### Setup Development Environment

Source: https://github.com/the-answerai/theanswer/blob/production/packages/docs/docs/developers/contributing.md

Commands to install project dependencies, configure environment variables, and start the local development servers for the AnswerAI project.

```bash
pnpm install
cp .env.example .env
pnpm dev
```

--------------------------------

### Development Workflow Setup for AnswerAI Contributions

Source: https://github.com/the-answerai/theanswer/blob/production/packages/docs/docs/developers/contributing.md

This snippet outlines the standard development workflow for setting up a local environment, including cloning the repository, creating a feature branch, installing dependencies, and starting the development server.

```bash
# Clone your fork
git clone https://github.com/YOUR_USERNAME/REPO_NAME.git
cd REPO_NAME

# Create feature branch
git checkout -b feature/your-feature-name

# Install dependencies
npm install
# or
pnpm install

# Start development server
npm run dev
```

--------------------------------

### Start Local Documentation Server

Source: https://github.com/the-answerai/theanswer/blob/production/packages/docs/docs/developers/running-locally.md

This sequence of bash commands navigates into the `packages/docs` directory and starts the local documentation server using pnpm. This allows developers to preview documentation changes and access the site at `http://localhost:4242`.

```bash
cd packages/docs
pnpm start
```

--------------------------------

### Install AnswerAI Project Dependencies

Source: https://github.com/the-answerai/theanswer/blob/production/packages/docs/docs/developers/running-locally.md

Installs all required dependencies for the AnswerAI monorepo across all packages using PNPM, ensuring all modules are available.

```Bash
pnpm install
```

--------------------------------

### Clone AnswerAI Monorepo

Source: https://github.com/the-answerai/theanswer/blob/production/packages/docs/docs/developers/running-locally.md

Clones the AnswerAI monorepo from GitHub and navigates into the project's root directory, preparing for local setup.

```Bash
git clone https://github.com/AnswerAI/AnswerAI.git
cd AnswerAI
```

--------------------------------

### PNPM Build and Development Commands

Source: https://github.com/the-answerai/theanswer/blob/production/AGENTS.md

Lists essential `pnpm` commands for managing project dependencies, building all packages, and starting the development servers.

```bash
pnpm install          # Install dependencies
pnpm build            # Build all packages
pnpm dev              # Start development servers
```

--------------------------------

### Local Development Setup for TheAnswer AI

Source: https://github.com/the-answerai/theanswer/blob/production/README.md

This snippet provides the essential commands for setting up TheAnswer AI for local development. It covers cloning the repository, initializing git submodules, installing project dependencies using pnpm, and building the application. It also includes commands to resolve common database or Prisma-related build issues and to start the local development server, accessible via http://localhost:3000. Users must also manually create .env files and configure a PostgreSQL database.

```bash
git clone https://github.com/the-answerai/theanswer.git
cd theanswer
```

```bash
git submodule update --init
```

```bash
pnpm install
```

```bash
pnpm build
```

```bash
pnpm build --force
```

```bash
pnpm db:migrate
```

```bash
pnpm dev
```

--------------------------------

### Run AnswerAI in Development Mode

Source: https://github.com/the-answerai/theanswer/blob/production/packages/docs/docs/developers/running-locally.md

Starts both the backend server and frontend development server for AnswerAI, enabling live reloading and facilitating rapid development.

```Bash
pnpm dev
```

--------------------------------

### Install Flowise via npm

Source: https://github.com/the-answerai/theanswer/blob/production/packages/docs/docs/developers/authorization/app-level.md

This command installs the Flowise application globally using the Node Package Manager (npm). It's the first step before starting the Flowise server.

```bash
npm install -g flowise
```

--------------------------------

### Start LocalAI Service with Docker Compose (Bash)

Source: https://github.com/the-answerai/theanswer/blob/production/packages/docs/docs/sidekick-studio/chatflows/chat-models/chatlocalai.md

Starts the LocalAI service using Docker Compose, running it in detached mode (-d) and ensuring the latest images are pulled (--pull always) for a robust setup.

```bash
docker compose up -d --pull always
```

--------------------------------

### Start Flowise API Documentation Server Standalone

Source: https://github.com/the-answerai/theanswer/blob/production/packages/api-documentation/README.md

Navigate to the API documentation package directory and start the server using pnpm. This command launches the server hosting the Flowise API documentation.

```shell
cd packages/api-documentation
pnpm start
```

--------------------------------

### New Feature Video Structure Example

Source: https://github.com/the-answerai/theanswer/blob/production/packages/docs/docs/developers/video-guide.md

An example outline for structuring a video that demonstrates a new feature, covering introduction, demo, technical implementation, and impact.

```text
1. Introduction (25 seconds)
   "I built a new document summarization feature for the
   browser extension..."

2. Feature Demo (75 seconds)
   [Show the feature working end-to-end]

3. Technical Implementation (45 seconds)
   [Explain key code components]

4. Impact & Mission (35 seconds)
   "This helps users quickly understand content while keeping
   their data local and private..."
```

--------------------------------

### Few Shot Prompt Template Node

Source: https://github.com/the-answerai/theanswer/blob/production/packages/docs/docs/sidekick-studio/chatflows/prompts/README.md

Details on guiding model behavior with examples using the Few Shot Prompt Template node.

```APIDOC
The Few Shot Prompt Template node enables you to provide examples to guide the model's behavior. This is particularly useful when you want the model to follow a specific pattern or format in its responses.
```

--------------------------------

### Bug Fix Video Structure Example

Source: https://github.com/the-answerai/theanswer/blob/production/packages/docs/docs/developers/video-guide.md

An example outline for structuring a video that demonstrates a bug fix, detailing sections from introduction to mission connection.

```text
1. Introduction (20 seconds)
   "I fixed a critical bug in the chat interface where messages
   weren't displaying properly in dark mode..."

2. Problem Demonstration (45 seconds)
   [Show the bug occurring, explain impact on users]

3. Solution Walkthrough (60 seconds)
   [Show code changes, explain the fix]

4. Testing & Verification (30 seconds)
   [Demonstrate the fix working]

5. Mission Connection (25 seconds)
   "This improves accessibility and ensures our privacy-focused
   chat works for all users..."
```

--------------------------------

### Install Project Dependencies with Yarn

Source: https://github.com/the-answerai/theanswer/blob/production/packages/docs/README.md

