nanobot/docs/development.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

# Development
This page collects contributor-facing notes for extending nanobot. User-facing setup and runtime options live in [`configuration.md`](./configuration.md).
## Adding an LLM Provider
nanobot uses the provider registry in `nanobot/providers/registry.py` as the source of truth for LLM provider metadata. Most OpenAI-compatible providers need only two changes.
1. Add a `ProviderSpec` entry to `PROVIDERS`:
```python
ProviderSpec(
name="myprovider",
keywords=("myprovider", "mymodel"),
env_key="MYPROVIDER_API_KEY",
display_name="My Provider",
default_api_base="https://api.myprovider.com/v1",
)
```
2. Add a field to `ProvidersConfig` in `nanobot/config/schema.py`:
```python
class ProvidersConfig(BaseModel):
...
myprovider: ProviderConfig = Field(default_factory=ProviderConfig)
```
Environment variables, config matching, provider status, and WebUI credential display derive from those two entries.
Useful `ProviderSpec` options:
| Field | Description |
|---|---|
| `default_api_base` | Default OpenAI-compatible base URL. |
| `env_extras` | Additional environment variables derived from the provider config. |
| `model_overrides` | Per-model request parameter overrides. |
| `is_gateway` | Provider can route many model families, like OpenRouter. |
| `detect_by_key_prefix` | Match configured gateways by API-key prefix. |
| `detect_by_base_keyword` | Match configured gateways by API base URL. |
| `strip_model_prefix` | Strip `provider/` before sending the model to the upstream API. |
| `supports_max_completion_tokens` | Use `max_completion_tokens` instead of `max_tokens`. |
| `is_transcription_only` | Provider has credentials but cannot serve chat completions. |
## Adding a Transcription Provider
Transcription is intentionally split into two layers:
- `nanobot/audio/transcription_registry.py` owns provider names, aliases, default models, and adapter loading.
- `nanobot/providers/transcription.py` owns provider-specific HTTP behavior.
Credentials still live under `providers.<provider>` so chat channels, WebUI, and desktop resolve API keys and API bases the same way.
1. Add provider credentials to `ProvidersConfig`.
```python
class ProvidersConfig(BaseModel):
...
my_stt: ProviderConfig = Field(default_factory=ProviderConfig)
```
2. Add a `ProviderSpec` in `nanobot/providers/registry.py`.
For transcription-only providers, set `is_transcription_only=True` so they show up in credential/settings surfaces but stay out of chat model selection.
```python
ProviderSpec(
name="my_stt",
keywords=("my_stt",),
env_key="MY_STT_API_KEY",
display_name="My STT",
default_api_base="https://api.example.com/v1",
is_transcription_only=True,
)
```
3. Add an adapter class in `nanobot/providers/transcription.py`.
Adapters receive resolved credentials and settings. They return an empty string for provider errors so channel voice messages fail quietly instead of crashing the agent loop.
```python
class MySTTTranscriptionProvider:
def __init__(
self,
api_key: str | None = None,
api_base: str | None = None,
language: str | None = None,
model: str | None = None,
):
self.api_key = api_key or os.environ.get("MY_STT_API_KEY")
self.api_base = api_base or "https://api.example.com/v1"
self.language = language or None
self.model = model or "my-default-stt-model"
async def transcribe(self, file_path: str | Path) -> str:
...
```
4. Register the adapter in `nanobot/audio/transcription_registry.py`.
```python
TranscriptionProviderSpec(
name="my_stt",
default_model="my-default-stt-model",
adapter="nanobot.providers.transcription:MySTTTranscriptionProvider",
aliases=("mystt",),
)
```
5. Add tests.
At minimum, cover:
- config resolution in `tests/providers/test_transcription.py`
- adapter request/response behavior and retry/error handling
- WebUI settings payload/update behavior in `tests/webui/test_settings_api.py`
- provider brand mapping if the provider appears in Settings
6. Update user-facing docs.
Add the provider to [`configuration.md`](./configuration.md) where users choose `transcription.provider`, but keep implementation details in this development guide.