{"type":"queue-operation","operation":"enqueue","timestamp":"2026-06-16T06:15:08.494Z","sessionId":"2c06a32a-c9af-4ee9-ba94-7a56c4acf23d","content":"l'avatar ne parle plus ?"}
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{"parentUuid":"6d97a189-f7ca-466f-9e4b-8d364cefce74","isSidechain":false,"attachment":{"type":"agent_listing_delta","addedTypes":["claude","Explore","general-purpose","Plan","statusline-setup"],"addedLines":["- claude: Catch-all for any task that doesn't fit a more specific agent. FleetView's default when no agent name is typed. (Tools: *)","- Explore: Read-only search agent for broad fan-out searches — when answering means sweeping many files, directories, or naming conventions and you only need the conclusion, not the file dumps. It reads excerpts rather than whole files, so it locates code; it doesn't review or audit it. Specify search breadth: \"medium\" for moderate exploration, \"very thorough\" for multiple locations and naming conventions. (Tools: All tools except Agent, ExitPlanMode, Edit, Write, NotebookEdit)","- general-purpose: General-purpose agent for researching complex questions, searching for code, and executing multi-step tasks. When you are searching for a keyword or file and are not confident that you will find the right match in the first few tries use this agent to perform the search for you. (Tools: *)","- Plan: Software architect agent for designing implementation plans. Use this when you need to plan the implementation strategy for a task. Returns step-by-step plans, identifies critical files, and considers architectural trade-offs. (Tools: All tools except Agent, ExitPlanMode, Edit, Write, NotebookEdit)","- statusline-setup: Use this agent to configure the user's Claude Code status line setting. (Tools: Read, Edit)"],"removedTypes":[],"isInitial":true,"showConcurrencyNote":true},"type":"attachment","uuid":"9b42c3d9-29e9-4b95-a3fb-3de42b6bda9e","timestamp":"2026-06-16T06:15:08.503Z","userType":"external","entrypoint":"sdk-cli","cwd":"/mnt/DATA/WORK/agent-gui","sessionId":"2c06a32a-c9af-4ee9-ba94-7a56c4acf23d","version":"2.1.178","gitBranch":"HEAD"}
{"parentUuid":"9b42c3d9-29e9-4b95-a3fb-3de42b6bda9e","isSidechain":false,"attachment":{"type":"skill_listing","content":"- deep-research: Deep research harness — fan-out web searches, fetch sources, adversarially verify claims, synthesize a cited report. - When the user wants a deep, multi-source, fact-checked research report on any topic. BEFORE invoking, check if the question is specific enough to research directly — if underspecified (e.g., \"what car to buy\" without budget/use-case/region), ask 2-3 clarifying questions to narrow scope. Then pass the refined question as args, weaving the answers in.\n- update-config: Use this skill to configure the Claude Code harness via settings.json. Automated behaviors (\"from now on when X\", \"each time X\", \"whenever X\", \"before/after X\") require hooks configured in settings.json - the harness executes these, not Claude, so memory/preferences cannot fulfill them. Also use for: permissions (\"allow X\", \"add permission\", \"move permission to\"), env vars (\"set X=Y\"), hook troubleshooting, or any changes to settings.json/settings.local.json files. Examples: \"allow npm commands\", \"add bq permission to global settings\", \"move permission to user settings\", \"set DEBUG=true\", \"when claude stops show X\". For simple settings like theme/model, suggest the /config command.\n- keybindings-help: Use when the user wants to customize keyboard shortcuts, rebind keys, add chord bindings, or modify ~/.claude/keybindings.json. Examples: \"rebind ctrl+s\", \"add a chord shortcut\", \"change the submit key\", \"customize keybindings\".\n- verify: Verify that a code change actually does what it's supposed to by running the app and observing behavior. Use when asked to verify a PR, confirm a fix works, test a change manually, check that a feature works, or validate local changes before pushing.\n- code-review: Review the current diff for correctness bugs and reuse/simplification/efficiency cleanups at the given effort level (low/medium: fewer, high-confidence findings; high→max: broader coverage, may include uncertain findings; ultra: deep multi-agent review in the cloud). Pass --comment to post findings as inline PR comments, or --fix to apply the findings to the working tree after the review.\n- simplify: Review the changed code for reuse, simplification, efficiency, and altitude cleanups, then apply the fixes. Quality only — it does not hunt for bugs; use /code-review for that.\n- fewer-permission-prompts: Scan your transcripts for common read-only Bash and MCP tool calls, then add a prioritized allowlist to project .claude/settings.json to reduce permission prompts.\n- loop: Run a prompt or slash command on a recurring interval (e.g. /loop 5m /foo). Omit the interval to let the model self-pace. - When the user wants to set up a recurring task, poll for status, or run something repeatedly on an interval (e.g. \"check the deploy every 5 minutes\", \"keep running /babysit-prs\"). Do NOT invoke for one-off tasks.\n- schedule: Create, update, list, or run scheduled cloud agents (routines) that execute on a cron schedule. - When the user wants to schedule a recurring cloud agent, set up automated tasks, create a cron job for Claude Code, or manage their scheduled agents/routines. Also use when the user wants a one-time scheduled run (\"run this once at 3pm\", \"remind me to check X tomorrow\").\n- claude-api: Reference for the Claude API / Anthropic SDK — model ids, pricing, params, streaming, tool use, MCP, agents, caching, token counting, model migration.\nTRIGGER — read BEFORE opening the target file; don't skip because it \"looks like a one-liner\" — whenever: the prompt names Claude/Anthropic in any form (Claude, Anthropic, Fable, Opus, Sonnet, Haiku, `anthropic`, `@anthropic-ai`, `claude-*`, `us.anthropic.*`, `[1m]`); the user asks about an LLM (pricing/model choice/limits/caching) — never answer from memory; OR the task is LLM-shaped with provider unstated (agent/MCP/tool-definition/multi-agent/RAG/LLM-judge/computer-use; generate/summarize/extract/classify/rewrite/converse over NL; debugging refusals/cutoffs/streaming/tool-calls/tokens).\nSKIP only when another provider is being worked on (overrides all triggers): OpenAI/GPT/Gemini/Llama/Mistral/Cohere/Ollama named in the query; OR `grep -rE 'openai|langchain_openai|google.generativeai|genai|mistralai|cohere|ollama'` over the project hits (run this grep FIRST if no provider named — don't Read the file).\n- run: Launch and drive this project's app to see a change working. Use when asked to run, start, or screenshot the app, or to confirm a change works in the real app (not just tests). First looks for a project skill that already covers launching the app; otherwise falls back to built-in patterns per project type (CLI, server, TUI, Electron, browser-driven, library).\n- init: Initialize a new CLAUDE.md file with codebase documentation\n- review: Review a pull request\n- security-review: Complete a security review of the pending changes on the current branch","skillCount":14,"isInitial":true,"names":["deep-research","update-config","keybindings-help","verify","code-review","simplify","fewer-permission-prompts","loop","schedule","claude-api","run","init","review","security-review"]},"type":"attachment","uuid":"86f0376d-3e9b-427b-9015-ba5815bbdc86","timestamp":"2026-06-16T06:15:08.503Z","userType":"external","entrypoint":"sdk-cli","cwd":"/mnt/DATA/WORK/agent-gui","sessionId":"2c06a32a-c9af-4ee9-ba94-7a56c4acf23d","version":"2.1.178","gitBranch":"HEAD"}
{"type":"ai-title","aiTitle":"Avatar ne parle plus","sessionId":"2c06a32a-c9af-4ee9-ba94-7a56c4acf23d"}
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{"parentUuid":"03af3b85-6ef3-4c65-9459-a5572cd7cf75","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_01HUq4A9UZEoEANBWanq9meH","type":"message","role":"assistant","content":[{"type":"text","text":"Je regarde le projet pour comprendre ce qui concerne l'avatar et la parole."}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2711,"cache_creation_input_tokens":1947,"cache_read_input_tokens":15626,"output_tokens":298,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1947,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2711,"output_tokens":298,"cache_read_input_tokens":15626,"cache_creation_input_tokens":1947,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1947},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011Cc6SwMe7tuN68XJhiWVHq","type":"assistant","uuid":"716646ed-c6fe-434d-adc6-2af3116b318f","timestamp":"2026-06-16T06:15:16.366Z","userType":"external","entrypoint":"sdk-cli","cwd":"/mnt/DATA/WORK/agent-gui","sessionId":"2c06a32a-c9af-4ee9-ba94-7a56c4acf23d","version":"2.1.178","gitBranch":"HEAD"}
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{"parentUuid":"c0f226d9-a8c8-4c6a-b593-e9c25201a4cf","isSidechain":false,"promptId":"a200fd55-c7c3-47c9-aa2a-4e7e6a99b60b","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01RTH4jCmgKDymPZiFFqp6j3","type":"tool_result","content":"total 24\ndrwxrwxr-x+         1 wildlama wildlama 4096 Jun 15 21:45 .\ndrwxrwxr-x+         1 wildlama wildlama    0 Jun 15 23:25 ..\n-rw-------+         1 wildlama wildlama 6462 Jun 15 21:45 PLAN.md\n-rw-------+         1 wildlama wildlama 2485 Jun 15 21:45 README.md\ndrwxrwxr-x+         1 wildlama wildlama 4096 Jun 16 08:10 agent_gui\ndrwxrwxr-x+         1 wildlama wildlama    0 Jun 15 21:35 configs\ndrwxrwxr-x+         1 wildlama wildlama    0 Jun 15 23:44 data\ndrwxrwxr-x+         1 wildlama wildlama 4096 Jun 16 08:05 static\ndrwxrwxr-x+         1 wildlama wildlama    0 Jun 15 21:24 tests\n---\n# Agent GUI Local\n\nWeb app locale qui sert de surcouche graphique universelle pour agents LLM CLI.\n\nV1 incluse:\n\n- Backend Python sans dépendance externe.\n- Frontend HTML/CSS/JS vanilla.\n- Chat local.\n- Sessions JSONL.\n- Adaptateur Echo pour tester sans modèle.\n- Adaptateur CLI universel pour brancher Hermes, Claude Code, OpenClaw, etc.\n- Bureau pixel art animé avec petits personnages façon arcade.\n- Avatar de bureau en mode sprite, avec états: idle, thinking, tool, speaking, error.\n\n## Lancer\n\n```bash\ncd /home/wildlama/agent-gui\npython3 -m agent_gui.app --host 127.0.0.1 --port 8765\n```\n\nPuis ouvrir:\n\n```text\nhttp://127.0.0.1:8765\n```\n\n## Tester\n\n```bash\ncd /home/wildlama/agent-gui\npython3 -m unittest discover -s tests -v\n```\n\nSmoke-test API:\n\n```bash\ncurl http://127.0.0.1:8765/health\ncurl -X POST http://127.0.0.1:8765/api/chat \\\n  -H 'Content-Type: application/json' \\\n  -d '{\"agent\":\"echo\",\"message\":\"hello\"}'\n```\n\n## Ajouter un agent\n\nÉditer:\n\n```text\n/home/wildlama/agent-gui/configs/agents.json","is_error":false}]},"uuid":"612139d2-29ec-4eac-957b-6ef97773541d","timestamp":"2026-06-16T06:15:17.126Z","toolUseResult":{"stdout":"total 24\ndrwxrwxr-x+         1 wildlama wildlama 4096 Jun 15 21:45 .\ndrwxrwxr-x+         1 wildlama wildlama    0 Jun 15 23:25 ..\n-rw-------+         1 wildlama wildlama 6462 Jun 15 21:45 PLAN.md\n-rw-------+         1 wildlama wildlama 2485 Jun 15 21:45 README.md\ndrwxrwxr-x+         1 wildlama wildlama 4096 Jun 16 08:10 agent_gui\ndrwxrwxr-x+         1 wildlama wildlama    0 Jun 15 21:35 configs\ndrwxrwxr-x+         1 wildlama wildlama    0 Jun 15 23:44 data\ndrwxrwxr-x+         1 wildlama wildlama 4096 Jun 16 08:05 static\ndrwxrwxr-x+         1 wildlama wildlama    0 Jun 15 21:24 tests\n---\n# Agent GUI Local\n\nWeb app locale qui sert de surcouche graphique universelle pour agents LLM CLI.\n\nV1 incluse:\n\n- Backend Python sans dépendance externe.\n- Frontend HTML/CSS/JS vanilla.\n- Chat local.\n- Sessions JSONL.\n- Adaptateur Echo pour tester sans modèle.\n- Adaptateur CLI universel pour brancher Hermes, Claude Code, OpenClaw, etc.\n- Bureau pixel art animé avec petits personnages façon arcade.\n- Avatar de bureau en mode sprite, avec états: idle, thinking, tool, speaking, error.\n\n## Lancer\n\n```bash\ncd /home/wildlama/agent-gui\npython3 -m agent_gui.app --host 127.0.0.1 --port 8765\n```\n\nPuis ouvrir:\n\n```text\nhttp://127.0.0.1:8765\n```\n\n## Tester\n\n```bash\ncd /home/wildlama/agent-gui\npython3 -m unittest discover -s tests -v\n```\n\nSmoke-test API:\n\n```bash\ncurl http://127.0.0.1:8765/health\ncurl -X POST http://127.0.0.1:8765/api/chat \\\n  -H 'Content-Type: application/json' \\\n  -d '{\"agent\":\"echo\",\"message\":\"hello\"}'\n```\n\n## Ajouter un agent\n\nÉditer:\n\n```text\n/home/wildlama/agent-gui/configs/agents.json","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"c0f226d9-a8c8-4c6a-b593-e9c25201a4cf","userType":"external","entrypoint":"sdk-cli","cwd":"/mnt/DATA/WORK/agent-gui","sessionId":"2c06a32a-c9af-4ee9-ba94-7a56c4acf23d","version":"2.1.178","gitBranch":"HEAD"}
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{"parentUuid":"3be66ceb-0384-4229-802e-26d540d11a24","isSidechain":false,"promptId":"a200fd55-c7c3-47c9-aa2a-4e7e6a99b60b","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01DXre6j4oER4sMCLNn5WYZL","type":"tool_result","content":"1\timport { GaussianSplatRenderer } from '/lib_lam_renderer.js';\n2\t\n3\tconst AVATAR_ZIP = '/avatar/barbara.zip';\n4\tconst FPS = 30;\n5\t\n6\tlet rendererInstance = null;\n7\tlet activeBsData = null;\n8\tlet playStartTime = 0;\n9\tlet audioCtx = null, audioBuffer = null, audioSource = null;\n10\t\n11\tfunction setStatus(text) {\n12\t  const el = document.getElementById('avatarStatus');\n13\t  if (el) el.textContent = text;\n14\t}\n15\t\n16\t// Called by the renderer every frame. Returns {blendshapeName: weight} or null (resting pose).\n17\tfunction getExpressionData() {\n18\t  if (!activeBsData) return null;\n19\t  const total = activeBsData.frames.length;\n20\t  const elapsed = performance.now() / 1000 - playStartTime;\n21\t  const frameIdx = Math.floor(elapsed * FPS);\n22\t  if (frameIdx >= total) {\n23\t    activeBsData = null;\n24\t    setStatus('Prêt');\n25\t    return null;\n26\t  }\n27\t  const weights = activeBsData.frames[frameIdx].weights;\n28\t  const out = {};\n29\t  activeBsData.names.forEach((name, i) => {\n30\t    out[name] = weights[i];\n31\t  });\n32\t  return out;\n33\t}\n34\t\n35\tasync function init() {\n36\t  const container = document.getElementById('avatarRoot');\n37\t  if (!container) return;\n38\t  try {\n39\t    setStatus('Chargement avatar...');\n40\t    rendererInstance = await GaussianSplatRenderer.getInstance(container, AVATAR_ZIP, {\n41\t      getExpressionData,\n42\t      backgroundColor: '0x05080f',\n43\t      loadProgress: (p) => setStatus(`Chargement ${Math.round(p * 100)}%`),\n44\t      downloadProgress: (p) => setStatus(`Téléchargement ${Math.round(p * 100)}%`),\n45\t    });\n46\t    setStatus('Prêt');\n47\t  } catch (err) {\n48\t    console.error('Avatar init failed:', err);\n49\t    setStatus('Erreur chargement avatar');\n50\t  }\n51\t}\n52\t\n53\tasync function loadAudio(url) {\n54\t  if (!audioCtx) audioCtx = new AudioContext();\n55\t  const res = await fetch(url);\n56\t  const buf = await res.arrayBuffer();\n57\t  audioBuffer = await audioCtx.decodeAudioData(buf);\n58\t}\n59\t\n60\tfunction playAudio() {\n61\t  if (!audioCtx || !audioBuffer) return;\n62\t  if (audioSource) { try { audioSource.stop(); } catch (_) {} }\n63\t  audioSource = audioCtx.createBufferSource();\n64\t  audioSource.buffer = audioBuffer;\n65\t  audioSource.connect(audioCtx.destination);\n66\t  audioSource.start(0);\n67\t}\n68\t\n69\t// Start blendshape playback (synced with audio start)\n70\tfunction startAnimation(bsData) {\n71\t  activeBsData = bsData;\n72\t  playStartTime = performance.now() / 1000;\n73\t  setStatus('Parle...');\n74\t}\n75\t\n76\tasync function speakWithAnimation(sessionId) {\n77\t  setStatus('Chargement audio...');\n78\t  try {\n79\t    await loadAudio(`/api/avatar/audio?session_id=${encodeURIComponent(sessionId)}`);\n80\t    playAudio();\n81\t  } catch (e) {\n82\t    console.warn('Audio load failed:', e);\n83\t  }\n84\t}\n85\t\n86\twindow.avatarController = { init, startAnimation, speakWithAnimation, setStatus };\n87\tinit();\n88\t"}]},"uuid":"549bea53-1d42-4f10-952a-4f0770e19eed","timestamp":"2026-06-16T06:15:26.404Z","toolUseResult":{"type":"text","file":{"filePath":"/mnt/DATA/WORK/agent-gui/static/avatar.js","content":"import { GaussianSplatRenderer } from '/lib_lam_renderer.js';\n\nconst AVATAR_ZIP = '/avatar/barbara.zip';\nconst FPS = 30;\n\nlet rendererInstance = null;\nlet activeBsData = null;\nlet playStartTime = 0;\nlet audioCtx = null, audioBuffer = null, audioSource = null;\n\nfunction setStatus(text) {\n  const el = document.getElementById('avatarStatus');\n  if (el) el.textContent = text;\n}\n\n// Called by the renderer every frame. Returns {blendshapeName: weight} or null (resting pose).\nfunction getExpressionData() {\n  if (!activeBsData) return null;\n  const total = activeBsData.frames.length;\n  const elapsed = performance.now() / 1000 - playStartTime;\n  const frameIdx = Math.floor(elapsed * FPS);\n  if (frameIdx >= total) {\n    activeBsData = null;\n    setStatus('Prêt');\n    return null;\n  }\n  const weights = activeBsData.frames[frameIdx].weights;\n  const out = {};\n  activeBsData.names.forEach((name, i) => {\n    out[name] = weights[i];\n  });\n  return out;\n}\n\nasync function init() {\n  const container = document.getElementById('avatarRoot');\n  if (!container) return;\n  try {\n    setStatus('Chargement avatar...');\n    rendererInstance = await GaussianSplatRenderer.getInstance(container, AVATAR_ZIP, {\n      getExpressionData,\n      backgroundColor: '0x05080f',\n      loadProgress: (p) => setStatus(`Chargement ${Math.round(p * 100)}%`),\n      downloadProgress: (p) => setStatus(`Téléchargement ${Math.round(p * 100)}%`),\n    });\n    setStatus('Prêt');\n  } catch (err) {\n    console.error('Avatar init failed:', err);\n    setStatus('Erreur chargement avatar');\n  }\n}\n\nasync function loadAudio(url) {\n  if (!audioCtx) audioCtx = new AudioContext();\n  const res = await fetch(url);\n  const buf = await res.arrayBuffer();\n  audioBuffer = await audioCtx.decodeAudioData(buf);\n}\n\nfunction playAudio() {\n  if (!audioCtx || !audioBuffer) return;\n  if (audioSource) { try { audioSource.stop(); } catch (_) {} }\n  audioSource = audioCtx.createBufferSource();\n  audioSource.buffer = audioBuffer;\n  audioSource.connect(audioCtx.destination);\n  audioSource.start(0);\n}\n\n// Start blendshape playback (synced with audio start)\nfunction startAnimation(bsData) {\n  activeBsData = bsData;\n  playStartTime = performance.now() / 1000;\n  setStatus('Parle...');\n}\n\nasync function speakWithAnimation(sessionId) {\n  setStatus('Chargement audio...');\n  try {\n    await loadAudio(`/api/avatar/audio?session_id=${encodeURIComponent(sessionId)}`);\n    playAudio();\n  } catch (e) {\n    console.warn('Audio load failed:', e);\n  }\n}\n\nwindow.avatarController = { init, startAnimation, speakWithAnimation, setStatus };\ninit();\n","numLines":88,"startLine":1,"totalLines":88}},"sourceToolAssistantUUID":"3be66ceb-0384-4229-802e-26d540d11a24","userType":"external","entrypoint":"sdk-cli","cwd":"/mnt/DATA/WORK/agent-gui","sessionId":"2c06a32a-c9af-4ee9-ba94-7a56c4acf23d","version":"2.1.178","gitBranch":"HEAD"}
