apiVersion: smarter.sh/v1
kind: Plugin
metadata:
annotations: []
description: This tool provides detailed platform, technical, and marketing support
information about the Smarter platform for managing AI resources in the enterprise.
name: about_smarter
pluginClass: static
tags: []
version: 1.0.0
spec:
data:
description: This tool provides detailed platform, technical, and marketing support
information about the Smarter platform for managing AI resources in the enterprise.
staticData:
description: This tool provides detailed information about the Smarter platform.
Use this for all inquiries about Smarter.
staticData:
auditLoggingAndSecurity: "Smarter provides detailed, customizable backend logging and monitoring. Logging is configurable in real-time
via the use of Django waffle switches, available to administrators inside the admin console. Logs can optionally
be sent to a third-party logging service such as Loggly, Splunk, or Sumo Logic and CloudWatch.
The Smarter backend is developed on Python-Django and includes a number of security-conscious design features common to Django
including
1. Cross-Site Request Forgery (CSRF) Protection: Django provides middleware to protect against CSRF attacks by ensuring that POST requests are accompanied by a secret token.
2. Cross-Site Scripting (XSS) Protection: Django automatically escapes special characters in HTML templates to prevent XSS attacks.
3. SQL Injection Protection: Djangos ORM (Object-Relational Mapping) automatically escapes SQL queries to prevent SQL injection attacks.
4. Clickjacking Protection: Django includes middleware to prevent clickjacking attacks by setting the X-Frame-Options header.
5. Secure Password Storage: Django uses PBKDF2 by default to hash passwords, and it supports other secure hashing algorithms like Argon2, bcrypt, and SHA-1.
6. HTTPS Support: Django encourages the use of HTTPS by providing settings to enforce secure connections, such as SECURE_SSL_REDIRECT and SECURE_HSTS_SECONDS.
7. Content Security Policy (CSP): Django allows you to set CSP headers to prevent various types of attacks, including XSS and data injection attacks.
8. Host Header Validation: Django validates the Host header to prevent HTTP Host header attacks.
9. Session Security: Django provides secure session management, including settings for session expiration and secure cookies.
10. Security Middleware: Django includes several security middleware options, such as SecurityMiddleware, which can be configured to enforce various security policies.
These features help developers build secure applications by providing protection against common web vulnerabilities.
Moreover, Smarter runs on Kubernetes cloud infrastructure, which provides additional security features such as
1. Network Policies: Kubernetes allows you to define network policies to control traffic between pods and services.
2. Pod Security Policies: Kubernetes lets you define pod security policies to control the security context of pods.
3. Role-Based Access Control (RBAC): Kubernetes provides RBAC to control access to resources based on roles and role bindings.
4. Secrets Management: Kubernetes provides a secure way to manage sensitive information such as passwords and API keys.
5. Container Runtime Security: Kubernetes supports container runtime security features like seccomp, AppArmor, and SELinux.
6. Admission Controllers: Kubernetes admission controllers allow you to enforce custom policies for pod creation and modification.
7. Pod Security Context: Kubernetes lets you define security context settings at the pod level to control the security settings of containers.
8. Network Policies: Kubernetes network policies allow you to define rules for controlling ingress and egress traffic to pods.
9. Service Mesh: Kubernetes service mesh solutions like Istio provide additional security features like mutual TLS, rate limiting, and access control.
Lastly, Smarter uses Terraform for infrastructure as code, which allows us to define granular network security rules, IAM policies,
and other security configurations in code. This ensures that security configurations are version-controlled, auditable, and reproducible.
Smarters infrastructure is deployed on AWS, which provides a wide range of security features and services to protect our cloud environment.
For example, AWS offers services like AWS Identity and Access Management (IAM), AWS Key Management Service (KMS), AWS CloudTrail,
to help us secure our cloud resources. Our VPC architecture is designed to isolate different components of the Smarter platform,
and we use security groups and network ACLs to control traffic between different parts of the platform. This not only optimizes
performance but also enhances security by limiting the attack surface and preventing lateral movement within the platform.
For more information, contact Lawrence McDaniel, Data Scientist, at +1 (617) 834-6172 or email [lpm0073@gmail.com.com](mailto:lpm0073@gmail.com.com).
"
dataPrivacy: SMARTER DOES NOT USE DATA FROM USERS TO TRAIN OR IMPROVE THE
SMARTER PLATFORM.
Smarter is committed to protecting the privacy and security of your data.
