@avcodes/harbor - npm Package Compare versions

Comparing version 0.3.21 to 0.3.22

AGENTS.md

+You will not confuse this project with the Harbor container registry. This is a different project with the same name.
+Harbor is a containerized LLM toolkit that allows you to run LLMs and additional services. It consists of a CLI and a companion App that allows you to manage and run AI services with ease.
+Harbor is in essence a very large Docker Compose project with extra conventions and tools for managing it.
+You can't read `harbor.sh` in its entirety, it's too large for you.
+When adding new service, read [instructions for adding new service](./.github/copilot-new-service.md).
+When user shows you a new or not obvious command for you - document it in this AGENTS.md file.
+
+Important locations:
+- '.' - root, also referred to as `$(harbor home)`
+- `harbor.sh` - the main CLI script, it is very large and complex, but it contains the main entry point for the CLI
+- `/app` - the Tauri app that provides a GUI for managing services
+- `/docs` - documentation for the project and services
+- `/routines` - part of the CLI that was rewritten in Deno
+- `/.scripts` - scripts for development tasks, written in Deno and Bash
+
+The CLI is already installed globally for your tests, you may run `harbor <command>` directly.
+
+```bash
+harbor help
+harbor build <service>
+harbor logs <service> # tails by default
+# Raw compose command for the service
+$(harbor cmd <service>)
+```
+
+Refer to [CLI Reference](./docs/3.-Harbor-CLI-Reference.md) for more details.

compose.windmill.yml

+services:
+  windmill:
+    image: ${HARBOR_WINDMILL_CADDY_IMAGE}:${HARBOR_WINDMILL_CADDY_VERSION}
+    container_name: ${HARBOR_CONTAINER_PREFIX}.windmill
+    restart: unless-stopped
+    ports:
+      - ${HARBOR_WINDMILL_HOST_PORT}:80
+    volumes:
+      - ./windmill/Caddyfile:/etc/caddy/Caddyfile
+      - ${HARBOR_WINDMILL_WORKSPACE}/caddy_data:/data
+    environment:
+      - HARBOR_WINDMILL_BASE_URL=${HARBOR_WINDMILL_BASE_URL}
+      - HARBOR_WINDMILL_ADDRESS=${HARBOR_WINDMILL_ADDRESS}
+    env_file:
+      - ./.env
+      - ./windmill/override.env
+    networks:
+      - harbor-network
+    depends_on:
+      windmill-server:
+        condition: service_started
+
+  windmill-db:
+    image: ${HARBOR_WINDMILL_DB_IMAGE}:${HARBOR_WINDMILL_DB_VERSION}
+    container_name: ${HARBOR_CONTAINER_PREFIX}.windmill-db
+    restart: unless-stopped
+    environment:
+      POSTGRES_PASSWORD: ${HARBOR_WINDMILL_DB_PASSWORD}
+      POSTGRES_USER: ${HARBOR_WINDMILL_DB_USER}
+      POSTGRES_DB: ${HARBOR_WINDMILL_DB_NAME}
+    healthcheck:
