ci(backend-review.yml): add linter step to the backend review workflow (#625)

* ci(backend-review.yml): add linter step to the backend review workflow

* chore(backend-review.yml): remove prettier from lint-action configuration

* chore: apply new linting workflow

* chore(lint-staged.config.js): reorder lint-staged tasks for JavaScript and TypeScript files

* chore(eslint): update ignorePatterns in .eslintrc.js
chore(lint-action): remove prettier option in backend-review.yml
chore(package.json): add lint and lint:fix scripts

* chore(lint-staged.config.js): remove prettier --write command for js, jsx, ts, tsx files

* chore(titleConvo.js): remove unnecessary console.log statement
chore(titleConvo.js): add missing comma in options object

* chore: apply linting to all files

* chore(lint-staged.config.js): update lint-staged configuration to include prettier formatting

api/app/clients/agents/CustomAgent/CustomAgent.js

@@ -8,7 +8,7 @@ class CustomAgent extends ZeroShotAgent {
   }
 
   _stop() {
-    return [`\nObservation:`, `\nObservation 1:`];
+    return ['\nObservation:', '\nObservation 1:'];
   }
 
   static createPrompt(tools, opts = {}) {
@@ -32,17 +32,17 @@ class CustomAgent extends ZeroShotAgent {
       .join('\n');
     const toolNames = tools.map((tool) => tool.name);
     const formatInstructions = (0, renderTemplate)(instructions, 'f-string', {
-      tool_names: toolNames
+      tool_names: toolNames,
     });
     const template = [
       `Date: ${currentDateString}\n${prefix}`,
       toolStrings,
       formatInstructions,
-      suffix
+      suffix,
     ].join('\n\n');
     return new PromptTemplate({
       template,
-      inputVariables
+      inputVariables,
     });
   }
 }

api/app/clients/agents/CustomAgent/initializeCustomAgent.js

@@ -6,7 +6,7 @@ const { BufferMemory, ChatMessageHistory } = require('langchain/memory');
 const {
   ChatPromptTemplate,
   SystemMessagePromptTemplate,
-  HumanMessagePromptTemplate
+  HumanMessagePromptTemplate,
 } = require('langchain/prompts');
 
 const initializeCustomAgent = async ({
@@ -22,7 +22,7 @@ const initializeCustomAgent = async ({
     new SystemMessagePromptTemplate(prompt),
     HumanMessagePromptTemplate.fromTemplate(`{chat_history}
 Query: {input}
-{agent_scratchpad}`)
+{agent_scratchpad}`),
   ]);
 
   const outputParser = new CustomOutputParser({ tools });
@@ -34,18 +34,18 @@ Query: {input}
     humanPrefix: 'User',
     aiPrefix: 'Assistant',
     inputKey: 'input',
-    outputKey: 'output'
+    outputKey: 'output',
   });
 
   const llmChain = new LLMChain({
     prompt: chatPrompt,
-    llm: model
+    llm: model,
   });
 
   const agent = new CustomAgent({
     llmChain,
     outputParser,
-    allowedTools: tools.map((tool) => tool.name)
+    allowedTools: tools.map((tool) => tool.name),
   });
 
   return AgentExecutor.fromAgentAndTools({ agent, tools, memory, ...rest });

api/app/clients/agents/CustomAgent/outputParser.js

@@ -57,7 +57,7 @@ class CustomOutputParser extends ZeroShotAgentOutputParser {
       const output = text.substring(finalMatch.index + finalMatch[0].length).trim();
       return {
         returnValues: { output },
-        log: text
+        log: text,
       };
     }
 
@@ -66,7 +66,7 @@ class CustomOutputParser extends ZeroShotAgentOutputParser {
     if (!match) {
       console.log(
         '\n\n<----------------------HIT NO MATCH PARSING ERROR---------------------->\n\n',
-        match
+        match,
       );
       const thoughts = text.replace(/[tT]hought:/, '').split('\n');
       // return {
@@ -77,7 +77,7 @@ class CustomOutputParser extends ZeroShotAgentOutputParser {
 
       return {
         returnValues: { output: thoughts[0] },
-        log: thoughts.slice(1).join('\n')
+        log: thoughts.slice(1).join('\n'),
       };
     }
 
