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{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_01JVWW9ARDmCBaUJbcBgBiA4","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"No AGENTS.md in the agent-worker project root. Let me check if there's one anywhere in the agent-worker repo and look at the source files changed.","signature":"EtACClsIDBgCKkBsDZKvfvTeCoMHY3smPBB86I7mEjU85Lt9qxSAkKkbSv8rurR3PmPncYs3oVQ+6Ug7RUWC5ZXPIBPtBje2wyJNMhFjbGF1ZGUtc29ubmV0LTQtNjgAEgy+NR2ArBZ6Mp79mboaDAdjMmVpuVMHKKeP6CIw06Is8cSuvJpCfkUxFS0USlbEQrV69RMsh7fSvF7JUYLaXVS0x9E1DFfsnp/DlLbwKqIB5U3naLRyzgAz9Iwt7g/IvM6EaZLgcFsvwLMvcRedy5XGxDKClKcZd+QW7FdE7wTNuoAf1rSMXf+bciMtrdJ3OwXUAu5hpUqaSamLLCSY3i4WGSV4cQNfhWjzJyUNUf5NCZWnDHkSi762njJ+4xYCdNQf9E5qM4p2bDfKGxHjIBqvtSniZm+QGtiyYPhjqvJWTu5qnPTBLh+InJJkmcAFCOcxGAE="}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":287,"cache_read_input_tokens":22859,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":287},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"746b3b62-3959-469d-a223-e941392dda72","uuid":"11cef1be-44b1-4d9d-bc9b-57e95c8b8df7"}
{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_01JVWW9ARDmCBaUJbcBgBiA4","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01HE7X3x7x7pEWMnVoyXLaqd","name":"Bash","input":{"command":"find /home/agent/ai-agents-sde/.claude/worktrees/agent-worker/issue-496-agents-md/ -name \"AGENTS.md\" 2>/dev/null; cat /home/agent/ai-agents-sde/.claude/worktrees/agent-worker/issue-496-agents-md/CLAUDE.md 2>/dev/null | head -50","description":"Find AGENTS.md and read CLAUDE.md"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":287,"cache_read_input_tokens":22859,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":287},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"746b3b62-3959-469d-a223-e941392dda72","uuid":"3d5da93a-8c46-4cd9-aee8-ff26ca3370e6"}
{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01HE7X3x7x7pEWMnVoyXLaqd","type":"tool_result","content":"# agent-worker\n\nAI invocation worker — a decoupled process runner for agent-core.\n\n## Purpose\n\nagent-worker consumes invocation jobs from a Redis queue, spawns AI processes (currently Claude CLI) as detached child processes with output redirected to disk, and pushes results back to Redis when the process exits. It owns **zero** business logic — no signal parsing, no pipeline advancement, no hooks. It is a thin, provider-agnostic AI launcher.\n\n## Architecture\n\n```\nagent-core ──▶ Redis (phase-invoke) ──▶ agent-worker ──▶ AI process (detached, stdout → file)\n                                                              │\nagent-core ◀── Redis (phase-result) ◀── agent-worker ◀───────┘ (on exit)\n```\n\n### Key design properties\n\n- **AI processes are detached**: spawned with `{ detached: true }`, stdout/stderr redirected to files, then `unref()`'d. They survive worker restarts.\n- **Worker is stateless between jobs**: claim a job, spawn the process, move on. No in-memory state to lose.\n- **Orphan recovery on boot**: `OrphanScannerService` scans for PID files where the process is dead but no result was pushed. Re-pushes the result to Redis.\n- **Provider-agnostic**: the job payload specifies the provider (`claude`, etc). The worker builds the appropriate command.\n\n## Project structure\n\n```\nsrc/\n├── main.ts                              # NestJS bootstrap\n├── app.module.ts                        # Root module: config + BullMQ + health + invocation\n├── config/\n│   └── app-config.module.ts             # Joi-validated env config (PORT, REDIS_HOST, REDIS_PORT)\n├── health/\n│   ├── health.module.ts\n│   └── health.controller.ts             # GET /health\n└── invocation/\n    ├── invocation.module.ts             # Registers BullMQ queues (phase-invoke, phase-result)\n    ├── invocation.processor.ts          # BullMQ processor: spawns AI processes, pushes results\n    └── orphan-scanner.service.ts        # Startup scan for orphaned processes\n```\n\n## Development\n\n```bash\nnpm install          # install dependencies\nnpm run build        # compile TypeScript\nnpm run start:dev    # start with watch mode\nnpm run lint         # lint + fix\nnpm test             # run tests\n```","is_error":false}]},"parent_tool_use_id":null,"session_id":"746b3b62-3959-469d-a223-e941392dda72","uuid":"6b933af9-ce62-4536-8504-8f1970908ddd","tool_use_result":{"stdout":"# agent-worker\n\nAI invocation worker — a decoupled process runner for agent-core.