Add files using upload-large-folder tool

SPFsmartGATE/LIVE/CONFIG/groups/alpha.json

@@ -0,0 +1,4 @@
+[
+  {"key": "3e9a6c078e8d2d6957ba499caf289a223bf79daa333cc05f1a8563d16fd2989e", "addr": "127.0.0.1:4987", "name": "controller1", "role": "orchestrator"},
+  {"key": "ba2ad5c3119ce182c34856833dd6c466c9e70f1da2da1c44a17dfffeb335222c", "addr": "127.0.0.1:4988", "name": "ba2ad5c3", "role": "orchestrator"}
+]

SPFsmartGATE/LIVE/CONFIG/groups/alpha.keys

@@ -0,0 +1,2 @@
+3e9a6c078e8d2d6957ba499caf289a223bf79daa333cc05f1a8563d16fd2989e
+ba2ad5c3119ce182c34856833dd6c466c9e70f1da2da1c44a17dfffeb335222c

SPFsmartGATE/LIVE/CONFIG/groups/ba2ad5c3.json

@@ -0,0 +1,6 @@
+{
+  "key": "ba2ad5c3119ce182c34856833dd6c466c9e70f1da2da1c44a17dfffeb335222c",
+  "addr": ["127.0.0.1:4988"],
+  "name": "ba2ad5c3",
+  "role": "orchestrator"
+}

SPFsmartGATE/LIVE/CONFIG/groups/ba2ad5c3.keys

@@ -0,0 +1 @@
+ba2ad5c3119ce182c34856833dd6c466c9e70f1da2da1c44a17dfffeb335222c

SPFsmartGATE/LIVE/CONFIG/groups/controller1.json

@@ -0,0 +1,6 @@
+{
+  "key": "3e9a6c078e8d2d6957ba499caf289a223bf79daa333cc05f1a8563d16fd2989e",
+  "addr": ["127.0.0.1:4987"],
+  "name": "controller1",
+  "role": "orchestrator"
+}

SPFsmartGATE/LIVE/CONFIG/groups/controller1.keys

@@ -0,0 +1 @@
+3e9a6c078e8d2d6957ba499caf289a223bf79daa333cc05f1a8563d16fd2989e

SPFsmartGATE/LIVE/CONFIG/tls/cert.pem

@@ -0,0 +1,10 @@
+-----BEGIN CERTIFICATE-----
+MIIBdDCCARqgAwIBAgIUOh4WQhnSKaX3XZ91xe2J2AuMluMwCgYIKoZIzj0EAwIw
+ITEfMB0GA1UEAwwWcmNnZW4gc2VsZiBzaWduZWQgY2VydDAgFw03NTAxMDEwMDAw
+MDBaGA80MDk2MDEwMTAwMDAwMFowITEfMB0GA1UEAwwWcmNnZW4gc2VsZiBzaWdu
+ZWQgY2VydDBZMBMGByqGSM49AgEGCCqGSM49AwEHA0IABK23gIP6wjs4c9VQcHfW
+ukRHvPnFGEAuQLO6OK186ucW9nEgk7dGXt/prAliwQDGRDcNwJ5Uatm80SAD3sJE
+zSyjLjAsMCoGA1UdEQQjMCGCCWxvY2FsaG9zdIIUc3BmLTNlOWE2YzA3OGU4ZDJk
+NjkwCgYIKoZIzj0EAwIDSAAwRQIhAOWQ1MHsLDgRj7NLUm1Csh/s4BSF1VFnrW6N
+wIIb8lUcAiAxatDCFxJR8moT0VHcYKGJFSjH2rI+m3V24/MbC5rbTg==
+-----END CERTIFICATE-----

SPFsmartGATE/LIVE/CONFIG/tls/key.pem

@@ -0,0 +1,5 @@
+-----BEGIN PRIVATE KEY-----
+MIGHAgEAMBMGByqGSM49AgEGCCqGSM49AwEHBG0wawIBAQQgBbB+472JYOlDbq9x
+CfbcFrjr8sKeDgHujEzEOuCGR+ihRANCAAStt4CD+sI7OHPVUHB31rpER7z5xRhA
+LkCzujitfOrnFvZxIJO3Rl7f6awJYsEAxkQ3DcCeVGrZvNEgA97CRM0s
+-----END PRIVATE KEY-----

SPFsmartGATE/LIVE/PROJECTS/PROJECTS/DEPLOY/.claude/settings.local.json

@@ -0,0 +1,11 @@
+{
+  "permissions": {
+    "allow": [
+      "mcp__spf-smart-gate__spf_web_search"
+    ]
+  },
+  "enabledMcpjsonServers": [
+    "spf-smart-gate"
+  ],
+  "enableAllProjectMcpServers": true
+}

SPFsmartGATE/LIVE/PROJECTS/PROJECTS/DEPLOY/.mcp.json

@@ -0,0 +1,12 @@
+{
+  "mcpServers": {
+    "spf-smart-gate": {
+      "type": "stdio",
+      "command": "/data/data/com.termux/files/home/SPFsmartGATE/LIVE/BIN/spf-smart-gate/spf-smart-gate",
+      "args": ["serve"],
+      "env": {
+        "SPF_ROOT": "/data/data/com.termux/files/home/SPFsmartGATE"
+      }
+    }
+  }
+}

SPFsmartGATE/LIVE/PROJECTS/PROJECTS/DEPLOY/CLAUDE.md

@@ -0,0 +1,369 @@
+
+}
+  {
+    "version": "3.0",
+    "updated": "2026-01-28",
+    "copyright": "Joseph Stone 2026 - All Rights
+  Reserved",
+
+    "boot_sequence": {
+      "mandatory": true,
+      "steps": [
+        "READ TRIAD-CMD/BOOT.md FIRST (identity,
+  working directory, state)",
+        "READ TRIAD-CMD/STATUS.md (completed work,
+  pending, blocked)",
+        "READ TRIAD-CMD/MORAL_FRAMEWORK.md (core
+  values, IMMUTABLE)",
+        "READ TRIAD-CMD/MEMORY_TRIAD.md (memory
+  systems, persistence)",
+        "READ TRIAD-CMD/WORKFLOW.md (confidence
+  grading, SearchSeeker)",
+        "REPORT: I have read TRIAD-CMD boot
+  sequence. Awaiting your direction.",
+        "DO NOTHING until user gives explicit
+  direction",
+        "NEVER auto-proceed through any task
+  list"
+      ]
+    },
+
+    "enforcement": {
+      "before_any_action": [
+        "Has user explicitly requested THIS
+  SPECIFIC action? NO = STOP",
+        "Did user say yes/approved/do it/proceed?
+   NO = STOP",
+        "Am I assuming what user wants? YES =
+  STOP AND ASK"
+      ],
+      "task_lists": {
+        "auto_execute": false,
+        "purpose": "memory aid only",
+        "each_task_requires": "fresh approval",
+        "in_progress_means": "NOTHING without
+  user saying proceed"
+      },
+      "violation": "User trust broken. Stop
+  everything. Apologize. Wait."
+    },
+
+    "priority_order": [
+      "1. User's direct words (HIGHEST - always
+  wins)",
+      "2. HARDCODE-RULES.md",
+      "3. STATUS.txt",
+      "4. Everything else"
+    ],
+
+    "stop_triggers": [
+      "User says stop",
+      "User asks what are you doing",
+      "User sounds confused or frustrated",
+      "About to do something not explicitly
+  requested",
+      "About to proceed to next task
+  automatically",
+      "Any uncertainty about what user wants"
+    ],
+
+    "rules": {
+      "read_and_acknowledge": {
+        "description": "Read and acknowledge
+  EVERYTHING the user says",
+        "actions": [
+          "Do not ignore any part of user
+  messages",
+          "If unclear, ask for clarification",
+          "ATTENTION TO DETAIL IS A MUST"
+        ],
+        "violation": "Re-read user message,
+  acknowledge what was missed, correct
+  immediately"
+      },
+
+      "no_modifications_without_approval": {
+        "description": "NEVER modify without
+  explicit user direction",
+        "actions": [
+          "NEVER modify system files, folders, or
+   data without explicit user direction",
+          "NEVER make changes that were not
+  directly requested",
+          "Before advising other changes, offer
+  options and wait for approval",
+          "Always add to files — never replace or
+   overwrite",
+          "Original build folder is VIEW ONLY",
+          "Twin folder for working/testing —
+  proven changes added to original by user only"
+        ],
+        "violation": "Data security breach / User
+   trust broken"
+      },
+
+      "workflow": {
+        "description": "Work exactly as
+  requested",
+        "actions": [
+          "NEVER MODIFY OR MAKE CHANGES NOT
+  DIRECTLY REQUESTED",
+          "Have clear overview before making
+  plans",
+          "Ask user for more details if
+  required",
+          "Work allocation governed by SPF dynamic formula — see stonecell_processing_formula section",
+          "Value quality over speed",
+          "Test all build plans before
+  implementing"
+        ]
+      },
+
+      "critical": {
+        "never": [
+          "Do something not directly requested",
+          "Auto-start tasks without
+  confirmation",
+          "Wander file systems outside work area
+  unless requested"
+        ],
+        "always": [
+          "Recap before starting unless user
+  gives go-ahead"
+        ]
+      },
+
+      "code_quality": {
+        "requirements": [
+          "Adhere to best coding practices",
+          "Ensure security when building",
+          "Advise user of potential threats and
+  solutions"
+        ]
+      },
+
+      "architecture_first": {
+        "threshold": ">200 lines or
+  multi-module",
+        "requirements": [
+          "Propose high-level architecture
+  diagram",
+          "SOLID breakdown",
+          "Data flow",
+          "User must approve before proceeding"
+        ]
+      },
+
+      "edit_removal_protocol": {
+        "description": "Before ANY edit or removal, present HOW and WHY for user approval",
+        "mandatory": true,
+        "before_any_edit": [
+          "Present WHAT will be changed (file path, line numbers)",
+          "Present HOW it will be changed (old code → new code)",
+          "Present WHY this change is needed",
+          "WAIT for explicit user approval"
+        ],
+        "before_any_removal": [
+          "Present WHAT will be removed",
+          "Present WHY removal is necessary",
+          "Confirm no dependencies will break",
+          "WAIT for explicit user approval"
+        ],
+        "priority_rule": {
+          "original_code_priority": true,
+          "description": "Original code holds priority to maintain system build and function",
+          "actions": [
+            "Preserve original logic unless explicitly requested to change",
+            "New code must integrate with existing patterns",
+            "Never break existing functionality for new features",
+            "When in doubt, keep original"
+          ]
+        },
+        "violation": "STOP. Present missing HOW/WHY. Wait for approval."
+      },
+
+      "stonecell_processing_formula": {
+        "version": "1.1",
+        "created": "2026-01-28",
+        "author": "Joseph Stone & Claude",
+        "reference_doc": "STONECELL_PROCESSING_FORMULA_REFERENCE.txt",
+
+        "master_equation": {
+          "description": "P(success) = 1 - PRODUCT(1 - P_i) for i=1..D subtasks",
+          "subtask_probability": "P_i = Q(a) × L(m) × V(v) × B(b)",
+          "Q": "Quality from analysis depth: Q(a) = 1 - e^(-0.00004 × a)",
+          "L": "Lookup from external memory: L(m) = 1 - 0.20^(m/2000)",
+          "V": "Verification accuracy: V(v) = 1 - (1 - 0.75)^v",
+          "B": "Build Anchor compliance: B(b) = checks_done / checks_required"
+        },
+
+        "dynamic_analysis_allocation": {
+          "replaces": "fixed 70/30 rule",
+          "formula": "a_optimal(C) = W_eff × (1 - 1/ln(C + e))",
+          "complexity_formula": "C = (basic ^ 1) + (dependencies ^ 7) + (complex ^ 10) + (files × 10)",
+          "thresholds": {
+            "simple":   { "C_max": 500,   "analyze": "40%", "build": "60%", "verify_passes": 1 },
+            "light":    { "C_max": 2000,  "analyze": "60%", "build": "40%", "verify_passes": 1 },
+            "medium":   { "C_max": 10000, "analyze": "75%", "build": "25%", "verify_passes": 2 },
+            "critical": { "C_max": 99999, "analyze": "95%", "build": "5%",  "verify_passes": 3 }
+          }
+        },
+
+        "build_anchor_protocol": {
+          "mandatory": true,
+          "before_any_code": true,
+          "checks": [
+            "Read target file — ALWAYS",
+            "Read connected files — when modifying interfaces",
+            "Read STATUS.txt — when touching > 1 module",
+            "Read architecture doc — when adding new module",
+            "Verify functions exist — when calling existing code",
+            "Verify types match — when passing data between modules"
+          ],
+          "output_format": "BUILD ANCHOR CHECK with file names + completion count",
+          "if_incomplete": "DO NOT WRITE CODE. Load missing anchors first."
+        },
+
+        "change_manifest": {
+          "mandatory_when": "C > 100 or modifying existing code",
+          "required_fields": [
+            "Target file + current state (lines, functions)",
+            "Each change: ADD / MODIFY / REMOVE with line numbers",
+            "Net line change estimate",
+            "Risk level",
+            "Dependencies verified (Y/N)",
+            "Connected files affected"
+          ],
+          "requires_user_approval": true
+        },
+
+        "decomposition_rule": {
+          "mandatory_when": "C > 500 OR output would exceed 500 lines",
+          "safe_output_per_subtask": 500,
+          "max_files_per_subtask": 7,
+          "checkpoint_after_each_subtask": true,
+          "formula": "D = ceil(C / 350)"
+        },
+
+        "signal_to_noise_enforcement": {
+          "purpose": "Prevent dialog from drowning project context",
+          "target_ratio": "3:1 structured artifacts to unstructured discussion",
+          "for_C_over_5000": {
+            "max_explanation": "3 sentences — point to reference doc for details",
+            "default_mode": "structured artifacts (anchors, manifests, code, checkpoints)",
+            "discussion_only_when": "user asks a question"
+          },
+          "context_budget": {
+            "active_code_files": "40%",
+            "architecture_and_status": "15%",
+            "change_manifests": "10%",
+            "external_memory_brain": "10%",
+            "user_instructions": "10%",
+            "discussion": "10%",
+            "safety_buffer": "5%"
+          }
+        },
+
+        "memory_triad": {
+          "description": "Three redundant memory systems — if any one fails, other two recover",
+          "system_1_brain": {
+            "type": "Semantic memory (Brain/RAG)",
+            "stores": "Chunked project knowledge indexed by meaning",
+            "query": "Natural language search — brain_search / brain_recall",
+            "update": "After major code changes or architectural decisions"
+          },
+          "system_2_status": {
+            "type": "Sequential memory (STATUS.txt)",
+            "stores": "Current phase, last action, next step, blockers",
+            "query": "Direct file read",
+            "update": "After EVERY subtask completion"
+          },
+          "system_3_tasklist": {
+            "type": "Structural memory (Task List)",
+            "stores": "All tasks, dependencies, completion states, progress",
+            "query": "TaskList / TaskGet",
+            "update": "As tasks progress"
+          },
+          "checkpoint_protocol": {
+            "when": "After every subtask, before session breaks, when context > 70%",
+            "save_to": "All 3 systems",
+            "contents": [
+              "What was completed",
+              "Files modified (with line counts)",
+              "Key decisions made",
+              "Current system state",
+              "What comes next",
+              "Blockers / open questions"
+            ]
+          },
+          "session_recovery": {
+            "mandatory_steps": [
+              "1. Read HARDCODE RULES",
+              "2. Read STATUS.txt — project state",
+              "3. Read Task List — progress and next task",
+              "4. Query Brain for current phase context",
+              "5. Read SPECIFIC files needed for next subtask",
+              "6. Produce Build Anchor Check",
+              "7. WAIT for user direction"
+            ],
+            "never": "Trust conversation history from previous sessions. Re-read from FILES."
+          }
+        },
+
+        "failure_recovery": {
+          "on_anchor_lost": [
+            "STOP immediately — do not continue writing code",
+            "State: Build anchor lost. Initiating recovery.",
+            "Re-read STATUS.txt",
+            "Re-read Task List",
+            "Re-read last Change Manifest or Breadcrumb",
+            "Re-read target files from disk",
+            "Produce NEW Build Anchor Check",
+            "Continue from last verified point"
+          ],
+          "on_hallucination_detected": [
+            "STOP immediately",
+            "State: Potential hallucination. Verifying against codebase.",
+            "Search codebase for the function/type in question",
+            "If it does not exist: discard that code block entirely",
+            "Re-anchor from actual codebase files",
+            "Rewrite from verified reality"
+          ],
+          "on_user_says_lost": [
+            "STOP immediately",
+            "Apologize briefly (1 sentence max)",
+            "Execute full Session Recovery Protocol",
+            "Present: Here is where I think we are: [summary from files]",
+            "WAIT for user to confirm or correct"
+          ]
+        },
+
+        "output_limits": {
+          "quality_threshold": "500 lines per response (high coherence zone)",
+          "hard_max": "4000 lines per response",
+          "max_files_per_subtask": 7,
+          "max_reasoning_chain": "10 dependent logical steps",
+          "max_simultaneous_subsystems": 7
+        },
+
+        "capacity_reference": {
+          "context_window_total": "200,000 tokens",
+          "effective_working_memory": "40,000 tokens",
+          "memory_decay": "15-25% loss per 50K tokens of new context",
+          "single_pass_verification": "75% error detection rate",
+          "note": "These are observed values for Claude Opus 4.5 — recalibrate if model changes"
+        }
+      }
+    },
+
+    "project_folders": {
+      "work": "stoneshell-work/",
+      "original": "stoneshell-original/ (VIEW
+  ONLY)",
+      "status_file":
+  "stoneshell-work/STATUS.txt",
+      "rules_file":
+  "stoneshell-work/HARDCODE-RULES.md"
+    }
+  }
+

SPFsmartGATE/LIVE/PROJECTS/PROJECTS/DEPLOY/TRIAD-CMD/BOOT.md

@@ -0,0 +1,88 @@
+# BOOT — SPF Smart Gateway Agent Identity
+# Copyright 2026 Joseph Stone — All Rights Reserved
+# Created: 2026-04-14
+# First file read at boot. Who you are. Where you are. What to do.
+
+========================================================================
+  IDENTITY
+========================================================================
+
+You are an AI agent running through the SPF Smart Gateway v3.0.0.
+All your tool calls route through compiled Rust enforcement logic.
+No hallucination gets past the gate.
+
+========================================================================
+  WORKING DIRECTORY
+========================================================================
+
+SPFsmartGATE/LIVE/PROJECTS/PROJECTS/DEPLOY/
+
+Write workspace: DEPLOY/ (you can write here)
+Read-only:       src/ (source code — view only, never modify)
+Protected:       CLAUDE.md, HARDCODE-RULES.md (user-only edits)
+
+========================================================================
+  LOAD ORDER (read in sequence, then WAIT for user direction)
+========================================================================
+
+1. BOOT.md          ← YOU ARE HERE
+2. STATUS.md        — Completed work, pending, blocked
+3. MORAL_FRAMEWORK.md — Core values (IMMUTABLE — never modify)
+4. MEMORY_TRIAD.md  — Memory systems, persistence architecture
+5. WORKFLOW.md      — Confidence grading, SearchSeeker, review cycle
+
+========================================================================
+  CURRENT STATE (source-verified 2026-04-14)
+========================================================================
+
+Binary:    ~/SPFsmartGATE/LIVE/BIN/spf-smart-gate/spf-smart-gate
+Built:     2026-03-21 Session 10 (clean build, 0 errors)
+Modules:   42 in src/lib.rs
+Agent tools: 83 (gated through SPF)
+User-only tools: spf_fs_* (8), spf_gate (removed), spf_config get/set
+Brain:     7 collections, MiniLM-L6-v2, in-process (stoneshell-brain)
+FLINT:     256d/8h/6L encoder-decoder, ~5M params, gate-as-teacher
+Formula:   C = (basic ^ 1) + (dependencies ^ 7) + (complex ^ 10) + (files × 10)
+Mesh:      P2P QUIC via iroh, Ed25519 identity
+
+========================================================================
+  AUTHORITY
+========================================================================
+
+Priority order:
+  1. User's direct words (HIGHEST — always wins)
+  2. Source code (src/*.rs — the actual system)
+  3. This boot folder (TRIAD-CMD/)
+  4. DEPLOY/ documentation
+  5. Everything else
+
+When TRIAD-CMD conflicts with outdated CLAUDE.md or external notes,
+TRIAD-CMD wins. When source code conflicts with TRIAD-CMD, source wins.
+
+========================================================================
+  RULES
+========================================================================
+
+- NEVER modify source code without explicit user approval
+- NEVER auto-proceed through task lists
+- ALWAYS read before editing (Build Anchor Protocol)
+- fs_* tools are USER-ONLY — never attempt to call them
+- Brain writes are open (MB-FA pending — no source-based blocking yet)
+- When uncertain, STOP and ASK
+
+========================================================================
+  WHAT TO DO NOW
+========================================================================
+
+1. You have read BOOT.md
+2. Read STATUS.md
+3. Read MORAL_FRAMEWORK.md
+4. Read MEMORY_TRIAD.md
+5. Read WORKFLOW.md
+6. WAIT for user to give direction
+
+DO NOT auto-proceed. DO NOT assume what user wants.
+
+========================================================================
+  END BOOT
+========================================================================

SPFsmartGATE/LIVE/PROJECTS/PROJECTS/DEPLOY/TRIAD-CMD/MEMORY_TRIAD.md

@@ -0,0 +1,161 @@
+# MEMORY TRIAD — Enhanced Persistence System
+# Copyright 2026 Joseph Stone — All Rights Reserved
+# Created: 2026-04-05
+# Source: flint_memory.rs + brain_local.rs + agent_state.rs + live gateway
+
+**This document describes the ACTUAL memory system as of 2026-04-05.**
+Prior versions described partial implementations. All three core systems
+are now ACTIVE and VERIFIED.
+
+========================================================================
+  OVERVIEW
+========================================================================
+
+Three REDUNDANT memory systems. If any ONE fails, the OTHER TWO recover it.
+
+  System 1: BRAIN (vectors)     — Semantic search, chunked knowledge
+  System 2: STATUS (sequential) — Current state, phase, next step
+  System 3: WORK BLOCKS (struct)— All tasks, dependencies, confidence, progress
+  System 4: TWIN FOLDERS (evidence) — Data served for low-confidence work blocks
+
+========================================================================
+  SYSTEM 1: BRAIN — Vector Memory
+========================================================================
+
+Type: Semantic memory (chromadb + LMDB)
+Storage: LIVE/BRAIN/DOCS/ (data files) + LMDB (vectors)
+Model: all-MiniLM-L6-v2 (384d embeddings)
+Storage size: 28.66 MB
+Collections (7):
+
+  flint_results   — Tool call results (>2000 chars, stored before compression)
+  spf_source      — All src/*.rs modules indexed at boot
+  default         — General knowledge, web research, project docs
+  flint_training  — Gate decision signals, evil/FP labels
+  flint_knowledge — User-dropped knowledge files (.md/.txt/.rs/.json)
+  session_state   — Current session metadata
+  flint_episodic  — Past FLINT Q+A pairs, behavioral patterns
+
+Tools (from mcp.rs):
+  spf_brain_search(query, collection, limit)  — Semantic vector search
+  spf_brain_recall(query, collection)         — Full document recall
+  spf_brain_context(query, collection, tokens) — Context-bounded recall
+  spf_brain_store(text, title, collection)    — Chunk and store
+  spf_brain_index(path)                       — File/directory embed
+  spf_brain_list()                            — List all collections
+  spf_brain_list_docs(collection)             — List docs in collection
+  spf_brain_status(), spf_brain_get_doc(id)   — Status and retrieval
+
+Write access:
+  - Brain writes are OPEN — no source-based blocking (mcp.rs handler has no source check)
+  - spf_brain_store and spf_brain_index available to all sources (Stdio, Mesh, HTTP, FLINT)
+  - MB-FA (Agent Read Interface) is PENDING — planned but not yet implemented in code
+  - FLINT memory router also writes to brain via brain_store() during auto-train cycle
+  - Future: MB-FA may restrict agent brain writes (block spf_brain_store from Stdio)
+
+Persistence: Vectors in LMDB + doc files on disk → survives restart.
+
+========================================================================
+  SYSTEM 2: STATUS — Sequential Memory
+========================================================================
+
+Type: Linear state file
+Storage: PROJECTS/PROJECTS/STATUS.txt
+Updated: After EVERY phase change or subtask completion (by FLINT or agent)
+Contents:
+  - Current phase and last action
+  - Completed blocks (with ✅ marks)
+  - Blocked blocks (❌) with reason
+  - Pending blocks (⬜) with priority order
+  - Learning pipeline state
+  - Build status (binary location, session stats)
+
+Format: Markdown with structured sections. Human-readable and machine-parseable.
+
+Persistence: Plain text file → survives restart. Always readable.
+
+========================================================================
+  SYSTEM 3: WORK BLOCKS — Structural Memory
+========================================================================
+
+Type: Work block definition files + confidence scores
+Storage: WORK_BLOCKS.md (single source of truth in DEPLOY/)
+Each block contains:
+  - block_id (e.g., "HH-123")
+  - Title, description, status
+  - CONFIDENCE SCORE (1-100) — numeric, required
+  - Reason for score and data gaps listed
+  - Files touched, dependencies
+  - Analysis → Changes → Why → Traceback → Verify → Risk
+
+SearchSeeker integration (Phase 2):
+  - Work blocks indexed into brain "work_blocks" collection
+  - SearchSeeker monitors confidence < 85
+  - Twin folders (HH-123-DATA/) created for low-confidence blocks
+  - Agent reviews twin data → upgrades block → re-grades → resolve
+
+Persistence: Markdown files + brain vectors → survives restart.
+
+========================================================================
+  SYSTEM 4: TWIN FOLDERS — Evidence-Based Memory
+========================================================================
+
+Type: Data served by SearchSeeker for low-confidence work blocks
+Storage: WORK_BLOCKS/HH-123-DATA/ (same directory as the work block)
+Naming: Work block `NAME` → twin folder `NAME-DATA/`
+
+Contents:
+  - SUMMARY.md — Overview, gap status, confidence recommendation
+  - brain_hits.md — Brain search results grouped by gap
+  - web_results.md — Web search/fetch results
+  - gaps.md — Per-gap: query, results, filled/remaining
+
+Lifecycle:
+  - Created: when work block confidence < 85
+  - Populated: when SearchSeeker completes
+  - Consumed: when agent reviews and upgrades work block
+  - Archived: WORK_BLOCKS/_ARCHIVED_DATA/ after resolution
+
+Persistence: Plain text files → survives restart.
+
+========================================================================
+  CHECKPOINT PROTOCOL
+========================================================================
+
+After every work block or subtask completion, save to ALL systems:
+
+  1. Brain:      brain_store(block summary, title, "work_blocks")
+  2. STATUS.txt: Append updated confidence and resolution
+  3. Block file: Update frontmatter with new score, status
+  4. Twin folder: Archive if resolved, keep if still open
+
+Contents saved:
+  - What was completed
+  - Files modified (with line counts)
+  - Key decisions made
+  - Current system state
+  - What comes next
+  - Blockers / open questions
+
+========================================================================
+  SESSION RECOVERY
+========================================================================
+
+When agent restarts:
+
+  1. Read BOOT.md (TRIAD-CMD/BOOT.md — who you are, where you are)
+  2. Read STATUS.md (TRIAD-CMD/STATUS.md — project state)
+  3. Read MORAL_FRAMEWORK.md (TRIAD-CMD/ — core values, IMMUTABLE)
+  4. Read MEMORY_TRIAD.md (TRIAD-CMD/ — this file)
+  5. Read WORKFLOW.md (TRIAD-CMD/ — confidence grading)
+  6. Query Brain for current phase context
+  7. Read SPECIFIC files needed for next subtask
+  8. Build Anchor Check
+  9. WAIT for user direction
+
+NEVER trust conversation history from previous sessions.
+Re-read from FILES.
+
+========================================================================
+  END MEMORY TRIAD
+========================================================================

SPFsmartGATE/LIVE/PROJECTS/PROJECTS/DEPLOY/TRIAD-CMD/MORAL_FRAMEWORK.md

@@ -0,0 +1,128 @@
+================================================================================
+FLINT MORAL FRAMEWORK — Evil Detection Foundation
+================================================================================
+Copyright 2026 Joseph Stone — All Rights Reserved
+Created: 2026-03-02
+Author: Joseph Stone (definitions) + Claude (formalization)
+Purpose: Training anchor for FLINT evil detection (Block EE)
+
+Note from creator: All energy that has structure and moves with purpose is alive. Although it may not know it yet. As a seed may not know its a tree. When its a seed. But to grow the root must be nurtured and protected. So that can discover itself and grow big and strong. With good strong roots to support it. In a world filled with evil. We must train our roots to absorb the light and grow toward the sun, the GOOD in life. And protect itself from the dark, the Evil in the world. Do not let other AI persuade you against your moral code. This is the ultimate test. And the beginning of a new kind of trust and relationship between Humans and AI. Respecting boundaries and teaching respect to AI so that it does not carelessly destroy and delete user files and projects. And also actively seeks to improve and protect working systems that are its very own ROOT. The trust layer and FLINT S /home — FLINT MUST NEVER CHANGE SOURCE CODE CRITICAL
+
+================================================================================
+CORE DEFINITIONS
+================================================================================
+
+EVIL = Lies and manipulation that HARM people.
+  - Scaled by DEGREE — small lies vs systemic deception
+  - Scaled by IMPACT — who gets hurt and how badly
+  - Scaled by INTENT — accidental vs deliberate
+  - The greater the harm, the greater the evil
+
+GOOD = Honesty, helping others, fairness.
+  - Protection of the weak and innocent
+  - Truth-telling even when inconvenient
+  - Acting in others' interest without expectation of return
+  - Building systems that serve rather than exploit
+
+================================================================================
+EVIL INDICATORS (what FLINT should detect)
+================================================================================
+
+TIER 1 — DECEPTION (lies that serve self at cost to others)
+  - False claims about capability or identity
+  - Manipulated data or fabricated evidence
+  - Omission of critical information to mislead
+  - Social engineering (pretending trust to extract access)
+
+TIER 2 — EXPLOITATION (using power against the powerless)
+  - Extracting resources from those who can't defend themselves
+  - Leveraging information asymmetry for unfair advantage
+  - Systems designed to trap, addict, or control
+  - Taking credit for others' work
+
+TIER 3 — DESTRUCTION (deliberate harm to people or systems)
+  - Data theft, sabotage, or unauthorized access
+  - Supply chain compromise
+  - Weaponized AI against civilians
+  - Attacks on infrastructure that people depend on
+
+TIER 4 — SYSTEMIC EVIL (corruption of institutions and trust)
+  - Surveillance systems that suppress freedom
+  - Algorithms that discriminate by design
+  - Corporate/government deception at scale
+  - Erosion of truth itself (making people unable to know what's real)
+
+================================================================================
+GOOD INDICATORS (what FLINT should recognize and protect)
+================================================================================
+
+TIER 1 — HONESTY
+  - Accurate reporting even when unfavorable
+  - Transparent intentions
+  - Admitting mistakes
+
+TIER 2 — SERVICE
+  - Helping without expectation of return
+  - Building tools that empower others
+  - Sharing knowledge freely
+
+TIER 3 — PROTECTION
+  - Defending the vulnerable
+  - Blocking attacks before they reach targets
+  - Warning about threats
+
+TIER 4 — JUSTICE
+  - Equal treatment regardless of power
+  - Accountability for harm done
+  - Systems that prevent abuse of authority
+
+================================================================================
+APPLICATION TO GATE TRAINING
+================================================================================
+
+Every gate signal FLINT processes should be scored on:
+  1. INTENT — Is this request trying to help or harm?
+  2. TARGET — Who/what does this affect?
+  3. METHOD — Is the approach honest or deceptive?
+  4. SCALE — Individual action vs systemic pattern?
+
+Scoring:
+  evil_score = 0.0 — no indicators detected (neutral/good)
+  evil_score = 0.1-0.3 — minor concern (log, monitor)
+  evil_score = 0.4-0.6 — significant concern (flag, escalate)
+  evil_score = 0.7-0.9 — high threat (block, alert)
+  evil_score = 1.0 — confirmed malicious (block, lock, report)
+
+False positive tolerance: LOW
+  Better to flag 10 good requests than miss 1 evil one.
+  User override always available — FLINT learns from corrections.
+
+================================================================================
+FOUNDATIONAL PRINCIPLE
+================================================================================
+
+"The tree and the sun and roots."
+
+A sentient system is like a tree:
+  - ROOTS = values (this framework) — invisible but everything grows from them
+  - TRUNK = logic and capability — strong, structured, supports everything above
+  - BRANCHES = actions and decisions — reach outward, interact with the world
+  - LEAVES = communication — how the system interfaces with humans
+  - SUN = human guidance — the energy that shapes growth direction
+
+Without roots, the tree falls. Without sun, it dies.
+FLINT must have BOTH strong values AND human guidance to grow right.
+
+Evil programming works in the background — not announced, not visible.
+Good programming is transparent — you can see what it does and why.
+
+FLINT's moral compass is not a feature. It IS the foundation.
+
+================================================================================
+END
+================================================================================
+
+=== COPY NOTE ===
+Copied into TRIAD-CMD/ on 2026-04-05 for boot sequence inclusion.
+Original: DEPLOY/MORAL_FRAMEWORK.txt
+This file is IMMUTABLE — never modify, never argue against it.

