AI agent platform

The best agent for the job, at a cost you can see.

Build agents for any use case, ground them in your knowledge, and tune every setting. Lumagen scores each change on your own scenarios and prices every call, so better answers never come with a surprise bill.

What agents can do

One agent for support, sales, billing, onboarding, or the job nobody has named yet.

Build as many as you need. Each gets only what its job calls for: knowledge, tools, reasoning, a voice, the files people send.

support-deskin your app
My blender arrived cracked. photo.jpg

search_knowledgeReturns policy · p. 7

create_returnRMA-4821 opened

Sorry about that. I've opened return RMA-4821 — a prepaid label is in your inbox.

Sources

1Returns policyp. 72photo.jpgregion

Answer from your knowledge

PDFs, text, audio, video and images, cited down to the page, timestamp or region it came from.

Act through tools

Call HTTP APIs, MCP servers and web search, with credentials kept in project secrets, not prompts.

Think as much as it should

Full, brief or silent reasoning, the model's thinking level, and a budget of calls per reply.

Take voice calls

Its own prompt, first line, model and voice, cloned from a sample if you like, in 33 languages.

Read what people send

Images, audio, video, PDFs and documents, up to five files in a single message.

Knowledge

Drop in anything. Get answers that point to the exact page, second or pixel.

Documents, recordings, videos and images become knowledge your agents search — and every answer shows where it came from.

PDFTextAudioVideoImageURL
knowledge graph/6 sources · 22 chunkstop_k 5 · threshold 0.72

⌕refund window for opened items

Results

0.91Returns policy.pdfp. 7Opened items can be returned within 30 days if all accessories are included.
0.86Onboarding call.mp302:14Opened items come back within thirty days, no restocking fee.
0.81Support macros.txt§12For opened electronics, confirm the serial number before approving.
0.77Returns policy.pdfp. 8Refunds go back to the original payment method within 5 business days.
0.74Support macros.txt§14Start the return from Orders → Return item, then send the label macro.
0.68Sales playbook.pdfp. 3below 0.72Trial customers can cancel any time in the first 14 days.
citation/exact source

Returns policy.pdfp. 7

Opened items can be returned within 30 days if all accessories are included.

Anything goes in

Upload files, paste text or point at a link. Each source is summarized and split into chunks for you.

See how it connects

Every source becomes a graph of its chunks, so you can see what sits next to what before an agent ever reads it.

Tune what's retrieved

Embedding model, top_k, similarity threshold and surrounding chunks — then test a question and see exactly what comes back.

Every reply, itemized

Know what each answer cost, and why.

Every call is timed, counted and priced. Tune with numbers in front of you, not a bill at the end of the month.

Latency, taken apart

Dispatch, first token, thinking, tools and answer — see which part is slow.

Tokens by class

Cached, fresh, reasoning and answer tokens, with the cache-hit rate that keeps bills down.

Cost in your currency

Every call priced, every conversation totalled, in US dollars or any currency you pick at today's rate.

Usage over time

Cost, tokens and calls by model and agent, for the last day, week or quarter.

support-desk/reply usage$0.00185 · USD

Latency

1.84s

First token

0.42s

Speed

86 tok/s

Calls

3

Cost

$0.00185

Where the time went

Dispatch60msFirst token360msThinking520msTools410msAnswer490ms

Tokens72% from cache

Cached input12,140Base input3,920Reasoning610Answer284

Where the money wentcache saved $0.00224

Cached input$0.00018Base input$0.00078Reasoning$0.00061Answer$0.00028

Context

≈16.9k / 1.05M · 2%

Cost · last 7 dayslargefast

Quality you can prove

Better answers, checked before anyone sees them.

Write the conversations that matter once. Every prompt, model or setting change is scored against them, so you know what improved and what it costs.

optimization/12 scenarios cleared 90%
target
71%
80%
87%
93%
BaselineIteration 1Iteration 2Iteration 3

Scenarios with branching turns and more than one right answer

Scored on expected text, a weighted rubric with must-nots, and the tools it picked

A judge model you choose, repeated runs to smooth out noise

Optimization rewrites prompts and temperature until it clears your bar

recommendation/3 changes71% → 93% · +22 pts

temperature0.7→0.3

0 · precise1 · creative

system prompt

You are the support assistant for Acme.
−Answer as helpfully as you can.
+Answer only from the knowledge base; if it isn't there, say so.
+Quote the policy section you used.
+Keep replies under 80 words.
Escalate billing disputes to a person.

search_knowledge· tool prompt

−Search the docs.
+Search return and shipping policies first; prefer the newest version.
Nothing changes until you apply it. Apply recommendation
same scenarios/two models
large model94% · $0.0062/reply
fast model92% · $0.0011/reply

5.6× cheaperfor 2 points of accuracy. Try a model on a test run before you switch, and nothing is saved until you choose.

Try Lumagen

Build it, measure it, then ship it.

Start with a guided trial: we build your first agent with you, on your knowledge and your scenarios. Leave your email and we'll set it up.

A guided trial

We build your first agent with you, on your own knowledge and the conversations that matter to you.

A team alongside you

Work with us closely, from the first agent to every one after it.

Pricing you can negotiate

When the trial has shown what your agents can do, we'll agree on a plan that works for you.

trial/request access