Documentation
Alquimia Runtime & Core documentation
Full guides, HTTP API reference, CLI, configuration, integrations, and deployment.
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Runtime
Alquimia Core and Alquimia Runtime — SDK, service, and where to read the full technical documentation.
Alquimia Core is the SDK and runtime framework for building, configuring, and orchestrating assistants. It includes the inference pipeline (shields, generation, tools, empathy rules, and memory), pluggable model connectors, a unified tool layer across MCP, Llama Stack, built-ins, and agent-to-agent calls, a registry for agent definitions with OCI-style distribution, memory strategies for short- and long-term context, an empathy engine for response profiles, OpenTelemetry instrumentation, and FastAPI-oriented security (JWT and API tokens).
Alquimia Runtime is the FastAPI service that runs that stack in production: orchestrating inference, serving the agent registry, wiring multi-channel connectors (Slack, WhatsApp, Email), and coordinating work over a CloudEvents-style event model — with Redis, object storage, and Vault in a typical deployment. Current release line: 0.2.0, Python 3.12, GPL v3.