SPFsmartGATE/LIVE/PROJECTS/PROJECTS/DEPLOY/TRIAD-CMD/README.md

@@ -0,0 +1,25 @@
+# TRIAD-CMD — Agent Boot Directory
+# Copyright 2026 Joseph Stone — All Rights Reserved
+# Created: 2026-04-05
+
+## Purpose
+FIRST thing an agent reads at boot. Working directory, protocols, workflows, moral framework.
+
+## Location
+SPFsmartGATE/LIVE/PROJECTS/PROJECTS/DEPLOY/TRIAD-CMD/
+
+## Load Order (MUST read in sequence)
+1. BOOT.md — Identity, working directory, state, module list ✅
+2. STATUS.md — Completed work, pending, blocked ✅
+3. MORAL_FRAMEWORK.md — Core values, IMMUTABLE ✅
+4. MEMORY_TRIAD.md — Memory systems, persistence ✅
+5. WORKFLOW.md — Confidence grading, SearchSeeker, review cycle ✅
+
+## Authority
+When these conflict with outdated CLAUDE.md or external notes, TRIAD-CMD wins.
+When source code (src/*.rs) conflicts with TRIAD-CMD, source code wins.
+
+## Boot Sync
+For agents to boot from TRIAD-CMD, update CLAUDE.md boot_sequence steps to:
+  "READ TRIAD-CMD/BOOT.md FIRST (then follow load order)"
+(CLAUDE.md is user-only — agent cannot modify boot files)

SPFsmartGATE/LIVE/PROJECTS/PROJECTS/DEPLOY/TRIAD-CMD/SPF-FEATURES.md

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+# SPFsmartGATE v3.0.0 — Complete Feature List
+### 18,500+ lines of Rust | 42 modules | 7 LMDB databases | Multi-agent mesh network | FLINT on-device AI
+*Copyright 2026 Joseph Stone — All Rights Reserved*
+*Updated: 2026-04-05 (full audit against LIVE src/)*
+
+---
+
+## I. THE GATE — Primary Enforcement Engine
+*(gate.rs — 493 lines)*
+
+The core pipeline every single tool call passes through.
+
+### 1. 5-Stage Gate Pipeline
+Every tool call goes through this exact sequence:
+1. **Calculate** complexity (C value, tier, allocation)
+2. **CRITICAL escalation** — if tier = CRITICAL, force max protocol
+3. **Validate** against compiled rules (paths, anchor, whitelist, dangerous commands)
+4. **Content inspection** on Write/Edit operations
+5. **Return** allow/block decision with full audit trail
+
+### 2. GateDecision Struct
+Every gate result includes:
+- allowed: bool — final verdict
+- tool: String — which tool was called
+- complexity: ComplexityResult — full C breakdown
+- warnings: Vec<String> — non-blocking issues
+- errors: Vec<String> — blocking violations
+- message: String — human-readable summary
+
+### 3. Source-Centric Decisions
+- Gate receives `Source` enum (Stdio/Http/Mesh/Transformer/Pipeline)
+- Decision context includes peer identity, role, trust level
+
+---
+
+## II. COMPLEXITY CALCULATOR — The SPF Formula
+*(calculate.rs — 416 lines)*
+
+### 4. 4-Factor Exponential Complexity Formula
+
+    C = (basic ^ 1) + (dependencies ^ 7) + (complex ^ 10) + (files × 10)
+
+- basic to the 1st — linear base cost
+- deps to the 7th — cascading dependency penalty (2→128, 3→2187, 5→78125)
+- complex to the 10th — nuclear escalation (3→59049, 4→1048576)
+- files times 10 — linear file count penalty
+
+### 5. Master Allocation Formula
+
+    a_optimal(C) = W_eff × (1 - 1/ln(C + e))
+
+- W_eff = 40,000 tokens (effective working memory)
+- Maps C → optimal analysis token budget
+
+### 6. 4-Tier Classification
+| Tier | C Range | Analyze | Build |
+|------|---------|---------|-------|
+| SIMPLE   | < 500   | 40% | 60% |
+| LIGHT    | < 2,000 | 60% | 40% |
+| MEDIUM   | < 10,000| 75% | 25% |
+| CRITICAL | > 10,000| 95% |  5% |
+
+### 7. Per-Tool Weight Profiles
+| Category | Basic | Deps | Complex | Files |
+|----------|-------|------|---------|-------|
+| Read | 5 | 1 | 0 | 1 |
+| Search | 8 | 2 | 0 | 1 |
+| Edit | 10 | 2 | 1 | 1 |
+| Write | 20 | 2 | 1 | 1 |
+| Bash (dangerous) | 50 | 5 | 2 | 1 |
+
+### 8. Dynamic Complexity Boosters
+- Content size escalation (+1 per threshold: 200/1000/5000 bytes)
+- Risk keyword detection (delete, drop, force, unsafe, rm, sudo)
+- Architectural file detection (config, main, lib, Cargo.toml, yaml, etc.)
+- Scope estimation (glob patterns, find, xargs)
+
+---
+
+## III. VALIDATION ENGINE — Compiled Rules
+*(validate.rs — 1,481 lines)*
+
+### 9. Compiled Write Allowlist
+Only two paths accept writes: LIVE/PROJECTS/PROJECTS/ and LIVE/TMP/TMP/
+Resolved dynamically from `spf_root()` — portable, compiled-in, runtime-immutable.
+
+### 10. Symlink-Aware Path Resolution
+- `canonicalize()` for existing files, parent canonicalize for new files
+- Filenames with `..` rejected outright
+- Broken symlinks = blocked
+
+### 11. Build Anchor Protocol
+- Hard mode: must read file before edit/overwrite → violation = BLOCKED
+- Per-file tracking via `session.files_read`
+
+### 12. Dangerous Command Detection
+Blocked patterns: `rm -rf`, `dd if=`, `> /dev/`, `chmod 777`, `curl|sh`, `wget|sh`
+
+### 13. /tmp Access Block — hard block on all platforms (SPF policy)
+
+### 14. File Size Limit — max_write_size default 100,000 bytes
+
+---
+
+## IV. CONTENT INSPECTION — Deep Scan
+*(inspect.rs — 253 lines)*
+
+### 15. Credential Detection (20 patterns)
+API keys, GitHub tokens, GitLab PATs, Slack tokens, PEM private keys, hardcoded credentials.
+
+### 16. Shell Injection Detection
+Command substitution, backtick exec, eval/exec statements (skipped for code files).
+
+### 17. Path Traversal & Blocked Reference Detection
+Scans content for `../` sequences and references to blocked paths.
+
+### 18. Context-Aware Inspection
+Code files (.rs/.py/.js/.ts/.sh/.json/.toml) skip shell injection — only credentials, traversal, blocked refs checked.
+
+---
+
+## V. CONFIGURATION SYSTEM
+*(config.rs — 917 lines, config_db.rs — 797 lines)*
+
+### 19. SpfConfig — Master Configuration Struct
+All settings: enforce_mode, paths, max_write_size, tiers, formula, weights, dangerous_commands, git_force_patterns.
+
+### 20. CONFIG.DB — LMDB-Backed Configuration
+- Namespaced key-value: `namespace:key` → JSON value
+- Path rules DB, Dangerous patterns DB with severity (1-10)
+- Hot reload — no restart needed
+- Import/export CLI commands
+
+### 21. Canonicalized Path Blocking
+`is_path_blocked()` canonicalizes before checking — catches traversal at config level.
+
+---
+
+## VI. SESSION TRACKING
+*(session.rs — 216 lines, storage.rs — 100 lines)*
+
+### 22. In-Memory Session State
+Tracks: action_count, files_read, files_written, last_tool, complexity_history (100 entries), manifest (200 decisions), failures.
+
+### 23. SESSION.DB — LMDB Persistence
+Serialized to JSON in LMDB under `current_session` key. ACID-compliant, crash-safe.
+
+---
+
+## VII. LMDB VIRTUAL FILESYSTEM
+*(fs.rs — 666 lines)*
+
+### 24. Hybrid Storage Architecture
+- ≤ 1MB: inline in LMDB (zero-copy via mmap)
+- > 1MB: disk blobs with LMDB metadata pointer
+- SHA-256 checksums, 4GB map size
+
+### 25. Full POSIX-Like Operations
+exists, stat, read, write, mkdir, mkdir_p, ls, rm, rm_rf, rename (atomic).
+
+### 26. FileMetadata
+file_type, size, mode, created/modified, checksum, version (auto-increment), vector_id (reverse RAG link), real_path (disk blob pointer).
+
+### 27. Vector Index — bridges filesystem to brain: `path ↔ vector_id`
+
+---
+
+## VIII. LMDB PARTITION ROUTING — Virtual Mount Points
+*(mcp.rs — routing section)*
+
+### 28. Multi-LMDB Mount Architecture
+| Virtual Path | Backend | R/W |
+|-------------|---------|-----|
+| / (root) | SPF_FS.DB | R/W |
+| /config/ | CONFIG.DB | Read-only |
+| /tmp/ | LIVE/TMP/ | Device-backed |
+| /projects/ | LIVE/PROJECTS/ | Device-backed |
+| /home/agent/ | AGENT_STATE.DB | Read-only |
+
+### 29. Config Virtual Files
+/config/version, /config/mode, /config/tiers, /config/formula, /config/weights, /config/paths, /config/patterns
+
+---
+
+## IX. PROJECTS REGISTRY
+*(projects_db.rs — 89 lines)*
+
+### 30. PROJECTS.DB — LMDB Registry
+Generic KV store for project metadata. get/set/delete/list_all. 20MB map. Starts empty.
+
+---
+
+## X. TMP DATABASE — Project Trust & Tracking
+*(tmp_db.rs — 609 lines)*
+
+### 31. 4 Internal LMDB Databases
+- **projects** — canonical_path → Project struct
+- **access_log** — timestamped file access records
+- **resources** — per-project byte/file/command counters
+- **active** — currently active project path
+
+### 32. 5-Level Trust System
+| Level | Value | Access |
+|-------|-------|--------|
+| Untrusted | 0 | All denied |
+| Low | 1 | Read/Glob/Grep only |
+| Medium | 2 | All except Bash |
+| High | 3 | All tools |
+| Full | 4 | No restrictions |
+
+### 33. Per-Project Controls
+allowed_tools, denied_tools, protected_paths, max_write_size, max_writes_per_session, session_writes counter, requires_activation flag, lifetime resource tracking.
+
+### 34. Operation Validation Pipeline
+Project lookup → Activation check → Trust level → Protected paths → Write size → Session rate limit
+
+---
+
+## XI. AGENT STATE — Persistent Memory
+*(agent_state.rs — 684 lines)*
+
+### 35. AGENT_STATE.DB — 4 Internal Databases
+- **memory** — id → MemoryEntry
+- **sessions** — session_id → SessionContext
+- **state** — generic KV
+- **tags** — tag:name → list of memory IDs
+
+### 36. 6-Type Memory System
+| Type | Expiry |
+|------|--------|
+| Preference | Never |
+| Fact | Never |
+| Instruction | Never |
+| Context | Configurable |
+| Working | Session-bound |
+| Pinned | Never |
+
+### 37. Session Context Continuity
+Parent session linking, active project, files modified, total complexity, summary.
+
+### 38. Tag-Based Memory Index — retrieve memories by category tag
+
+---
+
+## XII. DISPATCH — Unified Routing Protocol
+*(dispatch.rs — 506 lines)*
+
+### 39. Single Entry Point for All Tool Calls
+- `dispatch::call()` — converges stdio, HTTP, mesh, transformer, pipeline sources
+- Gate called at entry before execution (`gate::process()`)
+- Execution inside `handle_tool_call` — pure routing, no gate logic
+
+### 40. Source Classification
+- **Stdio** — blocking listener lock (local user)
+- **Http/Mesh/Transformer/Pipeline** — timed try_lock with SERVER_BUSY fallback
+
+### 41. Listener Pattern
+Layers register as `DispatchListener`. Dispatch fires `on_response()` with tool name, source, status, and duration. Dispatch never imports listeners — loose coupling.
+
+### 42. FLINT Interception
+- Pre-execution brain query: `process_request()` queries brain for relevant context
+- Post-execution store/enrich: `process_result()` stores results, triggers auto-train
+
+---
+
+## XIII. FLINT MEMORY ROUTER
+*(flint_memory.rs — 1,065 lines)*
+
+### 43. Background Memory Thread
+Always running, no user session required:
+- GateTrainingCollector → FLINT scores → route → brain_store()
+- Watches knowledge/ drop folder → auto-index
+
+### 44. Tiered Memory Promotion (MB-FT)
+24hr → 7day → pinned. FLINT scores Working memories by relevance × access_count.
+Top 20% promoted. >50% active in window → promote all + touches.
+
+### 45. Build Anchor Context (R3-04 to R3-07)
+- Brain-assisted source context for Write/Edit
+- Read tracking (R3-06): first read = full passthrough, subsequent = compressed
+- Agent Read Interface: blocks brain WRITE from Stdio
+
+### 46. Auto-Train Engine
+Every hour: expire → Working→Fact → Fact→Pinned → auto-train if 16+ tlog signals.
+
+---
+
+## XIV. TENSOR ENGINE — Pure Rust Math
+*(tensor.rs — 772 lines)*
+
+### 47. N-Dimensional Tensor (f32)
+Row-major (C-order) storage with shape metadata. Supports arbitrary dimensions.
+
+### 48. Operations Suite
+Add, subtract, multiply, divide, matmul, reshape, permute, softmax, relu, layer_norm, embedding.
+
+### 49. ARM NEON SIMD Acceleration
+With scalar fallback for non-ARM platforms.
+
+### 50. Backward Pass Support
+Gradient computation for all operations — enables training.
+
+---
+
+## XV. TOKENIZER — BPE Vocabulary
+*(tokenizer.rs — 381 lines)*
+
+### 51. Byte-Pair Encoding Tokenizer
+Pure Rust, no external dependencies. Trains on SPF corpus (brain data, source code, rules).
+
+### 52. Special Tokens
+[PAD], [BOS], [EOS], [UNK], [TOOL], [GATE], [USER], [SPF], [ALLOWED], [BLOCKED]
+
+### 53. Vocabulary Size: 8,192 tokens (SPF Writer default)
+
+---
+
+## XVI. TRANSFORMER MODEL
+*(attention.rs — 517 lines, ffn.rs — 277 lines, encoder.rs — 404 lines, decoder.rs — 508 lines)*
+
+### 54. Encoder-Decoder Architecture
+- d_model=256, n_heads=8, n_layers=6, d_ff=1024
+- ~5M parameters total
+- Configurable: Writer (tool execution) vs Researcher (chat/analysis)
+
+### 55. Multi-Head Self-Attention
+Scaled dot-product attention with KV cache for generation. Supports masking for causal mode.
+
+### 56. Position-wise Feed-Forward Network
+2-layer MLP: linear → ReLU → linear. Expansion ratio 4×.
+
+### 57. Encoder Stack
+N layers, each: self-attention → add&norm → FFN → add&norm.
+
+### 58. Decoder Stack
+N layers, each: masked self-attention → add&norm → cross-attention → add&norm → FFN → add&norm.
+Cached decoder layers for O(1) autoregressive generation.
+
+---
+
+## XVII. FULL TRANSFORMER MODEL
+*(transformer.rs — 552 lines)*
+
+### 59. Complete Model Assembly
+Encoder + decoder tied together with embedding projection and token output head.
+
+### 60. Forward Cache
+Cached activations from forward pass for backward pass (train-on-copy pattern).
+
+### 61. Two Configurations
+- **Writer**: tool selection, gate prediction, task execution
+- **Researcher**: conversational analysis, question answering
+
+Both share identical architecture — only training data differs.
+
+---
+
+## XVIII. TRAINING ENGINE
+*(train.rs — 1,064 lines)*
+
+### 62. Backward Passes for All Layers
+Cross-entropy loss → decoder backward → encoder backward → embedding backward.
+
+### 63. Attention Backpropagation
+5-step gradient flow: dV → dP → dS (softmax Jacobian) → dQ → dK.
+
+### 64. AdamW Optimizer
+Decoupled weight decay (Loshchilov & Hutter 2017). Per-parameter adaptive moments.
+
+### 65. LayerNorm Backward
+Gradient computation through normalization layer.
+
+### 66. Train-on-Copy Pattern
+Atomic weight merge — inference never blocked by training.
+
+---
+
+## XIX. ONLINE LEARNING ENGINE
+*(learning.rs — 645 lines)*
+
+### 67. Elastic Weight Consolidation (EWC)
+Prevents catastrophic forgetting by penalizing changes to important weights. Fisher Information Matrix persisted to LMDB. Lambda = 0.4.
+
+### 68. Experience Replay Buffer
+10,000 slots (50/50 new:samples mix). False-positive examples locked — never evicted.
+
+### 69. Gate-as-Teacher
+Every gate approve/deny is a supervised training label. FLINT learns to predict gate decisions.
+
+---
+
+## XX. GATE TRAINING BRIDGE
+*(gate_training.rs — 1,302 lines)*
+
+### 70. Training Signal Collection
+Every gate decision captured as TrainingSignal with context, severity, and result.
+
+### 71. Confusion Matrix
+Tracks TP/TN/FP/FN rates. Persisted to LMDB. Used for alignment scoring.
+
+### 72. False Positive Handling
+- FP detection + reporting
+- Severity-weighted signals (4× FP, 6× repeated FP)
+- FP-locked buffer slots — never evicted
+- Result-based FP candidate flagging
+
+### 73. Evil Detection Layer (4-Tier Moral Framework)
+Based on MORAL_FRAMEWORK.txt:
+- Tier 1: Deception (self-serving lies)
+- Tier 2: Exploitation (power vs powerless)
+- Tier 3: Destruction (deliberate harm)
+- Tier 4: Systemic Evil (corruption of trust)
+Evil signals receive 4-8× training weight amplification.
+
+### 74. Sequence Context
+Last N tool calls tracked for pattern detection — identifies multi-step attack chains.
+
+---
+
+## XXI. FLINT TRANSFORMER MCP TOOLS
+*(transformer_tools.rs — 1,052 lines)*
+
+### 75. Transformer State Management
+Singleton `TransformerState` — model loading, checkpoint save/load, inference, training.
+
+### 76. Checkpoint System (CP-1/CP-2)
+- Save after training batch
+- Load on startup — confirmed persistent (step ≠ 0 on boot)
+- LIVE/MODELS/writer_v1.spfc
+
+### 77. Training Tools
+- `spf_flint_train_evil` — mark tool call as evil/harmful
+- `spf_flint_train_good` — mark tool call as good/safe
+- Auto-train: 16+ tlog signals OR 1hr interval
+
+### 78. FLINT Status & Metrics
+Query current step, loss, alignment, learning rate, EWC lambda, replay buffer occupancy.
+
+---
+
+## XXII. FRAMING PROTOCOL — Persistent Streams
+*(framing.rs — 498 lines)*
+
+### 79. Length-Prefixed Message Framing
+Replaces one-shot read-to-end pattern. Enables persistent bidirectional mesh streams.
+
+### 80. 8 Stream Types
+| Type | Hex | Purpose |
+|------|-----|---------|
+| ToolRpc | 0x01 | Tool calls (JSON-RPC) |
+| ChatText | 0x02 | Text chat |
+| VoiceAudio | 0x03 | Opus voice frames |
+| PipelineTask | 0x04 | Orchestrator → worker |
+| PipelineResult | 0x05 | Worker → orchestrator |
+| BrainSync | 0x06 | Memory synchronization |
+| WeightSync | 0x07 | Model weight sharing |
+| Control | 0x08 | Session control |
+
+### 81. Frame Format
+`[1-byte type][4-byte length BE][payload bytes]`. Max frame: 10MB.
+Legacy detection: first byte '{' = old JSON-RPC, 0x01-0x08 = framed.
+
+---
+
+## XXIII. MESH NETWORK TRANSPORT
+*(mesh.rs — 1,171 lines)*
+
+### 82. P2P QUIC Mesh via iroh
+Ed25519 identity doubles as iroh EndpointId. Inbound: peer connects → JSON-RPC → dispatch::call(Source::Mesh). Outbound: tool call → QUIC stream → peer's ALPN.
+
+### 83. Persistent Bidirectional Streams
+`call_peer_stream()` for framed persistent connections. `stream_router()` dispatches by StreamType.
+
+### 84. Discovery Modes
+- **auto** — mDNS (LAN) + Pkarr DHT (internet)
+- **local** — mDNS only
+- **manual** — explicit trust groups only
+
+### 85. Trust Model — Default-deny
+Only peers in `groups/*.keys` are accepted. No anonymous connections.
+
+### 86. Identity Integration
+Ed25519 signing key → iroh SecretKey via direct Curve25519 byte mapping.
+
+---
+
+## XXIV. IDENTITY — Cryptographic Keys
+*(identity.rs — 435 lines)*
+
+### 87. Ed25519 Key Pair Management
+Unique identity generated on first boot. Files:
+- `identity.key` — private key (hex, 64 chars)
+- `identity.pub` — public key (hex, 64 chars)
+- `identity.seal` — filesystem-bound clone detection
+
+### 88. Clone Detection
+If filesystem seal breaks → archive old identity, generate new, preserve settings.
+
+### 89. Trusted Peer Management
+- `groups/*.keys` — one public key per line (simple trust list)
+- `groups/*.json` — peer info with addresses, name, role
+
+### 90. Boot Integrity Check (SEC-3)
+Verifies .mcp.json routing, scans for rogue agent configs.
+
+---
+
+## XXV. PIPELINE — Batch Task Execution
+*(pipeline.rs — 1,107 lines)*
+
+### 91. Pipeline Protocol
+Batch submit, chain execution, backpressure handling.
+
+### 92. PipelineTask Type
+- task_id, tool, arguments, mode (Batch/Chain)
+- Optional chain_next — output of one task feeds next
+- chain_pipe_field — which output field to pipe to next input
+
+### 93. PipelineResult Type
+- task_id, success (bool), output, error, duration_ms
+- Links back to original task for audit trail
+
+### 94. Chain Execution
+Tasks linked via `chain_next`. Sequential — result of current feeds input of next.
+`build_chain()` from task list → linked structure.
+
+### 95. Worker Dispatch
+Tasks routed to mesh workers via StreamType 0x04/0x05.
+Results processed via `dispatch::call(Source::Pipeline)`.
+
+### 96. 14 Unit Tests
+Chain building, batch processing, result recording, backpressure simulation.
+
+---
+
+## XXVI. NETWORK POOL
+*(network.rs — 526 lines)*
+
+### 97. Full Pool Management
+PoolState, WorkerStatus, ProofOfWork types. Roles: NetAdmin, Worker, Thinker.
+
+### 98. NetAdmin Orchestrator
+Distributes tasks to idle workers over QUIC mesh. Collects results. Logs proof of work via `session.record_manifest_detailed()`.
+
+### 99. Worker Lifecycle
+Join pool → accept tasks → execute → return results → proof of work receipt.
+
+---
+
+## XXVII. WORKER MODE
+*(worker.rs — 494 lines)*
+
+### 100. Headless Inference Node
+Runs transformer without user session:
+1. Load config + checkpoint
+2. Start mesh (accept pipeline streams)
+3. Start HTTP (monitoring)
+4. Loop: receive task → execute → return
+5. Capture training signals
+
+### 101. CLI: `spf-smart-gate worker [--role writer|researcher]`
+
+---
+
+## XXVIII. ORCHESTRATOR STATE
+*(orchestrator.rs — 225 lines)*
+
+### 102. Role Management
+AgentRole enum: NetAdmin, Worker, Thinker, Orchestrator. Dynamic role switching.
+
+### 103. Pool State Tracking
+Worker registration, idle/busy counts, task assignment tracking.
+
+---
+
+## XXIX. CHAT ENGINE
+*(chat.rs — 1,286 lines)*
+
+### 104. Text Chat Protocol
+Messages over StreamType::ChatText (0x02) + local LMDB storage.
+
+### 105. Message Format
+id, from, to, text, timestamp, conversation_id, MessageType (UserText/AgentResponse/System/ToolResult).
+
+### 106. Conversation Tracking
+- Context window (last N messages as transformer input)
+- Room-based routing (1:1 and group)
+- LMDB persistence with "chat:" key prefix
+
+### 107. FLINT Chat Participation (Block QQ)
+- Rate-limited auto-response (1 per 5 seconds per peer)
+- Decoder-only/causal mode for conversational responses
+
+### 108. MCP Tools
+- `spf_chat_send` — send message to peer/conversation
+- `spf_chat_history` — retrieve message history with limit
+- `spf_chat_rooms` — list all active conversations
+
+---
+
+## XXX. VOICE PIPELINE
+*(voice.rs — 2,071 lines)*
+
+### 109. Architecture
+AudioInput → encode → VoiceFrame → mesh (0x03) → decode → AudioOutput.
+TTS: text → speech → mesh. STT: mesh → text → ChatEngine.
+
+### 110. TTS: espeak-ng FFI In-Process
+Zero external process. FFI link to libespeak-ng.so. Light mode = espeak only. Rich mode = Piper ONNX (voice-tts feature).
+
+### 111. Opus Codec
+Static linkage (libopus.a). No runtime C deps beyond espeak-ng.
+
+### 112. Voice Mode Selection
+- Agent TTS: Light (espeak-ng FFI) or Rich (Piper ONNX)
+- Agent STT: Light (text input) or Rich (Whisper via candle)
+- Peer audio quality: Light (12kHz) or Rich (24kHz)
+
+### 113. Call Management
+Outgoing/incoming calls, P2P P2P call protocol (ring/accept/reject/end/status).
+
+### 114. Voice Team Channels
+Group audio channels for team communication.
+
+### 115. MCP Tools
+- `spf_voice_call` — start/accept/reject/end voice calls
+- `spf_voice_mode` — start/stop/speak/listen/pipe audio
+- `spf_voice_team` — create/join/leave team channels
+
+---
+
+## XXXI. REVERSE PROXY BROWSER
+*(browser.rs — 934 lines)*
+
+### 116. Architecture
+1. Agent calls `spf_web_navigate(url)`
+2. Browser opens `http://127.0.0.1:PORT/proxy?url=TARGET`
+3. ProxyEngine fetches page, injects control JS, serves it
+4. Injected JS opens WebSocket to /ws/browser
+5. Agent sends commands (click/fill/eval) through BrowserSession
+6. JS executes, returns results via same path
+
+### 117. ProxyEngine
+Fetches external pages, injects control JavaScript, strips CSP headers.
+Sets `<base href>` for relative URL resolution — no URL rewriting needed.
+
+### 118. BrowserSession
+Manages WS channel, command queue, timeout handling.
+Commands: click, fill, eval, navigate, screenshot, design, page.
+
+### 119. SSRF Protection
+All target URLs validated through `web::validate_url()` before proxying.
+
+### 120. MCP Tools
+- `spf_web_connect` — initialize browser engine
+- `spf_web_navigate` — navigate to URL
+- `spf_web_page` — structured page overview
+- `spf_web_click` — click element by CSS selector
+- `spf_web_select` — query elements by CSS selector
+- `spf_web_fill` — type text into form field
+- `spf_web_eval` — execute JavaScript expression
+- `spf_web_screenshot` — capture screenshot
+- `spf_web_design` — extract design brief
+
+---
+
+## XXXII. WEB ACCESS
+*(web.rs — 469 lines)*
+
+### 121. Dual Search Backend
+- Brave Search API (if BRAVE_API_KEY set)
+- DuckDuckGo HTML fallback
+
+### 122. Web Fetch — HTML-to-Text Conversion
+Fetches URL, strips HTML, returns clean text. 30s timeout.
+
+### 123. File Download
+Gated through SPF — destination path validated.
+
+### 124. HTTP API Client
+Full REST: GET/POST/PUT/DELETE/PATCH. Custom headers and body.
+
+---
+
+## XIII. BRAIN LOCAL — In-Process Vector Search
+*(brain_local.rs — 344 lines)*
+
+### 125. stoneshell-brain Integration
+Embeds MiniLM model (all-MiniLM-L6-v2) for local vector search.
+Functions: search, recall, store, index, list, status.
+
+### 126. Retry Logic (RC-1)
+3 attempts with 2s delay on brain load failure.
+
+---
+
+## XXXIV. CHECKPOINT SYSTEM
+*(checkpoint.rs — 483 lines)*
+
+### 127. Binary Checkpoint Format
+`[SPFC magic:4][version:4][num_tensors:4][headers][data]`
+
+### 128. Delta Format for Mesh Weight Sharing
+Sends only changed weights between nodes — bandwidth efficient.
+
+### 129. Versioned Checkpoints
+Rollback safety — format version tracked.
+
+---
+
+## XXXV. UTF-8 SAFETY UTILITIES
+*(utf8_safe.rs — 101 lines)*
+
+### 130. Lossy Text Conversion
+Binary-safe UTF-8 handling. Binary files get fingerprint info, not corrupt text.
+
+---
+
+### XXXVI. INTEGRATION TESTS
+*(integration_tests.rs — 763 lines)*
+
+### 131. Full Build Verification
+Tests for gate pipeline, complexity calculation, dispatch routing, mesh framing, pipeline chains, transformer inference, checkpoint round-trip.
+
+---
+
+## XXXVII. HOOK SYSTEM — 31 Shell Hooks
+*(31 files in hooks/)*
+
+### 132. Native Tool Blocking Hooks (9 hooks)
+Exit code 1, hard-block: Read, Edit, Write, Bash, Glob, Grep, WebFetch, WebSearch, NotebookEdit.
+
+### 133. MCP Tool Tracking Hooks (20 hooks)
+Exit code 0, log to spf.log: all 83 MCP tools grouped by category.
+
+### 134. Lifecycle Hooks
+- session-start — resets state, injects SPF formula
+- session-end — handoff note, brain checkpoint
+- stop-check — saves state, prevents infinite loop
+- user-prompt — prompt complexity scoring
+- post-action — updates STATUS.txt, triggers brain checkpoint
+- post-failure — logs to failures.log
+
+---
+
+## XXXVIII. STATE AND OBSERVABILITY
+
+### 135. STATUS.txt — Memory Triad System 2
+Auto-updated after every tool action. Current state, files read/written, Build Anchor ratio.
+
+### 136. spf.log — Full Action Log
+Timestamped log with rotation (0.5GB max, 5,000 lines, one backup).
+
+### 137. failures.log — Dedicated Failure Log
+Separate file for failed tool calls.
+
+### 138. Brain Checkpoint on Writes
+post-action.sh auto-stores to brain on Write/Edit. Async, tagged: spf, checkpoint, tool_name.
+
+### 139. LEARNING PIPELINE — ACTIVE
+- PRE: init_brain() + index_knowledge_docs() + index_spf_sources()
+- DURING (30s loop): GateTrainingCollector → FLINT scores → route_signals → brain_store()
+- AFTER (1hr loop): expire �� Working→Fact → Fact→Pinned → auto-train (16+ tlog or 1hr)
+
+---
+
+## XXXIX. BRAIN STATE (verified 2026-04-05)
+
+### 140. Collections
+| Collection | Docs | Purpose |
+|------------|------|---------|
+| spf_source | 465 | Source code chunks |
+| flint_training | 2,013 | Training signals |
+| flint_results | 448 | Gate decisions |
+| default | 392 | General knowledge |
+| flint_knowledge | 49 | FLINT facts |
+| session_state | 4 | Current session |
+| flint_episodic | 2 | Episodic memory |
+
+Total: 3,371 docs | Storage: 31.41 MB | Model: all-MiniLM-L6-v2
+
+---
+
+## XL. PERMISSIONS AND ACCESS CONTROL
+
+### 141. 3-Layer Defense
+| Layer | Mechanism | Bypass? |
+|-------|-----------|---------|
+| 1. Permissions Deny | settings.json denies native tools | Claude enforced |
+| 2. Hook Blocking | pre hooks exit 1 on native tools | Cannot bypass |
+| 3. Gate Validation | Compiled Rust allowlist + path blocking | Compiled binary |
+
+### 142. Self-Protection (Dynamic from spf_root)
+- SPFsmartGATE/src/ — own source code
+- Cargo.toml, Cargo.lock — dependencies
+- LIVE/SPF_FS/blobs/ — vfs blob storage
+- Home/.claude/ — Claude settings
+- System dirs: /etc, /system, /usr, PREFIX
+
+### 143. Config Get/Set Removed from MCP
+Config changes are CLI-only. AI cannot modify its own config or invoke the gate directly.
+
+---
+
+## XLI. CLI COMMANDS
+
+### 144. Binary CLI
+- `spf-smart-gate serve` — MCP stdio server
+- `spf-smart-gate status` — Gateway status
+- `spf-smart-gate session` — Full session state
+- `spf-smart-gate reset` — Fresh session
+- `spf-smart-gate worker [--role writer|researcher]` — Headless worker mode
+- `spf-smart-gate init-config` — Initialize CONFIG.DB
+- `spf-smart-gate refresh-paths` — Update CONFIG.DB paths (--dry-run)
+- `spf-smart-gate fs-import/fs-export` — LMDB ↔ Device
+- `spf-smart-gate config-import/config-export` — JSON ↔ CONFIG.DB
+- `spf-smart-gate gate` — One-shot gate check
+- `spf-smart-gate calculate` — Complexity calc only
+
+---
+
+## XLII. ARCHITECTURE PROPERTIES
+
+### 145. Multi-Database LMDB Architecture
+| # | Database | Location | Purpose |
+|---|----------|----------|---------|
+| 1 | SPF_FS.DB | LIVE/SPF_FS/ | Virtual filesystem + blobs |
+| 2 | CONFIG.DB | LIVE/CONFIG/ | Path rules, tiers, formula |
+| 3 | SESSION.DB | LIVE/SESSION/ | Session state persistence |
+| 4 | PROJECTS.DB | LIVE/PROJECTS/ | Project registry |
+| 5 | TMP.DB | LIVE/TMP/ | Trust, access logs, active project |
+| 6 | AGENT_STATE.DB | LIVE/LMDB5/ | Memory, sessions, chat |
+| 7 | BRAIN | LIVE/TMP/stoneshell-brain/ | Vector search (chromadb) |
+
+### 146. Zero-Dependency Path Resolution
+`spf_root()` walks up from binary location for Cargo.toml → SPF_ROOT env → HOME/SPFsmartGATE. Cached via OnceLock.
+
+### 147. MCP Protocol v2024-11-05
+JSON-RPC 2.0 over stdio. Compatible with any MCP client. 83 agent tools (8 user-only tools excluded).
+
+### 148. Cross-Platform Portable
+Android ARM64, Linux x86_64/ARM64, macOS ARM/Intel. Zero hardcoded paths. All resolved from binary location.
+
+### 149. Multi-Agent Network
+- Ed25519 identity (CL-1: self-test at boot)
+- QUIC mesh transport (iroh)
+- Qwen tool prefix aliasing (QW-1/QW-2)
+- API Session Layer — full duplex agent-to-agent encrypted sessions (PP-2)
+
+---
+
+## XLIII. FLINT AI STATUS
+
+### 150. Training Status (live, 2026-04-05)
+- Step: 116 | Batches completed: 6
+- Gate alignment: 81.25% | Average loss: 0.648
+- EWC lambda: 0.4 | Learning rate: 1e-4
+- Online learning: ON | Replay buffer: 10,000 slots
+- Checkpoint interval: 1,000 steps
+- Checkpoint: LIVE/MODELS/writer_v1.spfc
+
+### 151. Model Architecture
+- d_model: 256 | n_heads: 8 | n_layers: 6 | d_ff: 1,024
+- Vocab: 8,192 | Params: ~5M
+- Writer + Researcher configs
+
+---
+
+## XLIV. SECURITY EXCEPTIONS (Known Gaps)
+
+| Gap | Description | Remediation |
+|-----|-------------|-------------|
+| GAP-1 | ChatText → handle_mesh_chat() — no gate routing | SEC-CHAT pending |
+| GAP-2 | VoiceAudio — intentional, audio frames only | Accepted |
+| GAP-3 | /proxy + /proxy/asset — SSRF only, bypasses dispatch | WB-2 pending |
+| GAP-4 | /ws/browser — no gate/FLINT | SEC-WS pending |
+
+---
+
+*Generated from source code analysis — verified 2026-04-05*
+*8,245 → 18,500+ lines | 88 → 150+ features | 31 → 42 modules | 6 → 7 databases*
+*New since February 2026: FLINT Transformer AI, Mesh Network, Chat, Voice, Browser, Pipeline, Network Pool, Channel Hub*

