599 commits

Author	SHA1	Message	Date
Varsha	78750b6c79	Merge 401d455809 into 0a41c4ead0	2025-10-03 09:01:46 +02:00
Matthew Farrellee	0a41c4ead0	chore: OpenAIMixin implements ModelsProtocolPrivate (#3662) ... # What does this PR do? add ModelsProtocolPrivate methods to OpenAIMixin this will allow providers using OpenAIMixin to use a common interface ## Test Plan ci w/ new tests	2025-10-02 21:32:02 -07:00
ehhuang	14a94e9894	fix: responses <> chat completion input conversion (#3645) ... # What does this PR do? closes #3268 closes #3498 When resuming from previous response ID, currently we attempt to convert from the stored responses input to chat completion messages, which is not always possible, e.g. for tool calls where some data is lost once converted from chat completion message to repsonses input format. This PR stores the chat completion messages that correspond to the _last_ call to chat completion, which is sufficient to be resumed from in the next responses API call, where we load these saved messages and skip conversion entirely. Separate issue to optimize storage: https://github.com/llamastack/llama-stack/issues/3646 ## Test Plan existing CI tests	2025-10-02 16:01:08 -07:00
Ashwin Bharambe	ef0736527d	feat(tools)!: substantial clean up of "Tool" related datatypes (#3627) ... This is a sweeping change to clean up some gunk around our "Tool" definitions. First, we had two types `Tool` and `ToolDef`. The first of these was a "Resource" type for the registry but we had stopped registering tools inside the Registry long back (and only registered ToolGroups.) The latter was for specifying tools for the Agents API. This PR removes the former and adds an optional `toolgroup_id` field to the latter. Secondly, as pointed out by @bbrowning in https://github.com/llamastack/llama-stack/pull/3003#issuecomment-3245270132, we were doing a lossy conversion from a full JSON schema from the MCP tool specification into our ToolDefinition to send it to the model. There is no necessity to do this -- we ourselves aren't doing any execution at all but merely passing it to the chat completions API which supports this. By doing this (and by doing it poorly), we encountered limitations like not supporting array items, or not resolving $refs, etc. To fix this, we replaced the `parameters` field by `{ input_schema, output_schema }` which can be full blown JSON schemas. Finally, there were some types in our llama-related chat format conversion which needed some cleanup. We are taking this opportunity to clean those up. This PR is a substantial breaking change to the API. However, given our window for introducing breaking changes, this suits us just fine. I will be landing a concurrent `llama-stack-client` change as well since API shapes are changing.	2025-10-02 15:12:03 -07:00
Matthew Farrellee	0e13512dd7	chore: fix agents tests for non-ollama providers, provide max_tokens (#3657) ... # What does this PR do? closes #3656 ## Test Plan openai is not enabled in ci, so manual testing with: ``` $ ./scripts/integration-tests.sh --stack-config ci-tests --suite base --setup gpt --subdirs agents --inference-mode live === Llama Stack Integration Test Runner === Stack Config: ci-tests Setup: gpt Inference Mode: live Test Suite: base Test Subdirs: agents Test Pattern: Checking llama packages llama-stack 0.2.23 .../llama-stack llama-stack-client 0.3.0a3 ollama 0.5.1 === System Resources Before Tests === ... === Applying Setup Environment Variables === Setting up environment variables: === Running Integration Tests === Test subdirs to run: agents Added test files from agents: 3 files === Running all collected tests in a single pytest command === Total test files: 3 + pytest -s -v tests/integration/agents/test_persistence.py tests/integration/agents/test_openai_responses.py tests/integration/agents/test_agents.py --stack-config=ci-tests --inference-mode=live -k 'not( builtin_tool or safety_with_image or code_interpreter or test_rag )' --setup=gpt --color=yes --capture=tee-sys WARNING 2025-10-02 13:14:32,653 root:258 uncategorized: Unknown logging category: providers::utils. Falling back to default 'root' level: 20 WARNING 2025-10-02 13:14:33,043 root:258 uncategorized: Unknown logging category: tests. Falling back to default 'root' level: 20 INFO 2025-10-02 13:14:33,063 tests.integration.conftest:86 tests: Applying setup 'gpt' ========================================= test session starts ========================================== platform linux -- Python 3.12.11, pytest-8.4.2, pluggy-1.6.0 -- .../.venv/bin/python cachedir: .pytest_cache metadata: {'Python': '3.12.11', 'Platform': 'Linux-6.16.7-200.fc42.x86_64-x86_64-with-glibc2.41', 'Packages': {'pytest': '8.4.2', 'pluggy': '1.6.0'}, 'Plugins': {'html': '4.1.1', 'anyio': '4.9.0', 'timeout': '2.4.0', 'cov': '6.2.1', 'asyncio': '1.1.0', 'nbval': '0.11.0', 'socket': '0.7.0', 'json-report': '1.5.0', 'metadata': '3.1.1'}} rootdir: ... configfile: pyproject.toml plugins: html-4.1.1, anyio-4.9.0, timeout-2.4.0, cov-6.2.1, asyncio-1.1.0, nbval-0.11.0, socket-0.7.0, json-report-1.5.0, metadata-3.1.1 asyncio: mode=Mode.AUTO, asyncio_default_fixture_loop_scope=None, asyncio_default_test_loop_scope=function collected 32 items / 6 deselected / 26 selected tests/integration/agents/test_persistence.py::test_delete_agents_and_sessions SKIPPED (This ...) [ 3%] tests/integration/agents/test_persistence.py::test_get_agent_turns_and_steps SKIPPED (This t...) [ 7%] tests/integration/agents/test_openai_responses.py::test_responses_store[openai_client-txt=openai/gpt-4o-tools0-True] instantiating llama_stack_client WARNING 2025-10-02 13:14:33,472 root:258 uncategorized: Unknown logging category: testing. Falling back to default 'root' level: 20 WARNING 2025-10-02 13:14:33,477 root:258 uncategorized: Unknown logging category: providers::utils. Falling back to default 'root' level: 20 WARNING 2025-10-02 13:14:33,960 root:258 uncategorized: Unknown logging category: tokenizer_utils. Falling back to default 'root' level: 20 WARNING 2025-10-02 13:14:33,962 root:258 uncategorized: Unknown logging category: models::llama. Falling back to default 'root' level: 20 WARNING 2025-10-02 13:14:33,963 root:258 uncategorized: Unknown logging category: models::llama. Falling back to default 'root' level: 20 WARNING 2025-10-02 13:14:33,968 root:258 uncategorized: Unknown logging category: providers::utils. Falling back to default 'root' level: 20 WARNING 2025-10-02 13:14:33,974 root:258 uncategorized: Unknown logging category: providers::utils. Falling back to default 'root' level: 20 WARNING 2025-10-02 13:14:33,978 root:258 uncategorized: Unknown logging category: providers::utils. Falling back to default 'root' level: 20 WARNING 2025-10-02 13:14:35,350 root:258 uncategorized: Unknown logging category: providers::utils. Falling back to default 'root' level: 20 WARNING 2025-10-02 13:14:35,366 root:258 uncategorized: Unknown logging category: providers::utils. Falling back to default 'root' level: 20 WARNING 2025-10-02 13:14:35,489 root:258 uncategorized: Unknown logging category: providers::utils. Falling back to default 'root' level: 20 WARNING 2025-10-02 13:14:35,490 root:258 uncategorized: Unknown logging category: inference_store. Falling back to default 'root' level: 20 WARNING 2025-10-02 13:14:35,697 root:258 uncategorized: Unknown logging category: providers::utils. Falling back to default 'root' level: 20 WARNING 2025-10-02 13:14:35,918 root:258 uncategorized: Unknown logging category: providers::utils. Falling back to default 'root' level: 20 INFO 2025-10-02 13:14:35,945 llama_stack.providers.utils.inference.inference_store:74 inference_store: Write queue disabled for SQLite to avoid concurrency issues WARNING 2025-10-02 13:14:36,172 root:258 uncategorized: Unknown logging category: files. Falling back to default 'root' level: 20 WARNING 2025-10-02 13:14:36,218 root:258 uncategorized: Unknown logging category: providers::utils. Falling back to default 'root' level: 20 WARNING 2025-10-02 13:14:36,219 root:258 uncategorized: Unknown logging category: vector_io. Falling back to default 'root' level: 20 WARNING 2025-10-02 13:14:36,231 root:258 uncategorized: Unknown logging category: vector_io. Falling back to default 'root' level: 20 WARNING 2025-10-02 13:14:36,255 root:258 uncategorized: Unknown logging category: tool_runtime. Falling back to default 'root' level: 20 WARNING 2025-10-02 13:14:36,486 root:258 uncategorized: Unknown logging category: responses_store. Falling back to default 'root' level: 20 WARNING 2025-10-02 13:14:36,503 root:258 uncategorized: Unknown logging category: openai::responses. Falling back to default 'root' level: 20 INFO 2025-10-02 13:14:36,524 llama_stack.providers.utils.responses.responses_store:80 responses_store: Write queue disabled for SQLite to avoid concurrency issues WARNING 2025-10-02 13:14:36,528 root:258 uncategorized: Unknown logging category: providers::utils. Falling back to default 'root' level: 20 WARNING 2025-10-02 13:14:36,703 root:258 uncategorized: Unknown logging category: uncategorized. Falling back to default 'root' level: 20 WARNING 2025-10-02 13:14:36,726 llama_stack.core.routing_tables.models:36 core::routing_tables: Model refresh failed for provider fireworks: Pass Fireworks API Key in the header X-LlamaStack-Provider-Data as { "fireworks_api_key": <your api key>} WARNING 2025-10-02 13:14:36,727 llama_stack.core.routing_tables.models:36 core::routing_tables: Model refresh failed for provider together: Pass Together API Key in the header X-LlamaStack-Provider-Data as { "together_api_key": <your api key>} WARNING 2025-10-02 13:14:38,404 llama_stack.core.routing_tables.models:36 core::routing_tables: Model refresh failed for provider anthropic: API key is not set. Please provide a valid API key in the provider data header, e.g. x-llamastack-provider-data: {"anthropic_api_key": "<API_KEY>"}, or in the provider config. WARNING 2025-10-02 13:14:38,406 llama_stack.core.routing_tables.models:36 core::routing_tables: Model refresh failed for provider gemini: API key is not set. Please provide a valid API key in the provider data header, e.g. x-llamastack-provider-data: {"gemini_api_key": "<API_KEY>"}, or in the provider config. WARNING 2025-10-02 13:14:38,408 llama_stack.core.routing_tables.models:36 core::routing_tables: Model refresh failed for provider groq: API key is not set. Please provide a valid API key in the provider data header, e.g. x-llamastack-provider-data: {"groq_api_key": "<API_KEY>"}, or in the provider config. WARNING 2025-10-02 13:14:38,411 llama_stack.core.routing_tables.models:36 core::routing_tables: Model refresh failed for provider sambanova: API key is not set. Please provide a valid API key in the provider data header, e.g. x-llamastack-provider-data: {"sambanova_api_key": "<API_KEY>"}, or in the provider config. llama_stack_client instantiated in 5.237s SKIPPED [ 11%] tests/integration/agents/test_openai_responses.py::test_list_response_input_items[openai_client-txt=openai/gpt-4o] SKIPPED [ 15%] tests/integration/agents/test_openai_responses.py::test_list_response_input_items_with_limit_and_order[txt=openai/gpt-4o] SKIPPED [ 19%] tests/integration/agents/test_openai_responses.py::test_function_call_output_response[txt=openai/gpt-4o] SKIPPED [ 23%] tests/integration/agents/test_openai_responses.py::test_function_call_output_response_with_none_arguments[txt=openai/gpt-4o] SKIPPED [ 26%] tests/integration/agents/test_agents.py::test_agent_simple[openai/gpt-4o] PASSED [ 30%] tests/integration/agents/test_agents.py::test_agent_name[txt=openai/gpt-4o] SKIPPED (this te...) [ 34%] tests/integration/agents/test_agents.py::test_tool_config[openai/gpt-4o] PASSED [ 38%] tests/integration/agents/test_agents.py::test_custom_tool[openai/gpt-4o] FAILED [ 42%] tests/integration/agents/test_agents.py::test_custom_tool_infinite_loop[openai/gpt-4o] PASSED [ 46%] tests/integration/agents/test_agents.py::test_tool_choice_required[openai/gpt-4o] INFO 2025-10-02 13:14:51,559 llama_stack.providers.inline.agents.meta_reference.agent_instance:691 agents::meta_reference: done with MAX iterations (2), exiting. PASSED [ 50%] tests/integration/agents/test_agents.py::test_tool_choice_none[openai/gpt-4o] PASSED [ 53%] tests/integration/agents/test_agents.py::test_tool_choice_get_boiling_point[openai/gpt-4o] XFAIL [ 57%] tests/integration/agents/test_agents.py::test_create_turn_response[openai/gpt-4o-client_tools0] PASSED [ 61%] tests/integration/agents/test_agents.py::test_multi_tool_calls[openai/gpt-4o] PASSED [ 65%] tests/integration/agents/test_openai_responses.py::test_responses_store[openai_client-txt=openai/gpt-4o-tools0-False] SKIPPED [ 69%] tests/integration/agents/test_openai_responses.py::test_list_response_input_items[client_with_models-txt=openai/gpt-4o] PASSED [ 73%] tests/integration/agents/test_agents.py::test_create_turn_response[openai/gpt-4o-client_tools1] PASSED [ 76%] tests/integration/agents/test_openai_responses.py::test_responses_store[openai_client-txt=openai/gpt-4o-tools1-True] SKIPPED [ 80%] tests/integration/agents/test_openai_responses.py::test_responses_store[openai_client-txt=openai/gpt-4o-tools1-False] SKIPPED [ 84%] tests/integration/agents/test_openai_responses.py::test_responses_store[client_with_models-txt=openai/gpt-4o-tools0-True] SKIPPED [ 88%] tests/integration/agents/test_openai_responses.py::test_responses_store[client_with_models-txt=openai/gpt-4o-tools0-False] SKIPPED [ 92%] tests/integration/agents/test_openai_responses.py::test_responses_store[client_with_models-txt=openai/gpt-4o-tools1-True] SKIPPED [ 96%] tests/integration/agents/test_openai_responses.py::test_responses_store[client_with_models-txt=openai/gpt-4o-tools1-False] SKIPPED [100%] =============================================== FAILURES =============================================== ___________________________________ test_custom_tool[openai/gpt-4o] ____________________________________ tests/integration/agents/test_agents.py:370: in test_custom_tool assert "-100" in logs_str E assert '-100' in "inference> Polyjuice Potion is a fictional substance from the Harry Potter series, and it doesn't have a scientifically defined boiling point. If you have any other real liquid in mind, feel free to ask!" ========================================= slowest 10 durations ========================================= 5.47s setup tests/integration/agents/test_openai_responses.py::test_responses_store[openai_client-txt=openai/gpt-4o-tools0-True] 4.78s call tests/integration/agents/test_agents.py::test_custom_tool[openai/gpt-4o] 3.01s call tests/integration/agents/test_agents.py::test_tool_choice_required[openai/gpt-4o] 2.97s call tests/integration/agents/test_agents.py::test_agent_simple[openai/gpt-4o] 2.85s call tests/integration/agents/test_agents.py::test_tool_choice_none[openai/gpt-4o] 2.06s call tests/integration/agents/test_agents.py::test_multi_tool_calls[openai/gpt-4o] 1.83s call tests/integration/agents/test_agents.py::test_create_turn_response[openai/gpt-4o-client_tools0] 1.83s call tests/integration/agents/test_agents.py::test_custom_tool_infinite_loop[openai/gpt-4o] 1.29s call tests/integration/agents/test_agents.py::test_create_turn_response[openai/gpt-4o-client_tools1] 0.57s call tests/integration/agents/test_openai_responses.py::test_list_response_input_items[client_with_models-txt=openai/gpt-4o] ======================================= short test summary info ======================================== FAILED tests/integration/agents/test_agents.py::test_custom_tool[openai/gpt-4o] - assert '-100' in "inference> Polyjuice Potion is a fictional substance from the Harry Potter series... =========== 1 failed, 9 passed, 15 skipped, 6 deselected, 1 xfailed, 139 warnings in 27.18s ============ ``` note: the failure is separate from the issue being fixed	2025-10-02 14:30:13 -04:00
Aakanksha Duggal	7e48cc48bc	refactor(agents): migrate to OpenAI chat completions API (#3323)	2025-10-02 06:50:32 -04:00
Matthew Farrellee	4dbe0593f9	chore: add provider-data-api-key support to openaimixin (#3639) ... # What does this PR do? the LiteLLMOpenAIMixin provides support for reading key from provider data (headers users send). this adds the same functionality to the OpenAIMixin. this is infrastructure for migrating providers. ## Test Plan ci w/ new tests	2025-10-01 13:44:59 -07:00
Matthew Farrellee	f7c5ef4ec0	chore: remove /v1/inference/completion and implementations (#3622) ... # What does this PR do? the /inference/completion route is gone. this removes the implementations. ## Test Plan ci	2025-10-01 11:36:53 -04:00
Jaideep Rao	ca47d90926	fix: Ensure that tool calls with no arguments get handled correctly (#3560) ... # What does this PR do? When a model decides to use an MCP tool call that requires no arguments, it sets the `arguments` field to `None`. This causes the user to see a `400 bad requst error` due to validation errors down the stack because this field gets removed when being parsed by an openai compatible inference provider like vLLM This PR ensures that, as soon as the tool call args are accumulated while streaming, we check to ensure no tool call function arguments are set to None - if they are we replace them with "{}" <!-- If resolving an issue, uncomment and update the line below --> Closes #3456 ## Test Plan Added new unit test to verify that any tool calls with function arguments set to `None` get handled correctly --------- Signed-off-by: Jaideep Rao <jrao@redhat.com> Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com> Co-authored-by: Ashwin Bharambe <ashwin.bharambe@gmail.com>	2025-10-01 08:36:57 -04:00
ehhuang	ac7c35fbe6	fix: don't pass default response format in Responses (#3614) ... # What does this PR do? Fireworks doesn't allow repsonse_format with tool use. The default response format is 'text' anyway, so we can safely omit. ## Test Plan Below script failed without the change, runs after. ``` #!/usr/bin/env python3 """ Script to test Responses API with kubernetes-mcp-server. This script: 1. Connects to the llama stack server 2. Uses the Responses API with MCP tools 3. Asks for the list of Kubernetes namespaces using the kubernetes-mcp-server """ import json from openai import OpenAI # Connect to the llama stack server base_url = "http://localhost:8321/v1" client = OpenAI(base_url=base_url, api_key="fake") # Define the MCP tool pointing to the kubernetes-mcp-server # The kubernetes-mcp-server is running on port 3000 with SSE endpoint at /sse mcp_server_url = "http://localhost:3000/sse" tools = [ { "type": "mcp", "server_label": "k8s", "server_url": mcp_server_url, } ] # Create a response request asking for k8s namespaces print("Sending request to list Kubernetes namespaces...") print(f"Using MCP server at: {mcp_server_url}") print("Available tools will be listed automatically by the MCP server.") print() response = client.responses.create( # model="meta-llama/Llama-3.2-3B-Instruct", # Using the vllm model model="fireworks/accounts/fireworks/models/llama4-scout-instruct-basic", # model="openai/gpt-4o", input="what are all the Kubernetes namespaces? Use tool call to `namespaces_list`. make sure to adhere to the tool calling format UNDER ALL CIRCUMSTANCES.", tools=tools, stream=False, ) print("\n" + "=" * 80) print("RESPONSE OUTPUT:") print("=" * 80) # Print the output for i, output in enumerate(response.output): print(f"\n[Output {i + 1}] Type: {output.type}") if output.type == "mcp_list_tools": print(f" Server: {output.server_label}") print(f" Tools available: {[t.name for t in output.tools]}") elif output.type == "mcp_call": print(f" Tool called: {output.name}") print(f" Arguments: {output.arguments}") print(f" Result: {output.output}") if output.error: print(f" Error: {output.error}") elif output.type == "message": print(f" Role: {output.role}") print(f" Content: {output.content}") print("\n" + "=" * 80) print("FINAL RESPONSE TEXT:") print("=" * 80) print(response.output_text) ```	2025-09-30 14:52:24 -07:00
grs	d350e3662b	feat: add support for require_approval argument when creating response (#3608) ... # What does this PR do? This PR adds support for the require_approval on an mcp tool definition passed to create response in the Responses API. This allows the caller to indicate whether they want to approve calls to that server, or let them be called without approval. Closes #3443 ## Test Plan Tested both approval and denial. Added automated integration test for both cases. --------- Signed-off-by: Gordon Sim <gsim@redhat.com> Co-authored-by: Matthew Farrellee <matt@cs.wisc.edu>	2025-09-30 14:18:34 -07:00
Ashwin Bharambe	606f4cf281	fix(expires_after): make sure multipart/form-data is properly parsed (#3612) ... https://github.com/llamastack/llama-stack/pull/3604 broke multipart form data field parsing for the Files API since it changed its shape -- so as to match the API exactly to the OpenAI spec even in the generated client code. The underlying reason is that multipart/form-data cannot transport structured nested fields. Each field must be str-serialized. The client (specifically the OpenAI client whose behavior we must match), transports sub-fields as `expires_after[anchor]` and `expires_after[seconds]`, etc. We must be able to handle these fields somehow on the server without compromising the shape of the YAML spec. This PR "fixes" this by adding a dependency to convert the data. The main trade-off here is that we must add this `Depends()` annotation on every provider implementation for Files. This is a headache, but a much more reasonable one (in my opinion) given the alternatives. ## Test Plan Tests as shown in https://github.com/llamastack/llama-stack/pull/3604#issuecomment-3351090653 pass.	2025-09-30 16:14:03 -04:00
