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Benjamin Taylor e1f88ebc12 refactor(examples): split the Channel out of the host, drop its HTTP server 
Addresses review feedback that channel-host.mts is doing too much.

Two changes, both scoped to the starters:

1. Channel construction moves to a new `channels.mts` beside `agent.ts` —
   name resolution, `createChannel`, and the `onMessage` handler. That is
   also the file to edit to customise a Channel (commands, reactions,
   onMention), which previously meant editing the host.

   The per-framework agent import moves with it, so `channel-host.mts` is now
   byte-identical in all 15 starters rather than 13 + 2.

2. The host no longer stands up an HTTP server. Its comment claimed the
   server was what "keeps the lifecycle-owning process alive"; that is false.
   An open undici WebSocket holds the event loop on its own — verified with a
   standalone repro where a process with no HTTP server and no timers of its
   own stayed up indefinitely on a single WebSocket connection. The server was
   therefore serving a second, uncalled copy of the runtime API on port 8300
   for no reason.

   With the server gone, `createCopilotNodeListener` was the wrong factory —
   it builds a request listener purely for its activation side effect. The
   host now uses `createCopilotRuntimeHandler` + `ready()`, which is the
   documented long-running-host pattern (see fetch-handler.ts). This also
   drops `node:http`, `basePath`, and the CHANNEL_PORT env var.

Behaviour is unchanged: same Channel, same agent, same status reporting, and
the same non-zero exit on activation failure.

Verified: 14/14 starters with a `typecheck:channel` script pass; mastra has no
such script by design (166dc94691) and its pre-existing Mastra `Memory` type
error is byte-identical before and after. `npm run channel` exercised on both
failure paths — missing channels.json, and missing INTELLIGENCE_API_KEY with a
name supplied — confirming the new `./channels.mjs` specifier resolves under
tsx as well as tsc. `parity:check` output identical to the pre-change baseline.

Refs #6315

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-08-02 12:41:46 -05:00

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CopilotKit <> LlamaIndex Starter

This is a starter template for building AI agents using LlamaIndex and CopilotKit. It provides a modern Next.js application with an integrated investment analyst agent that can research stocks, analyze market data, and provide investment insights.

Prerequisites

  • Node.js 18+
  • Python 3.9+
  • OpenAI API Key (for the LlamaIndex agent)
  • uv
  • Any of the following package managers:

Getting Started

  1. Install dependencies using your preferred package manager:
# Using npm (default)
npm install

# Using pnpm
pnpm install

# Using yarn
yarn install

# Using bun
bun install

This also installs the Python agent dependencies via uv sync.

  1. Set up your OpenAI API key:
export OPENAI_API_KEY="your-openai-api-key-here"
  1. Start the development server:
# Using npm (default)
npm run dev

# Using pnpm
pnpm dev

# Using yarn
yarn dev

# Using bun
bun run dev

This will start both the UI and agent servers concurrently.

Running a Channel

channel-host.mts mounts the same agent as an Intelligence Channel (Slack, Teams). It requires INTELLIGENCE_API_KEY and a declared Channel in .copilotkit/channels.json — set both up with copilotkit init or copilotkit channels add, which write that file and the credentials your .env needs, then:

npm run channel

The host reads which Channel to hold from .copilotkit/channels.json. If a project declares more than one, set INTELLIGENCE_CHANNEL_NAME to pick one.

The host holds no provider credentials and exposes no provider endpoint — Intelligence owns the provider edge — so the same file works for every provider.

The Channel itself is declared in channels.mts — that is where to add commands, reactions, or an onMention handler. channel-host.mts only owns the process lifetime, and is byte-identical in every starter.

Once startup finishes, the log reports the truth per Channel:

  • Channel "<name>" is online. — the session is up and can send.
  • Channel "<name>" is declared but no provider is attached yet. — a normal waiting state, not a failure. Run copilotkit channels status to see what setup remains.

Neither message proves the provider app is installed, reachable, or that anyone can message it — verify that separately (invite the bot, then message it) before treating the Channel as working.

Available Scripts

The following scripts can also be run using your preferred package manager:

  • dev - Starts both UI and agent servers in development mode
  • dev:debug - Starts development servers with debug logging enabled
  • dev:ui - Starts only the Next.js UI server
  • dev:agent - Starts only the LlamaIndex agent server
  • install:agent - Installs Python dependencies for the agent
  • build - Builds the Next.js application for production
  • start - Starts the production server
  • lint - Runs ESLint for code linting
  • channel - Holds an Intelligence Channel open (see "Running a Channel" above)
  • typecheck:channel - Type-checks the channel host on its own tsconfig.channel.json

Documentation

The main UI component is in src/app/page.tsx. You can:

  • Modify the theme colors and styling
  • Add new frontend actions
  • Customize the CopilotKit sidebar appearance

📚 Documentation

Contributing

Feel free to submit issues and enhancement requests! This starter is designed to be easily extensible.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Troubleshooting

Agent Connection Issues

If you see "I'm having trouble connecting to my tools", make sure:

  1. The LlamaIndex agent is running on port 9000
  2. Your OpenAI API key is set correctly
  3. Both servers started successfully

Python Dependencies

If you encounter Python import errors:

cd agent
uv sync

CopilotKit Intelligence & Threads (Optional)

CopilotKit Intelligence adds durable thread history and cross-session memory to your agent. It requires a COPILOTKIT_LICENSE_TOKEN and a running local Intelligence stack (Docker Desktop + a local Intelligence repo checkout).

Prerequisites

  • Docker Desktop running
  • A COPILOTKIT_LICENSE_TOKEN (obtain from CopilotKit Cloud)
  • The Intelligence repo cloned locally. The docker-compose.intelligence.yml defaults to a sibling directory at ../../../Intelligence relative to this starter; override with the INTELLIGENCE_REPO env var if your checkout is elsewhere.

Start the intelligence stack

# From inside this starter directory:
docker compose -f docker-compose.intelligence.yml up -d --wait

First run builds the intelligence image from source (may take several minutes).

Verify the stack is healthy

docker compose -f docker-compose.intelligence.yml ps

All three services (postgres, redis, intelligence) should show healthy.

Set environment variables

Add the following to your .env file:

COPILOTKIT_LICENSE_TOKEN=your-license-token-here
INTELLIGENCE_API_URL=http://localhost:4203
INTELLIGENCE_GATEWAY_WS_URL=ws://localhost:4403

Then start the dev server as usual (npm run dev). Thread history and memory features are activated automatically when COPILOTKIT_LICENSE_TOKEN is set.

Stop / reset

# Stop without removing data:
docker compose -f docker-compose.intelligence.yml down

# Full reset (removes postgres + redis volumes):
docker compose -f docker-compose.intelligence.yml down -v
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