chore: Bump version to 0.8.2

Users can now access the Caido web UI from their browser to inspect traffic,
replay requests, and perform manual testing alongside the automated scan.

- Map Caido port (48080) to a random host port in DockerRuntime
- Add caido_port to SandboxInfo and track across container lifecycle
- Display Caido URL in TUI sidebar stats panel with selectable text
- Bind Caido to 0.0.0.0 in entrypoint (requires image rebuild)
- Bump sandbox image to 0.1.12
- Restore discord link in exit screen

README.md

@@ -15,7 +15,7 @@
 
 <a href="https://docs.strix.ai"><img src="https://img.shields.io/badge/Docs-docs.strix.ai-2b9246?style=for-the-badge&logo=gitbook&logoColor=white" alt="Docs"></a>
 <a href="https://strix.ai"><img src="https://img.shields.io/badge/Website-strix.ai-f0f0f0?style=for-the-badge&logoColor=000000" alt="Website"></a>
-[![](https://dcbadge.limes.pink/api/server/8Suzzd9z)](https://discord.gg/strix-ai)
+[![](https://dcbadge.limes.pink/api/server/strix-ai)](https://discord.gg/strix-ai)
 
 <a href="https://deepwiki.com/usestrix/strix"><img src="https://deepwiki.com/badge.svg" alt="Ask DeepWiki"></a>
 <a href="https://github.com/usestrix/strix"><img src="https://img.shields.io/github/stars/usestrix/strix?style=flat-square" alt="GitHub Stars"></a>
@@ -82,9 +82,6 @@ Strix are autonomous AI agents that act just like real hackers - they run your c
 # Install Strix
 curl -sSL https://strix.ai/install | bash
 
-# Or via pipx
-pipx install strix-agent
-
 # Configure your AI provider
 export STRIX_LLM="openai/gpt-5"  # or "strix/gpt-5" via Strix Router (https://models.strix.ai)
 export LLM_API_KEY="your-api-key"

containers/docker-entrypoint.sh

@@ -9,7 +9,7 @@ if [ ! -f /app/certs/ca.p12 ]; then
   exit 1
 fi
 
-caido-cli --listen 127.0.0.1:${CAIDO_PORT} \
+caido-cli --listen 0.0.0.0:${CAIDO_PORT} \
           --allow-guests \
           --no-logging \
           --no-open \

docs/advanced/configuration.mdx

@@ -51,7 +51,7 @@ Configure Strix using environment variables or a config file.
 
 ## Docker Configuration
 
-<ParamField path="STRIX_IMAGE" default="ghcr.io/usestrix/strix-sandbox:0.1.11" type="string">
+<ParamField path="STRIX_IMAGE" default="ghcr.io/usestrix/strix-sandbox:0.1.12" type="string">
   Docker image to use for the sandbox container.
 </ParamField>
 

poetry.lock

@@ -190,7 +190,7 @@ description = "Python graph (network) package"
 optional = false
 python-versions = "*"
 groups = ["dev"]
-markers = "python_version <= \"3.14\""
+markers = "python_version < \"3.15\""
 files = [
     {file = "altgraph-0.17.5-py2.py3-none-any.whl", hash = "sha256:f3a22400bce1b0c701683820ac4f3b159cd301acab067c51c653e06961600597"},
     {file = "altgraph-0.17.5.tar.gz", hash = "sha256:c87b395dd12fabde9c99573a9749d67da8d29ef9de0125c7f536699b4a9bc9e7"},
@@ -324,7 +324,7 @@ description = "LTS Port of Python audioop"
 optional = true
 python-versions = ">=3.13"
 groups = ["main"]
-markers = "extra == \"sandbox\" and python_version >= \"3.13\""
+markers = "python_version >= \"3.13\" and extra == \"sandbox\""
 files = [
     {file = "audioop_lts-0.2.2-cp313-abi3-macosx_10_13_universal2.whl", hash = "sha256:fd3d4602dc64914d462924a08c1a9816435a2155d74f325853c1f1ac3b2d9800"},
     {file = "audioop_lts-0.2.2-cp313-abi3-macosx_10_13_x86_64.whl", hash = "sha256:550c114a8df0aafe9a05442a1162dfc8fec37e9af1d625ae6060fed6e756f303"},
@@ -622,7 +622,7 @@ description = "Extensible memoizing collections and decorators"
 optional = true
 python-versions = ">=3.7"
 groups = ["main"]
-markers = "extra == \"vertex\" or extra == \"sandbox\""
+markers = "extra == \"sandbox\""
 files = [
     {file = "cachetools-5.5.2-py3-none-any.whl", hash = "sha256:d26a22bcc62eb95c3beabd9f1ee5e820d3d2704fe2967cbe350e20c8ffcd3f0a"},
     {file = "cachetools-5.5.2.tar.gz", hash = "sha256:1a661caa9175d26759571b2e19580f9d6393969e5dfca11fdb1f947a23e640d4"},
@@ -890,7 +890,7 @@ files = [
     {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"},
     {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"},
 ]
-markers = {main = "sys_platform == \"win32\" and extra == \"sandbox\" or platform_system == \"Windows\"", dev = "platform_system == \"Windows\" or sys_platform == \"win32\""}
+markers = {main = "extra == \"sandbox\" and sys_platform == \"win32\" or platform_system == \"Windows\"", dev = "platform_system == \"Windows\" or sys_platform == \"win32\""}
 
