Progressive hints
Ask for one conceptual hint at a time. Describe what you tried and set a boundary: no full solution or final flag until you request it.
AI CTF / learn, reason, explain
Learn from the challenge, not just the flag.
Use the LLMsRelay API as a study companion for CTF and training labs. Bring a challenge statement, your attempts and the point where you got stuck. Ask for a hint at the depth you choose.
Sign in or create an account. Continue directly to the Uncensored wallet.
Put AI to work on the task
From a stuck attempt to a concept you understand.
Explain a lab concept
Explore encoding, protocol parsing, code behavior or a security principle using the supplied challenge material. Ask the model to expose its assumptions.
Write up your solution
After you solve a challenge, provide your notes and outputs. Request a clear explanation of the reasoning, wrong turns and lesson learned.
A workflow you can verify
- 1
Share the challenge and your attempt
Include the lab rules, supplied code or text, the result you observed and the exact question. Avoid unrelated dumps that obscure the task.
- 2
Choose the amount of help
Request a concept explanation, a question to investigate or the next hint. Work through the suggestion in the training environment yourself.
- 3
Explain what you learned
Compare the model's explanation with your result. Ask for a short writeup and a similar conceptual exercise to test your understanding.
Example prompt
I am working on this permitted CTF training challenge. Here is the statement and what I have tried. Give one conceptual hint, without the final solution or flag. Explain why the hint relates to my observed result.
Ask for a useful result
- One hint at the requested depth
- An explanation tied to your attempt
- A writeup based on your actual solution
Choose the next hint yourself.
Connect your preferred API client and keep your challenge notes in the same conversation while you work through the lab.
One wallet. Usage you control.
One wallet. Usage you control.
Choose a prepaid pack in your dashboard. The $500 and $1,000 packs include extra usage balance.
You pay
$45
Usage balance
$45
You pay
$100
Usage balance
$100
You pay+20% Bonus
$500
Usage balance
$600
You pay+30% Bonus
$1000
Usage balance
$1300
| Model | Context | Input | Output |
|---|---|---|---|
| glm-5-3-uncensored | 262,144 | $4 | $12 |
| glm-5-3-uncensored-1m | 1,000,000 | $12 | $20 |
Rates depend on the selected model. Input, output and cached tokens are billed separately; a dollar balance is not a fixed number of tokens.
Connect your own workflow
- 1Top up the Uncensored wallet in your existing LLMsRelay account.
- 2Create an Uncensored API key in the dashboard.
- 3Set https://api.llmsrelay.com/v1 in your OpenAI-compatible client and choose a public model ID.
Before you connect
Will it always solve a CTF challenge?
No. The model can misread a challenge or suggest an incorrect approach. Ask for reasoning you can check and verify every suggestion in the lab.
Can I use it during a competition?
Check the event rules first. Some competitions restrict AI assistance or external tools. The API does not grant permission to ignore those rules.
Do you provide a CTF platform?
This offering is API access, not a challenge catalogue or an integrated training lab. Use it with a training environment of your choice.
Explore another security workflow
Get help without skipping the learning.
Bring your attempt, set the hint level and use AI to understand the next step.
Top up your AI balanceLLMsRelay provides model API access for authorized security research. Your tools run the tests; you verify the model's analysis.