mirror of
https://github.com/farcasclaudiu/Flowise.git
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Merge branch 'main' into FEATURE/Vision
# Conflicts: # packages/components/nodes/agents/ConversationalAgent/ConversationalAgent.ts # packages/components/nodes/agents/MRKLAgentChat/MRKLAgentChat.ts # packages/components/nodes/chains/ConversationChain/ConversationChain.ts # packages/components/nodes/chains/LLMChain/LLMChain.ts # packages/components/nodes/chatmodels/ChatOpenAI/ChatOpenAI.ts
This commit is contained in:
Henry
@@ -125,6 +125,10 @@
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"label": "gpt-4-1106-preview",
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"name": "gpt-4-1106-preview"
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},
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{
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"label": "gpt-4-1106-vision-preview",
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"name": "gpt-4-1106-vision-preview"
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},
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{
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"label": "gpt-4-vision-preview",
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"name": "gpt-4-vision-preview"
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@@ -145,6 +149,10 @@
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"label": "gpt-3.5-turbo",
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"name": "gpt-3.5-turbo"
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},
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{
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"label": "gpt-3.5-turbo-0125",
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"name": "gpt-3.5-turbo-0125"
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{
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"label": "gpt-3.5-turbo-1106",
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"name": "gpt-3.5-turbo-1106"
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@@ -464,6 +472,10 @@
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"label": "gpt-4-1106-preview",
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"name": "gpt-4-1106-preview"
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},
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{
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"label": "gpt-4-1106-vision-preview",
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"name": "gpt-4-1106-vision-preview"
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},
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{
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"label": "gpt-4-vision-preview",
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"name": "gpt-4-vision-preview"
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@@ -484,6 +496,10 @@
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"label": "gpt-3.5-turbo",
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"name": "gpt-3.5-turbo"
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},
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{
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"label": "gpt-3.5-turbo-0125",
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"name": "gpt-3.5-turbo-0125"
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},
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{
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"label": "gpt-3.5-turbo-1106",
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"name": "gpt-3.5-turbo-1106"
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@@ -433,6 +433,10 @@
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"label": "gpt-4-1106-preview",
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"name": "gpt-4-1106-preview"
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},
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{
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"label": "gpt-4-1106-vision-preview",
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"name": "gpt-4-1106-vision-preview"
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},
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{
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"label": "gpt-4-vision-preview",
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"name": "gpt-4-vision-preview"
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@@ -453,6 +457,10 @@
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"label": "gpt-3.5-turbo",
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"name": "gpt-3.5-turbo"
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},
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{
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"label": "gpt-3.5-turbo-0125",
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"name": "gpt-3.5-turbo-0125"
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},
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{
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"label": "gpt-3.5-turbo-1106",
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"name": "gpt-3.5-turbo-1106"
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@@ -624,6 +632,10 @@
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"label": "gpt-4-1106-preview",
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"name": "gpt-4-1106-preview"
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},
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{
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"label": "gpt-4-1106-vision-preview",
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"name": "gpt-4-1106-vision-preview"
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},
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{
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"label": "gpt-4-vision-preview",
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"name": "gpt-4-vision-preview"
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@@ -644,6 +656,10 @@
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"label": "gpt-3.5-turbo",
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"name": "gpt-3.5-turbo"
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},
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{
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"label": "gpt-3.5-turbo-0125",
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"name": "gpt-3.5-turbo-0125"
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},
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{
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"label": "gpt-3.5-turbo-1106",
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"name": "gpt-3.5-turbo-1106"
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@@ -815,6 +831,10 @@
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"label": "gpt-4-1106-preview",
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"name": "gpt-4-1106-preview"
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},
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{
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"label": "gpt-4-1106-vision-preview",
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"name": "gpt-4-1106-vision-preview"
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},
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{
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"label": "gpt-4-vision-preview",