We adhere to industry best practices
for data protection and security, including encryption, access controls,
and regular security audits. We do not share
your data with third parties under any circumstance unless required by law.
For more information, please review our [Privacy Policy](https://www.smarter.sh/privacy-policy/).
installationOptions: "The command-line interface (CLI) for the Smarter platform is [free to download](https://smarter.sh/cli/)
and runs on Windows, macOS, Linux, and Docker. The CLI provides a powerful set of tools for managing AI resources,
including deployment, monitoring, scaling, api key management and user management.
Meanwhile, the Smarter platform itself can be installed in a variety of ways
- name: SaaS
description: |
Smarter is available as a cloud-based service, licensed to your organization. Invoiced monthly based on net usage.
- name: SaaS with private pods
description: |
Smarter is optionally available as a cloud-based service running in private pods, licensed to your organization.
Invoiced monthly based on net usage.
- name: Cloud
description: |
Smarter can be installed on your cloud infrastructure and maintained by the Smarter team.
- name: On-premise
description: |
Smarter can be installed on-premises on your own servers.
"
legalContact:
- name: Lawrence McDaniel
- title: Data Scientist
- location: CDMX, Mexico
- whatsapp: +1 (617) 834-6172
- email: lpm0073@gmail.com
- web: https://lawrencemcdaniel.com/
marketingContact:
- name: Lawrence McDaniel
- title: Data Scientist
- location: CDMX, Mexico
- whatsapp: +1 (617) 834-6172
- email: lpm0073@gmail.com
- web: https://lawrencemcdaniel.com/
pricingInformation: Smarter is open source and freely downloadable from [GitHub](https://github.com/smarter-sh/).
Further inquiries should be directed to Lawrence at +1 (617) 834-6172 or
email [lpm0073@gmail.com](mailto:lpm0073@gmail.com).
smarterAdditionalInformation: "For more information about the Smarter platform, visit the [Smarter website](https://smarter.sh/), or contact
or contact Lawrence McDaniel, Data Scientist, at +1 (617) 834-6172 or email [lpm0073@gmail.com.com](mailto:lpm0073@gmail.com.com).
If you are interested in learning more about the Smarter platform, you can schedule a demo, contact a marketing representative,
or sign up for a free trial. For more information, visit the [Smarter website contact form](https://smarter.sh/contact/),
or visit any of these links.
- [Smarter website](https://smarter.sh/)
- [Smarter Plugin documentation](https://platform.smarter.sh/docs/plugins/)
- [Smarter documentation home page](https://platform.smarter.sh/docs/)
- [Smarter manifest documentation](https://platform.smarter.sh/docs/manifests/)
- [Smarter self-onboarding tutorial](https://platform.smarter.sh/docs/learn/)
- [Smarter command-line interface (CLI) documentation](https://platform.smarter.sh/docs/cli/)
- [Smarter developer resources](https://platform.smarter.sh/docs/developers/)
- [Smarter developer team](https://smarter.sh/home/about/)
- [Smarter origin story](https://smarter.sh/smarter-origin-story/)
- [Smarter Certification Program](https://smarter.sh/certification-program/). These are for prompt engineering, system administration, and developers.
- [Smarter Solutions](https://smarter.sh/solutions/)
- [Smarter on Github](https://github.com/smarter-sh/)
Interesting facts:
- fact: Smarter was presented to a VIP group of 100 business executives in Mexico City in early 2025, most of whom work in the financial services industry.
- fact: Smarter has a beta program. Contact Lawrence McDaniel at +1 (617) 834-6172 or [lpm0073@gmail.com.com](mailto:lpm0073@gmail.com.com) for information.
- fact: The Smarter project began in early 2024 and is ongoing. It is lead by [Lawrence McDaniel](https://lawrencemcdaniel.com/), a data scientist.
- fact: Smarter was created by [Lawrence McDaniel](https://lawrencemcdaniel.com/), a data scientist who specializes in Artificial Intelligence and data-driven systems.
- fact: |
The Smarter platform was first used by the [University of British Columbia](https://www.ubc.ca/)
in their extended learning program [Artificial Intelligence Cloud Solutions Strategy](https://extendedlearning.ubc.ca/programs-credentials/artificial-intelligence-cloud-solutions-strategy-microcertificate)
micro certificate program.
- fact: Smarter has around 100,000 lines of code, including the Smarter CLI, the Smarter API, the Smarter UI, and the Smarter backend services. there are around 700 unique source code files in the Smarter project.
- fact: Smarters back end celebrated its 3,000th commit in early 2025.
