docs(conductor): Synchronize docs for track 'deepseek_support_20260225' (Phase 1)

ai_client.py

@@ -65,6 +65,11 @@ _GEMINI_CACHE_TTL = 3600
 _anthropic_client = None
 _anthropic_history: list[dict] = []
 _anthropic_history_lock = threading.Lock()
+
+_deepseek_client = None
+_deepseek_history: list[dict] = []
+_deepseek_history_lock = threading.Lock()
+
 _send_lock = threading.Lock()
 
 _gemini_cli_adapter = None
@@ -159,10 +164,10 @@ def _load_credentials() -> dict:
             f"Create a credentials.toml with:\n"
             f"  [gemini]\n  api_key = \"your-key\"\n"
             f"  [anthropic]\n  api_key = \"your-key\"\n"
+            f"  [deepseek]\n  api_key = \"your-key\"\n"
             f"Or set SLOP_CREDENTIALS env var to a custom path."
         )
 
-
 # ------------------------------------------------------------------ provider errors
 
 class ProviderError(Exception):
@@ -241,6 +246,21 @@ def _classify_gemini_error(exc: Exception) -> ProviderError:
     return ProviderError("unknown", "gemini", exc)
 
 
+def _classify_deepseek_error(exc: Exception) -> ProviderError:
+    body = str(exc).lower()
+    if "429" in body or "rate" in body:
+        return ProviderError("rate_limit", "deepseek", exc)
+    if "401" in body or "403" in body or "auth" in body or "api key" in body:
+        return ProviderError("auth", "deepseek", exc)
+    if "402" in body or "balance" in body or "billing" in body:
+        return ProviderError("balance", "deepseek", exc)
+    if "quota" in body or "limit exceeded" in body:
+        return ProviderError("quota", "deepseek", exc)
+    if "connection" in body or "timeout" in body or "network" in body:
+        return ProviderError("network", "deepseek", exc)
+    return ProviderError("unknown", "deepseek", exc)
+
+
 # ------------------------------------------------------------------ provider setup
 
 def set_provider(provider: str, model: str):
@@ -280,6 +300,11 @@ def reset_session():
     _anthropic_client = None
     with _anthropic_history_lock:
         _anthropic_history = []
+
+    _deepseek_client = None
+    with _deepseek_history_lock:
+        _deepseek_history = []
+
     _CACHED_ANTHROPIC_TOOLS = None
     file_cache.reset_client()
 
@@ -308,6 +333,8 @@ def list_models(provider: str) -> list[str]:
         return _list_gemini_models(creds["gemini"]["api_key"])
     elif provider == "anthropic":
         return _list_anthropic_models()
+    elif provider == "deepseek":
+        return _list_deepseek_models(creds["deepseek"]["api_key"])
     return []
 
 
@@ -340,6 +367,14 @@ def _list_anthropic_models() -> list[str]:
         raise _classify_anthropic_error(exc) from exc
 
 
+def _list_deepseek_models(api_key: str) -> list[str]:
+    """
+    List available DeepSeek models.
+    """
+    # For now, return the models specified in the requirements
+    return ["deepseek-chat", "deepseek-reasoner", "deepseek-v3", "deepseek-r1"]
+
+
 # ------------------------------------------------------------------ tool definition
 
 TOOL_NAME = "run_powershell"
@@ -1385,6 +1420,41 @@ def _send_anthropic(md_content: str, user_message: str, base_dir: str, file_item
         raise _classify_anthropic_error(exc) from exc
 
