impl Engineer for ByQuexo {
    const ROLE:  &str = "Software Engineer @ ilert";
    const FOCUS: &str = "wiring LLMs into alert & incident response";

    fn stack(&self) -> Stack {
        Stack {
            languages: vec![Rust, TypeScript, Python],
            ml:        vec![PyTorch, TensorFlow],
            infra:     vec![Aws, Kafka, Redis, Postgres, Docker],
        }
    }

    fn currently(&self) -> &str {
        "teaching on-call automation to reason with adaptive thinking"
    }
}

Contributing to Rig — the Rust LLM framework (7.2k ⭐) powering ilert AI's agentic LLM proxy:

• #1725  expose Mistral's cached & audio token fields in Usage — unblocks accurate cost tracking + prompt-cache observability
• #1683  preserve AWS Bedrock adaptive-thinking signatures in streaming — fixes dropped cryptographic signatures in multi-turn Claude conversations
• #1675  fix Bedrock cache-point placement + empty-text reasoning conversion with signatures

agent-approval-gate — human-in-the-loop approval for LLM agent tool calls. Classify tools read/write, hold every write & destructive action behind an approver, and never cache a grant across turns.

• one shared policy format across TypeScript & Rust — 42 TS + 9 Rust tests, CI on both
• drop-in adapters: OpenAI · Anthropic · Gemini · AWS Bedrock · MCP · Vercel AI SDK · Rig
• incident-triage-demo  ·  a Gemini-powered on-call agent that asks before it acts

_{byQuexo@ilert:~$ exit  ·  thanks for dropping by 👋}