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8 commits

Author SHA1 Message Date
Sébastien Han
43c1f39bd6
refactor(env)!: enhanced environment variable substitution (#2490)
# What does this PR do?

This commit significantly improves the environment variable substitution
functionality in Llama Stack configuration files:
* The version field in configuration files has been changed from string
to integer type for better type consistency across build and run
configurations.

* The environment variable substitution system for ${env.FOO:} was fixed
and properly returns an error

* The environment variable substitution system for ${env.FOO+} returns
None instead of an empty strings, it better matches type annotations in
config fields

* The system includes automatic type conversion for boolean, integer,
and float values.

* The error messages have been enhanced to provide clearer guidance when
environment variables are missing, including suggestions for using
default values or conditional syntax.

* Comprehensive documentation has been added to the configuration guide
explaining all supported syntax patterns, best practices, and runtime
override capabilities.

* Multiple provider configurations have been updated to use the new
conditional syntax for optional API keys, making the system more
flexible for different deployment scenarios. The telemetry configuration
has been improved to properly handle optional endpoints with appropriate
validation, ensuring that required endpoints are specified when their
corresponding sinks are enabled.

* There were many instances of ${env.NVIDIA_API_KEY:} that should have
caused the code to fail. However, due to a bug, the distro server was
still being started, and early validation wasn’t triggered. As a result,
failures were likely being handled downstream by the providers. I’ve
maintained similar behavior by using ${env.NVIDIA_API_KEY:+}, though I
believe this is incorrect for many configurations. I’ll leave it to each
provider to correct it as needed.

* Environment variable substitution now uses the same syntax as Bash
parameter expansion.

Signed-off-by: Sébastien Han <seb@redhat.com>
2025-06-26 08:20:08 +05:30
ehhuang
d3b60507d7
feat: support auth attributes in inference/responses stores (#2389)
# What does this PR do?
Inference/Response stores now store user attributes when inserting, and
respects them when fetching.

## Test Plan
pytest tests/unit/utils/test_sqlstore.py
2025-06-20 10:24:45 -07:00
Sébastien Han
c20388c424
ci: add python package build test (#2457)
# What does this PR do?

We now test a package build on every PRs.

Closes: https://github.com/meta-llama/llama-stack/issues/2406

Signed-off-by: Sébastien Han <seb@redhat.com>
2025-06-19 18:57:32 +05:30
ehhuang
15f630e5da
feat: support pagination in inference/responses stores (#2397)
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# What does this PR do?


## Test Plan
added unit tests
2025-06-16 22:43:35 -07:00
Ashwin Bharambe
b380cb463f
feat: add postgres deps to starter distro (#2360)
Once we have this, we can use the starter distro for the Kubernetes
cluster demos.
2025-06-03 11:04:23 -07:00
ehhuang
3c9a10d2fe
feat: reference implementation for files API (#2330)
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# What does this PR do?
TSIA
Added Files provider to the fireworks template. Might want to add to all
templates as a follow-up.

## Test Plan
llama-stack pytest tests/unit/files/test_files.py

llama-stack llama stack build --template fireworks --image-type conda
--run
LLAMA_STACK_CONFIG=http://localhost:8321 pytest -s -v
tests/integration/files/
2025-06-02 21:54:24 -07:00
ehhuang
2603f10f95
feat: support postgresql inference store (#2310)
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# What does this PR do?
* Added support postgresql inference store
* Added 'oracle' template that demos how to config postgresql stores
(except for telemetry, which is not supported currently)


## Test Plan

llama stack build --template oracle --image-type conda --run
LLAMA_STACK_CONFIG=http://localhost:8321 pytest -s -v tests/integration/
--text-model accounts/fireworks/models/llama-v3p3-70b-instruct -k
'inference_store'
2025-05-29 14:33:09 -07:00
ehhuang
549812f51e
feat: implement get chat completions APIs (#2200)
# What does this PR do?
* Provide sqlite implementation of the APIs introduced in
https://github.com/meta-llama/llama-stack/pull/2145.
* Introduced a SqlStore API: llama_stack/providers/utils/sqlstore/api.py
and the first Sqlite implementation
* Pagination support will be added in a future PR.

## Test Plan
Unit test on sql store:
<img width="1005" alt="image"
src="https://github.com/user-attachments/assets/9b8b7ec8-632b-4667-8127-5583426b2e29"
/>


Integration test:
```
INFERENCE_MODEL="llama3.2:3b-instruct-fp16" llama stack build --template ollama --image-type conda --run
```
```
LLAMA_STACK_CONFIG=http://localhost:5001 INFERENCE_MODEL="llama3.2:3b-instruct-fp16" python -m pytest -v tests/integration/inference/test_openai_completion.py --text-model "llama3.2:3b-instruct-fp16" -k 'inference_store and openai'
```
2025-05-21 22:21:52 -07:00