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Build AI into your SaaS

Ship AI features without building the AI platform first.

Codapult gives your product one production path for chat, agents, tools, retrieval, guardrails, model routing and usage-aware operations.

Explore the AI docs Get the foundation

One gateway · Provider control · Production metering

ai-request.trace

One execution path

production

Request

One entry point for every AI feature

Chat, agents and background jobs start from the same typed gateway instead of separate provider calls scattered through the app.

$ streamText() · generateText() · batch()

One execution path

Every AI workflow gets the same production controls.

Start with a chat response. Grow into agents, tools, retrieval and asynchronous work without creating a second AI architecture for every feature.

Chat and streaming

Ship responsive AI experiences with persisted conversations and one gateway.

Agents and tools

Let models call product logic through typed, permission-aware tools.

RAG and embeddings

Bring tenant-scoped knowledge into requests when retrieval is enabled.

Guardrails

Keep validation, authorization and policy checks inside every execution path.

Metering and budgets

See tokens, cost, latency and organization usage before surprises reach production.

Playground and batch

Compare prompts and models, then move repeatable work into asynchronous jobs.

AI inside the product

From first prompt to a feature your customers can trust.

The dashboard gives your team a real surface to configure prompts, agents, models, guardrails and usage — while the gateway keeps runtime behavior consistent.

Model catalogue with explicit IDs

Organization-aware quotas and metering

Playground before production release

Codapult workspacecodapult.app
Codapult AI workspace with chat and model controls
A real AI workspace, backed by the same gateway used in production.

Safe context, deliberate defaults

RAG is powerful because it is not automatic.

Enable retrieval when your product is ready. Index by organization, enforce admin permissions and keep embedding cost visible instead of turning context into a blind spot.

Opt-in

RAG stays off until you configure the providers and enable it.

Tenant-scoped

Documents and search results stay inside the active organization.

Measurable

Limits for documents, chunks, scores and batches remain explicit.

Read the RAG architecture

1

gateway

Chat, agents, batch and playground share the same execution contract.

5

control surfaces

Core, chat, agents, batch and playground can be enabled independently.

0

provider lock-in

Model catalogue and adapters keep provider decisions at the edge.

Build AI into a system you still control.

Inspect the gateway, flags and implementation in the docs.

Read AI docs Get Codapult

Works with the model providers and coding agents your team already uses.

Next.js 16
TypeScriptTypeScript
PostgreSQLPostgreSQL
TursoTurso
DrizzleDrizzle ORM
Tailwind CSSTailwind CSS
shadcn/uishadcn/ui
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ResendResend
tRPCtRPC v11
TanStackTanStack
StripeStripe
Lemon SqueezyLemon Squeezy
VercelVercel
Claude CodeClaude Code
CursorCursor
CodexCodex