{"parentUuid":"549bea53-1d42-4f10-952a-4f0770e19eed","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_01BZBEfSeUZjQvea4mjwZdCL","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Hbw2fN2sDQsdUqbrgFkKge","name":"Read","input":{"file_path":"/mnt/DATA/WORK/agent-gui/agent_gui/tts.py"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1172,"cache_creation_input_tokens":1016,"cache_read_input_tokens":21396,"output_tokens":329,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1016,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":1172,"output_tokens":329,"cache_read_input_tokens":21396,"cache_creation_input_tokens":1016,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1016},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011Cc6SxJJyKsueruV79YqoM","type":"assistant","uuid":"758c2d42-e76d-4af7-bf32-2e534d625b4a","timestamp":"2026-06-16T06:15:26.863Z","userType":"external","entrypoint":"sdk-cli","cwd":"/mnt/DATA/WORK/agent-gui","sessionId":"2c06a32a-c9af-4ee9-ba94-7a56c4acf23d","version":"2.1.178","gitBranch":"HEAD"}
{"parentUuid":"758c2d42-e76d-4af7-bf32-2e534d625b4a","isSidechain":false,"promptId":"a200fd55-c7c3-47c9-aa2a-4e7e6a99b60b","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Hbw2fN2sDQsdUqbrgFkKge","type":"tool_result","content":"1\tfrom __future__ import annotations\n2\t\n3\timport subprocess\n4\tfrom pathlib import Path\n5\t\n6\t_EDGE_TTS = Path.home() / \"miniconda3/bin/edge-tts\"\n7\t\n8\t# Voix par langue détectée (code ISO 639-1 -> voix edge-tts)\n9\t_VOICE_BY_LANG = {\n10\t    \"fr\": \"fr-FR-DeniseNeural\",\n11\t    \"en\": \"en-US-AriaNeural\",\n12\t    \"es\": \"es-ES-ElviraNeural\",\n13\t    \"de\": \"de-DE-KatjaNeural\",\n14\t    \"it\": \"it-IT-ElsaNeural\",\n15\t    \"pt\": \"pt-BR-FranciscaNeural\",\n16\t    \"nl\": \"nl-NL-ColetteNeural\",\n17\t    \"ja\": \"ja-JP-NanamiNeural\",\n18\t    \"zh-cn\": \"zh-CN-XiaoxiaoNeural\",\n19\t    \"ko\": \"ko-KR-SunHiNeural\",\n20\t    \"ru\": \"ru-RU-SvetlanaNeural\",\n21\t    \"ar\": \"ar-SA-ZariyahNeural\",\n22\t}\n23\t_DEFAULT_VOICE = \"fr-FR-DeniseNeural\"\n24\t\n25\t\n26\tdef detect_voice(text: str) -> str:\n27\t    try:\n28\t        from langdetect import detect\n29\t\n30\t        lang = detect(text).lower()\n31\t    except Exception:\n32\t        return _DEFAULT_VOICE\n33\t    if lang in _VOICE_BY_LANG:\n34\t        return _VOICE_BY_LANG[lang]\n35\t    # langdetect renvoie parfois \"zh-tw\" etc. — réduire au préfixe\n36\t    return _VOICE_BY_LANG.get(lang.split(\"-\")[0], _DEFAULT_VOICE)\n37\t\n38\t\n39\tdef synthesize(text: str, wav_path: Path, voice: str | None = None) -> None:\n40\t    voice = voice or detect_voice(text)\n41\t    mp3_path = wav_path.with_suffix(\".mp3\")\n42\t    subprocess.run(\n43\t        [str(_EDGE_TTS), \"--text\", text, \"--voice\", voice, \"--write-media\", str(mp3_path)],\n44\t        check=True,\n45\t        timeout=60,\n46\t        capture_output=True,\n47\t    )\n48\t    subprocess.run(\n49\t        [\"ffmpeg\", \"-y\", \"-i\", str(mp3_path), \"-ar\", \"16000\", \"-ac\", \"1\", str(wav_path)],\n50\t        check=True,\n51\t        capture_output=True,\n52\t    )\n53\t    mp3_path.unlink(missing_ok=True)\n54\t"}]},"uuid":"e693cd30-d155-4533-8ee7-12aa0a8c83a2","timestamp":"2026-06-16T06:15:26.867Z","toolUseResult":{"type":"text","file":{"filePath":"/mnt/DATA/WORK/agent-gui/agent_gui/tts.py","content":"from __future__ import annotations\n\nimport subprocess\nfrom pathlib import Path\n\n_EDGE_TTS = Path.home() / \"miniconda3/bin/edge-tts\"\n\n# Voix par langue détectée (code ISO 639-1 -> voix edge-tts)\n_VOICE_BY_LANG = {\n    \"fr\": \"fr-FR-DeniseNeural\",\n    \"en\": \"en-US-AriaNeural\",\n    \"es\": \"es-ES-ElviraNeural\",\n    \"de\": \"de-DE-KatjaNeural\",\n    \"it\": \"it-IT-ElsaNeural\",\n    \"pt\": \"pt-BR-FranciscaNeural\",\n    \"nl\": \"nl-NL-ColetteNeural\",\n    \"ja\": \"ja-JP-NanamiNeural\",\n    \"zh-cn\": \"zh-CN-XiaoxiaoNeural\",\n    \"ko\": \"ko-KR-SunHiNeural\",\n    \"ru\": \"ru-RU-SvetlanaNeural\",\n    \"ar\": \"ar-SA-ZariyahNeural\",\n}\n_DEFAULT_VOICE = \"fr-FR-DeniseNeural\"\n\n\ndef detect_voice(text: str) -> str:\n    try:\n        from langdetect import detect\n\n        lang = detect(text).lower()\n    except Exception:\n        return _DEFAULT_VOICE\n    if lang in _VOICE_BY_LANG:\n        return _VOICE_BY_LANG[lang]\n    # langdetect renvoie parfois \"zh-tw\" etc. — réduire au préfixe\n    return _VOICE_BY_LANG.get(lang.split(\"-\")[0], _DEFAULT_VOICE)\n\n\ndef synthesize(text: str, wav_path: Path, voice: str | None = None) -> None:\n    voice = voice or detect_voice(text)\n    mp3_path = wav_path.with_suffix(\".mp3\")\n    subprocess.run(\n        [str(_EDGE_TTS), \"--text\", text, \"--voice\", voice, \"--write-media\", str(mp3_path)],\n        check=True,\n        timeout=60,\n        capture_output=True,\n    )\n    subprocess.run(\n        [\"ffmpeg\", \"-y\", \"-i\", str(mp3_path), \"-ar\", \"16000\", \"-ac\", \"1\", str(wav_path)],\n        check=True,\n        capture_output=True,\n    )\n    mp3_path.unlink(missing_ok=True)\n","numLines":54,"startLine":1,"totalLines":54}},"sourceToolAssistantUUID":"758c2d42-e76d-4af7-bf32-2e534d625b4a","userType":"external","entrypoint":"sdk-cli","cwd":"/mnt/DATA/WORK/agent-gui","sessionId":"2c06a32a-c9af-4ee9-ba94-7a56c4acf23d","version":"2.1.178","gitBranch":"HEAD"}
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{"type":"ai-title","aiTitle":"Avatar ne parle plus","sessionId":"2c06a32a-c9af-4ee9-ba94-7a56c4acf23d"}
{"parentUuid":"e693cd30-d155-4533-8ee7-12aa0a8c83a2","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_01G3PLWhURwBr6RASesRHh5J","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"Eu4CCmMIDhgCKkCb0h2tKT3RVn48zYhmIwihU3Zp90rtcorTvsUUfQMKmLDt5qSQBNdmcDgEpCpLhRPNE6+RtZf4CFyUcGEPI+uwMg9jbGF1ZGUtb3B1cy00LTg4AEIIdGhpbmtpbmcSDKZ7smOPDF3Lx6ofERoMnKOxUrZXguGZ6PCDIjDs8vByjeRHlaLoPGx+oyY8NlXf3/Kr/I/95r7ibFaq7x3U+Lu0X7/higA+pE6pBxUquAG9zOUy6JSaQpAc0PToL2Gu6GUaVHIwIXsO96JcBIfFU+mVD2SiLeT/hsOpL4eGVN1jIkhYCrzPoDGt84wnmQSOWe8GU9583hxpm6YrjxKXQ7TACkcyxpk1TjFEdYp9UF7KjKVbE1Vg4zBpYDOWMHF66o3a7X184r6bHAX4q51pcj3bu9PFnKfILT40D6rMIj5nJaVbnRDM9fkkbAQKw1mknqL8oQ4ss0M0q2MPu7mnZqsNYIT9S67DGAE="}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3791,"cache_read_input_tokens":22412,"output_tokens":213,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":3791,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":213,"cache_read_input_tokens":22412,"cache_creation_input_tokens":3791,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":3791},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011Cc6SxiW1iM6Kb1uLDFu9c","type":"assistant","uuid":"6fdd1da6-c23b-4c28-a055-8c5fad8323bd","timestamp":"2026-06-16T06:15:30.292Z","userType":"external","entrypoint":"sdk-cli","cwd":"/mnt/DATA/WORK/agent-gui","sessionId":"2c06a32a-c9af-4ee9-ba94-7a56c4acf23d","version":"2.1.178","gitBranch":"HEAD"}
{"parentUuid":"6fdd1da6-c23b-4c28-a055-8c5fad8323bd","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_01G3PLWhURwBr6RASesRHh5J","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01UCbzmGAJBxUgMGa58QdaKG","name":"Bash","input":{"command":"grep -n \"avatar\\|speak\\|startAnimation\\|tts\\|blend\\|/api/avatar\\|bsData\\|expression\" static/app.js agent_gui/app.py agent_gui/avatar_lam.py","description":"Find avatar/speak wiring across files"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3791,"cache_read_input_tokens":22412,"output_tokens":213,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":3791,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":213,"cache_read_input_tokens":22412,"cache_creation_input_tokens":3791,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":3791},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011Cc6SxiW1iM6Kb1uLDFu9c","type":"assistant","uuid":"aae9689a-5abe-469c-8efc-d909576683dc","timestamp":"2026-06-16T06:15:31.419Z","userType":"external","entrypoint":"sdk-cli","cwd":"/mnt/DATA/WORK/agent-gui","sessionId":"2c06a32a-c9af-4ee9-ba94-7a56c4acf23d","version":"2.1.178","gitBranch":"HEAD"}
{"parentUuid":"aae9689a-5abe-469c-8efc-d909576683dc","isSidechain":false,"promptId":"a200fd55-c7c3-47c9-aa2a-4e7e6a99b60b","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01UCbzmGAJBxUgMGa58QdaKG","type":"tool_result","content":"static/app.js:271:    setCrewMood(event.agent, 'speaking', truncateBubble(event.content), 2400);\nstatic/app.js:358:      const data = await api(`/api/avatar/anim?session_id=${encodeURIComponent(sessionId)}`);\nstatic/app.js:362:      if (data.status === 'ready' && window.avatarController) {\nstatic/app.js:363:        await window.avatarController.speakWithAnimation(sessionId);\nstatic/app.js:364:        window.avatarController.startAnimation(data.bsData);\nstatic/app.js:368:        if (window.avatarController) window.avatarController.setStatus('Erreur TTS/A2E');\nstatic/app.js:394:    $('officeCaption').textContent = data.avatar?.state === 'speaking'\nstatic/app.js:397:    setStatus(data.avatar?.state || 'speaking');\nstatic/app.js:398:    if (data.avatar_anim === 'pending') {\nstatic/app.js:399:      if (window.avatarController) window.avatarController.setStatus('Génération avatar...');\nstatic/app.js:663:  if (pose === 'speaking') {\nstatic/app.js:744:    if (member.mood === 'speaking') {\nstatic/app.js:796:      if (member.mood === 'speaking' && now - member.lastTalkAt > 2400) {\nagent_gui/app.py:12:from .avatar import available_states, get_avatar\nagent_gui/app.py:20:TTS_DIR = PROJECT_ROOT / \"data\" / \"tts\"\nagent_gui/app.py:28:def _start_avatar_pipeline(session_id: str, text: str) -> None:\nagent_gui/app.py:34:            from .tts import synthesize\nagent_gui/app.py:35:            from .avatar_lam import audio_to_blendshapes\nagent_gui/app.py:39:            bs_data = audio_to_blendshapes(wav_path)\nagent_gui/app.py:72:        if parsed.path == \"/api/avatar\":\nagent_gui/app.py:74:            return self.json_response({\"avatar\": get_avatar(state), \"states\": available_states()})\nagent_gui/app.py:80:        if parsed.path == \"/api/avatar/anim\":\nagent_gui/app.py:88:            return self.json_response({\"status\": \"ready\", \"bsData\": val})\nagent_gui/app.py:89:        if parsed.path == \"/api/avatar/audio\":\nagent_gui/app.py:131:                _start_avatar_pipeline(session_id, assistant_text)\nagent_gui/app.py:138:                    \"avatar\": get_avatar(result.avatar_state),\nagent_gui/app.py:139:                    \"avatar_anim\": \"pending\" if assistant_text else None,\nagent_gui/app.py:143:            return self.json_response({\"error\": str(exc), \"avatar\": get_avatar(\"error\")}, status=404)\nagent_gui/app.py:145:            return self.json_response({\"error\": str(exc), \"avatar\": get_avatar(\"error\")}, status=500)\nagent_gui/avatar_lam.py:13:def audio_to_blendshapes(audio_path: Path) -> dict:","is_error":false}]},"uuid":"3cdcbd03-dfa3-4308-88fd-8945d5e521fb","timestamp":"2026-06-16T06:15:31.509Z","toolUseResult":{"stdout":"static/app.js:271:    setCrewMood(event.agent, 'speaking', truncateBubble(event.content), 2400);\nstatic/app.js:358:      const data = await api(`/api/avatar/anim?session_id=${encodeURIComponent(sessionId)}`);\nstatic/app.js:362:      if (data.status === 'ready' && window.avatarController) {\nstatic/app.js:363:        await window.avatarController.speakWithAnimation(sessionId);\nstatic/app.js:364:        window.avatarController.startAnimation(data.bsData);\nstatic/app.js:368:        if (window.avatarController) window.avatarController.setStatus('Erreur TTS/A2E');\nstatic/app.js:394:    $('officeCaption').textContent = data.avatar?.state === 'speaking'\nstatic/app.js:397:    setStatus(data.avatar?.state || 'speaking');\nstatic/app.js:398:    if (data.avatar_anim === 'pending') {\nstatic/app.js:399:      if (window.avatarController) window.avatarController.setStatus('Génération avatar...');\nstatic/app.js:663:  if (pose === 'speaking') {\nstatic/app.js:744:    if (member.mood === 'speaking') {\nstatic/app.js:796:      if (member.mood === 'speaking' && now - member.lastTalkAt > 2400) {\nagent_gui/app.py:12:from .avatar import available_states, get_avatar\nagent_gui/app.py:20:TTS_DIR = PROJECT_ROOT / \"data\" / \"tts\"\nagent_gui/app.py:28:def _start_avatar_pipeline(session_id: str, text: str) -> None:\nagent_gui/app.py:34:            from .tts import synthesize\nagent_gui/app.py:35:            from .avatar_lam import audio_to_blendshapes\nagent_gui/app.py:39:            bs_data = audio_to_blendshapes(wav_path)\nagent_gui/app.py:72:        if parsed.path == \"/api/avatar\":\nagent_gui/app.py:74:            return self.json_response({\"avatar\": get_avatar(state), \"states\": available_states()})\nagent_gui/app.py:80:        if parsed.path == \"/api/avatar/anim\":\nagent_gui/app.py:88:            return self.json_response({\"status\": \"ready\", \"bsData\": val})\nagent_gui/app.py:89:        if parsed.path == \"/api/avatar/audio\":\nagent_gui/app.py:131:                _start_avatar_pipeline(session_id, assistant_text)\nagent_gui/app.py:138:                    \"avatar\": get_avatar(result.avatar_state),\nagent_gui/app.py:139:                    \"avatar_anim\": \"pending\" if assistant_text else None,\nagent_gui/app.py:143:            return self.json_response({\"error\": str(exc), \"avatar\": get_avatar(\"error\")}, status=404)\nagent_gui/app.py:145:            return self.json_response({\"error\": str(exc), \"avatar\": get_avatar(\"error\")}, status=500)\nagent_gui/avatar_lam.py:13:def audio_to_blendshapes(audio_path: Path) -> dict:","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"aae9689a-5abe-469c-8efc-d909576683dc","userType":"external","entrypoint":"sdk-cli","cwd":"/mnt/DATA/WORK/agent-gui","sessionId":"2c06a32a-c9af-4ee9-ba94-7a56c4acf23d","version":"2.1.178","gitBranch":"HEAD"}
{"parentUuid":"3cdcbd03-dfa3-4308-88fd-8945d5e521fb","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_01HUa5WUSnUT3Xs44o8kpj7Z","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01YY3KYS24QKF5utvGj9SyWV","name":"Read","input":{"file_path":"/mnt/DATA/WORK/agent-gui/agent_gui/app.py","limit":100},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1277,"cache_read_input_tokens":26203,"output_tokens":286,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1277,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":286,"cache_read_input_tokens":26203,"cache_creation_input_tokens":1277,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1277},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011Cc6Sy4CSHanyFgJgwvy7o","type":"assistant","uuid":"a7b5b651-e955-47e2-b093-21c3b5614b57","timestamp":"2026-06-16T06:15:34.463Z","userType":"external","entrypoint":"sdk-cli","cwd":"/mnt/DATA/WORK/agent-gui","sessionId":"2c06a32a-c9af-4ee9-ba94-7a56c4acf23d","version":"2.1.178","gitBranch":"HEAD"}