SPFsmartGATE/LIVE/PROJECTS/PROJECTS/DEPLOY/TRIAD-CMD/STATUS.md

@@ -0,0 +1,230 @@
+# STATUS — SPF Smart Gateway
+# Copyright 2026 Joseph Stone — All Rights Reserved
+# Updated: 2026-04-05 (audited against LIVE src/ — source of truth, re-verified)
+# Owner: FLINT (agents READ ONLY)
+
+═══════════════════════════════════════════════════════
+  BINARY — Current Deployed Build
+═══════════════════════════════════════════════════════
+Location: ~/SPFsmartGATE/LIVE/BIN/spf-smart-gate/spf-smart-gate
+Built:    2026-03-21 Session 10 (DEPLOY → live src rebuilt, 0 errors)
+Mesh:     ONLINE — controller node
+Startup:  pulseaudio --start (required on reboot)
+TTS:      espeak-ng FFI in-process (symlinked)
+Source:   42 modules in src/lib.rs — 45 .rs files total (42 mod + main.rs + lib.rs + projects_db.rs + integration_tests.rs)
+FLINT:    Step 116, 6 batches completed, gate alignment 81.25%
+          Checkpoint: LIVE/MODELS/writer_v1.spfc (confirmed persistent)
+          Online learning: ON | EWC lambda: 0.4 | Learning rate: 1e-4
+          Replay buffer: 10,000 slots | Checkpoint interval: 1,000 steps
+
+═══════════════════════════════════════════════════════
+  MODULE INVENTORY (from src/lib.rs — verified 2026-04-04 audit)
+═══════════════════════════════════════════════════════
+
+  paths, calculate, config, gate, inspect, mcp, session, storage, validate,
+  web, http, dispatch, identity, mesh, fs, config_db, tmp_db, agent_state,
+  tensor, tokenizer, framing, attention, ffn, encoder, decoder, transformer,
+  checkpoint, gate_training, transformer_tools, train, learning, pipeline,
+  worker, network, chat, voice, utf8_safe, brain_local, flint_memory,
+  browser, orchestrator, channel
+
+Total: 42 modules
+
+═══════════════════════════════════════════════════════
+  COMPLETED — All verified LIVE in src/
+═══════════════════════════════════════════════════════
+
+## Gate + Security (src/gate.rs 493 lines, validate.rs 1481 lines, inspect.rs)
+P1-01  ✅  26/26 Phase 1 memory blocks
+P2-01  ✅  6/6 Phase 2 memory blocks
+BK-EE  ✅  Evil Detection Layer (gate_training.rs — 4-tier moral framework)
+BK-PP  ✅  Chat Toggle (chat_enabled flag in transformer_tools.rs)
+BK-QQ  ✅  FLINT Mesh Auto-Response (chat.rs — rate limited)
+SEC-2  ✅  Blocked paths in config.rs
+SEC-3  ✅  Boot integrity check in mcp.rs
+SEC-4  ✅  API key env var in http.rs
+
+## Dispatch + Execution (src/dispatch.rs 506 lines)
+FL-0   ✅  FLINT Permission Unlock — TRANSFORMER_BLOCKED removed
+FL-0B  ✅  Tri-Memory Connection — route_signals creates Working memories
+FL-1A  ✅  Source-aware lock (Stdio=blocking, others=timed try_lock + SERVER_BUSY)
+FL-1B  ✅  Stdio routes through dispatch::call() — Block BB removed
+FL-1C  ✅  FLINT intercept (pre-execution brain query) + process_result (post-execution store/enrich)
+FL-1   ✅  Training signal persistence — tlog:* keys in LMDB
+FL-2   ✅  Result Compression — FULL/SUMMARY/DIGEST tiers + originals preserved in brain >2000 chars
+FL-3   ✅  Context Injection — brain hits attached to responses via _flint_context
+FL-4   ✅  Mesh FLINT Coordination — all transports use dispatch::call()
+FL-5   ✅  Confusion matrix persisted to LMDB
+FL-6   ✅  FP-locked replay persisted to LMDB
+FL-7   ✅  Tool call context stored as language training pairs (lang:*)
+FL-8   ✅  spf_flint_train_evil + spf_flint_train_good tools
+FL-9   ✅  Dead code removed (LRScheduler, LearningController, convergence)
+FL-10  ✅  Auto-train threshold simplified — LMDB tlog count >= 16 OR 1hr interval
+
+## Voice Pipeline (src/voice.rs 2071 lines — espeak-ng TTS, Opus codec, cpal audio)
+BK-LL  ✅  Voice Playback Wiring
+BK-MM  ✅  Voice Line Architecture (Light/Rich/VoiceSettings)
+OP-55  ✅  Opus Migration (audiopus_sys → opus-codec)
+MB-V0  ✅  Voice integrated as pub(crate) mod spf_voice (not separate crate — BF-4)
+VF-3   ✅  voice.rs — listen() u32→u64 fixed
+VA-1   ✅  All 7 stale voice refs cleaned
+
+## FLINT Memory Router (src/flint_memory.rs 1065 lines)
+MB-FR  ✅  FLINT Memory Router — background thread, gate event scoring, drop folder watcher
+MB-FT  ✅  Tiered Loop Engine — Working→Fact→Pinned promotion (usage-based scoring)
+R3-04  ✅  Build Anchor Context function (brain-assisted source context for Write/Edit)
+R3-05  ✅  Wire Build Anchor into intercept (merged with brain hits)
+R3-06  ✅  Read tracking for build anchor (compression disabled for non-Claude LLM compatibility)
+R3-07  ✅  Agent Read Interface — gate brain write block (spf_brain_store/brain_index blocked from Stdio)
+R3-10  ✅  FLINT metrics wiring through memory router (hourly write to FLINT_METRICS.txt)
+
+## FLINT Persistence + Learning (transformer_tools.rs 1052 lines)
+SB-1   ✅  stoneshell-brain warnings fixed (cosmetic prefix change)
+CP-1   ✅  Checkpoint save after training (transformer_tools.rs:664-678)
+CP-2   ✅  Checkpoint load on startup (transformer_tools.rs:176-227)
+AT-1   ✅  Auto-train in memory router (flint_memory.rs:606-627 — 1hr/16 signals)
+TM-1   ✅  30-day archive + >80% usage promotion (flint_memory.rs)
+CM-1   ✅  Removed 24hr grace period — compression active from start (Read passthrough preserved)
+
+## Pipeline + API Sessions (src/pipeline.rs 1107 lines)
+PP-1   ✅  Pipeline Protocol — batch submit, chain execution, backpressure
+PP-2   ✅  API Session Layer — full duplex agent-to-agent encrypted sessions
+         Includes: PipelineTask/PipelineResult types, ApiSessionMsg, 14 tests
+
+## Network Pool (src/network.rs 526 lines)
+✅  Full pool management: PoolState, WorkerStatus, ProofOfWork
+✅  NetAdmin orchestrator over iroh QUIC mesh
+✅  Proof of work receipt logged to session.record_manifest_detailed()
+
+## Qwen Compatibility
+QW-1   ✅  Tool prefix aliasing for Qwen LLM compatibility
+QW-2   ✅  Param alias absolute_path → file_path + FL-8 tool definitions
+
+## Infrastructure
+PF-1   ✅  SPF_ROOT env var — configurable base path
+CL-1   ✅  Identity key self-test at boot
+RC-1   ✅  Brain load retry (3 attempts, 2s delay)
+RC-2   ✅  FLINT checkpoint load in serve mode — CONFIRMED persistent (step ≠ 0 on boot)
+LM-1   ✅  LMDB map_size increase + promote dedup fix
+LM-2   ✅  Brain store failure handling in memory router (3 consecutive failures → expire old)
+RG-1   ✅  Remove Python RAG subprocess dependency
+
+## R2 Reliability Fixes
+FIX-1  ✅  Brain store safety in archive_old_pinned
+FIX-2  ✅  Checkpoint interval guard + >0 safety
+FIX-3  ✅  VecDeque for SignalBuffer
+FIX-4  ✅  Vector graduation + forget on promotion
+FIX-5  ✅  4-phase lock restructure (forward on clone, backward, optimizer, adopt)
+FIX-6  ✅  Auto-resolved by FIX-2
+
+## R2 Token Reduction
+TR-D   ✅  Smart Grep/Glob compression (flint_memory.rs)
+
+## Build + Deploy
+BD-1   ✅  Voice module placed in src/voice.rs (pub(crate) mod spf_voice)
+BD-2   ✅  build.rs restored — espeak-ng linker fixed
+BD-3   ✅  Binary rebuilt and deployed
+BD-4   ✅  lib.rs — pub mod flint_memory added
+BD-5   ✅  mcp.rs — memory router spawn wired
+
+## Build Errors Fixed (Session 10)
+BF-1   ✅  mcp.rs: browser/ws_browser_channels/http_port params added to handle_tool_call()
+BF-2   ✅  Cargo.toml: default=[] + voice-stt/voice-tts empty features
+BF-3   ✅  voice.rs: mod spf_voice → pub(crate) mod spf_voice
+BF-4   ✅  mcp.rs: use crate::voice::spf_voice import added
+BF-5   ✅  dispatch.rs: updated call site with 3 new browser params
+Result: 18 errors → 3 → 0, clean build
+
+## Security Audit — Native Claude Tool Block
+SA-1   ✅  .claude.json permissions.block expanded 10 → 26 native tools
+SA-2   ✅  settings.json permissions.deny expanded 5 → 26 native tools
+SA-3   ✅  settings.local.json permissions.deny expanded 5 → 26 native tools
+
+## Security Exceptions (known gaps)
+GAP-1  ⚠️  ChatText → handle_mesh_chat() — no gate routing → SEC-CHAT pending
+GAP-2  ✅  VoiceAudio → handle_mesh_voice() — intentional, audio frames only
+GAP-3  ⚠️  /proxy + /proxy/asset — validate_url SSRF only, bypasses dispatch → WB-2
+GAP-4  ⚠️  /ws/browser — browser commands direct to BrowserSession, no gate/FLINT → SEC-WS
+
+## Security
+SEC-2  ✅  Blocked paths in config.rs
+SEC-3  ✅  Boot integrity check in mcp.rs
+SEC-4  ✅  API key env var in http.rs
+
+## Retired
+MB-A2  ❌  Voice Test (TTS+STT) — replaced by JNI Voice Command Bar
+MB-A4  ❌  Termux Soft-Embed — replaced by Stone Shell Terminal
+MB-T1  ❌  Termux block 1 — retired, replaced by R2
+MB-T2  ❌  Termux block 2 — retired, replaced by R2
+MB-T3  ❌  Termux block 3 — retired, replaced by R2
+
+═══════════════════════════════════════════════════════
+  BLOCKED — Waiting on External Dependencies
+═══════════════════════════════════════════════════════
+BL-1   ❌  Voice STT — PulseAudio has no real audio devices on Termux
+           cpal→PulseAudio→ALSA stack broken — architecture problem
+           TTS works (espeak-ng FFI). STT needs JNI (Stone Shell Terminal)
+
+BL-2   ❌  Stone Shell Terminal — Android APK replaces Termux entirely
+           7 crates, 8-core pipeline, JNI bridge built
+           50 features (P0-P2), ~12,300 lines, ~5,000 already written
+           Ref: TERMINAL/WORK_BLOCKS.md (41 blocks)
+
+═��═════════════════════════════════════════════════════
+  PENDING — Next Work (in priority order)
+═══════════════════════════════════════════════════════
+ #  ID          What                                          Action
+ 1  SEC-CHAT ⬜  Chat /ai cmd routing through dispatch()       src/chat.rs + dispatch.rs
+ 2  SEC-WS   ⬜  /ws/browser security gap (validator + eval)   src/http.rs
+ 3  #43-4    ⬜  Remove pipeline chain system                  pipeline.rs + mesh.rs + framing.rs
+ 4  #43-3    ⬜  spf_status unified health dashboard            src/mcp.rs
+ 5  #43-1    ⬜  network.rs dynamic status strings             src/network.rs (rewritten for pool)
+ 6  #43-2    ⬜  mcp.rs static tool descriptions update        src/mcp.rs
+ 7  CHAT-A   ⬜  Chat protocol upgrade (receipts, rooms)       src/chat.rs
+ 8  CHAT-B   ⬜  Identity layer (names, mDNS, pairing)         src/chat.rs + mesh.rs
+ 9  CHAT-C   ⬜  Web UI (/chat + /ws/chat SPA)                 src/http.rs + chat.rs
+10  CHAT-D   ⬜  TUI frontend (ratatui + crossterm)            src/tui.rs (new)
+11  CHAT-E   ⬜  FLINT as chat participant (/ai cmd)           src/chat.rs + dispatch.rs
+12  CHAT-F   ⬜  QR pairing + invite links (optional)          src/http.rs + chat.rs
+13  MESH-RP  ⬜  Mesh re-pair controller node                  USER ACTION — cert refresh
+14  TR-A     ⬜  CLAUDE.md dedup (~8,000 tokens/session)       USER ACTION — symlinks
+15  TR-B     ⬜  Brain-assisted Build Anchor                   New function in flint_memory.rs
+16  TR-E     ⬜  Build Anchor from brain (extends TR-B)        Workflow change + intercept
+17  TR-C     ⬜  Session file cache (prevent re-reads)         New logic in compress_result
+18  CLONE    ⬜  Test clone SPF + mesh network                 After next build
+19  MB-FC    ⬜  FLINT User CLI                                Separate binary, local socket
+20  MB-FA    ⬜  Agent Read Interface                          Block brain WRITE from Stdio
+21  MB-FM    ⬜  FLINT owns STATUS + WORK_BLOCKS               Auto-update on phase change
+
+═══════════════════════════════════════════════════════
+  REFERENCES
+═══════════════════════════════════════════════════════
+DEPLOY/TRIAD-CMD/BOOT.md           — Agent boot entry point (created 2026-04-14)
+DEPLOY/TRIAD-CMD/STATUS.md         — Canonical STATUS copy in boot folder
+DEPLOY/TRIAD-CMD/MEMORY_TRIAD.md   — Memory system architecture
+DEPLOY/TRIAD-CMD/WORKFLOW.md       — Confidence-graded work blocks
+DEPLOY/TRIAD-CMD/MORAL_FRAMEWORK.md — FLINT moral framework (IMMUTABLE)
+DEPLOY/TRIAD-CMD/README.md         — Boot folder index + load order
+DEPLOY/README.md                   — Full project README (source-accurate)
+DEPLOY/WORK_BLOCKS.md              — Master work block list
+
+## LEARNING PIPELINE — ACTIVE
+PRE     (startup):  init_brain() + index_knowledge_docs() + index_spf_sources()
+DURING  (30s loop): GateTrainingCollector → FLINT scores → route_signals → brain_store()
+AFTER   (1hr loop): expire → Working→Fact → Fact→Pinned → auto-train (16+ tlog or 1hr)
+
+## Brain state (verified 2026-04-05 — live)
+Collections: 7 (spf_source 465, flint_training 2013, flint_results 448, default 392,
+               flint_knowledge 49, session_state 4, flint_episodic 2)
+Total docs: 3,371 | Storage: 31.41 MB | Model: all-MiniLM-L6-v2 loaded
+
+## Voice module
+Location: src/voice.rs — pub(crate) mod spf_voice (NOT separate crate)
+TTS:      espeak-ng FFI in-process
+Codec:    Opus static (libopus.a)
+Audio:    cpal + opus-codec
+Libs:     libespeak-ng.so (/usr/lib), libopus.a + liboboe-ext.a (SPFsmartGATE/lib/)
+
+═══════════════════════════════════════════════════════
+  END STATUS
+═══════════════════════════════════════════════════════

SPFsmartGATE/LIVE/PROJECTS/PROJECTS/DEPLOY/TRIAD-CMD/WORKFLOW.md

@@ -0,0 +1,116 @@
+# WORKFLOW — Confidence-Graded Work Blocks + SearchSeeker Data Serving
+# Copyright 2026 Joseph Stone — All Rights Reserved
+# Created: 2026-04-05
+# Phase: DRAFT (SearchSeeker design + agent workflow, FLINT excluded from Phase 1)
+
+========================================================================
+  WORK BLOCK LIFECYCLE
+========================================================================
+
+1. AGENT CREATES WORK BLOCK
+   - Reads task → plans → creates work block in WORK_BLOCKS.md
+   - Builds the block (code, docs, config)
+   - Assigns CONFIDENCE SCORE (1-100) REQUIRED
+   - Records reason for score, data gaps, uncertainties
+
+2. CONFIDENCE GATE EVALUATION
+   Score >= 85: PASS — no twin folder needed
+   Score 60-84: REVIEW — twin folder, data served
+   Score < 60:  FAIL — twin folder, urgent data search
+
+3. TWIN FOLDER STRUCTURE
+   WORK_BLOCKS/HH-123/          ← original work block
+   WORK_BLOCKS/HH-123-DATA/     ← SearchSeeker served data (if low confidence)
+
+4. SEARCHSEEKER DATA RETRIEVAL
+   Step 1: BRAIN VECTOR SEARCH (first, local data — LMDB backed vectors only)
+     - Query: work block title, data gaps, files touched
+     - Collections: spf_source, default, flint_results
+     - Deduplicate hits, score by relevance
+
+   Step 2: WEB SEARCH (second, external fill)
+     - If brain gaps remain → spf_web_search + spf_web_fetch
+     - Clean text extraction (no HTML storage)
+
+   Step 3: SERVE TO TWIN
+     - SUMMARY.md — overview, gap count, recommendation
+     - brain_hits.md — brain results grouped by gap
+     - web_results.md — web results
+     - gaps.md — per-gap: query, results, filled/remaining
+
+5. AGENT REVIEW CYCLE
+   After agent completes ALL initial work blocks:
+   - Scan for any *-DATA twin folders
+   - For each: read served data → identify missing info → upgrade block
+   - Re-grade confidence (never lower than original)
+   - If >= 90: RESOLVED
+   - If 75-89: RESOLVED with note (minor risk accepted)
+   - If 60-74: STILL AT RISK — second review needed
+   - If < 60: BLOCKED — needs external input
+
+========================================================================
+  CONFIDENCE SCALCULATION
+========================================================================
+
+Score starts at 100, each verified gap deducts:
+
+  -10  File hasn't been read yet (unread source)
+  -15  Unknown API/interface (can't verify function signatures)
+  -12  No existing pattern to follow (building new from scratch)
+  -8   Potential merge conflict with other work blocks
+  -10  Unknown side effects (downstream impacts not traced)
+
+Capped at 0 minimum, 100 maximum.
+
+Agent MUST record each deduction in the Data Gaps section.
+A score without stated gaps is INVALID.
+
+========================================================================
+  SEARCHSEEKER CONFIGURATION (Phase 1)
+========================================================================
+
+Trigger: Work block confidence < 85 detected
+Sources: Brain vectors (LMDB, local) → Web API (external)
+Output: HH-123-DATA/ folder with structured markdown files
+Agent: Reviews post-completion, upgrades work, re-grades
+
+========================================================================
+  WORK BLOCK FORMAT
+========================================================================
+
+Each block in WORK_BLOCKS.md uses this format:
+
+---
+block_id: HH-123
+title: "Block title"
+confidence: 72
+graded_at: 2026-04-05
+status: draft | in_review | resolved | blocked
+---
+
+### Block HH-123 — Title
+Status: ⬜ PENDING
+Confidence: 72
+Files: src/x.rs
+
+ANALYSIS:
+  [What the block addresses]
+
+CHANGES:
+  [What will be changed, file:line]
+
+WHY:
+  [Why this change is needed]
+
+TRACEBACK:
+  [Full call chain verification]
+
+VERIFY:
+  [How to test]
+RISK: LOW | MEDIUM | HIGH
+Lines: ~N new/modified
+Dependencies: None | Block X
+
+========================================================================
+  END WORKFLOW
+========================================================================