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"name": "gpt-4-vision-preview"
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@@ -835,6 +855,10 @@
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"label": "gpt-3.5-turbo",
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"name": "gpt-3.5-turbo"
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},
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{
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"label": "gpt-3.5-turbo-0125",
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"name": "gpt-3.5-turbo-0125"
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},
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{
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"label": "gpt-3.5-turbo-1106",
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"name": "gpt-3.5-turbo-1106"
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@@ -216,6 +216,10 @@
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"label": "gpt-4-1106-preview",
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"name": "gpt-4-1106-preview"
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},
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{
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"label": "gpt-4-1106-vision-preview",
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"name": "gpt-4-1106-vision-preview"
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{
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"label": "gpt-4-vision-preview",
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"name": "gpt-4-vision-preview"
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@@ -212,6 +212,10 @@
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"label": "gpt-4-1106-preview",
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"name": "gpt-4-1106-preview"
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},
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{
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"label": "gpt-4-1106-vision-preview",
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"name": "gpt-4-1106-vision-preview"
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},
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{
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"label": "gpt-4-vision-preview",
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"name": "gpt-4-vision-preview"
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@@ -232,6 +236,10 @@
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"label": "gpt-3.5-turbo",
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"name": "gpt-3.5-turbo"
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},
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{
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"label": "gpt-3.5-turbo-0125",
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"name": "gpt-3.5-turbo-0125"
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{
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"label": "gpt-3.5-turbo-1106",
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"name": "gpt-3.5-turbo-1106"
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@@ -288,6 +288,10 @@
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"label": "gpt-4-1106-preview",
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"name": "gpt-4-1106-preview"
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},
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{
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"label": "gpt-4-1106-vision-preview",
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"name": "gpt-4-1106-vision-preview"
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{
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"label": "gpt-4-vision-preview",
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"name": "gpt-4-vision-preview"
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@@ -308,6 +312,10 @@
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"label": "gpt-3.5-turbo",
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"name": "gpt-3.5-turbo"
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"label": "gpt-3.5-turbo-0125",
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"name": "gpt-3.5-turbo-0125"
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{
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"label": "gpt-3.5-turbo-1106",
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"name": "gpt-3.5-turbo-1106"
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@@ -381,6 +381,10 @@
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"label": "gpt-4-1106-preview",
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"name": "gpt-4-1106-preview"
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{
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"label": "gpt-4-1106-vision-preview",
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"name": "gpt-4-1106-vision-preview"
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{
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"label": "gpt-4-vision-preview",
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"name": "gpt-4-vision-preview"
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@@ -401,6 +405,10 @@
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"label": "gpt-3.5-turbo",
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"name": "gpt-3.5-turbo"
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"label": "gpt-3.5-turbo-0125",
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"name": "gpt-3.5-turbo-0125"
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"label": "gpt-3.5-turbo-1106",
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"name": "gpt-3.5-turbo-1106"
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@@ -106,6 +106,10 @@
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"label": "gpt-4-1106-preview",
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"name": "gpt-4-1106-preview"
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},
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{
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"label": "gpt-4-1106-vision-preview",
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"name": "gpt-4-1106-vision-preview"
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{
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"label": "gpt-4-vision-preview",
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"name": "gpt-4-vision-preview"
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@@ -126,6 +130,10 @@
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"label": "gpt-3.5-turbo",
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"name": "gpt-3.5-turbo"
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"label": "gpt-3.5-turbo-0125",
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"name": "gpt-3.5-turbo-0125"
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{
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"label": "gpt-3.5-turbo-1106",
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"name": "gpt-3.5-turbo-1106"
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@@ -231,6 +231,10 @@
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"label": "gpt-4-1106-preview",
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"name": "gpt-4-1106-preview"
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},
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{
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"label": "gpt-4-1106-vision-preview",
