nanobot/docs/quick-start.md
chengyongru 4a58b83acc
docs: make onboarding friendlier for beginners (#4177)
* docs: make onboarding friendlier for beginners

* docs: build clearer documentation paths

Maintainer edit: turn the onboarding follow-up into a layered docs structure for first-time setup, provider selection, troubleshooting, CLI reference, and source-level architecture. This keeps quick start focused while giving advanced users precise reference paths.

* docs: render architecture flow with mermaid

Maintainer edit: replace the ASCII architecture sketch with a GitHub-rendered Mermaid flowchart so the core runtime path is easier to scan in the PR and README docs.

* docs: recommend model presets for model config

Maintainer edit: make named modelPresets the primary model configuration path and expand fallback preset examples so string fallbacks are clearly preset names, not raw model IDs.

* docs: document api base urls and langfuse setup

Maintainer edit: explain when users need apiBase/base URL in quick start and provider docs, and add Langfuse tracing setup with troubleshooting links.

* docs: use python module pip consistently

Maintainer edit: keep install commands tied to the active Python interpreter by using python -m pip in the Azure optional dependency notes too.

* docs: add non-technical getting started path

Maintainer edit: add a wizard-first guide for users without terminal or JSON background, including a text TUI menu example and links from the main docs entrypoints.

* docs: avoid hard-wrapped prose in user docs

Maintainer edit: unwrap ordinary prose across user-facing documentation while preserving markdown structure, code blocks, tables, lists, and prompt/template files.

* docs: keep desktop list continuations nested

Maintainer edit: preserve list nesting after unwrapping prose in the desktop WebUI sync guide.

* docs: add one-command installer

Maintainer edit: add auditable macOS/Linux and Windows install scripts that install nanobot-ai and start the onboarding wizard, then document the commands in the main onboarding entrypoints.

* docs: add installer dry run mode

Maintainer edit: add --dry-run to the one-command installer scripts so users can preview Python detection, install source, pip command, and wizard behavior without changing their environment.

* docs: clean installer error output

Maintainer edit: make PowerShell installer failures print a concise Error: message instead of Write-Error call-site details.

* docs: add provider setup cookbook

Maintainer edit: add pasteable provider recipes for common hosted, local, fallback, runtime switching, and Langfuse setups, then link the cookbook from onboarding and troubleshooting entrypoints.

* docs: address review feedback

* docs: clarify reader paths

* docs: explain terminal basics for beginners

* docs: clarify wizard navigation

* docs: avoid duplicate onboarding steps

* docs: add setup status check

* docs: explain status output

* docs: remove provider recommendation wording

* docs: explain status diagnostics

* docs: reduce hard-wrapped guidance

* docs: migrate config examples to presets

* docs: clarify python command fallbacks

* docs: improve installer failure recovery

* docs: expand install troubleshooting

* docs: cover installer download failures

* docs: put stable install paths first

* docs: add bundled webui quick path

* docs: clarify provider-neutral setup

* docs: clarify gateway setup for chat surfaces

* docs: improve docs navigation paths

* docs: add configuration quick jump

* docs: clarify provider secret variables

* chore: request PR review acknowledgement

Empty commit: please read the PR review comments and reply on the PR to confirm that you have received them.

This commit intentionally changes no files; it exists only to notify the remote Codex run so it can end its active goal.

* docs: add README start here guide

* docs: avoid provider recommendation wording

* docs: guide next steps after first reply

* docs: explain merging JSON snippets

* docs: add CLI command chooser

* docs: add configuration task map

* docs: add deployment readiness guide

* docs: simplify WebUI entry paths

* docs: add provider recipe chooser

* docs: fix provider factual references

Update OpenRouter and LongCat model examples, align Bedrock guidance, and make fallback snippets schema-valid.

Also correct group policy wording and image-generation provider lists to match the current code.