\n\n## Purpose\n\nagent-worker consumes invocation jobs from a Redis queue, spawns AI processes (currently Claude CLI) as detached child processes with output redirected to disk, and pushes results back to Redis when the process exits. It owns **zero** business logic — no signal parsing, no pipeline advancement, no hooks. It is a thin, provider-agnostic AI launcher.\n\n## Architecture\n\n```\nagent-core ──▶ Redis (phase-invoke) ──▶ agent-worker ──▶ AI process (detached, stdout → file)\n                                                              │\nagent-core ◀── Redis (phase-result) ◀── agent-worker ◀───────┘ (on exit)\n```\n\n### Key design properties\n\n- **AI processes are detached**: spawned with `{ detached: true }`, stdout/stderr redirected to files, then `unref()`'d. They survive worker restarts.\n- **Worker is stateless between jobs**: claim a job, spawn the process, move on. No in-memory state to lose.\n- **Orphan recovery on boot**: `OrphanScannerService` scans for PID files where the process is dead but no result was pushed. Re-pushes the result to Redis.\n- **Provider-agnostic**: the job payload specifies the provider (`claude`, etc). The worker builds the appropriate command.\n\n## Project structure\n\n```\nsrc/\n├── main.ts                              # NestJS bootstrap\n├── app.module.ts                        # Root module: config + BullMQ + health + invocation\n├── config/\n│   └── app-config.module.ts             # Joi-validated env config (PORT, REDIS_HOST, REDIS_PORT)\n├── health/\n│   ├── health.module.ts\n│   └── health.controller.ts             # GET /health\n└── invocation/\n    ├── invocation.module.ts             # Registers BullMQ queues (phase-invoke, phase-result)\n    ├── invocation.processor.ts          # BullMQ processor: spawns AI processes, pushes results\n    └── orphan-scanner.service.ts        # Startup scan for orphaned processes\n```\n\n## Development\n\n```bash\nnpm install          # install dependencies\nnpm run build        # compile TypeScript\nnpm run start:dev    # start with watch mode\nnpm run lint         # lint + fix\nnpm test             # run tests\n```","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}
{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_01XMoTLQCodkY5N8Egi4egHU","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01C4EU1JSRcM5rmtAPV2TgAn","name":"Read","input":{"file_path":"/home/agent/ai-agents-sde/.claude/worktrees/agent-worker/issue-496-agents-md/src/invocation/invocation.processor.ts"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":821,"cache_read_input_tokens":23146,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":821},"output_tokens":59,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"746b3b62-3959-469d-a223-e941392dda72","uuid":"3b19e316-87af-499e-b3e0-57fb21dd122a"}
{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01C4EU1JSRcM5rmtAPV2TgAn","type":"tool_result","content":"     1→import { Processor, WorkerHost } from '@nestjs/bullmq';\n     2→import { Logger } from '@nestjs/common';\n     3→import { InjectQueue } from '@nestjs/bullmq';\n     4→import { Queue, Job } from 'bullmq';\n     5→import { spawn } from 'node:child_process';\n     6→import * as fs from 'node:fs';\n     7→import * as path from 'node:path';\n     8→\n     9→export interface InvokeJobData {\n    10→  jobId: string;\n    11→  taskId: string;\n    12→  phase: string;\n    13→  skill: string;\n    14→  provider: string;\n    15→  env: Record<string, string>;\n    16→  taskDir: string;\n    17→  cwd: string;\n    18→  timeout: number;\n    19→  args: string;\n    20→}\n    21→\n    22→function cetTs(): string {\n    23→  return new Date().toLocaleString('sv-SE', { timeZone: 'Europe/Berlin' });\n    24→}\n    25→\n    26→@Processor('phase-invoke', { concurrency: 10 })\n    27→export class