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"name": "gpt-4-1106-vision-preview"
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},
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{
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"label": "gpt-4-vision-preview",
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"name": "gpt-4-vision-preview"
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@@ -251,6 +255,10 @@
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"label": "gpt-3.5-turbo",
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"name": "gpt-3.5-turbo"
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},
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{
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"label": "gpt-3.5-turbo-0125",
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"name": "gpt-3.5-turbo-0125"
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{
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"label": "gpt-3.5-turbo-1106",
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"name": "gpt-3.5-turbo-1106"
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@@ -251,6 +251,10 @@
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"label": "gpt-4-1106-preview",
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"name": "gpt-4-1106-preview"
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"label": "gpt-4-1106-vision-preview",
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"label": "gpt-4-vision-preview",
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"label": "gpt-3.5-turbo",
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"label": "gpt-3.5-turbo-1106",
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"label": "gpt-4-1106-preview",
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"label": "gpt-3.5-turbo",
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"label": "gpt-4-1106-preview",
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"label": "gpt-3.5-turbo",
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"label": "gpt-3.5-turbo",
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"label": "gpt-4-1106-preview",
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"label": "gpt-3.5-turbo",
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"label": "gpt-4-1106-preview",
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|
||||
"name": "gpt-3.5-turbo-1106"
|
||||
|
||||
@@ -543,6 +543,10 @@
|
||||
"label": "gpt-4-1106-preview",
|
||||
"name": "gpt-4-1106-preview"
|
||||
},
|
||||
{
|
||||
"label": "gpt-4-1106-vision-preview",
|
||||
"name": "gpt-4-1106-vision-preview"
|
||||
},
|
||||
{
|
||||
"label": "gpt-4-vision-preview",
|
||||
"name": "gpt-4-vision-preview"
|
||||
@@ -563,6 +567,10 @@
|
||||
"label": "gpt-3.5-turbo",
|
||||
"name": "gpt-3.5-turbo"
|
||||
},
|
||||
{
|
||||
"label": "gpt-3.5-turbo-0125",
|
||||
"name": "gpt-3.5-turbo-0125"
|
||||
},
|
||||
{
|
||||
"label": "gpt-3.5-turbo-1106",
|
||||
"name": "gpt-3.5-turbo-1106"
|
||||
|
||||
@@ -490,6 +490,10 @@
|
||||
"label": "gpt-4-1106-preview",
|
||||
"name": "gpt-4-1106-preview"
|
||||
},
|
||||
{
|
||||
"label": "gpt-4-1106-vision-preview",
|
||||
"name": "gpt-4-1106-vision-preview"
|
||||
},
|
||||
{
|
||||
"label": "gpt-4-vision-preview",
|
||||
"name": "gpt-4-vision-preview"
|
||||
@@ -510,6 +514,10 @@
|
||||
"label": "gpt-3.5-turbo",
|
||||
"name": "gpt-3.5-turbo"
|
||||
},
|
||||
{
|
||||
"label": "gpt-3.5-turbo-0125",
|
||||
"name": "gpt-3.5-turbo-0125"
|
||||
},
|
||||
{
|
||||
"label": "gpt-3.5-turbo-1106",
|
||||
"name": "gpt-3.5-turbo-1106"
|
||||
|
||||
@@ -314,6 +314,10 @@
|
||||
"label": "gpt-4-1106-preview",
|
||||
"name": "gpt-4-1106-preview"
|
||||
},
|
||||
{
|
||||
"label": "gpt-4-1106-vision-preview",
|
||||
"name": "gpt-4-1106-vision-preview"
|
||||
},
|
||||
{
|
||||
"label": "gpt-4-vision-preview",
|
||||
"name": "gpt-4-vision-preview"
|
||||
@@ -334,6 +338,10 @@
|
||||
"label": "gpt-3.5-turbo",
|
||||
"name": "gpt-3.5-turbo"
|
||||
},
|
||||
{
|
||||
"label": "gpt-3.5-turbo-0125",
|
||||
"name": "gpt-3.5-turbo-0125"
|
||||
},
|
||||
{
|
||||
"label": "gpt-3.5-turbo-1106",
|
||||
"name": "gpt-3.5-turbo-1106"
|
||||
|
||||
@@ -425,6 +425,10 @@
|
||||
"label": "gpt-4-1106-preview",
|
||||
"name": "gpt-4-1106-preview"
|
||||
},
|
||||
{
|
||||
"label": "gpt-4-1106-vision-preview",
|
||||
"name": "gpt-4-1106-vision-preview"
|
||||
},
|
||||
{
|
||||
"label": "gpt-4-vision-preview",
|
||||
"name": "gpt-4-vision-preview"
|
||||
@@ -445,6 +449,10 @@
|
||||
"label": "gpt-3.5-turbo",
|
||||
"name": "gpt-3.5-turbo"
|
||||
},
|
||||
{
|
||||
"label": "gpt-3.5-turbo-0125",
|
||||
"name": "gpt-3.5-turbo-0125"
|
||||
},
|
||||
{
|
||||
"label": "gpt-3.5-turbo-1106",
|
||||
"name": "gpt-3.5-turbo-1106"
|
||||
|
||||
@@ -522,6 +522,10 @@
|
||||
"label": "gpt-4-1106-preview",
|
||||
"name": "gpt-4-1106-preview"
|
||||
},
|
||||
{
|
||||
"label": "gpt-4-1106-vision-preview",
|
||||
"name": "gpt-4-1106-vision-preview"
|
||||
},
|
||||
{
|
||||
"label": "gpt-4-vision-preview",
|
||||
"name": "gpt-4-vision-preview"
|
||||
@@ -542,6 +546,10 @@
|
||||
"label": "gpt-3.5-turbo",
|
||||
"name": "gpt-3.5-turbo"
|
||||
},
|
||||
{
|
||||
"label": "gpt-3.5-turbo-0125",
|
||||
"name": "gpt-3.5-turbo-0125"
|
||||
},
|
||||
{
|
||||
"label": "gpt-3.5-turbo-1106",
|
||||
"name": "gpt-3.5-turbo-1106"
|
||||
@@ -1040,6 +1048,10 @@
|
||||
"label": "gpt-4-1106-preview",
|
||||
"name": "gpt-4-1106-preview"
|
||||
},
|
||||
{
|
||||
"label": "gpt-4-1106-vision-preview",
|
||||
"name": "gpt-4-1106-vision-preview"
|
||||
},
|
||||
{
|
||||
"label": "gpt-4-vision-preview",
|
||||
"name": "gpt-4-vision-preview"
|
||||
@@ -1060,6 +1072,10 @@
|
||||
"label": "gpt-3.5-turbo",
|
||||
"name": "gpt-3.5-turbo"
|
||||
},
|
||||
{
|
||||
"label": "gpt-3.5-turbo-0125",
|
||||
"name": "gpt-3.5-turbo-0125"
|
||||
},
|
||||
{
|
||||
"label": "gpt-3.5-turbo-1106",
|
||||
"name": "gpt-3.5-turbo-1106"
|
||||
@@ -1238,6 +1254,10 @@
|
||||
"label": "gpt-4-1106-preview",
|
||||
"name": "gpt-4-1106-preview"
|
||||
},
|
||||
{
|
||||
"label": "gpt-4-1106-vision-preview",
|
||||
"name": "gpt-4-1106-vision-preview"
|
||||
},
|
||||
{
|
||||
"label": "gpt-4-vision-preview",
|
||||
"name": "gpt-4-vision-preview"
|
||||
@@ -1258,6 +1278,10 @@
|
||||
"label": "gpt-3.5-turbo",
|
||||
"name": "gpt-3.5-turbo"
|
||||
},
|
||||
{
|
||||
"label": "gpt-3.5-turbo-0125",
|
||||
"name": "gpt-3.5-turbo-0125"
|
||||
},
|
||||
{
|
||||
"label": "gpt-3.5-turbo-1106",
|
||||
"name": "gpt-3.5-turbo-1106"
|
||||
|
||||
@@ -316,6 +316,10 @@
|
||||
"label": "gpt-4-1106-preview",
|
||||
"name": "gpt-4-1106-preview"
|
||||
},
|
||||
{
|
||||
"label": "gpt-4-1106-vision-preview",
|
||||
"name": "gpt-4-1106-vision-preview"
|
||||
},
|
||||
{
|
||||
"label": "gpt-4-vision-preview",
|
||||
"name": "gpt-4-vision-preview"
|
||||
@@ -336,6 +340,10 @@
|
||||
"label": "gpt-3.5-turbo",
|
||||
"name": "gpt-3.5-turbo"
|
||||
},
|
||||
{
|
||||
"label": "gpt-3.5-turbo-0125",
|
||||
"name": "gpt-3.5-turbo-0125"
|
||||
},
|
||||
{
|
||||
"label": "gpt-3.5-turbo-1106",
|
||||
"name": "gpt-3.5-turbo-1106"
|
||||
|
||||
@@ -464,6 +464,10 @@
|
||||
"label": "gpt-4-1106-preview",
|
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"name": "gpt-4-1106-preview"
|
||||
},
|
||||
{
|
||||
"label": "gpt-4-1106-vision-preview",
|
||||
"name": "gpt-4-1106-vision-preview"
|
||||
},
|
||||
{
|
||||
"label": "gpt-4-vision-preview",
|
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"name": "gpt-4-vision-preview"
