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add pytest option to generate a functional report for distribution (#833)
# What does this PR do? add pytest option (`--report`) to support generating a functional report for llama stack distribution ## Test Plan ``` export LLAMA_STACK_CONFIG=./llama_stack/templates/fireworks/run.yaml /opt/miniconda3/envs/stack/bin/pytest -s -v tests/client-sdk/ --report ``` See a report file was generated under `./llama_stack/templates/fireworks/report.md` ## Sources Please link relevant resources if necessary. ## Before submitting - [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case). - [ ] Ran pre-commit to handle lint / formatting issues. - [ ] Read the [contributor guideline](https://github.com/meta-llama/llama-stack/blob/main/CONTRIBUTING.md), Pull Request section? - [ ] Updated relevant documentation. - [ ] Wrote necessary unit or integration tests.
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6 changed files with 324 additions and 6 deletions
45
llama_stack/templates/fireworks/report.md
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45
llama_stack/templates/fireworks/report.md
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@ -0,0 +1,45 @@
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# Report for fireworks distribution
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## Supported Models:
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| Model Descriptor | fireworks |
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|:---|:---|
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| Llama-3-8B-Instruct | ❌ |
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| Llama-3-70B-Instruct | ❌ |
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| Llama3.1-8B-Instruct | ✅ |
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| Llama3.1-70B-Instruct | ✅ |
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| Llama3.1-405B-Instruct | ✅ |
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| Llama3.2-1B-Instruct | ✅ |
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| Llama3.2-3B-Instruct | ✅ |
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| Llama3.2-11B-Vision-Instruct | ✅ |
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| Llama3.2-90B-Vision-Instruct | ✅ |
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| Llama3.3-70B-Instruct | ✅ |
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| Llama-Guard-3-11B-Vision | ✅ |
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| Llama-Guard-3-1B | ❌ |
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| Llama-Guard-3-8B | ✅ |
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| Llama-Guard-2-8B | ❌ |
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## Inference:
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| Model | API | Capability | Test | Status |
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|:----- |:-----|:-----|:-----|:-----|
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| Text | /chat_completion | streaming | test_text_chat_completion_streaming | ✅ |
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| Vision | /chat_completion | streaming | test_image_chat_completion_streaming | Passed |
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| Text | /chat_completion | non_streaming | test_text_chat_completion_non_streaming | ✅ |
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| Vision | /chat_completion | non_streaming | test_image_chat_completion_non_streaming | Passed |
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| Text | /chat_completion | tool_calling | test_text_chat_completion_with_tool_calling_and_streaming | ✅ |
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| Text | /chat_completion | tool_calling | test_text_chat_completion_with_tool_calling_and_non_streaming | ✅ |
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| Text | /completion | streaming | test_text_completion_streaming | ✅ |
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| Text | /completion | non_streaming | test_text_completion_non_streaming | ✅ |
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| Text | /completion | structured_output | test_text_completion_structured_output | ✅ |
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## Memory:
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| API | Capability | Test | Status |
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|:-----|:-----|:-----|:-----|
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| /insert, /query | inline | test_memory_bank_insert_inline_and_query | ❌ |
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| /insert, /query | url | test_memory_bank_insert_from_url_and_query | ❌ |
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## Agents:
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| API | Capability | Test | Status |
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|:-----|:-----|:-----|:-----|
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| create_agent_turn | rag | test_rag_agent | ❌ |
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| create_agent_turn | custom_tool | test_custom_tool | ✅ |
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| create_agent_turn | code_execution | test_code_execution | ❌ |
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@ -80,7 +80,7 @@ class TestClientTool(ClientTool):
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@pytest.fixture(scope="session")
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def model_id(llama_stack_client):
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def text_model_id(llama_stack_client):
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available_models = [
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model.identifier
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for model in llama_stack_client.models.list()
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@ -92,14 +92,14 @@ def model_id(llama_stack_client):
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@pytest.fixture(scope="session")
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def agent_config(llama_stack_client, model_id):
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def agent_config(llama_stack_client, text_model_id):
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available_shields = [
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shield.identifier for shield in llama_stack_client.shields.list()
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]
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available_shields = available_shields[:1]
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print(f"Using shield: {available_shields}")
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agent_config = AgentConfig(
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model=model_id,
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model=text_model_id,
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instructions="You are a helpful assistant",
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sampling_params={
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"strategy": {
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@ -10,11 +10,27 @@ import pytest
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from llama_stack import LlamaStackAsLibraryClient
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from llama_stack.providers.tests.env import get_env_or_fail
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from llama_stack_client import LlamaStackClient
