feat: add sim & pingap
This commit is contained in:
Sun-ZhenXing
@@ -48,8 +48,8 @@ Compose Anything helps users quickly deploy various services by providing a set
|
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| [Kibana](./src/kibana) | 8.16.1 |
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| [Kibana](./src/kibana) | 8.16.1 |
|
||||||
| [Kodbox](./src/kodbox) | 1.62 |
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| [Kodbox](./src/kodbox) | 1.62 |
|
||||||
| [Kong](./src/kong) | 3.8.0 |
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| [Kong](./src/kong) | 3.8.0 |
|
||||||
| [Langflow](./src/langflow) | latest |
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| [Langflow](./apps/langflow) | latest |
|
||||||
| [Langfuse](./src/langfuse) | 3.115.0 |
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| [Langfuse](./apps/langfuse) | 3.115.0 |
|
||||||
| [LibreOffice](./src/libreoffice) | latest |
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| [LibreOffice](./src/libreoffice) | latest |
|
||||||
| [LiteLLM](./src/litellm) | main-stable |
|
| [LiteLLM](./src/litellm) | main-stable |
|
||||||
| [Logstash](./src/logstash) | 8.16.1 |
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| [Logstash](./src/logstash) | 8.16.1 |
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||||||
@@ -100,6 +100,7 @@ Compose Anything helps users quickly deploy various services by providing a set
|
|||||||
| [Restate Cluster](./src/restate-cluster) | 1.5.3 |
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| [Restate Cluster](./src/restate-cluster) | 1.5.3 |
|
||||||
| [Restate](./src/restate) | 1.5.3 |
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| [Restate](./src/restate) | 1.5.3 |
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||||||
| [SearXNG](./src/searxng) | 2025.1.20-1ce14ef99 |
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| [SearXNG](./src/searxng) | 2025.1.20-1ce14ef99 |
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| [Sim](./apps/sim) | latest |
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| [Stable Diffusion WebUI](./src/stable-diffusion-webui-docker) | latest |
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| [Stable Diffusion WebUI](./src/stable-diffusion-webui-docker) | latest |
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||||||
| [Stirling-PDF](./src/stirling-pdf) | latest |
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| [Stirling-PDF](./src/stirling-pdf) | latest |
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| [Temporal](./src/temporal) | 1.24.2 |
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| [Temporal](./src/temporal) | 1.24.2 |
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@@ -48,8 +48,8 @@ Compose Anything 通过提供一组高质量的 Docker Compose 配置文件，
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| [Kibana](./src/kibana) | 8.16.1 |
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| [Kibana](./src/kibana) | 8.16.1 |
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| [Kodbox](./src/kodbox) | 1.62 |
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| [Kodbox](./src/kodbox) | 1.62 |
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||||||
| [Kong](./src/kong) | 3.8.0 |
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| [Kong](./src/kong) | 3.8.0 |
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| [Langflow](./src/langflow) | latest |
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| [Langflow](./apps/langflow) | latest |
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| [Langfuse](./src/langfuse) | 3.115.0 |
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| [Langfuse](./apps/langfuse) | 3.115.0 |
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| [LibreOffice](./src/libreoffice) | latest |
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| [LibreOffice](./src/libreoffice) | latest |
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| [LiteLLM](./src/litellm) | main-stable |
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| [LiteLLM](./src/litellm) | main-stable |
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| [Logstash](./src/logstash) | 8.16.1 |
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| [Logstash](./src/logstash) | 8.16.1 |
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@@ -100,6 +100,7 @@ Compose Anything 通过提供一组高质量的 Docker Compose 配置文件，
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| [Restate Cluster](./src/restate-cluster) | 1.5.3 |
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| [Restate Cluster](./src/restate-cluster) | 1.5.3 |
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| [Restate](./src/restate) | 1.5.3 |
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| [Restate](./src/restate) | 1.5.3 |
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||||||
| [SearXNG](./src/searxng) | 2025.1.20-1ce14ef99 |
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| [SearXNG](./src/searxng) | 2025.1.20-1ce14ef99 |
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|
| [Sim](./apps/sim) | latest |
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| [Stable Diffusion WebUI](./src/stable-diffusion-webui-docker) | latest |
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| [Stable Diffusion WebUI](./src/stable-diffusion-webui-docker) | latest |
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| [Stirling-PDF](./src/stirling-pdf) | latest |
|
| [Stirling-PDF](./src/stirling-pdf) | latest |
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| [Temporal](./src/temporal) | 1.24.2 |
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| [Temporal](./src/temporal) | 1.24.2 |
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@@ -1,7 +1,7 @@
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# Langflow Configuration
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# Langflow Configuration
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# Versions
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# Versions
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LANGFLOW_VERSION=latest
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LANGFLOW_VERSION=1.1.1
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POSTGRES_VERSION=16-alpine
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POSTGRES_VERSION=16-alpine
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# Port Configuration
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# Port Configuration
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@@ -52,12 +52,16 @@ DO_NOT_TRACK=false
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# Resource Limits - Langflow
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# Resource Limits - Langflow
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LANGFLOW_CPU_LIMIT=2.0
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LANGFLOW_CPU_LIMIT=2.0
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LANGFLOW_CPU_RESERVATION=0.5
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LANGFLOW_MEMORY_LIMIT=2G
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LANGFLOW_MEMORY_LIMIT=2G
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LANGFLOW_CPU_RESERVATION=0.5
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LANGFLOW_MEMORY_RESERVATION=512M
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LANGFLOW_MEMORY_RESERVATION=512M
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# Resource Limits - PostgreSQL
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# Resource Limits - PostgreSQL
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POSTGRES_CPU_LIMIT=1.0
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POSTGRES_CPU_LIMIT=1.0
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POSTGRES_CPU_RESERVATION=0.25
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POSTGRES_MEMORY_LIMIT=1G
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POSTGRES_MEMORY_LIMIT=1G
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POSTGRES_CPU_RESERVATION=0.25
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POSTGRES_MEMORY_RESERVATION=256M
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POSTGRES_MEMORY_RESERVATION=256M
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# Logging Configuration
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LOG_MAX_SIZE=100m
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LOG_MAX_FILE=3
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336
apps/langflow/README.md
Normal file
336
apps/langflow/README.md
Normal file
@@ -0,0 +1,336 @@
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# Langflow
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Langflow is a low-code visual framework for building AI applications. It's Python-based and agnostic to any model, API, or database, making it easy to build RAG applications, multi-agent systems, and custom AI workflows.
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## Features
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- **Visual Flow Builder**: Drag-and-drop interface for building AI applications
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- **Multi-Model Support**: Works with OpenAI, Anthropic, Google, HuggingFace, and more
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- **RAG Components**: Built-in support for vector databases and retrieval
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- **Custom Components**: Create your own Python components
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- **Agent Support**: Build multi-agent systems with memory and tools
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- **Real-Time Monitoring**: Track executions and debug flows
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- **API Integration**: REST API for programmatic access
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||||||
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## Quick Start
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1. Copy `.env.example` to `.env`:
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||||||
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```bash
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cp .env.example .env
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|
```
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||||||
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||||||
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2. (Optional) Edit `.env` to customize settings:
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||||||
|
- Generate a secure `LANGFLOW_SECRET_KEY` for production
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- Set `LANGFLOW_AUTO_LOGIN=false` to require authentication
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|
- Configure superuser credentials
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||||||
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- Add API keys for LLM providers
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||||||
|
|
||||||
|
3. Start Langflow:
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||||||
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|
||||||
|
```bash
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||||||
|
docker compose up -d
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||||||
|
```
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||||||
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||||||
|
4. Wait for services to be ready (usually takes 1-2 minutes)
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|
||||||
|
5. Access Langflow UI at `http://localhost:7860`
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||||||
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|
||||||
|
6. Start building your AI application!
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|
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||||||
|
## Default Configuration
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||||||
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||||||
|
| Service | Port | Description |
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||||||
|
| ---------- | ---- | ------------------- |
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||||||
|
| Langflow | 7860 | Web UI and API |
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||||||
|
| PostgreSQL | 5432 | Database (internal) |
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||||||
|
|
||||||
|
**Default Credentials** (if authentication enabled):
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||||||
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||||||
|
- Username: `langflow`
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||||||
|
- Password: `langflow`
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||||||
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||||||
|
## Environment Variables
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||||||
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||||||
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Key environment variables (see `.env.example` for full list):
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||||||
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||||||
|
| Variable | Description | Default |
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||||||
|
| ----------------------------- | ----------------------------- | ---------- |
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||||||
|
| `LANGFLOW_VERSION` | Langflow image version | `1.1.1` |
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|
| `LANGFLOW_PORT_OVERRIDE` | Host port for UI | `7860` |
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||||||
|
| `POSTGRES_PASSWORD` | Database password | `langflow` |
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| `LANGFLOW_AUTO_LOGIN` | Auto-login (disable for auth) | `true` |
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| `LANGFLOW_SUPERUSER` | Superuser username | `langflow` |
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||||||
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| `LANGFLOW_SUPERUSER_PASSWORD` | Superuser password | `langflow` |
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||||||
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| `LANGFLOW_SECRET_KEY` | Secret key for sessions | (empty) |
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||||||
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| `LANGFLOW_COMPONENTS_PATH` | Custom components directory | (empty) |
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| `LANGFLOW_LOAD_FLOWS_PATH` | Auto-load flows directory | (empty) |
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||||||
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| `TZ` | Timezone | `UTC` |
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||||||
|
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||||||
|
## Resource Requirements
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||||||
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||||||
|
**Minimum**:
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||||||
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||||||
|
- CPU: 1 core
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- RAM: 1GB
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- Disk: 5GB
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||||||
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||||||
|
**Recommended**:
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||||||
|
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||||||
|
- CPU: 2+ cores
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|
- RAM: 2GB+
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||||||
|
- Disk: 20GB+
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||||||
|
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||||||
|
## Volumes
|
||||||
|
|
||||||
|
- `postgres_data`: PostgreSQL database data
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||||||
|
- `langflow_data`: Langflow configuration, flows, and logs
|
||||||
|
|
||||||
|
## Using Langflow
|
||||||
|
|
||||||
|
### Building Your First Flow
|
||||||
|
|
||||||
|
1. Access the UI at `http://localhost:7860`
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||||||
|
2. Click "New Flow" or use a template
|
||||||
|
3. Drag components from the sidebar to the canvas
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||||||
|
4. Connect components by dragging between ports
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|
5. Configure component parameters
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||||||
|
6. Click "Run" to test your flow
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|
7. Use the API or integrate with your application
|
||||||
|
|
||||||
|
### Adding LLM Providers
|
||||||
|
|
||||||
|
To use external LLM providers, configure their API keys:
|
||||||
|
|
||||||
|
1. In Langflow UI, go to Settings > Global Variables
|
||||||
|
2. Add your API keys (e.g., `OPENAI_API_KEY`, `ANTHROPIC_API_KEY`)
|
||||||
|
3. Reference these variables in your flow components
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||||||
|
|
||||||
|
Alternatively, add them to your `.env` file and restart:
|
||||||
|
|
||||||
|
```bash
|
||||||
|
# Example LLM API Keys (add to .env)
|
||||||
|
OPENAI_API_KEY=sk-...
|
||||||
|
ANTHROPIC_API_KEY=sk-ant-...
|
||||||
|
GOOGLE_API_KEY=...
|
||||||
|
```
|
||||||
|
|
||||||
|
### Custom Components
|
||||||
|
|
||||||
|
To add custom components:
|
||||||
|
|
||||||
|
1. Create a directory for your components (e.g., `./custom_components`)
|
||||||
|
2. Update `.env`:
|
||||||
|
|
||||||
|
```bash
|
||||||
|
LANGFLOW_COMPONENTS_PATH=/app/langflow/custom_components
|
||||||
|
```
|
||||||
|
|
||||||
|
3. Mount the directory in `docker-compose.yaml`:
|
||||||
|
|
||||||
|
```yaml
|
||||||
|
volumes:
|
||||||
|
- ./custom_components:/app/langflow/custom_components
|
||||||
|
```
|
||||||
|
|
||||||
|
4. Restart Langflow
|
||||||
|
|
||||||
|
### Auto-Loading Flows
|
||||||
|
|
||||||
|
To automatically load flows on startup:
|
||||||
|
|
||||||
|
1. Export your flows as JSON files
|
||||||
|
2. Create a directory (e.g., `./flows`)
|
||||||
|
3. Update `.env`:
|
||||||
|
|
||||||
|
```bash
|
||||||
|
LANGFLOW_LOAD_FLOWS_PATH=/app/langflow/flows
|
||||||
|
```
|
||||||
|
|
||||||
|
4. Mount the directory in `docker-compose.yaml`:
|
||||||
|
|
||||||
|
```yaml
|
||||||
|
volumes:
|
||||||
|
- ./flows:/app/langflow/flows
|
||||||
|
```
|
||||||
|
|
||||||
|
5. Restart Langflow
|
||||||
|
|
||||||
|
## API Usage
|
||||||
|
|
||||||
|
Langflow provides a REST API for running flows programmatically.
|
||||||
|
|
||||||
|
### Get Flow ID
|
||||||
|
|
||||||
|
1. Open your flow in the UI
|
||||||
|
2. The flow ID is in the URL: `http://localhost:7860/flow/{flow_id}`
|
||||||
|
|
||||||
|
### Run Flow via API
|
||||||
|
|
||||||
|
```bash
|
||||||
|
curl -X POST http://localhost:7860/api/v1/run/{flow_id} \
|
||||||
|
-H "Content-Type: application/json" \
|
||||||
|
-d '{
|
||||||
|
"inputs": {
|
||||||
|
"input_field": "your input value"
|
||||||
|
}
|
||||||
|
}'
|
||||||
|
```
|
||||||
|
|
||||||
|
### With Authentication
|
||||||
|
|
||||||
|
If authentication is enabled, first get a token:
|
||||||
|
|
||||||
|
```bash
|
||||||
|
# Login
|
||||||
|
curl -X POST http://localhost:7860/api/v1/login \
|
||||||
|
-H "Content-Type: application/json" \
|
||||||
|
-d '{
|
||||||
|
"username": "langflow",
|
||||||
|
"password": "langflow"
|
||||||
|
}'
|
||||||
|
|
||||||
|
# Use token in subsequent requests
|
||||||
|
curl -X POST http://localhost:7860/api/v1/run/{flow_id} \
|
||||||
|
-H "Authorization: Bearer {token}" \
|
||||||
|
-H "Content-Type: application/json" \
|
||||||
|
-d '{
|
||||||
|
"inputs": {
|
||||||
|
"input_field": "your input value"
|
||||||
|
}
|
||||||
|
}'
|
||||||
|
```
|
||||||
|
|
||||||
|
## Production Deployment
|
||||||
|
|
||||||
|
For production deployments:
|
||||||
|
|
||||||
|
1. **Enable Authentication**:
|
||||||
|
|
||||||
|
```bash
|
||||||
|
LANGFLOW_AUTO_LOGIN=false
|
||||||
|
LANGFLOW_SUPERUSER=admin
|
||||||
|
LANGFLOW_SUPERUSER_PASSWORD=<strong-password>
|
||||||
|
```
|
||||||
|
|
||||||
|
2. **Set Secret Key**:
|
||||||
|
|
||||||
|
```bash
|
||||||
|
# Generate a secure key
|
||||||
|
python -c "from secrets import token_urlsafe; print(token_urlsafe(32))"
|
||||||
|
|
||||||
|
# Add to .env
|
||||||
|
LANGFLOW_SECRET_KEY=<generated-key>
|
||||||
|
```
|
||||||
|
|
||||||
|
3. **Use Strong Database Password**:
|
||||||
|
|
||||||
|
```bash
|
||||||
|
POSTGRES_PASSWORD=<strong-password>
|
||||||
|
```
|
||||||
|
|
||||||
|
4. **Enable SSL/TLS**: Use a reverse proxy (nginx, traefik) with SSL certificates
|
||||||
|
|
||||||
|
5. **Configure Resource Limits**: Adjust CPU and memory limits based on your workload
|
||||||
|
|
||||||
|
6. **Backup Database**: Regularly backup the PostgreSQL data volume
|
||||||
|
|
||||||
|
## Troubleshooting
|
||||||
|
|
||||||
|
### Langflow Won't Start
|
||||||
|
|
||||||
|
- Check logs: `docker compose logs langflow`
|
||||||
|
- Ensure PostgreSQL is healthy: `docker compose ps postgres`
|
||||||
|
- Verify port 7860 is not in use
|
||||||
|
|
||||||
|
### Components Not Loading
|
||||||
|
|
||||||
|
- Check custom components path is correct
|
||||||
|
- Ensure Python dependencies are installed in custom components
|
||||||
|
- Check logs for component errors
|
||||||
|
|
||||||
|
### Slow Performance
|
||||||
|
|
||||||
|
- Increase resource limits in `.env`
|
||||||
|
- Reduce `LANGFLOW_WORKERS` if low on memory
|
||||||
|
- Optimize your flows (reduce unnecessary components)
|
||||||
|
|
||||||
|
### Database Connection Errors
|
||||||
|
|
||||||
|
- Verify PostgreSQL is running: `docker compose ps postgres`
|
||||||
|
- Check database credentials in `.env`
|
||||||
|
- Ensure `LANGFLOW_DATABASE_URL` is correct
|
||||||
|
|
||||||
|
## Maintenance
|
||||||
|
|
||||||
|
### Backup
|
||||||
|
|
||||||
|
Backup volumes:
|
||||||
|
|
||||||
|
```bash
|
||||||
|
docker compose down
|
||||||
|
docker run --rm -v compose-anything_postgres_data:/data -v $(pwd):/backup alpine tar czf /backup/postgres-backup.tar.gz -C /data .
