Hello,I’d like to share my new project for interacting with LLM-based API, i.e. ChatGPT, with using MHBP Scenarios.  Scenario is DAG-based definition of steps for prompting LLM-based API, collecting responses, making transformation of such results, creating sub steps.Current capabilities:Store definitions of APIs’ end-points, New API end-points can be easily registeredAgnostic to LLM - can work with any prompt-based APICreate Scenario with simple UIScenario is supporting DAG, Directed acyclic graph, executionAggregating results of prompts in final txt documentMixing different LLM API in one ScenarioApplication is in form for executable located at github, so no needs to publish your keys anywhereSupport multi-tenant-based access - many companies, many usersDeployment can be as desktop application, as SaaS, support different relational databasesShort video of using Scenario with real interaction with ChatGPT API:RoadmapAdd Acceptance criteria to each Step which will be a separate call for LLM’s API for confirmation that Acceptance criteria was met.Add a bulk changing of API used in Steps of ScenarioI will appreciate any feedback about MHBP ScenarioFree to use for very wide variety of cases - personal, research, non-profit, other cases.Wiki -Home · sergmain/metaheuristic Wiki · GitHubGitHubGitHub - sergmain/metaheuristicContribute to sergmain/metaheuristic development by creating an account on GitHub.Sergio Lissner