Extra files (knowledge trees, workspace files) reached the docker sandbox as
per-file read-only bind mounts whose parent directories docker created as
root, so the sandbox user could neither edit them nor create siblings. They
now travel as one tar archive uploaded after bring-up and unpacked as the
sandbox user, on every backend.
hatchling 1.32.1 made BuildHookInterface a two-parameter generic, so
subscripting it with one argument raises TypeError when the hook module
is imported and every from-source build fails. Subclass the unsubscripted
interface, which works on both the old and new generic signatures.
* Add api_type field to LlmSettings
Added 'api_type' field to LlmSettings for API path selection.
* Refactor API type handling in models.py
* Implement test for LlmSettings API type
Add test for API type override settings in LlmSettings.
* fix(tests): lint api_type test, cover the api_base override route, document STRIX_API_TYPE
* fix(models): keep LiteLLM chat-completions tool schema when STRIX_API_TYPE=responses
---------
Co-authored-by: RAJVARDHAN <95933896+vardhans07@users.noreply.github.com>
Do not remove pipx or other strix copies before checksum and
provenance succeed, so a failed verify cannot leave the user
with no working binary (#1267).
Exa /search is a neural search endpoint, not a chat model, so prepending
the Perplexity system prompt made Exa match the prompt's own vocabulary
(Kali, OWASP, apt, NIST) instead of the query. The system prompt stays
on the Perplexity path where it is a chat system message; the Exa
summary instruction is unchanged.
Add Vercel AI Gateway as an LLM provider option, mirroring the existing
provider pages. New guide, an overview card, and a nav entry after
OpenRouter. Docs only.
Agents mostly left http_exchange_ids empty because the only nudge was the
parameter docstring. The REPORTING rules now state that a finding validated
through the proxy is not fully filed until the ids of its proving exchanges
(exploit plus baseline) are attached, copied from list_requests/view_request,
omitted only for findings with no captured HTTP at all, and attached after
the fact with update_vulnerability_report when needed. The Caido section
tells agents to note the ids as they test.
error events now carry phase (startup/preflight/sandbox_init/agent_setup/
agent_loop) and the exception class name (plus its cause), never the message
or trace. Startup and preflight failures that exit(1) before the scan starts
are beaconed with a stable error_type instead of vanishing. scan_ended
distinguishes budget_exceeded, rate_limited, and headless agent_stopped
from user_exit.
Report the distinct set of skills used once on scan_ended instead of one
skill_loaded event per skill per prompt render. Mark PostHog events with
$process_person_profile=false (distinct_id is a throwaway session id, so
person profiles were never useful) and tag them with $lib/$lib_version.
The Docker checks import the Docker SDK on the main thread before the
warm-up join, so warming it saves nothing and leaves one module shared
between the two threads during the startup window.
The warm-up thread imports strix.core.runner while warm_up_llm and
preflight_model_connection import agents.models.interface. Both walk the
agents SDK graph from different entry points, CPython fails one side to
break the import-lock cycle, and the orphan purge then removes agents.*
from sys.modules while the main thread is still importing it, crashing
strix -n with KeyError: 'agents.models'.
- Every payment-required error now ends with a "Next step" line: the
platform hint when one is sent, else the topup command and the billing
URL for the configured platform. JSON output gets the same text as
next_step. The platform hint is no longer repeated inside the error.
- An archive file passed to --source is rejected with guidance to pass
the directory instead, which packs and excludes deps/build output.
- An oversize archive names its largest files and points to --exclude
and --dry-run --show-files.
- uploads request help points to scans start --source for local code.
A non-interactive agent's loop returns after its terminal state, yet
send_message_to_agent kept reporting messages to it as delivered and the
parent then waited out wait_for_agents on a reply that could never come.
- AgentRuntime.resumable records whether the loop parks for wake-ups after a
terminal state; run_agent_loop / _start_child_runner set it from interactive.
- AgentCoordinator.send returns False (nothing queued) for a terminal agent
that is not resumable; send_message_to_agent surfaces target_status and
delivery_status=not_delivered with a pointer to list_reports / get_report.
- wait_for_agents returns wait_outcome=no_active_agents at once when no other
agent is running or waiting in a non-interactive run.
- agent_finish reads the reports the finishing agent filed from the report
state and puts their ids in the completion report, the parent message
(filed_report_ids) and its own return payload, so parents no longer have to
infer what was filed from prose.
Add Claude Fable 5.1, Gemini 3.7 Flash, and Z.ai GLM-5.3 / GLM-5.3-Flash
to RECOMMENDED_MODEL_NAMES, add a Z.ai GLM frontier family so GLM-5.x is
accepted through OpenRouter and Novita routes, and drop the superseded
GPT-5.4, GPT-5.3-codex, Opus 4.8, Sonnet 4.6, Gemini 3.6 Flash, and
Qwen3.7 entries. Update the README, docs provider pages, quickstart, and
CLI hint strings to the same current models, including DeepSeek V4,
Kimi K3, and GLM-5.3.
pydantic-settings takes the first alias present in the environment, even
when it is empty. persist_current() must save that same alias, so an empty
LLM_API_KEY does not let a non-empty OPENAI_API_KEY sibling land in the
file and restore a credential the run did not use.
