Merge branch 'main' into feature/Credential

# Conflicts:
#	packages/components/src/utils.ts
#	packages/server/src/ChildProcess.ts
This commit is contained in:
Henry
2023-07-15 14:30:50 +01:00
34 changed files with 509 additions and 209 deletions
+23 -1
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@@ -126,6 +126,28 @@ FLOWISE_USERNAME=user
FLOWISE_PASSWORD=1234
```
## 🌱 Env Variables
Flowise support different environment variables to configure your instance. You can specify the following variables in the `.env` file inside `packages/server` folder.
| Variable | Description | Type | Default |
| ---------------- | ---------------------------------------------------------------- | ------------------------------------------------ | ----------------------------------- |
| PORT | The HTTP port Flowise runs on | Number | 3000 |
| FLOWISE_USERNAME | Username to login | String |
| FLOWISE_PASSWORD | Password to login | String |
| DEBUG | Print logs from components | Boolean |
| LOG_PATH | Location where log files are stored | String | `your-path/Flowise/logs` |
| LOG_LEVEL | Different levels of logs | Enum String: `error`, `info`, `verbose`, `debug` | `info` |
| DATABASE_PATH | Location where database is saved | String | `your-home-dir/.flowise` |
| APIKEY_PATH | Location where api keys are saved | String | `your-path/Flowise/packages/server` |
| EXECUTION_MODE | Whether predictions run in their own process or the main process | Enum String: `child`, `main` | `main` |
You can also specify the env variables when using `npx`. For example:
```
npx flowise start --PORT=3000 --DEBUG=true
```
## 📖 Documentation
[Flowise Docs](https://docs.flowiseai.com/)
@@ -134,7 +156,7 @@ FLOWISE_PASSWORD=1234
### [Railway](https://docs.flowiseai.com/deployment/railway)
[![Deploy on Railway](https://railway.app/button.svg)](https://railway.app/template/YK7J0v)
[![Deploy on Railway](https://railway.app/button.svg)](https://railway.app/template/pn4G8S?referralCode=WVNPD9)
### [Render](https://docs.flowiseai.com/deployment/render)
+1 -1
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@@ -1,6 +1,6 @@
{
"name": "flowise",
"version": "1.2.14",
"version": "1.2.15",
"private": true,
"homepage": "https://flowiseai.com",
"workspaces": [
@@ -90,7 +90,6 @@ class AutoGPT_Agents implements INode {
const res = await executor.run([input])
return res || 'I have completed all my tasks.'
} catch (e) {
console.error(e)
throw new Error(e)
}
}
@@ -1,10 +1,11 @@
import { ICommonObject, IMessage, INode, INodeData, INodeParams } from '../../../src/Interface'
import { initializeAgentExecutorWithOptions, AgentExecutor } from 'langchain/agents'
import { CustomChainHandler, getBaseClasses } from '../../../src/utils'
import { getBaseClasses } from '../../../src/utils'
import { BaseLanguageModel } from 'langchain/base_language'
import { flatten } from 'lodash'
import { BaseChatMemory, ChatMessageHistory } from 'langchain/memory'
import { AIMessage, HumanMessage } from 'langchain/schema'
import { ConsoleCallbackHandler, CustomChainHandler } from '../../../src/handler'
class OpenAIFunctionAgent_Agents implements INode {
label: string
@@ -93,12 +94,14 @@ class OpenAIFunctionAgent_Agents implements INode {
executor.memory = memory
}
const loggerHandler = new ConsoleCallbackHandler(options.logger)
if (options.socketIO && options.socketIOClientId) {
const handler = new CustomChainHandler(options.socketIO, options.socketIOClientId)
const result = await executor.run(input, [handler])
const result = await executor.run(input, [loggerHandler, handler])
return result
} else {
const result = await executor.run(input)
const result = await executor.run(input, [loggerHandler])
return result
}
}
@@ -1,8 +1,9 @@
import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
import { APIChain } from 'langchain/chains'
import { CustomChainHandler, getBaseClasses } from '../../../src/utils'
import { getBaseClasses } from '../../../src/utils'
import { BaseLanguageModel } from 'langchain/base_language'
import { PromptTemplate } from 'langchain/prompts'
import { ConsoleCallbackHandler, CustomChainHandler } from '../../../src/handler'
export const API_URL_RAW_PROMPT_TEMPLATE = `You are given the below API Documentation:
{api_docs}
@@ -95,12 +96,14 @@ class GETApiChain_Chains implements INode {
const ansPrompt = nodeData.inputs?.ansPrompt as string
const chain = await getAPIChain(apiDocs, model, headers, urlPrompt, ansPrompt)
const loggerHandler = new ConsoleCallbackHandler(options.logger)
if (options.socketIO && options.socketIOClientId) {
const handler = new CustomChainHandler(options.socketIO, options.socketIOClientId, 2)
const res = await chain.run(input, [handler])
const res = await chain.run(input, [loggerHandler, handler])
return res
} else {
const res = await chain.run(input)
const res = await chain.run(input, [loggerHandler])
return res
}
}
@@ -1,7 +1,8 @@
import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
import { APIChain, createOpenAPIChain } from 'langchain/chains'
import { CustomChainHandler, getBaseClasses } from '../../../src/utils'
import { getBaseClasses } from '../../../src/utils'
import { ChatOpenAI } from 'langchain/chat_models/openai'
import { ConsoleCallbackHandler, CustomChainHandler } from '../../../src/handler'
class OpenApiChain_Chains implements INode {
label: string
@@ -57,12 +58,14 @@ class OpenApiChain_Chains implements INode {
async run(nodeData: INodeData, input: string, options: ICommonObject): Promise<string> {