|
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@@ -484,6 +488,10 @@
|
||||
"label": "gpt-3.5-turbo",
|
||||
"name": "gpt-3.5-turbo"
|
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},
|
||||
{
|
||||
"label": "gpt-3.5-turbo-0125",
|
||||
"name": "gpt-3.5-turbo-0125"
|
||||
},
|
||||
{
|
||||
"label": "gpt-3.5-turbo-1106",
|
||||
"name": "gpt-3.5-turbo-1106"
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||||
@@ -662,6 +670,10 @@
|
||||
"label": "gpt-4-1106-preview",
|
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"name": "gpt-4-1106-preview"
|
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},
|
||||
{
|
||||
"label": "gpt-4-1106-vision-preview",
|
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"name": "gpt-4-1106-vision-preview"
|
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},
|
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{
|
||||
"label": "gpt-4-vision-preview",
|
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"name": "gpt-4-vision-preview"
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@@ -682,6 +694,10 @@
|
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"label": "gpt-3.5-turbo",
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"name": "gpt-3.5-turbo"
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},
|
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{
|
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"label": "gpt-3.5-turbo-0125",
|
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"name": "gpt-3.5-turbo-0125"
|
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},
|
||||
{
|
||||
"label": "gpt-3.5-turbo-1106",
|
||||
"name": "gpt-3.5-turbo-1106"
|
||||
|
||||
@@ -16,10 +16,10 @@
|
||||
"data": {
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"id": "queryEngine_0",
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"label": "Query Engine",
|
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"version": 1,
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"version": 2,
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"name": "queryEngine",
|
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"type": "QueryEngine",
|
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"baseClasses": ["QueryEngine"],
|
||||
"baseClasses": ["QueryEngine", "BaseQueryEngine"],
|
||||
"tags": ["LlamaIndex"],
|
||||
"category": "Engine",
|
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"description": "Simple query engine built to answer question over your data, without memory",
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||||
@@ -55,10 +55,10 @@
|
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},
|
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"outputAnchors": [
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{
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"id": "queryEngine_0-output-queryEngine-QueryEngine",
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"id": "queryEngine_0-output-queryEngine-QueryEngine|BaseQueryEngine",
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"name": "queryEngine",
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"label": "QueryEngine",
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"type": "QueryEngine"
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"type": "QueryEngine | BaseQueryEngine"
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}
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],
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"outputs": {},
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@@ -136,6 +136,10 @@
|
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"label": "gpt-4-1106-preview",
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"name": "gpt-4-1106-preview"
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},
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{
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"label": "gpt-4-1106-vision-preview",
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"name": "gpt-4-1106-vision-preview"
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},
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{
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"label": "gpt-4-vision-preview",
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"name": "gpt-4-vision-preview"
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@@ -156,6 +160,10 @@
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"label": "gpt-3.5-turbo",
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"name": "gpt-3.5-turbo"
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},
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{
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"label": "gpt-3.5-turbo-0125",
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"name": "gpt-3.5-turbo-0125"
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},
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{
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"label": "gpt-3.5-turbo-1106",
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"name": "gpt-3.5-turbo-1106"
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@@ -50,6 +50,10 @@
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"label": "gpt-4-1106-preview",
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"name": "gpt-4-1106-preview"
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},
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{
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"label": "gpt-4-1106-vision-preview",
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"name": "gpt-4-1106-vision-preview"
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},
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{
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"label": "gpt-4-vision-preview",
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"name": "gpt-4-vision-preview"
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@@ -70,6 +74,10 @@
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"label": "gpt-3.5-turbo",
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"name": "gpt-3.5-turbo"
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},
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{
|
||||
"label": "gpt-3.5-turbo-0125",
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"name": "gpt-3.5-turbo-0125"
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},
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{
|
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"label": "gpt-3.5-turbo-1106",
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||||
"name": "gpt-3.5-turbo-1106"
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||||
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@@ -210,6 +210,10 @@
|
||||
"label": "gpt-4-1106-preview",
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||||
"name": "gpt-4-1106-preview"
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},
|
||||
{
|
||||
"label": "gpt-4-1106-vision-preview",
|
||||
"name": "gpt-4-1106-vision-preview"
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||||
},
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||||
{
|
||||
"label": "gpt-4-vision-preview",
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||||
"name": "gpt-4-vision-preview"
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||||
@@ -230,6 +234,10 @@
|
||||
"label": "gpt-3.5-turbo",
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||||
