Commit graph

7 commits

Author SHA1 Message Date
Sébastien Han
c4cb6aa8d9
fix: prevent telemetry from leaking sensitive info
Prevent sensitive information from being logged in telemetry output by
assigning SecretStr type to sensitive fields. API keys, password from
KV store are now covered. All providers have been converted.

Signed-off-by: Sébastien Han <seb@redhat.com>
2025-09-29 09:54:41 +02:00
Ashwin Bharambe
9583f468f8
feat(starter)!: simplify starter distro; litellm model registry changes (#2916) 2025-07-25 15:02:04 -07:00
Ihar Hrachyshka
9e6561a1ec
chore: enable pyupgrade fixes (#1806)
# What does this PR do?

The goal of this PR is code base modernization.

Schema reflection code needed a minor adjustment to handle UnionTypes
and collections.abc.AsyncIterator. (Both are preferred for latest Python
releases.)

Note to reviewers: almost all changes here are automatically generated
by pyupgrade. Some additional unused imports were cleaned up. The only
change worth of note can be found under `docs/openapi_generator` and
`llama_stack/strong_typing/schema.py` where reflection code was updated
to deal with "newer" types.

Signed-off-by: Ihar Hrachyshka <ihar.hrachyshka@gmail.com>
2025-05-01 14:23:50 -07:00
Ashwin Bharambe
928a39d17b
feat(providers): Groq now uses LiteLLM openai-compat (#1303)
Groq has never supported raw completions anyhow. So this makes it easier
to switch it to LiteLLM. All our test suite passes.

I also updated all the openai-compat providers so they work with api
keys passed from headers. `provider_data`

## Test Plan

```bash
LLAMA_STACK_CONFIG=groq \
   pytest -s -v tests/client-sdk/inference/test_text_inference.py \
   --inference-model=groq/llama-3.3-70b-versatile --vision-inference-model=""
```

Also tested (openai, anthropic, gemini) providers. No regressions.
2025-02-27 13:16:50 -08:00
Vladislav Bronzov
967cff4533
feat: Add Groq distribution template (#1173)
# What does this PR do?

Create a distribution template using Groq as inference provider.
Link to issue: https://github.com/meta-llama/llama-stack/issues/958


## Test Plan
Run `python llama_stack/scripts/distro_codegen.py` to generate run.yaml
and build.yaml
Test the newly created template by running
`llama stack build --template <template-name>`
`llama stack run <template-name>`
2025-02-25 14:16:56 -08:00
Ashwin Bharambe
314ee09ae3
chore: move all Llama Stack types from llama-models to llama-stack (#1098)
llama-models should have extremely minimal cruft. Its sole purpose
should be didactic -- show the simplest implementation of the llama
models and document the prompt formats, etc.

This PR is the complement to
https://github.com/meta-llama/llama-models/pull/279

## Test Plan

Ensure all `llama` CLI `model` sub-commands work:

```bash
llama model list
llama model download --model-id ...
llama model prompt-format -m ...
```

Ran tests:
```bash
cd tests/client-sdk
LLAMA_STACK_CONFIG=fireworks pytest -s -v inference/
LLAMA_STACK_CONFIG=fireworks pytest -s -v vector_io/
LLAMA_STACK_CONFIG=fireworks pytest -s -v agents/
```

Create a fresh venv `uv venv && source .venv/bin/activate` and run
`llama stack build --template fireworks --image-type venv` followed by
`llama stack run together --image-type venv` <-- the server runs

Also checked that the OpenAPI generator can run and there is no change
in the generated files as a result.

```bash
cd docs/openapi_generator
sh run_openapi_generator.sh
```
2025-02-14 09:10:59 -08:00
Aidan Do
e1f42eb5a5
[#432] Add Groq Provider - chat completions (#609)
# What does this PR do?

