Commit Graph
69 Commits
Author SHA1 Message Date
devin-ai-integration[bot] 174c16fa26 fix(llm): send OpenRouter app attribution on the request itself (#1045) 2026-08-10 11:24:02 -07:00
Ahmed Allam ae07af6159 chore: drop explanatory comment 2026-08-09 15:44:16 +03:00
Ahmed Allam 649a2e2140 fix(llm): omit parallel_tool_calls on tool-less requests 2026-08-09 15:44:16 +03:00
Ahmed Allam 06b158d1fa fix(runner): settle child agents before closing sessions at wind-down (#1025) 2026-08-08 18:17:58 -07:00
Ahmed Allam 72833b8e43 fix(runner): resume after a user interrupt instead of failing (#1023) 2026-08-08 16:44:12 -07:00
Ahmed Allam 1117ba6d4a fix(sessions): open a sqlite connection per operation, not per thread (#1022) 2026-08-08 16:20:01 -07:00
Ahmed AllamandClaude Opus 4.8 58df71d3db fix(agents): let an agent wait on what it already said (#1020)
* 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>
2026-08-09 00:57:16 +03:00
Ahmed AllamandClaude Opus 4.8 b260a4ee38 fix(tui): make the mount prompt clickable, and skip the mount instead of abandoning the scan (#1015)
* 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>
2026-08-08 22:34:02 +03:00
Ahmed Allam 77c7b0df09 prompt changes 2026-08-06 15:39:43 +03:00
devin-ai-integration[bot]andAhmed Allam 0abe82d622 fix(agents): collapse repeated waits queued inside one model turn (#979)
* fix(agents): collapse repeated waits queued inside one model turn

* fix(agents): state that one wait is enough in every prompt variant

---------

Co-authored-by: Ahmed Allam <ahmed39652003@gmail.com>
2026-08-06 00:07:30 +03:00
Anurag Mewar 6719a70611 feat: support API specs and Postman collections as targets (#866) 2026-08-03 21:07:44 -07:00
Ahmed Allam 3bcf3778f0 fix(core): settle a non-interactive agent's status before its exception unwinds
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.
2026-08-04 06:14:54 +03:00
Ahmed Allam 4a455b1e62 fix(core): recover from hallucinated tool names instead of ending the scan
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.
2026-08-04 06:14:54 +03:00
oyasumi 5bb9fe896b feat(tui): replace Textual with a Go/Bubble Tea interface (#941) 2026-08-03 19:23:07 -07:00
devin-ai-integration[bot]andAhmed Allam dbc427d816 feat(runtime): mount local targets instead of copying them in (#958)
Co-authored-by: Ahmed Allam <ahmed39652003@gmail.com>
2026-08-02 07:45:10 -07:00
Ahmed Allam b6cf156e95 fix(tools): tell a waiting parent when stop_agent stops its child 2026-08-02 15:43:43 +03:00
Ahmed Allam 002712284a fix(core): wake the parent when a child ends without a completion report 2026-08-02 15:43:43 +03:00
devin-ai-integration[bot]andAhmed Allam 797b37467e perf(cli): ~10x faster startup via lazy imports (#920)
* perf(cli): fast startup — lazy heavy imports + onedir standalone build

* perf(cli): drop legacy single-file compat from install/self-update

* perf(cli): simplify — drop constants module and extra lazy-import refactors

* refactor(update): strix --update just re-runs the install script

* perf(cli): drop packaging/install/update changes; deepen lazy imports instead

Reverts the onedir build, install.sh, and self-update changes so release
mechanics stay untouched. Startup cost is addressed purely by deferring
heavy imports (agents/openai, config.models, report state/writer, docker)
until a scan actually runs; DEFAULT_MAX_TURNS moves to strix.config.settings
so argparse no longer pulls the agents SDK.

---------

Co-authored-by: Ahmed Allam <ahmed39652003@gmail.com>
2026-08-02 06:24:31 +03:00
devin-ai-integration[bot]andAhmed Allam 2e7040240d feat(config): accept STRIX_REASONING_EFFORT=max for providers that support it (#956)
Co-authored-by: Ahmed Allam <allam@usestrix.com>
2026-08-01 17:10:01 -07:00
Ahmed Allam 1c1fa49961 refactor(tools): split wait_for_message into respond_to_user + wait_for_agents
One tool was doing three jobs (wait on the user, wait on other agents, and
- wrongly - wait for a long-running command), so the driver had to guess which
one an agent meant and used parent_id as the proxy: the root waits for a human,
everyone else waits for agents. That proxy is wrong, since the user can message
any agent from the TUI's agent tree.