This command installs all required project dependencies using the Yarn package manager. It should be run once after cloning the repository.

```shell
$ yarn
```

--------------------------------

### Example Unit Test for Resource API

Source: https://github.com/the-answerai/theanswer/blob/production/AGENTS.md

This unit test demonstrates how to test the resource creation API endpoint. It includes setting up test data, making an authenticated POST request using `supertest`, and asserting that the response contains the expected properties.

```typescript
// packages/server/test/api/resource.test.ts
describe('Resource API', () => {
    beforeEach(async () => {
        // Setup test data
    })

    it('should create resource', async () => {
        const response = await request(app)
            .post('/api/v1/resources')
            .set('Authorization', `Bearer ${TEST_TOKEN}`)
            .send(testData)
            .expect(200)

        expect(response.body).toHaveProperty('id')
    })
})
```

--------------------------------

### BWS Secure Basic CLI Commands

Source: https://github.com/the-answerai/theanswer/blob/production/scripts/bws-secure/README.md

Essential `pnpm` commands for development, production builds, starting the server, listing projects, and verifying BWS installation.

```bash
# Development
pnpm dev

# Production build
pnpm build

# Start production server
pnpm start

# List available projects
pnpm list-projects

# Verify BWS installation
pnpm bws-deps
```

--------------------------------

### Product Naming Prompt Template and Example Values

Source: https://github.com/the-answerai/theanswer/blob/production/packages/docs/docs/sidekick-studio/chatflows/prompts/prompt-template.md

Illustrates a prompt template designed for generating product names, including placeholders for product type, key features, and target audience, along with example JSON data.

```text
Generate 5 creative names for a {product_type} that emphasizes its {key_feature}. The target audience is {target_audience}.
```

```json
{
    "product_type": "smartphone",
    "key_feature": "long battery life",
    "target_audience": "busy professionals"
}
```

--------------------------------

### Start Flowise Server Standalone

Source: https://github.com/the-answerai/theanswer/blob/production/packages/api-documentation/README.md

Navigate to the Flowise directory and start the server using pnpm. This command initiates the Flowise backend for standalone operation.

```shell
cd Flowise
pnpm start
```

--------------------------------

### Recommended SQL Prompt Format for LLMs

Source: https://github.com/the-answerai/theanswer/blob/production/packages/docs/docs/developers/use-cases/sql-qna.md

This snippet illustrates the recommended format for providing SQL database schema and example data to a Large Language Model (LLM). It includes a CREATE TABLE statement, a SELECT query, column headers, and sample data rows, designed to guide the LLM in generating accurate SQL queries.

```sql
CREATE TABLE samples (firstName varchar NOT NULL, lastName varchar)
SELECT * FROM samples LIMIT 3
firstName lastName
Stephen Tyler
Jack McGinnis
Steven Repici
```

--------------------------------

### Build AnswerAI Monorepo

Source: https://github.com/the-answerai/theanswer/blob/production/packages/docs/docs/developers/running-locally.md

Compiles and builds all packages within the AnswerAI monorepo, preparing the application for execution or deployment.

```Bash
pnpm build
```

--------------------------------

### Content Summarization Prompt Template and Example Values

Source: https://github.com/the-answerai/theanswer/blob/production/packages/docs/docs/sidekick-studio/chatflows/prompts/prompt-template.md

Shows a prompt template for summarizing content, allowing specification of content type, word count, and the content itself, along with example JSON data.

```text
Summarize the following {content_type} in {word_count} words or less, focusing on the main points and key takeaways:

{content}
```

```json
{
    "content_type": "research paper",
    "word_count": 150,
    "content": "... (full text of the research paper) ..."
}
```

--------------------------------

### Example PostgreSQL Connection URL

Source: https://github.com/the-answerai/theanswer/blob/production/scripts/seed-credentials/README.md

Provides a concrete example of a PostgreSQL connection URL, illustrating the structure with typical values for username, password, host, port, and database name. This example is representative of URLs used for cloud database providers.

```APIDOC
postgresql://admin:mypassword@dpg-abc123.oregon-postgres.render.com/mydatabase
```

--------------------------------

### BWS Secure Debugging Command Examples

Source: https://github.com/the-answerai/theanswer/blob/production/scripts/bws-secure/README.md

Practical `bash` examples illustrating how to use `pnpm secure-run` with different debugging flags and environment settings for common scenarios like local development, production checks, and specific project debugging.

```bash
DEBUG=true SHOW_DECRYPTED=true pnpm secure-run next dev
```

```bash
DEBUG=true SHOW_DECRYPTED=true BWS_ENV=prod pnpm secure-run
```

```bash
DEBUG=true SHOW_DECRYPTED=true BWS_PROJECT=my-project BWS_ENV=dev pnpm secure-run
```

```bash
DEBUG=true VERBOSE=true SHOW_DECRYPTED=true pnpm secure-run
```

--------------------------------

### Example BWS Project Environment File

Source: https://github.com/the-answerai/theanswer/blob/production/scripts/bws-secure/upload-to-bws/readme.md

An example of a `.env.bws.*` file, demonstrating how to define secrets for a specific Bitwarden project, including comments and empty lines.

```env
# Production Environment (.env.bws.467a446c-bd75-46bd-9a35-b2740186e3a1)
CONTENTFUL_SPACE_ID=your_space_id
API_KEY=your_api_key
DATABASE_URL=your_db_url

# Comments and empty lines are ok
NEXT_PUBLIC_API_URL=https://api.example.com
```

--------------------------------

### Verify Flowise production build and start

Source: https://github.com/the-answerai/theanswer/blob/production/CONTRIBUTING.md

Performs a final build and then starts the application to ensure all changes work correctly in a production-like environment before committing code.

```bash
pnpm build
pnpm start
```

--------------------------------

### Install Project Dependencies

Source: https://github.com/the-answerai/theanswer/blob/production/scripts/bws-secure/upload-to-bws/readme.md

Command to install project dependencies using pnpm.

```bash
pnpm install
```

--------------------------------

### Troubleshooting Failed `pnpm install`

Source: https://github.com/the-answerai/theanswer/blob/production/scripts/dependabot-batch-processing-playbook.md