const chain = await initChain(nodeData)
const loggerHandler = new ConsoleCallbackHandler(options.logger)
if (options.socketIO && options.socketIOClientId) {
const handler = new CustomChainHandler(options.socketIO, options.socketIOClientId)
const res = await chain.run(input, [handler])
const res = await chain.run(input, [loggerHandler, handler])
return res
} else {
const res = await chain.run(input)
const res = await chain.run(input, [loggerHandler])
return res
}
}
@@ -1,8 +1,9 @@
import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
import { CustomChainHandler, getBaseClasses } from '../../../src/utils'
import { getBaseClasses } from '../../../src/utils'
import { BaseLanguageModel } from 'langchain/base_language'
import { PromptTemplate } from 'langchain/prompts'
import { API_RESPONSE_RAW_PROMPT_TEMPLATE, API_URL_RAW_PROMPT_TEMPLATE, APIChain } from './postCore'
import { ConsoleCallbackHandler, CustomChainHandler } from '../../../src/handler'
class POSTApiChain_Chains implements INode {
label: string
@@ -84,12 +85,14 @@ class POSTApiChain_Chains implements INode {
const ansPrompt = nodeData.inputs?.ansPrompt as string
const chain = await getAPIChain(apiDocs, model, headers, urlPrompt, ansPrompt)
const loggerHandler = new ConsoleCallbackHandler(options.logger)
if (options.socketIO && options.socketIOClientId) {
const handler = new CustomChainHandler(options.socketIO, options.socketIOClientId, 2)
const res = await chain.run(input, [handler])
const res = await chain.run(input, [loggerHandler, handler])
return res
} else {
const res = await chain.run(input)
const res = await chain.run(input, [loggerHandler])
return res
}
}
@@ -1,12 +1,15 @@
import { ICommonObject, IMessage, INode, INodeData, INodeParams } from '../../../src/Interface'
import { ConversationChain } from 'langchain/chains'
import { CustomChainHandler, getBaseClasses } from '../../../src/utils'
import { getBaseClasses } from '../../../src/utils'
import { ChatPromptTemplate, HumanMessagePromptTemplate, MessagesPlaceholder, SystemMessagePromptTemplate } from 'langchain/prompts'
import { BufferMemory, ChatMessageHistory } from 'langchain/memory'
import { BaseChatModel } from 'langchain/chat_models/base'
import { AIMessage, HumanMessage } from 'langchain/schema'
import { ConsoleCallbackHandler, CustomChainHandler } from '../../../src/handler'
import { flatten } from 'lodash'
import { Document } from 'langchain/document'
const systemMessage = `The following is a friendly conversation between a human and an AI. The AI is talkative and provides lots of specific details from its context. If the AI does not know the answer to a question, it truthfully says it does not know.`
let systemMessage = `The following is a friendly conversation between a human and an AI. The AI is talkative and provides lots of specific details from its context. If the AI does not know the answer to a question, it truthfully says it does not know.`
class ConversationChain_Chains implements INode {
label: string
@@ -37,6 +40,14 @@ class ConversationChain_Chains implements INode {
name: 'memory',
type: 'BaseMemory'
},
{
label: 'Document',
name: 'document',
type: 'Document',
description: 'Include whole document into the context window',
optional: true,
list: true
},
{
label: 'System Message',
name: 'systemMessagePrompt',
@@ -53,6 +64,20 @@ class ConversationChain_Chains implements INode {
const model = nodeData.inputs?.model as BaseChatModel
const memory = nodeData.inputs?.memory as BufferMemory
const prompt = nodeData.inputs?.systemMessagePrompt as string
const docs = nodeData.inputs?.document as Document[]
const flattenDocs = docs && docs.length ? flatten(docs) : []
const finalDocs = []
for (let i = 0; i < flattenDocs.length; i += 1) {
finalDocs.push(new Document(flattenDocs[i]))
}
let finalText = ''
for (let i = 0; i < finalDocs.length; i += 1) {
finalText += finalDocs[i].pageContent
}
if (finalText) systemMessage = `${systemMessage}\nThe AI has the following context:\n${finalText}`
const obj: any = {
llm: model,
@@ -90,12 +115,14 @@ class ConversationChain_Chains implements INode {
chain.memory = memory
}
const loggerHandler = new ConsoleCallbackHandler(options.logger)
if (options.socketIO && options.socketIOClientId) {
const handler = new CustomChainHandler(options.socketIO, options.socketIOClientId)
const res = await chain.call({ input }, [handler])
const res = await chain.call({ input }, [loggerHandler, handler])
return res?.response
} else {
const res = await chain.call({ input })
const res = await chain.call({ input }, [loggerHandler])
return res?.response
}
}
@@ -1,10 +1,11 @@
import { BaseLanguageModel } from 'langchain/base_language'
import { ICommonObject, IMessage, INode, INodeData, INodeParams } from '../../../src/Interface'
import { CustomChainHandler, getBaseClasses } from '../../../src/utils'
import { getBaseClasses } from '../../../src/utils'
import { ConversationalRetrievalQAChain } from 'langchain/chains'
import { AIMessage, BaseRetriever, HumanMessage } from 'langchain/schema'
import { BaseChatMemory, BufferMemory, ChatMessageHistory } from 'langchain/memory'
import { PromptTemplate } from 'langchain/prompts'
import { ConsoleCallbackHandler, CustomChainHandler } from '../../../src/handler'
const default_qa_template = `Use the following pieces of context to answer the question at the end, in its original language. If you don't know the answer, just say that you don't know in its original language, don't try to make up an answer.
