diff --git a/docs/docs/getting_started/detailed_tutorial.mdx b/docs/docs/getting_started/detailed_tutorial.mdx index c629e26f1..623301d0d 100644 --- a/docs/docs/getting_started/detailed_tutorial.mdx +++ b/docs/docs/getting_started/detailed_tutorial.mdx @@ -239,8 +239,13 @@ client = LlamaStackClient(base_url="http://localhost:8321") models = client.models.list() # Select the first LLM -llm = next(m for m in models if m.model_type == "llm" and m.provider_id == "ollama") -model_id = llm.identifier +llm = next( + m for m in models + if m.custom_metadata + and m.custom_metadata.get("model_type") == "llm" + and m.custom_metadata.get("provider_id") == "ollama" +) +model_id = llm.id print("Model:", model_id) @@ -279,8 +284,13 @@ import uuid client = LlamaStackClient(base_url=f"http://localhost:8321") models = client.models.list() -llm = next(m for m in models if m.model_type == "llm" and m.provider_id == "ollama") -model_id = llm.identifier +llm = next( + m for m in models + if m.custom_metadata + and m.custom_metadata.get("model_type") == "llm" + and m.custom_metadata.get("provider_id") == "ollama" +) +model_id = llm.id agent = Agent(client, model=model_id, instructions="You are a helpful assistant.") @@ -450,8 +460,11 @@ import uuid client = LlamaStackClient(base_url="http://localhost:8321") # Create a vector database instance -embed_lm = next(m for m in client.models.list() if m.model_type == "embedding") -embedding_model = embed_lm.identifier +embed_lm = next( + m for m in client.models.list() + if m.custom_metadata and m.custom_metadata.get("model_type") == "embedding" +) +embedding_model = embed_lm.id vector_db_id = f"v{uuid.uuid4().hex}" # The VectorDB API is deprecated; the server now returns its own authoritative ID. # We capture the correct ID from the response's .identifier attribute. @@ -489,9 +502,11 @@ client.tool_runtime.rag_tool.insert( llm = next( m for m in client.models.list() - if m.model_type == "llm" and m.provider_id == "ollama" + if m.custom_metadata + and m.custom_metadata.get("model_type") == "llm" + and m.custom_metadata.get("provider_id") == "ollama" ) -model = llm.identifier +model = llm.id # Create the RAG agent rag_agent = Agent( diff --git a/src/llama_stack/core/ui/page/distribution/models.py b/src/llama_stack/core/ui/page/distribution/models.py index f84508746..e00b327ae 100644 --- a/src/llama_stack/core/ui/page/distribution/models.py +++ b/src/llama_stack/core/ui/page/distribution/models.py @@ -12,7 +12,7 @@ from llama_stack.core.ui.modules.api import llama_stack_api def models(): # Models Section st.header("Models") - models_info = {m.identifier: m.to_dict() for m in llama_stack_api.client.models.list()} + models_info = {m.id: m.model_dump() for m in llama_stack_api.client.models.list()} selected_model = st.selectbox("Select a model", list(models_info.keys())) st.json(models_info[selected_model]) diff --git a/src/llama_stack/core/ui/page/playground/chat.py b/src/llama_stack/core/ui/page/playground/chat.py index d391d0fb7..c813f05dc 100644 --- a/src/llama_stack/core/ui/page/playground/chat.py +++ b/src/llama_stack/core/ui/page/playground/chat.py @@ -12,7 +12,11 @@ from llama_stack.core.ui.modules.api import llama_stack_api with st.sidebar: st.header("Configuration") available_models = llama_stack_api.client.models.list() - available_models = [model.identifier for model in available_models if