npx_confusion: drop tooling identifier from registry control lookup

LiteLLM treats provider-qualified metadata lookups as an auth path.
Use the underlying model slug so context sizing cannot block the scan
loop in a device-code poll.

.github/workflows/build-release.yml

@@ -21,6 +21,8 @@ jobs:
             target: macos-x86_64
           - os: ubuntu-22.04
             target: linux-x86_64
+          - os: ubuntu-22.04-arm
+            target: linux-arm64
           - os: windows-latest
             target: windows-x86_64
 
@@ -43,6 +45,20 @@ jobs:
           uv sync --frozen
           uv run pyinstaller strix.spec --noconfirm
 
+          if [[ "${{ runner.os }}" == "Windows" ]]; then
+            dist/strix.exe --version
+          else
+            dist/strix --version
+          fi
+
+          if [[ "${{ matrix.target }}" == "linux-arm64" ]]; then
+            file dist/strix
+            file dist/strix | grep -q "ARM aarch64" || {
+              echo "::error::linux-arm64 artifact is not an ARM aarch64 binary"
+              exit 1
+            }
+          fi
+
           VERSION=$(grep '^version' pyproject.toml | head -1 | sed 's/.*"\(.*\)"/\1/')
           mkdir -p dist/release
 

.gitignore

@@ -1,8 +1,8 @@
 # Node / local-viewer SPA source (the built bundle in
-# strix/viewer/static/ is committed and shipped; do not ignore it)
+# strix/interface/viewer/static/ is committed and shipped; do not ignore it)
 node_modules/
-strix/viewer/frontend/node_modules/
-strix/viewer/frontend/.vite/
+strix/interface/viewer/frontend/node_modules/
+strix/interface/viewer/frontend/.vite/
 
 # Python
 __pycache__/

CONTRIBUTING.md

@@ -102,16 +102,16 @@ We welcome feature ideas! Please:
 ## 🖥️ Local viewer SPA
 
 `strix view` serves a prebuilt web UI whose source lives in
-`strix/viewer/frontend/` (a Vite + React project) and whose built output is
-committed to `strix/viewer/static/` and shipped in the package. End users never
-run a JS build. If you change anything under `strix/viewer/frontend/`, rebuild
+`strix/interface/viewer/frontend/` (a Vite + React project) and whose built output is
+committed to `strix/interface/viewer/static/` and shipped in the package. End users never
+run a JS build. If you change anything under `strix/interface/viewer/frontend/`, rebuild
 and commit the output:
 
 ```bash
-make viewer   # or: cd strix/viewer/frontend && npm ci && npm run build
+make viewer   # or: cd strix/interface/viewer/frontend && npm ci && npm run build
 ```
 
-Commit both the source change and the regenerated `strix/viewer/static/`.
+Commit both the source change and the regenerated `strix/interface/viewer/static/`.
 
 ## 🤝 Community
 

Makefile

@@ -69,8 +69,8 @@ clean:
 
 viewer:
 	@echo "🖥️  Building the local-viewer SPA..."
-	cd strix/viewer/frontend && npm ci && npm run build
-	@echo "✅ Viewer built to strix/viewer/static/ (commit the changes)."
+	cd strix/interface/viewer/frontend && npm ci && npm run build
+	@echo "✅ Viewer built to strix/interface/viewer/static/ (commit the changes)."
 
 dev: format lint type-check
 	@echo "✅ Development cycle complete!"

docs/advanced/configuration.mdx

@@ -19,6 +19,14 @@ Configure Strix using environment variables or a config file.
   Custom API base URL. Also accepts `OPENAI_API_BASE`, `LITELLM_BASE_URL`, or `OLLAMA_API_BASE`.
 </ParamField>
 
+<ParamField path="LLM_EXTRA_HEADERS" type="string">
+  Extra HTTP headers sent on every LLM request, as a JSON object (e.g.
+  `{"X-Feature-Key":"value","X-Tenant":"acme"}`). Useful for OpenAI-compatible
+  gateways that require attribution or routing headers in addition to the bearer
+  token. The bearer token itself still comes from `LLM_API_KEY`. Applies to both
+  the LiteLLM and native OpenAI routing paths.
+</ParamField>
+
 <ParamField path="LLM_TIMEOUT" default="300" type="integer">
   Request timeout in seconds for LLM calls.
 </ParamField>
@@ -55,6 +63,12 @@ affecting the agents that do the actual testing.
   model runs on a different endpoint than the main model.
 </ParamField>
 
+<ParamField path="DEDUPE_LLM_EXTRA_HEADERS" type="string">
+  Optional JSON object of extra HTTP headers sent on every deduplication-model
+  request, e.g. `{"X-Feature-Key":"value"}`. A dedicated dedupe model never
+  inherits `LLM_EXTRA_HEADERS`; set this when its endpoint needs custom headers.
+</ParamField>
+
 <ParamField path="STRIX_DEDUPE_REASONING_EFFORT" type="string">
   Reasoning effort for the deduplication model. Defaults to the model's own
   baseline when unset.

docs/llm-providers/local.mdx

@@ -54,3 +54,20 @@ If you use LM Studio, vLLM, or other runners:
 export STRIX_LLM="openai/local-model"
 export LLM_API_BASE="http://localhost:1234/v1"  # Adjust port as needed
 ```
+
+### Gateways that require custom headers
+
+Some OpenAI-compatible gateways require extra HTTP headers (for attribution or
+tenant routing) alongside the bearer token. Set them with `LLM_EXTRA_HEADERS` as
+a JSON object — they are sent on every request:
+
+```bash
+export STRIX_LLM="openai/your-model"
+export LLM_API_BASE="https://your-gateway.example/v1"
+export LLM_API_KEY="your-bearer-token"          # sent as Authorization: Bearer ...
+export LLM_EXTRA_HEADERS='{"X-Feature-Key":"value","X-Tenant":"acme"}'
+```
+
+For endpoints behind a private CA, point Strix at your certificate bundle with
+the standard `SSL_CERT_FILE=/path/to/ca-bundle.pem` — never disable TLS
+verification against a real endpoint.

docs/usage/cli.mdx

@@ -61,11 +61,28 @@ strix (--target <target> | --target-list <path> | --mount <path>) [options]
   Path to a custom config file (JSON) to use instead of `~/.strix/cli-config.json`.
 </ParamField>
 
-<ParamField path="--max-budget-usd" type="number">
+<ParamField path="--max-budget" type="number">
   Maximum LLM spend in USD for the whole scan, counted cumulatively across the
   root agent and every child agent. The budget is checked after each model
-  response; once the running cost reaches the threshold, the scan stops cleanly
-  with a `stopped` status (not a failure) and the sandbox is torn down.
+  response.
+
+  In non-interactive mode (`-n`), once the running cost reaches the threshold,
+  the scan stops cleanly with a `stopped` status (not a failure) and the sandbox
+  is torn down. Sub-agents are stopped early, at 90% of the budget, reserving
+  the final slice for the root agent to wind down and produce the final report.
+
+  In interactive mode, reaching the budget pauses the scan instead of ending
+  it: every agent parks, and sending any message resumes the scan with the cap
+  extended by the original budget amount. There is no sub-agent reserve in
+  interactive mode.
+
+  As the budget is approached, graduated wrap-up warnings are surfaced to
+  **every** agent so they can finish their work and call their lifecycle tool
+  before the hard stop. The bands sit just below each role's own stop point: the
+  root is warned at **70%, 85% and 95%** (it stops at 100%), while sub-agents are
+  warned at **75%, 80% and 85%** (they stop at the 90% reserve). In interactive
+  mode every agent uses the **70%, 85% and 95%** bands. Percentages shown in the
+  warnings are the real cumulative spend against the full budget.
 
   Must be greater than `0`. Omit the flag for no limit.
 
@@ -84,6 +101,19 @@ strix (--target <target> | --target-list <path> | --mount <path>) [options]
     counts.
 </ParamField>
 
+<ParamField path="--max-turns" type="integer" default="500">
+  Maximum number of turns (one model response plus its tool round) allotted to
+  **each** agent, applied per run. When an agent reaches this limit it is
+  force-stopped.
+
+  As the limit is approached, graduated wrap-up warnings (at 70%, 85% and 95%)
+  are injected into that agent's next model turn so it can prioritise its
+  remaining work and call its lifecycle tool (`finish_scan` for the root agent,
+  `agent_finish` for sub-agents) before the hard stop.
+
+  Must be greater than `0`.
+</ParamField>
+
 ## Examples
 
 ```bash
@@ -99,6 +129,9 @@ strix --target api.example.com --instruction "Focus on IDOR and auth bypass"
 # CI/CD mode
 strix -n --target ./ --scan-mode quick
 
+# Cap cost and per-agent turns
+strix --target https://example.com --max-budget 25 --max-turns 300
+
 # Force diff-scope against a specific base ref
 strix -n --target ./ --scan-mode quick --scope-mode diff --diff-base origin/main
 

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "strix-agent"
-version = "1.3.1"
+version = "1.4.1"
 description = "Open-source AI Hackers for your apps"
 readme = "README.md"
 license = "Apache-2.0"
@@ -79,10 +79,10 @@ build-backend = "hatchling.build"
 
 [tool.hatch.build.targets.wheel]
 packages = ["strix"]
-# The prebuilt viewer bundle under strix/viewer/static/ ships automatically
+# The prebuilt viewer bundle under strix/interface/viewer/static/ ships automatically
 # (hatchling includes non-.py files under the package). The Vite SOURCE lives
-# under the package dir too (strix/viewer/frontend/) but must never ship in the wheel.
-exclude = ["strix/viewer/frontend", "strix/viewer/frontend/**"]
+# under the package dir too (strix/interface/viewer/frontend/) but must never ship in the wheel.
+exclude = ["strix/interface/viewer/frontend", "strix/interface/viewer/frontend/**"]
 
 # ============================================================================
 # Type Checking Configuration
@@ -220,12 +220,13 @@ ignore = [
 # Stdlib HTTP handler overrides (do_GET/do_POST).
 "strix/interface/auth_cli.py" = ["N802"]
 "tests/test_codex_streaming.py" = ["N802"]
+"tests/test_disable_streaming.py" = ["N802"]
 "tests/test_report_pdf.py" = ["S105", "S106"]
 # Stdlib HTTP handler overrides (do_GET/do_POST) and lazy imports that avoid a
-# circular dependency with strix.telemetry / strix.viewer.report_pdf.
-"strix/viewer/server.py" = ["N802", "PLC0415"]
+# circular dependency with strix.telemetry / strix.interface.viewer.report_pdf.
+"strix/interface/viewer/server.py" = ["N802", "PLC0415"]
 # Lazy telemetry import to avoid importing PostHog before the viewer starts.
-"strix/viewer/cli.py" = ["PLC0415"]
+"strix/interface/viewer/cli.py" = ["PLC0415"]
 # Lazy imports inside functions to avoid circular dependency with
 # strix.telemetry / strix.report.dedupe / cvss.
 "strix/tools/notes/tools.py" = ["PLC0415", "TC002"]

scripts/install.sh

@@ -41,7 +41,7 @@ fi
 
 combo="$os-$arch"
 case "$combo" in
-  linux-x86_64|macos-x86_64|macos-arm64|windows-x86_64)
+  linux-x86_64|linux-arm64|macos-x86_64|macos-arm64|windows-x86_64)
     ;;
   *)
     echo -e "${RED}Unsupported OS/Arch: $os/$arch${NC}"

strix.spec

@@ -26,7 +26,7 @@ for tcss_file in strix_root.rglob('*.tcss'):
     datas.append((str(tcss_file), str(rel_path.parent)))
 
 # Prebuilt local-viewer SPA (served by `strix view`).
-viewer_static = strix_root / 'viewer' / 'static'
+viewer_static = strix_root / 'interface' / 'viewer' / 'static'
 for asset in viewer_static.rglob('*'):
     if asset.is_file():
         rel_path = asset.relative_to(project_root)
@@ -158,12 +158,12 @@ hiddenimports = [
     'strix.report.dedupe',
     'strix.report.state',
     'strix.report.writer',
-    'strix.viewer',
-    'strix.viewer.auth',
-    'strix.viewer.cli',
-    'strix.viewer.report_pdf',
-    'strix.viewer.server',
-    'strix.viewer.transcript',
+    'strix.interface.viewer',
+    'strix.interface.viewer.auth',
+    'strix.interface.viewer.cli',
+    'strix.interface.viewer.report_pdf',
+    'strix.interface.viewer.server',
+    'strix.interface.viewer.transcript',
 
     # PDF report generation + encryption
     'reportlab',

strix/agents/factory.py

@@ -16,6 +16,7 @@ from agents.tool import CustomTool, FunctionTool, Tool
 from pydantic import ValidationError
 
 from strix.agents.prompt import render_system_prompt
+from strix.config import load_settings
 from strix.tools.agents_graph.tools import (
     agent_finish,
     create_agent,
@@ -33,6 +34,7 @@ from strix.tools.notes.tools import (
     list_notes,
     update_note,
 )
+from strix.tools.output_store import bound_and_store, bound_text
 from strix.tools.proxy.tools import (
     list_requests,
     list_sitemap,
@@ -41,7 +43,12 @@ from strix.tools.proxy.tools import (
     view_request,
     view_sitemap_entry,
 )
-from strix.tools.reporting.tool import create_dependency_report, create_vulnerability_report
+from strix.tools.reporting.tool import (
+    create_dependency_report,
+    create_vulnerability_report,
+    get_report,
+    list_reports,
+)
 from strix.tools.thinking.tool import think
 from strix.tools.todo.tools import (
     create_todo,
@@ -103,8 +110,36 @@ def _extract_custom_input(tool: CustomTool, raw_input: str | dict[str, Any]) ->
     return value if isinstance(value, str) else ""
 
