97 lines
3 KiB
Markdown
97 lines
3 KiB
Markdown
# Clinical Assistant
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The Clinical Assistant is a retrieval-grounded assistant for pediatric clinical reference questions. It is not the same as the app's note-generation/HPI workflow.
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## Responsibilities
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| Component | Responsibility |
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|---|---|
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| Browser UI | question input, source display, markdown/citation rendering, export |
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| Ped-AI backend | settings, MCP search call, answer prompt construction, model call |
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| MCP server | Nextcloud access, indexing, vector search, rerank, source metadata |
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| LiteLLM | model routing and provider abstraction |
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## Request Flow
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```txt
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User asks a question
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-> browser posts to Ped-AI
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-> Ped-AI calls MCP `nc_semantic_search`
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-> MCP returns source excerpts and metadata
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-> Ped-AI builds an answer prompt with source constraints
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-> LiteLLM model returns answer text
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-> browser renders answer and source cards
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```
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## Source Rules
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- Prefer MCP `file_path` basename for displayed source titles when present.
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- Do not relabel one source as another requested source.
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- If the user names a source and retrieval does not return it, say that before using other sources.
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- Use citations only for returned source numbers.
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- Unknown citation numbers should remain plain text instead of being guessed.
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## Table And Markdown Rendering
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LLM output is not guaranteed to be valid markdown. The browser renderer defensively handles common problems:
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- adjacent citation clusters,
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- missing closing bracket in narrow citation cases,
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- smashed bullet lists,
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- inline headings,
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- malformed pipe tables,
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- bare source numbers in source/citation table columns,
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- orphan markdown emphasis markers,
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- code blocks that must not be modified.
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Renderer fixes must be narrow. Do not add broad repairs that turn arbitrary clinical numbers into citations.
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## Image Routing
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Table lookup requests should stay in retrieval flow.
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Examples that should use retrieval:
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```txt
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show me the table
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show me Table 13.1
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summarize the developmental table
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```
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Explicit visual creation/display requests can use image flow.
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Examples:
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```txt
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create an infographic
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generate a diagram
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show me the image/figure
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```
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## Caching Policy
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Clinical answer response caching is intentionally disabled. Redis can support prompt suggestions and operational metadata, but final answers should be generated from current retrieval context.
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## Settings
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Important settings include:
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| Setting | Purpose |
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| `clinical_assistant.chat_model` | Chat model used for answers |
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| `clinical_assistant.image_model` | Image model used for explicit image generation |
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| `clinical_assistant.search_limit` | Number of MCP results requested |
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| `clinical_assistant.context_chars` | Context characters requested from MCP |
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| `clinical_assistant.system_behavior` | Admin-editable assistant behavior guidance |
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## Testing Priorities
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Add or update tests when changing:
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- citation rendering,
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- source title cleanup,
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- named-source provenance behavior,
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- table rendering,
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- image intent routing,
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- MCP result normalization,
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- model discovery or settings behavior.
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