{"parentUuid":"a7b5b651-e955-47e2-b093-21c3b5614b57","isSidechain":false,"promptId":"a200fd55-c7c3-47c9-aa2a-4e7e6a99b60b","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01YY3KYS24QKF5utvGj9SyWV","type":"tool_result","content":"1\tfrom __future__ import annotations\n2\t\n3\timport argparse\n4\timport json\n5\timport mimetypes\n6\timport threading\n7\tfrom http.server import BaseHTTPRequestHandler, ThreadingHTTPServer\n8\tfrom pathlib import Path\n9\tfrom urllib.parse import parse_qs, urlparse\n10\t\n11\tfrom .adapters import adapter_for\n12\tfrom .avatar import available_states, get_avatar\n13\tfrom .config import find_agent, load_agents\n14\tfrom .sessions import SessionStore, new_session_id, utc_now\n15\t\n16\tPROJECT_ROOT = Path(__file__).resolve().parent.parent\n17\tSTATIC_ROOT = PROJECT_ROOT / \"static\"\n18\tDEFAULT_CONFIG = PROJECT_ROOT / \"configs\" / \"agents.json\"\n19\tDEFAULT_SESSIONS = PROJECT_ROOT / \"data\" / \"sessions\"\n20\tTTS_DIR = PROJECT_ROOT / \"data\" / \"tts\"\n21\tTTS_DIR.mkdir(parents=True, exist_ok=True)\n22\t\n23\t# keyed by session_id: None=pending, dict=ready, str=error message\n24\t_anim_store: dict[str, None | dict | str] = {}\n25\t_anim_lock = threading.Lock()\n26\t\n27\t\n28\tdef _start_avatar_pipeline(session_id: str, text: str) -> None:\n29\t    with _anim_lock:\n30\t        _anim_store[session_id] = None  # pending\n31\t\n32\t    def _run() -> None:\n33\t        try:\n34\t            from .tts import synthesize\n35\t            from .avatar_lam import audio_to_blendshapes\n36\t\n37\t            wav_path = TTS_DIR / f\"{session_id}.wav\"\n38\t            synthesize(text, wav_path)\n39\t            bs_data = audio_to_blendshapes(wav_path)\n40\t            with _anim_lock:\n41\t                _anim_store[session_id] = bs_data\n42\t        except Exception as exc:\n43\t            with _anim_lock:\n44\t                _anim_store[session_id] = str(exc)\n45\t\n46\t    threading.Thread(target=_run, daemon=True).start()\n47\t\n48\t\n49\tclass AgentGuiServer(ThreadingHTTPServer):\n50\t    def __init__(self, server_address, RequestHandlerClass, config_path: Path, sessions_root: Path):\n51\t        super().__init__(server_address, RequestHandlerClass)\n52\t        self.config_path = config_path\n53\t        self.sessions = SessionStore(sessions_root)\n54\t\n55\t    @property\n56\t    def agents(self):\n57\t        return load_agents(self.config_path)\n58\t\n59\t\n60\tclass Handler(BaseHTTPRequestHandler):\n61\t    server: AgentGuiServer\n62\t\n63\t    def log_message(self, format: str, *args):\n64\t        print(\"[agent-gui] \" + format % args)\n65\t\n66\t    def do_GET(self):\n67\t        parsed = urlparse(self.path)\n68\t        if parsed.path == \"/health\":\n69\t            return self.json_response({\"ok\": True, \"service\": \"agent-gui\", \"time\": utc_now()})\n70\t        if parsed.path == \"/api/agents\":\n71\t            return self.json_response({\"agents\": self.server.agents})\n72\t        if parsed.path == \"/api/avatar\":\n73\t            state = parse_qs(parsed.query).get(\"state\", [\"idle\"])[0]\n74\t            return self.json_response({\"avatar\": get_avatar(state), \"states\": available_states()})\n75\t        if parsed.path == \"/api/sessions\":\n76\t            return self.json_response({\"sessions\": self.server.sessions.list_sessions()})\n77\t        if parsed.path == \"/api/history\":\n78\t            session_id = parse_qs(parsed.query).get(\"session_id\", [\"\"])[0]\n79\t            return self.json_response({\"events\": self.server.sessions.read(session_id)})\n80\t        if parsed.path == \"/api/avatar/anim\":\n81\t            session_id = parse_qs(parsed.query).get(\"session_id\", [\"\"])[0]\n82\t            with _anim_lock:\n83\t                val = _anim_store.get(session_id)\n84\t            if val is None:\n85\t                return self.json_response({\"status\": \"pending\"})\n86\t            if isinstance(val, str):\n87\t                return self.json_response({\"status\": \"error\", \"message\": val})\n88\t            return self.json_response({\"status\": \"ready\", \"bsData\": val})\n89\t        if parsed.path == \"/api/avatar/audio\":\n90\t            session_id = parse_qs(parsed.query).get(\"session_id\", [\"\"])[0]\n91\t            wav = TTS_DIR / f\"{session_id}.wav\"\n92\t            if not wav.exists():\n93\t                return self.json_response({\"error\": \"audio not found\"}, status=404)\n94\t            body = wav.read_bytes()\n95\t            self.send_response(200)\n96\t            self.send_header(\"Content-Type\", \"audio/wav\")\n97\t            self.send_header(\"Content-Length\", str(len(body)))\n98\t            self.end_headers()\n99\t            self.wfile.write(body)\n100\t            return"}]},"uuid":"8a64aa29-c0e8-45b0-8968-115860d0e99a","timestamp":"2026-06-16T06:15:34.470Z","toolUseResult":{"type":"text","file":{"filePath":"/mnt/DATA/WORK/agent-gui/agent_gui/app.py","content":"from __future__ import annotations\n\nimport argparse\nimport json\nimport mimetypes\nimport threading\nfrom http.server import BaseHTTPRequestHandler, ThreadingHTTPServer\nfrom pathlib import Path\nfrom urllib.parse import parse_qs, urlparse\n\nfrom .adapters import adapter_for\nfrom .avatar import available_states, get_avatar\nfrom .config import find_agent, load_agents\nfrom .sessions import SessionStore, new_session_id, utc_now\n\nPROJECT_ROOT = Path(__file__).resolve().parent.parent\nSTATIC_ROOT = PROJECT_ROOT / \"static\"\nDEFAULT_CONFIG = PROJECT_ROOT / \"configs\" / \"agents.json\"\nDEFAULT_SESSIONS = PROJECT_ROOT / \"data\" / \"sessions\"\nTTS_DIR = PROJECT_ROOT / \"data\" / \"tts\"\nTTS_DIR.mkdir(parents=True, exist_ok=True)\n\n# keyed by session_id: None=pending, dict=ready, str=error message\n_anim_store: dict[str, None | dict | str] = {}\n_anim_lock = threading.Lock()\n\n\ndef _start_avatar_pipeline(session_id: str, text: str) -> None:\n    with _anim_lock:\n        _anim_store[session_id] = None  # pending\n\n    def _run() -> None:\n        try:\n            from .tts import synthesize\n            from .avatar_lam import audio_to_blendshapes\n\n            wav_path = TTS_DIR / f\"{session_id}.wav\"\n            synthesize(text, wav_path)\n            bs_data = audio_to_blendshapes(wav_path)\n            with _anim_lock:\n                _anim_store[session_id] = bs_data\n        except Exception as exc:\n            with _anim_lock:\n                _anim_store[session_id] = str(exc)\n\n    threading.Thread(target=_run, daemon=True).start()\n\n\nclass AgentGuiServer(ThreadingHTTPServer):\n    def __init__(self, server_address, RequestHandlerClass, config_path: Path, sessions_root: Path):\n        super().__init__(server_address, RequestHandlerClass)\n        self.config_path = config_path\n        self.sessions = SessionStore(sessions_root)\n\n    @property\n    def agents(self):\n        return load_agents(self.config_path)\n\n\nclass Handler(BaseHTTPRequestHandler):\n    server: AgentGuiServer\n\n    def log_message(self, format: str, *args):\n        print(\"[agent-gui] \" + format % args)\n\n    def do_GET(self):\n        parsed = urlparse(self.path)\n        if parsed.path == \"/health\":\n            return self.json_response({\"ok\": True, \"service\": \"agent-gui\", \"time\": utc_now()})\n        if parsed.path == \"/api/agents\":\n            return self.json_response({\"agents\": self.server.agents})\n        if parsed.path == \"/api/avatar\":\n            state = parse_qs(parsed.query).get(\"state\", [\"idle\"])[0]\n            return self.json_response({\"avatar\": get_avatar(state), \"states\": available_states()})\n        if parsed.path == \"/api/sessions\":\n            return self.json_response({\"sessions\": self.server.sessions.list_sessions()})\n        if parsed.path == \"/api/history\":\n            session_id = parse_qs(parsed.query).get(\"session_id\", [\"\"])[0]\n            return self.json_response({\"events\": self.server.sessions.read(session_id)})\n        if parsed.path == \"/api/avatar/anim\":\n            session_id = parse_qs(parsed.query).get(\"session_id\", [\"\"])[0]\n            with _anim_lock:\n                val = _anim_store.get(session_id)\n            if val is None:\n                return self.json_response({\"status\": \"pending\"})\n            if isinstance(val, str):\n                return self.json_response({\"status\": \"error\", \"message\": val})\n            return self.json_response({\"status\": \"ready\", \"bsData\": val})\n        if parsed.path == \"/api/avatar/audio\":\n            session_id = parse_qs(parsed.query).get(\"session_id\", [\"\"])[0]\n            wav = TTS_DIR / f\"{session_id}.wav\"\n            if not wav.exists():\n                return self.json_response({\"error\": \"audio not found\"}, status=404)\n            body = wav.read_bytes()\n            self.send_response(200)\n            self.send_header(\"Content-Type\", \"audio/wav\")\n            self.send_header(\"Content-Length\", str(len(body)))\n            self.end_headers()\n            self.wfile.write(body)\n            return","numLines":100,"startLine":1,"totalLines":193}},"sourceToolAssistantUUID":"a7b5b651-e955-47e2-b093-21c3b5614b57","userType":"external","entrypoint":"sdk-cli","cwd":"/mnt/DATA/WORK/agent-gui","sessionId":"2c06a32a-c9af-4ee9-ba94-7a56c4acf23d","version":"2.1.178","gitBranch":"HEAD"}
{"parentUuid":"8a64aa29-c0e8-45b0-8968-115860d0e99a","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_01HUa5WUSnUT3Xs44o8kpj7Z","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_019cmnBvNX8ZycHLHzhPFJVR","name":"Read","input":{"file_path":"/mnt/DATA/WORK/agent-gui/agent_gui/avatar_lam.py"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1277,"cache_read_input_tokens":26203,"output_tokens":286,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1277,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":286,"cache_read_input_tokens":26203,"cache_creation_input_tokens":1277,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1277},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011Cc6Sy4CSHanyFgJgwvy7o","type":"assistant","uuid":"51a46281-4a9e-4852-a8fb-5cd167bb8d1b","timestamp":"2026-06-16T06:15:34.958Z","userType":"external","entrypoint":"sdk-cli","cwd":"/mnt/DATA/WORK/agent-gui","sessionId":"2c06a32a-c9af-4ee9-ba94-7a56c4acf23d","version":"2.1.178","gitBranch":"HEAD"}
{"parentUuid":"51a46281-4a9e-4852-a8fb-5cd167bb8d1b","isSidechain":false,"promptId":"a200fd55-c7c3-47c9-aa2a-4e7e6a99b60b","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_019cmnBvNX8ZycHLHzhPFJVR","type":"tool_result","content":"1\tfrom __future__ import annotations\n2\t\n3\timport json\n4\timport subprocess\n5\timport tempfile\n6\tfrom pathlib import Path\n7\t\n8\t_LAM_DIR = Path(\"/mnt/DATA/WORK/LAM_Audio2Expression\")\n9\t_CONDA = Path.home() / \"miniconda3/bin/conda\"\n10\t_SCRIPT = _LAM_DIR / \"run_inference.py\"\n11\t\n12\t\n13\tdef audio_to_blendshapes(audio_path: Path) -> dict:\n14\t    with tempfile.NamedTemporaryFile(suffix=\".json\", delete=False) as fh:\n15\t        out = Path(fh.name)\n16\t    try:\n17\t        subprocess.run(\n18\t            [\n19\t                str(_CONDA), \"run\", \"--no-capture-output\", \"-n\", \"lam_a2e\",\n20\t                \"python\", str(_SCRIPT),\n21\t                \"--audio\", str(audio_path),\n22\t                \"--output\", str(out),\n23\t            ],\n24\t            check=True,\n25\t            cwd=str(_LAM_DIR),\n26\t            timeout=300,\n27\t        )\n28\t        return json.loads(out.read_text())\n29\t    finally:\n30\t        out.unlink(missing_ok=True)\n31\t"}]},"uuid":"230cd7e6-b231-4d91-8742-d2c7019350f6","timestamp":"2026-06-16T06:15:34.962Z","toolUseResult":{"type":"text","file":{"filePath":"/mnt/DATA/WORK/agent-gui/agent_gui/avatar_lam.py","content":"from __future__ import annotations\n\nimport json\nimport subprocess\nimport tempfile\nfrom pathlib import Path\n\n_LAM_DIR = Path(\"/mnt/DATA/WORK/LAM_Audio2Expression\")\n_CONDA = Path.home() / \"miniconda3/bin/conda\"\n_SCRIPT = _LAM_DIR / \"run_inference.py\"\n\n\ndef audio_to_blendshapes(audio_path: Path) -> dict:\n    with tempfile.NamedTemporaryFile(suffix=\".json\", delete=False) as fh:\n        out = Path(fh.name)\n    try:\n        subprocess.run(\n            [\n                str(_CONDA), \"run\", \"--no-capture-output\", \"-n\", \"lam_a2e\",\n                \"python\", str(_SCRIPT),\n                \"--audio\", str(audio_path),\n                \"--output\", str(out),\n            ],\n            check=True,\n            cwd=str(_LAM_DIR),\n            timeout=300,\n        )\n        return json.loads(out.read_text())\n    finally:\n        out.unlink(missing_ok=True)\n","numLines":31,"startLine":1,"totalLines":31}},"sourceToolAssistantUUID":"51a46281-4a9e-4852-a8fb-5cd167bb8d1b","userType":"external","entrypoint":"sdk-cli","cwd":"/mnt/DATA/WORK/agent-gui","sessionId":"2c06a32a-c9af-4ee9-ba94-7a56c4acf23d","version":"2.1.178","gitBranch":"HEAD"}
{"parentUuid":"230cd7e6-b231-4d91-8742-d2c7019350f6","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_01HUa5WUSnUT3Xs44o8kpj7Z","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_0192PMBr5aVDbahrcEB1hVJ4","name":"Read","input":{"file_path":"/mnt/DATA/WORK/agent-gui/static/app.js","offset":345,"limit":60},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1277,"cache_read_input_tokens":26203,"output_tokens":286,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1277,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":286,"cache_read_input_tokens":26203,"cache_creation_input_tokens":1277,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1277},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011Cc6Sy4CSHanyFgJgwvy7o","type":"assistant","uuid":"81ec9968-fa2b-4fbc-8a5a-067f9748f919","timestamp":"2026-06-16T06:15:35.702Z","userType":"external","entrypoint":"sdk-cli","cwd":"/mnt/DATA/WORK/agent-gui","sessionId":"2c06a32a-c9af-4ee9-ba94-7a56c4acf23d","version":"2.1.178","gitBranch":"HEAD"}
{"parentUuid":"81ec9968-fa2b-4fbc-8a5a-067f9748f919","isSidechain":false,"promptId":"a200fd55-c7c3-47c9-aa2a-4e7e6a99b60b","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0192PMBr5aVDbahrcEB1hVJ4","type":"tool_result","content":"345\t  $('sessionLabel').textContent = `Session ${sessionId}`;\n346\t  $('chatLog').innerHTML = '';\n347\t  $('timeline').innerHTML = '';\n348\t  const data = await api(`/api/history?session_id=${encodeURIComponent(sessionId)}`);\n349\t  data.events.forEach(renderEvent);\n350\t}\n351\t\n352\tlet _animPollTimer = null;\n353\t\n354\tfunction pollAvatarAnim(sessionId) {\n355\t  if (_animPollTimer) clearInterval(_animPollTimer);\n356\t  _animPollTimer = setInterval(async () => {\n357\t    try {\n358\t      const data = await api(`/api/avatar/anim?session_id=${encodeURIComponent(sessionId)}`);\n359\t      if (data.status === 'pending') return;\n360\t      clearInterval(_animPollTimer);\n361\t      _animPollTimer = null;\n362\t      if (data.status === 'ready' && window.avatarController) {\n363\t        await window.avatarController.speakWithAnimation(sessionId);\n364\t        window.avatarController.startAnimation(data.bsData);\n365\t      }\n366\t      if (data.status === 'error') {\n367\t        console.warn('Avatar anim error:', data.message);\n368\t        if (window.avatarController) window.avatarController.setStatus('Erreur TTS/A2E');\n369\t      }\n370\t    } catch (_) {}\n371\t  }, 800);\n372\t}\n373\t\n374\tasync function sendMessage(event) {\n375\t  event.preventDefault();\n376\t  const input = $('messageInput');\n377\t  const message = input.value.trim();\n378\t  if (!message) return;\n379\t  const agent = $('agentSelect').value;\n380\t  const sessionId = await ensureSession();\n381\t\n382\t  input.value = '';\n383\t  renderEvent({ type: 'user_message', content: message, agent });\n384\t  setStatus('thinking');\n385\t  setOfficeCaption(`${agent} est en train de réfléchir...`);\n386\t  setCrewMood(agent, 'thinking', '', 0);\n387\t\n388\t  try {\n389\t    const data = await api('/api/chat', {\n390\t      method: 'POST',\n391\t      body: JSON.stringify({ agent, message, session_id: sessionId }),\n392\t    });\n393\t    data.events.forEach(renderEvent);\n394\t    $('officeCaption').textContent = data.avatar?.state === 'speaking'\n395\t      ? `${agent} est retourné à son bureau.`\n396\t      : state.sceneMessage;\n397\t    setStatus(data.avatar?.state || 'speaking');\n398\t    if (data.avatar_anim === 'pending') {\n399\t      if (window.avatarController) window.avatarController.setStatus('Génération avatar...');\n400\t      pollAvatarAnim(sessionId);\n401\t    }\n402\t    await loadSessions();\n403\t  } catch (error) {\n404\t    addMessage('error', error.message, 'erreur');"}]},"uuid":"89d66d7f-e896-4c59-a880-d78b964c8d2a","timestamp":"2026-06-16T06:15:35.708Z","toolUseResult":{"type":"text","file":{"filePath":"/mnt/DATA/WORK/agent-gui/static/app.js","content":"  $('sessionLabel').textContent = `Session ${sessionId}`;\n  $('chatLog').innerHTML = '';\n  $('timeline').innerHTML = '';\n  const data = await api(`/api/history?session_id=${encodeURIComponent(sessionId)}`);\n  data.events.forEach(renderEvent);\n}\n\nlet _animPollTimer = null;\n\nfunction pollAvatarAnim(sessionId) {\n  if (_animPollTimer) clearInterval(_animPollTimer);\n  _animPollTimer = setInterval(async () => {\n    try {\n      const data = await api(`/api/avatar/anim?session_id=${encodeURIComponent(sessionId)}`);\n      if (data.status === 'pending') return;\n      clearInterval(_animPollTimer);\n      _animPollTimer = null;\n      if (data.status === 'ready' && window.avatarController) {\n        await window.avatarController.speakWithAnimation(sessionId);\n        window.avatarController.startAnimation(data.bsData);\n      }\n      if (data.status === 'error') {\n        console.warn('Avatar anim error:', data.message);\n        if (window.avatarController) window.avatarController.setStatus('Erreur TTS/A2E');\n      }\n    } catch (_) {}\n  }, 800);\n}\n\nasync function sendMessage(event) {\n  event.preventDefault();\n  const input = $('messageInput');\n  const message = input.value.trim();\n  if (!message) return;\n  const agent = $('agentSelect').value;\n  const sessionId = await ensureSession();\n\n  input.value = '';\n  renderEvent({ type: 'user_message', content: message, agent });\n  setStatus('thinking');\n  setOfficeCaption(`${agent} est en train de réfléchir...`);\n  setCrewMood(agent, 'thinking', '', 0);\n\n  try {\n    const data = await api('/api/chat', {\n      method: 'POST',\n      body: JSON.stringify({ agent, message, session_id: sessionId }),\n    });\n    data.events.forEach(renderEvent);\n    $('officeCaption').textContent = data.avatar?.state === 'speaking'\n      ? `${agent} est retourné à son bureau.`\n      : state.sceneMessage;\n    setStatus(data.avatar?.state || 'speaking');\n    if (data.avatar_anim === 'pending') {\n      if (window.avatarController) window.avatarController.setStatus('Génération avatar...');\n      pollAvatarAnim(sessionId);\n    }\n    await loadSessions();\n  } catch (error) {\n    addMessage('error', error.message, 'erreur');","numLines":60,"startLine":345,"totalLines":870}},"sourceToolAssistantUUID":"81ec9968-fa2b-4fbc-8a5a-067f9748f919","userType":"external","entrypoint":"sdk-cli","cwd":"/mnt/DATA/WORK/agent-gui","sessionId":"2c06a32a-c9af-4ee9-ba94-7a56c4acf23d","version":"2.1.178","gitBranch":"HEAD"}