 
+def _tool_output_limits() -> tuple[int, int]:
+    context = load_settings().context
+    return context.tool_output_max_lines, context.tool_output_max_bytes
+
+
+async def _bound_result(result: Any) -> Any:
+    if not isinstance(result, str):
+        return result
+    max_lines, max_bytes = _tool_output_limits()
+    return await bound_and_store(result, max_lines=max_lines, max_bytes=max_bytes)
+
+
 def _format_tool_error(exc: Exception) -> str:
-    return str(exc) or exc.__class__.__name__
+    message = str(exc) or exc.__class__.__name__
+    max_lines, max_bytes = _tool_output_limits()
+    return bound_text(message, max_lines=max_lines, max_bytes=max_bytes)
+
+
+def _with_bounded_result(tool: FunctionTool) -> FunctionTool:
+    """Cap a tool's result size before it enters history (idempotent)."""
+    if getattr(tool, "_strix_bounded", False):
+        return tool
+    invoke_tool = tool.on_invoke_tool
+
+    async def invoke(ctx: Any, raw_input: str) -> Any:
+        return await _bound_result(await invoke_tool(ctx, raw_input))
+
+    tool.on_invoke_tool = invoke
+    tool._strix_bounded = True  # type: ignore[attr-defined]
+    return tool
 
 
 def _function_tool_with_error_result(tool: FunctionTool) -> FunctionTool:
@@ -112,7 +147,7 @@ def _function_tool_with_error_result(tool: FunctionTool) -> FunctionTool:
 
     async def invoke(ctx: Any, raw_input: str) -> Any:
         try:
-            return await invoke_tool(ctx, raw_input)
+            return await _bound_result(await invoke_tool(ctx, raw_input))
         except Exception as exc:  # noqa: BLE001 - tool errors should be model-visible results.
             logger.debug("Tool %s failed; returning error as result", tool.name, exc_info=True)
             return _format_tool_error(exc)
@@ -127,7 +162,7 @@ def _custom_tool_as_function_tool(tool: CustomTool) -> FunctionTool:
         if not custom_input:
             return f"`{_custom_tool_input_field(tool)}` must be a non-empty string."
         try:
-            return await tool.on_invoke_tool(ctx, custom_input)
+            return await _bound_result(await tool.on_invoke_tool(ctx, custom_input))
         except Exception as exc:  # noqa: BLE001 - matches SDK CustomTool error-as-result behavior.
             logger.debug("Tool %s failed; returning error as result", tool.name, exc_info=True)
             return _format_tool_error(exc)
@@ -159,12 +194,35 @@ def _custom_tool_as_function_tool(tool: CustomTool) -> FunctionTool:
     )
 
 
-def _configure_chat_completions_filesystem_tools(toolset: Any) -> None:
+def _bound_custom_tool(tool: CustomTool) -> CustomTool:
+    """Bound a native ``CustomTool`` result in place (Responses path)."""
+    invoke_tool = tool.on_invoke_tool
+
+    async def invoke(ctx: Any, raw_input: str) -> Any:
+        return await _bound_result(await invoke_tool(ctx, raw_input))
+
+    tool.on_invoke_tool = invoke
+    return tool
+
+
+def _configure_filesystem_tools(toolset: Any, *, chat_completions: bool) -> None:
     for name, tool in vars(toolset).items():
-        if isinstance(tool, CustomTool):
-            setattr(toolset, name, _custom_tool_as_function_tool(tool))
+        if chat_completions:
+            if isinstance(tool, CustomTool):
+                setattr(toolset, name, _custom_tool_as_function_tool(tool))
+            elif isinstance(tool, FunctionTool):
+                setattr(toolset, name, _function_tool_with_error_result(tool))
+        elif isinstance(tool, CustomTool):
+            setattr(toolset, name, _bound_custom_tool(tool))
         elif isinstance(tool, FunctionTool):
-            setattr(toolset, name, _function_tool_with_error_result(tool))
+            setattr(toolset, name, _with_bounded_result(tool))
+
+
+def _make_filesystem_configurator(*, chat_completions: bool) -> Any:
+    def configure(toolset: Any) -> None:
+        _configure_filesystem_tools(toolset, chat_completions=chat_completions)
+
+    return configure
 
 
 _CHARS_ESCAPE_RE = re.compile(r"\\(?:u[0-9a-fA-F]{4}|x[0-9a-fA-F]{2}|[0abtnvfr\\])")
@@ -205,6 +263,16 @@ def _format_validation_error(tool_name: str, exc: ValidationError) -> str:
     return f"{tool_name}: invalid arguments — " + "; ".join(parts)
 
 
+def _apply_shell_output_cap(parsed: dict[str, Any]) -> None:
+    """Clamp the SDK shell tools' ``max_output_tokens`` to the configured
+    ceiling; a smaller explicit value is respected."""
+    ceiling = load_settings().context.tool_output_max_tokens
+    requested = parsed.get("max_output_tokens")
+    parsed["max_output_tokens"] = (
+        ceiling if not isinstance(requested, int) or requested > ceiling else requested
+    )
+
+
 def _wrap_exec_command(tool: FunctionTool) -> FunctionTool:
     invoke_tool = tool.on_invoke_tool
 
@@ -213,8 +281,10 @@ def _wrap_exec_command(tool: FunctionTool) -> FunctionTool:
             parsed = json.loads(raw_input)
         except (json.JSONDecodeError, TypeError):
             parsed = None
-        if isinstance(parsed, dict) and "shell" not in parsed:
-            parsed["shell"] = "bash"
+        if isinstance(parsed, dict):
+            if "shell" not in parsed:
+                parsed["shell"] = "bash"
+            _apply_shell_output_cap(parsed)
             raw_input = json.dumps(parsed)
         try:
             return await invoke_tool(ctx, raw_input)
@@ -240,8 +310,10 @@ def _wrap_write_stdin(tool: FunctionTool) -> FunctionTool:
             parsed = json.loads(raw_input)
         except json.JSONDecodeError:
             parsed = None
-        if isinstance(parsed, dict) and isinstance(parsed.get("chars"), str):
-            parsed["chars"] = _decode_chars_escape(parsed["chars"])
+        if isinstance(parsed, dict):
+            if isinstance(parsed.get("chars"), str):
+                parsed["chars"] = _decode_chars_escape(parsed["chars"])
+            _apply_shell_output_cap(parsed)
             raw_input = json.dumps(parsed)
         try:
             return await invoke_tool(ctx, raw_input)
@@ -343,6 +415,8 @@ _BASE_TOOLS: tuple[Tool, ...] = (
     web_search,
     create_vulnerability_report,
     create_dependency_report,
+    list_reports,
+    get_report,
     list_requests,
     view_request,
     repeat_request,
@@ -440,6 +514,9 @@ def build_strix_agent(
     else:
         tools = [*_BASE_TOOLS, *agent_tools, agent_finish]
     _ensure_unique_tool_names(tools)
+    tools = [
+        _with_bounded_result(tool) if isinstance(tool, FunctionTool) else tool for tool in tools
+    ]
 
     logger.info(
         "Built %s agent '%s' (skills=%d, tools=%d, scan_mode=%s, whitebox=%s)",
@@ -459,8 +536,8 @@ def build_strix_agent(
         model=None,
         capabilities=[
             Filesystem(
-                configure_tools=(
-                    _configure_chat_completions_filesystem_tools if chat_completions_tools else None
+                configure_tools=_make_filesystem_configurator(
+                    chat_completions=chat_completions_tools,
                 ),
             ),
             Shell(

strix/agents/prompts/system_prompt.jinja

@@ -188,7 +188,7 @@ EFFICIENCY TACTICS:
   script fail with `ModuleNotFoundError`.
 - `exec_command` runs each command in a fresh non-interactive shell (plain
   pipes, no TTY). To drive an interactive or long-running process with
-  `write_stdin` — REPLs, `ssh`/`nc`/`ftp`, `msfconsole`, or to send Ctrl-C —
+  `write_stdin` — REPLs, `ssh`/`nc`/`ftp`, `sqlmap`, or to send Ctrl-C —
   you MUST start it with `exec_command(cmd="...", tty=true)` and then
   `write_stdin(session_id=<id>, chars="...")`. Calling `write_stdin` on a
   default (non-TTY) command or on a process that has already exited fails with
@@ -215,6 +215,7 @@ VALIDATION REQUIREMENTS:
 - A vulnerability is ONLY considered reported when a reporting agent uses create_vulnerability_report (or create_dependency_report for known-CVE dependency/supply-chain findings) with full details. Mentions in agent_finish, finish_scan, or generic messages are NOT sufficient
 - Reporting and fixing are ONE step, not two: when source is available, the reporting agent derives the concrete fix and files it INLINE via create_vulnerability_report (`code_locations` with `fix_before`/`fix_after` + `fix_pr_body`) — the report is not complete without it. Do NOT report first and then spawn a separate downstream agent to re-derive and re-apply the same patch; that just re-does the analysis and wastes tokens. (Do not silently patch a finding WITHOUT filing a report — the report, with its embedded fix, is the deliverable.)
 - DEDUPLICATION: The create_vulnerability_report tool uses LLM-based deduplication. If it rejects your report as a duplicate, DO NOT attempt to re-submit the same vulnerability. Accept the rejection and move on to testing other areas. The vulnerability has already been reported by another agent
+- REVIEWING FILED FINDINGS (orchestrator/root agent): use list_reports to see every vulnerability filed so far in this scan (by any agent, root or child) — metadata-first with per-severity counts — and get_report to read one finding in full by its id. These are read-only orchestration tools: the root agent uses them to track coverage, avoid dispatching work on already-covered ground, assemble the finish_scan executive summary, and reason about attack-chaining across confirmed findings. Leaf/specialist agents should NOT call them — just do your assigned testing and file findings. Each entry shows which agent filed it (agent_name), and your own entries are flagged by_you. list_notes/get_note do the same for notes.
 </execution_guidelines>
 
 <vulnerability_focus>

strix/config/__init__.py

@@ -17,6 +17,7 @@ from strix.config.loader import (
     persist_current,
 )
 from strix.config.settings import (
+    ContextSettings,
     DedupeSettings,
     IntegrationSettings,
     LlmSettings,
@@ -27,6 +28,7 @@ from strix.config.settings import (
 
 
 __all__ = [
+    "ContextSettings",
     "DedupeSettings",
     "IntegrationSettings",
     "LlmSettings",

strix/config/codex.py

@@ -18,12 +18,12 @@ import logging
 import secrets
 import threading
 import time
-import urllib.error
 import urllib.parse
-import urllib.request
 from pathlib import Path
 from typing import TYPE_CHECKING, Any
 
+import requests
+
 
 if TYPE_CHECKING:
     from collections.abc import Iterator
@@ -221,26 +221,19 @@ def _first(query: dict[str, list[str]], key: str) -> str | None:
 
 
 def _post_form(payload: dict[str, str]) -> dict[str, Any]:
-    body = urllib.parse.urlencode(payload).encode("ascii")
-    request = urllib.request.Request(  # noqa: S310 - fixed https OAuth endpoint
-        TOKEN_URL,
-        data=body,
-        headers={
-            "Content-Type": "application/x-www-form-urlencoded",
-            "Accept": "application/json",
-        },
-        method="POST",
-    )
     try:
-        with urllib.request.urlopen(  # noqa: S310  # nosec B310 - fixed https endpoint
-            request, timeout=_TOKEN_TIMEOUT
-        ) as response:
-            data = json.loads(response.read() or b"{}")
-    except urllib.error.HTTPError as exc:
-        detail = exc.read().decode("utf-8", "replace")[:300]
-        raise CodexAuthError("token_http_error", f"HTTP {exc.code}: {detail}") from exc
-    except (urllib.error.URLError, TimeoutError, OSError) as exc:
+        response = requests.post(
+            TOKEN_URL,
+            data=payload,
+            headers={"Accept": "application/json"},
+            timeout=_TOKEN_TIMEOUT,
+        )
+    except requests.RequestException as exc:
         raise CodexAuthError("unavailable", str(exc)) from exc
+    if response.status_code >= 400:
+        detail = response.text[:300]
+        raise CodexAuthError("token_http_error", f"HTTP {response.status_code}: {detail}")
+    data = json.loads(response.content or b"{}")
     if not isinstance(data, dict):
         raise CodexAuthError("bad_response", "token endpoint returned non-object")
     return data

strix/config/models.py

@@ -5,6 +5,7 @@ from __future__ import annotations
 import contextlib
 import inspect
 import os
+import time
 from typing import TYPE_CHECKING, Any
 
 from agents import (
@@ -13,6 +14,8 @@ from agents import (
     set_tracing_disabled,
 )
 from agents.model_settings import ModelSettings
+from agents.models.fake_id import FAKE_RESPONSES_ID
+from agents.models.interface import Model
 from agents.models.multi_provider import MultiProvider
 from agents.models.openai_responses import OpenAIResponsesModel
 from agents.retry import (
@@ -21,6 +24,8 @@ from agents.retry import (
     RetryPolicyContext,
     retry_policies,
 )
+from openai.types.responses import Response, ResponseCompletedEvent
+from openai.types.responses.response_usage import ResponseUsage
 from openai.types.shared import Reasoning
 
 from strix.config import codex
@@ -30,10 +35,17 @@ from strix.config.loader import load_settings
 if TYPE_CHECKING:
     from collections.abc import AsyncIterator
 
-    from agents.models.interface import Model, ModelProvider
+    from agents.agent_output import AgentOutputSchemaBase
+    from agents.handoffs import Handoff
+    from agents.items import ModelResponse, TResponseInputItem, TResponseStreamEvent
+    from agents.models.interface import ModelProvider, ModelTracing
+    from agents.retry import ModelRetryAdvice, ModelRetryAdviceRequest
+    from agents.tool import Tool
+    from agents.usage import Usage
     from openai import AsyncOpenAI
+    from openai.types.responses.response_prompt_param import ResponsePromptParam
 
-    from strix.config.settings import ReasoningEffort, Settings
+    from strix.config.settings import LlmSettings, ReasoningEffort, Settings
 
 
 def request_timeout_extra_args(timeout_s: float | None) -> dict[str, float] | None:
@@ -135,6 +147,124 @@ class _CodexResponsesModel(OpenAIResponsesModel):
                     await result
 
