Introducing HiveLang v4

We believe that building AI agents shouldn't require a PhD in Machine Learning. It should be as simple as describing a workflow. That's why we built HiveLang. And today, we are releasing version 4.

This release represents a maturing of the agent ecosystem. We've moved past "cool demos" into "mission-critical production systems," and HiveLang v4 reflects that shift.

What's New in v4?

HiveLang v4 focuses on robustness. In a production environment, tools fail, APIs time out, and users change their minds. Your agents need to handle this gracefully without crashing or getting stuck in infinite loops.

1. Parallel Execution

Run multiple independent tasks at once. Previously, agents were linear. Now, they are concurrent. Check a calendar, search the web, and query a database in parallel.

1// Parallel block example
2parallel
3  call calendar.check_availability with { date: "tomorrow" }
4  call browser.search with { query: "flight prices to NYC" }
5  call database.query with { sql: "SELECT budget FROM trips" }
6end

This reduces total latency from Sum(T1 + T2 + T3) to Max(T1, T2, T3). For complex research tasks involving multiple sources, this often results in a 3x speedup.

2. Try-Catch Error Boundaries

Agents operating in the real world encounter messy data. APIs go down. Formats change. HiveLang v4 introduces structured error handling to keep your bot alive even when external tools fail.

1try
2  call unstable_api.fetch_data
3catch
4  say "API is down. Using cached fallback data."
5  set data = cache.get("last_known")
6end

This allows you to build resilient flows that degrade gracefully rather than failing catastrophically.

3. Zero-Latency Delegation

Seamlessly pass context between specialized agents (e.g., from a "Sales Bot" to a "Tech Support Bot") without losing the conversation history. We've optimized the context serialization protocol to make these handoffs instantaneous.

Migration Guide

Upgrading from v3 to v4 is seamless. Your existing scripts will continue to work, but you can opt-in to the new runtime by adding version "4.0" to your bot definition.

Breaking Changes

• await keyword is now implicit in linear blocks.
• memory.set is deprecated in favor of direct variable assignment.

We've updated the VS Code extension to auto-fix these deprecations for you.

Getting Started

HiveLang v4 is available today for all Pro and Enterprise users. Check out the documentation to upgrade your existing bots. We can't wait to see what you build.