 [[package]]
 name = "contourpy"
@@ -1850,50 +1850,51 @@ grpcio-gcp = ["grpcio-gcp (>=0.2.2,<1.0.0)"]
 
 [[package]]
 name = "google-auth"
-version = "2.43.0"
+version = "2.48.0"
 description = "Google Authentication Library"
 optional = true
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 groups = ["main"]
 markers = "extra == \"vertex\""
 files = [
-    {file = "google_auth-2.43.0-py2.py3-none-any.whl", hash = "sha256:af628ba6fa493f75c7e9dbe9373d148ca9f4399b5ea29976519e0a3848eddd16"},
+    {file = "google_auth-2.48.0-py3-none-any.whl", hash = "sha256:2e2a537873d449434252a9632c28bfc268b0adb1e53f9fb62afc5333a975903f"},
-    {file = "google_auth-2.43.0.tar.gz", hash = "sha256:88228eee5fc21b62a1b5fe773ca15e67778cb07dc8363adcb4a8827b52d81483"},
+    {file = "google_auth-2.48.0.tar.gz", hash = "sha256:4f7e706b0cd3208a3d940a19a822c37a476ddba5450156c3e6624a71f7c841ce"},
 ]
 
 [package.dependencies]
-cachetools = ">=2.0.0,<7.0"
+cryptography = ">=38.0.3"
 pyasn1-modules = ">=0.2.1"
 requests = {version = ">=2.20.0,<3.0.0", optional = true, markers = "extra == \"requests\""}
 rsa = ">=3.1.4,<5"
 
 [package.extras]
 aiohttp = ["aiohttp (>=3.6.2,<4.0.0)", "requests (>=2.20.0,<3.0.0)"]
-enterprise-cert = ["cryptography", "pyopenssl"]
+cryptography = ["cryptography (>=38.0.3)"]
-pyjwt = ["cryptography (<39.0.0) ; python_version < \"3.8\"", "cryptography (>=38.0.3)", "pyjwt (>=2.0)"]
+enterprise-cert = ["pyopenssl"]
-pyopenssl = ["cryptography (<39.0.0) ; python_version < \"3.8\"", "cryptography (>=38.0.3)", "pyopenssl (>=20.0.0)"]
+pyjwt = ["pyjwt (>=2.0)"]
+pyopenssl = ["pyopenssl (>=20.0.0)"]
 reauth = ["pyu2f (>=0.1.5)"]
 requests = ["requests (>=2.20.0,<3.0.0)"]
-testing = ["aiohttp (<3.10.0)", "aiohttp (>=3.6.2,<4.0.0)", "aioresponses", "cryptography (<39.0.0) ; python_version < \"3.8\"", "cryptography (<39.0.0) ; python_version < \"3.8\"", "cryptography (>=38.0.3)", "cryptography (>=38.0.3)", "flask", "freezegun", "grpcio", "mock", "oauth2client", "packaging", "pyjwt (>=2.0)", "pyopenssl (<24.3.0)", "pyopenssl (>=20.0.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-localserver", "pyu2f (>=0.1.5)", "requests (>=2.20.0,<3.0.0)", "responses", "urllib3"]
+testing = ["aiohttp (<3.10.0)", "aiohttp (>=3.6.2,<4.0.0)", "aioresponses", "flask", "freezegun", "grpcio", "oauth2client", "packaging", "pyjwt (>=2.0)", "pyopenssl (<24.3.0)", "pyopenssl (>=20.0.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-localserver", "pyu2f (>=0.1.5)", "requests (>=2.20.0,<3.0.0)", "responses", "urllib3"]
 urllib3 = ["packaging", "urllib3"]
 
