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README.md

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## Project Structure
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```
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agent_memory_toolkit/ Python library — sync API
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cosmos_memory_client.py CosmosMemoryClient — local CRUD, Cosmos DB, embeddings, processing
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embeddings.py EmbeddingsClient — Azure OpenAI embeddings (internal)
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processing.py ProcessingClient — Durable Functions polling (internal)
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models.py Pydantic data models (MemoryRecord, enums)
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exceptions.py Custom exception hierarchy
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_query_builder.py Shared query builder (private)
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_utils.py Shared helpers (private)
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aio/ Async API (mirrors azure.cosmos.aio convention)
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cosmos_memory_client.py AsyncCosmosMemoryClient
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embeddings.py AsyncEmbeddingsClient (internal)
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processing.py AsyncProcessingClient (internal)
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azure_functions/ Durable Functions — orchestrator, activities, HTTP trigger
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prompts/ LLM system prompts — summarize, facts, user_summary + update variants
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Samples/ Categorized notebooks, quickstarts, processing examples, advanced flows, and scenarios
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Notebooks/ Demo notebooks
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Quickstarts/ Minimal local and Cosmos DB examples
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Processing/ Focused processing examples
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Advanced/ Advanced lifecycle and search examples
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Scenarios/ End-to-end scenario examples
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Docs/ Documentation — concepts, local testing, Azure deployment
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tests/ Unit + integration tests (pytest)
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```
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## Quickstart
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### 1. Install

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