The non-streaming retry called process_direct again with the same
content, persisting a duplicate user turn. Pass persist_user_message=False
so the retry recovers a response without re-recording the user message.
The .gitignore already excludes desktop/ and webui/ node_modules but
not the bridge's. Add bridge/node_modules/ so the compiled bridge deps
are never accidentally committed.
* fix(api): forward real LLM usage in /v1/chat/completions response
_chat_completion_response() hardcoded prompt_tokens/completion_tokens
to zero. Now reads agent_loop._last_usage (set by process_direct
after every LLM call) and forwards the actual prompt/completion counts.
Streaming path is unchanged; usage is only surfaced in non-streaming
responses for now.
Fixes#4309
* fix: use defensive getattr for _last_usage and add it to all test mock agents
- Use getattr(agent_loop, '_last_usage', None) in server.py for safety
- Add _last_usage = {} to mock agents in test_api_attachment.py and test_api_stream.py
- Prevents AttributeError/500 when mock agents don't have the attribute
* fix(api): preserve provider total usage
---------
Co-authored-by: michaelxer <michaelxer@users.noreply.github.com>
Co-authored-by: Xubin Ren <52506698+Re-bin@users.noreply.github.com>
Maintainer edit: after #4314 moved shared tool config models to nanobot.config_base, keep FileToolsConfig on the new dependency boundary so the PR passes the architecture guard.
Maintainer edit: subagents rebuilt their scoped ToolsConfig without carrying tools.file, which re-enabled built-in file tools after the parent agent disabled them. Preserve the file config and add loader/subagent coverage for the disabled path.
The temperature suppression was hardcoded to only match opus-4-7. Newer
Anthropic models (opus-4-8, fable) also reject the parameter with a 400.
Normalize model_name to lowercase before matching so mixed-case configs
do not fall through. Add tests for opus-4-8 and fable across adaptive,
enabled, and no-thinking paths, plus a negative test confirming ordinary
models still send temperature.
Fixes#4333
maintainer edit: rename the idle compact archive inputs so the code distinguishes messages being removed from messages being summarized. This keeps the #4264 behavior unchanged while making the retained-suffix summary rule easier to read.
Idle compaction summarized only the dropped prefix, excluding the recent
suffix it retains. On a finished conversation a late user correction or
final result lands in that kept suffix, so it never reached the persisted
summary and history kept the stale pre-correction conclusion — which, for
idle sessions that are rarely resumed, is never fixed.
Summarize over the full unconsolidated tail instead, while still removing
(and raw-dumping on LLM failure) only the dropped messages. Adds an opt-in
summary_context argument to Consolidator.archive so the summarization
window and the archived set can differ without affecting other callers.
build_messages merges the current message into a same-role history tail,
shrinking the prompt prefix to 1 + history_count. The save boundary
assumed a standalone current message and skipped one message too many,
cutting the first new-turn assistant message (with its tool_calls) from
persistence while keeping its tool results - producing orphaned tool
results in session history.
maintainer edit: use the resolved provider row when WebUI settings evaluates auto-selected providers, so named custom providers follow their apiBase-based configured state instead of the legacy has_api_key fallback.
maintainer edit: reject arbitrary custom provider keys that normalize to built-in provider names so runtime and WebUI settings cannot disagree about whether a provider is dynamic or built in.
maintainer edit: preserve provider-prefix CLI routing for named custom providers by stripping only the matched dynamic route prefix before sending the model id to OpenAI-compatible endpoints. This keeps ordinary namespaced model ids intact when the provider is selected explicitly.
maintainer edit: spell out that arbitrary named custom providers use the OpenAI-compatible request format only, and point Anthropic-compatible proxies to the built-in anthropic provider with apiBase.
maintainer edit: explain how to configure arbitrary OpenAI-compatible provider names, including multiple endpoints, model presets, and troubleshooting guidance.
maintainer edit: keep the WebUI dynamic-provider behavior unchanged while reducing repeated test setup and tightening the small dynamic-provider helper.