 [[package]]
 name = "google-cloud-aiplatform"
-version = "1.129.0"
+version = "1.133.0"
 description = "Vertex AI API client library"
 optional = true
 python-versions = ">=3.9"
 groups = ["main"]
 markers = "extra == \"vertex\""
 files = [
-    {file = "google_cloud_aiplatform-1.129.0-py2.py3-none-any.whl", hash = "sha256:b0052143a1bc05894e59fc6f910e84c504e194fadf877f84fc790b38a2267739"},
+    {file = "google_cloud_aiplatform-1.133.0-py2.py3-none-any.whl", hash = "sha256:dfc81228e987ca10d1c32c7204e2131b3c8d6b7c8e0b4e23bf7c56816bc4c566"},
-    {file = "google_cloud_aiplatform-1.129.0.tar.gz", hash = "sha256:c53b9d6c529b4de2962b34425b0116f7a382a926b26e02c2196e372f9a31d196"},
+    {file = "google_cloud_aiplatform-1.133.0.tar.gz", hash = "sha256:3a6540711956dd178daaab3c2c05db476e46d94ac25912b8cf4f59b00b058ae0"},
 ]
 
 [package.dependencies]
 docstring_parser = "<1"
 google-api-core = {version = ">=1.34.1,<2.0.dev0 || >=2.8.dev0,<3.0.0", extras = ["grpc"]}
-google-auth = ">=2.14.1,<3.0.0"
+google-auth = ">=2.47.0,<3.0.0"
 google-cloud-bigquery = ">=1.15.0,<3.20.0 || >3.20.0,<4.0.0"
 google-cloud-resource-manager = ">=1.3.3,<3.0.0"
 google-cloud-storage = [
@@ -1905,7 +1906,6 @@ packaging = ">=14.3"
 proto-plus = ">=1.22.3,<2.0.0"
 protobuf = ">=3.20.2,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<7.0.0"
 pydantic = "<3"
-shapely = "<3.0.0"
 typing_extensions = "*"
 
