id stringlengths 19 32 | source stringclasses 18
values | kind stringclasses 3
values | messages listlengths 2 44 | meta unknown |
|---|---|---|---|---|
lordx64_agentic_fable5_4164 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\n| tail -2 && wc -c assets/teich.svg && head -c 600 assets/teich.svg\", \"description\": \"Copy logo from repo root, sync deps\", \"timeout\": 180000}\nTOOL RESULT: ~ teich==0... | {} |
lordx64_agentic_fable5_4165 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\nreview_console_logs for errors.\nASSISTANT (tool call) mcp__Claude_Preview__preview_screenshot input={\"serverId\": \"ba456321-2520-43d4-8180-05f69d5a0984\"}\nTOOL RESULT: pre... | {} |
lordx64_agentic_fable5_4166 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\n: preview_screenshot timed out after 30s. The preview window may be stuck (modal dialog, navigation hang, or unresponsive renderer). Check preview_console_logs for errors.\nAS... | {} |
lordx64_agentic_fable5_4167 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\nector('link[rel=\\\"icon\\\"]'); if (l) l.remove(); return 'removed'; })()\"}\nTOOL RESULT: \"removed\"\nASSISTANT (tool call) mcp__Claude_Preview__preview_screenshot input={\... | {} |
lordx64_agentic_fable5_4168 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\ntudio\\static\\style.css has been updated successfully. (file state is current in your context — no need to Read it back)\nASSISTANT (message): Now the rewritten app.js with t... | {} |
lordx64_agentic_fable5_4169 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\ngithub\\\\teich\\\\src\\\\teich\\\\studio\\\\static\\\\index.html\", \"content\": \"<!DOCTYPE html>\\n<html lang=\\\"en\\\">\\n<head>\\n <meta charset=\\\"utf-8\\\" />\\n <m... | {} |
lordx64_agentic_fable5_4170 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\n-strong: #3a3a42;\\n\\n --text: #f0f0f3;\\n --text-dim: #a6a6b0;\\n --text-faint: #6c6c77;\\n\\n --green: #3ecf8e;\\n --red: #ef5a5f;\\n --yellow: #e7bb4a;\\n\\n --radi... | {} |
lordx64_agentic_fable5_4171 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\npage and asset responses\"}\nTOOL RESULT: 200 0.002611s\r\n200 850917 bytes 0.006481s\r\n200 0.003364s\nASSISTANT (tool call) mcp__Claude_Preview__preview_eval input={\"server... | {} |
lordx64_agentic_fable5_4172 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\nd5308fa-8b76-4e05-a289-d074850f1ae4\"}\nTOOL RESULT: [1] RootWebArea: \"Teich Studio\"\n [4] generic\n [5] complementary\n [7] image: \"Teich\"\n [10] StaticText... | {} |
lordx64_agentic_fable5_4173 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\n \"Teich\"\n [10] StaticText: \"Teich \"\n [11] InlineTextBox: \"Teich \"\n [12] StaticText: \"Studio\"\n [13] InlineTextBox: \"Studio\"\n [15] St... | {} |
lordx64_agentic_fable5_4174 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\n \"C:\\Users\\aranr\\AppData\\Local\\\"\n [18] InlineTextBox: \"…\"\n [19] navigation\n [20] button: \"Setup\"\n [21] image\n [23] StaticT... | {} |
lordx64_agentic_fable5_4175 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\next: \"Prompts\"\n [29] InlineTextBox: \"Prompts\"\n [31] StaticText: \"1\"\n [32] InlineTextBox: \"1\"\n [33] button: \"Generate\"\n ... | {} |
lordx64_agentic_fable5_4176 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\nle_path\": \"C:\\\\Users\\\\aranr\\\\Documents\\\\github\\\\teich\\\\.claude\\\\tmp\\\\ws_term_test.py\", \"content\": \"\\\"\\\"\\\"Manual end-to-end test: native pi terminal... | {} |
lordx64_agentic_fable5_4177 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\nata = json.dumps(body).encode() if body is not None else None\\n req = urllib.request.Request(BASE + path, data=data, method=method)\\n if data:\\n req.add_header... | {} |
