pluginadvancedOpenCLAW

OpenClaw v2026.3.7: ContextEngine Plugin & Multi-Provider Model Routing

This OpenClaw update introduces a flexible plugin system, letting developers customize how the AI understands conversations without changing the core product. It also makes the AI more reliable by automatically switching between different AI providers like OpenAI and Google if one is unavailable, ensuring continuous operation.

AI SETUP PROMPT

Paste into Claude Code or Codex CLI — it will scan your project and set everything up

# Install & Configure: OpenClaw v2026.3.7: ContextEngine Plugin & Multi-Provider Model Routing

## What This Is
This OpenClaw update introduces a flexible plugin system, letting developers customize how the AI understands conversations without changing the core product. It also makes the AI more reliable by automatically switching between different AI providers like OpenAI and Google if one is unavailable, ensuring continuous operation.

Source: https://cybersecuritypath.com/openclaw-2026-3-1-advanced-ai-agent-upgrades/

## Before You Start

Scan my workspace and analyze:
- The project language, framework, and directory structure
- Existing agent configuration (check for .claude/, .codex/, CLAUDE.md, settings.json, commands/, skills/ directories)

Then ask me before proceeding:
1. Do I need to configure any service credentials for this plugin (database, API keys, etc.)?
2. Should this be project-scoped or global?

## Source Access Note

The source URL (https://cybersecuritypath.com/openclaw-2026-3-1-advanced-ai-agent-upgrades/) may not be directly accessible from the terminal. Use the Reference Implementation and Additional Context sections below instead. If you need more details, ask me to paste relevant content from the source.

## What to Implement

This is an **Agent Plugin** — typically an MCP server or capability bundle.

- Install any required npm/pip packages from the source repository
- Register the MCP server in `.claude/settings.json` under the `mcpServers` key with the correct command and args
- Configure any required environment variables or credentials
- Verify the server starts correctly by checking its expected output

## Additional Context

- Update the user's local OpenClaw repository to the `v2026.3.7-beta.1` tag to incorporate the ContextEngine, intelligent model routing, and other improvements.
- Scan the user's project to identify existing agent configurations. Create a new example TypeScript file demonstrating how to use the `ContextEngine` plugin interface, implementing a basic `prepareSubagentSpawn` hook to log or modify context for a sub-agent.
- Review the user's current model configuration. Update it to include a fallback provider (e.g., Anthropic, Cohere, or Google AI) using the new resilient routing feature. Utilize the user's existing API keys from their environment variables, or prompt them to add keys for the secondary provider if they are missing.

## Guidelines

- Adapt everything to my existing project — do not assume a specific stack or directory layout
- Review any fetched code for safety before installing or executing it
- After setup, run a quick verification and show me a summary of exactly what was installed, where, and how to use it

2,723 charactersCompatible with Claude Code & Codex CLI

MANUAL SETUP STEPS

01Update the user's local OpenClaw repository to the `v2026.3.7-beta.1` tag to incorporate the ContextEngine, intelligent model routing, and other improvements.
02Scan the user's project to identify existing agent configurations. Create a new example TypeScript file demonstrating how to use the `ContextEngine` plugin interface, implementing a basic `prepareSubagentSpawn` hook to log or modify context for a sub-agent.
03Review the user's current model configuration. Update it to include a fallback provider (e.g., Anthropic, Cohere, or Google AI) using the new resilient routing feature. Utilize the user's existing API keys from their environment variables, or prompt them to add keys for the secondary provider if they are missing.

FIELD OPERATIONS

Context-Aware RAG Support Agent

Build a customer support agent that uses the new `ContextEngine` to dynamically inject relevant documentation into its context based on the user's query. The plugin would perform a vector search on a knowledge base and use `prepareSubagentSpawn` to equip a specialized sub-agent with the retrieved information.

Resilient Multi-Provider AI Workflow

Create a workflow that processes a batch of documents, using a high-end model (e.g., GPT-4o) as the primary provider and a cheaper/faster model (e.g., Claude 3 Haiku or Gemini 1.5 Flash) as a fallback. The intelligent routing will automatically switch providers on rate limits or API errors, logging which documents were processed by which model.

STRATEGIC APPLICATIONS