 [package.extras]
@@ -1918,21 +1918,21 @@ cloud-profiler = ["tensorboard-plugin-profile (>=2.4.0,<2.18.0)", "werkzeug (>=2
 datasets = ["pyarrow (>=10.0.1) ; python_version == \"3.11\"", "pyarrow (>=14.0.0) ; python_version >= \"3.12\"", "pyarrow (>=3.0.0,<8.0.0) ; python_version < \"3.11\""]
 endpoint = ["requests (>=2.28.1)", "requests-toolbelt (<=1.0.0)"]
 evaluation = ["jsonschema", "litellm (>=1.72.4,!=1.77.2,!=1.77.3,!=1.77.4)", "pandas (>=1.0.0)", "pyyaml", "ruamel.yaml", "scikit-learn (<1.6.0) ; python_version <= \"3.10\"", "scikit-learn ; python_version > \"3.10\"", "tqdm (>=4.23.0)"]
-full = ["docker (>=5.0.3)", "explainable-ai-sdk (>=1.0.0) ; python_version < \"3.13\"", "fastapi (>=0.71.0,<=0.114.0)", "google-cloud-bigquery", "google-cloud-bigquery-storage", "google-vizier (>=0.1.6)", "httpx (>=0.23.0,<=0.28.1)", "immutabledict", "jsonschema", "lit-nlp (==0.4.0) ; python_version < \"3.14\"", "litellm (>=1.72.4,!=1.77.2,!=1.77.3,!=1.77.4)", "mlflow (>=1.27.0) ; python_version >= \"3.13\"", "mlflow (>=1.27.0,<=2.16.0) ; python_version < \"3.13\"", "numpy (>=1.15.0)", "pandas (>=1.0.0)", "pyarrow (>=10.0.1) ; python_version == \"3.11\"", "pyarrow (>=14.0.0) ; python_version >= \"3.12\"", "pyarrow (>=3.0.0,<8.0.0) ; python_version < \"3.11\"", "pyarrow (>=6.0.1)", "pyyaml", "pyyaml (>=5.3.1,<7)", "ray[default] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<2.10.dev0 || ==2.33.* || >=2.42.dev0,<=2.42.0) ; python_version < \"3.11\"", "ray[default] (>=2.5,<=2.47.1) ; python_version == \"3.11\"", "requests (>=2.28.1)", "requests-toolbelt (<=1.0.0)", "ruamel.yaml", "scikit-learn (<1.6.0) ; python_version <= \"3.10\"", "scikit-learn ; python_version > \"3.10\"", "starlette (>=0.17.1)", "tensorboard-plugin-profile (>=2.4.0,<2.18.0)", "tensorflow (>=2.3.0,<3.0.0) ; python_version < \"3.13\"", "tensorflow (>=2.3.0,<3.0.0) ; python_version < \"3.13\"", "tqdm (>=4.23.0)", "urllib3 (>=1.21.1,<1.27)", "uvicorn[standard] (>=0.16.0)", "werkzeug (>=2.0.0,<4.0.0)"]
+full = ["docker (>=5.0.3)", "explainable-ai-sdk (>=1.0.0) ; python_version < \"3.13\"", "fastapi (>=0.71.0,<=0.124.4)", "google-cloud-bigquery", "google-cloud-bigquery-storage", "google-vizier (>=0.1.6)", "httpx (>=0.23.0,<=0.28.1)", "immutabledict", "jsonschema", "lit-nlp (==0.4.0) ; python_version < \"3.13\"", "litellm (>=1.72.4,!=1.77.2,!=1.77.3,!=1.77.4)", "mlflow (>=1.27.0) ; python_version >= \"3.13\"", "mlflow (>=1.27.0,<=2.16.0) ; python_version < \"3.13\"", "numpy (>=1.15.0)", "pandas (>=1.0.0)", "pyarrow (>=10.0.1) ; python_version == \"3.11\"", "pyarrow (>=14.0.0) ; python_version >= \"3.12\"", "pyarrow (>=3.0.0,<8.0.0) ; python_version < \"3.11\"", "pyarrow (>=6.0.1)", "pyyaml", "pyyaml (>=5.3.1,<7)", "ray[default] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<2.10.dev0 || ==2.33.* || >=2.42.dev0,<=2.42.0) ; python_version < \"3.11\"", "ray[default] (>=2.5,<=2.47.1) ; python_version == \"3.11\"", "requests (>=2.28.1)", "requests-toolbelt (<=1.0.0)", "ruamel.yaml", "scikit-learn (<1.6.0) ; python_version <= \"3.10\"", "scikit-learn ; python_version > \"3.10\"", "starlette (>=0.17.1)", "tensorboard-plugin-profile (>=2.4.0,<2.18.0)", "tensorflow (>=2.3.0,<3.0.0) ; python_version < \"3.13\"", "tensorflow (>=2.3.0,<3.0.0) ; python_version < \"3.13\"", "tqdm (>=4.23.0)", "urllib3 (>=1.21.1,<1.27)", "uvicorn[standard] (>=0.16.0)", "werkzeug (>=2.0.0,<4.0.0)"]
 langchain = ["langchain (>=0.3,<0.4)", "langchain-core (>=0.3,<0.4)", "langchain-google-vertexai (>=2.0.22,<3)", "langgraph (>=0.2.45,<0.4)", "openinference-instrumentation-langchain (>=0.1.19,<0.2)"]
 langchain-testing = ["absl-py", "cloudpickle (>=3.0,<4.0)", "google-cloud-trace (<2)", "langchain (>=0.3,<0.4)", "langchain-core (>=0.3,<0.4)", "langchain-google-vertexai (>=2.0.22,<3)", "langgraph (>=0.2.45,<0.4)", "openinference-instrumentation-langchain (>=0.1.19,<0.2)", "opentelemetry-exporter-gcp-logging (>=1.11.0a0,<2.0.0)", "opentelemetry-exporter-gcp-trace (<2)", "opentelemetry-exporter-otlp-proto-http (<2)", "opentelemetry-sdk (<2)", "pydantic (>=2.11.1,<3)", "pytest-xdist", "typing_extensions"]