@@ -175,13 +176,15 @@ class ConversationalRetrievalQAChain_Chains implements INode {
chain.memory = memory
}
const loggerHandler = new ConsoleCallbackHandler(options.logger)
if (options.socketIO && options.socketIOClientId) {
const handler = new CustomChainHandler(options.socketIO, options.socketIOClientId, undefined, returnSourceDocuments)
const res = await chain.call(obj, [handler])
const res = await chain.call(obj, [loggerHandler, handler])
if (res.text && res.sourceDocuments) return res
return res?.text
} else {
const res = await chain.call(obj)
const res = await chain.call(obj, [loggerHandler])
if (res.text && res.sourceDocuments) return res
return res?.text
}
@@ -1,7 +1,8 @@
import { ICommonObject, INode, INodeData, INodeOutputsValue, INodeParams } from '../../../src/Interface'
import { CustomChainHandler, getBaseClasses } from '../../../src/utils'
import { getBaseClasses } from '../../../src/utils'
import { LLMChain } from 'langchain/chains'
import { BaseLanguageModel } from 'langchain/base_language'
import { ConsoleCallbackHandler, CustomChainHandler } from '../../../src/handler'
class LLMChain_Chains implements INode {
label: string
@@ -55,7 +56,7 @@ class LLMChain_Chains implements INode {
]
}
async init(nodeData: INodeData, input: string): Promise<any> {
async init(nodeData: INodeData, input: string, options: ICommonObject): Promise<any> {
const model = nodeData.inputs?.model as BaseLanguageModel
const prompt = nodeData.inputs?.prompt
const output = nodeData.outputs?.output as string
@@ -67,7 +68,7 @@ class LLMChain_Chains implements INode {
} else if (output === 'outputPrediction') {
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)
const res = await runPrediction(inputVariables, chain, input, promptValues, options)
// eslint-disable-next-line no-console
console.log('\x1b[92m\x1b[1m\n*****OUTPUT PREDICTION*****\n\x1b[0m\x1b[0m')
// eslint-disable-next-line no-console
@@ -81,9 +82,7 @@ class LLMChain_Chains implements INode {
const chain = nodeData.instance as LLMChain
const promptValues = nodeData.inputs?.prompt.promptValues as ICommonObject
const res = options.socketIO
? await runPrediction(inputVariables, chain, input, promptValues, true, options.socketIO, options.socketIOClientId)
: await runPrediction(inputVariables, chain, input, promptValues)
const res = await runPrediction(inputVariables, chain, input, promptValues, options)
// eslint-disable-next-line no-console
console.log('\x1b[93m\x1b[1m\n*****FINAL RESULT*****\n\x1b[0m\x1b[0m')
// eslint-disable-next-line no-console
@@ -97,17 +96,20 @@ const runPrediction = async (
chain: LLMChain,
input: string,
promptValues: ICommonObject,
isStreaming?: boolean,
socketIO?: any,
socketIOClientId = ''
options: ICommonObject
) => {
const loggerHandler = new ConsoleCallbackHandler(options.logger)
const isStreaming = options.socketIO && options.socketIOClientId
const socketIO = isStreaming ? options.socketIO : undefined
const socketIOClientId = isStreaming ? options.socketIOClientId : ''
if (inputVariables.length === 1) {
if (isStreaming) {
const handler = new CustomChainHandler(socketIO, socketIOClientId)
const res = await chain.run(input, [handler])
const res = await chain.run(input, [loggerHandler, handler])
return res
} else {
const res = await chain.run(input)
const res = await chain.run(input, [loggerHandler])
return res
}
} else if (inputVariables.length > 1) {
@@ -122,15 +124,13 @@ const runPrediction = async (
if (seen.length === 0) {
// All inputVariables have fixed values specified
const options = {
...promptValues
}
const options = { ...promptValues }
if (isStreaming) {
const handler = new CustomChainHandler(socketIO, socketIOClientId)
const res = await chain.call(options, [handler])
const res = await chain.call(options, [loggerHandler, handler])
return res?.text
} else {
const res = await chain.call(options)
const res = await chain.call(options, [loggerHandler])
return res?.text
}
} else if (seen.length === 1) {
@@ -143,10 +143,10 @@ const runPrediction = async (
}
if (isStreaming) {
const handler = new CustomChainHandler(socketIO, socketIOClientId)
const res = await chain.call(options, [handler])
const res = await chain.call(options, [loggerHandler, handler])
return res?.text
} else {
const res = await chain.call(options)
const res = await chain.call(options, [loggerHandler])
return res?.text
}
} else {
@@ -155,10 +155,10 @@ const runPrediction = async (
} else {
if (isStreaming) {
const handler = new CustomChainHandler(socketIO, socketIOClientId)
const res = await chain.run(input, [handler])
const res = await chain.run(input, [loggerHandler, handler])
return res
} else {
const res = await chain.run(input)
const res = await chain.run(input, [loggerHandler])
return res
}
}
@@ -1,7 +1,8 @@
import { BaseLanguageModel } from 'langchain/base_language'
import { ICommonObject, INode, INodeData, INodeParams, PromptRetriever } from '../../../src/Interface'
import { CustomChainHandler, getBaseClasses } from '../../../src/utils'
import { getBaseClasses } from '../../../src/utils'
import { MultiPromptChain } from 'langchain/chains'
import { ConsoleCallbackHandler, CustomChainHandler } from '../../../src/handler'
class MultiPromptChain_Chains implements INode {
label: string
@@ -63,12 +64,14 @@ class MultiPromptChain_Chains implements INode {
const chain = nodeData.instance as MultiPromptChain
const obj = { input }
const loggerHandler = new ConsoleCallbackHandler(options.logger)
if (options.socketIO && options.socketIOClientId) {
const handler = new CustomChainHandler(options.socketIO, options.socketIOClientId, 2)
const res = await chain.call(obj, [handler])
const res = await chain.call(obj, [loggerHandler, handler])
return res?.text
} else {
const res = await chain.call(obj)
const res = await chain.call(obj, [loggerHandler])
return res?.text
}
}
@@ -1,7 +1,8 @@
import { BaseLanguageModel } from 'langchain/base_language'
import { ICommonObject, INode, INodeData, INodeParams, VectorStoreRetriever } from '../../../src/Interface'
import { CustomChainHandler, getBaseClasses } from '../../../src/utils'