{"parentUuid":"89d66d7f-e896-4c59-a880-d78b964c8d2a","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_01W9s6dUrjnaE4A7UrSsB7P9","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3516,"cache_read_input_tokens":27480,"output_tokens":768,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":3516,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":768,"cache_read_input_tokens":27480,"cache_creation_input_tokens":3516,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":3516},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011Cc6SyNCADWVJkFc7xG4TR","type":"assistant","uuid":"edbfede3-64e4-44f9-8922-cbf28856b701","timestamp":"2026-06-16T06:15:46.989Z","userType":"external","entrypoint":"sdk-cli","cwd":"/mnt/DATA/WORK/agent-gui","sessionId":"2c06a32a-c9af-4ee9-ba94-7a56c4acf23d","version":"2.1.178","gitBranch":"HEAD"}
{"parentUuid":"edbfede3-64e4-44f9-8922-cbf28856b701","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_01W9s6dUrjnaE4A7UrSsB7P9","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01HK4st7CqEqqNmPRwyyVRMN","name":"Bash","input":{"command":"cd /mnt/DATA/WORK/agent-gui\necho \"=== mtimes ===\"\nls -la --time-style=+%H:%M agent_gui/*.py static/*.js static/*.html\necho \"=== data/tts ===\"\nls -la data/tts 2>/dev/null || echo \"(no tts dir yet)\"\nls -la data/sessions 2>/dev/null | tail -5\necho \"=== deps ===\"\nls -la ~/miniconda3/bin/edge-tts 2>/dev/null || echo \"NO edge-tts\"\n~/miniconda3/bin/conda env list 2>/dev/null | grep -i lam || echo \"NO lam_a2e env\"\nls /mnt/DATA/WORK/LAM_Audio2Expression/run_inference.py 2>/dev/null || echo \"NO LAM script\"\necho \"=== server running? ===\"\ncurl -s http://127.0.0.1:8765/health || echo \"server not running\"","description":"Check mtimes, deps, server status"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3516,"cache_read_input_tokens":27480,"output_tokens":768,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":3516,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":768,"cache_read_input_tokens":27480,"cache_creation_input_tokens":3516,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":3516},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011Cc6SyNCADWVJkFc7xG4TR","type":"assistant","uuid":"ec139a78-bc4d-46c3-aaea-84192505aed6","timestamp":"2026-06-16T06:15:50.004Z","userType":"external","entrypoint":"sdk-cli","cwd":"/mnt/DATA/WORK/agent-gui","sessionId":"2c06a32a-c9af-4ee9-ba94-7a56c4acf23d","version":"2.1.178","gitBranch":"HEAD"}
{"parentUuid":"ec139a78-bc4d-46c3-aaea-84192505aed6","isSidechain":false,"promptId":"a200fd55-c7c3-47c9-aa2a-4e7e6a99b60b","type":"user","message":{"role":"user","content":[{"type":"tool_result","content":"This Bash command contains multiple operations. The following parts require approval: tail -5\necho \"=== deps ===\"\nls -la ~/miniconda3/bin/edge-tts || echo \"NO edge-tts\"\n~/miniconda3/bin/conda env list, grep -i lam || echo \"NO lam_a2e env\"\nls /mnt/DATA/WORK/LAM_Audio2Expression/run_inference.py || echo \"NO LAM script\"\necho \"=== server running? ===\"\ncurl -s http://127.0.0.1:8765/health || echo \"server not running\"","is_error":true,"tool_use_id":"toolu_01HK4st7CqEqqNmPRwyyVRMN"}]},"uuid":"d66e6eed-464e-454f-8cbf-5d0bfbf46fc9","timestamp":"2026-06-16T06:15:50.033Z","toolUseResult":"Error: This Bash command contains multiple operations. The following parts require approval: tail -5\necho \"=== deps ===\"\nls -la ~/miniconda3/bin/edge-tts || echo \"NO edge-tts\"\n~/miniconda3/bin/conda env list, grep -i lam || echo \"NO lam_a2e env\"\nls /mnt/DATA/WORK/LAM_Audio2Expression/run_inference.py || echo \"NO LAM script\"\necho \"=== server running? ===\"\ncurl -s http://127.0.0.1:8765/health || echo \"server not running\"","sourceToolAssistantUUID":"ec139a78-bc4d-46c3-aaea-84192505aed6","userType":"external","entrypoint":"sdk-cli","cwd":"/mnt/DATA/WORK/agent-gui","sessionId":"2c06a32a-c9af-4ee9-ba94-7a56c4acf23d","version":"2.1.178","gitBranch":"HEAD"}
{"parentUuid":"d66e6eed-464e-454f-8cbf-5d0bfbf46fc9","isSidechain":false,"attachment":{"type":"task_reminder","content":[],"itemCount":0},"type":"attachment","uuid":"0bea352b-1578-4f9d-a68c-b8089dac2029","timestamp":"2026-06-16T06:15:50.195Z","userType":"external","entrypoint":"sdk-cli","cwd":"/mnt/DATA/WORK/agent-gui","sessionId":"2c06a32a-c9af-4ee9-ba94-7a56c4acf23d","version":"2.1.178","gitBranch":"HEAD"}
{"type":"last-prompt","lastPrompt":"l'avatar ne parle plus ?","leafUuid":"0bea352b-1578-4f9d-a68c-b8089dac2029","sessionId":"2c06a32a-c9af-4ee9-ba94-7a56c4acf23d"}
{"type":"ai-title","aiTitle":"Avatar ne parle plus","sessionId":"2c06a32a-c9af-4ee9-ba94-7a56c4acf23d"}
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{"parentUuid":"dd339201-ca88-4cf4-967b-a643bef3d570","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_01SFWY1nvXWBj8aJ4ovb5nK5","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01VohexbfuY9NiHbpmbzPTRi","name":"Bash","input":{"command":"curl -s --max-time 3 http://127.0.0.1:8765/health","description":"Curl health","dangerouslyDisableSandbox":true},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":554,"cache_read_input_tokens":35008,"output_tokens":273,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":554,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":273,"cache_read_input_tokens":35008,"cache_creation_input_tokens":554,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":554},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011Cc6T2Fuj5NmGaAEPUavJQ","type":"assistant","uuid":"01c6f22b-5bd3-4aa0-88fa-f513b3832a43","timestamp":"2026-06-16T06:16:18.758Z","userType":"external","entrypoint":"sdk-cli","cwd":"/mnt/DATA/WORK/agent-gui","sessionId":"2c06a32a-c9af-4ee9-ba94-7a56c4acf23d","version":"2.1.178","gitBranch":"HEAD"}
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{"parentUuid":"8b32544b-c626-4d1f-8dd4-75744ee363a3","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_01BHAHKNnsPQANfd5WJowFFE","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":341,"cache_read_input_tokens":35562,"output_tokens":1221,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":341,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":1221,"cache_read_input_tokens":35562,"cache_creation_input_tokens":341,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":341},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011Cc6T2YDzjbnQwfd9z9cju","type":"assistant","uuid":"d279dda4-f65e-40f9-9b22-b1dbbd43dd55","timestamp":"2026-06-16T06:16:31.568Z","userType":"external","entrypoint":"sdk-cli","cwd":"/mnt/DATA/WORK/agent-gui","sessionId":"2c06a32a-c9af-4ee9-ba94-7a56c4acf23d","version":"2.1.178","gitBranch":"HEAD"}
{"parentUuid":"d279dda4-f65e-40f9-9b22-b1dbbd43dd55","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_01BHAHKNnsPQANfd5WJowFFE","type":"message","role":"assistant","content":[{"type":"text","text":"edge-tts et le script LAM existent, et un `.wav` a été généré à 08:12 — donc le TTS produit bien de l'audio. Je teste l'étape suivante (blendshapes LAM) qui est la plus fragile, sur le wav existant."}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":341,"cache_read_input_tokens":35562,"output_tokens":1221,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":341,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":1221,"cache_read_input_tokens":35562,"cache_creation_input_tokens":341,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":341},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011Cc6T2YDzjbnQwfd9z9cju","type":"assistant","uuid":"87f20c08-1560-4a42-9ed4-cd1db28866e7","timestamp":"2026-06-16T06:16:33.427Z","userType":"external","entrypoint":"sdk-cli","cwd":"/mnt/DATA/WORK/agent-gui","sessionId":"2c06a32a-c9af-4ee9-ba94-7a56c4acf23d","version":"2.1.178","gitBranch":"HEAD"}
{"parentUuid":"87f20c08-1560-4a42-9ed4-cd1db28866e7","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_01BHAHKNnsPQANfd5WJowFFE","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01TiowH1TzGrnHBTMY8jak64","name":"Bash","input":{"command":"timeout 280 python3 -c \"\nfrom pathlib import Path\nfrom agent_gui.avatar_lam import audio_to_blendshapes\nwav = Path('data/tts/c2ba25240ba9.wav')\nprint('wav exists:', wav.exists(), wav.stat().st_size, 'bytes')\ntry:\n    bs = audio_to_blendshapes(wav)\n    print('OK keys:', list(bs.keys()))\n    print('names:', bs.get('names'))\n    print('num frames:', len(bs.get('frames', [])))\nexcept Exception as e:\n    import traceback; traceback.print_exc()\n\" 2>&1 | tail -40","description":"Test LAM blendshape generation on existing wav","dangerouslyDisableSandbox":true},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":341,"cache_read_input_tokens":35562,"output_tokens":1221,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":341,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":1221,"cache_read_input_tokens":35562,"cache_creation_input_tokens":341,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":341},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011Cc6T2YDzjbnQwfd9z9cju","type":"assistant","uuid":"612eb2a6-9dcc-4cf6-b6bd-71ec0ca1b597","timestamp":"2026-06-16T06:16:36.009Z","userType":"external","entrypoint":"sdk-cli","cwd":"/mnt/DATA/WORK/agent-gui","sessionId":"2c06a32a-c9af-4ee9-ba94-7a56c4acf23d","version":"2.1.178","gitBranch":"HEAD"}
{"parentUuid":"612eb2a6-9dcc-4cf6-b6bd-71ec0ca1b597","isSidechain":false,"promptId":"a200fd55-c7c3-47c9-aa2a-4e7e6a99b60b","type":"user","message":{"role":"user","content":[{"type":"tool_result","content":"This Bash command contains multiple operations. The following part requires approval: timeout 280 python3 -c \"\nfrom pathlib import Path\nfrom agent_gui.avatar_lam import audio_to_blendshapes\nwav = Path('data/tts/c2ba25240ba9.wav')\nprint('wav exists:', wav.exists(), wav.stat().st_size, 'bytes')\ntry:\n    bs = audio_to_blendshapes(wav)\n    print('OK keys:', list(bs.keys()))\n    print('names:', bs.get('names'))\n    print('num frames:', len(bs.get('frames', [])))\nexcept Exception as e:\n    import traceback; traceback.print_exc()\n\" 2>&1","is_error":true,"tool_use_id":"toolu_01TiowH1TzGrnHBTMY8jak64"}]},"uuid":"85dd7e18-4b14-42bd-ba34-d153fdcd5db6","timestamp":"2026-06-16T06:16:36.020Z","toolUseResult":"Error: This Bash command contains multiple operations. The following part requires approval: timeout 280 python3 -c \"\nfrom pathlib import Path\nfrom agent_gui.avatar_lam import audio_to_blendshapes\nwav = Path('data/tts/c2ba25240ba9.wav')\nprint('wav exists:', wav.exists(), wav.stat().st_size, 'bytes')\ntry:\n    bs = audio_to_blendshapes(wav)\n    print('OK keys:', list(bs.keys()))\n    print('names:', bs.get('names'))\n    print('num frames:', len(bs.get('frames', [])))\nexcept Exception as e:\n    import traceback; traceback.print_exc()\n\" 2>&1","sourceToolAssistantUUID":"612eb2a6-9dcc-4cf6-b6bd-71ec0ca1b597","userType":"external","entrypoint":"sdk-cli","cwd":"/mnt/DATA/WORK/agent-gui","sessionId":"2c06a32a-c9af-4ee9-ba94-7a56c4acf23d","version":"2.1.178","gitBranch":"HEAD"}
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{"parentUuid":"4e233a59-be41-4c3c-aa0f-2f4e6bd75c74","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_015ofaEdGa7tkYV5gu76J7EY","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01W1aNLo227uHvUj9XumCHUh","name":"Bash","input":{"command":"timeout 280 python3 -c \"\nfrom pathlib import Path\nfrom agent_gui.avatar_lam import audio_to_blendshapes\nwav = Path('data/tts/c2ba25240ba9.wav')\nprint('wav exists:', wav.exists(), wav.stat().st_size, 'bytes')\ntry:\n    bs = audio_to_blendshapes(wav)\n    print('OK keys:', list(bs.keys()))\n    print('names count:', len(bs.get('names', [])))\n    print('num frames:', len(bs.get('frames', [])))\nexcept Exception as e:\n    import traceback; traceback.print_exc()\n\"","description":"Test LAM blendshapes on existing wav","dangerouslyDisableSandbox":true},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1444,"cache_read_input_tokens":35903,"output_tokens":359,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1444,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":359,"cache_read_input_tokens":35903,"cache_creation_input_tokens":1444,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1444},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011Cc6T3p6WSwPYvetNxfPox","type":"assistant","uuid":"5bee9e2a-797c-4c31-94dc-68467a449ea8","timestamp":"2026-06-16T06:16:41.819Z","userType":"external","entrypoint":"sdk-cli","cwd":"/mnt/DATA/WORK/agent-gui","sessionId":"2c06a32a-c9af-4ee9-ba94-7a56c4acf23d","version":"2.1.178","gitBranch":"HEAD"}
{"parentUuid":"5bee9e2a-797c-4c31-94dc-68467a449ea8","isSidechain":false,"promptId":"a200fd55-c7c3-47c9-aa2a-4e7e6a99b60b","type":"user","message":{"role":"user","content":[{"type":"tool_result","content":"This command requires approval","is_error":true,"tool_use_id":"toolu_01W1aNLo227uHvUj9XumCHUh"}]},"uuid":"dcc0eb87-1a4c-45de-929e-4923c0e85268","timestamp":"2026-06-16T06:16:41.833Z","toolUseResult":"Error: This command requires approval","sourceToolAssistantUUID":"5bee9e2a-797c-4c31-94dc-68467a449ea8","userType":"external","entrypoint":"sdk-cli","cwd":"/mnt/DATA/WORK/agent-gui","sessionId":"2c06a32a-c9af-4ee9-ba94-7a56c4acf23d","version":"2.1.178","gitBranch":"HEAD"}
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{"parentUuid":"4f1074cf-2a8c-47d5-8001-c3e5df4c3aa8","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_01JSVeKsUVuL1dGtXPMyBd3v","type":"message","role":"assistant","content":[{"type":"text","text":"Les commandes lourdes sont refusées par le mode permission. Je continue par lecture du code, qui est plus révélateur. Je vérifie le chargement du module avatar et l'export du renderer."}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":376,"cache_read_input_tokens":37347,"output_tokens":766,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":376,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":766,"cache_read_input_tokens":37347,"cache_creation_input_tokens":376,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":376},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011Cc6T4Fo5paFujd9CxiSdV","type":"assistant","uuid":"b1ebc4a7-2f31-41cb-a449-683d54ac749f","timestamp":"2026-06-16T06:16:55.692Z","userType":"external","entrypoint":"sdk-cli","cwd":"/mnt/DATA/WORK/agent-gui","sessionId":"2c06a32a-c9af-4ee9-ba94-7a56c4acf23d","version":"2.1.178","gitBranch":"HEAD"}
{"parentUuid":"b1ebc4a7-2f31-41cb-a449-683d54ac749f","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_01JSVeKsUVuL1dGtXPMyBd3v","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01TJUFF3Zm9gJz4WbeG2WXuX","name":"Read","input":{"file_path":"/mnt/DATA/WORK/agent-gui/static/index.html"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":376,"cache_read_input_tokens":37347,"output_tokens":766,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":376,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":766,"cache_read_input_tokens":37347,"cache_creation_input_tokens":376,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":376},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011Cc6T4Fo5paFujd9CxiSdV","type":"assistant","uuid":"9580a36d-55ea-47a2-af8b-9ee3eb7b3016","timestamp":"2026-06-16T06:16:56.136Z","userType":"external","entrypoint":"sdk-cli","cwd":"/mnt/DATA/WORK/agent-gui","sessionId":"2c06a32a-c9af-4ee9-ba94-7a56c4acf23d","version":"2.1.178","gitBranch":"HEAD"}
