> ## Documentation Index
> Fetch the complete documentation index at: https://docs.streampod.io/llms.txt
> Use this file to discover all available pages before exploring further.

# Pods

> Orchestrate Complex Agentic Workflows

Pods are a set of agentic workflows triggered by using the `/pod` command within Discord. Follow these steps to get started:

1. **Join a Discord Server**: Ensure you are a member of a Discord server where the bot is installed.
2. **Use the `/pod` Command**: In any text channel, type `/pod` followed by a prompt you want the agents to work. For example, `/pod prompt: Make a Table of Sakura Season in past 10 years in Tokyo and add Future Projections` to initiate a agent run.
3. **Follow Prompts**: The bot will guide you through the necessary steps to complete the agent run. Follow the prompts and provide any required information.
4. **Complete the agent Run**: Once all steps are completed, the bot will confirm the successful execution of the agent run.

## Getting Started

StreamPod Agent is Discord bot for interacting with AI agents and models through natural language prompts. Supports model switching, agent type selection, and provides detailed execution metrics.

## Overview

* **Commands**: `/pod`, `/setmodel`, `/listmodels`, `/setagent`, `/listagents`
* **Agents**: `CodeAgent`, `ToolCallingAgent`
* **Models**: Multiple AWS Bedrock models including Meta Llama 3 variants and Claude 3 models
* **Features**:
  * Dynamic model/agent switching
  * Response formatting with code blocks
  * Execution metrics (tokens, duration, costs)
  * Autocomplete for models/agents

# Commands

`/pod [prompt]`

Submit a prompt to the active AI agent.

Parameters:

prompt: Your query/instruction
Response Features:

`/setmodel [model_id]`

Switch the active AI model (autocomplete supported).

Example:

`/setmodel model_id: bedrock/anthropic.claude-3-haiku-20240307-v1:0`

`/listmodels`

Show all available models.

`/setagent [agent_type]`

Switch agent type (autocomplete supported).

`/listagents`

Show available agent types.

Configuration

```bash theme={null}
AVAILABLE_MODELS = [
    "bedrock/us.meta.llama3-2-1b-instruct-v1:0",
    "bedrock/us.meta.llama3-2-3b-instruct-v1:0",
    "bedrock/us.meta.llama3-2-11b-instruct-v1:0",
    "bedrock/us.meta.llama3-3-70b-instruct-v1:0",
    "bedrock/amazon.nova-micro-v1:0",
    "bedrock/amazon.nova-lite-v1:0",
    "bedrock/amazon.nova-pro-v1:0",
    "bedrock/anthropic.claude-3-haiku-20240307-v1:0",
    "bedrock/anthropic.claude-3-5-sonnet-20241022-v2:0"
]
```

# Agent Types

```bash theme={null}
AVAILABLE_AGENTS = ["CodeAgent", "ToolCallingAgent"]
```

## Best Practices

1. Use code blocks in prompts for technical questions
2. Monitor token usage with `/pod` metrics
3. Test different agent types for complex tasks
4. Use model autocomplete (type partial model names)
5. Check execution logs for troubleshooting