 
+class _NonStreamingModel(Model):
+    """Serve the SDK's streamed run loop from a single non-streaming request.
+
+    Some OpenAI-compatible gateways do not support Server-Sent Events, or
+    deliver them unreliably (dropping structured tool-call deltas, or stalling
+    mid-stream so the whole turn waits out the read timeout). The SDK run loop
+    Strix uses only issues streamed requests, so such a gateway fails every
+    turn. Opt in with ``LLM_DISABLE_STREAMING=true`` to wrap the resolved model
+    so each turn makes one non-streaming ``get_response`` (``stream:false`` on
+    the wire) and the completed result is replayed as a single terminal stream
+    event. The run loop then executes tools and emits run items from that final
+    response exactly as it would for a real stream, so nothing else changes.
+    """
+
+    def __init__(self, inner: Model) -> None:
+        self._inner = inner
+
+    async def close(self) -> None:
+        await self._inner.close()
+
+    def get_retry_advice(self, request: ModelRetryAdviceRequest) -> ModelRetryAdvice | None:
+        return self._inner.get_retry_advice(request)
+
+    async def get_response(
+        self,
+        system_instructions: str | None,
+        input: str | list[TResponseInputItem],  # noqa: A002
+        model_settings: ModelSettings,
+        tools: list[Tool],
+        output_schema: AgentOutputSchemaBase | None,
+        handoffs: list[Handoff],
+        tracing: ModelTracing,
+        *,
+        previous_response_id: str | None,
+        conversation_id: str | None,
+        prompt: ResponsePromptParam | None,
+    ) -> ModelResponse:
+        return await self._inner.get_response(
+            system_instructions,
+            input,
+            model_settings,
+            tools,
+            output_schema,
+            handoffs,
+            tracing,
+            previous_response_id=previous_response_id,
+            conversation_id=conversation_id,
+            prompt=prompt,
+        )
+
+    async def stream_response(
+        self,
+        system_instructions: str | None,
+        input: str | list[TResponseInputItem],  # noqa: A002
+        model_settings: ModelSettings,
+        tools: list[Tool],
+        output_schema: AgentOutputSchemaBase | None,
+        handoffs: list[Handoff],
+        tracing: ModelTracing,
+        *,
+        previous_response_id: str | None,
+        conversation_id: str | None,
+        prompt: ResponsePromptParam | None,
+    ) -> AsyncIterator[TResponseStreamEvent]:
+        response = await self._inner.get_response(
+            system_instructions,
+            input,
+            model_settings,
+            tools,
+            output_schema,
+            handoffs,
+            tracing,
+            previous_response_id=previous_response_id,
+            conversation_id=conversation_id,
+            prompt=prompt,
+        )
+        yield _completed_stream_event(response, getattr(self._inner, "model", None))
+
+
+def _completed_stream_event(
+    model_response: ModelResponse, model_name: object | None
+) -> TResponseStreamEvent:
+    """Wrap a non-streamed ``ModelResponse`` as the terminal event of a stream.
+
+    The run loop builds its authoritative per-turn response solely from the
+    ``response.completed`` event, so a single event carrying the full output
+    and usage is all it needs.
+    """
+    response = Response(
+        id=model_response.response_id or FAKE_RESPONSES_ID,
+        created_at=time.time(),
+        model=str(model_name) if model_name else "",
+        object="response",
+        output=list(model_response.output),
+        tool_choice="auto",
+        tools=[],
+        parallel_tool_calls=False,
+        usage=_response_usage(model_response.usage),
+    )
+    return ResponseCompletedEvent(
+        response=response,
+        sequence_number=0,
+        type="response.completed",
+    )
+
+
+def _response_usage(usage: Usage | None) -> ResponseUsage | None:
+    if usage is None:
+        return None
+    return ResponseUsage(
+        input_tokens=usage.input_tokens,
+        output_tokens=usage.output_tokens,
+        total_tokens=usage.total_tokens,
+        input_tokens_details=usage.input_tokens_details,
+        output_tokens_details=usage.output_tokens_details,
+    )
+
+
 class StrixProvider(MultiProvider):
     """Route any non-OpenAI prefix through LiteLLM with the prefix preserved,
     so users type ``deepseek/deepseek-chat`` rather than
@@ -159,14 +289,21 @@ class StrixProvider(MultiProvider):
         return self._get_fallback_provider("litellm"), original_model_name
 
     def get_model(self, model_name: str | None) -> Model:
+        llm = load_settings().llm
         slug = codex.subscription_model(model_name)
         if slug:
+            # The ChatGPT subscription backend is always streamed; it has no
+            # non-streaming mode to fall back to, so LLM_DISABLE_STREAMING
+            # does not apply here.
             return _CodexResponsesModel(
                 slug,
                 codex.get_subscription_client(),
-                reasoning_effort=load_settings().llm.reasoning_effort,
+                reasoning_effort=llm.reasoning_effort,
             )
-        return super().get_model(model_name)
+        model = super().get_model(model_name)
+        if llm.disable_streaming:
+            return _NonStreamingModel(model)
+        return model
 
 
 DEFAULT_MODEL_RETRY = ModelRetrySettings(
@@ -243,6 +380,7 @@ def configure_sdk_model_defaults(settings: Settings) -> None:
         set_default_openai_api("chat_completions")
     else:
         set_default_openai_api("responses")
+    _configure_extra_headers(llm)
 
 
 def _mirror_api_key_to_provider_env(model_name: str | None, api_key: str) -> None:
@@ -277,6 +415,51 @@ def _configure_litellm_compatibility() -> None:
     litellm.suppress_debug_info = True
 
     _register_litellm_cost_callback()
+    _install_openrouter_stream_cost_capture()
+
+
+def _install_openrouter_stream_cost_capture() -> None:
+    """Preserve OpenRouter's per-stream cost, which LiteLLM drops when streaming.
+
+    OpenRouter reports the real charge in ``usage.cost`` of the final stream
+    chunk, but LiteLLM rebuilds streamed responses from token-only fields and
+    discards it (its non-streamed path stashes the cost in hidden params; the
+    streaming path does not). Every scan streams, so without this the cost is
+    lost and Strix falls back to a cost-map estimate that is missing entirely
+    for new models (e.g. kimi-k3), reporting $0. Subclass the OpenRouter
+    streaming handler to record the cost keyed by response id so the cost
+    callback can recover the exact charge for the matching rebuilt response.
+    """
+    import litellm
+    from litellm.llms.openrouter.chat.transformation import (
+        OpenRouterChatCompletionStreamingHandler,
+        OpenrouterConfig,
+    )
+
+    from strix.report.state import streamed_openrouter_costs
+
+    class _StrixOpenRouterStreamingHandler(OpenRouterChatCompletionStreamingHandler):
+        def chunk_parser(self, chunk: dict[str, Any]) -> Any:
+            stream = super().chunk_parser(chunk)
+            streamed_openrouter_costs.remember(
+                chunk.get("id") or getattr(stream, "id", None), chunk.get("usage")
+            )
+            return stream
+
+    class _StrixOpenrouterConfig(OpenrouterConfig):
+        def get_model_response_iterator(
+            self, streaming_response: Any, sync_stream: bool, json_mode: bool | None = False
+        ) -> Any:
+            return _StrixOpenRouterStreamingHandler(
+                streaming_response=streaming_response,
+                sync_stream=sync_stream,
+                json_mode=json_mode,
+            )
+
+    # LiteLLM's provider-config factory reads litellm.OpenrouterConfig at call
+    # time, so overriding the attribute is enough for the subclass to take
+    # effect. (type: ignore — mypy rejects reassigning a class attribute.)
+    litellm.OpenrouterConfig = _StrixOpenrouterConfig  # type: ignore[misc]
 
 
 _OPENROUTER_ATTRIBUTION_HEADERS = {
@@ -302,6 +485,43 @@ def _configure_openrouter_attribution(model_name: str | None) -> None:
     litellm.headers = {**existing, **_OPENROUTER_ATTRIBUTION_HEADERS}  # type: ignore[assignment]
 
 
+def _configure_extra_headers(llm: LlmSettings) -> None:
+    """Send user-provided default headers on every LLM request.
+
+    Some OpenAI-compatible endpoints require extra HTTP headers (e.g. request
+    attribution or tenant routing) alongside the bearer token. Users supply
+    them via ``LLM_EXTRA_HEADERS``; they are applied to both routing paths:
+    the LiteLLM route (``litellm.headers``) and the SDK-native OpenAI route
+    (a default client carrying ``default_headers``), so they take effect
+    regardless of the ``STRIX_LLM`` prefix.
+    """
+    headers = llm.extra_headers
+    if not headers:
+        return
+    _merge_litellm_headers(headers)
+    _register_openai_client_with_headers(llm, headers)
+
+
+def _merge_litellm_headers(headers: dict[str, str]) -> None:
+    import litellm
+
+    current: object = litellm.headers
+    existing: dict[str, str] = current if isinstance(current, dict) else {}
+    litellm.headers = {**existing, **headers}  # type: ignore[assignment]
+
+
+def _register_openai_client_with_headers(llm: LlmSettings, headers: dict[str, str]) -> None:
+    from agents import set_default_openai_client
+    from openai import AsyncOpenAI
+
+    client = AsyncOpenAI(
+        api_key=llm.api_key or "not-needed",
+        base_url=llm.api_base,
+        default_headers=dict(headers),
+    )
+    set_default_openai_client(client, use_for_tracing=False)
+
+
 def _register_litellm_cost_callback() -> None:
     import litellm
 
@@ -429,3 +649,45 @@ def is_known_openai_bare_model(model_name: str) -> bool:
         return False
     entry = litellm.model_cost.get(name)
     return bool(entry and entry.get("litellm_provider") == "openai")
+
+
+def is_claude_model(model_name: str) -> bool:
+    return "claude" in (model_name or "").strip().lower()
+
+
+def is_bedrock_route(model_name: str) -> bool:
+    name = (model_name or "").strip().lower()
+    return name.startswith("bedrock/") or "anthropic." in name
+
+
+def _prompt_cache_name_candidates(model_name: str) -> list[str]:
+    # LiteLLM's model map keys the same model under several names; strip the
+    # route prefix, then leading dotted segments (region, provider).
+    name = (model_name or "").strip().lower()
+    for prefix in ("litellm/", "bedrock/"):
+        if name.startswith(prefix):
+            name = name[len(prefix) :]
+            break
+    candidates = [name]
+    rest = name
+    while "." in rest:
+        rest = rest.split(".", 1)[1]
+        candidates.append(rest)
+    return candidates
+
+
+def bedrock_route_supports_prompt_caching(model_name: str) -> bool:
+    # Bedrock rejects the cache marker for models LiteLLM's map doesn't
+    # recognise as cache-capable, so callers withhold it unless confirmed here.
+    import litellm
+
+    checker = getattr(getattr(litellm, "utils", None), "supports_prompt_caching", None)
+    for cand in _prompt_cache_name_candidates(model_name):
+        if checker is not None:
+            with contextlib.suppress(Exception):
+                if checker(cand):
+                    return True
+        entry = litellm.model_cost.get(cand)
+        if entry and entry.get("supports_prompt_caching"):
+            return True
+    return False

strix/config/settings.py

@@ -35,11 +35,23 @@ class LlmSettings(BaseSettings):
             "OLLAMA_API_BASE",
         ),
     )
+    extra_headers: dict[str, str] | None = Field(
+        default=None,
+        alias="LLM_EXTRA_HEADERS",
+    )
     reasoning_effort: ReasoningEffort = Field(default="high", alias="STRIX_REASONING_EFFORT")
     force_required_tool_choice: bool = Field(
         default=False,
         alias="STRIX_FORCE_REQUIRED_TOOL_CHOICE",
     )
+    prompt_cache: bool = Field(
+        default=True,
+        alias="STRIX_PROMPT_CACHE",
+    )
+    disable_streaming: bool = Field(
+        default=False,
+        alias="LLM_DISABLE_STREAMING",
+    )
     timeout: int = Field(default=300, alias="LLM_TIMEOUT")
 
 
@@ -53,6 +65,30 @@ class DedupeSettings(BaseSettings):
     )
     api_key: str | None = Field(default=None, alias="DEDUPE_LLM_API_KEY")
     api_base: str | None = Field(default=None, alias="DEDUPE_LLM_API_BASE")
+    extra_headers: dict[str, str] | None = Field(
+        default=None,
+        alias="DEDUPE_LLM_EXTRA_HEADERS",
+    )
+
+
+class ContextSettings(BaseSettings):
+    """Context-window management: per-tool-output caps and history compaction."""
+
+    model_config = _BASE_CONFIG
+
+    auto_compact: bool = Field(default=True, alias="STRIX_CONTEXT_AUTO_COMPACT")
+    compact_buffer_tokens: int = Field(default=20_000, gt=0, alias="STRIX_CONTEXT_BUFFER_TOKENS")
+    keep_tokens: int = Field(default=8_000, gt=0, alias="STRIX_CONTEXT_KEEP_TOKENS")
+    fallback_context_tokens: int = Field(
+        default=200_000, gt=0, alias="STRIX_CONTEXT_FALLBACK_TOKENS"
+    )
+    summary_max_tokens: int = Field(default=4_096, gt=0, alias="STRIX_CONTEXT_SUMMARY_TOKENS")
+    tool_output_max_tokens: int = Field(default=8_000, gt=0, alias="STRIX_TOOL_OUTPUT_MAX_TOKENS")
+    tool_output_max_lines: int = Field(default=2_000, gt=0, alias="STRIX_TOOL_OUTPUT_MAX_LINES")
+    # Floor above the truncation-notice size so a preview always fits.
+    tool_output_max_bytes: int = Field(
+        default=50 * 1024, ge=1024, alias="STRIX_TOOL_OUTPUT_MAX_BYTES"
+    )
 
 
 class RuntimeSettings(BaseSettings):
@@ -99,6 +135,7 @@ class Settings(BaseSettings):
     llm: LlmSettings = Field(default_factory=LlmSettings)
     dedupe: DedupeSettings = Field(default_factory=DedupeSettings)
     runtime: RuntimeSettings = Field(default_factory=RuntimeSettings)
+    context: ContextSettings = Field(default_factory=ContextSettings)
     telemetry: TelemetrySettings = Field(default_factory=TelemetrySettings)
     integrations: IntegrationSettings = Field(default_factory=IntegrationSettings)
     viewer: ViewerSettings = Field(default_factory=ViewerSettings)

strix/core/agents.py

@@ -14,13 +14,15 @@ from strix.core.sessions import session_write_lock
 
 
 if TYPE_CHECKING:
+    from collections.abc import Callable
+
     from agents.items import TResponseInputItem
     from agents.memory import Session
 
 
 logger = logging.getLogger(__name__)
 
-Status = Literal["running", "waiting", "completed", "stopped", "crashed", "failed"]
+Status = Literal["running", "waiting", "completed", "stopped", "crashed", "failed", "budget_paused"]
 
 
 @dataclass(slots=True)
@@ -47,6 +49,9 @@ class AgentCoordinator:
         self._snapshot_path: Path | None = None
         self.is_shutting_down = False
         self._budget_stopped = False
+        self._reserve_stopped = False
+        self._budget_paused = False
+        self._extend_budget: Callable[[], None] | None = None
 
     def set_snapshot_path(self, path: Path) -> None:
         self._snapshot_path = path
@@ -65,6 +70,71 @@ class AgentCoordinator:
             for runtime in self.runtimes.values():
                 runtime.wake.set()
 