|
||||||
|
docker run --rm -v compose-anything_langflow_data:/data -v $(pwd):/backup alpine tar czf /backup/langflow-backup.tar.gz -C /data .
|
||||||
|
docker compose up -d
|
||||||
|
```
|
||||||
|
|
||||||
|
### Restore
|
||||||
|
|
||||||
|
Restore from backup:
|
||||||
|
|
||||||
|
```bash
|
||||||
|
docker compose down
|
||||||
|
docker run --rm -v compose-anything_postgres_data:/data -v $(pwd):/backup alpine sh -c "cd /data && tar xzf /backup/postgres-backup.tar.gz"
|
||||||
|
docker run --rm -v compose-anything_langflow_data:/data -v $(pwd):/backup alpine sh -c "cd /data && tar xzf /backup/langflow-backup.tar.gz"
|
||||||
|
docker compose up -d
|
||||||
|
```
|
||||||
|
|
||||||
|
### Upgrade
|
||||||
|
|
||||||
|
To upgrade Langflow:
|
||||||
|
|
||||||
|
1. Update version in `.env`:
|
||||||
|
|
||||||
|
```bash
|
||||||
|
LANGFLOW_VERSION=1.2.0
|
||||||
|
```
|
||||||
|
|
||||||
|
2. Pull new image and restart:
|
||||||
|
|
||||||
|
```bash
|
||||||
|
docker compose pull
|
||||||
|
docker compose up -d
|
||||||
|
```
|
||||||
|
|
||||||
|
3. Check for breaking changes in release notes
|
||||||
|
|
||||||
|
## Useful Commands
|
||||||
|
|
||||||
|
```bash
|
||||||
|
# View logs
|
||||||
|
docker compose logs -f langflow
|
||||||
|
|
||||||
|
# Restart Langflow
|
||||||
|
docker compose restart langflow
|
||||||
|
|
||||||
|
# Access PostgreSQL
|
||||||
|
docker compose exec postgres psql -U langflow -d langflow
|
||||||
|
|
||||||
|
# Check resource usage
|
||||||
|
docker stats
|
||||||
|
|
||||||
|
# Clean up
|
||||||
|
docker compose down -v # WARNING: Deletes all data
|
||||||
|
```
|
||||||
|
|
||||||
|
## References
|
||||||
|
|
||||||
|
- [Official Documentation](https://docs.langflow.org/)
|
||||||
|
- [GitHub Repository](https://github.com/langflow-ai/langflow)
|
||||||
|
- [Component Documentation](https://docs.langflow.org/components/)
|
||||||
|
- [API Documentation](https://docs.langflow.org/api/)
|
||||||
|
- [Community Discord](https://discord.gg/langflow)
|
||||||
|
|
||||||
|
## License
|
||||||
|
|
||||||
|
MIT - See [LICENSE](https://github.com/langflow-ai/langflow/blob/main/LICENSE)
|
||||||
336
apps/langflow/README.zh.md
Normal file
336
apps/langflow/README.zh.md
Normal file
@@ -0,0 +1,336 @@
|
|||||||
|
# Langflow
|
||||||
|
|
||||||
|
Langflow 是一个低代码可视化框架，用于构建 AI 应用。它基于 Python，与任何模型、API 或数据库无关，可轻松构建 RAG 应用、多智能体系统和自定义 AI 工作流。
|
||||||
|
|
||||||
|
## 功能特点
|
||||||
|
|
||||||
|
- **可视化流构建器**：拖放界面构建 AI 应用
|
||||||
|
- **多模型支持**：支持 OpenAI、Anthropic、Google、HuggingFace 等
|
||||||
|
- **RAG 组件**：内置向量数据库和检索支持
|
||||||
|
- **自定义组件**：创建您自己的 Python 组件
|
||||||
|
- **智能体支持**：构建具有记忆和工具的多智能体系统
|
||||||
|
- **实时监控**：跟踪执行并调试流程
|
||||||
|
- **API 集成**：用于编程访问的 REST API
|
||||||
|
|
||||||
|
## 快速开始
|
||||||
|
|
||||||
|
1. 复制 `.env.example` 到 `.env`：
|
||||||
|
|
||||||
|
```bash
|
||||||
|
copy .env.example .env
|
||||||
|
```
|
||||||
|
|
||||||
|
2. （可选）编辑 `.env` 自定义设置：
|
||||||
|
- 为生产环境生成安全的 `LANGFLOW_SECRET_KEY`
|
||||||
|
- 设置 `LANGFLOW_AUTO_LOGIN=false` 以要求身份验证
|
||||||
|
- 配置超级用户凭证
|
||||||
|
- 为 LLM 提供商添加 API 密钥
|
||||||
|
|
||||||
|
3. 启动 Langflow：
|
||||||
|
|
||||||
|
```bash
|
||||||
|
docker compose up -d
|
||||||
|
```
|
||||||
|
|
||||||
|
4. 等待服务就绪（通常需要 1-2 分钟）
|
||||||
|
|
||||||
|
5. 访问 Langflow UI：`http://localhost:7860`
|
||||||
|
|
||||||
|
6. 开始构建您的 AI 应用！
|
||||||
|
|
||||||
|
## 默认配置
|
||||||
|
|
||||||
|
| 服务 | 端口 | 说明 |
|
||||||
|
| ---------- | ---- | -------------- |
|
||||||
|
| Langflow | 7860 | Web UI 和 API |
|
||||||
|
| PostgreSQL | 5432 | 数据库（内部） |
|
||||||
|
|
||||||
|
**默认凭证**（如果启用了身份验证）：
|
||||||
|
|
||||||
|
- 用户名：`langflow`
|
||||||
|
- 密码：`langflow`
|
||||||
|
|
||||||
|
## 环境变量
|
||||||
|
|
||||||
|
主要环境变量（完整列表请参阅 `.env.example`）：
|
||||||
|
|
||||||
|
| 变量 | 说明 | 默认值 |
|
||||||
|
| ----------------------------- | ------------------------------ | ---------- |
|
||||||
|
| `LANGFLOW_VERSION` | Langflow 镜像版本 | `1.1.1` |
|
||||||
|
| `LANGFLOW_PORT_OVERRIDE` | UI 的主机端口 | `7860` |
|
||||||
|
| `POSTGRES_PASSWORD` | 数据库密码 | `langflow` |
|
||||||
|
| `LANGFLOW_AUTO_LOGIN` | 自动登录（禁用以启用身份验证） | `true` |
|
||||||
|
| `LANGFLOW_SUPERUSER` | 超级用户用户名 | `langflow` |
|
||||||
|
| `LANGFLOW_SUPERUSER_PASSWORD` | 超级用户密码 | `langflow` |
|
||||||
|
| `LANGFLOW_SECRET_KEY` | 会话密钥 | （空） |
|
||||||
|
| `LANGFLOW_COMPONENTS_PATH` | 自定义组件目录 | （空） |
|
||||||
|
| `LANGFLOW_LOAD_FLOWS_PATH` | 自动加载流目录 | （空） |
|
||||||
|
| `TZ` | 时区 | `UTC` |
|
||||||
|
|
||||||
|
## 资源需求
|
||||||
|
|
||||||
|
**最低要求**：
|
||||||
|
|
||||||
|
- CPU：1 核心
|
||||||
|
- 内存：1GB
|
||||||
|
- 磁盘：5GB
|
||||||
|
|
||||||
|
**推荐配置**：
|
||||||
|
|
||||||
|
- CPU：2+ 核心
|
||||||
|
- 内存：2GB+
|
||||||
|
- 磁盘：20GB+
|
||||||
|
|
||||||
|
## 数据卷
|
||||||
|
|
||||||
|
- `postgres_data`：PostgreSQL 数据库数据
|
||||||
|
- `langflow_data`：Langflow 配置、流和日志
|
||||||
|
|
||||||
|
## 使用 Langflow
|
||||||
|
|
||||||
|
### 构建您的第一个流
|
||||||
|
|
||||||
|
1. 访问 UI：`http://localhost:7860`
|
||||||
|
2. 点击 "New Flow" 或使用模板
|
||||||
|
3. 从侧边栏拖动组件到画布
|
||||||
|
4. 通过在端口之间拖动来连接组件
|
||||||
|
5. 配置组件参数
|
||||||
|
6. 点击 "Run" 测试您的流
|
||||||
|
7. 使用 API 或与您的应用集成
|
||||||
|
|
||||||
|
### 添加 LLM 提供商
|
||||||
|
|
||||||
|
要使用外部 LLM 提供商，请配置其 API 密钥：
|
||||||
|
|
||||||
|
1. 在 Langflow UI 中，转到 Settings > Global Variables
|
||||||
|
2. 添加您的 API 密钥（例如，`OPENAI_API_KEY`、`ANTHROPIC_API_KEY`）
|
||||||
|
3. 在您的流组件中引用这些变量
|
||||||
|
|
||||||
|
或者，将它们添加到您的 `.env` 文件并重启：
|
||||||
|
|
||||||
|
```bash
|
||||||
|
# LLM API 密钥示例（添加到 .env）
|
||||||
|
OPENAI_API_KEY=sk-...
|
||||||
|
ANTHROPIC_API_KEY=sk-ant-...
|
||||||
|
GOOGLE_API_KEY=...
|
||||||
|
```
|
||||||
|
|
||||||
|
### 自定义组件
|
||||||
|
|
||||||
|
要添加自定义组件：
|
||||||
|
|
||||||
|
1. 为您的组件创建一个目录（例如，`./custom_components`）
|
||||||
|
2. 更新 `.env`：
|
||||||
|
|
||||||
|
```bash
|
||||||
|
LANGFLOW_COMPONENTS_PATH=/app/langflow/custom_components
|
||||||
|
```
|
||||||
|
|
||||||
|
3. 在 `docker-compose.yaml` 中挂载目录：
|
||||||
|
|
||||||
|
```yaml
|
||||||
|
volumes:
|
||||||
|
- ./custom_components:/app/langflow/custom_components
|
||||||
|
```
|
||||||
|
|
||||||
|
4. 重启 Langflow
|
||||||
|
|
||||||
|
### 自动加载流
|
||||||
|
|
||||||
|
要在启动时自动加载流：
|
||||||
|
|
||||||
|
1. 将您的流导出为 JSON 文件
|
||||||
|
2. 创建一个目录（例如，`./flows`）
|
||||||
|
3. 更新 `.env`：
|
||||||
|
|
||||||
|
```bash
|
||||||
|
LANGFLOW_LOAD_FLOWS_PATH=/app/langflow/flows
|
||||||
|
```
|
||||||
|
|
||||||
|
4. 在 `docker-compose.yaml` 中挂载目录：
|
||||||
|
|
||||||
|
```yaml
|
||||||
|
volumes:
|
||||||
|
- ./flows:/app/langflow/flows
|
||||||
|
```
|
||||||
|
|
||||||
|
5. 重启 Langflow
|
||||||
|
|
||||||
|
## API 使用
|
||||||
|
|
||||||
|
Langflow 提供 REST API 用于以编程方式运行流。
|
||||||
|
|
||||||
|
### 获取流 ID
|
||||||
|
|
||||||
|
1. 在 UI 中打开您的流
|
||||||
|
2. 流 ID 在 URL 中：`http://localhost:7860/flow/{flow_id}`
|
||||||
|
|
||||||
|
### 通过 API 运行流
|
||||||
|
|
||||||
|
```bash
|
||||||
|
curl -X POST http://localhost:7860/api/v1/run/{flow_id} \
|
||||||
|
-H "Content-Type: application/json" \
|
||||||
|
-d '{
|
||||||
|
"inputs": {
|
||||||
|
"input_field": "your input value"
|
||||||
|
}
|
||||||
|
}'
|
||||||
|
```
|
||||||
|
|
||||||
|
### 使用身份验证
|
||||||
|
|
||||||
|
如果启用了身份验证，首先获取令牌：
|
||||||
|
|
||||||
|
```bash
|
||||||
|
# 登录
|
||||||
|
curl -X POST http://localhost:7860/api/v1/login \
|
||||||
|
-H "Content-Type: application/json" \
|
||||||
|
-d '{
|
||||||
|
"username": "langflow",
|
||||||
|
"password": "langflow"
|
||||||
|
}'
|
||||||
|
|
||||||
|
# 在后续请求中使用令牌
|
||||||
|
curl -X POST http://localhost:7860/api/v1/run/{flow_id} \
|
||||||
|
-H "Authorization: Bearer {token}" \
|
||||||
|
-H "Content-Type: application/json" \
|
||||||
|
-d '{
|
||||||
|
"inputs": {
|
||||||
|
"input_field": "your input value"
|
||||||
|
}
|
||||||
|
}'
|
||||||
|
```
|
||||||
|
|
||||||
|
## 生产部署
|
||||||
|
|
||||||
|
对于生产部署：
|
||||||
|
|
||||||
|
1. **启用身份验证**：
|
||||||
|
|
||||||
|
```bash
|
||||||
|
LANGFLOW_AUTO_LOGIN=false
|
||||||
|
LANGFLOW_SUPERUSER=admin
|
||||||
|
LANGFLOW_SUPERUSER_PASSWORD=<强密码>
|
||||||
|
```
|
||||||
|
|
||||||
|
2. **设置密钥**：
|
||||||
|
|
||||||
|
```bash
|
||||||
|
# 生成安全密钥
|
||||||
|
python -c "from secrets import token_urlsafe; print(token_urlsafe(32))"
|
||||||
|
|
||||||
|
# 添加到 .env
|
||||||
|
LANGFLOW_SECRET_KEY=<生成的密钥>
|
||||||
|
```
|
||||||
|
|
||||||
|
3. **使用强数据库密码**：
|
||||||
|
|
||||||
|
```bash
|
||||||
|
POSTGRES_PASSWORD=<强密码>
|
||||||
|
```
|
||||||
|
|
||||||
|
4. **启用 SSL/TLS**：使用带有 SSL 证书的反向代理（nginx、traefik）
|
||||||
|
|
||||||
|
5. **配置资源限制**：根据您的工作负载调整 CPU 和内存限制
|
||||||
|
|
||||||
|
6. **备份数据库**：定期备份 PostgreSQL 数据卷
|
||||||
|
|
||||||
|
## 故障排除
|
||||||
|
|
||||||
|
### Langflow 无法启动
|
||||||
|
|
||||||
|
- 查看日志：`docker compose logs langflow`
|
||||||
|
- 确保 PostgreSQL 健康：`docker compose ps postgres`
|
||||||
|
- 验证端口 7860 未被使用
|
||||||
|
|
||||||
|
### 组件未加载
|
||||||
|
|
||||||
|
- 检查自定义组件路径是否正确
|
||||||
|
- 确保在自定义组件中安装了 Python 依赖项
|
||||||
|
- 检查日志中的组件错误
|
||||||
|
|
||||||
|
### 性能缓慢
|
||||||
|
|
||||||
|
- 在 `.env` 中增加资源限制
|
||||||
|
- 如果内存不足，减少 `LANGFLOW_WORKERS`
|
||||||
|
- 优化您的流（减少不必要的组件）
|
||||||
|
|
||||||
|
### 数据库连接错误
|
||||||
|
|
||||||
|
- 验证 PostgreSQL 正在运行：`docker compose ps postgres`
|
||||||
|
- 检查 `.env` 中的数据库凭证
|
||||||
|
- 确保 `LANGFLOW_DATABASE_URL` 正确
|
||||||
|
|
||||||
|
## 维护
|
||||||
|
|
||||||
|
### 备份
|
||||||
|
|
||||||
|
备份数据卷：
|
||||||
|
|
||||||
|
```bash
|
||||||
|
docker compose down
|
||||||
|
docker run --rm -v compose-anything_postgres_data:/data -v $(pwd):/backup alpine tar czf /backup/postgres-backup.tar.gz -C /data .
