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# What does this PR do?
- Enables users to configure prompts used throughout the File Search /
Vector Retrieval
- Configuration is defined in the Vector Stores Config so they can be
modified at runtime
- Backwards compatible, which means the fields are optional and default
to the previously used values
This is the summary of the new options in the `run.yaml`
```yaml
vector_stores:
file_search_params:
header_template: 'knowledge_search tool found {num_chunks} chunks:\nBEGIN of knowledge_search tool results.\n'
footer_template: 'END of knowledge_search tool results.\n'
context_prompt_params:
chunk_annotation_template: 'Result {index}\nContent: {chunk.content}\nMetadata: {metadata}\n'
context_template: 'The above results were retrieved to help answer the user\'s query: "{query}". Use them as supporting information only in answering this query.{annotation_instruction}\n'
annotation_prompt_params:
enable_annotations: true
annotation_instruction_template: 'Cite sources immediately at the end of sentences before punctuation, using `<|file-id|>` format like \'This is a fact <|file-Cn3MSNn72ENTiiq11Qda4A|>.\'. Do not add
extra punctuation. Use only the file IDs provided, do not invent new ones.'
chunk_annotation_template: '[{index}] {metadata_text} cite as <|{file_id}|>\n{chunk_text}\n'
```
<!-- If resolving an issue, uncomment and update the line below -->
<!-- Closes #[issue-number] -->
## Test Plan
Added tests.
---------
Signed-off-by: Francisco Javier Arceo <farceo@redhat.com>
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"test_id": "tests/integration/responses/test_file_search.py::test_response_file_search_streaming_events[openai_client-txt=openai/gpt-4o]",
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"content": "What are the marketing updates?"
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"content": [
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"text": "knowledge_search tool found 4 chunks:\nBEGIN of knowledge_search tool results.\n"
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"text": "[1] document_id: file-284290576316, score: 0.004140321102320061, attributes: {'region': 'us', 'category': 'marketing', 'date': 1672531200.0, 'filename': 'us_marketing_q1.txt', 'chunk_id': 'a40d303b-40f6-42c8-a616-7a6276329426', 'document_id': 'file-284290576316', 'token_count': 21.0, 'metadata_token_count': 32.0} cite as <|file-284290576316|>\nUS promotional campaigns for Q1 2023. Revenue increased by 15% in the US region.\n"
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},
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{
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"type": "text",
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"text": "[2] document_id: file-284290576317, score: 0.004082998965730807, attributes: {'region': 'us', 'category': 'engineering', 'date': 1680307200.0, 'filename': 'us_engineering_q2.txt', 'chunk_id': '084e15ad-480a-eae8-9242-391c53854867', 'document_id': 'file-284290576317', 'token_count': 18.0, 'metadata_token_count': 32.0} cite as <|file-284290576317|>\nUS technical updates for Q2 2023. New features deployed in the US region.\n"
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},
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{
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"type": "text",
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"text": "[3] document_id: file-284290576318, score: 0.0040444179984006476, attributes: {'region': 'eu', 'category': 'marketing', 'date': 1672531200.0, 'filename': 'eu_marketing_q1.txt', 'chunk_id': 'a1b887d4-0741-1542-6e7d-0e156f032a31', 'document_id': 'file-284290576318', 'token_count': 17.0, 'metadata_token_count': 32.0} cite as <|file-284290576318|>\nEuropean advertising campaign results for Q1 2023. Strong growth in EU markets.\n"
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},
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{
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"type": "text",
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"text": "[4] document_id: file-284290576319, score: 0.0028188756275219916, attributes: {'region': 'asia', 'category': 'sales', 'date': 1688169600.0, 'filename': 'asia_sales_q3.txt', 'chunk_id': 'fc497e92-16bb-9869-2360-de27e3da396f', 'document_id': 'file-284290576319', 'token_count': 17.0, 'metadata_token_count': 31.0} cite as <|file-284290576319|>\nAsia Pacific revenue figures for Q3 2023. Record breaking quarter in Asia.\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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"type": "text",
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"text": "The above results were retrieved to help answer the user's query: \"marketing updates October 2023\". Use them as supporting information only in answering this query. Cite sources immediately at the end of sentences before punctuation, using `<|file-id|>` format like '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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