Tool identity now carries the intent, and the coordinator records it as a
wait_kind that survives snapshot/restore:

  respond_to_user  -> wait_kind="user",   never auto-resumed (root or not)
  wait_for_agents  -> wait_kind="agents", auto-resumed on a 300s timer
  recovery exhaust -> wait_kind="stalled"

respond_to_user fuses the message and the yield into one call, so there is no
way to answer and then forget to stop - the two-step that gpt-4o-mini skipped
2/2 in live testing. Plain text still renders as before.

Auto-resume is also bounded now: an agent that re-parks after every timeout
burned a model turn every 300s for the rest of the scan (and, since parked
children notify their parent, spammed the parent's inbox on the same cycle).
After _MAX_IDLE_AUTO_RESUMES it stays parked until a real message arrives.
2026-08-02 02:15:51 +03:00
Ahmed Allam 742f382836 docs(core): correct the rationale for notifying a stalled child's parent
The user can message any agent from the TUI, not only the root, so the
justification is that the parent is an agent with no other way to learn
the child parked - not that the child has no human resumer.
2026-08-02 02:15:51 +03:00
Ahmed Allam 8f1bb64d16 fix(core): tell the parent when an interactive subagent parks
Parking is self-service only for the root, which the user is watching.
A parked child owes its parent a report it can no longer send, so the
parent would wait out its full timeout for nothing.
2026-08-02 02:15:51 +03:00
Ahmed Allam 49057f267f fix(tools): halve the wait_for_message ceiling to 300s
A mutual wait between two agents resolves only when both hit their cap,
so the ceiling is the worst-case idle burn. Name the constants instead of
repeating the literal, and align the interactive auto-resume timeout.
2026-08-02 02:15:51 +03:00
Ahmed Allam 6eec34df24 fix(core): persist the tool-call recovery counter across resumes
An exhausted agent parked in 'waiting' got a fresh nudge budget on every
600s auto-resume, so a wedged agent could nudge-park-nudge indefinitely.
Track the count on the coordinator, snapshot it, and reset it only on
real input or an explicit lifecycle tool.
2026-08-02 02:15:51 +03:00
Ahmed Allam f6f9469e00 fix(core): stop interactive runs stalling on a missing tool call
Interactive turns ended by plain text left the agent parked in 'waiting'
forever. Require an explicit lifecycle tool in both modes and nudge a
text-only turn back into a tool call, bounded by a recovery limit.
2026-08-02 02:15:51 +03:00
devin-ai-integration[bot] 5602bc23ca fix: pre-v1-style lifecycle resilience — mailbox delivery, uniform revival, unexitable runner, waiting timeout, broader retries, crash-safe identity (#923) 2026-08-01 11:17:08 -07:00
alex s a9deb84260 fix(llm): surface structured provider refusals (#944)
* fix(llm): surface structured provider refusals