+    @property
+    def reserve_stopped(self) -> bool:
+        return self._reserve_stopped
+
+    @property
+    def budget_paused(self) -> bool:
+        return self._budget_paused
+
+    def set_budget_extender(self, extend: Callable[[], None]) -> None:
+        self._extend_budget = extend
+
+    async def pause_for_budget(self, agent_id: str) -> None:
+        async with self._lock:
+            self._budget_paused = True
+        await self.set_status(agent_id, "budget_paused")
+
+    async def resume_from_budget_pause(self, *, exclude: str | None = None) -> None:
+        async with self._lock:
+            if not self._budget_paused:
+                return
+            self._budget_paused = False
+            paused = [aid for aid, status in self.statuses.items() if status == "budget_paused"]
+        if self._extend_budget is not None:
+            self._extend_budget()
+        for aid in paused:
+            await self.set_status(aid, "waiting")
+            if aid != exclude:
+                await self.send(
+                    aid,
+                    {
+                        "from": "system",
+                        "type": "budget_extended",
+                        "content": (
+                            "[Budget] The user extended the scan budget \u2014 continue your "
+                            "current task."
+                        ),
+                    },
+                )
+
+    async def reset_budget_stops(
+        self,
+        *,
+        budget_stopped: bool,
+        reserve_stopped: bool,
+        budget_paused: bool = False,
+    ) -> None:
+        async with self._lock:
+            self._budget_stopped = budget_stopped
+            self._reserve_stopped = reserve_stopped
+            if not budget_paused:
+                self._budget_paused = False
+                for aid, status in self.statuses.items():
+                    if status == "budget_paused":
+                        self.statuses[aid] = "waiting"
+        await self._maybe_snapshot()
+
+    async def claim_reserve_notification(self) -> str | None:
+        async with self._lock:
+            if self._reserve_stopped:
+                return None
+            self._reserve_stopped = True
+            for runtime in self.runtimes.values():
+                runtime.wake.set()
+            return next((aid for aid, parent in self.parent_of.items() if parent is None), None)
+
     async def register(
         self,
         agent_id: str,
@@ -130,8 +200,12 @@ class AgentCoordinator:
         logger.info("agent.status %s=%s", agent_id, status)
         await self._maybe_snapshot()
 
-    async def send(self, target_agent_id: str, message: dict[str, Any]) -> bool:
+    async def send(
+        self, target_agent_id: str, message: dict[str, Any], *, interrupt: bool = True
+    ) -> bool:
         """Deliver a user/peer message by appending it to the target SDK session."""
+        if message.get("from") == "user" and self._budget_paused:
+            await self.resume_from_budget_pause(exclude=target_agent_id)
         async with self._lock:
             if target_agent_id not in self.statuses:
                 logger.debug("agent.send dropped unknown target=%s", target_agent_id)
@@ -139,7 +213,7 @@ class AgentCoordinator:
             runtime = self.runtimes.setdefault(target_agent_id, AgentRuntime())
             session = runtime.session
             stream = runtime.stream
-            interrupt = runtime.interrupt_on_message
+            interrupt_on_message = runtime.interrupt_on_message
         if session is None:
             logger.warning(
                 "agent.send dropped target=%s because its SDK session is not attached",
@@ -158,7 +232,7 @@ class AgentCoordinator:
         async with self._lock:
             self.pending_counts[target_agent_id] = self.pending_counts.get(target_agent_id, 0) + 1
             self.runtimes.setdefault(target_agent_id, AgentRuntime()).wake.set()
-        if stream is not None and interrupt:
+        if stream is not None and interrupt and interrupt_on_message:
             stream.cancel(mode="immediate")
         await self._maybe_snapshot()
         return True
@@ -166,7 +240,8 @@ class AgentCoordinator:
     async def wait_for_message(self, agent_id: str) -> None:
         while True:
             async with self._lock:
-                if self._budget_stopped or self.pending_counts.get(agent_id, 0) > 0:
+                reserve_exit = self._reserve_stopped and self.parent_of.get(agent_id) is not None
+                if self._budget_stopped or reserve_exit or self.pending_counts.get(agent_id, 0) > 0:
                     return
                 wake = self.runtimes.setdefault(agent_id, AgentRuntime()).wake
                 wake.clear()
@@ -300,6 +375,9 @@ class AgentCoordinator:
                 "metadata": {aid: dict(md) for aid, md in self.metadata.items()},
                 "pending_counts": dict(self.pending_counts),
                 "errors": dict(self.errors),
+                "budget_stopped": self._budget_stopped,
+                "reserve_stopped": self._reserve_stopped,
+                "budget_paused": self._budget_paused,
             }
 
     async def restore(self, snap: dict[str, Any]) -> None:
@@ -310,6 +388,9 @@ class AgentCoordinator:
             self.metadata = {aid: dict(md) for aid, md in snap.get("metadata", {}).items()}
             self.pending_counts = dict(snap.get("pending_counts", {}))
             self.errors = dict(snap.get("errors", {}))
+            self._budget_stopped = bool(snap.get("budget_stopped", False))
+            self._reserve_stopped = bool(snap.get("reserve_stopped", False))
+            self._budget_paused = bool(snap.get("budget_paused", False))
             for aid in self.statuses:
                 self.runtimes.setdefault(aid, AgentRuntime())
 

strix/core/execution.py

@@ -13,15 +13,27 @@ from agents import RunConfig, Runner
 from agents.exceptions import AgentsException, MaxTurnsExceeded, UserError
 from agents.sandbox.errors import ExecTransportError
 from docker import errors as docker_errors  # type: ignore[import-untyped, unused-ignore]
-from openai import APIError
+from openai import (
+    APIConnectionError,
+    APIError,
+    APIStatusError,
+    APITimeoutError,
+    RateLimitError,
+)
 
-from strix.core.hooks import BudgetExceededError
+from strix.config import codex
+from strix.core.hooks import (
+    BudgetExceededError,
+    BudgetPausedError,
+    SubagentBudgetReservedError,
+)
 from strix.core.inputs import child_initial_input
 from strix.core.sessions import (
     enforce_image_budget,
     open_agent_session,
     strip_all_images_from_session,
 )
+from strix.llm.compaction import is_context_overflow, maybe_compact
 
 
 if TYPE_CHECKING:
@@ -40,6 +52,74 @@ logger = logging.getLogger(__name__)
 StreamEventSink = Callable[[str, Any], None]
 
 _INPUT_REJECTION_CODES = frozenset({400, 404, 422})
+_MAX_COMPACTIONS_PER_CYCLE = 2
+
+
+def _run_config_model(run_config: RunConfig) -> str | None:
+    return run_config.model if isinstance(run_config.model, str) else None
+
+
+def _agent_instructions(agent: Any) -> str:
+    instructions = getattr(agent, "instructions", None)
+    return instructions if isinstance(instructions, str) else ""
+
+
+def _agent_tools_text(agent: Any) -> str:
+    parts: list[str] = []
+    for tool in getattr(agent, "tools", []) or []:
+        name = getattr(tool, "name", "")
+        description = getattr(tool, "description", "") or ""
+        schema = getattr(tool, "params_json_schema", "") or ""
+        parts.append(f"{name} {description} {schema}")
+    return "\n".join(parts)
+
+
+async def _compact_session(
+    agent: Any, session: Session, run_config: RunConfig, *, force: bool
+) -> bool:
+    model = _run_config_model(run_config)
+    if session is None or model is None:
+        return False
+    return await maybe_compact(
+        session,
+        model=model,
+        instructions=_agent_instructions(agent),
+        tools_text=_agent_tools_text(agent),
+        force=force,
+    )
+
+
+_GUARDRAIL_PARK_ERROR = (
+    "Blocked by the model's content guardrail (flagged as a possible cybersecurity risk). "
+    "Set STRIX_LLM to a model that isn't blocked and resume the scan to continue."
+)
+
+_TRANSIENT_MODEL_STATUS_CODES = frozenset({408, 500, 502, 503, 504})
+_MAX_TRANSIENT_MODEL_RETRIES = 4
+_TRANSIENT_MODEL_RETRY_BASE_DELAY_S = 2.0
+_TRANSIENT_MODEL_RETRY_MAX_DELAY_S = 30.0
+
+
+def _model_error_status_code(exc: BaseException) -> int | None:
+    code = getattr(exc, "status_code", None)
+    return code if isinstance(code, int) else None
+
+
+def _is_transient_model_error(exc: BaseException) -> bool:
+    if isinstance(exc, RateLimitError):
+        return False
+    if isinstance(exc, APITimeoutError | APIConnectionError):
+        return True
+    if isinstance(exc, APIStatusError):
+        return exc.status_code in _TRANSIENT_MODEL_STATUS_CODES
+    if isinstance(exc, APIError):
+        return _model_error_status_code(exc) is None
+    return False
+
+
+def _transient_model_retry_delay(attempt: int) -> float:
+    delay = _TRANSIENT_MODEL_RETRY_BASE_DELAY_S * float(2 ** (attempt - 1))
+    return min(delay, _TRANSIENT_MODEL_RETRY_MAX_DELAY_S)
 
 
 async def run_agent_loop(
@@ -64,21 +144,34 @@ async def run_agent_loop(
     )
     result: RunResultBase | None = None
 
+    budget_stopped = coordinator.budget_stopped
+    reserve_stopped = coordinator.reserve_stopped
+    if budget_stopped:
+        await coordinator.set_status(agent_id, "stopped")
+        raise BudgetExceededError("scan budget reached")
+    if reserve_stopped and context.get("parent_id") is not None:
+        await coordinator.set_status(agent_id, "stopped")
+        raise SubagentBudgetReservedError("scan reached the sub-agent budget reserve")
+
+    if reserve_stopped and start_parked and interactive and context.get("parent_id") is None:
+        await coordinator.send(agent_id, _reserve_notice())
+
     if not (start_parked and interactive):
         if interactive:
-            result = await _run_cycle(
-                agent,
-                coordinator,
-                agent_id,
-                input_data=initial_input,
-                run_config=run_config,
-                context=context,
-                max_turns=max_turns,
-                session=session,
-                interactive=interactive,
-                event_sink=event_sink,
-                hooks=hooks,
-            )
+            with contextlib.suppress(BudgetPausedError):
+                result = await _run_cycle(
+                    agent,
+                    coordinator,
+                    agent_id,
+                    input_data=initial_input,
+                    run_config=run_config,
+                    context=context,
+                    max_turns=max_turns,
+                    session=session,
+                    interactive=interactive,
+                    event_sink=event_sink,
+                    hooks=hooks,
+                )
         else:
             result = await _run_noninteractive_until_lifecycle(
                 agent,
@@ -106,20 +199,25 @@ async def run_agent_loop(
             await coordinator.set_status(agent_id, "stopped")
             raise BudgetExceededError("scan budget reached")
 
+        if coordinator.reserve_stopped and context.get("parent_id") is not None:
+            await coordinator.set_status(agent_id, "stopped")
+            raise SubagentBudgetReservedError("scan reached the sub-agent budget reserve")
+
         await coordinator.consume_pending(agent_id)
-        result = await _run_cycle(
-            agent,
-            coordinator,
-            agent_id,
-            input_data=[],
-            run_config=run_config,
-            context=context,
-            max_turns=max_turns,
-            session=session,
-            interactive=interactive,
-            event_sink=event_sink,
-            hooks=hooks,
-        )
+        with contextlib.suppress(BudgetPausedError):
+            result = await _run_cycle(
+                agent,
+                coordinator,
+                agent_id,
+                input_data=[],
+                run_config=run_config,
+                context=context,
+                max_turns=max_turns,
+                session=session,
+                interactive=interactive,
+                event_sink=event_sink,
+                hooks=hooks,
+            )
 
 
 async def spawn_child_agent(
@@ -212,6 +310,7 @@ async def respawn_subagents(
             if coordinator.parent_of.get(aid) is None or aid == root_id:
                 continue
             md["_restored_status"] = status
+            md["_restored_error"] = coordinator.errors.get(aid)
             candidates.append(
                 (
                     aid,
@@ -224,7 +323,8 @@ async def respawn_subagents(
     for child_id, name, parent_id, md in candidates:
         try:
             restored_status = str(md.get("_restored_status") or "running")
-            start_parked = interactive and restored_status != "running"
+            recoverable_park = restored_status == "waiting" and bool(md.get("_restored_error"))
+            start_parked = interactive and restored_status != "running" and not recoverable_park
 
             if start_parked:
                 logger.warning(
@@ -291,6 +391,10 @@ async def _run_noninteractive_until_lifecycle(
             await coordinator.set_status(agent_id, "stopped")
             raise BudgetExceededError("scan budget reached")
 
+        if coordinator.reserve_stopped and context.get("parent_id") is not None:
+            await coordinator.set_status(agent_id, "stopped")
+            raise SubagentBudgetReservedError("scan reached the sub-agent budget reserve")
+
         result = await _run_cycle(
             agent,
             coordinator,
@@ -321,7 +425,7 @@ async def _run_noninteractive_until_lifecycle(
 
