Reviewing files that changed from the base of the PR and between e6c2e1c and b913de7.

• uv.lock is excluded by !**/*.lock

• .github/workflows/staticanalysis.yml (1 hunks)
• migrations/versions/66e63cf2cf77_add_indexes_to_documents_table.py (1 hunks)
• pyproject.toml (2 hunks)
• src/crud.py (14 hunks)
• src/deriver/consumer.py (3 hunks)
• src/deriver/queue.py (4 hunks)
• src/models.py (10 hunks)
• src/routers/messages.py (2 hunks)
• src/routers/sessions.py (5 hunks)
• src/schemas.py (1 hunks)
• src/utils/cache.py (4 hunks)
• src/utils/model_client.py (4 hunks)
• tests/test_schema_validations.py (1 hunks)

migrations/versions/66e63cf2cf77_add_indexes_to_documents_table.py (1)

8-10: Confirm typing import adjustments
Switching Sequence to come from collections.abc and isolating Union from typing aligns with PEP 585 backport conventions on Python 3.9+. Ensure this import pattern is consistently applied in other migration scripts for uniformity.

src/utils/cache.py (2)

8-8: Formatting-only change; no effect on functionality.

---

13-13: Formatting-only change; no effect on functionality.

pyproject.toml (1)

39-39: Add BasedPyright as a dev dependency
Pinning basedpyright>=1.29.4 ensures the new static analyzer is installed for both CI and local development. Confirm that this version is compatible with your uv.lock and update accordingly.

src/utils/model_client.py (4)

211-211: LGTM: Appropriate use of pyright ignore directive.

The # pyright: ignore comment correctly suppresses type checking warnings for the Anthropic client call, which is likely due to typing issues in the external library rather than actual code problems.

---

351-351: LGTM: Consistent type checking suppression.

The pyright ignore directive is appropriately applied to the streaming method call, maintaining consistency with the non-streaming method.

---

456-458: LGTM: Improved code formatting.

The parentheses around the conditional expression improve readability while preserving the original logic.

---

535-537: LGTM: Consistent formatting improvement.

The formatting change matches the non-streaming method and enhances code consistency.

tests/test_schema_validations.py (1)

33-36: LGTM: Appropriate test formatting and type suppression.

The multi-line formatting improves readability, and the # pyright: ignore comment is correctly used since this test intentionally passes invalid data ("not a dict") to verify validation behavior.

src/models.py (8)

3-3: LGTM: Necessary import for improved type annotations.

The Any import supports the enhanced dictionary type annotations throughout the file.

---

105-109: LGTM: Enhanced type safety for dictionary fields.

The change from Mapped[dict] to Mapped[dict[str, Any]] provides better type clarity for metadata and configuration fields in the Workspace model.

---

122-132: LGTM: Consistent type improvements for Peer model.

The type annotations match the improvements made to the Workspace model, ensuring consistency across the codebase.

---

157-168: LGTM: Type annotation consistency maintained.

The Session model follows the same improved typing pattern as other models in the file.

---

195-196: LGTM: Message model type improvements.

Consistent application of the enhanced dictionary typing pattern.

---

256-257: LGTM: Collection model type consistency.

The type annotations align with the established pattern throughout the file.

---

287-287: LGTM: Document model type improvement.

The internal_metadata field follows the same typing enhancement pattern.

---

338-338: LGTM: QueueItem model type enhancement.

The payload field type annotation completes the consistent typing improvements across all models.

src/crud.py (5)

77-90: LGTM: Improved type annotations for workspace functions.

The enhanced type annotations for filter parameters and return types improve type safety and code clarity.

---

231-240: LGTM: Consistent type improvements for peer functions.

The type annotations follow the same improvement pattern established in the workspace functions.

---

283-315: LGTM: Enhanced session function type annotations.

The type annotations for session-related functions improve type safety and maintain consistency.

---

719-730: LGTM: Precise return type annotations.

The specific tuple type annotations for the session peer configuration function provide clear type information.

---

1247-1251: LGTM: Comprehensive parameter type annotations.

The type annotations for the get_messages function parameters improve type safety across the message handling functionality.

src/routers/sessions.py (5)

208-216: LGTM: Eliminated redundant variable assignments.

The code now directly uses session_id and workspace_id parameters instead of creating unnecessary local variables, improving code clarity.

---

239-252: LGTM: Consistent cleanup of redundant assignments.

The same improvement pattern is applied consistently across peer management functions.

---

276-288: LGTM: Continued code simplification.

The removal of redundant variable assignments maintains consistency with other functions in the file.

---

362-366: LGTM: Final cleanup of redundant patterns.

The code cleanup is applied consistently throughout all session peer management functions.

---

448-448: ```shell
#!/bin/bash

Find where messages is assigned in the function returning SessionContext

rg -n "messages\s*=" -A3 src/routers/sessions.py

</details>
<details>
<summary>src/deriver/consumer.py (4)</summary>

`3-3`: **LGTM: Improved typing imports.**

Adding `Any` and `Literal` imports supports the more specific type annotations throughout the file.

---

`44-44`: **LGTM: Enhanced type specificity.**

The change from `dict` to `dict[str, Any]` provides better type safety by explicitly indicating string keys with any value type.

---

`64-72`: **LGTM: Improved code clarity and maintainability.**

The refactoring from collecting arguments in a list to explicit keyword arguments makes the code more readable and maintainable. This approach is less error-prone and makes the function call more self-documenting.

---

`77-81`: **LGTM: Cleaner formatting.**

The parentheses around the conditional expression improve readability.

</details>
<details>
<summary>src/routers/messages.py (2)</summary>

`28-28`: **LGTM: Consistent typing improvements.**

The refinement from `dict` to `dict[str, Any]` for both parameter and return type annotations improves type safety and consistency with similar changes across the codebase.



Also applies to: 32-32

---

`56-56`: **LGTM: Enhanced type specificity for payload parameter.**

The change from `list[dict]` to `list[dict[str, Any]]` provides better type safety and aligns with the typing improvements made throughout the codebase.

</details>
<details>
<summary>src/deriver/queue.py (4)</summary>

`1-1`: **LGTM: Appropriate import for explicit Task typing.**

The import of `Task` from `_asyncio` supports the improved type annotations for asyncio tasks.

---

`50-50`: **LGTM: More specific asyncio Task typing.**

The change from `set[asyncio.Task]` to `set[asyncio.Task[None]]` provides better type specificity by indicating the task return type.

---

`68-68`: **LGTM: Consistent Task typing improvement.**

The parameter type annotation change from `asyncio.Task` to `asyncio.Task[None]` aligns with the class attribute typing and improves type safety.

---

`245-245`: **LGTM: Explicit local variable typing.**

The explicit typing of the task variable as `Task[None]` improves code clarity and type checking.

</details>

</blockquote></details>

</details>

<!-- This is an auto-generated comment by CodeRabbit for review status -->

Reviewing files that changed from the base of the PR and between b913de7 and 7c07faa.

• uv.lock is excluded by !**/*.lock

• pyproject.toml (3 hunks)
• src/agent.py (2 hunks)
• src/crud.py (18 hunks)
• src/db.py (1 hunks)
• src/deriver/queue.py (4 hunks)
• src/deriver/tom/long_term.py (1 hunks)
• src/deriver/tom/single_prompt.py (3 hunks)
• src/exceptions.py (1 hunks)
• src/routers/messages.py (4 hunks)
• src/routers/peers.py (3 hunks)
• src/routers/sessions.py (8 hunks)
• src/routers/workspaces.py (1 hunks)
• src/schemas.py (3 hunks)
• src/security.py (4 hunks)
• src/utils/history.py (5 hunks)
• src/utils/model_client.py (13 hunks)

• src/db.py
• src/exceptions.py
• src/deriver/tom/single_prompt.py
• src/utils/history.py
• src/security.py

• src/schemas.py
• pyproject.toml
• src/deriver/queue.py
• src/utils/model_client.py

src/agent.py (2)

5-5: LGTM! Modern typing import cleanup.

Good removal of unused Optional import as part of the modernization to Python 3.10+ union syntax.

---

437-437: LGTM! Type annotation modernized correctly.

Excellent update from Optional[str] to str | None, aligning with modern Python 3.10+ union syntax.

src/deriver/tom/long_term.py (1)

30-30: LGTM! Type annotation modernized correctly.

Good update from Optional[list[str]] to list[str] | None, following the modern Python 3.10+ union syntax.

src/routers/workspaces.py (1)

55-55: LGTM! Type annotation modernized correctly.

Excellent update from Optional[schemas.WorkspaceGet] to schemas.WorkspaceGet | None, aligning with modern Python 3.10+ union syntax.

src/routers/sessions.py (4)

79-79: LGTM! Type annotation modernized correctly.

Good update to schemas.SessionGet | None following modern Python 3.10+ union syntax.

---

167-167: LGTM! Type annotation modernized correctly.

Excellent update from Optional[str] to str | None, aligning with modern union syntax.

---

207-216: LGTM! Clean code improvement.

Good cleanup removing redundant variable assignments and using the original parameters directly. This makes the code more concise and clear.

---

379-379: LGTM! Type annotation modernized correctly.

Good update to int | None following modern Python 3.10+ union syntax.

src/routers/messages.py (4)

3-3: LGTM! Import statement optimized.

Good cleanup removing unused Optional import while keeping Any for the explicit type annotations.

---

28-32: LGTM! Type annotations modernized correctly.

Excellent updates to use dict[str, Any] and str | None syntax, replacing the older Optional patterns with modern Python 3.10+ union types.

---

56-56: LGTM! Function signature improved.

Good type annotation using list[dict[str, Any]] for better type clarity and consistency with the modernized typing approach.

---

313-316: LGTM! Parameter types modernized correctly.

Excellent updates from Optional to union syntax (schemas.MessageGet | None and bool | None), aligning with modern Python 3.10+ standards.

src/routers/peers.py (2)

38-40: LGTM! Type annotations successfully modernized.

The migration from Optional[T] to T | None syntax is correct and aligns with modern Python 3.10+ typing conventions.

Also applies to: 120-122, 241-243

---

244-246: Type annotation update looks good.

The bool | None syntax is the modern equivalent of Optional[bool] and is correctly applied here.

src/crud.py (3)

4-4: Good addition of necessary imports.

The import of Any from typing and the explicit model imports (Session, Workspace) are appropriate additions to support the enhanced type annotations.

Also applies to: 15-16

---

74-75: Excellent type annotation modernization.

The migration from Optional[dict[str, str]] to dict[str, str] | None and similar patterns follows modern Python 3.10+ typing conventions and improves code clarity.

Also applies to: 228-229, 280-282, 324-326

---

75-75: Enhanced return type annotations provide better type safety.

The specific Select[tuple[...]] return type annotations make the expected return types explicit and improve IDE support and type checking accuracy.

Also applies to: 229-229, 282-282, 326-326, 689-689

Reviewing files that changed from the base of the PR and between 7c07faa and 604d803.

• pyproject.toml (3 hunks)
• src/agent.py (5 hunks)
• src/dependencies.py (1 hunks)
• src/deriver/consumer.py (3 hunks)
• src/deriver/tom/__init__.py (0 hunks)
• src/deriver/tom/embeddings.py (1 hunks)
• src/deriver/tom/long_term.py (3 hunks)
• src/deriver/tom/single_prompt.py (3 hunks)
• src/utils/history.py (6 hunks)
• src/utils/model_client.py (14 hunks)
• src/utils/types.py (1 hunks)

• src/deriver/tom/init.py

• src/dependencies.py

• src/deriver/consumer.py
• src/deriver/tom/long_term.py
• src/agent.py
• src/deriver/tom/single_prompt.py
• pyproject.toml
• src/utils/history.py

src/deriver/tom/embeddings.py (1)

11-13: LGTM! Clean type annotations added.

The explicit type annotations for the instance variables are consistent with the constructor parameters and improve type clarity.

src/utils/types.py (1)

13-13: ```shell
#!/bin/bash

Install the Sentry SDK to inspect ai_track’s runtime signature and annotations

pip install sentry-sdk --quiet
python3 - << 'EOF'
import sentry_sdk.ai.monitoring as m
import inspect
from pprint import pprint

print("ai_track signature:", inspect.signature(m.ai_track))
print("ai_track annotations:")
pprint(m.ai_track.annotations)
EOF

</details>
<details>
<summary>src/utils/model_client.py (3)</summary>

`68-70`: **Good modernization of type annotations.**

The update from `Optional[...]` to `type | None` syntax follows modern Python 3.10+ best practices and improves readability.

---

`14-14`: **Address the langfuse import type suppression.**

The `# pyright: ignore` comment on the langfuse import suggests type checking issues that should be resolved properly.



```web
What is the correct way to import and use langfuse decorators with proper type annotations?

---

211-211: ```shell
#!/bin/bash

Locate import and class definitions for ModelClient and AsyncAnthropic

rg -n "AsyncAnthropic" src/utils/model_client.py
rg -n "class ModelClient" src/utils/model_client.py

Show top of file to inspect imports

sed -n '1,50p' src/utils/model_client.py

</details>

</blockquote></details>

</details>

<!-- This is an auto-generated comment by CodeRabbit for review status -->

Reviewing files that changed from the base of the PR and between 604d803 and 6ce12de.

• uv.lock is excluded by !**/*.lock

• .vscode/settings.json (1 hunks)
• docs/contributing/error-handling.mdx (3 hunks)
• migrations/utils.py (5 hunks)
• migrations/versions/20f89a421aff_rename_metamessage_type_to_label.py (1 hunks)
• migrations/versions/556a16564f50_add_user_id_and_app_id_to_tables.py (1 hunks)
• migrations/versions/66e63cf2cf77_add_indexes_to_documents_table.py (1 hunks)
• migrations/versions/a1b2c3d4e5f6_initial_schema.py (1 hunks)
• migrations/versions/b765d82110bd_change_metamessages_to_user_level_with_.py (1 hunks)
• migrations/versions/c3828084f472_add_indexes_for_messages_and_.py (1 hunks)
• migrations/versions/d429de0e5338_adopt_peer_paradigm.py (1 hunks)
• pyproject.toml (4 hunks)
• src/agent.py (11 hunks)
• src/crud.py (19 hunks)
• src/deriver/consumer.py (4 hunks)
• src/deriver/queue.py (4 hunks)
• src/deriver/tom/__init__.py (0 hunks)
• src/deriver/tom/conversational.py (1 hunks)
• src/deriver/tom/embeddings.py (4 hunks)
• src/deriver/tom/long_term.py (4 hunks)
• src/deriver/tom/single_prompt.py (3 hunks)
• src/exceptions.py (1 hunks)
• src/main.py (7 hunks)
• src/models.py (13 hunks)
• src/routers/messages.py (7 hunks)
• src/routers/peers.py (10 hunks)
• src/routers/sessions.py (15 hunks)
• src/routers/workspaces.py (5 hunks)
• src/schemas.py (6 hunks)
• src/security.py (5 hunks)
• src/utils/cache.py (0 hunks)
• src/utils/history.py (6 hunks)
• src/utils/model_client.py (0 hunks)
• src/utils/types.py (1 hunks)
• tests/conftest.py (5 hunks)
• tests/routes/test_peers.py (26 hunks)
• tests/test_agent.py (1 hunks)
• tests/test_tom.py (1 hunks)
• tests/utils/test_model_client.py (0 hunks)

• src/deriver/tom/init.py
• tests/utils/test_model_client.py
• src/utils/cache.py
• src/utils/model_client.py

• src/deriver/tom/conversational.py
• .vscode/settings.json
• migrations/versions/20f89a421aff_rename_metamessage_type_to_label.py
• migrations/versions/b765d82110bd_change_metamessages_to_user_level_with_.py
• migrations/versions/c3828084f472_add_indexes_for_messages_and_.py
• migrations/versions/556a16564f50_add_user_id_and_app_id_to_tables.py
• migrations/versions/d429de0e5338_adopt_peer_paradigm.py
• docs/contributing/error-handling.mdx
• migrations/utils.py
• migrations/versions/a1b2c3d4e5f6_initial_schema.py
• src/security.py

• migrations/versions/66e63cf2cf77_add_indexes_to_documents_table.py
• src/utils/types.py
• src/deriver/consumer.py
• src/deriver/tom/embeddings.py
• src/exceptions.py
• src/deriver/queue.py
• pyproject.toml
• src/crud.py

src/routers/workspaces.py (3)

6-6: LGTM! Explicit AsyncSession import added.

Good addition for improved type clarity.

---

27-27: Excellent type annotation improvements!

Adding explicit AsyncSession typing to all db parameters improves type safety and IDE support.

Also applies to: 59-59, 84-84, 102-102

---

56-56: Good modernization of type syntax.

Using native union type syntax (| None) instead of Optional is consistent with modern Python typing practices.

Note: The static analysis hint about B008 (function calls in argument defaults) can be safely ignored here as this is the standard FastAPI pattern for dependency injection with Body().

src/schemas.py (4)

1-1: Good addition of pyright directive.

This helps suppress false positives for Pydantic model attributes.

---

3-3: LGTM! Import cleanup for modern typing.

Removing Optional in favor of union syntax is consistent with the modernization goals.

---

19-20: Excellent dictionary type refinements!

Specifying dict[str, Any] instead of generic dict greatly improves type safety and clarity throughout the schemas.

Also applies to: 26-26, 30-31, 36-39, 56-57, 63-63, 67-68, 75-78, 109-109, 113-113, 117-117, 125-127, 163-163, 165-165, 171-171, 176-177, 184-187, 211-211

---

22-22: Good addition of pyright ignore comments.

These suppress expected warnings for Pydantic ConfigDict usage patterns.

Also applies to: 42-44, 59-59, 80-82, 132-134, 167-167, 190-192, 200-202

src/routers/sessions.py (5)

6-6: LGTM! AsyncSession import added.

Consistent with other router files for improved typing.

---

36-36: Excellent type annotation improvements!

Adding explicit AsyncSession typing to all database parameters improves type safety consistently across all endpoints.

Also applies to: 83-83, 120-120, 143-143, 167-167, 201-201, 233-233, 269-269, 303-303, 325-325, 357-357, 388-388, 464-464

---

80-80: Good modernization with union type syntax.

Using native union types (| None) instead of Optional is consistent with modern Python practices.

Also applies to: 168-169, 380-380

---

208-217: Good code simplification!

Removing redundant variable assignments and using parameters directly makes the code cleaner while maintaining the same functionality.

Also applies to: 239-253, 276-289

---

448-448: Appropriate pyright ignore comment.

This suppresses expected type checking issues for the messages field assignment.

tests/test_tom.py (1)

1-72: Well-structured test module!

The tests effectively verify the existence and basic callable behavior of the tom module functions with proper async/await patterns and mocking to avoid actual LLM calls.

Key strengths:

• Proper use of pytest.mark.asyncio for async functions
• Appropriate mocking with unittest.mock.patch
• Clear test documentation with descriptive names
• Verification of both function calls and return values

tests/test_agent.py (1)

1-86: Excellent test coverage for agent module!

The tests provide comprehensive coverage of the agent module functions with sophisticated mocking strategies:

Key strengths:

• Proper async/await testing patterns
• Appropriate use of AsyncMock for streaming functions
• Complex Pydantic object mocking in test_run_tom_inference_function
• Clear separation of concerns with focused test functions
• Good verification of both function calls and data extraction

The Pydantic object mocking in the ToM inference test demonstrates thorough understanding of the new typed interfaces.

src/routers/messages.py (3)

3-3: Excellent type annotation improvements.

The addition of explicit imports for Any and AsyncSession supports the enhanced type safety throughout the file.

Also applies to: 8-8

---

28-33: Good modernization of type annotations.

The replacement of Optional[T] with T | None and explicit dict[str, Any] typing improves code clarity and aligns with modern Python typing standards.

---

272-272: Excellent explicit database session typing.

The addition of AsyncSession typing for db parameters enhances type safety and makes the database dependency explicit.

Also applies to: 320-320, 348-348, 368-368

src/main.py (2)

15-16: Excellent use of TYPE_CHECKING for conditional imports.

This pattern properly imports Sentry types only for static analysis while avoiding runtime imports.

---

32-32: Comprehensive function signature typing improvements.

The addition of explicit type annotations for parameters and return types enhances code clarity and enables better static analysis.

Also applies to: 75-75, 107-107, 158-158, 168-168, 180-182

tests/conftest.py (2)

207-207: Good explicit typing for async generator.

The AsyncGenerator[tuple[Workspace, Peer], Any] type annotation clearly specifies the fixture's return type.

---

265-342: Excellent migration to mirascope function mocking.

The replacement of class-based ModelClient mocking with granular function-level mocking for mirascope functions is well-executed. The mock return values are appropriate, including proper Pydantic model instances for ToM inference.

src/utils/history.py (3)

61-95: Excellent migration to mirascope LLM framework.

The new async functions with @llm.call and @with_langfuse decorators follow mirascope best practices. The prompt templates are well-structured and the model configuration is appropriate.

Also applies to: 98-132

---

140-140: Good modernization of type annotations.

The consistent replacement of Optional[T] with T | None syntax aligns with modern Python typing standards.

Also applies to: 175-177, 327-327

---

192-200: Well-implemented async LLM call integration.

The updated create_summary function properly awaits the new mirascope functions and handles the response conversion appropriately.

src/models.py (4)

99-99: Excellent addition of @Final decorators to model classes.

The @final decorator prevents inheritance of ORM models, which is a good practice for maintaining data integrity and preventing unintended modifications to the database schema.

Also applies to: 121-121, 156-156, 190-190, 255-255, 292-292, 339-339, 352-352, 378-378

---

101-101: Good explicit typing of tablename attributes.

Adding type annotations to __tablename__ class variables enhances static analysis and code clarity.

Also applies to: 123-123, 158-158, 192-192, 257-257, 294-294, 341-341, 354-354

---

108-112: Excellent improvement of dictionary type annotations.

The migration from generic dict to explicit dict[str, Any] for mapped columns provides better type safety and clarity about the expected data structure.

Also applies to: 126-129, 162-165, 201-204

---

244-244: Good addition of method decorators.

The @override decorator on __repr__ and type annotations on the event listener function enhance code clarity and type safety.

Also applies to: 250-250

src/deriver/tom/long_term.py (1)

14-43: LGTM! Well-structured Pydantic models for type safety.

The Pydantic models provide excellent type safety and clear data contracts for the LLM responses. The hierarchical structure with nested models is well-designed.

src/routers/peers.py (1)

13-13: Type annotations improved with explicit AsyncSession typing.

The migration from Optional[T] to T | None and explicit AsyncSession typing improves code clarity and aligns with modern Python conventions.

Also applies to: 39-42, 121-124, 242-248

src/agent.py (1)

35-62: Well-structured migration to mirascope decorators.

The refactoring from class-based Dialectic to decorated functions dialectic_call and dialectic_stream is clean and follows the new architectural pattern consistently.

tests/routes/test_peers.py (1)

3-3: Type annotations enhance test clarity.

Adding explicit type annotations for the sample_data fixture improves code readability and enables better IDE support.

Also applies to: 6-6

src/deriver/tom/single_prompt.py (1)

14-107: Comprehensive type modeling with Pydantic.

Excellent use of enums and nested Pydantic models to create a strongly-typed interface for ToM inference and user representation. The hierarchical structure clearly defines the expected outputs.

Reviewing files that changed from the base of the PR and between 6ce12de and 9d3be12.

• .github/workflows/staticanalysis.yml (1 hunks)
• pyproject.toml (4 hunks)
• tests/conftest.py (13 hunks)
• tests/integration/test_enqueue.py (16 hunks)
• tests/routes/test_keys.py (3 hunks)
• tests/routes/test_messages.py (22 hunks)
• tests/routes/test_peers.py (26 hunks)
• tests/routes/test_scoped_api.py (11 hunks)
• tests/routes/test_sessions.py (29 hunks)
• tests/routes/test_validation_api.py (7 hunks)
• tests/routes/test_workspaces.py (16 hunks)
• tests/test_agent.py (1 hunks)

• tests/routes/test_keys.py
• tests/routes/test_messages.py
• tests/routes/test_validation_api.py
• tests/routes/test_scoped_api.py
• tests/routes/test_workspaces.py
• tests/integration/test_enqueue.py
• tests/routes/test_sessions.py

• tests/test_agent.py
• pyproject.toml
• tests/routes/test_peers.py

tests/conftest.py (17)

3-6: LGTM! Well-organized import additions for type safety.

The import additions properly support the comprehensive type annotation improvements throughout the file. The organization follows good practices with collections.abc imports for modern Python typing.

---

43-46: LGTM! Proper type annotations for the TestHandler class.

The type annotations correctly specify list[logging.LogRecord] using modern Python 3.10+ union syntax and properly type the emit method parameter.

---

75-76: LGTM! Consistent type annotation for database URL parameter.

The function signature correctly uses the URL type from SQLAlchemy, maintaining consistency with other database-related functions.

---

96-96: LGTM! Proper async function type annotation.

The function signature correctly types the database URL parameter and maintains consistency with the synchronous create_test_database function.

---

148-148: LGTM! Appropriate fixture dependency typing.

The type annotation correctly specifies AsyncEngine for the database engine dependency, ensuring type safety in fixture usage.

---

157-157: LGTM! Consistent session typing for test client fixture.

The type annotation properly specifies AsyncSession for the database session dependency, maintaining type consistency across fixtures.

---

162-164: LGTM! Complete type annotations for exception handler.

The exception handler function properly types both the request parameter and the exception parameter, with appropriate pyright ignore for the unused request parameter.

---

187-188: LGTM! Minimal but functional AuthClient extension.

The AuthClient class appropriately extends TestClient with a single typed attribute for authentication type tracking. The minimal design is appropriate for its specific testing purpose.

---

199-203: LGTM! Comprehensive type annotations for auth fixture parameters.

All fixture parameters are properly typed, including the pytest-specific types for FixtureRequest and MonkeyPatch, ensuring complete type safety.

---

229-231: LGTM! Proper async generator typing for sample data.

The return type annotation correctly specifies AsyncGenerator[tuple[Workspace, Peer], Any], properly typing both the yielded value and the send type.

---

258-261: LGTM! Improved clarity by replacing lambda with named function.

The change from a lambda to a proper named function improves readability and type safety while maintaining the same functionality for the Langfuse mock decorator.

---

373-373: LGTM! Proper session type annotation for mock fixture.

The type annotation correctly specifies AsyncSession for the database session parameter, maintaining consistency with other database-related fixtures.

---

378-378: LGTM! Appropriate optional parameter typing for mock context.

The type annotation correctly uses the modern union syntax str | None for the optional parameter, maintaining consistency with the updated typing approach.

---

393-393: LGTM! Consistent parameter typing for mock CRUD function.

The type annotations properly specify the parameter types while using an underscore for the unused session parameter, following good practices for mock implementations.

---

421-422: LGTM! Updated mocking to match agent refactoring.

The changes from class method mocks (Dialectic.call/Dialectic.stream) to function-level mocks (dialectic_call/dialectic_stream) correctly align with the broader refactoring mentioned in the AI summary.

---

436-436: LGTM! Consistent mock return value structure.

The mock return value uses MagicMock(content="...") structure, which aligns with the same pattern used in the mock_mirascope_functions fixture, ensuring consistency across mocks.

---

292-369: Comprehensive mirascope function mocking - verify import paths and function signatures.

This extensive fixture replaces the previous ModelClient mocking with specific mirascope function mocks. The implementation is thorough and includes proper Pydantic object construction for type safety.

However, ensure that all the patched function paths and return value structures match the actual implementation.

#!/bin/bash
# Verify that all mocked function paths exist and signatures are correct
echo "Checking if mocked functions exist in the codebase..."

# Check main mirascope functions
echo "=== History functions ==="
ast-grep --pattern 'def create_short_summary($$$)' 
ast-grep --pattern 'def create_long_summary($$$)'

echo "=== Tom single prompt functions ==="
ast-grep --pattern 'def tom_inference($$$)'
ast-grep --pattern 'def user_representation_inference($$$)'
ast-grep --pattern 'def get_tom_inference_single_prompt($$$)'
ast-grep --pattern 'def get_user_representation_single_prompt($$$)'

echo "=== Tom long term functions ==="
ast-grep --pattern 'def get_user_representation_long_term($$$)'
ast-grep --pattern 'def extract_facts_long_term($$$)'

echo "=== Agent functions ==="
ast-grep --pattern 'def dialectic_call($$$)'
ast-grep --pattern 'def dialectic_stream($$$)'
ast-grep --pattern 'def generate_semantic_queries_llm($$$)'

echo "=== Checking Pydantic models ==="
ast-grep --pattern 'class TomInferenceOutput($$$)' 
ast-grep --pattern 'class CurrentState($$$)'
ast-grep --pattern 'class TentativeInference($$$)'

Reviewing files that changed from the base of the PR and between 9d3be12 and 6f13204.

• src/routers/peers.py (10 hunks)
• tests/conftest.py (13 hunks)
• tests/test_agent.py (1 hunks)

• tests/test_agent.py

tests/conftest.py (7)

3-28: LGTM! Comprehensive type annotation improvements.

The import section has been properly updated with modern type annotations, including the use of collections.abc imports and union syntax. The type annotations are consistent and follow Python 3.10+ best practices.

---

187-188: AuthClient class implementation is minimal but functional.

The AuthClient class is a simple subclass of TestClient with an optional auth_type attribute. While pylint flags this for having too few public methods, this is appropriate for a test utility class that only needs to extend the base functionality with one additional attribute.

---

292-374: Excellent refactoring of mocking strategy from ModelClient to Mirascope.

This comprehensive fixture successfully replaces the old mock_model_client with targeted mocking of individual Mirascope functions. Key strengths:

• Proper Pydantic object creation: Creates actual TomInferenceOutput objects with correct structure
• Comprehensive coverage: Mocks all necessary LLM functions from different modules
• Async support: Correctly handles async mocking with AsyncMock
• Return value diversity: Provides appropriate mock responses for different function types

The high number of local variables (16) is justified given the comprehensive nature of this mocking fixture.

---

417-452: Consistent updates to agent API call mocking.

The changes properly align with the migration from class-based to function-based LLM calls:

• Updates dialectic_call and dialectic_stream mocking to use function-level patches
• Maintains consistent mock return value structures
• Properly handles async mocking patterns

This maintains test isolation while supporting the new architecture.

---

162-164: Appropriate use of pyright ignore for test exception handler.

The pyright: ignore comment is correctly used here since the test exception handler intentionally discards the request parameter, which is a common pattern in FastAPI exception handlers during testing.

---

148-153: Proper async fixture typing.

The db_session fixture is correctly typed with AsyncEngine parameter and proper async context management. The fixture scope and cleanup logic are appropriate for test isolation.

---

229-231: Well-typed sample data fixture.

The sample_data fixture has proper async generator typing with AsyncGenerator[tuple[Workspace, Peer], Any], which correctly represents the yielded tuple type and follows pytest async fixture patterns.

src/routers/peers.py (7)

16-16: LGTM: Import supports type annotation improvements.

The explicit import of AsyncSession is correctly added to support the type annotations throughout the file.

---

68-68: LGTM: Explicit type annotation improves clarity.

The explicit AsyncSession typing for the db parameter enhances type safety and consistency across endpoints.

---

105-105: LGTM: Consistent type annotation improvement.

The explicit AsyncSession typing maintains consistency with other endpoints.

---

171-171: LGTM: Type annotation consistency maintained.

The explicit AsyncSession typing is consistent with the pattern across all endpoints.

---

219-219: LGTM: Consistent typing improvement.

The explicit AsyncSession type annotation maintains the pattern established across other endpoints.

---

308-308: LGTM: Type annotation consistency.

The explicit AsyncSession typing is consistent with the improvements across all endpoints.

---

334-334: LGTM: Final type annotation improvement.

The explicit AsyncSession typing completes the consistent pattern across all endpoints in the file.

Reviewing files that changed from the base of the PR and between 6f13204 and 63a32e8.

• src/deriver/tom/long_term.py (4 hunks)
• src/deriver/tom/single_prompt.py (3 hunks)

src/deriver/tom/long_term.py (3)

14-43: Well-structured Pydantic models for LLM responses.

The introduction of strongly-typed Pydantic models (PotentialSurprise, UserRepresentation, InformationPiece, etc.) is excellent for ensuring structured and validated LLM responses. The models follow good practices with appropriate field types and clear naming.

---

45-49: Good migration to declarative LLM calls.

The function successfully uses the new @track decorator and @llm.call pattern with structured response models, which is a significant improvement over the previous imperative approach.

---

54-54: Modern union syntax correctly applied.

The use of list[str] | None follows Python 3.10+ type annotation best practices.

src/deriver/tom/single_prompt.py (5)

14-24: Well-designed enums for type safety.

The introduction of InfoType and CertaintyLevel enums provides excellent type safety and makes the code more maintainable by preventing invalid values.

---

26-107: Comprehensive Pydantic model hierarchy.

The extensive set of Pydantic models creates a well-structured schema for ToM inference and user representation outputs. The models are properly nested and use appropriate field types, providing strong typing for LLM responses.

---

158-163: Clean wrapper function implementation.

The wrapper function provides a clean interface while leveraging the declarative LLM call underneath, returning the structured TomInferenceOutput type.

---

166-172: Consistent use of new decorator pattern.

The user_representation_inference function correctly uses the @track and @with_langfuse decorators with the @llm.call pattern, maintaining consistency across the codebase.

---

241-244: Appropriate JSON serialization for output.

The function correctly returns model_dump_json() to provide serialized output while maintaining the benefits of structured Pydantic validation internally.

Reviewing files that changed from the base of the PR and between 63a32e8 and 9154bc5.

• CLAUDE.md (10 hunks)

Reviewing files that changed from the base of the PR and between 9154bc5 and 41f3199.

• src/agent.py (11 hunks)
• src/crud.py (19 hunks)
• src/deriver/tom/long_term.py (4 hunks)
• src/deriver/tom/single_prompt.py (3 hunks)

• src/crud.py

src/deriver/tom/long_term.py (4)

3-7: Excellent migration to mirascope and modern type annotations.

The imports are clean and properly organized, using the new mirascope library and track decorator as intended by the refactoring.

---

13-42: Well-structured Pydantic models for LLM response parsing.

The models provide strong typing for the LLM responses, with clear hierarchical structure from basic data types (PotentialSurprise) to complex aggregations (FactExtraction). This eliminates the need for manual JSON/XML parsing and improves type safety.

---

44-54: Proper implementation of the new decorative LLM call pattern.

The function correctly uses the new decorator stack (@track, @with_langfuse, @llm.call) and modernized type annotations (list[str] | None). The decorator configuration specifies the appropriate model and provider.

---

106-111: Consistent decorator usage across functions.

Good consistency in applying the same decorator pattern for the fact extraction function, using a different provider/model combination which is appropriate for this specific task.

src/agent.py (6)

6-18: Clean import organization with proper mirascope integration.

The imports are well-organized and include all necessary components for the new mirascope-based approach. The transition from manual client management to declarative LLM calls is properly reflected.

---

35-48: Well-implemented dialectic call function with proper decorators.

The function correctly implements the new declarative pattern with appropriate decorators and returns a well-structured prompt template. The provider and model selection is appropriate for the dialectic functionality.

---

50-63: Consistent streaming implementation.

Good consistency with the non-streaming version, properly adding the stream=True parameter to enable streaming responses while maintaining the same core functionality.

---

65-79: Effective semantic query generation with structured response.

The function properly uses the response_model=list[str] to ensure structured output parsing, eliminating the need for manual JSON parsing in the calling code.

---

290-308: Proper integration with new Pydantic response models.

The code correctly handles the structured response from get_tom_inference_single_prompt, extracting specific fields from the Pydantic model to create a coherent prediction summary. This shows good adaptation to the new schema-driven approach.

---

390-409: Robust response handling with backward compatibility.

The implementation properly handles both new Pydantic response models and provides fallback to XML parsing for backward compatibility. This ensures smooth migration without breaking existing functionality.

src/deriver/tom/single_prompt.py (7)

2-8: Clean imports with proper mirascope integration.

The imports are well-organized and include all necessary components for the new approach. The transition from manual client usage to declarative LLM calls is properly reflected in the import structure.

---

13-57: Comprehensive Pydantic model structure for ToM inference.

The models provide excellent type safety and structure for Theory of Mind inference outputs. The hierarchical design from basic components (CurrentState, TentativeInference) to the complete TomInferenceOutput ensures robust parsing and validation of LLM responses.

---

59-106: Well-designed user representation models with proper categorization.

The models effectively capture the complexity of user representation with appropriate enums (InfoType, CertaintyLevel) and structured nested objects. This provides much better type safety than the previous XML/JSON parsing approach.

---

108-155: Proper implementation of the new LLM call pattern for ToM inference.

The function correctly implements the decorator stack and returns a well-structured prompt. The use of response_model=TomInferenceOutput ensures automatic parsing into the defined Pydantic structure.

---

157-162: Clean wrapper function maintaining backward compatibility.

The wrapper function provides a clean interface while leveraging the new decorated LLM call underneath. This maintains API compatibility while benefiting from the new structured approach.

---

165-233: Comprehensive user representation inference with detailed prompt structure.

The function provides detailed instructions and structured output format that aligns perfectly with the Pydantic models. The prompt is well-designed to guide the LLM in producing the expected structured output.

---

235-243: Effective wrapper function with JSON serialization.

The wrapper function properly calls the new decorated function and returns JSON serialization, maintaining compatibility with existing code that expects JSON output while leveraging the new structured approach.

Reviewing files that changed from the base of the PR and between 6639f9d and 573129f.

• uv.lock is excluded by !**/*.lock

• .github/workflows/staticanalysis.yml (1 hunks)
• .vscode/tasks.json (1 hunks)
• pyproject.toml (4 hunks)
• src/agent.py (10 hunks)
• src/deriver/tom/__init__.py (2 hunks)
• src/deriver/tom/conversational.py (3 hunks)
• src/routers/peers.py (11 hunks)

• .vscode/tasks.json
• .github/workflows/staticanalysis.yml

• src/deriver/tom/conversational.py
• src/deriver/tom/init.py

pyproject.toml (4)

9-9: LGTM: Python version upgrade enables modern type annotations.

The upgrade to Python 3.10 minimum requirement is consistent with the codebase's adoption of native union syntax (|) throughout the project.

---

25-27: LGTM: Dependency consolidation with mirascope.

The replacement of individual LLM provider packages with the unified mirascope package simplifies dependency management while maintaining provider support through extras.

---

38-38: LGTM: Enhanced static analysis with basedpyright.

The addition of basedpyright for improved type checking is a solid improvement over standard mypy.

---

67-98: LGTM: Well-configured basedpyright setup.

The configuration is comprehensive and well-documented, with appropriate strictness levels and sensible exclusions for external libraries that may not have complete type stubs.

src/routers/peers.py (3)

15-16: LGTM: Updated imports for mirascope integration.

The import changes align with the migration from custom streaming to mirascope's Stream abstraction.

---

42-45: LGTM: Modernized type annotations.

The replacement of Optional[T] with T | None syntax is consistent with the Python 3.10+ modernization throughout the codebase.

---

192-196: LGTM: Improved streaming logic with mirascope.

The streaming logic is more robust with explicit type checking and proper error handling for unexpected stream types.

src/agent.py (7)

28-40: LGTM: Clean migration to mirascope decorators.

The new @llm.call decorator approach is much cleaner than the previous class-based implementation, with proper tracking and Langfuse integration.

---

43-55: LGTM: Consistent streaming implementation.

The streaming function follows the same pattern as the non-streaming version, maintaining consistency in the API.

---

58-75: LGTM: Structured response with Pydantic models.

The use of Pydantic models for structured LLM responses is a significant improvement over manual JSON parsing, providing better type safety and validation.

---

85-85: LGTM: Improved return type annotations.

The union type llm.Stream | llm.CallResponse clearly indicates the possible return types based on the streaming parameter.

---

287-301: LGTM: Improved structured response handling.

The new approach using Pydantic model attributes is much more robust than XML parsing, with proper fallback handling for different response formats.

---

324-338: LGTM: Better error handling for LLM calls.

The structured response handling with fallback to the original query on errors is a good defensive programming practice.

---

387-405: LGTM: Backward compatibility with structured responses.

The implementation properly handles both new Pydantic response models and legacy XML parsing, ensuring smooth migration.

Reviewing files that changed from the base of the PR and between 573129f and 9957f14.

• uv.lock is excluded by !**/*.lock

• .github/workflows/staticanalysis.yml (1 hunks)
• .vscode/tasks.json (1 hunks)
• CLAUDE.md (1 hunks)
• docs/contributing/error-handling.mdx (3 hunks)
• migrations/utils.py (5 hunks)
• migrations/versions/20f89a421aff_rename_metamessage_type_to_label.py (1 hunks)
• migrations/versions/556a16564f50_add_user_id_and_app_id_to_tables.py (1 hunks)
• migrations/versions/66e63cf2cf77_add_indexes_to_documents_table.py (2 hunks)
• migrations/versions/a1b2c3d4e5f6_initial_schema.py (2 hunks)
• migrations/versions/b765d82110bd_change_metamessages_to_user_level_with_.py (7 hunks)
• migrations/versions/c3828084f472_add_indexes_for_messages_and_.py (1 hunks)
• migrations/versions/d429de0e5338_adopt_peer_paradigm.py (1 hunks)
• pyproject.toml (4 hunks)
• src/agent.py (10 hunks)
• src/crud.py (19 hunks)
• src/db.py (2 hunks)
• src/dependencies.py (1 hunks)
• src/deriver/consumer.py (4 hunks)
• src/deriver/queue.py (4 hunks)
• src/deriver/tom/__init__.py (2 hunks)
• src/deriver/tom/conversational.py (3 hunks)
• src/deriver/tom/embeddings.py (4 hunks)
• src/deriver/tom/long_term.py (4 hunks)
• src/deriver/tom/single_prompt.py (3 hunks)
• src/exceptions.py (1 hunks)
• src/main.py (7 hunks)
• src/models.py (13 hunks)
• src/routers/messages.py (7 hunks)
• src/routers/peers.py (11 hunks)
• src/routers/sessions.py (15 hunks)
• src/routers/workspaces.py (5 hunks)
• src/schemas.py (7 hunks)
• src/security.py (5 hunks)
• src/utils/cache.py (0 hunks)
• src/utils/history.py (6 hunks)
• src/utils/model_client.py (0 hunks)
• src/utils/types.py (1 hunks)
• tests/conftest.py (14 hunks)
• tests/integration/test_enqueue.py (16 hunks)
• tests/routes/test_keys.py (3 hunks)
• tests/routes/test_messages.py (22 hunks)
• tests/routes/test_peers.py (26 hunks)
• tests/routes/test_scoped_api.py (11 hunks)
• tests/routes/test_sessions.py (29 hunks)
• tests/routes/test_validation_api.py (7 hunks)
• tests/routes/test_workspaces.py (16 hunks)
• tests/test_agent.py (1 hunks)
• tests/test_schema_validations.py (1 hunks)
• tests/utils/test_model_client.py (0 hunks)

• src/utils/cache.py
• tests/utils/test_model_client.py
• src/utils/model_client.py

• .vscode/tasks.json
• migrations/versions/66e63cf2cf77_add_indexes_to_documents_table.py
• CLAUDE.md
• src/dependencies.py
• .github/workflows/staticanalysis.yml
• src/utils/types.py
• tests/test_schema_validations.py
• migrations/versions/20f89a421aff_rename_metamessage_type_to_label.py
• tests/routes/test_keys.py
• src/deriver/tom/embeddings.py
• migrations/versions/556a16564f50_add_user_id_and_app_id_to_tables.py
• migrations/versions/c3828084f472_add_indexes_for_messages_and_.py
• src/deriver/queue.py
• src/deriver/consumer.py
• docs/contributing/error-handling.mdx
• tests/routes/test_messages.py
• src/exceptions.py
• src/deriver/tom/init.py
• migrations/versions/d429de0e5338_adopt_peer_paradigm.py
• migrations/utils.py
• tests/test_agent.py
• tests/routes/test_validation_api.py
• tests/routes/test_workspaces.py
• tests/routes/test_scoped_api.py
• pyproject.toml
• tests/integration/test_enqueue.py
• tests/routes/test_sessions.py
• tests/routes/test_peers.py
• src/crud.py

migrations/versions/a1b2c3d4e5f6_initial_schema.py (1)

22-24: 👍 PEP 604 union syntax looks good.

The switch to the | syntax is correct and removes the need for typing.Union.

migrations/versions/b765d82110bd_change_metamessages_to_user_level_with_.py (1)

22-24: Type-hint modernisation looks good here as well.

The PEP 604 unions make the metadata cleaner and future-proof.

src/db.py (1)

15-17: LGTM! Good modernization of type annotations.

The change from Optional[str] to str | None follows modern Python typing practices and improves readability.

src/deriver/tom/conversational.py (2)

10-10: LGTM! Good refactoring to centralized tracking.

The import of track from src.utils.types aligns with the broader refactoring to centralize tracking functionality across the codebase.

---

23-23: LGTM! Consistent decorator migration.

The change from @ai_track to @track is consistent with the broader refactoring effort to standardize telemetry tracking across the project.

Also applies to: 91-91

src/routers/workspaces.py (2)

6-6: LGTM! Excellent type annotation improvements.

The explicit typing of db parameters as AsyncSession and the import addition provide better type safety and IDE support.

Also applies to: 27-27, 59-59, 84-84, 102-102

---

56-58: LGTM! Good modernization of type annotations.

The change from Optional[...] to union syntax (| None) follows modern Python typing practices. The static analysis warning about Body() in defaults can be ignored as this is standard FastAPI pattern for dependency injection.

src/schemas.py (4)

1-1: Good practice for managing type checker warnings.

The pyright directive helps suppress false positive warnings about unannotated class attributes in Pydantic models.

---

3-3: LGTM! Modernized typing imports.

Removing Optional in favor of union syntax and adding Any for explicit type annotations is good practice.

---

19-19: Excellent type annotation improvements.

The changes from generic dict to dict[str, Any] provide much better type safety and clarity about the expected structure of these metadata and configuration fields.

Also applies to: 36-39, 56-57, 75-78, 109-109, 125-127, 163-163, 184-187, 211-211

---

22-22: Good practice adding pyright ignore comments.

These comments appropriately suppress type checker warnings for Pydantic's ConfigDict usage while maintaining the necessary configuration.

Also applies to: 42-44, 59-59, 80-82, 132-134, 167-167, 190-192, 200-202

src/routers/sessions.py (4)

6-6: LGTM! Comprehensive type annotation improvements.

The explicit typing of db parameters as AsyncSession provides better type safety and consistency across all route handlers.

Also applies to: 36-36, 83-83, 120-120, 143-143, 167-167, 201-201, 233-233, 269-269, 303-303, 325-325, 357-357, 388-388, 464-464

---

80-82: LGTM! Good modernization of type annotations.

The change from Optional[...] to union syntax (| None) follows modern Python typing practices. The static analysis warning about Body() in defaults can be ignored as this is standard FastAPI pattern.

Also applies to: 168-170, 380-383

---

208-217: Excellent code cleanup.

Removing the redundant local variable assignments and using the original parameters directly makes the code more concise and readable while maintaining the same functionality.

Also applies to: 239-253, 276-289

---

448-448: Appropriate use of pyright ignore comment.

The pyright ignore comment is correctly placed to handle specific type checking issues with the messages field assignment.

src/security.py (3)

62-66: LGTM! Modern type annotations.

The migration from Optional[...] to ... | None syntax is a good modernization that improves readability and follows current Python typing best practices.

---

81-83: LGTM! Improved formatting.

The reformatted jwt.encode call improves readability by breaking the arguments across multiple lines.

---

120-123: LGTM! Consistent type annotation modernization.

The function parameters have been consistently updated to use the modern union syntax (str | None instead of Optional[str]), which is excellent for maintainability and consistency.

Also applies to: 164-167

src/routers/messages.py (3)

3-3: LGTM! Necessary imports for type annotations.

The addition of Any from typing and AsyncSession from SQLAlchemy supports the improved type annotations throughout the file.

Also applies to: 8-8

---

29-33: LGTM! Modernized dictionary and union type annotations.

The updates to use dict[str, Any] and str | None syntax represent good modernization of type hints, improving clarity and following current Python typing best practices.

Also applies to: 57-57

---

272-272: LGTM! Explicit database session typing.

Adding explicit AsyncSession type annotations for the db parameters improves type safety and makes the dependency injection pattern clearer throughout the API endpoints.

Also applies to: 320-320, 348-348, 368-368

src/main.py (5)

15-16: LGTM! Proper conditional imports for type checking.

Using TYPE_CHECKING block for Sentry types that are only needed for type annotations is a good practice that avoids runtime import overhead.

---

33-33: LGTM! Clear function signature with type annotations.

Adding explicit type annotations for parameters and return type improves the function's clarity and type safety.

---

72-72: LGTM! Proper type annotations and variable naming.

The Sentry callback function now has precise type hints and correctly ignores the unused exception type variable using the underscore convention.

Also applies to: 74-74

---

104-104: LGTM! Following unused parameter naming convention.

Renaming unused parameters to use underscores (_, _request) clearly indicates they are intentionally unused, following Python conventions.

Also applies to: 158-158, 168-168

---

180-182: LGTM! Explicit middleware type annotations.

Adding precise type annotations for the middleware function parameters, especially the call_next callable type, improves type safety and documentation.

src/utils/history.py (4)

6-7: LGTM! Proper mirascope imports for LLM integration.

The imports support the migration from custom ModelClient to the mirascope framework, enabling declarative LLM calls with proper tracking.

---

62-98: Excellent migration to declarative LLM calls.

The new mirascope-based functions represent a significant architectural improvement:

• Declarative approach with @llm.call decorators
• Proper model configuration (gemini-2.0-flash-lite) with token limits
• Langfuse integration for tracking
• Clean separation between short and long summary generation
• Well-structured prompts with clear instructions

This replaces the imperative ModelClient approach with a more maintainable and structured solution.

Also applies to: 100-134

---

142-142: LGTM! Consistent type annotation modernization.

The migration from Optional[...] to ... | None syntax throughout the file maintains consistency with the broader codebase typing improvements.

Also applies to: 169-169, 177-179, 211-211, 286-286, 329-329, 383-383

---

194-202: LGTM! Streamlined summary creation logic.

The refactored create_summary function properly integrates with the new mirascope-based functions, maintaining the same interface while leveraging the improved LLM integration architecture.

src/models.py (6)

99-99: LGTM! Proper use of @Final decorators for ORM models.

Adding @final decorators to all ORM model classes is an excellent practice that:

• Prevents unintended inheritance of database models
• Improves type safety by making inheritance explicit
• Follows best practices for SQLAlchemy ORM models

Also applies to: 121-121, 156-156, 190-190, 255-255, 292-292, 339-339, 352-352, 378-378

---

101-101: LGTM! Explicit tablename typing.

Adding type annotations for __tablename__ attributes improves static analysis and makes the table naming explicit and type-safe.

Also applies to: 123-123, 158-158, 192-192, 257-257, 294-294, 341-341, 354-354

---

108-112: LGTM! Comprehensive dictionary type annotations.

The migration to dict[str, Any] for configuration and metadata fields provides:

• Better type safety than untyped dictionaries
• Clear indication of expected key-value types
• Consistency across all model definitions

Also applies to: 126-129, 136-136, 162-165, 173-173, 201-204, 264-267, 296-298, 348-348, 386-389

---

300-300: LGTM! Proper vector column typing.

Using MappedColumn[Any] for the embedding vector column appropriately handles the complex pgvector type while maintaining type safety.

---

244-244: LGTM! Proper decorator usage and type annotations.

The @override decorator on __repr__ and type annotations on the event listener function improve code clarity and follow typing best practices.

Also applies to: 250-250

---

380-389: LGTM! Comprehensive SessionPeer model typing.

The detailed type annotations for all columns in the SessionPeer class provide excellent type safety for the association table mapping, making the model's structure explicit and type-safe.

src/deriver/tom/long_term.py (4)

3-7: Excellent refactoring to modern LLM framework.

The migration from manual model client usage to the mirascope framework with structured Pydantic models is well-executed. The imports are clean and properly organized.

---

13-42: Well-structured Pydantic models for type safety.

The Pydantic models provide excellent type safety and structure for the LLM responses. The PotentialSurprise model with confidence levels and the nested structure in FactExtraction are particularly well-designed.

---

44-103: Excellent implementation of declarative LLM calls.

The function properly uses the new decorator pattern with @track, @with_langfuse(), and @llm.call. The prompt template is well-structured and the return type matches the response model.

---

106-152: Clean migration to structured LLM calls.

The function follows the same excellent pattern as get_user_representation_long_term. The prompt is clear and the structured output will improve parsing reliability.

src/deriver/tom/single_prompt.py (4)

2-8: Great addition of imports for the new architecture.

The imports are well-organized and include all necessary components for the mirascope-based implementation.

---

13-106: Excellent comprehensive Pydantic model design.

The extensive model hierarchy with strongly-typed enums (InfoType, CertaintyLevel) and detailed nested structures provides exceptional type safety. The separation of concerns between ToM inference models and user representation models is well-architected.

---

108-154: Well-implemented LLM call with structured output.

The tom_inference function properly uses the decorator pattern and provides a clear, structured prompt template that matches the expected Pydantic response model.

---

165-233: Excellent user representation inference implementation.

The function provides comprehensive guidance for the LLM with clear output format specifications that align perfectly with the Pydantic models.

src/routers/peers.py (3)

15-16: Good modernization of imports.

The replacement of AsyncMessageStreamManager with Stream from mirascope.llm and explicit AsyncSession import align well with the framework migration.

---

42-45: Excellent type annotation modernization.

The use of modern union syntax (T | None) and explicit AsyncSession typing improves code clarity and type safety throughout the endpoints.

Also applies to: 124-127, 267-273

---

192-196: Verify Stream type handling.

The streaming logic correctly checks for Stream type and handles chunk iteration. The error handling for invalid stream types is appropriate.

src/agent.py (3)

32-59: Excellent LLM function implementations.

The dialectic_call and dialectic_stream functions properly use the new decorator pattern with clean prompt templates.

---

62-79: Well-structured semantic query generation.

The SemanticQueries Pydantic model and generate_semantic_queries_llm function follow the new pattern correctly.

---

304-313: Good adaptation to structured Pydantic responses.

The code properly handles the new Pydantic model structure, extracting attributes directly instead of parsing XML. The fallback logic maintains backward compatibility.

tests/conftest.py (3)

2-37: Excellent type annotation improvements.

The comprehensive addition of type hints throughout the imports and class definitions significantly improves code clarity and IDE support.

---

302-384: Excellent migration to mirascope function mocking.

The replacement of mock_model_client with mock_mirascope_functions properly aligns with the framework migration. The comprehensive mocking of individual LLM functions with appropriate return values is well-designed.

---

30-37: Let’s verify how src/config.py is defining settings and inspect pyproject.toml for any pydantic-settings entries:

#!/bin/bash
set -e

echo "=== Looking for BaseSettings usage in config.py ==="
grep -R "BaseSettings" -n src/config.py || echo "No BaseSettings reference found"

echo
echo "=== Full content of src/config.py (first 200 lines) ==="
sed -n '1,200p' src/config.py

echo
echo "=== Checking for pydantic-settings in pyproject.toml ==="
grep -R "pydantic-settings" -n pyproject.toml || echo "No pydantic-settings entry"

echo "=== Checking for pydantic_settings in pyproject.toml ==="
grep -R "pydantic_settings" -n pyproject.toml || echo "No pydantic_settings entry"

echo
echo "=== Dependencies section from pyproject.toml ==="
awk '/\[tool.poetry.dependencies\]/,/\[tool.poetry.dev-dependencies\]/' pyproject.toml

Reviewing files that changed from the base of the PR and between 9957f14 and 0a3b5ae.

• uv.lock is excluded by !**/*.lock

• migrations/utils.py (5 hunks)
• migrations/versions/66e63cf2cf77_add_indexes_to_documents_table.py (1 hunks)
• migrations/versions/a1b2c3d4e5f6_initial_schema.py (2 hunks)
• migrations/versions/b765d82110bd_change_metamessages_to_user_level_with_.py (7 hunks)
• migrations/versions/c3828084f472_add_indexes_for_messages_and_.py (1 hunks)
• pyproject.toml (4 hunks)
• src/agent.py (10 hunks)
• src/config.py (7 hunks)
• src/crud.py (19 hunks)
• src/db.py (2 hunks)
• src/deriver/queue.py (4 hunks)
• src/deriver/tom/__init__.py (2 hunks)
• src/deriver/tom/conversational.py (1 hunks)
• src/deriver/tom/long_term.py (4 hunks)
• src/deriver/tom/single_prompt.py (3 hunks)
• src/main.py (6 hunks)
• src/schemas.py (6 hunks)
• src/security.py (6 hunks)
• tests/conftest.py (14 hunks)
• tests/test_agent.py (1 hunks)

• migrations/versions/c3828084f472_add_indexes_for_messages_and_.py
• migrations/versions/a1b2c3d4e5f6_initial_schema.py

• src/db.py
• migrations/versions/66e63cf2cf77_add_indexes_to_documents_table.py
• src/deriver/queue.py
• tests/test_agent.py
• migrations/versions/b765d82110bd_change_metamessages_to_user_level_with_.py
• src/deriver/tom/init.py
• migrations/utils.py
• src/security.py