Commands and guidance for diagnosing issues when `pnpm install` fails during a Dependabot update. It suggests checking for peer dependency warnings versus actual installation errors and how to revert and document if real errors occur.

```bash
# Check for peer dependency warnings (usually safe to ignore)
# Check for actual installation errors
# If real errors:
git checkout -- .
# Document the failure
# Continue with next update
```

--------------------------------

### Customer Support Response Generator Few-Shot Prompt Template Configuration (JavaScript/JSON)

Source: https://github.com/the-answerai/theanswer/blob/production/packages/docs/docs/sidekick-studio/chatflows/prompts/few-shot-prompt-template.md

This configuration illustrates a few-shot prompt template for generating consistent customer support responses. It includes examples of customer queries and corresponding support agent replies, guiding the AI to respond effectively and maintain a helpful tone.

```javascript
{
  "examples": [
    {
      "query": "How do I reset my password?",
      "response": "To reset your password, please follow these steps:\n1. Go to the login page\n2. Click on 'Forgot Password'\n3. Enter your email address\n4. Follow the instructions sent to your email"
    },
    {
      "query": "What are your business hours?",
      "response": "Our customer support is available 24/7. Our physical stores are open Monday to Friday, 9 AM to 6 PM, and Saturday 10 AM to 4 PM. We are closed on Sundays and public holidays."
    }
  ],
  "examplePrompt": "Customer: {query}\n\nSupport Agent: {response}",
  "prefix": "You are a helpful customer support agent. Respond to the customer query based on the following examples:",
  "suffix": "Customer: {input}\n\nSupport Agent:",
  "exampleSeparator": "\n\n---\n\n"
}
```

--------------------------------

### Flowise Application Build

Source: https://github.com/the-answerai/theanswer/blob/production/packages/docs/docs/developers/deployment/gcp.md

Steps to clone the Flowise repository, install project dependencies using pnpm, and build the application for deployment.

```bash
git clone https://github.com/FlowiseAI/Flowise.git
cd Flowise
pnpm install
pnpm build
```

--------------------------------

### Core Authentication Flow Logic

Source: https://github.com/the-answerai/theanswer/blob/production/packages/server/AUTHORIZATION.md

Demonstrates the primary authentication flow, starting with extracting the bearer token, attempting API key verification, updating usage, and falling back to JWT validation if API key authentication fails.

```typescript
// 1. Extract authentication header
const authHeader = req.headers.authorization
if (!authHeader?.startsWith('Bearer ')) return null

// 2. Try API key authentication
const apiKey = authHeader.split(' ')[1]
const apiKeyData = await apikeyService.verifyApiKey(apiKey)

// 3. Verify active status and update usage
if (apiKeyData && apiKeyData.isActive) {
    apiKeyData.lastUsedAt = new Date()
    // Update and attach user context
}

// 4. Fallback to JWT if needed
if (!apiKeyData) {
    // JWT validation and user context
}
```

--------------------------------

### Install Flowise project dependencies

Source: https://github.com/the-answerai/theanswer/blob/production/CONTRIBUTING.md

Installs all required dependencies for the Flowise monorepository's server, UI, and components modules using pnpm.

```bash
pnpm install
```

--------------------------------

### Start Flowise with CLI Environment Variables

Source: https://github.com/the-answerai/theanswer/blob/production/CONTRIBUTING.md

Demonstrates how to start the Flowise application using the `npx` command, specifying port and debug mode via command-line environment variables. This method allows for quick testing and configuration overrides without modifying environment files.

```Shell
npx flowise start --PORT=3000 --DEBUG=true
```

--------------------------------

### Manually Install BWS Secure Environment Manager

Source: https://github.com/the-answerai/theanswer/blob/production/scripts/bws-secure/README.md

This sequence of commands allows for a manual installation of the bws-secure manager. It involves cloning the repository, removing the git history, and then running the installation script.

```bash
git clone https://github.com/last-rev-llc/bws-secure.git scripts/bws-secure
rm -rf scripts/bws-secure/.git
bash scripts/bws-secure/install.sh
```

--------------------------------

### Install Dependencies for OpenAPI Configuration Scripts

Source: https://github.com/the-answerai/theanswer/blob/production/packages/docs/devscripts/README.md

Instructions to install the necessary Node.js packages, specifically 'js-yaml', required for the OpenAPI configuration utility scripts. This step should be performed from the 'packages/docs' directory.

```bash
cd packages/docs
npm install js-yaml
# or with pnpm
pnpm add js-yaml
```

--------------------------------

### Generate SQL Query using Few-Shot Prompting

Source: https://github.com/the-answerai/theanswer/blob/production/packages/docs/docs/developers/use-cases/sql-qna.md

This prompt template is designed for a Large Language Model (LLM) to generate a SQL SELECT ALL query. It takes a database schema and a user's question as input, guiding the LLM to produce a relevant SQL query. The example provided helps the LLM understand the desired output format.

```Prompt Template
Based on the provided SQL table schema and question below, return a SQL SELECT ALL query that would answer the user's question. For example: SELECT * FROM table WHERE id = '1'.
------------
SCHEMA: {schema}
------------
QUESTION: {question}
------------
SQL QUERY:
```

--------------------------------

### Install Project Dependencies for BWS Secure Tests

Source: https://github.com/the-answerai/theanswer/blob/production/scripts/bws-secure/tests/README.md

Installs all required project dependencies using pnpm before running tests. Ensure proper authentication tokens are set in your .env file for Vercel and Netlify tests.

```bash
pnpm install
```

--------------------------------

### Customer Support Response Prompt Template and Example Values

Source: https://github.com/the-answerai/theanswer/blob/production/packages/docs/docs/sidekick-studio/chatflows/prompts/prompt-template.md

Provides a prompt template for crafting customer support responses, incorporating placeholders for company name and customer inquiry, with example JSON data.

```text
You are a customer support representative for {company_name}. Craft a polite and helpful response to the following customer inquiry:

Customer: {customer_inquiry}

Your response should address the customer's concern and provide a solution if possible. If you need more information, ask for it politely.
```

```json
{
    "company_name": "TechGadgets Inc.",
    "customer_inquiry": "I received my new smartwatch yesterday, but I can't figure out how to pair it with my phone. Can you help?"
}
```

--------------------------------

### Initialize Terraform Project

Source: https://github.com/the-answerai/theanswer/blob/production/packages/docs/docs/developers/deployment/azure.md

