> ## Documentation Index
> Fetch the complete documentation index at: https://docs.oncall.build/llms.txt
> Use this file to discover all available pages before exploring further.

# OpenBug Changelog

> Product updates, releases, and improvements to the OnCall AI debugging CLI

<Update label="v0.4.0" tags={["Multi-Service Debugging", "CLI", "Architecture"]} description="Multi-service debugging and project-level context">
  ## Multi-Service AI Debugging Across Frontend and Backend

  v0.4.0 is a major step forward for OnCall. This release introduces **project-level, multi-service debugging**, allowing developers to investigate issues that span frontend, backend, workers, and other processes in a single session.

  ### What’s New

  **oncall cluster**\
  Debug across multiple services by registering them to a shared local cluster. This enables correlated investigations across services without switching tools or terminals.

  **oncall init**\
  Group related processes under a single project ID, making it easier to reason about complex systems and share a consistent debugging setup across a team.

  **Multi-process debugging in one session**\
  Attach multiple running processes and debug them together instead of treating each service in isolation.

  **Cross-service context expansion**\
  AI investigations now reason over logs and runtime signals from all connected services, not just the process that triggered the investigation.

  **CLI standardization**\
  The npm package has been renamed from `clippy-test` to `oncall-cli`, and the standard CLI command is now `oncall`.

  ### Why This Matters

  Most production bugs are distributed across services.\
  This release shifts OnCall from process-level debugging to **system-level investigation**, making it practical for real-world architectures.
</Update>

<Update label="v0.3.1" tags={["AI Investigations", "Runtime Signals"]} description="Unlimited log search and deeper AI investigations">
  ## Unlimited Log Search and Deeper AI Investigations

  v0.3.1 focuses on removing constraints during debugging and making AI investigations more flexible and cost-efficient.

  ### What’s New

  **Full log search across all available logs**\
  Search without artificial limits on context size, enabling broader exploration before narrowing down a root cause.

  **Expanded investigation scope**\
  Investigations now go beyond breaking failures and support performance issues, anomalies, and unclear runtime behavior.

  **More flexible queries**\
  Ask natural questions across logs, code, and runtime signals without rigid formats.

  **Reduced token usage**\
  Internal optimizations significantly reduce token consumption during investigations.

  ### Why This Matters

  Debugging often requires wide exploration before precision.\
  This release removes friction during that exploration phase while keeping investigations efficient.
</Update>

<Update label="v0.3.0" tags={["AI Investigations", "Architecture"]} description="Adaptive, tool-driven AI investigations">
  ## Adaptive, Tool-Driven AI Debugging

  v0.3.0 upgrades the core investigation engine powering OnCall. AI investigations are no longer fixed scripts and are now adaptive and evidence-driven.

  ### What’s New

  **Local code and log navigation**\
  During investigations, the AI can navigate local files and logs to ground its reasoning in real runtime evidence.

  **Remote investigations with local context**\
  Investigations run remotely while securely accessing local logs and code when needed.

  **Adaptive investigation flows**\
  Investigation paths can branch, loop, and adjust direction based on new evidence, instead of following fixed step sequences.

  ### Why This Matters

  Real debugging is non-linear.\
  This release makes AI behave less like a checklist and more like a thoughtful debugging partner.
</Update>

<Update label="v0.2.0" tags={["Live Debugging", "CLI"]} description="Live AI debugging for running processes">
  ## Live AI Debugging for Running Processes

  v0.2.0 introduces interactive AI-assisted debugging for running processes, allowing issues to be investigated as they happen.

  ### What’s New

  **AI-assisted debugging for live processes**\
  Attach OnCall to a running command and investigate runtime behavior in real time.

  **Split terminal interface**\
  A split view shows live logs alongside AI interaction, removing the need for context switching.

  **Optional AI reasoning visibility**\
  Developers can inspect how the AI is reasoning during investigations when deeper understanding is needed.

  ### Why This Matters

  This release turns debugging into a live conversation with your system instead of a post-mortem exercise.
</Update>

<Update label="v0.1.0" tags={["CLI"]} description="Initial release">
  ## Interactive AI Debugging for a Single Process

  v0.1.0 is the first public release of OnCall, focused on interactive debugging for a single running process.

  ### What’s Included

  **Interactive AI-assisted debugging**\
  Debug a running command with AI assistance during execution.

  **Real-time log inspection**\
  Inspect logs as they are produced instead of after failure.

  **CLI-first workflow**\
  Designed from day one to fit naturally into existing terminal-based developer workflows.

  This version was released under the internal working title `clippy-test`.

  ### Why This Matters

  Every system-level debugging tool starts small.\
  This release laid the foundation for everything that followed.
</Update>