-lit = ["explainable-ai-sdk (>=1.0.0) ; python_version < \"3.13\"", "lit-nlp (==0.4.0) ; python_version < \"3.14\"", "pandas (>=1.0.0)", "tensorflow (>=2.3.0,<3.0.0) ; python_version < \"3.13\""]
+lit = ["explainable-ai-sdk (>=1.0.0) ; python_version < \"3.13\"", "lit-nlp (==0.4.0) ; python_version < \"3.13\"", "pandas (>=1.0.0)", "tensorflow (>=2.3.0,<3.0.0) ; python_version < \"3.13\""]
 llama-index = ["llama-index", "llama-index-llms-google-genai", "openinference-instrumentation-llama-index (>=3.0,<4.0)"]
 llama-index-testing = ["absl-py", "cloudpickle (>=3.0,<4.0)", "google-cloud-trace (<2)", "llama-index", "llama-index-llms-google-genai", "openinference-instrumentation-llama-index (>=3.0,<4.0)", "opentelemetry-exporter-gcp-logging (>=1.11.0a0,<2.0.0)", "opentelemetry-exporter-gcp-trace (<2)", "opentelemetry-exporter-otlp-proto-http (<2)", "opentelemetry-sdk (<2)", "pydantic (>=2.11.1,<3)", "pytest-xdist", "typing_extensions"]
 metadata = ["numpy (>=1.15.0)", "pandas (>=1.0.0)"]
 pipelines = ["pyyaml (>=5.3.1,<7)"]
-prediction = ["docker (>=5.0.3)", "fastapi (>=0.71.0,<=0.114.0)", "httpx (>=0.23.0,<=0.28.1)", "starlette (>=0.17.1)", "uvicorn[standard] (>=0.16.0)"]
+prediction = ["docker (>=5.0.3)", "fastapi (>=0.71.0,<=0.124.4)", "httpx (>=0.23.0,<=0.28.1)", "starlette (>=0.17.1)", "uvicorn[standard] (>=0.16.0)"]
 private-endpoints = ["requests (>=2.28.1)", "urllib3 (>=1.21.1,<1.27)"]
 ray = ["google-cloud-bigquery", "google-cloud-bigquery-storage", "immutabledict", "pandas (>=1.0.0)", "pyarrow (>=6.0.1)", "ray[default] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<2.10.dev0 || ==2.33.* || >=2.42.dev0,<=2.42.0) ; python_version < \"3.11\"", "ray[default] (>=2.5,<=2.47.1) ; python_version == \"3.11\""]
 ray-testing = ["google-cloud-bigquery", "google-cloud-bigquery-storage", "immutabledict", "pandas (>=1.0.0)", "pyarrow (>=6.0.1)", "pytest-xdist", "ray[default] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<2.10.dev0 || ==2.33.* || >=2.42.dev0,<=2.42.0) ; python_version < \"3.11\"", "ray[default] (>=2.5,<=2.47.1) ; python_version == \"3.11\"", "ray[train]", "scikit-learn (<1.6.0)", "tensorflow ; python_version < \"3.13\"", "torch (>=2.0.0,<2.1.0)", "xgboost", "xgboost_ray"]
 reasoningengine = ["cloudpickle (>=3.0,<4.0)", "google-cloud-trace (<2)", "opentelemetry-exporter-gcp-logging (>=1.11.0a0,<2.0.0)", "opentelemetry-exporter-gcp-trace (<2)", "opentelemetry-exporter-otlp-proto-http (<2)", "opentelemetry-sdk (<2)", "pydantic (>=2.11.1,<3)", "typing_extensions"]
 tensorboard = ["tensorboard-plugin-profile (>=2.4.0,<2.18.0)", "werkzeug (>=2.0.0,<4.0.0)"]
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 vizier = ["google-vizier (>=0.1.6)"]
 xai = ["tensorflow (>=2.3.0,<3.0.0) ; python_version < \"3.13\""]
@@ -3298,7 +3298,7 @@ description = "Mach-O header analysis and editing"
 optional = false
 python-versions = "*"
 groups = ["dev"]
-markers = "sys_platform == \"darwin\" and python_version <= \"3.14\""
+markers = "python_version < \"3.15\" and sys_platform == \"darwin\""
 files = [
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@@ -3882,7 +3882,7 @@ description = "Fundamental package for array computing in Python"
 optional = true
 python-versions = ">=3.11"
 groups = ["main"]
-markers = "extra == \"sandbox\" or extra == \"vertex\""
+markers = "extra == \"sandbox\""
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@@ -4347,7 +4347,7 @@ description = "Python PE parsing module"
 optional = false
 python-versions = ">=3.6.0"
 groups = ["dev"]
-markers = "sys_platform == \"win32\" and python_version <= \"3.14\""
+markers = "python_version < \"3.15\" and sys_platform == \"win32\""
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@@ -4360,7 +4360,7 @@ description = "Pexpect allows easy control of interactive console applications."
 optional = true
 python-versions = "*"
 groups = ["main"]