|
||||||
|
docker run --rm -v compose-anything_langflow_data:/data -v $(pwd):/backup alpine tar czf /backup/langflow-backup.tar.gz -C /data .
|
||||||
|
docker compose up -d
|
||||||
|
```
|
||||||
|
|
||||||
|
### 恢复
|
||||||
|
|
||||||
|
从备份恢复：
|
||||||
|
|
||||||
|
```bash
|
||||||
|
docker compose down
|
||||||
|
docker run --rm -v compose-anything_postgres_data:/data -v $(pwd):/backup alpine sh -c "cd /data && tar xzf /backup/postgres-backup.tar.gz"
|
||||||
|
docker run --rm -v compose-anything_langflow_data:/data -v $(pwd):/backup alpine sh -c "cd /data && tar xzf /backup/langflow-backup.tar.gz"
|
||||||
|
docker compose up -d
|
||||||
|
```
|
||||||
|
|
||||||
|
### 升级
|
||||||
|
|
||||||
|
升级 Langflow：
|
||||||
|
|
||||||
|
1. 在 `.env` 中更新版本：
|
||||||
|
|
||||||
|
```bash
|
||||||
|
LANGFLOW_VERSION=1.2.0
|
||||||
|
```
|
||||||
|
|
||||||
|
2. 拉取新镜像并重启：
|
||||||
|
|
||||||
|
```bash
|
||||||
|
docker compose pull
|
||||||
|
docker compose up -d
|
||||||
|
```
|
||||||
|
|
||||||
|
3. 检查发布说明中的重大更改
|
||||||
|
|
||||||
|
## 常用命令
|
||||||
|
|
||||||
|
```bash
|
||||||
|
# 查看日志
|
||||||
|
docker compose logs -f langflow
|
||||||
|
|
||||||
|
# 重启 Langflow
|
||||||
|
docker compose restart langflow
|
||||||
|
|
||||||
|
# 访问 PostgreSQL
|
||||||
|
docker compose exec postgres psql -U langflow -d langflow
|
||||||
|
|
||||||
|
# 检查资源使用
|
||||||
|
docker stats
|
||||||
|
|
||||||
|
# 清理
|
||||||
|
docker compose down -v # 警告：删除所有数据
|
||||||
|
```
|
||||||
|
|
||||||
|
## 参考资料
|
||||||
|
|
||||||
|
- [官方文档](https://docs.langflow.org/)
|
||||||
|
- [GitHub 仓库](https://github.com/langflow-ai/langflow)
|
||||||
|
- [组件文档](https://docs.langflow.org/components/)
|
||||||
|
- [API 文档](https://docs.langflow.org/api/)
|
||||||
|
- [社区 Discord](https://discord.gg/langflow)
|
||||||
|
|
||||||
|
## 许可证
|
||||||
|
|
||||||
|
MIT - 查看 [LICENSE](https://github.com/langflow-ai/langflow/blob/main/LICENSE)
|
||||||
@@ -12,7 +12,7 @@
|
|||||||
# - Real-time monitoring and logging
|
# - Real-time monitoring and logging
|
||||||
# - Multi-user support with authentication
|
# - Multi-user support with authentication
|
||||||
#
|
#
|
||||||
# Default Credentials:
|
# Default Access:
|
||||||
# - Access UI at http://localhost:7860
|
# - Access UI at http://localhost:7860
|
||||||
# - No authentication by default (set LANGFLOW_AUTO_LOGIN=false to enable)
|
# - No authentication by default (set LANGFLOW_AUTO_LOGIN=false to enable)
|
||||||
#
|
#
|
||||||
@@ -30,15 +30,13 @@ x-defaults: &defaults
|
|||||||
logging:
|
logging:
|
||||||
driver: json-file
|
driver: json-file
|
||||||
options:
|
options:
|
||||||
max-size: 100m
|
max-size: ${LOG_MAX_SIZE:-100m}
|
||||||
max-file: "3"
|
max-file: "${LOG_MAX_FILE:-3}"
|
||||||
|
|
||||||
services:
|
services:
|
||||||
langflow:
|
langflow:
|
||||||
<<: *defaults
|
<<: *defaults
|
||||||
image: ${GLOBAL_REGISTRY:-}langflowai/langflow:${LANGFLOW_VERSION:-latest}
|
image: ${GLOBAL_REGISTRY:-}langflowai/langflow:${LANGFLOW_VERSION:-1.1.1}
|
||||||
pull_policy: always
|
|
||||||
container_name: langflow
|
|
||||||
ports:
|
ports:
|
||||||
- "${LANGFLOW_PORT_OVERRIDE:-7860}:7860"
|
- "${LANGFLOW_PORT_OVERRIDE:-7860}:7860"
|
||||||
environment:
|
environment:
|
||||||
@@ -101,7 +99,6 @@ services:
|
|||||||
postgres:
|
postgres:
|
||||||
<<: *defaults
|
<<: *defaults
|
||||||
image: ${GLOBAL_REGISTRY:-}postgres:${POSTGRES_VERSION:-16-alpine}
|
image: ${GLOBAL_REGISTRY:-}postgres:${POSTGRES_VERSION:-16-alpine}
|
||||||
container_name: langflow-postgres
|
|
||||||
environment:
|
environment:
|
||||||
- POSTGRES_DB=${POSTGRES_DB:-langflow}
|
- POSTGRES_DB=${POSTGRES_DB:-langflow}
|
||||||
- POSTGRES_USER=${POSTGRES_USER:-langflow}
|
- POSTGRES_USER=${POSTGRES_USER:-langflow}
|
||||||
@@ -115,6 +112,7 @@ services:
|
|||||||
interval: 10s
|
interval: 10s
|
||||||
timeout: 5s
|
timeout: 5s
|
||||||
retries: 5
|
retries: 5
|
||||||
|
start_period: 10s
|
||||||
deploy:
|
deploy:
|
||||||
resources:
|
resources:
|
||||||
limits:
|
limits:
|
||||||
@@ -224,10 +224,6 @@ services:
|
|||||||
|
|
||||||
volumes:
|
volumes:
|
||||||
langfuse_postgres_data:
|
langfuse_postgres_data:
|
||||||
driver: local
|
|
||||||
langfuse_clickhouse_data:
|
langfuse_clickhouse_data:
|
||||||
driver: local
|
|
||||||
langfuse_clickhouse_logs:
|
langfuse_clickhouse_logs:
|
||||||
driver: local
|
|
||||||
langfuse_minio_data:
|
langfuse_minio_data:
|
||||||
driver: local
|
|
||||||
105
apps/sim/.env.example
Normal file
105
apps/sim/.env.example
Normal file
@@ -0,0 +1,105 @@
|
|||||||
|
# =============================================================================
|
||||||
|
# Sim - AI Agent Workflow Builder Configuration
|
||||||
|
# =============================================================================
|
||||||
|
# Documentation: https://docs.sim.ai
|
||||||
|
# GitHub: https://github.com/simstudioai/sim
|
||||||
|
|
||||||
|
# -----------------------------------------------------------------------------
|
||||||
|
# Time Zone Configuration
|
||||||
|
# -----------------------------------------------------------------------------
|
||||||
|
TZ=UTC
|
||||||
|
|
||||||
|
# -----------------------------------------------------------------------------
|
||||||
|
# Image Versions
|
||||||
|
# -----------------------------------------------------------------------------
|
||||||
|
SIM_VERSION=latest
|
||||||
|
SIM_REALTIME_VERSION=latest
|
||||||
|
SIM_MIGRATIONS_VERSION=latest
|
||||||
|
PGVECTOR_VERSION=pg17
|
||||||
|
|
||||||
|
# -----------------------------------------------------------------------------
|
||||||
|
# Global Registry (optional, e.g., mirror.example.com/)
|
||||||
|
# -----------------------------------------------------------------------------
|
||||||
|
# GLOBAL_REGISTRY=
|
||||||
|
|
||||||
|
# -----------------------------------------------------------------------------
|
||||||
|
# Port Overrides
|
||||||
|
# -----------------------------------------------------------------------------
|
||||||
|
SIM_PORT_OVERRIDE=3000
|
||||||
|
SIM_REALTIME_PORT_OVERRIDE=3002
|
||||||
|
POSTGRES_PORT_OVERRIDE=5432
|
||||||
|
|
||||||
|
# -----------------------------------------------------------------------------
|
||||||
|
# Application Configuration
|
||||||
|
# -----------------------------------------------------------------------------
|
||||||
|
NODE_ENV=production
|
||||||
|
NEXT_PUBLIC_APP_URL=http://localhost:3000
|
||||||
|
BETTER_AUTH_URL=http://localhost:3000
|
||||||
|
SOCKET_SERVER_URL=http://localhost:3002
|
||||||
|
NEXT_PUBLIC_SOCKET_URL=http://localhost:3002
|
||||||
|
|
||||||
|
# -----------------------------------------------------------------------------
|
||||||
|
# Security Secrets (REQUIRED: Generate secure values in production)
|
||||||
|
# -----------------------------------------------------------------------------
|
||||||
|
# Generate with: openssl rand -hex 32
|
||||||
|
BETTER_AUTH_SECRET=your_auth_secret_here
|
||||||
|
ENCRYPTION_KEY=your_encryption_key_here
|
||||||
|
|
||||||
|
# -----------------------------------------------------------------------------
|
||||||
|
# API Keys (Optional)
|
||||||
|
# -----------------------------------------------------------------------------
|
||||||
|
# COPILOT_API_KEY=
|
||||||
|
# SIM_AGENT_API_URL=
|
||||||
|
|
||||||
|
# -----------------------------------------------------------------------------
|
||||||
|
# Ollama Configuration
|
||||||
|
# -----------------------------------------------------------------------------
|
||||||
|
# For external Ollama on host machine:
|
||||||
|
# - macOS/Windows: http://host.docker.internal:11434
|
||||||
|
# - Linux: http://YOUR_HOST_IP:11434 (e.g., http://192.168.1.100:11434)
|
||||||
|
OLLAMA_URL=http://localhost:11434
|
||||||
|
|
||||||
|
# -----------------------------------------------------------------------------
|
||||||
|
# PostgreSQL Configuration
|
||||||
|
# -----------------------------------------------------------------------------
|
||||||
|
POSTGRES_USER=postgres
|
||||||
|
POSTGRES_PASSWORD=postgres
|
||||||
|
POSTGRES_DB=simstudio
|
||||||
|
|
||||||
|
# -----------------------------------------------------------------------------
|
||||||
|
# Resource Limits - Main Application
|
||||||
|
# -----------------------------------------------------------------------------
|
||||||
|
SIM_CPU_LIMIT=4.0
|
||||||
|
SIM_CPU_RESERVATION=2.0
|
||||||
|
SIM_MEMORY_LIMIT=8G
|
||||||
|
SIM_MEMORY_RESERVATION=4G
|
||||||
|
|
||||||
|
# -----------------------------------------------------------------------------
|
||||||
|
# Resource Limits - Realtime Server
|
||||||
|
# -----------------------------------------------------------------------------
|
||||||
|
SIM_REALTIME_CPU_LIMIT=2.0
|
||||||
|
SIM_REALTIME_CPU_RESERVATION=1.0
|
||||||
|
SIM_REALTIME_MEMORY_LIMIT=4G
|
||||||
|
SIM_REALTIME_MEMORY_RESERVATION=2G
|
||||||
|
|
||||||
|
# -----------------------------------------------------------------------------
|
||||||
|
# Resource Limits - Database Migrations
|
||||||
|
# -----------------------------------------------------------------------------
|
||||||
|
SIM_MIGRATIONS_CPU_LIMIT=1.0
|
||||||
|
SIM_MIGRATIONS_CPU_RESERVATION=0.5
|
||||||
|
SIM_MIGRATIONS_MEMORY_LIMIT=512M
|
||||||
|
SIM_MIGRATIONS_MEMORY_RESERVATION=256M
|
||||||
|
|
||||||
|
# -----------------------------------------------------------------------------
|
||||||
|
# Resource Limits - PostgreSQL
|
||||||
|
# -----------------------------------------------------------------------------
|
||||||
|
POSTGRES_CPU_LIMIT=2.0
|
||||||
|
POSTGRES_CPU_RESERVATION=1.0
|
||||||
|
POSTGRES_MEMORY_LIMIT=2G
|
||||||
|
POSTGRES_MEMORY_RESERVATION=1G
|
||||||
|
|
||||||
|
# -----------------------------------------------------------------------------
|
||||||
|
# Logging Configuration
|
||||||
|
# -----------------------------------------------------------------------------
|
||||||
|
LOG_MAX_SIZE=100m
|
||||||
|
LOG_MAX_FILE=3
|
||||||
224
apps/sim/README.md
Normal file
224
apps/sim/README.md
Normal file
@@ -0,0 +1,224 @@
|
|||||||
|
# Sim - AI Agent Workflow Builder
|
||||||
|
|
||||||
|
Open-source platform to build and deploy AI agent workflows. Developers at trail-blazing startups to Fortune 500 companies deploy agentic workflows on the Sim platform.