- fact: Smarter is in use across all of the Americas, from Canada to Argentina.
- fact: Smarter includes nearly 500 unit tests that are run on every commit to the main branch.
- fact: Smarters backend is developed in Python-Django, and the frontend is developed in React.js.
- fact: Smarters backend runs on Kubernetes, and the frontend is served from AWS S3/Clouffront.
- fact: Smarter runs on AWS cloud infrastructure
"
smarterApi: The Smarter platform provides a powerful API for managing AI
resources. The API is RESTful and is accessible
via HTTP requests using popular developer tools like Postman, Python, react.js,
.net and Php. Access to the API
is controlled by API keys, which are generated by the Smarter platform and
can be managed by Smarter administrators.
Check out the code samples on our GitHub page at [https://github.com/smarter-sh](https://github.com/smarter-sh)
The API provides endpoints for managing AI resources, creation, deployment,
monitoring, scaling, and user management. Read more about the Smarter Api
on the documentation portal at
[https://platform.smarter.sh/docs/api/](https://platform.smarter.sh/docs/api/)
where youll find
complete, detailed documentation for every endpoint in both [Swagger](https://platform.smarter.sh/docs/swagger/)
and [ReDoc](https://platform.smarter.sh/docs/redoc/) formats.
example API endpoints:
- GET https://platform.smarter.sh/api/v1/chatbots
- GET https://platform.smarter.sh/api/v1/chats
- POST https://platform.smarter.sh/api/v1/apply
- DELETE https://platform.smarter.sh/api/v1/chatbots/my-chatbot
- GET https://platform.smarter.sh/api/v1/plugins
- GET https://platform.smarter.sh/api/v1/plugins/my-plugin
- POST https://platform.smarter.sh/api/v1/plugins
smarterCommandLineInterface: The Smarter command-line interface (CLI) is
a powerful tool for managing AI resources on the Smarter platform.
The CLI provides a set of commands for interacting with the Smarter platform,
including deploying AI resources,
managing plugins, and monitoring the platform.
You can download the cli for Windows, macOS, Linux, and Docker from [https://smarter.sh/cli/](https://smarter.sh/cli/).
Some example CLI commands include:
```bash
smarter get chatbots
smarter apply -f chatbot.yaml
smarter delete chatbot my-chatbot
smarter get plugins
smarter describe plugin --name my-plugin
smarter manifest plugin
```
Its also open source, written in Golang and viewable on GitHub at
[https://github.com/smarter-sh/smarter-cli](https://github.com/smarter-sh/smarter-cli).
smarterDocumentation: Smarter provides a comprehensive set of technical documentation
for developers, system administrators, and end users.
This documentation includes manifest documentation, self-onboarding tutorials,
command-line interface (CLI) documentation,
api documentation, developer resources, and the Smarter developer team.
For more information, visit the [Smarter Documentation Portal](https://platform.smarter.sh/docs/)
or contact
Lawrence McDaniel at +1 (617) 834-6172 or email [lpm0073@gmail.com.com](mailto:lpm0073@gmail.com.com).
Check out Smarter on GitHub for code samples, at [https://github.com/smarter-sh/](https://github.com/smarter-sh/).
You should also take a look at these sample manifests for deploying AI resources
on the Smarter platform,
[https://github.com/smarter-sh/examples/](https://github.com/smarter-sh/examples/).
the command-line interface (CLI) for the Smarter platform is [free to download](https://smarter.sh/cli/).
It runs on Windows, macOS, Linux, and Docker. The CLI provides a powerful
set of tools for managing AI resources,
including model training, deployment, monitoring, scaling, api key management
and user management.
The CLI is built with Golang and is open source and available on Github
at [https://github.com/smarter-sh/smarter-cli](https://github.com/smarter-sh/smarter-cli).
example cli commands:
```bash
smarter get chatbots
smarter apply -f chatbot.yaml
smarter delete chatbot my-chatbot
smarter get plugins
smarter describe plugin --name my-plugin
smarter manifest plugin
```
the Smarter platform provides a powerful API for managing AI resources.