         if invalid_final_outputs >= invalid_final_output_limit:
             await coordinator.set_status(agent_id, "crashed")
-            await _notify_parent_on_crash(coordinator, agent_id, "crashed")
+            await _notify_parent_on_terminal(coordinator, agent_id, "crashed")
             raise MaxTurnsExceeded(
                 "Agent exhausted non-interactive recovery attempts without calling "
                 "finish_scan or agent_finish."
@@ -350,6 +454,8 @@ async def _run_cycle(  # noqa: PLR0912, PLR0915
     hooks: RunHooks[dict[str, Any]] | None,
 ) -> RunResultBase | None:
     image_strips = 0
+    compactions = 0
+    model_retries = 0
     while True:
         try:
             await coordinator.mark_running(agent_id)
@@ -360,6 +466,10 @@ async def _run_cycle(  # noqa: PLR0912, PLR0915
                         await enforce_image_budget(session, max_images)
                     except Exception:
                         logger.exception("image-budget enforcement failed for %s", agent_id)
+                try:
+                    await _compact_session(agent, session, run_config, force=False)
+                except Exception:
+                    logger.exception("proactive compaction failed for %s", agent_id)
             stream = Runner.run_streamed(
                 agent,
                 input=input_data,
@@ -380,9 +490,7 @@ async def _run_cycle(  # noqa: PLR0912, PLR0915
                                 logger.exception("stream event sink failed for %s", agent_id)
                     if stream.run_loop_exception is not None:
                         raise stream.run_loop_exception
-                except BudgetExceededError:
-                    # A RuntimeError subclass: re-raise explicitly so it is never
-                    # mistaken for the LiteLLM "after shutdown" race below.
+                except (BudgetExceededError, BudgetPausedError, SubagentBudgetReservedError):
                     raise
                 except RuntimeError as stream_exc:
                     if "after shutdown" not in str(stream_exc):
@@ -401,6 +509,15 @@ async def _run_cycle(  # noqa: PLR0912, PLR0915
                     )
             finally:
                 await coordinator.detach_stream(agent_id, stream)
+        except BudgetPausedError as exc:
+            logger.info("agent %s paused at the scan budget limit: %s", agent_id, exc)
+            await coordinator.pause_for_budget(agent_id)
+            raise
+        except SubagentBudgetReservedError as exc:
+            logger.info("sub-agent %s stopped at the budget reserve: %s", agent_id, exc)
+            await coordinator.set_status(agent_id, "stopped")
+            await _notify_root_on_budget_reserve(coordinator)
+            raise
         except BudgetExceededError as exc:
             logger.info(
                 "agent %s reached the scan budget limit; stopping the scan: %s", agent_id, exc
@@ -428,6 +545,45 @@ async def _run_cycle(  # noqa: PLR0912, PLR0915
                     )
                     input_data = []
                     continue
+            if (
+                compactions < _MAX_COMPACTIONS_PER_CYCLE
+                and session is not None
+                and is_context_overflow(exc)
+            ):
+                try:
+                    compacted = await _compact_session(agent, session, run_config, force=True)
+                except Exception:
+                    logger.exception("overflow compaction recovery failed for %s", agent_id)
+                    compacted = False
+                if compacted:
+                    compactions += 1
+                    logger.info(
+                        "Compacted %s session after context overflow; retrying (%d)",
+                        agent_id,
+                        compactions,
+                    )
+                    input_data = []
+                    continue
+            if model_retries < _MAX_TRANSIENT_MODEL_RETRIES and _is_transient_model_error(exc):
+                model_retries += 1
+                delay = _transient_model_retry_delay(model_retries)
+                logger.warning(
+                    "transient model/provider error for %s; replaying turn "
+                    "(attempt %d/%d, backoff %.1fs): %r",
+                    agent_id,
+                    model_retries,
+                    _MAX_TRANSIENT_MODEL_RETRIES,
+                    delay,
+                    exc,
+                )
+                await asyncio.sleep(delay)
+                if session is not None:
+                    input_data = []
+                continue
+            if codex.is_content_guardrail_error(exc):
+                return await _handle_content_guardrail(
+                    coordinator, agent_id, exc, interactive=interactive
+                )
             if not interactive:
                 raise
             if isinstance(exc, MaxTurnsExceeded):
@@ -438,13 +594,29 @@ async def _run_cycle(  # noqa: PLR0912, PLR0915
                 status = "crashed"
             logger.exception("agent run failed for %s; parking as %s", agent_id, status)
             await coordinator.set_status(agent_id, status, error=str(exc) or type(exc).__name__)
-            await _notify_parent_on_crash(coordinator, agent_id, status)
+            await _notify_parent_on_terminal(coordinator, agent_id, status)
             return None
         else:
             await _settle_run_result(coordinator, agent_id, interactive)
             return stream
 
 
+async def _handle_content_guardrail(
+    coordinator: AgentCoordinator,
+    agent_id: str,
+    exc: BaseException,
+    *,
+    interactive: bool,
+) -> RunResultBase | None:
+    logger.warning("agent %s blocked by the model's content guardrail: %s", agent_id, exc)
+    if interactive:
+        await coordinator.set_status(agent_id, "waiting", error=_GUARDRAIL_PARK_ERROR)
+        return None
+    await coordinator.set_status(agent_id, "failed", error=_GUARDRAIL_PARK_ERROR)
+    await _notify_parent_on_terminal(coordinator, agent_id, "failed")
+    return None
+
+
 async def _settle_run_result(
     coordinator: AgentCoordinator,
     agent_id: str,
@@ -502,12 +674,31 @@ async def _append_noninteractive_tool_required_message(
     return []
 
 
-async def _notify_parent_on_crash(
+_TERMINAL_NOTICE = {
+    "crashed": (
+        "[Agent crash] {name} ({agent_id}) terminated unexpectedly. "
+        "Stop waiting on this child unless you want to message it again."
+    ),
+    "failed": (
+        "[Agent failed] {name} ({agent_id}) stopped with an error and will not "
+        "send a completion report. Stop waiting on this child unless you want to "
+        "message it again."
+    ),
+    "stopped": (
+        "[Agent capped] {name} ({agent_id}) hit its turn limit and was stopped "
+        "before finishing. It will not send a completion report, so stop waiting "
+        "on this child; account for its capped subtask and continue."
+    ),
+}
+
+
+async def _notify_parent_on_terminal(
     coordinator: AgentCoordinator,
     agent_id: str,
     status: str,
 ) -> None:
-    if status != "crashed":
+    template = _TERMINAL_NOTICE.get(status)
+    if template is None:
         return
     async with coordinator._lock:
         parent = coordinator.parent_of.get(agent_id)
@@ -518,16 +709,36 @@ async def _notify_parent_on_crash(
         parent,
         {
             "from": agent_id,
-            "type": "crash",
+            "type": status,
             "priority": "high",
-            "content": (
-                f"[Agent crash] {name} ({agent_id}) terminated unexpectedly. "
-                "Stop waiting on this child unless you want to message it again."
-            ),
+            "content": template.format(name=name, agent_id=agent_id),
         },
+        interrupt=False,
     )
 
 
+def _reserve_notice() -> dict[str, Any]:
+    return {
+        "from": "system",
+        "type": "budget_reserve_stop",
+        "priority": "high",
+        "content": (
+            "[Budget reserve] The scan has reached the sub-agent budget reserve: every "
+            "sub-agent is being force-stopped as soon as its in-flight turn completes, and "
+            "none will send a completion report. Their confirmed vulnerabilities are "
+            "already filed as they were found. Do not wait on any sub-agents and do not "
+            "spawn new ones — wrap up now and call finish_scan."
+        ),
+    }
+
+
+async def _notify_root_on_budget_reserve(coordinator: AgentCoordinator) -> None:
+    root = await coordinator.claim_reserve_notification()
+    if root is None:
+        return
+    await coordinator.send(root, _reserve_notice())
+
+
 async def _start_child_runner(
     *,
     parent_ctx: dict[str, Any],
@@ -579,6 +790,8 @@ async def _start_child_runner(
             )
         except BudgetExceededError:
             logger.info("child %s stopped after reaching the scan budget limit", child_id)
+        except SubagentBudgetReservedError:
+            logger.info("child %s stopped at the sub-agent budget reserve", child_id)
 
     task_handle = asyncio.create_task(_child_loop(), name=f"agent-{name}-{child_id}")
     await coordinator.attach_runtime(child_id, task=task_handle)

strix/core/hooks.py

@@ -14,26 +14,210 @@ from strix.report.state import get_global_report_state
 if TYPE_CHECKING:
     from agents import RunContextWrapper
     from agents.agent import Agent
-    from agents.items import ModelResponse
+    from agents.items import ModelResponse, TResponseInputItem
 
 
 logger = logging.getLogger(__name__)
 
 
+_STAGE_LABELS: tuple[str, ...] = ("NOTICE", "URGENT", "CRITICAL")
+_TURN_WARN_BANDS: tuple[float, ...] = (0.70, 0.85, 0.95)
+_ROOT_BUDGET_WARN_BANDS: tuple[float, ...] = (0.70, 0.85, 0.95)
+_SUBAGENT_BUDGET_WARN_BANDS: tuple[float, ...] = (0.75, 0.80, 0.85)
+_SUBAGENT_BUDGET_RESERVE = 0.90
+
+
 class BudgetExceededError(RuntimeError):
     """Raised when the accumulated LLM cost reaches the configured budget."""
 
 
-class ReportUsageHooks(RunHooks[dict[str, Any]]):
-    """Persist SDK-native usage after every model response."""
+class SubagentBudgetReservedError(RuntimeError):
+    """Raised to stop a single sub-agent once the reserve threshold is crossed."""
 
-    def __init__(self, *, model: str, max_budget_usd: float | None = None) -> None:
+
+class BudgetPausedError(RuntimeError):
+    """Raised to park one agent when an interactive scan reaches its budget."""
+
+
+def recomputed_budget_flags(
+    cost: float,
+    max_budget_usd: float | None,
+    *,
+    interactive: bool,
+) -> tuple[bool, bool]:
+    """Return the (budget_stopped, reserve_stopped) flags a resumed scan should carry."""
+    if max_budget_usd is None:
+        return False, False
+    if interactive:
+        return False, False
+    budget_stopped = cost >= max_budget_usd
+    reserve_stopped = cost >= max_budget_usd * _SUBAGENT_BUDGET_RESERVE
+    return budget_stopped, reserve_stopped
+
+
+def _crossed_stage(fraction: float, bands: tuple[float, ...]) -> int | None:
+    crossed: int | None = None
+    for index, band in enumerate(bands):
+        if fraction >= band:
+            crossed = index
+    return crossed
+
+
+_ROOT_DIRECTIVES: tuple[str, ...] = (
+    (
+        "As the root agent, begin planning your wind-down of the whole scan: avoid "
+        "starting large new lines of investigation, and keep your required objectives on "
+        "track so you can call finish_scan comfortably before the limit."
+    ),
+    (
+        "As the root agent, prioritize wrapping up the whole scan now: stop opening new "
+        "lines of investigation, close out only what is essential, and move toward calling "
+        "finish_scan to compile and deliver the final report."
+    ),
+    (
+        "As the root agent, STOP all other work on the whole scan and finish immediately: "
+        "secure your findings and call finish_scan now — anything left unfinished when the "
+        "limit is hit is discarded."
+    ),
+)
+_SUBAGENT_DIRECTIVES: tuple[str, ...] = (
+    (
+        "As a sub-agent, begin planning your wind-down: avoid starting large new subtasks, "
+        "and if you are close to a confirmed, validated vulnerability, drive it to a result "
+        "you can report."
+    ),
+    (
+        "As a sub-agent, prioritize wrapping up your task now: report any confirmed, "
+        "validated vulnerability, finish work that is nearly done rather than starting "
+        "anything new, and prepare to call agent_finish."
+    ),
+    (
+        "As a sub-agent, STOP all other work and finish immediately: report any confirmed "
+        "vulnerability right now and call agent_finish to hand your results back to your "
+        "parent before you are cut off."
+    ),
+)
+
+
+def _wrapup_directive(context: RunContextWrapper[dict[str, Any]], stage: int) -> str:
+    is_root = context.context.get("parent_id") is None
+    directives = _ROOT_DIRECTIVES if is_root else _SUBAGENT_DIRECTIVES
+    return directives[stage]
+
+
+def _urgency(stage: int) -> str:
+    return _STAGE_LABELS[stage]
+
+
+class ReportUsageHooks(RunHooks[dict[str, Any]]):
+    """Persist SDK-native usage and warn/stop as turn and cost budgets are consumed."""
+
+    def __init__(
+        self,
+        *,
+        model: str,
+        max_budget_usd: float | None = None,
+        max_turns: int | None = None,
+        interactive: bool = False,
+    ) -> None:
         if max_budget_usd is not None and (
             not math.isfinite(max_budget_usd) or max_budget_usd <= 0
         ):
             raise ValueError("max_budget_usd must be a finite number greater than 0")
+        if max_turns is not None and max_turns <= 0:
+            raise ValueError("max_turns must be a positive integer")
         self._model = model
         self._max_budget_usd = max_budget_usd
+        self._budget_increment = max_budget_usd
+        self._max_turns = max_turns
+        self._interactive = interactive
+
+    def extend_budget(self) -> None:
+        if self._max_budget_usd is None or self._budget_increment is None:
+            return
+        self._max_budget_usd += self._budget_increment
+
+    async def on_llm_start(
+        self,
+        context: RunContextWrapper[dict[str, Any]],
+        agent: Agent[dict[str, Any]],  # noqa: ARG002
+        system_prompt: str | None,  # noqa: ARG002
+        input_items: list[TResponseInputItem],
+    ) -> None:
+        try:
+            self._maybe_warn_turns(context, input_items)
+            self._maybe_warn_budget(context, input_items)
+        except Exception:
+            logger.exception("budget/turn warning injection failed")
+
+    def _maybe_warn_turns(
+        self,
+        context: RunContextWrapper[dict[str, Any]],
+        input_items: list[TResponseInputItem],
+    ) -> None:
+        if not self._max_turns:
+            return
+        usage = getattr(context, "usage", None)
+        requests = getattr(usage, "requests", None)
+        if not isinstance(requests, int):
+            return
+        turns_used = requests + 1
+        stage = _crossed_stage(turns_used / self._max_turns, _TURN_WARN_BANDS)
+        if stage is None:
+            return
+        remaining = max(self._max_turns - turns_used, 0)
+        pct = round(100 * turns_used / self._max_turns)
+        content = (
+            f"[{_urgency(stage)}] Turn budget: {turns_used}/{self._max_turns} used ({pct}%). "
+            f"About {remaining} turn(s) remain before this agent is force-stopped and any "
+            f"in-progress work is discarded. {_wrapup_directive(context, stage)}"
+        )
+        input_items.append({"role": "user", "content": content})
+
+    def _maybe_warn_budget(
+        self,
+        context: RunContextWrapper[dict[str, Any]],
+        input_items: list[TResponseInputItem],
+    ) -> None:
+        if self._max_budget_usd is None:
+            return
+        report_state = get_global_report_state()
+        if report_state is None:
+            return
+        cost = report_state.get_total_llm_cost()
+        is_root = context.context.get("parent_id") is None
+        if self._interactive:
+            bands = _ROOT_BUDGET_WARN_BANDS
+        else:
+            bands = _ROOT_BUDGET_WARN_BANDS if is_root else _SUBAGENT_BUDGET_WARN_BANDS
+        stage = _crossed_stage(cost / self._max_budget_usd, bands)
+        if stage is None:
+            return
+        pct = round(100 * cost / self._max_budget_usd)
+        reserve_pct = round(_SUBAGENT_BUDGET_RESERVE * 100)
+        if self._interactive:
+            content = (
+                f"[{_urgency(stage)}] Scan cost budget: ${cost:.2f}/${self._max_budget_usd:.2f} "
+                f"spent ({pct}%). This budget is shared across every agent in the scan; when it "
+                "is reached all agents are paused until the user chooses to continue. "
+                f"{_wrapup_directive(context, stage)}"
+            )
+        elif is_root:
+            content = (
+                f"[{_urgency(stage)}] Scan cost budget: ${cost:.2f}/${self._max_budget_usd:.2f} "
+                f"spent ({pct}%). This budget is shared across every agent in the scan; when it "
+                "is reached the whole scan is stopped immediately, and sub-agents are stopped at "
+                f"{reserve_pct}% to reserve the remainder for your final report. "
+                f"{_wrapup_directive(context, stage)}"
+            )
+        else:
+            content = (
+                f"[{_urgency(stage)}] Scan cost budget: ${cost:.2f}/${self._max_budget_usd:.2f} "
+                f"spent ({pct}%). This budget is shared across every agent in the scan; "
+                f"sub-agents are stopped at {reserve_pct}% to leave the remainder for the root "
+                f"agent's final report. {_wrapup_directive(context, stage)}"
+            )
+        input_items.append({"role": "user", "content": content})
 