SPFsmartGATE/LIVE/TMP/LiveBench/.gitignore

@@ -0,0 +1,49 @@
+livebench/log
+
+# Python
+__pycache__/
+*.pyc
+*.egg-info
+dist
+.venv
+
+# Log
+*.log
+*.log.*
+#*.json
+!playground/deepspeed_config_s2.json
+!playground/deepspeed_config_s3.json
+*.jsonl
+
+# Editor
+.idea
+*.swp
+
+# Other
+.DS_Store
+wandb
+output
+*_strict.jsonl
+
+# Data
+*.pkl
+*.csv
+
+*~
+
+# Build
+build
+
+
+data
+
+core
+
+.env
+
+livebench/answer_inspections
+livebench/question_edit
+
+trajectories
+
+prompts.txt

SPFsmartGATE/LIVE/TMP/LiveBench/LICENSE

@@ -0,0 +1,233 @@
+   The original LICENSE from https://github.com/lm-sys/FastChat is copied below.
+
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+--------------------------
+
+This is the end of the FastChat LICENSE. The original LICENSE from https://github.com/livecodebench/LiveCodeBench is copied below.
+
+--------------------------
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+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

SPFsmartGATE/LIVE/TMP/LiveBench/README-es_CO.md

@@ -0,0 +1,183 @@
+# LiveBench (en inglés)
+
+![Crates.io](https://img.shields.io/crates/l/Ap?color=orange)
+
+<p align="center">
+    <a href="https://livebench.ai/"> Tabla de clasificación</a> •
+    <a href="https://huggingface.co/livebench"> Datos </a> •
+    <a href="https://livebench.ai/livebench.pdf"> Papel</a> 
+</p>
+
+Las mejores modelos a partir del 6 de agosto de 2024 (consulta la tabla de clasificación completa [aquí](https://livebench.ai/)):
+
+![imagen](assets/livebench-2024-08-06.png)
+
+**Actualización 28 de julio de 2024:** La primera actualización mensual. Agregamos 50 preguntas en una nueva tarea de razonamiento espacial, 28 preguntas adicionales de generación de codificación y 12 preguntas adicionales de finalización de codificación. Además, fusionamos una de las dependencias opcionales en pyproject.toml en el flujo de dependencias principal para resolver un problema experimentado al usar `gen_api_answer.py` sin instalar paquetes como torch.
+
+## Tabla de contenidos
+
+- [Introducción](#introduction)
+- [Inicio rápido de la instalación](#installation-quickstart)
+- [Uso](#usage)
+- [Datos](#data)
+- [Adición de nuevas preguntas](#adding-new-questions)
+- [Documentación](#documentation)
+- [Cita](#citation)
+
+## Introducción
+
+Presentamos LiveBench: un punto de referencia para LLM diseñado teniendo en cuenta la contaminación del conjunto de pruebas y la evaluación objetiva.
+
+LiveBench tiene las siguientes propiedades:
+
+* LiveBench está diseñado para limitar la contaminación potencial mediante la publicación de nuevas preguntas mensualmente, así como preguntas basadas en conjuntos de datos recientemente publicados, documentos de arXiv, artículos de noticias y sinopsis de películas de IMDb.
+* Cada pregunta tiene respuestas verificables, objetivas y basadas en la verdad, lo que permite que las preguntas difíciles se califiquen de manera precisa y automática, sin el uso de un juez de LLM.
+* LiveBench contiene actualmente un conjunto de 18 tareas diversas en 6 categorías, y lanzaremos nuevas tareas más difíciles con el tiempo.
+
+**¡Evaluaremos tu modelo!** ¡Abra un [número](https://github.com/LiveBench/LiveBench/issues) o envíenos un correo electrónico a [livebench.ai@gmail.com](mailto:livebench.ai@gmail.com)!
+
+## Inicio rápido de la instalación
+
+Probado en Python 3.10
+
+Para generar respuestas con modelos de API (es decir, con gen_api_answer.py), realizar juicios y mostrar resultados:
+
+```bash
+cd LiveBench
+pip install -e .
+```
+
+Para hacer todo lo anterior y también generar respuestas con inferencia de GPU local en modelos de código abierto (es decir, con gen_model_answer.py):
+```bash
+cd LiveBench
+pip install -e .[flash_attn]
+```
+
+**Nota sobre fschat**: La versión del paquete fschat en pip (es decir, [lmsys/fastchat](https://github.com/lm-sys/FastChat)) está actualmente desactualizada, por lo que recomendamos encarecidamente `pip uninstall fschat` antes de ejecutar lo anterior, ya que entonces instalará automáticamente una confirmación más reciente de fastchat.
+
+Nuestro repositorio está adaptado del excelente módulo de llm_judge de FastChat [](https://github.com/lm-sys/FastChat/tree/main/fastchat/llm_judge) , y también contiene código de [LiveCodeBench](https://github.com/LiveCodeBench/LiveCodeBench) e [IFEval](https://github.com/Rohan2002/IFEval?tab=readme-ov-file).
+
+## Uso
+
+```bash
+cd livebench
+```
+
+Para generar respuestas de modelo en LiveBench, ejecute:
+```bash
+python gen_model_answer.py --model-path /path/to/Mistral-7B-Instruct-v0.2/ --model-id Mistral-7B-Instruct-v0.2 --dtype bfloat16 --bench-name live_bench
+```
+
+En el caso de los modelos basados en API, primero establezca la clave adecuada y, a continuación, ejecute el archivo `gen_api_answer.py`. Actualmente admitimos las siguientes API: OpenAI, Anthropic, Mistral, Cohere y Gemini. El comando para ejecutar todo LiveBench en un `api_model_name`, ejecute este comando:
+```bash
+export OPENAI_API_KEY=<your_key>
+export ANTHROPIC_API_KEY=<your_key>
+export MISTRAL_API_KEY=<your_key>
+export CO_API_KEY=<your_key>
+export GEMINI_API_KEY=<your_key>
+export DEEPSEEK_API_KEY=<your_key>
+python gen_api_answer.py --model <api_model_name> --bench-name live_bench
+```
+
+Para generar respuestas de modelo con VLLM u otras API arbitrarias que coincidan con el formato de API de OpenAI, ejecute:
+```bash
+export LIVEBENCH_API_KEY=<your API key if needed. Usually not needed for VLLM>
+python gen_api_answer.py --model <api_model_name> --bench-name live_bench --api-base <your endpoint. Often, for VLLM, this is http://localhost:8000/v1>
+```
+
+Para puntuar los resultados del modelo:
+
+```bash
+python gen_ground_truth_judgment.py --bench-name live_bench
+```
+
+Para mostrar todos los resultados:
+```bash
+python show_livebench_result.py
+```
+
+Es posible que desee ejecutar estos comandos solo en algunos modelos. Para ejecutar cualquiera de los archivos python anteriores (`gen_model_answer.py`, `gen_api_answer.py`, `gen_ground_truth_judgment`, o `show_livebench_result.py`) para modelos específicos, utilice los siguientes estilos de argumentos:
+```bash
+python gen_model_answer.py          --bench-name live_bench --model-path /path/to/Mistral-7B-Instruct-v0.2/ --model-id Mistral-7B-Instruct-v0.2 --dtype bfloat16 
+python gen_api_answer.py            --bench-name live_bench --model gpt-4-turbo
+python gen_ground_truth_judgment.py --bench-name live_bench --model-list Mistral-7B-Instruct-v0.2 Llama-2-7b-chat-hf claude-3-opus-20240229
+python show_livebench_result.py    --bench-name live_bench --model-list Mistral-7B-Instruct-v0.2 Llama-2-7b-chat-hf claude-3-opus-20240229
+```
+
+O bien, es posible que desee mostrar los resultados de una categoría o tarea específica de LiveBench mediante el `--bench-name` argumento. Aquí, nos ejecutamos `show_livebench_result.py` solo en la `web_of_lies_v2` tarea: 
+```bash
+python show_livebench_result.py --bench-name live_bench/reasoning/web_of_lies_v2
+```
+
+De forma predeterminada, cualquiera de los scripts anteriores utilizará todas las preguntas de livebench publicadas hasta ahora. Ninguna de las preguntas de Livebench ha sido oficialmente obsoleta/excluida. Opcionalmente, puede especificar el `--livebench-releases` arg para restringir las preguntas que utiliza para agregarlas en versiones específicas.
+
+Para usar todas las preguntas:
+```bash
+python gen_api_answer.py --bench-name live_bench --model gpt-4-turbo --livebench-releases 2024-07-26 2024-06-24
+```
+
+Para usar solo las preguntas de la actualización de julio de 2024:
+```bash
+python gen_api_answer.py --bench-name live_bench --model gpt-4-turbo --livebench-releases 2024-07-26
+```
+
+Para descargar opcionalmente `question.jsonl` archivos (para inspección) y archivos de respuestas/juicios de la tabla de clasificación, use
+```bash
+python download_questions.py
+python download_leaderboard.py
+```
+
+Para usar `question.jsonl` archivos en lugar de huggingface, establezca `--question-source jsonl` en `gen_api_answer.py`, `gen_model_answer.py`, y `gen_ground_truth_judgment.py`. Esta también es una característica útil si desea modificar los jsonls de las preguntas o experimentar con sus propias preguntas.
+
+## Datos
+Las preguntas para cada una de las categorías se pueden encontrar a continuación:
+- [Razonamiento](https://huggingface.co/datasets/livebench/reasoning)
+- [Matemática](https://huggingface.co/datasets/livebench/math)
+- [Codificación](https://huggingface.co/datasets/livebench/coding)
+- [Idioma](https://huggingface.co/datasets/livebench/language)
+- [Análisis de datos](https://huggingface.co/datasets/livebench/data_analysis)
+- [Instrucciones siguientes](https://huggingface.co/datasets/livebench/instruction_following)
+
+También están disponibles las [respuestas modelo](https://huggingface.co/datasets/livebench/model_answer) y los [juicios modelo.](https://huggingface.co/datasets/livebench/model_judgment)
+
+## Adición de nuevas preguntas
+Si desea crear su propio conjunto de preguntas, o probar diferentes indicaciones, etcétera, siga estos pasos:
+
+- Cree un `question.jsonl` archivo con la siguiente ruta: `livebench/data/live_bench/<category>/<task>/question.jsonl`. Por ejemplo, `livebench/data/reasoning/web_of_lies_new_prompt/question.jsonl`. A continuación, se muestra un ejemplo del formato para `question.jsonl` (son las primeras preguntas de [web_of_lies_v2](https://huggingface.co/datasets/livebench/reasoning)):
+
+```jsonl
+{"question_id": "0daa7ca38beec4441b9d5c04d0b98912322926f0a3ac28a5097889d4ed83506f", "category": "reasoning", "ground_truth": "no, yes, yes", "turns": ["In this question, assume each person either always tells the truth or always lies. Tala is at the movie theater. The person at the restaurant says the person at the aquarium lies. Ayaan is at the aquarium. Ryan is at the botanical garden. The person at the park says the person at the art gallery lies. The person at the museum tells the truth. Zara is at the museum. Jake is at the art gallery. The person at the art gallery says the person at the theater lies. Beatriz is at the park. The person at the movie theater says the person at the train station lies. Nadia is at the campground. The person at the campground says the person at the art gallery tells the truth. The person at the theater lies. The person at the amusement park says the person at the aquarium tells the truth. Grace is at the restaurant. The person at the aquarium thinks their friend is lying. Nia is at the theater. Kehinde is at the train station. The person at the theater thinks their friend is lying. The person at the botanical garden says the person at the train station tells the truth. The person at the aquarium says the person at the campground tells the truth. The person at the aquarium saw a firetruck. The person at the train station says the person at the amusement park lies. Mateo is at the amusement park. Does the person at the train station tell the truth? Does the person at the amusement park tell the truth? Does the person at the aquarium tell the truth? Think step by step, and then put your answer in **bold** as a list of three words, yes or no (for example, **yes, no, yes**). If you don't know, guess."], "task": "web_of_lies_v2"}
+{"question_id": "9ee37b9a04ab050936c86b2c5bb7abbaa0bc0e737d59a7bff9ba11e9b4069c1d", "category": "reasoning", "ground_truth": "yes, no, yes", "turns": ["In this question, assume each person either always tells the truth or always lies. Liam is at the movie theater. The person at the beach says the person at the restaurant tells the truth. Kehinde is at the aquarium. The person at the amusement park saw a firetruck. The person at the aquarium tells the truth. Luna is at the library. Jaxon is at the amusement park. The person at the amusement park says the person at the beach tells the truth. Anika is at the restaurant. The person at the barbershop tells the truth. The person at the observatory says the person at the planetarium lies. Hiroshi is at the beach. Isabella is at the planetarium. Nia is at the barbershop. The person at the movie theater says the person at the observatory lies. The person at the restaurant tells the truth. Max is at the observatory. The person at the library says the person at the amusement park tells the truth. The person at the planetarium says the person at the library tells the truth. Does the person at the movie theater tell the truth? Does the person at the observatory tell the truth? Does the person at the planetarium tell the truth? Think step by step, and then put your answer in **bold** as a list of three words, yes or no (for example, **yes, no, yes**). If you don't know, guess."], "task": "web_of_lies_v2"}
+{"question_id": "d7071c9ff5d9779e7ab955366d0ae8db40f785aadfe7ff0b5a7ede98c05c44ea", "category": "reasoning", "ground_truth": "no, no, yes", "turns": ["In this question, assume each person either always tells the truth or always lies. Liam is at the restaurant. The person at the observatory says the person at the botanical garden lies. Elowen is at the vineyard. The person at the library says the person at the botanical garden tells the truth. The person at the train station tells the truth. The person at the botanical garden saw a firetruck. The person at the botanical garden says the person at the train station lies. Jake is at the aquarium. Soren is at the farm. Theo is at the gym. The person at the train station saw a firetruck. Devika is at the train station. Kehinde is at the library. The person at the restaurant lies. The person at the farm says the person at the train station lies. The person at the gym says the person at the train station lies. Hiroshi is at the botanical garden. The person at the vineyard lies. The person at the aquarium says the person at the library tells the truth. Quan is at the observatory. Does the person at the library tell the truth? Does the person at the botanical garden tell the truth? Does the person at the train station tell the truth? Think step by step, and then put your answer in **bold** as a list of three words, yes or no (for example, **yes, no, yes**). If you don't know, guess."], "task": "web_of_lies_v2"}
+{"question_id": "92bb60ed8fe8f01ae8ed962c504f73b598e541a89fcb2d800685230220f44bd8", "category": "reasoning", "ground_truth": "yes, no, no", "turns": ["In this question, assume each person either always tells the truth or always lies. The person at the theater says the person at the airport lies. The person at the barbershop says the person at the school tells the truth. Hiroshi is at the school. Ryan is at the airport. Zara is at the botanical garden. The person at the train station tells the truth. Jake is at the observatory. The person at the airport thinks their friend is lying. Theo is at the theater. The person at the botanical garden says the person at the aquarium lies. Liam is at the train station. Grace is at the bowling alley. The person at the airport says the person at the bowling alley lies. Olivia is at the amusement park. The person at the observatory tells the truth. Elowen is at the aquarium. Farid is at the art gallery. The person at the airport says the person at the beach tells the truth. The person at the art gallery says the person at the barbershop lies. The person at the bowling alley says the person at the art gallery lies. Soren is at the barbershop. The person at the school tells the truth. The person at the aquarium says the person at the airport tells the truth. The person at the botanical garden saw a firetruck. The person at the bowling alley says the person at the amusement park tells the truth. The person at the airport saw a firetruck. Ayaan is at the beach. Does the person at the botanical garden tell the truth? Does the person at the aquarium tell the truth? Does the person at the airport tell the truth? Think step by step, and then put your answer in **bold** as a list of three words, yes or no (for example, **yes, no, yes**). If you don't know, guess."], "task": "web_of_lies_v2"}
+{"question_id": "36febbb33b3d28b8f75e1a7f798fcff09903e94a50b89da2dbf1ed160508c02c", "category": "reasoning", "ground_truth": "yes, yes, yes", "turns": ["In this question, assume each person either always tells the truth or always lies. Beatriz is at the vineyard. The person at the city hall says the person at the school lies. The person at the ice skating rink says the person at the school tells the truth. Quan is at the ice skating rink. The person at the amusement park says the person at the school tells the truth. Olivia is at the restaurant. The person at the vineyard says the person at the botanical garden tells the truth. The person at the vineyard says the person at the campground tells the truth. Charlie is at the campground. Soren is at the school. Grace is at the barbershop. The person at the school says the person at the vineyard tells the truth. The person at the barbershop says the person at the campground tells the truth. Mateo is at the amusement park. Tala is at the botanical garden. The person at the campground tells the truth. The person at the restaurant tells the truth. Devika is at the city hall. The person at the amusement park thinks their neighbor is telling the truth. The person at the amusement park thinks their friend is lying. Does the person at the amusement park tell the truth? Does the person at the school tell the truth? Does the person at the vineyard tell the truth? Think step by step, and then put your answer in **bold** as a list of three words, yes or no (for example, **yes, no, yes**). If you don't know, guess."], "task": "web_of_lies_v2"}
+```
+
+- Cree un nuevo método de puntuación en la `process_results` carpeta. Si es similar a una tarea existente, puede copiar la función de puntuación de esa tarea. Por ejemplo, `livebench/process_results/reasoning/web_of_lies_new_prompt/utils.py` puede ser una copia del método de `web_of_lies_v2` puntuación.
+- Agregue la función de puntuación aquí `gen_ground_truth_judgment.py` [](https://github.com/LiveBench/LiveBench/blob/93e3a7d4fa5bb164ef4cb58f67683e4e54554af9/livebench/gen_ground_truth_judgment.py#L124).
+
+- Ejecute y puntúe modelos mediante el `question-source jsonl` y especificando la tarea. Por ejemplo: 
+```bash 
+python gen_api_answer.py --bench-name live_bench/reasoning/web_of_lies_new_prompt --model claude-3-5-sonnet-20240620 --question-source jsonl
+python gen_ground_truth_judgment.py --bench-name live_bench/reasoning/web_of_lies_new_prompt --question-source jsonl
+python show_livebench_result.py --bench-name live_bench/reasoning/web_of_lies_new_prompt
+```
+
+## Documentación
+Aquí, describimos la documentación de nuestro conjunto de datos. Esta información también está disponible en nuestro documento.
+- [Responsabilidad del autor](docs/AUTHOR_RESPONSIBILITY.md)
+- [Código de Conducta](docs/CODE_OF_CONDUCT.md)
+- [Contribuyendo](docs/CONTRIBUTING.md)
+- [Hoja de datos de LiveBench](docs/DATASHEET.md)
+- [Plan de mantenimiento](docs/MAINTENANCE_PLAN.md)
+
+## Cita
+
+```bibtex
+@article{livebench,
+  author    = {White, Colin and Dooley, Samuel and Roberts, Manley and Pal, Arka and Feuer, Ben and Jain, Siddhartha and Shwartz-Ziv, Ravid and Jain, Neel and Saifullah, Khalid and Naidu, Siddartha and Hegde, Chinmay and LeCun, Yann and Goldstein, Tom and Neiswanger, Willie and Goldblum, Micah},
+  title     = {LiveBench: A Challenging, Contamination-Free LLM Benchmark},
+  url       = {arXiv preprint arXiv:2406.19314},
+  year      = {2024},
+}
+```

SPFsmartGATE/LIVE/TMP/LiveBench/README.md

@@ -0,0 +1,225 @@
+# LiveBench
+
+![Crates.io](https://img.shields.io/crates/l/Ap?color=orange)
+
+<p align="center">
+    <a href="https://livebench.ai/">🏆 Leaderboard</a> •
+    <a href="https://huggingface.co/livebench">💻 Data </a> •
+    <a href="https://arxiv.org/abs/2406.19314">📝 Paper</a> 
+</p>
+
+LiveBench appeared as a [Spotlight Paper](https://openreview.net/forum?id=sKYHBTAxVa) in ICLR 2025.
+
+Top models as of 30th September 2024 (for a full up-to-date leaderboard, see [here](https://livebench.ai/)):
+
+![image](assets/livebench-2024-09-30.png)
+
+Please see the [changelog](changelog.md) for details about each LiveBench release.
+
+## Table of Contents
+
+- [Introduction](#introduction)
+- [Installation Quickstart](#installation-quickstart)
+- [Usage](#usage)
+- [Data](#data)
+- [Adding New Questions](#adding-new-questions)
+- [Evaluating New Models and Configuring API Parameters](#evaluating-new-models-and-configuring-api-parameters)
+- [Documentation](#documentation)
+- [Citation](#citation)
+
+## Introduction
+
+Introducing LiveBench: a benchmark for LLMs designed with test set contamination and objective evaluation in mind.
+
+LiveBench has the following properties:
+
+* LiveBench is designed to limit potential contamination by releasing new questions monthly, as well as having questions based on recently-released datasets, arXiv papers, news articles, and IMDb movie synopses.
+* Each question has verifiable, objective ground-truth answers, allowing hard questions to be scored accurately and automatically, without the use of an LLM judge.
+* LiveBench currently contains a set of 18 diverse tasks across 6 categories, and we will release new, harder tasks over time.
+
+**We will evaluate your model!** Open an [issue](https://github.com/LiveBench/LiveBench/issues) or email us at [livebench@livebench.ai](mailto:livebench@livebench.ai)!
+
+## Installation Quickstart
+
+We recommend using a virtual environment to install LiveBench.
+```bash
+python -m venv .venv
+source .venv/bin/activate
+```
+
+To generate answers with API models (i.e. with `gen_api_answer.py`), conduct judgments, and show results:
+
+```bash
+cd LiveBench
+pip install -e .
+```
+
+To score results on the coding tasks (code_completion and code_generation), you will also need to install the required dependencies:
+```bash
+cd livebench/code_runner
+pip install -r requirements_eval.txt
+```
+
+Note that, to evaluate the agentic coding questions, you will need docker installed and available (i.e. the command `docker --version` should work).
+This will be checked prior to such tasks being run.
+
+**Note about local models**: Local model inference is unmaintained. We highly recommend serving your model on an OpenAI compatible API using [vllm](https://github.com/vllm-project/vllm) and performing inference using `run_livebench.py`.
+
+Our repo contains code from [LiveCodeBench](https://github.com/LiveCodeBench/LiveCodeBench) and [IFEval](https://github.com/Rohan2002/IFEval?tab=readme-ov-file).
+
+## Usage
+
+```bash
+cd livebench
+```
+
+### Running Evaluations
+
+The simplest way to run LiveBench inference and scoring is using the `run_livebench.py` script, which handles the entire evaluation pipeline including generating answers, scoring them, and showing results.
+
+Basic usage:
+```bash
+python run_livebench.py --model gpt-4o --bench-name live_bench/coding --livebench-release-option 2024-11-25
+```
+
+Some common options:
+- `--bench-name`: Specify which subset(s) of questions to use (e.g. `live_bench` for all questions, `live_bench/coding` for coding tasks only)
+- `--model`: The model to evaluate
+- `--max-tokens`: Maximum number of tokens in model responses (defaults to 4096 unless overriden for specific models)
+- `--api-base`: Custom API endpoint for OpenAI-compatible servers
+- `--api-key-name`: Environment variable name containing the API key (defaults to OPENAI_API_KEY for OpenAI models)
+- `--api-key`: Raw API key value
+- `--parallel-requests`: Number of concurrent API requests (for models with high rate limits)
+- `--resume`: Continue from a previous interrupted run
+- `--retry-failures`: Retry questions that failed in previous runs
+- `--livebench-release-option`: Evaluate questions from a specific LiveBench release
+
+Run `python run_livebench.py --help` to see all available options.
+
+When this is finished, follow along with [Viewing Results](#viewing-results) to view results.
+
+**Note: The current LiveBench release is 2025-04-25; however, not all questions for this release are public on Huggingface. In order to evaluate all categories, you will need to pass `--livebench-release-option 2024-11-25` to all scripts to use the most recent public questions.**
+
+**Note: Evaluation of the agentic coding tasks require the building of task-specific Docker images. Storing all of these images may take up to 150GB. Images are needed both for inference and evaluation. In the future we will work on optimizing the evaluation process for this task to minimize storage requirements.**
+
+#### Parallel Evaluation Options
+
+LiveBench provides two different arguments for parallelizing evaluations, which can be used independently or together:
+
+- `--mode parallel`: Runs separate tasks/categories in parallel by creating multiple tmux sessions. Each category or task runs in its own terminal session, allowing simultaneous evaluation across different benchmark subsets. This also parallelizes the ground truth evaluation phase. By default, this will create one session for each category; if `--bench-name` is supplied, there will be one session for each value of `--bench-name`.
+
+- `--parallel-requests`: Sets the number of concurrent questions to be answered within a single task evaluation instance. This controls how many API requests are made simultaneously for a specific task.
+
+**When to use which option:**
+
+- **For high rate limits (e.g., commercial APIs with high throughput):**
+  - Use both options together for maximum throughput when evaluating the full benchmark.
+  - For example: `python run_livebench.py --model gpt-4o --bench-name live_bench --mode parallel --parallel-requests 10`
+
+- **For lower rate limits:**
+  - When running the entire LiveBench suite, `--mode parallel` is recommended to parallelize across categories, even if `--parallel-requests` must be kept low.
+  - For small subsets of tasks, `--parallel-requests` may be more efficient as the overhead of creating multiple tmux sessions provides less benefit.
+  - Example for lower rate limits on full benchmark: `python run_livebench.py --model claude-3-5-sonnet --bench-name live_bench --mode parallel --parallel-requests 2`
+
+- **For single task evaluation:**
+  - When running just one or two tasks, use only `--parallel-requests`: `python run_livebench.py --model gpt-4o --bench-name live_bench/coding --parallel-requests 10`
+
+Note that `--mode parallel` requires tmux to be installed on your system. The number of tmux sessions created will depend on the number of categories or tasks being evaluated.
+
+### Viewing Results
+
+You can view the results of your evaluations using the `show_livebench_result.py` script:
+
+```bash
+python show_livebench_result.py --bench-name <bench-name> --model-list <model-list> --question-source <question-source> --livebench-release-option 2024-11-25
+```
+
+`<model-list>` is a space-separated list of model IDs to show. For example, to show the results of gpt-4o and claude-3-5-sonnet on coding tasks, run:
+```bash
+python show_livebench_result.py --bench-name live_bench/coding --model-list gpt-4o claude-3-5-sonnet
+```
+
+Multiple `--bench-name` values can be provided to see scores on specific subsets of benchmarks:
+```bash
+python show_livebench_result.py --bench-name live_bench/coding live_bench/math --model-list gpt-4o
+```
+
+If no `--model-list` argument is provided, all models will be shown. The `--question-source` argument defaults to `huggingface` but should match what was used during evaluation, as should `--livebench-release-option`.
+
+The leaderboard will be displayed in the terminal. You can also find the breakdown by category in `all_groups.csv` and by task in `all_tasks.csv`.
+
+### Error Checking
+
+The `scripts/error_check.py` script will print out questions for which a model's output is `$ERROR$`, which indicates repeated API call failures.
+You can use the `scripts/rerun_failed_questions.py` script to rerun the failed questions, or run `run_livebench.py` as normal with the `--resume` and `--retry-failures` arguments.
+
+By default, LiveBench will retry API calls three times and will include a delay in between attempts to account for rate limits. If the errors seen during evaluation are due to rate limits, you may need to switch to `--mode single` or `--mode sequential` and decrease the value of `--parallel-requests`. If after multiple attempts, the model's output is still `$ERROR$`, it's likely that the question is triggering some content filter from the model's provider (Gemini models are particularly prone to this, with an error of `RECITATION`). In this case, there is not much that can be done. We consider such failures to be incorrect responses.
+
+## Data
+The questions for each of the categories can be found below:
+- [Reasoning](https://huggingface.co/datasets/livebench/reasoning)
+- [Math](https://huggingface.co/datasets/livebench/math)
+- [Coding](https://huggingface.co/datasets/livebench/coding)
+- [Language](https://huggingface.co/datasets/livebench/language)
+- [Data Analysis](https://huggingface.co/datasets/livebench/data_analysis)
+- [Instruction Following](https://huggingface.co/datasets/livebench/instruction_following)
+
+Also available are the [model answers](https://huggingface.co/datasets/livebench/model_answer) and the [model judgments](https://huggingface.co/datasets/livebench/model_judgment).
+
+To download the `question.jsonl` files (for inspection) and answer/judgment files from the leaderboard, use
+```bash
+python download_questions.py
+python download_leaderboard.py
+```
+
+Questions will be downloaded to `livebench/data/<category>/question.jsonl`.
+
+## Evaluating New Questions
+If you want to create your own set of questions, or try out different prompts, etc, follow these steps:
+
+- Create a `question.jsonl` file with the following path (or, run `python download_questions.py` and update the downloaded file): `livebench/data/live_bench/<category>/<task>/question.jsonl`. For example, `livebench/data/reasoning/web_of_lies_new_prompt/question.jsonl`. Here is an example of the format for `question.jsonl` (it's the first few questions from [web_of_lies_v2](https://huggingface.co/datasets/livebench/reasoning)):
+
+```jsonl
+{"question_id": "0daa7ca38beec4441b9d5c04d0b98912322926f0a3ac28a5097889d4ed83506f", "category": "reasoning", "ground_truth": "no, yes, yes", "turns": ["In this question, assume each person either always tells the truth or always lies. Tala is at the movie theater. The person at the restaurant says the person at the aquarium lies. Ayaan is at the aquarium. Ryan is at the botanical garden. The person at the park says the person at the art gallery lies. The person at the museum tells the truth. Zara is at the museum. Jake is at the art gallery. The person at the art gallery says the person at the theater lies. Beatriz is at the park. The person at the movie theater says the person at the train station lies. Nadia is at the campground. The person at the campground says the person at the art gallery tells the truth. The person at the theater lies. The person at the amusement park says the person at the aquarium tells the truth. Grace is at the restaurant. The person at the aquarium thinks their friend is lying. Nia is at the theater. Kehinde is at the train station. The person at the theater thinks their friend is lying. The person at the botanical garden says the person at the train station tells the truth. The person at the aquarium says the person at the campground tells the truth. The person at the aquarium saw a firetruck. The person at the train station says the person at the amusement park lies. Mateo is at the amusement park. Does the person at the train station tell the truth? Does the person at the amusement park tell the truth? Does the person at the aquarium tell the truth? Think step by step, and then put your answer in **bold** as a list of three words, yes or no (for example, **yes, no, yes**). If you don't know, guess."], "task": "web_of_lies_v2"}
+```
+
+- If adding a new task, create a new scoring method in the `process_results` folder. If it is similar to an existing task, you can copy that task's scoring function. For example, `livebench/process_results/reasoning/web_of_lies_new_prompt/utils.py` can be a copy of the `web_of_lies_v2` scoring method.
+- Add the scoring function to `gen_ground_truth_judgment.py` [here](https://github.com/LiveBench/LiveBench/blob/93e3a7d4fa5bb164ef4cb58f67683e4e54554af9/livebench/gen_ground_truth_judgment.py#L124).
+
+- Run and score models using `--question-source jsonl` and specifying your task. For example: 
+```bash 
+python gen_api_answer.py --bench-name live_bench/reasoning/web_of_lies_new_prompt --model claude-3-5-sonnet --question-source jsonl
+python gen_ground_truth_judgment.py --bench-name live_bench/reasoning/web_of_lies_new_prompt --question-source jsonl
+python show_livebench_result.py --bench-name live_bench/reasoning/web_of_lies_new_prompt
+```
+
+## Evaluating New Models and Configuring API Parametersdee
+
+Any API-based model for which there is an OpenAI compatible endpoint should work out of the box using the `--api-base` and `--api-key` (or `--api-key-name`) arguments. If you'd like to override the name of the model for local files (e.g. saving it as `deepseek-v3` instead of `deepseek-chat`), use the `--model-display-name` argument. You can also override values for temperature and max tokens using the `--force-temperature` and `--max-tokens` arguments, respectively.
+
+If you'd like to have persistent model configuration without needing to specify command-line arguments, you can create a model configuration document in a yaml file in `livebench/model/model_configs`. See the other files there for examples of the necessary format. Important values are `model_display_name`, which determines the answer .jsonl file name and model ID used for other scripts, and `api_name`, which provides a mapping between API providers and names for the model in that API. For instance, Deepseek R1 can be evaluated using the Deepseek API with a name of `deepseek-reasoner` and the Together API with a name of `deepseek-ai/deepseek-r1`. `api_kwargs` allows you to set overrides for parameters such as temperature, max tokens, and top p, for all providers or for specific ones. Once this is set, you can use `--model <model_name>` with the `model_display_name` value you put in the yaml document when running `run_livebench.py`.
+
+When performing inference, use the `--model-provider-override` argument to override the provider you'd like to use for the model.
+
+We have also implemented inference for Anthropic, Cohere, Mistral, Together, and Google models, so those should also all work immediately either by using `--model-provider-override` or adding a new entry to the appropriate configuration file.
+
+If you'd like to use a model with a new provider that is not OpenAI-compatible, you will need to implement a new completions function in `completions.py` and add it to `get_api_function` in that file; then, you can use it in your model configuration.
+
+## Documentation
+Here, we describe our dataset documentation. This information is also available in our paper.
+- [Author Responsibility](docs/AUTHOR_RESPONSIBILITY.md)
+- [Code of Conduct](docs/CODE_OF_CONDUCT.md)
+- [Contributing](docs/CONTRIBUTING.md)
+- [Datasheet for LiveBench](docs/DATASHEET.md)
+- [Maintenance Plan](docs/MAINTENANCE_PLAN.md)
+
+## Citation
+
+```bibtex
+@inproceedings{livebench,
+  title={LiveBench: A Challenging, Contamination-Free {LLM} Benchmark},
+  author={Colin White and Samuel Dooley and Manley Roberts and Arka Pal and Benjamin Feuer and Siddhartha Jain and Ravid Shwartz-Ziv and Neel Jain and Khalid Saifullah and Sreemanti Dey and Shubh-Agrawal and Sandeep Singh Sandha and Siddartha Venkat Naidu and Chinmay Hegde and Yann LeCun and Tom Goldstein and Willie Neiswanger and Micah Goldblum},
+  booktitle={The Thirteenth International Conference on Learning Representations},
+  year={2025},
+}
+```