import { getBaseClasses } from '../../../src/utils'
import { MultiRetrievalQAChain } from 'langchain/chains'
import { ConsoleCallbackHandler, CustomChainHandler } from '../../../src/handler'
class MultiRetrievalQAChain_Chains implements INode {
label: string
@@ -71,14 +72,15 @@ class MultiRetrievalQAChain_Chains implements INode {
const returnSourceDocuments = nodeData.inputs?.returnSourceDocuments as boolean
const obj = { input }
const loggerHandler = new ConsoleCallbackHandler(options.logger)
if (options.socketIO && options.socketIOClientId) {
const handler = new CustomChainHandler(options.socketIO, options.socketIOClientId, 2, returnSourceDocuments)
const res = await chain.call(obj, [handler])
const res = await chain.call(obj, [loggerHandler, handler])
if (res.text && res.sourceDocuments) return res
return res?.text
} else {
const res = await chain.call(obj)
const res = await chain.call(obj, [loggerHandler])
if (res.text && res.sourceDocuments) return res
return res?.text
}
@@ -1,8 +1,9 @@
import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
import { RetrievalQAChain } from 'langchain/chains'
import { BaseRetriever } from 'langchain/schema'
import { CustomChainHandler, getBaseClasses } from '../../../src/utils'
import { getBaseClasses } from '../../../src/utils'
import { BaseLanguageModel } from 'langchain/base_language'
import { ConsoleCallbackHandler, CustomChainHandler } from '../../../src/handler'
class RetrievalQAChain_Chains implements INode {
label: string
@@ -49,13 +50,14 @@ class RetrievalQAChain_Chains implements INode {
const obj = {
query: input
}
const loggerHandler = new ConsoleCallbackHandler(options.logger)
if (options.socketIO && options.socketIOClientId) {
const handler = new CustomChainHandler(options.socketIO, options.socketIOClientId)
const res = await chain.call(obj, [handler])
const res = await chain.call(obj, [loggerHandler, handler])
return res?.text
} else {
const res = await chain.call(obj)
const res = await chain.call(obj, [loggerHandler])
return res?.text
}
}
@@ -1,9 +1,10 @@
import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
import { SqlDatabaseChain, SqlDatabaseChainInput } from 'langchain/chains/sql_db'
import { CustomChainHandler, getBaseClasses } from '../../../src/utils'
import { getBaseClasses } from '../../../src/utils'
import { DataSource } from 'typeorm'
import { SqlDatabase } from 'langchain/sql_db'
import { BaseLanguageModel } from 'langchain/base_language'
import { ConsoleCallbackHandler, CustomChainHandler } from '../../../src/handler'
class SqlDatabaseChain_Chains implements INode {
label: string
@@ -65,12 +66,14 @@ class SqlDatabaseChain_Chains implements INode {
const dbFilePath = nodeData.inputs?.dbFilePath
const chain = await getSQLDBChain(databaseType, dbFilePath, model)
const loggerHandler = new ConsoleCallbackHandler(options.logger)
if (options.socketIO && options.socketIOClientId) {
const handler = new CustomChainHandler(options.socketIO, options.socketIOClientId, 2)
const res = await chain.run(input, [handler])
const res = await chain.run(input, [loggerHandler, handler])
return res
} else {
const res = await chain.run(input)
const res = await chain.run(input, [loggerHandler])
return res
}
}
@@ -1,8 +1,9 @@
import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
import { CustomChainHandler, getBaseClasses } from '../../../src/utils'
import { getBaseClasses } from '../../../src/utils'
import { VectorDBQAChain } from 'langchain/chains'
import { BaseLanguageModel } from 'langchain/base_language'
import { VectorStore } from 'langchain/vectorstores'
import { ConsoleCallbackHandler, CustomChainHandler } from '../../../src/handler'
class VectorDBQAChain_Chains implements INode {
label: string
@@ -53,12 +54,14 @@ class VectorDBQAChain_Chains implements INode {
query: input
}
const loggerHandler = new ConsoleCallbackHandler(options.logger)
if (options.socketIO && options.socketIOClientId) {
const handler = new CustomChainHandler(options.socketIO, options.socketIOClientId)
const res = await chain.call(obj, [handler])
const res = await chain.call(obj, [loggerHandler, handler])
return res?.text
} else {
const res = await chain.call(obj)
const res = await chain.call(obj, [loggerHandler])
return res?.text
}
}
@@ -33,6 +33,16 @@ class ChatAnthropic_ChatModels implements INode {
name: 'modelName',
type: 'options',
options: [
{
label: 'claude-2',
name: 'claude-2',
description: 'Claude 2 latest major version, automatically get updates to the model as they are released'
},
{
label: 'claude-instant-1',
name: 'claude-instant-1',
description: 'Claude Instant latest major version, automatically get updates to the model as they are released'
},
{
label: 'claude-v1',
name: 'claude-v1'
+1 -1
View File
@@ -1,6 +1,6 @@
{
"name": "flowise-components",
"version": "1.2.15",
"version": "1.2.16",
"description": "Flowiseai Components",
"main": "dist/src/index",
"types": "dist/src/index.d.ts",
+180
View File
@@ -0,0 +1,180 @@
import { BaseTracer, Run, BaseCallbackHandler } from 'langchain/callbacks'
import { AgentAction, ChainValues } from 'langchain/schema'
import { Logger } from 'winston'
import { Server } from 'socket.io'
interface AgentRun extends Run {
actions: AgentAction[]
}
function tryJsonStringify(obj: unknown, fallback: string) {
try {
return JSON.stringify(obj, null, 2)
} catch (err) {
return fallback
}
}
function elapsed(run: Run): string {
if (!run.end_time) return ''
const elapsed = run.end_time - run.start_time
if (elapsed < 1000) {
return `${elapsed}ms`
}
return `${(elapsed / 1000).toFixed(2)}s`
}
export class ConsoleCallbackHandler extends BaseTracer {
name = 'console_callback_handler' as const
logger: Logger
protected persistRun(_run: Run) {
return Promise.resolve()
}
constructor(logger: Logger) {
super()
this.logger = logger
}
// utility methods
getParents(run: Run) {
const parents: Run[] = []
let currentRun = run
while (currentRun.parent_run_id) {
const parent = this.runMap.get(currentRun.parent_run_id)
if (parent) {
parents.push(parent)
currentRun = parent
} else {
break
}
}
return parents
}
getBreadcrumbs(run: Run) {
const parents = this.getParents(run).reverse()
