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4 commits

Author SHA1 Message Date
Charlie Doern
2e5d1c8881 refactor: enforce top-level imports for llama-stack-api
Enforce that all imports from llama-stack-api use the form:

from llama_stack_api import <symbol>

 This prevents external code from accessing internal package structure
 (e.g., llama_stack_api.agents, llama_stack_api.common.*) and establishes
 a clear public API boundary.

 Changes:
 - Export 400+ symbols from llama_stack_api/__init__.py
 - Include all API types, common utilities, and strong_typing helpers
 - Update files across src/llama_stack, docs/, tests/, scripts/
 - Convert all submodule imports to top-level imports
 - ensure docs use the proper importing structure

 Addresses PR review feedback requiring explicit __all__ definition to
 prevent "peeking inside" the API package.

Signed-off-by: Charlie Doern <cdoern@redhat.com>
2025-11-13 14:14:52 -05:00
Charlie Doern
b7480e9c88 feat: refactor llama-stack-api structure
move llama_stack_api.apis... to top level llama_stack_api.

merge provider datatypes and the existing apis.datatypes into a common llama_stack_api.datatypes

update all usages of these packages throughout LLS

Signed-off-by: Charlie Doern <cdoern@redhat.com>
2025-11-13 10:43:45 -05:00
Charlie Doern
85d407c2a0 feat: split API and provider specs into separate llama-stack-api pkg
Extract API definitions, models, and provider specifications into a
standalone llama-stack-api package that can be published to PyPI
independently of the main llama-stack server.

Motivation

External providers currently import from llama-stack, which overrides
the installed version and causes dependency conflicts. This separation
allows external providers to:

- Install only the type definitions they need without server dependencies
- Avoid version conflicts with the installed llama-stack package
- Be versioned and released independently

This enables us to re-enable external provider module tests that were
previously blocked by these import conflicts.

Changes

- Created llama-stack-api package with minimal dependencies (pydantic, jsonschema)
- Moved APIs, providers datatypes, strong_typing, and schema_utils
- Updated all imports from llama_stack.* to llama_stack_api.*
- Preserved git history using git mv for moved files
- Configured local editable install for development workflow
- Updated linting and type-checking configuration for both packages
- Rebased on top of upstream src/ layout changes

Testing

Package builds successfully and can be imported independently.
All pre-commit hooks pass with expected exclusions maintained.

Next Steps

- Publish llama-stack-api to PyPI
- Update external provider dependencies
- Re-enable external provider module tests

Signed-off-by: Charlie Doern <cdoern@redhat.com>
2025-11-12 09:19:40 -05:00
Charlie Doern
43adc23ef6
refactor: remove dead inference API code and clean up imports (#4093)
# What does this PR do?

Delete ~2,000 lines of dead code from the old bespoke inference API that
was replaced by OpenAI-only API. This includes removing unused type
conversion functions, dead provider methods, and event_logger.py.

Clean up imports across the codebase to remove references to deleted
types. This eliminates unnecessary
code and dependencies, helping isolate the API package as a
self-contained module.

This is the last interdependency between the .api package and "exterior"
packages, meaning that now every other package in llama stack imports
the API, not the other way around.

## Test Plan

this is a structural change, no tests needed.

---------

Signed-off-by: Charlie Doern <cdoern@redhat.com>
2025-11-10 15:29:24 -08:00