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from report import Report
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def pytest_configure(config):
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config.option.tbstyle = "short"
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config.option.disable_warnings = True
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if config.getoption("--report"):
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config.pluginmanager.register(Report())
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def pytest_addoption(parser):
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parser.addoption(
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"--report",
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default=False,
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action="store_true",
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help="Knob to determine if we should generate report, e.g. --output=True",
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)
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TEXT_MODEL = "meta-llama/Llama-3.1-8B-Instruct"
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INFERENCE_MODEL = "meta-llama/Llama-3.2-11B-Vision-Instruct"
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@pytest.fixture(scope="session")
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@ -82,7 +82,7 @@ def base64_image_url():
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return base64_url
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def test_completion_non_streaming(llama_stack_client, text_model_id):
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def test_text_completion_non_streaming(llama_stack_client, text_model_id):
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response = llama_stack_client.inference.completion(
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content="Complete the sentence using one word: Roses are red, violets are ",
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stream=False,
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@ -94,7 +94,7 @@ def test_completion_non_streaming(llama_stack_client, text_model_id):
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assert "blue" in response.content.lower().strip()
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def test_completion_streaming(llama_stack_client, text_model_id):
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def test_text_completion_streaming(llama_stack_client, text_model_id):
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response = llama_stack_client.inference.completion(
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content="Complete the sentence using one word: Roses are red, violets are ",
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stream=True,
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@ -147,7 +147,7 @@ def test_completion_log_probs_streaming(llama_stack_client, text_model_id):
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assert not chunk.logprobs, "Logprobs should be empty"
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def test_completion_structured_output(
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def test_text_completion_structured_output(
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llama_stack_client, text_model_id, inference_provider_type
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):
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user_input = """
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50
tests/client-sdk/metadata.py
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tests/client-sdk/metadata.py
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# Copyright (c) Meta Platforms, Inc. and affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the terms described in the LICENSE file in
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# the root directory of this source tree.
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INFERENCE_API_CAPA_TEST_MAP = {
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"chat_completion": {
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"streaming": [
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"test_text_chat_completion_streaming",
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"test_image_chat_completion_streaming",
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],
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"non_streaming": [
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"test_image_chat_completion_non_streaming",
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"test_text_chat_completion_non_streaming",
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],
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"tool_calling": [
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"test_text_chat_completion_with_tool_calling_and_streaming",
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"test_text_chat_completion_with_tool_calling_and_non_streaming",
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],
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},
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"completion": {
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"streaming": ["test_text_completion_streaming"],
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"non_streaming": ["test_text_completion_non_streaming"],
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"structured_output": ["test_text_completion_structured_output"],
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},
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}
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MEMORY_API_TEST_MAP = {
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"/insert, /query": {
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"inline": ["test_memory_bank_insert_inline_and_query"],
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"url": ["test_memory_bank_insert_from_url_and_query"],
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}
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}
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AGENTS_API_TEST_MAP = {
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"create_agent_turn": {
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"rag": ["test_rag_agent"],
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"custom_tool": ["test_custom_tool"],
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"code_execution": ["test_code_execution"],
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}
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}
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API_MAPS = {
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"inference": INFERENCE_API_CAPA_TEST_MAP,
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"memory": MEMORY_API_TEST_MAP,
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"agents": AGENTS_API_TEST_MAP,
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}
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207
tests/client-sdk/report.py
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207
tests/client-sdk/report.py
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# Copyright (c) Meta Platforms, Inc. and affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the terms described in the LICENSE file in
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# the root directory of this source tree.