"name": "gpt-3.5-turbo"
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},
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||||
{
|
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"label": "gpt-3.5-turbo-0125",
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||||
"name": "gpt-3.5-turbo-0125"
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},
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{
|
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"label": "gpt-3.5-turbo-1106",
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"name": "gpt-3.5-turbo-1106"
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||||
@@ -408,6 +416,10 @@
|
||||
"label": "gpt-4-1106-preview",
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||||
"name": "gpt-4-1106-preview"
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},
|
||||
{
|
||||
"label": "gpt-4-1106-vision-preview",
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||||
"name": "gpt-4-1106-vision-preview"
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||||
},
|
||||
{
|
||||
"label": "gpt-4-vision-preview",
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||||
"name": "gpt-4-vision-preview"
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||||
@@ -428,6 +440,10 @@
|
||||
"label": "gpt-3.5-turbo",
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||||
"name": "gpt-3.5-turbo"
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},
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||||
{
|
||||
"label": "gpt-3.5-turbo-0125",
|
||||
"name": "gpt-3.5-turbo-0125"
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||||
},
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{
|
||||
"label": "gpt-3.5-turbo-1106",
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||||
"name": "gpt-3.5-turbo-1106"
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||||
@@ -1332,6 +1348,10 @@
|
||||
"label": "gpt-4-1106-preview",
|
||||
"name": "gpt-4-1106-preview"
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||||
},
|
||||
{
|
||||
"label": "gpt-4-1106-vision-preview",
|
||||
"name": "gpt-4-1106-vision-preview"
|
||||
},
|
||||
{
|
||||
"label": "gpt-4-vision-preview",
|
||||
"name": "gpt-4-vision-preview"
|
||||
@@ -1352,6 +1372,10 @@
|
||||
"label": "gpt-3.5-turbo",
|
||||
"name": "gpt-3.5-turbo"
|
||||
},
|
||||
{
|
||||
"label": "gpt-3.5-turbo-0125",
|
||||
"name": "gpt-3.5-turbo-0125"
|
||||
},
|
||||
{
|
||||
"label": "gpt-3.5-turbo-1106",
|
||||
"name": "gpt-3.5-turbo-1106"
|
||||
|
||||
@@ -51,6 +51,10 @@
|
||||
"label": "gpt-4-1106-preview",
|
||||
"name": "gpt-4-1106-preview"
|
||||
},
|
||||
{
|
||||
"label": "gpt-4-1106-vision-preview",
|
||||
"name": "gpt-4-1106-vision-preview"
|
||||
},
|
||||
{
|
||||
"label": "gpt-4-vision-preview",
|
||||
"name": "gpt-4-vision-preview"
|
||||
@@ -71,6 +75,10 @@
|
||||
"label": "gpt-3.5-turbo",
|
||||
"name": "gpt-3.5-turbo"
|
||||
},
|
||||
{
|
||||
"label": "gpt-3.5-turbo-0125",
|
||||
"name": "gpt-3.5-turbo-0125"
|
||||
},
|
||||
{
|
||||
"label": "gpt-3.5-turbo-1106",
|
||||
"name": "gpt-3.5-turbo-1106"
|
||||
|
||||
@@ -51,6 +51,10 @@
|
||||
"label": "gpt-4-1106-preview",
|
||||
"name": "gpt-4-1106-preview"
|
||||
},
|
||||
{
|
||||
"label": "gpt-4-1106-vision-preview",
|
||||
"name": "gpt-4-1106-vision-preview"
|
||||
},
|
||||
{
|
||||
"label": "gpt-4-vision-preview",
|
||||
"name": "gpt-4-vision-preview"
|
||||
@@ -71,6 +75,10 @@
|
||||
"label": "gpt-3.5-turbo",
|
||||
"name": "gpt-3.5-turbo"
|
||||
},
|
||||
{
|
||||
"label": "gpt-3.5-turbo-0125",
|
||||
"name": "gpt-3.5-turbo-0125"
|
||||
},
|
||||
{
|
||||
"label": "gpt-3.5-turbo-1106",
|
||||
"name": "gpt-3.5-turbo-1106"
|
||||
|
||||
@@ -9,8 +9,8 @@
|
||||
"height": 749,
|
||||
"id": "compactrefineLlamaIndex_0",
|
||||
"position": {
|
||||
"x": -1214.7329938486841,
|
||||
"y": 56.52482754447425
|
||||
"x": -443.9012456561584,
|
||||
"y": 826.6100190232154
|
||||
},
|
||||
"type": "customNode",
|
||||
"data": {
|
||||
@@ -63,8 +63,8 @@
|
||||
},
|
||||
"selected": false,
|
||||
"positionAbsolute": {
|
||||
"x": -1214.7329938486841,
|
||||
"y": 56.52482754447425
|
||||
"x": -443.9012456561584,
|
||||
"y": 826.6100190232154
|
||||
},
|
||||
"dragging": false
|
||||
},
|
||||
@@ -73,8 +73,8 @@
|
||||
"height": 611,
|
||||
"id": "pineconeLlamaIndex_0",
|
||||
"position": {
|
||||
"x": 37.23548045607484,
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"y": -119.7364648743818
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"x": 35.45798119088212,
|
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"y": -132.1789597307308
|
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},
|
||||
"type": "customNode",
|
||||
"data": {
|
||||
@@ -183,14 +183,14 @@
|
||||
}
|
||||
],
|
||||
"outputs": {
|
||||
"output": "vectorStore"
|
||||
"output": "retriever"
|
||||
},
|
||||
"selected": false
|
||||
},
|
||||
"selected": false,
|
||||
"positionAbsolute": {
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||||
"type": "QueryEngineTool"
|
||||
}
|
||||
],
|
||||
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||||
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|
||||
},
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||||
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||||
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||||
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||||
{
|
||||
"width": 300,
|
||||
"height": 382,
|
||||
"id": "queryEngine_1",
|
||||
"position": {
|
||||
"x": 411.8632262885343,
|
||||
"y": -68.91392354277994
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||||
},
|
||||
"type": "customNode",
|
||||
"data": {
|
||||
"id": "queryEngine_1",
|
||||
"label": "Query Engine",
|
||||
"version": 2,
|
||||
"name": "queryEngine",
|
||||
"type": "QueryEngine",
|
||||
"baseClasses": ["QueryEngine", "BaseQueryEngine"],
|
||||
"tags": ["LlamaIndex"],
|
||||
"category": "Engine",
|
||||
"description": "Simple query engine built to answer question over your data, without memory",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "Return Source Documents",
|
||||
"name": "returnSourceDocuments",
|
||||
"type": "boolean",
|
||||
"optional": true,
|
||||
"id": "queryEngine_1-input-returnSourceDocuments-boolean"
|
||||
}
|
||||
],
|
||||
"inputAnchors": [
|
||||
{
|
||||
"label": "Vector Store Retriever",
|
||||
"name": "vectorStoreRetriever",
|
||||
"type": "VectorIndexRetriever",
|
||||
"id": "queryEngine_1-input-vectorStoreRetriever-VectorIndexRetriever"
|
||||
},
|
||||
{
|
||||
"label": "Response Synthesizer",
|
||||
"name": "responseSynthesizer",
|
||||
"type": "ResponseSynthesizer",
|
||||
"description": "ResponseSynthesizer is responsible for sending the query, nodes, and prompt templates to the LLM to generate a response. See <a target=\"_blank\" href=\"https://ts.llamaindex.ai/modules/low_level/response_synthesizer\">more</a>",
|
||||
"optional": true,
|
||||
"id": "queryEngine_1-input-responseSynthesizer-ResponseSynthesizer"
|
||||
}
|
||||
],
|
||||
"inputs": {
|
||||
"vectorStoreRetriever": "{{pineconeLlamaIndex_0.data.instance}}",
|
||||
"responseSynthesizer": "",
|
||||
"returnSourceDocuments": ""
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"id": "queryEngine_1-output-queryEngine-QueryEngine|BaseQueryEngine",
|
||||
"name": "queryEngine",
|
||||
"label": "QueryEngine",
|
||||
"description": "Simple query engine built to answer question over your data, without memory",
|
||||
"type": "QueryEngine | BaseQueryEngine"
|
||||
}
|
||||
],
|
||||
"outputs": {},
|
