From adbb47419a4946f5576cec061e5f27038ab0ddb8 Mon Sep 17 00:00:00 2001 From: oiclid <1678413+oiclid@users.noreply.github.com> Date: Sat, 27 Jul 2024 12:43:59 +0100 Subject: [PATCH 01/29] first commit --- src/content/Docs/guides/index.md | 7 +++++++ 1 file changed, 7 insertions(+) create mode 100644 src/content/Docs/guides/index.md diff --git a/src/content/Docs/guides/index.md b/src/content/Docs/guides/index.md new file mode 100644 index 00000000..15fa38bf --- /dev/null +++ b/src/content/Docs/guides/index.md @@ -0,0 +1,7 @@ +--- +categories: ["Guides"] +tags: ["Deployment"] +weight: 1 +title: "AkashOS" +linkTitle: "AkashOS" +--- \ No newline at end of file From ca28b712eea806e3e352574d78ca1281f7fea917 Mon Sep 17 00:00:00 2001 From: oiclid <1678413+oiclid@users.noreply.github.com> Date: Sat, 27 Jul 2024 13:19:17 +0100 Subject: [PATCH 02/29] finsihed 'akashos' --- src/content/Docs/_sequence.ts | 1 + src/content/Docs/assets/akashos.png | Bin 0 -> 22213 bytes src/content/Docs/guides/index.md | 131 +++++++++++++++++++++++++++- 3 files changed, 131 insertions(+), 1 deletion(-) create mode 100644 src/content/Docs/assets/akashos.png diff --git a/src/content/Docs/_sequence.ts b/src/content/Docs/_sequence.ts index 233e1b64..9b381cdc 100644 --- a/src/content/Docs/_sequence.ts +++ b/src/content/Docs/_sequence.ts @@ -64,6 +64,7 @@ export const docsSequence = [ { label: "Unstoppable Web 2.0" }, { label: "Multi-Tiered Deployment" }, { label: "Helium Validator" }, + { label: "AkashOS"}, ], }, { diff --git a/src/content/Docs/assets/akashos.png b/src/content/Docs/assets/akashos.png new file mode 100644 index 0000000000000000000000000000000000000000..9abe33e6a131d662a3c30f0b35584d2af8a7dc13 GIT binary patch literal 22213 zcmeEuWl&sEvn?{g9Rh>9+u$z2-3jjQ?w-I9+$Csmf(LgG?jGFT32txl-Fxf(e}CSe zJ9Va}YU<26XZP;CdiCnw6QQCcjfzBo1O)|!Dk~$Q1_cFu4|y9Qz(KxI=MO7{d;r|U zWHk^VFMkB{Z%|NVP_h!AG`tPZIuN~yet&=8nCD2eA7vNjjiwH1Mwb<)`fk<|iaxw9 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zrT<;6<3KMHhsK^d&0Kgh?p<S>R74M&Mt7**!r9fGaCHhhAQOtQwh7j(3h%h=wj+^)8HmvweL>Si#Q}Dq;KEVM zFn~T?)HAeDGL3y&TD%+;J#$eVBnz5A@R;fmk%^3wxDwlAXaIWY=y%W>K|N_hyQlqa$HlpoBwHe=(1k@ioYPOtxy+_v4{c--m=;wM}KzUNMw-BTAzmQbBp< z(UlvA0Lj6GgZCVR6&8L&-tFM0Ib5X}4 z3Pq`s#zO9fcFAf|3QI>2j`ZE!&ySF)CuT}p-a8g{$*wFXkFpcp}fM)Hu94=`ZwtBrO%c(3t&*jq-tOwIVL9{IBD zRqVU6l-OY5bq2<%`s&mwP+exut!O5M6%g>Ki9VDnxqmJ-o#x-9E+E0QjM{em1~5w4 zub-eiPd#%Sq+f#8JQ7YDU%Yr8CoG^63jzYQIYEd;2&nhj4A)T@wO`FZntZthw)7M7 z&K7E|FGPLfQifglV1C|7jQMFU^>5yu4yZ9eXZkw9E`To{HBem7aPB10 Date: Sat, 27 Jul 2024 13:54:14 +0100 Subject: [PATCH 03/29] organized 'praetor-app' in _sequence.ts --- src/content/Docs/_sequence.ts | 17 +++++++++++++- .../Docs/guides/{ => akashos}/index.md | 22 ++++++++++--------- 2 files changed, 28 insertions(+), 11 deletions(-) rename src/content/Docs/guides/{ => akashos}/index.md (87%) diff --git a/src/content/Docs/_sequence.ts b/src/content/Docs/_sequence.ts index 9b381cdc..a223be88 100644 --- a/src/content/Docs/_sequence.ts +++ b/src/content/Docs/_sequence.ts @@ -47,7 +47,20 @@ export const docsSequence = [ }, { label: "Praetor App", - subItems: [{ label: "What is Praetor App?" }], + subItems: [ + { label: "What is Praetor App?"}, + { label: "Akash Provider", + subItems: [ + { label: "Build a Cloud Provider"}, + { label: "Existing Kubernetes Cluster"}, + { label: "Single Server Provider"}, + { label: "Build a Cloud Provider (Windows Machine)"}, + { label: "Sudo User Requirements"}, + { label: "Decommission a Provider"} + ] + } + ], + }, { label: "Sandbox", subItems: [{ label: "Sandbox Introduction" }] }, { label: "Stable Payment Deployments" }, @@ -64,6 +77,8 @@ export const docsSequence = [ { label: "Unstoppable Web 2.0" }, { label: "Multi-Tiered Deployment" }, { label: "Helium Validator" }, + { label: "Ruby on Rails with Sia and Auth0"}, + {label: "PostgreSQL restore/backup"}, { label: "AkashOS"}, ], }, diff --git a/src/content/Docs/guides/index.md b/src/content/Docs/guides/akashos/index.md similarity index 87% rename from src/content/Docs/guides/index.md rename to src/content/Docs/guides/akashos/index.md index 574d41ac..0449255d 100644 --- a/src/content/Docs/guides/index.md +++ b/src/content/Docs/guides/akashos/index.md @@ -8,7 +8,7 @@ linkTitle: "AkashOS" ## AkashOS: Akash Provider OS - Ubuntu Server 24.04 Edition -![image](/docs/assets/akashos.png) +![](/docs/assets/akashos.png) Welcome to AkashOS, an innovative solution for those aspiring to become a provider within the Akash Network. By utilizing Autoinstall and cloud-init, AkashOS offers a seamless, unattended installation of Ubuntu Server. It autonomously establishes a Kubernetes cluster and deploys Helm charts to configure the system as an Akash Network provider. @@ -18,15 +18,17 @@ After installation, users can configure the provider via a user-friendly Dashboa Start your journey as a provider with a minimal investment of 25 AKT, valued at $75 at the time of writing. Explore unlimited earning possibilities within the Akash Network. -- 🧮 Estimate Your Earnings: Curious about what your hardware could be earning? Check out the [Akash Calculator](https://akashcalcualtor.com)! -Akash Dash: Discover real-time earnings of existing providers on the Akash Network. -🛠 Quick & Easy Setup! -Download and attach the latest AkashOS Release ISO to your chosen hardware: Bare-Metal, VPS, or Virtual Machine. -Watch it transform into a provider on the Akash Network! -💡 Why AkashOS? -Streamlined & Automated: Effortlessly install Ubuntu Server and configure your system with our automated setup. -Infinite Earnings: Unlock unparalleled earning potential as a provider. -Versatile Application: Compatible with various setups, ensuring everyone can join. +- 🧮 **Estimate Your Earnings:** Curious about what your hardware could be earning? Check out the [Akash Calculator](https://akashcalcualtor.com)! +- 📊 **Explore Existing Provider Earnings:** Discover what existing providers are earning in real-time on the Akash Network at [Akash Dash](https://akashdash.com). + + +## 🛠 Quick & Easy Setup! +Download and attach the latest AkashOS Release ISO to your chosen hardware: Bare-Metal, VPS, or Virtual Machine. and watch it transform into a provider on the Akash Network! + +## 💡 Why AkashOS? +- **Streamlined & Automated:** Effortlessly install Ubuntu Server and configure your system with this automated setup. +- **Infinite Earnings:** Unlock unparalleled earning potential as a provider. +- **Versatile Application:** Compatible with various setups, ensuring everyone can join. What is this image best used for? You can use this image to take over any x86 machine or virtual machine that you want to configure as a provider on the Akash Network. From c008aea72339ed2140fc0f98a77b79c07d63213c Mon Sep 17 00:00:00 2001 From: oiclid <1678413+oiclid@users.noreply.github.com> Date: Sat, 27 Jul 2024 15:30:24 +0100 Subject: [PATCH 04/29] done with 'akashos' --- src/content/Docs/_sequence.ts | 9 +- src/content/Docs/guides/akashos/index.md | 213 +++++++++++++---------- 2 files changed, 128 insertions(+), 94 deletions(-) diff --git a/src/content/Docs/_sequence.ts b/src/content/Docs/_sequence.ts index a223be88..09dee11c 100644 --- a/src/content/Docs/_sequence.ts +++ b/src/content/Docs/_sequence.ts @@ -56,11 +56,10 @@ export const docsSequence = [ { label: "Single Server Provider"}, { label: "Build a Cloud Provider (Windows Machine)"}, { label: "Sudo User Requirements"}, - { label: "Decommission a Provider"} - ] - } - ], - + { label: "Decommission a Provider"}, + ], + }, + ], }, { label: "Sandbox", subItems: [{ label: "Sandbox Introduction" }] }, { label: "Stable Payment Deployments" }, diff --git a/src/content/Docs/guides/akashos/index.md b/src/content/Docs/guides/akashos/index.md index 0449255d..d9f6a242 100644 --- a/src/content/Docs/guides/akashos/index.md +++ b/src/content/Docs/guides/akashos/index.md @@ -6,9 +6,9 @@ title: "AkashOS" linkTitle: "AkashOS" --- -## AkashOS: Akash Provider OS - Ubuntu Server 24.04 Edition +# AkashOS: Akash Provider OS - Ubuntu Server 24.04 Edition -![](/docs/assets/akashos.png) +![](../../assets/akashos.png) Welcome to AkashOS, an innovative solution for those aspiring to become a provider within the Akash Network. By utilizing Autoinstall and cloud-init, AkashOS offers a seamless, unattended installation of Ubuntu Server. It autonomously establishes a Kubernetes cluster and deploys Helm charts to configure the system as an Akash Network provider. @@ -29,95 +29,128 @@ Download and attach the latest AkashOS Release ISO to your chosen hardware: Bare - **Streamlined & Automated:** Effortlessly install Ubuntu Server and configure your system with this automated setup. - **Infinite Earnings:** Unlock unparalleled earning potential as a provider. - **Versatile Application:** Compatible with various setups, ensuring everyone can join. -What is this image best used for? + +## What is this image best used for? + You can use this image to take over any x86 machine or virtual machine that you want to configure as a provider on the Akash Network. -Target Audience for this ISO -Hypervisor (Proxmox/VMware) -Homelab -Unraid/TrueNas -DevOps/SRE/Kubernetes Admins -Full stack developers -Installation Difficulty Level -Medium (terminal experience required) -Human Dependencies: ~30 minutes -Acquire at least 50 AKT -Add DNS records -Forward ports -Software Dependencies: ~30 minutes -Install Akash OS -Configure Pricing -Dependencies -Human Requirements -Be ready to run workloads for dWeb. Understand what you are getting into and be prepared to learn. -Docker and Kubernetes experience will greatly help you, learn all you can. -With great power comes great responsibility. Be aware of the risks and use Lens to monitor your cluster. -Report any abuse, DDoS, spam, or other issues to the Akash team. -Software Requirements -Domain name (example.com) that you own and can manage DNS records. -50 AKT to send to the new provider wallet. -Access to your firewall/router for port forwarding. -Lens - Recommended for cluster daily operations; you'll need this to interact with your new cluster. -Balena Etcher, Rufus, or Ventoy for creating bootable USB drives on Linux, Mac, PC. -Dynamic DNS update client and domain for residential IPs. -Hardware Requirements -First Node -2 CPU / 4 Threads -8 GB Memory -64 GB Disk -Additional Nodes -1 CPU -2 GB Memory -8 GB Disk -Setup Instructions -Proxmox / VirtualBox / VMware -Download Akash OS ISO. -Create VM - Attach a disk drive with the ISO. -Start the VM. -Reboot when the install is completed and detach the ISO. -Login with default username and password "akash", follow the on-screen instructions. -Once the system has rebooted, go to the Control Panel address. -Update the provider attributes with the recommended values and click Save. -Click STOP next to Provider. -Click Re-Deploy Provider Button. -Send at least 5 AKT to the new wallet address to start the provider. -Click Download Kubeconfig and import it into Lens. Set the Namespace to "All" to see everything. -Bare Metal Datacenter with IPMI/ISO Support -Download Akash OS ISO. -Upload the ISO to the datacenter ISO storage location (Vultr/HostHatch/etc) or attach the ISO to your IPMI Virtual Console Session. -Start the machine with the ISO for the boot drive (F11 may be required). -Reboot when the install is completed and detach the ISO. -Login with default username and password "akash", follow the on-screen instructions. -Once the system has rebooted, go to the Control Panel address. -Update the provider attributes with the recommended values and click Save. -Click STOP next to Provider. -Click Re-Deploy Provider Button. -Send at least 5 AKT to the new wallet address to start the provider. -Click Download Kubeconfig and import it into Lens. Set the Namespace to "All" to see everything. -USB Key -Download Akash OS ISO. -Use Balena Etcher / Rufus / Ventoy to write the ISO to a USB key. -Insert the USB key into the computer you want to make an Akash provider. -Start the machine with the USB key for the boot drive (F11 may be required). -Reboot when the install is completed and unplug the USB key. -Login with default username and password "akash", follow the on-screen instructions. -Once the system has rebooted, go to the Control Panel address. -Update the provider attributes with the recommended values and click Save. -Click STOP next to Provider. -Click Re-Deploy Provider Button. -Send at least 5 AKT to the new wallet address to start the provider. -Click Download Kubeconfig and import it into Lens. Set the Namespace to "All" to see everything. -Todos -When changing pricing parameters, delete the configmap akash-provider-bidscripts from akash-services before re-deploying. -Remove the static/dynamic question during the initial boot as it confuses the user. -Show nodes in the cluster on the Dashboard with kubectl get nodes -A -o wide. -Allow adding a new node to the cluster with just an IP address. -Remove the question for adding a node to the cluster for the original IP; all add/remove operations should happen from the Dashboard only. -Update run-helm-k3s to use functions so each can be called separately. -Update the bid-engine script with the latest version. -Add/Remove Attributes from Dashboard and default GPU, etc. +## Target Audience for this ISO + +You should be familiar with at least one of the following: + +1. Hypervisor (Proxmox/VMware) +2. Homelab +3. Unraid/TrueNas +4. DevOps/SRE/Kubernetes Administration +4. Full-stack development + +## Installation Difficulty Level + +### Medium (terminal experience required) + +Human requirements, estimated time: ~30 minutes + +- Acquire at least 50 AKT +- Add DNS records +- Forward ports + +Software requirements, estimated time: ~30 minutes + +- Install [AkashOS](https://github.com/cryptoandcoffee/akashos/releases) +- Configure Pricing + +## Dependencies + +### Human Requirements + +1. Be ready to run workloads for dWeb. Understand what you are getting into and be prepared to learn. +2. Docker and Kubernetes experience will greatly help you, learn all you can. +3. With great power comes great responsibility. Be aware of the risks and use [Lens](https://k8slens.dev/) to monitor your cluster. +4. Report any offending wallet if you experience any abuse, DDoS, spam, or other issues to [Akash](https://discord.akash.network/). + +### Software Requirements + +1. Domain name (example.com) that you own and can manage DNS records. +2. 