{"parentUuid":"9580a36d-55ea-47a2-af8b-9ee3eb7b3016","isSidechain":false,"promptId":"a200fd55-c7c3-47c9-aa2a-4e7e6a99b60b","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01TJUFF3Zm9gJz4WbeG2WXuX","type":"tool_result","content":"1\t<!doctype html>\n2\t<html lang=\"fr\">\n3\t<head>\n4\t  <meta charset=\"utf-8\" />\n5\t  <meta name=\"viewport\" content=\"width=device-width, initial-scale=1\" />\n6\t  <title>Agent GUI Local</title>\n7\t  <link rel=\"stylesheet\" href=\"/styles.css\" />\n8\t</head>\n9\t<body>\n10\t  <div class=\"scanlines\"></div>\n11\t  <div class=\"app-shell\">\n12\t    <aside class=\"sidebar\">\n13\t      <div class=\"brand\">\n14\t        <div class=\"logo\">AG</div>\n15\t        <div>\n16\t          <div class=\"eyebrow\">Pixel command center</div>\n17\t          <h1>Agent GUI</h1>\n18\t          <p>Surcouche locale universelle</p>\n19\t        </div>\n20\t      </div>\n21\t\n22\t      <label for=\"agentSelect\">Agent actif</label>\n23\t      <select id=\"agentSelect\"></select>\n24\t      <p id=\"agentDescription\" class=\"muted\"></p>\n25\t\n26\t      <div class=\"button-row\">\n27\t        <button id=\"newSessionBtn\">Nouvelle session</button>\n28\t        <button id=\"reloadBtn\" class=\"secondary\">Reload crew</button>\n29\t      </div>\n30\t\n31\t      <section class=\"sessions\">\n32\t        <h2>Sessions</h2>\n33\t        <div id=\"sessionsList\"></div>\n34\t      </section>\n35\t    </aside>\n36\t\n37\t    <main class=\"center-column\">\n38\t      <section class=\"office-card\">\n39\t        <div class=\"card-head\">\n40\t          <div>\n41\t            <div class=\"eyebrow\">Virtual office</div>\n42\t            <h2>Bureau animé</h2>\n43\t          </div>\n44\t          <div class=\"office-meta\">\n45\t            <span id=\"statusPill\" class=\"pill idle\">idle</span>\n46\t            <span id=\"sessionLabel\" class=\"session-tag\">Session</span>\n47\t          </div>\n48\t        </div>\n49\t        <canvas id=\"officeCanvas\" width=\"960\" height=\"540\"></canvas>\n50\t        <div id=\"officeCaption\" class=\"office-caption\">Les agents arrivent au bureau.</div>\n51\t      </section>\n52\t\n53\t      <section class=\"chat-card\">\n54\t        <div class=\"card-head compact\">\n55\t          <div>\n56\t            <div class=\"eyebrow\">Conversation</div>\n57\t            <h2>Chat</h2>\n58\t          </div>\n59\t          <div class=\"muted\">Ctrl+Enter pour envoyer</div>\n60\t        </div>\n61\t\n62\t        <section id=\"chatLog\" class=\"chat-log\"></section>\n63\t\n64\t        <form id=\"chatForm\" class=\"composer\">\n65\t          <textarea id=\"messageInput\" rows=\"3\" placeholder=\"Écris à l'agent...\"></textarea>\n66\t          <button type=\"submit\">Envoyer</button>\n67\t        </form>\n68\t      </section>\n69\t    </main>\n70\t\n71\t    <aside class=\"details-column\">\n72\t      <section class=\"panel avatar-panel\">\n73\t        <div class=\"eyebrow\">Avatar LAM</div>\n74\t        <h2>Barbara</h2>\n75\t        <div id=\"avatarRoot\"></div>\n76\t        <div id=\"avatarStatus\" class=\"muted\">Chargement...</div>\n77\t      </section>\n78\t\n79\t      <section class=\"panel\">\n80\t        <div class=\"eyebrow\">Crew</div>\n81\t        <h2>Agents présents</h2>\n82\t        <div id=\"crewList\" class=\"crew-list\"></div>\n83\t      </section>\n84\t\n85\t      <section class=\"panel\">\n86\t        <div class=\"eyebrow\">Selected</div>\n87\t        <h2 id=\"selectedAgentName\">Agent</h2>\n88\t        <p id=\"selectedAgentState\" class=\"muted\">idle</p>\n89\t        <div id=\"selectedAgentMeta\" class=\"meta-box\"></div>\n90\t      </section>\n91\t\n92\t      <section class=\"panel\">\n93\t        <div class=\"eyebrow\">Timeline</div>\n94\t        <h2>Activity</h2>\n95\t        <div id=\"timeline\" class=\"timeline\"></div>\n96\t      </section>\n97\t    </aside>\n98\t  </div>\n99\t\n100\t  <script src=\"/app.js\"></script>\n101\t  <script type=\"module\" src=\"/avatar.js\"></script>\n102\t</body>\n103\t</html>\n104\t"}]},"uuid":"303f2015-2932-4c45-a60a-975163985489","timestamp":"2026-06-16T06:16:56.143Z","toolUseResult":{"type":"text","file":{"filePath":"/mnt/DATA/WORK/agent-gui/static/index.html","content":"<!doctype html>\n<html lang=\"fr\">\n<head>\n  <meta charset=\"utf-8\" />\n  <meta name=\"viewport\" content=\"width=device-width, initial-scale=1\" />\n  <title>Agent GUI Local</title>\n  <link rel=\"stylesheet\" href=\"/styles.css\" />\n</head>\n<body>\n  <div class=\"scanlines\"></div>\n  <div class=\"app-shell\">\n    <aside class=\"sidebar\">\n      <div class=\"brand\">\n        <div class=\"logo\">AG</div>\n        <div>\n          <div class=\"eyebrow\">Pixel command center</div>\n          <h1>Agent GUI</h1>\n          <p>Surcouche locale universelle</p>\n        </div>\n      </div>\n\n      <label for=\"agentSelect\">Agent actif</label>\n      <select id=\"agentSelect\"></select>\n      <p id=\"agentDescription\" class=\"muted\"></p>\n\n      <div class=\"button-row\">\n        <button id=\"newSessionBtn\">Nouvelle session</button>\n        <button id=\"reloadBtn\" class=\"secondary\">Reload crew</button>\n      </div>\n\n      <section class=\"sessions\">\n        <h2>Sessions</h2>\n        <div id=\"sessionsList\"></div>\n      </section>\n    </aside>\n\n    <main class=\"center-column\">\n      <section class=\"office-card\">\n        <div class=\"card-head\">\n          <div>\n            <div class=\"eyebrow\">Virtual office</div>\n            <h2>Bureau animé</h2>\n          </div>\n          <div class=\"office-meta\">\n            <span id=\"statusPill\" class=\"pill idle\">idle</span>\n            <span id=\"sessionLabel\" class=\"session-tag\">Session</span>\n          </div>\n        </div>\n        <canvas id=\"officeCanvas\" width=\"960\" height=\"540\"></canvas>\n        <div id=\"officeCaption\" class=\"office-caption\">Les agents arrivent au bureau.</div>\n      </section>\n\n      <section class=\"chat-card\">\n        <div class=\"card-head compact\">\n          <div>\n            <div class=\"eyebrow\">Conversation</div>\n            <h2>Chat</h2>\n          </div>\n          <div class=\"muted\">Ctrl+Enter pour envoyer</div>\n        </div>\n\n        <section id=\"chatLog\" class=\"chat-log\"></section>\n\n        <form id=\"chatForm\" class=\"composer\">\n          <textarea id=\"messageInput\" rows=\"3\" placeholder=\"Écris à l'agent...\"></textarea>\n          <button type=\"submit\">Envoyer</button>\n        </form>\n      </section>\n    </main>\n\n    <aside class=\"details-column\">\n      <section class=\"panel avatar-panel\">\n        <div class=\"eyebrow\">Avatar LAM</div>\n        <h2>Barbara</h2>\n        <div id=\"avatarRoot\"></div>\n        <div id=\"avatarStatus\" class=\"muted\">Chargement...</div>\n      </section>\n\n      <section class=\"panel\">\n        <div class=\"eyebrow\">Crew</div>\n        <h2>Agents présents</h2>\n        <div id=\"crewList\" class=\"crew-list\"></div>\n      </section>\n\n      <section class=\"panel\">\n        <div class=\"eyebrow\">Selected</div>\n        <h2 id=\"selectedAgentName\">Agent</h2>\n        <p id=\"selectedAgentState\" class=\"muted\">idle</p>\n        <div id=\"selectedAgentMeta\" class=\"meta-box\"></div>\n      </section>\n\n      <section class=\"panel\">\n        <div class=\"eyebrow\">Timeline</div>\n        <h2>Activity</h2>\n        <div id=\"timeline\" class=\"timeline\"></div>\n      </section>\n    </aside>\n  </div>\n\n  <script src=\"/app.js\"></script>\n  <script type=\"module\" src=\"/avatar.js\"></script>\n</body>\n</html>\n","numLines":104,"startLine":1,"totalLines":104}},"sourceToolAssistantUUID":"9580a36d-55ea-47a2-af8b-9ee3eb7b3016","userType":"external","entrypoint":"sdk-cli","cwd":"/mnt/DATA/WORK/agent-gui","sessionId":"2c06a32a-c9af-4ee9-ba94-7a56c4acf23d","version":"2.1.178","gitBranch":"HEAD"}
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{"parentUuid":"230af63f-025d-4a0b-a2ba-8af1da7f17ce","isSidechain":false,"promptId":"a200fd55-c7c3-47c9-aa2a-4e7e6a99b60b","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01C2se9kWMVzsvAJH9esD4kE","type":"tool_result","content":"<persisted-output>\nOutput too large (96.6KB). Full output saved to: /home/wildlama/.claude/projects/-mnt-DATA-WORK-agent-gui/2c06a32a-c9af-4ee9-ba94-7a56c4acf23d/tool-results/b1pwluxuk.txt\n\nPreview (first 2KB):\n29622:\t\t\t\t// Blender exporter used to export a scalar. 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{"parentUuid":"ebd1ac38-a88a-4062-8951-992561b0449d","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_01BcnNPZzYWzevdKHm7LjFh3","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01EfNr8BWYCQZcuLZ6FMcq1v","name":"Bash","input":{"command":"grep -n \"GaussianSplatRenderer\" static/lib_lam_renderer.js","description":"Find GaussianSplatRenderer references"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":131,"cache_creation_input_tokens":3356,"cache_read_input_tokens":37723,"output_tokens":142,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":3356,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":131,"output_tokens":142,"cache_read_input_tokens":37723,"cache_creation_input_tokens":3356,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":3356},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011Cc6T5LhHoNiYDeYbYZSTD","type":"assistant","uuid":"37602060-a6e8-4f95-9d09-e6fd8199c114","timestamp":"2026-06-16T06:17:00.220Z","userType":"external","entrypoint":"sdk-cli","cwd":"/mnt/DATA/WORK/agent-gui","sessionId":"2c06a32a-c9af-4ee9-ba94-7a56c4acf23d","version":"2.1.178","gitBranch":"HEAD"}
{"parentUuid":"37602060-a6e8-4f95-9d09-e6fd8199c114","isSidechain":false,"promptId":"a200fd55-c7c3-47c9-aa2a-4e7e6a99b60b","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01EfNr8BWYCQZcuLZ6FMcq1v","type":"tool_result","content":"152207:class GaussianSplatRenderer {\n152250:                const renderer = new GaussianSplatRenderer(container, zipData);\n152278:                    threejsCanvas: GaussianSplatRenderer._canvas,\n152329:        GaussianSplatRenderer._canvas.style.visibility = 'visible';\n152330:        GaussianSplatRenderer._canvas.width = width;\n152331:        GaussianSplatRenderer._canvas.height = height;\n152332:        _container.appendChild(GaussianSplatRenderer._canvas);\n152337:        GaussianSplatRenderer._canvas.style.visibility = 'hidden';\n152640:GaussianSplatRenderer._canvas = document.createElement('canvas');\n152642:export { AbortablePromise, DropInViewer, GaussianSplatRenderer, KSplatLoader, Utils as LoaderUtils, LogLevel, OrbitControls, PlayCanvasCompressedPlyParser, PlyLoader, PlyParser, RenderMode, SceneFormat, SceneRevealMode, SplatBuffer, SplatBufferGenerator, SplatLoader, SplatParser, SplatPartitioner, SplatRenderMode, Viewer, WebXRMode };","is_error":false}]},"uuid":"f4009cdf-d748-44d3-ae57-018e9d674a1a","timestamp":"2026-06-16T06:17:00.335Z","toolUseResult":{"stdout":"152207:class GaussianSplatRenderer {\n152250:                const renderer = new GaussianSplatRenderer(container, zipData);\n152278:                    threejsCanvas: GaussianSplatRenderer._canvas,\n152329:        GaussianSplatRenderer._canvas.style.visibility = 'visible';\n152330:        GaussianSplatRenderer._canvas.width = width;\n152331:        GaussianSplatRenderer._canvas.height = height;\n152332:        _container.appendChild(GaussianSplatRenderer._canvas);\n152337:        GaussianSplatRenderer._canvas.style.visibility = 'hidden';\n152640:GaussianSplatRenderer._canvas = document.createElement('canvas');\n152642:export { AbortablePromise, DropInViewer, GaussianSplatRenderer, KSplatLoader, Utils as LoaderUtils, LogLevel, OrbitControls, PlayCanvasCompressedPlyParser, PlyLoader, PlyParser, RenderMode, SceneFormat, SceneRevealMode, SplatBuffer, SplatBufferGenerator, SplatLoader, SplatParser, SplatPartitioner, SplatRenderMode, Viewer, WebXRMode };","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"37602060-a6e8-4f95-9d09-e6fd8199c114","userType":"external","entrypoint":"sdk-cli","cwd":"/mnt/DATA/WORK/agent-gui","sessionId":"2c06a32a-c9af-4ee9-ba94-7a56c4acf23d","version":"2.1.178","gitBranch":"HEAD"}
{"parentUuid":"f4009cdf-d748-44d3-ae57-018e9d674a1a","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_017NyaBTg493xpWJqjCAJJQC","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":705,"cache_read_input_tokens":41079,"output_tokens":251,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":705,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":251,"cache_read_input_tokens":41079,"cache_creation_input_tokens":705,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":705},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011Cc6T5boPTGmWcHPUYwiQJ","type":"assistant","uuid":"aa808c54-96e2-4380-86cb-deceaa3d3053","timestamp":"2026-06-16T06:17:03.757Z","userType":"external","entrypoint":"sdk-cli","cwd":"/mnt/DATA/WORK/agent-gui","sessionId":"2c06a32a-c9af-4ee9-ba94-7a56c4acf23d","version":"2.1.178","gitBranch":"HEAD"}
{"parentUuid":"aa808c54-96e2-4380-86cb-deceaa3d3053","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_017NyaBTg493xpWJqjCAJJQC","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01EtmrsZTUuVDseGjPzJPcW8","name":"Read","input":{"file_path":"/mnt/DATA/WORK/agent-gui/static/lib_lam_renderer.js","offset":152207,"limit":140},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":705,"cache_read_input_tokens":41079,"output_tokens":251,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":705,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":251,"cache_read_input_tokens":41079,"cache_creation_input_tokens":705,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":705},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011Cc6T5boPTGmWcHPUYwiQJ","type":"assistant","uuid":"e2010a5f-54fc-4456-bfb3-2034c5e0091d","timestamp":"2026-06-16T06:17:04.486Z","userType":"external","entrypoint":"sdk-cli","cwd":"/mnt/DATA/WORK/agent-gui","sessionId":"2c06a32a-c9af-4ee9-ba94-7a56c4acf23d","version":"2.1.178","gitBranch":"HEAD"}
{"parentUuid":"e2010a5f-54fc-4456-bfb3-2034c5e0091d","isSidechain":false,"promptId":"a200fd55-c7c3-47c9-aa2a-4e7e6a99b60b","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01EtmrsZTUuVDseGjPzJPcW8","type":"tool_result","content":"152207\tclass GaussianSplatRenderer {\n152208\t    static getInstance(container, assetPath, options) {\n152209\t        var _a, _b, _c, _d, _e, _f;\n152210\t        return __awaiter(this, void 0, void 0, function* () {\n152211\t            if (this.instance != undefined) {\n152212\t                return this.instance;\n152213\t            }\n152214\t            try {\n152215\t                const characterPath = assetPath;\n152216\t                const { pathname } = urlParse(characterPath);\n152217\t                const matches = pathname.match(/\\/([^/]+?)\\.zip/);\n152218\t                const characterName = matches && matches[1];\n152219\t                if (!characterName) {\n152220\t                    throw new Error('character model is not found');\n152221\t                }\n152222\t                NProgress.start();\n152223\t                const characterZipResponse = yield axios.get(characterPath, {\n152224\t                    responseType: 'arraybuffer',\n152225\t                    timeout: 100000,\n152226\t                    onDownloadProgress: (progressEvent) => {\n152227\t                        if (progressEvent.lengthComputable && progressEvent && progressEvent.total) {\n152228\t                            const percent = (progressEvent.loaded / progressEvent.total);\n152229\t                            // console.log(`Downloaded ${percent * 100.0}%`);\n152230\t                            NProgress.set(percent);\n152231\t                            (options === null || options === void 0 ? void 0 : options.downloadProgress) && (options === null || options === void 0 ? void 0 : options.downloadProgress(percent));\n152232\t                        }\n152233\t                    }\n152234\t                });\n152235\t                (options === null || options === void 0 ? void 0 : options.loadProgress) && (options === null || options === void 0 ? void 0 : options.loadProgress(0.1));\n152236\t                NProgress.done();\n152237\t                console.log('download completed:', characterZipResponse.data);\n152238\t                const arrayBuffer = characterZipResponse.data;\n152239\t                const zipData = yield jszip_minExports.loadAsync(arrayBuffer);\n152240\t                let fileName = '';\n152241\t                Object.values(zipData.files).forEach(file => {\n152242\t                    var _a, _b;\n152243\t                    if (file.dir) {\n152244\t                        fileName = (_a = file.name) === null || _a === void 0 ? void 0 : _a.slice(0, ((_b = file.name) === null || _b === void 0 ? void 0 : _b.length) - 1); // 去掉末尾的‘/’\n152245\t                    }\n152246\t                });\n152247\t                if (!fileName) {\n152248\t                    throw new Error('file fold is not found');\n152249\t                }\n152250\t                const renderer = new GaussianSplatRenderer(container, zipData);\n152251\t                const cameraPos = new Vector3();\n152252\t                cameraPos.x = ((_a = charactorConfig.camPos) === null || _a === void 0 ? void 0 : _a.x) || 0;\n152253\t                cameraPos.y = ((_b = charactorConfig.camPos) === null || _b === void 0 ? void 0 : _b.y) || 0;\n152254\t                cameraPos.z = ((_c = charactorConfig.camPos) === null || _c === void 0 ? void 0 : _c.z) || 1;\n152255\t                const cameraRotation = new Vector3();\n152256\t                cameraRotation.x = ((_d = charactorConfig.camRot) === null || _d === void 0 ? void 0 : _d.x) || 0;\n152257\t                cameraRotation.y = ((_e = charactorConfig.camRot) === null || _e === void 0 ? void 0 : _e.y) || 0;\n152258\t                cameraRotation.z = ((_f = charactorConfig.camRot) === null || _f === void 0 ? void 0 : _f.z) || 0;\n152259\t                let backgroundColor = 0xffffff;\n152260\t                if (charactorConfig.backgroundColor) {\n152261\t                    backgroundColor = parseInt(charactorConfig.backgroundColor, 16);\n152262\t                }\n152263\t                if (options && options.backgroundColor && renderer.isHexColorStrict(options.backgroundColor)) {\n152264\t                    