lordx64_agentic_fable5_4178 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\n(\\\"Content-Type\\\", \\\"application/json\\\")\\n with urllib.request.urlopen(req, timeout=30) as resp:\\n return json.loads(resp.read())\\n\\n\\nasync def main():... | {} |
lordx64_agentic_fable5_4179 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\nAppData\\Local\\Temp\\studio-demo\"\n [16] InlineTextBox: \"C:\\Users\\aranr\\AppData\\Local\\Temp\\studio-demo\"\n [17] InlineTextBox: \"C:\\Users\\aranr\\AppDa... | {} |
lordx64_agentic_fable5_4180 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\n\"\\\"\\\"\\nimport asyncio\\nimport json\\nimport re\\nimport sys\\nimport urllib.request\\n\\nimport websockets\\n\\nBASE = \\\"http://127.0.0.1:8426\\\"\\nANSI = re.compile... | {} |
lordx64_agentic_fable5_4181 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\nad8dfe0f-4460-46e5-a368-6a5de26f706e starting\r\n------ terminal output (cleaned, last 2500 chars) ------\r\nTraceback (most recent call last):\r\n File \"C:\\Users\\aranr\\D... | {} |
lordx64_agentic_fable5_4182 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\nuv\\python\\cpython-3.13.3-windows-x86_64-none\\Lib\\asyncio\\runners.py\", line 195, in run\r\n return runner.run(main)\r\n ~~~~~~~~~~^^^^^^\r\n File \"C:\\User... | {} |
lordx64_agentic_fable5_4183 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\n984 stopped\nASSISTANT (tool call) mcp__Claude_Preview__preview_start input={\"name\": \"teich-studio\"}\nTOOL RESULT: {\n \"serverId\": \"6d5308fa-8b76-4e05-a289-d074850f1ae... | {} |
lordx64_agentic_fable5_4184 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\n, in run\r\n return self._loop.run_until_complete(task)\r\n ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^\r\n File \"C:\\Users\\aranr\\AppData\\Roaming\\uv\\python\\cpytho... | {} |
lordx64_agentic_fable5_4185 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\n\\\"\\\", \\\"\\\".join(output))\\n print(\\\"------ terminal output (cleaned, last 2500 chars) ------\\\")\\n print(text[-2500:])\", \"new_string\": \" text = ANSI.s... | {} |
lordx64_agentic_fable5_4186 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\n.100000023841858}\"\nASSISTANT (tool call) mcp__Claude_Preview__preview_eval input={\"serverId\": \"6d5308fa-8b76-4e05-a289-d074850f1ae4\", \"expression\": \"(() => {\\n cons... | {} |
lordx64_agentic_fable5_4187 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\nmay be stuck (modal dialog, navigation hang, or unresponsive renderer). Check preview_console_logs for errors.\nASSISTANT (tool call) mcp__Claude_Preview__preview_snapshot inp... | {} |
lordx64_agentic_fable5_4188 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\nd())\\n\\n\\nasync def main():\\n session = api(\\\"POST\\\", \\\"/api/sessions\\\", {\\\"provider\\\": \\\"pi\\\"})\\n sid = session[\\\"id\\\"]\\n prin …[truncated]... | {} |
lordx64_agentic_fable5_4189 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\nt json,sys; d=json.load(sys.stdin); print('provider:',d['provider']); [print(e['kind'],':',e['text'][:80].encode('ascii','replace').decode()) for e in d['display'][:8]]\\\"\",... | {} |
lordx64_agentic_fable5_4190 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\nus-text').textContent, termCols: state.term && state.term.cols})\"}\nTOOL RESULT: \"{\\\"status\\\":\\\"live\\\",\\\"conn\\\":\\\"134×24 · connected\\\",\\\"statusText\\\":\\\... | {} |
lordx64_agentic_fable5_4191 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\n-2500:])\", \"new_string\": \" text = ANSI.sub(\\\"\\\", \\\"\\\".join(output))\\n text = text.encode(\\\"ascii\\\", errors=\\\"replace\\\").decode(\\\"ascii\\\")\\n ... | {} |
lordx64_agentic_fable5_4192 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\nports the native session file into your dataset exactly like a batch trace; **Discard** tears everything down. I verified this live end-to-end with your configured key: launch... | {} |