Ashwin Bharambe	73de235ef1	fix(eval): use client.alpha for eval tests	2025-09-30 13:02:33 -07:00
Matthew Farrellee	2de4e6c900	feat: use /v1/chat/completions for safety model inference (#3591) ... # What does this PR do? migrate safety api implementation from /inference/chat-completion to /v1/chat/completions ## Test Plan ci w/ recordings --------- Co-authored-by: Ashwin Bharambe <ashwin.bharambe@gmail.com>	2025-09-30 11:01:44 -07:00
Matthew Farrellee	cb33f45c11	chore: unpublish /inference/chat-completion (#3609) ... # What does this PR do? BREAKING CHANGE: removes /inference/chat-completion route and updates relevant documentation ## Test Plan 🤷	2025-09-30 11:00:42 -07:00
ehhuang	6cce553c93	fix: mcp tool with array type should include items (#3602) ... # What does this PR do? Fixes error: ``` [ERROR] Error executing endpoint route='/v1/openai/v1/responses' method='post': Error code: 400 - {'error': {'message': "Invalid schema for function 'pods_exec': In context=('properties', 'command'), array schema missing items.", 'type': 'invalid_request_error', 'param': 'tools[7].function.parameters', 'code': 'invalid_function_parameters'}} ``` From script: ``` #!/usr/bin/env python3 """ Script to test Responses API with kubernetes-mcp-server. This script: 1. Connects to the llama stack server 2. Uses the Responses API with MCP tools 3. Asks for the list of Kubernetes namespaces using the kubernetes-mcp-server """ import json from openai import OpenAI # Connect to the llama stack server base_url = "http://localhost:8321/v1/openai/v1" client = OpenAI(base_url=base_url, api_key="fake") # Define the MCP tool pointing to the kubernetes-mcp-server # The kubernetes-mcp-server is running on port 3000 with SSE endpoint at /sse mcp_server_url = "http://localhost:3000/sse" tools = [ { "type": "mcp", "server_label": "k8s", "server_url": mcp_server_url, } ] # Create a response request asking for k8s namespaces print("Sending request to list Kubernetes namespaces...") print(f"Using MCP server at: {mcp_server_url}") print("Available tools will be listed automatically by the MCP server.") print() response = client.responses.create( # model="meta-llama/Llama-3.2-3B-Instruct", # Using the vllm model model="openai/gpt-4o", input="what are all the Kubernetes namespaces? Use tool call to `namespaces_list`. make sure to adhere to the tool calling format.", tools=tools, stream=False, ) print("\n" + "=" * 80) print("RESPONSE OUTPUT:") print("=" * 80) # Print the output for i, output in enumerate(response.output): print(f"\n[Output {i + 1}] Type: {output.type}") if output.type == "mcp_list_tools": print(f" Server: {output.server_label}") print(f" Tools available: {[t.name for t in output.tools]}") elif output.type == "mcp_call": print(f" Tool called: {output.name}") print(f" Arguments: {output.arguments}") print(f" Result: {output.output}") if output.error: print(f" Error: {output.error}") elif output.type == "message": print(f" Role: {output.role}") print(f" Content: {output.content}") print("\n" + "=" * 80) print("FINAL RESPONSE TEXT:") print("=" * 80) print(response.output_text) ``` ## Test Plan new unit tests script now runs successfully	2025-09-29 23:11:41 -07:00
Ashwin Bharambe	3a09f00cdb	feat(files): fix expires_after API shape (#3604) ... This was just quite incorrect. See source here: https://platform.openai.com/docs/api-reference/files/create	2025-09-29 21:29:15 -07:00
Ashwin Bharambe	5e7fed8bbb	feat(openai_movement): Change URL structures to kill /openai/v1 (part 1) (#3587) ... The `/v1/openai/v1` prefix is annoying and now unnecessary given our clearer focus on how to think about the API surface. Let's kill it for the 0.3.0 update. To make client-side changes feasible, we will do this in two parts. This part adds a new route (sans `/openai/v1`) so the existing client continues to work since the server supports both. The next PR will be client-side (Stainless) changes which I will be making shortly. The final PR will remove the `/openai/v1` routes. Note that all these changes will happen rapidly within this release cycle. The entire set _will be backwards incompatible_.	2025-09-29 16:14:35 -07:00
Matthew Farrellee	e9eb004bf8	fix: remove inference.completion from docs (#3589) ... # What does this PR do? now that /v1/inference/completion has been removed, no docs should refer to it this cleans up remaining references ## Test Plan ci Co-authored-by: Ashwin Bharambe <ashwin.bharambe@gmail.com>	2025-09-29 13:14:41 -07:00
Matthew Farrellee	7c888fc0da	feat: update eval runner to use openai endpoints (#3588) ... # What does this PR do? move the eval=inline::meta-reference implementation to use openai_completion/openai_chat_completion note: this breaks backward compatibility if eval setup used sampling params' repetition_penalty or strategy ## Test Plan ci w/ new recordings Co-authored-by: Ashwin Bharambe <ashwin.bharambe@gmail.com>	2025-09-29 13:13:53 -07:00
Matthew Farrellee	45f438c027	chore: skip safety tests when shield not available (#3592) ... # What does this PR do? we skip embedding tests when the embedding_model_id isn't provided. same for completion / chat tests when text_model_id isn't given. instead of failing safety tests when a shield_id isn't provided, we'll skip them too. ## Test Plan ci Co-authored-by: Ashwin Bharambe <ashwin.bharambe@gmail.com>	2025-09-29 13:11:37 -07:00
Matthew Farrellee	975ead1d6a	chore(api): remove deprecated embeddings impls (#3301) ... # What does this PR do? remove deprecated embeddings implementations	2025-09-29 14:45:09 -04:00
Kai Wu	aab22dc759	fix: adding mime type of application/json support (#3452) ... # What does this PR do? <!-- Provide a short summary of what this PR does and why. Link to relevant issues if applicable. --> This PR fix #3300 by adding mime type of application/json support in [agent_instance.py](4a59961a6c/llama_stack/providers/inline/agents/meta_reference/agent_instance.py (L923)) <!-- If resolving an issue, uncomment and update the line below --> <!-- Closes #[3300] --> ## Test Plan <!-- Describe the tests you ran to verify your changes with result summaries. *Provide clear instructions so the plan can be easily re-executed.* --> all related pytest passed, see log: ``` ./scripts/unit-tests.sh tests/unit/providers/agent/test_get_raw_document_text.py -vvv /Users/kaiwu/work/kaiwu/llama-stack/.venv/bin/python3 Uninstalled 22 packages in 5.65s Installed 47 packages in 1.24s ================= test session starts ================= platform darwin -- Python 3.12.9, pytest-8.4.2, pluggy-1.6.0 -- /Users/kaiwu/work/kaiwu/llama-stack/.venv/bin/python cachedir: .pytest_cache metadata: {'Python': '3.12.9', 'Platform': 'macOS-15.6.1-arm64-arm-64bit', 'Packages': {'pytest': '8.4.2', 'pluggy': '1.6.0'}, 'Plugins': {'anyio': '4.9.0', 'html': '4.1.1', 'socket': '0.7.0', 'asyncio': '1.1.0', 'json-report': '1.5.0', 'timeout': '2.4.0', 'metadata': '3.1.1', 'cov': '6.2.1', 'nbval': '0.11.0'}} rootdir: /Users/kaiwu/work/kaiwu/llama-stack configfile: pyproject.toml plugins: anyio-4.9.0, html-4.1.1, socket-0.7.0, asyncio-1.1.0, json-report-1.5.0, timeout-2.4.0, metadata-3.1.1, cov-6.2.1, nbval-0.11.0 asyncio: mode=Mode.AUTO, asyncio_default_fixture_loop_scope=None, asyncio_default_test_loop_scope=function collected 14 items tests/unit/providers/agent/test_get_raw_document_text.py::test_get_raw_document_text_supports_text_mime_types PASSED tests/unit/providers/agent/test_get_raw_document_text.py::test_get_raw_document_text_supports_yaml_mime_type PASSED tests/unit/providers/agent/test_get_raw_document_text.py::test_get_raw_document_text_supports_deprecated_text_yaml_with_warning PASSED tests/unit/providers/agent/test_get_raw_document_text.py::test_get_raw_document_text_deprecated_text_yaml_with_url PASSED tests/unit/providers/agent/test_get_raw_document_text.py::test_get_raw_document_text_deprecated_text_yaml_with_text_content_item PASSED tests/unit/providers/agent/test_get_raw_document_text.py::test_get_raw_document_text_supports_json_mime_type PASSED tests/unit/providers/agent/test_get_raw_document_text.py::test_get_raw_document_text_with_json_url PASSED tests/unit/providers/agent/test_get_raw_document_text.py::test_get_raw_document_text_with_json_text_content_item PASSED tests/unit/providers/agent/test_get_raw_document_text.py::test_get_raw_document_text_rejects_unsupported_mime_types PASSED tests/unit/providers/agent/test_get_raw_document_text.py::test_get_raw_document_text_with_url_content PASSED tests/unit/providers/agent/test_get_raw_document_text.py::test_get_raw_document_text_with_yaml_url PASSED tests/unit/providers/agent/test_get_raw_document_text.py::test_get_raw_document_text_with_text_content_item PASSED tests/unit/providers/agent/test_get_raw_document_text.py::test_get_raw_document_text_with_yaml_text_content_item PASSED tests/unit/providers/agent/test_get_raw_document_text.py::test_get_raw_document_text_rejects_unexpected_content_type PASSED ================ slowest 10 durations ================= 0.00s call tests/unit/providers/agent/test_get_raw_document_text.py::test_get_raw_document_text_deprecated_text_yaml_with_url 0.00s call tests/unit/providers/agent/test_get_raw_document_text.py::test_get_raw_document_text_rejects_unsupported_mime_types 0.00s call tests/unit/providers/agent/test_get_raw_document_text.py::test_get_raw_document_text_rejects_unexpected_content_type 0.00s setup tests/unit/providers/agent/test_get_raw_document_text.py::test_get_raw_document_text_supports_text_mime_types 0.00s teardown tests/unit/providers/agent/test_get_raw_document_text.py::test_get_raw_document_text_supports_text_mime_types 0.00s call tests/unit/providers/agent/test_get_raw_document_text.py::test_get_raw_document_text_with_yaml_url 0.00s call tests/unit/providers/agent/test_get_raw_document_text.py::test_get_raw_document_text_with_url_content 0.00s teardown tests/unit/providers/agent/test_get_raw_document_text.py::test_get_raw_document_text_rejects_unsupported_mime_types 0.00s call tests/unit/providers/agent/test_get_raw_document_text.py::test_get_raw_document_text_with_json_url 0.00s call tests/unit/providers/agent/test_get_raw_document_text.py::test_get_raw_document_text_supports_text_mime_types ================= 14 passed in 0.14s ================== Generating coverage report... Wrote HTML report to htmlcov-3.12/index.html ```	2025-09-29 11:27:31 -07:00
ehhuang	8ab6684a94	chore: introduce write queue for response_store (#3497) ... # What does this PR do? Mirroring the same changes that was used for inference_store: https://github.com/llamastack/llama-stack/pull/3383 Will follow up with a shared internal API for managing these write queues. ## Test Plan existing tests	2025-09-29 10:36:16 -07:00