|
||||||
|
|
||||||
|
## Features
|
||||||
|
|
||||||
|
- **Visual Workflow Builder**: Multi-step AI agents and tools with drag-and-drop interface
|
||||||
|
- **LLM Orchestration**: Coordinate LLM calls, tools, webhooks, and external APIs
|
||||||
|
- **Scheduled Execution**: Event-driven and scheduled agent executions
|
||||||
|
- **RAG Support**: First-class support for retrieval-augmented generation
|
||||||
|
- **Multi-tenant**: Workspace-based access model for teams
|
||||||
|
- **100+ Integrations**: Connect with popular services and APIs
|
||||||
|
|
||||||
|
## Requirements
|
||||||
|
|
||||||
|
| Resource | Minimum | Recommended |
|
||||||
|
| -------- | --------- | ----------- |
|
||||||
|
| CPU | 2 cores | 4+ cores |
|
||||||
|
| RAM | 12 GB | 16+ GB |
|
||||||
|
| Storage | 20 GB SSD | 50+ GB SSD |
|
||||||
|
| Docker | 20.10+ | Latest |
|
||||||
|
|
||||||
|
## Quick Start
|
||||||
|
|
||||||
|
```bash
|
||||||
|
# Copy environment file
|
||||||
|
cp .env.example .env
|
||||||
|
|
||||||
|
# IMPORTANT: Generate secure secrets in production
|
||||||
|
sed -i "s/your_auth_secret_here/$(openssl rand -hex 32)/" .env
|
||||||
|
sed -i "s/your_encryption_key_here/$(openssl rand -hex 32)/" .env
|
||||||
|
|
||||||
|
# Start services
|
||||||
|
docker compose up -d
|
||||||
|
|
||||||
|
# View logs
|
||||||
|
docker compose logs -f simstudio
|
||||||
|
```
|
||||||
|
|
||||||
|
Access the application at [http://localhost:3000](http://localhost:3000)
|
||||||
|
|
||||||
|
## Configuration
|
||||||
|
|
||||||
|
### Required Environment Variables
|
||||||
|
|
||||||
|
Before deployment, update these critical settings in `.env`:
|
||||||
|
|
||||||
|
```bash
|
||||||
|
# Security (REQUIRED - generate with: openssl rand -hex 32)
|
||||||
|
BETTER_AUTH_SECRET=<your-secret-here>
|
||||||
|
ENCRYPTION_KEY=<your-secret-here>
|
||||||
|
|
||||||
|
# Application URLs (update for production)
|
||||||
|
NEXT_PUBLIC_APP_URL=https://sim.yourdomain.com
|
||||||
|
BETTER_AUTH_URL=https://sim.yourdomain.com
|
||||||
|
NEXT_PUBLIC_SOCKET_URL=https://sim.yourdomain.com
|
||||||
|
|
||||||
|
# Database credentials (change defaults in production)
|
||||||
|
POSTGRES_USER=postgres
|
||||||
|
POSTGRES_PASSWORD=<strong-password>
|
||||||
|
POSTGRES_DB=simstudio
|
||||||
|
```
|
||||||
|
|
||||||
|
### Using with Ollama
|
||||||
|
|
||||||
|
Sim can work with local AI models using [Ollama](https://ollama.ai):
|
||||||
|
|
||||||
|
**External Ollama (running on host machine)**:
|
||||||
|
|
||||||
|
```bash
|
||||||
|
# macOS/Windows
|
||||||
|
OLLAMA_URL=http://host.docker.internal:11434
|
||||||
|
|
||||||
|
# Linux - use your actual host IP
|
||||||
|
OLLAMA_URL=http://192.168.1.100:11434
|
||||||
|
```
|
||||||
|
|
||||||
|
> **Note**: Inside Docker, `localhost` refers to the container. Use `host.docker.internal` (macOS/Windows) or your host's IP address (Linux).
|
||||||
|
|
||||||
|
### Port Configuration
|
||||||
|
|
||||||
|
Default ports can be overridden via environment variables:
|
||||||
|
|
||||||
|
```bash
|
||||||
|
SIM_PORT_OVERRIDE=3000 # Main application
|
||||||
|
SIM_REALTIME_PORT_OVERRIDE=3002 # Realtime server
|
||||||
|
POSTGRES_PORT_OVERRIDE=5432 # PostgreSQL database
|
||||||
|
```
|
||||||
|
|
||||||
|
### Resource Limits
|
||||||
|
|
||||||
|
Adjust resource allocation based on your workload:
|
||||||
|
|
||||||
|
```bash
|
||||||
|
# Main application
|
||||||
|
SIM_CPU_LIMIT=4.0
|
||||||
|
SIM_MEMORY_LIMIT=8G
|
||||||
|
|
||||||
|
# Realtime server
|
||||||
|
SIM_REALTIME_CPU_LIMIT=2.0
|
||||||
|
SIM_REALTIME_MEMORY_LIMIT=4G
|
||||||
|
|
||||||
|
# PostgreSQL
|
||||||
|
POSTGRES_CPU_LIMIT=2.0
|
||||||
|
POSTGRES_MEMORY_LIMIT=2G
|
||||||
|
```
|
||||||
|
|
||||||
|
## Service Architecture
|
||||||
|
|
||||||
|
The deployment consists of 4 services:
|
||||||
|
|
||||||
|
1. **simstudio**: Main Next.js application (port 3000)
|
||||||
|
2. **realtime**: WebSocket server for real-time features (port 3002)
|
||||||
|
3. **migrations**: Database schema management (runs once)
|
||||||
|
4. **db**: PostgreSQL 17 with pgvector extension (port 5432)
|
||||||
|
|
||||||
|
## Common Operations
|
||||||
|
|
||||||
|
### View Logs
|
||||||
|
|
||||||
|
```bash
|
||||||
|
# All services
|
||||||
|
docker compose logs -f
|
||||||
|
|
||||||
|
# Specific service
|
||||||
|
docker compose logs -f simstudio
|
||||||
|
```
|
||||||
|
|
||||||
|
### Stop Services
|
||||||
|
|
||||||
|
```bash
|
||||||
|
docker compose down
|
||||||
|
```
|
||||||
|
|
||||||
|
### Update to Latest Version
|
||||||
|
|
||||||
|
```bash
|
||||||
|
docker compose pull
|
||||||
|
docker compose up -d
|
||||||
|
```
|
||||||
|
|
||||||
|
### Backup Database
|
||||||
|
|
||||||
|
```bash
|
||||||
|
docker compose exec db pg_dump -U postgres simstudio > backup_$(date +%Y%m%d).sql
|
||||||
|
```
|
||||||
|
|
||||||
|
### Restore Database
|
||||||
|
|
||||||
|
```bash
|
||||||
|
cat backup.sql | docker compose exec -T db psql -U postgres simstudio
|
||||||
|
```
|
||||||
|
|
||||||
|
## Security Considerations
|
||||||
|
|
||||||
|
- **Change default credentials**: Update `POSTGRES_PASSWORD` in production
|
||||||
|
- **Generate strong secrets**: Use `openssl rand -hex 32` for all secret values
|
||||||
|
- **Use HTTPS**: Configure reverse proxy (Nginx/Caddy) with SSL certificates
|
||||||
|
- **Network isolation**: Keep database on internal network
|
||||||
|
- **Regular backups**: Automate database backups
|
||||||
|
- **Update regularly**: Pull latest images to get security patches
|
||||||
|
|
||||||
|
## Production Deployment
|
||||||
|
|
||||||
|
For production deployments:
|
||||||
|
|
||||||
|
1. **Use reverse proxy** (Nginx, Caddy, Traefik) for SSL/TLS termination
|
||||||
|
2. **Configure firewall** to restrict database access
|
||||||
|
3. **Set up monitoring** (health checks, metrics, logs)
|
||||||
|
4. **Enable backups** (automated PostgreSQL backups)
|
||||||
|
5. **Use external database** for better performance and reliability (optional)
|
||||||
|
|
||||||
|
Example Caddy configuration:
|
||||||
|
|
||||||
|
```caddy
|
||||||
|
sim.yourdomain.com {
|
||||||
|
reverse_proxy localhost:3000
|
||||||
|
|
||||||
|
handle /socket.io/* {
|
||||||
|
reverse_proxy localhost:3002
|
||||||
|
}
|
||||||
|
}
|
||||||
|
```
|
||||||
|
|
||||||
|
## Troubleshooting
|
||||||
|
|
||||||
|
### Models not showing in dropdown
|
||||||
|
|
||||||
|
If using external Ollama on host machine, ensure `OLLAMA_URL` uses `host.docker.internal` or your host's IP address, not `localhost`.
|
||||||
|
|
||||||
|
### Database connection errors
|
||||||
|
|
||||||
|
- Verify PostgreSQL is healthy: `docker compose ps`
|
||||||
|
- Check database logs: `docker compose logs db`
|
||||||
|
- Ensure migrations completed: `docker compose logs migrations`
|
||||||
|
|
||||||
|
### Port conflicts
|
||||||
|
|
||||||
|
If ports are already in use, override them:
|
||||||
|
|
||||||
|
```bash
|
||||||
|
SIM_PORT_OVERRIDE=3100 \
|
||||||
|
SIM_REALTIME_PORT_OVERRIDE=3102 \
|
||||||
|
POSTGRES_PORT_OVERRIDE=5433 \
|
||||||
|
docker compose up -d
|
||||||
|
```
|
||||||
|
|
||||||
|
## Additional Resources
|
||||||
|
|
||||||
|
- **Official Documentation**: [https://docs.sim.ai](https://docs.sim.ai)
|
||||||
|
- **GitHub Repository**: [https://github.com/simstudioai/sim](https://github.com/simstudioai/sim)
|
||||||
|
- **Cloud-hosted Version**: [https://sim.ai](https://sim.ai)
|
||||||
|
- **Self-hosting Guide**: [https://docs.sim.ai/self-hosting](https://docs.sim.ai/self-hosting)
|
||||||
|
|
||||||
|
## License
|
||||||
|
|
||||||
|
This configuration follows the Sim project licensing. Check the [official repository](https://github.com/simstudioai/sim) for license details.
|
||||||
|
|
||||||
|
## Support
|
||||||
|
|
||||||
|
For issues and questions:
|
||||||
|
|
||||||
|
- GitHub Issues: [https://github.com/simstudioai/sim/issues](https://github.com/simstudioai/sim/issues)
|
||||||
|
- Documentation: [https://docs.sim.ai](https://docs.sim.ai)
|
||||||
224
apps/sim/README.zh.md
Normal file
224
apps/sim/README.zh.md
Normal file
@@ -0,0 +1,224 @@
|
|||||||
|
# Sim - AI Agent Workflow Builder
|
||||||
|
|
||||||
|
开源 AI 智能体工作流构建和部署平台。从初创公司到世界 500 强企业的开发者都在 Sim 平台上部署智能体工作流。
|
||||||
|
|
||||||
|
## 功能特性
|
||||||
|
|
||||||
|
- **可视化工作流构建器**：通过拖拽界面构建多步骤 AI 智能体和工具
|
||||||
|
- **LLM 编排**：协调 LLM 调用、工具、Webhook 和外部 API
|
||||||
|
- **计划执行**：支持事件驱动和定时调度的智能体执行
|
||||||
|
- **RAG 支持**：一流的检索增强生成（RAG）支持
|
||||||
|
- **多租户**：基于工作空间的团队访问模型
|
||||||
|
- **100+ 集成**：连接流行的服务和 API
|
||||||
|
|
||||||
|
## 系统要求
|
||||||
|
|
||||||
|
| 资源 | 最低要求 | 推荐配置 |
|
||||||
|
| ------ | --------- | ---------------- |
|
||||||
|
| CPU | 2 核 | 4 核及以上 |
|
||||||
|
| 内存 | 12 GB | 16 GB 及以上 |
|
||||||
|
| 存储 | 20 GB SSD | 50 GB 及以上 SSD |
|
||||||
|
| Docker | 20.10+ | 最新版本 |
|
||||||
|
|
||||||
|
## 快速开始
|
||||||
|
|
||||||
|
```bash
|
||||||
|
# 复制环境配置文件
|
||||||
|
cp .env.example .env
|
||||||
|
|
||||||
|
# 重要：在生产环境中生成安全密钥
|
||||||
|
sed -i "s/your_auth_secret_here/$(openssl rand -hex 32)/" .env
|
||||||
|
sed -i "s/your_encryption_key_here/$(openssl rand -hex 32)/" .env
|
||||||
|
|
||||||
|
# 启动服务
|
||||||
|
docker compose up -d
|
||||||
|
|
||||||
|
# 查看日志
|
||||||
|
docker compose logs -f simstudio
|
||||||
|
```
|
||||||
|
|
||||||
|
访问应用：[http://localhost:3000](http://localhost:3000)
|
||||||
|
|
||||||
|
## 配置说明
|
||||||
|
|
||||||
|
### 必需的环境变量
|
||||||
|
|
||||||
|
在部署前，请在 `.env` 文件中更新这些关键设置：
|
||||||
|
|
||||||
|
```bash
|
||||||
|
# 安全密钥（必需 - 使用以下命令生成：openssl rand -hex 32）
|
||||||
|
BETTER_AUTH_SECRET=<your-secret-here>
|
||||||
|
ENCRYPTION_KEY=<your-secret-here>
|
||||||
|
|
||||||
|
# 应用 URL（生产环境需更新）
|
||||||
|
NEXT_PUBLIC_APP_URL=https://sim.yourdomain.com
|
||||||
|
BETTER_AUTH_URL=https://sim.yourdomain.com
|
||||||
|
NEXT_PUBLIC_SOCKET_URL=https://sim.yourdomain.com
|
||||||
|
|
||||||
|
# 数据库凭据（生产环境需更改默认值）
|
||||||
|
POSTGRES_USER=postgres
|
||||||
|
POSTGRES_PASSWORD=<strong-password>
|
||||||
|
POSTGRES_DB=simstudio
|
||||||
|
```
|
||||||
|
|
||||||
|
### 使用 Ollama
|
||||||
|
|
||||||
|
Sim 可以配合本地 AI 模型使用 [Ollama](https://ollama.ai)：
|
||||||
|
|
||||||
|
**外部 Ollama（运行在宿主机上）**：
|
||||||
|
|
||||||
|
```bash
|
||||||
|
# macOS/Windows
|
||||||
|
OLLAMA_URL=http://host.docker.internal:11434
|
||||||
|
|
||||||
|
# Linux - 使用宿主机实际 IP
|
||||||
|
OLLAMA_URL=http://192.168.1.100:11434
|
||||||
|
```
|
||||||
|
|
||||||
|
> **注意**：在 Docker 内部，`localhost` 指向容器本身。请使用 `host.docker.internal`（macOS/Windows）或宿主机 IP 地址（Linux）。
|
||||||
|
|
||||||
|
### 端口配置
|
||||||
|
|
||||||
|
默认端口可通过环境变量覆盖：
|
||||||
|
|
||||||
|
```bash
|
||||||
|
SIM_PORT_OVERRIDE=3000 # 主应用
|
||||||
|
SIM_REALTIME_PORT_OVERRIDE=3002 # 实时服务器
|
||||||
|
POSTGRES_PORT_OVERRIDE=5432 # PostgreSQL 数据库
|
||||||
|
```
|
||||||
|
|
||||||
|
### 资源限制
|
||||||
|
|
||||||
|
根据工作负载调整资源分配：
|
||||||
|
|
||||||
|
```bash
|
||||||
|
# 主应用
|
||||||
|
SIM_CPU_LIMIT=4.0
|
||||||
|
SIM_MEMORY_LIMIT=8G
|
||||||
|
|
||||||
|
# 实时服务器
|
||||||
|
SIM_REALTIME_CPU_LIMIT=2.0
|
||||||
|
SIM_REALTIME_MEMORY_LIMIT=4G
|
||||||
|
|
||||||
|
# PostgreSQL
|
||||||
|
POSTGRES_CPU_LIMIT=2.0
|
||||||
|
POSTGRES_MEMORY_LIMIT=2G
|
||||||
|
```
|
||||||
|
|
||||||
|
## 服务架构
|
||||||
|
|
||||||
|
部署包含 4 个服务：
|
||||||
|
|
||||||
|
1. **simstudio**：主 Next.js 应用（端口 3000）
|
||||||
|
2. **realtime**：WebSocket 实时功能服务器（端口 3002）
|
||||||
|
3. **migrations**：数据库架构管理（仅运行一次）
|
||||||
|
4. **db**：PostgreSQL 17 with pgvector 扩展（端口 5432）
|
||||||
|
|
||||||
|
## 常用操作
|
||||||
|
|
||||||
|
### 查看日志
|
||||||
|
|
||||||
|
```bash
|
||||||
|
# 所有服务
|
||||||
|
docker compose logs -f
|
||||||
|
|
||||||
|
# 特定服务
|
||||||
|
docker compose logs -f simstudio
|
||||||
|
```
|
||||||
|
|
||||||
|
### 停止服务
|
||||||
|
|
||||||
|
```bash
|
||||||
|
docker compose down
|
||||||
|
```
|
||||||
|
|
||||||
|
### 更新到最新版本
|
||||||
|
|
||||||
|
```bash
|
||||||
|
docker compose pull
|
||||||
|
docker compose up -d
|
||||||
|
```
|
||||||
|
|
||||||
|
### 备份数据库
|
||||||
|
|
||||||
|
```bash
|
||||||
|
docker compose exec db pg_dump -U postgres simstudio > backup_$(date +%Y%m%d).sql
|
||||||
|
```
|
||||||
|
|
||||||
|
### 恢复数据库
|
||||||