lordx64_agentic_fable5_4193 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\n call) Bash input={\"command\": \"sleep 20\", \"description\": \"Wait for container + TUI to start\", \"timeout\": 30000}\nTOOL RESULT: (Bash completed with no output)\nASSIST... | {} |
lordx64_agentic_fable5_4194 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\n ? Working... …[truncated]\nASSISTANT (tool call) Bas... | {} |
lordx64_agentic_fable5_4195 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\nainer and launching claude-code …\". When discarding the trace, for a moment I saw the claude-code terminal UI. just very briefly. The issue is the same for the other interact... | {} |
lordx64_agentic_fable5_4196 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\npact TUI output until the process exits.\\n chunk = process.stdout.read1(4096)\\n if not chunk:\\n break\"}\nTOOL RESULT: <tool_use_error>... | {} |
lordx64_agentic_fable5_4197 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\n exactly why you saw the UI flash on discard). It needs `read1()`, which returns whatever is available.\nASSISTANT (tool call) Edit input={\"replace_all\": false, \"file_path\... | {} |
lordx64_agentic_fable5_4198 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\ns = self._process\n155\t assert process is not None and process.stdout is not None\n156\t decoder = codecs.getincrementaldecoder(\"utf-8\")(errors=\"replace\")\n... | {} |
lordx64_agentic_fable5_4199 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\n~~~~~~~~~~~~~~~~~~~~^^^^^^\r\n File \"C:\\Users\\aranr\\AppData\\Roaming\\uv\\python\\cpython-3.13.3-windows-x86_64-none\\Lib\\asyncio\\base_events.py\", line 719, in run_unt... | {} |
lordx64_agentic_fable5_4200 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\nup)\nASSISTANT (message): Container cleanup verified. Final test pass and cleanup:\nASSISTANT (tool call) Bash input={\"command\": \"rm .claude/tmp/ws_term_test.py; uv run pyt... | {} |
lordx64_agentic_fable5_4201 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\n \"desktop\"}\nTOOL RESULT: Viewport reset to native size (desktop).\nASSISTANT (tool call) mcp__Claude_Preview__preview_screenshot input={\"serverId\": \"6d5308fa-8b76-4e05-a... | {} |
lordx64_agentic_fable5_4202 | lordx64_agentic_fable5 | code | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\n_UP\nASSISTANT (tool call) Bash input={\"command\": \"uv run python .claude/tmp/ws_claude_test.py 2>&1 | head -40\", \"description\": \"Run claude-code WS timing test\", \"tim... | {} |
lordx64_agentic_fable5_4203 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\nreturns as soon as *any* bytes are available, unlike\n161\t # BufferedReader.read(n) which blocks until n bytes or EOF.\n162\t chunk = os.read(fd... | {} |
lordx64_agentic_fable5_4204 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\n-code\\\"})\\n sid = session[\\\"id\\\"]\\n print(\\\"session:\\\", sid, flush=True)\\n t0 = time.monotonic()\\n uri = f\\\"ws://127.0.0.1:8 …[truncated]\nTOOL RES... | {} |
lordx64_agentic_fable5_4205 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\n4ffb74fb5\\nexport MSYS_NO_PATHCONV=1\\ntimeout 25 docker exec -i -e TERM=xterm-256color --user codex -w /workspace $C script -qfec \\\"stty cols 120 rows 30 2>/dev/null; exec... | {} |
lordx64_agentic_fable5_4206 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\nbM-^VM-^QM-bM-^VM-^QM-bM-^VM-^QM-bM-^VM-^QM-bM-^VM-^QM-bM-^VM-^Q^[[43GM-bM-^VM-^HM-bM-^VM-^HM-bM-^VM-^HM-bM-^VM-^SM-bM-^VM-^Q^M^M\n^[[4GM-bM-^VM-^QM-bM-^VM-^QM-bM-^VM-^QM-bM-^... | {} |
lordx64_agentic_fable5_4207 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\ntil-linux `script` inside the container). The browser attaches over a WebSocket into an xterm.js terminal with window chrome, so you get the identical TUI you'd see running it... | {} |