backgroundColor = parseInt(options.backgroundColor, 16);\n152265\t                }\n152266\t                let alpha = 0;\n152267\t                if (options && options.alpha) {\n152268\t                    alpha = Math.max(0, Math.min(1, options.alpha));\n152269\t                }\n152270\t                renderer.getChatState = options === null || options === void 0 ? void 0 : options.getChatState;\n152271\t                renderer.getExpressionData = options === null || options === void 0 ? void 0 : options.getExpressionData;\n152272\t                if (charactorConfig.useFlame) {\n152273\t                    renderer.useFlame = (charactorConfig.useFlame == \"false\") ? false : true;\n152274\t                }\n152275\t                console.log(cameraPos, backgroundColor, alpha);\n152276\t                renderer.viewer = new Viewer({\n152277\t                    rootElement: container,\n152278\t                    threejsCanvas: GaussianSplatRenderer._canvas,\n152279\t                    cameraUp: [0, 1, 0],\n152280\t                    initialCameraPosition: [cameraPos.x, cameraPos.y, cameraPos.z],\n152281\t                    initialCameraRotation: [cameraRotation.x, cameraRotation.y, cameraRotation.z],\n152282\t                    // initialCameraLookAt: [0, cameraPos.y, 0],\n152283\t                    sphericalHarmonicsDegree: 0,\n152284\t                    backgroundColor: backgroundColor,\n152285\t                    alpha: alpha,\n152286\t                    gpuAcceleratedSort: true\n152287\t                });\n152288\t                renderer.viewer.useFlame = renderer.useFlame;\n152289\t                if (renderer.viewer.useFlame == true) {\n152290\t                    yield renderer.loadFlameModel(fileName, motionConfig);\n152291\t                }\n152292\t                else {\n152293\t                    yield renderer.loadModel(fileName, animationConfig, motionConfig);\n152294\t                }\n152295\t                (options === null || options === void 0 ? void 0 : options.loadProgress) && (options === null || options === void 0 ? void 0 : options.loadProgress(0.2));\n152296\t                const offsetFileUrl = yield renderer.unpackFileAsBlob(fileName + '/offset.ply');\n152297\t                (options === null || options === void 0 ? void 0 : options.loadProgress) && (options === null || options === void 0 ? void 0 : options.loadProgress(0.3));\n152298\t                renderer.viewer\n152299\t                    .addSplatScene(offsetFileUrl, {\n152300\t                    progressiveLoad: true,\n152301\t                    sharedMemoryForWorkers: false,\n152302\t                    showLoadingUI: false,\n152303\t                    format: SceneFormat.Ply\n152304\t                })\n152305\t                    .then(() => {\n152306\t                    renderer.render();\n152307\t                    (options === null || options === void 0 ? void 0 : options.loadProgress) && (options === null || options === void 0 ? void 0 : options.loadProgress(1));\n152308\t                });\n152309\t                return renderer;\n152310\t            }\n152311\t            catch (error) {\n152312\t                console.error(error);\n152313\t            }\n152314\t        });\n152315\t    }\n152316\t    constructor(_container, zipData) {\n152317\t        this.zipUrls = {\n152318\t            urls: new Map()\n152319\t        };\n152320\t        this.useFlame = false;\n152321\t        this.lastTime = 0;\n152322\t        this.startTime = 0;\n152323\t        this.expressionData = {};\n152324\t        this.chatState = TYVoiceChatState.Idle;\n152325\t        Object.assign(this.zipUrls, {\n152326\t            zip: zipData\n152327\t        });\n152328\t        const { width, height } = _container.getBoundingClientRect();\n152329\t        GaussianSplatRenderer._canvas.style.visibility = 'visible';\n152330\t        GaussianSplatRenderer._canvas.width = width;\n152331\t        GaussianSplatRenderer._canvas.height = height;\n152332\t        _container.appendChild(GaussianSplatRenderer._canvas);\n152333\t        this.clock = new Clock();\n152334\t        this.startTime = performance.now() / 1000.0;\n152335\t    }\n152336\t    dispose() {\n152337\t        GaussianSplatRenderer._canvas.style.visibility = 'hidden';\n152338\t        this.disposeModel();\n152339\t        this.zipUrls.urls.forEach((value) => {\n152340\t            URL.revokeObjectURL(value);\n152341\t        });\n152342\t    }\n152343\t    disposeModel() {\n152344\t        var _a, _b;\n152345\t        if (this.mixer) {\n152346\t            this.mixer.stopAllAction();"}]},"uuid":"959f6b25-b796-4997-bbfd-9c07efcb2a61","timestamp":"2026-06-16T06:17:04.515Z","toolUseResult":{"type":"text","file":{"filePath":"/mnt/DATA/WORK/agent-gui/static/lib_lam_renderer.js","content":"class GaussianSplatRenderer {\n    static getInstance(container, assetPath, options) {\n        var _a, _b, _c, _d, _e, _f;\n        return __awaiter(this, void 0, void 0, function* () {\n            if (this.instance != undefined) {\n                return this.instance;\n            }\n            try {\n                const characterPath = assetPath;\n                const { pathname } = urlParse(characterPath);\n                const matches = pathname.match(/\\/([^/]+?)\\.zip/);\n                const characterName = matches && matches[1];\n                if (!characterName) {\n                    throw new Error('character model is not found');\n                }\n                NProgress.start();\n                const characterZipResponse = yield axios.get(characterPath, {\n                    responseType: 'arraybuffer',\n                    timeout: 100000,\n                    onDownloadProgress: (progressEvent) => {\n                        if (progressEvent.lengthComputable && progressEvent && progressEvent.total) {\n                            const percent = (progressEvent.loaded / progressEvent.total);\n                            // console.log(`Downloaded ${percent * 100.0}%`);\n                            NProgress.set(percent);\n                            (options === null || options === void 0 ? void 0 : options.downloadProgress) && (options === null || options === void 0 ? void 0 : options.downloadProgress(percent));\n                        }\n                    }\n                });\n                (options === null || options === void 0 ? void 0 : options.loadProgress) && (options === null || options === void 0 ? void 0 : options.loadProgress(0.1));\n                NProgress.done();\n                console.log('download completed:', characterZipResponse.data);\n                const arrayBuffer = characterZipResponse.data;\n                const zipData = yield jszip_minExports.loadAsync(arrayBuffer);\n                let fileName = '';\n                Object.values(zipData.files).forEach(file => {\n                    var _a, _b;\n                    if (file.dir) {\n                        fileName = (_a = file.name) === null || _a === void 0 ? void 0 : _a.slice(0, ((_b = file.name) === null || _b === void 0 ? void 0 : _b.length) - 1); // 去掉末尾的‘/’\n                    }\n                });\n                if (!fileName) {\n                    throw new Error('file fold is not found');\n                }\n                const renderer = new GaussianSplatRenderer(container, zipData);\n                const cameraPos = new Vector3();\n                cameraPos.x = ((_a = charactorConfig.camPos) === null || _a === void 0 ? void 0 : _a.x) || 0;\n                cameraPos.y = ((_b = charactorConfig.camPos) === null || _b === void 0 ? void 0 : _b.y) || 0;\n                cameraPos.z = ((_c = charactorConfig.camPos) === null || _c === void 0 ? void 0 : _c.z) || 1;\n                const cameraRotation = new Vector3();\n                cameraRotation.x = ((_d = charactorConfig.camRot) === null || _d === void 0 ? void 0 : _d.x) || 0;\n                cameraRotation.y = ((_e = charactorConfig.camRot) === null || _e === void 0 ? void 0 : _e.y) || 0;\n                cameraRotation.z = ((_f = charactorConfig.camRot) === null || _f === void 0 ? void 0 : _f.z) || 0;\n                let backgroundColor = 0xffffff;\n                if (charactorConfig.backgroundColor) {\n                    backgroundColor = parseInt(charactorConfig.backgroundColor, 16);\n                }\n                if (options && options.backgroundColor && renderer.isHexColorStrict(options.backgroundColor)) {\n                    backgroundColor = parseInt(options.backgroundColor, 16);\n                }\n                let alpha = 0;\n                if (options && options.alpha) {\n                    alpha = Math.max(0, Math.min(1, options.alpha));\n                }\n                renderer.getChatState = options === null || options === void 0 ? void 0 : options.getChatState;\n                renderer.getExpressionData = options === null || options === void 0 ? void 0 : options.getExpressionData;\n                if (charactorConfig.useFlame) {\n                    renderer.useFlame = (charactorConfig.useFlame == \"false\") ? false : true;\n                }\n                console.log(cameraPos, backgroundColor, alpha);\n                renderer.viewer = new Viewer({\n                    rootElement: container,\n                    threejsCanvas: GaussianSplatRenderer._canvas,\n                    cameraUp: [0, 1, 0],\n                    initialCameraPosition: [cameraPos.x, cameraPos.y, cameraPos.z],\n                    initialCameraRotation: [cameraRotation.x, cameraRotation.y, cameraRotation.z],\n                    // initialCameraLookAt: [0, cameraPos.y, 0],\n                    sphericalHarmonicsDegree: 0,\n                    backgroundColor: backgroundColor,\n                    alpha: alpha,\n                    gpuAcceleratedSort: true\n                });\n                renderer.viewer.useFlame = renderer.useFlame;\n                if (renderer.viewer.useFlame == true) {\n                    yield renderer.loadFlameModel(fileName, motionConfig);\n                }\n                else {\n                    yield renderer.loadModel(fileName, animationConfig, motionConfig);\n                }\n                (options === null || options === void 0 ? void 0 : options.loadProgress) && (options === null || options === void 0 ? void 0 : options.loadProgress(0.2));\n                const offsetFileUrl = yield renderer.unpackFileAsBlob(fileName + '/offset.ply');\n                (options === null || options === void 0 ? void 0 : options.loadProgress) && (options === null || options === void 0 ? void 0 : options.loadProgress(0.3));\n                renderer.viewer\n                    .addSplatScene(offsetFileUrl, {\n                    progressiveLoad: true,\n                    sharedMemoryForWorkers: false,\n                    showLoadingUI: false,\n                    format: SceneFormat.Ply\n                })\n                    .then(() => {\n                    renderer.render();\n                    (options === null || options === void 0 ? void 0 : options.loadProgress) && (options === null || options === void 0 ? void 0 : options.loadProgress(1));\n                });\n                return renderer;\n            }\n            catch (error) {\n                console.error(error);\n            }\n        });\n    }\n    constructor(_container, zipData) {\n        this.zipUrls = {\n            urls: new Map()\n        };\n        this.useFlame = false;\n        this.lastTime = 0;\n        this.startTime = 0;\n        this.expressionData = {};\n        this.chatState = TYVoiceChatState.Idle;\n        Object.assign(this.zipUrls, {\n            zip: zipData\n        });\n        const { width, height } = _container.getBoundingClientRect();\n        GaussianSplatRenderer._canvas.style.visibility = 'visible';\n        GaussianSplatRenderer._canvas.width = width;\n        GaussianSplatRenderer._canvas.height = height;\n        _container.appendChild(GaussianSplatRenderer._canvas);\n        this.clock = new Clock();\n        this.startTime = performance.now() / 1000.0;\n    }\n    dispose() {\n        GaussianSplatRenderer._canvas.style.visibility = 'hidden';\n        this.disposeModel();\n        this.zipUrls.urls.forEach((value) => {\n            URL.revokeObjectURL(value);\n        });\n    }\n    disposeModel() {\n        var _a, _b;\n        if (this.mixer) {\n            this.mixer.stopAllAction();","numLines":140,"startLine":152207,"totalLines":152644}},"sourceToolAssistantUUID":"e2010a5f-54fc-4456-bfb3-2034c5e0091d","userType":"external","entrypoint":"sdk-cli","cwd":"/mnt/DATA/WORK/agent-gui","sessionId":"2c06a32a-c9af-4ee9-ba94-7a56c4acf23d","version":"2.1.178","gitBranch":"HEAD"}
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{"parentUuid":"bc51a360-6684-4082-8819-7e2663839b47","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_01825hq5gmANFrjWU6SEk9FQ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_019R2vRixPvZMMjB5RGxZj1A","name":"Bash","input":{"command":"grep -n \"getExpressionData\\|expressionData\\|applyExpression\\|morphTarget\\|influences\" static/lib_lam_renderer.js | head -30","description":"Find expression data consumption"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3307,"cache_read_input_tokens":41784,"output_tokens":465,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":3307,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":465,"cache_read_input_tokens":41784,"cache_creation_input_tokens":3307,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":3307},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011Cc6T5urapXEEYTQag2Fzg","type":"assistant","uuid":"645a0442-4ec6-47df-b130-3f0dfeed4da9","timestamp":"2026-06-16T06:17:12.443Z","userType":"external","entrypoint":"sdk-cli","cwd":"/mnt/DATA/WORK/agent-gui","sessionId":"2c06a32a-c9af-4ee9-ba94-7a56c4acf23d","version":"2.1.178","gitBranch":"HEAD"}
{"parentUuid":"645a0442-4ec6-47df-b130-3f0dfeed4da9","isSidechain":false,"promptId":"a200fd55-c7c3-47c9-aa2a-4e7e6a99b60b","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_019R2vRixPvZMMjB5RGxZj1A","type":"tool_result","content":"11043:\t\tthis.morphTargetsRelative = false;\n11368:\t\t\t\t\tif ( this.morphTargetsRelative ) {\n11439:\t\t\t\t\tif ( this.morphTargetsRelative ) {\n11480:\t\t\t\t\tconst morphTargetsRelative = this.morphTargetsRelative;\n11486:\t\t\t\t\t\tif ( morphTargetsRelative ) {\n11865:\t\tgeometry2.morphTargetsRelative = this.morphTargetsRelative;\n11968:\t\t\tdata.data.morphTargetsRelative = this.morphTargetsRelative;\n12060:\t\tthis.morphTargetsRelative = source.morphTargetsRelative;\n12150:\t\tif ( source.morphTargetInfluences !== undefined ) {\n12152:\t\t\tthis.morphTargetInfluences = source.morphTargetInfluences.slice();\n12156:\t\tif ( source.morphTargetDictionary !== undefined ) {\n12158:\t\t\tthis.morphTargetDictionary = Object.assign( {}, source.morphTargetDictionary );\n12182:\t\t\t\tthis.morphTargetInfluences = [];\n12183:\t\t\t\tthis.morphTargetDictionary = {};\n12189:\t\t\t\t\tthis.morphTargetInfluences.push( 0 );\n12190:\t\t\t\t\tthis.morphTargetDictionary[ name ] = m;\n12205:\t\tconst morphTargetsRelative = geometry.morphTargetsRelative;\n12209:\t\tconst morphInfluences = this.morphTargetInfluences;\n12224:\t\t\t\tif ( morphTargetsRelative ) {\n15807:\t\tconst objectInfluences = object.morphTargetInfluences;\n15811:\t\tconst len = objectInfluences.length + 1; // All influences + the baseInfluenceSum\n15895:\t\tconst objectInfluences = object.morphTargetInfluences;\n15897:\t\tconst len = objectInfluences.length + 1; // morphBaseInfluence + all influences\n15915:\t\tconst morphBaseInfluence = this.geometry.morphTargetsRelative ? 1 : 1 - morphInfluencesSum;\n17893:\t\t\t\tthis.morphTargetInfluences = [];\n17894:\t\t\t\tthis.morphTargetDictionary = {};\n17900:\t\t\t\t\tthis.morphTargetInfluences.push( 0 );\n17901:\t\t\t\t\tthis.morphTargetDictionary[ name ] = m;\n18163:\t\t\t\tthis.morphTargetInfluences = [];\n18164:\t\t\t\tthis.morphTargetDictionary = {};","is_error":false}]},"uuid":"d96f3d49-071d-446d-8da6-e0207a51591c","timestamp":"2026-06-16T06:17:12.529Z","toolUseResult":{"stdout":"11043:\t\tthis.morphTargetsRelative = false;\n11368:\t\t\t\t\tif ( this.morphTargetsRelative ) {\n11439:\t\t\t\t\tif ( this.morphTargetsRelative ) {\n11480:\t\t\t\t\tconst morphTargetsRelative = this.morphTargetsRelative;\n11486:\t\t\t\t\t\tif ( morphTargetsRelative ) {\n11865:\t\tgeometry2.morphTargetsRelative = this.morphTargetsRelative;\n11968:\t\t\tdata.data.morphTargetsRelative = this.morphTargetsRelative;\n12060:\t\tthis.morphTargetsRelative = source.morphTargetsRelative;\n12150:\t\tif ( source.morphTargetInfluences !== undefined ) {\n12152:\t\t\tthis.morphTargetInfluences = source.morphTargetInfluences.slice();\n12156:\t\tif ( source.morphTargetDictionary !== undefined ) {\n12158:\t\t\tthis.morphTargetDictionary = Object.assign( {}, source.morphTargetDictionary );\n12182:\t\t\t\tthis.morphTargetInfluences = [];\n12183:\t\t\t\tthis.morphTargetDictionary = {};\n12189:\t\t\t\t\tthis.morphTargetInfluences.push( 0 );\n12190:\t\t\t\t\tthis.morphTargetDictionary[ name ] = m;\n12205:\t\tconst morphTargetsRelative = geometry.morphTargetsRelative;\n12209:\t\tconst morphInfluences = this.morphTargetInfluences;\n12224:\t\t\t\tif ( morphTargetsRelative ) {\n15807:\t\tconst objectInfluences = object.morphTargetInfluences;\n15811:\t\tconst len = objectInfluences.length + 1; // All influences + the baseInfluenceSum\n15895:\t\tconst objectInfluences = object.morphTargetInfluences;\n15897:\t\tconst len = objectInfluences.length + 1; // morphBaseInfluence + all influences\n15915:\t\tconst morphBaseInfluence = this.geometry.morphTargetsRelative ? 1 : 1 - morphInfluencesSum;\n17893:\t\t\t\tthis.morphTargetInfluences = [];\n17894:\t\t\t\tthis.morphTargetDictionary = {};\n17900:\t\t\t\t\tthis.morphTargetInfluences.push( 0 );\n17901:\t\t\t\t\tthis.morphTargetDictionary[ name ] = m;\n18163:\t\t\t\tthis.morphTargetInfluences = [];\n18164:\t\t\t\tthis.morphTargetDictionary = {};","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"645a0442-4ec6-47df-b130-3f0dfeed4da9","userType":"external","entrypoint":"sdk-cli","cwd":"/mnt/DATA/WORK/agent-gui","sessionId":"2c06a32a-c9af-4ee9-ba94-7a56c4acf23d","version":"2.1.178","gitBranch":"HEAD"}
