The enabledTools allowlist was only enforced for MCP tools returned by
session.list_tools(). Resources and prompts from session.list_resources()
and session.list_prompts() were registered unconditionally, allowing a
deny-all or restrictive enabledTools config to leak resource and prompt
capabilities to the model.
Now resources and prompts are only registered when allow_all_tools is
true (default ["*"] wildcard). Any explicit tool restriction — including
enabledTools: [] (deny-all) or a list of specific tool names — also
blocks resource and prompt registration from that server.
Fixes#4435
maintainer edit: Telegram Web cannot render sendRichMessage payloads, so keep the rich path available only for explicit opt-in instead of enabling it by default.
- Use a local variable for the proxy URL instead of hardcoding it twice
- Pass proxy through the WebSearchTool constructor instead of mutating
after instantiation (matches real usage path)
- Add assertion that timeout is still forwarded correctly
- Use generic mock data instead of test-specific strings
The DuckDuckGo search provider instantiated DDGS(timeout=10) without
passing the configured proxy, making web_search unusable in environments
that require a proxy (e.g. behind GFW). DDGS supports a proxy parameter
and the proxy value is already available as self.proxy — it was simply
not forwarded.
Add a test verifying the proxy kwarg is forwarded to DDGS.
maintainer edit: native reasoning streams can split <thinking> wrapper tags across chunks. Buffer the stream and emit only cleaned incremental reasoning so raw partial tags do not reach WebUI.
Maintainer edit: document OpenCode Zen and Go configuration, keep their registry entries with gateway providers, and add focused provider registration tests.
maintainer edit: move duplicate tool_use history repair out of AgentRunner and into Anthropic message conversion, reusing the OpenAI-compatible queue-mapping approach locally without broadening the shared runner path.
maintainer edit: remap duplicate tool_use/tool_call ids instead of dropping later calls, so Anthropic-compatible providers that reuse ids for distinct parallel tool calls keep all requested work while still sending unique ids.
Anthropic rejects any request where two tool_use blocks share an id
("messages.N.content.M: tool_use ids must be unique"). A mis-assembled
stream could surface the same tool_use block twice in one assistant turn;
the runner persisted it verbatim, so the malformed message was re-sent on
every subsequent turn and permanently bricked the session — the agent
silently stopped replying.
Fix at two layers:
- AnthropicProvider._parse_response: drop duplicate tool_use ids (keep
first) as the response enters nanobot, so corruption is never persisted.
- AgentRunner._dedup_tool_calls: a new context-governance pass that dedupes
assistant tool_calls and tool results by id before each send, healing any
history that was already corrupted.
Add regression tests covering both the dedup and the no-op fast path.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Replace the manual thread-based catalog refresh with an asyncio task and async HTTP catalog fetches so the Settings route stays within the async WebUI model.
maintainer edit: CLI Apps settings now treats optional catalog caches as refresh candidates without blocking the initial payload, and pending polling stops when refresh is throttled instead of running indefinitely.
maintainer edit: Settings reads local Codex token storage to avoid refresh work, so expired access tokens with refresh credentials still need to count as configured until real provider use refreshes them.
Add Quick Start endpoint choices for subscription plan providers, require explicit WebSocket confirmation, and require a WebUI password when enabling the WebSocket channel. Update docs to route Quick Start users through the WebUI instead of agent -m.
Drive Quick Start provider choices from the provider registry instead of a short allowlist. Clean up parenthetical wizard labels and keep the beginner docs in sync.
Remove automatic Quick Start model discovery. Users now explicitly enter the model ID after choosing the provider and API key, and incomplete Quick Start input does not leave partial provider config behind.
Remove the PR changes that made nanobot onboard default to the wizard, added --defaults, added non-TTY fallback behavior, and changed the Docker smoke command. Keep Quick Start available through nanobot onboard --wizard.
Maintainer edit: replace Quick Start key/base detection with an explicit provider-first flow. Users choose the provider that issued the API key, paste the key, and only custom OpenAI-compatible setups ask for a base URL.
Maintainer edit: restart the Quick Start flow around an API-key-first path without recommending OpenRouter or DeepSeek. Detect unique key prefixes locally, fall back to a user-provided base URL, and only fetch models from that approved URL.
Maintainer edit: restart the Quick Start default around a mainland-friendly provider instead of making OpenRouter the first-run dependency. Update wizard copy, default preset, focused tests, and beginner docs to use DeepSeek with the current deepseek-v4-flash model.
Maintainer edit: continue the wizard simplification pass by making Quick Start save after the API key path, hiding save/summary actions until they are needed, removing failed-key side effects, and aligning beginner docs with the local WebUI path.
Maintainer edit: collapse the first-run wizard to an API-key-only Quick Start and move lower-frequency provider, model, channel, gateway, and tool settings behind Advanced Settings.
Maintainer edit: reduce the default onboarding path to a recommended local WebUI setup that only asks for an OpenRouter key, while keeping the detailed provider/channel flow available for advanced setup.
Maintainer edit: make explicit --defaults refresh existing configs without prompting when no TTY is available, preserving user values for CI and Docker runs.
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