LM Studio provides local model execution with an OpenAI-compatible API and a GUI model manager.
LM Studio installed.
A model downloaded and loaded.
Install LM Studio from lmstudio.ai.
Load a model.
Start local server (Developer -> Start Server).
Configure in AI Backend settings tab.
Preferred Backend
LM Studio
Select backend.
LM Studio URL
http://127.0.0.1:1234
Server API base URL.
LM Studio Model
lmstudio
Model identifier.
LM Studio API Key
(empty)
Optional bearer token.
LM Studio Headers
(empty)
Extra headers (Header: value).
LM Studio Auto-Start
On
Start server command automatically.
LM Studio Server Command
lms server start
Auto-start command.
LM Studio Timeout
120
Request timeout in seconds.
Use Auto-Start only if your LM Studio server command is stable in the same runtime environment as Burp.
The extension sets max_tokens automatically per request type to ensure complete responses:
Request Type
max_tokens
Chat
4096
Scanner (single request)
2048
Scanner (batch analysis)
4096
Payload generation
1024
Connection refused: verify server is running and URL/port match.
Model not found: confirm model ID from LM Studio server logs.
Timeouts: increase timeout or use smaller model.
Slow responses: local hardware constraints are expected on CPU-only setups.
If a request fails due to a transient network error, the extension retries automatically up to 6 attempts using a bounded stepped backoff (500/1000/1500/2000/3000/4000 ms). A circuit breaker opens after 5 consecutive failures and resets after 30 s. Each retry is logged in the AI Request Logger. See Backends Overview → Retry Behavior.
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