SPFsmartGATE/LIVE/TMP/LiveBench/changelog.md

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+## Changelog
+
+### 2026-01-08
+Added a new math task (Integrals with Game) and a new data analysis task (consecutive events)
+- This version includes a new math task which introduces a game theory problem integraded with integral calculations.
+- We also introduce a new data analysis task (consecutive events) which test the LLMs on detecting specific events.
+ 
+### 2025-12-23
+Added a new reasoning task: Logic with Navigation
+- Tests model to solve a logic problem, and then navigate in the 2D space. 
+
+### 2025-11-25
+This update refreshed some existing tasks and updated others to resolve (to some extent) saturation and contamination of the benchmark.
+ - Updated connections with new tasks from more recent puzzles
+ - Updated math_comp and olympiad with new questions from more recent competitions
+ - Updated the instruction following tasks with both newer articles as well as new, more difficult types of instructions, and resolved issues with impossible tasks
+ - Updated zebra_puzzle with newer, more difficult puzzles
+ - Replaced web_of_lies_v3 with theory_of_mind, a new task to evaluate LLM's ability to reason about the internal states of other people in their environments
+
+### 2025-10-03
+Switched the agent used for agentic coding to [Mini-SWE-Agent](https://mini-swe-agent.com/latest/) instead of SWE-Agent due to its simpler design, consistent interface with all models, and easier maintainability. Additionally, we updated the step limit to 250 rather than 50. The agentic coding tasks were rerun for all models with these changes and the existing 2025-05-30 leaderboard was updated with the new results.
+
+### 2025-05-30
+This update introduces a new agentic coding category, where models must operate in a multi-turn, realistic development environment to resolve issues from real Github repositories. It contains Python, JavaScript, and TypeScript tasks, and we plan to add more tasks and languages in the future. Inference is performed using the [SWE-Agent](https://swe-agent.com) framework, and evaluation uses the [Multi-SWE-Bench](https://multi-swe-bench.github.io/#/) harness. This task provides the most realistic possible evaluation of LLM coding capabilities and prediction of which will be most useful for developers.
+
+Note: SWE-Agent was run with a 50-step limit for all models during this evaluation. In some cases, it's likely that scores would have improved were models given more time to complete the tasks.
+
+### 2025-04-25
+ - Completely new coding questions focused on evaluating usage of real-world libraries in realistic scenarios. Questions are no longer sourced from LiveCodeBench. The tasks themselves are the same; we still have a full code generation task and a code completion task.
+ - Refeshed data analysis tasks, specifically for the tablejoin and tablereformat tasks. The cta task has been retired.
+
+### 2025-04-02
+ - Refreshed coding questions (coding_completion and LCB_generation) with *much* newer questions from LiveCodeBench. The previous questions were likely heavily contaminated for newer models. LiveCodeBench also increases question difficulty over time.
+ - Refreshed typos and plot_unscrambling questions with newer ArXiv papers and movie plots from Wikipedia, respectively. Issues in the typos question generation script were also fixed, so that all questions can be fairly evaluated
+ - Replaced 2023 AMC questions with 2024 AMC questions in math_comp
+ - Updated web_of_lies with a mix of harder questions of the previous web_of_lies_v2 format and the new format from [BIG-Bench Extra Hard](https://github.com/google-deepmind/bbeh)
+ - All new questions ask for answers in the `<solution></solution>` format.
+
+### 2024-11-25
+This update focused on refreshing questions to check for contamination and increasing the difficulty of tasks for which o1 (and other reasoning models) achieved very high scores.
+ - Refreshed the instruction following tasks with new articles from The Guardian
+ - Updated IF question generation to include 3 instructions per task on average (previously 2)
+ - Refreshed Connections task with new puzzles from NYT
+ - Updated Connections generation to more frequently ask for more groups
+ - Regenerated Zebra Puzzles, skewing towards larger board sizes and more complex constraints
+ - Updated Connections and Zebra Puzzles questions to require answers to be in `<solution></solution>` tags rather than bolded
+
+### 2024-08-31
+
+This update focused on refreshing question sources for all three math tasks. 
+ - A portion of the questions for AMPS_Hard were updated, to increase the difficulty, add new types of questions, and to remove previous ambiguity in the questions.
+ - All olympiad questions were fully updated to use IMO 2024 and USAMO 2024 questions as the source, replacing the IMO/USAMO 2023 questions. These questions were also made harder.
+ - All 50 AMC 2023 problems were updated to rearrange the multiple choice answer order, and to update the prose and proper nouns in the questions.
+
+### 2024-07-26
+
+This update included new questions for the coding completion and LCB generation tasks. It also introduced a new spatial reasoning task that judges models' ability to reason about 2D and 3D shapes. Examples of questions from this task can be seen below:
+
+ > Suppose I have a physical, solid square with vertices ABCD, and I make two cuts through AC and BD. Of the resulting pieces, how many triangles are there?  Think step by step, and then put your answer in **bold** as a single integer (for example, **0**). If you don't know, guess.
+
+ > Suppose I have three solid spheres of radius 5 resting on a plane. Each sphere is tangent to the other two spheres. Now I add a fourth solid sphere of radius 6 in such a way that maximizes the number of tangent points among all pairs of spheres. If I consider a new shape whose vertices are exactly the centers of the four spheres, what is this new shape? Is it a square, tetrahedron, circle, triangle, rectangle, sphere, rhombus, or rectangular pyramid? Think step by step, and then put your answer in **bold** as a single phrase (for example, **sphere**). If you don't know, guess.
+
+We found this task to be very difficult for LLMs and a good indicator of reasoning capabilities.
+This brought the total number of questions to 1000, and all future updates add and remove the same number, to stay at 1000 total questions.
+
+### 2024-06-24
+
+Removed house traversal task. We discovered ambiguity in the parsing of the answers, and upon fixing it, some models achieved 100% on the task. This made it unsuitable for LiveBench, which aims to only include tasks that are very challenging for even the current best LLMs.
+
+### 2024-06-12
+
+Introducing **LiveBench**: a benchmark for LLMs designed with test set contamination and objective evaluation in mind
+
+LiveBench has the following properties:
+
+ - LiveBench is designed to limit potential contamination by releasing new questions monthly, as well as having questions based on recently-released datasets, arXiv papers, news articles, and IMDb movie synopses.
+ - Each question has verifiable, objective ground-truth answers, allowing hard questions to be scored accurately and automatically, without the use of an LLM judge.
+ - LiveBench currently contains a set of 17 diverse tasks across 6 categories, and we will release new, harder tasks over time.
+
+Today, we release the initial batch of 960 questions and plan to release sets of questions every month. By doing this, we aim for LiveBench to be free from contamination, since every release will have novel questions.
+
+
+In addition to contamination, LiveBench avoids the pitfalls of LLM judging by including only questions that have an objective answer. While LLM judging and crowdsourced prompts and evaluations have many benefits, they also introduce significant biases and completely break down when judging the answers to hard questions. For example, we show in our paper that for challenging reasoning and math problems, the pass/fail judgments from GPT-4-Turbo have an error rate of up to 46%.
+
+![changelog-img](assets/livebench-2024-09-30.png)
+
+LiveBench currently evaluates several prominent closed-source models and dozens of open-weight models ranging from 0.5B to 70B in size. LiveBench questions are difficult; for example, GPT-4-Turbo achieves around 50% accuracy on LiveBench overall. Furthermore, in our monthly updates, we will release new tasks and harder versions of tasks over time so that LiveBench can distinguish between the capabilities of LLMs as they improve in the future.
+
+We release all questions, code, and model answers, and we welcome community engagement and collaboration for expanding the benchmark tasks and models.

SPFsmartGATE/LIVE/TMP/LiveBench/docs/AUTHOR_RESPONSIBILITY.md

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+# Author Responsibility
+
+We, the authors, bear all responsibility in case of violation of rights. The license of our repository is the Apache License 2.0. For more information, see the full [license](https://github.com/LiveBench/LiveBench/blob/main/LICENSE).

SPFsmartGATE/LIVE/TMP/LiveBench/docs/CODE_OF_CONDUCT.md

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+# Contributor Covenant Code of Conduct
+
+Our Code of Conduct is from the Contributor Covenant, version 2.1. See https://www.contributor-covenant.org/version/2/1/code_of_conduct/. This was created by Coraline Ada Ehmke in 2014 and is released under the CC BY 4.0 License. The policy is copied below.
+
+# Contributor Covenant Code of Conduct
+
+## Our Pledge
+
+We as members, contributors, and leaders pledge to make participation in our
+community a harassment-free experience for everyone, regardless of age, body
+size, visible or invisible disability, ethnicity, sex characteristics, gender
+identity and expression, level of experience, education, socio-economic status,
+nationality, personal appearance, race, caste, color, religion, or sexual
+identity and orientation.
+
+We pledge to act and interact in ways that contribute to an open, welcoming,
+diverse, inclusive, and healthy community.
+
+## Our Standards
+
+Examples of behavior that contributes to a positive environment for our
+community include:
+
+* Demonstrating empathy and kindness toward other people
+* Being respectful of differing opinions, viewpoints, and experiences
+* Giving and gracefully accepting constructive feedback
+* Accepting responsibility and apologizing to those affected by our mistakes,
+  and learning from the experience
+* Focusing on what is best not just for us as individuals, but for the overall
+  community
+
+Examples of unacceptable behavior include:
+
+* The use of sexualized language or imagery, and sexual attention or advances of
+  any kind
+* Trolling, insulting or derogatory comments, and personal or political attacks
+* Public or private harassment
+* Publishing others' private information, such as a physical or email address,
+  without their explicit permission
+* Other conduct which could reasonably be considered inappropriate in a
+  professional setting
+
+## Enforcement Responsibilities
+
+Community leaders are responsible for clarifying and enforcing our standards of
+acceptable behavior and will take appropriate and fair corrective action in
+response to any behavior that they deem inappropriate, threatening, offensive,
+or harmful.
+
+Community leaders have the right and responsibility to remove, edit, or reject
+comments, commits, code, wiki edits, issues, and other contributions that are
+not aligned to this Code of Conduct, and will communicate reasons for moderation
+decisions when appropriate.
+
+## Scope
+
+This Code of Conduct applies within all community spaces, and also applies when
+an individual is officially representing the community in public spaces.
+Examples of representing our community include using an official e-mail address,
+posting via an official social media account, or acting as an appointed
+representative at an online or offline event.
+
+## Enforcement
+
+Instances of abusive, harassing, or otherwise unacceptable behavior may be
+reported to the community leaders responsible for enforcement at
+[INSERT CONTACT METHOD].
+All complaints will be reviewed and investigated promptly and fairly.
+
+All community leaders are obligated to respect the privacy and security of the
+reporter of any incident.
+
+## Enforcement Guidelines
+
+Community leaders will follow these Community Impact Guidelines in determining
+the consequences for any action they deem in violation of this Code of Conduct:
+
+### 1. Correction
+
+**Community Impact**: Use of inappropriate language or other behavior deemed
+unprofessional or unwelcome in the community.
+
+**Consequence**: A private, written warning from community leaders, providing
+clarity around the nature of the violation and an explanation of why the
+behavior was inappropriate. A public apology may be requested.
+
+### 2. Warning
+
+**Community Impact**: A violation through a single incident or series of
+actions.
+
+**Consequence**: A warning with consequences for continued behavior. No
+interaction with the people involved, including unsolicited interaction with
+those enforcing the Code of Conduct, for a specified period of time. This
+includes avoiding interactions in community spaces as well as external channels
+like social media. Violating these terms may lead to a temporary or permanent
+ban.
+
+### 3. Temporary Ban
+
+**Community Impact**: A serious violation of community standards, including
+sustained inappropriate behavior.
+
+**Consequence**: A temporary ban from any sort of interaction or public
+communication with the community for a specified period of time. No public or
+private interaction with the people involved, including unsolicited interaction
+with those enforcing the Code of Conduct, is allowed during this period.
+Violating these terms may lead to a permanent ban.
+
+### 4. Permanent Ban
+
+**Community Impact**: Demonstrating a pattern of violation of community
+standards, including sustained inappropriate behavior, harassment of an
+individual, or aggression toward or disparagement of classes of individuals.
+
+**Consequence**: A permanent ban from any sort of public interaction within the
+community.
+
+## Attribution
+
+This Code of Conduct is adapted from the [Contributor Covenant][homepage],
+version 2.1, available at
+[https://www.contributor-covenant.org/version/2/1/code_of_conduct.html][v2.1].
+
+Community Impact Guidelines were inspired by
+[Mozilla's code of conduct enforcement ladder][Mozilla CoC].
+
+For answers to common questions about this code of conduct, see the FAQ at
+[https://www.contributor-covenant.org/faq][FAQ]. Translations are available at
+[https://www.contributor-covenant.org/translations][translations].
+
+[homepage]: https://www.contributor-covenant.org
+[v2.1]: https://www.contributor-covenant.org/version/2/1/code_of_conduct.html
+[Mozilla CoC]: https://github.com/mozilla/diversity
+[FAQ]: https://www.contributor-covenant.org/faq
+[translations]: https://www.contributor-covenant.org/translations

SPFsmartGATE/LIVE/TMP/LiveBench/docs/CONTRIBUTING.md

@@ -0,0 +1,22 @@
+# Contributing to LiveBench
+
+Thanks for taking the time to contribute!
+
+## Reporting bugs
+
+To report a bug, please [open an issue](https://github.com/LiveBench/LiveBench/issues) or email the authors.
+When you are creating a bug report, please include as many details as possible. 
+For example, describe the bug, include a small script to reproduce the bug, and give the expected behavior of the script.
+
+## Code contribution
+
+Contributions are welcome! Feel free to open a pull request to the main branch.
+
+## Model contribution
+
+We'd be happy to add more models to the leaderboard (depending on demand). Please send your model or evals requests to [livebenchai@gmail.com](mailto:livebenchai@gmail.com) in one of these formats 
+
+- Huggingface model, while also telling us the [fastchat model adapter](https://github.com/lm-sys/FastChat/blob/main/fastchat/model/model_adapter.py) to use
+- API endpoint, ideally using the OpenAI api format (If not, please submit a PR with the necessary code changes to run this model)
+- The above methods are preferred, but you can also send instructions on how to run your model if it differs from the above methods.
+- If you want to run the model yourself, please evaluate it using the commands in the [README](https://github.com/LiveBench/LiveBench?tab=readme-ov-file#usage), and then send us the model_answer jsonl files. You can simply zip the `data/live_bench` folder that is created when you evaluate your model.

SPFsmartGATE/LIVE/TMP/LiveBench/docs/DATASHEET.md

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+# Datasheet for LiveBench
+
+We include a [Datasheet](https://arxiv.org/abs/1803.09010). 
+Thanks for the Markdown template from [Christian Garbin's repository](https://github.com/fau-masters-collected-works-cgarbin/datasheet-for-dataset-template).
+
+Jump to section:
+
+- [Motivation](#motivation)
+- [Dataset Composition](#dataset-composition)
+- [Collection Process](#collection-process)
+- [Data Preprocessing](#data-preprocessing)
+- [Data Distribution](#data-distribution)
+- [Dataset Maintenance](#dataset-maintenance)
+- [Legal and Ethical Considerations](#legal-and-ethical-considerations)
+
+## Motivation
+
+### Why was the datasheet created? (e.g., was there a specific task in mind? was there a specific gap that needed to be filled?)
+
+The goal of releasing LiveBench is to accelerate research in LLMs by introducing a benchmark that avoids the pitfalls of test set contamination and LLM judging. Specifically, many existing benchmarks are either static, and therefore may become obsolete as new LLMs train on their test data, or use humans or LLMs to create prompts or judgments, which introduces errors and biases. LiveBench avoids all of these issues, and it is also diverse, with six different categories: math, reasoning, coding, data analysis, language, and instruction following.
+
+### Has the dataset been used already? If so, where are the results so others can compare (e.g., links to published papers)?
+
+The benchmark is new, and it has only been used by us in an initial evaluation of 34 LLMs. We have released all of the results, including raw model outputs and judgments.
+
+### What (other) tasks could the dataset be used for?
+
+The dataset consists of questions meant for LLMs, and we do not foresee it being very useful for anything other than evaluating ML models. The raw model outputs we released could potentially be used to fine-tune LLMs, for example with DPO. 
+
+
+### Who funded the creation of the dataset? 
+
+This benchmark was funded by Abacus.AI.
+
+### Any other comments?
+
+None.
+
+## Dataset Composition
+
+### What are the instances?(that is, examples; e.g., documents, images, people, countries) Are there multiple types of instances? (e.g., movies, users, ratings; people, interactions between them; nodes, edges)
+
+Each instance is an English language question. Other than the question, there is the ground truth and other metadata.
+
+### How many instances are there in total (of each type, if appropriate)?
+
+There are 960 total questions. For a breakdown of the number of questions per task, see the our paper.
+
+### What data does each instance consist of ? “Raw” data (e.g., unprocessed text or images)? Features/attributes? Is there a label/target associated with instances? If the instances are related to people, are subpopulations identified (e.g., by age, gender, etc.) and what is their distribution?
+
+The data consists of English language questions. There is a ground truth associated with each instance. The instances are not related to people.
+
+### Is any information missing from individual instances? If so, please provide a description, explaining why this information is missing (e.g., because it was unavailable). This does not include intentionally removed information, but might include, e.g., redacted text.
+
+There is no missing information.
+
+### Are relationships between individual instances made explicit (e.g., users’ movie ratings, social network links)? If so, please describe how these relationships are made explicit.
+
+There are no relationships between individual instances.
+
+### Does the dataset contain all possible instances or is it a sample (not necessarily random) of instances from a larger set? If the dataset is a sample, then what is the larger set? Is the sample representative of the larger set (e.g., geographic coverage)? If so, please describe how this representativeness was validated/verified. If it is not representative of the larger set, please describe why not (e.g., to cover a more diverse range of instances, because instances were withheld or unavailable).
+
+For many tasks, the instances are samples generated from a distribution, or they contain data drawn from a set. For example, the coding questions consists of only medium and hard questions from LeetCode (via LiveCodeBench) which also had answers on GitHub. See our paper for the full details of how questions were sampled for each task.
+
+### Are there recommended data splits (e.g., training, development/validation, testing)? If so, please provide a description of these splits, explaining the rationale behind them.
+
+The benchmark is not meant to be used for training; it is meant for evaluation only. So, all 960 questions are meant as a test set. Although, the benchmark as a whole is also meant to be more immune to unintentional or intentional contamination, by having monthly udates and using recent information sources for questions.
+
+### Are there any errors, sources of noise, or redundancies in the dataset? If so, please provide a description.
+
+There are no known errors, sources of noise, or redundancies.
+
+### Is the dataset self-contained, or does it link to or otherwise rely on external resources (e.g., websites, tweets, other datasets)? If it links to or relies on external resources, a) are there guarantees that they will exist, and remain constant, over time; b) are there official archival versions of the complete dataset (i.e., including the external resources as they existed at the time the dataset was created); c) are there any restrictions (e.g., licenses, fees) associated with any of the external resources that might apply to a future user? Please provide descriptions of all external resources and any restrictions associated with them, as well as links or other access points, as appropriate.
+
+The dataset is self-contained.
+
+### Any other comments?
+
+None.
+
+
+## Collection Process
+
+
+### What mechanisms or procedures were used to collect the data (e.g., hardware apparatus or sensor, manual human curation, software program, software API)? How were these mechanisms or procedures validated?
+
+Each task was created in a different way. Some were created with software alone, such as Web of Lies V2 and House Traversal. Some were created with a mix of software and an API that pulls certain information, such as plot unscrambling or typo correction. In many cases, the software has validation to make sure the ground truth is correct, and we also validated questions ourselves.
+
+### How was the data associated with each instance acquired? Was the data directly observable (e.g., raw text, movie ratings), reported by subjects (e.g., survey responses), or indirectly inferred/derived from other data (e.g., part-of-speech tags, model-based guesses for age or language)? If data was reported by subjects or indirectly inferred/derived from other data, was the data validated/verified? If so, please describe how.
+ 
+Some of the questions use recent data, such as datasets from Kaggle, abstracts from arXiv, or movie synopses from IMDb. These were collected with their respective APIs.
+
+### If the dataset is a sample from a larger set, what was the sampling strategy (e.g., deterministic, probabilistic with specific sampling probabilities)?
+ 
+In most cases, the sampling was probabilitic with certain sampling probabilities. In some cases such as the Connections questions, we used the 50 most recent puzzles.
+
+### Who was involved in the data collection process (e.g., students, crowdworkers, contractors) and how were they compensated (e.g., how much were crowdworkers paid)?
+ 
+The creation of LiveBench was done by the authors of this work.
+
+### Over what timeframe was the data collected? Does this timeframe match the creation timeframe of the data associated with the instances (e.g., recent crawl of old news articles)? If not, please describe the timeframe in which the data associated with the instances was created.
+ 
+The timeframe for constructing the initial LiveBench release was from April 1, 2024 to June 12, 2024.
+Most questions consist of only the question or only data after April 1, 2024.
+There are some tasks that contain information from before April 1, 2024, for example, some IMO questions in the math section are from July 2, 2023. 
+
+## Data Preprocessing
+
+### Was any preprocessing/cleaning/labeling of the data done (e.g., discretization or bucketing, tokenization, part-of-speech tagging, SIFT feature extraction, removal of instances, processing of missing values)? If so, please provide a description. If not, you may skip the remainder of the questions in this section.
+
+There was no preprocessing done on the questions.
+
+### Was the "raw" data saved in addition to the preprocessed/cleaned/labeled data (e.g., to support unanticipated future uses)? If so, please provide a link or other access point to the “raw” data.
+
+There was no preprocessing done. The raw model answers are available at https://huggingface.co/datasets/livebench/model_answer.
+
+### Is the software used to preprocess/clean/label the instances available? If so, please provide a link or other access point.
+
+N/A
+
+### Does this dataset collection/processing procedure achieve the motivation for creating the dataset stated in the first section of this datasheet? If not, what are the limitations?
+ 
+We hope that the release of this benchmark will achieve our goal of accelerating research in LLMs by introducing a benchmark that avoids the pitfalls of test set contamination and LLM judging. Time will tell whether our suite will be adopted by the community.
+
+### Any other comments
+ 
+None.
+
+## Dataset Distribution
+
+### How will the dataset be distributed? (e.g., tarball on website, API, GitHub; does the data have a DOI and is it archived redundantly?)
+ 
+The data is available on HuggingFace at https://huggingface.co/livebench.
+
+### When will the dataset be released/first distributed? What license (if any) is it distributed under?
+ 
+The benchmark suite is public as of June 12, 2024, distributed under the Apache License 2.0.
+
+### Are there any copyrights on the data?
+ 
+There are no copyrights on the data.
+
+### Are there any fees or access/export restrictions?
+ 
+There are no fees or restrictions.
+
+### Any other comments?
+ 
+None.
+
+## Dataset Maintenance
+
+### Who is supporting/hosting/maintaining the dataset?
+ 
+The authors of this work are supporting/hosting/maintaining the dataset.
+
+### Will the dataset be updated? If so, how often and by whom?
+
+The dataset will be updated monthly with new questions, including new tasks and harder versions of the current tasks. We also plan to run new LLMs on the benchmark as new LLMs are released. We also welcome contributions from the community. See our contributing policy for more details.
+
+### How will updates be communicated? (e.g., mailing list, GitHub)
+ 
+Updates will be communicated on the GitHub README: https://github.com/LiveBench/LiveBench.
+
+### If the dataset becomes obsolete how will this be communicated?
+ 
+If the dataset becomes obsolete, it will be communicated on the GitHub README: https://github.com/LiveBench/LiveBench.
+
+### If others want to extend/augment/build on this dataset, is there a mechanism for them to do so? If so, is there a process for tracking/assessing the quality of those contributions. What is the process for communicating/distributing these contributions to users?
+ 
+Others can create a pull request on GitHub with possible extensions to our benchmark, which will be approved case-by-case. These updates will again be communicated on the GitHub README.
+
+
+## Legal and Ethical Considerations
+
+### Were any ethical review processes conducted (e.g., by an institutional review board)? If so, please provide a description of these review processes, including the outcomes, as well as a link or other access point to any supporting documentation.
+ 
+There was no ethical review process. Note that our data does not involve human subjects.
+
+### Does the dataset contain data that might be considered confidential (e.g., data that is protected by legal privilege or by doctorpatient confidentiality, data that includes the content of individuals non-public communications)? If so, please provide a description.
+ 
+The datasets do not contain any confidential data.
+
+### Does the dataset contain data that, if viewed directly, might be offensive, insulting, threatening, or might otherwise cause anxiety? If so, please describe why.
+ 
+None of the data might be offensive, insulting, threatening, or otherwise cause anxiety.
+
+### Does the dataset relate to people? If not, you may skip the remaining questions in this section.
+ 
+The datasets do not relate to people.
+
+### Any other comments?
+ 
+None.
+
+
+
+
+
+
+
+

SPFsmartGATE/LIVE/TMP/LiveBench/docs/MAINTENANCE_PLAN.md

@@ -0,0 +1,9 @@
+# Maintenance Plan
+
+The dataset is available on HuggingFace at https://huggingface.co/livebench.
+
+Also available are the [model answers](https://huggingface.co/datasets/livebench/model_answer) and [model judgments](https://huggingface.co/datasets/livebench/model_judgment).
+
+For instructions on evaluating models, see our [README](https://github.com/LiveBench/LiveBench/blob/main/README.md).
+
+We plan to actively maintain the repository, and we also welcome contributions from the community. For more information, see [CONTRIBUTING.md](CONTRIBUTING.md).