Matthew Farrellee	7c466a7ec5	chore: skip nvidia datastore tests when nvidia datastore is not enabled (#3590) ... # What does this PR do? the nvidia datastore tests were running when the datastore was not configured. they would always fail. this introduces a skip when the nvidia datastore is not configured. ## Test Plan ci	2025-09-29 05:15:58 -04:00
Tami Takamiya	65f7b81e98	feat: Add items and title to ToolParameter/ToolParamDefinition (#3003) ... # What does this PR do? <!-- Provide a short summary of what this PR does and why. Link to relevant issues if applicable. --> Add items and title to ToolParameter/ToolParamDefinition. Adding items will resolve the issue that occurs with Gemini LLM when an MCP tool has array-type properties. <!-- If resolving an issue, uncomment and update the line below --> <!-- Closes #[issue-number] --> ## Test Plan <!-- Describe the tests you ran to verify your changes with result summaries. *Provide clear instructions so the plan can be easily re-executed.* --> Unite test cases will be added. --------- Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com> Co-authored-by: Kai Wu <kaiwu@meta.com> Co-authored-by: Ashwin Bharambe <ashwin.bharambe@gmail.com>	2025-09-27 11:35:29 -07:00
Matthew Farrellee	0d94f3e2c0	chore: recordings for fireworks (inference + openai) (#3573) ... # What does this PR do? recorded for: ./scripts/integration-tests.sh --stack-config server:ci-tests --suite base --setup fireworks --subdirs inference --pattern openai ## Test Plan ./scripts/integration-tests.sh --stack-config server:ci-tests --suite base --setup fireworks --subdirs inference --pattern openai	2025-09-27 11:22:30 -07:00
Matthew Farrellee	53b15725b6	chore(apis): unpublish deprecated /v1/inference apis (#3297) ... # What does this PR do? unpublish (make unavailable to users) the following apis - - `/v1/inference/completion`, replaced by `/v1/openai/v1/completions` - `/v1/inference/chat-completion`, replaced by `/v1/openai/v1/chat/completions` - `/v1/inference/embeddings`, replaced by `/v1/openai/v1/embeddings` - `/v1/inference/batch-completion`, replaced by `/v1/openai/v1/batches` - `/v1/inference/batch-chat-completion`, replaced by `/v1/openai/v1/batches` note: the implementations are still available for internal use, e.g. agents uses chat-completion.	2025-09-27 11:20:06 -07:00
Matthew Farrellee	60484c5c4e	chore(api): remove batch inference (#3261) ... # What does this PR do? APIs removed: - POST /v1/batch-inference/completion - POST /v1/batch-inference/chat-completion - POST /v1/inference/batch-completion - POST /v1/inference/batch-chat-completion note - - batch-completion & batch-chat-completion were only implemented for inference=inline::meta-reference - batch-inference were not implemented	2025-09-26 14:35:34 -07:00
Matthew Farrellee	b48d5cfed7	feat(internal): add image_url download feature to OpenAIMixin (#3516) ... # What does this PR do? simplify Ollama inference adapter by - - moving image_url download code to OpenAIMixin - being a ModelRegistryHelper instead of having one (mypy blocks check_model_availability method assignment) ## Test Plan - add unit tests for new download feature - add integration tests for openai_chat_completion w/ image_url (close test gap)	2025-09-26 17:32:16 -04:00
Matthew Farrellee	7a25be633c	fix: Revert "fix: Added a bug fix when registering new models" (#3473) ... the commit to be reverted is an public api behavior change to something we should not support. instead of allowing silent updates (the caller cannot see the log messages), we should be sending an error to the caller that they must first unregister the model before reusing the same name w/ a different backend.	2025-09-26 16:19:21 -04:00
Ben Browning	b6e2934f7b	fix: Gracefully handle errors when listing MCP tools (#2544) ... # What does this PR do? When listing (and lazily indexing) tools, it's possible for an error to get thrown by individual toolgroups if for example an MCP toolgroup is unable to connect to its `mcp_endpoint`. This logs a warning in the server when that happens, logs a full stack trace of the error if debug logging is enabled, and just returns the list of tools from all working toolgroups instead of throwing an error to the client when a single toolgroup is temporarily or permanently misbehaving. The exception to the above is authentication errors, which we specifically send all the way back to the client as that's how we indicate to the client that it needs to provide authentication data for the remote MCP servers. Closes #2540 ## Test Plan A new unit test was added to test this exception handling, which is run as part of our regular test suite but also manually run to specifically verify this fix via: ``` uv run pytest -sv --asyncio-mode=auto \ tests/unit/distribution/routers/test_routing_tables.py ``` To verify the additional debug logging is printing properly: ``` LLAMA_STACK_LOGGING=core=debug \ uv run pytest -sv --asyncio-mode=auto \ tests/unit/distribution/routers/test_routing_tables.py ``` The mcp integration tests were run as below (and by CI): ``` ollama run llama3.2:3b ENABLE_OLLAMA="ollama" \ OLLAMA_INFERENCE_MODEL="meta-llama/Llama-3.2-3B-Instruct" \ LLAMA_STACK_CONFIG=starter \ uv run pytest -sv tests/integration/tool_runtime/test_mcp.py \ --text-model meta-llama/Llama-3.2-3B-Instruct ``` --------- Signed-off-by: Ben Browning <bbrownin@redhat.com> Signed-off-by: Sébastien Han <seb@redhat.com> Co-authored-by: Sébastien Han <seb@redhat.com>	2025-09-26 18:09:48 +02:00
Charlie Doern	c88c4ff2c6	feat: introduce API leveling, post_training, eval to v1alpha (#3449) ... # What does this PR do? Rather than have a single `LLAMA_STACK_VERSION`, we need to have a `_V1`, `_V1ALPHA`, and `_V1BETA` constant. This also necessitated addition of `level` to the `WebMethod` so that routing can be handeled properly. For backwards compat, the `v1` routes are being kept around and marked as `deprecated`. When used, the server will log a deprecation warning. Deprecation log: <img width="1224" height="134" alt="Screenshot 2025-09-25 at 2 43 36 PM" src="https://github.com/user-attachments/assets/0cc7c245-dafc-48f0-be99-269fb9a686f9" /> move: 1. post_training to `v1alpha` as it is under heavy development and not near its final state 2. eval: job scheduling is not implemented. Relies heavily on the datasetio API which is under development missing implementations of specific routes indicating the structure of those routes might change. Additionally eval depends on the `inference` API which is going to be deprecated, eval will likely need a major API surface change to conform to using completions properly implements leveling in #3317 note: integration tests will fail until the SDK is regenerated with v1alpha/inference as opposed to v1/inference ## Test Plan existing tests should pass with newly generated schema. Conformance will also pass as these routes are not the ones we currently test for stability Signed-off-by: Charlie Doern <cdoern@redhat.com>	2025-09-26 16:18:07 +02:00
Matthew Farrellee	65e01b5684	feat: together now supports base64 embedding encoding (#3559) ... # What does this PR do? use together's new base64 support ## Test Plan recordings for: ./scripts/integration-tests.sh --stack-config server:ci-tests --suite base --setup together --subdirs inference --pattern openai	2025-09-26 16:05:52 +02:00
Matthew Farrellee	b67aef2fc4	feat: add static embedding metadata to dynamic model listings for providers using OpenAIMixin (#3547) ... # What does this PR do? - remove auto-download of ollama embedding models - add embedding model metadata to dynamic listing w/ unit test - add support and tests for allowed_models - removed inference provider models.py files where dynamic listing is enabled - store embedding metadata in embedding_model_metadata field on inference providers - make model_entries optional on ModelRegistryHelper and LiteLLMOpenAIMixin - make OpenAIMixin a ModelRegistryHelper - skip base64 embedding test for remote::ollama, always returns floats - only use OpenAI client for ollama model listing - remove unused build_model_entry function - remove unused get_huggingface_repo function ## Test Plan ci w/ new tests	2025-09-25 17:17:00 -04:00
Matthew Farrellee	a50b63906c	chore: use ollama/all-minilm:l6-v2 for ollama tests (#3537) ... # What does this PR do? use ollama embedding models for ollama test, previously using sentence-transformer recordings: - ./scripts/integration-tests.sh --stack-config server:ci-tests --suite base --setup ollama --inference-mode record - ./scripts/integration-tests.sh --stack-config server:ci-tests --suite vision --setup ollama-vision --inference-mode record ## Test Plan ci w/ added skip base64 embedding test	2025-09-24 19:33:02 -04:00
Matthew Farrellee	ce7a3b4dff	feat: update Cerebras inference provider to support dynamic model listing (#3481) ... # What does this PR do? - update Cerebras to use OpenAIMixin - enable openai completions tests - enable openai chat completions tests - disable with n > 1 tests - add recording for --setup cerebras --subdirs inference --pattern openai ## Test Plan `./scripts/integration-tests.sh --stack-config server:ci-tests --setup cerebras --subdirs inference --pattern openai` ``` tests/integration/inference/test_openai_completion.py::test_openai_completion_non_streaming[txt=cerebras/llama-3.3-70b-inference:completion:sanity] instantiating llama_stack_client Port 8321 is already in use, assuming server is already running... llama_stack_client instantiated in 0.053s PASSED [ 2%] tests/integration/inference/test_openai_completion.py::test_openai_completion_non_streaming_suffix[txt=cerebras/llama-3.3-70b-inference:completion:suffix] SKIPPED (Suffix is not supported for the model: cerebras/llama-3.3-70b.) [ 4%] tests/integration/inference/test_openai_completion.py::test_openai_completion_streaming[txt=cerebras/llama-3.3-70b-inference:completion:sanity] PASSED [ 6%] tests/integration/inference/test_openai_completion.py::test_openai_completion_prompt_logprobs[txt=cerebras/llama-3.3-70b-1] SKIPPED (Model cerebras/llama-3.3-70b hosted by remote::cerebras doesn't support vllm extra_body parameters.) [ 8%] tests/integration/inference/test_openai_completion.py::test_openai_completion_guided_choice[txt=cerebras/llama-3.3-70b] SKIPPED (Model cerebras/llama-3.3-70b hosted by remote::cerebras doesn't support vllm extra_body parameters.) [ 10%] tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_non_streaming[openai_client-txt=cerebras/llama-3.3-70b-inference:chat_completion:non_streaming_01] PASSED [ 12%] tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_streaming[openai_client-txt=cerebras/llama-3.3-70b-inference:chat_completion:streaming_01] PASSED [ 