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Documentation Index

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Extend your agents with powerful integrations to external systems, databases, and APIs through Airia’s comprehensive Tools ecosystem.

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What Are Tools?

Tools enable your agents to interact with external systems and perform actions beyond text generation. With 162+ available tool types, Tools bridge the gap between AI models and enterprise systems, allowing agents to:
  • Query databases and data warehouses (MongoDB, PostgreSQL, Snowflake, DataBricks)
  • Integrate with enterprise applications (Microsoft 365, Google Workspace, Salesforce, Atlassian)
  • Connect with development platforms (GitHub, Supabase, LaunchDarkly, Pinecone)
  • Perform web research and content analysis
  • Execute custom API calls with dynamic parameters
  • Create and update tools programmatically via ToolCreator and ToolUpdater
  • Connect to external Model Context Protocol (MCP) servers
  • Manage authentication with 135+ credential types

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Supported Model Providers

Tools are compatible with all major LLM providers:
  • OpenAI (GPT-3.5, GPT-4, GPT-4 Turbo)
  • Azure OpenAI (Enterprise deployment)
  • Anthropic (Claude family)
  • AWS Bedrock (Multi-model support)
  • Google Gemini (Gemini Pro, Gemini Ultra)
  • Mistral (Mistral Large, Mistral Medium)

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Tool Categories

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Database & Analytics Tools

Connect to enterprise data sources with optimized query and metadata capabilities:
  • SQL Databases: PostgreSQL, MS SQL Server, MySQL with full query support
  • NoSQL Databases: MongoDB with Find, Aggregate, and Metadata operations
  • Cloud Data Warehouses: Snowflake, DataBricks for advanced analytics
  • Modern Database Platforms: Supabase for real-time applications
  • Vector Databases: Pinecone for AI/ML workloads

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Enterprise Application Tools

Integrate with business-critical systems:
  • Microsoft Ecosystem: Teams, Outlook, OneDrive, SharePoint with MCP support
  • Google Workspace: Gmail, Drive, Calendar, Docs, Sheets, Slides
  • Atlassian Suite: JIRA (issue management), Confluence (content search)
  • CRM Systems: Salesforce with SOQL queries, HubSpot for marketing automation
  • Service Management: ServiceNow for incident and request management
  • Productivity: Asana, Slack for team collaboration
  • Development: GitHub integration via MCP for code management

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Web & Content Tools

Access and analyze web content with comprehensive search capabilities:
  • Search Engines: Google Search, Brave Search, Exa for web research
  • Academic & Research: ArXiv for scientific papers, Wolfram Alpha for computational queries
  • Social & Media: Reddit discussions, YouTube content analysis, X (Twitter) monitoring
  • Financial Data: Alpha Vantage, FRED, SEC for market and economic data
  • Web Scraping: Custom web content extraction and analysis

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Airia Components

Specialized tools for advanced agent capabilities:
  • Memory Objects: Persistent storage and retrieval
  • Document Generation: Automated report and document creation
  • Agent-to-Agent: Inter-agent communication
  • AI/ML Tools: OpenAI DALL-E for image generation, advanced AI integrations

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Tool Library vs. Custom Tools

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Pre-Built Tool Library

Access 162+ ready-to-use Tools:
  • Enterprise-grade authentication (OAuth, API keys, certificates)
  • Optimized performance for common use cases
  • Maintained and updated by Airia
  • Instant deployment - add to agents in seconds

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Custom Tool Creation

For unique requirements, create custom tools with:
  • Visual Tool Builder: React-based interface for creating custom tools
  • Flexible API Integration: Full REST API support with POST, GET, PUT, PATCH methods
  • Dynamic Authentication: Integration with all 135+ credential types
  • Advanced Parameter System: Dot notation support (headers.Content-Type, jsonBody.name)
  • Real-time Testing: Test tools immediately after creation
  • MCP Server Integration: Connect to external Model Context Protocol servers
  • Programmatic Tool Management: ToolCreator and ToolUpdater for AI-driven tool creation

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Authentication & Security

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Supported Authentication Methods (135+ Credential Types)

  • OAuth 2.0: Google, Microsoft, X (Twitter), Salesforce, Atlassian, Slack, Dropbox, Box
  • API Keys & Bearer Tokens: Custom API keys, service-specific tokens
  • Basic Authentication: Username/password for enterprise systems
  • Header Authentication: Custom header-based auth for specialized APIs
  • Query Parameter Auth: API keys passed as URL parameters
  • Service Accounts: Google Service Accounts, specialized database connections
  • MCP Headers: Authentication for Model Context Protocol integrations
Authentication Modes:
  • Credentials Mode: Shared service account credentials managed by administrators
  • End-User Mode: Individual user authentication with bring-your-own OAuth capability
Authentication is supported through Airia’s secure credential storage with enterprise-grade security for handling secrets and supports both shared and individual user credential management.

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Getting Started

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Add a Pre-Built Tool

  1. Navigate to Tools in your project navigation
  2. Click Add Tool from the library
  3. Select your desired integration
  4. Configure authentication credentials
  5. Add to your agent via the Agent Canvas

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Create a Custom Tool

  1. Go to Tools → Create New Tool
  2. Define tool Name and Description
  3. Configure API Endpoint and Parameters
  4. Set up Authentication method
  5. Test the configuration
  6. Save to your tool library

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Best Practices

💡 Naming Convention: Use clear, descriptive names like “Company CRM - Customer Lookup” instead of generic names.
💡 Authentication Security: Use environment-specific credentials and rotate API keys regularly.
💡 Error Handling: Include fallback behaviors and clear error messages for failed API calls.

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Adding Tools to Agents

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Via Agent Canvas

  1. Open your agent in Agent Canvas
  2. Click the LLM model block to open the sidebar
  3. Select Add Tool from your library
  4. Configure tool-specific parameters
  5. Save the agent configuration
The tool will appear in the model’s footer and be available for use.

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Tool Variables

Use Agent Variables to make tools dynamic: 
Database Query: SELECT * FROM {{table_name}} WHERE date > '{{start_date}}'

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Testing and Validation

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Playground Testing

Test tools in the agent playground by:
  1. Deploy your agent with tools enabled
  2. Send queries that trigger tool usage
  3. Monitor responses for accuracy and performance
  4. Iterate on tool configuration as needed
Tools work with both streaming and non-streaming response modes.

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Common Test Scenarios

  • Database Tools: “Show me sales data for Q4 2024”
  • Web Tools: “Find recent news about our competitor”
  • Enterprise Tools: “Check my calendar for tomorrow’s meetings”
  • Custom APIs: “Get the latest inventory levels from our warehouse system”

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Advanced Features

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Tool Chaining

Combine multiple tools in complex workflows:
  1. Data Retrieval → Database query for customer info
  2. Data Enhancement → Web search for company details
  3. Action Execution → Update CRM with enriched data

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Scheduled Execution

Set up automated tool execution for:
  • Metadata Refresh: Keep database schemas current
  • Data Synchronization: Regular system updates
  • Monitoring: Automated health checks

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What’s Next?