Prepares the Terraform working directory by downloading necessary providers and modules required for the Azure deployment, ensuring all dependencies are met.

```bash
terraform init
```

--------------------------------

### Install Node.js Dependencies for Chatflow Testing

Source: https://github.com/the-answerai/theanswer/blob/production/scripts/testing-chatflows/README.md

Use this command to install all required Node.js packages, setting up the project environment for AnswerAI chatflow testing.

```bash
npm install
```

--------------------------------

### Example Environment Variable File

Source: https://github.com/the-answerai/theanswer/blob/production/packages/docs/docs/developers/deployment/aws.md

This snippet shows an example of an environment variable file (.env) used by Copilot to inject configuration into the deployed application. It lists common variables like port, API keys, and telemetry settings.

```bash
PORT=3000
APIKEY_PATH=/path/to/api/key
SECRETKEY_PATH=/path/to/secret/key
LOG_PATH=/path/to/logs
DISABLE_FLOWISE_TELEMETRY=true
IFRAME_ORIGINS=https://example.com
MY_APP_VITE_AUTH_DOMAIN=your-auth-domain
MY_APP_VITE_AUTH_CLIENT_ID=your-auth-client-id
...
```

--------------------------------

### Confluence Query Language (CQL) Basic Syntax and Examples

Source: https://github.com/the-answerai/theanswer/blob/production/packages/docs/docs/sidekick-studio/chatflows/tools-mcp/confluence-mcp.md

Illustrates the fundamental syntax of Confluence Query Language (CQL) for searching pages, along with common field examples like space, title, label, and date filters. This syntax is used with the `search_pages` tool.

```CQL
# Basic syntax
field operator value

# Examples
space = "Engineering"
title ~ "Meeting Notes"
label = documentation
created >= 2023-01-01
```

--------------------------------

### Install AWS Copilot CLI

Source: https://github.com/the-answerai/theanswer/blob/production/packages/docs/docs/developers/deployment/aws.md

This snippet provides the command to install the AWS Copilot command-line interface on macOS using Homebrew. Copilot simplifies containerized application deployment on AWS.

```bash
brew install aws/tap/copilot-cli
```

--------------------------------

### Technical Support System Example with Retrieval QA Chain

Source: https://github.com/the-answerai/theanswer/blob/production/packages/docs/docs/sidekick-studio/chatflows/chains/retrieval-qa-chain.md

Provides a practical example of integrating the AnswerAI Retrieval QA Chain into a technical support system, showing how to query a domain-specific knowledge base for answers to user questions.

```python
import requests

API_URL = "http://localhost:3000/api/v1/prediction/<your-chatflowid>"
API_KEY = "your-api-key"

def technical_support(query):
    data = {
        "question": query,
        "overrideConfig": {
            "vectorStoreRetriever": {
                "type": "pinecone",
                "indexName": "technical-support-docs"
            }
        }
    }

    response = requests.post(API_URL, json=data, headers={
        "Authorization": f"Bearer {API_KEY}",
        "Content-Type": "application/json"
    })
    return response.json()['text']

# Usage
print(technical_support("How do I reset my router?"))
print(technical_support("What are the system requirements for the latest software update?"))
```

--------------------------------

### GitHub API Authentication

Source: https://github.com/the-answerai/theanswer/blob/production/packages/docs/docs/sidekick-studio/credentials/api-credentials.md

Authentication for GitHub. Refer to the official guide (https://docs.github.com/en/authentication/keeping-your-account-and-data-secure/managing-your-personal-access-tokens) on how to get accessToken on Github.

```APIDOC
Inputs:
  Access Token: password
```

--------------------------------

### Start Next.js Development Server

Source: https://github.com/the-answerai/theanswer/blob/production/apps/web/README.md

This command initiates the Next.js development server, making the application accessible locally. It enables hot-reloading for rapid development.

```bash
yarn dev
```

--------------------------------

### Airtable API Authentication

Source: https://github.com/the-answerai/theanswer/blob/production/packages/docs/docs/sidekick-studio/credentials/api-credentials.md

Authentication for Airtable. Refer to the official guide (https://support.airtable.com/docs/creating-and-using-api-keys-and-access-tokens) on how to get accessToken on Airtable.

```APIDOC
Inputs:
  Access Token: password
```

--------------------------------

### Slack API Authentication

Source: https://github.com/the-answerai/theanswer/blob/production/packages/docs/docs/sidekick-studio/credentials/api-credentials.md

Authentication for Slack. Refer to the official guide (https://github.com/modelcontextprotocol/servers/tree/main/src/slack) on how to get botToken and teamId on Slack.

```APIDOC
Inputs:
  Bot Token: password
  Team ID: string
```

--------------------------------

### Salesforce API Authentication

Source: https://github.com/the-answerai/theanswer/blob/production/packages/docs/docs/sidekick-studio/credentials/api-credentials.md

Authentication for Salesforce. Refer to the official guide (https://developer.salesforce.com/docs/atlas.en-us.api_analytics.meta/api_analytics/sforce_analytics_rest_api_get_started.htm) on how to get your Salesforce API key.

```APIDOC
Inputs:
  Salesforce Client ID: password
  Salesforce Client Secret: password
  Salesforce Instance: string (e.g., https://na1.salesforce.com)
```

--------------------------------

### Figma API Authentication

Source: https://github.com/the-answerai/theanswer/blob/production/packages/docs/docs/sidekick-studio/credentials/api-credentials.md

Authentication for Figma. Refer to the official guide (https://www.figma.com/developers/api#access-tokens) on how to get accessToken on Figma.

```APIDOC
Inputs:
  Access Token: password
```

--------------------------------

### Example .env Configuration File

Source: https://github.com/the-answerai/theanswer/blob/production/scripts/seed-credentials/README.md

A sample .env file illustrating typical configurations for database connection, security, and connection recovery, including placeholders for user-specific values.

```env
# Database Configuration (Primary)
DATABASE_TYPE=postgres
DATABASE_HOST=localhost
DATABASE_PORT=5432
DATABASE_USER=your_db_user
DATABASE_PASSWORD=your_db_password
DATABASE_NAME=flowise

# Database Connection Recovery (Fallback)
DATABASE_SECURE_EXTERNAL_URL=postgresql://user:pass@host.render.com/database
DATABASE_SSL=true

# Security
FLOWISE_SECRETKEY_OVERWRITE=your-secret-encryption-key
```

