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Code Issues Projects Releases Packages Wiki Activity Actions 4

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

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* 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
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Danny Avila 2023-07-14 09:36:49 -04:00 • committed by GitHub
parent 637bb6bc11
commit e5336039fc
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231 changed files with 1688 additions and 1526 deletions
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22
api/app/clients/agents/Functions/FunctionsAgent.js
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@ -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);