Side-by-side Comparison
Run any prompt against multiple models in parallel. Inspect quality, cost, and latency side by side and pick the winner with confidence — not guesswork.
/ PROMPT WORKBENCH
Test, compare, refine prompts at scale
Tscale’s Prompt Workbench is purpose-built for production prompt engineering — evaluate outputs across 100+ models, version every change, and ship prompts you can trust.
Version Control
Every prompt edit, parameter tweak, and dataset change is tracked. Roll back instantly, compare versions, and audit who changed what and when.
Real-time Evaluation
Score outputs on accuracy, helpfulness, and safety with built-in evaluators — or plug in your own custom metrics. Surface regressions before they ship.
Test against 100+ open-source models
Run any prompt across the entire Tscale model library — LLMs, embeddings, vision and speech models — from a single interface. Switch providers mid-experiment and see results instantly without changing tooling.
/ EVALUATION & METRICS
Quantify prompt quality before you ship
Replace gut-feel iteration with rigorous evaluation. Tscale’s workbench ships with built-in metrics, custom evaluators, and human-in-the-loop workflows — so every prompt that reaches production has a paper trail.
- Built-in metrics — BLEU, ROUGE, exact match, semantic similarity and LLM-as-a-judge scoring out of the box.
- Custom evaluators — define your own scoring rubrics in Python, or call any model as a judge.
- Cost & latency tracking — every run logs tokens, spend, and p50/p95 latency per model.
- Dataset-driven tests — replay prompts across golden datasets to catch regressions between versions.
/ INTEGRATIONS
Fits into your existing stack
Whether you live in notebooks, IDEs, or CI pipelines, the Prompt Workbench plugs in seamlessly. Import prompts from anywhere, export to production in a single click.
Notebooks & IDEs
- Jupyter Notebooks
- VS Code Extension
- PyCharm Plugin
- Cursor Compatible
Frameworks
- LangChain
- LlamaIndex
- Haystack
- Semantic Kernel
Deployment
- vLLM Production
- Inference Endpoints
- Kubernetes Service
- Radar API
Data Sources
- S3-compatible Storage
- HuggingFace Hub
- Custom Connectors
Collaboration
- Shared Workspaces
- Reviewer Comments
- Role-based Access
- Audit Logs
Access
- Web Console
- Python SDK
- REST API
- CLI
Performance
Ship prompts 10x faster
Parallel model comparison and instant evaluation reduce iteration cycles from days to hours.
Cut inference costs by 60%
Identify cheaper models that match quality on your specific workload — automatically.
Test against every major LLM
Open-source, proprietary, and domain-specific models — all benchmarked in one place.
Catch regressions before shipping
Automated evaluations surface quality drops across prompt versions and model swaps.
Built for engineering teams
Prompt Engineering
A complete workbench for prompt engineers — version control, A/B testing, dataset replay, and one-click promotion from staging to production.
Learn MoreProduction Guardrails
Built-in safety, PII detection, and quality checks ensure only validated prompts reach your production endpoints and customers.
Learn MorePair with the rest of the stack
Prompt Workbench is the natural starting point for any LLM application. Graduate to training, fine-tuning, and dedicated inference when you’re ready.