* fix(llm): settle refused autonomous agents
2026-07-31 10:57:42 -04:00
devin-ai-integration[bot] d4e58b2cd0 fix(llm): pass LLM_EXTRA_HEADERS through ModelSettings so they reach the agent loop (#937) 2026-07-29 19:38:06 -07:00
devin-ai-integration[bot]andAhmed Allam e037d8d727 fix: recoverable guardrail blocks and decoupled crash-notify (#919)
Co-authored-by: Ahmed Allam <ahmed39652003@gmail.com>
2026-07-27 16:28:48 -07:00
Ahmed Allam 082d4ae62c fix(runtime): wake parent when child hits a terminal state (MaxTurnsExceeded) 2026-07-27 04:27:21 -07:00
devin-ai-integration[bot]andAhmed Allam c55a8fa4ba feat(runtime): graduated wrap-up warnings, budget reserve, and interactive budget pause/continue (#893)
Co-authored-by: Ahmed Allam <ahmed39652003@gmail.com>
2026-07-26 20:37:14 -07:00
27f9750cdc feat(llm): enable Bedrock/Anthropic prompt caching for Claude models (#772)
Co-authored-by: Sean Turner <sean.turner@zerohash.com>
Co-authored-by: Ahmed Allam <ahmed39652003@gmail.com>
2026-07-26 17:12:57 -07:00
devin-ai-integration[bot]andAhmed Allam 384338cf31 fix(runtime): retry transient mid-stream provider errors instead of crashing the scan (#891)
Co-authored-by: Ahmed Allam <ahmed39652003@gmail.com>
2026-07-26 16:23:31 -07:00
devin-ai-integration[bot]andAhmed Allam 3b79e97f00 feat(context): spill oversized tool output into the sandbox workspace (#882)
Co-authored-by: Ahmed Allam <ahmed39652003@gmail.com>
2026-07-26 14:42:22 -07:00
devin-ai-integration[bot] 66a283b71b feat(context): model-aware conversation compaction for long scans (#881) 2026-07-26 14:39:41 -07:00
Ahmed Allam f23fadfbff Rename root agent to Strix 2026-07-25 11:40:05 -07:00
cd8270c98b Sign in with a ChatGPT subscription for inference (#854)
Co-authored-by: Jonathan Singer <jonathansinger@Jonathans-MacBook-Pro.local>
Co-authored-by: Jonathan Singer <jonathansinger@Mac-3004.lan>
Co-authored-by: Ahmed Allam <ahmed39652003@gmail.com>
2026-07-24 15:41:19 -07:00
yoni-at-strix f600f99103 Local run viewer: email reports, run history, and the platform suite (#813) 2026-07-21 08:13:03 -07:00
Ahmed Allam 3bb95ab43d fix(llm): add per-turn model request timeout so stalled streams fail fast and retry 2026-07-17 18:40:23 -07:00
devin-ai-integration[bot] f54ecb74f9 fix(report): restore cost tracking for OpenRouter and other LiteLLM-routed models (#801) 2026-07-17 13:38:23 -07:00
devin-ai-integration[bot]andAhmed Allam 96ca7e544d revert(proxy): drop overfit Caido reconnect/HTTPQL band-aids, keep serialization lock (#799)
Co-authored-by: Ahmed Allam <ahmed39652003@gmail.com>
2026-07-17 13:18:40 -07:00
devin-ai-integration[bot]andAlex Schapiro e4548cb28c fix(proxy,tooling): serialize+reconnect Caido client, actionable HTTPQL errors, sandbox tool guidance (#794)
* fix(proxy,tooling): serialize+reconnect Caido client, actionable HTTPQL errors, sandbox tool guidance

Addresses the top recurring agent tool-call failures observed in telemetry:

- proxy: the shared Caido client had no locking or reconnect, so concurrent
  agent calls raced ("Transport is already connected") and a dead transport
  poisoned the rest of the run ("Connector is closed"/"Server disconnected").
  Add an asyncio lock + bounded reconnect in caido_api.call_with_client (sandbox
  path) and a scan-wide caido_lock in the run context that host-side proxy tools
  hold around every call. Deterministic errors are not retried.
- proxy: list_requests now returns Caido's exact parser message, echoes the
  offending query, and includes a corrected-syntax hint so agents self-correct
  instead of retrying a broken HTTPQL filter.
- shell/prompt: document that write_stdin requires a process started with
  tty=true; nudge toward writing Python to a file over deeply-nested one-liners;
  note the venv pre-installs common libs.
- agent-browser: distinguish daemon/connection failures (run doctor, don't loop)
  from malformed commands; invoke directly (no sh -c wrapper).
- containers: use POSIX '.' instead of the bashism 'source' in generated rc
  files (fixes 'sh: source: not found'); add file + xxd and pre-install
  requests/httpx/beautifulsoup4/lxml/pyjwt/cryptography in the sandbox venv.
- tests: cover proxy serialization/reconnect/no-retry and HTTPQL errors.

* fix(proxy): host-side reconnect, close stale clients, don't retry mutations

Addresses Greptile review on the reconnect logic:

- Host path had no reconnect: a dead shared context client (Caido restart /
  network blip) previously disabled proxy tools for the rest of the scan. Add
  SharedCaidoClient, a serialized reconnect-safe holder stored once per scan in
  the run context and shared across agents. On a dead transport it rebuilds via
  reconnect_caido, which re-selects the SAME Caido project (preserving captured
  traffic) instead of creating a new empty one.
- Don't repeat completed mutations: call_with_client / SharedCaidoClient.call
  take idempotent=. Reads retry once on reconnect; replay + scope
  create/update/delete heal the client but re-raise instead of risking a
  double-apply.
- Don't leak replaced clients: the stale client is aclose()d (best-effort) on
  every reconnect.
- Extend tests to cover close-on-reconnect, non-idempotent re-raise, and the
  SharedCaidoClient holder.