||||
"selected": false
|
||||
},
|
||||
"selected": false,
|
||||
"positionAbsolute": {
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||||
"x": 411.8632262885343,
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||||
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||||
},
|
||||
"dragging": false
|
||||
},
|
||||
{
|
||||
"width": 300,
|
||||
"height": 484,
|
||||
"id": "subQuestionQueryEngine_0",
|
||||
"position": {
|
||||
"x": 1204.489328490966,
|
||||
"y": 347.2090726754211
|
||||
},
|
||||
"type": "customNode",
|
||||
"data": {
|
||||
"id": "subQuestionQueryEngine_0",
|
||||
"label": "Sub Question Query Engine",
|
||||
"version": 2,
|
||||
"name": "subQuestionQueryEngine",
|
||||
"type": "SubQuestionQueryEngine",
|
||||
"baseClasses": ["SubQuestionQueryEngine", "BaseQueryEngine"],
|
||||
"tags": ["LlamaIndex"],
|
||||
"category": "Engine",
|
||||
"description": "Breaks complex query into sub questions for each relevant data source, then gather all the intermediate reponses and synthesizes a final response",
|
||||
"inputParams": [
|
||||
{
|
||||
"label": "Return Source Documents",
|
||||
"name": "returnSourceDocuments",
|
||||
"type": "boolean",
|
||||
"optional": true,
|
||||
"id": "subQuestionQueryEngine_0-input-returnSourceDocuments-boolean"
|
||||
}
|
||||
],
|
||||
"inputAnchors": [
|
||||
{
|
||||
"label": "QueryEngine Tools",
|
||||
"name": "queryEngineTools",
|
||||
"type": "QueryEngineTool",
|
||||
"list": true,
|
||||
"id": "subQuestionQueryEngine_0-input-queryEngineTools-QueryEngineTool"
|
||||
},
|
||||
{
|
||||
"label": "Chat Model",
|
||||
"name": "model",
|
||||
"type": "BaseChatModel_LlamaIndex",
|
||||
"id": "subQuestionQueryEngine_0-input-model-BaseChatModel_LlamaIndex"
|
||||
},
|
||||
{
|
||||
"label": "Embeddings",
|
||||
"name": "embeddings",
|
||||
"type": "BaseEmbedding_LlamaIndex",
|
||||
"id": "subQuestionQueryEngine_0-input-embeddings-BaseEmbedding_LlamaIndex"
|
||||
},
|
||||
{
|
||||
"label": "Response Synthesizer",
|
||||
"name": "responseSynthesizer",
|
||||
"type": "ResponseSynthesizer",
|
||||
"description": "ResponseSynthesizer is responsible for sending the query, nodes, and prompt templates to the LLM to generate a response. See <a target=\"_blank\" href=\"https://ts.llamaindex.ai/modules/low_level/response_synthesizer\">more</a>",
|
||||
"optional": true,
|
||||
"id": "subQuestionQueryEngine_0-input-responseSynthesizer-ResponseSynthesizer"
|
||||
}
|
||||
],
|
||||
"inputs": {
|
||||
"queryEngineTools": ["{{queryEngineToolLlamaIndex_2.data.instance}}", "{{queryEngineToolLlamaIndex_1.data.instance}}"],
|
||||
"model": "{{chatOpenAI_LlamaIndex_1.data.instance}}",
|
||||
"embeddings": "{{openAIEmbedding_LlamaIndex_1.data.instance}}",
|
||||
"responseSynthesizer": "{{compactrefineLlamaIndex_0.data.instance}}",
|
||||
"returnSourceDocuments": true
|
||||
},
|
||||
"outputAnchors": [
|
||||
{
|
||||
"id": "subQuestionQueryEngine_0-output-subQuestionQueryEngine-SubQuestionQueryEngine|BaseQueryEngine",
|
||||
"name": "subQuestionQueryEngine",
|
||||
"label": "SubQuestionQueryEngine",
|
||||
"description": "Breaks complex query into sub questions for each relevant data source, then gather all the intermediate reponses and synthesizes a final response",
|
||||
"type": "SubQuestionQueryEngine | BaseQueryEngine"
|
||||
}
|
||||
],
|
||||
"outputs": {},
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||||
"selected": false
|
||||
},
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||||
"selected": false,
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"positionAbsolute": {
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"x": 1204.489328490966,
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},
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"dragging": false
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},
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{
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},
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"type": "stickyNote",
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"data": {
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@@ -987,13 +1126,14 @@
|
||||
],
|
||||
"inputAnchors": [],
|
||||
"inputs": {
|
||||
"note": "Query previously upserted documents with corresponding metadata key value pair - \n{ source: \"apple\"}"
|
||||
"note": "Break questions into subqueries, then retrieve corresponding context using queryengine tools"
|
||||
},
|
||||
"outputAnchors": [
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{
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"id": "stickyNote_0-output-stickyNote-StickyNote",
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"name": "stickyNote",
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"label": "StickyNote",
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||||
"description": "Add a sticky note",
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||||
"type": "StickyNote"
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}
|
||||
],
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||||
@@ -1002,8 +1142,8 @@
|
||||
},
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||||
"selected": false,
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"positionAbsolute": {
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"x": 1208.1786832265154,
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"y": 238.26647262900994
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||||
},
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||||
"dragging": false
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||||
},
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||||
@@ -1012,8 +1152,8 @@
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||||
"height": 82,
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"id": "stickyNote_1",
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"x": 416.8958270395809,
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},
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"type": "stickyNote",
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"data": {
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@@ -1038,13 +1178,14 @@
|
||||
],
|
||||
"inputAnchors": [],
|
||||
"inputs": {
|
||||
"note": "Query previously upserted documents with corresponding metadata key value pair - \n{ source: \"tesla\"}"
|
||||
"note": "Query previously upserted documents with corresponding metadata key value pair - \n{ source: \"<company>\"}"
|
||||
},
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||||
"outputAnchors": [
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{
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||||
"id": "stickyNote_1-output-stickyNote-StickyNote",
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"name": "stickyNote",
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"label": "StickyNote",
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"description": "Add a sticky note",
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"type": "StickyNote"
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}
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],
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@@ -1053,59 +1194,8 @@
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},
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"selected": false,
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"positionAbsolute": {
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"x": 37.74909394815296,
