OpenClaw_Observability_plugin_with_Arize

Name: OpenClaw_Observability_plugin_with_Arize
Rating: 3.5 (1 reviews)
Author: Neurl-LLC

By Neurl-LLC 👁 2 views ▲ 0 votes

An observability plugin for openclaw using Arize.

GitHub

Install

openclaw plugins install .

README

# Arize OpenClaw Hook Plugin

This plugin adds observability to OpenClaw using Arize and OpenTelemetry. It instruments agent behavior such as LLM calls and tool executions, allowing you to trace and analyze interactions in real time.

---

## Getting Started

First, clone the repository:

```bash
git clone https://github.com/Neurl-LLC/OpenClaw_Observability_plugin_with_Arize
cd OpenClaw_Observability_plugin_with_Arize
```

---

## Features

* Captures LLM input and output events
* Tracks tool execution calls
* Sends traces to Arize via OpenTelemetry
* Provides visibility into agent behavior through hooks
* Easy integration with OpenClaw’s plugin system

---

## Requirements

Before running the plugin, ensure you have the following:

* OpenClaw installed and configured
* Node.js environment
* Valid Arize account with:

  * API Key
  * Space ID
  * Project Name

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## Installation

Once the implementation is complete, install the plugin locally:

```bash
openclaw plugins install .
```

After installation, restart the OpenClaw gateway to activate the plugin:

```bash
openclaw gateway restart
```

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## Running the Dashboard

Next, open the OpenClaw dashboard to communicate with the agent:

```bash
openclaw dashboard
```

Once the dashboard is open, you can send a message to the agent from the **Chat section in the sidebar**.

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## Verifying Observability

After interacting with the agent, open your Arize dashboard. You should see:

* LLM input and output traces
* Tool execution spans
* Full request lifecycle visibility
* Additional metadata such as latency and execution details

This confirms that your plugin is successfully instrumenting the agent and sending data to Arize.

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## How It Works

The plugin uses OpenClaw hooks to intercept key events in the agent lifecycle. These events are converted into OpenTelemetry spans and exported to Arize for observability and analysis.

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