const string = [...parents, run]
.map((parent) => {
const name = `${parent.execution_order}:${parent.run_type}:${parent.name}`
return name
})
.join(' > ')
return string
}
// logging methods
onChainStart(run: Run) {
const crumbs = this.getBreadcrumbs(run)
this.logger.verbose(`[chain/start] [${crumbs}] Entering Chain run with input: ${tryJsonStringify(run.inputs, '[inputs]')}`)
}
onChainEnd(run: Run) {
const crumbs = this.getBreadcrumbs(run)
this.logger.verbose(
`[chain/end] [${crumbs}] [${elapsed(run)}] Exiting Chain run with output: ${tryJsonStringify(run.outputs, '[outputs]')}`
)
}
onChainError(run: Run) {
const crumbs = this.getBreadcrumbs(run)
this.logger.verbose(
`[chain/error] [${crumbs}] [${elapsed(run)}] Chain run errored with error: ${tryJsonStringify(run.error, '[error]')}`
)
}
onLLMStart(run: Run) {
const crumbs = this.getBreadcrumbs(run)
const inputs = 'prompts' in run.inputs ? { prompts: (run.inputs.prompts as string[]).map((p) => p.trim()) } : run.inputs
this.logger.verbose(`[llm/start] [${crumbs}] Entering LLM run with input: ${tryJsonStringify(inputs, '[inputs]')}`)
}
onLLMEnd(run: Run) {
const crumbs = this.getBreadcrumbs(run)
this.logger.verbose(
`[llm/end] [${crumbs}] [${elapsed(run)}] Exiting LLM run with output: ${tryJsonStringify(run.outputs, '[response]')}`
)
}
onLLMError(run: Run) {
const crumbs = this.getBreadcrumbs(run)
this.logger.verbose(
`[llm/error] [${crumbs}] [${elapsed(run)}] LLM run errored with error: ${tryJsonStringify(run.error, '[error]')}`
)
}
onToolStart(run: Run) {
const crumbs = this.getBreadcrumbs(run)
this.logger.verbose(`[tool/start] [${crumbs}] Entering Tool run with input: "${run.inputs.input?.trim()}"`)
}
onToolEnd(run: Run) {
const crumbs = this.getBreadcrumbs(run)
this.logger.verbose(`[tool/end] [${crumbs}] [${elapsed(run)}] Exiting Tool run with output: "${run.outputs?.output?.trim()}"`)
}
onToolError(run: Run) {
const crumbs = this.getBreadcrumbs(run)
this.logger.verbose(
`[tool/error] [${crumbs}] [${elapsed(run)}] Tool run errored with error: ${tryJsonStringify(run.error, '[error]')}`
)
}
onAgentAction(run: Run) {
const agentRun = run as AgentRun
const crumbs = this.getBreadcrumbs(run)
this.logger.verbose(
`[agent/action] [${crumbs}] Agent selected action: ${tryJsonStringify(
agentRun.actions[agentRun.actions.length - 1],
'[action]'
)}`
)
}
}
/**
* Custom chain handler class
*/
export class CustomChainHandler extends BaseCallbackHandler {
name = 'custom_chain_handler'
isLLMStarted = false
socketIO: Server
socketIOClientId = ''
skipK = 0 // Skip streaming for first K numbers of handleLLMStart
returnSourceDocuments = false
constructor(socketIO: Server, socketIOClientId: string, skipK?: number, returnSourceDocuments?: boolean) {
super()
this.socketIO = socketIO
this.socketIOClientId = socketIOClientId
this.skipK = skipK ?? this.skipK
this.returnSourceDocuments = returnSourceDocuments ?? this.returnSourceDocuments
}
handleLLMStart() {
if (this.skipK > 0) this.skipK -= 1
}
handleLLMNewToken(token: string) {
if (this.skipK === 0) {
if (!this.isLLMStarted) {
this.isLLMStarted = true
this.socketIO.to(this.socketIOClientId).emit('start', token)
}
this.socketIO.to(this.socketIOClientId).emit('token', token)
}
}
handleLLMEnd() {
this.socketIO.to(this.socketIOClientId).emit('end')
}
handleChainEnd(outputs: ChainValues): void | Promise<void> {
if (this.returnSourceDocuments) {
this.socketIO.to(this.socketIOClientId).emit('sourceDocuments', outputs?.sourceDocuments)
}
}
}
+2 -46
View File
@@ -3,9 +3,6 @@ import { load } from 'cheerio'
import * as fs from 'fs'
import * as path from 'path'
import { JSDOM } from 'jsdom'
import { BaseCallbackHandler } from 'langchain/callbacks'
import { Server } from 'socket.io'
import { ChainValues } from 'langchain/dist/schema'
import { DataSource } from 'typeorm'
import { ICommonObject, IDatabaseEntity, INodeData } from './Interface'
import { AES, enc } from 'crypto-js'
@@ -436,50 +433,9 @@ export const getCredentialParam = (paramName: string, credentialData: ICommonObj
return (nodeData.inputs as ICommonObject)[paramName] ?? credentialData[paramName]
}
/**
* Custom chain handler class
/*
* List of dependencies allowed to be import in vm2
*/
export class CustomChainHandler extends BaseCallbackHandler {
name = 'custom_chain_handler'
isLLMStarted = false
socketIO: Server
socketIOClientId = ''
skipK = 0 // Skip streaming for first K numbers of handleLLMStart
returnSourceDocuments = false
constructor(socketIO: Server, socketIOClientId: string, skipK?: number, returnSourceDocuments?: boolean) {
super()
this.socketIO = socketIO
this.socketIOClientId = socketIOClientId
this.skipK = skipK ?? this.skipK
this.returnSourceDocuments = returnSourceDocuments ?? this.returnSourceDocuments
}
handleLLMStart() {
if (this.skipK > 0) this.skipK -= 1
}
handleLLMNewToken(token: string) {
if (this.skipK === 0) {
if (!this.isLLMStarted) {
this.isLLMStarted = true
this.socketIO.to(this.socketIOClientId).emit('start', token)
}
this.socketIO.to(this.socketIOClientId).emit('token', token)
}
}
handleLLMEnd() {
this.socketIO.to(this.socketIOClientId).emit('end')
}
handleChainEnd(outputs: ChainValues): void | Promise<void> {
if (this.returnSourceDocuments) {
this.socketIO.to(this.socketIOClientId).emit('sourceDocuments', outputs?.sourceDocuments)
}
}
}
export const availableDependencies = [
'@dqbd/tiktoken',
'@getzep/zep-js',
+2 -1
View File
@@ -5,4 +5,5 @@ PORT=3000
# DATABASE_PATH=/your_database_path/.flowise
# APIKEY_PATH=/your_api_key_path/.flowise
# LOG_PATH=/your_log_path/logs
# EXECUTION_MODE=child or main
# LOG_LEVEL=debug (error | warn | info | verbose | debug)
# EXECUTION_MODE=main (child | main)
+20 -2
View File
@@ -29,9 +29,27 @@ FLOWISE_USERNAME=user
FLOWISE_PASSWORD=1234
```
## 🔎 Debugging
## 🌱 Env Variables
You can set `DEBUG=true` to the `.env` file. Refer [here](https://docs.flowiseai.com/environment-variables) for full list of env variables
Flowise support different environment variables to configure your instance. You can specify the following variables in the `.env` file inside `packages/server` folder.