|
|
||||||
|
```bash
|
||||||
|
cat backup.sql | docker compose exec -T db psql -U postgres simstudio
|
||||||
|
```
|
||||||
|
|
||||||
|
## 安全注意事项
|
||||||
|
|
||||||
|
- **更改默认凭据**：在生产环境中更新 `POSTGRES_PASSWORD`
|
||||||
|
- **生成强密钥**：使用 `openssl rand -hex 32` 生成所有密钥值
|
||||||
|
- **使用 HTTPS**：配置反向代理（Nginx/Caddy）和 SSL 证书
|
||||||
|
- **网络隔离**：将数据库保持在内部网络
|
||||||
|
- **定期备份**：自动化数据库备份
|
||||||
|
- **定期更新**：拉取最新镜像获取安全补丁
|
||||||
|
|
||||||
|
## 生产环境部署
|
||||||
|
|
||||||
|
生产环境部署建议：
|
||||||
|
|
||||||
|
1. **使用反向代理**（Nginx、Caddy、Traefik）进行 SSL/TLS 终止
|
||||||
|
2. **配置防火墙**限制数据库访问
|
||||||
|
3. **设置监控**（健康检查、指标、日志）
|
||||||
|
4. **启用备份**（自动化 PostgreSQL 备份）
|
||||||
|
5. **使用外部数据库**以获得更好的性能和可靠性（可选）
|
||||||
|
|
||||||
|
Caddy 配置示例：
|
||||||
|
|
||||||
|
```caddy
|
||||||
|
sim.yourdomain.com {
|
||||||
|
reverse_proxy localhost:3000
|
||||||
|
|
||||||
|
handle /socket.io/* {
|
||||||
|
reverse_proxy localhost:3002
|
||||||
|
}
|
||||||
|
}
|
||||||
|
```
|
||||||
|
|
||||||
|
## 故障排查
|
||||||
|
|
||||||
|
### 模型不显示在下拉列表中
|
||||||
|
|
||||||
|
如果使用宿主机上的外部 Ollama，请确保 `OLLAMA_URL` 使用 `host.docker.internal` 或宿主机 IP 地址，而不是 `localhost`。
|
||||||
|
|
||||||
|
### 数据库连接错误
|
||||||
|
|
||||||
|
- 验证 PostgreSQL 健康状态：`docker compose ps`
|
||||||
|
- 检查数据库日志：`docker compose logs db`
|
||||||
|
- 确保迁移完成：`docker compose logs migrations`
|
||||||
|
|
||||||
|
### 端口冲突
|
||||||
|
|
||||||
|
如果端口已被占用，可以覆盖它们：
|
||||||
|
|
||||||
|
```bash
|
||||||
|
SIM_PORT_OVERRIDE=3100 \
|
||||||
|
SIM_REALTIME_PORT_OVERRIDE=3102 \
|
||||||
|
POSTGRES_PORT_OVERRIDE=5433 \
|
||||||
|
docker compose up -d
|
||||||
|
```
|
||||||
|
|
||||||
|
## 相关资源
|
||||||
|
|
||||||
|
- **官方文档**：[https://docs.sim.ai](https://docs.sim.ai)
|
||||||
|
- **GitHub 仓库**：[https://github.com/simstudioai/sim](https://github.com/simstudioai/sim)
|
||||||
|
- **云托管版本**：[https://sim.ai](https://sim.ai)
|
||||||
|
- **自托管指南**：[https://docs.sim.ai/self-hosting](https://docs.sim.ai/self-hosting)
|
||||||
|
|
||||||
|
## 许可证
|
||||||
|
|
||||||
|
此配置遵循 Sim 项目许可。请查看[官方仓库](https://github.com/simstudioai/sim)了解许可证详情。
|
||||||
|
|
||||||
|
## 支持
|
||||||
|
|
||||||
|
如有问题和疑问：
|
||||||
|
|
||||||
|
- GitHub Issues：[https://github.com/simstudioai/sim/issues](https://github.com/simstudioai/sim/issues)
|
||||||
|
- 文档：[https://docs.sim.ai](https://docs.sim.ai)
|
||||||
136
apps/sim/docker-compose.yaml
Normal file
136
apps/sim/docker-compose.yaml
Normal file
@@ -0,0 +1,136 @@
|
|||||||
|
# Sim - AI Agent Workflow Builder
|
||||||
|
# Open-source platform to build and deploy AI agent workflows
|
||||||
|
# Documentation: https://docs.sim.ai
|
||||||
|
|
||||||
|
x-defaults: &defaults
|
||||||
|
restart: unless-stopped
|
||||||
|
logging:
|
||||||
|
driver: json-file
|
||||||
|
options:
|
||||||
|
max-size: ${LOG_MAX_SIZE:-100m}
|
||||||
|
max-file: "${LOG_MAX_FILE:-3}"
|
||||||
|
|
||||||
|
services:
|
||||||
|
simstudio:
|
||||||
|
<<: *defaults
|
||||||
|
image: ${GLOBAL_REGISTRY:-}ghcr.io/simstudioai/simstudio:${SIM_VERSION:-latest}
|
||||||
|
ports:
|
||||||
|
- "${SIM_PORT_OVERRIDE:-3000}:3000"
|
||||||
|
environment:
|
||||||
|
- TZ=${TZ:-UTC}
|
||||||
|
- NODE_ENV=production
|
||||||
|
- DATABASE_URL=postgresql://${POSTGRES_USER:-postgres}:${POSTGRES_PASSWORD:-postgres}@db:5432/${POSTGRES_DB:-simstudio}
|
||||||
|
- BETTER_AUTH_URL=${NEXT_PUBLIC_APP_URL:-http://localhost:3000}
|
||||||
|
- NEXT_PUBLIC_APP_URL=${NEXT_PUBLIC_APP_URL:-http://localhost:3000}
|
||||||
|
- BETTER_AUTH_SECRET=${BETTER_AUTH_SECRET:-your_auth_secret_here}
|
||||||
|
- ENCRYPTION_KEY=${ENCRYPTION_KEY:-your_encryption_key_here}
|
||||||
|
- COPILOT_API_KEY=${COPILOT_API_KEY:-}
|
||||||
|
- SIM_AGENT_API_URL=${SIM_AGENT_API_URL:-}
|
||||||
|
- OLLAMA_URL=${OLLAMA_URL:-http://localhost:11434}
|
||||||
|
- SOCKET_SERVER_URL=${SOCKET_SERVER_URL:-http://localhost:3002}
|
||||||
|
- NEXT_PUBLIC_SOCKET_URL=${NEXT_PUBLIC_SOCKET_URL:-http://localhost:3002}
|
||||||
|
depends_on:
|
||||||
|
db:
|
||||||
|
condition: service_healthy
|
||||||
|
migrations:
|
||||||
|
condition: service_completed_successfully
|
||||||
|
realtime:
|
||||||
|
condition: service_healthy
|
||||||
|
healthcheck:
|
||||||
|
test: ["CMD", "wget", "--spider", "--quiet", "http://127.0.0.1:3000"]
|
||||||
|
interval: 90s
|
||||||
|
timeout: 10s
|
||||||
|
retries: 3
|
||||||
|
start_period: 30s
|
||||||
|
deploy:
|
||||||
|
resources:
|
||||||
|
limits:
|
||||||
|
cpus: ${SIM_CPU_LIMIT:-4.0}
|
||||||
|
memory: ${SIM_MEMORY_LIMIT:-8G}
|
||||||
|
reservations:
|
||||||
|
cpus: ${SIM_CPU_RESERVATION:-2.0}
|
||||||
|
memory: ${SIM_MEMORY_RESERVATION:-4G}
|
||||||
|
|
||||||
|
realtime:
|
||||||
|
<<: *defaults
|
||||||
|
image: ${GLOBAL_REGISTRY:-}ghcr.io/simstudioai/realtime:${SIM_REALTIME_VERSION:-latest}
|
||||||
|
ports:
|
||||||
|
- "${SIM_REALTIME_PORT_OVERRIDE:-3002}:3002"
|
||||||
|
environment:
|
||||||
|
- TZ=${TZ:-UTC}
|
||||||
|
- DATABASE_URL=postgresql://${POSTGRES_USER:-postgres}:${POSTGRES_PASSWORD:-postgres}@db:5432/${POSTGRES_DB:-simstudio}
|
||||||
|
- NEXT_PUBLIC_APP_URL=${NEXT_PUBLIC_APP_URL:-http://localhost:3000}
|
||||||
|
- BETTER_AUTH_URL=${BETTER_AUTH_URL:-http://localhost:3000}
|
||||||
|
- BETTER_AUTH_SECRET=${BETTER_AUTH_SECRET:-your_auth_secret_here}
|
||||||
|
depends_on:
|
||||||
|
db:
|
||||||
|
condition: service_healthy
|
||||||
|
healthcheck:
|
||||||
|
test: ["CMD", "wget", "--spider", "--quiet", "http://127.0.0.1:3002/health"]
|
||||||
|
interval: 90s
|
||||||
|
timeout: 10s
|
||||||
|
retries: 3
|
||||||
|
start_period: 30s
|
||||||
|
deploy:
|
||||||
|
resources:
|
||||||
|
limits:
|
||||||
|
cpus: ${SIM_REALTIME_CPU_LIMIT:-2.0}
|
||||||
|
memory: ${SIM_REALTIME_MEMORY_LIMIT:-4G}
|
||||||
|
reservations:
|
||||||
|
cpus: ${SIM_REALTIME_CPU_RESERVATION:-1.0}
|
||||||
|
memory: ${SIM_REALTIME_MEMORY_RESERVATION:-2G}
|
||||||
|
|
||||||
|
migrations:
|
||||||
|
image: ${GLOBAL_REGISTRY:-}ghcr.io/simstudioai/migrations:${SIM_MIGRATIONS_VERSION:-latest}
|
||||||
|
working_dir: /app/packages/db
|
||||||
|
environment:
|
||||||
|
- TZ=${TZ:-UTC}
|
||||||
|
- DATABASE_URL=postgresql://${POSTGRES_USER:-postgres}:${POSTGRES_PASSWORD:-postgres}@db:5432/${POSTGRES_DB:-simstudio}
|
||||||
|
depends_on:
|
||||||
|
db:
|
||||||
|
condition: service_healthy
|
||||||
|
command: ["bun", "run", "db:migrate"]
|
||||||
|
restart: "no"
|
||||||
|
logging:
|
||||||
|
driver: json-file
|
||||||
|
options:
|
||||||
|
max-size: ${LOG_MAX_SIZE:-100m}
|
||||||
|
max-file: "${LOG_MAX_FILE:-3}"
|
||||||
|
deploy:
|
||||||
|
resources:
|
||||||
|
limits:
|
||||||
|
cpus: ${SIM_MIGRATIONS_CPU_LIMIT:-1.0}
|
||||||
|
memory: ${SIM_MIGRATIONS_MEMORY_LIMIT:-512M}
|
||||||
|
reservations:
|
||||||
|
cpus: ${SIM_MIGRATIONS_CPU_RESERVATION:-0.5}
|
||||||
|
memory: ${SIM_MIGRATIONS_MEMORY_RESERVATION:-256M}
|
||||||
|
|
||||||
|
db:
|
||||||
|
<<: *defaults
|
||||||
|
image: ${GLOBAL_REGISTRY:-}pgvector/pgvector:${PGVECTOR_VERSION:-pg17}
|
||||||
|
ports:
|
||||||
|
- "${POSTGRES_PORT_OVERRIDE:-5432}:5432"
|
||||||
|
environment:
|
||||||
|
- TZ=${TZ:-UTC}
|
||||||
|
- POSTGRES_USER=${POSTGRES_USER:-postgres}
|
||||||
|
- POSTGRES_PASSWORD=${POSTGRES_PASSWORD:-postgres}
|
||||||
|
- POSTGRES_DB=${POSTGRES_DB:-simstudio}
|
||||||
|
volumes:
|
||||||
|
- postgres_data:/var/lib/postgresql/data
|
||||||
|
healthcheck:
|
||||||
|
test: ["CMD-SHELL", "pg_isready -U ${POSTGRES_USER:-postgres}"]
|
||||||
|
interval: 10s
|
||||||
|
timeout: 5s
|
||||||
|
retries: 5
|
||||||
|
start_period: 10s
|
||||||
|
deploy:
|
||||||
|
resources:
|
||||||
|
limits:
|
||||||
|
cpus: ${POSTGRES_CPU_LIMIT:-2.0}
|
||||||
|
memory: ${POSTGRES_MEMORY_LIMIT:-2G}
|
||||||
|
reservations:
|
||||||
|
cpus: ${POSTGRES_CPU_RESERVATION:-1.0}
|
||||||
|
memory: ${POSTGRES_MEMORY_RESERVATION:-1G}
|
||||||
|
|
||||||
|
volumes:
|
||||||
|
postgres_data:
|
||||||
@@ -7,7 +7,7 @@ K3S_VERSION=v1.28.2+k3s1
|
|||||||
|
|
||||||
# K3s DinD Image Version
|
# K3s DinD Image Version
|
||||||
# Built image version tag
|
# Built image version tag
|
||||||
K3S_DIND_VERSION=0.2.0
|
K3S_DIND_VERSION=0.2.1
|
||||||
# Preload Images
|
# Preload Images
|
||||||
# Whether to pre-download common images during build (true/false)
|
# Whether to pre-download common images during build (true/false)
|
||||||
# Set to false to speed up build time if you have good internet connectivity
|
# Set to false to speed up build time if you have good internet connectivity
|
||||||
|
|||||||
@@ -62,13 +62,14 @@ A lightweight Kubernetes distribution (K3s) running inside a Docker-in-Docker (D
|
|||||||
| Variable | Default | Description |
|
| Variable | Default | Description |
|
||||||
| ----------------------------- | -------------- | ------------------------------------- |
|
| ----------------------------- | -------------- | ------------------------------------- |
|
||||||
| `K3S_VERSION` | `v1.28.2+k3s1` | K3s version to install |
|
| `K3S_VERSION` | `v1.28.2+k3s1` | K3s version to install |
|
||||||
| `K3S_DIND_VERSION` | `0.2.0` | Built image version tag |
|
| `K3S_DIND_VERSION` | `0.2.1` | Built image version tag |
|
||||||
| `PRELOAD_IMAGES` | `true` | Pre-download images during build |
|
| `PRELOAD_IMAGES` | `true` | Pre-download images during build |
|
||||||
| `TZ` | `UTC` | Container timezone |
|
| `TZ` | `UTC` | Container timezone |
|
||||||
| `K3S_API_PORT_OVERRIDE` | `6443` | Kubernetes API server port |
|
| `K3S_API_PORT_OVERRIDE` | `6443` | Kubernetes API server port |
|
||||||
| `DOCKER_TLS_PORT_OVERRIDE` | `2376` | Docker daemon TLS port |
|
| `DOCKER_TLS_PORT_OVERRIDE` | `2376` | Docker daemon TLS port |
|
||||||
| `K3S_TOKEN` | (empty) | Shared secret for cluster join |
|
| `K3S_TOKEN` | (empty) | Shared secret for cluster join |
|
||||||
| `K3S_DISABLE_SERVICES` | `traefik` | Services to disable (comma-separated) |
|
| `K3S_DISABLE_SERVICES` | `traefik` | Services to disable (comma-separated) |
|
||||||
|
| `K3S_NODE_NAME` | `k3s-server` | Node name for the K3s server |
|
||||||
| `K3S_DIND_CPU_LIMIT` | `2.00` | CPU limit (cores) |
|
| `K3S_DIND_CPU_LIMIT` | `2.00` | CPU limit (cores) |
|
||||||
| `K3S_DIND_MEMORY_LIMIT` | `4G` | Memory limit |
|
| `K3S_DIND_MEMORY_LIMIT` | `4G` | Memory limit |
|
||||||
| `K3S_DIND_CPU_RESERVATION` | `0.50` | CPU reservation (cores) |
|
| `K3S_DIND_CPU_RESERVATION` | `0.50` | CPU reservation (cores) |
|
||||||
|
|||||||
@@ -62,13 +62,14 @@
|
|||||||
| 变量 | 默认值 | 说明 |
|
| 变量 | 默认值 | 说明 |
|
||||||
| ----------------------------- | -------------- | ------------------------- |
|
| ----------------------------- | -------------- | ------------------------- |
|
||||||
| `K3S_VERSION` | `v1.28.2+k3s1` | 要安装的 K3s 版本 |
|
| `K3S_VERSION` | `v1.28.2+k3s1` | 要安装的 K3s 版本 |
|
||||||
| `K3S_DIND_VERSION` | `0.2.0` | 构建的镜像版本标签 |
|
| `K3S_DIND_VERSION` | `0.2.1` | 构建的镜像版本标签 |
|
||||||
| `PRELOAD_IMAGES` | `true` | 构建时预下载镜像 |
|
| `PRELOAD_IMAGES` | `true` | 构建时预下载镜像 |
|
||||||
| `TZ` | `UTC` | 容器时区 |
|
| `TZ` | `UTC` | 容器时区 |
|
||||||
| `K3S_API_PORT_OVERRIDE` | `6443` | Kubernetes API 服务器端口 |
|
| `K3S_API_PORT_OVERRIDE` | `6443` | Kubernetes API 服务器端口 |
|
||||||
| `DOCKER_TLS_PORT_OVERRIDE` | `2376` | Docker 守护进程 TLS 端口 |
|
| `DOCKER_TLS_PORT_OVERRIDE` | `2376` | Docker 守护进程 TLS 端口 |
|
||||||
| `K3S_TOKEN` | （空） | 集群加入的共享密钥 |
|
| `K3S_TOKEN` | （空） | 集群加入的共享密钥 |
|
||||||
| `K3S_DISABLE_SERVICES` | `traefik` | 要禁用的服务（逗号分隔） |
|
| `K3S_DISABLE_SERVICES` | `traefik` | 要禁用的服务（逗号分隔） |
|
||||||
|
| `K3S_NODE_NAME` | `k3s-server` | K3s 服务器的节点名称 |
|
||||||
| `K3S_DIND_CPU_LIMIT` | `2.00` | CPU 限制（核心数） |
|
| `K3S_DIND_CPU_LIMIT` | `2.00` | CPU 限制（核心数） |
|
||||||
| `K3S_DIND_MEMORY_LIMIT` | `4G` | 内存限制 |
|
| `K3S_DIND_MEMORY_LIMIT` | `4G` | 内存限制 |
|
||||||
| `K3S_DIND_CPU_RESERVATION` | `0.50` | CPU 预留（核心数） |
|
| `K3S_DIND_CPU_RESERVATION` | `0.50` | CPU 预留（核心数） |
|
||||||
|
|||||||
@@ -13,7 +13,7 @@ x-defaults: &defaults
|
|||||||
services:
|
services:
|
||||||
k3s:
|
k3s:
|
||||||
<<: *defaults
|
<<: *defaults
|
||||||
image: ${GLOBAL_REGISTRY:-}alexsuntop/k3s-inside-dind:${K3S_DIND_VERSION:-0.2.0}
|
image: ${GLOBAL_REGISTRY:-}alexsuntop/k3s-inside-dind:${K3S_DIND_VERSION:-0.2.1}
|
||||||
build:
|
build:
|
||||||
context: .
