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openclaw/examples/ai-chat/README.md
VectorPeak b3c0aaf38b docs(ai): add PowerShell instructions to the minimal chat example (#108567)
* docs(ai): add PowerShell instructions to the minimal chat example

Co-authored-by: chatgpt-codex-connector[bot] <199175422+chatgpt-codex-connector[bot]@users.noreply.github.com>
Co-authored-by: clawsweeper[bot] <274271284+clawsweeper[bot]@users.noreply.github.com>

* docs(ai): simplify PowerShell key cleanup

---------

Co-authored-by: chatgpt-codex-connector[bot] <199175422+chatgpt-codex-connector[bot]@users.noreply.github.com>
Co-authored-by: clawsweeper[bot] <274271284+clawsweeper[bot]@users.noreply.github.com>
Co-authored-by: Peter Steinberger <steipete@gmail.com>
2026-07-16 04:57:39 -07:00

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# @openclaw/ai example: minimal chat completion
Smallest possible consumer of the published `@openclaw/ai` package: creates an
isolated runtime, registers the built-in API providers, and streams one
completion. No OpenClaw application code is involved — inside this repo the
workspace link resolves to the package's built `dist`, the same artifact npm
consumers install, so `pnpm build` must have run first.
Choose a provider and replace its placeholder with a real API key.
POSIX shell commands (the Ollama command also works in PowerShell):
```sh
ANTHROPIC_API_KEY=example-anthropic-key-not-real node index.mjs "Say hello"
OPENAI_API_KEY=example-openai-key-not-real node index.mjs --provider openai "Say hello"
# keyless, against a local Ollama server (OLLAMA_MODEL overrides the model id)
node index.mjs --provider ollama "Say hello"
```
PowerShell (assignments remain in this session until removed or the shell closes):
```powershell
$env:ANTHROPIC_API_KEY = "example-anthropic-key-not-real"
node index.mjs "Say hello"
$env:OPENAI_API_KEY = "example-openai-key-not-real"
node index.mjs --provider openai "Say hello"
# Clear the session-scoped keys.
$env:ANTHROPIC_API_KEY = $null
$env:OPENAI_API_KEY = $null
```
Text deltas stream to stdout; stop reason and token usage go to stderr.
Notes for library consumers:
- `createLlmRuntime()` gives you an isolated registry; nothing is registered
globally by importing the package.
- `registerBuiltInApiProviders(runtime.registry)` opts into the eight built-in
transports (Anthropic, OpenAI Completions/Responses, Azure OpenAI, ChatGPT
Responses, Google, Vertex, Mistral). Provider SDK modules load lazily on
first use.
- Host policy (custom fetch, secret redaction, strict-tool defaults, logging)
is injectable via `configureAiTransportHost`; the defaults are inert.
- Full TypeScript types ship with the package; this example uses plain ESM so
it runs with bare `node`.