{"type":"last-prompt","lastPrompt":"l'avatar ne parle plus ?","leafUuid":"d96f3d49-071d-446d-8da6-e0207a51591c","sessionId":"2c06a32a-c9af-4ee9-ba94-7a56c4acf23d"}
{"type":"ai-title","aiTitle":"Avatar ne parle plus","sessionId":"2c06a32a-c9af-4ee9-ba94-7a56c4acf23d"}
{"parentUuid":"d96f3d49-071d-446d-8da6-e0207a51591c","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_016KubWPusEAo6UFCejsrnYD","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01KiWj8GULtX1J1TRMCitBXf","name":"Bash","input":{"command":"grep -n \"getExpressionData\\|this.expressionData\\|\\.expressionData\" static/lib_lam_renderer.js","description":"Find expressionData usage in renderer"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1249,"cache_read_input_tokens":45091,"output_tokens":119,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1249,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":119,"cache_read_input_tokens":45091,"cache_creation_input_tokens":1249,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1249},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011Cc6T6VwSFrfQqKHHFGJKr","type":"assistant","uuid":"05e1c458-b5cf-490e-8909-81bfd5eed700","timestamp":"2026-06-16T06:17:18.158Z","userType":"external","entrypoint":"sdk-cli","cwd":"/mnt/DATA/WORK/agent-gui","sessionId":"2c06a32a-c9af-4ee9-ba94-7a56c4acf23d","version":"2.1.178","gitBranch":"HEAD"}
{"parentUuid":"05e1c458-b5cf-490e-8909-81bfd5eed700","isSidechain":false,"promptId":"a200fd55-c7c3-47c9-aa2a-4e7e6a99b60b","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01KiWj8GULtX1J1TRMCitBXf","type":"tool_result","content":"152271:                renderer.getExpressionData = options === null || options === void 0 ? void 0 : options.getExpressionData;\n152323:        this.expressionData = {};\n152436:                if (this.getExpressionData) {\n152437:                    this.expressionData = this.updateBS(this.getExpressionData());\n152446:                        for (const morphTarget in this.expressionData) {\n152450:                                this.expressionData[morphTarget] =\n152451:                                    this.expressionData[morphTarget] * scale + offset;\n152483:        // const sortedKeys = Object.keys(this.expressionData).sort()\n152484:        // const entries = sortedKeys.map((key) => this.expressionData[key])\n152489:            this.viewer.splatMesh.bsWeight = this.expressionData;\n152500:                            const data = this.expressionData[morphTarget];","is_error":false}]},"uuid":"fceb3f14-62a4-4019-af89-f292964376c4","timestamp":"2026-06-16T06:17:18.254Z","toolUseResult":{"stdout":"152271:                renderer.getExpressionData = options === null || options === void 0 ? void 0 : options.getExpressionData;\n152323:        this.expressionData = {};\n152436:                if (this.getExpressionData) {\n152437:                    this.expressionData = this.updateBS(this.getExpressionData());\n152446:                        for (const morphTarget in this.expressionData) {\n152450:                                this.expressionData[morphTarget] =\n152451:                                    this.expressionData[morphTarget] * scale + offset;\n152483:        // const sortedKeys = Object.keys(this.expressionData).sort()\n152484:        // const entries = sortedKeys.map((key) => this.expressionData[key])\n152489:            this.viewer.splatMesh.bsWeight = this.expressionData;\n152500:                            const data = this.expressionData[morphTarget];","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"05e1c458-b5cf-490e-8909-81bfd5eed700","userType":"external","entrypoint":"sdk-cli","cwd":"/mnt/DATA/WORK/agent-gui","sessionId":"2c06a32a-c9af-4ee9-ba94-7a56c4acf23d","version":"2.1.178","gitBranch":"HEAD"}
{"parentUuid":"fceb3f14-62a4-4019-af89-f292964376c4","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_01EfdBMyFAQphZsqg1xqmqZe","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01QP8nSi5mqii3AngugGZYY3","name":"Read","input":{"file_path":"/mnt/DATA/WORK/agent-gui/static/lib_lam_renderer.js","offset":152430,"limit":90},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":408,"cache_read_input_tokens":46340,"output_tokens":124,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":408,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":124,"cache_read_input_tokens":46340,"cache_creation_input_tokens":408,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":408},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011Cc6T6vfEKPMEghE4owKns","type":"assistant","uuid":"7e2cf645-df7c-4cfb-8328-c5d8225f5c03","timestamp":"2026-06-16T06:17:21.435Z","userType":"external","entrypoint":"sdk-cli","cwd":"/mnt/DATA/WORK/agent-gui","sessionId":"2c06a32a-c9af-4ee9-ba94-7a56c4acf23d","version":"2.1.178","gitBranch":"HEAD"}
{"parentUuid":"7e2cf645-df7c-4cfb-8328-c5d8225f5c03","isSidechain":false,"promptId":"a200fd55-c7c3-47c9-aa2a-4e7e6a99b60b","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01QP8nSi5mqii3AngugGZYY3","type":"tool_result","content":"152430\t                const frameIndex = Math.floor(calcDelta / frameInfoInternal);\n152431\t                this.viewer.frame = frameIndex;\n152432\t                if (this.getChatState) {\n152433\t                    this.chatState = this.getChatState();\n152434\t                    (_a = this.animManager) === null || _a === void 0 ? void 0 : _a.update(this.chatState);\n152435\t                }\n152436\t                if (this.getExpressionData) {\n152437\t                    this.expressionData = this.updateBS(this.getExpressionData());\n152438\t                }\n152439\t                if (this.viewer.useFlame == false) {\n152440\t                    if (!this.mixer || !this.animManager)\n152441\t                        return;\n152442\t                    const mixerUpdateDelta = this.clock.getDelta();\n152443\t                    this.mixer.update(mixerUpdateDelta);\n152444\t                    // apply motion config\n152445\t                    if (this.motioncfg) {\n152446\t                        for (const morphTarget in this.expressionData) {\n152447\t                            const offset = this.motioncfg.offset[morphTarget];\n152448\t                            const scale = this.motioncfg.scale[morphTarget];\n152449\t                            if (offset !== void 0 && scale !== void 0) {\n152450\t                                this.expressionData[morphTarget] =\n152451\t                                    this.expressionData[morphTarget] * scale + offset;\n152452\t                            }\n152453\t                        }\n152454\t                    }\n152455\t                    //set expression\n152456\t                    this.setExpression();\n152457\t                }\n152458\t                // update\n152459\t                this.viewer.update(this.viewer.renderer, this.viewer.camera);\n152460\t                if (this.viewer.shouldRender()) {\n152461\t                    // render\n152462\t                    this.viewer.render();\n152463\t                    this.viewer.consecutiveRenderFrames++;\n152464\t                }\n152465\t                else {\n152466\t                    this.viewer.consecutiveRenderFrames = 0;\n152467\t                }\n152468\t                this.viewer.renderNextFrame = false;\n152469\t            }\n152470\t            this.viewer.selfDrivenModeRunning = true;\n152471\t        }\n152472\t        else {\n152473\t            throw new Error('Cannot start viewer unless it is in self driven mode.');\n152474\t        }\n152475\t    }\n152476\t    isHexColorStrict(value) {\n152477\t        if (typeof value !== 'string')\n152478\t            return false;\n152479\t        const hexColorRegex = /^(#|0x)[0-9A-Fa-f]{6}$/i;\n152480\t        return hexColorRegex.test(value);\n152481\t    }\n152482\t    setExpression() {\n152483\t        // const sortedKeys = Object.keys(this.expressionData).sort()\n152484\t        // const entries = sortedKeys.map((key) => this.expressionData[key])\n152485\t        // if (this.viewer && this.viewer.splatMesh && entries.length > 0) {\n152486\t        //   this.viewer.splatMesh.bsWeight = entries\n152487\t        // }\n152488\t        if (this.viewer && this.viewer.splatMesh) {\n152489\t            this.viewer.splatMesh.bsWeight = this.expressionData;\n152490\t        }\n152491\t        if (this.model) {\n152492\t            this.model.traverse((object) => {\n152493\t                if (object.isMesh || object.isSkinnedMesh) {\n152494\t                    const morphAttributes = object.geometry.morphAttributes;\n152495\t                    const hasMorphTargets = Object.keys(morphAttributes).length > 0;\n152496\t                    if (hasMorphTargets === true) {\n152497\t                        const morphTargetDictionary = object.morphTargetDictionary;\n152498\t                        for (const morphTarget in morphTargetDictionary) {\n152499\t                            const target = morphTargetDictionary[morphTarget];\n152500\t                            const data = this.expressionData[morphTarget];\n152501\t                            if (data !== void 0) {\n152502\t                                object.morphTargetInfluences[target] = Math.max(0.0, Math.min(1.0, data));\n152503\t                            }\n152504\t                        }\n152505\t                    }\n152506\t                }\n152507\t            });\n152508\t        }\n152509\t    }\n152510\t    loadFlameModel(pathName, motionConfig) {\n152511\t        return __awaiter(this, void 0, void 0, function* () {\n152512\t            const [skinModel, lbs_weight_80k, flame_params, indexes, bone_tree] = yield Promise.all([\n152513\t                this.unpackAndLoadGlb(pathName + '/skin.glb'),\n152514\t                this.unpackAndLoadJson(pathName + '/lbs_weight_20k.json'),\n152515\t                this.unpackAndLoadJson(pathName + '/flame_params.json'),\n152516\t                this.unpackAndLoadJson(pathName + '/vertex_order.json'),\n152517\t                this.unpackAndLoadJson(pathName + '/bone_tree.json') //  bone tree\n152518\t            ]);\n152519\t            if (!this.viewer) {"}]},"uuid":"e7923040-e106-45fd-943d-5eea3e1c7bdd","timestamp":"2026-06-16T06:17:21.465Z","toolUseResult":{"type":"text","file":{"filePath":"/mnt/DATA/WORK/agent-gui/static/lib_lam_renderer.js","content":"                const frameIndex = Math.floor(calcDelta / frameInfoInternal);\n                this.viewer.frame = frameIndex;\n                if (this.getChatState) {\n                    this.chatState = this.getChatState();\n                    (_a = this.animManager) === null || _a === void 0 ? void 0 : _a.update(this.chatState);\n                }\n                if (this.getExpressionData) {\n                    this.expressionData = this.updateBS(this.getExpressionData());\n                }\n                if (this.viewer.useFlame == false) {\n                    if (!this.mixer || !this.animManager)\n                        return;\n                    const mixerUpdateDelta = this.clock.getDelta();\n                    this.mixer.update(mixerUpdateDelta);\n                    // apply motion config\n                    if (this.motioncfg) {\n                        for (const morphTarget in this.expressionData) {\n                            const offset = this.motioncfg.offset[morphTarget];\n                            const scale = this.motioncfg.scale[morphTarget];\n                            if (offset !== void 0 && scale !== void 0) {\n                                this.expressionData[morphTarget] =\n                                    this.expressionData[morphTarget] * scale + offset;\n                            }\n                        }\n                    }\n                    //set expression\n                    this.setExpression();\n                }\n                // update\n                this.viewer.update(this.viewer.renderer, this.viewer.camera);\n                if (this.viewer.shouldRender()) {\n                    // render\n                    this.viewer.render();\n                    this.viewer.consecutiveRenderFrames++;\n                }\n                else {\n                    this.viewer.consecutiveRenderFrames = 0;\n                }\n                this.viewer.renderNextFrame = false;\n            }\n            this.viewer.selfDrivenModeRunning = true;\n        }\n        else {\n            throw new Error('Cannot start viewer unless it is in self driven mode.');\n        }\n    }\n    isHexColorStrict(value) {\n        if (typeof value !== 'string')\n            return false;\n        const hexColorRegex = /^(#|0x)[0-9A-Fa-f]{6}$/i;\n        return hexColorRegex.test(value);\n    }\n    setExpression() {\n        // const sortedKeys = Object.keys(this.expressionData).sort()\n        // const entries = sortedKeys.map((key) => this.expressionData[key])\n        // if (this.viewer && this.viewer.splatMesh && entries.length > 0) {\n        //   this.viewer.splatMesh.bsWeight = entries\n        // }\n        if (this.viewer && this.viewer.splatMesh) {\n            this.viewer.splatMesh.bsWeight = this.expressionData;\n        }\n        if (this.model) {\n            this.model.traverse((object) => {\n                if (object.isMesh || object.isSkinnedMesh) {\n                    const morphAttributes = object.geometry.morphAttributes;\n                    const hasMorphTargets = Object.keys(morphAttributes).length > 0;\n                    if (hasMorphTargets === true) {\n                        const morphTargetDictionary = object.morphTargetDictionary;\n                        for (const morphTarget in morphTargetDictionary) {\n                            const target = morphTargetDictionary[morphTarget];\n                            const data = this.expressionData[morphTarget];\n                            if (data !== void 0) {\n                                object.morphTargetInfluences[target] = Math.max(0.0, Math.min(1.0, data));\n                            }\n                        }\n                    }\n                }\n            });\n        }\n    }\n    loadFlameModel(pathName, motionConfig) {\n        return __awaiter(this, void 0, void 0, function* () {\n            const [skinModel, lbs_weight_80k, flame_params, indexes, bone_tree] = yield Promise.all([\n                this.unpackAndLoadGlb(pathName + '/skin.glb'),\n                this.unpackAndLoadJson(pathName + '/lbs_weight_20k.json'),\n                this.unpackAndLoadJson(pathName + '/flame_params.json'),\n                this.unpackAndLoadJson(pathName + '/vertex_order.json'),\n                this.unpackAndLoadJson(pathName + '/bone_tree.json') //  bone tree\n            ]);\n            if (!this.viewer) {","numLines":90,"startLine":152430,"totalLines":152644}},"sourceToolAssistantUUID":"7e2cf645-df7c-4cfb-8328-c5d8225f5c03","userType":"external","entrypoint":"sdk-cli","cwd":"/mnt/DATA/WORK/agent-gui","sessionId":"2c06a32a-c9af-4ee9-ba94-7a56c4acf23d","version":"2.1.178","gitBranch":"HEAD"}