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},
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"dragging": false
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},
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{
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"width": 300,
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"id": "stickyNote_2",
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"position": {
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},
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"type": "stickyNote",
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"data": {
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"id": "stickyNote_2",
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"label": "Sticky Note",
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"version": 1,
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"name": "stickyNote",
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"type": "StickyNote",
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||||
"baseClasses": ["StickyNote"],
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"category": "Utilities",
|
||||
"description": "Add a sticky note",
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||||
"inputParams": [
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||||
{
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||||
"label": "",
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||||
"name": "note",
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"type": "string",
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"rows": 1,
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"placeholder": "Type something here",
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"optional": true,
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"id": "stickyNote_2-input-note-string"
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}
|
||||
],
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||||
"inputAnchors": [],
|
||||
"inputs": {
|
||||
"note": "Break questions into subqueries, then retrieve corresponding context using queryengine tool.\n\nThis implementation does not contains memory, we can use OpenAI Agent to function call this flow"
|
||||
},
|
||||
"outputAnchors": [
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||||
{
|
||||
"id": "stickyNote_2-output-stickyNote-StickyNote",
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"name": "stickyNote",
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"label": "StickyNote",
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"type": "StickyNote"
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}
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],
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"outputs": {},
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},
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},
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"dragging": false
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||||
}
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||||
@@ -1128,20 +1218,60 @@
|
||||
"id": "openAIEmbedding_LlamaIndex_0-openAIEmbedding_LlamaIndex_0-output-openAIEmbedding_LlamaIndex-OpenAIEmbedding|BaseEmbedding_LlamaIndex|BaseEmbedding-pineconeLlamaIndex_1-pineconeLlamaIndex_1-input-embeddings-BaseEmbedding_LlamaIndex"
|
||||
},
|
||||
{
|
||||
"source": "pineconeLlamaIndex_1",
|
||||
"sourceHandle": "pineconeLlamaIndex_1-output-vectorStore-Pinecone|VectorStoreIndex",
|
||||
"target": "queryEngineToolLlamaIndex_0",
|
||||
"targetHandle": "queryEngineToolLlamaIndex_0-input-vectorStoreIndex-VectorStoreIndex",
|
||||
"source": "openAIEmbedding_LlamaIndex_0",
|
||||
"sourceHandle": "openAIEmbedding_LlamaIndex_0-output-openAIEmbedding_LlamaIndex-OpenAIEmbedding|BaseEmbedding_LlamaIndex|BaseEmbedding",
|
||||
"target": "pineconeLlamaIndex_0",
|
||||
"targetHandle": "pineconeLlamaIndex_0-input-embeddings-BaseEmbedding_LlamaIndex",
|
||||
"type": "buttonedge",
|
||||
"id": "pineconeLlamaIndex_1-pineconeLlamaIndex_1-output-vectorStore-Pinecone|VectorStoreIndex-queryEngineToolLlamaIndex_0-queryEngineToolLlamaIndex_0-input-vectorStoreIndex-VectorStoreIndex"
|
||||
"id": "openAIEmbedding_LlamaIndex_0-openAIEmbedding_LlamaIndex_0-output-openAIEmbedding_LlamaIndex-OpenAIEmbedding|BaseEmbedding_LlamaIndex|BaseEmbedding-pineconeLlamaIndex_0-pineconeLlamaIndex_0-input-embeddings-BaseEmbedding_LlamaIndex"
|
||||
},
|
||||
{
|
||||
"source": "chatOpenAI_LlamaIndex_0",
|
||||
"sourceHandle": "chatOpenAI_LlamaIndex_0-output-chatOpenAI_LlamaIndex-ChatOpenAI|BaseChatModel_LlamaIndex|BaseLLM",
|
||||
"target": "pineconeLlamaIndex_0",
|
||||
"targetHandle": "pineconeLlamaIndex_0-input-model-BaseChatModel_LlamaIndex",
|
||||
"type": "buttonedge",
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||||
"id": "chatOpenAI_LlamaIndex_0-chatOpenAI_LlamaIndex_0-output-chatOpenAI_LlamaIndex-ChatOpenAI|BaseChatModel_LlamaIndex|BaseLLM-pineconeLlamaIndex_0-pineconeLlamaIndex_0-input-model-BaseChatModel_LlamaIndex"
|
||||
},
|
||||
{
|
||||
"source": "pineconeLlamaIndex_1",
|
||||
"sourceHandle": "pineconeLlamaIndex_1-output-retriever-Pinecone|VectorIndexRetriever",
|
||||
"target": "queryEngine_0",
|
||||
"targetHandle": "queryEngine_0-input-vectorStoreRetriever-VectorIndexRetriever",
|
||||
"type": "buttonedge",
|
||||
"id": "pineconeLlamaIndex_1-pineconeLlamaIndex_1-output-retriever-Pinecone|VectorIndexRetriever-queryEngine_0-queryEngine_0-input-vectorStoreRetriever-VectorIndexRetriever"
|
||||
},
|
||||
{
|
||||
"source": "queryEngine_0",
|
||||
"sourceHandle": "queryEngine_0-output-queryEngine-QueryEngine|BaseQueryEngine",
|
||||
"target": "queryEngineToolLlamaIndex_2",
|
||||
"targetHandle": "queryEngineToolLlamaIndex_2-input-baseQueryEngine-BaseQueryEngine",
|
||||
"type": "buttonedge",
|
||||
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|
||||
},
|
||||
{
|
||||
"source": "pineconeLlamaIndex_0",
|
||||
"sourceHandle": "pineconeLlamaIndex_0-output-vectorStore-Pinecone|VectorStoreIndex",
|
||||
"target": "queryEngineToolLlamaIndex_1",
|
||||
"targetHandle": "queryEngineToolLlamaIndex_1-input-vectorStoreIndex-VectorStoreIndex",
|
||||
"sourceHandle": "pineconeLlamaIndex_0-output-retriever-Pinecone|VectorIndexRetriever",
|
||||
"target": "queryEngine_1",
|
||||
"targetHandle": "queryEngine_1-input-vectorStoreRetriever-VectorIndexRetriever",
|
||||
"type": "buttonedge",
|
||||
"id": "pineconeLlamaIndex_0-pineconeLlamaIndex_0-output-vectorStore-Pinecone|VectorStoreIndex-queryEngineToolLlamaIndex_1-queryEngineToolLlamaIndex_1-input-vectorStoreIndex-VectorStoreIndex"
|
||||
"id": "pineconeLlamaIndex_0-pineconeLlamaIndex_0-output-retriever-Pinecone|VectorIndexRetriever-queryEngine_1-queryEngine_1-input-vectorStoreRetriever-VectorIndexRetriever"
|
||||
},
|
||||
{
|
||||
"source": "queryEngine_1",
|
||||
"sourceHandle": "queryEngine_1-output-queryEngine-QueryEngine|BaseQueryEngine",
|
||||
"target": "queryEngineToolLlamaIndex_1",
|
||||
"targetHandle": "queryEngineToolLlamaIndex_1-input-baseQueryEngine-BaseQueryEngine",
|
||||
"type": "buttonedge",
|
||||
"id": "queryEngine_1-queryEngine_1-output-queryEngine-QueryEngine|BaseQueryEngine-queryEngineToolLlamaIndex_1-queryEngineToolLlamaIndex_1-input-baseQueryEngine-BaseQueryEngine"
|
||||
},
|
||||
{
|
||||
"source": "queryEngineToolLlamaIndex_2",
|
||||
"sourceHandle": "queryEngineToolLlamaIndex_2-output-queryEngineToolLlamaIndex-QueryEngineTool",
|
||||
"target": "subQuestionQueryEngine_0",
