mirror of
https://github.com/meta-llama/llama-stack.git
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e8ecc99524
# What does this PR do? chunk_id in the Chunk class executes actual logic to compute a chunk ID. This sort of logic should not live in the API spec. Instead, the providers should be in charge of calling generate_chunk_id, and pass it to `Chunk`. this removes the incorrect dependency between Provider impl and API impl Signed-off-by: Charlie Doern <cdoern@redhat.com>
1942 lines
58 KiB
JSON
Generated
1942 lines
58 KiB
JSON
Generated
{
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"test_id": "tests/integration/responses/test_tool_responses.py::test_response_sequential_file_search[client_with_models-txt=openai/gpt-4o:emb=sentence-transformers/nomic-ai/nomic-embed-text-v1.5:dim=768]",
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"request": {
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"url": "https://api.openai.com/v1/v1/chat/completions",
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"headers": {},
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"body": {
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"model": "gpt-4o",
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"messages": [
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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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"type": "function",
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"function": {
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"name": "knowledge_search",
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"arguments": "{\"query\":\"Llama 4 Maverick model number of experts\"}"
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}
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"role": "tool",
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"tool_call_id": "call_FzhOmTdZThRndI5rSASPdAqr",
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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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{
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"type": "text",
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"text": "[1] document_id: file-797509666839, score: 0.019272299825769716, attributes: {'filename': 'test_sequential_file_search.txt', 'chunk_id': '3907d885-d8e7-a72d-1113-f7080454d97c', 'document_id': 'file-797509666839', 'token_count': 19.0, 'metadata_token_count': 11.0} (cite as <|file-797509666839|>)\nThe Llama 4 Maverick model has 128 experts in its mixture of experts architecture.\n"
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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-797509666839|>."
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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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"role": "assistant",
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"content": "",
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"tool_calls": [
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"index": 0,
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"id": "call_y4Py1L2VscRQ5IBZ7gGpqpWv",
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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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"role": "tool",
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"tool_call_id": "call_y4Py1L2VscRQ5IBZ7gGpqpWv",
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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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{
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"type": "text",
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"text": "[1] document_id: file-797509666839, score: 0.006060445770495757, attributes: {'filename': 'test_sequential_file_search.txt', 'chunk_id': '3907d885-d8e7-a72d-1113-f7080454d97c', 'document_id': 'file-797509666839', 'token_count': 19.0, 'metadata_token_count': 11.0} (cite as <|file-797509666839|>)\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 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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"stream": true,
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"stream_options": {
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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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"model": "gpt-4o"
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