lordx64_agentic_fable5_4208 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\n\"SID=$(curl -s -X POST http://127.0.0.1:8426/api/sessions -H \\\"Content-Type: application/json\\\" -d '{\\\"provider\\\":\\\"claude-code\\\"}' | python -c \\\"import json,sy... | {} |
lordx64_agentic_fable5_4209 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\nessions/$(cat /tmp/sid.txt)/discard >/dev/null; docker ps --format \\\"{{.Names}}\\\" | grep teich-studio | xargs -r docker rm -f; echo cleaned\", \"description\": \"Clean up ... | {} |
lordx64_agentic_fable5_4210 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\n return json.loads(resp.read())\\n\\n\\nasync def main():\\n session = api(\\\"POST\\\", \\\"/api/sessions\\\", {\\\"provider\\\": \\\"claude-code\\\"})\\n sid = sess... | {} |
lordx64_agentic_fable5_4211 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\n069 /tmp/claude_out.bin\n^[7^[[r^[8^[[?25h^[[?25l^[[?2004h^[[?1004h^[[?2031h^[[38;5;174mWelcome^[[9Gto^[[12GClaude^[[19GCode^[[24G^[[38;5;246mv2.1.173^[[39m^M^M\n................ | {} |
lordx64_agentic_fable5_4212 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\nWelcome\\x1b[9Gto\\x1b[12GClaude\\x1b[19GCode\\x1b[24G\\x1b[38;5;246mv2.1.173\\x1b['\r\n[ 1.3s] 8 chars '\\x1b[>0q\\x1b[c'\r\n[ 6.3s] (no data for 5s)\r\n[ 11.3s] (... | {} |
lordx64_agentic_fable5_4213 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\ne_Preview__preview_start input={\"name\": \"teich-studio\"}\nTOOL RESULT: {\n \"serverId\": \"198775ee-daff-4b8e-8c04-004c9c2aa59b\",\n \"port\": 8426,\n \"name\": \"teich-... | {} |
lordx64_agentic_fable5_4214 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\n (no data for 5s)\r\n[ 61.4s] (no data for 5s)\r\n[ 66.4s] (no data for 5s)\r\n[ 71.4s] (no data for 5s)\r\n[ 76.4s] (no data for 5s)\r\ntotal chars: 2315\r\ndiscarded\nAS... | {} |
lordx64_agentic_fable5_4215 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\n0px 500px at -10% -20%, rgba(242, 92, 26, 0.07), transparent 60%),\n54- radial-gradient(700px 500px at 110% 120%, rgba(242, 92, 26, 0.04), transparent 60%);\n55: pointer-e... | {} |
lordx64_agentic_fable5_4216 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\nused\": false\n}\nServer started successfully on port 8426.\nASSISTANT (tool call) Bash input={\"command\": \"sleep 3 && uv run python .claude/tmp/ws_claude_test.py 2>&1 | hea... | {} |
lordx64_agentic_fable5_4217 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\n/tmp/ws_claude_test.py 2>&1 | head -25\", \"description\": \"Re-run claude-code WS timing test on fresh server\", \"timeout\": 150000}\nTOOL RESULT: session: 9a49cf65-ed02-425... | {} |
lordx64_agentic_fable5_4218 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\nwidth: 0; }\n110\t.brand-name { font-weight: 700; font-size: 15.5px; white-space: nowrap; }\nASSISTANT (tool call) Edit input={\"replace_all\": false, \"file_path\": \"C:\\\\U... | {} |
lordx64_agentic_fable5_4219 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\ndth: 0; }\n98-\n99:.brand-logo {\n100- width: 38px; height: 38px;\n101- flex-shrink: 0;\n--\n263- transition: all var(--speed);\n264-}\n265:.btn:hover { border-color: var(-... | {} |
lordx64_agentic_fable5_4220 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\n.btn:hover { border-color: var(--border-strong); transform: translateY(-1px); }\n266:.btn:active { transform: translateY(0); }\n267-.btn.primary {\n268- background: linear-gr... | {} |
lordx64_agentic_fable5_4221 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\nsers\\aranr\\Documents\\github\\teich\\src\\teich\\studio\\static\\style.css has been updated successfully. (file state is current in your context — no need to Read it back)\n... | {} |
