Introduce webhook mode for the Telegram channel and implement a session-based message reordering mechanism.
Key changes:
- Update `python-telegram-bot` dependency to include the `webhooks` extra.
- Add `TelegramConfig` fields for webhook configuration, with validation rules for public HTTPS URLs and Telegram's secret token.
- Implement `_enqueue_ordered_update` and `_drain_ordered_updates` in `TelegramChannel` to stage incoming messages and commands behind a short per-session reorder
window, ensuring sequential delivery based on message and update IDs.
- Configure `start_webhook` in `TelegramChannel.start()` when webhook mode is enabled.
- Add unit tests for webhook config validations, webhook startup, and message reordering.
- Document webhook configuration and reverse proxy details in `docs/chat-apps.md`.
`long_task` registers a sustained objective, but `AgentRunner` would
still exit with `stop_reason="completed"` when the LLM produced a final
text response without calling `complete_goal`. This defeated the purpose
of sustained goals.
Add `goal_active_predicate` and `goal_continue_message` to `AgentRunSpec`.
When the predicate returns `True` at the natural completion checkpoint,
inject a continuation message via the existing `_try_drain_injections`
machinery, forcing the runner to continue looping.
Also extract the default continuation prompt to
`nanobot/utils/runtime.py` alongside the existing recovery-message
builders.
Document how to use StepFun's Step Plan subscription endpoint with the
existing `stepfun` provider by overriding `apiBase`, following the same
pattern as the `zhipu` provider's coding plan documentation.
- **Base URL**: `https://api.stepfun.com/step_plan/v1` (dedicated endpoint)
- **API Key**: same `STEPFUN_API_KEY` as the regular `stepfun` provider
- **Models**: `step-3.5-flash`, `step-3.5-flash-2603`, `step-router-v1`
Changes:
- `docs/configuration.md` — provider tip, and config example showing
`apiBase` override on the existing `stepfun` provider
Test: 488/488 provider tests passed.
The maxConcurrentSubagents field in AgentDefaults was never wired
through AgentLoop.from_config() → AgentLoop.__init__() →
SubagentManager.__init__(), causing it to always fall back to the
hardcoded default of 1 regardless of the user's config.
Replace standalone 'Token Plan' section with general Xiaomi MiMo
section using the built-in xiaomi_mimo provider. Token plan becomes
a note within the section, since it's just an apiBase override.
Key changes:
- Use xiaomi_mimo provider (auto-matches via 'mimo' keyword in model name)
- Drop redundant provider field (auto-detected)
- Add token plan tip to provider tips block
- Restructure as general Xiaomi MiMo section with token plan as note
Ensure converted Responses API input items use unique replay ids when restoring assistant messages and function calls. This prevents Codex from rejecting resumed conversations with duplicate rs_* item ids while preserving call_id-based tool result linkage.
Add two new image generation providers:
- `openai` — uses the standalone OpenAI Images API
(`/v1/images/generations`) with an API key. Supports DALL-E
and gpt-image-* models, with automatic parameter adjustment
(gpt-image models don't accept response_format or n).
- `openai_codex` — uses the Codex Responses API with the
`image_generation` tool, authenticated via OAuth subscription
token. The same mechanism ChatGPT uses internally.
Also remove the API key pre-check in ImageGenerationTool so
providers that handle their own auth fallback (like Codex OAuth)
can work without a configured key.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
