chore(conductor): Archive track 'Add support for the deepseek api as a provider.'

conductor/archive/deepseek_support_20260225/index.md

@@ -0,0 +1,5 @@
+# Track deepseek_support_20260225 Context
+
+- [Specification](./spec.md)
+- [Implementation Plan](./plan.md)
+- [Metadata](./metadata.json)

conductor/archive/deepseek_support_20260225/metadata.json

@@ -0,0 +1,8 @@
+{
+  "track_id": "deepseek_support_20260225",
+  "type": "feature",
+  "status": "new",
+  "created_at": "2026-02-25T00:00:00Z",
+  "updated_at": "2026-02-25T00:00:00Z",
+  "description": "Add support for the deepseek api as a provider."
+}

conductor/archive/deepseek_support_20260225/plan.md

@@ -0,0 +1,27 @@
+# Implementation Plan: DeepSeek API Provider Support
+
+## 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
+- [x] Task: Write failing tests for `DeepSeekProvider` model selection and basic completion
+- [x] Task: Implement `DeepSeekProvider` using the dedicated SDK
+- [x] Task: Write failing tests for streaming and tool calling parity in `DeepSeekProvider`
+- [x] Task: Implement streaming and tool calling logic for DeepSeek models
+- [x] Task: Conductor - User Manual Verification 'DeepSeek API Client Implementation' (Protocol in workflow.md)
+
+## Phase 3: Reasoning Traces & Advanced Capabilities
+- [x] Task: Write failing tests for reasoning trace capture in `DeepSeekProvider` (DeepSeek-R1)
+- [x] Task: Implement reasoning trace processing and integration with discussion history
+- [x] Task: Write failing tests for token estimation and cost tracking for DeepSeek models
+- [x] Task: Implement token usage tracking according to DeepSeek pricing
+- [x] Task: Conductor - User Manual Verification 'Reasoning Traces & Advanced Capabilities' (Protocol in workflow.md)
+
+## Phase 4: GUI Integration & Final Verification
+- [x] Task: Update `gui_2.py` and `theme_2.py` (if necessary) to include DeepSeek in the provider selection UI
+- [x] Task: Implement automated regression tests for the full DeepSeek lifecycle (prompt, streaming, tool call, reasoning)
+- [x] Task: Verify overall performance and UI responsiveness with the new provider
+- [x] Task: Conductor - User Manual Verification 'GUI Integration & Final Verification' (Protocol in workflow.md)

conductor/archive/deepseek_support_20260225/spec.md

@@ -0,0 +1,31 @@
+# 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.

conductor/tracks.md

@@ -40,8 +40,3 @@ This file tracks all major tracks for the project. Each track has its own detail
 
 ---
 
-- [x] **Track: Add support for the deepseek api as a provider.**
-*Link: [./tracks/deepseek_support_20260225/](./tracks/deepseek_support_20260225/)*
-
----
-

config.toml

@@ -1,6 +1,6 @@
 [ai]
-provider = "gemini"
-model = "gemini-2.5-flash-lite"
+provider = "deepseek"
+model = "deepseek-chat"
 temperature = 0.0
 max_tokens = 8192
 history_trunc_limit = 8000

fix_task.toml

@@ -0,0 +1,17 @@
+role = "tier3-worker"
+prompt = """FIX DeepSeek implementation in ai_client.py.
+
+CONTEXT:
+Several tests in @tests/test_deepseek_provider.py are failing (returning '(No text returned by the model)') because the current implementation of '_send_deepseek' in @ai_client.py forces 'stream=True' and expects SSE format, but the test mocks provide standard JSON responses.
+
+TASK:
+1. Modify '_send_deepseek' in @ai_client.py to handle the response correctly whether it is a stream or a standard JSON response.
+   - You should probably determine this based on the 'stream' value in the payload (which is currently hardcoded to True, but the implementation should be flexible).
+   - If 'stream' is True, use the iter_lines() logic to aggregate chunks.
+   - If 'stream' is False, use resp.json() to get the content.
+2. Fix the 'NameError: name 'data' is not defined' and ensure 'usage' is correctly extracted.
+3. Ensure 'full_content', 'full_reasoning' (thinking tags), and 'tool_calls' are correctly captured and added to the conversation history in both modes.
+4. Ensure all tests in @tests/test_deepseek_provider.py pass.
+
+OUTPUT: Provide the raw Python code for the modified '_send_deepseek' function."""
+docs = ["ai_client.py", "tests/test_deepseek_provider.py"]

manualslop_layout.ini

@@ -79,7 +79,7 @@ DockId=0x0000000F,2
 
 [Window][Theme]
 Pos=0,17
-Size=588,400
+Size=588,545
 Collapsed=0
 DockId=0x00000005,1
 
@@ -96,7 +96,7 @@ DockId=0x0000000E,0
 
 [Window][Context Hub]
 Pos=0,17
-Size=588,400
+Size=588,545
 Collapsed=0
 DockId=0x00000005,0
 