lordx64_agentic_fable5_4222 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\nt={\"serverId\": \"198775ee-daff-4b8e-8c04-004c9c2aa59b\", \"expression\": \"(() => {\\n state.termSocket.send(JSON.stringify({type:'stdin', data:'Reply with exactly TEICH_OK... | {} |
lordx64_agentic_fable5_4223 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\no need to Read it back)\nASSISTANT (tool call) Grep input={\"pattern\": \"save-note\", \"path\": \"C:\\\\Users\\\\aranr\\\\Documents\\\\github\\\\teich\\\\src\\\\teich\\\\stud... | {} |
lordx64_agentic_fable5_4224 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\npx at 110% 120%, rgba(242, 92, 26, 0.04), transparent 60%);\n55: pointer-events: none;\n56- z-index: 0;\n57-}\n--\n97-.brand { display: flex; gap: 11px; align-items: center;... | {} |
lordx64_agentic_fable5_4225 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "USER: Make the training scripts for self distillation fine-tuning. I will be using traces like the one found on huggingface armand0e/qwen3.7-max-pi-traces as the base data. but we need to do on-poli... | {} |
lordx64_agentic_fable5_4226 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\n, \"new_string\": \".brand-logo {\\n width: 38px; height: 38px;\\n flex-shrink: 0;\\n object-fit: contain;\\n filter: drop-shadow(0 2px 8px rgba(242, 92, 26, 0.3));\\n}\"}... | {} |
lordx64_agentic_fable5_4227 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\nent.querySelector('#btn-start-session').click();\\n return 'launching claude-code';\\n})()\"}\nTOOL RESULT: \"launching claude-code\"\nASSISTANT (tool call) Bash input={\"com... | {} |
lordx64_agentic_fable5_4228 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "USER: Make the training scripts for self distillation fine-tuning. I will be using traces like the one found on huggingface armand0e/qwen3.7-max-pi-traces as the base data. but we need to do on-poli... | {} |
lordx64_agentic_fable5_4229 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "USER: Make the training scripts for self distillation fine-tuning. I will be using traces like the one found on huggingface armand0e/qwen3.7-max-pi-traces as the base data. but we need to do on-poli... | {} |
lordx64_agentic_fable5_4230 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "USER: Make the training scripts for self distillation fine-tuning. I will be using traces like the one found on huggingface armand0e/qwen3.7-max-pi-traces as the base data. but we need to do on-poli... | {} |
lordx64_agentic_fable5_4231 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\n linear-gradient(transparent, var(--bg) 40%);\\n}\\n.sticky-actions > * { pointer-events: auto; }\\n.save-note { color: var(--green); font-size: 12.5px; }\"}\nTOOL RESULT: The... | {} |
lordx64_agentic_fable5_4232 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\n: \"typed\"\nASSISTANT (tool call) Bash input={\"command\": \"sleep 30\", \"description\": \"Wait for claude response\", \"timeout\": 40000}\nTOOL RESULT: <tool_use_error>Bloc... | {} |
lordx64_agentic_fable5_4233 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\nISTANT (tool call) mcp__Claude_Preview__preview_screenshot input={\"serverId\": \"198775ee-daff-4b8e-8c04-004c9c2aa59b\"}\nTOOL RESULT: \nASSISTANT (tool call) mcp__Claude_Pre... | {} |
lordx64_agentic_fable5_4234 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "USER: Make the training scripts for self distillation fine-tuning. I will be using traces like the one found on huggingface armand0e/qwen3.7-max-pi-traces as the base data. but we need to do on-poli... | {} |
lordx64_agentic_fable5_4235 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "USER: Make the training scripts for self distillation fine-tuning. I will be using traces like the one found on huggingface armand0e/qwen3.7-max-pi-traces as the base data. but we need to do on-poli... | {} |
