Runs Python in FL Studio's embedded interpreter to read or modify the open project via FL modules, returning the assigned result or an error traceback.
Review an app template's contract including modules, default configuration, runtime metadata, and generation behavior prior to composing or generating a project from a specific template.
Test smart mock matching for any field name to see which rule applies and what value it will generate. Verify your mock configuration before generating rules.
Installs and starts a Zeus Client app, then verifies its catalog page by checking list cards and, if Pour is enabled, one search; returns a serve choice when Python/Docker setup is ambiguous.
Creates SAS Intelligent Decisioning code files in DS2, Python, or SQL from provided code and an optional signature, then reports whether the code parsed.
Force re-fetch completed mock scores from Medify to update the local cache. Use after finishing a new mock to refresh stale data before analyzing trends.
Retrieve system environment details including OS, Python version, installed libraries, and execution mode before generating code. Helps tailor code to the current setup and avoid errors.
Validate and register a restricted Python filter for later execution on local JSON, YAML, or TXT files, enabling safe custom data filtering and transformation.
Create reusable Python modules in an active Maya session by injecting in-memory functions into sys.modules, enabling agents to define helper libraries that persist during the session.
Analyzes Python repositories to report test-to-code ratio, match test files to source modules, count assertions per test, and identify untested source files without prior indexing.
Traverse project directories, files, and modules to explore SonarCloud structure. Filter by qualifiers, search names, and use branch or PR context to find specific components.
Reload modified bridge Python modules in a running TouchDesigner session to apply code changes without reopening the project, and return the list of reloaded modules.
Execute Python code in an isolated Docker container to create, edit, and analyze Excel files using openpyxl, pandas, numpy, and matplotlib; read from /inputs and write to /outputs.