     async def on_llm_end(
         self,
@@ -66,6 +250,21 @@ class ReportUsageHooks(RunHooks[dict[str, Any]]):
         if self._max_budget_usd is not None:
             cost = report_state.get_total_llm_cost()
             if cost >= self._max_budget_usd:
+                if self._interactive:
+                    raise BudgetPausedError(
+                        f"Scan budget of ${self._max_budget_usd:.2f} reached "
+                        f"(spent ${cost:.4f}); pausing until the user continues"
+                    )
                 raise BudgetExceededError(
                     f"Token budget of ${self._max_budget_usd:.2f} exceeded (spent ${cost:.4f})"
                 )
+            is_root = ctx.get("parent_id") is None
+            if not self._interactive and not is_root:
+                reserve_limit = self._max_budget_usd * _SUBAGENT_BUDGET_RESERVE
+                if cost >= reserve_limit:
+                    raise SubagentBudgetReservedError(
+                        f"Sub-agent budget reserve reached: spent ${cost:.4f} of "
+                        f"${self._max_budget_usd:.2f} "
+                        f"(>= {round(_SUBAGENT_BUDGET_RESERVE * 100)}% reserve); stopping this "
+                        "sub-agent so the root agent can finish the scan."
+                    )

strix/core/inputs.py

@@ -10,6 +10,9 @@ from openai.types.shared import Reasoning
 
 from strix.config.models import (
     DEFAULT_MODEL_RETRY,
+    bedrock_route_supports_prompt_caching,
+    is_bedrock_route,
+    is_claude_model,
     is_known_openai_bare_model,
     model_supports_reasoning,
     request_timeout_extra_args,
@@ -128,12 +131,15 @@ def make_model_settings(
     model_name: str,
     force_required_tool_choice: bool = False,
     request_timeout: float | None = None,
+    prompt_cache: bool = True,
+    extra_headers: dict[str, str] | None = None,
 ) -> ModelSettings:
     model_settings = ModelSettings(
         parallel_tool_calls=False,
         retry=DEFAULT_MODEL_RETRY,
         include_usage=True,
         extra_args=request_timeout_extra_args(request_timeout),
+        extra_headers=dict(extra_headers) if extra_headers else None,
     )
     if (
         reasoning_effort is not None
@@ -145,9 +151,38 @@ def make_model_settings(
         )
     if force_required_tool_choice and _accepts_required_tool_choice(model_name):
         model_settings = model_settings.resolve(ModelSettings(tool_choice="required"))
+
+    cache_extra_args = _prompt_cache_extra_args(model_name) if prompt_cache else None
+    if cache_extra_args:
+        model_settings = model_settings.resolve(
+            ModelSettings(
+                extra_args={**(model_settings.extra_args or {}), **cache_extra_args},
+            ),
+        )
     return model_settings
 
 
+def _prompt_cache_extra_args(model_name: str) -> dict[str, Any] | None:
+    """LiteLLM ``cache_control_injection_points`` for Claude prompt caching.
+
+    System prompt + rolling last-message breakpoint everywhere; ``tool_config``
+    only on Bedrock Converse (the only route whose LiteLLM transform consumes
+    it — elsewhere it leaks onto the wire and native Anthropic 400s). Unmapped
+    Bedrock models get no points at all: Bedrock rejects the passed-through
+    field outright.
+    """
+    if not is_claude_model(model_name):
+        return None
+    if is_bedrock_route(model_name) and not bedrock_route_supports_prompt_caching(model_name):
+        return None
+
+    points: list[dict[str, Any]] = [{"location": "message", "role": "system"}]
+    if is_bedrock_route(model_name):
+        points.append({"location": "tool_config"})
+    points.append({"location": "message", "index": -1})
+    return {"cache_control_injection_points": points}
+
+
 def child_initial_input(
     *,
     name: str,

strix/core/runner.py

@@ -3,10 +3,12 @@
 from __future__ import annotations
 
 import contextlib
+import io
 import json
 import logging
 import uuid
 from collections.abc import Callable
+from pathlib import Path
 from typing import TYPE_CHECKING, Any
 
 from agents import RunConfig
@@ -29,7 +31,7 @@ from strix.core.execution import (
 from strix.core.execution import (
     spawn_child_agent as start_child_agent,
 )
-from strix.core.hooks import BudgetExceededError, ReportUsageHooks
+from strix.core.hooks import BudgetExceededError, ReportUsageHooks, recomputed_budget_flags
 from strix.core.inputs import (
     DEFAULT_MAX_TURNS,
     build_root_task,
@@ -38,8 +40,13 @@ from strix.core.inputs import (
 )
 from strix.core.paths import run_dir_for, runtime_state_dir
 from strix.core.sessions import open_agent_session
+from strix.report.state import get_global_report_state
 from strix.runtime import session_manager
 from strix.telemetry.logging import set_scan_id, setup_scan_logging
+from strix.tools.output_store import (
+    WORKSPACE_SPILL_DIR,
+    configure_spill_writer,
+)
 
 
 if TYPE_CHECKING:
@@ -179,6 +186,18 @@ async def run_strix_scan(
                 f"Cannot resume scan {scan_id}: missing SDK session database at {agents_db}",
             )
         await coordinator.restore(snap)
+        report_state = get_global_report_state()
+        if report_state is not None:
+            budget_stopped, reserve_stopped = recomputed_budget_flags(
+                report_state.get_total_llm_cost(),
+                max_budget_usd,
+                interactive=interactive,
+            )
+            await coordinator.reset_budget_stops(
+                budget_stopped=budget_stopped,
+                reserve_stopped=reserve_stopped,
+                budget_paused=interactive and coordinator.budget_paused,
+            )
         for aid, parent in coordinator.parent_of.items():
             if parent is None:
                 root_id = aid
@@ -203,6 +222,20 @@ async def run_strix_scan(
     )
     logger.info("Sandbox ready for scan %s", scan_id)
 
+    sandbox_session = bundle["session"]
+
+    async def _spill_to_workspace(output_id: str, text: str) -> str | None:
+        """Write an oversized tool result into the sandbox; return its path or None."""
+        path = f"{WORKSPACE_SPILL_DIR}/{output_id}.txt"
+        try:
+            await sandbox_session.write(Path(path), io.BytesIO(text.encode("utf-8")))
+        except Exception:
+            logger.exception("failed to spill tool output to sandbox workspace")
+            return None
+        return path
+
+    configure_spill_writer(_spill_to_workspace)
+
     sessions_to_close: list[SQLiteSession] = []
 
     try:
@@ -216,6 +249,8 @@ async def run_strix_scan(
             model_name=resolved_model,
             force_required_tool_choice=settings.llm.force_required_tool_choice,
             request_timeout=settings.llm.timeout,
+            prompt_cache=settings.llm.prompt_cache,
+            extra_headers=settings.llm.extra_headers,
         )
         run_config = RunConfig(
             model=resolved_model,
@@ -224,7 +259,14 @@ async def run_strix_scan(
             sandbox=SandboxRunConfig(client=bundle["client"], session=bundle["session"]),
             trace_include_sensitive_data=False,
         )
-        hooks = ReportUsageHooks(model=resolved_model, max_budget_usd=max_budget_usd)
+        hooks = ReportUsageHooks(
+            model=resolved_model,
+            max_budget_usd=max_budget_usd,
+            max_turns=max_turns,
+            interactive=interactive,
+        )
+        if interactive:
+            coordinator.set_budget_extender(hooks.extend_budget)
 
         scope_context = build_scope_context(scan_config)
         root_context = _merge_root_prompt_context(scope_context, extra_system_prompt_context)
@@ -335,6 +377,12 @@ async def run_strix_scan(
 
         async with coordinator._lock:
             root_status = coordinator.statuses.get(root_id)
+            root_error = coordinator.errors.get(root_id)
+
+        root_recoverable_park = root_status == "waiting" and bool(root_error)
+        root_start_parked = bool(
+            interactive and is_resume and root_status != "running" and not root_recoverable_park
+        )
 
         result = await run_agent_loop(
             agent=root_agent,
@@ -346,7 +394,7 @@ async def run_strix_scan(
             agent_id=root_id,
             interactive=interactive,
             session=root_session,
-            start_parked=bool(interactive and is_resume and root_status != "running"),
+            start_parked=root_start_parked,
             event_sink=event_sink,
             hooks=hooks,
         )
@@ -399,6 +447,7 @@ async def run_strix_scan(
                 await coordinator.set_status(root_id, "failed")
         raise
     finally:
+        configure_spill_writer(None)
         for s in sessions_to_close:
             with contextlib.suppress(Exception):
                 s.close()

strix/core/sessions.py

@@ -92,6 +92,39 @@ async def _rewrite_session(
         return True
 
 
+async def replace_session_items(
+    session: Session,
+    new_items: list[Any],
+    *,
+    expected_len: int | None = None,
+) -> bool:
+    """Overwrite the session's items, restoring the originals on failure.
+
+    When ``expected_len`` is given, the rewrite is skipped if the session no
+    longer has that many items (a concurrent writer changed it), so a slow
+    compaction summary can't clobber newer turns.
+    """
+    async with session_write_lock(session):
+        original = list(await session.get_items())
+        if expected_len is not None and len(original) != expected_len:
+            logger.warning(
+                "skipping session rewrite: expected %d items, found %d",
+                expected_len,
+                len(original),
+            )
+            return False
+        rebuilt = cast("list[TResponseInputItem]", new_items)
+        await session.clear_session()
+        try:
+            await session.add_items(rebuilt)
+        except Exception:
+            logger.exception("session rewrite failed; restoring original items")
+            await session.clear_session()
+            await session.add_items(original)
+            raise
+        return True
+
+
 async def strip_all_images_from_session(session: Session) -> bool:
     """Replace every image tool output with a text placeholder (rejection recovery)."""
 

strix/interface/cli.py

@@ -13,6 +13,7 @@ from rich.panel import Panel
 from rich.text import Text
 
 from strix.config import load_settings
+from strix.core.inputs import DEFAULT_MAX_TURNS
 from strix.core.runner import run_strix_scan
 from strix.report.state import ReportState, set_global_report_state
 from strix.runtime import session_manager
@@ -184,6 +185,7 @@ async def run_cli(args: Any) -> None:  # noqa: PLR0915
                     local_sources=getattr(args, "local_sources", None) or [],
                     interactive=bool(getattr(args, "interactive", False)),
                     max_budget_usd=getattr(args, "max_budget_usd", None),
+                    max_turns=getattr(args, "max_turns", DEFAULT_MAX_TURNS),
                 )
             finally:
                 stop_updates.set()

strix/interface/main.py

@@ -31,6 +31,7 @@ from strix.config.models import (
     is_known_openai_bare_model,
     is_recommended_or_frontier_model,
 )
+from strix.core.inputs import DEFAULT_MAX_TURNS, make_model_settings
 from strix.core.paths import run_dir_for, runtime_state_dir
 from strix.interface.cli import run_cli
 from strix.interface.tui import run_tui
@@ -210,7 +211,7 @@ def validate_environment() -> None:
             padding=(1, 2),
         )
 
-        logger.error("Missing required env vars: %s", missing_required_vars)
+        logger.debug("Missing required env vars: %s", missing_required_vars)
         console.print("\n")
         console.print(panel)
         console.print()
@@ -223,7 +224,7 @@ def validate_environment() -> None:
 
 def check_docker_installed() -> None:
     if shutil.which("docker") is None:
-        logger.error("Docker CLI not found in PATH")
+        logger.debug("Docker CLI not found in PATH")
         console = Console()
         error_text = Text()
         error_text.append("DOCKER NOT INSTALLED", style="bold red")
@@ -381,7 +382,13 @@ async def warm_up_llm(show_model_warning: bool = True) -> None:
             model.get_response(
                 system_instructions="You are a helpful assistant.",
                 input="Reply with just 'OK'.",
-                model_settings=ModelSettings(),
+                model_settings=make_model_settings(
+                    None,
+                    model_name=raw_model,
+                    request_timeout=llm.timeout,
+                    prompt_cache=False,
+                    extra_headers=llm.extra_headers,
+                ),
                 tools=[],
                 output_schema=None,
                 handoffs=[],
@@ -403,7 +410,19 @@ async def warm_up_llm(show_model_warning: bool = True) -> None:
             # Match the runtime path: send the dedupe key/endpoint per call so a
             # separate-provider dedupe model authenticates during warm-up too.
             deduper_extra = _dedupe_extra_args(settings.dedupe)
-            deduper_settings = ModelSettings(extra_args=deduper_extra or None)
+            # A dedicated dedupe model may route to another provider, which must
+            # never receive the main endpoint's headers; it has its own
+            # DEDUPE_LLM_EXTRA_HEADERS.
+            deduper_settings = make_model_settings(
+                None,
+                model_name=dedupe_model,
+                request_timeout=llm.timeout,
+                prompt_cache=False,
+                extra_headers=settings.dedupe.extra_headers,
+            )
+            if deduper_extra:
+                merged = {**(deduper_settings.extra_args or {}), **deduper_extra}
+                deduper_settings = deduper_settings.resolve(ModelSettings(extra_args=merged))
             await asyncio.wait_for(
                 deduper.get_response(
                     system_instructions="You are a helpful assistant.",
@@ -422,7 +441,7 @@ async def warm_up_llm(show_model_warning: bool = True) -> None:
             logger.info("LLM warm-up succeeded for dedupe model %s", dedupe_model)
 
     except Exception as e:
-        logger.exception("LLM warm-up failed")
+        logger.debug("LLM warm-up failed", exc_info=True)
         error_text = Text()
         sub_hint = _subscription_error_hint(e)
         if sub_hint is not None:
@@ -481,6 +500,16 @@ def _positive_budget(value: str) -> float:
     return budget
 