|
||||
"targetHandle": "subQuestionQueryEngine_0-input-queryEngineTools-QueryEngineTool",
|
||||
"type": "buttonedge",
|
||||
"id": "queryEngineToolLlamaIndex_2-queryEngineToolLlamaIndex_2-output-queryEngineToolLlamaIndex-QueryEngineTool-subQuestionQueryEngine_0-subQuestionQueryEngine_0-input-queryEngineTools-QueryEngineTool"
|
||||
},
|
||||
{
|
||||
"source": "queryEngineToolLlamaIndex_1",
|
||||
@@ -1151,14 +1281,6 @@
|
||||
"type": "buttonedge",
|
||||
"id": "queryEngineToolLlamaIndex_1-queryEngineToolLlamaIndex_1-output-queryEngineToolLlamaIndex-QueryEngineTool-subQuestionQueryEngine_0-subQuestionQueryEngine_0-input-queryEngineTools-QueryEngineTool"
|
||||
},
|
||||
{
|
||||
"source": "queryEngineToolLlamaIndex_0",
|
||||
"sourceHandle": "queryEngineToolLlamaIndex_0-output-queryEngineToolLlamaIndex-QueryEngineTool",
|
||||
"target": "subQuestionQueryEngine_0",
|
||||
"targetHandle": "subQuestionQueryEngine_0-input-queryEngineTools-QueryEngineTool",
|
||||
"type": "buttonedge",
|
||||
"id": "queryEngineToolLlamaIndex_0-queryEngineToolLlamaIndex_0-output-queryEngineToolLlamaIndex-QueryEngineTool-subQuestionQueryEngine_0-subQuestionQueryEngine_0-input-queryEngineTools-QueryEngineTool"
|
||||
},
|
||||
{
|
||||
"source": "chatOpenAI_LlamaIndex_1",
|
||||
"sourceHandle": "chatOpenAI_LlamaIndex_1-output-chatOpenAI_LlamaIndex-ChatOpenAI|BaseChatModel_LlamaIndex|BaseLLM",
|
||||
@@ -1182,22 +1304,6 @@
|
||||
"targetHandle": "subQuestionQueryEngine_0-input-responseSynthesizer-ResponseSynthesizer",
|
||||
"type": "buttonedge",
|
||||
"id": "compactrefineLlamaIndex_0-compactrefineLlamaIndex_0-output-compactrefineLlamaIndex-CompactRefine|ResponseSynthesizer-subQuestionQueryEngine_0-subQuestionQueryEngine_0-input-responseSynthesizer-ResponseSynthesizer"
|
||||
},
|
||||
{
|
||||
"source": "openAIEmbedding_LlamaIndex_0",
|
||||
"sourceHandle": "openAIEmbedding_LlamaIndex_0-output-openAIEmbedding_LlamaIndex-OpenAIEmbedding|BaseEmbedding_LlamaIndex|BaseEmbedding",
|
||||
"target": "pineconeLlamaIndex_0",
|
||||
"targetHandle": "pineconeLlamaIndex_0-input-embeddings-BaseEmbedding_LlamaIndex",
|
||||
"type": "buttonedge",
|
||||
"id": "openAIEmbedding_LlamaIndex_0-openAIEmbedding_LlamaIndex_0-output-openAIEmbedding_LlamaIndex-OpenAIEmbedding|BaseEmbedding_LlamaIndex|BaseEmbedding-pineconeLlamaIndex_0-pineconeLlamaIndex_0-input-embeddings-BaseEmbedding_LlamaIndex"
|
||||
},
|
||||
{
|
||||
"source": "chatOpenAI_LlamaIndex_0",
|
||||
"sourceHandle": "chatOpenAI_LlamaIndex_0-output-chatOpenAI_LlamaIndex-ChatOpenAI|BaseChatModel_LlamaIndex|BaseLLM",
|
||||
"target": "pineconeLlamaIndex_0",
|
||||
"targetHandle": "pineconeLlamaIndex_0-input-model-BaseChatModel_LlamaIndex",
|
||||
"type": "buttonedge",
|
||||
"id": "chatOpenAI_LlamaIndex_0-chatOpenAI_LlamaIndex_0-output-chatOpenAI_LlamaIndex-ChatOpenAI|BaseChatModel_LlamaIndex|BaseLLM-pineconeLlamaIndex_0-pineconeLlamaIndex_0-input-model-BaseChatModel_LlamaIndex"
|
||||
}
|
||||
]
|
||||
}
|
||||
|
||||
@@ -119,6 +119,10 @@
|
||||
"label": "gpt-4-1106-preview",
|
||||
"name": "gpt-4-1106-preview"
|
||||
},
|
||||
{
|
||||
"label": "gpt-4-1106-vision-preview",
|
||||
"name": "gpt-4-1106-vision-preview"
|
||||
},
|
||||
{
|
||||
"label": "gpt-4-vision-preview",
|
||||
"name": "gpt-4-vision-preview"
|
||||
@@ -139,6 +143,10 @@
|
||||
"label": "gpt-3.5-turbo",
|
||||
"name": "gpt-3.5-turbo"
|
||||
},
|
||||
{
|
||||
"label": "gpt-3.5-turbo-0125",
|
||||
"name": "gpt-3.5-turbo-0125"
|
||||
},
|
||||
{
|
||||
"label": "gpt-3.5-turbo-1106",
|
||||
"name": "gpt-3.5-turbo-1106"
|
||||
|
||||
@@ -162,6 +162,10 @@
|
||||
"label": "gpt-4-1106-preview",
|
||||
"name": "gpt-4-1106-preview"
|
||||
},
|
||||
{
|
||||
"label": "gpt-4-1106-vision-preview",
|
||||
"name": "gpt-4-1106-vision-preview"
|
||||
},
|
||||
{
|
||||
"label": "gpt-4-vision-preview",
|
||||
"name": "gpt-4-vision-preview"
|
||||
@@ -182,6 +186,10 @@
|
||||
"label": "gpt-3.5-turbo",
|
||||
"name": "gpt-3.5-turbo"
|
||||
},
|
||||
{
|
||||
"label": "gpt-3.5-turbo-0125",
|
||||
"name": "gpt-3.5-turbo-0125"
|
||||
},
|
||||
{
|
||||
"label": "gpt-3.5-turbo-1106",
|
||||
"name": "gpt-3.5-turbo-1106"
|
||||
@@ -460,6 +468,10 @@
|
||||
"label": "gpt-4-1106-preview",
|
||||
"name": "gpt-4-1106-preview"
|
||||
},
|
||||
{
|
||||
"label": "gpt-4-1106-vision-preview",
|
||||
"name": "gpt-4-1106-vision-preview"
|
||||
},
|
||||
{
|
||||
"label": "gpt-4-vision-preview",
|
||||
"name": "gpt-4-vision-preview"
|
||||
@@ -480,6 +492,10 @@
|
||||
"label": "gpt-3.5-turbo",
|
||||
"name": "gpt-3.5-turbo"
|
||||
},
|
||||
{
|
||||
"label": "gpt-3.5-turbo-0125",
|
||||
"name": "gpt-3.5-turbo-0125"
|
||||
},
|
||||
{
|
||||
"label": "gpt-3.5-turbo-1106",
|
||||
"name": "gpt-3.5-turbo-1106"
|
||||
|
||||
@@ -429,6 +429,10 @@
|
||||
"label": "gpt-4-1106-preview",
|
||||
"name": "gpt-4-1106-preview"
|
||||
},
|
||||
{
|
||||
"label": "gpt-4-1106-vision-preview",
|
||||
"name": "gpt-4-1106-vision-preview"
|
||||
},
|
||||
{
|
||||
"label": "gpt-4-vision-preview",
|
||||
"name": "gpt-4-vision-preview"
|
||||
@@ -449,6 +453,10 @@
|
||||
"label": "gpt-3.5-turbo",
|
||||
"name": "gpt-3.5-turbo"
|
||||
},
|
||||
{
|
||||
"label": "gpt-3.5-turbo-0125",
|
||||
"name": "gpt-3.5-turbo-0125"
|
||||
},
|
||||
{
|
||||
"label": "gpt-3.5-turbo-1106",
|
||||
"name": "gpt-3.5-turbo-1106"
|
||||
|
||||
@@ -131,6 +131,9 @@ export default class Start extends Command {
|
||||
// Telemetry
|
||||
if (flags.DISABLE_FLOWISE_TELEMETRY) process.env.DISABLE_FLOWISE_TELEMETRY = flags.DISABLE_FLOWISE_TELEMETRY
|
||||
|
||||
// Disable langchain warnings
|
||||
process.env.LANGCHAIN_SUPPRESS_MIGRATION_WARNINGS = 'true'
|
||||
|
||||
await (async () => {
|
||||
try {
|
||||
logger.info('Starting Flowise...')
|
||||
|
||||
@@ -10,7 +10,7 @@ import logger from './utils/logger'
|
||||
import { expressRequestLogger } from './utils/logger'
|
||||
import { v4 as uuidv4 } from 'uuid'
|
||||
import OpenAI from 'openai'
|
||||
import { Between, IsNull, FindOptionsWhere } from 'typeorm'
|
||||
import { FindOptionsWhere, MoreThanOrEqual, LessThanOrEqual } from 'typeorm'
|
||||
import {
|
||||
IChatFlow,
|
||||
IncomingInput,
|
||||
@@ -1598,20 +1598,30 @@ export class App {
|
||||
endDate?: string,
|
||||
messageId?: string
|
||||
): Promise<ChatMessage[]> {
|
||||
const setDateToStartOrEndOfDay = (dateTimeStr: string, setHours: 'start' | 'end') => {
|
||||
const date = new Date(dateTimeStr)
|
||||
if (isNaN(date.getTime())) {
|
||||
return undefined
|
||||
}
|
||||
setHours === 'start' ? date.setHours(0, 0, 0, 0) : date.setHours(23, 59, 59, 999)
|
||||
return date
|
||||
}
|
||||
|
||||
let fromDate
|
||||
if (startDate) fromDate = new Date(startDate)
|
||||
if (startDate) fromDate = setDateToStartOrEndOfDay(startDate, 'start')
|
||||
|
||||
let toDate
|
||||
if (endDate) toDate = new Date(endDate)
|
||||
if (endDate) toDate = setDateToStartOrEndOfDay(endDate, 'end')
|
||||
|
||||
return await this.AppDataSource.getRepository(ChatMessage).find({
|
||||
where: {
|
||||
chatflowid,
|
||||
chatType,
|
||||
chatId,
|
||||
memoryType: memoryType ?? (chatId ? IsNull() : undefined),
|
||||
memoryType: memoryType ?? undefined,
|
||||
sessionId: sessionId ?? undefined,
|
||||
createdDate: toDate && fromDate ? Between(fromDate, toDate) : undefined,
|
||||
...(fromDate && { createdDate: MoreThanOrEqual(fromDate) }),
|
||||
...(toDate && { createdDate: LessThanOrEqual(toDate) }),
|
||||
id: messageId ?? undefined
|
||||
},
|
||||
order: {
|
||||
|
||||
Reference in New Issue
Block a user