|
context: .
|
||||||
dockerfile: Dockerfile
|
dockerfile: Dockerfile
|
||||||
@@ -31,6 +31,7 @@ services:
|
|||||||
- TZ=${TZ:-UTC}
|
- TZ=${TZ:-UTC}
|
||||||
- K3S_TOKEN=${K3S_TOKEN:-}
|
- K3S_TOKEN=${K3S_TOKEN:-}
|
||||||
- K3S_DISABLE_SERVICES=${K3S_DISABLE_SERVICES:-traefik}
|
- K3S_DISABLE_SERVICES=${K3S_DISABLE_SERVICES:-traefik}
|
||||||
|
- K3S_NODE_NAME=${K3S_NODE_NAME:-k3s-server}
|
||||||
healthcheck:
|
healthcheck:
|
||||||
test: ["CMD", "k3s", "kubectl", "get", "--raw", "/healthz"]
|
test: ["CMD", "k3s", "kubectl", "get", "--raw", "/healthz"]
|
||||||
interval: 30s
|
interval: 30s
|
||||||
|
|||||||
@@ -19,7 +19,12 @@ echo "Docker is ready."
|
|||||||
echo "Starting K3s..."
|
echo "Starting K3s..."
|
||||||
|
|
||||||
# Build K3s server arguments
|
# Build K3s server arguments
|
||||||
K3S_ARGS="--snapshotter=native --write-kubeconfig-mode=644 --https-listen-port=6443"
|
if [ -n "$K3S_ARGS" ]; then
|
||||||
|
echo "Using custom K3S_ARGS: $K3S_ARGS"
|
||||||
|
else
|
||||||
|
echo "No custom K3S_ARGS provided, using defaults."
|
||||||
|
K3S_ARGS="--snapshotter=native --write-kubeconfig-mode=644 --https-listen-port=6443"
|
||||||
|
fi
|
||||||
|
|
||||||
# Add disable services if specified
|
# Add disable services if specified
|
||||||
if [ -n "$K3S_DISABLE_SERVICES" ]; then
|
if [ -n "$K3S_DISABLE_SERVICES" ]; then
|
||||||
|
|||||||
@@ -1,230 +0,0 @@
|
|||||||
# Langflow
|
|
||||||
|
|
||||||
Langflow is a low-code visual framework for building AI applications. It's Python-based and agnostic to any model, API, or database, making it easy to build RAG applications, multi-agent systems, and custom AI workflows.
|
|
||||||
|
|
||||||
## Features
|
|
||||||
|
|
||||||
- **Visual Flow Builder**: Drag-and-drop interface for building AI applications
|
|
||||||
- **Multi-Model Support**: Works with OpenAI, Anthropic, Google, HuggingFace, and more
|
|
||||||
- **RAG Components**: Built-in support for vector databases and retrieval
|
|
||||||
- **Custom Components**: Create your own Python components
|
|
||||||
- **Agent Support**: Build multi-agent systems with memory and tools
|
|
||||||
- **Real-Time Monitoring**: Track executions and debug flows
|
|
||||||
- **API Integration**: REST API for programmatic access
|
|
||||||
|
|
||||||
## Quick Start
|
|
||||||
|
|
||||||
1. Copy `.env.example` to `.env`:
|
|
||||||
|
|
||||||
```bash
|
|
||||||
cp .env.example .env
|
|
||||||
```
|
|
||||||
|
|
||||||
2. (Optional) Edit `.env` to customize settings:
|
|
||||||
- Generate a secure `LANGFLOW_SECRET_KEY` for production
|
|
||||||
- Set `LANGFLOW_AUTO_LOGIN=false` to require authentication
|
|
||||||
- Configure superuser credentials
|
|
||||||
- Add API keys for LLM providers
|
|
||||||
|
|
||||||
3. Start Langflow:
|
|
||||||
|
|
||||||
```bash
|
|
||||||
docker compose up -d
|
|
||||||
```
|
|
||||||
|
|
||||||
4. Wait for services to be ready
|
|
||||||
|
|
||||||
5. Access Langflow UI at `http://localhost:7860`
|
|
||||||
|
|
||||||
6. Start building your AI application!
|
|
||||||
|
|
||||||
## Default Configuration
|
|
||||||
|
|
||||||
| Service | Port | Description |
|
|
||||||
| ---------- | ---- | ------------------- |
|
|
||||||
| Langflow | 7860 | Web UI and API |
|
|
||||||
| PostgreSQL | 5432 | Database (internal) |
|
|
||||||
|
|
||||||
**Default Credentials** (if authentication enabled):
|
|
||||||
|
|
||||||
- Username: `langflow`
|
|
||||||
- Password: `langflow`
|
|
||||||
|
|
||||||
## Environment Variables
|
|
||||||
|
|
||||||
Key environment variables (see `.env.example` for full list):
|
|
||||||
|
|
||||||
| Variable | Description | Default |
|
|
||||||
| ----------------------------- | ----------------------------- | ---------- |
|
|
||||||
| `LANGFLOW_VERSION` | Langflow image version | `latest` |
|
|
||||||
| `LANGFLOW_PORT_OVERRIDE` | Host port for UI | `7860` |
|
|
||||||
| `POSTGRES_PASSWORD` | Database password | `langflow` |
|
|
||||||
| `LANGFLOW_AUTO_LOGIN` | Auto-login (disable for auth) | `true` |
|
|
||||||
| `LANGFLOW_SUPERUSER` | Superuser username | `langflow` |
|
|
||||||
| `LANGFLOW_SUPERUSER_PASSWORD` | Superuser password | `langflow` |
|
|
||||||
| `LANGFLOW_SECRET_KEY` | Secret key for sessions | (empty) |
|
|
||||||
| `LANGFLOW_COMPONENTS_PATH` | Custom components directory | (empty) |
|
|
||||||
| `LANGFLOW_LOAD_FLOWS_PATH` | Auto-load flows directory | (empty) |
|
|
||||||
| `TZ` | Timezone | `UTC` |
|
|
||||||
|
|
||||||
## Resource Requirements
|
|
||||||
|
|
||||||
**Minimum**:
|
|
||||||
|
|
||||||
- CPU: 1 core
|
|
||||||
- RAM: 1GB
|
|
||||||
- Disk: 5GB
|
|
||||||
|
|
||||||
**Recommended**:
|
|
||||||
|
|
||||||
- CPU: 2+ cores
|
|
||||||
- RAM: 2GB+
|
|
||||||
- Disk: 20GB+
|
|
||||||
|
|
||||||
## Volumes
|
|
||||||
|
|
||||||
- `postgres_data`: PostgreSQL database data
|
|
||||||
- `langflow_data`: Langflow configuration, flows, and logs
|
|
||||||
|
|
||||||
## Using Langflow
|
|
||||||
|
|
||||||
### Building Your First Flow
|
|
||||||
|
|
||||||
1. Access the UI at `http://localhost:7860`
|
|
||||||
2. Click "New Flow" or use a template
|
|
||||||
3. Drag components from the sidebar to the canvas
|
|
||||||
4. Connect components by dragging between ports
|
|
||||||
5. Configure component parameters
|
|
||||||
6. Click "Run" to test your flow
|
|
||||||
7. Use the API or integrate with your application
|
|
||||||
|
|
||||||
### Adding API Keys
|
|
||||||
|
|
||||||
You can add API keys for LLM providers in two ways:
|
|
||||||
|
|
||||||
#### Option 1: Global Variables (Recommended)
|
|
||||||
|
|
||||||
1. Click your profile icon → Settings
|
|
||||||
2. Go to "Global Variables"
|
|
||||||
3. Add your API keys (e.g., `OPENAI_API_KEY`)
|
|
||||||
4. Reference them in components using `{OPENAI_API_KEY}`
|
|
||||||
|
|
||||||
#### Option 2: Environment Variables
|
|
||||||
|
|
||||||
Add to your `.env` file:
|
|
||||||
|
|
||||||
```text
|
|
||||||
OPENAI_API_KEY=sk-...
|
|
||||||
ANTHROPIC_API_KEY=sk-ant-...
|
|
||||||
GOOGLE_API_KEY=...
|
|
||||||
```
|
|
||||||
|
|
||||||
Langflow will automatically create global variables from these.
|
|
||||||
|
|
||||||
### Using the API
|
|
||||||
|
|
||||||
Get your API token from the UI:
|
|
||||||
|
|
||||||
1. Click your profile icon → Settings
|
|
||||||
2. Go to "API Keys"
|
|
||||||
3. Create a new API key
|
|
||||||
|
|
||||||
Example: Run a flow
|
|
||||||
|
|
||||||
```bash
|
|
||||||
curl -X POST http://localhost:7860/api/v1/run/YOUR_FLOW_ID \
|
|
||||||
-H "Authorization: Bearer YOUR_API_KEY" \
|
|
||||||
-H "Content-Type: application/json" \
|
|
||||||
-d '{"input_value": "Hello"}'
|
|
||||||
```
|
|
||||||
|
|
||||||
### Custom Components
|
|
||||||
|
|
||||||
1. Create a directory for your components
|
|
||||||
2. Set `LANGFLOW_COMPONENTS_PATH` in `.env`
|
|
||||||
3. Create Python files with your component classes
|
|
||||||
4. Restart Langflow to load them
|
|
||||||
|
|
||||||
Example component structure:
|
|
||||||
|
|
||||||
```python
|
|
||||||
from langflow import CustomComponent
|
|
||||||
|
|
||||||
class MyComponent(CustomComponent):
|
|
||||||
display_name = "My Component"
|
|
||||||
description = "Does something cool"
|
|
||||||
|
|
||||||
def build(self):
|
|
||||||
# Your component logic
|
|
||||||
return result
|
|
||||||
```
|
|
||||||
|
|
||||||
## Security Considerations
|
|
||||||
|
|
||||||
1. **Secret Key**: Generate a strong `LANGFLOW_SECRET_KEY` for production:
|
|
||||||
|
|
||||||
```bash
|
|
||||||
python -c "from secrets import token_urlsafe; print(token_urlsafe(32))"
|
|
||||||
```
|
|
||||||
|
|
||||||
2. **Authentication**: Set `LANGFLOW_AUTO_LOGIN=false` to require login
|
|
||||||
3. **Database Password**: Use a strong PostgreSQL password
|
|
||||||
4. **API Keys**: Store sensitive keys as global variables, not in flows
|
|
||||||
5. **SSL/TLS**: Use reverse proxy with HTTPS in production
|
|
||||||
6. **Network Access**: Restrict access with firewall rules
|
|
||||||
|
|
||||||
## Upgrading
|
|
||||||
|
|
||||||
To upgrade Langflow:
|
|
||||||
|
|
||||||
1. Update `LANGFLOW_VERSION` in `.env` (or use `latest`)
|
|
||||||
2. Pull and restart:
|
|
||||||
|
|
||||||
```bash
|
|
||||||
docker compose pull
|
|
||||||
docker compose up -d
|
|
||||||
```
|
|
||||||
|
|
||||||
3. Check logs:
|
|
||||||
|
|
||||||
```bash
|
|
||||||
docker compose logs -f langflow
|
|
||||||
```
|
|
||||||
|
|
||||||
## Troubleshooting
|
|
||||||
|
|
||||||
**Service won't start:**
|
|
||||||
|
|
||||||
- Check logs: `docker compose logs langflow`
|
|
||||||
- Verify database: `docker compose ps postgres`
|
|
||||||
- Ensure sufficient resources allocated
|
|
||||||
|
|
||||||
**Cannot access UI:**
|
|
||||||
|
|
||||||
- Check port 7860 is not in use: `netstat -an | findstr 7860`
|
|
||||||
- Verify firewall settings
|
|
||||||
- Check container health: `docker compose ps`
|
|
||||||
|
|
||||||
**API key not working:**
|
|
||||||
|
|
||||||
- Verify the key is set in Global Variables
|
|
||||||
- Check the variable name matches in your components
|
|
||||||
- Ensure `LANGFLOW_STORE_ENVIRONMENT_VARIABLES=true`
|
|
||||||
|
|
||||||
**Flow execution errors:**
|
|
||||||
|
|
||||||
- Check component configurations
|
|
||||||
- Review logs in the UI under each component
|
|
||||||
- Verify API keys have sufficient credits/permissions
|
|
||||||
|
|
||||||
## References
|
|
||||||
|
|
||||||
- Official Website: <https://langflow.org>
|
|
||||||
- Documentation: <https://docs.langflow.org>
|
|
||||||
- GitHub: <https://github.com/langflow-ai/langflow>
|
|
||||||
- Discord Community: <https://discord.gg/EqksyE2EX9>
|
|
||||||
- Docker Hub: <https://hub.docker.com/r/langflowai/langflow>
|
|
||||||
|
|
||||||
## License
|
|
||||||
|
|
||||||
Langflow is licensed under MIT. See [LICENSE](https://github.com/langflow-ai/langflow/blob/main/LICENSE) for more information.