--------------------------------

### Install all project dependencies using PNPM

Source: https://github.com/the-answerai/theanswer/blob/production/README.md

This command uses PNPM to install all required dependencies for all modules within the TheAnswer monorepo. It ensures that all necessary packages are available for building and running the application.

```bash
pnpm install
```

--------------------------------

### Install BWS Secure Environment Manager using HTTPS

Source: https://github.com/the-answerai/theanswer/blob/production/scripts/bws-secure/README.md

This command clones the bws-secure repository via HTTPS, removes the .git directory, and then executes the installation script. This method is universally compatible.

```bash
git clone https://github.com/last-rev-llc/bws-secure.git scripts/bws-secure && rm -rf scripts/bws-secure/.git && bash scripts/bws-secure/install.sh
```

--------------------------------

### Arize API Authentication

Source: https://github.com/the-answerai/theanswer/blob/production/packages/docs/docs/sidekick-studio/credentials/api-credentials.md

Authentication for Arize observability platform. Refer to the official guide (https://docs.arize.com/arize) on how to get API keys on Arize.

```APIDOC
Inputs:
  API Key: password
  Space ID: string
  Endpoint: string (default: https://otlp.arize.com)
```

--------------------------------

### Install Project Dependencies using npm or pnpm

Source: https://github.com/the-answerai/theanswer/blob/production/scripts/seed-credentials/README.md

This bash snippet provides commands to install the necessary npm packages for the project using either 'npm' or 'pnpm'. The listed dependencies include 'typeorm', 'dotenv', and 'crypto-js', which are crucial for database ORM, environment variable loading, and encryption functionalities.

```bash
# Install required dependencies
npm install typeorm dotenv crypto-js

# Or with pnpm
pnpm install typeorm dotenv crypto-js
```

--------------------------------

### Meilisearch API Authentication

Source: https://github.com/the-answerai/theanswer/blob/production/packages/docs/docs/sidekick-studio/credentials/api-credentials.md

Provides authentication details for Meilisearch. Users should refer to the official guide (https://meilisearch.com) on how to get an API Key.

```APIDOC
Meilisearch API:
  How to obtain: Refer to official guide on how to get an API Key.
  Inputs:
    - Meilisearch Search API Key (password)
    - Meilisearch Admin API Key (password, optional)
```

--------------------------------

### Install PNPM globally using npm

Source: https://github.com/the-answerai/theanswer/blob/production/README.md

This command installs the PNPM package manager globally on your system, which is required to manage dependencies for TheAnswer project. It ensures that `pnpm` is available in your command line.

```bash
npm i -g pnpm
```

--------------------------------

### Start TheAnswer application

Source: https://github.com/the-answerai/theanswer/blob/production/README.md

This command initiates the TheAnswer application, making it accessible locally. After running this, the application should be available in your web browser at `http://localhost:3000`.

```bash
pnpm start
```

--------------------------------

### Elasticsearch API Authentication

Source: https://github.com/the-answerai/theanswer/blob/production/packages/docs/docs/sidekick-studio/credentials/api-credentials.md

Provides authentication details for Elasticsearch. Users should refer to the official guide (https://www.elastic.co/guide/en/kibana/current/api-keys.html) on how to get an API Key from Elasticsearch.

```APIDOC
Elasticsearch API:
  How to obtain: Refer to official guide on how to get an API Key from ElasticSearch.
  Inputs:
    - Elasticsearch Endpoint
    - Elasticsearch API Key (password)
```

--------------------------------

### Voyage AI API Authentication

Source: https://github.com/the-answerai/theanswer/blob/production/packages/docs/docs/sidekick-studio/credentials/api-credentials.md

Authentication for Voyage AI embedding services. Refer to the official guide (https://docs.voyageai.com/install/#authentication-with-api-keys) on how to get an API Key.

```APIDOC
Inputs:
  Voyage AI Endpoint: string (default: https://api.voyageai.com/v1/embeddings)
  Voyage AI API Key: password
```

--------------------------------

### Start Local Development Server with Yarn

Source: https://github.com/the-answerai/theanswer/blob/production/packages/docs/README.md

Initiates a local development server for the website. This command automatically opens a browser window and supports live reloading, reflecting most changes without a server restart.

```shell
$ yarn start
```

--------------------------------

### Start AnswerAI Application with pnpm

Source: https://github.com/the-answerai/theanswer/blob/production/packages/docs/docs/developers/building-node.md

Launches the AnswerAI application after a successful build using pnpm. This command initializes the server and makes the AnswerAI interface accessible, typically through a web browser. Ensure the build step is completed first.

```bash
pnpm start
```

--------------------------------

### TypeScript: Basic Parameter Validation

Source: https://github.com/the-answerai/theanswer/blob/production/AGENTS.md

Provides an example of validating required request parameters. If a parameter is missing, it throws an `InternalFlowiseError` with a `PRECONDITION_FAILED` status.

```typescript
// Always validate required parameters
if (!req.params.id) {
    throw new InternalFlowiseError(StatusCodes.PRECONDITION_FAILED, 'Error: controller.method - id not provided!')
}
```

--------------------------------

### Contentful Management API Authentication

Source: https://github.com/the-answerai/theanswer/blob/production/packages/docs/docs/sidekick-studio/credentials/api-credentials.md

Authentication for Contentful's content management. Refer to the official guide (https://www.contentful.com/developers/docs/references/content-Management-api/) on how to get your Management and preview keys in Contentful.

```APIDOC
Inputs:
  Management Token: string
  Space Id: string
```

--------------------------------

### Contentful Delivery API Authentication

Source: https://github.com/the-answerai/theanswer/blob/production/packages/docs/docs/sidekick-studio/credentials/api-credentials.md

Authentication for Contentful's content delivery. Refer to the official guide (https://www.contentful.com/developers/docs/references/content-delivery-api/) on how to get your delivery and preview keys in Contentful.

```APIDOC
Inputs:
  Delivery Token: string
  Preview Token: string
  Space Id: string
```

--------------------------------

### Run Inngest Local Development Server

Source: https://github.com/the-answerai/theanswer/blob/production/apps/web/README.md

This command starts the Inngest local development server, connecting it to the specified API endpoint. It allows for local testing and synchronization of event-driven functions.

```bash
npx inngest-cli@latest dev -u http://localhost:3000/api/inngest
```