Contributes towards issue (#432)

- Groq text chat completions
- Streaming
- All the sampling params that Groq supports

A lot of inspiration taken from @mattf's good work at
https://github.com/meta-llama/llama-stack/pull/355

**What this PR does not do**

- Tool calls (Future PR)
- Adding llama-guard model
- See if we can add embeddings

### PR Train

- https://github.com/meta-llama/llama-stack/pull/609 👈 
- https://github.com/meta-llama/llama-stack/pull/630


## Test Plan

<details>

<summary>Environment</summary>

```bash
export GROQ_API_KEY=<api_key>

wget https://raw.githubusercontent.com/aidando73/llama-stack/240e6e2a9c20450ffdcfbabd800a6c0291f19288/build.yaml
wget https://raw.githubusercontent.com/aidando73/llama-stack/92c9b5297f9eda6a6e901e1adbd894e169dbb278/run.yaml

# Build and run environment
pip install -e . \
&& llama stack build --config ./build.yaml --image-type conda \
&& llama stack run ./run.yaml \
  --port 5001
```

</details>

<details>

<summary>Manual tests</summary>

Using this jupyter notebook to test manually:
2140976d76/hello.ipynb

Use this code to test passing in the api key from provider_data

```
from llama_stack_client import LlamaStackClient

client = LlamaStackClient(
    base_url="http://localhost:5001",
)

response = client.inference.chat_completion(
    model_id="Llama3.2-3B-Instruct",
    messages=[
        {"role": "user", "content": "Hello, world client!"},
    ],
    # Test passing in groq_api_key from the client
    # Need to comment out the groq_api_key in the run.yaml file
    x_llama_stack_provider_data='{"groq_api_key": "<api-key>"}',
    # stream=True,
)
response
```

</details>

<details>
<summary>Integration</summary>

`pytest llama_stack/providers/tests/inference/test_text_inference.py -v
-k groq`

(run in same environment)

```
llama_stack/providers/tests/inference/test_text_inference.py::TestInference::test_model_list[llama_3b-groq] PASSED                 [  6%]
llama_stack/providers/tests/inference/test_text_inference.py::TestInference::test_completion[llama_3b-groq] SKIPPED (Other inf...) [ 12%]
llama_stack/providers/tests/inference/test_text_inference.py::TestInference::test_completion_structured_output[llama_3b-groq] SKIPPED [ 18%]
llama_stack/providers/tests/inference/test_text_inference.py::TestInference::test_chat_completion_non_streaming[llama_3b-groq] PASSED [ 25%]
llama_stack/providers/tests/inference/test_text_inference.py::TestInference::test_structured_output[llama_3b-groq] SKIPPED (Ot...) [ 31%]
llama_stack/providers/tests/inference/test_text_inference.py::TestInference::test_chat_completion_streaming[llama_3b-groq] PASSED  [ 37%]
llama_stack/providers/tests/inference/test_text_inference.py::TestInference::test_chat_completion_with_tool_calling[llama_3b-groq] SKIPPED [ 43%]
llama_stack/providers/tests/inference/test_text_inference.py::TestInference::test_chat_completion_with_tool_calling_streaming[llama_3b-groq] SKIPPED [ 50%]
llama_stack/providers/tests/inference/test_text_inference.py::TestInference::test_model_list[llama_8b-groq] PASSED                 [ 56%]
llama_stack/providers/tests/inference/test_text_inference.py::TestInference::test_completion[llama_8b-groq] SKIPPED (Other inf...) [ 62%]
llama_stack/providers/tests/inference/test_text_inference.py::TestInference::test_completion_structured_output[llama_8b-groq] SKIPPED [ 68%]
llama_stack/providers/tests/inference/test_text_inference.py::TestInference::test_chat_completion_non_streaming[llama_8b-groq] PASSED [ 75%]
llama_stack/providers/tests/inference/test_text_inference.py::TestInference::test_structured_output[llama_8b-groq] SKIPPED (Ot...) [ 81%]
llama_stack/providers/tests/inference/test_text_inference.py::TestInference::test_chat_completion_streaming[llama_8b-groq] PASSED  [ 87%]
llama_stack/providers/tests/inference/test_text_inference.py::TestInference::test_chat_completion_with_tool_calling[llama_8b-groq] SKIPPED [ 93%]
llama_stack/providers/tests/inference/test_text_inference.py::TestInference::test_chat_completion_with_tool_calling_streaming[llama_8b-groq] SKIPPED [100%]

======================================= 6 passed, 10 skipped, 160 deselected, 7 warnings in 2.05s ========================================
```
</details>

