Feat/user stories

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Pull request overview

This PR introduces a memory annotation system that uses language models to automatically extract structured metadata from raw content. The changes establish a foundation for user story features by implementing LLM-based memory processing with dependency injection support.

• Adds umem_annotations crate to generate structured memory metadata using LLMs
• Refactors AI provider architecture from LLMProvider to AIProvider with a new LanguageModel abstraction
• Introduces dependency injection pattern in MemoryController for testing and flexibility

Reviewed changes

Copilot reviewed 32 out of 33 changed files in this pull request and generated 22 comments.

Show a summary per file

File	Description
src/memory_machine/mod.rs	Adds new memory machine module structure
src/memory_machine/base.rs	Implements core memory operations (add, update, search)
src/memory_machine/flex.rs	Adds empty flex implementation stub
src/lib.rs	Exports new memory_machine module
crates/umem_annotations/src/lib.rs	New crate for LLM-based memory annotation with comprehensive prompt engineering
crates/umem_annotations/Cargo.toml	Dependencies for annotations module
crates/umem_ai/src/lib.rs	Renames LLMProvider to AIProvider, adds LanguageModel abstraction and singleton pattern
crates/umem_ai/src/response_generators/mod.rs	Adds timeout error variant
crates/umem_ai/src/response_generators/generate_text.rs	Enhances with timeout support, retry configuration, and error type improvements
crates/umem_ai/src/response_generators/generate_object.rs	Updates to use LanguageModel, adds timeout and retry improvements
crates/umem_ai/src/utils.rs	Adds header map building utility and timeout error handling
crates/umem_ai/src/providers/openai.rs	Refactors to use HeaderMap, adds organization/project headers, updates tests
crates/umem_ai/src/providers/mod.rs	Exports all OpenAI provider types
crates/umem_ai/src/providers/azure_openai.rs	Updates error type from GenerateTextError to ResponseGeneratorError
crates/umem_ai/src/providers/anthropic.rs	Updates error type from GenerateTextError to ResponseGeneratorError
crates/umem_ai/src/providers/amazon_bedrock.rs	Updates error type from GenerateTextError to ResponseGeneratorError
crates/umem_ai/Cargo.toml	Adds umem_config dependency
crates/umem_controller/src/lib.rs	Adds CreateMemoryOptions for dependency injection of vector store, embedder, and model
crates/umem_controller/src/create_memory_request.rs	Implements async memory building with LLM annotations
crates/umem_controller/Cargo.toml	Adds umem_ai and umem_annotations dependencies
crates/umem_config/src/lib.rs	Adds language model configuration with OpenAI provider support
crates/umem_core/src/temporal_metadata.rs	Adds Default derive
crates/umem_core/src/provenance.rs	Adds JsonSchema, Clone, Default derives and default variants
crates/umem_core/src/memory_signals.rs	Adds JsonSchema, Clone, Default derives
crates/umem_core/src/memory_kind.rs	Adds JsonSchema derive
crates/umem_core/src/memory_content.rs	Adds JsonSchema and Default derives
crates/umem_core/src/lib.rs	Adds Default derive to Memory
crates/umem_core/src/credence.rs	Adds JsonSchema and Default derives
crates/umem_core/Cargo.toml	Adds schemars dependency
crates/umem_mcp/src/service.rs	Updates create call to pass None for options
crates/umem_grpc_server/src/service.rs	Updates create call to pass None for options
Cargo.toml	Adds umem_annotations to workspace and root dependencies
Cargo.lock	Updates lock file with new dependencies

Comments suppressed due to low confidence (2)

crates/umem_ai/src/providers/openai.rs:426

• Test uses outdated type reference. The test creates an LLMProvider, but this type has been renamed to AIProvider in the main code. Update the test to use AIProvider::from(...) instead.

        let provider = Arc::new(LLMProvider::from(
            OpenAIProviderBuilder::new()
                .api_key("")
                .base_url("https://openrouter.ai/api/v1")

crates/umem_ai/src/providers/openai.rs:461

• Test uses outdated type reference. The test creates an LLMProvider, but this type has been renamed to AIProvider in the main code. Update the test to use AIProvider::from(...) instead.

        let provider = Arc::new(LLMProvider::from(
            OpenAIProviderBuilder::new()
                .api_key("")
                .base_url("https://openrouter.ai/api/v1")

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