chore(conductor): Add new track 'Review project codebase for API vendor alignment'

conductor/tracks/api_vendor_alignment_20260223/index.md

@@ -0,0 +1,5 @@
+# Track api_vendor_alignment_20260223 Context
+
+- [Specification](./spec.md)
+- [Implementation Plan](./plan.md)
+- [Metadata](./metadata.json)

conductor/tracks/api_vendor_alignment_20260223/metadata.json

@@ -0,0 +1,8 @@
+{
+  "track_id": "api_vendor_alignment_20260223",
+  "type": "chore",
+  "status": "new",
+  "created_at": "2026-02-23T12:00:00Z",
+  "updated_at": "2026-02-23T12:00:00Z",
+  "description": "Review project codebase, documentation related to project, and make sure agenti vendor apis are being used as properly stated by offical documentation from google for gemini and anthropic for claude."
+}

conductor/tracks/api_vendor_alignment_20260223/plan.md

@@ -0,0 +1,56 @@
+# Implementation Plan: API Usage Audit and Alignment
+
+## Phase 1: Research and Comprehensive Audit
+Identify all points of interaction with AI SDKs and compare them with latest official documentation.
+
+- [ ] Task: List and categorize all AI SDK usage in the project.
+    - [ ] Search for all imports of `google.genai` and `anthropic`.
+    - [ ] Document specific functions and methods being called.
+- [ ] Task: Research latest official documentation for `google-genai` and `anthropic` Python SDKs.
+    - [ ] Verify latest patterns for Client initialization.
+    - [ ] Verify latest patterns for Context/Prompt caching.
+    - [ ] Verify latest patterns for Tool/Function calling.
+- [ ] Task: Conductor - User Manual Verification 'Phase 1: Research and Comprehensive Audit' (Protocol in workflow.md)
+
+## Phase 2: Gemini (google-genai) Alignment
+Align Gemini integration with documented best practices.
+
+- [ ] Task: Refactor Gemini Client and Chat initialization if needed.
+    - [ ] Write Tests
+    - [ ] Implement Feature
+- [ ] Task: Optimize Gemini Context Caching.
+    - [ ] Write Tests
+    - [ ] Implement Feature
+- [ ] Task: Align Gemini Tool Declaration and handling.
+    - [ ] Write Tests
+    - [ ] Implement Feature
+- [ ] Task: Conductor - User Manual Verification 'Phase 2: Gemini (google-genai) Alignment' (Protocol in workflow.md)
+
+## Phase 3: Anthropic Alignment
+Align Anthropic integration with documented best practices.
+
+- [ ] Task: Refactor Anthropic Client and Message creation if needed.
+    - [ ] Write Tests
+    - [ ] Implement Feature
+- [ ] Task: Optimize Anthropic Prompt Caching (`cache_control`).
+    - [ ] Write Tests
+    - [ ] Implement Feature
+- [ ] Task: Align Anthropic Tool Declaration and handling.
+    - [ ] Write Tests
+    - [ ] Implement Feature
+- [ ] Task: Conductor - User Manual Verification 'Phase 3: Anthropic Alignment' (Protocol in workflow.md)
+
+## Phase 4: History and Token Management
+Ensure accurate token estimation and robust history handling.
+
+- [ ] Task: Review and align token estimation logic for both providers.
+    - [ ] Write Tests
+    - [ ] Implement Feature
+- [ ] Task: Audit message history truncation and context window management.
+    - [ ] Write Tests
+    - [ ] Implement Feature
+- [ ] Task: Conductor - User Manual Verification 'Phase 4: History and Token Management' (Protocol in workflow.md)
+
+## Phase 5: Final Validation and Cleanup
+- [ ] Task: Perform a full test run using `run_tests.py` to ensure 100% pass rate.
+- [ ] Task: Conductor - User Manual Verification 'Phase 5: Final Validation and Cleanup' (Protocol in workflow.md)

conductor/tracks/api_vendor_alignment_20260223/spec.md

@@ -0,0 +1,29 @@
+# Specification: API Usage Audit and Alignment
+
+## Overview
+This track involves a comprehensive audit of the "Manual Slop" codebase to ensure that the integration with Google Gemini (`google-genai`) and Anthropic Claude (`anthropic`) SDKs aligns perfectly with their latest official documentation and best practices. The goal is to identify discrepancies, performance bottlenecks, or deprecated patterns and implement the necessary fixes.
+
+## Scope
+- **Target:** Full codebase audit, with primary focus on `ai_client.py`, `mcp_client.py`, and any other modules interacting with AI SDKs.
+- **Key Areas:**
+    - **Caching Mechanisms:** Verify Gemini context caching and Anthropic prompt caching implementation.
+    - **Tool Calling:** Audit function declarations, parameter schemas, and result handling.
+    - **History & Tokens:** Review message history management, token estimation accuracy, and context window handling.
+
+## Functional Requirements
+1. **SDK Audit:** Compare existing code patterns against the latest official Python SDK documentation for Gemini and Anthropic.
+2. **Feature Validation:**
+    - Ensure `google-genai` usage follows the latest `Client` and `types` patterns.
+    - Ensure `anthropic` usage utilizes `cache_control` correctly for optimal performance.
+3. **Discrepancy Remediation:** Implement code changes to align the implementation with documented standards.
+4. **Validation:** Execute tests to ensure that API interactions remain functional and improved.
+
+## Acceptance Criteria
+- Full audit completed for all AI SDK interactions.
+- Identified discrepancies are documented and fixed.
+- Caching, tool calling, and history management logic are verified against latest SDK standards.
+- All existing and new tests pass successfully.
+
+## Out of Scope
+- Adding support for new AI providers not already in the project.
+- Major UI refactoring unless directly required by API changes.