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import os
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from collections import defaultdict
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from pathlib import Path
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import pytest
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from llama_models.datatypes import CoreModelId
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from llama_models.sku_list import all_registered_models
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from llama_stack.distribution.library_client import LlamaStackAsLibraryClient
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from metadata import API_MAPS
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from pytest import CollectReport
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SUPPORTED_MODELS = {
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"ollama": set(
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[
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CoreModelId.llama3_1_8b_instruct.value,
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CoreModelId.llama3_1_8b_instruct.value,
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CoreModelId.llama3_1_70b_instruct.value,
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CoreModelId.llama3_1_70b_instruct.value,
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CoreModelId.llama3_1_405b_instruct.value,
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CoreModelId.llama3_1_405b_instruct.value,
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CoreModelId.llama3_2_1b_instruct.value,
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CoreModelId.llama3_2_1b_instruct.value,
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CoreModelId.llama3_2_3b_instruct.value,
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CoreModelId.llama3_2_3b_instruct.value,
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CoreModelId.llama3_2_11b_vision_instruct.value,
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CoreModelId.llama3_2_11b_vision_instruct.value,
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CoreModelId.llama3_2_90b_vision_instruct.value,
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CoreModelId.llama3_2_90b_vision_instruct.value,
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CoreModelId.llama3_3_70b_instruct.value,
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CoreModelId.llama_guard_3_8b.value,
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CoreModelId.llama_guard_3_1b.value,
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]
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),
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"fireworks": set(
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[
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CoreModelId.llama3_1_8b_instruct.value,
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CoreModelId.llama3_1_70b_instruct.value,
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CoreModelId.llama3_1_405b_instruct.value,
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CoreModelId.llama3_2_1b_instruct.value,
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CoreModelId.llama3_2_3b_instruct.value,
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CoreModelId.llama3_2_11b_vision_instruct.value,
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CoreModelId.llama3_2_90b_vision_instruct.value,
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CoreModelId.llama3_3_70b_instruct.value,
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CoreModelId.llama_guard_3_8b.value,
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CoreModelId.llama_guard_3_11b_vision.value,
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]
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),
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"together": set(
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[
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CoreModelId.llama3_1_8b_instruct.value,
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CoreModelId.llama3_1_70b_instruct.value,
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CoreModelId.llama3_1_405b_instruct.value,
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CoreModelId.llama3_2_3b_instruct.value,
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CoreModelId.llama3_2_11b_vision_instruct.value,
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CoreModelId.llama3_2_90b_vision_instruct.value,
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CoreModelId.llama3_3_70b_instruct.value,
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CoreModelId.llama_guard_3_8b.value,
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CoreModelId.llama_guard_3_11b_vision.value,
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]
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),
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}
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class Report:
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def __init__(self):
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config_file = os.environ.get("LLAMA_STACK_CONFIG")
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if not config_file:
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raise ValueError(
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"Currently we only support generating report for LlamaStackClientLibrary distributions"
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)
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config_path = Path(config_file)
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self.output_path = Path(config_path.parent / "report.md")
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self.client = LlamaStackAsLibraryClient(
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config_file,
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provider_data=None,
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skip_logger_removal=True,
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)
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self.image_name = self.client.async_client.config.image_name
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self.report_data = defaultdict(dict)
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# test function -> test nodeid
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self.test_data = dict()
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self.test_name_to_nodeid = defaultdict(list)
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@pytest.hookimpl(tryfirst=True)
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def pytest_runtest_logreport(self, report):
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# This hook is called in several phases, including setup, call and teardown
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# The test is considered failed / error if any of the outcomes is not "Passed"
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outcome = self._process_outcome(report)
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if report.nodeid not in self.test_data:
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self.test_data[report.nodeid] = outcome
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elif self.test_data[report.nodeid] != outcome and outcome != "Passed":
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self.test_data[report.nodeid] = outcome
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def pytest_sessionfinish(self, session):
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report = []