14%] tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_streaming_with_n[openai_client-txt=cerebras/llama-3.3-70b-inference:chat_completion:streaming_01] SKIPPED (Model cerebras/llama-3.3-70b hosted by remote::cere...) [ 17%] tests/integration/inference/test_openai_completion.py::test_inference_store[openai_client-txt=cerebras/llama-3.3-70b-True] PASSED [ 19%] tests/integration/inference/test_openai_completion.py::test_inference_store_tool_calls[openai_client-txt=cerebras/llama-3.3-70b-True] PASSED [ 21%] tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_non_streaming_with_file[txt=cerebras/llama-3.3-70b] SKIPPED (Model cerebras/llama-3.3-70b hosted by remote::cerebras doesn't support chat completion calls wit...) [ 23%] tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_single_string[openai_client-cerebras/llama-3.3-70b-None-None-None-384] SKIPPED (embedding_model_id empty - skipping test) [ 25%] tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_multiple_strings[openai_client-cerebras/llama-3.3-70b-None-None-None-384] SKIPPED (embedding_model_id empty - skipping test) [ 27%] tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_with_encoding_format_float[openai_client-cerebras/llama-3.3-70b-None-None-None-384] SKIPPED (embedding_model_id empty - skipping test) [ 29%] tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_with_dimensions[openai_client-cerebras/llama-3.3-70b-None-None-None-384] SKIPPED (embedding_model_id empty - skipping test) [ 31%] tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_with_user_parameter[openai_client-cerebras/llama-3.3-70b-None-None-None-384] SKIPPED (embedding_model_id empty - skipping test) [ 34%] tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_empty_list_error[openai_client-cerebras/llama-3.3-70b-None-None-None-384] SKIPPED (embedding_model_id empty - skipping test) [ 36%] tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_invalid_model_error[openai_client-cerebras/llama-3.3-70b-None-None-None-384] SKIPPED (embedding_model_id empty - skipping test) [ 38%] tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_different_inputs_different_outputs[openai_client-cerebras/llama-3.3-70b-None-None-None-384] SKIPPED (embedding_model_id empty - skipping test) [ 40%] tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_with_encoding_format_base64[openai_client-cerebras/llama-3.3-70b-None-None-None-384] SKIPPED (embedding_model_id empty - skipping test) [ 42%] tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_base64_batch_processing[openai_client-cerebras/llama-3.3-70b-None-None-None-384] SKIPPED (embedding_model_id empty - skipping test) [ 44%] tests/integration/inference/test_openai_completion.py::test_openai_completion_prompt_logprobs[txt=cerebras/llama-3.3-70b-0] SKIPPED (Model cerebras/llama-3.3-70b hosted by remote::cerebras doesn't support vllm extra_body parameters.) [ 46%] tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_non_streaming[openai_client-txt=cerebras/llama-3.3-70b-inference:chat_completion:non_streaming_02] PASSED [ 48%] tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_streaming[openai_client-txt=cerebras/llama-3.3-70b-inference:chat_completion:streaming_02] PASSED [ 51%] tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_streaming_with_n[openai_client-txt=cerebras/llama-3.3-70b-inference:chat_completion:streaming_02] SKIPPED (Model cerebras/llama-3.3-70b hosted by remote::cere...) [ 53%] tests/integration/inference/test_openai_completion.py::test_inference_store[openai_client-txt=cerebras/llama-3.3-70b-False] PASSED [ 55%] tests/integration/inference/test_openai_completion.py::test_inference_store_tool_calls[openai_client-txt=cerebras/llama-3.3-70b-False] PASSED [ 57%] tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_single_string[llama_stack_client-cerebras/llama-3.3-70b-None-None-None-384] SKIPPED (embedding_model_id empty - skipping test) [ 59%] tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_multiple_strings[llama_stack_client-cerebras/llama-3.3-70b-None-None-None-384] SKIPPED (embedding_model_id empty - skipping test) [ 61%] tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_with_encoding_format_float[llama_stack_client-cerebras/llama-3.3-70b-None-None-None-384] SKIPPED (embedding_model_id empty - skipping test) [ 63%] tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_with_dimensions[llama_stack_client-cerebras/llama-3.3-70b-None-None-None-384] SKIPPED (embedding_model_id empty - skipping test) [ 65%] tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_with_user_parameter[llama_stack_client-cerebras/llama-3.3-70b-None-None-None-384] SKIPPED (embedding_model_id empty - skipping test) [ 68%] tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_empty_list_error[llama_stack_client-cerebras/llama-3.3-70b-None-None-None-384] SKIPPED (embedding_model_id empty - skipping test) [ 70%] tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_invalid_model_error[llama_stack_client-cerebras/llama-3.3-70b-None-None-None-384] SKIPPED (embedding_model_id empty - skipping test) [ 72%] tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_different_inputs_different_outputs[llama_stack_client-cerebras/llama-3.3-70b-None-None-None-384] SKIPPED (embedding_model_id empty - skipping test) [ 74%] tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_with_encoding_format_base64[llama_stack_client-cerebras/llama-3.3-70b-None-None-None-384] SKIPPED (embedding_model_id empty - skipping test) [ 76%] tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_base64_batch_processing[llama_stack_client-cerebras/llama-3.3-70b-None-None-None-384] SKIPPED (embedding_model_id empty - skipping test) [ 78%] tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_non_streaming[client_with_models-txt=cerebras/llama-3.3-70b-inference:chat_completion:non_streaming_01] PASSED [ 80%] tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_streaming[client_with_models-txt=cerebras/llama-3.3-70b-inference:chat_completion:streaming_01] PASSED [ 82%] tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_streaming_with_n[client_with_models-txt=cerebras/llama-3.3-70b-inference:chat_completion:streaming_01] SKIPPED (Model cerebras/llama-3.3-70b hosted by remote:...) [ 85%] tests/integration/inference/test_openai_completion.py::test_inference_store[client_with_models-txt=cerebras/llama-3.3-70b-True] PASSED [ 87%] tests/integration/inference/test_openai_completion.py::test_inference_store_tool_calls[client_with_models-txt=cerebras/llama-3.3-70b-True] PASSED [ 89%] tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_non_streaming[client_with_models-txt=cerebras/llama-3.3-70b-inference:chat_completion:non_streaming_02] PASSED [ 91%] tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_streaming[client_with_models-txt=cerebras/llama-3.3-70b-inference:chat_completion:streaming_02] PASSED [ 93%] tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_streaming_with_n[client_with_models-txt=cerebras/llama-3.3-70b-inference:chat_completion:streaming_02] SKIPPED (Model cerebras/llama-3.3-70b hosted by remote:...) [ 95%] tests/integration/inference/test_openai_completion.py::test_inference_store[client_with_models-txt=cerebras/llama-3.3-70b-False] PASSED [ 97%] tests/integration/inference/test_openai_completion.py::test_inference_store_tool_calls[client_with_models-txt=cerebras/llama-3.3-70b-False] PASSED [100%] =================================================================================================================== slowest 10 durations ==================================================================================================================== 0.37s call tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_non_streaming[openai_client-txt=cerebras/llama-3.3-70b-inference:chat_completion:non_streaming_01] 0.34s call tests/integration/inference/test_openai_completion.py::test_inference_store[openai_client-txt=cerebras/llama-3.3-70b-False] 0.18s call tests/integration/inference/test_openai_completion.py::test_inference_store[client_with_models-txt=cerebras/llama-3.3-70b-True] 0.17s setup tests/integration/inference/test_openai_completion.py::test_openai_completion_non_streaming[txt=cerebras/llama-3.3-70b-inference:completion:sanity] 0.15s call tests/integration/inference/test_openai_completion.py::test_inference_store_tool_calls[client_with_models-txt=cerebras/llama-3.3-70b-True] 0.13s call tests/integration/inference/test_openai_completion.py::test_inference_store_tool_calls[openai_client-txt=cerebras/llama-3.3-70b-True] 0.12s call tests/integration/inference/test_openai_completion.py::test_inference_store_tool_calls[client_with_models-txt=cerebras/llama-3.3-70b-False] 0.12s call tests/integration/inference/test_openai_completion.py::test_inference_store[openai_client-txt=cerebras/llama-3.3-70b-True] 0.12s call tests/integration/inference/test_openai_completion.py::test_inference_store_tool_calls[openai_client-txt=cerebras/llama-3.3-70b-False] 0.08s call tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_streaming[client_with_models-txt=cerebras/llama-3.3-70b-inference:chat_completion:streaming_02] ================================================================================================================== short test summary info ================================================================================================================== SKIPPED [1] tests/integration/inference/test_openai_completion.py:75: Suffix is not supported for the model: cerebras/llama-3.3-70b. SKIPPED [3] tests/integration/inference/test_openai_completion.py:123: Model cerebras/llama-3.3-70b hosted by remote::cerebras doesn't support vllm extra_body parameters. SKIPPED [4] tests/integration/inference/test_openai_completion.py:103: Model cerebras/llama-3.3-70b hosted by remote::cerebras doesn't support n param. SKIPPED [1] tests/integration/inference/test_openai_completion.py:129: Model cerebras/llama-3.3-70b hosted by remote::cerebras doesn't support chat completion calls with base64 encoded files. SKIPPED [2] tests/integration/inference/test_openai_embeddings.py:90: embedding_model_id empty - skipping test SKIPPED [2] tests/integration/inference/test_openai_embeddings.py:112: embedding_model_id empty - skipping test SKIPPED [2] tests/integration/inference/test_openai_embeddings.py:136: embedding_model_id empty - skipping test SKIPPED [2] tests/integration/inference/test_openai_embeddings.py:154: embedding_model_id empty - skipping test SKIPPED [2] tests/integration/inference/test_openai_embeddings.py:175: embedding_model_id empty - skipping test SKIPPED [2] tests/integration/inference/test_openai_embeddings.py:195: embedding_model_id empty - skipping test SKIPPED [2] tests/integration/inference/test_openai_embeddings.py:206: embedding_model_id empty - skipping test SKIPPED [2] tests/integration/inference/test_openai_embeddings.py:217: embedding_model_id empty - skipping test SKIPPED [2] tests/integration/inference/test_openai_embeddings.py:244: embedding_model_id empty - skipping test SKIPPED [2] tests/integration/inference/test_openai_embeddings.py:278: embedding_model_id empty - skipping test ================================================================================================= 18 passed, 29 skipped, 50 deselected, 4 warnings in 3.02s ================================================================================================= ```	2025-09-23 16:26:00 -04:00
