Mixtape

An agentic AI framework for Rust.

Quick Start

use mixtape_core::{Agent, ClaudeHaiku4_5, Result};

#[tokio::main]
async fn main() -> Result<()> {
    let agent = Agent::builder()
        .bedrock(ClaudeHaiku4_5) // Leverages AWS environment credentials
        .with_system_prompt("You are a pirate. Always respond in pirate speak.")
        .build()
        .await?;

    let response = agent.run("What is the capital of France?").await?;
    println!("{}", response);
    Ok(())
}

Run with cargo run --example hello_world --features bedrock.

Cargo Features

Enable only what you need. All agents need mixtape-core with one of the provider features enabled ("bedrock", or "anthropic"). Add mixtape-tools to leverage foundational agentic tools.

# In your Cargo.toml

[dependencies]
mixtape-core = { version = "0.3", features = ["bedrock"] }

Add mcp for MCP server integration, session for conversation persistence.

Workspace Crates

This repository contains five crates:

Most projects need only mixtape-core. Add mixtape-tools for ready-to-use tools.

Tools Defined in Idiomatic Rust

Define tools with Rust types. Agent tool schemas generate automatically.

use mixtape_core::{Tool, ToolResult, ToolError};
use schemars::JsonSchema;
use serde::{Deserialize, Serialize};

#[derive(Deserialize, Serialize, JsonSchema)]
struct WeatherInput {
    /// City name to get weather for
    city: String,
}

struct WeatherTool;

impl Tool for WeatherTool {
    type Input = WeatherInput;

    fn name(&self) -> &str { "get_weather" }
    fn description(&self) -> &str { "Get current weather for a city" }

    async fn execute(&self, input: Self::Input) -> Result<ToolResult, ToolError> {
        // Hard-coded for demo simplicity. In real life your weather API retrieval code would be here.
        Ok(format!("Weather in {}: sunny", input.city).into())
    }
}

Doc comments on fields become descriptions in the JSON schema. The model sees these when deciding how to call your tool.

See weather_tool.rs for a complete example.

Tool Results

Tools return ToolResult, which supports several content types:

// Text - strings convert automatically
Ok("Success".into())
Ok(ToolResult::text("Done"))

// JSON - for structured data
ToolResult::json(my_struct)?

// Images - for multimodal models
ToolResult::image(ImageFormat::Png, bytes)

// Documents - PDFs, spreadsheets, etc.
ToolResult::document(DocumentFormat::Pdf, bytes)
ToolResult::document_with_name(DocumentFormat::Csv, bytes, "report.csv")

Parallel Execution

When the model requests multiple tools, they run concurrently:

let agent = Agent::builder()
    .bedrock(ClaudeSonnet4_5)
    .with_max_concurrent_tools(10)
    .build()
    .await?;

Conversations

The agent maintains conversation history in memory:

let agent = Agent::builder()
    .bedrock(ClaudeSonnet4_5)
    .build()
    .await?;

agent.run("My name is Alice").await?;
agent.run("What's my name?").await?;  // Remembers "Alice"

let usage = agent.get_context_usage();
println!("{}% of context used", usage.usage_percentage * 100.0);

The default SlidingWindowConversationManager is token-aware. It keeps recent messages that fit within the model's context limit, dropping older ones as needed.

Context lives in memory and disappears when the process exits. For persistence, use a session store.

Session Persistence

Save conversations to SQLite (requires session feature and mixtape-cli crate):

[dependencies]
mixtape = { version = "0.3", features = ["session"] }
mixtape-cli = "0.3"

use mixtape_cli::SqliteStore;

let store = SqliteStore::default_location()?;
let agent = Agent::builder()
    .bedrock(ClaudeSonnet4_5)
    .with_session_store(store)
    .build()
    .await?;

Streaming

Receive tokens as they arrive:

use mixtape_core::AgentEvent;

agent.add_hook(|event: &AgentEvent| {
    if let AgentEvent::ModelCallStreaming { delta, .. } = event {
        print!("{}", delta);
    }
});

See streaming.rs.