--------------------------------

### Create Azure Container Instance for Flowise

Source: https://github.com/the-answerai/theanswer/blob/production/packages/docs/docs/developers/deployment/azure.md

Deploys a Flowise container instance on Azure, configuring its image, command line, environment variables for credentials, public IP address, exposed ports (80 and 3000), and a restart policy for failure recovery.

```bash
az container create -g flowise-rg \
    --name flowise \
    --image flowiseai/flowise \
    --command-line "/bin/sh -c 'flowise start'" \
    --environment-variables FLOWISE_USERNAME=flowise-user FLOWISE_PASSWORD=flowise-password \
    --ip-address public \
    --ports 80 3000 \
    --restart-policy OnFailure
```

--------------------------------

### YAML Configuration for Knowledge Base Creation

Source: https://github.com/the-answerai/theanswer/blob/production/packages/docs/docs/sidekick-studio/chatflows/document-loaders/google-drive.md

This configuration snippet demonstrates how to set up AnswerAI to build a searchable knowledge base. It specifies input files, PDF processing options ('One document per page'), enables text splitting, and adds custom metadata ('category': 'knowledge_base') for enhanced organization and searchability.

```yaml
Configuration:
    Files: ['Company Handbook.pdf', 'Process Documents/', 'FAQ.docx']
    PDF Usage: 'One document per page'
    Text Splitter: Enabled
    Additional Metadata: { 'category': 'knowledge_base' }

Purpose: Build searchable knowledge base from company documents
```

--------------------------------

### Confluence Server/Data Center API Authentication

Source: https://github.com/the-answerai/theanswer/blob/production/packages/docs/docs/sidekick-studio/credentials/api-credentials.md

Authentication for Confluence Server or Data Center. Refer to the official guide (https://confluence.atlassian.com/enterprise/using-personal-access-tokens-1026032365.html/) on how to get Personal Access Token on Confluence.

```APIDOC
Inputs:
  Personal Access Token: password
```

--------------------------------

### Confluence Cloud API Authentication

Source: https://github.com/the-answerai/theanswer/blob/production/packages/docs/docs/sidekick-studio/credentials/api-credentials.md

Authentication for Confluence Cloud. Refer to the official guide (https://support.atlassian.com/confluence-cloud/docs/manage-oauth-access-tokens/) on how to get Access Token or API Token (https://id.atlassian.com/manage-profile/security/api-tokens) on Confluence.

```APIDOC
Inputs:
  Access Token: password
  Username/Email: string
  Base URL: string
```

--------------------------------

### Exa Search API Authentication

Source: https://github.com/the-answerai/theanswer/blob/production/packages/docs/docs/sidekick-studio/credentials/api-credentials.md

Provides authentication details for Exa Search. Users should refer to the official guide (https://docs.exa.ai/reference/getting-started#getting-access) on how to get an API Key from Exa.

```APIDOC
Exa Search API:
  How to obtain: Refer to official guide on how to get an API Key from Exa.
  Inputs:
    - ExaSearch Api Key (password)
```

--------------------------------

### Execute Component Tests with pnpm

Source: https://github.com/the-answerai/theanswer/blob/production/packages/docs/docs/developers/running-locally.md

This bash command initiates the project's component-level test suite using pnpm. It's used to verify individual components in isolation, ensuring their correctness and behavior.

```bash
pnpm test:cmp
```

--------------------------------

### Elasticsearch User Password Authentication

Source: https://github.com/the-answerai/theanswer/blob/production/packages/docs/docs/sidekick-studio/credentials/api-credentials.md

Provides authentication details for Elasticsearch using username and password. Users should refer to the official guide (https://www.elastic.co/guide/en/elasticsearch/reference/current/setting-up-authentication.html) on how to get User Password from Elasticsearch.

```APIDOC
ElasticSearch User Password:
  How to obtain: Refer to official guide on how to get User Password from ElasticSearch.
  Inputs:
    - Cloud ID (Elastic Cloud ID or server URL)
    - ElasticSearch User
    - ElasticSearch Password
```

--------------------------------

### Retrieve SQL Database Schema and Example Rows (JavaScript)

Source: https://github.com/the-answerai/theanswer/blob/production/packages/docs/docs/developers/use-cases/sql-qna.md

This JavaScript code connects to a SingleStore database using `mysql2/promise`. It fetches the table schema and the first three rows of a specified table. The retrieved information is then formatted into a single string, combining the `CREATE TABLE` statement, a `SELECT` query, column names, and sample data, suitable for use as a prompt for a Large Language Model.

```javascript
const HOST = 'singlestore-host.com'
const USER = 'admin'
const PASSWORD = 'mypassword'
const DATABASE = 'mydb'
const TABLE = 'samples'
const mysql = require('mysql2/promise')

let sqlSchemaPrompt

function getSQLPrompt() {
    return new Promise(async (resolve, reject) => {
        try {
            const singleStoreConnection = mysql.createPool({
                host: HOST,
                user: USER,
                password: PASSWORD,
                database: DATABASE
            })

            // Get schema info
            const [schemaInfo] = await singleStoreConnection.execute(
                `SELECT * FROM INFORMATION_SCHEMA.COLUMNS WHERE table_name = "${TABLE}"`
            )

            const createColumns = []
            const columnNames = []

            for (const schemaData of schemaInfo) {
                columnNames.push(`${schemaData['COLUMN_NAME']}`)
                createColumns.push(
                    `${schemaData['COLUMN_NAME']} ${schemaData['COLUMN_TYPE']} ${schemaData['IS_NULLABLE'] === 'NO' ? 'NOT NULL' : ''}`
                )
            }

            const sqlCreateTableQuery = `CREATE TABLE samples (${createColumns.join(', ')})`
            const sqlSelectTableQuery = `SELECT * FROM samples LIMIT 3`

            // Get first 3 rows
            const [rows] = await singleStoreConnection.execute(sqlSelectTableQuery)

            const allValues = []
            for (const row of rows) {
                const rowValues = []
                for (const colName in row) {
                    rowValues.push(row[colName])
                }
                allValues.push(rowValues.join(' '))
            }

            sqlSchemaPrompt = sqlCreateTableQuery + '\n' + sqlSelectTableQuery + '\n' + columnNames.join(' ') + '\n' + allValues.join('\n')

            resolve()
        } catch (e) {
            console.error(e)
            return reject(e)
        }
    })
}

async function main() {
    await getSQLPrompt()
}

await main()

return sqlSchemaPrompt
```