50 AKT to send to the new provider's wallet. +3. Access to your firewall/router for port forwarding. +4. [Lens](https://k8slens.dev/) - Recommended for cluster daily operations; you'll need this to interact with your new cluster. +5. One of [Balena Etcher](https://www.balena.io/etcher/), [Rufus](https://rufus.ie/), or [Ventoy](https://www.ventoy.net/en/index.html) for creating bootable USB drives on Linux, Mac, PC. +6. Dynamic DNS update client and domain for residential IPs. + +### Minimum Hardware Requirements +**First Node** + +- 2 CPU / 4 Threads +- 8 GB Memory +- 64 GB Disk + +**Additional Nodes** + +- 1 CPU +- 2 GB Memory +- 8 GB Disk + +### Setup Instructions + +**Proxmox / VirtualBox / VMware** + +1. Download the [AkashOS ISO](https://github.com/cryptoandcoffee/akashos/releases). +2. Create VM - Attach a disk drive with the ISO. +3. Start the VM. +4. Reboot when the install is completed and detach the ISO. +5. Login with default username and password (both of which are `akash`) and then follow the on-screen instructions. +6. Once the system has rebooted, go to the Control Panel. +7. Update the provider attributes with the recommended values and click Save. +8. Click STOP next to Provider. +9. Click "Re-Deploy Provider" Button. +10. Send at least 5 AKT to the new wallet address to start the provider. +11. Click Download Kubeconfig and import it into Lens. Set the Namespace to "All" to see everything. + + +**Bare Metal Datacenter with IPMI/ISO Support** + +1. Download the [AkashOS ISO](https://github.com/cryptoandcoffee/akashos/releases). +2. Upload the ISO to the datacenter ISO storage location (Vultr/HostHatch/etc) or attach the ISO to your IPMI Virtual Console Session. +3. Start the machine with the ISO for the boot drive (F11 may be required). +4. Reboot when the install is completed and detach the ISO. +5. Login with default username and password (both of which are `akash`) and then follow the on-screen instructions. +6. Once the system has rebooted, go to the Control Panel. +7. Update the provider attributes with the recommended values and click Save. +8. Click STOP next to Provider. +9. Click "Re-Deploy Provider" Button. +10. Send at least 5 AKT to the new wallet address to start the provider. +11. Click "Download Kubeconfig" and import it into Lens. Set the Namespace to "All" to see everything. + +**USB Key** + +1. Download the [AkashOS ISO](https://github.com/cryptoandcoffee/akashos/releases). +2. Use one of [Balena Etcher](https://www.balena.io/etcher/), [Rufus](https://rufus.ie/), or [Ventoy](https://www.ventoy.net/en/index.html) to write the ISO to a USB key. +3. Insert the USB key into the computer you want to make an Akash provider. +4. Start the machine with the USB key for the boot drive (F11 may be required). +5. Reboot when the install is completed and unplug the USB key. +6. Login with default username and password (both of which are `akash`) and then follow the on-screen instructions. +7. Once the system has rebooted, go to the Control Panel. +8. Update the provider attributes with the recommended values and click Save. +9. Click STOP next to Provider. +10. Click "Re-Deploy Provider" Button. +11. Send at least 5 AKT to the new wallet address to start the provider. +12. Click "Download Kubeconfig" and import it into Lens. Set the Namespace to "All" to see everything. + +### Todos +- When changing pricing parameters, delete the configmap `akash-provider-bidscripts` from `akash-services` before re-deploying. +- Remove the static/dynamic question during the initial boot as it may confuse users. +- Show nodes in the cluster on the Dashboard with `kubectl get nodes -A -o wide`. +- Allow adding a new node to the cluster with just an IP address. +- Remove the question for adding a node to the cluster for the original IP; all add/remove operations should happen from the Dashboard only. +- Update `run-helm-k3s` to use functions so each can be called separately. +- Update the bid-engine script with the latest version. +- Add/Remove Attributes from Dashboard and default GPU, etc. + + Stack -lua + +``` + Copy code Akash Provider || @@ -135,4 +168,6 @@ Copy code || ------------------------- | Ubuntu 22.04 AutoInstall | - -------------------------- \ No newline at end of file + -------------------------- + + ``` \ No newline at end of file From d0be9d45dfcfa2539b560bbf7d79d24c6ef41b46 Mon Sep 17 00:00:00 2001 From: oiclid <1678413+oiclid@users.noreply.github.com> Date: Sat, 27 Jul 2024 15:55:32 +0100 Subject: [PATCH 05/29] started the 'oneclickllm' guide --- src/content/Docs/guides/oneclickllm/index.md | 18 ++++++++++++++++++ 1 file changed, 18 insertions(+) create mode 100644 src/content/Docs/guides/oneclickllm/index.md diff --git a/src/content/Docs/guides/oneclickllm/index.md b/src/content/Docs/guides/oneclickllm/index.md new file mode 100644 index 00000000..ef0bdb54 --- /dev/null +++ b/src/content/Docs/guides/oneclickllm/index.md @@ -0,0 +1,18 @@ +--- +categories: ["Guides"] +tags: ["Deployment", "API"] +weight: 1 +title: "OneClickLLM" +linkTitle: "OneClickLLM" +--- + +OneClickLLM simplifies the deployment of LLM inference APIs on the Akash Network, allowing users to deploy any open source large language model from Huggingface or Ollama Registry with zero configuration. With the capability to deploy within seconds, users can select a model, generate a properly configured SDL file, and deploy it seamlessly on Cloudmos or the console. The API is compatible with the popular OpenAI library, serving as a drop-in replacement. The fully automated and managed deployment process ensures high availability, scalability, and security, making it easy to deploy your own LLM or use the free demo [API](https://one-click-llm.vercel.app/free-demo-api/example/). + +## Free Demo Inference API + +OneClickLLM offers a free API endpoint featuring llava-phi3, llama2-7b, and Mistril-7b models. These endpoints allow users to explore and become familiar with the functionalities before deciding to deploy your private LLM inference API. The endpoints are also compatible with the OpenAI library and serve as an open-source drop-in replacement. + + +### Base Link + +You can access the API using the follwing base link: \ No newline at end of file From b479b05fe9d200b282f51b91396778f3f8c5c6a2 Mon Sep 17 00:00:00 2001 From: oiclid <1678413+oiclid@users.noreply.github.com> Date: Sat, 27 Jul 2024 18:48:12 +0100 Subject: [PATCH 06/29] partway through the 'oneclickllm' guide --- src/content/Docs/_sequence.ts | 1 + src/content/Docs/guides/oneclickllm/index.md | 413 ++++++++++++++++++- 2 files changed, 411 insertions(+), 3 deletions(-) diff --git a/src/content/Docs/_sequence.ts b/src/content/Docs/_sequence.ts index 09dee11c..b06ee5be 100644 --- a/src/content/Docs/_sequence.ts +++ b/src/content/Docs/_sequence.ts @@ -79,6 +79,7 @@ export const docsSequence = [ { label: "Ruby on Rails with Sia and Auth0"}, {label: "PostgreSQL restore/backup"}, { label: "AkashOS"}, + { label: "OneClickLLM"}, ], }, { diff --git a/src/content/Docs/guides/oneclickllm/index.md b/src/content/Docs/guides/oneclickllm/index.md index ef0bdb54..94d14cd5 100644 --- a/src/content/Docs/guides/oneclickllm/index.md +++ b/src/content/Docs/guides/oneclickllm/index.md @@ -8,11 +8,418 @@ linkTitle: "OneClickLLM" OneClickLLM simplifies the deployment of LLM inference APIs on the Akash Network, allowing users to deploy any open source large language model from Huggingface or Ollama Registry with zero configuration. With the capability to deploy within seconds, users can select a model, generate a properly configured SDL file, and deploy it seamlessly on Cloudmos or the console. The API is compatible with the popular OpenAI library, serving as a drop-in replacement. The fully automated and managed deployment process ensures high availability, scalability, and security, making it easy to deploy your own LLM or use the free demo [API](https://one-click-llm.vercel.app/free-demo-api/example/). -## Free Demo Inference API +# Free Demo Inference API OneClickLLM offers a free API endpoint featuring llava-phi3, llama2-7b, and Mistril-7b models. These endpoints allow users to explore and become familiar with the functionalities before deciding to deploy your private LLM