Agent.Workbench
Powered by DeepSeek V4 · 1M token context

PROCESS ANYTHING.

Drop files. Pick a template. Get a structured AI report — code review, contract summary, repo Q&A, document insights — in one shot. No prompt engineering, no chunking.

1M
tokens / run
5
templates
2
free runs/day

Built for the whole thing,
not a slice of it.

Most tools chunk your input and lose the thread. Agent Workbench reads everything at once.

📦

Whole repos in one go

Drop a zip of your codebase. DeepSeek V4's million-token context reads everything at once — no chunking, no lost cross-references.

Streaming output

Watch the report appear in real time. Stop waiting on opaque API calls that take a minute to return nothing.

🧰

Templates that work

Code Review, Contract Summary, Repo Q&A, Document Insights, Custom — production-tuned system prompts behind every one.

What people use it for.

Senior engineers

Drop a 50k-line repo before a refactor. Get a structured review of bugs, security issues, and design smells in 90 seconds.

Founders & legal

Upload a 200-page MSA. Get a brief: parties, term, payment, termination, red-flag clauses, action items.

Onboarding new devs

"How does the auth layer work?" — Repo Q&A answers using only what's in your codebase, with file citations.

Researchers & analysts

Ten reports, hundreds of pages. Document Insights extracts findings, dates, entities, and open questions in one structured view.

Pay only for what you use.

No free trial games. 2 free runs per day, then per-credit pricing. No subscription required.

Starter
€19 · 100 runs

One-time purchase. Never expires.

  • 100 agent runs (one-time)
  • Up to 1M tokens / run
  • All templates
  • Email support
Unlimited
€99 /month

Unlimited runs. Cancel anytime.

  • Unlimited runs (fair-use 200/day)
  • Up to 1M tokens / run
  • All templates + early access
  • Cancel anytime

Common questions.

What is DeepSeek V4 and why does the 1M context window matter?

DeepSeek V4 is a frontier LLM with a 1 million-token context window. That's roughly 50,000–100,000 lines of code or a 700-page document — read in one shot, with no chunking. Most existing tools split your input into pieces and lose cross-references. Agent Workbench doesn't.

Is my code or document data stored?

Files are processed in memory and used only for your run. We persist the prompt, output, and metadata for your account history; we do not retain raw uploaded files after the job completes. Outputs are not used to train any model.

How is "1 run = 1 credit" calculated?

One credit = one full agent run, regardless of input size up to 1M tokens. If a run fails on our side, your credit is refunded automatically.

What if my upload is over 1M tokens?

The app refuses runs over the model's context limit and tells you the size. For very large inputs, we recommend splitting by directory or topic and running multiple agents.

Can I get a refund?

Unused credits are refundable within 14 days of purchase. Email support@wpsani.store.