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feat(providers): support non-llama models for inference providers (#1200)

Browse source 
This PR begins the process of supporting non-llama models within Llama
Stack. We start simple by adding support for this functionality within a
few existing providers: fireworks, together and ollama.

## Test Plan

```bash
LLAMA_STACK_CONFIG=fireworks pytest -s -v tests/client-sdk/inference/test_text_inference.py \
  --inference-model accounts/fireworks/models/phi-3-vision-128k-instruct
```

^ this passes most of the tests but as expected fails the tool calling
related tests since they are very specific to Llama models

```
inference/test_text_inference.py::test_text_completion_streaming[accounts/fireworks/models/phi-3-vision-128k-instruct] PASSED
inference/test_text_inference.py::test_completion_log_probs_non_streaming[accounts/fireworks/models/phi-3-vision-128k-instruct] PASSED
inference/test_text_inference.py::test_completion_log_probs_streaming[accounts/fireworks/models/phi-3-vision-128k-instruct] PASSED
inference/test_text_inference.py::test_text_completion_structured_output[accounts/fireworks/models/phi-3-vision-128k-instruct-completion-01] PASSED
inference/test_text_inference.py::test_text_chat_completion_non_streaming[accounts/fireworks/models/phi-3-vision-128k-instruct-Which planet do humans live on?-Earth] PASSED
inference/test_text_inference.py::test_text_chat_completion_non_streaming[accounts/fireworks/models/phi-3-vision-128k-instruct-Which planet has rings around it with a name starting w
ith letter S?-Saturn] PASSED
inference/test_text_inference.py::test_text_chat_completion_streaming[accounts/fireworks/models/phi-3-vision-128k-instruct-What's the name of the Sun in latin?-Sol] PASSED
inference/test_text_inference.py::test_text_chat_completion_streaming[accounts/fireworks/models/phi-3-vision-128k-instruct-What is the name of the US captial?-Washington] PASSED
inference/test_text_inference.py::test_text_chat_completion_with_tool_calling_and_non_streaming[accounts/fireworks/models/phi-3-vision-128k-instruct] FAILED
inference/test_text_inference.py::test_text_chat_completion_with_tool_calling_and_streaming[accounts/fireworks/models/phi-3-vision-128k-instruct] FAILED
inference/test_text_inference.py::test_text_chat_completion_with_tool_choice_required[accounts/fireworks/models/phi-3-vision-128k-instruct] FAILED
inference/test_text_inference.py::test_text_chat_completion_with_tool_choice_none[accounts/fireworks/models/phi-3-vision-128k-instruct] PASSED
inference/test_text_inference.py::test_text_chat_completion_structured_output[accounts/fireworks/models/phi-3-vision-128k-instruct] ERROR
inference/test_text_inference.py::test_text_chat_completion_tool_calling_tools_not_in_request[accounts/fireworks/models/phi-3-vision-128k-instruct-True] PASSED
inference/test_text_inference.py::test_text_chat_completion_tool_calling_tools_not_in_request[accounts/fireworks/models/phi-3-vision-128k-instruct-False] PASSED
```
This commit is contained in:
Ashwin Bharambe 2025-02-21 13:21:28 -08:00 • committed by GitHub
parent 9bbe34694d
commit ab54b8cd58
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7 changed files with 103 additions and 74 deletions
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20
tests/client-sdk/inference/test_vision_inference.py
View file

@ -10,14 +10,6 @@ import pathlib
import pytest
@pytest.fixture(scope="session")
def inference_provider_type(llama_stack_client):
providers = llama_stack_client.providers.list()
inference_providers = [p for p in providers if p.api == "inference"]
assert len(inference_providers) > 0, "No inference providers found"
return inference_providers[0].provider_type
@pytest.fixture
def image_path():
return pathlib.Path(__file__).parent / "dog.png"
@ -35,7 +27,7 @@ def base64_image_url(base64_image_data, image_path):
return f"data:image/{image_path.suffix[1:]};base64,{base64_image_data}"
def test_image_chat_completion_non_streaming(llama_stack_client, vision_model_id):
def test_image_chat_completion_non_streaming(client_with_models, vision_model_id):
message = {
"role": "user",
"content": [
@ -53,7 +45,7 @@ def test_image_chat_completion_non_streaming(llama_stack_client, vision_model_id
},
],
}
response = llama_stack_client.inference.chat_completion(
response = client_with_models.inference.chat_completion(
model_id=vision_model_id,
messages=[message],
stream=False,
@ -63,7 +55,7 @@ def test_image_chat_completion_non_streaming(llama_stack_client, vision_model_id
assert any(expected in message_content for expected in {"dog", "puppy", "pup"})
def test_image_chat_completion_streaming(llama_stack_client, vision_model_id):
def test_image_chat_completion_streaming(client_with_models, vision_model_id):
message = {
"role": "user",
"content": [
@ -81,7 +73,7 @@ def test_image_chat_completion_streaming(llama_stack_client, vision_model_id):
},
],
}
response = llama_stack_client.inference.chat_completion(
response = client_with_models.inference.chat_completion(
model_id=vision_model_id,
messages=[message],
stream=True,
@ -94,7 +86,7 @@ def test_image_chat_completion_streaming(llama_stack_client, vision_model_id):
@pytest.mark.parametrize("type_", ["url", "data"])
def test_image_chat_completion_base64(llama_stack_client, vision_model_id, base64_image_data, base64_image_url, type_):
def test_image_chat_completion_base64(client_with_models, vision_model_id, base64_image_data, base64_image_url, type_):
image_spec = {
"url": {
"type": "image",
@ -122,7 +114,7 @@ def test_image_chat_completion_base64(llama_stack_client, vision_model_id, base6
},
],
}
response = llama_stack_client.inference.chat_completion(
response = client_with_models.inference.chat_completion(
model_id=vision_model_id,
messages=[message],
stream=False,