InvocationProcessor extends WorkerHost {\n    28→  private readonly logger = new Logger(InvocationProcessor.name);\n    29→\n    30→  constructor(\n    31→    @InjectQueue('phase-result') private readonly resultQueue: Queue,\n    32→  ) {\n    33→    super();\n    34→  }\n    35→\n    36→  process(job: Job<InvokeJobData>): Promise<void> {\n    37→    const { taskId, skill, provider, env, taskDir, cwd, timeout, args } =\n    38→      job.data;\n    39→    const phase = job.data.phase;\n    40→    const metaDir = path.join(taskDir, 'meta');\n    41→\n    42→    if (!fs.existsSync(metaDir)) {\n    43→      fs.mkdirSync(metaDir, { recursive: true });\n    44→    }\n    45→\n    46→    const outputFile = path.join(metaDir, 'ai-output.jsonl');\n    47→    const stderrFile = path.join(metaDir, 'ai-stderr.log');\n    48→    const logFile = path.join(metaDir, 'agent-runner.log');\n    49→    const pidFile = path.join(metaDir, 'ai.pid');\n    50→    const doneFile = path.join(metaDir, 'ai-done.json');\n    51→\n    52→    const outputStream = fs.createWriteStream(outputFile, { flags: 'w' });\n    53→    const stderrStream = fs.createWriteStream(stderrFile, { flags: 'w' });\n    54→    const logStream = fs.createWriteStream(logFile, { flags: 'a' });\n    55→    let logEnded = false;\n    56→\n    57→    const writeLog = (msg: string): void => {\n    58→      if (!logEnded) logStream.write(msg + '\\n');\n    59→    };\n    60→\n    61→    logStream.on('close', () => {\n    62→      logEnded = true;\n    63→    });\n    64→    logStream.on('error', () => {\n    65→      logEnded = true;\n    66→    });\n    67→\n    68→    writeLog(`${cetTs()} - ${phase} - Starting Claude invocation`);\n    69→\n    70→    const command = this.buildCommand(provider, skill, args);\n    71→\n    72→    this.logger.log(\n    73→      `Spawning ${provider} for task ${taskId} phase ${phase}: ${command.bin} ${command.args.join(' ')}`,\n    74→    );\n    75→\n    76→    // Only inherit essential system vars from the worker process.\n    77→    // All task-specific vars (including GITHUB_TOKEN) come from agent-core\n    78→    // via the job payload's env field.\n    79→    const systemEnv: Record<string, string> = {};\n    80→    for (const key of [\n    81→      'PATH',\n    82→      'HOME',\n    83→      'USER',\n    84→      'SHELL',\n    85→      'TERM',\n    86→      'LANG',\n    87→      'NODE_ENV',\n    88→      'VOLTA_HOME',\n    89→    ]) {\n    90→      if (process.env[key]) systemEnv[key] = process.env[key]!;\n    91→    }\n    92→\n    93→    const child = spawn(command.bin, command.args, {\n    94→      detached: true,\n    95→      stdio: ['ignore', 'pipe', 'pipe'],\n    96→      env: { ...systemEnv, ...env },\n    97→      cwd,\n    98→    });\n    99→\n   100→    fs.writeFileSync(pidFile, String(child.pid));\n   101→\n   102→    // Accumulate stdout in memory so result queue doesn't need a file read\n   103→    let stdoutBuffer = '';\n   104→\n   105→    child.stdout.on('data', (chunk: Buffer) => {\n   106→      outputStream.write(chunk);\n   107→      const text = chunk.toString();\n   108→      stdoutBuffer += text;\n   109→\n   110→      for (const line of text.split('\\n')) {\n   111→        if (!line.trim()) continue;\n   112→        try {\n   113→          const parsed = JSON.parse(line) as { type?: string; name?: string };\n   114→          if (parsed.type === 'tool_use') {\n   115→            writeLog(\n   116→              `${cetTs()} - ${phase} - [tool:${parsed.name ?? 'unknown'}] `,\n   117→            );\n   118→          } else if (parsed.type === 'text') {\n   119→            writeLog(`${cetTs()} - ${phase} - [text] `);\n   120→          }\n   121→          // other types (assistant, result, etc.) are skipped for brevity\n   122→        } catch {\n   123→          // malformed JSON line — skip logging it\n   124→        }\n   125→      }\n   126→    });\n   127→\n   128→    child.stderr.on('data', (chunk: Buffer) => {\n   129→      stderrStream.write(chunk);\n   130→      writeLog(`${cetTs()} - ${phase} - stderr: ${chunk.toString().trimEnd()}`);\n   131→    });\n   132→\n   133→    child.on('close', (code) => {\n   134→      const exitCode = code ?? 