# Implementation Plan: DeepSeek API Provider Support

## Phase 1: Infrastructure & Common Logic
- [ ] Task: Initialize MMA Environment `activate_skill mma-orchestrator`
- [ ] Task: Update `credentials.toml` schema and configuration logic in `project_manager.py` to support `deepseek`
- [ ] Task: Define the `DeepSeekProvider` interface in `ai_client.py` and align with existing provider patterns
- [ ] Task: Conductor - User Manual Verification 'Infrastructure & Common Logic' (Protocol in workflow.md)

## Phase 2: DeepSeek API Client Implementation
- [ ] Task: Write failing tests for `DeepSeekProvider` model selection and basic completion
- [ ] Task: Implement `DeepSeekProvider` using the dedicated SDK
- [ ] Task: Write failing tests for streaming and tool calling parity in `DeepSeekProvider`
- [ ] Task: Implement streaming and tool calling logic for DeepSeek models
- [ ] Task: Conductor - User Manual Verification 'DeepSeek API Client Implementation' (Protocol in workflow.md)

## Phase 3: Reasoning Traces & Advanced Capabilities
- [ ] Task: Write failing tests for reasoning trace capture in `DeepSeekProvider` (DeepSeek-R1)
- [ ] Task: Implement reasoning trace processing and integration with discussion history
- [ ] Task: Write failing tests for token estimation and cost tracking for DeepSeek models
- [ ] Task: Implement token usage tracking according to DeepSeek pricing
- [ ] Task: Conductor - User Manual Verification 'Reasoning Traces & Advanced Capabilities' (Protocol in workflow.md)

## Phase 4: GUI Integration & Final Verification
- [ ] Task: Update `gui_2.py` and `theme_2.py` (if necessary) to include DeepSeek in the provider selection UI
- [ ] Task: Implement automated regression tests for the full DeepSeek lifecycle (prompt, streaming, tool call, reasoning)
- [ ] Task: Verify overall performance and UI responsiveness with the new provider
- [ ] Task: Conductor - User Manual Verification 'GUI Integration & Final Verification' (Protocol in workflow.md)