-markers = "sys_platform != \"win32\" and sys_platform != \"emscripten\" and extra == \"sandbox\""
+markers = "extra == \"sandbox\" and sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
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@@ -4769,7 +4769,7 @@ description = "Run a subprocess in a pseudo terminal"
 optional = true
 python-versions = "*"
 groups = ["main"]
-markers = "sys_platform != \"win32\" and sys_platform != \"emscripten\" and extra == \"sandbox\""
+markers = "extra == \"sandbox\" and sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
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@@ -5085,7 +5085,7 @@ description = "PyInstaller bundles a Python application and all its dependencies
 optional = false
 python-versions = "<3.15,>=3.8"
 groups = ["dev"]
-markers = "python_version <= \"3.14\""
+markers = "python_version < \"3.15\""
 files = [
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@@ -5121,7 +5121,7 @@ description = "Community maintained hooks for PyInstaller"
 optional = false
 python-versions = ">=3.8"
 groups = ["dev"]
-markers = "python_version <= \"3.14\""
+markers = "python_version < \"3.15\""
 files = [
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@@ -5239,9 +5239,10 @@ diagrams = ["jinja2", "railroad-diagrams"]
 name = "pypdf"
 version = "6.7.1"
 description = "A pure-python PDF library capable of splitting, merging, cropping, and transforming PDF files"
-optional = false
+optional = true
 python-versions = ">=3.9"
 groups = ["main"]
+markers = "extra == \"sandbox\""
 files = [
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@@ -5502,7 +5503,7 @@ description = "A (partial) reimplementation of pywin32 using ctypes/cffi"
 optional = false
 python-versions = ">=3.6"
 groups = ["dev"]
-markers = "sys_platform == \"win32\" and python_version <= \"3.14\""
+markers = "python_version < \"3.15\" and sys_platform == \"win32\""
 files = [
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@@ -6149,81 +6150,6 @@ enabler = ["pytest-enabler (>=2.2)"]
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-    {file = "shapely-2.1.2-cp313-cp313t-win_amd64.whl", hash = "sha256:4a44bc62a10d84c11a7a3d7c1c4fe857f7477c3506e24c9062da0db0ae0c449c"},
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-    {file = "shapely-2.1.2-cp314-cp314t-win32.whl", hash = "sha256:b54df60f1fbdecc8ebc2c5b11870461a6417b3d617f555e5033f1505d36e5735"},
-    {file = "shapely-2.1.2-cp314-cp314t-win_amd64.whl", hash = "sha256:0036ac886e0923417932c2e6369b6c52e38e0ff5d9120b90eef5cd9a5fc5cae9"},
-    {file = "shapely-2.1.2.tar.gz", hash = "sha256:2ed4ecb28320a433db18a5bf029986aa8afcfd740745e78847e330d5d94922a9"},
-]
-
-[package.dependencies]
-numpy = ">=1.21"
-
-[package.extras]
-docs = ["matplotlib", "numpydoc (==1.1.*)", "sphinx", "sphinx-book-theme", "sphinx-remove-toctrees"]
-test = ["pytest", "pytest-cov", "scipy-doctest"]
-
 [[package]]
 name = "six"
 version = "1.17.0"
@@ -6532,7 +6458,7 @@ description = "Standard library aifc redistribution. \"dead battery\"."
 optional = true
 python-versions = "*"
 groups = ["main"]
-markers = "extra == \"sandbox\" and python_version >= \"3.13\""
+markers = "python_version >= \"3.13\" and extra == \"sandbox\""
 files = [
     {file = "standard_aifc-3.13.0-py3-none-any.whl", hash = "sha256:f7ae09cc57de1224a0dd8e3eb8f73830be7c3d0bc485de4c1f82b4a7f645ac66"},
     {file = "standard_aifc-3.13.0.tar.gz", hash = "sha256:64e249c7cb4b3daf2fdba4e95721f811bde8bdfc43ad9f936589b7bb2fae2e43"},
@@ -6549,7 +6475,7 @@ description = "Standard library chunk redistribution. \"dead battery\"."
 optional = true
 python-versions = "*"
 groups = ["main"]
-markers = "extra == \"sandbox\" and python_version >= \"3.13\""
+markers = "python_version >= \"3.13\" and extra == \"sandbox\""
 files = [
     {file = "standard_chunk-3.13.0-py3-none-any.whl", hash = "sha256:17880a26c285189c644bd5bd8f8ed2bdb795d216e3293e6dbe55bbd848e2982c"},
     {file = "standard_chunk-3.13.0.tar.gz", hash = "sha256:4ac345d37d7e686d2755e01836b8d98eda0d1a3ee90375e597ae43aaf064d654"},