* fix: keep PowerShell installer from closing caller shell

* docs: mention self-guided configuration
2026-06-10 00:36:22 +08:00

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Markdown

# Install and Quick Start
This page gets one local nanobot reply working. After that, you can add the WebUI, chat apps, local models, web search, MCP, deployment, or custom plugins.
If you have never used a terminal or edited a config file before, use [`start-without-technical-background.md`](./start-without-technical-background.md) first. This page assumes you are comfortable pasting commands and editing JSON snippets.
## Before You Start
You need:
- Python 3.11 or newer.
- One LLM provider, company endpoint, subscription endpoint, or local model server you can call. The examples below use OpenRouter only so the snippets are concrete; any supported provider works when the key, provider name, and model ID match.
- Git only if you install from source.
- Node.js or Bun only if you are developing the WebUI itself.
> [!IMPORTANT]
> Repository docs may describe features that are available first in source. Install from PyPI or `uv` for the stable day-to-day release; install from source when you want the newest repository behavior or plan to contribute.
## 1. Install
Pick one install method.
**One-command setup:**
```bash
sh -c "$(curl -fsSL https://raw.githubusercontent.com/HKUDS/nanobot/main/scripts/install.sh)"
```
On Windows PowerShell:
```powershell
irm https://raw.githubusercontent.com/HKUDS/nanobot/main/scripts/install.ps1 | iex
```
The default command installs or upgrades `nanobot-ai` from PyPI, then starts `nanobot onboard --wizard`. If you finish the wizard and save the config, skip the manual initialize/configure steps and go straight to [Check the Setup](#4-check-the-setup).
To preview the plan without changing your environment, pass `--dry-run`; combine it with `--dev` when you want to preview the main-branch install.
```bash
sh -c "$(curl -fsSL https://raw.githubusercontent.com/HKUDS/nanobot/main/scripts/install.sh)" -- --dry-run
```
```powershell
& ([scriptblock]::Create((irm https://raw.githubusercontent.com/HKUDS/nanobot/main/scripts/install.ps1))) --dry-run
```
To install the current `main` branch instead, pass `--dev`:
```bash
sh -c "$(curl -fsSL https://raw.githubusercontent.com/HKUDS/nanobot/main/scripts/install.sh)" -- --dev
```
```powershell
& ([scriptblock]::Create((irm https://raw.githubusercontent.com/HKUDS/nanobot/main/scripts/install.ps1))) --dev
```
If `curl` or `irm` is unavailable, or GitHub raw downloads are blocked on your network, use one of the manual install methods below.
If you prefer to inspect the script first, open [`../scripts/install.sh`](../scripts/install.sh) or [`../scripts/install.ps1`](../scripts/install.ps1).
**Stable release with `uv`:**
```bash
uv tool install nanobot-ai
nanobot --version
```
**Stable release with pip:**
```bash
python -m pip install nanobot-ai
nanobot --version
```
**Latest source checkout:**
```bash
git clone https://github.com/HKUDS/nanobot.git
cd nanobot
python -m pip install -e .
nanobot --version
```
If your shell cannot find `nanobot` after a pip install, run the module form:
```bash
python -m nanobot --version
python -m nanobot onboard
```
On Windows, `~` in the docs means your user profile directory, for example `C:\Users\you`.
The docs use `python` in commands. If your system exposes Python 3.11+ as `python3` or `py`, use that command in the same place, for example `python3 -m pip install nanobot-ai` or `py -m nanobot --version`.
## 2. Initialize
Skip this section if the one-command setup already started the wizard and you saved the config there.
```bash
nanobot onboard
```
Use the wizard if you prefer prompts instead of editing JSON by hand:
```bash
nanobot onboard --wizard
```
Initialization creates:
| Path | What it is |
|------|------------|
| `~/.nanobot/config.json` | Main settings file for providers, models, channels, tools, gateway, and API |
| `~/.nanobot/workspace/` | Agent workspace for memory, sessions, heartbeat tasks, skills, and artifacts |
If you already have a config, `nanobot onboard` can refresh missing default fields without overwriting your existing values.
## 3. Configure a Provider
Skip this section if you already configured provider and model settings in the wizard.
Open `~/.nanobot/config.json`. Add or merge these blocks into the file created by `nanobot onboard`; do not replace the whole file unless you want to reset the config.
**API key:**
```json
{
"providers": {
"openrouter": {
"apiKey": "sk-or-v1-xxx"
}
}
}
```
**Model preset:**
```json
{
"modelPresets": {
"primary": {
"label": "Primary",
"provider": "openrouter",
"model": "anthropic/claude-opus-4.5",
"maxTokens": 8192,
"contextWindowTokens": 65536,
"temperature": 0.1
}
},
"agents": {
"defaults": {
"modelPreset": "primary"
}
}
}
```
The provider and model inside a preset must match. The snippet above is only an example. For another provider, replace these values together:
| Replace | Where |
|---|---|
| Provider config key, such as `openrouter` | `providers.<provider>` |
| API key or environment variable | `providers.<provider>.apiKey` |
| Preset provider name | `modelPresets.primary.provider` |
| Model ID | `modelPresets.primary.model` |
| Endpoint URL, only when needed | `providers.<provider>.apiBase` |