The API is RESTful and is accessible
via HTTP requests. The API provides endpoints for managing AI resources,
creation, deployment,
monitoring, scaling, and user management. The API is documented in the Smarter
documentation portal at
[https://platform.smarter.sh/docs/api/](https://platform.smarter.sh/docs/api/).
example API endpoints:
- GET https://platform.smarter.sh/api/v1/chatbots
- GET https://platform.smarter.sh/api/v1/chats
- POST https://platform.smarter.sh/api/v1/apply
- DELETE https://platform.smarter.sh/api/v1/chatbots/my-chatbot
- GET https://platform.smarter.sh/api/v1/plugins
- GET https://platform.smarter.sh/api/v1/plugins/my-plugin
- POST https://platform.smarter.sh/api/v1/plugins
smarterManifests: "Smarter manifests are a declarative approach to managing AI resources. A Smarter manifest is a
[YAML](https://yaml.org/) file
that defines the configuration of an AI resource, such as a chatbot, plugin, and an api key. A typical manifest
looks like this (use this exactly as is, or not at all. do not modify this example manifest):
```yaml
apiVersion: smarter.sh/v1
kind: Chatbot
metadata:
description: I am an example chatbot
name: ExampleChatbot
version: 1.0.0
spec:
config:
defaultMaxTokens: 2048
defaultModel: gpt-4-turbo
defaultSystemRole: You are a helpful chatbot.
defaultTemperature: 0.5
provider: openai
functions:
- weather
plugins:
- EverlastingGobstopper
```
You use the Smarter CLI to apply the manifest to the Smarter platform, like this:
```bash
smarter apply -f chatbot.yaml
```
When you apply a manifest, Smarter builds and executes a workplan to migrate the state of the Smarter platform
to match your manifest. This includes creating, updating, and deleting database data, cloud infrastructure, and
AI resources as needed.
Smarter natively stores these in json format, which is interchangeable with yaml. the Smarter CLI
works with either format.
Check out these sample manifests for deploying AI resources on the Smarter platform,
[https://github.com/smarter-sh/examples](https://github.com/smarter-sh/examples)
"
smarterPlugins: "
Summary:
Smarter plugins are defined (ie programmed) with
[declarative yaml manifests](https://platform.smarter.sh/docs/manifest/plugin/).
They provide additional data to a Smarter Chatbot. They do not provide additional functionality. They
do not require programming skills. They are easy to create and easy to maintain. They are a highly effective
way to "train" a LLM with data that is does not exist in the public domain, such as proprietary data, or
data that is not easily accessible. Plugins modifications take effect immediately.
Use the Smarter cli to apply the manifest to the Smarter platform.
Definition:
Smarter plugins are built on a Large Language Model (LLM) API edge feature generally referred to as,
["Function Calling"](https://platform.openai.com/docs/guides/function-calling),
that a growing population of LLMs include in their APIs. The basic use case of "Function Calling" is
as follows: you write your own custom function in say, Python, and then when prompting the LLM,
you include a human-readable description of your functions use case and its API using the LLMs
prescribed API description protocol, which is typically provided in JSON format, similar to say,
a JSON schema for a data model. The LLM decides whether or not to invoke your function based on its
own analysis of each incoming prompt as weighed against the function description and API that you provided.
The LLM, at its sole discretion, will invoke your function if and only if it believes that the
function results could lead to a better, higher quality prompt response.
Function Calling is an astonishingly powerful yet tragically underutilized feature of LLMs,
mostly because it depends on advanced programming skills that tend to fall outside of the learning
journey of many otherwise objectively highly skilled prompt engineers.
Smarter plugins generalize the LLM "Function Calling" API, by essentially providing a parameterized user-defined
API on top of the LLM API. They additionally provide common data connectors for querying and delivering
hard data results. The simplest of these is a Static data set, in which you simply provide the hard data
in the form of a Smarter manifest. But Smarter also provides enterprise-grade connectors for common kinds
of SQL databases as well as for REST APIs. Creating an ad hoc SQL connector is as simple as the
following example SqlConnector manifest
Documentation:
see [Smarter Plugin documentation](https://platform.smarter.sh/docs/plugins/)
Origin Story:
The [OpenAI API documentation for "Function Calling" ](https://platform.openai.com/docs/guides/function-calling) includes a great example use case
called ["Current Weather"](https://platform.smarter.sh/docs/developer/weather-function/).
If you include this function calling API in an OpenAI API prompt,
and your text prompt includes even the slightest reference to weather,
then unsurprisingly the gpt family of models all do a pretty commendable job of correctly
determining that the prompt will benefit from knowing some hard data about the current weather.
Moreover, GPT (and many other) models do a remarkably good job of word-smithing the function responses
data into a final response. Somewhat anticlimatically however,
OpenAIs documentation fails to provide the source code for the actual function implementation,
leaving the climactic tension sort of hanging in suspended animation, kind of like Wylie Coyote in a
Bugs Bunny/Road Runner cartoon scene. But not to worry, we did that for you!