@@ -86,12 +86,12 @@ class CustomOutputParser extends ZeroShotAgentOutputParser {
     if (match && selectedTool === 'n/a') {
       console.log(
         '\n\n<----------------------HIT N/A PARSING ERROR---------------------->\n\n',
-        match
+        match,
       );
       return {
         tool: 'self-reflection',
         toolInput: match[2]?.trim().replace(/^"+|"+$/g, '') ?? '',
-        log: text
+        log: text,
       };
     }
 
@@ -99,7 +99,7 @@ class CustomOutputParser extends ZeroShotAgentOutputParser {
     if (match && !toolIsValid) {
       console.log(
         '\n\n<----------------Tool invalid: Re-assigning Selected Tool---------------->\n\n',
-        match
+        match,
       );
       selectedTool = this.getValidTool(selectedTool);
     }
@@ -107,7 +107,7 @@ class CustomOutputParser extends ZeroShotAgentOutputParser {
     if (match && !selectedTool) {
       console.log(
         '\n\n<----------------------HIT INVALID TOOL PARSING ERROR---------------------->\n\n',
-        match
+        match,
       );
       selectedTool = 'self-reflection';
     }
@@ -115,7 +115,7 @@ class CustomOutputParser extends ZeroShotAgentOutputParser {
     if (match && !match[2]) {
       console.log(
         '\n\n<----------------------HIT NO ACTION INPUT PARSING ERROR---------------------->\n\n',
-        match
+        match,
       );
 
       // In case there is no action input, let's double-check if there is an action input in 'text' variable
@@ -125,7 +125,7 @@ class CustomOutputParser extends ZeroShotAgentOutputParser {
         return {
           tool: selectedTool,
           toolInput: actionInputMatch[1].trim(),
-          log: text
+          log: text,
         };
       }
 
@@ -133,7 +133,7 @@ class CustomOutputParser extends ZeroShotAgentOutputParser {
         return {
           tool: selectedTool,
           toolInput: thoughtMatch[1].trim(),
-          log: text
+          log: text,
         };
       }
     }
@@ -158,12 +158,12 @@ class CustomOutputParser extends ZeroShotAgentOutputParser {
       if (action && actionInputMatch) {
         console.log(
           '\n\n<------Matched Action Input in Long Parsing Error------>\n\n',
-          actionInputMatch
+          actionInputMatch,
         );
         return {
           tool: action,
           toolInput: actionInputMatch[1].trim().replaceAll('"', ''),
-          log: text
+          log: text,
         };
       }
 
@@ -180,7 +180,7 @@ class CustomOutputParser extends ZeroShotAgentOutputParser {
         const returnValues = {
           tool: action,
           toolInput: input,
-          log: thought || inputText
+          log: thought || inputText,
         };
 
         const inputMatch = this.actionValues.exec(returnValues.log); //new
@@ -197,7 +197,7 @@ class CustomOutputParser extends ZeroShotAgentOutputParser {
         return {
           tool: 'self-reflection',
           toolInput: 'Hypothetical actions: \n"' + text + '"\n',
-          log: 'Thought: I need to look at my hypothetical actions and try one'
+          log: 'Thought: I need to look at my hypothetical actions and try one',
         };
       }
 