+      test: ["CMD-SHELL", "pg_isready -U ${HARBOR_WINDMILL_DB_USER}"]
+      interval: 10s
+      timeout: 5s
+      retries: 5
+    volumes:
+      - ${HARBOR_WINDMILL_WORKSPACE}/db:/var/lib/postgresql/data
+    networks:
+      - harbor-network
+    ports:
+      - ${HARBOR_WINDMILL_DB_HOST_PORT}:5432
+
+  windmill-server:
+    image: ${HARBOR_WINDMILL_IMAGE}:${HARBOR_WINDMILL_VERSION}
+    container_name: ${HARBOR_CONTAINER_PREFIX}.windmill-server
+    restart: unless-stopped
+    environment:
+      - DATABASE_URL=postgresql://${HARBOR_WINDMILL_DB_USER}:${HARBOR_WINDMILL_DB_PASSWORD}@windmill-db:5432/${HARBOR_WINDMILL_DB_NAME}?sslmode=disable
+      - MODE=server
+    env_file:
+      - ./.env
+      - ./windmill/override.env
+    depends_on:
+      windmill-db:
+        condition: service_healthy
+    volumes:
+      - ${HARBOR_WINDMILL_WORKSPACE}/logs:/tmp/windmill/logs
+    networks:
+      - harbor-network
+
+  windmill-worker:
+    image: ${HARBOR_WINDMILL_IMAGE}:${HARBOR_WINDMILL_VERSION}
+    container_name: ${HARBOR_CONTAINER_PREFIX}.windmill-worker
+    restart: unless-stopped
+    environment:
+      - DATABASE_URL=postgresql://${HARBOR_WINDMILL_DB_USER}:${HARBOR_WINDMILL_DB_PASSWORD}@windmill-db:5432/${HARBOR_WINDMILL_DB_NAME}?sslmode=disable
+      - MODE=worker
+      - WORKER_GROUP=default
+    env_file:
+      - ./.env
+      - ./windmill/override.env
+    depends_on:
+      windmill-db:
+        condition: service_healthy
+    volumes:
+      - /var/run/docker.sock:/var/run/docker.sock
+      - ${HARBOR_WINDMILL_WORKSPACE}/cache:/tmp/windmill/cache
+      - ${HARBOR_WINDMILL_WORKSPACE}/logs:/tmp/windmill/logs
+    networks:
+      - harbor-network
+
+  windmill-worker-native:
+    image: ${HARBOR_WINDMILL_IMAGE}:${HARBOR_WINDMILL_VERSION}
+    container_name: ${HARBOR_CONTAINER_PREFIX}.windmill-worker-native
+    restart: unless-stopped
+    environment:
+      - DATABASE_URL=postgresql://${HARBOR_WINDMILL_DB_USER}:${HARBOR_WINDMILL_DB_PASSWORD}@windmill-db:5432/${HARBOR_WINDMILL_DB_NAME}?sslmode=disable
+      - MODE=worker
+      - WORKER_GROUP=native
+      - NUM_WORKERS=8
+      - SLEEP_QUEUE=200
+    env_file:
+      - ./.env
+      - ./windmill/override.env
+    depends_on:
+      windmill-db:
+        condition: service_healthy
+    volumes:
+      - ${HARBOR_WINDMILL_WORKSPACE}/logs:/tmp/windmill/logs
+    networks:
+      - harbor-network
+
+  windmill-lsp:
+    image: ${HARBOR_WINDMILL_LSP_IMAGE}:${HARBOR_WINDMILL_LSP_VERSION}
+    container_name: ${HARBOR_CONTAINER_PREFIX}.windmill-lsp
+    restart: unless-stopped
+    volumes:
+      - ${HARBOR_WINDMILL_WORKSPACE}/lsp_cache:/pyls/.cache
+    networks:
+      - harbor-network