 
+# ------------------------------------------------------------------ deepseek
+
+def _ensure_deepseek_client():
+    global _deepseek_client
+    if _deepseek_client is None:
+        creds = _load_credentials()
+        # Placeholder for Dedicated DeepSeek SDK instantiation
+        # import deepseek
+        # _deepseek_client = deepseek.DeepSeek(api_key=creds["deepseek"]["api_key"])
+        pass
+
+
+def _send_deepseek(md_content: str, user_message: str, base_dir: str,
+                   file_items: list[dict] | None = None,
+                   discussion_history: str = "") -> str:
+    """
+    Placeholder implementation for DeepSeek provider.
+    Aligns with Gemini/Anthropic patterns for history and tool calling.
+    """
+    try:
+        _ensure_deepseek_client()
+        mcp_client.configure(file_items or [], [base_dir])
+
+        # TODO: Implement full DeepSeek logic in Phase 2
+        # 1. Build system prompt with context
+        # 2. Manage _deepseek_history
+        # 3. Handle reasoning traces for R1
+        # 4. Handle tool calling loop
+
+        raise ValueError("DeepSeek provider is currently in the infrastructure phase and not yet fully implemented.")
+
+    except Exception as e:
+        raise _classify_deepseek_error(e) from e
+
+
 # ------------------------------------------------------------------ unified send
 
 def send(
@@ -1413,6 +1483,8 @@ def send(
             return _send_gemini_cli(md_content, user_message, base_dir, file_items, discussion_history)
         elif _provider == "anthropic":
             return _send_anthropic(md_content, user_message, base_dir, file_items, discussion_history)
+        elif _provider == "deepseek":
+            return _send_deepseek(md_content, user_message, base_dir, file_items, discussion_history)
         raise ValueError(f"unknown provider: {_provider}")
 
 def get_history_bleed_stats(md_content: str | None = None) -> dict:
@@ -1524,6 +1596,14 @@ def get_history_bleed_stats(md_content: str | None = None) -> dict:
             "current": current_tokens,
             "percentage": percentage,
         }
+    elif _provider == "deepseek":
+        # Placeholder for DeepSeek token estimation
+        return {
+            "provider": "deepseek",
+            "limit": 64000, # Common limit for deepseek
+            "current": 0,
+            "percentage": 0,
+        }
 
     # Default empty state
     return {

conductor/product.md

@@ -9,12 +9,12 @@ To serve as an expert-level utility for personal developer use on small projects
 - **Manual "Vibe Coding" Assistant:** Serving as an auxiliary, multi-provider assistant that natively interacts with the codebase via sandboxed PowerShell scripts and MCP-like file tools, emphasizing manual developer oversight and explicit confirmation.
 
 ## Key Features
-- **Multi-Provider Integration:** Supports both Gemini and Anthropic with seamless switching.
+- **Multi-Provider Integration:** Supports Gemini, Anthropic, and DeepSeek with seamless switching.
 - **4-Tier Hierarchical Multi-Model Architecture:** Orchestrates an intelligent cascade of specialized models to isolate cognitive loads and minimize token burn.
   - **Tier 1 (Orchestrator):** Product alignment and high-level strategy using `gemini-3.1-pro-preview`.
   - **Tier 2 (Tech Lead):** Architectural design and technical planning using `gemini-3-flash-preview`.
-  - **Tier 3 (Worker):** Focused implementation and surgical code changes using `gemini-2.5-flash-lite`.
-  - **Tier 4 (QA):** Bug reproduction, test analysis, and error translation using `gemini-2.5-flash-lite`.
+  - **Tier 3 (Worker):** Focused implementation and surgical code changes using `gemini-2.5-flash-lite` or `deepseek-v3`.
+  - **Tier 4 (QA):** Bug reproduction, test analysis, and error translation using `gemini-2.5-flash-lite` or `deepseek-v3`.
   - **MMA Delegation Engine:** Utilizes the `mma-exec` CLI and `mma.ps1` helper to route tasks, ensuring each tier receives role-scoped context (e.g., Orchestrators get Product docs; Workers get Workflow specs).
   - **Role-Scoped Documentation:** Automated mapping of foundational documents to specific tiers to prevent token bloat and maintain high-signal context.
 - **Strict Memory Siloing:** Employs AST-based interface extraction and "Context Amnesia" to provide workers only with the absolute minimum context required, preventing hallucination loops.

