graduate localai, add ollama
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podman/graduated/localai/README.md
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podman/graduated/localai/README.md
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# Local AI with Anything LLM
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<https://github.com/Mintplex-Labs/anything-llm/blob/master/docker/HOW_TO_USE_DOCKER.md>
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<https://localai.io/>
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## Running with Podman
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This installs both Local AI and Anything LLM as backend/frontend services.
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```bash
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podman network create localai
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# Local AI
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podman run \
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-d \
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-p 127.0.0.1:8080:8080 \
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--network localai \
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--name local-ai \
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-v /models:/build/models \
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quay.io/go-skynet/local-ai:latest-cpu
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# Anything LLM Interface
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export STORAGE_LOCATION=/anything-llm && \
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mkdir -p $STORAGE_LOCATION && \
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touch "$STORAGE_LOCATION/.env" && \
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chown -R 1000:1000 $STORAGE_LOCATION && \
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podman run \
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-d \
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-p 127.0.0.1:3001:3001 \
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--name anything-llm \
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--network localai \
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--cap-add SYS_ADMIN \
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-v ${STORAGE_LOCATION}:/app/server/storage \
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-v ${STORAGE_LOCATION}/.env:/app/server/.env \
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-e STORAGE_DIR="/app/server/storage" \
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mintplexlabs/anythingllm
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```
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### Quadlets with Podlet
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```bash
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podman run --rm ghcr.io/containers/podlet --install --description "Local AI Network" \
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podman network create localai
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podman run --rm ghcr.io/containers/podlet --install --description "Local AI" \
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podman run \
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-d \
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-p 127.0.0.1:8080:8080 \
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--network localai \
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--name local-ai \
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-v /models:/build/models \
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quay.io/go-skynet/local-ai:latest-cpu
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export STORAGE_LOCATION=/anything-llm && \
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podman run --rm ghcr.io/containers/podlet --install --description "Anything LLM" \
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podman run \
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-d \
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-p 127.0.0.1:3001:3001 \
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--name anything-llm \
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--network localai \
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--cap-add SYS_ADMIN \
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-v ${STORAGE_LOCATION}:/app/server/storage \
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-v ${STORAGE_LOCATION}/.env:/app/server/.env \
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-e STORAGE_DIR="/app/server/storage" \
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mintplexlabs/anythingllm
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```
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Make sure to add
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```conf
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[Service]
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Restart=always
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```
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To the service to have them autostart.
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Put the generated files in `/usr/share/containers/systemd/`.
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## Models
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Example configs can be found here:
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<https://github.com/mudler/LocalAI/tree/9099d0c77e9e52f4a63c53aa546cc47f1e0cfdb1/gallery>
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### Config
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```yaml
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name: llama-3.2
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parameters:
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model: huggingface/Llama-3.2-3B-Instruct-f16.gguf
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temperature: 0.6
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backend: llama-cpp
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# Default context size
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context_size: 8192
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threads: 16
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```
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### Chat
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llama-3.2-3b-instruct:q8_0
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### Code
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<https://huggingface.co/bartowski/Codestral-22B-v0.1-GGUF/tree/main>
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### Agent
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llama-3.2-3b-instruct:q8_0
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## Podman systemd service
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See [generating AWS credentials](cloud/graduated/aws_iam/README.md)
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```bash
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curl "https://awscli.amazonaws.com/awscli-exe-linux-x86_64.zip" -o "awscliv2.zip"
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unzip awscliv2.zip
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./aws/install
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# Configure default credentials
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aws configure
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```
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Open http/s in firewalld:
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```bash
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firewall-cmd --permanent --zone=public --add-service=http
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firewall-cmd --permanent --zone=public --add-service=https
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firewall-cmd --reload
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```
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Here are the detailed instructions for installing and setting up Nginx on Fedora Linux with Certbot
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using the Route53 DNS challenge to put in front of a service called "Anything LLM" running on port
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3001 with WebSockets. The domain will be chatreesept.reeseapps.com.
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1. Install Nginx:
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```
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dnf install -y nginx
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```
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2. Start and enable Nginx service:
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```
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systemctl enable --now nginx
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```
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3. Install Certbot and the Route53 DNS plugin:
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```
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dnf install -y certbot python3-certbot-dns-route53
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```
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4. Request a certificate for your domain using the Route53 DNS challenge:
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```
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certbot certonly --dns-route53 -d chatreesept.reeseapps.com
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```
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Follow the prompts to provide your Route53 credentials and email address.
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5. Configure Nginx for your domain: Create a new Nginx configuration file for your domain:
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```
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vim /etc/nginx/conf.d/chatreesept.reeseapps.com.conf
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```
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Add the following configuration to the file:
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```
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keepalive_timeout 1h;
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send_timeout 1h;
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client_body_timeout 1h;
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client_header_timeout 1h;
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proxy_connect_timeout 1h;
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proxy_read_timeout 1h;
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proxy_send_timeout 1h;
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server {
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listen 80;
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server_name chatreesept.reeseapps.com;
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location / {
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return 301 https://$host$request_uri;
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}
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}
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server {
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listen 443 ssl;
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server_name chatreesept.reeseapps.com;
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ssl_certificate /etc/letsencrypt/live/chatreesept.reeseapps.com/fullchain.pem;
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ssl_certificate_key /etc/letsencrypt/live/chatreesept.reeseapps.com/privkey.pem;
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location / {
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client_max_body_size 50m;
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proxy_pass http://localhost:3001;
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proxy_http_version 1.1;
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proxy_set_header Upgrade $http_upgrade;
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proxy_set_header Connection "upgrade";
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proxy_set_header Host $host;
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proxy_cache_bypass $http_upgrade;
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}
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}
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```
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6. Test your Nginx configuration for syntax errors:
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```
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nginx -t
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```
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If there are no errors, reload Nginx to apply the changes:
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```
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systemctl reload nginx
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```
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7. Set up automatic certificate renewal: Add the following line to your crontab to renew the
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certificate daily:
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```
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sudo crontab -e
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```
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Add the following line to the end of the file:
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```
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0 0 * * * certbot renew --quiet --no-self-upgrade --pre-hook "systemctl stop nginx" --post-hook "systemctl start nginx"
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```
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Now, your "Anything LLM" service running on port 3001 with WebSockets is accessible through the
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domain chatreesept.reeseapps.com with a valid SSL certificate from Let's Encrypt. The certificate
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will be automatically renewed daily.
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## Nginx
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```bash
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certbot-3 certonly --dns-route53 -d chatreesept.reeseapps.com
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```
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Make sure to add the following timeout configurations to your http block:
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```conf
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server {
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# Enable websocket connections for agent protocol.
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location ~* ^/api/agent-invocation/(.*) {
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proxy_pass http://0.0.0.0:3001;
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proxy_http_version 1.1;
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proxy_set_header Upgrade $http_upgrade;
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proxy_set_header Connection "Upgrade";
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}
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listen 80;
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server_name [insert FQDN here];
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location / {
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# Prevent timeouts on long-running requests.
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proxy_connect_timeout 605;
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proxy_send_timeout 605;
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proxy_read_timeout 605;
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send_timeout 605;
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keepalive_timeout 605;
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# Enable readable HTTP Streaming for LLM streamed responses
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proxy_buffering off;
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proxy_cache off;
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# Proxy your locally running service
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proxy_pass http://0.0.0.0:3001;
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}
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}
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```
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