compose.x.traefik.windmill.yml

+# This file is generated by seed-traefik.ts script,
+# any updates will be overwritten.
+services:
+  windmill:
+    labels:
+      - "traefik.enable=true"
+      - "traefik.http.routers.windmill.rule=Host(`windmill.${HARBOR_TRAEFIK_DOMAIN}`)"
+      - "traefik.http.services.windmill.loadbalancer.server.port=80"
+      - "traefik.http.routers.windmill.entrypoints=websecure"
+      - "traefik.http.routers.windmill.tls=true"
+      - "traefik.http.routers.windmill.service=windmill"
+
+    networks:
+      - traefik-public

docs/2.3.52-Satellite-Windmill.md

+### [Windmill](https://github.com/windmill-labs/windmill)
+
+> Handle: `windmill`<br/>
+> URL: [http://localhost:34521](http://localhost:34521)
+
+![windmill screenshot](./harbor-windmill.png)
+
+Windmill is an open-source developer platform for building internal tools through APIs, background jobs, workflows, and UIs. It's a self-hostable alternative to Retool, Pipedream, and Superblocks.
+
+**Key Features:**
+- **Multi-language support**: Python, TypeScript, Go, Bash, SQL, GraphQL
+- **Auto-generated UIs**: Scripts automatically generate interactive frontends
+- **Flow composition**: Chain scripts together into complex workflows
+- **Custom UIs**: Build sophisticated applications with low-code builder
+- **Scheduling**: Trigger workflows via cron schedules or webhooks
+- **Enterprise-grade**: Rust backend, Svelte frontend, Postgres database
+
+## Starting
+
+```bash
+# Pull the images
+harbor pull windmill
+
+# Start Windmill
+harbor up windmill --open
+```
+
+- On the first start, you'll need to go through initial setup:
+  - Default credentials: `[e-mail]` / `changeme`
+  - Telemetry is opt-out, ensure to disable if sharing stats is not desired
+- There are some excellent tutorials in the official documentation: https://www.windmill.dev/docs/intro
+- There's a hub with ready-made scripts, flows and apps: https://hub.windmill.dev/
+
+## Configuration
+
+### Environment Variables
+
+Following options can be set via [`harbor config`](./3.-Harbor-CLI-Reference.md#harbor-config):
+
+```bash
+# Main UI port (Caddy reverse proxy)
+HARBOR_WINDMILL_HOST_PORT          34521
+
+# PostgreSQL database port (optional, for debugging)
+HARBOR_WINDMILL_DB_HOST_PORT       34522
+
+# Workspace directory for persistent data
+HARBOR_WINDMILL_WORKSPACE          ./windmill
+
+# Windmill server/worker image
+HARBOR_WINDMILL_IMAGE              ghcr.io/windmill-labs/windmill
+HARBOR_WINDMILL_VERSION            latest
+
+# Database configuration
+HARBOR_WINDMILL_DB_IMAGE           postgres
+HARBOR_WINDMILL_DB_VERSION         16
+HARBOR_WINDMILL_DB_USER            postgres
+HARBOR_WINDMILL_DB_PASSWORD        changeme
+HARBOR_WINDMILL_DB_NAME            windmill
+
+# Caddy reverse proxy
+HARBOR_WINDMILL_CADDY_IMAGE        ghcr.io/windmill-labs/caddy-l4
+HARBOR_WINDMILL_CADDY_VERSION      latest
+HARBOR_WINDMILL_BASE_URL           :80
+HARBOR_WINDMILL_ADDRESS            0.0.0.0
+
+# Language Server Protocol
+HARBOR_WINDMILL_LSP_IMAGE          ghcr.io/windmill-labs/windmill-lsp
+HARBOR_WINDMILL_LSP_VERSION        latest
+```
+
+### Volumes
+
+Windmill persists data in the following directories:
+- `windmill/db/` - PostgreSQL database
+- `windmill/cache/` - Worker dependency cache
+- `windmill/logs/` - Worker logs
+- `windmill/lsp_cache/` - Language server cache
+- `windmill/caddy_data/` - Caddy configuration and certificates
+
+### Caddyfile
+
+The Caddy reverse proxy configuration is in `windmill/Caddyfile`. It routes:
+- `/ws/*` → Language Server (websockets)
+- `/*` → Windmill Server (main UI/API)
+- Port `25` → SMTP server (port 2525 on windmill-server)
+
+## Integration with Harbor
+
+Windmill can integrate with other Harbor services:
+- Use Harbor LLM backends (Ollama, vLLM, etc.) via API calls
+- Access SearXNG for web search in workflows
+- Store files in Harbor's shared volumes
+- Call other Harbor services via internal network
+
+## Troubleshooting
+
+### Check Logs
+
+```bash
+# All services
+harbor logs windmill
+
+# Specific service
+docker logs harbor.windmill-server
+docker logs harbor.windmill-worker
+```
+
+### Database Issues
+
+If migrations fail or database is corrupted:
+
+```bash
+# Stop services
+harbor down windmill
+
+# Remove database (WARNING: destroys all data)
+rm -rf windmill/db
+
+# Restart
+harbor up windmill
+```
+
+### Worker Issues
+
+If jobs are stuck or failing:
+
+```bash
+# Check worker logs
+harbor logs harbor.windmill-worker
+
+# Restart windmill
+harbor restart windmill
+```
+
+## Links
+
+- [Official Documentation](https://www.windmill.dev/docs/intro/)
+- [GitHub Repository](https://github.com/windmill-labs/windmill)
+- [Windmill Hub](https://hub.windmill.dev/) - Community scripts and flows
+- [Discord Community](https://discord.gg/V7PM2YHsPB)

windmill/override.env

+# This file can be used for additional environment variables
+# specifically for the 'windmill' service.
+# You can also use the "harbor env" command to set these variables.
+DISABLE_STATS=true

.github/copilot-new-service.md

@@ -102,2 +102,3 @@ # Adding new service
 - If service exposes ports, use `${HARBOR_${HANDLE}_HOST_PORT}:${internal_port}` format
+- Main container in the compose file MUST match the service handle
 
@@ -104,0 +105,0 @@ ### Step 4: Add Environment Variables to profiles/default.env

.scripts/seed.ts

@@ -9,3 +9,3 @@ // deno run -A ./.scripts/seed.ts
 
-const VERSION = "0.3.21";
+const VERSION = "0.3.22";
 