inference API. The endpoints are also compatible with the OpenAI library and serve as an open-source drop-in replacement. -### Base Link +## Base Link + +You can access the API using the follwing base link: + +``` +https://kk3lu4jbrtdr98lh63g7vrq75k.ingress.akash-cloud.com + +``` + +## Examples + +### Generate Request (Streaming) + +**Request:** + +``` + +curl http://baseAkashUrl/api/generate -d '{ + "model": "llava-phi3", + "prompt": "What is quantum mechanics?" +}' + +``` + +**Response:** + +If `stream` is set to `false`, the response will be a single JSON object: + +``` + +{ + "model": "llava-phi3", + "created_at": "2023-08-04T19:22:45.499127Z", + "response": "It is a field of physics dealing with sub atomic particles.", + "done": true, + "context": [1, 2, 3], + "total_duration": 5043500667, + "load_duration": 5025959, + "prompt_eval_count": 26, + "prompt_eval_duration": 325953000, + "eval_count": 290, + "eval_duration": 4709213000 +} + +``` + +# EndPoint Documentation + +## Streamlining LLM Inference API Deployment on Akash Network via Ollama, vLLM, and Llama-cpp + +Deploy open-source models within seconds and a few clicks on the Akash Network: + +- Our aim is to streamline the deployment of LLM APIs on the Akash Network. +- Our goal is to make it easy for users to deploy their preferred LLM models without worrying about the underlying infrastructure. +- Users can simply select the LLM model they wish to deploy, and we will provide them with a properly configured SDL file with an inference server. +- Once users have the SDL file, they can deploy the LLM API on the Akash Network with just a few clicks on Cloudmos/console. +- The deployment process is fully automated and managed by the Akash Network, ensuring that the service is highly available, scalable, and secure. + +## Endpoints + +- [Generate a completion](#generate-a-completion) +- [Generate a chat completion](generate-a-chat-completion) +- [List loaded models](list-loaded-models) +- [Show model information](show-model-information) + +## Conventions + +### Model names: + +Model names follow a `model:tag` format, where model can have an optional namespace such as `example/model`. Some examples are `phi3` and `llama3:70b`. The tag is optional and, if not provided, will default to latest. The tag is used to identify a specific version. + +### Durations: + +All durations are returned in nanoseconds. + +### Streaming responses: + +Certain endpoints stream responses as JSON objects and can optionally return non-streamed responses. + + +## Generate a Completion + +``` + +POST /api/generate + +``` + +Generate a response for a given prompt with a provided model. This is a streaming endpoint, so there will be a series of responses. The final response object will include statistics and additional data from the request. + +### Parameters + +- `model` (required): The [model name](#model-names) +- `prompt`: The prompt to generate a response for +- `images` (optional): A list of base64-encoded images (for multimodal models such as `llava`) + +### Examples + +#### Generate request (Streaming) + +**Request:** + +``` + +curl http://baseAkashUrl/api/generate -d '{ + "model": "llama3", + "prompt": "What is quantum mechanics?" +}' + +``` + +**Response:** + +A stream of JSON objects is returned: + +``` + +{ + "model": "llama3", + "created_at": "2023-08-04T08:52:19.385406455-07:00", + "response": "The", + "done": false +} + +``` + +The final response in the stream also includes additional data about the generation: + +- `total_duration`: Time spent generating the response +- `load_duration`: Time spent in nanoseconds loading the model +- `prompt_eval_count`: Number of tokens in the prompt +- `prompt_eval_duration`: Time spent in nanoseconds evaluating the prompt +- `eval_count`: Number of tokens in the response +- `eval_duration`: Time in nanoseconds spent generating the response +- `context`: An encoding of the conversation used in this response, which can be sent in the next request to keep a conversational memory +- `response`: Empty if the response was streamed; if not streamed, this will contain the full response + +#### Generate request (No streaming) + +**Request:** + +``` + +curl http://baseAkashUrl/api/generate -d '{ + "model": "llama3", + "prompt": "What is quantum mechanics?", + "stream": false +}' + +``` + +**Response:** + +If `stream` is set to `false`, the response will be a single JSON object: + + +``` + +{ + "model": "llama3", + "created_at": "2023-08-04T19:22:45.499127Z", + "response": "It is a field of physics dealing with subatomic particles.", + "done": true, + "context": [1, 2, 3], + "total_duration": 5043500667, + "load_duration": 5025959, + "prompt_eval_count": 26, + "prompt_eval_duration": 325953000, + "eval_count": 290, + "eval_duration": 4709213000 +} + +``` + +#### Generate request (JSON mode) + +When `format` is set to `json`, the output will always be a well-formed JSON object. It’s important to also instruct the model to respond in JSON. + +**Request:** + +``` + +curl http://baseAkashUrl/api/generate -d '{ + "model": "llama3", + "prompt": "What color is the sky at different times of the day? Respond using JSON", + "format": "json", + "stream": false +}' + +``` + +**Response:** + +``` + +{ + "model": "llama3", + "created_at": "2023-11-09T21:07:55.186497Z", + "response": "{\n\"morning\": {\n\"color\": \"blue\"\n},\n\"noon\": {\n\"color\": \"blue-gray\"\n},\n\"afternoon\": {\n\"color\": \"warm gray\"\n},\n\"evening\": {\n\"color\": \"orange\"\n}\n}\n", + "done": true, + "context": [1, 2, 3], + "total_duration": 4648158584, + "load_duration": 4071084, + "prompt_eval_count": 36, + "prompt_eval_duration": 439038000, + "eval_count": 180, + "eval_duration": 4196918000 +} + +``` + +The value of `response` will be a string containing JSON similar to: + +``` + +{ + "morning": { + "color": "blue" + }, + "noon": { + "color": "blue-gray" + }, + "afternoon": { + "color": "warm gray" + }, + "evening": { + "color": "orange" + } +} + +``` + +#### Generate request (With options) + +If you want to set custom options for the model at runtime rather than in the Modelfile, you can do so with the `options` parameter. This example sets every available option, but you can set any of them individually and omit the ones you do not want to override. + +**Request:** + +``` + +curl http://baseAkashUrl/api/generate -d '{ + "model": "llama3", + "prompt": "Why is the sky blue?", + "stream": false, + "options": { + "num_keep": 5, + "seed": 42, + "num_predict": 100, + "top_k": 20, + "top_p": 0.9, + "tfs_z": 0.5, + "typical_p": 0.7, + "repeat_last_n": 33, + "temperature": 0.8, + "repeat_penalty": 1.2, + "presence_penalty": 1.5, + "frequency_penalty": 1.0, + "mirostat": 1, + "mirostat_tau": 0.8, + "mirostat_eta": 0.6, + "penalize_newline": true, + "stop": ["\n", "user:"], + "numa": false, + "num_ctx": 1024, + "num_batch": 2, + "num_gpu": 1, + "main_gpu": 0, + "low_vram": false, + "f16_kv": true, + "vocab_only": false, + "use_mmap": true, + "use_mlock": false, + "num_thread": 8 + } +}' + +``` + +**Response:** + +``` + +{ + "model": "llama3", + "created_at": "2023-08-04T19:22:45.499127Z", + "response": "The sky is blue because it is the color of the sky.", + "done": true, + "context": [1, 2, 3], + "total_duration": 4935886791, + "load_duration": 534986708, + "prompt_eval_count": 26, + "prompt_eval_duration": 107345000, + "eval_count": 237, + "eval_duration": 4289432000 +} + +``` + +#### Load a Model + +If an empty prompt is provided, the model will be loaded into memory. + + +**Request:** + +``` + +curl