| Variable | Description | Type | Default |
| ---------------- | ---------------------------------------------------------------- | ------------------------------------------------ | ----------------------------------- |
| PORT | The HTTP port Flowise runs on | Number | 3000 |
| FLOWISE_USERNAME | Username to login | String |
| FLOWISE_PASSWORD | Password to login | String |
| DEBUG | Print logs from components | Boolean |
| LOG_PATH | Location where log files are stored | String | `your-path/Flowise/logs` |
| LOG_LEVEL | Different levels of logs | Enum String: `error`, `info`, `verbose`, `debug` | `info` |
| DATABASE_PATH | Location where database is saved | String | `your-home-dir/.flowise` |
| APIKEY_PATH | Location where api keys are saved | String | `your-path/Flowise/packages/server` |
| EXECUTION_MODE | Whether predictions run in their own process or the main process | Enum String: `child`, `main` | `main` |
You can also specify the env variables when using `npx`. For example:
```
npx flowise start --PORT=3000 --DEBUG=true
```
## 📖 Documentation
@@ -249,6 +249,15 @@
"name": "memory",
"type": "BaseMemory",
"id": "conversationChain_0-input-memory-BaseMemory"
},
{
"label": "Document",
"name": "document",
"type": "Document",
"description": "Include whole document into the context window",
"optional": true,
"list": true,
"id": "conversationChain_0-input-document-Document"
}
],
"inputs": {
+1 -1
View File
@@ -1,6 +1,6 @@
{
"name": "flowise",
"version": "1.2.14",
"version": "1.2.15",
"description": "Flowiseai Server",
"main": "dist/index",
"types": "dist/index.d.ts",
+4
View File
@@ -1,5 +1,6 @@
import { ICommonObject } from 'flowise-components'
import { IActiveChatflows, INodeData, IReactFlowNode } from './Interface'
import logger from './utils/logger'
/**
* This pool is to keep track of active chatflow pools
@@ -22,6 +23,7 @@ export class ChatflowPool {
inSync: true
}
if (overrideConfig) this.activeChatflows[chatflowid].overrideConfig = overrideConfig
logger.info(`[server]: Chatflow ${chatflowid} added into ChatflowPool`)
}
/**
@@ -32,6 +34,7 @@ export class ChatflowPool {
updateInSync(chatflowid: string, inSync: boolean) {
if (Object.prototype.hasOwnProperty.call(this.activeChatflows, chatflowid)) {
this.activeChatflows[chatflowid].inSync = inSync
logger.info(`[server]: Chatflow ${chatflowid} updated inSync=${inSync} in ChatflowPool`)
}
}
@@ -42,6 +45,7 @@ export class ChatflowPool {
async remove(chatflowid: string) {
if (Object.prototype.hasOwnProperty.call(this.activeChatflows, chatflowid)) {
delete this.activeChatflows[chatflowid]
logger.info(`[server]: Chatflow ${chatflowid} removed from ChatflowPool`)
}
}
}
+95 -81
View File
@@ -6,6 +6,7 @@ import { ChatFlow } from './entity/ChatFlow'
import { ChatMessage } from './entity/ChatMessage'
import { Tool } from './entity/Tool'
import { Credential } from './entity/Credential'
import logger from './utils/logger'
export class ChildProcess {
/**
@@ -28,99 +29,112 @@ export class ChildProcess {
await sendToParentProcess('start', '_')
const childAppDataSource = await initDB()
try {
const childAppDataSource = await initDB()
// Create a Queue and add our initial node in it
const { endingNodeData, chatflow, chatId, incomingInput, componentNodes } = messageValue
// Create a Queue and add our initial node in it
const { endingNodeData, chatflow, chatId, incomingInput, componentNodes } = messageValue
let nodeToExecuteData: INodeData
let addToChatFlowPool: any = {}
let nodeToExecuteData: INodeData
let addToChatFlowPool: any = {}
/* Don't rebuild the flow (to avoid duplicated upsert, recomputation) when all these conditions met:
* - Node Data already exists in pool
* - Still in sync (i.e the flow has not been modified since)
* - Existing overrideConfig and new overrideConfig are the same
* - Flow doesn't start with nodes that depend on incomingInput.question
***/
if (endingNodeData) {
nodeToExecuteData = endingNodeData
} else {
/*** Get chatflows and prepare data ***/
const flowData = chatflow.flowData
const parsedFlowData: IReactFlowObject = JSON.parse(flowData)
const nodes = parsedFlowData.nodes
const edges = parsedFlowData.edges
/* Don't rebuild the flow (to avoid duplicated upsert, recomputation) when all these conditions met:
* - Node Data already exists in pool
* - Still in sync (i.e the flow has not been modified since)
* - Existing overrideConfig and new overrideConfig are the same
* - Flow doesn't start with nodes that depend on incomingInput.question
***/
if (endingNodeData) {
nodeToExecuteData = endingNodeData
} else {
/*** Get chatflows and prepare data ***/
const flowData = chatflow.flowData
const parsedFlowData: IReactFlowObject = JSON.parse(flowData)
const nodes = parsedFlowData.nodes
const edges = parsedFlowData.edges
/*** Get Ending Node with Directed Graph ***/
const { graph, nodeDependencies } = constructGraphs(nodes, edges)
const directedGraph = graph
const endingNodeId = getEndingNode(nodeDependencies, directedGraph)
if (!endingNodeId) {
await sendToParentProcess('error', `Ending node must be either a Chain or Agent`)
return
}
/*** Get Ending Node with Directed Graph ***/
const { graph, nodeDependencies } = constructGraphs(nodes, edges)
const directedGraph = graph
const endingNodeId = getEndingNode(nodeDependencies, directedGraph)
if (!endingNodeId) {
await sendToParentProcess('error', `Ending node ${endingNodeId} not found`)
return
}
const endingNodeData = nodes.find((nd) => nd.id === endingNodeId)?.data
if (!endingNodeData) {
await sendToParentProcess('error', `Ending node must be either a Chain or Agent`)
return
}
const endingNodeData = nodes.find((nd) => nd.id === endingNodeId)?.data
if (!endingNodeData) {
await sendToParentProcess('error', `Ending node ${endingNodeId} data not found`)
return
}
if (
endingNodeData.outputs &&
Object.keys(endingNodeData.outputs).length &&
!Object.values(endingNodeData.outputs).includes(endingNodeData.name)
) {
await sendToParentProcess(
'error',
`Output of ${endingNodeData.label} (${endingNodeData.id}) must be ${endingNodeData.label}, can't be an Output Prediction`
if (endingNodeData && endingNodeData.category !== 'Chains' && endingNodeData.category !== 'Agents') {
await sendToParentProcess('error', `Ending node must be either a Chain or Agent`)