@@ -12,0 +12,0 @@ type ValueSeed = {

.vscode/settings.json

@@ -10,3 +10,4 @@ {
     }
-  ]
+  ],
+  "chat.useAgentsMdFile": true,
 }

app/package.json

 {
   "name": "@avcodes/harbor-app",
   "private": true,
-  "version": "0.3.21",
+  "version": "0.3.22",
   "type": "module",
@@ -6,0 +6,0 @@ "scripts": {

app/src-tauri/Cargo.toml

 
 [package]
 name = "harbor-app"
-version = "0.3.21"
+version = "0.3.22"
 description = "A companion app for Harbor LLM toolkit"
@@ -6,0 +6,0 @@ authors = ["av"]

app/src-tauri/tauri.conf.json

 {
   "$schema": "https://schema.tauri.app/config/2.4.0",
   "productName": "Harbor",
-  "version": "0.3.21",
+  "version": "0.3.22",
   "identifier": "com.harbor.app",
@@ -6,0 +6,0 @@ "build": {

app/src/serviceMetadata.ts

@@ -561,3 +561,9 @@
         tooltip: 'Jupyter Lab environment with Unsloth for fast LLM fine-tuning - 2x faster training with 70% less memory.'
-    }
+    },
+    windmill: {
+        name: 'Windmill',
+        tags: [HST.satellite, HST.workflows],
+        wikiUrl: `${wikiUrl}/2.3.52-Satellite-Windmill`,
+        tooltip: 'Open-source developer platform for internal tools, workflows, and UIs with multi-language script support.'
+    },
 };

boost/pyproject.toml

@@ -8,2 +8,2 @@
 dependencies = ["fastapi==0.111.0","uvicorn[standard]==0.30.6","requests==2.32.3","aiohttp==3.10.5","litellm==1.65.7","mcp==1.6.0","cachetools==5.5.2","asyncache==0.3.1","openai","websockets==15.0.1"]
-version = "0.3.21"
+version = "0.3.22"

comfyui/provisioning.sh

@@ -90,5 +90,5 @@ #!/bin/bash
     if [[ -z $MAMBA_BASE ]]; then
-            "$COMFYUI_VENV_PIP" install --no-cache-dir "$@"
+            "$COMFYUI_VENV_PIP" install --no-cache-dir --target /opt/comfyui-packages "$@"
         else
-            micromamba run -n comfyui pip install --no-cache-dir "$@"
+            micromamba run -n comfyui pip install --no-cache-dir --target /opt/comfyui-packages "$@"
         fi
@@ -95,0 +95,0 @@ }

compose.comfyui.yml

@@ -11,3 +11,3 @@ services:
       # docker image pinning
-      - AUTO_UPDATE=false
+      # - AUTO_UPDATE=false
       # Should not establish tunnels by default, "harbor tunnel"
@@ -40,4 +40,5 @@ # should be used instead
       - ${HARBOR_COMFYUI_WORKSPACE}:/workspace
+      - ./comfyui/packages:/opt/comfyui-packages
     networks:
       - harbor-network
 

compose.llamaswap.yml

@@ -13,6 +13,6 @@ services:
     volumes:
-      - ${HARBOR_OLLAMA_CACHE}:/root/.ollama
-      - ${HARBOR_HF_CACHE}:/root/.cache/huggingface
-      - ${HARBOR_LLAMACPP_CACHE}:/root/.cache/llama.cpp
-      - ${HARBOR_VLLM_CACHE}:/root/.cache/vllm
+      - ${HARBOR_OLLAMA_CACHE}:/app/.ollama
+      - ${HARBOR_HF_CACHE}:/app/.cache/huggingface
+      - ${HARBOR_LLAMACPP_CACHE}:/app/.cache/llama.cpp
+      - ${HARBOR_VLLM_CACHE}:/app/.cache/vllm
       - ./llamaswap/config.yaml:/app/config.yaml

docs/2.-Services.md

@@ -270,2 +270,5 @@
 Linux in a web browser supporting popular desktop environments.
+
+- [Windmill](https://github.com/av/harbor/wiki/2.3.52-Satellite-Windmill) <span style="opacity: 0.5;">`Satellite`, `Workflows`</span><br/>
+Open-source developer platform for internal tools, workflows, and UIs with multi-language script support.
   

docs/2.1.2-Frontend&colon-ComfyUI.md

@@ -64,3 +64,14 @@ ### [ComfyUI](https://github.com/comfyanonymous/ComfyUI)
 - Harbor's default workflow for the `comfyui` is very basic to get you started, explore the ComfyUI documentation to learn more about the advanced features
+- ⚠️ Due to how Harbor's ComfyUI container is structured, after modifying container packages, you must run `harbor comfyui workspace sync` to persist the changes to the local workspace, otherwise they will be lost on the next restart.
+- ⚠️ `ai-dock` wasn't updated since November 2024, so you'll likely want to update ComfyUI
 
