llama-stack-mirror/tests/integration/responses/recordings/4f46489a9532e9f6c0b8457067383e9deb599d5b51001b6f4c13f32342011b26.json
Francisco Javier Arceo 62005dc1a9
feat: Making static prompt values in Rag/File Search configurable in Vector Store Config (#4368)
# 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>
2025-12-15 11:39:01 -05:00

1315 lines
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Generated

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"headers": {},
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"model": "gpt-4o",
"messages": [
{
"role": "user",
"content": "What are the marketing updates?"
},
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"role": "assistant",
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"index": 0,
"id": "call_Vdxnbo2D8ds3BuKCon8XUt9P",
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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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"type": "text",
"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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"type": "text",
"text": "END of knowledge_search tool results.\n"
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