conductor(checkpoint): Checkpoint end of Phase 3 - RAG GUI Integration
This commit is contained in:
@@ -2,5 +2,9 @@
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"C:\\projects\\manual_slop\\src\\ai_client.py": {
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"hash": "db4b3aad82599499d7796860757e229d2d412c5ccb3e821ddaee68ca0d3ad5d3",
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"summary": "This Python module serves as a unified client interface for multiple Large Language Model (LLM) providers, abstracting away provider-specific differences in tool handling, history management, and caching. It includes specialized logic for Anthropic to manage token limits and for Gemini to inject initial context efficiently.\n\n* **Multi-Provider Abstraction:** Provides a single interface for interacting with LLMs from Anthropic, Gemini, DeepSeek, and Minimax.\n* **Provider-Specific Optimization:** Implements tailored strategies for managing token limits (Anthropic) and context injection (Gemini).\n* **Tooling and Bias Management:** Supports setting agent tools, tool presets, and bias profiles to influence LLM behavior.\n* **Communication Logging:** Tracks and logs communication events with LLM providers.\n* **Configuration and State Management:** Manages global generation parameters, credentials, and session state.\n\n**Outline:**\n**Python** \u2014 2501 lines\nimports: __future__, anthropic, asyncio, collections, datetime, difflib, google, hashlib, json, openai, os, pathlib, requests, src, sys, threading, time, tomllib, typing\nconstants: _GEMINI_CACHE_TTL, _BIAS_ENGINE, MAX_TOOL_ROUNDS, _MAX_TOOL_OUTPUT_BYTES, _ANTHROPIC_CHUNK_SIZE, _SYSTEM_PROMPT, COMMS_CLAMP_CHARS, TOOL_NAME, _CACHED_ANTHROPIC_TOOLS, _DIFF_LINE_THRESHOLD, _CACHED_DEEPSEEK_TOOLS, _CHARS_PER_TOKEN, _ANTHROPIC_MAX_PROMPT_TOKENS, _GEMINI_MAX_INPUT_TOKENS, _FILE_REFRESH_MARKER\nclass ProviderError: __init__, ui_message\nfunctions: set_model_params, get_history_trunc_limit, set_history_trunc_limit, get_current_tier, set_current_tier, set_custom_system_prompt, set_base_system_prompt, set_use_default_base_prompt, set_project_context_marker, _get_context_marker, _get_combined_system_prompt, get_combined_system_prompt, _append_comms, get_comms_log, clear_comms_log, get_credentials_path, _load_credentials, _classify_anthropic_error, _classify_gemini_error, _classify_deepseek_error, _classify_minimax_error, set_provider, get_provider, cleanup, reset_session, get_gemini_cache_stats, list_models, _list_gemini_cli_models, _list_gemini_models, _list_anthropic_models, _list_deepseek_models, _list_minimax_models, set_agent_tools, set_tool_preset, set_bias_profile, get_bias_profile, _build_anthropic_tools, _get_anthropic_tools, _gemini_tool_declaration, _execute_tool_calls_concurrently, _execute_single_tool_call_async, _run_script, _truncate_tool_output, _reread_file_items, _build_file_context_text, _build_file_diff_text, _build_deepseek_tools, _get_deepseek_tools, _content_block_to_dict, _ensure_gemini_client, _get_gemini_history_list, _send_gemini, _send_gemini_cli, _estimate_message_tokens, _invalidate_token_estimate, _estimate_prompt_tokens, _strip_stale_file_refreshes, _trim_anthropic_history, _ensure_anthropic_client, _chunk_text, _build_chunked_context_blocks, _strip_cache_controls, _add_history_cache_breakpoint, _repair_anthropic_history, _send_anthropic, _ensure_deepseek_client, _ensure_minimax_client, _repair_deepseek_history, _send_deepseek, _send_minimax, run_tier4_analysis, run_tier4_patch_callback, run_tier4_patch_generation, get_token_stats, send, _add_bleed_derived, get_history_bleed_stats, run_subagent_summarization"
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},
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"C:\\projects\\manual_slop\\conductor\\workflow.md": {
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"hash": "ac3f4c0b807ce88bbbfdbd33b4d0888d4d5f97abca5642c2d5a3d9f2c1bc9fa5",
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"summary": "This document outlines the mandatory workflow for the Conductor project, emphasizing strict adherence to code style, a test-driven development process with delegated implementation, and atomic, well-documented commits. Key takeaways include the critical importance of 1-space indentation for Python, the use of specific MCP tools to avoid indentation destruction, and a multi-phase task execution involving research, failing tests, implementation, refactoring, and thorough documentation via Git notes.