mirror of
https://github.com/meta-llama/llama-stack.git
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a lot of simplification finally. all works
This commit is contained in:
Ashwin Bharambe
parent
b47bf340db
commit
00fd27be1f
39 changed files with 16027 additions and 1969 deletions
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@ -41,32 +41,33 @@ basic_test_cases = [
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),
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id="saturn",
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),
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pytest.param(
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ResponsesTestCase(
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input=[
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{
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"role": "user",
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"content": [
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{
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"type": "input_text",
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"text": "what teams are playing in this image?",
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}
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],
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},
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{
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"role": "user",
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"content": [
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{
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"type": "input_image",
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"image_url": "https://upload.wikimedia.org/wikipedia/commons/3/3b/LeBron_James_Layup_%28Cleveland_vs_Brooklyn_2018%29.jpg",
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}
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],
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},
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],
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expected="brooklyn nets",
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),
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id="image_input",
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),
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# TODO: Add image input test case, since this test case got Nerfed by OpenAI with a refusal
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# pytest.param(
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# ResponsesTestCase(
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# input=[
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# {
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# "role": "user",
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# "content": [
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# {
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# "type": "input_text",
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# "text": "what teams are playing in this image?",
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# }
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# ],
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# },
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# {
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# "role": "user",
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# "content": [
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# {
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# "type": "input_image",
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# "image_url": "https://upload.wikimedia.org/wikipedia/commons/3/3b/LeBron_James_Layup_%28Cleveland_vs_Brooklyn_2018%29.jpg",
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# }
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# ],
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# },
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# ],
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# expected="brooklyn nets",
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# ),
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# id="image_input",
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# ),
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]
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# Multi-turn test cases
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@ -0,0 +1,372 @@
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{
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"test_id": "tests/integration/responses/test_tool_responses.py::test_response_sequential_file_search[openai_client-txt=openai/gpt-4o:emb=openai/text-embedding-3-small:dim=1536]",
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"model": "gpt-4o",
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"messages": [
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{
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"role": "user",
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"content": "How many experts does the Llama 4 Maverick model have?"
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"arguments": "{\"query\":\"Llama 4 Maverick model number of experts\"}"
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}
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]
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{
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"role": "tool",
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"tool_call_id": "call_aPe1vS1v5bIwPgl789D5bfmW",
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"content": [
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{
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"type": "text",
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"text": "knowledge_search tool found 1 chunks:\nBEGIN of knowledge_search tool results.\n"
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},
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"type": "text",
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"text": "[1] document_id: file-690481987689, score: 2.5781234969335522, attributes: {'filename': 'test_sequential_file_search.txt', 'document_id': 'file-690481987689', 'token_count': 19.0, 'metadata_token_count': 11.0} (cite as <|file-690481987689|>)\nThe Llama 4 Maverick model has 128 experts in its mixture of experts architecture.\n"
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},
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{
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"type": "text",
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"text": "END of knowledge_search tool results.\n"
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},
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{
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"type": "text",
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"text": "The above results were retrieved to help answer the user's query: \"Llama 4 Maverick model number of experts\". Use them as supporting information only in answering this query. Cite sources immediately at the end of sentences before punctuation, using `<|file-id|>` format (e.g., 'This is a fact <|file-Cn3MSNn72ENTiiq11Qda4A|>.'). Do not add extra punctuation. Use only the file IDs provided (do not invent new ones).\n"
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}
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]
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},
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{
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"role": "assistant",
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"content": "The Llama 4 Maverick model has 128 experts in its mixture of experts architecture <|file-690481987689|>."
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},
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{
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"role": "user",
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"content": "Can you tell me more about the architecture?"
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},
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{
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"role": "assistant",
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"content": "",
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"tool_calls": [
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{
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"index": 0,
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"id": "call_UqyVZyvMh30eQuiKg7lJIUhQ",
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"type": "function",
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"function": {
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"name": "knowledge_search",
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"arguments": "{\"query\":\"Llama 4 Maverick model architecture\"}"
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}
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}
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]
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},
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{
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"role": "tool",
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"tool_call_id": "call_UqyVZyvMh30eQuiKg7lJIUhQ",
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"content": [
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"type": "text",
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"text": "knowledge_search tool found 1 chunks:\nBEGIN of knowledge_search tool results.\n"
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"text": "[1] document_id: file-690481987689, score: 1.9327567816402336, attributes: {'filename': 'test_sequential_file_search.txt', 'document_id': 'file-690481987689', 'token_count': 19.0, 'metadata_token_count': 11.0} (cite as <|file-690481987689|>)\nThe Llama 4 Maverick model has 128 experts in its mixture of experts architecture.\n"
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},
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"type": "text",
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"text": "END of knowledge_search tool results.\n"
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},
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{
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"type": "text",
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"text": "The above results were retrieved to help answer the user's query: \"Llama 4 Maverick model architecture\". Use them as supporting information only in answering this query. Cite sources immediately at the end of sentences before punctuation, using `<|file-id|>` format (e.g., 'This is a fact <|file-Cn3MSNn72ENTiiq11Qda4A|>.'). Do not add extra punctuation. Use only the file IDs provided (do not invent new ones).\n"
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}
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]
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}
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],
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"stream": true,
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"tools": [
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{
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"type": "function",
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"function": {
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"name": "knowledge_search",
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"description": "Search for information in a database.",
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"parameters": {
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"type": "object",
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"properties": {
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"query": {
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"type": "string",
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"description": "The query to search for. Can be a natural language sentence or keywords."
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}
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},
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"required": [
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"query"
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]
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"endpoint": "/v1/chat/completions",
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@ -0,0 +1,219 @@
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{
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"test_id": "tests/integration/responses/test_tool_responses.py::test_response_sequential_file_search[openai_client-txt=openai/gpt-4o:emb=openai/text-embedding-3-small:dim=1536]",
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Loading…
Add table
Add a link
Reference in a new issue