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "strix-agent"
-version = "0.8.1"
+version = "0.8.2"
 description = "Open-source AI Hackers for your apps"
 authors = ["Strix <hi@usestrix.com>"]
 readme = "README.md"

scripts/install.sh

@@ -4,7 +4,7 @@ set -euo pipefail
 
 APP=strix
 REPO="usestrix/strix"
-STRIX_IMAGE="ghcr.io/usestrix/strix-sandbox:0.1.11"
+STRIX_IMAGE="ghcr.io/usestrix/strix-sandbox:0.1.12"
 
 MUTED='\033[0;2m'
 RED='\033[0;31m'

strix/agents/base_agent.py

@@ -333,6 +333,14 @@ class BaseAgent(metaclass=AgentMeta):
 
                 if "agent_id" in sandbox_info:
                     self.state.sandbox_info["agent_id"] = sandbox_info["agent_id"]
+
+                caido_port = sandbox_info.get("caido_port")
+                if caido_port:
+                    from strix.telemetry.tracer import get_global_tracer
+
+                    tracer = get_global_tracer()
+                    if tracer:
+                        tracer.caido_url = f"localhost:{caido_port}"
             except Exception as e:
                 from strix.telemetry import posthog
 

strix/config/config.py

@@ -40,7 +40,7 @@ class Config:
     strix_disable_browser = "false"
 
     # Runtime Configuration
-    strix_image = "ghcr.io/usestrix/strix-sandbox:0.1.11"
+    strix_image = "ghcr.io/usestrix/strix-sandbox:0.1.12"
     strix_runtime_backend = "docker"
     strix_sandbox_execution_timeout = "120"
     strix_sandbox_connect_timeout = "10"

strix/interface/assets/tui_styles.tcss

@@ -77,12 +77,21 @@ Toast.-information .toast--title {
     margin-bottom: 0;
 }
 
-#stats_display {
+#stats_scroll {
     height: auto;
     max-height: 15;
     background: transparent;
     padding: 0;
     margin: 0;
+    border: round #333333;
+    scrollbar-size: 0 0;
+}
+
+#stats_display {
+    height: auto;
+    background: transparent;
+    padding: 0 1;
+    margin: 0;
 }
 
 #vulnerabilities_panel {

strix/interface/main.py

@@ -462,7 +462,7 @@ def display_completion_message(args: argparse.Namespace, results_path: Path) ->
     console.print("\n")
     console.print(panel)
     console.print()
-    console.print("[#60a5fa]strix.ai[/]  [dim]·[/]  [#60a5fa]discord.gg/strix-ai[/]")
+    console.print("[#60a5fa]models.strix.ai[/]  [dim]·[/]  [#60a5fa]discord.gg/strix-ai[/]")
     console.print()
 
 

strix/interface/tui.py

@@ -687,7 +687,7 @@ class StrixTUIApp(App):  # type: ignore[misc]
     CSS_PATH = "assets/tui_styles.tcss"
     ALLOW_SELECT = True
 
-    SIDEBAR_MIN_WIDTH = 140
+    SIDEBAR_MIN_WIDTH = 120
 
     selected_agent_id: reactive[str | None] = reactive(default=None)
     show_splash: reactive[bool] = reactive(default=True)
@@ -829,11 +829,11 @@ class StrixTUIApp(App):  # type: ignore[misc]
             agents_tree.guide_style = "dashed"
 
             stats_display = Static("", id="stats_display")
-            stats_display.ALLOW_SELECT = False
+            stats_scroll = VerticalScroll(stats_display, id="stats_scroll")
 
             vulnerabilities_panel = VulnerabilitiesPanel(id="vulnerabilities_panel")
 
-            sidebar = Vertical(agents_tree, vulnerabilities_panel, stats_display, id="sidebar")
+            sidebar = Vertical(agents_tree, vulnerabilities_panel, stats_scroll, id="sidebar")
 
             content_container.mount(chat_area_container)
             content_container.mount(sidebar)
@@ -1272,6 +1272,9 @@ class StrixTUIApp(App):  # type: ignore[misc]
         if not self._is_widget_safe(stats_display):
             return
 
+        if self.screen.selections:
+            return
+
         stats_content = Text()
 
         stats_text = build_tui_stats_text(self.tracer, self.agent_config)
@@ -1281,15 +1284,7 @@ class StrixTUIApp(App):  # type: ignore[misc]
         version = get_package_version()
         stats_content.append(f"\nv{version}", style="white")
 
-        from rich.panel import Panel
+        self._safe_widget_operation(stats_display.update, stats_content)
-
-        stats_panel = Panel(
-            stats_content,
-            border_style="#333333",
-            padding=(0, 1),
-        )
-
-        self._safe_widget_operation(stats_display.update, stats_panel)
 
     def _update_vulnerabilities_panel(self) -> None:
         """Update the vulnerabilities panel with current vulnerability data."""

strix/interface/utils.py

@@ -390,6 +390,12 @@ def build_tui_stats_text(tracer: Any, agent_config: dict[str, Any] | None = None
         stats_text.append(" · ", style="white")
         stats_text.append(f"${total_stats['cost']:.2f}", style="white")
 
+    caido_url = getattr(tracer, "caido_url", None)
+    if caido_url:
+        stats_text.append("\n")
+        stats_text.append("Caido: ", style="bold white")
+        stats_text.append(caido_url, style="white")
+
     return stats_text
 