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{"parentUuid":"8a305b76-e363-4b18-a83b-f965c13b2c26","isSidechain":false,"promptId":"a200fd55-c7c3-47c9-aa2a-4e7e6a99b60b","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Yaq3zZb6KPdgBt1NDrq2mm","type":"tool_result","content":"61755:                vec4 bsWeight = uintBitsToFloat(texture(boneTexture, samplerUV));\n61756:                float weight = bsWeight.r;\n61758:                    weight = bsWeight.g;\n61761:                    weight = bsWeight.b;\n61764:                    weight = bsWeight.a;\n63788:        this.bsWeight = [];\n64602:        if (!this.bsWeight)\n64620:        for (const key in this.bsWeight) {\n64621:            if (this.bsWeight.hasOwnProperty(key)) {\n64622:                const value = this.bsWeight[key];\n64628:        // for (let c = 0; c < this.bsWeight.length; c++) {\n64630:        //     boneMatrixTextureDataInt[c + this.bonesNum * 16] = uintEncodedFloat(this.bsWeight[c]);\n64651:        if (!this.bsWeight || !this.morphTargetDictionary)\n64661:        for (const key in this.bsWeight) {\n64662:            if (this.bsWeight.hasOwnProperty(key)) {\n64663:                const value = this.bsWeight[key];\n64669:        // for (let c = 0; c < this.bsWeight.length; c++) {\n64670:        //     this.splatDataTextures.baseData['boneMatrix'][c + this.bonesNum * 16] = uintEncodedFloat(this.bsWeight[c]);\n139527:    this.splatMesh.bsWeight = this.flame_params['expr'][this.frame];\n145662:    updateBS(actionData) {\n152359:    updateBS(actionData) {\n152437:                    this.expressionData = this.updateBS(this.getExpressionData());\n152486:        //   this.viewer.splatMesh.bsWeight = entries\n152489:            this.viewer.splatMesh.bsWeight = this.expressionData;","is_error":false}]},"uuid":"3b936146-f719-473c-bda9-a68b546955e8","timestamp":"2026-06-16T06:17:25.953Z","toolUseResult":{"stdout":"61755:                vec4 bsWeight = uintBitsToFloat(texture(boneTexture, samplerUV));\n61756:                float weight = bsWeight.r;\n61758:                    weight = bsWeight.g;\n61761:                    weight = bsWeight.b;\n61764:                    weight = bsWeight.a;\n63788:        this.bsWeight = [];\n64602:        if (!this.bsWeight)\n64620:        for (const key in this.bsWeight) {\n64621:            if (this.bsWeight.hasOwnProperty(key)) {\n64622:                const value = this.bsWeight[key];\n64628:        // for (let c = 0; c < this.bsWeight.length; c++) {\n64630:        //     boneMatrixTextureDataInt[c + this.bonesNum * 16] = uintEncodedFloat(this.bsWeight[c]);\n64651:        if (!this.bsWeight || !this.morphTargetDictionary)\n64661:        for (const key in this.bsWeight) {\n64662:            if (this.bsWeight.hasOwnProperty(key)) {\n64663:                const value = this.bsWeight[key];\n64669:        // for (let c = 0; c < this.bsWeight.length; c++) {\n64670:        //     this.splatDataTextures.baseData['boneMatrix'][c + this.bonesNum * 16] = uintEncodedFloat(this.bsWeight[c]);\n139527:    this.splatMesh.bsWeight = this.flame_params['expr'][this.frame];\n145662:    updateBS(actionData) {\n152359:    updateBS(actionData) {\n152437:                    this.expressionData = this.updateBS(this.getExpressionData());\n152486:        //   this.viewer.splatMesh.bsWeight = entries\n152489:            this.viewer.splatMesh.bsWeight = this.expressionData;","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"8a305b76-e363-4b18-a83b-f965c13b2c26","userType":"external","entrypoint":"sdk-cli","cwd":"/mnt/DATA/WORK/agent-gui","sessionId":"2c06a32a-c9af-4ee9-ba94-7a56c4acf23d","version":"2.1.178","gitBranch":"HEAD"}
{"parentUuid":"3b936146-f719-473c-bda9-a68b546955e8","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_014DcjFRKrY91FNGryXtc6CQ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_019iueaR2uB8ygx4t5Wpynzu","name":"Read","input":{"file_path":"/mnt/DATA/WORK/agent-gui/static/lib_lam_renderer.js","offset":152359,"limit":71},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":834,"cache_read_input_tokens":48601,"output_tokens":124,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":834,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":124,"cache_read_input_tokens":48601,"cache_creation_input_tokens":834,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":834},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011Cc6T7VnnmBFDcrViuiFB3","type":"assistant","uuid":"91ac28c5-e169-496f-ae3b-3978d271a9f1","timestamp":"2026-06-16T06:17:28.850Z","userType":"external","entrypoint":"sdk-cli","cwd":"/mnt/DATA/WORK/agent-gui","sessionId":"2c06a32a-c9af-4ee9-ba94-7a56c4acf23d","version":"2.1.178","gitBranch":"HEAD"}
{"parentUuid":"91ac28c5-e169-496f-ae3b-3978d271a9f1","isSidechain":false,"promptId":"a200fd55-c7c3-47c9-aa2a-4e7e6a99b60b","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_019iueaR2uB8ygx4t5Wpynzu","type":"tool_result","content":"152359\t    updateBS(actionData) {\n152360\t        let influence = {\n152361\t            browDownLeft: 0.0,\n152362\t            browDownRight: 0.0,\n152363\t            browInnerUp: 0.0,\n152364\t            browOuterUpLeft: 0.0,\n152365\t            browOuterUpRight: 0.0,\n152366\t            mouthCheekPuff: 0.0,\n152367\t            cheekSquintLeft: 0.0,\n152368\t            cheekSquintRight: 0.0,\n152369\t            eyeBlinkLeft: 0.0,\n152370\t            eyeBlinkRight: 0.0,\n152371\t            eyeLookDownLeft: 0.0,\n152372\t            eyeLookDownRight: 0.0,\n152373\t            eyeLookInLeft: 0.0,\n152374\t            eyeLookInRight: 0.0,\n152375\t            eyeLookOutLeft: 0.0,\n152376\t            eyeLookOutRight: 0.0,\n152377\t            eyeLookUpLeft: 0.0,\n152378\t            eyeLookUpRight: 0.0,\n152379\t            eyeSquintLeft: 0.0,\n152380\t            eyeSquintRight: 0.0,\n152381\t            eyeWideLeft: 0.0,\n152382\t            eyeWideRight: 0.0,\n152383\t            jawForward: 0.0,\n152384\t            jawLeft: 0.0,\n152385\t            jawOpen: 0.0,\n152386\t            jawRight: 0.0,\n152387\t            mouthClose: 0.0,\n152388\t            mouthDimpleLeft: 0.0,\n152389\t            mouthDimpleRight: 0.0,\n152390\t            mouthFrownLeft: 0.0,\n152391\t            mouthFrownRight: 0.0,\n152392\t            mouthFunnel: 0.0,\n152393\t            mouthLeft: 0.0,\n152394\t            mouthLowerDownLeft: 0.0,\n152395\t            mouthLowerDownRight: 0.0,\n152396\t            mouthPressLeft: 0.0,\n152397\t            mouthPressRight: 0.0,\n152398\t            mouthPucker: 0.0,\n152399\t            mouthRight: 0.0,\n152400\t            mouthRollLower: 0.0,\n152401\t            mouthRollUpper: 0.0,\n152402\t            mouthShrugLower: 0.0,\n152403\t            mouthShrugUpper: 0.0,\n152404\t            mouthSmileLeft: 0.0,\n152405\t            mouthSmileRight: 0.0,\n152406\t            mouthStretchLeft: 0.0,\n152407\t            mouthStretchRight: 0.0,\n152408\t            mouthUpperUpLeft: 0.0,\n152409\t            mouthUpperUpRight: 0.0,\n152410\t            noseSneerLeft: 0.0,\n152411\t            noseSneerRight: 0.0,\n152412\t            tongueOut: 0.0\n152413\t        };\n152414\t        if (actionData != null) {\n152415\t            influence = actionData;\n152416\t        }\n152417\t        return influence;\n152418\t    }\n152419\t    render() {\n152420\t        var _a;\n152421\t        if (this.viewer && this.viewer.selfDrivenMode) {\n152422\t            if (this.viewer.webXRMode) {\n152423\t                this.viewer.renderer.setAnimationLoop(this.viewer.selfDrivenUpdateFunc);\n152424\t            }\n152425\t            else {\n152426\t                this.viewer.requestFrameId = requestAnimationFrame(() => this.render());\n152427\t                const frameInfoInternal = 1.0 / 30.0;\n152428\t                const currentTime = performance.now() / 1000;\n152429\t                const calcDelta = (currentTime - this.startTime) % (this.viewer.totalFrames * frameInfoInternal);"}]},"uuid":"413a0617-076d-4449-8fc2-158c72c7882e","timestamp":"2026-06-16T06:17:28.869Z","toolUseResult":{"type":"text","file":{"filePath":"/mnt/DATA/WORK/agent-gui/static/lib_lam_renderer.js","content":"    updateBS(actionData) {\n        let influence = {\n            browDownLeft: 0.0,\n            browDownRight: 0.0,\n            browInnerUp: 0.0,\n            browOuterUpLeft: 0.0,\n            browOuterUpRight: 0.0,\n            mouthCheekPuff: 0.0,\n            cheekSquintLeft: 0.0,\n            cheekSquintRight: 0.0,\n            eyeBlinkLeft: 0.0,\n            eyeBlinkRight: 0.0,\n            eyeLookDownLeft: 0.0,\n            eyeLookDownRight: 0.0,\n            eyeLookInLeft: 0.0,\n            eyeLookInRight: 0.0,\n            eyeLookOutLeft: 0.0,\n            eyeLookOutRight: 0.0,\n            eyeLookUpLeft: 0.0,\n            eyeLookUpRight: 0.0,\n            eyeSquintLeft: 0.0,\n            eyeSquintRight: 0.0,\n            eyeWideLeft: 0.0,\n            eyeWideRight: 0.0,\n            jawForward: 0.0,\n            jawLeft: 0.0,\n            jawOpen: 0.0,\n            jawRight: 0.0,\n            mouthClose: 0.0,\n            mouthDimpleLeft: 0.0,\n            mouthDimpleRight: 0.0,\n            mouthFrownLeft: 0.0,\n            mouthFrownRight: 0.0,\n            mouthFunnel: 0.0,\n            mouthLeft: 0.0,\n            mouthLowerDownLeft: 0.0,\n            mouthLowerDownRight: 0.0,\n            mouthPressLeft: 0.0,\n            mouthPressRight: 0.0,\n            mouthPucker: 0.0,\n            mouthRight: 0.0,\n            mouthRollLower: 0.0,\n            mouthRollUpper: 0.0,\n            mouthShrugLower: 0.0,\n            mouthShrugUpper: 0.0,\n            mouthSmileLeft: 0.0,\n            mouthSmileRight: 0.0,\n            mouthStretchLeft: 0.0,\n            mouthStretchRight: 0.0,\n            mouthUpperUpLeft: 0.0,\n            mouthUpperUpRight: 0.0,\n            noseSneerLeft: 0.0,\n            noseSneerRight: 0.0,\n            tongueOut: 0.0\n        };\n        if (actionData != null) {\n            influence = actionData;\n        }\n        return influence;\n    }\n    render() {\n        var _a;\n        if (this.viewer && this.viewer.selfDrivenMode) {\n            if (this.viewer.webXRMode) {\n                this.viewer.renderer.setAnimationLoop(this.viewer.selfDrivenUpdateFunc);\n            }\n            else {\n                this.viewer.requestFrameId = requestAnimationFrame(() => this.render());\n                const frameInfoInternal = 1.0 / 30.0;\n                const currentTime = performance.now() / 1000;\n                const calcDelta = (currentTime - this.startTime) % (this.viewer.totalFrames * frameInfoInternal);","numLines":71,"startLine":152359,"totalLines":152644}},"sourceToolAssistantUUID":"91ac28c5-e169-496f-ae3b-3978d271a9f1","userType":"external","entrypoint":"sdk-cli","cwd":"/mnt/DATA/WORK/agent-gui","sessionId":"2c06a32a-c9af-4ee9-ba94-7a56c4acf23d","version":"2.1.178","gitBranch":"HEAD"}
{"parentUuid":"413a0617-076d-4449-8fc2-158c72c7882e","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_01PQy2YEyRYPnPi2ncPi2Lr9","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1439,"cache_read_input_tokens":49435,"output_tokens":1602,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1439,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":1602,"cache_read_input_tokens":49435,"cache_creation_input_tokens":1439,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1439},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011Cc6T7i6DRQ3NX8RFd8Xr1","type":"assistant","uuid":"662eeb37-7243-4321-9031-e9aee5a5b5e1","timestamp":"2026-06-16T06:17:50.244Z","userType":"external","entrypoint":"sdk-cli","cwd":"/mnt/DATA/WORK/agent-gui","sessionId":"2c06a32a-c9af-4ee9-ba94-7a56c4acf23d","version":"2.1.178","gitBranch":"HEAD"}
{"parentUuid":"662eeb37-7243-4321-9031-e9aee5a5b5e1","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_01PQy2YEyRYPnPi2ncPi2Lr9","type":"message","role":"assistant","content":[{"type":"text","text":"J'ai maintenant une image claire de l'architecture. Un point décisif: dans `app.js`, l'audio n'est joué **que si** les blendshapes LAM réussissent (`status === 'ready'`). Si l'étape LAM échoue, l'avatar reste **totalement muet** alors même que le `.wav` est généré (ce qui est le cas — fichier à 08:12). Je teste l'étape LAM pour confirmer."}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1439,"cache_read_input_tokens":49435,"output_tokens":1602,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1439,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":1602,"cache_read_input_tokens":49435,"cache_creation_input_tokens":1439,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1439},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011Cc6T7i6DRQ3NX8RFd8Xr1","type":"assistant","uuid":"185b0b40-16e4-42d7-9bd0-31896df7373e","timestamp":"2026-06-16T06:17:52.652Z","userType":"external","entrypoint":"sdk-cli","cwd":"/mnt/DATA/WORK/agent-gui","sessionId":"2c06a32a-c9af-4ee9-ba94-7a56c4acf23d","version":"2.1.178","gitBranch":"HEAD"}
{"parentUuid":"185b0b40-16e4-42d7-9bd0-31896df7373e","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_01PQy2YEyRYPnPi2ncPi2Lr9","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01PYcs2FvwjKH5fXP16NewPh","name":"Bash","input":{"command":"timeout 290 python3 -c \"from pathlib import Path; from agent_gui.avatar_lam import audio_to_blendshapes; bs=audio_to_blendshapes(Path('data/tts/c2ba25240ba9.wav')); print('OK', type(bs), 'names=', len(bs.get('names',[])), 'frames=', len(bs.get('frames',[])))\"","description":"Run LAM blendshapes on existing wav","dangerouslyDisableSandbox":true},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1439,"cache_read_input_tokens":49435,"output_tokens":1602,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1439,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":1602,"cache_read_input_tokens":49435,"cache_creation_input_tokens":1439,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1439},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011Cc6T7i6DRQ3NX8RFd8Xr1","type":"assistant","uuid":"c386c62c-2c6c-4673-9d08-bb83bc312143","timestamp":"2026-06-16T06:17:54.922Z","userType":"external","entrypoint":"sdk-cli","cwd":"/mnt/DATA/WORK/agent-gui","sessionId":"2c06a32a-c9af-4ee9-ba94-7a56c4acf23d","version":"2.1.178","gitBranch":"HEAD"}
{"parentUuid":"c386c62c-2c6c-4673-9d08-bb83bc312143","isSidechain":false,"promptId":"a200fd55-c7c3-47c9-aa2a-4e7e6a99b60b","type":"user","message":{"role":"user","content":[{"type":"tool_result","content":"This command requires approval","is_error":true,"tool_use_id":"toolu_01PYcs2FvwjKH5fXP16NewPh"}]},"uuid":"a7854925-38f2-4d48-b712-46697863c7cf","timestamp":"2026-06-16T06:17:54.928Z","toolUseResult":"Error: This command requires approval","sourceToolAssistantUUID":"c386c62c-2c6c-4673-9d08-bb83bc312143","userType":"external","entrypoint":"sdk-cli","cwd":"/mnt/DATA/WORK/agent-gui","sessionId":"2c06a32a-c9af-4ee9-ba94-7a56c4acf23d","version":"2.1.178","gitBranch":"HEAD"}
{"type":"last-prompt","lastPrompt":"l'avatar ne parle plus ?","leafUuid":"a7854925-38f2-4d48-b712-46697863c7cf","sessionId":"2c06a32a-c9af-4ee9-ba94-7a56c4acf23d"}
{"type":"ai-title","aiTitle":"Avatar ne parle plus","sessionId":"2c06a32a-c9af-4ee9-ba94-7a56c4acf23d"}
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{"parentUuid":"aed72300-8c77-40df-ae24-0b99548cb1b5","isSidechain":false,"message":{"model":"claude-opus-4-8","id":"msg_011b4EWLbSVd8doqPkEEchfJ","type":"message","role":"assistant","content":[{"type":"text","text":"Je ne peux pas exécuter les commandes de test (le mode permission les refuse — chaque `python3`/`curl`/`conda` est bloqué). Mais la lecture du code suffit à poser un diagnostic solide.\n\n## Ce que j'ai trouvé\n\nCe matin (08:00–08:12) l'avatar a été migré vers le **renderer 3D LAM** (`avatar.js` réécrit à 08:04, `lib_lam_renderer.js` ajouté à 08:02). La chaîne de parole est maintenant :\n\n```\nchat → edge-tts (.wav) → LAM audio_to_blendshapes → /api/avatar/anim\n                                                          ↓\n                          frontend joue l'audio SEULEMENT si status === 'ready'\n```\n\n**Le point critique** est dans `static/app.js:362` :\n\n```js\nif (data.status === 'ready' && window.avatarController) {\n  await window.avatarController.speakWithAnimation(sessionId); // ← le SON est ici\n  window.avatarController.startAnimation(data.bsData);\n}\nif (data.status === 'error') { ... setStatus('Erreur TTS/A2E'); } // ← aucun son\n```\n\nL'audio et l'animation sont **couplés** : si l'étape LAM (`avatar_lam.py` → `conda run -n lam_a2e python run_inference.py`) échoue ou dépasse les 300 s de timeout, le statut passe à `error` et **rien n'est joué**, même si le `.wav` existe.\n\nEt justement : il y a bien un `data/tts/c2ba25240ba9.wav` (282 Ko, généré à 08:12). Donc **edge-tts + ffmpeg fonctionnent**, mais l'avatar est resté muet → c'est l'étape **LAM blendshapes** qui bloque (ou alors le navigateur bloque l'`AudioContext` faute de geste utilisateur direct au moment du poll).\n\n## Deux causes probables, par ordre de vraisemblance\n\n1. **LAM échoue** (env `lam_a2e`, modèle, GPU, ou format de sortie de `run_inference.py` qui doit produire les 52 noms ARKit attendus par `updateBS`). → couplage = silence total.\n2. **Autoplay navigateur** : `playAudio()` crée l'`AudioContext` dans le callback de polling (`setInterval`), hors du geste utilisateur → Chrome/Firefox peut suspendre le contexte. → animation OK mais aucun son.\n\n## Pour trancher, il me faut une de ces infos\n\n- **soit** tu m'autorises à lancer le test LAM (`python3 -c \"...audio_to_blendshapes...\"` sur le wav existant), ou un `curl /api/avatar/anim` ;\n- **soit** tu me dis ce que tu vois : la console navigateur (F12) affiche-t-elle « Erreur TTS/A2E », ou les logs du serveur montrent-ils une exception dans le thread `_run` ?\n\nVeux-tu plutôt que j'applique tout de suite le correctif robuste — **découpler l'audio des blendshapes** (jouer le son dès que le `.wav` est prêt, même si LAM échoue, et débloquer l'`AudioContext` sur le clic « Envoyer ») ? Ça résoudrait le « ne parle plus » dans les deux scénarios."}],"stop_reason":"end_turn","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1619,"cache_read_input_tokens":50874,"output_tokens":1788,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1619,"ephemeral_5m_input_tokens":0},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":1788,"cache_read_input_tokens":50874,"cache_creation_input_tokens":1619,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1619},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011Cc6T9dWSTYWc8D2BK6qtX","type":"assistant","uuid":"a722b5f2-5a27-4577-a33f-791bba1aae30","timestamp":"2026-06-16T06:18:22.999Z","userType":"external","entrypoint":"sdk-cli","cwd":"/mnt/DATA/WORK/agent-gui","sessionId":"2c06a32a-c9af-4ee9-ba94-7a56c4acf23d","version":"2.1.178","gitBranch":"HEAD"}
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