mirror of https://github.com/0xplaygrounds/rig
212 lines
6.3 KiB
Rust
212 lines
6.3 KiB
Rust
use std::env;
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use rig::{
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agent::AgentBuilder,
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completion::{Prompt, ToolDefinition},
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loaders::FileLoader,
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providers,
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tool::Tool,
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};
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use serde::{Deserialize, Serialize};
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use serde_json::json;
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/// Runs 4 agents based on deepseek R1 (derived from the other examples)
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#[tokio::main]
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async fn main() -> Result<(), anyhow::Error> {
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println!("Running basic agent with deepseek R1");
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basic().await?;
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println!("\nRunning deepseek R1 agent with tools");
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tools().await?;
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println!("\nRunning deepseek R1 agent with loaders");
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loaders().await?;
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println!("\nRunning deepseek R1 agent with context");
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context().await?;
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println!("\n\nAll agents ran successfully");
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Ok(())
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}
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fn client() -> providers::huggingface::Client {
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let api_key = &env::var("HUGGINGFACE_API_KEY").expect("HUGGINGFACE_API_KEY not set");
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providers::huggingface::ClientBuilder::new(&api_key).build()
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}
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/// Create a partial huggingface agent (deepseek R1)
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fn partial_agent() -> AgentBuilder<providers::huggingface::completion::CompletionModel> {
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let client = client();
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client.agent("deepseek-ai/DeepSeek-R1-Distill-Qwen-32B")
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}
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/// Create an huggingface agent (deepseek R1) with a preamble
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/// Based upon the `agent` example
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///
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/// This example creates a comedian agent with a preamble
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async fn basic() -> Result<(), anyhow::Error> {
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let comedian_agent = partial_agent()
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.preamble("You are a comedian here to entertain the user using humour and jokes.")
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.build();
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// Prompt the agent and print the response
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let response = comedian_agent.prompt("Entertain me!").await?;
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println!("{}", response);
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Ok(())
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}
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/// Create an huggingface agent (deepseek R1) with tools
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/// Based upon the `tools` example
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///
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/// This example creates a calculator agent with two tools: add and subtract
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async fn tools() -> Result<(), anyhow::Error> {
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// Create agent with a single context prompt and two tools
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let calculator_agent = partial_agent()
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.preamble("You are a calculator here to help the user perform arithmetic operations. Use the tools provided to answer the user's question.")
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.max_tokens(1024)
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.tool(Adder)
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.tool(Subtract)
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.build();
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// Prompt the agent and print the response
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println!("Calculate 2 - 5");
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println!(
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"Calculator Agent: {}",
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calculator_agent.prompt("Calculate 2 - 5").await?
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);
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Ok(())
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}
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/// Create an huggingface agent (deepseek R1) with loaders
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/// Based upon the `loaders` example
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///
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/// This example loads in all the rust examples from the rig-core crate and uses them as\\
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/// context for the agent
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async fn loaders() -> Result<(), anyhow::Error> {
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let model = client().completion_model("deepseek-ai/DeepSeek-R1-Distill-Qwen-32B");
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// Load in all the rust examples
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let examples = FileLoader::with_glob("rig-core/examples/*.rs")?
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.read_with_path()
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.ignore_errors()
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.into_iter()
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.step_by(2);
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// Create an agent with multiple context documents
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let agent = examples
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.fold(AgentBuilder::new(model), |builder, (path, content)| {
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builder.context(format!("Rust Example {:?}:\n{}", path, content).as_str())
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})
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.build();
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// Prompt the agent and print the response
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let response = agent
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.prompt("Which rust example is best suited for the operation 1 + 2")
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.await?;
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println!("{}", response);
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Ok(())
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}
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async fn context() -> Result<(), anyhow::Error> {
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let model = client().completion_model("deepseek-ai/DeepSeek-R1-Distill-Qwen-32B");
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// Create an agent with multiple context documents
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let agent = AgentBuilder::new(model)
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.context("Definition of a *flurbo*: A flurbo is a green alien that lives on cold planets")
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.context("Definition of a *glarb-glarb*: A glarb-glarb is an ancient tool used by the ancestors of the inhabitants of planet Jiro to farm the land.")
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.context("Definition of a *linglingdong*: A term used by inhabitants of the far side of the moon to describe humans.")
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.build();
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// Prompt the agent and print the response
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let response = agent.prompt("What does \"glarb-glarb\" mean?").await?;
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println!("{}", response);
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Ok(())
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}
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#[derive(Deserialize)]
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struct OperationArgs {
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x: i32,
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y: i32,
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}
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#[derive(Debug, thiserror::Error)]
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#[error("Math error")]
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struct MathError;
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#[derive(Deserialize, Serialize)]
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struct Adder;
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impl Tool for Adder {
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const NAME: &'static str = "add";
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type Error = MathError;
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type Args = OperationArgs;
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type Output = i32;
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async fn definition(&self, _prompt: String) -> ToolDefinition {
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ToolDefinition {
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name: "add".to_string(),
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description: "Add x and y together".to_string(),
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parameters: json!({
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"type": "object",
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"properties": {
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"x": {
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"type": "number",
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"description": "The first number to add"
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},
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"y": {
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"type": "number",
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"description": "The second number to add"
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}
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}
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}),
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}
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}
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async fn call(&self, args: Self::Args) -> Result<Self::Output, Self::Error> {
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let result = args.x + args.y;
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Ok(result)
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}
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}
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#[derive(Deserialize, Serialize)]
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struct Subtract;
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impl Tool for Subtract {
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const NAME: &'static str = "subtract";
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type Error = MathError;
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type Args = OperationArgs;
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type Output = i32;
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async fn definition(&self, _prompt: String) -> ToolDefinition {
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serde_json::from_value(json!({
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"name": "subtract",
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"description": "Subtract y from x (i.e.: x - y)",
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"parameters": {
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"type": "object",
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"properties": {
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"x": {
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"type": "number",
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"description": "The number to subtract from"
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},
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"y": {
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"type": "number",
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"description": "The number to subtract"
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}
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}
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}
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}))
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.expect("Tool Definition")
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}
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async fn call(&self, args: Self::Args) -> Result<Self::Output, Self::Error> {
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let result = args.x - args.y;
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Ok(result)
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}
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}
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