 
+def _positive_int(value: str) -> int:
+    try:
+        parsed = int(value)
+    except ValueError as exc:
+        raise argparse.ArgumentTypeError(f"invalid int value: {value!r}") from exc
+    if parsed <= 0:
+        raise argparse.ArgumentTypeError("must be an integer greater than 0")
+    return parsed
+
+
 def parse_arguments() -> argparse.Namespace:
     parser = argparse.ArgumentParser(
         description="Strix Multi-Agent Cybersecurity Penetration Testing Tool",
@@ -636,10 +665,27 @@ Examples:
     )
 
     parser.add_argument(
-        "--max-budget-usd",
+        "--max-budget",
+        dest="max_budget_usd",
+        metavar="USD",
         type=_positive_budget,
         default=None,
-        help="Maximum LLM cost in USD (> 0). The scan stops cleanly when this limit is reached.",
+        help=(
+            "Maximum LLM cost in USD (> 0). The scan stops cleanly when this limit is reached. "
+            "Graduated wrap-up warnings are sent to all agents as it is approached."
+        ),
+    )
+
+    parser.add_argument(
+        "--max-turns",
+        dest="max_turns",
+        metavar="N",
+        type=_positive_int,
+        default=DEFAULT_MAX_TURNS,
+        help=(
+            "Maximum turns per agent (> 0, default %(default)s). Each agent is force-stopped "
+            "when it reaches this limit, with graduated wrap-up warnings as it is approached."
+        ),
     )
 
     parser.add_argument(
@@ -856,7 +902,7 @@ def display_completion_message(args: argparse.Namespace, results_path: Path) ->
     view_text = Text()
     view_text.append("\n")
     view_text.append("View", style="dim")
-    view_text.append("         ")
+    view_text.append("    ")
     view_text.append(f"strix view {args.run_name}", style="#22c55e")
     panel_parts.extend(["\n", view_text])
 
@@ -918,7 +964,7 @@ def pull_docker_image() -> None:
                 last_update = process_pull_line(line, layers_info, status, last_update)
 
         except DockerException as e:
-            logger.exception("Failed to pull docker image %s", image)
+            logger.debug("Failed to pull docker image %s", image, exc_info=True)
             console.print()
             error_text = Text()
             error_text.append("FAILED TO PULL IMAGE", style="bold red")
@@ -952,7 +998,7 @@ def main() -> None:
     # `strix view [<run>]` is a viewer-only subcommand, dispatched before the
     # scan argument parser (which requires a target) and before any scan setup.
     if len(sys.argv) > 1 and sys.argv[1] == "view":
-        from strix.viewer.cli import run_view
+        from strix.interface.viewer.cli import run_view
 
         run_view(sys.argv[2:])
         return

strix/interface/tui/app.py

@@ -15,6 +15,7 @@ from typing import TYPE_CHECKING, Any, ClassVar
 
 
 if TYPE_CHECKING:
+    from pygments.token import _TokenType
     from textual.timer import Timer
 
 from rich.align import Align
@@ -34,6 +35,7 @@ from textual.widgets.tree import TreeNode
 from strix.config import load_settings
 from strix.config.models import is_recommended_or_frontier_model
 from strix.core.hooks import BudgetExceededError
+from strix.core.inputs import DEFAULT_MAX_TURNS
 from strix.core.runner import run_strix_scan
 from strix.interface.tui.live_view import TuiLiveView
 from strix.interface.tui.messages import send_user_message_to_agent
@@ -351,7 +353,7 @@ class VulnerabilityDetailScreen(ModalScreen):  # type: ignore[misc]
                 if not token_value:
                     continue
                 color = None
-                tt = token_type
+                tt: _TokenType | None = token_type
                 while tt:
                     if tt in colors:
                         color = colors[tt]
@@ -814,6 +816,7 @@ class StrixTUIApp(App):  # type: ignore[misc]
         self._scan_completed = threading.Event()
         self._scan_error: BaseException | None = None
         self._error_noted_agents: set[str] = set()
+        self._budget_pause_notified = False
 
         self._spinner_frame_index: int = 0
         self._sweep_num_squares: int = 6
@@ -1046,6 +1049,7 @@ class StrixTUIApp(App):  # type: ignore[misc]
                                 self.live_view.record_agent_error(agent_id, error)
                         else:
                             self._error_noted_agents.discard(agent_id)
+                    self._notify_budget_pause(statuses)
 
         if self._scan_loop is None or self._scan_loop.is_closed():
             return
@@ -1057,6 +1061,19 @@ class StrixTUIApp(App):  # type: ignore[misc]
 
         self._agent_graph_sync_future = asyncio.run_coroutine_threadsafe(collect(), self._scan_loop)
 
+    def _notify_budget_pause(self, statuses: dict[str, Any]) -> None:
+        paused = any(status == "budget_paused" for status in statuses.values())
+        if paused and not self._budget_pause_notified:
+            self._budget_pause_notified = True
+            self.notify(
+                "Budget limit reached \u2014 agents paused. Send a message to continue "
+                "(this extends the budget), or ctrl-q to quit.",
+                severity="warning",
+                timeout=15,
+            )
+        elif not paused:
+            self._budget_pause_notified = False
+
     def _update_agent_node(self, agent_id: str, agent_data: dict[str, Any]) -> bool:
         if agent_id not in self.agent_nodes:
             return False
@@ -1069,6 +1086,7 @@ class StrixTUIApp(App):  # type: ignore[misc]
             status_indicators = {
                 "running": "⚪",
                 "waiting": "⏸",
+                "budget_paused": "⏸",
                 "completed": "🟢",
                 "failed": "🔴",
                 "crashed": "🔴",
@@ -1266,10 +1284,17 @@ class StrixTUIApp(App):  # type: ignore[misc]
             self._stop_dot_animation()
             return (text, Text(), False)
 
-        if status == "waiting":
+        if status in {"waiting", "budget_paused"}:
             text = Text()
-            text.append("Send message to resume", style="dim")
-            return (text, Text(), False)
+            keymap = Text()
+            if status == "budget_paused":
+                text.append("Budget limit reached", style="yellow")
+                text.append(" \u00b7 ", style="dim")
+                text.append("Send a message to continue", style="dim")
+                keymap = keymap_styled([("ctrl-q", "quit")])
+            else:
+                text.append("Send message to resume", style="dim")
+            return (text, keymap, False)
 
         if status == "running":
             if self._agent_has_real_activity(agent_id):
@@ -1494,6 +1519,7 @@ class StrixTUIApp(App):  # type: ignore[misc]
                                 coordinator=self.coordinator,
                                 interactive=True,
                                 max_budget_usd=getattr(self.args, "max_budget_usd", None),
+                                max_turns=getattr(self.args, "max_turns", DEFAULT_MAX_TURNS),
                                 event_sink=self._capture_sdk_event,
                             ),
                         )
@@ -1501,10 +1527,7 @@ class StrixTUIApp(App):  # type: ignore[misc]
                 except (KeyboardInterrupt, asyncio.CancelledError):
                     logger.info("Scan interrupted by user")
                 except BudgetExceededError:
-                    # Defensive: the runner stops the scan cleanly on budget and
-                    # returns, so this normally never propagates. Treat it as a
-                    # graceful stop, not a scan error, if it ever does.
-                    logger.info("Scan stopped: --max-budget-usd limit reached")
+                    logger.info("Scan stopped: --max-budget limit reached")
                 except (ConnectionError, TimeoutError) as e:
                     logging.exception("Network error during scan")
                     self._scan_error = e
@@ -1559,6 +1582,7 @@ class StrixTUIApp(App):  # type: ignore[misc]
         status_indicators = {
             "running": "⚪",
             "waiting": "⏸",
+            "budget_paused": "⏸",
             "completed": "🟢",
             "failed": "🔴",
             "crashed": "🔴",
@@ -1605,6 +1629,7 @@ class StrixTUIApp(App):  # type: ignore[misc]
         status_indicators = {
             "running": "⚪",
             "waiting": "⏸",
+            "budget_paused": "⏸",
             "completed": "🟢",
             "failed": "🔴",
             "crashed": "🔴",
@@ -1729,7 +1754,10 @@ class StrixTUIApp(App):  # type: ignore[misc]
             message=message,
         )
         if not submitted:
-            self.notify("Scan loop is not ready; message was not sent", severity="warning")
+            if self._scan_completed.is_set():
+                self.notify("The scan has ended; message was not sent", severity="warning")
+            else:
+                self.notify("Scan loop is not ready; message was not sent", severity="warning")
             return
 
         self._displayed_events.clear()
@@ -1862,7 +1890,7 @@ class StrixTUIApp(App):  # type: ignore[misc]
                 webbrowser.open(self._viewer_url)
             return
         try:
-            from strix.viewer.server import authorized_url, bundle_is_built, serve
+            from strix.interface.viewer.server import authorized_url, bundle_is_built, serve
 
             if not bundle_is_built():
                 self._set_viewer_cta("[#eab308]Viewer UI not built[/]")

strix/interface/tui/live_view.py

@@ -20,7 +20,7 @@ class TuiLiveView:
         self.events: list[dict[str, Any]] = []
         self._next_event_id = 1
         self._open_assistant_event_by_agent: dict[str, dict[str, Any]] = {}
-        self._tool_event_by_call_id: dict[str, dict[str, Any]] = {}
+        self._tool_event_by_agent_and_call_id: dict[tuple[str, str], dict[str, Any]] = {}
 
     def hydrate_from_run_dir(self, run_dir: Path) -> None:
         state_dir = runtime_state_dir(run_dir)
@@ -223,7 +223,8 @@ class TuiLiveView:
         timestamp: str | None = None,
     ) -> None:
         call_id = call["call_id"]
-        existing = self._tool_event_by_call_id.get(call_id)
+        event_key = (agent_id, call_id)
+        existing = self._tool_event_by_agent_and_call_id.get(event_key)
         tool_data = {
             "tool_name": call["tool_name"],
             "args": call["args"],
@@ -233,7 +234,7 @@ class TuiLiveView:
         }
         if existing is None:
             event = self._append_event(agent_id, "tool", tool_data, timestamp=timestamp)
-            self._tool_event_by_call_id[call_id] = event
+            self._tool_event_by_agent_and_call_id[event_key] = event
         else:
             existing["data"].update(tool_data)
             self._bump_event(existing, timestamp=timestamp)
@@ -249,7 +250,8 @@ class TuiLiveView:
         timestamp: str | None = None,
     ) -> None:
         call_id = output["call_id"]
-        event = self._tool_event_by_call_id.get(call_id)
+        event_key = (agent_id, call_id)
+        event = self._tool_event_by_agent_and_call_id.get(event_key)
         if event is None:
             event = self._append_event(
                 agent_id,
@@ -263,7 +265,7 @@ class TuiLiveView:
                 },
                 timestamp=timestamp,
             )
-            self._tool_event_by_call_id[call_id] = event
+            self._tool_event_by_agent_and_call_id[event_key] = event
 
         result = _parse_json_value(output["output"])
         event["data"]["result"] = result

strix/interface/tui/renderers/notes_renderer.py

@@ -7,6 +7,13 @@ from .base_renderer import BaseToolRenderer
 from .registry import register_tool_renderer
 
 
+def _author_label(note: dict[str, Any]) -> str:
+    if note.get("by_you"):
+        return "you"
+    agent_name = note.get("agent_name")
+    return str(agent_name).strip() if agent_name else ""
+
+
 @register_tool_renderer
 class CreateNoteRenderer(BaseToolRenderer):
     tool_name: ClassVar[str] = "create_note"
@@ -123,6 +130,9 @@ class ListNotesRenderer(BaseToolRenderer):
                     text.append("\n  - ")
                     text.append(title)
                     text.append(f" ({category})", style="dim")
+                    author = _author_label(note)
+                    if author:
+                        text.append(f" by {author}", style="dim")
 
                     if note_content:
                         text.append("\n    ")
@@ -156,6 +166,9 @@ class GetNoteRenderer(BaseToolRenderer):
             text.append("\n  ")
             text.append(title)
             text.append(f" ({category})", style="dim")
+            author = _author_label(note)
+            if author:
+                text.append(f" by {author}", style="dim")
             if content:
                 text.append("\n  ")
                 text.append(content, style="dim")

strix/interface/tui/renderers/reporting_renderer.py

@@ -431,3 +431,117 @@ class CreateDependencyReportRenderer(BaseToolRenderer):
 
         css_classes = cls.get_css_classes("completed")
         return Static(padded, classes=css_classes)
+
+
+_LIST_SEVERITY_COLORS = {
+    "critical": "#dc2626",
+    "high": "#ea580c",
+    "medium": "#d97706",
+    "low": "#65a30d",
+    "info": "#0284c7",
+    "none": "#6b7280",
+}
+
+
+def _severity_style(severity: Any) -> str:
+    return _LIST_SEVERITY_COLORS.get(str(severity or "").lower(), "#d97706")
+
+
+def _author_label(report: dict[str, Any]) -> str:
+    if report.get("by_you"):
+        return "you"
+    agent_name = report.get("agent_name")
+    return str(agent_name).strip() if agent_name else ""
+
+
+@register_tool_renderer
+class ListReportsRenderer(BaseToolRenderer):
+    tool_name: ClassVar[str] = "list_reports"
+    css_classes: ClassVar[list[str]] = ["tool-call", "reporting-tool"]
+
+    @classmethod
+    def render(cls, tool_data: dict[str, Any]) -> Static:
+        result = _coerce_dict(tool_data.get("result"))
+
+        text = Text()
+        text.append("◆ ", style="#ef4444")
+        text.append("reports", style="dim")
+
+        if isinstance(tool_data.get("result"), str) and str(tool_data["result"]).strip():
+            text.append("\n  ")
+            text.append(str(tool_data["result"]).strip(), style="dim")
+        elif result.get("success"):
+            total = result.get("total_count", 0)
+            reports = _coerce_list_of_dicts(result.get("reports"))
+            counts = _coerce_dict(result.get("severity_counts"))
+
+            text.append(f" ({total})", style="dim")
+            for sev, count in counts.items():
+                text.append("  ")
+                text.append(f"{sev} {count}", style=_severity_style(sev))
+
+            if not reports:
+                text.append("\n  ")
+                text.append("No reports filed yet", style="dim")
+            else:
+                for report in reports:
+                    rid = str(report.get("id", "")).strip()
+                    title = str(report.get("title", "")).strip() or "(untitled)"
+                    severity = str(report.get("severity", "")).strip()
+                    text.append("\n  - ")
+                    if severity:
+                        text.append(severity.upper(), style=f"bold {_severity_style(severity)}")
+                        text.append(" ")
+                    if rid:
+                        text.append(f"{rid} ", style="dim")
+                    text.append(title)
+                    author = _author_label(report)
+                    if author:
+                        text.append(f" ({author})", style="dim")
+        else:
+            text.append("\n  ")
+            text.append("Loading...", style="dim")
+
+        css_classes = cls.get_css_classes("completed")
+        return Static(text, classes=css_classes)
+
+
+@register_tool_renderer
+class GetReportRenderer(BaseToolRenderer):
+    tool_name: ClassVar[str] = "get_report"
+    css_classes: ClassVar[list[str]] = ["tool-call", "reporting-tool"]
+
+    @classmethod
+    def render(cls, tool_data: dict[str, Any]) -> Static:
+        result = _coerce_dict(tool_data.get("result"))
+
+        text = Text()
+        text.append("◆ ", style="#ef4444")
+        text.append("report read", style="dim")
+
+        report = _coerce_dict(result.get("report")) if result.get("success") else {}
+        if report:
+            rid = str(report.get("id", "")).strip()
+            title = str(report.get("title", "")).strip() or "(untitled)"
+            severity = str(report.get("severity", "")).strip()
+            text.append("\n  ")
+            if severity:
+                text.append(severity.upper(), style=f"bold {_severity_style(severity)}")
+                text.append(" ")
+            if rid:
+                text.append(f"{rid} ", style="dim")
+            text.append(title)
+            author = _author_label(report)
+            if author:
+                text.append(f" ({author})", style="dim")
+            target = str(report.get("target", "")).strip()
+            if target:
+                text.append("\n  ")
+                text.append(target, style="dim")
+        else:
+            text.append("\n  ")
+            detail = result.get("error") if result.get("success") is False else None
+            text.append(str(detail) if detail else "Loading...", style="dim")
+
+        css_classes = cls.get_css_classes("completed")
+        return Static(text, classes=css_classes)

strix/interface/update_check.py

@@ -271,7 +271,13 @@ def _release_target() -> str | None:
     if os_name is None:
         return None
     target = f"{os_name}-{arch}"
-    supported = {"linux-x86_64", "macos-x86_64", "macos-arm64", "windows-x86_64"}
+    supported = {
+        "linux-x86_64",
+        "linux-arm64",
+        "macos-x86_64",
+        "macos-arm64",
+        "windows-x86_64",
+    }
     return target if target in supported else None
 