Matthew Farrellee	d07ebce4d9	feat: (re-)enable Databricks inference adapter (#3500) ... # What does this PR do? add/enable the Databricks inference adapter Databricks inference adapter was broken, closes #3486 - remove deprecated completion / chat_completion endpoints - enable dynamic model listing w/o refresh, listing is not async - use SecretStr instead of str for token - backward incompatible change: for consistency with databricks docs, env DATABRICKS_URL -> DATABRICKS_HOST and DATABRICKS_API_TOKEN -> DATABRICKS_TOKEN - databricks urls are custom per user/org, add special recorder handling for databricks urls - add integration test --setup databricks - enable chat completions tests - enable embeddings tests - disable n > 1 tests - disable embeddings base64 tests - disable embeddings dimensions tests note: reasoning models, e.g. gpt oss, fail because databricks has a custom, incompatible response format ## Test Plan ci and ``` ./scripts/integration-tests.sh --stack-config server:ci-tests --setup databricks --subdirs inference --pattern openai ``` note: databricks needs to be manually added to the ci-tests distro for replay testing	2025-09-23 15:37:23 -04:00
Matthew Farrellee	2be869b3ef	fix(dev): fix vllm inference recording (await models.list) (#3524) ... # What does this PR do? fix inference recording for vLLM closes #3523 ## Test Plan ``` $ ./scripts/integration-tests.sh --stack-config server:ci-tests --setup vllm --subdirs inference --inference-mode record --pattern test_text_chat_completion_non_streaming === Llama Stack Integration Test Runner === Stack Config: server:ci-tests Setup: vllm Inference Mode: record Test Suite: base Test Subdirs: inference Test Pattern: test_text_chat_completion_non_streaming ... === Applying Setup Environment Variables === Setting up environment variables: export VLLM_URL='http://localhost:8000/v1' === Starting Llama Stack Server === Waiting for Llama Stack Server to start... ✅ Llama Stack Server started successfully === Running Integration Tests === Test subdirs to run: inference Added test files from inference: 6 files === Running all collected tests in a single pytest command === Total test files: 6 + pytest -s -v tests/integration/inference/test_openai_completion.py tests/integration/inference/test_batch_inference.py tests/integration/inference/test_openai_embeddings.py tests/integration/inference/test_text_inference.py tests/integration/inference/test_vision_inference.py tests/integration/inference/test_embedding.py --stack-config=server:ci-tests --inference-mode=record -k 'not( builtin_tool or safety_with_image or code_interpreter or test_rag or test_inference_store_tool_calls ) and test_text_chat_completion_non_streaming' --setup=vllm --color=yes --capture=tee-sys INFO 2025-09-23 10:35:36,662 tests.integration.conftest:86 tests: Applying setup 'vllm' ======================================================= test session starts ======================================================= platform linux -- Python 3.12.11, pytest-8.4.2, pluggy-1.6.0 -- .../.venv/bin/python3 cachedir: .pytest_cache metadata: {'Python': '3.12.11', 'Platform': 'Linux-6.16.7-200.fc42.x86_64-x86_64-with-glibc2.41', 'Packages': {'pytest': '8.4.2', 'pluggy': '1.6.0'}, 'Plugins': {'html': '4.1.1', 'anyio': '4.9.0', 'timeout': '2.4.0', 'cov': '6.2.1', 'asyncio': '1.1.0', 'nbval': '0.11.0', 'socket': '0.7.0', 'json-report': '1.5.0', 'metadata': '3.1.1'}} rootdir: ... configfile: pyproject.toml plugins: html-4.1.1, anyio-4.9.0, timeout-2.4.0, cov-6.2.1, asyncio-1.1.0, nbval-0.11.0, socket-0.7.0, json-report-1.5.0, metadata-3.1.1 asyncio: mode=Mode.AUTO, asyncio_default_fixture_loop_scope=None, asyncio_default_test_loop_scope=function collected 97 items / 95 deselected / 2 selected tests/integration/inference/test_text_inference.py::test_text_chat_completion_non_streaming[txt=vllm/Qwen/Qwen3-0.6B-inference:chat_completion:non_streaming_01] instantiating llama_stack_client Port 8321 is already in use, assuming server is already running... llama_stack_client instantiated in 0.044s PASSED [ 50%] tests/integration/inference/test_text_inference.py::test_text_chat_completion_non_streaming[txt=vllm/Qwen/Qwen3-0.6B-inference:chat_completion:non_streaming_02] PASSED [100%] ====================================================== slowest 10 durations ======================================================= 1.62s call tests/integration/inference/test_text_inference.py::test_text_chat_completion_non_streaming[txt=vllm/Qwen/Qwen3-0.6B-inference:chat_completion:non_streaming_02] 0.93s call tests/integration/inference/test_text_inference.py::test_text_chat_completion_non_streaming[txt=vllm/Qwen/Qwen3-0.6B-inference:chat_completion:non_streaming_01] 0.62s setup tests/integration/inference/test_text_inference.py::test_text_chat_completion_non_streaming[txt=vllm/Qwen/Qwen3-0.6B-inference:chat_completion:non_streaming_01] (3 durations < 0.005s hidden. Use -vv to show these durations.) ========================================== 2 passed, 95 deselected, 6 warnings in 3.26s =========================================== + exit_code=0 + set +x ✅ All tests completed successfully ``` ``` $ git status ... Untracked files: (use "git add <file>..." to include in what will be committed) tests/integration/recordings/responses/032f8c5a1289.json tests/integration/recordings/responses/c42baf6a3700.json tests/integration/recordings/responses/models-bd032f995f2a-fb68f5a6.json ... ```	2025-09-23 12:56:33 -04:00
Matthew Farrellee	62e0aef7bc	fix: return llama stack model id from embeddings (#3525) ... # What does this PR do? the openai_embeddings method on OpenAIMixin was returning the provider's model id instead of the llama stack name ## Test Plan before - ``` $ ./scripts/integration-tests.sh --stack-config server:ci-tests --setup gpt --subdirs inference --inference-mode live --pattern test_openai_embeddings_single_string ... FAILED tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_single_string[openai_client-emb=openai/text-embedding-3-small] - AssertionError: assert 'text-embedding-3-small' == 'openai/text-...dding-3-small' FAILED tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_single_string[llama_stack_client-emb=openai/text-embedding-3-small] - AssertionError: assert 'text-embedding-3-small' == 'openai/text-...dding-3-small' ========================================== 2 failed, 95 deselected, 4 warnings in 3.87s =========================================== ``` after - ``` $ ./scripts/integration-tests.sh --stack-config server:ci-tests --setup gpt --subdirs inference --inference-mode live --pattern test_openai_embeddings_single_string ... ========================================== 2 passed, 95 deselected, 4 warnings in 2.12s =========================================== ```	2025-09-23 12:30:00 -04:00
slekkala1	8d8261961e	chore: Refactor fireworks to use OpenAIMixin (#3480) ... # What does this PR do? Refactor Fireworks to use OpenAIMixin Closes https://github.com/llamastack/llama-stack/issues/3391 Related to https://github.com/llamastack/llama-stack/issues/3387 ## Test Plan ``` (llama-stack) (base) swapna942@swapna942-mac llama-stack % FIREWORKS_API_KEY=**** ./scripts/integration-tests.sh --stack-config server:ci-tests --setup fireworks --subdirs inference --pattern openai tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_single_string[openai_client-emb=nomic-ai/nomic-embed-text-v1.5] instantiating llama_stack_client Port 8321 is already in use, assuming server is already running... llama_stack_client instantiated in 0.031s PASSED [ 2%] tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_multiple_strings[openai_client-emb=nomic-ai/nomic-embed-text-v1.5] PASSED [ 4%] tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_with_encoding_format_float[openai_client-emb=nomic-ai/nomic-embed-text-v1.5] PASSED [ 6%] tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_with_dimensions[openai_client-emb=nomic-ai/nomic-embed-text-v1.5] PASSED [ 8%] tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_with_user_parameter[openai_client-emb=nomic-ai/nomic-embed-text-v1.5] SKIPPED [ 10%] tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_empty_list_error[openai_client-emb=nomic-ai/nomic-embed-text-v1.5] PASSED [ 12%] tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_invalid_model_error[openai_client-emb=nomic-ai/nomic-embed-text-v1.5] PASSED [ 14%] tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_different_inputs_different_outputs[openai_client-emb=nomic-ai/nomic-embed-text-v1.5] PASSED [ 17%] tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_with_encoding_format_base64[openai_client-emb=nomic-ai/nomic-embed-text-v1.5] SKIPPED [ 19%] tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_base64_batch_processing[openai_client-emb=nomic-ai/nomic-embed-text-v1.5] SKIPPED [ 21%] tests/integration/inference/test_openai_completion.py::test_openai_completion_non_streaming[txt=accounts/fireworks/models/llama-v3p1-8b-instruct-inference:completion:sanity] PASSED [ 23%] tests/integration/inference/test_openai_completion.py::test_openai_completion_non_streaming_suffix[txt=accounts/fireworks/models/llama-v3p1-8b-instruct-inference:completion:suffix] SKIPPED [ 25%] tests/integration/inference/test_openai_completion.py::test_openai_completion_streaming[txt=accounts/fireworks/models/llama-v3p1-8b-instruct-inference:completion:sanity] PASSED [ 27%] tests/integration/inference/test_openai_completion.py::test_openai_completion_prompt_logprobs[txt=accounts/fireworks/models/llama-v3p1-8b-instruct-1] SKIPPED [ 29%] tests/integration/inference/test_openai_completion.py::test_openai_completion_guided_choice[txt=accounts/fireworks/models/llama-v3p1-8b-instruct] SKIPPED [ 31%] tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_non_streaming[openai_client-txt=accounts/fireworks/models/llama-v3p1-8b-instruct-inference:chat_completion:non_streaming_01] PASSED [ 34%] tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_streaming[openai_client-txt=accounts/fireworks/models/llama-v3p1-8b-instruct-inference:chat_completion:streaming_01] PASSED [ 