mirror of
https://github.com/dograh-hq/dograh.git
synced 2026-06-28 08:49:42 +02:00
feat: add FASTAPI_WORKERS parameter
This commit is contained in:
Abhishek Kumar
parent
7c0015917d
commit
ac474578d5
5 changed files with 123 additions and 23 deletions
|
|
@ -6,7 +6,7 @@ description: "Deploy Dograh AI using Docker for local development and remote ser
|
|||
Dograh AI can be deployed using Docker in two main configurations. Choose the option that best fits your needs:
|
||||
|
||||
- **Option 1**: For local development and testing on your own machine
|
||||
- **Option 2**: For remote server deployment with HTTPS (using IP address)
|
||||
- **Option 2**: For remote server deployment with HTTPS (using IP address). If you also have a custom domain, you can first deploy Dograh stack on your server using steps in this document and then proceed to the [Custom Domain](deployment/custom-domain) section.
|
||||
|
||||
## Option 1: Local Docker Deployment
|
||||
|
||||
|
|
@ -52,7 +52,7 @@ The Quick Start above relies on direct peer-to-peer WebRTC between your browser
|
|||
|
||||
- The call connects but no audio flows in either direction
|
||||
- The browser console reports `iceConnectionState: failed`
|
||||
- You are testing from a phone or another device on your LAN against the laptop running Docker
|
||||
- You are testing from a browser on your smartphone or another device on your LAN against the laptop running Docker
|
||||
- A VPN, corporate firewall, or strict NAT sits between the browser and Docker
|
||||
|
||||
For these cases, use the alternate local setup script which configures a coturn TURN server alongside the rest of the stack:
|
||||
|
|
@ -90,17 +90,17 @@ Watch the video tutorial below for a step-by-step walkthrough of deploying Dogra
|
|||
allowFullScreen
|
||||
></iframe>
|
||||
|
||||
Deploy Dograh AI on a remote server to make it accessible from anywhere using your server's IP address. This setup includes HTTPS support via nginx reverse proxy with self-signed certificates. We need to serve the application over HTTPS, since modern browsers only allow microphone permissions for websites being served over HTTPS.
|
||||
Deploy Dograh AI on a remote server to make it accessible from anywhere using your server's IP address. This setup includes HTTPS support via nginx reverse proxy with self-signed certificates. **We need to serve the application over HTTPS, since modern browsers only allow microphone permissions for websites being served over HTTPS**.
|
||||
|
||||
**We highly recommend you set up the platform on a fresh server, so that there are less chances of confliciting dependencies, and ports from other applications.**
|
||||
<Warning>We highly recommend you set up the platform on a fresh server, so that there are less chances of confliciting dependencies, and ports from other applications.</Warning>
|
||||
|
||||
### Prerequisites
|
||||
|
||||
- A server with Docker and Docker Compose installed. It should have minimum of 8 GB RAM and 4 vCPUs.
|
||||
- Public IP address for your server
|
||||
- Public IP address for your server. You can also access the server using a local IP address in your VPC as long as its reachable from your browser.
|
||||
- TCP Ports 80, 443, 3478, 5349 and UDP Ports 3478, 5349 and 49152:49200 reachable from Internet (Port 80 and 443 to access the UI and rest of the ports for WebRTC Signaling)
|
||||
|
||||
<Note>Please refer to your server hosting provider's documentaion on how you can open these ports in the firewall of the server.</Note>
|
||||
<Note>IMPORTANT: Please double check the ports on your firewall. Please refer to your server hosting provider's documentaion on how you can open these ports in the firewall of the server.</Note>
|
||||
|
||||
### Quick Setup
|
||||
|
||||
|
|
@ -141,7 +141,7 @@ sudo docker compose --profile remote up -d --build
|
|||
```
|
||||
</CodeGroup>
|
||||
|
||||
First boot in build mode takes several minutes — Docker has to build both the API and UI images before the stack comes up.
|
||||
First boot in build mode takes several minutes — Docker has to build both the API and UI images before the stack comes up.
|
||||
|
||||
### Access Your Application
|
||||
|
||||
|
|
@ -190,14 +190,57 @@ In this mode the script:
|
|||
2. If you run the script from inside an existing dograh checkout, offers to use that checkout instead of cloning.
|
||||
3. Generates a `docker-compose.override.yaml` next to `docker-compose.yaml` that swaps the `image:` directives for local `build:` directives. Docker Compose auto-loads the override file — you don't need to pass any `-f` flags.
