> ## Documentation Index > Fetch the complete documentation index at: https://docs.freyavoice.ai/llms.txt > Use this file to discover all available pages before exploring further. # Agents > Comprehensive guide to creating, configuring, and optimizing AI agents in Freyavoice AI ## Understanding Agents Agents are intelligent voice assistants powered by advanced AI models. They are the core component that handles conversations, understands user intent, and executes actions during phone calls. ## Agent Components ### System Prompt The system prompt is the most critical component of an agent. It defines: **Personality and Tone**: How the agent speaks and interacts with users. Should it be formal or casual? Friendly or professional? **Capabilities**: What the agent can and cannot do. Clearly define the agent's purpose and limitations. **Instructions**: Step-by-step instructions for handling different scenarios, edge cases, and error conditions. **Context**: Information about your business, products, services, or domain that the agent needs to know. **Best Practices**: Guidelines for the agent to follow, such as always confirming important information or asking clarifying questions when needed. ### Model Configuration **Model Selection**: Choose the AI model that best fits your needs: * **GPT-4**: Best for complex reasoning, nuanced conversations, and handling edge cases * **Claude**: Excellent for long context windows and detailed analysis * **GPT-3.5**: Good balance of cost and performance for simpler use cases **Temperature**: Controls the randomness of responses. Lower values (0.1-0.3) produce more focused, deterministic responses. Higher values (0.7-1.0) produce more creative, varied responses. **Max Tokens**: Limit the maximum response length. This helps control costs and ensures responses stay concise. **Context Window**: Manage how much conversation history the agent remembers. Longer context allows for better continuity but increases costs. ### Voice Configuration **Voice Provider**: Choose a voice provider (ElevenLabs, etc.) that matches your quality and cost requirements. **Voice Selection**: Select a specific voice that matches your brand. Consider factors like gender, age, accent, and tone. **Speaking Speed**: Adjust how fast the agent speaks. Slower speeds are better for complex information, faster for simple confirmations. **Voice Stability**: Control how consistent the voice sounds. Higher stability means less variation in tone and delivery. ### Functions Functions allow agents to interact with external systems and perform actions: **Function Definition**: Define what the function does, what parameters it accepts, and what it returns. **API Integration**: Connect to external APIs to fetch data, update systems, or trigger actions. **Error Handling**: Define how the agent should handle function failures or errors. **Function Chaining**: Some functions can call other functions, enabling complex workflows within a single agent. ## Agent Lifecycle ### Creation When creating an agent: 1. **Define Purpose**: Clearly define what the agent is meant to do 2. **Choose Model**: Select the appropriate AI model 3. **Write Prompt**: Craft a detailed system prompt 4. **Configure Voice**: Select voice settings 5. **Add Functions**: Define any required functions 6. **Test**: Test the agent thoroughly before deployment ### Configuration Ongoing configuration includes: **Prompt Refinement**: Continuously improve the system prompt based on real conversations and feedback. **Function Updates**: Add, modify, or remove functions as your needs evolve. **Voice Tuning**: Adjust voice settings to optimize for your use case. **Model Optimization**: Experiment with different models and settings to find the best balance of quality and cost. ### Deployment Before deploying an agent: 1. **Test in Simulation**: Use the simulation feature to test thoroughly 2. **Review Prompt**: Ensure the prompt is clear and complete 3. **Check Functions**: Verify all functions work correctly 4. **Test Voice**: Listen to how the agent sounds 5. **Monitor First Calls**: Closely monitor the first real calls ### Monitoring and Optimization **Review Conversations**: Regularly review call transcripts to identify areas for improvement. **Analyze Metrics**: Track success rates, user satisfaction, and goal achievement. **Iterate Prompt**: Use AI Studio to quickly iterate on prompts based on real data. **Optimize Costs**: Monitor token usage and costs, optimize prompts to reduce unnecessary tokens. ## Advanced Agent Features ### Context Management **Conversation History**: Agents maintain context throughout a conversation, remembering previous exchanges. **Context Limits**: Be aware of context window limits. Very long conversations may exceed limits. **Context Strategy**: Choose how to manage context - append new messages, summarize old ones, or use sliding windows. ### Multi-Turn Conversations **State Management**: Agents can maintain state across multiple conversation turns. **Goal Tracking**: Agents can track conversation goals and work toward completing them. **Clarification**: Agents can ask clarifying questions when information is unclear. ### Error Handling **Graceful Degradation**: Agents should handle errors gracefully, providing helpful messages rather than technical errors. **Fallback Strategies**: Define fallback behaviors when functions fail or errors occur. **User Communication**: Clearly communicate errors to users in a helpful, non-technical way. ## Agent Best Practices ### Prompt Engineering **Be Specific**: Vague prompts lead to unpredictable behavior. Be as specific as possible about desired behavior. **Provide Examples**: Include examples of good interactions in your prompt. **Set Boundaries**: Clearly define what the agent should and shouldn't do. **Test Iteratively**: Continuously test and refine prompts based on real conversations. ### Function Design **Keep Functions Focused**: Each function should do one thing well. **Validate Inputs**: Always validate function inputs before processing. **Handle Errors**: Functions should return clear error information. **Document Functions**: Clearly document what each function does and how to use it. ### Voice Optimization **Match Brand**: Choose voices that match your brand identity. **Test Quality**: Always test voice quality on actual phone calls, not just in the dashboard. **Optimize Speed**: Adjust speaking speed based on content complexity and audience. ## Next Steps Learn how to build complex call routing and processing with workflows.