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LLM Workbench
Local-first playground to test compare & version LLM prompts
Hey Product Hunt community! 👋
We are thrilled to officially launch LLM Workbench v1.0.0 — our first major stable release built for developers, prompt engineers, and AI researchers who need a fast, flexible, and completely private environment to test and evaluate LLMs.
Here is what’s packed into the v1.0.0 milestone:
🧪 Assertions & PASS/FAIL Evaluation: Define validation rules (regex, JSON schema, substring matching) to check output quality instantly across models.
📊 Bulk Dataset Testing: Execute prompt runs against custom CSV/JSON datasets with variable mapping and quick export options.
🛠️ Multi-Turn Tool Calling Mocks: Test agentic function-calling workflows by mocking tool responses on a 2nd-turn execution.
💻 1-Click Local Model Discovery: Instantly discover and switch between local models via Ollama and LM Studio — fully supported in air-gapped/offline setups.
🔍 Side-by-Side Visual Diffs: Compare response differences across up to 4 models simultaneously using side-by-side or unified diff views.
🔐 Zero-Trust Security Vault: Encrypted via AES-256-GCM with session-only keys. Your API keys are kept strictly in memory and never persisted on disk or sent to external servers.
📄 Git-Native .prompt Support: Import and export your prompts as Markdown files with YAML frontmatter for version control.
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About LLM Workbench on Product Hunt
“Local-first playground to test compare & version LLM prompts”
LLM Workbench was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #47 on the daily leaderboard. Local-first multi-LLM workbench for testing, comparing, and versioning prompts across OpenAI, Anthropic, Gemini, Groq & Ollama. - ale94lko/llm-workbench
LLM Workbench was featured in Developer Tools (520.4k followers), Artificial Intelligence (479.9k followers) and GitHub (41.4k followers) on Product Hunt. Together, these topics include over 241k products, making this a competitive space to launch in.
Who hunted LLM Workbench?
LLM Workbench was hunted by Fidel Alejandro Fernandez Arias. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how LLM Workbench stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Fidel Alejandro Fernandez Arias