add debug

packages/components/.env.example

@@ -0,0 +1 @@
+DEBUG=true

packages/components/README.md

@@ -12,6 +12,14 @@ Install:
 npm i flowise-components
 ```
 
+## Debug
+
+To view all the logs, create an `.env` file and add:
+
+```
+DEBUG=true
+```
+
 ## License
 
 Source code in this repository is made available under the [MIT License](https://github.com/FlowiseAI/Flowise/blob/master/LICENSE.md).

packages/components/nodes/agents/ConversationalAgent/ConversationalAgent.ts

@@ -70,7 +70,7 @@ class ConversationalAgent_Agents implements INode {
 
         const obj: InitializeAgentExecutorOptions = {
             agentType: 'chat-conversational-react-description',
-            verbose: true
+            verbose: process.env.DEBUG === 'true' ? true : false
         }
 
         const agentArgs: any = {}

packages/components/nodes/agents/MRKLAgentChat/MRKLAgentChat.ts

@@ -43,7 +43,7 @@ class MRKLAgentChat_Agents implements INode {
         tools = tools.flat()
         const executor = await initializeAgentExecutorWithOptions(tools, model, {
             agentType: 'chat-zero-shot-react-description',
-            verbose: true
+            verbose: process.env.DEBUG === 'true' ? true : false
         })
         return executor
     }

packages/components/nodes/agents/MRKLAgentLLM/MRKLAgentLLM.ts

@@ -44,7 +44,7 @@ class MRKLAgentLLM_Agents implements INode {
 
         const executor = await initializeAgentExecutorWithOptions(tools, model, {
             agentType: 'zero-shot-react-description',
-            verbose: true
+            verbose: process.env.DEBUG === 'true' ? true : false
         })
         return executor
     }

packages/components/nodes/chains/ConversationalRetrievalQAChain/ConversationalRetrievalQAChain.ts

@@ -40,7 +40,9 @@ class ConversationalRetrievalQAChain_Chains implements INode {
         const model = nodeData.inputs?.model as BaseLanguageModel
         const vectorStoreRetriever = nodeData.inputs?.vectorStoreRetriever as BaseRetriever
 
-        const chain = ConversationalRetrievalQAChain.fromLLM(model, vectorStoreRetriever)
+        const chain = ConversationalRetrievalQAChain.fromLLM(model, vectorStoreRetriever, {
+            verbose: process.env.DEBUG === 'true' ? true : false
+        })
         return chain
     }
 

packages/components/nodes/chains/LLMChain/LLMChain.ts

@@ -62,10 +62,10 @@ class LLMChain_Chains implements INode {
         const promptValues = prompt.promptValues as ICommonObject
 
         if (output === this.name) {
-            const chain = new LLMChain({ llm: model, prompt })
+            const chain = new LLMChain({ llm: model, prompt, verbose: process.env.DEBUG === 'true' ? true : false })
             return chain
         } else if (output === 'outputPrediction') {
-            const chain = new LLMChain({ llm: model, prompt })
+            const chain = new LLMChain({ llm: model, prompt, verbose: process.env.DEBUG === 'true' ? true : false })
             const inputVariables = chain.prompt.inputVariables as string[] // ["product"]
             const res = await runPrediction(inputVariables, chain, input, promptValues)
             // eslint-disable-next-line no-console

packages/components/nodes/chains/RetrievalQAChain/RetrievalQAChain.ts

@@ -40,7 +40,7 @@ class RetrievalQAChain_Chains implements INode {
         const model = nodeData.inputs?.model as BaseLanguageModel
         const vectorStoreRetriever = nodeData.inputs?.vectorStoreRetriever as BaseRetriever
 
-        const chain = RetrievalQAChain.fromLLM(model, vectorStoreRetriever)
+        const chain = RetrievalQAChain.fromLLM(model, vectorStoreRetriever, { verbose: process.env.DEBUG === 'true' ? true : false })
         return chain
     }
 

packages/components/nodes/chains/SqlDatabaseChain/SqlDatabaseChain.ts

@@ -82,7 +82,8 @@ const getSQLDBChain = async (databaseType: 'sqlite', dbFilePath: string, llm: Ba
 
     const obj: SqlDatabaseChainInput = {
         llm,
-        database: db
+        database: db,
+        verbose: process.env.DEBUG === 'true' ? true : false
     }
 
     const chain = new SqlDatabaseChain(obj)

packages/components/nodes/chains/VectorDBQAChain/VectorDBQAChain.ts

@@ -40,7 +40,7 @@ class VectorDBQAChain_Chains implements INode {
         const model = nodeData.inputs?.model as BaseLanguageModel
         const vectorStore = nodeData.inputs?.vectorStore as VectorStore
 
-        const chain = VectorDBQAChain.fromLLM(model, vectorStore)
+        const chain = VectorDBQAChain.fromLLM(model, vectorStore, { verbose: process.env.DEBUG === 'true' ? true : false })
         return chain
     }
 

packages/components/package.json

@@ -29,7 +29,7 @@
         "express": "^4.17.3",
         "form-data": "^4.0.0",
         "graphql": "^16.6.0",
-        "langchain": "^0.0.73",
+        "langchain": "^0.0.78",
         "linkifyjs": "^4.1.1",
         "mammoth": "^1.5.1",
         "moment": "^2.29.3",

packages/components/src/index.ts

@@ -1,2 +1,8 @@
+import dotenv from 'dotenv'
+import path from 'path'
+
+const envPath = path.join(__dirname, '..', '..', '.env')
+dotenv.config({ path: envPath })
+
 export * from './Interface'
 export * from './utils'