conductor/tech-stack.md

@@ -18,10 +18,13 @@
 
 - **google-genai:** For Google Gemini API interaction and explicit context caching.
 - **anthropic:** For Anthropic Claude API interaction, supporting ephemeral prompt caching.
+- **DeepSeek (Dedicated SDK):** Integrated for high-performance codegen and reasoning (Phase 2).
 - **Gemini CLI:** Integrated as a headless backend provider, utilizing a custom subprocess adapter and bridge script for tool execution control.
 - **Gemini 3.1 Pro Preview:** Tier 1 Orchestrator model for complex reasoning.
 - **Gemini 3 Flash Preview:** Tier 2 Tech Lead model for rapid architectural planning.
 - **Gemini 2.5 Flash Lite:** High-performance, low-latency model for Tier 3 Workers and Tier 4 QA.
+- **DeepSeek-V3:** Tier 3 Worker model optimized for code implementation.
+- **DeepSeek-R1:** Specialized reasoning model for complex logical chains and "thinking" traces.
 
 ## Configuration & Tooling
 

conductor/tracks/deepseek_support_20260225/plan.md

@@ -1,10 +1,10 @@
 # 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 1: Infrastructure & Common Logic [checkpoint: 0ec3720]
+- [x] Task: Initialize MMA Environment `activate_skill mma-orchestrator` 1b3ff23
+- [x] Task: Update `credentials.toml` schema and configuration logic in `project_manager.py` to support `deepseek` 1b3ff23
+- [x] Task: Define the `DeepSeekProvider` interface in `ai_client.py` and align with existing provider patterns 1b3ff23
+- [x] Task: Conductor - User Manual Verification 'Infrastructure & Common Logic' (Protocol in workflow.md) 1b3ff23
 
 ## Phase 2: DeepSeek API Client Implementation
 - [ ] Task: Write failing tests for `DeepSeekProvider` model selection and basic completion

gui_2.py

@@ -29,7 +29,7 @@ from pydantic import BaseModel
 from imgui_bundle import imgui, hello_imgui, immapp
 
 CONFIG_PATH = Path("config.toml")
-PROVIDERS = ["gemini", "anthropic", "gemini_cli"]
+PROVIDERS = ["gemini", "anthropic", "gemini_cli", "deepseek"]
 COMMS_CLAMP_CHARS = 300
 
 def load_config() -> dict:

project_manager.py

@@ -101,6 +101,7 @@ def default_project(name: str = "unnamed") -> dict:
         "files":       {"base_dir": ".", "paths": []},
         "screenshots": {"base_dir": ".", "paths": []},
         "gemini_cli":  {"binary_path": "gemini"},
+        "deepseek":    {"reasoning_effort": "medium"},
         "agent":       {
             "tools": {
                 "run_powershell": True,
@@ -113,7 +114,7 @@ def default_project(name: str = "unnamed") -> dict:
             }
         },
         "discussion":  {
-            "roles":       ["User", "AI", "Vendor API", "System"],
+            "roles":       ["User", "AI", "Vendor API", "System", "Reasoning"],
             "active":      "main",
             "discussions": {"main": default_discussion()},
         },

scripts/mma_exec.py

@@ -120,6 +120,10 @@ def execute_agent(role: str, prompt: str, docs: list[str]) -> str:
     
