chore(conductor): Add new track 'DeepSeek API Support'

conductor/tracks/deepseek_support_20260225/spec.md

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+# Specification: DeepSeek API Provider Support
+
+## Overview
+Implement a new AI provider module to support the DeepSeek API within the Manual Slop application. This integration will leverage a dedicated SDK to provide access to high-performance models (DeepSeek-V3 and DeepSeek-R1) with support for streaming, tool calling, and detailed reasoning traces.
+
+## Functional Requirements
+- **Dedicated SDK Integration:** Utilize a DeepSeek-specific Python client for API interactions.
+- **Model Support:** Initial support for `deepseek-v3` (general performance) and `deepseek-r1` (reasoning).
+- **Core Features:**
+    - **Streaming:** Support real-time response generation for a better user experience.
+    - **Tool Calling:** Integrate with Manual Slop's existing tool/function execution framework.
+    - **Reasoning Traces:** Capture and display reasoning paths if provided by the model (e.g., DeepSeek-R1).
+- **Configuration Management:**
+    - Add `[deepseek]` section to `credentials.toml` for `api_key`.
+    - Update `config.toml` to allow selecting DeepSeek as the active provider.
+
+## Non-Functional Requirements
+- **Parity:** Maintain consistency with existing Gemini and Anthropic provider implementations in `ai_client.py`.
+- **Error Handling:** Robust handling of API rate limits and connection issues specific to DeepSeek.
+- **Observability:** Track token usage and costs according to DeepSeek's pricing model.
+
+## Acceptance Criteria
+- [ ] User can select "DeepSeek" as a provider in the GUI.
+- [ ] Successful completion of prompts using both DeepSeek-V3 and DeepSeek-R1 models.
+- [ ] Tool calling works correctly for standard operations (e.g., `read_file`).
+- [ ] Reasoning traces from R1 are captured and visible in the discussion history.
+- [ ] Streaming responses function correctly without blocking the GUI.
+
+## Out of Scope
+- Support for OpenAI-compatible proxies for DeepSeek in this initial track.
+- Automated fine-tuning or custom model endpoints.