http://baseAkashUrl/api/generate -d '{ + "model": "llama3" +}' + +``` + +**Response:** + +A single JSON object is returned: + +``` + +{ + "model": "llama3", + "created_at": "2023-12-18T19:52:07.071755Z", + "response": "", + "done": true +} + +``` + +## Generate a Chat Completion + +``` + +POST /api/chat + +``` + +This endpoint generates the next message in a chat conversation using the specified model. By default, this is a streaming endpoint, providing a series of responses. Streaming can be disabled with the `"stream": false` parameter. The final response object includes detailed statistics and additional data from the request. + +### Parameters + +- `model` (required): The name of the [model](#model-names) to use. +- `messages`: An array of messages that make up the chat. This helps maintain the chat history. Each message object includes: + - `role`: The role of the message sender. Can be `system`, `user`, or `assistant`. + - `content`: The text content of the message. + - `images` (optional): A list of base64-encoded images to include in the message (for multimodal models like `llava`). + +### Examples + +#### Chat Request (Streaming) + +**Request:** + +``` + +curl http://baseAkashUrl/api/chat -d '{ + "model": "llama3", + "messages": [ + { + "role": "user", + "content": "Why is the sky blue?" + } + ] +}' + + +``` + +**Response:** + +A stream of JSON objects is returned: + +``` + +{ + "model": "llama3", + "created_at": "2023-08-04T08:52:19.385406455-07:00", + "message": { + "role": "assistant", + "content": "The", + "images": null + }, + "done": false +} + +``` + +**Final Response:** + +``` + +{ + "model": "llama3", + "created_at": "2023-08-04T19:22:45.499127Z", + "done": true, + "total_duration": 4883583458, + "load_duration": 1334875, + "prompt_eval_count": 26, + "prompt_eval_duration": 342546000, + "eval_count": 282, + "eval_duration": 4535599000 +} + +``` + + + + + + -You can access the API using the follwing base link: \ No newline at end of file From 0086fed7b258576c9308ba40c1838e024d91b6fc Mon Sep 17 00:00:00 2001 From: oiclid <1678413+oiclid@users.noreply.github.com> Date: Sat, 27 Jul 2024 19:25:26 +0100 Subject: [PATCH 07/29] finished the 'oneclickllm' guide --- src/content/Docs/guides/oneclickllm/index.md | 117 +++++++++++++++++++ 1 file changed, 117 insertions(+) diff --git a/src/content/Docs/guides/oneclickllm/index.md b/src/content/Docs/guides/oneclickllm/index.md index 94d14cd5..cd66b4a1 100644 --- a/src/content/Docs/guides/oneclickllm/index.md +++ b/src/content/Docs/guides/oneclickllm/index.md @@ -417,9 +417,126 @@ A stream of JSON objects is returned: ``` +#### Chat Request (No Streaming) +**Request:** +``` +curl http://baseAkashUrl/api/chat -d '{ + "model": "llama3", + "messages": [ + { + "role": "user", + "content": "Why is the sky blue?" + } + ], + "stream": false +}' +``` +**Response:** + +``` + +{ + "model": "llama3:latest", + "created_at": "2023-12-12T14:13:43.416799Z", + "message": { + "role": "assistant", + "content": "The sky appears blue due to the scattering of sunlight by the atmosphere." + }, + "done": true, + "total_duration": 5191566416, + "load_duration": 2154458, + "prompt_eval_count": 26, + "prompt_eval_duration": 383809000, + "eval_count": 298, + "eval_duration": 4799921000 +} + +``` + +## List Loaded Models + +``` + +GET /api/tags + +``` + +This endpoint lists the models available locally on the server. + +## Example + +**Request:** + +``` +curl http://baseAkashUrl/api/tags + +``` + +**Response:** + +``` + +{ + "models": [ + { + "name": "codellama:13b", + "modified_at": "2023-11-04T14:56:49.277302595-07:00", + "size": 7365960935, + "digest": "9f438cb9cd581fc025612d27f7c1a6669ff83a8bb0ed86c94fcf4c5440555697", + "details": { + "format": "gguf", + "family": "llama", + "parameter_size": "13B", + "quantization_level": "Q4_0" + } + }, + { + "name": "llama3:latest", + "modified_at": "2023-12-07T09:32:18.757212583-08:00", + "size": 3825819519, + "digest": "fe938a131f40e6f6d40083c9f0f430a515233eb2edaa6d72eb85c50d64f2300e", + "details": { + "format": "gguf", + "family": "llama", + "parameter_size": "7B", + "quantization_level": "Q4_0" + } + } + ] +} + +``` + +## Show Model Information + + +``` + +POST /api/show + +``` + +This endpoint retrieves detailed information about a specific model, including its details, modelfile, template, parameters, license, and system prompt. + +### Parameters + +- `name`: The name of the model for which to show information. + +### Example + +**Request:** + + +``` + +curl http://baseAkashUrl/api/show -d '{ + "name": "llama3" +}' + +``` From 1888e9ae3ce4709a493689412a64ddfcc772f510 Mon Sep 17 00:00:00 2001 From: oiclid <1678413+oiclid@users.noreply.github.com> Date: Sun, 28 Jul 2024 12:09:14 +0100 Subject: [PATCH 08/29] completed the 'provder-stats' guide --- src/content/Docs/_sequence.ts | 1 + src/content/Docs/assets/provider-stats1.png | Bin 0 -> 95080 bytes src/content/Docs/assets/provider-stats2.png | Bin 0 -> 72218 bytes src/content/Docs/guides/akashos/index.md | 4 + .../Docs/guides/provider-stats/index.md | 89 ++++++++++++++++++ 5 files changed, 94 insertions(+) create mode 100644 src/content/Docs/assets/provider-stats1.png create mode 100644 src/content/Docs/assets/provider-stats2.png create mode 100644 src/content/Docs/guides/provider-stats/index.md diff --git a/src/content/Docs/_sequence.ts b/src/content/Docs/_sequence.ts index b06ee5be..f074b3e5 100644 --- a/src/content/Docs/_sequence.ts +++ b/src/content/Docs/_sequence.ts @@ -80,6 +80,7 @@ export const docsSequence = [ {label: "PostgreSQL restore/backup"}, { label: "AkashOS"}, { label: "OneClickLLM"}, + {label: "Provider Utilization Dashboard"}, ], }, { diff --git a/src/content/Docs/assets/provider-stats1.png b/src/content/Docs/assets/provider-stats1.png new file mode 100644 index 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z325=_->VLxM1k8CIQHd#6!oxR*1?pIX<3~0gC5J%9y4X!KH2tvtfR$EykEFzm}5}- z0Jq@!zeU^+$CSRLJahE<1&&{rXhQQDBY46m(3!cbkq1KVKBfD%I)_{uPnMzVhp<_t+@NIGXOt*&-Ubb zh4v=`T=9|(DXEu2eM}#0x3qgSQtWU~@>j9_y(q1hPq37kL)quoVN`zpdVoGe;O(zd zEp6=7d4;?&{P`9Cp9=D4@!sE%r{!yGNH&^ZzS!u;curPGh*jW+nIC7QWBQjVJ)1h_ zLnlQ>d^H39y;b}3Nq;4`1Lc{haudZP^NUyg?xpC2 zS^hE@kDe?=9-&5U2`jPx+V?c4OnR`_AL;%#?GLj4;Fwm!NAF?qh}03vpQ@6kV!>}F G&;JWT0J$9i literal 0 HcmV?d00001 diff --git a/src/content/Docs/guides/akashos/index.md b/src/content/Docs/guides/akashos/index.md index d9f6a242..39bacf69 100644 --- a/src/content/Docs/guides/akashos/index.md +++ b/src/content/Docs/guides/akashos/index.md @@ -10,6 +10,10 @@ linkTitle: "AkashOS" ![](../../assets/akashos.png) + **Note** + You can find the latest AkashOS Image release [here](https://github.com/cryptoandcoffee/akashos/releases). + + Welcome to AkashOS, an innovative solution for those aspiring to become a provider within the Akash Network. By utilizing Autoinstall and cloud-init, AkashOS offers a seamless, unattended installation of Ubuntu Server. It autonomously establishes a Kubernetes cluster and deploys Helm charts to configure the system as an Akash Network provider. After installation, users can configure the provider via a user-friendly Dashboard/GUI or through SSH, providing a versatile approach to provider configuration. The installation process is designed to be intuitive, requiring users to answer a few straightforward questions, ensuring a smooth setup experience. diff --git a/src/content/Docs/guides/provider-stats/index.md b/src/content/Docs/guides/provider-stats/index.md new file mode 100644 index 00000000..03179bbf --- /dev/null +++ b/src/content/Docs/guides/provider-stats/index.md @@ -0,0 +1,89 @@ +--- +categories: ["Guides"] +tags: ["Dashboard"] +weight: 1 +title: "Provider Utilization Dashboard" +linkTitle: "Provider Utilization Dashboard" +--- + +# Provider Utilization Dashboard + +**Note** + +You can find the `Provider Utilization Dashboard's` repo [here](https://github.com/Zblocker64/provider-stats) + + + +This program has three pods with three diffrent services: + +1. **Periodic Shell Script:** This script runs at a configurable frequency, making a gRPCurl request to a server with reflection enabled. It retrieves the current provider utilization data and stores the JSON response in a database. +2. **NoSQL Database (CouchDB):** This database stores the server utilization logs (in JSON format) retrieved by the shell script. +3. **Web Application:** This app features a dashboard that displays the daily average utilization of resources such as CPU, GPU, memory, and storage. + + +## Getting Started + +These instructions will guide you through deploying this project using the [Akash Console](https://console.akash.network). + + + +### Deploying + +You will need an Akash wallet with at least 0.5 AKT. You can use any deployment tool of your choice. This guide uses the [Akash Console](https://console.akash.network), but you can also the [Akash CLI](/docs/deployments/akash-cli/overview/). + +#### Environment Variables + +- `COUCHDB_USER` - The admin username for CouchDB. +- `COUCHDB_PASSWORD` - The password for the CouchDB admin user. +- `COUCHDB_URL` - The URL for CouchDB, eg., "http://admin:password@couchdb:5984" +- `COUCHDB_DB_NAME` - The name of the database. +- `COUCHDB_DESIGN_DOC` - The database design document. +- `COUCHDB_CPU_VIEW` - The database index for CPU data. +- `COUCHDB_GPU_VIEW` - The database index for GPU data. +- `COUCHDB_MEMORY_VIEW` - The database index for memory data. +- `COUCHDB_STORAGE_VIEW` - The database index for storage data. +- `PROVIDER_URL` - The URL from which the service will pull data. + +**Note:** + + When changing the COUCHDB_USER and COUCHDB_PASSWORD values, update them in the environment variables for both containers. + + #### Volumes + +- `couchdb_data`: This is where CouchDB persists its data. + +### Accessing the Applications + +**CouchDB** + +To access the CouchDB UI, navigate to the URL provided by the [Akash Console](https://console.akash.network) in your web browser. Log in with the `COUCHDB_USER` and `COUCHDB_PASSWORD` configured in your environment variables. Add `/_utils/` to the end of your URL. + +![](../../assets/provider-stats1.png) + +**Flask App** + +Your Flask application will be available at the URL provided by the [Akash Console](https://console.akash.network). You can also set a custom domain as specified in the SDL. + +![](../../assets/provider-stats2.png) + +**gRPC Poller** + +This service depends on CouchDB and performs periodic polling. Adjust the interval by setting the `REQUEST_INTERVAL` environment variable. No further access is required after deployment. + +### Persistent Data + +The composition uses named volumes to ensure your data persists across container restarts. + +### Troubleshooting + +Deployment should be straightforward, but if the database does not initialize correctly and no data appears on your web dashboard, follow these steps: + +1. Log into the database using the provided DB URL. +2. Log in with your username and password. +3. Navigate to the setup tab. +4. Select "single node" and re-enter your username and password. + +This should resolve the issue, and data should appear within 15 minutes. + + + From b00211fbca190e06a80ad6c84b69981e157e200a Mon Sep 17 00:00:00 2001 From: oiclid <1678413+oiclid@users.noreply.github.com> Date: Sun, 28 Jul 2024 12:36:37 +0100 Subject: [PATCH 09/29] completed the 'providerstats' guide --- src/content/Docs/_sequence.ts | 5 +++-- src/content/Docs/guides/akashos/index.md | 8 ++------ src/content/Docs/guides/autodeployer/index.md | 7 +++++++ src/content/Docs/guides/oneclickllm/index.md | 4 ++-- src/content/Docs/guides/provider-stats/index.md | 8 +------- 5 files changed, 15 insertions(+), 17 deletions(-) create mode 100644 src/content/Docs/guides/autodeployer/index.md diff --git a/src/content/Docs/_sequence.ts b/src/content/Docs/_sequence.ts index f074b3e5..90d3939e 100644 --- a/src/content/Docs/_sequence.ts +++ b/src/content/Docs/_sequence.ts @@ -77,10 +77,11 @@ export const docsSequence = [ { label: "Multi-Tiered Deployment" }, { label: "Helium Validator" }, { label: "Ruby on Rails with Sia and Auth0"}, - {label: "PostgreSQL restore/backup"}, + { label: "PostgreSQL restore/backup"}, { label: "AkashOS"}, { label: "OneClickLLM"}, - {label: "Provider Utilization Dashboard"}, + { label: "Provider Utilization Dashboard"}, + { label: "Akash AutoDeployer Tool"} ], }, { diff --git a/src/content/Docs/guides/akashos/index.md b/src/content/Docs/guides/akashos/index.md index 39bacf69..061166ee 100644 --- a/src/content/Docs/guides/akashos/index.md +++ b/src/content/Docs/guides/akashos/index.md @@ -9,12 +9,8 @@ linkTitle: "AkashOS" # AkashOS: Akash Provider OS - Ubuntu Server 24.04 Edition ![](../../assets/akashos.png) - - **Note** - You can find the latest AkashOS Image release [here](https://github.com/cryptoandcoffee/akashos/releases). - - -Welcome to AkashOS, an innovative solution for those aspiring to become a provider within the Akash Network. By utilizing Autoinstall and cloud-init, AkashOS offers a seamless, unattended installation of Ubuntu Server. It autonomously establishes a Kubernetes cluster and deploys Helm charts to configure the system as an Akash Network provider. + +[AkashOS](https://github.com/cryptoandcoffee/akashos/releases) is an innovative solution for those aspiring to become a provider within the Akash Network. By utilizing Autoinstall and cloud-init, AkashOS offers a seamless, unattended installation of Ubuntu Server. It autonomously establishes a Kubernetes cluster and deploys Helm charts to configure the system as an Akash Network provider. After installation, users can configure the provider via a user-friendly Dashboard/GUI or through SSH, providing a versatile approach to provider configuration. The installation process is designed to be intuitive, requiring users to answer a few straightforward questions, ensuring a smooth setup experience. diff --git a/src/content/Docs/guides/autodeployer/index.md b/src/content/Docs/guides/autodeployer/index.md new file mode 100644 index 00000000..aea6d1d1 --- /dev/null +++ b/src/content/Docs/guides/autodeployer/index.md @@ -0,0 +1,7 @@ +--- +categories: ["Guides"] +tags: ["Dashboard"] +weight: 1 +title: "Akash AutoDeployer Tool" +linkTitle: "Akash AutoDeployer Tool" +--- \ No newline at end of file diff --git a/src/content/Docs/guides/oneclickllm/index.md b/src/content/Docs/guides/oneclickllm/index.md index cd66b4a1..941b8d8c 100644 --- a/src/content/Docs/guides/oneclickllm/index.md +++ b/src/content/Docs/guides/oneclickllm/index.md @@ -6,7 +6,7 @@ title: "OneClickLLM" linkTitle: "OneClickLLM" --- -OneClickLLM simplifies the deployment of LLM inference APIs on the Akash Network, allowing users to deploy any open source large language model from Huggingface or Ollama Registry with zero configuration. With the capability to deploy within seconds, users can select a model, generate a properly configured SDL file, and deploy it seamlessly on Cloudmos or the console. The API is compatible with the popular OpenAI library, serving as a drop-in replacement. The fully automated and managed deployment process