@@ -119,14 +119,14 @@ Collapsed=0
 DockId=0x0000000E,1
 
 [Window][Files & Media]
-Pos=0,419
-Size=588,781
+Pos=0,564
+Size=588,636
 Collapsed=0
 DockId=0x00000006,1
 
 [Window][AI Settings]
-Pos=0,419
-Size=588,781
+Pos=0,564
+Size=588,636
 Collapsed=0
 DockId=0x00000006,0
 
@@ -140,8 +140,8 @@ DockSpace             ID=0xAFC85805 Window=0x079D3A04 Pos=0,17 Size=1680,1183 Sp
       DockNode        ID=0x0000000B Parent=0x00000003 SizeRef=404,1186 Split=Y Selected=0xF4139CA2
         DockNode      ID=0x00000002 Parent=0x0000000B SizeRef=1029,1119 Split=X Selected=0xF4139CA2
           DockNode    ID=0x00000007 Parent=0x00000002 SizeRef=588,858 Split=Y Selected=0x8CA2375C
-            DockNode  ID=0x00000005 Parent=0x00000007 SizeRef=295,400 Selected=0xF4139CA2
-            DockNode  ID=0x00000006 Parent=0x00000007 SizeRef=295,781 CentralNode=1 Selected=0x7BD57D6A
+            DockNode  ID=0x00000005 Parent=0x00000007 SizeRef=295,545 Selected=0xF4139CA2
+            DockNode  ID=0x00000006 Parent=0x00000007 SizeRef=295,636 CentralNode=1 Selected=0x7BD57D6A
           DockNode    ID=0x0000000E Parent=0x00000002 SizeRef=530,858 Selected=0x418C7449
         DockNode      ID=0x00000001 Parent=0x0000000B SizeRef=1029,775 Selected=0x8B4EBFA6
       DockNode        ID=0x0000000D Parent=0x00000003 SizeRef=435,1186 Selected=0x363E93D6

mcp_client.py

@@ -229,6 +229,74 @@ def get_file_summary(path: str) -> str:
         return f"ERROR summarising '{path}': {e}"
 
 
+def get_python_skeleton(path: str) -> str:
+    """
+    Returns a skeleton of a Python file (preserving docstrings, stripping function bodies).
+    """
+    p, err = _resolve_and_check(path)
+    if err:
+        return err
+    if not p.exists():
+        return f"ERROR: file not found: {path}"
+    if not p.is_file() or p.suffix != ".py":
+        return f"ERROR: not a python file: {path}"
+    
+    try:
+        # Use mma_exec's generator if possible, or a local simplified version
+        # For now, we will use a dedicated script or just inline logic here.
+        # Given we have tree-sitter already installed in the env...
+        import tree_sitter
+        import tree_sitter_python
+        
+        code = p.read_text(encoding="utf-8")
+        PY_LANGUAGE = tree_sitter.Language(tree_sitter_python.language())
+        parser = tree_sitter.Parser(PY_LANGUAGE)
+        tree = parser.parse(bytes(code, "utf8"))
+
+        edits = []
+
+        def is_docstring(node):
+            if node.type == "expression_statement" and node.child_count > 0:
+                if node.children[0].type == "string":
+                    return True
+            return False
+
+        def walk(node):
+            if node.type == "function_definition":
+                body = node.child_by_field_name("body")
+                if body and body.type == "block":
+                    indent = " " * body.start_point.column
+                    first_stmt = None
+                    for child in body.children:
+                        if child.type != "comment":
+                            first_stmt = child
+                            break
+
+                    if first_stmt and is_docstring(first_stmt):
+                        start_byte = first_stmt.end_byte
+                        end_byte = body.end_byte
+                        if end_byte > start_byte:
+                            edits.append((start_byte, end_byte, f"\\n{indent}..."))
+                    else:
+                        start_byte = body.start_byte
+                        end_byte = body.end_byte
+                        edits.append((start_byte, end_byte, "..."))
+
+            for child in node.children:
+                walk(child)
+
+        walk(tree.root_node)
+
+        edits.sort(key=lambda x: x[0], reverse=True)
+        code_bytes = bytearray(code, "utf8")
+        for start, end, replacement in edits:
+            code_bytes[start:end] = bytes(replacement, "utf8")
+
+        return code_bytes.decode("utf8")
+    except Exception as e:
+        return f"ERROR generating skeleton for '{path}': {e}"
+
+
 
 # ------------------------------------------------------------------ web tools
 
@@ -355,7 +423,7 @@ def get_ui_performance() -> str:
 # ------------------------------------------------------------------ tool dispatch
 