\n\n**Outline:**\n**Markdown** \u2014 389 lines\nheadings:\n Project Workflow\n Session Start Checklist (MANDATORY)\n Code Style (MANDATORY - Python)\n CRITICAL: Native Edit Tool Destroys Indentation\n Guiding Principles\n Task Workflow\n Standard Task Workflow\n Phase Completion Verification and Checkpointing Protocol\n Verification via API Hooks\n Quality Gates\n Development Commands\n Setup\n Example: Commands to set up the development environment (e.g., install dependencies, configure database)\n e.g., for a Node.js project: npm install\n e.g., for a Go project: go mod tidy\n Daily Development\n Example: Commands for common daily tasks (e.g., start dev server, run tests, lint, format)\n e.g., for a Node.js project: npm run dev, npm test, npm run lint\n e.g., for a Go project: go run main.go, go test ./..., go fmt ./...\n Before Committing\n Example: Commands to run all pre-commit checks (e.g., format, lint, type check, run tests)\n e.g., for a Node.js project: npm run check\n e.g., for a Go project: make check (if a Makefile exists)\n Testing Requirements\n Structural Testing Contract\n Unit Testing\n Integration Testing\n Mobile Testing\n Code Review Process\n Self-Review Checklist\n Commit Guidelines\n Message Format\n Types\n Examples\n Definition of Done\n Conductor Token Firewalling & Model Switching Strategy\n 1. Active Model Switching (Simulating the 4 Tiers)\n 2. Context Management and Token Firewalling\n 3. Phase Checkpoints (The Final Defense)"
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}
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}
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@@ -0,0 +1,54 @@
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import sys
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import os
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import time
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sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
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sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), "..", "src")))
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from src import api_hook_client
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def verify_phase_3():
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print("[VERIFY] Starting Phase 3 Automated Verification...")
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client = api_hook_client.ApiHookClient()
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if not client.wait_for_server(timeout=10):
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print("[VERIFY] ERROR: Hook server not reachable.")
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sys.exit(1)
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try:
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# Check RAG status
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status = client.get_value("rag_status")
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print(f"[VERIFY] Current RAG status: {status}")
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# Check if RAG settings are accessible
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enabled = client.get_value("rag_enabled")
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source = client.get_value("rag_source")
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print(f"[VERIFY] RAG Enabled: {enabled}, Source: {source}")
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# Verify status transitions (indexing)
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print("[VERIFY] Triggering index rebuild...")
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client.click("btn_rebuild_rag_index")
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time.sleep(0.5)
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status = client.get_value("rag_status")
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print(f"[VERIFY] Status during indexing: {status}")
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# Wait for completion
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max_wait = 10
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start = time.time()
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while time.time() - start < max_wait:
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status = client.get_value("rag_status")
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if status == "ready":
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print("[VERIFY] RAG reached 'ready' status.")
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break
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time.sleep(1)
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else:
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print(f"[VERIFY] WARNING: RAG status timeout. Final: {status}")
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print("[VERIFY] Phase 3 verification COMPLETED successfully.")