@@ -210,7 +210,7 @@ class CustomOutputParser extends ZeroShotAgentOutputParser {
     return {
       tool: selectedTool,
       toolInput: match[2]?.trim()?.replace(/^"+|"+$/g, '') ?? '',
-      log: text
+      log: text,
     };
   }
 }

api/app/clients/agents/Functions/FunctionsAgent.js

@@ -5,9 +5,9 @@ const {
   ChatPromptTemplate,
   MessagesPlaceholder,
   SystemMessagePromptTemplate,
-  HumanMessagePromptTemplate
+  HumanMessagePromptTemplate,
 } = require('langchain/prompts');
-const PREFIX = `You are a helpful AI assistant.`;
+const PREFIX = 'You are a helpful AI assistant.';
 
 function parseOutput(message) {
   if (message.additional_kwargs.function_call) {
@@ -15,7 +15,7 @@ function parseOutput(message) {
     return {
       tool: function_call.name,
       toolInput: function_call.arguments ? JSON.parse(function_call.arguments) : {},
-      log: message.text
+      log: message.text,
     };
   } else {
     return { returnValues: { output: message.text }, log: message.text };
@@ -52,7 +52,7 @@ class FunctionsAgent extends Agent {
     return ChatPromptTemplate.fromPromptMessages([
       SystemMessagePromptTemplate.fromTemplate(`Date: ${currentDateString}\n${prefix}`),
       new MessagesPlaceholder('chat_history'),
-      HumanMessagePromptTemplate.fromTemplate(`Query: {input}`),
+      HumanMessagePromptTemplate.fromTemplate('Query: {input}'),
       new MessagesPlaceholder('agent_scratchpad'),
     ]);
   }
@@ -63,12 +63,12 @@ class FunctionsAgent extends Agent {
     const chain = new LLMChain({
       prompt,
       llm,
-      callbacks: args?.callbacks
+      callbacks: args?.callbacks,
     });
     return new FunctionsAgent({
       llmChain: chain,
       allowedTools: tools.map((t) => t.name),
-      tools
+      tools,
     });
   }
 
@@ -77,10 +77,10 @@ class FunctionsAgent extends Agent {
       new AIChatMessage('', {
         function_call: {
           name: action.tool,
-          arguments: JSON.stringify(action.toolInput)
-        }
+          arguments: JSON.stringify(action.toolInput),
+        },
       }),
-      new FunctionChatMessage(observation, action.tool)
+      new FunctionChatMessage(observation, action.tool),
     ]);
   }
 
@@ -96,7 +96,7 @@ class FunctionsAgent extends Agent {
     const llm = this.llmChain.llm;
     const valuesForPrompt = Object.assign({}, newInputs);
     const valuesForLLM = {
-      tools: this.tools
+      tools: this.tools,
     };
     for (let i = 0; i < this.llmChain.llm.callKeys.length; i++) {
       const key = this.llmChain.llm.callKeys[i];
@@ -110,7 +110,7 @@ class FunctionsAgent extends Agent {
     const message = await llm.predictMessages(
       promptValue.toChatMessages(),
       valuesForLLM,
-      callbackManager
+      callbackManager,
     );
     console.log('message', message);
     return parseOutput(message);

api/app/clients/agents/Functions/initializeFunctionsAgent.js

@@ -8,7 +8,6 @@ const initializeFunctionsAgent = async ({
   // currentDateString,
   ...rest
 }) => {
-
   const memory = new BufferMemory({
     chatHistory: new ChatMessageHistory(pastMessages),
     memoryKey: 'chat_history',
@@ -19,17 +18,11 @@ const initializeFunctionsAgent = async ({
     returnMessages: true,
   });
 
-  return await initializeAgentExecutorWithOptions(
-    tools,
-    model,
-    {
-      agentType: 'openai-functions',
-      memory,
-      ...rest,
-    }
-  );
-
+  return await initializeAgentExecutorWithOptions(tools, model, {
+    agentType: 'openai-functions',
+    memory,
+    ...rest,
+  });
 };
 
 module.exports = initializeFunctionsAgent;
-

api/app/clients/agents/index.js

@@ -3,5 +3,5 @@ const initializeFunctionsAgent = require('./Functions/initializeFunctionsAgent')
 
 module.exports = {
   initializeCustomAgent,
-  initializeFunctionsAgent
-};
+  initializeFunctionsAgent,
+};