 
-TOOL_NAMES = {"read_file", "list_directory", "search_files", "get_file_summary", "web_search", "fetch_url", "get_ui_performance"}
+TOOL_NAMES = {"read_file", "list_directory", "search_files", "get_file_summary", "get_python_skeleton", "web_search", "fetch_url", "get_ui_performance"}
 
 
 def dispatch(tool_name: str, tool_input: dict) -> str:
@@ -370,6 +438,8 @@ def dispatch(tool_name: str, tool_input: dict) -> str:
         return search_files(tool_input.get("path", ""), tool_input.get("pattern", "*"))
     if tool_name == "get_file_summary":
         return get_file_summary(tool_input.get("path", ""))
+    if tool_name == "get_python_skeleton":
+        return get_python_skeleton(tool_input.get("path", ""))
     if tool_name == "web_search":
         return web_search(tool_input.get("query", ""))
     if tool_name == "fetch_url":
@@ -458,6 +528,25 @@ MCP_TOOL_SPECS = [
             "required": ["path"],
         },
     },
+    {
+        "name": "get_python_skeleton",
+        "description": (
+            "Get a skeleton view of a Python file. "
+            "This returns all classes and function signatures with their docstrings, "
+            "but replaces function bodies with '...'. "
+            "Use this to understand module interfaces without reading the full implementation."
+        ),
+        "parameters": {
+            "type": "object",
+            "properties": {
+                "path": {
+                    "type": "string",
+                    "description": "Path to the .py file.",
+                }
+            },
+            "required": ["path"],
+        },
+    },
     {
         "name": "web_search",
         "description": "Search the web using DuckDuckGo. Returns the top 5 search results with titles, URLs, and snippets. Chain this with fetch_url to read specific pages.",
@@ -472,6 +561,20 @@ MCP_TOOL_SPECS = [
             "required": ["query"]
         }
     },
+    {
+        "name": "fetch_url",
+        "description": "Fetch the full text content of a URL (stripped of HTML tags). Use this after web_search to read relevant information from the web.",
+        "parameters": {
+            "type": "object",
+            "properties": {
+                "url": {
+                    "type": "string",
+                    "description": "The full URL to fetch."
+                }
+            },
+            "required": ["url"]
+        }
+    },
     {
         "name": "get_ui_performance",
         "description": "Get a snapshot of the current UI performance metrics, including FPS, Frame Time (ms), CPU usage (%), and Input Lag (ms). Use this to diagnose UI slowness or verify that your changes haven't degraded the user experience.",

sanity_task.toml

@@ -0,0 +1,3 @@
+role = "tier3-worker"
+prompt = "Read @ai_client.py and describe the current placeholder implementation of _send_deepseek. Just a one-sentence summary."
+docs = ["ai_client.py"]

task.toml

@@ -0,0 +1,17 @@
+role = "tier3-worker"
+prompt = """TASK: Implement streaming support for the DeepSeek provider in ai_client.py and add failing tests.
+
+INSTRUCTIONS:
+1. In @tests/test_deepseek_provider.py: 
+   - Add a test function 'test_deepseek_streaming' that mocks a streaming API response using 'requests.post(..., stream=True)'.
+   - Use 'mock_response.iter_lines()' to simulate chunks of data.
+   - Assert that 'ai_client.send()' correctly aggregates these chunks into a single string.
+
+2. In @ai_client.py:
+   - Modify the '_send_deepseek' function to use 'requests.post(..., stream=True)'.
+   - Implement a loop to iterate over the response lines using 'iter_lines()'.
+   - Aggregate the content from each chunk.
+   - Ensure the aggregated content is added to the history and returned by the function.
+
+OUTPUT: Provide the raw Python code for the modified sections or the full files. No pleasantries."""
+docs = ["conductor/workflow.md", "ai_client.py", "tests/test_deepseek_provider.py", "mcp_client.py"]

tests/temp_project_history.toml

@@ -4,10 +4,20 @@ roles = [
     "Vendor API",
     "System",
 ]
-active = "main"
+active = "testing deepseek"
 auto_add = true
 
 [discussions.main]
 git_commit = ""
-last_updated = "2026-02-25T21:55:15"
-history = []
+last_updated = "2026-02-25T23:33:11"
+history = [
+    "@2026-02-25T22:34:11\nSystem:\n[PERFORMANCE ALERT] CPU usage high: 92.2%. Please consider optimizing recent changes or reducing load.",
+]
+
+[discussions."testing deepseek"]
+git_commit = ""
+last_updated = "2026-02-25T23:33:45"
+history = [
+    "@2026-02-25T23:33:21\nUser:\ntesting testing 123?",
+    "@2026-02-25T23:33:25\nAI:\nI see you're testing with \"testing testing 123\". I'm here and ready to help! I'm a helpful coding assistant with access to PowerShell and various tools for file operations and web access.\n\nWhat would you like me to help you with today? I can assist with:\n- Writing or editing code files\n- Searching for information\n- Reading or analyzing files\n- Running commands\n- Web searches\n- And much more!\n\nJust let me know what you need help with.",
+]