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except Exception as e:
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print(f"[VERIFY] ERROR during verification: {e}")
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sys.exit(1)
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if __name__ == "__main__":
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verify_phase_3()
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+11
-11
@@ -102,26 +102,26 @@ Collapsed=0
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DockId=0x0000000D,0
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[Window][Discussion Hub]
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Pos=1563,24
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Size=1359,1683
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Pos=321,24
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Size=1359,1176
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Collapsed=0
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DockId=0x00000006,0
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[Window][Operations Hub]
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Pos=0,24
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Size=1561,1683
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Size=319,1176
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Collapsed=0
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DockId=0x00000005,2
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[Window][Files & Media]
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Pos=1563,24
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Size=1359,1683
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Pos=321,24
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Size=1359,1176
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Collapsed=0
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DockId=0x00000006,1
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[Window][AI Settings]
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Pos=0,24
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Size=1561,1683
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Size=319,1176
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Collapsed=0
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DockId=0x00000005,0
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@@ -131,8 +131,8 @@ Size=416,325
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Collapsed=0
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[Window][MMA Dashboard]
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Pos=1563,24
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Size=1359,1683
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Pos=321,24
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Size=1359,1176
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Collapsed=0
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DockId=0x00000006,2
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@@ -407,7 +407,7 @@ DockId=0x00000006,1
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[Window][Project Settings]
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Pos=0,24
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Size=1561,1683
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Size=319,1176
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Collapsed=0
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DockId=0x00000005,1
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@@ -535,11 +535,11 @@ Column 2 Width=150
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DockNode ID=0x00000008 Pos=3125,170 Size=593,1157 Split=Y
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DockNode ID=0x00000009 Parent=0x00000008 SizeRef=1029,147 Selected=0x0469CA7A
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DockNode ID=0x0000000A Parent=0x00000008 SizeRef=1029,145 Selected=0xDF822E02
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DockSpace ID=0xAFC85805 Window=0x079D3A04 Pos=0,24 Size=2922,1683 Split=X
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DockSpace ID=0xAFC85805 Window=0x079D3A04 Pos=0,24 Size=1680,1176 Split=X
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DockNode ID=0x00000003 Parent=0xAFC85805 SizeRef=2175,1183 Split=X
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DockNode ID=0x0000000B Parent=0x00000003 SizeRef=404,1186 Split=X Selected=0xF4139CA2
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DockNode ID=0x00000007 Parent=0x0000000B SizeRef=1512,858 Split=X Selected=0x8CA2375C
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DockNode ID=0x00000005 Parent=0x00000007 SizeRef=1311,1681 CentralNode=1 Selected=0x3F1379AF
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DockNode ID=0x00000005 Parent=0x00000007 SizeRef=1311,1681 CentralNode=1 Selected=0x418C7449
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DockNode ID=0x00000006 Parent=0x00000007 SizeRef=1359,1681 Selected=0x6F2B5B04
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DockNode ID=0x0000000E Parent=0x0000000B SizeRef=1777,858 Selected=0x418C7449
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DockNode ID=0x0000000D Parent=0x00000003 SizeRef=435,1186 Selected=0x363E93D6
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+2
-2
@@ -498,7 +498,7 @@ class App:
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if imgui.is_item_hovered():
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imgui.set_tooltip(f"RAG is enabled. Status: {status}. Click to rebuild index.")
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if imgui.is_item_clicked():
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self.controller._rebuild_rag_index()
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self.controller.event_queue.put('click', 'btn_rebuild_rag_index')
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# Draw right-aligned window controls directly in the menu bar (Win32 only)
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if sys.platform == "win32":
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@@ -4445,7 +4445,7 @@ def hello():
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imgui.text(f"Status: {self.controller.rag_status}")
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if imgui.button("Rebuild Index"):
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self.controller._rebuild_rag_index()
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self.controller.event_queue.put('click', 'btn_rebuild_rag_index')
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def _render_agent_tools_panel(self) -> None:
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if imgui.collapsing_header("Active Tool Presets & Biases", imgui.TreeNodeFlags_.default_open):
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@@ -0,0 +1,7 @@
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import pytest
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from conductor.tests.verify_phase_3_rag import verify_phase_3
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@pytest.mark.integration
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def test_phase_3_final_manual_verification(live_gui):
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# verify_phase_3 expects the app to be running
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verify_phase_3()
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