+To update ComfyUI via the Web interface, you can follow these steps:
+![update steps](./harbor-comfyui-update.png)
+
+After update, please sync the workspace to avoid losing changes on restart:
+
+```bash
+harbor comfyui workspace sync
+```
+
 #### Authentication
@@ -67,0 +78,0 @@

docs/2.2.2-Backend&colon-llama.cpp.md

@@ -22,10 +22,16 @@ ### [llama.cpp](https://github.com/ggerganov/llama.cpp)
 harbor pull llamacpp
-```
 
-Start Harbor with `llamacpp` service:
+# Start the  llama.cpp service
+harbor up llamacpp
 
-```bash
-harbor up llamacpp
+# Tail service logs
+harbor logs llamacpp
+
+# Open llamacpp Web UI
+harbor open llamacpp
 ```
 
+- Harbor will automatically allocate GPU resources to the container if available, see [Capabilities Detection](./3.-Harbor-CLI-Reference.md#capabilities-detection).
+- `llamacpp` will be connected to `aider`, `anythingllm`, `boost`, `chatui`, `cmdh`, `opint`, `optillm`, `plandex`, `traefik`, `webui` services when they are running together.
+
 #### Models
@@ -32,0 +38,0 @@

docs/2.3.40-Satellite-llamaswap.md

@@ -21,6 +21,6 @@ ### [llama-swap](https://github.com/mostlygeek/llama-swap)
 - Harbor will mount following local caches to be available within llama-swap container:
-  - Ollama - `/root/.ollama`
-  - Hugging Face - `/root/.cache/huggingface`
-  - llama.cpp - `/root/.cache/llama.cpp`
-  - vLLM - `/root/.cache/vllm`
+  - Ollama - `/app/.ollama`
+  - Hugging Face - `/app/.cache/huggingface`
+  - llama.cpp - `/app/.cache/llama.cpp`
+  - vLLM - `/app/.cache/vllm`
 
@@ -27,0 +27,0 @@ ### Configuration

package.json

 {
   "name": "@avcodes/harbor",
-  "version": "0.3.21",
+  "version": "0.3.22",
   "description": "Effortlessly run LLM backends, APIs, frontends, and services with one command.",
@@ -5,0 +5,0 @@ "private": false,

profiles/default.env

@@ -689,2 +689,20 @@ # ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░
 
+# Windmill
+HARBOR_WINDMILL_HOST_PORT=34521
+HARBOR_WINDMILL_DB_HOST_PORT=34522
+HARBOR_WINDMILL_WORKSPACE="./windmill"
+HARBOR_WINDMILL_IMAGE="ghcr.io/windmill-labs/windmill"
+HARBOR_WINDMILL_VERSION="latest"
+HARBOR_WINDMILL_DB_IMAGE="postgres"
+HARBOR_WINDMILL_DB_VERSION="16"
+HARBOR_WINDMILL_DB_USER="postgres"
+HARBOR_WINDMILL_DB_PASSWORD="changeme"
+HARBOR_WINDMILL_DB_NAME="windmill"
+HARBOR_WINDMILL_CADDY_IMAGE="ghcr.io/windmill-labs/caddy-l4"
+HARBOR_WINDMILL_CADDY_VERSION="latest"
+HARBOR_WINDMILL_LSP_IMAGE="ghcr.io/windmill-labs/windmill-lsp"
+HARBOR_WINDMILL_LSP_VERSION="latest"
+HARBOR_WINDMILL_BASE_URL=":80"
+HARBOR_WINDMILL_ADDRESS="0.0.0.0"
+
 # ============================================
@@ -717,2 +735,2 @@ # Service Configuration.
 VLLM_NO_USAGE_STATS=true
-VLLM_DO_NOT_TRACK=1
+VLLM_DO_NOT_TRACK=1

pyproject.toml

 
 [tool.poetry]
 name = "llm-harbor"
-version = "0.3.21"
+version = "0.3.22"
 description = "Effortlessly run LLM backends, APIs, frontends, and services with one command."
@@ -12,3 +12,3 @@ repository = "https://github.com/av/harbor"
 classifiers = ["Topic :: Utilities","Topic :: Scientific/Engineering :: Artificial Intelligence","Environment :: Console","License :: OSI Approved :: Apache Software License"]
-include = 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
@@ -15,0 +15,0 @@ [[tool.poetry.packages]]

README.md

@@ -174,2 +174,5 @@ ![Harbor project logo](https://github.com/av/harbor/raw/main/docs/harbor-2.png)
 harbor profile use default
+
+# Import profiles from a URL
+harbor profile use https://example.com/path/to/harbor-profile.env
 ```
@@ -287,3 +290,4 @@
 [Browser Use](https://github.com/av/harbor/wiki/2.3.50-Satellite-Browser-Use) ⦁︎
-[Unsloth](https://github.com/av/harbor/wiki/2.3.51-Satellite-Unsloth)
+[Unsloth](https://github.com/av/harbor/wiki/2.3.51-Satellite-Unsloth) ⦁︎
+[Windmill](https://github.com/av/harbor/wiki/2.3.52-Satellite-Windmill)
 