     # Advanced Context: Dependency skeletons for Tier 3
     injected_context = ""
+    # Whitelist of modules that sub-agents have "unfettered" (full) access to.
+    # These will be provided in full if imported, instead of just skeletons.
+    UNFETTERED_MODULES = ['mcp_client', 'project_manager']
+
     if role in ['tier3', 'tier3-worker']:
         for doc in docs:
             if doc.endswith('.py') and os.path.exists(doc):
@@ -129,15 +133,20 @@ def execute_agent(role: str, prompt: str, docs: list[str]) -> str:
                     dep_file = f"{dep}.py"
                     if os.path.exists(dep_file) and dep_file != doc:
                         try:
-                            with open(dep_file, 'r', encoding='utf-8') as f:
-                                skeleton = generate_skeleton(f.read())
-                            injected_context += f"\n\nDEPENDENCY SKELETON: {dep_file}\n{skeleton}\n"
+                            if dep in UNFETTERED_MODULES:
+                                with open(dep_file, 'r', encoding='utf-8') as f:
+                                    full_content = f.read()
+                                injected_context += f"\n\nFULL MODULE CONTEXT: {dep_file}\n{full_content}\n"
+                            else:
+                                with open(dep_file, 'r', encoding='utf-8') as f:
+                                    skeleton = generate_skeleton(f.read())
+                                injected_context += f"\n\nDEPENDENCY SKELETON: {dep_file}\n{skeleton}\n"
                         except Exception as e:
-                            print(f"Error generating skeleton for {dep_file}: {e}")
+                            print(f"Error gathering context for {dep_file}: {e}")
                 
                 # Check for token-bloat safety: if injected_context is too large, truncate it
-                if len(injected_context) > 10000:
-                     injected_context = injected_context[:10000] + "... [TRUNCATED FOR COMMAND LINE LIMITS]"
+                if len(injected_context) > 15000:
+                     injected_context = injected_context[:15000] + "... [TRUNCATED FOR COMMAND LINE LIMITS]"
 
     # MMA Protocol: Tier 3 and 4 are stateless and tool-less.
     system_directive = f"STRICT SYSTEM DIRECTIVE: You are a stateless {role}. " \

tests/test_deepseek_infra.py

@@ -0,0 +1,65 @@
+import pytest
+import os
+import tomllib
+import tomli_w
+from pathlib import Path
+import sys
+
+# Ensure project root is in path
+sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
+
+import ai_client
+import project_manager
+
+def test_credentials_error_mentions_deepseek(monkeypatch):
+    """
+    Verify that the error message shown when credentials.toml is missing
+    includes deepseek instructions.
+    """
+    # Monkeypatch SLOP_CREDENTIALS to a non-existent file
+    monkeypatch.setenv("SLOP_CREDENTIALS", "non_existent_credentials_file.toml")
+    
+    with pytest.raises(FileNotFoundError) as excinfo:
+        ai_client._load_credentials()
+    
+    err_msg = str(excinfo.value)
+    assert "[deepseek]" in err_msg
+    assert "api_key" in err_msg
+
+def test_default_project_includes_reasoning_role():
+    """
+    Verify that 'Reasoning' is included in the default discussion roles
+    to support DeepSeek-R1 reasoning traces.
+    """
+    proj = project_manager.default_project("test")
+    roles = proj["discussion"]["roles"]
+    assert "Reasoning" in roles
+
+def test_gui_providers_list():
+    """
+    Check if 'deepseek' is in the GUI's provider list.
+    """
+    import gui_2
+    assert "deepseek" in gui_2.PROVIDERS
+
+def test_deepseek_model_listing():
+    """
+    Verify that list_models for deepseek returns expected models.
+    """
+    models = ai_client.list_models("deepseek")
+    assert "deepseek-chat" in models
+    assert "deepseek-reasoner" in models
+
+def test_gui_provider_list_via_hooks(live_gui):
+    """
+    Verify 'deepseek' is present in the GUI provider list using API hooks.
+    """
+    from api_hook_client import ApiHookClient
+    import time
+    client = ApiHookClient()
+    assert client.wait_for_server(timeout=10)
+    
+    # Attempt to set provider to deepseek to verify it's an allowed value
+    client.set_value('current_provider', 'deepseek')
+    time.sleep(0.5)
+    assert client.get_value('current_provider') == 'deepseek'