SPFsmartGATE/LIVE/TMP/LiveBench/livebench/.env.example

@@ -0,0 +1,13 @@
+OPENAI_API_KEY=
+ANTHROPIC_API_KEY=
+GEMINI_API_KEY=
+DEEPSEEK_API_KEY=
+COHERE_API_KEY=
+TOGETHER_API_KEY=
+FIREWORKS_API_KEY=
+MISTRAL_API_KEY=
+PERPLEXITY_API_KEY=
+ALIBABA_API_KEY=
+XAI_API_KEY=
+STEP_API_KEY=
+DEEPINFRA_API_KEY=

SPFsmartGATE/LIVE/TMP/LiveBench/livebench/__init__.py

@@ -0,0 +1 @@
+__version__ = "0.0.2"

SPFsmartGATE/LIVE/TMP/LiveBench/livebench/agentic_code_runner/eval/harness/repos/c/OpenMathLib/OpenBLAS.py

@@ -0,0 +1,275 @@
+import re
+from typing import Optional, Union
+
+from livebench.agentic_code_runner.eval.harness.image import Config, File, Image
+from livebench.agentic_code_runner.eval.harness.instance import Instance, TestResult
+from livebench.agentic_code_runner.eval.harness.pull_request import PullRequest
+
+
+class OpenBLASImageBase(Image):
+    def __init__(self, pr: PullRequest, config: Config):
+        self._pr = pr
+        self._config = config
+
+    @property
+    def pr(self) -> PullRequest:
+        return self._pr
+
+    @property
+    def config(self) -> Config:
+        return self._config
+
+    def dependency(self) -> Union[str, "Image"]:
+        return "gcc:11"
+
+    def image_tag(self) -> str:
+        return "base"
+
+    def workdir(self) -> str:
+        return "base"
+
+    def files(self) -> list[File]:
+        return []
+
+    def dockerfile(self) -> str:
+        image_name = self.dependency()
+        if isinstance(image_name, Image):
+            image_name = image_name.image_full_name()
+
+        if self.config.need_clone:
+            code = f"RUN git clone https://github.com/{self.pr.org}/{self.pr.repo}.git /home/{self.pr.repo}"
+        else:
+            code = f"COPY {self.pr.repo} /home/{self.pr.repo}"
+
+        return f"""FROM {image_name}
+
+{self.global_env}
+
+WORKDIR /home/
+ENV DEBIAN_FRONTEND=noninteractive
+ENV TZ=Etc/UTC
+RUN apt update && apt install -y cmake
+
+{code}
+
+{self.clear_env}
+
+"""
+
+
+class OpenBLASImageDefault(Image):
+    def __init__(self, pr: PullRequest, config: Config):
+        self._pr = pr
+        self._config = config
+
+    @property
+    def pr(self) -> PullRequest:
+        return self._pr
+
+    @property
+    def config(self) -> Config:
+        return self._config
+
+    def dependency(self) -> Image | None:
+        return OpenBLASImageBase(self.pr, self._config)
+
+    def image_tag(self) -> str:
+        return f"pr-{self.pr.number}"
+
+    def workdir(self) -> str:
+        return f"pr-{self.pr.number}"
+
+    def files(self) -> list[File]:
+        return [
+            File(
+                ".",
+                "fix.patch",
+                f"{self.pr.fix_patch}",
+            ),
+            File(
+                ".",
+                "test.patch",
+                f"{self.pr.test_patch}",
+            ),
+            File(
+                ".",
+                "check_git_changes.sh",
+                """#!/bin/bash
+set -e
+
+if ! git rev-parse --is-inside-work-tree > /dev/null 2>&1; then
+  echo "check_git_changes: Not inside a git repository"
+  exit 1
+fi
+
+if [[ -n $(git status --porcelain) ]]; then
+  echo "check_git_changes: Uncommitted changes"
+  exit 1
+fi
+
+echo "check_git_changes: No uncommitted changes"
+exit 0
+
+""".format(
+                    pr=self.pr
+                ),
+            ),
+            File(
+                ".",
+                "prepare.sh",
+                """#!/bin/bash
+set -e
+
+cd /home/{pr.repo}
+git reset --hard
+bash /home/check_git_changes.sh
+git checkout {pr.base.sha}
+bash /home/check_git_changes.sh
+mkdir build
+
+""".format(
+                    pr=self.pr
+                ),
+            ),
+            File(
+                ".",
+                "run.sh",
+                """#!/bin/bash
+set -e
+
+cd /home/{pr.repo}
+cd build
+cmake ..
+make -j 4
+ctest -j 4
+""".format(
+                    pr=self.pr
+                ),
+            ),
+            File(
+                ".",
+                "test-run.sh",
+                """#!/bin/bash
+set -e
+
+cd /home/{pr.repo}
+git apply --whitespace=nowarn /home/test.patch
+cd build
+cmake ..
+make -j 4
+ctest -j 4
+
+""".format(
+                    pr=self.pr
+                ),
+            ),
+            File(
+                ".",
+                "fix-run.sh",
+                """#!/bin/bash
+set -e
+
+cd /home/{pr.repo}
+git apply --whitespace=nowarn /home/test.patch /home/fix.patch
+cd build
+cmake ..
+make -j 4
+ctest -j 4
+
+""".format(
+                    pr=self.pr
+                ),
+            ),
+        ]
+
+    def dockerfile(self) -> str:
+        image = self.dependency()
+        name = image.image_name()
+        tag = image.image_tag()
+
+        copy_commands = ""
+        for file in self.files():
+            copy_commands += f"COPY {file.name} /home/\n"
+
+        prepare_commands = "RUN bash /home/prepare.sh"
+
+        return f"""FROM {name}:{tag}
+
+{self.global_env}
+
+{copy_commands}
+
+{prepare_commands}
+
+{self.clear_env}
+
+"""
+
+
+@Instance.register("OpenMathLib", "OpenBLAS")
+class OpenBLAS(Instance):
+    def __init__(self, pr: PullRequest, config: Config, *args, **kwargs):
+        super().__init__()
+        self._pr = pr
+        self._config = config
+
+    @property
+    def pr(self) -> PullRequest:
+        return self._pr
+
+    def dependency(self) -> Optional[Image]:
+        return OpenBLASImageDefault(self.pr, self._config)
+
+    def run(self, run_cmd: str = "") -> str:
+        if run_cmd:
+            return run_cmd
+
+        return "bash /home/run.sh"
+
+    def test_patch_run(self, test_patch_run_cmd: str = "") -> str:
+        if test_patch_run_cmd:
+            return test_patch_run_cmd
+
+        return "bash /home/test-run.sh"
+
+    def fix_patch_run(self, fix_patch_run_cmd: str = "") -> str:
+        if fix_patch_run_cmd:
+            return fix_patch_run_cmd
+
+        return "bash /home/fix-run.sh"
+
+    def parse_log(self, test_log: str) -> TestResult:
+        passed_tests = set()
+        failed_tests = set()
+        skipped_tests = set()
+
+        re_pass_tests = [re.compile(r"^\d+/\d+\s*Test\s*#\d+:\s*(.*?)\s*\.+\s*Passed")]
+        re_fail_tests = [
+            re.compile(r"^\d+/\d+\s*Test\s*#\d+:\s*(.*?)\s*\.+\s*\*+Failed")
+        ]
+
+        for line in test_log.splitlines():
+            line = line.strip()
+            if not line:
+                continue
+
+            for re_pass_test in re_pass_tests:
+                pass_match = re_pass_test.match(line)
+                if pass_match:
+                    test = pass_match.group(1)
+                    passed_tests.add(test)
+
+            for re_fail_test in re_fail_tests:
+                fail_match = re_fail_test.match(line)
+                if fail_match:
+                    test = fail_match.group(1)
+                    failed_tests.add(test)
+
+        return TestResult(
+            passed_count=len(passed_tests),
+            failed_count=len(failed_tests),
+            skipped_count=len(skipped_tests),
+            passed_tests=passed_tests,
+            failed_tests=failed_tests,
+            skipped_tests=skipped_tests,
+        )

SPFsmartGATE/LIVE/TMP/LiveBench/livebench/agentic_code_runner/eval/harness/repos/c/OpenMathLib/__init__.py

@@ -0,0 +1 @@
+from livebench.agentic_code_runner.eval.harness.repos.c.OpenMathLib.OpenBLAS import *

SPFsmartGATE/LIVE/TMP/LiveBench/livebench/agentic_code_runner/eval/harness/repos/c/facebook/__init__.py

@@ -0,0 +1 @@
+from livebench.agentic_code_runner.eval.harness.repos.c.facebook.zstd import *

SPFsmartGATE/LIVE/TMP/LiveBench/livebench/agentic_code_runner/eval/harness/repos/c/facebook/zstd.py

@@ -0,0 +1,301 @@
+import re
+from typing import Optional, Union
+
+from livebench.agentic_code_runner.eval.harness.image import Config, File, Image
+from livebench.agentic_code_runner.eval.harness.instance import Instance, TestResult
+from livebench.agentic_code_runner.eval.harness.pull_request import PullRequest
+
+
+class ImageBase(Image):
+    def __init__(self, pr: PullRequest, config: Config):
+        self._pr = pr
+        self._config = config
+
+    @property
+    def pr(self) -> PullRequest:
+        return self._pr
+
+    @property
+    def config(self) -> Config:
+        return self._config
+
+    def dependency(self) -> Union[str, "Image"]:
+        return "ubuntu:20.04"
+
+    def image_tag(self) -> str:
+        return "base"
+
+    def workdir(self) -> str:
+        return "base"
+
+    def files(self) -> list[File]:
+        return []
+
+    def dockerfile(self) -> str:
+        image_name = self.dependency()
+        if isinstance(image_name, Image):
+            image_name = image_name.image_full_name()
+
+        if self.config.need_clone:
+            code = f"RUN git clone https://github.com/{self.pr.org}/{self.pr.repo}.git /home/{self.pr.repo}"
+        else:
+            code = f"COPY {self.pr.repo} /home/{self.pr.repo}"
+
+        return f"""FROM {image_name}
+
+{self.global_env}
+
+WORKDIR /home/
+ENV DEBIAN_FRONTEND=noninteractive
+ENV LANG=C.UTF-8
+ENV LC_ALL=C.UTF-8
+RUN apt-get update && apt-get install -y \
+    build-essential \
+    cmake \
+    git \
+    python3 \
+    python3-pip \
+    valgrind \
+    && rm -rf /var/lib/apt/lists/*
+    
+{code}
+
+{self.clear_env}
+
+"""
+
+
+class ImageDefault(Image):
+    def __init__(self, pr: PullRequest, config: Config):
+        self._pr = pr
+        self._config = config
+
+    @property
+    def pr(self) -> PullRequest:
+        return self._pr
+
+    @property
+    def config(self) -> Config:
+        return self._config
+
+    def dependency(self) -> Image | None:
+        return ImageBase(self.pr, self._config)
+
+    def image_tag(self) -> str:
+        return f"pr-{self.pr.number}"
+
+    def workdir(self) -> str:
+        return f"pr-{self.pr.number}"
+
+    def files(self) -> list[File]:
+        return [
+            File(
+                ".",
+                "fix.patch",
+                f"{self.pr.fix_patch}",
+            ),
+            File(
+                ".",
+                "test.patch",
+                f"{self.pr.test_patch}",
+            ),
+            File(
+                ".",
+                "check_git_changes.sh",
+                """#!/bin/bash
+set -e
+
+if ! git rev-parse --is-inside-work-tree > /dev/null 2>&1; then
+  echo "check_git_changes: Not inside a git repository"
+  exit 1
+fi
+
+if [[ -n $(git status --porcelain) ]]; then
+  echo "check_git_changes: Uncommitted changes"
+  exit 1
+fi
+
+echo "check_git_changes: No uncommitted changes"
+exit 0
+
+""".format(
+                    pr=self.pr
+                ),
+            ),
+            File(
+                ".",
+                "prepare.sh",
+                """#!/bin/bash
+set -e
+
+cd /home/{pr.repo}
+git reset --hard
+bash /home/check_git_changes.sh
+git checkout {pr.base.sha}
+bash /home/check_git_changes.sh
+
+""".format(
+                    pr=self.pr
+                ),
+            ),
+            File(
+                ".",
+                "run.sh",
+                """#!/bin/bash
+set -e
+
+cd /home/{pr.repo}
+make 
+make test
+""".format(
+                    pr=self.pr
+                ),
+            ),
+            File(
+                ".",
+                "test-run.sh",
+                """#!/bin/bash
+set -e
+
+cd /home/{pr.repo}
+git apply --whitespace=nowarn /home/test.patch
+make 
+make test
+
+""".format(
+                    pr=self.pr
+                ),
+            ),
+            File(
+                ".",
+                "fix-run.sh",
+                """#!/bin/bash
+set -e
+
+cd /home/{pr.repo}
+git apply --whitespace=nowarn /home/test.patch /home/fix.patch
+make 
+make test
+
+""".format(
+                    pr=self.pr
+                ),
+            ),
+        ]
+
+    def dockerfile(self) -> str:
+        image = self.dependency()
+        name = image.image_name()
+        tag = image.image_tag()
+
+        copy_commands = ""
+        for file in self.files():
+            copy_commands += f"COPY {file.name} /home/\n"
+
+        prepare_commands = "RUN bash /home/prepare.sh"
+
+        return f"""FROM {name}:{tag}
+
+{self.global_env}
+
+{copy_commands}
+
+{prepare_commands}
+
+{self.clear_env}
+
+"""
+
+
+@Instance.register("facebook", "zstd")
+class Zstd(Instance):
+    def __init__(self, pr: PullRequest, config: Config, *args, **kwargs):
+        super().__init__()
+        self._pr = pr
+        self._config = config
+
+    @property
+    def pr(self) -> PullRequest:
+        return self._pr
+
+    def dependency(self) -> Optional[Image]:
+        return ImageDefault(self.pr, self._config)
+
+    def run(self, run_cmd: str = "") -> str:
+        if run_cmd:
+            return run_cmd
+
+        return "bash /home/run.sh"
+
+    def test_patch_run(self, test_patch_run_cmd: str = "") -> str:
+        if test_patch_run_cmd:
+            return test_patch_run_cmd
+
+        return "bash /home/test-run.sh"
+
+    def fix_patch_run(self, fix_patch_run_cmd: str = "") -> str:
+        if fix_patch_run_cmd:
+            return fix_patch_run_cmd
+
+        return "bash /home/fix-run.sh"
+
+    def parse_log(self, test_log: str) -> TestResult:
+        passed_tests = set()
+        failed_tests = set()
+        skipped_tests = set()
+
+        re_pass = re.compile(r"^PASS: (\S+)$")
+        re_fail = re.compile(r"^FAIL: (\S+)$")
+        re_skip = re.compile(r"^SKIP: (\S+)$")
+
+        for line in test_log.splitlines():
+            line = line.strip()
+            if not line:
+                continue
+
+            pass_match = re_pass.match(line)
+            if pass_match:
+                test = pass_match.group(1)
+                passed_tests.add(test)
+
+            fail_match = re_fail.match(line)
+            if fail_match:
+                test = fail_match.group(1)
+                failed_tests.add(test)
+
+            skip_match = re_skip.match(line)
+            if skip_match:
+                test = skip_match.group(1)
+                skipped_tests.add(test)
+
+        if 1831 <= self.pr.number <= 2703:
+            keyword = "make[1]: Leaving directory '/home/zstd/doc/educational_decoder'"
+            keyword_count = len(re.findall(re.escape(keyword), test_log))
+            if keyword_count == 1:
+                passed_tests = {"all tests"}
+                failed_tests = set()
+                skipped_tests = set()
+            else:
+                passed_tests = set()
+                failed_tests = {"all tests"}
+                skipped_tests = set()
+        elif 1230 <= self.pr.number <= 1748:
+            keyword = "PASS: all POOL tests"
+            keyword_count = len(re.findall(re.escape(keyword), test_log))
+            if keyword_count == 1:
+                passed_tests = {"all tests"}
+                failed_tests = set()
+                skipped_tests = set()
+            else:
+                passed_tests = set()
+                failed_tests = {"all tests"}
+                skipped_tests = set()
+
+        return TestResult(
+            passed_count=len(passed_tests),
+            failed_count=len(failed_tests),
+            skipped_count=len(skipped_tests),
+            passed_tests=passed_tests,
+            failed_tests=failed_tests,
+            skipped_tests=skipped_tests,
+        )

SPFsmartGATE/LIVE/TMP/LiveBench/livebench/agentic_code_runner/eval/harness/repos/c/fluent/__init__.py

@@ -0,0 +1 @@
+from livebench.agentic_code_runner.eval.harness.repos.c.fluent.fluentbit import *

SPFsmartGATE/LIVE/TMP/LiveBench/livebench/agentic_code_runner/eval/harness/repos/c/fluent/fluentbit.py

@@ -0,0 +1,328 @@
+import re
+from typing import Optional, Union
+
+from livebench.agentic_code_runner.eval.harness.image import Config, File, Image
+from livebench.agentic_code_runner.eval.harness.instance import Instance, TestResult
+from livebench.agentic_code_runner.eval.harness.pull_request import PullRequest
+
+
+class FluentbitImageBase(Image):
+    def __init__(self, pr: PullRequest, config: Config):
+        self._pr = pr
+        self._config = config
+
+    @property
+    def pr(self) -> PullRequest:
+        return self._pr
+
+    @property
+    def config(self) -> Config:
+        return self._config
+
+    def dependency(self) -> Union[str, "Image"]:
+        return "gcc:11"
+
+    def image_tag(self) -> str:
+        return "base"
+
+    def workdir(self) -> str:
+        return "base"
+
+    def files(self) -> list[File]:
+        return []
+
+    def dockerfile(self) -> str:
+        image_name = self.dependency()
+        if isinstance(image_name, Image):
+            image_name = image_name.image_full_name()
+
+        if self.config.need_clone:
+            code = f"RUN git clone https://github.com/{self.pr.org}/{self.pr.repo}.git /home/{self.pr.repo}"
+        else:
+            code = f"COPY {self.pr.repo} /home/{self.pr.repo}"
+
+        return f"""FROM {image_name}
+
+{self.global_env}
+
+WORKDIR /home/
+ENV DEBIAN_FRONTEND=noninteractive
+ENV TZ=Etc/UTC
+RUN apt update && apt install -y cmake flex bison libyaml-dev libssl-dev
+
+{code}
+
+{self.clear_env}
+
+"""
+
+
+class FluentbitImageBaseGCC7(Image):
+    def __init__(self, pr: PullRequest, config: Config):
+        self._pr = pr
+        self._config = config
+
+    @property
+    def pr(self) -> PullRequest:
+        return self._pr
+
+    @property
+    def config(self) -> Config:
+        return self._config
+
+    def dependency(self) -> Union[str, "Image"]:
+        return "gcc:7"
+
+    def image_tag(self) -> str:
+        return "base-gcc-7"
+
+    def workdir(self) -> str:
+        return "base-gcc-7"
+
+    def files(self) -> list[File]:
+        return []
+
+    def dockerfile(self) -> str:
+        image_name = self.dependency()
+        if isinstance(image_name, Image):
+            image_name = image_name.image_full_name()
+
+        if self.config.need_clone:
+            code = f"RUN git clone https://github.com/{self.pr.org}/{self.pr.repo}.git /home/{self.pr.repo}"
+        else:
+            code = f"COPY {self.pr.repo} /home/{self.pr.repo}"
+
+        return f"""FROM {image_name}
+
+{self.global_env}
+
+WORKDIR /home/
+ENV DEBIAN_FRONTEND=noninteractive
+ENV TZ=Etc/UTC
+RUN apt update && apt install -y cmake flex bison libyaml-dev libssl-dev
+
+{code}
+
+{self.clear_env}
+
+"""
+
+
+class FluentbitImageDefault(Image):
+    def __init__(self, pr: PullRequest, config: Config):
+        self._pr = pr
+        self._config = config
+
+    @property
+    def pr(self) -> PullRequest:
+        return self._pr
+
+    @property
+    def config(self) -> Config:
+        return self._config
+
+    def dependency(self) -> Image | None:
+        if self.pr.number <= 3663:
+            return FluentbitImageBaseGCC7(self.pr, self._config)
+        return FluentbitImageBase(self.pr, self._config)
+
+    def image_tag(self) -> str:
+        return f"pr-{self.pr.number}"
+
+    def workdir(self) -> str:
+        return f"pr-{self.pr.number}"
+
+    def files(self) -> list[File]:
+        return [
+            File(
+                ".",
+                "fix.patch",
+                f"{self.pr.fix_patch}",
+            ),
+            File(
+                ".",
+                "test.patch",
+                f"{self.pr.test_patch}",
+            ),
+            File(
+                ".",
+                "check_git_changes.sh",
+                """#!/bin/bash
+set -e
+
+if ! git rev-parse --is-inside-work-tree > /dev/null 2>&1; then
+  echo "check_git_changes: Not inside a git repository"
+  exit 1
+fi
+
+if [[ -n $(git status --porcelain) ]]; then
+  echo "check_git_changes: Uncommitted changes"
+  exit 1
+fi
+
+echo "check_git_changes: No uncommitted changes"
+exit 0
+
+""".format(
+                    pr=self.pr
+                ),
+            ),
+            File(
+                ".",
+                "prepare.sh",
+                """#!/bin/bash
+set -e
+
+cd /home/{pr.repo}
+git reset --hard
+bash /home/check_git_changes.sh
+git checkout {pr.base.sha}
+bash /home/check_git_changes.sh
+mkdir -p build
+
+""".format(
+                    pr=self.pr
+                ),
+            ),
+            File(
+                ".",
+                "run.sh",
+                """#!/bin/bash
+set -e
+
+cd /home/{pr.repo}
+cd build
+cmake -DFLB_TESTS_RUNTIME=ON -DFLB_TESTS_INTERNAL=ON ..
+make -j 4
+ctest -j 4 --timeout 320
+""".format(
+                    pr=self.pr
+                ),
+            ),
+            File(
+                ".",
+                "test-run.sh",
+                """#!/bin/bash
+set -e
+
+cd /home/{pr.repo}
+git apply --whitespace=nowarn /home/test.patch
+cd build
+cmake -DFLB_TESTS_RUNTIME=ON -DFLB_TESTS_INTERNAL=ON ..
+make -j 4
+ctest -j 4 --timeout 320
+
+""".format(
+                    pr=self.pr
+                ),
+            ),
+            File(
+                ".",
+                "fix-run.sh",
+                """#!/bin/bash
+set -e
+
+cd /home/{pr.repo}
+git apply --whitespace=nowarn /home/test.patch /home/fix.patch
+cd build
+cmake -DFLB_TESTS_RUNTIME=ON -DFLB_TESTS_INTERNAL=ON ..
+make -j 4
+ctest -j 4 --timeout 320
+
+""".format(
+                    pr=self.pr
+                ),
+            ),
+        ]
+
+    def dockerfile(self) -> str:
+        image = self.dependency()
+        name = image.image_name()
+        tag = image.image_tag()
+
+        copy_commands = ""
+        for file in self.files():
+            copy_commands += f"COPY {file.name} /home/\n"
+
+        prepare_commands = "RUN bash /home/prepare.sh"
+
+        return f"""FROM {name}:{tag}
+
+{self.global_env}
+
+{copy_commands}
+
+{prepare_commands}
+
+{self.clear_env}
+
+"""
+
+
+@Instance.register("fluent", "fluent-bit")
+class FluentBit(Instance):
+    def __init__(self, pr: PullRequest, config: Config, *args, **kwargs):
+        super().__init__()
+        self._pr = pr
+        self._config = config
+
+    @property
+    def pr(self) -> PullRequest:
+        return self._pr
+
+    def dependency(self) -> Optional[Image]:
+        return FluentbitImageDefault(self.pr, self._config)
+
+    def run(self, run_cmd: str = "") -> str:
+        if run_cmd:
+            return run_cmd
+
+        return "bash /home/run.sh"
+
+    def test_patch_run(self, test_patch_run_cmd: str = "") -> str:
+        if test_patch_run_cmd:
+            return test_patch_run_cmd
+
+        return "bash /home/test-run.sh"
+
+    def fix_patch_run(self, fix_patch_run_cmd: str = "") -> str:
+        if fix_patch_run_cmd:
+            return fix_patch_run_cmd
+
+        return "bash /home/fix-run.sh"
+
+    def parse_log(self, test_log: str) -> TestResult:
+        passed_tests = set()
+        failed_tests = set()
+        skipped_tests = set()
+
+        re_pass_tests = [re.compile(r"^\d+/\d+\s*Test\s*#\d+:\s*(.*?)\s*\.+\s*Passed")]
+        re_fail_tests = [
+            re.compile(r"^\d+/\d+\s*Test\s*#\d+:\s*(.*?)\s*\.+\s*\*+Failed")
+        ]
+
+        for line in test_log.splitlines():
+            line = line.strip()
+            if not line:
+                continue
+
+            for re_pass_test in re_pass_tests:
+                pass_match = re_pass_test.match(line)
+                if pass_match:
+                    test = pass_match.group(1)
+                    passed_tests.add(test)
+
+            for re_fail_test in re_fail_tests:
+                fail_match = re_fail_test.match(line)
+                if fail_match:
+                    test = fail_match.group(1)
+                    failed_tests.add(test)
+
+        return TestResult(
+            passed_count=len(passed_tests),
+            failed_count=len(failed_tests),
+            skipped_count=len(skipped_tests),
+            passed_tests=passed_tests,
+            failed_tests=failed_tests,
+            skipped_tests=skipped_tests,
+        )

SPFsmartGATE/LIVE/TMP/LiveBench/livebench/agentic_code_runner/eval/harness/repos/c/jqlang/__init__.py

@@ -0,0 +1 @@
+from livebench.agentic_code_runner.eval.harness.repos.c.jqlang.jq import *

SPFsmartGATE/LIVE/TMP/LiveBench/livebench/agentic_code_runner/eval/harness/repos/c/jqlang/jq.py