lordx64_agentic_fable5_4236 | lordx64_agentic_fable5 | code | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\nefined\nASSISTANT (tool call) mcp__Claude_Preview__preview_eval input={\"serverId\": \"198775ee-daff-4b8e-8c04-004c9c2aa59b\", \"expression\": \"(() => {\\n // switch session... | {} |
lordx64_agentic_fable5_4237 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\n armand0e/qwen3.7-max-pi-traces as the base data. but we need to do on-policy SDFT instead of destructive SFT\nASSISTANT (message): I'll first look at the project directory an... | {} |
lordx64_agentic_fable5_4238 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "USER: Make the training scripts for self distillation fine-tuning. I will be using traces like the one found on huggingface armand0e/qwen3.7-max-pi-traces as the base data. but we need to do on-poli... | {} |
lordx64_agentic_fable5_4239 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "USER: Make the training scripts for self distillation fine-tuning. I will be using traces like the one found on huggingface armand0e/qwen3.7-max-pi-traces as the base data. but we need to do on-poli... | {} |
lordx64_agentic_fable5_4240 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "USER: Make the training scripts for self distillation fine-tuning. I will be using traces like the one found on huggingface armand0e/qwen3.7-max-pi-traces as the base data. but we need to do on-poli... | {} |
lordx64_agentic_fable5_4241 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "USER: Make the training scripts for self distillation fine-tuning. I will be using traces like the one found on huggingface armand0e/qwen3.7-max-pi-traces as the base data. but we need to do on-poli... | {} |
lordx64_agentic_fable5_4242 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\nft\\\\sample_data\\\\sample.jsonl; (Get-Content D:\\\\physics\\\\sdft\\\\sample_data\\\\sample.jsonl | Measure-Object -Line).Lines\", \"description\": \"Download smallest trac... | {} |
lordx64_agentic_fable5_4243 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\nools depending on the project.\\n\\nGuidelines:\\n- Use bash for file operations like ls, rg, find\\n- Use read to exam …[truncated]\nASSISTANT (tool call) Write input={\"file... | {} |
lordx64_agentic_fable5_4244 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\nts/armand0e/qwen3.7-max-pi-traces/tree/main'; $files | Sort-Object size | Select-Object -First 5 path, size | Format-Table -AutoSize\", \"description\": \"List dataset files v... | {} |
lordx64_agentic_fable5_4245 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\nle Organization\n\n**JSONL Files:** The dataset contains 46 files with timestamp-based naming conventions, such as:\n- `2026-05-22T00-38-18-409Z_019e4d1e-6629-7380-a70b-d758f0... | {} |
lordx64_agentic_fable5_4246 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\nelect-Object Name, Length, Mode\", \"description\": \"List files in working directory\"}\nASSISTANT (tool call) ToolSearch input={\"query\": \"select:WebFetch,WebSearch\", \"m... | {} |
lordx64_agentic_fable5_4247 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\n\"reverse\\\",\\n beta: float = 0.5,\\n temperature: float = 1.0,\\n chunk_size: int = 128,\\n) -> torch.Tensor:\\n \\\"\\\"\\\"Per-position divergence between two... | {} |
lordx64_agentic_fable5_4248 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\ne\\\": \\\"object\\\",\\n \\\"properties\\\": {\\n \\\"path\\\": {\\\"type\\\": \\\"string\\\", \\\"description\\\": \\\"Path to the file to read\\\"}\\n ... | {} |
lordx64_agentic_fable5_4249 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\n\"# On-policy Self-Distillation Fine-Tuning (SDFT)\\n#\\n# Student: pi_theta(. | context) -- trainable\\n# Teacher: pi_0(. | context + expert turn in-con... | {} |