|
|
||||||
@@ -1,230 +0,0 @@
|
|||||||
# Langflow
|
|
||||||
|
|
||||||
Langflow 是一个低代码可视化框架，用于构建 AI 应用。它基于 Python，与任何模型、API 或数据库无关，可轻松构建 RAG 应用、多智能体系统和自定义 AI 工作流。
|
|
||||||
|
|
||||||
## 功能特点
|
|
||||||
|
|
||||||
- **可视化流构建器**：拖放界面构建 AI 应用
|
|
||||||
- **多模型支持**：支持 OpenAI、Anthropic、Google、HuggingFace 等
|
|
||||||
- **RAG 组件**：内置向量数据库和检索支持
|
|
||||||
- **自定义组件**：创建您自己的 Python 组件
|
|
||||||
- **智能体支持**：构建具有记忆和工具的多智能体系统
|
|
||||||
- **实时监控**：跟踪执行并调试流程
|
|
||||||
- **API 集成**：用于编程访问的 REST API
|
|
||||||
|
|
||||||
## 快速开始
|
|
||||||
|
|
||||||
1. 复制 `.env.example` 到 `.env`：
|
|
||||||
|
|
||||||
```bash
|
|
||||||
copy .env.example .env
|
|
||||||
```
|
|
||||||
|
|
||||||
2. （可选）编辑 `.env` 自定义设置：
|
|
||||||
- 为生产环境生成安全的 `LANGFLOW_SECRET_KEY`
|
|
||||||
- 设置 `LANGFLOW_AUTO_LOGIN=false` 以要求身份验证
|
|
||||||
- 配置超级用户凭证
|
|
||||||
- 为 LLM 提供商添加 API 密钥
|
|
||||||
|
|
||||||
3. 启动 Langflow：
|
|
||||||
|
|
||||||
```bash
|
|
||||||
docker compose up -d
|
|
||||||
```
|
|
||||||
|
|
||||||
4. 等待服务就绪
|
|
||||||
|
|
||||||
5. 访问 Langflow UI：`http://localhost:7860`
|
|
||||||
|
|
||||||
6. 开始构建您的 AI 应用！
|
|
||||||
|
|
||||||
## 默认配置
|
|
||||||
|
|
||||||
| 服务 | 端口 | 说明 |
|
|
||||||
| ---------- | ---- | -------------- |
|
|
||||||
| Langflow | 7860 | Web UI 和 API |
|
|
||||||
| PostgreSQL | 5432 | 数据库（内部） |
|
|
||||||
|
|
||||||
**默认凭证**（如果启用了身份验证）：
|
|
||||||
|
|
||||||
- 用户名：`langflow`
|
|
||||||
- 密码：`langflow`
|
|
||||||
|
|
||||||
## 环境变量
|
|
||||||
|
|
||||||
主要环境变量（完整列表请参阅 `.env.example`）：
|
|
||||||
|
|
||||||
| 变量 | 说明 | 默认值 |
|
|
||||||
| ----------------------------- | ------------------------------ | ---------- |
|
|
||||||
| `LANGFLOW_VERSION` | Langflow 镜像版本 | `latest` |
|
|
||||||
| `LANGFLOW_PORT_OVERRIDE` | UI 的主机端口 | `7860` |
|
|
||||||
| `POSTGRES_PASSWORD` | 数据库密码 | `langflow` |
|
|
||||||
| `LANGFLOW_AUTO_LOGIN` | 自动登录（禁用以启用身份验证） | `true` |
|
|
||||||
| `LANGFLOW_SUPERUSER` | 超级用户用户名 | `langflow` |
|
|
||||||
| `LANGFLOW_SUPERUSER_PASSWORD` | 超级用户密码 | `langflow` |
|
|
||||||
| `LANGFLOW_SECRET_KEY` | 会话密钥 | （空） |
|
|
||||||
| `LANGFLOW_COMPONENTS_PATH` | 自定义组件目录 | （空） |
|
|
||||||
| `LANGFLOW_LOAD_FLOWS_PATH` | 自动加载流目录 | （空） |
|
|
||||||
| `TZ` | 时区 | `UTC` |
|
|
||||||
|
|
||||||
## 资源需求
|
|
||||||
|
|
||||||
**最低要求**：
|
|
||||||
|
|
||||||
- CPU：1 核心
|
|
||||||
- 内存：1GB
|
|
||||||
- 磁盘：5GB
|
|
||||||
|
|
||||||
**推荐配置**：
|
|
||||||
|
|
||||||
- CPU：2+ 核心
|
|
||||||
- 内存：2GB+
|
|
||||||
- 磁盘：20GB+
|
|
||||||
|
|
||||||
## 数据卷
|
|
||||||
|
|
||||||
- `postgres_data`：PostgreSQL 数据库数据
|
|
||||||
- `langflow_data`：Langflow 配置、流和日志
|
|
||||||
|
|
||||||
## 使用 Langflow
|
|
||||||
|
|
||||||
### 构建您的第一个流
|
|
||||||
|
|
||||||
1. 访问 UI：`http://localhost:7860`
|
|
||||||
2. 点击 "New Flow" 或使用模板
|
|
||||||
3. 从侧边栏拖动组件到画布
|
|
||||||
4. 通过在端口之间拖动来连接组件
|
|
||||||
5. 配置组件参数
|
|
||||||
6. 点击 "Run" 测试您的流
|
|
||||||
7. 使用 API 或与您的应用集成
|
|
||||||
|
|
||||||
### 添加 API 密钥
|
|
||||||
|
|
||||||
您可以通过两种方式为 LLM 提供商添加 API 密钥：
|
|
||||||
|
|
||||||
#### 方法 1：全局变量（推荐）
|
|
||||||
|
|
||||||
1. 点击您的个人资料图标 → Settings
|
|
||||||
2. 进入 "Global Variables"
|
|
||||||
3. 添加您的 API 密钥（例如 `OPENAI_API_KEY`）
|
|
||||||
4. 在组件中使用 `{OPENAI_API_KEY}` 引用它们
|
|
||||||
|
|
||||||
#### 方法 2：环境变量
|
|
||||||
|
|
||||||
添加到您的 `.env` 文件：
|
|
||||||
|
|
||||||
```text
|
|
||||||
OPENAI_API_KEY=sk-...
|
|
||||||
ANTHROPIC_API_KEY=sk-ant-...
|
|
||||||
GOOGLE_API_KEY=...
|
|
||||||
```
|
|
||||||
|
|
||||||
Langflow 会自动从这些创建全局变量。
|
|
||||||
|
|
||||||
### 使用 API
|
|
||||||
|
|
||||||
从 UI 获取您的 API 令牌：
|
|
||||||
|
|
||||||
1. 点击您的个人资料图标 → Settings
|
|
||||||
2. 进入 "API Keys"
|
|
||||||
3. 创建新的 API 密钥
|
|
||||||
|
|
||||||
示例：运行流
|
|
||||||
|
|
||||||
```bash
|
|
||||||
curl -X POST http://localhost:7860/api/v1/run/YOUR_FLOW_ID \
|
|
||||||
-H "Authorization: Bearer YOUR_API_KEY" \
|
|
||||||
-H "Content-Type: application/json" \
|
|
||||||
-d '{"input_value": "Hello"}'
|
|
||||||
```
|
|
||||||
|
|
||||||
### 自定义组件
|
|
||||||
|
|
||||||
1. 为您的组件创建一个目录
|
|
||||||
2. 在 `.env` 中设置 `LANGFLOW_COMPONENTS_PATH`
|
|
||||||
3. 使用您的组件类创建 Python 文件
|
|
||||||
4. 重启 Langflow 以加载它们
|
|
||||||
|
|
||||||
示例组件结构：
|
|
||||||
|
|
||||||
```python
|
|
||||||
from langflow import CustomComponent
|
|
||||||
|
|
||||||
class MyComponent(CustomComponent):
|
|
||||||
display_name = "My Component"
|
|
||||||
description = "Does something cool"
|
|
||||||
|
|
||||||
def build(self):
|
|
||||||
# Your component logic
|
|
||||||
return result
|
|
||||||
```
|
|
||||||
|
|
||||||
## 安全注意事项
|
|
||||||
|
|
||||||
1. **密钥**：为生产环境生成强 `LANGFLOW_SECRET_KEY`：
|
|
||||||
|
|
||||||
```bash
|
|
||||||
python -c "from secrets import token_urlsafe; print(token_urlsafe(32))"
|
|
||||||
```
|
|
||||||
|
|
||||||
2. **身份验证**：设置 `LANGFLOW_AUTO_LOGIN=false` 以要求登录
|
|
||||||
3. **数据库密码**：使用强 PostgreSQL 密码
|
|
||||||
4. **API 密钥**：将敏感密钥存储为全局变量，而不是在流中
|
|
||||||
5. **SSL/TLS**：在生产环境中使用带 HTTPS 的反向代理
|
|
||||||
6. **网络访问**：使用防火墙规则限制访问
|
|
||||||
|
|
||||||
## 升级
|
|
||||||
|
|
||||||
升级 Langflow：
|
|
||||||
|
|
||||||
1. 在 `.env` 中更新 `LANGFLOW_VERSION`（或使用 `latest`）
|
|
||||||
2. 拉取并重启：
|
|
||||||
|
|
||||||
```bash
|
|
||||||
docker compose pull
|
|
||||||
docker compose up -d
|
|
||||||
```
|
|
||||||
|
|
||||||
3. 检查日志：
|
|
||||||
|
|
||||||
```bash
|
|
||||||
docker compose logs -f langflow
|
|
||||||
```
|
|
||||||
|
|
||||||
## 故障排除
|
|
||||||
|
|
||||||
**服务无法启动：**
|
|
||||||
|
|
||||||
- 检查日志：`docker compose logs langflow`
|
|
||||||
- 验证数据库：`docker compose ps postgres`
|
|
||||||
- 确保分配了足够的资源
|
|
||||||
|
|
||||||
**无法访问 UI：**
|
|
||||||
|
|
||||||
- 检查端口 7860 未被占用：`netstat -an | findstr 7860`
|
|
||||||
- 验证防火墙设置
|
|
||||||
- 检查容器健康：`docker compose ps`
|
|
||||||
|
|
||||||
**API 密钥不工作：**
|
|
||||||
|
|
||||||
- 验证密钥已在全局变量中设置
|
|
||||||
- 检查变量名称在组件中匹配
|
|
||||||
- 确保 `LANGFLOW_STORE_ENVIRONMENT_VARIABLES=true`
|
|
||||||
|
|
||||||
**流执行错误：**
|
|
||||||
|
|
||||||
- 检查组件配置
|
|
||||||
- 在 UI 中每个组件下查看日志
|
|
||||||
- 验证 API 密钥有足够的额度/权限
|
|
||||||
|
|
||||||
## 参考资料
|
|
||||||
|
|
||||||
- 官方网站：<https://langflow.org>
|
|
||||||
- 文档：<https://docs.langflow.org>
|
|
||||||
- GitHub：<https://github.com/langflow-ai/langflow>
|
|
||||||
- Discord 社区：<https://discord.gg/EqksyE2EX9>
|
|
||||||
- Docker Hub：<https://hub.docker.com/r/langflowai/langflow>
|
|
||||||
|
|
||||||
## 许可证
|
|
||||||
|
|
||||||
Langflow 使用 MIT 许可证。详情请参阅 [LICENSE](https://github.com/langflow-ai/langflow/blob/main/LICENSE)。
|
|
||||||
37
src/pingap/.env.example
Normal file
37
src/pingap/.env.example
Normal file
@@ -0,0 +1,37 @@
|
|||||||
|
# Pingap Configuration
|
||||||
|
|
||||||
|
# Global Settings
|
||||||
|
# GLOBAL_REGISTRY=your-registry.com/
|
||||||
|
TZ=UTC
|
||||||
|
|
||||||
|
# Pingap Version
|
||||||
|
# Use version-full for production (includes OpenTelemetry, Sentry, image compression plugins)
|
||||||
|
# Available tags: latest, full, 0.12.1, 0.12.1-full
|
||||||
|
PINGAP_VERSION=0.12.1-full
|
||||||
|
|
||||||
|
# Container Name (optional, leave empty for auto-generated name)
|
||||||
|
PINGAP_CONTAINER_NAME=
|
||||||
|
|
||||||
|
# Port Overrides
|
||||||
|
# HTTP port - exposed on host
|
||||||
|
PINGAP_HTTP_PORT_OVERRIDE=80
|
||||||
|
# HTTPS port - exposed on host
|
||||||
|
PINGAP_HTTPS_PORT_OVERRIDE=443
|
||||||
|
|
||||||
|
# Data Directory
|
||||||
|
# Path for persistent storage of configuration and data
|
||||||
|
PINGAP_DATA_DIR=./pingap
|
||||||
|
|
||||||
|
# Admin Configuration
|
||||||
|
# Admin interface address (format: host:port/path)
|
||||||
|
PINGAP_ADMIN_ADDR=0.0.0.0:80/pingap
|
||||||
|
# Admin username
|
||||||
|
PINGAP_ADMIN_USER=admin
|
||||||
|
# Admin password (REQUIRED - set a strong password!)
|
||||||
|
PINGAP_ADMIN_PASSWORD=changeme
|
||||||
|
|
||||||
|
# Resource Limits
|
||||||
|
PINGAP_CPU_LIMIT=1.0
|
||||||
|
PINGAP_MEMORY_LIMIT=512M
|
||||||
|
PINGAP_CPU_RESERVATION=0.5
|
||||||
|
PINGAP_MEMORY_RESERVATION=256M
|
||||||
127
src/pingap/README.md
Normal file
127
src/pingap/README.md
Normal file
@@ -0,0 +1,127 @@
|
|||||||
|
# Pingap
|
||||||
|
|
||||||
|
[中文说明](./README.zh.md)
|
||||||
|
|
||||||
|
A high-performance reverse proxy built on Cloudflare Pingora, designed as a more efficient alternative to Nginx with dynamic configuration, hot-reloading capabilities, and an intuitive web admin interface.
