llama-stack-api 0.7.1

API and Provider specifications for Llama Stack - lightweight package with protocol definitions and provider specs

llama-stack-api

API and Provider specifications for Llama Stack - a lightweight package with protocol definitions and provider specs.

Overview

llama-stack-api is a minimal dependency package that contains:

• API Protocol Definitions: Type-safe protocol definitions for all Llama Stack APIs (inference, agents, safety, etc.)
• Provider Specifications: Provider spec definitions for building custom providers
• Data Types: Shared data types and models used across the Llama Stack ecosystem
• Type Utilities: Strong typing utilities and schema validation

What This Package Does NOT Include

• Server implementation (see llama-stack package)
• Provider implementations (see llama-stack package)
• CLI tools (see llama-stack package)
• Runtime orchestration (see llama-stack package)

Use Cases

This package is designed for:

1. Third-party Provider Developers: Build custom providers without depending on the full Llama Stack server
2. Client Library Authors: Use type definitions without server dependencies
3. Documentation Generation: Generate API docs from protocol definitions
4. Type Checking: Validate implementations against the official specs

Installation

pip install llama-stack-api

Or with uv:

uv pip install llama-stack-api

Dependencies

Minimal dependencies:

• openai>=2.5.0 - For OpenAI-compatible types
• fastapi>=0.115.0,<1.0 - For FastAPI route definitions
• pydantic>=2.11.9 - For data validation and serialization
• jsonschema - For JSON schema utilities
• opentelemetry-sdk>=1.30.0 - For telemetry
• opentelemetry-exporter-otlp-proto-http>=1.30.0 - For OTLP export

Versioning

This package follows semantic versioning independently from the main llama-stack package:

• Patch versions (0.1.x): Documentation, internal improvements
• Minor versions (0.x.0): New APIs, backward-compatible changes
• Major versions (x.0.0): Breaking changes to existing APIs

The version is determined dynamically via setuptools-scm at build time.

Usage Example

from llama_stack_api import (
    Api,
    Inference,
    InlineProviderSpec,
    OpenAIChatCompletionRequestWithExtraBody,
)


# Use protocol definitions for type checking
class MyInferenceProvider(Inference):
    async def openai_chat_completion(
        self, request: OpenAIChatCompletionRequestWithExtraBody
    ):
        # Your implementation
        pass


# Define provider specifications
my_provider_spec = InlineProviderSpec(
    api=Api.inference,
    provider_type="inline::my-provider",
    pip_packages=["my-dependencies"],
    module="my_package.providers.inference",
    config_class="my_package.providers.inference.MyConfig",
)

Relationship to llama-stack

The main llama-stack package depends on llama-stack-api and provides:

• Full server implementation
• Built-in provider implementations
• CLI tools for running and managing stacks
• Runtime provider resolution and orchestration

Contributing

See the main Llama Stack repository for contribution guidelines.

License

MIT License - see LICENSE file for details.

Links

• Main Llama Stack Repository
• Documentation
• Client Library