Direct `agents.defaults.provider` and `agents.defaults.model` still work for existing configs, but named presets are the recommended path because they also power `/model` switching and fallback chains. For provider-specific examples across direct, gateway, OAuth, cloud, and local setups, see [`providers.md`](./providers.md).
**What about `apiBase` / base URL?**
`apiBase` is the HTTP base URL of the provider endpoint, not the model name. Most hosted providers in nanobot already know their default endpoint, so you usually only set `apiKey` and a model preset. Set `apiBase` when you are using:
- `custom` for a third-party or self-hosted OpenAI-compatible API;
- a local OpenAI-compatible server such as Ollama, vLLM, or LM Studio;
- a provider-specific alternate endpoint, regional endpoint, proxy, or subscription endpoint.
Examples:
```json
{
"providers": {
"custom": {
"apiKey": "${CUSTOM_API_KEY}",
"apiBase": "https://api.example.com/v1"
}
}
}
```
```json
{
"providers": {
"ollama": {
"apiBase": "http://localhost:11434/v1"
}
}
}
```
If the provider's docs say the endpoint is `/v1`, include `/v1` in `apiBase`. The model ID still belongs in the active `modelPresets` entry.
If you prefer not to store secrets in `config.json`, reference an environment variable and set it before starting nanobot:
```json
{
"providers": {
"openrouter": {
"apiKey": "${OPENROUTER_API_KEY}"
}
}
}
```
## 4. Check the Setup
```bash
nanobot status
```
This should show the config path, workspace path, active model or preset, and provider summary. It does not send a message to the model, so use it as a quick config check before the first real request.
Read it like this:
| Status line | What you want |
|---|---|
| `Config` | A check mark. |
| `Workspace` | A check mark. |
| `Model` | The model or preset you expect. |
| Provider list | Most providers can say `not set`; the provider used by the active preset should show a check mark, OAuth status, or local URL. |
## 5. Test One Message
Run a one-shot CLI message:
```bash
nanobot agent -m "Hello!"
```
A successful first run proves that:
- the `nanobot` command is installed;
- `~/.nanobot/config.json` can be loaded;
- the selected provider and model can answer;
- the default workspace can be created and used.
The reply text itself will vary. Any normal assistant answer means the install, config, provider, model, and workspace path are all usable.
If that works, start an interactive CLI chat:
```bash
nanobot agent
```
After the interactive session can answer normally, nanobot can help with its own next setup step. Ask it to read the relevant docs, inspect your current `~/.nanobot/config.json`, and make one concrete change such as enabling WebUI, adding a provider preset, or configuring one chat channel. When nanobot says the config is updated, run `/restart` in the chat or restart the nanobot process manually so long-running processes reload `config.json`.
Example prompt:
```text
Read docs/quick-start.md, docs/providers.md, and docs/configuration.md in this checkout.
Then update ~/.nanobot/config.json to add an OpenRouter model preset named "primary".
Tell me exactly what changed and whether I need to run /restart.
```
Exit interactive mode with `exit`, `quit`, `/exit`, `/quit`, `:q`, or `Ctrl+D`.
## 6. Choose Your Next Step
| Want to... | Go to |
|---|---|
| Understand config, workspace, gateway, channels, memory, and tools | [`concepts.md`](./concepts.md) |
| Copy another provider or local model setup | [`provider-cookbook.md`](./provider-cookbook.md) |
| Understand provider/model matching | [`providers.md`](./providers.md) |
| Open the bundled browser UI | [`../webui/README.md`](../webui/README.md) |
| Connect Telegram, Discord, WeChat, Slack, Email, or another chat app | [`chat-apps.md`](./chat-apps.md) |
| Configure web search, MCP, security, memory, gateway, or runtime settings | [`configuration.md`](./configuration.md) |
| Run with Docker, systemd, or LaunchAgent | [`deployment.md`](./deployment.md) |
| Debug a failure | [`troubleshooting.md`](./troubleshooting.md) |
## Updating
**pip:**
```bash
python -m pip install -U nanobot-ai
nanobot --version
```
**uv:**
```bash
uv tool upgrade nanobot-ai
nanobot --version
```
**Source checkout:**
```bash
git pull
python -m pip install -e .
nanobot --version
```
If you use WhatsApp, rebuild the local bridge after upgrading:
```bash
rm -rf ~/.nanobot/bridge
nanobot channels login whatsapp
```
## First-Run Troubleshooting
| Symptom | What to check |
|---------|---------------|
| `nanobot: command not found` | Use `python -m nanobot ...`, or add your Python scripts directory to `PATH`. |
| `ModuleNotFoundError: nanobot` | Confirm you installed into the same Python environment that is running the command. |
| JSON parse errors | Check commas and braces in `~/.nanobot/config.json`; examples above are partial snippets to merge. |
| Authentication or 401 errors | Check that the API key is valid, copied without spaces, and placed under the provider you selected. |
| Provider/model errors | Make sure the active preset uses the provider that owns your API key and that the model exists there. |
| The CLI works but a chat app does not reply | First keep `nanobot gateway` running, then follow [`chat-apps.md`](./chat-apps.md). |
| WebUI does not open | Enable the WebSocket channel and open port `8765`, not the gateway health port `18790`. |
For a fuller diagnosis flow, see [`troubleshooting.md`](./troubleshooting.md).