Projects with this topic
-
-
-
Project Status Update Requests from HTML form sent via HTTP to cloud automation platform Usage
The file in the "sources" folder allows to setup an automaton that receives HTTP requests.
The automaton can thus be triggered from any machine that is connected to the Internet: computer or server or smartphone or other.
The data embedded within each HTTP request should represent a request from a customer of the company. For example, a request from a customer asking to postpone the start of a project, or a request from a customer asking to update the specifications of a project by adding a requirement or a success condition.
Using the data embedded within the HTTP requests, the automaton will perform:
Tone analysis of the comment embedded within the test requests,
Verification of billing status of the requester,
Verification of status of ongoing projects for the requester,
Insertion of a followup task in the Project Management Platform,
Insertion of a message in the Group Messaging Platform.
TestsThe file within the test folder allows you to send HTTP requests to your automaton.
You will need to set the first variables of the file, in order for example to indicate the endpoint url of your automaton.
Then, when this script will run, the test requests will be sent to the automaton.
An error is reported within a log file when the remote webhook does not reply within the expected time span (30 seconds by default, customizable by modifying the script).
The HTTP payload body of the response is also written into the log file.
A few additional pieces of information are also reported within the log file: total communication time, HTTP response code, value of the "Content-Type" HTTP header, etc.
automaton automation workflow aut... business pro... Process Auto... http https HTML forms make.com integromat Bash Bash Scripting bash-script bash scripts Bash Shell bash-shell shell shell script shell-script curl Test Automation automated tests automated te... webhook webhooks project mana... Project mana... project mana... group messag... billing mana... group messaging billing Billing Solu... billing mana...Updated -
-
-
-
A simple CLI utility that uploads file contents to http://t.is.am using a POST request and returns a unique code.
Updated -
Script to leverage various pastebin and file sharing services.
Updated -
C++ LLM Client Using OpenRouter API
This project demonstrates how to integrate Large Language Models (LLMs) into native C++ applications using the OpenRouter API.
Key FeaturesOpenRouter API Integration Connect to a wide range of AI models via OpenRouter's unified API endpoint.
C++ Implementation Written in modern C++ for portability and efficiency.
Command-Line Interface Simple text-based interface for interacting with AI models.
Easy Configuration Set your API key and preferred model in a config.json file: api_key, url, model. Example:
{ "api_key": "", "url": "https://openrouter.ai/api/v1/chat/completions", "model": "deepseek/deepseek-r1-0528-qwen3-8b:free" }
DependenciesC++11-compliant and forward-compatible
libcurl (for HTTP requests)
nlohmann/json (for JSON parsing)
Educational ValueLearn how to integrate third-party APIs in C++
Use C++ to build a minimal conversational AI interface
Serve as a starting point for more advanced native AI applications
Updated -
Setting up a Kubernetes cluster in Qemu VMs
Updated -
-
Simple C++ interface for the Mistral Language Models. Uses the OpenAPI interface provided by Mistral.
Updated -
-
-
Learning playground for Hurl HTTP tests integrated into GitLab CI/CD, including JUnit test reports.
Updated -
-
Custom bash prompt and scripts
Updated -
-
Learning signing Launchpad API requests with shell commands.
Updated -
This is just using as module for my container registry
Updated