--------------------------------

### Reschedule Google Calendar Event

Source: https://github.com/the-answerai/theanswer/blob/production/packages/docs/docs/sidekick-studio/chatflows/tools/google-calendar.md

Example of updating an existing Google Calendar event by changing only its start and end times using its unique Event ID. This demonstrates a partial update operation.

```APIDOC
Event ID: abc123def456
Start: 2024-01-15 16:00
End: 2024-01-15 17:00
```

--------------------------------

### Execute End-to-End Tests with pnpm

Source: https://github.com/the-answerai/theanswer/blob/production/packages/docs/docs/developers/running-locally.md

This bash command initiates the project's end-to-end test suite using pnpm. It's used to verify the complete system functionality and integration across different components.

```bash
pnpm test:e2e
```

--------------------------------

### Create Basic Google Calendar Event

Source: https://github.com/the-answerai/theanswer/blob/production/packages/docs/docs/sidekick-studio/chatflows/tools/google-calendar.md

Example of creating a new Google Calendar event with only essential details: title, start, and end times. This demonstrates the minimum required input for event creation.

```APIDOC
Title: Team Meeting
Start: 2024-01-15 14:00
End: 2024-01-15 15:00
```

--------------------------------

### Multi-tenancy Resource Filtering Example

Source: https://github.com/the-answerai/theanswer/blob/production/AGENTS.md

This snippet illustrates how resources are scoped for multi-tenancy by filtering queries based on `organizationId`. For non-admin users, an additional `userId` filter ensures access is restricted to owned resources.

```typescript
// Always filter by organization in queries
const filter = {
    organizationId: user.organizationId,
    userId: user.id // For non-admin users
}
```

--------------------------------

### Clone Application Repository

Source: https://github.com/the-answerai/theanswer/blob/production/DEPLOYMENT_COPILOT.md

Clones the specified GitHub repository for the application and navigates into its directory to prepare for deployment.

```bash
git clone https://github.com/the-answerai/theanswer
cd Flowise
```

--------------------------------

### Antonym Generator Few-Shot Prompt Template Configuration (JavaScript/JSON)

Source: https://github.com/the-answerai/theanswer/blob/production/packages/docs/docs/sidekick-studio/chatflows/prompts/few-shot-prompt-template.md

This configuration demonstrates how to set up a few-shot prompt template to generate antonyms. It provides examples of word-antonym pairs and defines the structure for the input and output, guiding the AI to produce correct antonyms.

```javascript
{
  "examples": [
    { "word": "happy", "antonym": "sad" },
    { "word": "tall", "antonym": "short" },
    { "word": "rich", "antonym": "poor" }
  ],
  "examplePrompt": "Word: {word}\nAntonym: {antonym}",
  "prefix": "Generate antonyms for the following words:",
  "suffix": "Word: {input}\nAntonym:",
  "exampleSeparator": "\n\n"
}
```

--------------------------------

### Initialize AWS Copilot Application

Source: https://github.com/the-answerai/theanswer/blob/production/packages/docs/docs/developers/deployment/aws.md

This command initializes a new AWS Copilot application within the AnswerAI project, linking it to a specified domain name. It sets up the foundational structure for Copilot deployments.

```bash
copilot app init --domain <your-domain>
```

--------------------------------

### Clone Application Repository with Git

Source: https://github.com/the-answerai/theanswer/blob/production/DEPLOYMENT.md

Clones the specified application repository from GitHub and navigates into its directory to prepare for deployment.

```bash
git clone https://github.com/the-answerai/theanswer
cd Flowise
```

--------------------------------

### Example Chat Prompt Template for Language Translation

Source: https://github.com/the-answerai/theanswer/blob/production/packages/docs/docs/sidekick-studio/chatflows/prompts/chat-prompt-template.md

Demonstrates how to configure the Chat Prompt Template node for a language translation assistant, including the system message, human message, and dynamic prompt values in JSON format. This setup instructs the AI to act as a translator.

```text
You are a helpful assistant that translates {input_language} to {output_language}.
```

```text
{text}
```

```json
{
    "input_language": "English",
    "output_language": "Spanish",
    "text": "Hello, how are you?"
}
```

--------------------------------

### Apply Terraform Deployment

Source: https://github.com/the-answerai/theanswer/blob/production/packages/docs/docs/developers/deployment/azure.md

Executes the actions outlined in the Terraform plan to create or modify Azure resources, deploying the AnswerAI App Service and Postgres database as defined in the configuration.

```bash
terraform apply
```

--------------------------------

### Pull Request Video Explanation Section Template

Source: https://github.com/the-answerai/theanswer/blob/production/packages/docs/docs/developers/video-guide.md

Markdown template for adding a video explanation section to a Pull Request description, including links and a summary.

```markdown
## Video Explanation

[YouTube Link] or [Download Link]

### Video Summary:

-   Demonstrates [functionality]
-   Explains [technical approach]
-   Shows [user impact]
-   Connects to [mission goals]
```

--------------------------------

### Define JSON Structure for LLM Output Parsing

Source: https://github.com/the-answerai/theanswer/blob/production/packages/docs/docs/sidekick-studio/chatflows/output-parsers/structured-output-parser.md

This example illustrates how to configure the JSON Structure within the Structured Output Parser node in AnswerAI. It defines two properties, 'answer' and 'source', specifying their data types and descriptions to guide the LLM in generating structured output.

```APIDOC
JSON Structure Configuration:
  - Property: "answer"
    Type: "string"
    Description: "Answer to the user's question"
  - Property: "source"
    Type: "string"
    Description: "Sources used to answer the question, should be websites"
```

