* let an agent wait on what it already said
An agent that answers in plain text is nudged to call a tool, and the only tool
that hands control back takes a required message. So it says the same thing
twice: once as text the user has already read, once as the argument it had to
supply to stop. Seen on a run whose whole instruction was "hi" - a greeting, then
the same greeting again through respond_to_user.
message is optional now. The nudge arms the tool with the text that was
delivered and says not to repeat it, so an agent that has said its piece can park
on it with an empty call. Anything it does want to add it passes normally.
Parking still cannot leave the user on silence: an empty call is refused unless
something was actually said, and the arming is single use - execution clears it
as soon as a turn ends any other way.
The interactive prompt now also says to answer and stop in one respond_to_user
call, which is what avoids the nudge in the first place.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
* drop the worked example from the interactive prompt
"the user greeted you, asked something you can answer outright, or you need a
decision" was the run I had been reading, written into a rule that holds
whatever the reason. The rule is that replying and stopping is one call; listing
occasions only invites the model to check whether this is one of them.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
* drop the arming flag; an empty message just waits
Passing the delivered text from execution into the tool, and refusing an empty
call without it, was machinery guarding against an agent parking having said
nothing. That leaves the user looking at "waiting for your reply" with a cursor
in front of them - they type. It does not need a mechanism.
What is left is the default on message, and the nudge saying the text already
landed.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
* only offer waiting on words that were written
The nudge told every agent its text had already been delivered, but it fires
whenever a turn leaves the agent running, and a turn can end with no tool call
and no text at all - _final_output_preview has carried <none> and <empty>
branches all along. An agent that said nothing was being invited to wait on an
answer the user never received, leaving them at a bare prompt.
It now reads the turn: waiting on what was said is offered only when something
was, and otherwise the agent is told plainly that the user has read nothing and
to send its message.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
* leave the continuation nudge alone
Rewording it meant asserting from the outside whether the agent had spoken, and
the nudge fires whenever a turn leaves the agent running - text or no text. The
agent knows which it did without being told, so the guidance belongs in its
prompt, where the condition is its own to read.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
* say it in the nudge, where the agent is reading
An agent stranded by the nudge reasons off the nudge. Told only to call
respond_to_user, it supplies a message, and since it has just answered in plain
text that message is the same answer again. The system prompt saying otherwise
sits thousands of tokens earlier and loses.
The clause goes on the line the agent acts on: call respond_to_user, with no
message if it has already said it. That reads true whatever the turn did,
including one that produced no text, because the agent is the one who knows
which — nothing here has to work it out from the outside.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
---------
Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
* correct the nudge the internal-turn test asserts
The test expected "ended the autonomous Strix run", which strix.core.execution
does not inject; it says "ended the autonomous run". The classifier was right and
the test was not, so the suite failed on main while the behaviour it guards was
fine.
The sentence is written inline in another module and copied by hand into the
classifier and again into the test, which is how it drifted. A second test now
reads it back out of that module's source, joining the adjacent string literals
its line wrapping leaves behind, and fails if either nudge is no longer injected
verbatim. Reworded one and it reports which nudge went missing and what a resumed
scan would do about it.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
* read the nudges out of what the module can inject, not out of its text
Searching the source accepted the sentence anywhere in the file, so a stale copy
left behind in a comment would have kept the guard passing after the message it
guards had changed - the drift it exists to catch.
Parsing the module instead limits it to strings the code can actually inject.
Comments never reach the tree, docstrings are dropped as description rather than
behaviour, and adjacent literals are joined during parsing, which the line
wrapping needed and the regex was only approximating.
Checked by rewording the message and leaving the old wording in a comment: the
guard fails, where searching the text passed.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
---------
Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
* make the working-directory prompt answer the mouse
Its Confirm and Cancel were drawn as buttons and did nothing when clicked: the
modal mouse handler had a case for every dialog except this one, so a click fell
through and the scan sat waiting on an answer the user believed they had given.
Only the keyboard could answer it.
The prompt is docked in a corner rather than centered, so it also needs its own
bounds; the centered ones every other dialog uses would have put the buttons in
the wrong place. Those bounds now come from the same placement cornerOverlay
draws with.
Two returns that hand back the model alongside a call that mutates it are now
sequenced explicitly. They work, but only because the compiler happens to
evaluate the call first, and one of them is what puts the prompt back in the
composer when the mount is declined.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
* skip the mount instead of abandoning the scan
Declining the working-directory prompt threw the whole launch away and dropped
back to the start screen, which is a lot to lose for answering one question
about one directory. The two answers are now about the directory alone: mount it,
or run without it. The prompt is the whole of the input either way.
The buttons say which is which - Mount and Skip rather than Confirm and Cancel -
and the prompt says what skipping costs.
A run with neither target nor directory is a real run, so two things follow it.
It can be resumed: its instruction is what drives it, and that is in the run
record. And it tells the agent plainly that it has neither, because an agent
given no scope goes looking for the one it assumes it was meant to have.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
---------
Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
An exception escaping a non-interactive cycle re-raised before the status
handling, so a dying child stayed 'running' and its parent waited out the
timeout on a completion report the child could no longer send. Set the
terminal status and wake the parent on the way out too.
A tool call for a name Strix does not register raised ModelBehaviorError
from the SDK turn resolver, which nothing retries: the root agent's raise
tore down the whole scan and a sub-agent died before its status was set.
Opt into the SDK's tool_not_found_behavior="return_error_to_model" so the
unknown call comes back as a tool result and the agent self-corrects.
The setting landed in openai-agents 0.19.0, which requires openai>=2.45,
so both pins move.
Register a litellm.success_callback that captures kwargs['response_cost']
into a new observed-cost bucket on LLMUsageLedger. record() skips the
tokens-times-registry estimate for LiteLLM-routed models so we do not
double-count with the callback; OpenAI direct routes keep estimating
since LiteLLM is not invoked for them. Per-agent attribution for
LiteLLM-routed calls is apportioned by token share at to_record() time.
OpenAI's Responses API rejects reasoning.effort on non-reasoning
models like gpt-4o with `unsupported_parameter`, so any scan with
the default STRIX_REASONING_EFFORT=high against gpt-4o crashed at
the first model call. drop_params=True absorbs the rejected param
on LiteLLM-routed models but the SDK's native OpenAI path has no
equivalent.
Lift model_supports_reasoning to a public helper that strips
litellm/, any-llm/, openai/ prefixes and falls back to last-segment
lookup so prefixed forms like anthropic/claude-opus-4-7 resolve
through the bare model_cost entry. make_model_settings regains
model_name and skips Reasoning() when the registry doesn't confirm
support. uses_chat_completions_tool_schema reuses the same helper
(was duplicating the lookup under a misleading name).
Add AgentMessageRenderer to render agent messages with basic markdown support:
- Headers (#, ##, ###, ####)
- Bold (**text**) and italic (*text*)
- Inline code and fenced code blocks
- Links [text](url) and strikethrough
Update system prompt to allow agents to use simple markdown formatting.
- Add new todo tool with create, list, update, mark_done, mark_pending, delete actions
- Each subagent has isolated todo storage keyed by agent_id
- Support bulk todo creation via JSON array or bullet list
- Add TUI renderers for all todo actions with status markers
- Update notes tool to remove priority and todo-related functionality
- Add task tracking guidance to StrixAgent system prompt
- Fix instruction file error handling in CLI