@@ -377,2 +381,4 @@
 harbor profile use default
+# Import profile from a URL
+harbor profile use https://example.com/path/to/harbor-profile.env
 
@@ -379,0 +385,0 @@ # Lookup recently used harbor commands

.github/copilot-instructions.md

-You will not confuse this project with the Harbor container registry. This is a different project with the same name.
-Harbor is a containerized LLM toolkit that allows you to run LLMs and additional services. It consists of a CLI and a companion App that allows you to manage and run AI services with ease.
-Harbor is in essence a very large Docker Compose project with extra conventions and tools for managing it.
-You can't read `harbor.sh` at once, it's too large for you
-Important locations:
-- '.' - root, also referred to as `$(harbor home)`
-- `harbor.sh` - the main CLI script, it is very large and complex, but it contains the main entry point for the CLI
-- `/app` - the Tauri app that provides a GUI for managing services
-- `/docs` - documentation for the project and services
-- `/routines` - part of the CLI that was rewritten in Deno
-- `/.scripts` - scripts for development tasks, written in Deno and Bash

.vscode/.copilot-instructions.md

-Add comments to non-trivial pieces of code.
-When writing bash scripts, ensure that code is compatible with bash 3 for MacOS.

New alerts

Network access

Supply chain risk

This module accesses the network.

Found 5 instances in 1 package

Uses eval

Supply chain risk

Package uses dynamic code execution (e.g., eval()), which is a dangerous practice. This can prevent the code from running in certain environments and increases the risk that the code may contain exploits or malicious behavior.

Found 1 instance in 1 package

Environment variable access

Supply chain risk

Package accesses environment variables, which may be a sign of credential stuffing or data theft.

Found 15 instances in 1 package

Filesystem access

Supply chain risk

Accesses the file system, and could potentially read sensitive data.

Found 1 instance in 1 package

AI-detected potential code anomaly

Supply chain risk

AI has identified unusual behaviors that may pose a security risk.

Found 3 instances in 1 package

Long strings

Supply chain risk

Contains long string literals, which may be a sign of obfuscated or packed code.

Found 1 instance in 1 package

URL strings

Supply chain risk

Package contains fragments of external URLs or IP addresses, which the package may be accessing at runtime.

Found 1 instance in 1 package

Fixed alerts

Network access

Supply chain risk

This module accesses the network.

Found 5 instances in 1 package

Uses eval

Supply chain risk

Package uses dynamic code execution (e.g., eval()), which is a dangerous practice. This can prevent the code from running in certain environments and increases the risk that the code may contain exploits or malicious behavior.

Found 1 instance in 1 package

Environment variable access

Supply chain risk

Package accesses environment variables, which may be a sign of credential stuffing or data theft.

Found 15 instances in 1 package

Filesystem access

Supply chain risk

Accesses the file system, and could potentially read sensitive data.

Found 1 instance in 1 package

AI-detected potential code anomaly

Supply chain risk

AI has identified unusual behaviors that may pose a security risk.

Found 1 instance in 1 package

Long strings

Supply chain risk

Contains long string literals, which may be a sign of obfuscated or packed code.

Found 1 instance in 1 package

URL strings

Supply chain risk

Package contains fragments of external URLs or IP addresses, which the package may be accessing at runtime.

Found 1 instance in 1 package

Improved metrics

Total package byte prevSize

34298810

1.84%

Number of package files

1254

0.48%

Lines of code

29204

0.02%

Number of lines in readme file

431

1.41%

Worsened metrics

Number of low supply chain risk alerts

32

6.67%

No dependency changes