36%] tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_streaming_with_n[openai_client-txt=accounts/fireworks/models/llama-v3p1-8b-instruct-inference:chat_completion:streaming_01] PASSED [ 38%] tests/integration/inference/test_openai_completion.py::test_inference_store[openai_client-txt=accounts/fireworks/models/llama-v3p1-8b-instruct-True] PASSED [ 40%] tests/integration/inference/test_openai_completion.py::test_inference_store_tool_calls[openai_client-txt=accounts/fireworks/models/llama-v3p1-8b-instruct-True] PASSED [ 42%] tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_non_streaming_with_file[txt=accounts/fireworks/models/llama-v3p1-8b-instruct] SKIPPED [ 44%] tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_single_string[llama_stack_client-emb=nomic-ai/nomic-embed-text-v1.5] PASSED [ 46%] tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_multiple_strings[llama_stack_client-emb=nomic-ai/nomic-embed-text-v1.5] PASSED [ 48%] tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_with_encoding_format_float[llama_stack_client-emb=nomic-ai/nomic-embed-text-v1.5] PASSED [ 51%] tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_with_dimensions[llama_stack_client-emb=nomic-ai/nomic-embed-text-v1.5] PASSED [ 53%] tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_with_user_parameter[llama_stack_client-emb=nomic-ai/nomic-embed-text-v1.5] SKIPPED [ 55%] tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_empty_list_error[llama_stack_client-emb=nomic-ai/nomic-embed-text-v1.5] PASSED [ 57%] tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_invalid_model_error[llama_stack_client-emb=nomic-ai/nomic-embed-text-v1.5] PASSED [ 59%] tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_different_inputs_different_outputs[llama_stack_client-emb=nomic-ai/nomic-embed-text-v1.5] PASSED [ 61%] tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_with_encoding_format_base64[llama_stack_client-emb=nomic-ai/nomic-embed-text-v1.5] SKIPPED [ 63%] tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_base64_batch_processing[llama_stack_client-emb=nomic-ai/nomic-embed-text-v1.5] SKIPPED [ 65%] tests/integration/inference/test_openai_completion.py::test_openai_completion_prompt_logprobs[txt=accounts/fireworks/models/llama-v3p1-8b-instruct-0] SKIPPED [ 68%] tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_non_streaming[openai_client-txt=accounts/fireworks/models/llama-v3p1-8b-instruct-inference:chat_completion:non_streaming_02] PASSED [ 70%] tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_streaming[openai_client-txt=accounts/fireworks/models/llama-v3p1-8b-instruct-inference:chat_completion:streaming_02] PASSED [ 72%] tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_streaming_with_n[openai_client-txt=accounts/fireworks/models/llama-v3p1-8b-instruct-inference:chat_completion:streaming_02] PASSED [ 74%] tests/integration/inference/test_openai_completion.py::test_inference_store[openai_client-txt=accounts/fireworks/models/llama-v3p1-8b-instruct-False] PASSED [ 76%] tests/integration/inference/test_openai_completion.py::test_inference_store_tool_calls[openai_client-txt=accounts/fireworks/models/llama-v3p1-8b-instruct-False] PASSED [ 78%] tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_non_streaming[client_with_models-txt=accounts/fireworks/models/llama-v3p1-8b-instruct-inference:chat_completion:non_streaming_01] PASSED [ 80%] tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_streaming[client_with_models-txt=accounts/fireworks/models/llama-v3p1-8b-instruct-inference:chat_completion:streaming_01] PASSED [ 82%] tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_streaming_with_n[client_with_models-txt=accounts/fireworks/models/llama-v3p1-8b-instruct-inference:chat_completion:streaming_01] PASSED [ 85%] tests/integration/inference/test_openai_completion.py::test_inference_store[client_with_models-txt=accounts/fireworks/models/llama-v3p1-8b-instruct-True] PASSED [ 87%] tests/integration/inference/test_openai_completion.py::test_inference_store_tool_calls[client_with_models-txt=accounts/fireworks/models/llama-v3p1-8b-instruct-True] PASSED [ 89%] tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_non_streaming[client_with_models-txt=accounts/fireworks/models/llama-v3p1-8b-instruct-inference:chat_completion:non_streaming_02] PASSED [ 91%] tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_streaming[client_with_models-txt=accounts/fireworks/models/llama-v3p1-8b-instruct-inference:chat_completion:streaming_02] PASSED [ 93%] tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_streaming_with_n[client_with_models-txt=accounts/fireworks/models/llama-v3p1-8b-instruct-inference:chat_completion:streaming_02] PASSED [ 95%] tests/integration/inference/test_openai_completion.py::test_inference_store[client_with_models-txt=accounts/fireworks/models/llama-v3p1-8b-instruct-False] PASSED [ 97%] tests/integration/inference/test_openai_completion.py::test_inference_store_tool_calls[client_with_models-txt=accounts/fireworks/models/llama-v3p1-8b-instruct-False] PASSED [100%] ========================================== slowest 10 durations ========================================== 30.01s teardown tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_multiple_strings[llama_stack_client-emb=nomic-ai/nomic-embed-text-v1.5] 30.01s teardown tests/integration/inference/test_openai_completion.py::test_inference_store_tool_calls[client_with_models-txt=accounts/fireworks/models/llama-v3p1-8b-instruct-False] 30.01s teardown tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_different_inputs_different_outputs[openai_client-emb=nomic-ai/nomic-embed-text-v1.5] 30.01s teardown tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_with_user_parameter[openai_client-emb=nomic-ai/nomic-embed-text-v1.5] 30.01s teardown tests/integration/inference/test_openai_completion.py::test_inference_store_tool_calls[openai_client-txt=accounts/fireworks/models/llama-v3p1-8b-instruct-True] 30.01s teardown tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_different_inputs_different_outputs[llama_stack_client-emb=nomic-ai/nomic-embed-text-v1.5] 30.01s teardown tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_non_streaming[openai_client-txt=accounts/fireworks/models/llama-v3p1-8b-instruct-inference:chat_completion:non_streaming_02] 30.01s teardown tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_single_string[llama_stack_client-emb=nomic-ai/nomic-embed-text-v1.5] 30.01s teardown tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_base64_batch_processing[openai_client-emb=nomic-ai/nomic-embed-text-v1.5] 30.01s teardown tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_invalid_model_error[openai_client-emb=nomic-ai/nomic-embed-text-v1.5] ================= 36 passed, 11 skipped, 50 deselected, 4 warnings in 1429.05s (0:23:49) ================= + exit_code=0 + set +x ✅ All tests completed successfully ```	2025-09-22 13:19:36 -04:00
ehhuang	f44eb935c4	chore: simplify authorized sqlstore (#3496) ... # What does this PR do? This PR is generated with AI and reviewed by me. Refactors the AuthorizedSqlStore class to store the access policy as an instance variable rather than passing it as a parameter to each method call. This simplifies the API. # Test Plan existing tests	2025-09-19 16:13:56 -07:00
ehhuang	4c2fcb6b51	chore: refactor server.main (#3462) ... # What does this PR do? As shown in #3421, we can scale stack to handle more RPS with k8s replicas. This PR enables multi process stack with uvicorn --workers so that we can achieve the same scaling without being in k8s. To achieve that we refactor main to split out the app construction logic. This method needs to be non-async. We created a new `Stack` class to house impls and have a `start()` method to be called in lifespan to start background tasks instead of starting them in the old `construct_stack`. This way we avoid having to manage an event loop manually. ## Test Plan CI > uv run --with llama-stack python -m llama_stack.core.server.server benchmarking/k8s-benchmark/stack_run_config.yaml works. > LLAMA_STACK_CONFIG=benchmarking/k8s-benchmark/stack_run_config.yaml uv run uvicorn llama_stack.core.server.server:create_app --port 8321 --workers 4 works.	2025-09-18 21:11:13 -07:00
Charlie Doern	8422bd102a	feat: combine ProviderSpec datatypes (#3378) ... # What does this PR do? currently `RemoteProviderSpec` has an `AdapterSpec` embedded in it. Remove `AdapterSpec`, and put its leftover fields into `RemoteProviderSpec`. Additionally, many of the fields were duplicated between `InlineProviderSpec` and `RemoteProviderSpec`. Move these to `ProviderSpec` so they are shared. Fixup the distro codegen to use `RemoteProviderSpec` directly rather than `remote_provider_spec` which took an AdapterSpec and returned a full provider spec ## Test Plan existing distro tests should pass. Signed-off-by: Charlie Doern <cdoern@redhat.com>	2025-09-18 16:10:00 +02:00
Matthew Farrellee	ea396a54cd	chore: update the ollama inference impl to use OpenAIMixin for openai-compat functions (#3395) ... # What does this PR do? update Ollama inference provider to use OpenAIMixin for openai-compat endpoints ## Test Plan ci	2025-09-18 13:09:57 +02:00
Matthew Farrellee	521865c388	feat: include all models from provider's /v1/models (#3471) ... # What does this PR do? this replaces the static model listing for any provider using OpenAIMixin currently - - anthropic - azure openai - gemini - groq - llama-api - nvidia - openai - sambanova - tgi - vertexai - vllm - not changed: together has its own impl ## Test Plan - new unit tests - manual for llama-api, openai, groq, gemini ``` for provider in llama-openai-compat openai groq gemini; do uv run llama stack build --image-type venv --providers inference=remote::provider --run & uv run --with llama-stack-client llama-stack-client models list | grep Total ``` results (17 sep 2025): - llama-api: 4 - openai: 86 - groq: 21 - gemini: 66 closes #3467	2025-09-18 05:17:11 -04:00
Akram Ben Aissi	4842145202	feat: Add dynamic authentication token forwarding support for vLLM (#3388) ... # What does this PR do? *Add dynamic authentication token forwarding support for vLLM provider* This enables per-request authentication tokens for vLLM providers, supporting use cases like RAG operations where different requests may need different authentication tokens. The implementation follows the same pattern as other providers like Together AI, Fireworks, and Passthrough. - Add LiteLLMOpenAIMixin that manages the vllm_api_token properly Usage: - Static: VLLM_API_TOKEN env var or config.api_token - Dynamic: X-LlamaStack-Provider-Data header with vllm_api_token All existing functionality is preserved while adding new dynamic capabilities. <!-- Provide a short summary of what this PR does and why. Link to relevant issues if applicable. --> <!-- If resolving an issue, uncomment and update the line below --> <!-- Closes #[issue-number] --> ## Test Plan <!-- Describe the tests you ran to verify your changes with result summaries. *Provide clear instructions so the plan can be easily re-executed.* --> ``` curl -X POST "http://localhost:8000/v1/chat/completions" -H "Authorization: Bearer my-dynamic-token" \ -H "X-LlamaStack-Provider-Data: {\"vllm_api_token\": \"Bearer my-dynamic-token\", \"vllm_url\": \"http://dynamic-server:8000\"}" \ -H "Content-Type: application/json" \ -d '{"model": "llama-3.1-8b", "messages": [{"role": "user", "content": "Hello!"}]}' ``` --------- Signed-off-by: Akram Ben Aissi <akram.benaissi@gmail.com>	2025-09-18 11:13:55 +02:00
