-prompt-BasePromptTemplate",
|
||||
"type": "buttonedge",
|
||||
"id": "chatPromptTemplate_0-chatPromptTemplate_0-output-chatPromptTemplate-BasePromptTemplate-llmChain_0-llmChain_0-input-prompt-BasePromptTemplate",
|
||||
"id": "chatPromptTemplate_0-chatPromptTemplate_0-output-chatPromptTemplate-ChatPromptTemplate|BaseChatPromptTemplate|BasePromptTemplate-llmChain_0-llmChain_0-input-prompt-BasePromptTemplate",
|
||||
"data": {
|
||||
"label": ""
|
||||
}
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "flowise",
|
||||
"version": "1.0.1",
|
||||
"version": "1.1.1",
|
||||
"description": "Flowiseai Server",
|
||||
"main": "dist/index",
|
||||
"types": "dist/index.d.ts",
|
||||
|
||||
@@ -95,6 +95,10 @@ export interface INodeQueue {
|
||||
depth: number
|
||||
}
|
||||
|
||||
export interface IDepthQueue {
|
||||
[key: string]: number
|
||||
}
|
||||
|
||||
export interface IMessage {
|
||||
message: string
|
||||
type: MessageType
|
||||
|
||||
@@ -23,9 +23,6 @@ export class NodesPool {
|
||||
const newNodeInstance = new nodeModule.nodeClass()
|
||||
newNodeInstance.filePath = file
|
||||
|
||||
const baseClasses = await newNodeInstance.getBaseClasses!.call(newNodeInstance)
|
||||
newNodeInstance.baseClasses = baseClasses
|
||||
|
||||
this.componentNodes[newNodeInstance.name] = newNodeInstance
|
||||
|
||||
// Replace file icon with absolute path
|
||||
|
||||
@@ -5,7 +5,7 @@ import http from 'http'
|
||||
import * as fs from 'fs'
|
||||
|
||||
import { IChatFlow, IncomingInput, IReactFlowNode, IReactFlowObject } from './Interface'
|
||||
import { getNodeModulesPackagePath, getStartingNode, buildLangchain, getEndingNode, constructGraphs } from './utils'
|
||||
import { getNodeModulesPackagePath, getStartingNodes, buildLangchain, getEndingNode, constructGraphs } from './utils'
|
||||
import { cloneDeep } from 'lodash'
|
||||
import { getDataSource } from './DataSource'
|
||||
import { NodesPool } from './NodesPool'
|
||||
@@ -209,13 +209,26 @@ export class App {
|
||||
|
||||
const flowData = chatflow.flowData
|
||||
const parsedFlowData: IReactFlowObject = JSON.parse(flowData)
|
||||
|
||||
/*** Get Ending Node with Directed Graph ***/
|
||||
const { graph, nodeDependencies } = constructGraphs(parsedFlowData.nodes, parsedFlowData.edges)
|
||||
const directedGraph = graph
|
||||
const endingNodeId = getEndingNode(nodeDependencies, directedGraph)
|
||||
if (!endingNodeId) return res.status(500).send(`Ending node must be either a Chain or Agent`)
|
||||
|
||||
const startingNodeIds = getStartingNode(nodeDependencies)
|
||||
const endingNodeId = getEndingNode(nodeDependencies, graph)
|
||||
if (!endingNodeId) return res.status(500).send(`Ending node must be either Chain or Agent`)
|
||||
/*** Get Starting Nodes with Non-Directed Graph ***/
|
||||
const constructedObj = constructGraphs(parsedFlowData.nodes, parsedFlowData.edges, true)
|
||||
const nonDirectedGraph = constructedObj.graph
|
||||
const { startingNodeIds, depthQueue } = getStartingNodes(nonDirectedGraph, endingNodeId)
|
||||
|
||||
const reactFlowNodes = await buildLangchain(startingNodeIds, parsedFlowData.nodes, graph, this.nodesPool.componentNodes)
|
||||
/*** BFS to traverse from Starting Nodes to Ending Node ***/
|
||||
const reactFlowNodes = await buildLangchain(
|
||||
startingNodeIds,
|
||||
parsedFlowData.nodes,
|
||||
graph,
|
||||
depthQueue,
|
||||
this.nodesPool.componentNodes
|
||||
)
|
||||
|
||||
const nodeToExecute = reactFlowNodes.find((node: IReactFlowNode) => node.id === endingNodeId)
|
||||
if (!nodeToExecute) return res.status(404).send(`Node ${endingNodeId} not found`)
|
||||
|
||||
@@ -2,6 +2,7 @@ import path from 'path'
|
||||
import fs from 'fs'
|
||||
import {
|
||||
IComponentNodes,
|
||||
IDepthQueue,
|
||||
IExploredNode,
|
||||
INodeDependencies,
|
||||
INodeDirectedGraph,
|
||||
@@ -54,11 +55,12 @@ export const getNodeModulesPackagePath = (packageName: string): string => {
|
||||
}
|
||||
|
||||
/**
|
||||
* Construct directed graph and node dependencies score
|
||||
* Construct graph and node dependencies score
|
||||
* @param {IReactFlowNode[]} reactFlowNodes
|
||||
* @param {IReactFlowEdge[]} reactFlowEdges
|
||||
* @param {boolean} isNondirected
|
||||
*/
|
||||
export const constructGraphs = (reactFlowNodes: IReactFlowNode[], reactFlowEdges: IReactFlowEdge[]) => {
|
||||