Context Files

Load context from files into the system prompt at runtime:

let agent = Agent::builder()
    .bedrock(ClaudeSonnet4_5)
    .with_system_prompt("You are a helpful assistant.")
    .add_optional_context_file("AGENTS.md")           // Optional - skipped if missing
    .add_context_file("~/.config/myagent/rules.md")   // Required - errors if missing
    .add_context_files_glob("$CWD/.context/*.md")     // Glob pattern
    .build()
    .await?;

Context files are resolved at runtime on each run() call. Path variables:

• ~ or $HOME - user's home directory
• $CWD - current working directory

Inspect loaded context after a run:

if let Some(ctx) = agent.last_context_info() {
    println!("Loaded {} files ({} bytes)", ctx.files.len(), ctx.total_bytes);
}

MCP Client

Connect to Model Context Protocol servers (requires mcp feature):

use mixtape_core::mcp::{McpServerConfig, McpTransport};

let agent = Agent::builder()
    .bedrock(ClaudeSonnet4_5)
    .with_mcp_server(McpServerConfig::new(
        "filesystem",
        McpTransport::stdio("npx")
            .args(["-y", "@modelcontextprotocol/server-filesystem"])
        ))
    .with_mcp_server(McpServerConfig::new(
        "gitmcp",
        McpTransport::http("https://gitmcp.io/owner/repo")
    ))
    .build()
    .await?;

Load from Claude Desktop/Code config files:

let agent = Agent::builder()
    .bedrock(ClaudeSonnet4_5)
    .with_mcp_config_file("~/.claude.json")
    .build()
    .await?;

Hierarchical Agents

Wrap agents as tools to create orchestrator patterns:

struct SpecialistTool {
    agent: Agent,
}

impl Tool for SpecialistTool {
    // ...
    async fn execute(&self, input: Self::Input) -> Result<ToolResult, ToolError> {
        self.agent.run(&input.query).await
            .map(ToolResult::text)
            .map_err(ToolError::Custom)
    }
}

See hierarchical_agents.rs.

Tool Permissions

Control which tools require user approval:

use mixtape_core::MemoryGrantStore;

// Create store and pre-approve safe tools
let store = MemoryGrantStore::new();
store.grant_tool("read_file").await?;  // Trust entire tool

let agent = Agent::builder()
    .bedrock(ClaudeSonnet4_5)
    .with_grant_store(store)
    .build()
    .await?;

Grant entire tool groups for convenience:

use mixtape_core::MemoryGrantStore;
use mixtape_tools::read_only_filesystem_tools;

let store = MemoryGrantStore::new();

// Trust all read-only filesystem operations
for tool in read_only_filesystem_tools() {
    store.grant_tool(tool.name()).await?;
}

let agent = Agent::builder()
    .bedrock(ClaudeSonnet4_5)
    .add_tools(read_only_filesystem_tools())
    .with_grant_store(store)
    .build()
    .await?;

Tools without a matching grant emit PermissionRequired events. See permissions.rs.

Models

Mixtape supports models through AWS Bedrock or Anthropic's API:

// AWS Bedrock (requires "bedrock" feature)
Agent::builder().bedrock(ClaudeSonnet4_5).build().await?;
Agent::builder().bedrock(NovaPro).build().await?;

// Anthropic API (requires "anthropic" feature)
Agent::builder().anthropic(ClaudeSonnet4_5, api_key).build().await?;

Bedrock supports Claude, Nova, Mistral, Llama, Cohere, DeepSeek, Qwen, Gemma, Kimi, and others.

Examples

Run any example:

cargo run --example hello_world --features bedrock
cargo run --example weather_tool --features bedrock
cargo run --example interactive_mcp_agent --features bedrock,mcp,session

Requirements

For bedrock feature:

• AWS credentials configured
• Access to AWS Bedrock with your chosen models

For anthropic feature:

• ANTHROPIC_API_KEY environment variable

Development

make test      # Run tests
make coverage  # Coverage report
make lint      # Run clippy
make fmt       # Format code
make help      # Show all targets