|
||||||
|
|
||||||
|
## Features
|
||||||
|
|
||||||
|
- **High Performance**: Built on Cloudflare's Pingora framework for exceptional performance
|
||||||
|
- **Dynamic Configuration**: Hot-reload configuration changes without downtime
|
||||||
|
- **Web Admin Interface**: Manage your proxy through an intuitive web UI
|
||||||
|
- **Plugin Ecosystem**: Rich plugin support for extended functionality
|
||||||
|
- **Full Version Features**: Includes OpenTelemetry, Sentry, and image compression plugins
|
||||||
|
- **Zero Downtime**: Configuration changes applied without service interruption
|
||||||
|
- **TOML Configuration**: Simple and concise configuration files
|
||||||
|
|
||||||
|
## Quick Start
|
||||||
|
|
||||||
|
1. Copy the environment file and configure it:
|
||||||
|
|
||||||
|
```bash
|
||||||
|
cp .env.example .env
|
||||||
|
```
|
||||||
|
|
||||||
|
2. **IMPORTANT**: Edit `.env` and set a strong password:
|
||||||
|
|
||||||
|
```bash
|
||||||
|
PINGAP_ADMIN_PASSWORD=your-strong-password-here
|
||||||
|
```
|
||||||
|
|
||||||
|
3. Start the service:
|
||||||
|
|
||||||
|
```bash
|
||||||
|
docker compose up -d
|
||||||
|
```
|
||||||
|
|
||||||
|
4. Access the web admin interface at:
|
||||||
|
|
||||||
|
```text
|
||||||
|
http://localhost/pingap/
|
||||||
|
```
|
||||||
|
|
||||||
|
- Default username: `admin`
|
||||||
|
- Password: The one you set in `.env`
|
||||||
|
|
||||||
|
## Configuration
|
||||||
|
|
||||||
|
### Environment Variables
|
||||||
|
|
||||||
|
| Variable | Description | Default |
|
||||||
|
| ---------------------------- | ------------------------------------------ | ------------------- |
|
||||||
|
| `PINGAP_VERSION` | Image version (recommended: `0.12.1-full`) | `0.12.1-full` |
|
||||||
|
| `PINGAP_HTTP_PORT_OVERRIDE` | HTTP port on host | `80` |
|
||||||
|
| `PINGAP_HTTPS_PORT_OVERRIDE` | HTTPS port on host | `443` |
|
||||||
|
| `PINGAP_DATA_DIR` | Data directory for persistent storage | `./pingap` |
|
||||||
|
| `PINGAP_ADMIN_ADDR` | Admin interface address | `0.0.0.0:80/pingap` |
|
||||||
|
| `PINGAP_ADMIN_USER` | Admin username | `admin` |
|
||||||
|
| `PINGAP_ADMIN_PASSWORD` | Admin password (REQUIRED) | - |
|
||||||
|
| `PINGAP_CPU_LIMIT` | CPU limit | `1.0` |
|
||||||
|
| `PINGAP_MEMORY_LIMIT` | Memory limit | `512M` |
|
||||||
|
|
||||||
|
### Image Versions
|
||||||
|
|
||||||
|
- `vicanso/pingap:latest` - Latest development version (not recommended for production)
|
||||||
|
- `vicanso/pingap:full` - Latest development version with all features
|
||||||
|
- `vicanso/pingap:0.12.1` - Stable version without extra dependencies
|
||||||
|
- `vicanso/pingap:0.12.1-full` - **Recommended**: Stable version with OpenTelemetry, Sentry, and image compression
|
||||||
|
|
||||||
|
### Persistent Storage
|
||||||
|
|
||||||
|
Configuration and data are stored in the `PINGAP_DATA_DIR` directory (default: `./pingap`). This directory will be created automatically on first run.
|
||||||
|
|
||||||
|
## Usage
|
||||||
|
|
||||||
|
### Viewing Logs
|
||||||
|
|
||||||
|
```bash
|
||||||
|
docker compose logs -f pingap
|
||||||
|
```
|
||||||
|
|
||||||
|
### Restarting After Configuration Changes
|
||||||
|
|
||||||
|
While Pingap supports hot-reloading for most configuration changes (upstream, location, certificate), changes to server configuration require a restart:
|
||||||
|
|
||||||
|
```bash
|
||||||
|
docker compose restart pingap
|
||||||
|
```
|
||||||
|
|
||||||
|
### Stopping the Service
|
||||||
|
|
||||||
|
```bash
|
||||||
|
docker compose down
|
||||||
|
```
|
||||||
|
|
||||||
|
## Important Notes
|
||||||
|
|
||||||
|
### Security
|
||||||
|
|
||||||
|
- **Always set a strong password** for `PINGAP_ADMIN_PASSWORD`
|
||||||
|
- Change the default admin username if possible
|
||||||
|
- Consider restricting admin interface access to specific IPs
|
||||||
|
- Use HTTPS for the admin interface in production
|
||||||
|
|
||||||
|
### Production Recommendations
|
||||||
|
|
||||||
|
- Use versioned tags (e.g., `0.12.1-full`) instead of `latest` or `full`
|
||||||
|
- Configure appropriate resource limits based on your traffic
|
||||||
|
- Set up proper monitoring and logging
|
||||||
|
- Enable HTTPS with valid certificates
|
||||||
|
- Regular backups of the `pingap` data directory
|
||||||
|
|
||||||
|
### Docker Best Practices
|
||||||
|
|
||||||
|
- The container runs with `--autoreload` flag for hot configuration updates
|
||||||
|
- Avoid using `--autorestart` in Docker as it conflicts with container lifecycle
|
||||||
|
- Use `docker compose restart` for server-level configuration changes
|
||||||
|
|
||||||
|
## Links
|
||||||
|
|
||||||
|
- [Official Website](https://pingap.io/)
|
||||||
|
- [Documentation](https://pingap.io/pingap-zh/docs/docker)
|
||||||
|
- [GitHub Repository](https://github.com/vicanso/pingap)
|
||||||
|
- [Docker Hub](https://hub.docker.com/r/vicanso/pingap)
|
||||||
|
|
||||||
|
## License
|
||||||
|
|
||||||
|
This Docker Compose configuration is provided as-is. Pingap is licensed under the Apache License 2.0.
|
||||||
127
src/pingap/README.zh.md
Normal file
127
src/pingap/README.zh.md
Normal file
@@ -0,0 +1,127 @@
|
|||||||
|
# Pingap
|
||||||
|
|
||||||
|
[English](./README.md)
|
||||||
|
|
||||||
|
基于 Cloudflare Pingora 构建的高性能反向代理，设计为比 Nginx 更高效的替代方案，具有动态配置、热重载功能和直观的 Web 管理界面。
|
||||||
|
|
||||||
|
## 功能特性
|
||||||
|
|
||||||
|
- **高性能**：基于 Cloudflare 的 Pingora 框架，性能卓越
|
||||||
|
- **动态配置**：支持热重载配置更改，无需停机
|
||||||
|
- **Web 管理界面**：通过直观的 Web UI 管理代理服务
|
||||||
|
- **插件生态系统**：丰富的插件支持，可扩展功能
|
||||||
|
- **完整版功能**：包含 OpenTelemetry、Sentry 和图片压缩插件
|
||||||
|
- **零停机时间**：配置变更无需中断服务
|
||||||
|
- **TOML 配置**：简单明了的配置文件格式
|
||||||
|
|
||||||
|
## 快速开始
|
||||||
|
|
||||||
|
1. 复制环境变量文件并进行配置：
|
||||||
|
|
||||||
|
```bash
|
||||||
|
cp .env.example .env
|
||||||
|
```
|
||||||
|
|
||||||
|
2. **重要**：编辑 `.env` 文件，设置强密码：
|
||||||
|
|
||||||
|
```bash
|
||||||
|
PINGAP_ADMIN_PASSWORD=your-strong-password-here
|
||||||
|
```
|
||||||
|
|
||||||
|
3. 启动服务：
|
||||||
|
|
||||||
|
```bash
|
||||||
|
docker compose up -d
|
||||||
|
```
|
||||||
|
|
||||||
|
4. 访问 Web 管理后台：
|
||||||
|
|
||||||
|
```text
|
||||||
|
http://localhost/pingap/
|
||||||
|
```
|
||||||
|
|
||||||
|
- 默认用户名：`admin`
|
||||||
|
- 密码：在 `.env` 中设置的密码
|
||||||
|
|
||||||
|
## 配置说明
|
||||||
|
|
||||||
|
### 环境变量
|
||||||
|
|
||||||
|
| 变量名 | 说明 | 默认值 |
|
||||||
|
| ---------------------------- | ------------------------------- | ------------------- |
|
||||||
|
| `PINGAP_VERSION` | 镜像版本（推荐：`0.12.1-full`） | `0.12.1-full` |
|
||||||
|
| `PINGAP_HTTP_PORT_OVERRIDE` | 主机 HTTP 端口 | `80` |
|
||||||
|
| `PINGAP_HTTPS_PORT_OVERRIDE` | 主机 HTTPS 端口 | `443` |
|
||||||
|
| `PINGAP_DATA_DIR` | 持久化数据目录 | `./pingap` |
|
||||||
|
| `PINGAP_ADMIN_ADDR` | 管理界面地址 | `0.0.0.0:80/pingap` |
|
||||||
|
| `PINGAP_ADMIN_USER` | 管理员用户名 | `admin` |
|
||||||
|
| `PINGAP_ADMIN_PASSWORD` | 管理员密码（必填） | - |
|
||||||
|
| `PINGAP_CPU_LIMIT` | CPU 限制 | `1.0` |
|
||||||
|
| `PINGAP_MEMORY_LIMIT` | 内存限制 | `512M` |
|
||||||
|
|
||||||
|
### 镜像版本
|
||||||
|
|
||||||
|
- `vicanso/pingap:latest` - 最新开发版（不推荐用于生产环境）
|
||||||
|
- `vicanso/pingap:full` - 包含所有功能的最新开发版
|
||||||
|
- `vicanso/pingap:0.12.1` - 不含额外依赖的稳定版
|
||||||
|
- `vicanso/pingap:0.12.1-full` - **推荐**：包含 OpenTelemetry、Sentry 和图片压缩的稳定版
|
||||||
|
|
||||||
|
### 持久化存储
|
||||||
|
|
||||||
|
配置和数据存储在 `PINGAP_DATA_DIR` 目录中（默认：`./pingap`）。该目录将在首次运行时自动创建。
|
||||||
|
|
||||||
|
## 使用方法
|
||||||
|
|
||||||
|
### 查看日志
|
||||||
|
|
||||||
|
```bash
|
||||||
|
docker compose logs -f pingap
|
||||||
|
```
|
||||||
|
|
||||||
|
### 配置更改后重启
|
||||||
|
|
||||||
|
虽然 Pingap 支持大多数配置更改的热重载（upstream、location、certificate），但对 server 配置的更改需要重启：
|
||||||
|
|
||||||
|
```bash
|
||||||
|
docker compose restart pingap
|
||||||
|
```
|
||||||
|
|
||||||
|
### 停止服务
|
||||||
|
|
||||||
|
```bash
|
||||||
|
docker compose down
|
||||||
|
```
|
||||||
|
|
||||||
|
## 重要提示
|
||||||
|
|
||||||
|
### 安全性
|
||||||
|
|
||||||
|
- **务必设置强密码**给 `PINGAP_ADMIN_PASSWORD`
|
||||||
|
- 建议更改默认的管理员用户名
|
||||||
|
- 考虑限制管理界面只能从特定 IP 访问
|
||||||
|
- 生产环境中建议对管理界面启用 HTTPS
|
||||||
|
|
||||||
|
### 生产环境建议
|
||||||
|
|
||||||
|
- 使用带版本号的标签（如 `0.12.1-full`），而非 `latest` 或 `full`
|
||||||
|
- 根据流量情况配置适当的资源限制
|
||||||
|
- 设置适当的监控和日志记录
|
||||||
|
- 启用 HTTPS 并使用有效证书
|
||||||
|
- 定期备份 `pingap` 数据目录
|
||||||
|
|
||||||
|
### Docker 最佳实践
|
||||||
|
|
||||||
|
- 容器使用 `--autoreload` 标志以支持配置热更新
|
||||||
|
- 避免在 Docker 中使用 `--autorestart`，因为它与容器生命周期冲突
|
||||||
|
- 对于服务器级别的配置更改，使用 `docker compose restart`
|
||||||
|
|
||||||
|
## 相关链接
|
||||||
|
|
||||||
|
- [官方网站](https://pingap.io/)
|
||||||
|
- [文档](https://pingap.io/pingap-zh/docs/docker)
|
||||||
|
- [GitHub 仓库](https://github.com/vicanso/pingap)
|
||||||
|
- [Docker Hub](https://hub.docker.com/r/vicanso/pingap)
|
||||||
|
|
||||||
|
## 许可证
|
||||||
|
|
||||||
|
本 Docker Compose 配置按原样提供。Pingap 基于 Apache License 2.0 许可证。
|
||||||
44
src/pingap/docker-compose.yaml
Normal file
44
src/pingap/docker-compose.yaml
Normal file
@@ -0,0 +1,44 @@
|
|||||||
|
# Docker Compose for Pingap - High-performance reverse proxy
|
||||||
|
# https://pingap.io/
|
||||||
|
|
||||||
|
x-defaults: &defaults
|
||||||
|
restart: unless-stopped
|
||||||
|
logging:
|
||||||
|
driver: json-file
|
||||||
|
options:
|
||||||
|
max-size: 100m
|
||||||
|
max-file: "3"
|
||||||
|
|
||||||
|
services:
|
||||||
|
pingap:
|
||||||
|
<<: *defaults
|
||||||
|
image: ${GLOBAL_REGISTRY:-}vicanso/pingap:${PINGAP_VERSION:-0.12.1-full}
|
||||||
|
container_name: ${PINGAP_CONTAINER_NAME:-}
|
||||||
|
ports:
|
||||||
|
- "${PINGAP_HTTP_PORT_OVERRIDE:-80}:80"
|
||||||
|
- "${PINGAP_HTTPS_PORT_OVERRIDE:-443}:443"
|
||||||
|
volumes:
|
||||||
|
- ${PINGAP_DATA_DIR:-./pingap}:/opt/pingap
|
||||||
|
environment:
|
||||||
|
- TZ=${TZ:-UTC}
|
||||||
|
- PINGAP_CONF=/opt/pingap/conf
|
||||||
|
- PINGAP_ADMIN_ADDR=${PINGAP_ADMIN_ADDR:-0.0.0.0:80/pingap}
|
||||||
|
- PINGAP_ADMIN_USER=${PINGAP_ADMIN_USER:-admin}
|
||||||
|
- PINGAP_ADMIN_PASSWORD=${PINGAP_ADMIN_PASSWORD:?PINGAP_ADMIN_PASSWORD must be set}
|
||||||
|
command:
|
||||||
|
- pingap
|
||||||
|
- --autoreload
|
||||||
|
healthcheck:
|
||||||
|
test: ["CMD", "wget", "--spider", "-q", "http://localhost:80/pingap/"]
|
||||||
|
interval: 30s
|
||||||
|
timeout: 10s
|
||||||
|
retries: 3
|
||||||
|
start_period: 10s
|
||||||
|
deploy:
|
||||||
|
resources:
|
||||||
|
limits:
|
||||||
|
cpus: ${PINGAP_CPU_LIMIT:-1.0}
|
||||||
|
memory: ${PINGAP_MEMORY_LIMIT:-512M}
|
||||||
|
reservations:
|
||||||
|
cpus: ${PINGAP_CPU_RESERVATION:-0.5}
|
||||||
|
memory: ${PINGAP_MEMORY_RESERVATION:-256M}
|
||||||
Reference in New Issue
Block a user