v0.1.0 — Daimon initial release

Daimon v0.1.0

Initial release of the Daimon agent framework — a Rust-native AI agent framework for building LLM-powered agents with tool use, memory, and streaming.

Highlights

• Core ReAct agent loop with streaming, parallel tool execution, cancellation, and usage tracking
• Five model providers (all feature-gated):
  • OpenAI (openai, default) — Chat Completions API, SSE streaming, response_format, parallel_tool_calls
  • Anthropic (anthropic, default) — Messages API, streaming, prompt caching
  • Google Gemini (gemini) — Generative Language REST API, Vertex AI support
  • Azure OpenAI (azure) — Azure deployments, API key + Entra ID auth
  • AWS Bedrock (bedrock) — Converse/ConverseStream API, guardrails
• Tool system with ToolRegistry, parallel execution via JoinSet, typed outputs
• Memory with SlidingWindowMemory and pluggable Memory trait
• Lifecycle hooks via AgentHook for observability and control
• Streaming with granular StreamEvent types
• Observability via tracing::instrument on all agent and provider methods

Getting Started

[dependencies]
daimon = "0.1.0"

use daimon::prelude::*;

#[tokio::main]
async fn main() -> daimon::Result<()> {
    let agent = Agent::builder()
        .model(daimon::model::openai::OpenAi::new("gpt-4o"))
        .system_prompt("You are a helpful assistant.")
        .build()?;

    let response = agent.prompt("What is Rust?").await?;
    println!("{}", response.text());
    Ok(())
}

See the README and CHANGELOG for full details.