softwaremill/sttp-ai — Scala Client for AI models

Description and use

**Brief Summary (2‑3 sentences)**
*softwaremill/sttp‑ai* is an open‑source Scala client that wraps a variety of AI model APIs, letting developers add generative‑AI capabilities to their services without building a model stack from scratch. It provides a clean, type‑safe interface, CLI helpers, and metadata about supported models, making it easy to prototype RAG pipelines, agent workflows, or quick AI feature experiments. With a modest star count, recent updates, and a focused Scala ecosystem, it is a practical choice for internal prototypes and early‑stage product features.

**Value**

• **Speed to market:** By handling authentication, request/response serialization, and model‑specific quirks, the library lets teams focus on business logic rather than low‑level API plumbing.
• **Consistency:** A single, type‑safe façade abstracts over multiple providers (OpenAI, Anthropic, etc.), reducing duplicated code and making model swaps straightforward.
• **Extensibility:** Built on top of the popular *sttp* HTTP client, it integrates naturally with existing Scala back‑ends and can be combined with other *sttp* features (e.g., streaming, retries).

**Practical Adoption Path**

1. **Prototype:** Add the library as a dependency, configure the desired provider credentials, and call the high‑level methods to generate text, embeddings, or chat completions.
2. **Iterate:** Use the built‑in CLI or SDK metadata to explore supported models and experiment with prompt engineering or RAG pipelines.
3. **Integrate:** Wrap the client in a service layer, inject it via your DI framework, and add logging/retry policies using *sttp*’s built‑in middleware.
4. **Validate:** Write unit tests against the typed API and, if needed, spin up a mock server to verify behavior before moving to a staging environment.

**Production Readiness**

• **Maturity:** Medium. The library is actively maintained (last commit 2026‑05‑14) and has a modest community (≈90 stars, 16 forks).
• **Stability:** Core functionality (request building, response parsing) is stable, but you should audit the dependency tree for transitive security updates and verify the licensing terms.
• **Operational considerations:** Before production use, perform a small‑scale load test, confirm that error handling and retries meet your SLA, and lock the library version to avoid unexpected breaking changes. With these checks, *sttp‑ai* is suitable for internal services, beta features, or as a stepping stone toward a fully managed AI stack.

Problem

softwaremill/sttp-ai helps add AI capability without starting from a blank model stack.

Outcome

Medium: useful for prototypes or internal workflows, with dependency and maintenance checks before production.

Workflow

• prototype AI features
• build RAG or agent workflows
• evaluate model tooling

Evidence

Scala Client for AI models

Source