<details>
<summary>Unit tests</summary>

`pytest llama_stack/providers/tests/inference/groq/ -v`

```
llama_stack/providers/tests/inference/groq/test_groq_utils.py::TestConvertChatCompletionRequest::test_sets_model PASSED            [  5%]
llama_stack/providers/tests/inference/groq/test_groq_utils.py::TestConvertChatCompletionRequest::test_converts_user_message PASSED [ 10%]
llama_stack/providers/tests/inference/groq/test_groq_utils.py::TestConvertChatCompletionRequest::test_converts_system_message PASSED [ 15%]
llama_stack/providers/tests/inference/groq/test_groq_utils.py::TestConvertChatCompletionRequest::test_converts_completion_message PASSED [ 20%]
llama_stack/providers/tests/inference/groq/test_groq_utils.py::TestConvertChatCompletionRequest::test_does_not_include_logprobs PASSED [ 25%]
llama_stack/providers/tests/inference/groq/test_groq_utils.py::TestConvertChatCompletionRequest::test_does_not_include_response_format PASSED [ 30%]
llama_stack/providers/tests/inference/groq/test_groq_utils.py::TestConvertChatCompletionRequest::test_does_not_include_repetition_penalty PASSED [ 35%]
llama_stack/providers/tests/inference/groq/test_groq_utils.py::TestConvertChatCompletionRequest::test_includes_stream PASSED       [ 40%]
llama_stack/providers/tests/inference/groq/test_groq_utils.py::TestConvertChatCompletionRequest::test_n_is_1 PASSED                [ 45%]
llama_stack/providers/tests/inference/groq/test_groq_utils.py::TestConvertChatCompletionRequest::test_if_max_tokens_is_0_then_it_is_not_included PASSED [ 50%]
llama_stack/providers/tests/inference/groq/test_groq_utils.py::TestConvertChatCompletionRequest::test_includes_max_tokens_if_set PASSED [ 55%]
llama_stack/providers/tests/inference/groq/test_groq_utils.py::TestConvertChatCompletionRequest::test_includes_temperature PASSED  [ 60%]
llama_stack/providers/tests/inference/groq/test_groq_utils.py::TestConvertChatCompletionRequest::test_includes_top_p PASSED        [ 65%]
llama_stack/providers/tests/inference/groq/test_groq_utils.py::TestConvertNonStreamChatCompletionResponse::test_returns_response PASSED [ 70%]
llama_stack/providers/tests/inference/groq/test_groq_utils.py::TestConvertNonStreamChatCompletionResponse::test_maps_stop_to_end_of_message PASSED [ 75%]
llama_stack/providers/tests/inference/groq/test_groq_utils.py::TestConvertNonStreamChatCompletionResponse::test_maps_length_to_end_of_message PASSED [ 80%]
llama_stack/providers/tests/inference/groq/test_groq_utils.py::TestConvertStreamChatCompletionResponse::test_returns_stream PASSED [ 85%]
llama_stack/providers/tests/inference/groq/test_init.py::TestGroqInit::test_raises_runtime_error_if_config_is_not_groq_config PASSED [ 90%]
llama_stack/providers/tests/inference/groq/test_init.py::TestGroqInit::test_returns_groq_adapter PASSED                            [ 95%]
llama_stack/providers/tests/inference/groq/test_init.py::TestGroqConfig::test_api_key_defaults_to_env_var PASSED                   [100%]

==================================================== 20 passed, 11 warnings in 0.08s =====================================================
```

</details>

## Before submitting

- [ ] This PR fixes a typo or improves the docs (you can dismiss the
other checks if that's the case).
- [x] Ran pre-commit to handle lint / formatting issues.
- [x] Read the [contributor
guideline](https://github.com/meta-llama/llama-stack/blob/main/CONTRIBUTING.md),
      Pull Request section?
- [x] Updated relevant documentation
- [x] Wrote necessary unit or integration tests.
2025-01-03 08:27:49 -08:00