ensures high availability, scalability, and security, making it easy to deploy your own LLM or use the free demo [API](https://one-click-llm.vercel.app/free-demo-api/example/). +[OneClickLLM](https://one-click-llm.vercel.app/) simplifies the deployment of LLM inference APIs on the Akash Network, allowing users to deploy any open source large language model from Huggingface or Ollama Registry with zero configuration. With the capability to deploy within seconds, users can select a model, generate a properly configured SDL file, and deploy it seamlessly on the [Akash Console](https://console.akash.network) or the console. The API is compatible with the popular OpenAI library, serving as a drop-in replacement. The fully automated and managed deployment process ensures high availability, scalability, and security, making it easy to deploy your own LLM or use the free demo [API](https://one-click-llm.vercel.app/free-demo-api/example/). # Free Demo Inference API @@ -68,7 +68,7 @@ Deploy open-source models within seconds and a few clicks on the Akash Network: - Our aim is to streamline the deployment of LLM APIs on the Akash Network. - Our goal is to make it easy for users to deploy their preferred LLM models without worrying about the underlying infrastructure. - Users can simply select the LLM model they wish to deploy, and we will provide them with a properly configured SDL file with an inference server. -- Once users have the SDL file, they can deploy the LLM API on the Akash Network with just a few clicks on Cloudmos/console. +- Once users have the SDL file, they can deploy the LLM API on the Akash Network with just a few clicks on the [Akash Console](https://console.akash.network)or using the [CLI](/docs/deployments/akash-cli/overview/). - The deployment process is fully automated and managed by the Akash Network, ensuring that the service is highly available, scalable, and secure. ## Endpoints diff --git a/src/content/Docs/guides/provider-stats/index.md b/src/content/Docs/guides/provider-stats/index.md index 03179bbf..01503321 100644 --- a/src/content/Docs/guides/provider-stats/index.md +++ b/src/content/Docs/guides/provider-stats/index.md @@ -8,13 +8,7 @@ linkTitle: "Provider Utilization Dashboard" # Provider Utilization Dashboard -**Note** - -You can find the `Provider Utilization Dashboard's` repo [here](https://github.com/Zblocker64/provider-stats) - - - -This program has three pods with three diffrent services: +The [Akash Provider Utilization Dashboard](https://github.com/Zblocker64/provider-stats) has three pods with three diffrent services: 1. **Periodic Shell Script:** This script runs at a configurable frequency, making a gRPCurl request to a server with reflection enabled. It retrieves the current provider utilization data and stores the JSON response in a database. 2. **NoSQL Database (CouchDB):** This database stores the server utilization logs (in JSON format) retrieved by the shell script. From 5480c514aa9af06ffe5396d5d13f802152b95c13 Mon Sep 17 00:00:00 2001 From: oiclid <1678413+oiclid@users.noreply.github.com> Date: Sun, 28 Jul 2024 13:23:34 +0100 Subject: [PATCH 10/29] started the 'playgrounds' guide --- src/content/Docs/_sequence.ts | 3 +- src/content/Docs/assets/playground.png | Bin 0 -> 595866 bytes src/content/Docs/guides/autodeployer/index.md | 12 ++++--- src/content/Docs/guides/oneclickllm/index.md | 2 +- src/content/Docs/guides/playground/index.md | 33 ++++++++++++++++++ 5 files changed, 44 insertions(+), 6 deletions(-) create mode 100644 src/content/Docs/assets/playground.png create mode 100644 src/content/Docs/guides/playground/index.md diff --git a/src/content/Docs/_sequence.ts b/src/content/Docs/_sequence.ts index 90d3939e..f6009abb 100644 --- a/src/content/Docs/_sequence.ts +++ b/src/content/Docs/_sequence.ts @@ -81,7 +81,8 @@ export const docsSequence = [ { label: "AkashOS"}, { label: "OneClickLLM"}, { label: "Provider Utilization Dashboard"}, - { label: 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z-MaG}3yk8x1WuY!e~U(kG=eNoUFFrYYpOAnwNxTCwi;z}IIMPoxh|tn(SJcIRS+e%@F88M&kh6+FX5xshIfnjil Date: Sun, 28 Jul 2024 15:14:42 +0100 Subject: [PATCH 11/29] completed the 'playground' guide --- src/content/Docs/guides/playground/index.md | 78 ++++++++++++++++++++- 1 file changed, 77 insertions(+), 1 deletion(-) diff --git a/src/content/Docs/guides/playground/index.md b/src/content/Docs/guides/playground/index.md index ed71d6ba..b38ae04e 100644 --- a/src/content/Docs/guides/playground/index.md +++ b/src/content/Docs/guides/playground/index.md @@ -8,7 +8,7 @@ linkTitle: "Akash Playground" # Akash Playground - A Community-Driven AI Marketplace on Akash Cloud -[Akash Playground](https://github.com/javiersuweijie/plygrnd-ui/tree/main) is a community-driven marketplace where users can upload, run, and monetize their AI models without the hassle of managing underlying infrastructure. This platform simplifies infrastructure management, making AI models more accessible and usable for various applications. It is compatible with [Hugging Face](https://huggingface.com) Spaces repositories, facilitating seamless integration and collaboration. +[Akash Playground](https://github.com/javiersuweijie/plygrnd-ui/tree/main) is a community-driven marketplace where users can upload, run, and monetize their AI models without the hassle of managing underlying infrastructure. This platform simplifies infrastructure management, making AI models more accessible and usable for various applications. It is compatible with [Hugging Face Spaces](https://huggingface.co/spaces) repositories, facilitating seamless integration and collaboration. ![](../../assets/playground.png) @@ -31,3 +31,79 @@ The rapid development of AI models has spurred numerous innovative applications. - **Community Engagement**: The platform includes a community forum for discussions, feedback, and collaboration among users. +## Setup & Deployment + +### Clone the Repo & Install the Dependencies + +Clone the repo using either of these methods: + +1. If you have SSH enabled: + +``` + +``` + +2. Using the GitHub CLI: + +``` + +gh repo clone javiersuweijie/plygrnd-ui + +``` + +3. Via the Web URL: + +``` + +https://github.com/javiersuweijie/plygrnd-ui.git + +``` + +Once you've successfully clone the repo, run the following command: + +``` + +cd plygrnd-ui + +``` + +Install the dependencies with `npm install` (or `pnpm install` or `yarn install`). + +### Setting Up the Environment Variables + +Create a .env file and set the following environment variables: + +``` + +AKASH_KEY_NAME=plygrnd +AKASH_KEYRING_BACKEND=os +AKASH_NET="https://raw.githubusercontent.com/akash-network/net/main/mainnet" +AKASH_VERSION=v0.6.1 +AKASH_CHAIN_ID=akashnet-2 +AKASH_NODE=https://rpc.akashnet.net:443 +AKASH_GAS_ADJUSTMENT=1.15 +AKASH_GAS_PRICES=0.025uakt +AKASH_GAS=auto +AKASH_SIGN_MODE=amino-json + +AKASH_MNEMONIC= +AKASH_ACCOUNT_ADDRESS= +AKASH_CERT= +AKASH_CERT_PUB_KEY= +AKASH_CERT_KEY= +SUPABASE_KEY= + +``` + +### Starting the Development Server + +Start the development server by running the following command: + +``` +npm run dev + +``` + +By using Akash Playground, developers can effortlessly deploy and monetize their AI models, while users can easily access a wide range of AI capabilities, driving growth and innovation in the AI ecosystem. + + From f298f7e751887406720d55d3f511147b76d25c00 Mon Sep 17 00:00:00 2001 From: oiclid <1678413+oiclid@users.noreply.github.com> Date: Sun, 28 Jul 2024 15:52:33 +0100 Subject: [PATCH 12/29] completed the 'autodeployer' guide --- src/content/Docs/_sequence.ts | 2 +- src/content/Docs/guides/autodeployer/index.md | 106 +++++++++++++++++- 2 files changed, 106 insertions(+), 2 deletions(-) diff --git a/src/content/Docs/_sequence.ts b/src/content/Docs/_sequence.ts index f6009abb..49ddc2d3 100644 --- a/src/content/Docs/_sequence.ts +++ b/src/content/Docs/_sequence.ts @@ -81,7 +81,7 @@ export const docsSequence = [ { label: "AkashOS"}, { label: "OneClickLLM"}, { label: "Provider Utilization Dashboard"}, - { label: "Akash AutoDeployer Tool"}, + { label: "Akash AutoDeployer"}, { label: "Akash Playground"}, ], }, diff --git a/src/content/Docs/guides/autodeployer/index.md b/src/content/Docs/guides/autodeployer/index.md index 865cc491..9fb4834d 100644 --- a/src/content/Docs/guides/autodeployer/index.md +++ b/src/content/Docs/guides/autodeployer/index.md @@ -8,4 +8,108 @@ linkTitle: "Akash AutoDeployer" # Akash AutoDeployer Tool -The [Akash Autodeployer](https://github.com/oiclid/AKASH_ECOFUSE) is a powerful tool simplifies the process of deploying your applications to the Akash Network, a decentralized cloud platform built on blockchain technology. Whether you're a developer, a business owner, or a blockchain enthusiast, this tool provides an intuitive interface to manage your cloud deployments effortlessly. \ No newline at end of file +The [Akash Autodeployer](https://github.com/oiclid/AKASH_ECOFUSE) is a powerful tool simplifies the process of deploying your applications to the Akash Network, a decentralized cloud platform built on blockchain technology. Whether you're a developer, a business owner, or a blockchain enthusiast, this tool provides an intuitive interface to manage your cloud deployments effortlessly. + +## Features + +- Streamlined Deployment: Deploy your applications on Akash with just a few clicks. + +- User-Friendly Interface: Intuitive design makes cloud deployment accessible to everyone. + +- Customization: Configure your deployments to match your specific requirements. + +- Security: Built-in security measures ensure the safety of your applications. + +- Cost Control: Monitor and manage your cloud expenses effectively. + +## Getting Started + +### Prerequisites + +Before using the Akash AutoDeployer tool on your local machine, make sure you have the following: + +- A valid Akash Network account and wallet. + +- Docker installed on your system. + +- A GitHub repository for your project. + +- Python compiler installed. + +### Packages Required + +- `langchain >=0.0.271` + +- `streamlit >=1.27.0` + +- `chromadb >=0.4.13` + +- `openai >=0.27.9` + +- Other native imports: `requests`, `os`, `subprocess`. + +### Installation + +To install Akash AutoDeployer, follow these steps: + +1. Clone and change into the cloned repo: + +``` + +git clone https://github.com/EcofuseAI/AKASH_ECOFUSE.git && cd AKASH_ECOFUSE + +``` + +2. Launch the `autodeployer.py` script: + +``` + +streamlit run autodeployer.py + +``` + +## Usage + +Using Akash AutoDeployer is straightforward and involves three main steps: + +### Step 1: Configuration + +Before deploying your application, configure your project settings, including your API keys and model configurations. + +- GitHub API token +- OpenAI/Anthropic/Claude, etc API key +- Model type (e.g., ChatGPT-3.5, Ada, Davinci) + +### Step 2: Deploy + +Deploy your application by first running the Dockerizer and SDL generator wizard: + +- Visit: http://localhost:8501/ + +- Or: http://127.0.0.1:8501/ + +Once you have your Docker Image and SDL ready, head to the Akash console or Cloudmos to complete the deployment process. You can use the "custom SDL" option to deploy directly with the SDL generated by the Autodeployer. + +### Step 3: Manage + +Manage your deployments easily with the following commands: + +- `akash-autodeployer list`: List all your active deployments. + +- `akash-autodeployer scale`: Scale your deployments up or down. + +- `akash-autodeployer close`: Close and terminate a deployment. + +## Advanced Options + +you may want to explore advanced options and customizations to tailor your deployments to your exact needs. + + + + + + + + + + From dab3e0140ec38c55403cb688a66e2e27adc722e9 Mon Sep 17 00:00:00 2001 From: oiclid <1678413+oiclid@users.noreply.github.com> Date: Sun, 28 Jul 2024 17:38:02 +0100 Subject: [PATCH 13/29] completed the 'ray' guide --- src/content/Docs/_sequence.ts | 1 + src/content/Docs/assets/ray-akashconsole.png | Bin 0 -> 162512 bytes .../Docs/assets/ray-akashconsoleyml.png | Bin 0 -> 36468 bytes src/content/Docs/assets/ray-work.png | Bin 0 -> 46076 bytes src/content/Docs/assets/ray.png | Bin 0 -> 21542 bytes src/content/Docs/guides/ray/index.md | 170 ++++++++++++++++++ 6 files changed, 171 insertions(+) create mode 100644 src/content/Docs/assets/ray-akashconsole.png create mode 100644 src/content/Docs/assets/ray-akashconsoleyml.png create mode 100644 src/content/Docs/assets/ray-work.png create mode 100644 src/content/Docs/assets/ray.png create mode 100644 src/content/Docs/guides/ray/index.md diff --git a/src/content/Docs/_sequence.ts b/src/content/Docs/_sequence.ts index 49ddc2d3..1222fe14 100644 --- a/src/content/Docs/_sequence.ts +++ b/src/content/Docs/_sequence.ts @@ -83,6 +83,7 @@ export const docsSequence = [ { label: "Provider Utilization Dashboard"}, { label: "Akash AutoDeployer"}, { label: "Akash Playground"}, + { label: "Ray"} ], }, { diff --git a/src/content/Docs/assets/ray-akashconsole.png b/src/content/Docs/assets/ray-akashconsole.png new file mode 100644 index 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z-P!0E6@W41-2hXs;Iszwq>&E^!ZfD;!pOnb+?$Fh5Ny#YMJZJu6UA%D5OEL2Y zfXvRUC213>qNz)n0N4i2*GyPA<Ry|ccXgHL>yuCkL<%6=w` z=Wtb=`T)ISBbaESf7zI-6Bbwe`dgZ&Q)K;OPtwHtHN%%dPYk|cP6~{s(;^vAAOCuY y*n@B5*4owb1}GU{62~wUZYHNs5H}jffLQ Date: Sun, 28 Jul 2024 19:01:02 +0100 Subject: [PATCH 14/29] completed the 'flock_io' guide --- src/content/Docs/_sequence.ts | 3 +- src/content/Docs/assets/flock_io-stake.png | Bin 0 -> 378336 bytes src/content/Docs/assets/flock_io_select.png | Bin 0 -> 172211 bytes src/content/Docs/guides/akashos/index.md | 4 +- src/content/Docs/guides/autodeployer/index.md | 5 +- src/content/Docs/guides/flock_io/index.md | 210 ++++++++++++++++++ src/content/Docs/guides/oneclickllm/index.md | 4 +- src/content/Docs/guides/playground/index.md | 2 - .../Docs/guides/provider-stats/index.md | 3 +- src/content/Docs/guides/ray/index.md | 1 - 10 files changed, 218 insertions(+), 14 deletions(-) create mode 100644 src/content/Docs/assets/flock_io-stake.png create mode 100644 src/content/Docs/assets/flock_io_select.png create mode 100644 src/content/Docs/guides/flock_io/index.md diff --git a/src/content/Docs/_sequence.ts b/src/content/Docs/_sequence.ts index 1222fe14..686bacfe 100644 --- a/src/content/Docs/_sequence.ts +++ b/src/content/Docs/_sequence.ts @@ -83,7 +83,8 @@ export const docsSequence = [ { label: "Provider Utilization Dashboard"}, { label: "Akash AutoDeployer"}, { label: "Akash Playground"}, - { label: "Ray"} + { label: "Ray"}, + { label: "FLock.io"} ], }, { diff --git a/src/content/Docs/assets/flock_io-stake.png b/src/content/Docs/assets/flock_io-stake.png new file mode 100644 index 0000000000000000000000000000000000000000..9c4c2374f10353c43cc7cb289d08d8459feb9a40 GIT binary patch literal 378336 zcma%i1z1#Fw?8q+ATcu_Aw7eXv~&$MfOM*Wgn&p$cXtfZ-5p{epnym>2nrIy(B0h) z|M7jld+&F@=l)+E&OCECXRV!U@4e!;!qrvf32#&0#=yWJRCtKc#K5?P4!imNK%IATdf zAcy}U3rZns-)_Lh*t++Gy-$uGqZ_iMWD z(AG?ET?R&6)hP9Iy_?OOGT8*K?gdPLgj8lv|H6`_HyES-6?5_;wq)YoverSz0|K@m 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