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report.append(f"# Report for {self.image_name} distribution")
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report.append("\n## Supported Models: ")
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header = f"| Model Descriptor | {self.image_name} |"
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dividor = "|:---|:---|"
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report.append(header)
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report.append(dividor)
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rows = []
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for model in all_registered_models():
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if (
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"Instruct" not in model.core_model_id.value
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and "Guard" not in model.core_model_id.value
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) or (model.variant):
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continue
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row = f"| {model.core_model_id.value} |"
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if model.core_model_id.value in SUPPORTED_MODELS[self.image_name]:
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row += " ✅ |"
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else:
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row += " ❌ |"
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rows.append(row)
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report.extend(rows)
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report.append("\n## Inference: ")
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test_table = [
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"| Model | API | Capability | Test | Status |",
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"|:----- |:-----|:-----|:-----|:-----|",
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]
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for api, capa_map in API_MAPS["inference"].items():
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for capa, tests in capa_map.items():
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vision_tests = filter(lambda test_name: "image" in test_name, tests)
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text_tests = filter(lambda test_name: "text" in test_name, tests)
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for test_name in text_tests:
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test_nodeids = self.test_name_to_nodeid[test_name]
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assert len(test_nodeids) > 0
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# There might be more than one parametrizations for the same test function. We take
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# the result of the first one for now. Ideally we should mark the test as failed if
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# any of the parametrizations failed.
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test_table.append(
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f"| Text | /{api} | {capa} | {test_name} | {self._print_result_icon(self.test_data[test_nodeids[0]])} |"
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)
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for test_name in vision_tests:
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test_nodeids = self.test_name_to_nodeid[test_name]
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assert len(test_nodeids) > 0
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test_table.append(
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f"| Vision | /{api} | {capa} | {test_name} | {self.test_data[test_nodeids[0]]} |"
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)
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report.extend(test_table)
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for api_group in ["memory", "agents"]:
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api_capitalized = api_group.capitalize()
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report.append(f"\n## {api_capitalized}: ")
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test_table = [
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"| API | Capability | Test | Status |",
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"|:-----|:-----|:-----|:-----|",
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]
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for api, capa_map in API_MAPS[api_group].items():
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for capa, tests in capa_map.items():
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for test_name in tests:
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test_nodeids = self.test_name_to_nodeid[test_name]
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assert len(test_nodeids) > 0
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test_table.append(
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f"| {api} | {capa} | {test_name} | {self._print_result_icon(self.test_data[test_nodeids[0]])} |"
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)
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report.extend(test_table)
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output_file = self.output_path
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output_file.write_text("\n".join(report))
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print(f"\nReport generated: {output_file.absolute()}")
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def pytest_runtest_makereport(self, item, call):
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func_name = getattr(item, "originalname", item.name)
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self.test_name_to_nodeid[func_name].append(item.nodeid)
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def _print_result_icon(self, result):
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if result == "Passed":
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return "✅"
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elif result == "Failed" or result == "Error":
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return "❌"
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else:
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# result == "Skipped":
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return "⏭️"
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def _process_outcome(self, report: CollectReport):
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if self._is_error(report):
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return "Error"
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if hasattr(report, "wasxfail"):
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if report.outcome in ["passed", "failed"]:
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return "XPassed"
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if report.outcome == "skipped":
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return "XFailed"
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return report.outcome.capitalize()
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def _is_error(self, report: CollectReport):
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return (
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report.when in ["setup", "teardown", "collect"]
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and report.outcome == "failed"
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)
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