model.model_type == "llm"] + available_models = [ + model.id + for model in available_models + if model.custom_metadata and model.custom_metadata.get("model_type") == "llm" + ] selected_model = st.selectbox( "Choose a model", available_models, diff --git a/src/llama_stack/testing/api_recorder.py b/src/llama_stack/testing/api_recorder.py index eb43019c9..f46f07458 100644 --- a/src/llama_stack/testing/api_recorder.py +++ b/src/llama_stack/testing/api_recorder.py @@ -156,7 +156,7 @@ def normalize_inference_request(method: str, url: str, headers: dict[str, Any], } # Include test_id for isolation, except for shared infrastructure endpoints - if parsed.path not in ("/api/tags", "/v1/models"): + if parsed.path not in ("/api/tags", "/v1/models", "/v1/openai/v1/models"): normalized["test_id"] = test_id normalized_json = json.dumps(normalized, sort_keys=True) @@ -430,7 +430,7 @@ class ResponseStorage: # For model-list endpoints, include digest in filename to distinguish different model sets endpoint = request.get("endpoint") - if endpoint in ("/api/tags", "/v1/models"): + if endpoint in ("/api/tags", "/v1/models", "/v1/openai/v1/models"): digest = _model_identifiers_digest(endpoint, response) response_file = f"models-{request_hash}-{digest}.json" @@ -554,13 +554,14 @@ def _model_identifiers_digest(endpoint: str, response: dict[str, Any]) -> str: Supported endpoints: - '/api/tags' (Ollama): response body has 'models': [ { name/model/digest/id/... }, ... ] - '/v1/models' (OpenAI): response body is: [ { id: ... }, ... ] + - '/v1/openai/v1/models' (OpenAI): response body is: [ { id: ... }, ... ] Returns a list of unique identifiers or None if structure doesn't match. """ if "models" in response["body"]: # ollama items = response["body"]["models"] else: - # openai + # openai or openai-style endpoints items = response["body"] idents = [m.model if endpoint == "/api/tags" else m.id for m in items] return sorted(set(idents)) @@ -581,7 +582,7 @@ def _combine_model_list_responses(endpoint: str, records: list[dict[str, Any]]) seen: dict[str, dict[str, Any]] = {} for rec in records: body = rec["response"]["body"] - if endpoint == "/v1/models": + if endpoint in ("/v1/models", "/v1/openai/v1/models"): for m in body: key = m.id seen[key] = m @@ -665,7 +666,7 @@ async def _patched_inference_method(original_method, self, client_type, endpoint logger.info(f" Test context: {get_test_context()}") if mode == APIRecordingMode.LIVE or storage is None: - if endpoint == "/v1/models": + if endpoint in ("/v1/models", "/v1/openai/v1/models"): return original_method(self, *args, **kwargs) else: return await original_method(self, *args, **kwargs) @@ -699,7 +700,7 @@ async def _patched_inference_method(original_method, self, client_type, endpoint recording = None if mode == APIRecordingMode.REPLAY or mode == APIRecordingMode.RECORD_IF_MISSING: # Special handling for model-list endpoints: merge all recordings with this hash - if endpoint in ("/api/tags", "/v1/models"): + if endpoint in ("/api/tags", "/v1/models", "/v1/openai/v1/models"): records = storage._model_list_responses(request_hash) recording = _combine_model_list_responses(endpoint, records) else: @@ -739,13 +740,13 @@ async def _patched_inference_method(original_method, self, client_type, endpoint ) if mode == APIRecordingMode.RECORD or (mode == APIRecordingMode.RECORD_IF_MISSING and not recording): - if endpoint == "/v1/models": + if endpoint in ("/v1/models", "/v1/openai/v1/models"): response = original_method(self, *args, **kwargs) else: response = await original_method(self, *args, **kwargs) # we want to store the result of the iterator, not the iterator itself - if endpoint == "/v1/models": + if endpoint in ("/v1/models", "/v1/openai/v1/models"): response = [m async for m in response] request_data = { diff --git a/tests/integration/common/recordings/models-64a2277c90f0f42576f60c1030e3a020403d34a95f56931b792d5939f4cebc57-329b4213.json b/tests/integration/common/recordings/models-64a2277c90f0f42576f60c1030e3a020403d34a95f56931b792d5939f4cebc57-329b4213.json deleted file mode 100644 index 27c3472b3..000000000 --- a/tests/integration/common/recordings/models-64a2277c90f0f42576f60c1030e3a020403d34a95f56931b792d5939f4cebc57-329b4213.json +++ /dev/null @@ -1,916 +0,0 @@ -{ - "test_id": null, - "request": { - "method": "POST", - "url": "https://api.openai.com/v1/v1/models", - "headers": {}, - "body": {}, - "endpoint": "/v1/models", - "model": "" - }, - "response": { - "body": [ - { - "__type__": "openai.types.model.Model", - "__data__": { - "id": "gpt-4-0613", - "created": 1686588896, - "object": "model", - "owned_by": "openai" - } - }, - { - "__type__": 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"display_name": "Gemini 2.5 Flash Native Audio Preview 09-2025" - } - }, - { - "__type__": "openai.types.model.Model", - "__data__": { - "id": "models/lyria-realtime-exp", - "created": null, - "object": "model", - "owned_by": "google", - "display_name": "Lyria Realtime Experimental" - } - } - ], - "is_streaming": false - }, - "id_normalization_mapping": {} -} diff --git a/tests/integration/conftest.py b/tests/integration/conftest.py index e5ae72fc1..0d0af687f 100644 --- a/tests/integration/conftest.py +++ b/tests/integration/conftest.py @@ -368,10 +368,8 @@ def vector_provider_wrapper(func): return func(*args, **kwargs) - # For CI tests (replay/record), only use providers that are available in ci-tests environment - if os.environ.get("LLAMA_STACK_TEST_INFERENCE_MODE") in ("replay", "record"): - all_providers = ["faiss", "sqlite-vec"] - else: + inference_mode = os.environ.get("LLAMA_STACK_TEST_INFERENCE_MODE") + if inference_mode == "live": # For live tests, try all providers (they'll skip if not available) all_providers = [ "faiss", @@ -382,6 +380,9 @@ def vector_provider_wrapper(func): "weaviate", "qdrant", ] + else: + # For CI tests (replay/record), only use providers that are available in ci-tests environment + all_providers = ["faiss", "sqlite-vec"] return pytest.mark.parametrize("vector_io_provider_id", all_providers)(wrapper) diff --git a/tests/integration/fixtures/common.py b/tests/integration/fixtures/common.py index 57775ce25..67e459cc5 100644 --- a/tests/integration/fixtures/common.py +++ b/tests/integration/fixtures/common.py @@ -160,7 +160,7 @@ def client_with_models( providers = [p for p in client.providers.list() if p.api == "inference"] assert len(providers) > 0, "No inference providers found" - model_ids = {m.identifier for m in client.models.list()} + model_ids = {m.id for m in client.models.list()} if text_model_id and text_model_id not in model_ids: raise ValueError(f"text_model_id {text_model_id} not found") diff --git a/tests/integration/inference/test_openai_completion.py b/tests/integration/inference/test_openai_completion.py