return
}
if (
endingNodeData.outputs &&
Object.keys(endingNodeData.outputs).length &&
!Object.values(endingNodeData.outputs).includes(endingNodeData.name)
) {
await sendToParentProcess(
'error',
`Output of ${endingNodeData.label} (${endingNodeData.id}) must be ${endingNodeData.label}, can't be an Output Prediction`
)
return
}
/*** Get Starting Nodes with Non-Directed Graph ***/
const constructedObj = constructGraphs(nodes, edges, true)
const nonDirectedGraph = constructedObj.graph
const { startingNodeIds, depthQueue } = getStartingNodes(nonDirectedGraph, endingNodeId)
logger.debug(`[server] [mode:child]: Start building chatflow ${chatflow.id}`)
/*** BFS to traverse from Starting Nodes to Ending Node ***/
const reactFlowNodes = await buildLangchain(
startingNodeIds,
nodes,
graph,
depthQueue,
componentNodes,
incomingInput.question,
chatId,
childAppDataSource,
incomingInput?.overrideConfig
)
return
const nodeToExecute = reactFlowNodes.find((node: IReactFlowNode) => node.id === endingNodeId)
if (!nodeToExecute) {
await sendToParentProcess('error', `Node ${endingNodeId} not found`)
return
}
const reactFlowNodeData: INodeData = resolveVariables(nodeToExecute.data, reactFlowNodes, incomingInput.question)
nodeToExecuteData = reactFlowNodeData
const startingNodes = nodes.filter((nd) => startingNodeIds.includes(nd.id))
addToChatFlowPool = {
chatflowid: chatflow.id,
nodeToExecuteData,
startingNodes,
overrideConfig: incomingInput?.overrideConfig
}
}
/*** Get Starting Nodes with Non-Directed Graph ***/
const constructedObj = constructGraphs(nodes, edges, true)
const nonDirectedGraph = constructedObj.graph
const { startingNodeIds, depthQueue } = getStartingNodes(nonDirectedGraph, endingNodeId)
const nodeInstanceFilePath = componentNodes[nodeToExecuteData.name].filePath as string
const nodeModule = await import(nodeInstanceFilePath)
const nodeInstance = new nodeModule.nodeClass()
/*** BFS to traverse from Starting Nodes to Ending Node ***/
const reactFlowNodes = await buildLangchain(
startingNodeIds,
nodes,
graph,
depthQueue,
componentNodes,
incomingInput.question,
chatId,
childAppDataSource,
incomingInput?.overrideConfig
)
logger.debug(`[server] [mode:child]: Running ${nodeToExecuteData.label} (${nodeToExecuteData.id})`)
const result = await nodeInstance.run(nodeToExecuteData, incomingInput.question, { chatHistory: incomingInput.history })
logger.debug(`[server] [mode:child]: Finished running ${nodeToExecuteData.label} (${nodeToExecuteData.id})`)
const nodeToExecute = reactFlowNodes.find((node: IReactFlowNode) => node.id === endingNodeId)
if (!nodeToExecute) {
await sendToParentProcess('error', `Node ${endingNodeId} not found`)
return
}
const reactFlowNodeData: INodeData = resolveVariables(nodeToExecute.data, reactFlowNodes, incomingInput.question)
nodeToExecuteData = reactFlowNodeData
const startingNodes = nodes.filter((nd) => startingNodeIds.includes(nd.id))
addToChatFlowPool = {
chatflowid: chatflow.id,
nodeToExecuteData,
startingNodes,
overrideConfig: incomingInput?.overrideConfig
}
await sendToParentProcess('finish', { result, addToChatFlowPool })
} catch (e: any) {
await sendToParentProcess('error', e.message)
logger.error('[server] [mode:child]: Error:', e)
}
const nodeInstanceFilePath = componentNodes[nodeToExecuteData.name].filePath as string
const nodeModule = await import(nodeInstanceFilePath)
const nodeInstance = new nodeModule.nodeClass()
const result = await nodeInstance.run(nodeToExecuteData, incomingInput.question, { chatHistory: incomingInput.history })
await sendToParentProcess('finish', { result, addToChatFlowPool })
}
}
+2
View File
@@ -23,6 +23,7 @@ export default class Start extends Command {
DATABASE_PATH: Flags.string(),
APIKEY_PATH: Flags.string(),
LOG_PATH: Flags.string(),
LOG_LEVEL: Flags.string(),
EXECUTION_MODE: Flags.string()
}
@@ -61,6 +62,7 @@ export default class Start extends Command {
if (flags.DATABASE_PATH) process.env.DATABASE_PATH = flags.DATABASE_PATH
if (flags.APIKEY_PATH) process.env.APIKEY_PATH = flags.APIKEY_PATH
if (flags.LOG_PATH) process.env.LOG_PATH = flags.LOG_PATH
if (flags.LOG_LEVEL) process.env.LOG_LEVEL = flags.LOG_LEVEL
if (flags.EXECUTION_MODE) process.env.EXECUTION_MODE = flags.EXECUTION_MODE
if (flags.DEBUG) process.env.DEBUG = flags.DEBUG
+28 -8
View File
@@ -339,10 +339,16 @@ export class App {
const nodes = parsedFlowData.nodes
const edges = parsedFlowData.edges
const { graph, nodeDependencies } = constructGraphs(nodes, edges)
const endingNodeId = getEndingNode(nodeDependencies, graph)
if (!endingNodeId) return res.status(500).send(`Ending node must be either a Chain or Agent`)
if (!endingNodeId) return res.status(500).send(`Ending node ${endingNodeId} not found`)
const endingNodeData = nodes.find((nd) => nd.id === endingNodeId)?.data
if (!endingNodeData) return res.status(500).send(`Ending node must be either a Chain or Agent`)
if (!endingNodeData) return res.status(500).send(`Ending node ${endingNodeId} data not found`)
if (endingNodeData && endingNodeData.category !== 'Chains' && endingNodeData.category !== 'Agents') {
return res.status(500).send(`Ending node must be either a Chain or Agent`)
}
const obj = {
isStreaming: isFlowValidForStream(nodes, endingNodeData)
@@ -779,7 +785,7 @@ export class App {
})
})
} catch (err) {
logger.error(err)
logger.error('[server] [mode:child]: Error:', err)
}
}
@@ -855,9 +861,11 @@ export class App {
if (process.env.EXECUTION_MODE === 'child') {
if (isFlowReusable()) {
nodeToExecuteData = this.chatflowPool.activeChatflows[chatflowid].endingNodeData
logger.debug(
`[server] [mode:child]: Reuse existing chatflow ${chatflowid} with ending node ${nodeToExecuteData.label} (${nodeToExecuteData.id})`
)
try {
const result = await this.startChildProcess(chatflow, chatId, incomingInput, nodeToExecuteData)
return res.json(result)
} catch (error) {
return res.status(500).send(error)
@@ -880,15 +888,22 @@ export class App {
if (isFlowReusable()) {
nodeToExecuteData = this.chatflowPool.activeChatflows[chatflowid].endingNodeData
isStreamValid = isFlowValidForStream(nodes, nodeToExecuteData)
logger.debug(
`[server]: Reuse existing chatflow ${chatflowid} with ending node ${nodeToExecuteData.label} (${nodeToExecuteData.id})`
