القائمة
Use RocketRide to compose, run, observe, and deploy portable AI pipelines from an IDE or CLI across model providers, vector stores, and agent nodes.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Use Vocode to compose transcription, LLM, speech synthesis, and telephony components into reviewable real-time voice-agent workflows.
Use Claude Legal Skill to guide an agent through contract risk review, CUAD-style clause checks, market benchmarks, and lawyer-ready redline suggestions.
Use SWE-ReX when a coding agent needs a consistent runtime interface for local, containerized, or remote shell sessions with command output, exit codes, interactive tools, and parallel execution.
Use Text Extract API when an agent needs to turn PDFs, Office files, or images into Markdown or structured JSON with local OCR, optional Ollama models, PII removal, and queued batch processing.
Route model calls through Helicone, inspect costs, latency, traces, prompts, and evaluations, then review changes before they ship.
Launch an OpenAI-compatible OpenLLM server for a chosen open model, point an agent runtime at it, and compare behavior before production use.
| name | Build and debug AI pipelines in an IDE with RocketRide |
| slug | build-and-debug-ai-pipelines-in-an-ide-with-rocketride |
| description | Use RocketRide to compose, run, observe, and deploy portable AI pipelines from an IDE or CLI across model providers, vector stores, and agent nodes. |
| github_stars | 3935 |
| verification | security_reviewed |
| source | https://github.com/rocketride-org/rocketride-server |
| author | RocketRide |
| publisher_type | organization |
| category | Developer Tools |
| framework | Multi-Framework |
| tool_ecosystem | {"github_repo":"rocketride-org/rocketride-server","github_stars":3935,"npm_package":"rocketride","npm_weekly_downloads":635} |
Use RocketRide to compose, run, observe, and deploy portable AI pipelines from an IDE or CLI across model providers, vector stores, and agent nodes.
RocketRide IDE extension or RocketRide server, Docker for container deployment, optional Python or TypeScript SDKs
Use the upstream install or setup path that matches your environment:
Requirements and caveats from upstream:
Basic usage or getting-started notes:
| Visual Pipeline Builder | Drag, connect, and configure nodes in VS Code, no boilerplate. Real-time observability tracks token usage, LLM calls, latency, and execution. Pipelines are portable JSON, version-contro...
Install the extension for your IDE. Search for RocketRide in the extension marketplace:
Extracted from upstream docs: https://raw.githubusercontent.com/rocketride-org/rocketride-server/HEAD/README.md