export const constructGraphs = (reactFlowNodes: IReactFlowNode[], reactFlowEdges: IReactFlowEdge[], isNondirected = false) => {
|
||||
const nodeDependencies = {} as INodeDependencies
|
||||
const graph = {} as INodeDirectedGraph
|
||||
|
||||
@@ -77,6 +79,14 @@ export const constructGraphs = (reactFlowNodes: IReactFlowNode[], reactFlowEdges
|
||||
} else {
|
||||
graph[source] = [target]
|
||||
}
|
||||
|
||||
if (isNondirected) {
|
||||
if (Object.prototype.hasOwnProperty.call(graph, target)) {
|
||||
graph[target].push(source)
|
||||
} else {
|
||||
graph[target] = [source]
|
||||
}
|
||||
}
|
||||
nodeDependencies[target] += 1
|
||||
}
|
||||
|
||||
@@ -84,18 +94,52 @@ export const constructGraphs = (reactFlowNodes: IReactFlowNode[], reactFlowEdges
|
||||
}
|
||||
|
||||
/**
|
||||
* Get starting node and check if flow is valid
|
||||
* @param {INodeDependencies} nodeDependencies
|
||||
* Get starting nodes and check if flow is valid
|
||||
* @param {INodeDependencies} graph
|
||||
* @param {string} endNodeId
|
||||
*/
|
||||
export const getStartingNode = (nodeDependencies: INodeDependencies) => {
|
||||
// Find starting node
|
||||
const startingNodeIds = [] as string[]
|
||||
Object.keys(nodeDependencies).forEach((nodeId) => {
|
||||
if (nodeDependencies[nodeId] === 0) {
|
||||
startingNodeIds.push(nodeId)
|
||||
export const getStartingNodes = (graph: INodeDirectedGraph, endNodeId: string) => {
|
||||
const visited = new Set<string>()
|
||||
const queue: Array<[string, number]> = [[endNodeId, 0]]
|
||||
const depthQueue: IDepthQueue = {
|
||||
[endNodeId]: 0
|
||||
}
|
||||
|
||||
let maxDepth = 0
|
||||
let startingNodeIds: string[] = []
|
||||
|
||||
while (queue.length > 0) {
|
||||
const [currentNode, depth] = queue.shift()!
|
||||
|
||||
if (visited.has(currentNode)) {
|
||||
continue
|
||||
}
|
||||
})
|
||||
return startingNodeIds
|
||||
|
||||
visited.add(currentNode)
|
||||
|
||||
if (depth > maxDepth) {
|
||||
maxDepth = depth
|
||||
startingNodeIds = [currentNode]
|
||||
} else if (depth === maxDepth) {
|
||||
startingNodeIds.push(currentNode)
|
||||
}
|
||||
|
||||
for (const neighbor of graph[currentNode]) {
|
||||
if (!visited.has(neighbor)) {
|
||||
queue.push([neighbor, depth + 1])
|
||||
depthQueue[neighbor] = depth + 1
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
const depthQueueReversed: IDepthQueue = {}
|
||||
for (const nodeId in depthQueue) {
|
||||
if (Object.prototype.hasOwnProperty.call(depthQueue, nodeId)) {
|
||||
depthQueueReversed[nodeId] = Math.abs(depthQueue[nodeId] - maxDepth)
|
||||
}
|
||||
}
|
||||
|
||||
return { startingNodeIds, depthQueue: depthQueueReversed }
|
||||
}
|
||||
|
||||
/**
|
||||
@@ -104,7 +148,6 @@ export const getStartingNode = (nodeDependencies: INodeDependencies) => {
|
||||
* @param {INodeDirectedGraph} graph
|
||||
*/
|
||||
export const getEndingNode = (nodeDependencies: INodeDependencies, graph: INodeDirectedGraph) => {
|
||||
// Find ending node
|
||||
let endingNodeId = ''
|
||||
Object.keys(graph).forEach((nodeId) => {
|
||||
if (Object.keys(nodeDependencies).length === 1) {
|
||||
@@ -121,12 +164,14 @@ export const getEndingNode = (nodeDependencies: INodeDependencies, graph: INodeD
|
||||
* @param {string} startingNodeId
|
||||
* @param {IReactFlowNode[]} reactFlowNodes
|
||||
* @param {INodeDirectedGraph} graph
|
||||
* @param {IDepthQueue} depthQueue
|
||||
* @param {IComponentNodes} componentNodes
|
||||
*/
|
||||
export const buildLangchain = async (
|
||||
startingNodeIds: string[],
|
||||
reactFlowNodes: IReactFlowNode[],
|
||||
graph: INodeDirectedGraph,
|
||||
depthQueue: IDepthQueue,
|
||||
componentNodes: IComponentNodes
|
||||
) => {
|
||||
const flowNodes = cloneDeep(reactFlowNodes)
|
||||
@@ -166,6 +211,14 @@ export const buildLangchain = async (
|
||||
const neighbourNodeIds = graph[nodeId]
|
||||
const nextDepth = depth + 1
|
||||
|
||||
// Find other nodes that are on the same depth level
|
||||
const sameDepthNodeIds = Object.keys(depthQueue).filter((key) => depthQueue[key] === nextDepth)
|
||||
|
||||
for (const id of sameDepthNodeIds) {
|
||||
if (neighbourNodeIds.includes(id)) continue
|
||||
neighbourNodeIds.push(id)
|
||||
}
|
||||
|
||||
for (let i = 0; i < neighbourNodeIds.length; i += 1) {
|
||||
const neighNodeId = neighbourNodeIds[i]
|
||||
|
||||
|
||||
Reference in New Issue
Block a user