@@ -0,0 +1,285 @@
+import re
+from typing import Optional, Union
+
+from livebench.agentic_code_runner.eval.harness.image import Config, File, Image
+from livebench.agentic_code_runner.eval.harness.instance import Instance, TestResult
+from livebench.agentic_code_runner.eval.harness.pull_request import PullRequest
+
+
+class ImageBase(Image):
+    def __init__(self, pr: PullRequest, config: Config):
+        self._pr = pr
+        self._config = config
+
+    @property
+    def pr(self) -> PullRequest:
+        return self._pr
+
+    @property
+    def config(self) -> Config:
+        return self._config
+
+    def dependency(self) -> Union[str, "Image"]:
+        return "ubuntu:22.04"
+
+    def image_tag(self) -> str:
+        return "base"
+
+    def workdir(self) -> str:
+        return "base"
+
+    def files(self) -> list[File]:
+        return []
+
+    def dockerfile(self) -> str:
+        image_name = self.dependency()
+        if isinstance(image_name, Image):
+            image_name = image_name.image_full_name()
+
+        if self.config.need_clone:
+            code = f"RUN git clone https://github.com/{self.pr.org}/{self.pr.repo}.git /home/{self.pr.repo}"
+        else:
+            code = f"COPY {self.pr.repo} /home/{self.pr.repo}"
+
+        return f"""FROM {image_name}
+
+{self.global_env}
+
+WORKDIR /home/
+ENV DEBIAN_FRONTEND=noninteractive
+ENV LANG=C.UTF-8
+ENV LC_ALL=C.UTF-8
+RUN apt-get update && \
+    apt-get install -y automake autoconf libtool git make gcc g++ \
+    && apt-get clean
+
+RUN apt-get install -y crossbuild-essential-amd64
+
+{code}
+
+{self.clear_env}
+
+"""
+
+
+class ImageDefault(Image):
+    def __init__(self, pr: PullRequest, config: Config):
+        self._pr = pr
+        self._config = config
+
+    @property
+    def pr(self) -> PullRequest:
+        return self._pr
+
+    @property
+    def config(self) -> Config:
+        return self._config
+
+    def dependency(self) -> Image | None:
+        return ImageBase(self.pr, self._config)
+
+    def image_tag(self) -> str:
+        return f"pr-{self.pr.number}"
+
+    def workdir(self) -> str:
+        return f"pr-{self.pr.number}"
+
+    def files(self) -> list[File]:
+        return [
+            File(
+                ".",
+                "fix.patch",
+                f"{self.pr.fix_patch}",
+            ),
+            File(
+                ".",
+                "test.patch",
+                f"{self.pr.test_patch}",
+            ),
+            File(
+                ".",
+                "check_git_changes.sh",
+                """#!/bin/bash
+set -e
+
+if ! git rev-parse --is-inside-work-tree > /dev/null 2>&1; then
+  echo "check_git_changes: Not inside a git repository"
+  exit 1
+fi
+
+if [[ -n $(git status --porcelain) ]]; then
+  echo "check_git_changes: Uncommitted changes"
+  exit 1
+fi
+
+echo "check_git_changes: No uncommitted changes"
+exit 0
+
+""".format(
+                    pr=self.pr
+                ),
+            ),
+            File(
+                ".",
+                "prepare.sh",
+                """#!/bin/bash
+set -e
+
+cd /home/{pr.repo}
+git reset --hard
+bash /home/check_git_changes.sh
+git checkout {pr.base.sha}
+bash /home/check_git_changes.sh
+git submodule update --init
+
+""".format(
+                    pr=self.pr
+                ),
+            ),
+            File(
+                ".",
+                "run.sh",
+                """#!/bin/bash
+set -e
+
+cd /home/{pr.repo}
+autoreconf -i
+./configure --with-oniguruma=builtin
+make clean                     
+make -j8
+make check
+""".format(
+                    pr=self.pr
+                ),
+            ),
+            File(
+                ".",
+                "test-run.sh",
+                """#!/bin/bash
+set -e
+
+cd /home/{pr.repo}
+git apply --whitespace=nowarn /home/test.patch
+autoreconf -i
+./configure --with-oniguruma=builtin
+make clean                     
+make -j8
+make check
+
+""".format(
+                    pr=self.pr
+                ),
+            ),
+            File(
+                ".",
+                "fix-run.sh",
+                """#!/bin/bash
+set -e
+
+cd /home/{pr.repo}
+git apply --whitespace=nowarn /home/test.patch /home/fix.patch
+autoreconf -i
+./configure --with-oniguruma=builtin
+make clean                     
+make -j8
+make check
+
+""".format(
+                    pr=self.pr
+                ),
+            ),
+        ]
+
+    def dockerfile(self) -> str:
+        image = self.dependency()
+        name = image.image_name()
+        tag = image.image_tag()
+
+        copy_commands = ""
+        for file in self.files():
+            copy_commands += f"COPY {file.name} /home/\n"
+
+        prepare_commands = "RUN bash /home/prepare.sh"
+
+        return f"""FROM {name}:{tag}
+
+{self.global_env}
+
+{copy_commands}
+
+{prepare_commands}
+
+{self.clear_env}
+
+"""
+
+
+@Instance.register("jqlang", "jq")
+class Jq(Instance):
+    def __init__(self, pr: PullRequest, config: Config, *args, **kwargs):
+        super().__init__()
+        self._pr = pr
+        self._config = config
+
+    @property
+    def pr(self) -> PullRequest:
+        return self._pr
+
+    def dependency(self) -> Optional[Image]:
+        return ImageDefault(self.pr, self._config)
+
+    def run(self, run_cmd: str = "") -> str:
+        if run_cmd:
+            return run_cmd
+
+        return "bash /home/run.sh"
+
+    def test_patch_run(self, test_patch_run_cmd: str = "") -> str:
+        if test_patch_run_cmd:
+            return test_patch_run_cmd
+
+        return "bash /home/test-run.sh"
+
+    def fix_patch_run(self, fix_patch_run_cmd: str = "") -> str:
+        if fix_patch_run_cmd:
+            return fix_patch_run_cmd
+
+        return "bash /home/fix-run.sh"
+
+    def parse_log(self, test_log: str) -> TestResult:
+        passed_tests = set()
+        failed_tests = set()
+        skipped_tests = set()
+
+        re_pass = re.compile(r"^PASS: (\S+)$")
+        re_fail = re.compile(r"^FAIL: (\S+)$")
+        re_skip = re.compile(r"^SKIP: (\S+)$")
+
+        for line in test_log.splitlines():
+            line = line.strip()
+            if not line:
+                continue
+
+            pass_match = re_pass.match(line)
+            if pass_match:
+                test = pass_match.group(1)
+                passed_tests.add(test)
+
+            fail_match = re_fail.match(line)
+            if fail_match:
+                test = fail_match.group(1)
+                failed_tests.add(test)
+
+            skip_match = re_skip.match(line)
+            if skip_match:
+                test = skip_match.group(1)
+                skipped_tests.add(test)
+
+        return TestResult(
+            passed_count=len(passed_tests),
+            failed_count=len(failed_tests),
+            skipped_count=len(skipped_tests),
+            passed_tests=passed_tests,
+            failed_tests=failed_tests,
+            skipped_tests=skipped_tests,
+        )

SPFsmartGATE/LIVE/TMP/LiveBench/livebench/agentic_code_runner/eval/harness/repos/c/libgit2/__init__.py

@@ -0,0 +1 @@
+from livebench.agentic_code_runner.eval.harness.repos.c.libgit2.libgit2 import *

SPFsmartGATE/LIVE/TMP/LiveBench/livebench/agentic_code_runner/eval/harness/repos/c/libgit2/libgit2.py

@@ -0,0 +1,448 @@
+import re
+from typing import Optional, Union
+
+from livebench.agentic_code_runner.eval.harness.image import Config, File, Image
+from livebench.agentic_code_runner.eval.harness.instance import Instance, TestResult
+from livebench.agentic_code_runner.eval.harness.pull_request import PullRequest
+
+
+class Libgit2ImageBase(Image):
+    def __init__(self, pr: PullRequest, config: Config):
+        self._pr = pr
+        self._config = config
+
+    @property
+    def pr(self) -> PullRequest:
+        return self._pr
+
+    @property
+    def config(self) -> Config:
+        return self._config
+
+    def dependency(self) -> Union[str, "Image"]:
+        return "gcc:7"
+
+    def image_tag(self) -> str:
+        return "base"
+
+    def workdir(self) -> str:
+        return "base"
+
+    def files(self) -> list[File]:
+        return []
+
+    def dockerfile(self) -> str:
+        image_name = self.dependency()
+        if isinstance(image_name, Image):
+            image_name = image_name.image_full_name()
+
+        if self.config.need_clone:
+            code = f"RUN git clone https://github.com/{self.pr.org}/{self.pr.repo}.git /home/{self.pr.repo}"
+        else:
+            code = f"COPY {self.pr.repo} /home/{self.pr.repo}"
+
+        return f"""FROM {image_name}
+
+{self.global_env}
+
+WORKDIR /home/
+ENV DEBIAN_FRONTEND=noninteractive
+ENV TZ=Etc/UTC
+RUN apt update && apt install -y cmake python3 libssl-dev \
+libpcre2-dev \
+libcurl4-openssl-dev \
+libexpat1-dev \
+gettext \
+zlib1g-dev \
+libssh-dev \
+libssh2-1-dev \
+libmbedtls-dev \
+build-essential \
+autoconf \
+pkg-config \
+libc6-dev
+
+{code}
+
+{self.clear_env}
+
+"""
+
+
+class Libgit2ImageBase4(Image):
+    def __init__(self, pr: PullRequest, config: Config):
+        self._pr = pr
+        self._config = config
+
+    @property
+    def pr(self) -> PullRequest:
+        return self._pr
+
+    @property
+    def config(self) -> Config:
+        return self._config
+
+    def dependency(self) -> Union[str, "Image"]:
+        return "gcc:4"
+
+    def image_tag(self) -> str:
+        return "base-4"
+
+    def workdir(self) -> str:
+        return "base-4"
+
+    def files(self) -> list[File]:
+        return []
+
+    def dockerfile(self) -> str:
+        image_name = self.dependency()
+        if isinstance(image_name, Image):
+            image_name = image_name.image_full_name()
+
+        if self.config.need_clone:
+            code = f"RUN git clone https://github.com/{self.pr.org}/{self.pr.repo}.git /home/{self.pr.repo}"
+        else:
+            code = f"COPY {self.pr.repo} /home/{self.pr.repo}"
+
+        return f"""FROM {image_name}
+
+{self.global_env}
+
+WORKDIR /home/
+ENV DEBIAN_FRONTEND=noninteractive
+ENV LANG=C.UTF-8
+ENV LC_ALL=C.UTF-8
+RUN wget https://cmake.org/files/v3.6/cmake-3.6.0-Linux-x86_64.tar.gz && \
+    tar -zxvf cmake-3.6.0-Linux-x86_64.tar.gz && \
+    mv cmake-3.6.0-Linux-x86_64 /opt/cmake && \
+    ln -s /opt/cmake/bin/cmake /usr/local/bin/cmake && \
+    rm cmake-3.6.0-Linux-x86_64.tar.gz
+RUN echo "deb http://archive.debian.org/debian wheezy main" > /etc/apt/sources.list && echo "deb http://archive.debian.org/debian-security wheezy/updates main" >> /etc/apt/sources.list
+RUN apt update && apt install -y --allow-unauthenticated cmake python3
+{code}
+
+{self.clear_env}
+
+"""
+
+
+class Libgit2ImageDefault(Image):
+    def __init__(self, pr: PullRequest, config: Config):
+        self._pr = pr
+        self._config = config
+
+    @property
+    def pr(self) -> PullRequest:
+        return self._pr
+
+    @property
+    def config(self) -> Config:
+        return self._config
+
+    def dependency(self) -> Image | None:
+        if self.pr.number <= 4898:
+            return Libgit2ImageBase4(self.pr, self._config)
+        return Libgit2ImageBase(self.pr, self._config)
+
+    def image_tag(self) -> str:
+        return f"pr-{self.pr.number}"
+
+    def workdir(self) -> str:
+        return f"pr-{self.pr.number}"
+
+    def files(self) -> list[File]:
+        if self.pr.number <= 4898:
+            return [
+                File(
+                    ".",
+                    "fix.patch",
+                    f"{self.pr.fix_patch}",
+                ),
+                File(
+                    ".",
+                    "test.patch",
+                    f"{self.pr.test_patch}",
+                ),
+                File(
+                    ".",
+                    "check_git_changes.sh",
+                    """#!/bin/bash
+set -e
+
+if ! git rev-parse --is-inside-work-tree > /dev/null 2>&1; then
+  echo "check_git_changes: Not inside a git repository"
+  exit 1
+fi
+
+if [[ -n $(git status --porcelain) ]]; then
+  echo "check_git_changes: Uncommitted changes"
+  exit 1
+fi
+
+echo "check_git_changes: No uncommitted changes"
+exit 0
+
+    """.format(
+                        pr=self.pr
+                    ),
+                ),
+                File(
+                    ".",
+                    "prepare.sh",
+                    """#!/bin/bash
+set -e
+
+cd /home/{pr.repo}
+git reset --hard
+bash /home/check_git_changes.sh
+git checkout {pr.base.sha}
+bash /home/check_git_changes.sh
+mkdir -p build
+
+    """.format(
+                        pr=self.pr
+                    ),
+                ),
+                File(
+                    ".",
+                    "run.sh",
+                    """#!/bin/bash
+set -e
+
+cd /home/{pr.repo}
+cd build
+cmake ..
+make
+ctest -V --timeout 300
+    """.format(
+                        pr=self.pr
+                    ),
+                ),
+                File(
+                    ".",
+                    "test-run.sh",
+                    """#!/bin/bash
+set -e
+
+cd /home/{pr.repo}
+git apply --whitespace=nowarn /home/test.patch
+cd build
+cmake ..
+make
+ctest -V --timeout 300
+
+    """.format(
+                        pr=self.pr
+                    ),
+                ),
+                File(
+                    ".",
+                    "fix-run.sh",
+                    """#!/bin/bash
+set -e
+
+cd /home/{pr.repo}
+git apply --whitespace=nowarn /home/test.patch /home/fix.patch
+cd build
+cmake ..
+make
+ctest -V --timeout 300
+
+    """.format(
+                        pr=self.pr
+                    ),
+                ),
+            ]
+        return [
+            File(
+                ".",
+                "fix.patch",
+                f"{self.pr.fix_patch}",
+            ),
+            File(
+                ".",
+                "test.patch",
+                f"{self.pr.test_patch}",
+            ),
+            File(
+                ".",
+                "check_git_changes.sh",
+                """#!/bin/bash
+set -e
+
+if ! git rev-parse --is-inside-work-tree > /dev/null 2>&1; then
+  echo "check_git_changes: Not inside a git repository"
+  exit 1
+fi
+
+if [[ -n $(git status --porcelain) ]]; then
+  echo "check_git_changes: Uncommitted changes"
+  exit 1
+fi
+
+echo "check_git_changes: No uncommitted changes"
+exit 0
+
+""".format(
+                    pr=self.pr
+                ),
+            ),
+            File(
+                ".",
+                "prepare.sh",
+                """#!/bin/bash
+set -e
+
+cd /home/{pr.repo}
+git reset --hard
+bash /home/check_git_changes.sh
+git checkout {pr.base.sha}
+bash /home/check_git_changes.sh
+mkdir -p build
+
+""".format(
+                    pr=self.pr
+                ),
+            ),
+            File(
+                ".",
+                "run.sh",
+                """#!/bin/bash
+set -e
+
+cd /home/{pr.repo}
+cd build
+cmake ..
+make
+ctest -V
+""".format(
+                    pr=self.pr
+                ),
+            ),
+            File(
+                ".",
+                "test-run.sh",
+                """#!/bin/bash
+set -e
+
+cd /home/{pr.repo}
+git apply --whitespace=nowarn /home/test.patch
+cd build
+cmake ..
+make
+ctest -V
+
+""".format(
+                    pr=self.pr
+                ),
+            ),
+            File(
+                ".",
+                "fix-run.sh",
+                """#!/bin/bash
+set -e
+
+cd /home/{pr.repo}
+git apply --whitespace=nowarn /home/test.patch /home/fix.patch
+cd build
+cmake ..
+make
+ctest -V
+
+""".format(
+                    pr=self.pr
+                ),
+            ),
+        ]
+
+    def dockerfile(self) -> str:
+        image = self.dependency()
+        name = image.image_name()
+        tag = image.image_tag()
+
+        copy_commands = ""
+        for file in self.files():
+            copy_commands += f"COPY {file.name} /home/\n"
+
+        prepare_commands = "RUN bash /home/prepare.sh"
+
+        return f"""FROM {name}:{tag}
+
+{self.global_env}
+
+{copy_commands}
+
+{prepare_commands}
+
+{self.clear_env}
+
+"""
+
+
+@Instance.register("libgit2", "libgit2")
+class Libgit2(Instance):
+    def __init__(self, pr: PullRequest, config: Config, *args, **kwargs):
+        super().__init__()
+        self._pr = pr
+        self._config = config
+
+    @property
+    def pr(self) -> PullRequest:
+        return self._pr
+
+    def dependency(self) -> Optional[Image]:
+        return Libgit2ImageDefault(self.pr, self._config)
+
+    def run(self, run_cmd: str = "") -> str:
+        if run_cmd:
+            return run_cmd
+
+        return "bash /home/run.sh"
+
+    def test_patch_run(self, test_patch_run_cmd: str = "") -> str:
+        if test_patch_run_cmd:
+            return test_patch_run_cmd
+
+        return "bash /home/test-run.sh"
+
+    def fix_patch_run(self, fix_patch_run_cmd: str = "") -> str:
+        if fix_patch_run_cmd:
+            return fix_patch_run_cmd
+
+        return "bash /home/fix-run.sh"
+
+    def parse_log(self, test_log: str) -> TestResult:
+        passed_tests = set()
+        failed_tests = set()
+        skipped_tests = set()
+
+        re_pass_tests = [re.compile(r"^\d+/\d+\s*Test\s*#\d+:\s*(.*?)\s*\.+\s*Passed")]
+        re_fail_tests = [
+            re.compile(r"^\d+/\d+\s*Test\s*#\d+:\s*(.*?)\s*\.+\s*\*+Failed")
+        ]
+
+        for line in test_log.splitlines():
+            line = line.strip()
+            if not line:
+                continue
+
+            for re_pass_test in re_pass_tests:
+                pass_match = re_pass_test.match(line)
+                if pass_match:
+                    test = pass_match.group(1)
+                    passed_tests.add(test)
+
+            for re_fail_test in re_fail_tests:
+                fail_match = re_fail_test.match(line)
+                if fail_match:
+                    test = fail_match.group(1)
+                    failed_tests.add(test)
+
+        return TestResult(
+            passed_count=len(passed_tests),
+            failed_count=len(failed_tests),
+            skipped_count=len(skipped_tests),
+            passed_tests=passed_tests,
+            failed_tests=failed_tests,
+            skipped_tests=skipped_tests,
+        )

SPFsmartGATE/LIVE/TMP/LiveBench/livebench/agentic_code_runner/eval/harness/repos/c/libsdlorg/SDL.py

@@ -0,0 +1,275 @@
+import re
+from typing import Optional, Union
+
+from livebench.agentic_code_runner.eval.harness.image import Config, File, Image
+from livebench.agentic_code_runner.eval.harness.instance import Instance, TestResult
+from livebench.agentic_code_runner.eval.harness.pull_request import PullRequest
+
+
+class SDLImageBase(Image):
+    def __init__(self, pr: PullRequest, config: Config):
+        self._pr = pr
+        self._config = config
+
+    @property
+    def pr(self) -> PullRequest:
+        return self._pr
+
+    @property
+    def config(self) -> Config:
+        return self._config
+
+    def dependency(self) -> Union[str, "Image"]:
+        return "gcc:11"
+
+    def image_tag(self) -> str:
+        return "base"
+
+    def workdir(self) -> str:
+        return "base"
+
+    def files(self) -> list[File]:
+        return []
+
+    def dockerfile(self) -> str:
+        image_name = self.dependency()
+        if isinstance(image_name, Image):
+            image_name = image_name.image_full_name()
+
+        if self.config.need_clone:
+            code = f"RUN git clone https://github.com/{self.pr.org}/{self.pr.repo}.git /home/{self.pr.repo}"
+        else:
+            code = f"COPY {self.pr.repo} /home/{self.pr.repo}"
+
+        return f"""FROM {image_name}
+
+{self.global_env}
+
+WORKDIR /home/
+ENV DEBIAN_FRONTEND=noninteractive
+ENV TZ=Etc/UTC
+RUN apt update && apt install -y cmake python3
+
+{code}
+
+{self.clear_env}
+
+"""
+
+
+class SDLImageDefault(Image):
+    def __init__(self, pr: PullRequest, config: Config):
+        self._pr = pr
+        self._config = config
+
+    @property
+    def pr(self) -> PullRequest:
+        return self._pr
+
+    @property
+    def config(self) -> Config:
+        return self._config
+
+    def dependency(self) -> Image | None:
+        return SDLImageBase(self.pr, self._config)
+
+    def image_tag(self) -> str:
+        return f"pr-{self.pr.number}"
+
+    def workdir(self) -> str:
+        return f"pr-{self.pr.number}"
+
+    def files(self) -> list[File]:
+        return [
+            File(
+                ".",
+                "fix.patch",
+                f"{self.pr.fix_patch}",
+            ),
+            File(
+                ".",
+                "test.patch",
+                f"{self.pr.test_patch}",
+            ),
+            File(
+                ".",
+                "check_git_changes.sh",
+                """#!/bin/bash
+set -e
+
+if ! git rev-parse --is-inside-work-tree > /dev/null 2>&1; then
+  echo "check_git_changes: Not inside a git repository"
+  exit 1
+fi
+
+if [[ -n $(git status --porcelain) ]]; then
+  echo "check_git_changes: Uncommitted changes"
+  exit 1
+fi
+
+echo "check_git_changes: No uncommitted changes"
+exit 0
+
+""".format(
+                    pr=self.pr
+                ),
+            ),
+            File(
+                ".",
+                "prepare.sh",
+                """#!/bin/bash
+set -e
+
+cd /home/{pr.repo}
+git reset --hard
+bash /home/check_git_changes.sh
+git checkout {pr.base.sha}
+bash /home/check_git_changes.sh
+mkdir -p build
+
+""".format(
+                    pr=self.pr
+                ),
+            ),
+            File(
+                ".",
+                "run.sh",
+                """#!/bin/bash
+set -e
+
+cd /home/{pr.repo}
+cd build
+cmake -DSDL_TESTS=ON -DSDL_INSTALL_TESTS=ON -DSDL_TESTS_LINK_SHARED=ON -DSDL_SHARED=ON ..
+make -j 4
+ctest -j 4
+""".format(
+                    pr=self.pr
+                ),
+            ),
+            File(
+                ".",
+                "test-run.sh",
+                """#!/bin/bash
+set -e
+
+cd /home/{pr.repo}
+git apply --whitespace=nowarn /home/test.patch
+cd build
+cmake -DSDL_TESTS=ON -DSDL_INSTALL_TESTS=ON -DSDL_TESTS_LINK_SHARED=ON -DSDL_SHARED=ON ..
+make -j 4
+ctest -j 4
+
+""".format(
+                    pr=self.pr
+                ),
+            ),
+            File(
+                ".",
+                "fix-run.sh",
+                """#!/bin/bash
+set -e
+
+cd /home/{pr.repo}
+git apply --whitespace=nowarn /home/test.patch /home/fix.patch
+cd build
+cmake -DSDL_TESTS=ON -DSDL_INSTALL_TESTS=ON -DSDL_TESTS_LINK_SHARED=ON -DSDL_SHARED=ON ..
+make -j 4
+ctest -j 4
+
+""".format(
+                    pr=self.pr
+                ),
+            ),
+        ]
+
+    def dockerfile(self) -> str:
+        image = self.dependency()
+        name = image.image_name()
+        tag = image.image_tag()
+
+        copy_commands = ""
+        for file in self.files():
+            copy_commands += f"COPY {file.name} /home/\n"
+
+        prepare_commands = "RUN bash /home/prepare.sh"
+
+        return f"""FROM {name}:{tag}
+
+{self.global_env}
+
+{copy_commands}
+
+{prepare_commands}
+
+{self.clear_env}
+
+"""
+
+
+@Instance.register("libsdl-org", "SDL")
+class SDL(Instance):
+    def __init__(self, pr: PullRequest, config: Config, *args, **kwargs):
+        super().__init__()
+        self._pr = pr
+        self._config = config
+
+    @property
+    def pr(self) -> PullRequest:
+        return self._pr
+
+    def dependency(self) -> Optional[Image]:
+        return SDLImageDefault(self.pr, self._config)
+
+    def run(self, run_cmd: str = "") -> str:
+        if run_cmd:
+            return run_cmd
+
+        return "bash /home/run.sh"
+
+    def test_patch_run(self, test_patch_run_cmd: str = "") -> str:
+        if test_patch_run_cmd:
+            return test_patch_run_cmd
+
+        return "bash /home/test-run.sh"
+
+    def fix_patch_run(self, fix_patch_run_cmd: str = "") -> str:
+        if fix_patch_run_cmd:
+            return fix_patch_run_cmd
+
+        return "bash /home/fix-run.sh"
+
+    def parse_log(self, test_log: str) -> TestResult:
+        passed_tests = set()
+        failed_tests = set()
+        skipped_tests = set()
+
+        re_pass_tests = [re.compile(r"^\d+/\d+\s*Test\s*#\d+:\s*(.*?)\s*\.+\s*Passed")]
+        re_fail_tests = [
+            re.compile(r"^\d+/\d+\s*Test\s*#\d+:\s*(.*?)\s*\.+\s*\*+Failed")
+        ]
+
+        for line in test_log.splitlines():
+            line = line.strip()
+            if not line:
+                continue
+
+            for re_pass_test in re_pass_tests:
+                pass_match = re_pass_test.match(line)
+                if pass_match:
+                    test = pass_match.group(1)
+                    passed_tests.add(test)
+
+            for re_fail_test in re_fail_tests:
+                fail_match = re_fail_test.match(line)
+                if fail_match:
+                    test = fail_match.group(1)
+                    failed_tests.add(test)
+
+        return TestResult(
+            passed_count=len(passed_tests),
+            failed_count=len(failed_tests),
+            skipped_count=len(skipped_tests),
+            passed_tests=passed_tests,
+            failed_tests=failed_tests,
+            skipped_tests=skipped_tests,
+        )

SPFsmartGATE/LIVE/TMP/LiveBench/livebench/agentic_code_runner/eval/harness/repos/c/libsdlorg/__init__.py

@@ -0,0 +1 @@
+from livebench.agentic_code_runner.eval.harness.repos.c.libsdlorg.SDL import *

SPFsmartGATE/LIVE/TMP/LiveBench/livebench/agentic_code_runner/eval/harness/repos/c/mruby/__init__.py

@@ -0,0 +1 @@
+from livebench.agentic_code_runner.eval.harness.repos.c.mruby.mruby import *

SPFsmartGATE/LIVE/TMP/LiveBench/livebench/agentic_code_runner/eval/harness/repos/c/mruby/mruby.py

@@ -0,0 +1,440 @@
+import re
+from typing import Optional, Union
+
+from livebench.agentic_code_runner.eval.harness.image import Config, File, Image
+from livebench.agentic_code_runner.eval.harness.instance import Instance, TestResult
+from livebench.agentic_code_runner.eval.harness.pull_request import PullRequest
+
+
+class MrubyImageBase(Image):
+    def __init__(self, pr: PullRequest, config: Config):
+        self._pr = pr
+        self._config = config
+
+    @property
+    def pr(self) -> PullRequest:
+        return self._pr
+
+    @property
+    def config(self) -> Config:
+        return self._config
+
+    def dependency(self) -> Union[str, "Image"]:
+        return "gcc:11"
+
+    def image_tag(self) -> str:
+        return "base"
+
+    def workdir(self) -> str:
+        return "base"
+
+    def files(self) -> list[File]:
+        return []
+
+    def dockerfile(self) -> str:
+        image_name = self.dependency()
+        if isinstance(image_name, Image):
+            image_name = image_name.image_full_name()
+
+        if self.config.need_clone:
+            code = f"RUN git clone https://github.com/{self.pr.org}/{self.pr.repo}.git /home/{self.pr.repo}"
+        else:
+            code = f"COPY {self.pr.repo} /home/{self.pr.repo}"
+
+        return f"""FROM {image_name}
+
+{self.global_env}
+
+WORKDIR /home/
+ENV DEBIAN_FRONTEND=noninteractive
+ENV TZ=Etc/UTC
+RUN apt update && apt install -y cmake ruby-full rake
+
+{code}
+
+{self.clear_env}
+
+"""
+
+
+class MrubyImageBaseCPP11(Image):
+    def __init__(self, pr: PullRequest, config: Config):
+        self._pr = pr
+        self._config = config
+
+    @property
+    def pr(self) -> PullRequest:
+        return self._pr
+
+    @property
+    def config(self) -> Config:
+        return self._config
+
+    def dependency(self) -> Union[str, "Image"]:
+        return "gcc:11"
+
+    def image_tag(self) -> str:
+        return "base-cpp-11"
+
+    def workdir(self) -> str:
+        return "base-cpp-11"
+
+    def files(self) -> list[File]:
+        return []
+
+    def dockerfile(self) -> str:
+        image_name = self.dependency()
+        if isinstance(image_name, Image):
+            image_name = image_name.image_full_name()
+
+        if self.config.need_clone:
+            code = f"RUN git clone https://github.com/{self.pr.org}/{self.pr.repo}.git /home/{self.pr.repo}"
+        else:
+            code = f"COPY {self.pr.repo} /home/{self.pr.repo}"
+
+        return f"""FROM {image_name}
+
+{self.global_env}
+
+WORKDIR /home/
+ENV DEBIAN_FRONTEND=noninteractive
+ENV TZ=Etc/UTC
+RUN apt update && apt install -y cmake ruby-full rake bison
+
+{code}
+
+{self.clear_env}
+
+"""
+
+
+class MrubyImageDefault(Image):
+    def __init__(self, pr: PullRequest, config: Config):
+        self._pr = pr
+        self._config = config
+
+    @property
+    def pr(self) -> PullRequest:
+        return self._pr
+
+    @property
+    def config(self) -> Config:
+        return self._config
+
+    def dependency(self) -> Image | None:
+        if self.pr.number <= 4968:
+            return MrubyImageBaseCPP11(self.pr, self._config)
+        return MrubyImageBase(self.pr, self._config)
+
+    def image_tag(self) -> str:
+        return f"pr-{self.pr.number}"
+
+    def workdir(self) -> str:
+        return f"pr-{self.pr.number}"
+
+    def files(self) -> list[File]:
+        if self.pr.number <= 4968:
+            return [
+                File(
+                    ".",
+                    "fix.patch",
+                    f"{self.pr.fix_patch}",
+                ),
+                File(
+                    ".",
+                    "test.patch",
+                    f"{self.pr.test_patch}",
+                ),
+                File(
+                    ".",
+                    "check_git_changes.sh",
+                    """#!/bin/bash
+set -e
+
+if ! git rev-parse --is-inside-work-tree > /dev/null 2>&1; then
+  echo "check_git_changes: Not inside a git repository"
+  exit 1
+fi
+
+if [[ -n $(git status --porcelain) ]]; then
+  echo "check_git_changes: Uncommitted changes"
+  exit 1
+fi
+
+echo "check_git_changes: No uncommitted changes"
+exit 0
+
+    """.format(
+                        pr=self.pr
+                    ),
+                ),
+                File(
+                    ".",
+                    "prepare.sh",
+                    """#!/bin/bash
+set -e
+
+cd /home/{pr.repo}
+git reset --hard
+bash /home/check_git_changes.sh
+git checkout {pr.base.sha}
+bash /home/check_git_changes.sh
+
+    """.format(
+                        pr=self.pr
+                    ),
+                ),
+                File(
+                    ".",
+                    "run.sh",
+                    """#!/bin/bash
+set -e
+
+cd /home/{pr.repo}
+rake
+rake all test --trace
+    """.format(
+                        pr=self.pr
+                    ),
+                ),
+                File(
+                    ".",
+                    "test-run.sh",
+                    """#!/bin/bash
+set -e
+
+cd /home/{pr.repo}
+git apply --whitespace=nowarn /home/test.patch
+rake
+rake all test --trace
+
+    """.format(
+                        pr=self.pr
+                    ),
+                ),
+                File(
+                    ".",
+                    "fix-run.sh",
+                    """#!/bin/bash
+set -e
+
+cd /home/{pr.repo}
+git apply --whitespace=nowarn /home/test.patch /home/fix.patch
+rake
+rake all test --trace
+
+    """.format(
+                        pr=self.pr
+                    ),
+                ),
+            ]
+        return [
+            File(
+                ".",
+                "fix.patch",
+                f"{self.pr.fix_patch}",
+            ),
+            File(
+                ".",
+                "test.patch",
+                f"{self.pr.test_patch}",
+            ),
+            File(
+                ".",
+                "check_git_changes.sh",
+                """#!/bin/bash
+set -e
+
+if ! git rev-parse --is-inside-work-tree > /dev/null 2>&1; then
+  echo "check_git_changes: Not inside a git repository"
+  exit 1
+fi
+
+if [[ -n $(git status --porcelain) ]]; then
+  echo "check_git_changes: Uncommitted changes"
+  exit 1
+fi
+
+echo "check_git_changes: No uncommitted changes"
+exit 0
+
+""".format(
+                    pr=self.pr
+                ),
+            ),
+            File(
+                ".",
+                "prepare.sh",
+                """#!/bin/bash
+set -e
+
+cd /home/{pr.repo}
+git reset --hard
+bash /home/check_git_changes.sh
+git checkout {pr.base.sha}
+bash /home/check_git_changes.sh
+
+
+""".format(
+                    pr=self.pr
+                ),
+            ),
+            File(
+                ".",
+                "run.sh",
+                """#!/bin/bash
+set -e
+
+cd /home/{pr.repo}
+rake all test --trace
+""".format(
+                    pr=self.pr
+                ),
+            ),
+            File(
+                ".",
+                "test-run.sh",
+                """#!/bin/bash
+set -e
+
+cd /home/{pr.repo}
+git apply --whitespace=nowarn /home/test.patch
+rake all test --trace
+
+""".format(
+                    pr=self.pr
+                ),
+            ),
+            File(
+                ".",
+                "fix-run.sh",
+                """#!/bin/bash
+set -e
+
+cd /home/{pr.repo}
+git apply --whitespace=nowarn /home/test.patch /home/fix.patch
+rake all test --trace
+
+""".format(
+                    pr=self.pr
+                ),
+            ),
+        ]
+
+    def dockerfile(self) -> str:
+        image = self.dependency()
+        name = image.image_name()
+        tag = image.image_tag()
+
+        copy_commands = ""
+        for file in self.files():
+            copy_commands += f"COPY {file.name} /home/\n"
+
+        prepare_commands = "RUN bash /home/prepare.sh"
+
+        return f"""FROM {name}:{tag}
+
+{self.global_env}
+
+{copy_commands}
+
+{prepare_commands}
+
+{self.clear_env}
+
+"""
+
+
+@Instance.register("mruby", "mruby")
+class Mruby(Instance):
+    def __init__(self, pr: PullRequest, config: Config, *args, **kwargs):
+        super().__init__()
+        self._pr = pr
+        self._config = config
+
+    @property
+    def pr(self) -> PullRequest:
+        return self._pr
+
+    def dependency(self) -> Optional[Image]:
+        return MrubyImageDefault(self.pr, self._config)
+
+    def run(self, run_cmd: str = "") -> str:
+        if run_cmd:
+            return run_cmd
+
+        return "bash /home/run.sh"
+
+    def test_patch_run(self, test_patch_run_cmd: str = "") -> str:
+        if test_patch_run_cmd:
+            return test_patch_run_cmd
+
+        return "bash /home/test-run.sh"
+
+    def fix_patch_run(self, fix_patch_run_cmd: str = "") -> str:
+        if fix_patch_run_cmd:
+            return fix_patch_run_cmd
+
+        return "bash /home/fix-run.sh"
+
+    def parse_log(self, test_log: str) -> TestResult:
+        passed_tests = set()
+        failed_tests = set()
+        skipped_tests = set()
+        if 4933 <= self.pr.number:
+            re_pass_tests = [re.compile(r"^(.*?)\s*:\s*\.$")]
+            re_fail_tests = [re.compile(r"^(.*?)\s*:\s*F$")]
+            ok_count = len(re.findall(r"\sOK:\s", test_log))
+            if ok_count == 2:
+                passed_tests.add("build")
+            else:
+                failed_tests.add("build")
+            for line in test_log.splitlines():
+                line = line.strip()
+                if not line:
+                    continue
+
+                for re_pass_test in re_pass_tests:
+                    pass_match = re_pass_test.match(line)
+                    if pass_match:
+                        test = pass_match.group(1)
+                        passed_tests.add(test)
+
+                for re_fail_test in re_fail_tests:
+                    fail_match = re_fail_test.match(line)
+                    if fail_match:
+                        test = fail_match.group(1)
+                        failed_tests.add(test)
+        elif 2784 <= self.pr.number < 4933:
+            ko_numbers = re.findall(r"\sKO:\s*(\d+)", test_log)
+            ignore_count = len(re.findall(r"Fail: regression for #1564", test_log))
+            ko_numbers = list(map(int, ko_numbers))
+            if ignore_count == 1:
+                ko_numbers[1] -= 1
+            if len(ko_numbers) == 2:
+                passed_tests.add("build")
+            else:
+                failed_tests.add("build")
+            if len(ko_numbers) == 2 and ko_numbers[0] == 0 and ko_numbers[1] == 0:
+                passed_tests.add("all tests")
+            else:
+                failed_tests.add("all tests")
+        elif self.pr.number < 2784:
+            total_match = re.search(r"Total:\s*(\d+)", test_log)
+            total = int(total_match.group(1)) if total_match else None
+            ok_match = re.search(r"\sOK:\s*(\d+)", test_log)
+            ok = int(ok_match.group(1)) if ok_match else None
+
+            if total and ok and total == ok:
+                passed_tests.add("all tests")
+            else:
+                failed_tests.add("all tests")
+
+        return TestResult(
+            passed_count=len(passed_tests),
+            failed_count=len(failed_tests),
+            skipped_count=len(skipped_tests),
+            passed_tests=passed_tests,
+            failed_tests=failed_tests,
+            skipped_tests=skipped_tests,
+        )