* fix(proxy): close replacement Caido client when project.select fails

Addresses Greptile P1: in reconnect_caido (and bootstrap_caido) a successful
connect() followed by a failing project.select()/create() discarded the
connected client without closing it, so a missing/unavailable project could
leak a transport on every retry. Close the client before re-raising.

---------

Co-authored-by: Alex Schapiro <bearsyankees@gmail.com>
2026-07-17 13:31:57 -04:00
devin-ai-integration[bot] 899e07d3a2 fix(core): bound per-agent image memory (proactive budget + inherited-context scrub) (#779) 2026-07-15 18:13:42 -07:00
devin-ai-integration[bot]andAhmed Allam b959d528a2 Warn when configured LLM is not frontier-recommended (#586)
Co-authored-by: Ahmed Allam <ahmed39652003@gmail.com>
2026-07-13 17:41:44 -07:00
alex s a5f28c6b4b Add root scan prompt options (#750) 2026-07-12 12:31:15 -04:00
alex s c13960ae01 Support routed OpenAI required tool choice (#732) 2026-07-10 18:43:07 -04:00
alex s 22d327d21f feat(settings): add force_required_tool_choice to LlmSettings (#730)
feat(inputs): implement logic for required tool choice based on model

test(inputs): add tests for force_required_tool_choice behavior

test(runner): update tests to include force_required_tool_choice in settings
2026-07-10 18:36:33 -04:00
Rome Thorstenson 777005a42b fix: stop gracefully with resume hint on persistent RateLimitError (#261) (#593) 2026-06-29 07:31:54 -07:00
Rome Thorstenson 8cdf0683a3 fix(core): collapse child agent initial input into a single user message (#589) 2026-06-29 06:51:47 -07:00
Mads Hvelplund 7141ccff62 Support large target repos with with bind-mount option. (#577)
* fix: resolve pre-commit check failures

- Change RuntimeError to TypeError for type validation in report/writer.py
- Update pyupgrade to v3.21.2 for Python 3.14 compatibility

* chore: add pytest test infrastructure

Mirror the layout introduced on feature/438-token_budget: pytest +
pytest-asyncio dev deps, asyncio_mode auto, a tests.* mypy override, and
pytest in the mypy pre-commit hook deps so the tests/ package type-checks.

* feat: add --mount and large-target pre-flight for local repos (#492)

Large local targets were copied into the sandbox file-by-file via the SDK
LocalDir entry, which stalls on big repos and could leave /workspace empty.

- --mount <path> bind-mounts a host directory read-only at /workspace/<subdir>
  instead of copying it, bypassing the per-file stream.
- A size pre-flight (STRIX_MAX_LOCAL_COPY_MB, default 1024) fails fast with a
  clear message suggesting --mount when a non-mounted local target is too big.

* fix: reject empty --mount paths

An empty or whitespace-only --mount value resolves to the current working
directory and would silently bind-mount it into the sandbox. Reject it.

* fix: dedupe local targets so a dir is never both copied and mounted

If the same directory is passed via --target and --mount (or as duplicate
values), it previously produced two targets — copied AND bind-mounted, and
the copied one could trip the size pre-flight. Dedupe by resolved path,
preferring the bind mount.

* fix: treat non-positive STRIX_MAX_LOCAL_COPY_MB as disabled

Previously a value of 0 (or negative) made every local target count as
oversized, aborting all local scans. Now <= 0 disables the pre-flight.

* fix: log unreadable subtrees during size pre-flight

os.walk silently swallowed directory-listing errors, so a permission-denied
subtree could make a large repo under-count and slip past the pre-flight.
Surface such omissions via an onerror warning.

* docs: document --mount and STRIX_MAX_LOCAL_COPY_MB

Add CLI reference + example for --mount, document the size pre-flight env var,
note the read-only-is-not-a-hard-boundary caveat and that remote repos are not
size-checked, and clarify the backends docstring on when bind mounts apply.

* Update strix/interface/main.py


* Update strix/runtime/docker_client.py


---------
2026-06-22 12:41:42 -04:00