 

strix/runtime/docker_runtime.py

@@ -22,6 +22,7 @@ from .runtime import AbstractRuntime, SandboxInfo
 HOST_GATEWAY_HOSTNAME = "host.docker.internal"
 DOCKER_TIMEOUT = 60
 CONTAINER_TOOL_SERVER_PORT = 48081
+CONTAINER_CAIDO_PORT = 48080
 
 
 class DockerRuntime(AbstractRuntime):
@@ -37,6 +38,7 @@ class DockerRuntime(AbstractRuntime):
         self._scan_container: Container | None = None
         self._tool_server_port: int | None = None
         self._tool_server_token: str | None = None
+        self._caido_port: int | None = None
 
     def _find_available_port(self) -> int:
         with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s:
@@ -78,6 +80,10 @@ class DockerRuntime(AbstractRuntime):
         if port_bindings.get(port_key):
             self._tool_server_port = int(port_bindings[port_key][0]["HostPort"])
 
+        caido_port_key = f"{CONTAINER_CAIDO_PORT}/tcp"
+        if port_bindings.get(caido_port_key):
+            self._caido_port = int(port_bindings[caido_port_key][0]["HostPort"])
+
     def _wait_for_tool_server(self, max_retries: int = 30, timeout: int = 5) -> None:
         host = self._resolve_docker_host()
         health_url = f"http://{host}:{self._tool_server_port}/health"
@@ -121,6 +127,7 @@ class DockerRuntime(AbstractRuntime):
                     time.sleep(1)
 
                 self._tool_server_port = self._find_available_port()
+                self._caido_port = self._find_available_port()
                 self._tool_server_token = secrets.token_urlsafe(32)
                 execution_timeout = Config.get("strix_sandbox_execution_timeout") or "120"
 
@@ -130,7 +137,10 @@ class DockerRuntime(AbstractRuntime):
                     detach=True,
                     name=container_name,
                     hostname=container_name,
-                    ports={f"{CONTAINER_TOOL_SERVER_PORT}/tcp": self._tool_server_port},
+                    ports={
+                        f"{CONTAINER_TOOL_SERVER_PORT}/tcp": self._tool_server_port,
+                        f"{CONTAINER_CAIDO_PORT}/tcp": self._caido_port,
+                    },
                     cap_add=["NET_ADMIN", "NET_RAW"],
                     labels={"strix-scan-id": scan_id},
                     environment={
@@ -152,6 +162,7 @@ class DockerRuntime(AbstractRuntime):
                 if attempt < max_retries:
                     self._tool_server_port = None
                     self._tool_server_token = None
+                    self._caido_port = None
                     time.sleep(2**attempt)
             else:
                 return container
@@ -173,6 +184,7 @@ class DockerRuntime(AbstractRuntime):
                 self._scan_container = None
                 self._tool_server_port = None
                 self._tool_server_token = None
+                self._caido_port = None
 
         try:
             container = self.client.containers.get(container_name)
@@ -260,7 +272,7 @@ class DockerRuntime(AbstractRuntime):
             raise RuntimeError("Docker container ID is unexpectedly None")
 
         token = existing_token or self._tool_server_token
-        if self._tool_server_port is None or token is None:
+        if self._tool_server_port is None or self._caido_port is None or token is None:
             raise RuntimeError("Tool server not initialized")
 
         host = self._resolve_docker_host()
@@ -273,6 +285,7 @@ class DockerRuntime(AbstractRuntime):
             "api_url": api_url,
             "auth_token": token,
             "tool_server_port": self._tool_server_port,
+            "caido_port": self._caido_port,
             "agent_id": agent_id,
         }
 
@@ -314,6 +327,7 @@ class DockerRuntime(AbstractRuntime):
             self._scan_container = None
             self._tool_server_port = None
             self._tool_server_token = None
+            self._caido_port = None
         except (NotFound, DockerException):
             pass
 
@@ -323,6 +337,7 @@ class DockerRuntime(AbstractRuntime):
             self._scan_container = None
             self._tool_server_port = None
             self._tool_server_token = None
+            self._caido_port = None
 
             if container_name is None:
                 return

strix/runtime/runtime.py

@@ -7,6 +7,7 @@ class SandboxInfo(TypedDict):
     api_url: str
     auth_token: str | None
     tool_server_port: int
+    caido_port: int
     agent_id: str
 
 

strix/telemetry/tracer.py

@@ -56,6 +56,7 @@ class Tracer:
         self._next_message_id = 1
         self._saved_vuln_ids: set[str] = set()
 
+        self.caido_url: str | None = None
         self.vulnerability_found_callback: Callable[[dict[str, Any]], None] | None = None
 
     def set_run_name(self, run_name: str) -> None: