$ docker run --gpus all -p 8091:8091 codynamics/latch:latest
[latch] runtime starting on http://0.0.0.0:8091
[latch] status=loading profile=cdlac_latch_qwen14b_locked_20260317
[latch] warmup complete status=ready

$ curl -s http://127.0.0.1:8091/health | jq '.status, .default_memory_tokens'
"ready"
1024

$ curl -s http://127.0.0.1:8091/compile_file \
  -H 'Content-Type: application/json' \
  -d '{"filename":"acme-10k.pdf","content_base64":"<base64>"}'
{ "doc_id":"doc_6f3a59b3f8", "status":"ready", "tokens":95030 }

$ curl -s http://127.0.0.1:8091/query \
  -H 'Content-Type: application/json' \
  -d '{"query":"Summarize the company in 3 bullets.","doc_ids":["doc_6f3a59b3f8"]}'
{ "results":[{ "answer":"Acme provides cloud learning software..." }] }

$ docker run --gpus all -p 8091:8091 codynamics/latch:latest
[latch] runtime starting on http://0.0.0.0:8091
[latch] UI available at http://127.0.0.1:8091/

$ curl -s http://127.0.0.1:8091/health | jq '.ready, .service_rev'
true
"latch_product_nomount_20260325"

$ python3 -m webbrowser http://127.0.0.1:8091/
Opening CDLaC-LATCH Console...

# In the console UI:
1. Upload PDFs, DOCX, XLSX, PPTX, TXT, MD, HTML, CSV, JSON, or XML
2. Adjust compile/query controls and inspect runtime defaults from /health
3. Run prompts, inspect telemetry, and save or load workspaces