index 18406610f..1568ffbe2 100644 --- a/tests/integration/inference/test_openai_completion.py +++ b/tests/integration/inference/test_openai_completion.py @@ -27,9 +27,11 @@ def _normalize_text(text: str) -> str: def provider_from_model(client_with_models, model_id): - models = {m.identifier: m for m in client_with_models.models.list()} - models.update({m.provider_resource_id: m for m in client_with_models.models.list()}) - provider_id = models[model_id].provider_id + models = {m.id: m for m in client_with_models.models.list()} + models.update( + {m.custom_metadata["provider_resource_id"]: m for m in client_with_models.models.list() if m.custom_metadata} + ) + provider_id = models[model_id].custom_metadata["provider_id"] providers = {p.provider_id: p for p in client_with_models.providers.list()} return providers[provider_id] diff --git a/tests/integration/inference/test_openai_embeddings.py b/tests/integration/inference/test_openai_embeddings.py index ee21030fa..704775716 100644 --- a/tests/integration/inference/test_openai_embeddings.py +++ b/tests/integration/inference/test_openai_embeddings.py @@ -31,9 +31,11 @@ def decode_base64_to_floats(base64_string: str) -> list[float]: def provider_from_model(client_with_models, model_id): - models = {m.identifier: m for m in client_with_models.models.list()} - models.update({m.provider_resource_id: m for m in client_with_models.models.list()}) - provider_id = models[model_id].provider_id + models = {m.id: m for m in client_with_models.models.list()} + models.update( + {m.custom_metadata["provider_resource_id"]: m for m in client_with_models.models.list() if m.custom_metadata} + ) + provider_id = models[model_id].custom_metadata["provider_id"] providers = {p.provider_id: p for p in client_with_models.providers.list()} return providers[provider_id] diff --git a/tests/integration/inference/test_provider_data_routing.py b/tests/integration/inference/test_provider_data_routing.py index 9b9806345..34ee2672f 100644 --- a/tests/integration/inference/test_provider_data_routing.py +++ b/tests/integration/inference/test_provider_data_routing.py @@ -56,7 +56,7 @@ def test_unregistered_model_routing_with_provider_data(client_with_models): test_model_id = "anthropic/claude-3-5-sonnet-20241022" # First, verify the model is NOT registered - registered_models = {m.identifier for m in client.models.list()} + registered_models = {m.id for m in client.models.list()} assert test_model_id not in registered_models, f"Model {test_model_id} should not be pre-registered for this test" # Check if anthropic provider is available in ci-tests diff --git a/tests/integration/recordings/responses/models-7d9446738fd7-d5d684a3.json b/tests/integration/recordings/responses/models-7d9446738fd7-d5d684a3.json deleted file mode 100644 index 23d2704e1..000000000 --- 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], + "is_streaming": true + }, + "id_normalization_mapping": {} +} diff --git a/tests/integration/responses/recordings/d058ce92a083c160c08eb29e7b396e65fa55f4ddf217d2bd3c92eeb85bee5251.json b/tests/integration/responses/recordings/d058ce92a083c160c08eb29e7b396e65fa55f4ddf217d2bd3c92eeb85bee5251.json index 08f05bb4f..c87e18074 100644 --- a/tests/integration/responses/recordings/d058ce92a083c160c08eb29e7b396e65fa55f4ddf217d2bd3c92eeb85bee5251.json +++ b/tests/integration/responses/recordings/d058ce92a083c160c08eb29e7b396e65fa55f4ddf217d2bd3c92eeb85bee5251.json @@ -44,9 +44,9 @@ "model": "gpt-4o-2024-08-06", "object": "chat.completion.chunk", "service_tier": "default", - "system_fingerprint": "fp_cbf1785567", + "system_fingerprint": "fp_65564d8ba5", "usage": null, - "obfuscation": "z56q5oZHGZKdtw" + "obfuscation": "QlaALFUs8MUkL1" } }, { @@ -71,9 +71,9 @@ "model": "gpt-4o-2024-08-06", "object": "chat.completion.chunk", "service_tier": "default", - "system_fingerprint": "fp_cbf1785567", + "system_fingerprint": "fp_65564d8ba5", "usage": null, - "obfuscation": "LmzSBsnBqMCfY" + "obfuscation": "iOlV5ogmcA2lY" } }, { @@ -98,9 +98,9 @@ "model": "gpt-4o-2024-08-06", "object": "chat.completion.chunk", "service_tier": "default", - "system_fingerprint": "fp_cbf1785567", + "system_fingerprint": "fp_65564d8ba5", "usage": null, - "obfuscation": "0cyvj0Txx" + "obfuscation": "ceRIrU1QP" } }, { @@ -125,9 +125,9 @@ "model": "gpt-4o-2024-08-06", "object": "chat.completion.chunk", "service_tier": "default", - "system_fingerprint": "fp_cbf1785567", + "system_fingerprint": "fp_65564d8ba5", "usage": null, - "obfuscation": "7NDFvRwCV4H" + "obfuscation": "APlxsMjumgi" } }, { @@ -152,9 +152,9 @@ "model": "gpt-4o-2024-08-06", "object": "chat.completion.chunk", "service_tier": "default", - "system_fingerprint": "fp_cbf1785567", + "system_fingerprint": "fp_65564d8ba5", "usage": null, - "obfuscation": "cXFnChS2le" + "obfuscation": "22o227oGl7" } }, { @@ -179,9 +179,9 @@ "model": "gpt-4o-2024-08-06", "object": "chat.completion.chunk", "service_tier": "default", - "system_fingerprint": "fp_cbf1785567", + "system_fingerprint": "fp_65564d8ba5", "usage": null, - "obfuscation": "KjBEmV3kP" + "obfuscation": "jVqYSyMPp" } }, { @@ -206,9 +206,9 @@ "model": "gpt-4o-2024-08-06", "object": "chat.completion.chunk", "service_tier": "default", - "system_fingerprint": "fp_cbf1785567", + "system_fingerprint": "fp_65564d8ba5", "usage": null, - "obfuscation": "HRuZPETdawxRE" + "obfuscation": "kwaF8vfGE8Iq0" } }, { @@ -233,9 +233,9 @@ "model": "gpt-4o-2024-08-06", "object": "chat.completion.chunk", "service_tier": "default", - "system_fingerprint": "fp_cbf1785567", + "system_fingerprint": "fp_65564d8ba5", "usage": null, - "obfuscation": "oWgRcLBEtgJ" + "obfuscation": "BO49orSNCbg" } }, { @@ -260,9 +260,9 @@ "model": "gpt-4o-2024-08-06", "object": "chat.completion.chunk", "service_tier": "default", - "system_fingerprint": "fp_cbf1785567", + "system_fingerprint": "fp_65564d8ba5", "usage": null, - "obfuscation": "57Wb5VAIC" + "obfuscation": "sXj0IusVB" } }, { @@ -287,9 +287,9 @@ "model": "gpt-4o-2024-08-06", "object": "chat.completion.chunk", "service_tier": "default", - "system_fingerprint": "fp_cbf1785567", + "system_fingerprint": "fp_65564d8ba5", "usage": null, - "obfuscation": "PIJlSXUHBpa" + "obfuscation": "AWJPWubNZe0" } }, { @@ -314,9 +314,9 @@ "model": "gpt-4o-2024-08-06", "object": "chat.completion.chunk", "service_tier": "default", - "system_fingerprint": "fp_cbf1785567", + "system_fingerprint": "fp_65564d8ba5", "usage": null, - "obfuscation": "z1j4e36eJaU4" + "obfuscation": "R62zt0pJlPLr" } }, { @@ -341,9 +341,9 @@ "model": "gpt-4o-2024-08-06", "object": "chat.completion.chunk", "service_tier": "default", - "system_fingerprint": "fp_cbf1785567", + "system_fingerprint": "fp_65564d8ba5", "usage": null, - "obfuscation": "jDq6ugLXW" + "obfuscation": "7evwxUskF" } }, { @@ -353,7 +353,7 @@ "choices": [ { "delta": { - "content": " \"", + "content": " '", "function_call": null, "refusal": null, "role": null, @@ -368,9 +368,9 @@ "model": "gpt-4o-2024-08-06", "object": "chat.completion.chunk", "service_tier": "default", - "system_fingerprint": "fp_cbf1785567", + "system_fingerprint": "fp_65564d8ba5", "usage": null, - "obfuscation": "Tl7ZVn6xaBP3M" + "obfuscation": "gZU6IjnJcpw1G2" } }, { @@ -395,9 +395,9 @@ "model": "gpt-4o-2024-08-06", "object": "chat.completion.chunk", "service_tier": "default", - "system_fingerprint": "fp_cbf1785567", + "system_fingerprint": "fp_65564d8ba5", "usage": null, - "obfuscation": "Jgd6CpJfjXpHnNW" + "obfuscation": "7jVg5Jl2nWu4jwl" } }, { @@ -407,7 +407,7 @@ "choices": [ { "delta": { - "content": "\"", + "content": "'", "function_call": null, "refusal": null, "role": null, @@ -422,9 +422,9 @@ "model": "gpt-4o-2024-08-06", "object": "chat.completion.chunk", "service_tier": "default", - "system_fingerprint": "fp_cbf1785567", + "system_fingerprint": "fp_65564d8ba5", "usage": null, - "obfuscation": "OYepkOsMHU8jw5" + "obfuscation": "P3Lj3LTL8IVxWFF" } }, { @@ -449,9 +449,9 @@ "model": "gpt-4o-2024-08-06", "object": "chat.completion.chunk", "service_tier": "default", - "system_fingerprint": "fp_cbf1785567", + "system_fingerprint": "fp_65564d8ba5", "usage": null, - "obfuscation": "6UnjEo5YWE1zb" + "obfuscation": "JpWlvwlhjyMCH" } }, { @@ -476,9 +476,9 @@ "model": "gpt-4o-2024-08-06", "object": "chat.completion.chunk", "service_tier": "default", - "system_fingerprint": "fp_cbf1785567", + "system_fingerprint": "fp_65564d8ba5", "usage": null, - "obfuscation": "ljnq8v7G7" + "obfuscation": "cCb3W7WER" } }, { @@ -503,333 +503,9 @@ "model": "gpt-4o-2024-08-06", "object": "chat.completion.chunk", "service_tier": "default", - "system_fingerprint": "fp_cbf1785567", + "system_fingerprint": "fp_65564d8ba5", "usage": null, - "obfuscation": "d79gDV0DqNlOO51" - } - }, - { - "__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk", - "__data__": { - "id": "rec-d058ce92a083", - 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"object": "chat.completion.chunk", - "service_tier": "default", - "system_fingerprint": "fp_cbf1785567", - "usage": null, - "obfuscation": "JBRXJQhWdglI" - } - }, - { - "__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk", - "__data__": { - "id": "rec-d058ce92a083", - "choices": [ - { - "delta": { - "content": " prominent", - "function_call": null, - "refusal": null, - "role": null, - "tool_calls": null - }, - "finish_reason": null, - "index": 0, - "logprobs": null - } - ], - "created": 0, - "model": "gpt-4o-2024-08-06", - "object": "chat.completion.chunk", - "service_tier": "default", - "system_fingerprint": "fp_cbf1785567", - "usage": null, - "obfuscation": "0mjYkG" - } - }, - { - "__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk", - "__data__": { - "id": "rec-d058ce92a083", - "choices": [ - { - "delta": { - "content": " and", - "function_call": null, - "refusal": null, - "role": null, - "tool_calls": null - }, - "finish_reason": null, - "index": 0, - "logprobs": null - } - ], - "created": 0, - "model": "gpt-4o-2024-08-06", - "object": "chat.completion.chunk", - "service_tier": "default", - "system_fingerprint": "fp_cbf1785567", - "usage": null, - "obfuscation": "hR3bcUfNkRTx" - } - }, - { - "__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk", - "__data__": { - "id": "rec-d058ce92a083", - "choices": [ - { - "delta": { - "content": " extensive", - "function_call": null, - "refusal": null, - "role": null, - "tool_calls": null - }, - "finish_reason": null, - "index": 0, - "logprobs": null - } - ], - "created": 0, - "model": "gpt-4o-2024-08-06", - "object": "chat.completion.chunk", - "service_tier": "default", - "system_fingerprint": "fp_cbf1785567", - "usage": null, - "obfuscation": "18tm6k" - } - }, - { - "__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk", - "__data__": { - "id": "rec-d058ce92a083", - "choices": [ - { - "delta": { - "content": " ring", - "function_call": null, - "refusal": null, - "role": null, - "tool_calls": null - }, - "finish_reason": null, - "index": 0, - "logprobs": null - } - ], - "created": 0, - "model": "gpt-4o-2024-08-06", - "object": "chat.completion.chunk", - "service_tier": "default", - "system_fingerprint": "fp_cbf1785567", - "usage": null, - "obfuscation": "ZIL4ZROICo4" - } - }, - { - "__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk", - "__data__": { - "id": "rec-d058ce92a083", - "choices": [ - { - "delta": { - "content": " system", - "function_call": null, - "refusal": null, - "role": null, - "tool_calls": null - }, - "finish_reason": null, - "index": 0, - "logprobs": null - } - ], - "created": 0, - "model": "gpt-4o-2024-08-06", - "object": "chat.completion.chunk", - "service_tier": "default", - "system_fingerprint": "fp_cbf1785567", - "usage": null, - "obfuscation": "EVoEpQkJL" - } - }, - { - "__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk", - "__data__": { - "id": "rec-d058ce92a083", - "choices": [ - { - "delta": { - "content": ".", - "function_call": null, - "refusal": null, - "role": null, - "tool_calls": null - }, - "finish_reason": null, - "index": 0, - "logprobs": null - } - ], - "created": 0, - "model": "gpt-4o-2024-08-06", - "object": "chat.completion.chunk", - "service_tier": "default", - "system_fingerprint": "fp_cbf1785567", - "usage": null, - "obfuscation": "cE7oSZixhWV42Kn" + "obfuscation": "2Fop5s9LRiJwy9W" } }, { @@ -854,9 +530,9 @@ "model": "gpt-4o-2024-08-06", "object": "chat.completion.chunk", "service_tier": "default", - "system_fingerprint": "fp_cbf1785567", + "system_fingerprint": "fp_65564d8ba5", "usage": null, - "obfuscation": "Dl1rR45BAF" + "obfuscation": "xxOfwVqTUk" } }, { @@ -868,11 +544,11 @@ "model": "gpt-4o-2024-08-06", "object": "chat.completion.chunk", "service_tier": "default", - "system_fingerprint": "fp_cbf1785567", + "system_fingerprint": "fp_65564d8ba5", "usage": { - "completion_tokens": 29, + "completion_tokens": 17, "prompt_tokens": 21, - "total_tokens": 50, + "total_tokens": 38, "completion_tokens_details": { "accepted_prediction_tokens": 0, "audio_tokens": 0, @@ -884,7 +560,7 @@ "cached_tokens": 0 } }, - "obfuscation": "FXirZrSNkvTrASR" + "obfuscation": "i4NbIk5oMQLkeoc" } } ], diff --git a/tests/integration/responses/recordings/dca42c8244f72a79450c018f63c234d8026087d4416c90a082bd6efb53d00f11.json b/tests/integration/responses/recordings/dca42c8244f72a79450c018f63c234d8026087d4416c90a082bd6efb53d00f11.json index b4861d29a..0bcd90781 100644 --- a/tests/integration/responses/recordings/dca42c8244f72a79450c018f63c234d8026087d4416c90a082bd6efb53d00f11.json +++ b/tests/integration/responses/recordings/dca42c8244f72a79450c018f63c234d8026087d4416c90a082bd6efb53d00f11.json @@ -44,9 +44,9 @@ "model": "gpt-4o-2024-08-06", "object": "chat.completion.chunk", "service_tier": "default", - "system_fingerprint": "fp_cbf1785567", + "system_fingerprint": "fp_65564d8ba5", "usage": null, - "obfuscation": "uWM4CTrTBdhbyI" + "obfuscation": "cGRqLRNuVJhFZa" } }, { @@ -71,9 +71,9 @@ "model": "gpt-4o-2024-08-06", "object": "chat.completion.chunk", "service_tier": "default", - "system_fingerprint": "fp_cbf1785567", + "system_fingerprint": "fp_65564d8ba5", "usage": null, - "obfuscation": "JuK3luIjXIAR0" + "obfuscation": "2ua3EmmghhhXP" } }, { @@ -98,9 +98,9 @@ "model": "gpt-4o-2024-08-06", "object": "chat.completion.chunk", "service_tier": "default", - "system_fingerprint": "fp_cbf1785567", + "system_fingerprint": "fp_65564d8ba5", "usage": null, - "obfuscation": "mKYRNnis1mCZ4" + "obfuscation": "rZtaOTot6mqOc" } }, { @@ -125,9 +125,9 @@ "model": "gpt-4o-2024-08-06", "object": "chat.completion.chunk", "service_tier": "default", - "system_fingerprint": "fp_cbf1785567", + "system_fingerprint": "fp_65564d8ba5", "usage": null, - "obfuscation": "SrAIMLQQ8Gj" + "obfuscation": "IJ9x8EQB2Hd" } }, { @@ -152,9 +152,9 @@ "model": "gpt-4o-2024-08-06", "object": "chat.completion.chunk", "service_tier": "default", - "system_fingerprint": "fp_cbf1785567", + "system_fingerprint": "fp_65564d8ba5", "usage": null, - "obfuscation": "2fzicdQg1s2C8" + "obfuscation": "O6dDC28Os9AZ0" } }, { @@ -179,9 +179,9 @@ "model": "gpt-4o-2024-08-06", "object": "chat.completion.chunk", "service_tier": "default", - "system_fingerprint": "fp_cbf1785567", + "system_fingerprint": "fp_65564d8ba5", "usage": null, - "obfuscation": "saIKgW0kJK" + "obfuscation": "euEU616rSL" } }, { @@ -206,9 +206,9 @@ "model": "gpt-4o-2024-08-06", "object": "chat.completion.chunk", "service_tier": "default", - "system_fingerprint": "fp_cbf1785567", + "system_fingerprint": "fp_65564d8ba5", "usage": null, - "obfuscation": "y4Bq9fWigLsde0J" + "obfuscation": "yqNrTRKdNUyXIsz" } }, { @@ -233,9 +233,9 @@ "model": "gpt-4o-2024-08-06", "object": "chat.completion.chunk", "service_tier": "default", - "system_fingerprint": "fp_cbf1785567", + "system_fingerprint": "fp_65564d8ba5", "usage": null, - "obfuscation": "5VaLcoYLcc" + "obfuscation": "kMQRC2wI2n" } }, { @@ -247,7 +247,7 @@ "model": "gpt-4o-2024-08-06", "object": "chat.completion.chunk", "service_tier": "default", - "system_fingerprint": "fp_cbf1785567", + "system_fingerprint": "fp_65564d8ba5", "usage": { "completion_tokens": 6, "prompt_tokens": 14, diff --git a/tests/integration/safety/test_llama_guard.py b/tests/integration/safety/test_llama_guard.py index ff8288bfd..5a73bb044 100644 --- a/tests/integration/safety/test_llama_guard.py +++ b/tests/integration/safety/test_llama_guard.py @@ -40,7 +40,7 @@ def text_model(request, client_with_models): model_id = request.param # Check if the model is available - available_models = [m.identifier for m in client_with_models.models.list()] + available_models = [m.id for m in client_with_models.models.list()] if model_id not in available_models: pytest.skip( @@ -76,7 +76,7 @@ def vision_model(request, client_with_models): model_id = request.param # Check if the model is available - available_models = [m.identifier for m in client_with_models.models.list()] + available_models = [m.id for m in client_with_models.models.list()] if model_id not in available_models: pytest.skip(