--------------------------------

### Define TypeORM Entities with Consistent Patterns

Source: https://github.com/the-answerai/theanswer/blob/production/AGENTS.md

TypeORM entities define the structure of database tables, including primary keys, columns, and relationships. This example demonstrates the use of UUIDs for primary keys, multi-tenancy fields (`userId`, `organizationId`), indexing for performance, and timestamp columns for auditing.

```typescript
import { Entity, Column, CreateDateColumn, UpdateDateColumn, PrimaryGeneratedColumn, Index } from 'typeorm'
import { IResource } from '../../Interface'

@Entity()
export class Resource implements IResource {
    @PrimaryGeneratedColumn('uuid')
    id: string

    @Column()
    name: string

    @Column({ type: 'text', nullable: true })
    description?: string

    @Column({ type: 'timestamp' })
    @CreateDateColumn()
    createdDate: Date

    @Column({ type: 'timestamp' })
    @UpdateDateColumn()
    updatedDate: Date

    @Index()
    @Column({ type: 'uuid', nullable: true })
    userId?: string

    @Index()
    @Column({ type: 'uuid', nullable: true })
    organizationId?: string

    @Column({
        type: 'simple-array',
        enum: ResourceVisibility,
        default: 'Private'
    })
    visibility?: ResourceVisibility[]
}
```

--------------------------------

### Google OAuth Callback URL Environment Variable

Source: https://github.com/the-answerai/theanswer/blob/production/packages/docs/docs/developers/authorization/google-oauth.md

Example of setting the GOOGLE_CALLBACK_URL environment variable for Google OAuth integration in AnswerAI. This URL is crucial for Google to redirect users back to your application after successful authentication and must match the authorized redirect URI configured in the Google Cloud Console.

```shell
# GOOGLE_CALLBACK_URL=https://yourdomain.com/api/v1/callback/googleoauth
```

--------------------------------

### Initialize AWS Copilot Application

Source: https://github.com/the-answerai/theanswer/blob/production/DEPLOYMENT_COPILOT.md

Initializes a new AWS Copilot application, setting up the application's domain structure for future environments.

```bash
copilot app init --domain ${env}.flowise.theanswer.ai
```

--------------------------------

### Testing Dependabot Updates with pnpm

Source: https://github.com/the-answerai/theanswer/blob/production/scripts/dependabot-progress-EXAMPLE.md

This snippet provides the shell commands used to validate Dependabot updates. It includes commands for installing dependencies and building the project, as well as a command for resolving lockfile conflicts by regenerating the lockfile after manual package.json updates.

```Shell
pnpm install && pnpm build
```

```Shell
pnpm install
```

--------------------------------

### Start Flowise server

Source: https://github.com/the-answerai/theanswer/blob/production/packages/server/README.md

Command to start the Flowise server locally. Once started, the application is typically accessible via a web browser at http://localhost:3000.

```bash
npx flowise start
```

--------------------------------

### Express.js RESTful API Route Definition (TypeScript)

Source: https://github.com/the-answerai/theanswer/blob/production/AGENTS.md

Shows the standard pattern for defining RESTful API routes in TheAnswer's `packages/server` using Express.js. Routes utilize authentication middleware (`enforceAbility`) and define standard CRUD operations (POST, GET, PUT, DELETE) for a given resource. This ensures consistent API design and security.

```typescript
// packages/server/src/routes/resource/index.ts
import express from 'express'
import resourceController from '../../controllers/resource'
import enforceAbility from '../../middlewares/authentication/enforceAbility'

const router = express.Router()

// CREATE
router.post('/', enforceAbility('Resource'), resourceController.createResource)

// READ
router.get('/', enforceAbility('Resource'), resourceController.getAllResources)
router.get('/:id', enforceAbility('Resource'), resourceController.getResourceById)

// UPDATE
router.put('/:id', enforceAbility('Resource'), resourceController.updateResource)

// DELETE
router.delete('/:id', enforceAbility('Resource'), resourceController.deleteResource)

export default router
```

--------------------------------

### Manually Run OpenAPI Documentation Sync Script

Source: https://github.com/the-answerai/theanswer/blob/production/scripts/README.md

This snippet provides instructions for manually initiating the OpenAPI documentation synchronization process. It involves changing the current directory to the scripts folder, installing Node.js package dependencies, and then executing the script via an npm run command.

```bash
cd scripts
npm install
npm run sync-openapi
```

--------------------------------

### Start Node Component Overview

Source: https://github.com/the-answerai/theanswer/blob/production/packages/docs/docs/sidekick-studio/agentflows/sequential-agents/start-node.md

Defines the core functionalities, inputs, and outputs of the Start Node within the Sequential Agent architecture, serving as the entry point for all workflows.

```APIDOC
Start Node:
  Description: The entry point for all workflows in the Sequential Agent architecture. Receives initial user query, initializes conversation State, and sets the flow in motion.
  Core Functionalities:
    - Defining the default LLM: Specifies a Chat Model (LLM) compatible with function calling.
    - Initializing Memory: Optionally connects an Agent Memory Node for conversation history.
    - Setting a custom State: Allows connecting a State Node for additional workflow-relevant information.
    - Enabling moderation: Optionally connects Input Moderation to prevent harmful content.

  Inputs:
    - Chat Model:
        Required: Yes
        Description: The default LLM that will power the conversation. Only compatible with models capable of function calling.
    - Agent Memory Node:
        Required: No
        Description: Connects to enable persistence and context preservation.
    - State Node:
        Required: No
        Description: Connects to set a custom State, a shared context accessible and modifiable by other nodes.
    - Input Moderation:
        Required: No
        Description: Connects a Moderation Node to filter content by detecting text that could generate harmful output.

  Outputs:
    - Agent Node: Routes conversation flow to an Agent Node for action execution or tool access.
    - LLM Node: Routes conversation flow to an LLM Node for processing and response generation.
    - Condition Agent Node: Connects to implement branching logic based on agent's evaluation.
    - Condition Node: Connects to implement branching logic based on predefined conditions.
```

--------------------------------

### Requests Get Tool API Reference

Source: https://github.com/the-answerai/theanswer/blob/production/packages/docs/docs/sidekick-studio/chatflows/tools/request-get.md

Defines the parameters and usage for the Requests Get tool within AnswerAI workflows, allowing agents to interact with external APIs.

```APIDOC
Requests Get Tool:
  Description: Executes HTTP GET requests within AnswerAI workflows.
  Parameters:
    - name: URL
      type: string
      optional: true
      description: The exact URL to which the agent will make the GET request.
    - name: Description
      type: string
      optional: true
      description: A prompt to guide the agent on when to use this tool.
    - name: Headers
      type: object (key-value pairs)
      optional: true
      description: Any additional headers required for the GET request (e.g., authentication tokens).
```