Francisco Arceo	9acf49753e	fix: Fixing prompts import warning (#3455) ... # What does this PR do? Fixes this warning in llama stack build: ```bash WARNING 2025-09-15 15:29:02,197 llama_stack.core.distribution:149 core: Failed to import module prompts: No module named 'llama_stack.providers.registry.prompts'" ``` ## Test Plan Test added --------- Signed-off-by: Francisco Javier Arceo <farceo@redhat.com>	2025-09-17 10:24:58 +02:00
Omar Abdelwahab	e0e2b1bd0e	fix: Added a bug fix when registering new models (#3453) ... # What does this PR do? Modified the code in registry.py. The key changes are: 1. Removed the `return False` statement 2. Added a warning log message that includes the object type, identifier, and provider_id for better debugging. 3. The method now continues with the registration process instead of early returning. --------- Co-authored-by: Omar Abdelwahab <omara@fb.com>	2025-09-16 19:09:06 -07:00
Matthew Farrellee	49d4a5cc84	feat: add embedding and dynamic model support to Together inference adapter (#3458) ... # What does this PR do? adds embedding and dynamic model support to Together inference adapter - updated to use OpenAIMixin - workarounds for Together api quirks - recordings for together suite when subdirs=inference,pattern=openai ## Test Plan ``` $ TOGETHER_API_KEY=_NONE_ ./scripts/integration-tests.sh --stack-config server:ci-tests --setup together --subdirs inference --pattern openai ... tests/integration/inference/test_openai_completion.py::test_openai_completion_non_streaming[txt=together/meta-llama/Llama-3.3-70B-Instruct-Turbo-Free-inference:completion:sanity] instantiating llama_stack_client Port 8321 is already in use, assuming server is already running... llama_stack_client instantiated in 0.121s PASSED [ 2%] tests/integration/inference/test_openai_completion.py::test_openai_completion_non_streaming_suffix[txt=together/meta-llama/Llama-3.3-70B-Instruct-Turbo-Free-inference:completion:suffix] SKIPPED [ 4%] tests/integration/inference/test_openai_completion.py::test_openai_completion_streaming[txt=together/meta-llama/Llama-3.3-70B-Instruct-Turbo-Free-inference:completion:sanity] PASSED [ 6%] tests/integration/inference/test_openai_completion.py::test_openai_completion_prompt_logprobs[txt=together/meta-llama/Llama-3.3-70B-Instruct-Turbo-Free-1] SKIPPED [ 8%] tests/integration/inference/test_openai_completion.py::test_openai_completion_guided_choice[txt=together/meta-llama/Llama-3.3-70B-Instruct-Turbo-Free] SKIPPED [ 10%] tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_non_streaming[openai_client-txt=together/meta-llama/Llama-3.3-70B-Instruct-Turbo-Free-inference:chat_completion:non_streaming_01] PASSED [ 12%] tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_streaming[openai_client-txt=together/meta-llama/Llama-3.3-70B-Instruct-Turbo-Free-inference:chat_completion:streaming_01] PASSED [ 14%] tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_streaming_with_n[openai_client-txt=together/meta-llama/Llama-3.3-70B-Instruct-Turbo-Free-inference:chat_completion:streaming_01] SKIPPED [ 17%] tests/integration/inference/test_openai_completion.py::test_inference_store[openai_client-txt=together/meta-llama/Llama-3.3-70B-Instruct-Turbo-Free-True] PASSED [ 19%] tests/integration/inference/test_openai_completion.py::test_inference_store_tool_calls[openai_client-txt=together/meta-llama/Llama-3.3-70B-Instruct-Turbo-Free-True] PASSED [ 21%] tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_non_streaming_with_file[txt=together/meta-llama/Llama-3.3-70B-Instruct-Turbo-Free] SKIPPED [ 23%] tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_single_string[openai_client-emb=together/togethercomputer/m2-bert-80M-32k-retrieval] PASSED [ 25%] tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_multiple_strings[openai_client-emb=together/togethercomputer/m2-bert-80M-32k-retrieval] PASSED [ 27%] tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_with_encoding_format_float[openai_client-emb=together/togethercomputer/m2-bert-80M-32k-retrieval] PASSED [ 29%] tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_with_dimensions[openai_client-emb=together/togethercomputer/m2-bert-80M-32k-retrieval] SKIPPED [ 31%] tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_with_user_parameter[openai_client-emb=together/togethercomputer/m2-bert-80M-32k-retrieval] SKIPPED [ 34%] tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_empty_list_error[openai_client-emb=together/togethercomputer/m2-bert-80M-32k-retrieval] PASSED [ 36%] tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_invalid_model_error[openai_client-emb=together/togethercomputer/m2-bert-80M-32k-retrieval] PASSED [ 38%] tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_different_inputs_different_outputs[openai_client-emb=together/togethercomputer/m2-bert-80M-32k-retrieval] PASSED [ 40%] tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_with_encoding_format_base64[openai_client-emb=together/togethercomputer/m2-bert-80M-32k-retrieval] SKIPPED [ 42%] tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_base64_batch_processing[openai_client-emb=together/togethercomputer/m2-bert-80M-32k-retrieval] SKIPPED [ 44%] tests/integration/inference/test_openai_completion.py::test_openai_completion_prompt_logprobs[txt=together/meta-llama/Llama-3.3-70B-Instruct-Turbo-Free-0] SKIPPED [ 46%] tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_non_streaming[openai_client-txt=together/meta-llama/Llama-3.3-70B-Instruct-Turbo-Free-inference:chat_completion:non_streaming_02] PASSED [ 48%] tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_streaming[openai_client-txt=together/meta-llama/Llama-3.3-70B-Instruct-Turbo-Free-inference:chat_completion:streaming_02] PASSED [ 51%] tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_streaming_with_n[openai_client-txt=together/meta-llama/Llama-3.3-70B-Instruct-Turbo-Free-inference:chat_completion:streaming_02] SKIPPED [ 53%] tests/integration/inference/test_openai_completion.py::test_inference_store[openai_client-txt=together/meta-llama/Llama-3.3-70B-Instruct-Turbo-Free-False] PASSED [ 55%] tests/integration/inference/test_openai_completion.py::test_inference_store_tool_calls[openai_client-txt=together/meta-llama/Llama-3.3-70B-Instruct-Turbo-Free-False] PASSED [ 57%] tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_single_string[llama_stack_client-emb=together/togethercomputer/m2-bert-80M-32k-retrieval] PASSED [ 59%] tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_multiple_strings[llama_stack_client-emb=together/togethercomputer/m2-bert-80M-32k-retrieval] PASSED [ 61%] tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_with_encoding_format_float[llama_stack_client-emb=together/togethercomputer/m2-bert-80M-32k-retrieval] PASSED [ 63%] tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_with_dimensions[llama_stack_client-emb=together/togethercomputer/m2-bert-80M-32k-retrieval] SKIPPED [ 65%] tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_with_user_parameter[llama_stack_client-emb=together/togethercomputer/m2-bert-80M-32k-retrieval] SKIPPED [ 68%] tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_empty_list_error[llama_stack_client-emb=together/togethercomputer/m2-bert-80M-32k-retrieval] PASSED [ 70%] tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_invalid_model_error[llama_stack_client-emb=together/togethercomputer/m2-bert-80M-32k-retrieval] PASSED [ 72%] tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_different_inputs_different_outputs[llama_stack_client-emb=together/togethercomputer/m2-bert-80M-32k-retrieval] PASSED [ 74%] tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_with_encoding_format_base64[llama_stack_client-emb=together/togethercomputer/m2-bert-80M-32k-retrieval] SKIPPED [ 76%] tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_base64_batch_processing[llama_stack_client-emb=together/togethercomputer/m2-bert-80M-32k-retrieval] SKIPPED [ 78%] tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_non_streaming[client_with_models-txt=together/meta-llama/Llama-3.3-70B-Instruct-Turbo-Free-inference:chat_completion:non_streaming_01] PASSED [ 80%] tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_streaming[client_with_models-txt=together/meta-llama/Llama-3.3-70B-Instruct-Turbo-Free-inference:chat_completion:streaming_01] PASSED [ 82%] tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_streaming_with_n[client_with_models-txt=together/meta-llama/Llama-3.3-70B-Instruct-Turbo-Free-inference:chat_completion:streaming_01] SKIPPED [ 85%] tests/integration/inference/test_openai_completion.py::test_inference_store[client_with_models-txt=together/meta-llama/Llama-3.3-70B-Instruct-Turbo-Free-True] PASSED [ 87%] tests/integration/inference/test_openai_completion.py::test_inference_store_tool_calls[client_with_models-txt=together/meta-llama/Llama-3.3-70B-Instruct-Turbo-Free-True] PASSED [ 89%] tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_non_streaming[client_with_models-txt=together/meta-llama/Llama-3.3-70B-Instruct-Turbo-Free-inference:chat_completion:non_streaming_02] PASSED [ 91%] tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_streaming[client_with_models-txt=together/meta-llama/Llama-3.3-70B-Instruct-Turbo-Free-inference:chat_completion:streaming_02] PASSED [ 93%] tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_streaming_with_n[client_with_models-txt=together/meta-llama/Llama-3.3-70B-Instruct-Turbo-Free-inference:chat_completion:streaming_02] SKIPPED [ 95%] tests/integration/inference/test_openai_completion.py::test_inference_store[client_with_models-txt=together/meta-llama/Llama-3.3-70B-Instruct-Turbo-Free-False] PASSED [ 97%] tests/integration/inference/test_openai_completion.py::test_inference_store_tool_calls[client_with_models-txt=together/meta-llama/Llama-3.3-70B-Instruct-Turbo-Free-False] PASSED [100%] ============================================ 30 passed, 17 skipped, 50 deselected, 4 warnings in 21.96s ============================================= ```	2025-09-16 11:53:41 -07:00