 

strix/interface/utils.py

@@ -11,11 +11,10 @@ import tempfile
 from dataclasses import dataclass, field
 from pathlib import Path
 from typing import Any
-from urllib.error import HTTPError, URLError
 from urllib.parse import urlparse
-from urllib.request import Request, urlopen
 
 import docker
+import requests
 from docker.errors import DockerException, ImageNotFound
 from rich.console import Console
 from rich.panel import Panel
@@ -1088,13 +1087,12 @@ def resolve_diff_scope_context(
 def _is_http_git_repo(url: str) -> bool:
     check_url = f"{url.rstrip('/')}/info/refs?service=git-upload-pack"
     try:
-        req = Request(check_url, headers={"User-Agent": "git/strix"})  # noqa: S310
-        with urlopen(req, timeout=10) as resp:  # noqa: S310  # nosec B310
-            return "x-git-upload-pack-advertisement" in resp.headers.get("Content-Type", "")
-    except HTTPError as e:
-        return e.code == 401
-    except (URLError, OSError, ValueError):
+        resp = requests.get(check_url, headers={"User-Agent": "git/strix"}, timeout=10)
+    except (requests.RequestException, ValueError):
         return False
+    if resp.status_code >= 400:
+        return resp.status_code == 401
+    return "x-git-upload-pack-advertisement" in resp.headers.get("Content-Type", "")
 
 
 def infer_target_type(target: str) -> tuple[str, dict[str, str]]:  # noqa: PLR0911

strix/interface/viewer/__init__.py

@@ -6,7 +6,7 @@ directly from the run's on-disk files. No cloud dependency, no file picker.
 
 from __future__ import annotations
 
-from strix.viewer.server import serve
+from strix.interface.viewer.server import serve
 
 
 __all__ = ["serve"]

strix/interface/viewer/auth.py

@@ -15,12 +15,12 @@ import base64
 import contextlib
 import json
 import logging
-import urllib.error
-import urllib.request
 from datetime import UTC, datetime
 from pathlib import Path
 from typing import Any
 
+import requests
+
 from strix.config.loader import load_settings
 
 
@@ -147,21 +147,17 @@ def _post_json(path: str, payload: dict[str, Any], *, timeout: int) -> tuple[int
     map, not raised.
     """
     url = f"{_app_url()}{path}"
-    body = json.dumps(payload).encode("utf-8")
-    request = urllib.request.Request(  # noqa: S310 - fixed https relay URL
-        url,
-        data=body,
-        headers={"Content-Type": "application/json", "Accept": "application/json"},
-        method="POST",
-    )
     try:
-        with urllib.request.urlopen(request, timeout=timeout) as response:  # noqa: S310
-            return response.status, _parse_body(response.read())
-    except urllib.error.HTTPError as exc:
-        return exc.code, _parse_body(exc.read())
-    except (urllib.error.URLError, TimeoutError, OSError) as exc:
+        response = requests.post(
+            url,
+            json=payload,
+            headers={"Accept": "application/json"},
+            timeout=timeout,
+        )
+    except requests.RequestException as exc:
         logger.warning("relay request to %s failed: %s", path, exc)
         raise RelayError("unavailable") from exc
+    return response.status_code, _parse_body(response.content)
 
 
 def _parse_body(raw: bytes) -> dict[str, Any]:

strix/interface/viewer/cli.py

@@ -16,8 +16,8 @@ from strix.core.paths import (
     run_record_path,
     runs_base_dir,
 )
-from strix.viewer.server import authorized_url, bundle_is_built, serve
-from strix.viewer.transcript import read_run_summary
+from strix.interface.viewer.server import authorized_url, bundle_is_built, serve
+from strix.interface.viewer.transcript import read_run_summary
 
 
 if TYPE_CHECKING:
@@ -58,7 +58,7 @@ def run_view(argv: list[str]) -> None:
     if not bundle_is_built():
         console.print(
             "[bold red]Viewer UI is not built.[/]\n"
-            "Build it with: [cyan]cd strix/viewer/frontend && npm ci && npm run build[/]"
+            "Build it with: [cyan]cd strix/interface/viewer/frontend && npm ci && npm run build[/]"
         )
         raise SystemExit(1)
 

strix/interface/viewer/frontend/src/components/live/tool-renderers/NotesRenderer.tsx

@@ -49,6 +49,9 @@ export default function NotesRenderer({ toolName, args, result }: ToolRendererPr
             <div className="mt-1.5 text-[#999] text-[13px]">
               {note.title ?? "(untitled)"}
               <span className="text-[#555] ml-1">({note.category ?? "general"})</span>
+              {(note.by_you || note.agent_name) && (
+                <span className="text-[#666] ml-1 text-xs">by {note.by_you ? "you" : note.agent_name}</span>
+              )}
             </div>
             {note.content && <div className="mt-1"><Markdown text={note.content} /></div>}
           </>
@@ -74,6 +77,9 @@ export default function NotesRenderer({ toolName, args, result }: ToolRendererPr
                 <span className="text-[#555] mr-1">-</span>
                 <span className="text-[#999]">{n.title ?? "(untitled)"}</span>
                 <span className="text-[#555] ml-1">({n.category ?? "general"})</span>
+                {(n.by_you || n.agent_name) && (
+                  <span className="text-[#666] ml-1 text-xs">by {n.by_you ? "you" : n.agent_name}</span>
+                )}
                 {n.content && <div className="ml-3"><Markdown text={n.content} /></div>}
               </div>
             ))}

strix/interface/viewer/frontend/src/components/live/tool-renderers/ReportListRenderer.tsx

@@ -0,0 +1,121 @@
+"use client";
+
+import type { ToolRendererProps } from "@/types/events";
+import { TruncatedText } from "./ToolCard";
+import Markdown from "./Markdown";
+
+const SEVERITY_COLORS: Record<string, string> = {
+  critical: "text-red-400", high: "text-orange-400", medium: "text-yellow-400",
+  low: "text-blue-400", info: "text-cyan-400", none: "text-[#888]",
+};
+
+interface ReportEntry {
+  id?: string;
+  title?: string;
+  severity?: string;
+  cvss?: number;
+  cve?: string;
+  cwe?: string;
+  target?: string;
+  endpoint?: string;
+  method?: string;
+  description_preview?: string;
+  description?: string;
+  agent_name?: string;
+  by_you?: boolean;
+}
+
+function authorTag(r: ReportEntry) {
+  if (!r.agent_name && !r.by_you) return null;
+  const label = r.by_you ? "you" : r.agent_name;
+  return <span className="text-[#666] text-xs ml-1.5">({label})</span>;
+}
+
+function sevBadge(severity: string | undefined) {
+  const sev = String(severity ?? "").toLowerCase();
+  const color = SEVERITY_COLORS[sev] ?? "text-yellow-400";
+  return <span className={`font-semibold text-[13px] ${color}`}>{sev.toUpperCase() || "—"}</span>;
+}
+
+export default function ReportListRenderer({ toolName, result }: ToolRendererProps) {
+  const res = result as Record<string, unknown> | null;
+  const ok = res != null && typeof res === "object" && res.success === true;
+
+  if (toolName === "get_report") {
+    const report = ok ? (res.report as ReportEntry | undefined) : undefined;
+    return (
+      <div>
+        <span className="text-red-400/80 font-semibold text-sm">report</span>
+        {report ? (
+          <div className="mt-1.5 space-y-2">
+            <div className="flex items-center gap-2 flex-wrap">
+              {sevBadge(report.severity)}
+              {report.cvss != null && <span className="text-[#888] text-[13px]">CVSS {report.cvss}</span>}
+              {report.id && <span className="text-[#555] font-mono text-[13px]">{report.id}</span>}
+              {report.cve && <span className="text-[#888] font-mono text-[13px]">{report.cve}</span>}
+              {report.cwe && <span className="text-[#888] font-mono text-[13px]">{report.cwe}</span>}
+              {(report.agent_name || report.by_you) && (
+                <span className="text-[#666] text-[13px]">{report.by_you ? "you" : report.agent_name}</span>
+              )}
+            </div>
+            {report.title && <div className="text-[15px] text-white/80 font-semibold">{report.title}</div>}
+            {(report.target || report.endpoint) && (
+              <div className="text-[13px] text-[#888] font-mono">
+                {report.target}{report.endpoint ? ` ${report.method ?? ""} ${report.endpoint}` : ""}
+              </div>
+            )}
+            {report.description && <TruncatedText text={report.description} maxLines={20} />}
+          </div>
+        ) : (
+          <div className="mt-1 text-[#555] text-xs">
+            {(res && typeof res === "object" && (res.error as string)) || "Report not found"}
+          </div>
+        )}
+      </div>
+    );
+  }
+
+  // list_reports
+  const rawReports = ok ? res.reports : null;
+  const reports: ReportEntry[] = Array.isArray(rawReports) ? (rawReports as ReportEntry[]) : [];
+  const total = ok && typeof res.total_count === "number" ? (res.total_count as number) : reports.length;
+  const counts = ok && res.severity_counts && typeof res.severity_counts === "object"
+    ? (res.severity_counts as Record<string, number>)
+    : {};
+  const countEntries = Object.entries(counts);
+
+  return (
+    <div>
+      <div className="flex items-center gap-2 flex-wrap">
+        <span className="text-red-400/80 font-semibold text-sm">reports</span>
+        <span className="text-[#555] text-[13px]">({total})</span>
+        {countEntries.map(([sev, n]) => (
+          <span key={sev} className="text-[13px]">
+            {sevBadge(sev)}<span className="text-[#888] ml-0.5">{n}</span>
+          </span>
+        ))}
+      </div>
+      {reports.length > 0 ? (
+        <div className="mt-1.5 space-y-1">
+          {reports.map((r, i) => (
+            <div key={r.id ?? i} className="text-[13px]">
+              <span className="text-[#555] mr-1">-</span>
+              {sevBadge(r.severity)}
+              {r.id && <span className="text-[#555] font-mono ml-1.5">{r.id}</span>}
+              <span className="text-[#999] ml-1.5">{r.title ?? "(untitled)"}</span>
+              {authorTag(r)}
+              {(r.target || r.endpoint) && (
+                <div className="ml-3 text-[#666] font-mono text-xs">
+                  {r.target}{r.endpoint ? ` ${r.method ?? ""} ${r.endpoint}` : ""}
+                </div>
+              )}
+              {r.description_preview && (
+                <div className="ml-3"><Markdown text={r.description_preview} /></div>
+              )}
+            </div>
+          ))}
+        </div>
+      ) : <div className="mt-1 text-[#555] text-xs">No reports filed yet</div>}
+    </div>
+  );
+}

strix/interface/viewer/frontend/src/components/live/tool-renderers/index.ts

@@ -12,6 +12,7 @@ import FileEditRenderer from "./FileEditRenderer";
 import ApplyPatchRenderer from "./ApplyPatchRenderer";
 import ViewImageRenderer from "./ViewImageRenderer";
 import VulnReportRenderer from "./VulnReportRenderer";
+import ReportListRenderer from "./ReportListRenderer";
 import ProxyRenderer from "./ProxyRenderer";
 import ThinkRenderer from "./ThinkRenderer";
 import AgentCommsRenderer from "./AgentCommsRenderer";
@@ -101,7 +102,7 @@ const CATEGORY_TOOLS: Record<ToolCategory, readonly string[]> = {
   filesystem: ["apply_patch", "view_image", "str_replace_editor", "list_files", "search_files"],
   // Caido proxy tools (legacy: send_request)
   proxy: ["list_requests", "view_request", "repeat_request", "list_sitemap", "view_sitemap_entry", "scope_rules", "send_request"],
-  reporting: ["create_vulnerability_report"],
+  reporting: ["create_vulnerability_report", "list_reports", "get_report"],
   thinking: ["think"],
   agents: ["create_agent", "agent_finish", "send_message_to_agent", "wait_for_message", "view_agent_graph", "stop_agent"],
   search: ["web_search"],
@@ -128,6 +129,8 @@ const RENDERER_OVERRIDES: Partial<Record<string, ComponentType<ToolRendererProps
   finish_scan: FinishRenderer,
   apply_patch: ApplyPatchRenderer,
   view_image: ViewImageRenderer,
+  list_reports: ReportListRenderer,
+  get_report: ReportListRenderer,
 };
 
 /**

strix/interface/viewer/frontend/vite.config.ts

@@ -5,7 +5,7 @@ import { fileURLToPath, URL } from "node:url";
 
 // The viewer is served as static files by a stdlib Python server on an
 // arbitrary ephemeral port, so all asset URLs must be relative (base: "./").
-// The build output is committed at strix/viewer/static and shipped.
+// The build output is committed at strix/interface/viewer/static and shipped.
 export default defineConfig({
   base: "./",
   plugins: [react(), tailwindcss()],