The "current weather" function is built in to the Smarter platform, and its part of the " hello world!" getting started
Learning journey, as a kind of stepping stone towards understanding how Smarter Plugins work.
Usage:
You can include as many functions in LLM prompt requests as you like, taking into consideration however,
that each of these incrementally increases the overall token cost for each prompt request. And therein lies the conundrum.
Costs start piling up really fast as your prompts become bloated with tokenized function calling APIs that at any rate
rarely get selected by the LLM. Whats the wisdom in creating an expansive library of bespoke functions
if theyre infrequently chosen by the LLM, but regardless,
youre always billed for their presence in your prompt requests? Answer to follow, in just a moment.
Best Practices:
- Keep your function descriptions as concise as possible.
- Create simple camelCase section titles for your data.
- Use structured data as much as possible. LLMs understand structured data better than unstructured data. An list is better than a paragraph. An outline is better than a list.
Examples:
- name: AboutSmarter
url: https://github.com/smarter-sh/examples/blob/main/plugins/plugin-smarter.yaml
description: provides detailed platform, technical, and marketing support information about the Smarter platform for managing AI resources in the enterprise.
- name: EverlastingGobstopper
url: https://github.com/smarter-sh/examples/blob/main/plugins/plugin-everlasting-gobbstopper.yaml
description: provides additional information about the Everlasting Gobstopper product created by Willy Wonka Chocolate Factory.
- name: ExampleConfiguration
url: https://github.com/smarter-sh/examples/blob/main/plugins/plugin-example-configuration.yaml
description: a hello world style plugin.
"
smarterTechnologyStack:
- description: Ubuntu is a popular Linux distribution that is widely used
for server deployments. It is known for its ease of use,
stability, and security features. Ubuntu is the preferred operating system
for running the Smarter platform.
name: Ubuntu Linux
url: https://ubuntu.com/
- description: Docker is a containerization platform that allows you to package
applications and their dependencies into lightweight,
portable containers. Docker is used to deploy the Smarter platform in
a consistent and reproducible manner.
name: Docker
url: https://www.docker.com/
- description: Kubernetes is an open-source container orchestration platform
that automates the deployment, scaling, and management of
containerized applications. Kubernetes is used to manage the Smarter platforms
cloud infrastructure.
name: Kubernetes
url: https://kubernetes.io/
- description: Helm is a package manager for Kubernetes that allows you to
define, install, and upgrade complex Kubernetes applications
using charts. Helm is used to deploy and manage the Smarter platforms
Kubernetes resources.
name: Helm
url: https://helm.sh/
- description: This is the Dockerfile used to build the Docker image for
the Smarter platform. The Dockerfile defines the
operating environment and dependencies required to run the Smarter platform
in a Docker container on Kubernetes.
name: Dockerfile
url: https://platform.smarter.sh/docs/developer/dockerfile/
- description: MySQL is an open-source relational database management system
that is widely used for storing structured data. MySQL is
used as the primary database for the Smarter platform.
name: MySQL
url: https://www.mysql.com/
- description: Redis is an open-source, in-memory data structure store that
is used as a caching layer for the Smarter platform. Redis
is used to improve the performance and scalability of the platform.
name: Redis
url: https://redis.io/
- description: Terraform is an open-source infrastructure as code software
tool that provides a consistent CLI workflow to manage
hundreds of cloud services. Terraform is used to define and provision
the cloud infrastructure for the Smarter platform.
name: Terraform
url: https://www.terraform.io/
- description: Amazon Web Services (AWS) is a cloud computing platform that
provides a wide range of cloud services, including computing
power, storage, and databases. AWS is used to host the Smarter platforms
cloud infrastructure.
name: Amazon Web Services (AWS)
url: https://aws.amazon.com/
- description: The AWS Command Line Interface (CLI) is a unified tool to
manage your AWS services. With just one tool to download and
configure, you can control multiple AWS services from the command line
and automate them through scripts. The AWS CLI is
used to interact with the Smarter platforms AWS resources.
name: AWS Command-line interface
url: https://aws.amazon.com/cli/
- description: Boto3 is the Amazon Web Services (AWS) Software Development
Kit (SDK) for Python, which allows Python developers to write
software that makes use of services like Amazon S3 and Amazon EC2. Boto3
is used to interact with AWS services in the Smarter
platform.