|
||||
|
||||
After editing `api/` or `ui/` code, rebuild and restart the affected service:
|
||||
#### Updating after a code change
|
||||
|
||||
Whenever the codebase changes — a `git pull`, a local edit, or a submodule bump — rebuild the `api` and `ui` images and recreate the running containers so they pick up the new code.
|
||||
|
||||
**TL;DR (rebuilds both services and restarts in one shot):**
|
||||
|
||||
```bash
|
||||
cd dograh
|
||||
sudo docker compose --profile remote build api # or ui
|
||||
sudo docker compose --profile remote up -d --build
|
||||
```
|
||||
|
||||
`--build` rebuilds any service whose `build:` context has changed (both `api` and `ui` are wired through the `docker-compose.override.yaml` written by `setup_remote.sh`), and `up -d` recreates the affected containers so they run off the new image.
|
||||
|
||||
**Step-by-step** — use this when you're pulling fresh code from a remote, or want to be explicit:
|
||||
|
||||
```bash
|
||||
cd dograh
|
||||
|
||||
# 1. Pull the latest source.
|
||||
git pull
|
||||
git submodule update --init --recursive # picks up pipecat submodule bumps
|
||||
|
||||
# 2. Rebuild both images.
|
||||
sudo docker compose --profile remote build api ui
|
||||
|
||||
# 3. Recreate the running containers so they use the new images.
|
||||
sudo docker compose --profile remote up -d
|
||||
```
|
||||
|
||||
<Warning>If you update `pipecat` submodule, you must do `git submodule update --init --recursive`, or the Docker build step will not pick up `pipecat` changes</Warning>
|
||||
|
||||
**Rebuild a single service** — faster when you only changed one side:
|
||||
|
||||
```bash
|
||||
sudo docker compose --profile remote build api # or: build ui
|
||||
sudo docker compose --profile remote up -d api # or: up -d ui
|
||||
```
|
||||
|
||||
**Force a clean rebuild** — needed when a base image changed, a `pip install` was added, or you suspect a stale layer:
|
||||
|
||||
```bash
|
||||
sudo docker compose --profile remote build --no-cache api ui
|
||||
sudo docker compose --profile remote up -d
|
||||
```
|
||||
|
||||
**Verify the containers were actually recreated** — check the `CREATED` column shows a recent timestamp, not minutes/hours ago:
|
||||
|
||||
```bash
|
||||
sudo docker compose --profile remote ps
|
||||
```
|
||||
|
||||
To revert to pulling official images, delete `docker-compose.override.yaml` and start the stack with `--pull always` as in the [prebuilt flow](#start-the-application).
|
||||
|
||||
<Note>
|
||||
|
|
|
|||
|
|
@ -1,11 +1,10 @@
|
|||
---
|
||||
title: "Introduction"
|
||||
description: "Open-source alternative to Vapi - build voice AI agents with full control & transparency"
|
||||
---
|
||||
|
||||
## About Dograh
|
||||
|
||||
**Dograh is an open-source alternative to Vapi** - Dograh helps you build voice AI agents with an easy drag-and-drop workflow builder. Unlike proprietary solutions like Vapi, Dograh gives you:
|
||||
**Dograh is an open-source alternative to platforms like Vapi and Retell** - Dograh helps you build voice AI agents with an easy drag-and-drop workflow builder. Unlike proprietary solutions like Vapi, Dograh gives you:
|
||||
- **100% open source** - no vendor lock-in, full transparency
|
||||
- **Self-hostable** - deploy anywhere, own your infrastructure
|
||||
- **Complete control** - every line of code is open and customizable
|
||||
|
|
@ -25,7 +24,7 @@ Watch the following video to learn about Dograh’s capabilities.
|
|||
|
||||
## Setting up
|
||||
|
||||
Get the platform up and running using Docker with a single command on your local computer. If you are looking to deploy the platform on a server, please check the [Deployment](deployment/introduction) section.
|
||||
Get the platform up and running using Docker with a single command on your local computer. If you are looking to deploy the platform on a server different than your local machine, please check the [Deployment](deployment/introduction) section.
|
||||
|
||||
<Note>We collect anonymous usage data to improve the product. You can opt out by setting the `ENABLE_TELEMETRY` to `false` in the below command.</Note>
|
||||
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue