fix(mypy): Fix type errors across multiple files

[shin-bot-litellm]

Summary

Fixes mypy type errors in 6 files that were causing CI failures in the mypy_linting job.

Changes

• litellm/llms/vertex_ai/gemini/transformation.py: Fix TypedDict subscript assignment by using a dict alias with type: ignore
• litellm/proxy/_experimental/mcp_server/server.py: Convert ASGI scope to dict for type compatibility with MCPDebug helper
• litellm/proxy/pass_through_endpoints/pass_through_endpoints.py: Add explicit Optional[dict] type annotation for final_custom_body to satisfy mypy
• litellm/proxy/vector_store_endpoints/endpoints.py: Add Any type annotation for dynamic proxy hook return value
• litellm/responses/litellm_completion_transformation/transformation.py: Use dict(Reasoning()) for serialization and setattr for dynamic attribute assignment
• litellm/types/proxy/guardrails/guardrail_hooks/zscaler_ai_guard.py: Add assert for api_base nullability after env var default

Testing

All changes are type annotation fixes only — no runtime behavior changes.

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Project	Deployment	Actions	Updated (UTC)
litellm	Error		Feb 14, 2026 2:18am

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[greptile-apps]

Greptile Overview

Greptile Summary

Fixes mypy type errors across 6 files to unblock the mypy_linting CI job. The changes are purely type-annotation fixes with no intended runtime behavior changes. Most fixes are clean and appropriate — notably the pass_through_endpoints.py refactor which simplifies logic while preserving identical behavior, and the mcp_server/server.py dict(scope) conversion which correctly matches the expected Dict parameter type.

• litellm/llms/vertex_ai/gemini/transformation.py: Aliases TypedDict to plain dict with type: ignore for arbitrary key subscript assignment
• litellm/proxy/_experimental/mcp_server/server.py: Converts ASGI scope to dict for type compatibility
• litellm/proxy/pass_through_endpoints/pass_through_endpoints.py: Simplifies final_custom_body logic with explicit Optional[dict] annotation (behavior preserved)
• litellm/proxy/vector_store_endpoints/endpoints.py: Uses Any to suppress mypy on get_proxy_hook return — erases downstream type checking
• litellm/responses/litellm_completion_transformation/transformation.py: Uses dict(Reasoning()) and setattr for mypy compatibility with Pydantic extra="allow" model
• litellm/types/proxy/guardrails/guardrail_hooks/zscaler_ai_guard.py: Adds assert for nullability narrowing — correct but fragile under python -O

Confidence Score: 4/5

• This PR is safe to merge — all changes are type annotation fixes with no runtime behavior changes.
• Score of 4 reflects that all changes are type-only fixes that don't alter runtime behavior, and most are clean and appropriate. Minor deductions for the Any annotation in vector_store_endpoints.py which erases type safety, and the assert in zscaler_ai_guard.py which can be stripped in optimized mode — neither are blocking issues but could be improved.
• litellm/proxy/vector_store_endpoints/endpoints.py uses Any which erases type safety for downstream method calls. litellm/types/proxy/guardrails/guardrail_hooks/zscaler_ai_guard.py uses assert for runtime narrowing which can be stripped by python -O.

Important Files Changed

Filename	Overview
litellm/llms/vertex_ai/gemini/transformation.py	Aliases TypedDict to plain dict with type: ignore to allow arbitrary key assignment in _pop_and_merge_extra_body. Correct workaround for TypedDict subscript limitations.
litellm/proxy/_experimental/mcp_server/server.py	Converts ASGI scope to dict(scope) to match MCPDebug.maybe_build_debug_headers expected Dict parameter type. Correct and safe conversion.
litellm/proxy/pass_through_endpoints/pass_through_endpoints.py	Simplifies final_custom_body logic with explicit Optional[dict] annotation and cleaner elif. Behavior is equivalent to the original code.
litellm/proxy/vector_store_endpoints/endpoints.py	Uses Any annotation to suppress mypy error on get_proxy_hook return. Works but erases type safety for subsequent method calls on the returned object.
litellm/responses/litellm_completion_transformation/transformation.py	Uses dict(Reasoning()) for TypedDict serialization and setattr for dynamic attribute assignment on Pydantic model with extra="allow". Both approaches are functionally correct.
litellm/types/proxy/guardrails/guardrail_hooks/zscaler_ai_guard.py	Adds assert api_base is not None for mypy narrowing. Logically correct given the os.getenv default, but assert can be stripped in optimized mode.

Flowchart

flowchart TD
    A[mypy type checker] --> B{Type errors in 6 files}
    B --> C[vertex_ai/transformation.py]
    B --> D[mcp_server/server.py]
    B --> E[pass_through_endpoints.py]
    B --> F[vector_store_endpoints.py]
    B --> G[litellm_completion_transformation.py]
    B --> H[zscaler_ai_guard.py]
    
    C --> C1["TypedDict subscript fix\n(dict alias + type: ignore)"]
    D --> D1["ASGI scope type fix\n(dict conversion)"]
    E --> E1["Optional[dict] annotation\n(simplified logic)"]
    F --> F1["Any annotation\n(erases type safety ⚠️)"]
    G --> G1["dict(Reasoning()) +\nsetattr for dynamic attr"]
    H --> H1["assert not None\n(fragile under -O ⚠️)"]
    
    C1 --> I[mypy passes ✓]
    D1 --> I
    E1 --> I
    F1 --> I
    G1 --> I
    H1 --> I

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_{Last reviewed commit: 29a3345}

[greptile-apps]

_{6 files reviewed, 2 comments}

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[greptile-apps]

assert can be stripped in optimized mode

Using assert for runtime type narrowing is fragile because Python's -O flag strips all assert statements. While the logic guarantees api_base is non-None here (due to the os.getenv default), a safer approach for mypy narrowing would be an if guard or a cast:

Suggested change

	assert api_base is not None # always set via env default above
	if api_base is None: # always set via env default above; narrow for mypy
	api_base = "https://api.us1.zseclipse.net/v1/detection/execute-policy"

[greptile-apps]

Any annotation erases type safety

get_proxy_hook() returns Optional[CustomLogger] — a well-typed return value. Annotating the result as Any silences mypy but removes all type checking for subsequent usage of managed_vector_stores (e.g., the acreate_vector_store call on line 247 won't be checked). Consider using cast() or a protocol/interface that describes the expected methods instead:

Suggested change

	managed_vector_stores: Any = proxy_logging_obj.get_proxy_hook("managed_vector_stores")
	managed_vector_stores = proxy_logging_obj.get_proxy_hook("managed_vector_stores")

If the issue is that CustomLogger doesn't declare acreate_vector_store, the proper fix is to add that method to the CustomLogger base class or create a Protocol that describes the expected interface, then use cast() to narrow the type.