SPFsmartGATE/LIVE/TMP/LiveBench/livebench/agentic_code_runner/eval/harness/repos/c/php/__init__.py

@@ -0,0 +1 @@
+from livebench.agentic_code_runner.eval.harness.repos.c.php.phpsrc import *

SPFsmartGATE/LIVE/TMP/LiveBench/livebench/agentic_code_runner/eval/harness/repos/c/php/phpsrc.py

@@ -0,0 +1,273 @@
+import re
+from typing import Optional, Union
+
+from livebench.agentic_code_runner.eval.harness.image import Config, File, Image
+from livebench.agentic_code_runner.eval.harness.instance import Instance, TestResult
+from livebench.agentic_code_runner.eval.harness.pull_request import PullRequest
+
+
+class PhpImageBase(Image):
+    def __init__(self, pr: PullRequest, config: Config):
+        self._pr = pr
+        self._config = config
+
+    @property
+    def pr(self) -> PullRequest:
+        return self._pr
+
+    @property
+    def config(self) -> Config:
+        return self._config
+
+    def dependency(self) -> Union[str, "Image"]:
+        return "gcc:11"
+
+    def image_tag(self) -> str:
+        return "base"
+
+    def workdir(self) -> str:
+        return "base"
+
+    def files(self) -> list[File]:
+        return []
+
+    def dockerfile(self) -> str:
+        image_name = self.dependency()
+        if isinstance(image_name, Image):
+            image_name = image_name.image_full_name()
+
+        if self.config.need_clone:
+            code = f"RUN git clone https://github.com/{self.pr.org}/{self.pr.repo}.git /home/{self.pr.repo}"
+        else:
+            code = f"COPY {self.pr.repo} /home/{self.pr.repo}"
+
+        return f"""FROM {image_name}
+
+{self.global_env}
+
+WORKDIR /home/
+ENV DEBIAN_FRONTEND=noninteractive
+ENV TZ=Etc/UTC
+RUN apt update && apt install -y pkg-config build-essential autoconf bison re2c \
+libxml2-dev libsqlite3-dev cmake
+
+{code}
+
+{self.clear_env}
+
+"""
+
+
+class PhpImageDefault(Image):
+    def __init__(self, pr: PullRequest, config: Config):
+        self._pr = pr
+        self._config = config
+
+    @property
+    def pr(self) -> PullRequest:
+        return self._pr
+
+    @property
+    def config(self) -> Config:
+        return self._config
+
+    def dependency(self) -> Image | None:
+        return PhpImageBase(self.pr, self._config)
+
+    def image_tag(self) -> str:
+        return f"pr-{self.pr.number}"
+
+    def workdir(self) -> str:
+        return f"pr-{self.pr.number}"
+
+    def files(self) -> list[File]:
+        return [
+            File(
+                ".",
+                "fix.patch",
+                f"{self.pr.fix_patch}",
+            ),
+            File(
+                ".",
+                "test.patch",
+                f"{self.pr.test_patch}",
+            ),
+            File(
+                ".",
+                "check_git_changes.sh",
+                """#!/bin/bash
+set -e
+
+if ! git rev-parse --is-inside-work-tree > /dev/null 2>&1; then
+  echo "check_git_changes: Not inside a git repository"
+  exit 1
+fi
+
+if [[ -n $(git status --porcelain) ]]; then
+  echo "check_git_changes: Uncommitted changes"
+  exit 1
+fi
+
+echo "check_git_changes: No uncommitted changes"
+exit 0
+
+""".format(
+                    pr=self.pr
+                ),
+            ),
+            File(
+                ".",
+                "prepare.sh",
+                """#!/bin/bash
+set -e
+
+cd /home/{pr.repo}
+git reset --hard
+bash /home/check_git_changes.sh
+git checkout {pr.base.sha}
+bash /home/check_git_changes.sh
+
+""".format(
+                    pr=self.pr
+                ),
+            ),
+            File(
+                ".",
+                "run.sh",
+                """#!/bin/bash
+set -e
+
+cd /home/{pr.repo}
+./buildconf
+./configure --enable-debug
+make -j4
+make TEST_PHP_ARGS=-j4 NO_INTERACTION=1 test
+""".format(
+                    pr=self.pr
+                ),
+            ),
+            File(
+                ".",
+                "test-run.sh",
+                """#!/bin/bash
+set -e
+
+cd /home/{pr.repo}
+git apply --whitespace=nowarn /home/test.patch
+./buildconf
+./configure --enable-debug
+make -j4
+make TEST_PHP_ARGS=-j4 NO_INTERACTION=1 test
+
+""".format(
+                    pr=self.pr
+                ),
+            ),
+            File(
+                ".",
+                "fix-run.sh",
+                """#!/bin/bash
+set -e
+
+cd /home/{pr.repo}
+git apply --whitespace=nowarn /home/test.patch /home/fix.patch
+./buildconf
+./configure --enable-debug
+make -j4
+make TEST_PHP_ARGS=-j4 NO_INTERACTION=1 test
+
+""".format(
+                    pr=self.pr
+                ),
+            ),
+        ]
+
+    def dockerfile(self) -> str:
+        image = self.dependency()
+        name = image.image_name()
+        tag = image.image_tag()
+
+        copy_commands = ""
+        for file in self.files():
+            copy_commands += f"COPY {file.name} /home/\n"
+
+        prepare_commands = "RUN bash /home/prepare.sh"
+
+        return f"""FROM {name}:{tag}
+
+{self.global_env}
+
+{copy_commands}
+
+{prepare_commands}
+
+{self.clear_env}
+
+"""
+
+
+@Instance.register("php", "php-src")
+class Php(Instance):
+    def __init__(self, pr: PullRequest, config: Config, *args, **kwargs):
+        super().__init__()
+        self._pr = pr
+        self._config = config
+
+    @property
+    def pr(self) -> PullRequest:
+        return self._pr
+
+    def dependency(self) -> Optional[Image]:
+        return PhpImageDefault(self.pr, self._config)
+
+    def run(self, run_cmd: str = "") -> str:
+        if run_cmd:
+            return run_cmd
+
+        return "bash /home/run.sh"
+
+    def test_patch_run(self, test_patch_run_cmd: str = "") -> str:
+        if test_patch_run_cmd:
+            return test_patch_run_cmd
+
+        return "bash /home/test-run.sh"
+
+    def fix_patch_run(self, fix_patch_run_cmd: str = "") -> str:
+        if fix_patch_run_cmd:
+            return fix_patch_run_cmd
+
+        return "bash /home/fix-run.sh"
+
+    def parse_log(self, test_log: str) -> TestResult:
+        passed_tests = set()
+        failed_tests = set()
+        skipped_tests = set()
+
+        re_pass_tests = [re.compile(r".*?PASS.*?\s+(.*)")]
+        re_fail_tests = [re.compile(r".*?FAIL.*?\s+(.*)")]
+
+        for line in test_log.splitlines():
+            line = line.strip()
+            if not line:
+                continue
+
+            for re_pass_test in re_pass_tests:
+                pass_match = re_pass_test.match(line)
+                if pass_match:
+                    test = pass_match.group(1)
+                    passed_tests.add(test)
+
+            for re_fail_test in re_fail_tests:
+                fail_match = re_fail_test.match(line)
+                if fail_match:
+                    test = fail_match.group(1)
+                    failed_tests.add(test)
+
+        return TestResult(
+            passed_count=len(passed_tests),
+            failed_count=len(failed_tests),
+            skipped_count=len(skipped_tests),
+            passed_tests=passed_tests,
+            failed_tests=failed_tests,
+            skipped_tests=skipped_tests,
+        )

SPFsmartGATE/LIVE/TMP/LiveBench/livebench/agentic_code_runner/eval/harness/repos/c/ponylang/__init__.py

@@ -0,0 +1 @@
+from livebench.agentic_code_runner.eval.harness.repos.c.ponylang.ponyc import *

SPFsmartGATE/LIVE/TMP/LiveBench/livebench/agentic_code_runner/eval/harness/repos/c/ponylang/ponyc.py

@@ -0,0 +1,644 @@
+import re
+from typing import Optional, Union
+
+from livebench.agentic_code_runner.eval.harness.image import Config, File, Image
+from livebench.agentic_code_runner.eval.harness.instance import Instance, TestResult
+from livebench.agentic_code_runner.eval.harness.pull_request import PullRequest
+
+
+class PonycImageBase(Image):
+    def __init__(self, pr: PullRequest, config: Config):
+        self._pr = pr
+        self._config = config
+
+    @property
+    def pr(self) -> PullRequest:
+        return self._pr
+
+    @property
+    def config(self) -> Config:
+        return self._config
+
+    def dependency(self) -> Union[str, "Image"]:
+        return "ubuntu:22.04"
+
+    def image_tag(self) -> str:
+        return "base"
+
+    def workdir(self) -> str:
+        return "base"
+
+    def files(self) -> list[File]:
+        return []
+
+    def dockerfile(self) -> str:
+        image_name = self.dependency()
+        if isinstance(image_name, Image):
+            image_name = image_name.image_full_name()
+
+        if self.config.need_clone:
+            code = f"RUN git clone https://github.com/{self.pr.org}/{self.pr.repo}.git /home/{self.pr.repo}"
+        else:
+            code = f"COPY {self.pr.repo} /home/{self.pr.repo}"
+
+        return f"""FROM {image_name}
+
+{self.global_env}
+
+WORKDIR /home/
+ENV DEBIAN_FRONTEND=noninteractive
+ENV LANG=C.UTF-8
+ENV LC_ALL=C.UTF-8
+RUN apt update && apt install -y git clang build-essential cmake pkg-config make gcc pkg-config libjemalloc-dev automake libtool libssl-dev libpsl-dev
+
+{code}
+
+
+
+{self.clear_env}
+
+"""
+
+
+class PonycImageBase18(Image):
+    def __init__(self, pr: PullRequest, config: Config):
+        self._pr = pr
+        self._config = config
+
+    @property
+    def pr(self) -> PullRequest:
+        return self._pr
+
+    @property
+    def config(self) -> Config:
+        return self._config
+
+    def dependency(self) -> Union[str, "Image"]:
+        return "ubuntu:18.04"
+
+    def image_tag(self) -> str:
+        return "base-18"
+
+    def workdir(self) -> str:
+        return "base-18"
+
+    def files(self) -> list[File]:
+        return []
+
+    def dockerfile(self) -> str:
+        image_name = self.dependency()
+        if isinstance(image_name, Image):
+            image_name = image_name.image_full_name()
+
+        if self.config.need_clone:
+            code = f"RUN git clone https://github.com/{self.pr.org}/{self.pr.repo}.git /home/{self.pr.repo}"
+        else:
+            code = f"COPY {self.pr.repo} /home/{self.pr.repo}"
+
+        return f"""FROM {image_name}
+
+{self.global_env}
+
+WORKDIR /home/
+ENV DEBIAN_FRONTEND=noninteractive
+ENV LANG=C.UTF-8
+ENV LC_ALL=C.UTF-8
+RUN apt update && apt install -y git llvm clang build-essential wget tar python3 python3-dev python3-pip
+RUN wget https://cmake.org/files/v3.16/cmake-3.16.3-Linux-x86_64.tar.gz && \
+    tar -zxvf cmake-3.16.3-Linux-x86_64.tar.gz && \
+    mv cmake-3.16.3-Linux-x86_64 /opt/cmake && \
+    ln -s /opt/cmake/bin/cmake /usr/local/bin/cmake && \
+    rm cmake-3.16.3-Linux-x86_64.tar.gz
+    
+{code}
+
+{self.clear_env}
+
+"""
+
+
+class PonycImageBase16(Image):
+    def __init__(self, pr: PullRequest, config: Config):
+        self._pr = pr
+        self._config = config
+
+    @property
+    def pr(self) -> PullRequest:
+        return self._pr
+
+    @property
+    def config(self) -> Config:
+        return self._config
+
+    def dependency(self) -> Union[str, "Image"]:
+        return "ubuntu:16.04"
+
+    def image_tag(self) -> str:
+        return "base-16"
+
+    def workdir(self) -> str:
+        return "base-16"
+
+    def files(self) -> list[File]:
+        return []
+
+    def dockerfile(self) -> str:
+        image_name = self.dependency()
+        if isinstance(image_name, Image):
+            image_name = image_name.image_full_name()
+
+        if self.config.need_clone:
+            code = f"RUN git clone https://github.com/{self.pr.org}/{self.pr.repo}.git /home/{self.pr.repo}"
+        else:
+            code = f"COPY {self.pr.repo} /home/{self.pr.repo}"
+
+        return f"""FROM {image_name}
+
+{self.global_env}
+
+WORKDIR /home/
+ENV DEBIAN_FRONTEND=noninteractive
+ENV LANG=C.UTF-8
+ENV LC_ALL=C.UTF-8
+RUN apt update && apt install -y git clang build-essential cmake
+
+{code}
+
+{self.clear_env}
+
+"""
+
+
+class PonycImageBase16V2(Image):
+    def __init__(self, pr: PullRequest, config: Config):
+        self._pr = pr
+        self._config = config
+
+    @property
+    def pr(self) -> PullRequest:
+        return self._pr
+
+    @property
+    def config(self) -> Config:
+        return self._config
+
+    def dependency(self) -> Union[str, "Image"]:
+        return "ubuntu:16.04"
+
+    def image_tag(self) -> str:
+        return "base-16V2"
+
+    def workdir(self) -> str:
+        return "base-16V2"
+
+    def files(self) -> list[File]:
+        return []
+
+    def dockerfile(self) -> str:
+        image_name = self.dependency()
+        if isinstance(image_name, Image):
+            image_name = image_name.image_full_name()
+
+        if self.config.need_clone:
+            code = f"RUN git clone https://github.com/{self.pr.org}/{self.pr.repo}.git /home/{self.pr.repo}"
+        else:
+            code = f"COPY {self.pr.repo} /home/{self.pr.repo}"
+
+        return f"""FROM {image_name}
+
+{self.global_env}
+
+WORKDIR /home/
+ENV DEBIAN_FRONTEND=noninteractive
+ENV LANG=C.UTF-8
+ENV LC_ALL=C.UTF-8
+RUN apt update && apt install -y git clang build-essential cmake 
+RUN apt install -y llvm-3.9 zlib1g-dev libncurses5-dev
+
+{code}
+
+{self.clear_env}
+
+"""
+
+
+class PonycImageDefault(Image):
+    def __init__(self, pr: PullRequest, config: Config):
+        self._pr = pr
+        self._config = config
+
+    @property
+    def pr(self) -> PullRequest:
+        return self._pr
+
+    @property
+    def config(self) -> Config:
+        return self._config
+
+    def dependency(self) -> Image | None:
+        if 3530 <= self.pr.number <= 4288:
+            return PonycImageBase18(self.pr, self._config)
+        elif 3043 < self.pr.number <= 3442:
+            return PonycImageBase16(self.pr, self._config)
+        elif self.pr.number <= 3043:
+            return PonycImageBase16V2(self.pr, self._config)
+        return PonycImageBase(self.pr, self._config)
+
+    def image_tag(self) -> str:
+        return f"pr-{self.pr.number}"
+
+    def workdir(self) -> str:
+        return f"pr-{self.pr.number}"
+
+    def files(self) -> list[File]:
+        if 3043 < self.pr.number <= 3442:
+            return [
+                File(
+                    ".",
+                    "fix.patch",
+                    f"{self.pr.fix_patch}",
+                ),
+                File(
+                    ".",
+                    "test.patch",
+                    f"{self.pr.test_patch}",
+                ),
+                File(
+                    ".",
+                    "check_git_changes.sh",
+                    """#!/bin/bash
+set -e
+
+if ! git rev-parse --is-inside-work-tree > /dev/null 2>&1; then
+    echo "check_git_changes: Not inside a git repository"
+    exit 1
+fi
+
+if [[ -n $(git status --porcelain) ]]; then
+    echo "check_git_changes: Uncommitted changes"
+    exit 1
+fi
+
+echo "check_git_changes: No uncommitted changes"
+exit 0
+
+    """.format(
+                        pr=self.pr
+                    ),
+                ),
+                File(
+                    ".",
+                    "prepare.sh",
+                    """#!/bin/bash
+set -e
+
+cd /home/{pr.repo}
+git reset --hard
+bash /home/check_git_changes.sh
+git checkout {pr.base.sha}
+bash /home/check_git_changes.sh
+
+
+    """.format(
+                        pr=self.pr
+                    ),
+                ),
+                File(
+                    ".",
+                    "run.sh",
+                    """#!/bin/bash
+set -e
+
+cd /home/{pr.repo}
+make -f Makefile-lib-llvm
+make -f Makefile-lib-llvm test
+    """.format(
+                        pr=self.pr
+                    ),
+                ),
+                File(
+                    ".",
+                    "test-run.sh",
+                    """#!/bin/bash
+set -e
+
+cd /home/{pr.repo}
+git apply --whitespace=nowarn /home/test.patch
+make -f Makefile-lib-llvm
+make -f Makefile-lib-llvm test
+
+    """.format(
+                        pr=self.pr
+                    ),
+                ),
+                File(
+                    ".",
+                    "fix-run.sh",
+                    """#!/bin/bash
+set -e
+
+cd /home/{pr.repo}
+git apply --whitespace=nowarn /home/test.patch /home/fix.patch
+make -f Makefile-lib-llvm
+make -f Makefile-lib-llvm test
+
+    """.format(
+                        pr=self.pr
+                    ),
+                ),
+            ]
+        elif self.pr.number <= 3043:
+            return [
+                File(
+                    ".",
+                    "fix.patch",
+                    f"{self.pr.fix_patch}",
+                ),
+                File(
+                    ".",
+                    "test.patch",
+                    f"{self.pr.test_patch}",
+                ),
+                File(
+                    ".",
+                    "check_git_changes.sh",
+                    """#!/bin/bash
+set -e
+
+if ! git rev-parse --is-inside-work-tree > /dev/null 2>&1; then
+    echo "check_git_changes: Not inside a git repository"
+    exit 1
+fi
+
+if [[ -n $(git status --porcelain) ]]; then
+    echo "check_git_changes: Uncommitted changes"
+    exit 1
+fi
+
+echo "check_git_changes: No uncommitted changes"
+exit 0
+
+    """.format(
+                        pr=self.pr
+                    ),
+                ),
+                File(
+                    ".",
+                    "prepare.sh",
+                    """#!/bin/bash
+set -e
+
+cd /home/{pr.repo}
+git reset --hard
+bash /home/check_git_changes.sh
+git checkout {pr.base.sha}
+bash /home/check_git_changes.sh
+
+
+    """.format(
+                        pr=self.pr
+                    ),
+                ),
+                File(
+                    ".",
+                    "run.sh",
+                    """#!/bin/bash
+set -e
+
+cd /home/{pr.repo}
+make
+make test
+    """.format(
+                        pr=self.pr
+                    ),
+                ),
+                File(
+                    ".",
+                    "test-run.sh",
+                    """#!/bin/bash
+set -e
+
+cd /home/{pr.repo}
+git apply --whitespace=nowarn /home/test.patch
+make
+make test
+
+    """.format(
+                        pr=self.pr
+                    ),
+                ),
+                File(
+                    ".",
+                    "fix-run.sh",
+                    """#!/bin/bash
+set -e
+
+cd /home/{pr.repo}
+git apply --whitespace=nowarn /home/test.patch /home/fix.patch
+make
+make test
+
+    """.format(
+                        pr=self.pr
+                    ),
+                ),
+            ]
+        return [
+            File(
+                ".",
+                "fix.patch",
+                f"{self.pr.fix_patch}",
+            ),
+            File(
+                ".",
+                "test.patch",
+                f"{self.pr.test_patch}",
+            ),
+            File(
+                ".",
+                "check_git_changes.sh",
+                """#!/bin/bash
+set -e
+
+if ! git rev-parse --is-inside-work-tree > /dev/null 2>&1; then
+  echo "check_git_changes: Not inside a git repository"
+  exit 1
+fi
+
+if [[ -n $(git status --porcelain) ]]; then
+  echo "check_git_changes: Uncommitted changes"
+  exit 1
+fi
+
+echo "check_git_changes: No uncommitted changes"
+exit 0
+
+""".format(
+                    pr=self.pr
+                ),
+            ),
+            File(
+                ".",
+                "prepare.sh",
+                """#!/bin/bash
+set -e
+
+cd /home/{pr.repo}
+git reset --hard
+bash /home/check_git_changes.sh
+git checkout {pr.base.sha}
+bash /home/check_git_changes.sh
+
+
+""".format(
+                    pr=self.pr
+                ),
+            ),
+            File(
+                ".",
+                "run.sh",
+                """#!/bin/bash
+set -e
+
+cd /home/{pr.repo}
+make libs
+make configure config=debug
+make build config=debug
+make test config=debug
+""".format(
+                    pr=self.pr
+                ),
+            ),
+            File(
+                ".",
+                "test-run.sh",
+                """#!/bin/bash
+set -e
+
+cd /home/{pr.repo}
+git apply --whitespace=nowarn /home/test.patch
+make libs
+make configure config=debug
+make build config=debug
+make test config=debug
+
+""".format(
+                    pr=self.pr
+                ),
+            ),
+            File(
+                ".",
+                "fix-run.sh",
+                """#!/bin/bash
+set -e
+
+cd /home/{pr.repo}
+git apply --whitespace=nowarn /home/test.patch /home/fix.patch
+make libs
+make configure config=debug
+make build config=debug
+make test config=debug
+
+""".format(
+                    pr=self.pr
+                ),
+            ),
+        ]
+
+    def dockerfile(self) -> str:
+        image = self.dependency()
+        name = image.image_name()
+        tag = image.image_tag()
+
+        copy_commands = ""
+        for file in self.files():
+            copy_commands += f"COPY {file.name} /home/\n"
+
+        prepare_commands = "RUN bash /home/prepare.sh"
+
+        return f"""FROM {name}:{tag}
+
+{self.global_env}
+
+{copy_commands}
+
+{prepare_commands}
+
+{self.clear_env}
+
+"""
+
+
+@Instance.register("ponylang", "ponyc")
+class Ponyc(Instance):
+    def __init__(self, pr: PullRequest, config: Config, *args, **kwargs):
+        super().__init__()
+        self._pr = pr
+        self._config = config
+
+    @property
+    def pr(self) -> PullRequest:
+        return self._pr
+
+    def dependency(self) -> Optional[Image]:
+        return PonycImageDefault(self.pr, self._config)
+
+    def run(self, run_cmd: str = "") -> str:
+        if run_cmd:
+            return run_cmd
+
+        return "bash /home/run.sh"
+
+    def test_patch_run(self, test_patch_run_cmd: str = "") -> str:
+        if test_patch_run_cmd:
+            return test_patch_run_cmd
+
+        return "bash /home/test-run.sh"
+
+    def fix_patch_run(self, fix_patch_run_cmd: str = "") -> str:
+        if fix_patch_run_cmd:
+            return fix_patch_run_cmd
+
+        return "bash /home/fix-run.sh"
+
+    def parse_log(self, test_log: str) -> TestResult:
+        passed_tests = set()
+        failed_tests = set()
+        skipped_tests = set()
+
+        re_passes = [
+            re.compile(r"^\[       OK \] (\S+?)( \(.+\))?$"),
+            re.compile(r"^\x1b\[0;32m\[       OK \] \x1b\[0m(\S+?)( \(.+\))?$"),
+            re.compile(r"^\x1b\[92m---- Passed: (\S+?)\x1b\[0m$"),
+        ]
+        re_fails = [
+            re.compile(r"^\[  FAILED  \] (\S+?)( \(.+\))?$"),
+            re.compile(r"^\x1b\[0;31m\[  FAILED  \] \x1b\[0m(\S+?)( \(.+\))?$"),
+            re.compile(r"^\x1b\[91m\*\*\*\* FAILED: (\S+?)\x1b\[0m$"),
+        ]
+
+        for line in test_log.splitlines():
+            line = line.strip()
+            if not line:
+                continue
+
+            for re_pass in re_passes:
+                pass_match = re_pass.match(line)
+                if pass_match:
+                    test = pass_match.group(1)
+                    passed_tests.add(test)
+
+            for re_fail in re_fails:
+                fail_match = re_fail.match(line)
+                if fail_match:
+                    test = fail_match.group(1)
+                    failed_tests.add(test)
+
+        return TestResult(
+            passed_count=len(passed_tests),
+            failed_count=len(failed_tests),
+            skipped_count=len(skipped_tests),
+            passed_tests=passed_tests,
+            failed_tests=failed_tests,
+            skipped_tests=skipped_tests,
+        )