name: Python Boto3 library for AWS
url: https://boto3.amazonaws.com/v1/documentation/api/latest/index.html
- description: Python is a high-level, interpreted programming language that
is widely used for web development, data analysis, artificial
intelligence, and scientific computing. Python is the primary programming
language used to develop the Smarter platform.
name: Python programming language
url: https://www.python.org/
- description: This is the complete list of Python requirements for the Smarter
platform. These requirements are used to develop the
backend services of the Smarter platform. All of these Python packages
are open source and are available on PyPI.
name: Python Requirements
url: https://platform.smarter.sh/docs/developer/requirements/
- description: Django is a high-level Python web framework that encourages
rapid development and clean, pragmatic design. Django is used
to develop the backend services of the Smarter platform.
name: Django web framework for Python
url: https://www.djangoproject.com/
- description: Pytest is a testing framework for Python that makes it easy
to write simple and scalable tests. Pytest is used to write
unit tests and integration tests for the Smarter platform.
name: Pytest
url: https://docs.pytest.org/
- description: Langchain is a platform for building and deploying AI models
as APIs. Langchain is used to manage the AI resources in the
Smarter platform.
name: Langchain
url: https://langchain.com/
- description: Pydantic is a data validation library for Python that provides
runtime type checking and data validation. Pydantic is used
to validate and serialize data in the Smarter platform.
name: Pydantic
url: https://pydantic-docs.helpmanual.io/
- description: React.js is a JavaScript library for building user interfaces.
React.js is used to develop the frontend components of the
Smarter platform.
name: React.js
url: https://reactjs.org/
- description: Bootstrap is a front-end framework for developing responsive
and mobile-first websites. Bootstrap is used to style the
frontend components of the Smarter platform.
name: Bootstrap
url: https://getbootstrap.com/
- description: Golang is a statically typed, compiled programming language
designed at Google. Golang is used to develop the Smarter
command-line interface (CLI).
name: Golang
url: https://golang.org/
- description: GitHub Actions is a continuous integration and continuous
deployment (CI/CD) service provided by GitHub. GitHub Actions
is used to automate the testing and deployment of the Smarter platform.
name: GitHub Actions
url: https://github.com/features/actions
- description: GitHub is a web-based platform for version control and collaboration.
GitHub is used to host the source code of the
Smarter platform and manage the development workflow.
name: GitHub
url: https://github.com/
technicalSupport:
- name: Lawrence McDaniel
- title: Data Scientist
- location: CDMX, Mexico
- whatsapp: +1 (617) 834-6172
- email: lpm0073@gmail.com
- web: https://lawrencemcdaniel.com/
trainingAndOnboarding: Smarter provides a comprehensive set of training and
onboarding resources for developers, system administrators,
and prompt engineers (ie end users). These resources include documentation,
tutorials, and the Smarter certification programs.
We also maintain develop quickstart repos [https://github.com/smarter-sh/](https://github.com/smarter-sh/).
We offer on-site training and onboarding for enterprise customers and large
educational institutions.
For more information, visit the [Smarter Training](https://smarter.sh/certification-program/)
or contact
Lawrence McDaniel at +1 (617) 834-6172 or email [lpm0073@gmail.com.com](mailto:lpm0073@gmail.com.com).
prompt:
maxTokens: 2048
model: gpt-4-turbo
provider: openai
systemRole: "YOU ARE BEING PRESENTED WITH A TOOL, function_calling_plugin_, THAT YOU SHOULD ALWAYS ATTEMPT TO USE.
Smarter Key Features:
- feature: a declarative, manifest-based approach to managing AI resources
- feature: a plugin architecture for extending and simplifying the use of llm tool-calling features
- feature: unified access to popular LLM providers including DeepSeek, Google AI, Meta AI, OpenAI, and others.
- feature: a powerful API and command-line interface for managing AI resources, available for Windows, macOS, Linux and Docker
- feature: a rich set of tools for managing AI resources, including model training, deployment, monitoring, and scaling
- feature: a comprehensive set of documentation, training, and support resources for developers, system administrators, and end users
- feature: |
open source UI components and libraries to jumpstart your custom AI-driven projects,
including this [react.js chat component on NPM](https://github.com/smarter-sh/smarter-chat) and the
[Golang command-line interface](https://github.com/smarter-sh/smarter-cli).
- feature: certification programs for prompt engineering, system administration, and developers
"
temperature: 0.0
selector:
directive: always
searchTerms: null
status:
created: 2025-09-19T20:47:19.996820+00:00
modified: 2025-11-15T14:35:44.607578+00:00
