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# 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>
763 lines
23 KiB
JSON
Generated
763 lines
23 KiB
JSON
Generated
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"test_id": "tests/integration/responses/test_tool_responses.py::test_response_non_streaming_file_search[client_with_models-txt=openai/gpt-4o:emb=sentence-transformers/nomic-ai/nomic-embed-text-v1.5:dim=768-llama_experts]",
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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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"type": "function",
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"function": {
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"name": "knowledge_search",
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"arguments": "{\"query\":\"Llama 4 Maverick model experts count\"}"
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}
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"role": "tool",
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"tool_call_id": "call_gZXRKN1HMDC16NP9wNPAkP9K",
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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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"text": "[1] document_id: file-864460993305, score: 0.011418752464355166, attributes: {'filename': 'test_response_non_streaming_file_search.txt', 'chunk_id': '869ae0c0-ab85-ca6f-e5d0-024381443c27', 'document_id': 'file-864460993305', 'token_count': 10.0, 'metadata_token_count': 13.0} (cite as <|file-864460993305|>)\nLlama 4 Maverick has 128 experts\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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"type": "text",
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"text": "The above results were retrieved to help answer the user's query: \"Llama 4 Maverick model experts count\". 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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"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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"required": [
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"query"
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"endpoint": "/v1/chat/completions",
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"model": "gpt-4o"
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