lordx64_agentic_fable5_4250 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\nfunction\\\",\\n \\\"function\\\": {\\n \\\"name\\\": \\\"read\\\",\\n \\\"description\\\": \\\"Read file contents\\\",\\n \\\"parameters\\\": {\\n \\... | {} |
lordx64_agentic_fable5_4251 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\nr the optional off-policy mixture (lambda < 1).\\n\\\"\\\"\\\"\\n\\nfrom __future__ import annotations\\n\\nimport json\\n\\nREFERENCE_TEMPLATE = (\\n \\\"<expert_reference... | {} |
lordx64_agentic_fable5_4252 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\nte is current in your context — no need to Read it back)\nASSISTANT (tool call) Write input={\"file_path\": \"D:\\\\physics\\\\sdft\\\\requirements.txt\", \"content\": \"torch... | {} |
lordx64_agentic_fable5_4253 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\n expert target tokens\\nthrough the model's chat template.\\n\\nUsage:\\n python scripts/inspect_data.py --examples data/examples.jsonl --index 0\\n python scripts/inspe... | {} |
lordx64_agentic_fable5_4254 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\n1\\npeft>=0.14\\nhuggingface_hub>=0.26\\npyyaml>=6.0\\ntqdm>=4.66\\n\\n# optional\\n# wandb\\n# flash-attn # pip install flash-attn --no-build-isolation, then set\\n# ... | {} |
lordx64_agentic_fable5_4255 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\nibution sideways and causing catastrophic forgetting (\\\"destructive SFT\\\").\\nClassic on-policy distillation (GKD / on-policy KD) fixes this by scoring the\\nstudent's *ow... | {} |
lordx64_agentic_fable5_4256 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\nl\\\", ...}``; toolCall blocks carry\\n``id``, ``name`` and ``arguments`` (a JSON object).\\n\\nNormalized output messages:\\n\\n {\\\"role\\\": \\\"system\\\" | \\\"user\\... | {} |
lordx64_agentic_fable5_4257 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\nset and flatten it into per-turn examples.\\n\\nEach assistant turn in each trace becomes one training example:\\n\\n {\\\"trace\\\": <file stem>, \\\"turn\\\": <message in... | {} |
lordx64_agentic_fable5_4258 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\nude example JSON snippets verbatim if present.\"}\nTOOL RESULT: # Qwen3.7 Max Pi Traces Dataset Overview\n\n## Dataset Purpose\nThis dataset contains agent trace files generat... | {} |
lordx64_agentic_fable5_4259 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\n \\\"function\\\",\\n \\\"function\\\": {\\n \\\"name\\\": \\\"bash\\\",\\n \\\"description\\\": \\\"Execute a bash command (ls, grep, find, etc.)\\\",\\n \\... | {} |
lordx64_agentic_fable5_4260 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\n======================\r\n\r\n--- system ---\r\nYou are an expert coding assistant operating inside pi, a coding agent harness. You help users by reading files, executing comm... | {} |
lordx64_agentic_fable5_4261 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\ng on th\r\n\r\n--- user ---\r\nCan you build me a dependency map for a software system?\r\n\r\n--- assistant ---\r\nLet me check what's in the workspace first to understand th... | {} |
lordx64_agentic_fable5_4262 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\nent_prompt={len(p)} teacher_prompt={len(tp)} target={len(tgt)}\\\")\\n\\nex = json.loads(lines[0])\\np, tgt = expert_target_ids(tok, ex[\\\"context\\\"], ex[\\\"expert\\\"], t... | {} |
lordx64_agentic_fable5_4263 | lordx64_agentic_fable5 | agentic | [
{
"role": "system",
"content": "You are a helpful AI assistant."
},
{
"role": "user",
"content": "…[earlier truncated]…\nll math OK:\\\", d1.shape, float(d1.mean()))\\n'@\", \"description\": \"Unit-test tokenwise divergence math\"}\nTOOL RESULT: <string>:19: UserWarning: Converting a tensor with... | {} |
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