)
} else {
/*** Get Ending Node with Directed Graph ***/
const { graph, nodeDependencies } = constructGraphs(nodes, 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`)
if (!endingNodeId) return res.status(500).send(`Ending node ${endingNodeId} not found`)
const endingNodeData = nodes.find((nd) => nd.id === endingNodeId)?.data
if (!endingNodeData) return res.status(500).send(`Ending node must be either a Chain or Agent`)
if (!endingNodeData) return res.status(500).send(`Ending node ${endingNodeId} data not found`)
if (endingNodeData && endingNodeData.category !== 'Chains' && endingNodeData.category !== 'Agents') {
return res.status(500).send(`Ending node must be either a Chain or Agent`)
}
if (
endingNodeData.outputs &&
@@ -909,6 +924,7 @@ export class App {
const nonDirectedGraph = constructedObj.graph
const { startingNodeIds, depthQueue } = getStartingNodes(nonDirectedGraph, endingNodeId)
logger.debug(`[server]: Start building chatflow ${chatflowid}`)
/*** BFS to traverse from Starting Nodes to Ending Node ***/
const reactFlowNodes = await buildLangchain(
startingNodeIds,
@@ -937,17 +953,21 @@ export class App {
const nodeInstance = new nodeModule.nodeClass()
isStreamValid = isStreamValid && !isVectorStoreFaiss(nodeToExecuteData)
logger.debug(`[server]: Running ${nodeToExecuteData.label} (${nodeToExecuteData.id})`)
const result = isStreamValid
? await nodeInstance.run(nodeToExecuteData, incomingInput.question, {
chatHistory: incomingInput.history,
socketIO,
socketIOClientId: incomingInput.socketIOClientId
socketIOClientId: incomingInput.socketIOClientId,
logger
})
: await nodeInstance.run(nodeToExecuteData, incomingInput.question, { chatHistory: incomingInput.history })
: await nodeInstance.run(nodeToExecuteData, incomingInput.question, { chatHistory: incomingInput.history, logger })
logger.debug(`[server]: Finished running ${nodeToExecuteData.label} (${nodeToExecuteData.id})`)
return res.json(result)
}
} catch (e: any) {
logger.error('[server]: Error:', e)
return res.status(500).send(e.message)
}
}
+2 -2
View File
@@ -9,12 +9,12 @@ dotenv.config({ path: path.join(__dirname, '..', '..', '.env'), override: true }
const loggingConfig = {
dir: process.env.LOG_PATH ?? path.join(__dirname, '..', '..', '..', '..', 'logs'),
server: {
level: 'info',
level: process.env.LOG_LEVEL ?? 'info',
filename: 'server.log',
errorFilename: 'server-error.log'
},
express: {
level: 'info',
level: process.env.LOG_LEVEL ?? 'info',
format: 'jsonl', // can't be changed currently
filename: 'server-requests.log.jsonl' // should end with .jsonl
}
+7 -1
View File
@@ -188,6 +188,9 @@ export const getEndingNode = (nodeDependencies: INodeDependencies, graph: INodeD
* @param {IDepthQueue} depthQueue
* @param {IComponentNodes} componentNodes
* @param {string} question
* @param {string} chatId
* @param {DataSource} appDataSource
* @param {ICommonObject} overrideConfig
*/
export const buildLangchain = async (
startingNodeIds: string[],
@@ -230,11 +233,14 @@ export const buildLangchain = async (
if (overrideConfig) flowNodeData = replaceInputsWithConfig(flowNodeData, overrideConfig)
const reactFlowNodeData: INodeData = resolveVariables(flowNodeData, flowNodes, question)
logger.debug(`[server]: Initializing ${reactFlowNode.data.label} (${reactFlowNode.data.id})`)
flowNodes[nodeIndex].data.instance = await newNodeInstance.init(reactFlowNodeData, question, {
chatId,
appDataSource,
databaseEntities
databaseEntities,
logger
})
logger.debug(`[server]: Finished initializing ${reactFlowNode.data.label} (${reactFlowNode.data.id})`)
} catch (e: any) {
logger.error(e)
throw new Error(e)
+8 -6
View File
@@ -4,7 +4,7 @@ import config from './config' // should be replaced by node-config or similar
import { createLogger, transports, format } from 'winston'
import { NextFunction, Request, Response } from 'express'
const { combine, timestamp, printf } = format
const { combine, timestamp, printf, errors } = format
// expect the log dir be relative to the projects root
const logDir = config.logging.dir
@@ -18,9 +18,11 @@ const logger = createLogger({
format: combine(
timestamp({ format: 'YYYY-MM-DD HH:mm:ss' }),
format.json(),
printf(({ level, message, timestamp }) => {
return `${timestamp} [${level.toUpperCase()}]: ${message}`
})
printf(({ level, message, timestamp, stack }) => {
const text = `${timestamp} [${level.toUpperCase()}]: ${message}`
return stack ? text + '\n' + stack : text
}),
errors({ stack: true })
),
defaultMeta: {
package: 'server'
@@ -56,7 +58,7 @@ const logger = createLogger({
*/
export function expressRequestLogger(req: Request, res: Response, next: NextFunction): void {
const fileLogger = createLogger({
format: combine(timestamp({ format: 'YYYY-MM-DD HH:mm:ss' }), format.json()),
format: combine(timestamp({ format: 'YYYY-MM-DD HH:mm:ss' }), format.json(), errors({ stack: true })),
defaultMeta: {
package: 'server',
request: {
@@ -71,7 +73,7 @@ export function expressRequestLogger(req: Request, res: Response, next: NextFunc
transports: [
new transports.File({
filename: path.join(logDir, config.logging.express.filename ?? 'server-requests.log.jsonl'),
level: 'debug'
level: config.logging.express.level ?? 'debug'
})
]
})
+1 -1
View File
@@ -1,6 +1,6 @@
{
"name": "flowise-ui",
"version": "1.2.13",
"version": "1.2.14",
"license": "SEE LICENSE IN LICENSE.md",
"homepage": "https://flowiseai.com",
"author": {
@@ -43,7 +43,7 @@ const ChatExpandDialog = ({ show, dialogProps, onClear, onCancel }) => {
)}
</div>
</DialogTitle>
<DialogContent>
<DialogContent sx={{ display: 'flex', justifyContent: 'flex-end', flexDirection: 'column' }}>
<ChatMessage isDialog={true} open={dialogProps.open} chatflowid={dialogProps.chatflowid} />
</DialogContent>
</Dialog>
@@ -127,7 +127,8 @@
.cloud-dialog {
width: 100%;
height: calc(100vh - 230px);
height: 100vh;
overflow-y: scroll;
border-radius: 0.5rem;
display: flex;
justify-content: center;
@@ -368,6 +368,7 @@ export const ChatMessage = ({ open, chatflowid, isDialog }) => {
value={userInput}
onChange={onChange}
multiline={true}
maxRows={isDialog ? 7 : 2}
endAdornment={
<InputAdornment position='end' sx={{ padding: '15px' }}>
<IconButton type='submit' disabled={loading || !chatflowid} edge='end'>