* 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.
Avoid resubmitting unchanged schedules from the automation edit dialog so completed one-time automations can still have their content updated. Treat unchanged schedules as already-valid on the backend while preserving validation for actual schedule changes.
Maintainer edit: redact external channel chat identifiers from the WebUI automation payload and reject malformed or unschedulable automation updates before they mutate cron jobs.
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.
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