1;\n   135→      const finishedAt = new Date().toISOString();\n   136→\n   137→      outputStream.end();\n   138→      stderrStream.end();\n   139→      writeLog(`${cetTs()} - ${phase} - Completed with exit code ${exitCode}`);\n   140→      logEnded = true;\n   141→      logStream.end();\n   142→\n   143→      fs.writeFileSync(doneFile, JSON.stringify({ exitCode, finishedAt }));\n   144→\n   145→      this.resultQueue\n   146→        .add('phase-result', {\n   147→          jobId: job.data.jobId,\n   148→          taskId,\n   149→          phase,\n   150→          taskDir,\n   151→          exitCode,\n   152→          finishedAt,\n   153→          stdout: stdoutBuffer,\n   154→        })\n   155→        .then(() => {\n   156→          this.logger.log(\n   157→            `Result pushed for task ${taskId} phase ${phase} (exitCode=${exitCode})`,\n   158→          );\n   159→        })\n   160→        .catch((err: Error) => {\n   161→          this.logger.error(\n   162→            `Failed to enqueue result for task ${taskId}: ${err.message}`,\n   163→          );\n   164→        })\n   165→        .finally(() => {\n   166→          fs.rmSync(pidFile, { force: true });\n   167→        });\n   168→    });\n   169→\n   170→    child.on('error', (err) => {\n   171→      this.logger.error(`Spawn error for task ${taskId}: ${err.message}`);\n   172→\n   173→      outputStream.end();\n   174→      stderrStream.end();\n   175→      writeLog(`${cetTs()} - ${phase} - Error: ${err.message}`);\n   176→      logEnded = true;\n   177→      logStream.end();\n   178→\n   179→      const result = {\n   180→        exitCode: 1,\n   181→        finishedAt: new Date().toISOString(),\n   182→        error: err.message,\n   183→      };\n   184→\n   185→      fs.writeFileSync(doneFile, JSON.stringify(result));\n   186→\n   187→      this.resultQueue\n   188→        .add('phase-result', {\n   189→          jobId: job.data.jobId,\n   190→          taskId,\n   191→          phase,\n   192→          taskDir,\n   193→          outputFile,\n   194→          exitCode: 1,\n   195→          finishedAt: result.finishedAt,\n   196→        })\n   197→        .catch((e: Error) => {\n   198→          this.logger.error(\n   199→            `Failed to enqueue error result for task ${taskId}: ${e.message}`,\n   200→          );\n   201→        })\n   202→        .finally(() => {\n   203→          fs.rmSync(pidFile, { force: true });\n   204→        });\n   205→    });\n   206→\n   207→    child.unref();\n   208→\n   209→    // Set up timeout\n   210→    // Note: process() is fire-and-forget; handlers above push results asynchronously.\n   211→    if (timeout > 0) {\n   212→      setTimeout(() => {\n   213→        try {\n   214→          process.kill(child.pid!, 0);\n   215→          this.logger.warn(\n   216→            `Timeout (${timeout}s) for task ${taskId}, sending SIGTERM`,\n   217→          );\n   218→          process.kill(-child.pid!, 'SIGTERM');\n   219→\n   220→          setTimeout(() => {\n   221→            try {\n   222→              process.kill(child.pid!, 0);\n   223→              this.logger.warn(\n   224→                `Grace period expired for task ${taskId}, sending SIGKILL`,\n   225→              );\n   226→              process.kill(-child.pid!, 'SIGKILL');\n   227→            } catch {\n   228→              // Already dead\n   229→            }\n   230→          }, 10_000);\n   231→        } catch {\n   232→          // Already dead\n   233→        }\n   234→      }, timeout * 1000);\n   235→    }\n   236→\n   237→    return Promise.resolve();\n   238→  }\n   239→\n   240→  private buildCommand(\n   241→    provider: string,\n   242→    skill: string,\n   243→    args: string,\n   244→  ): { bin: string; args: string[] } {\n   245→    switch (provider) {\n   246→      case 'claude':\n   247→        return {\n   248→          bin: 'claude',\n   249→          args: [\n   250→            '-p',\n   251→            `/${skill} ${args}`,\n   252→            '--output-format',\n   253→            'stream-json',\n   254→            '--verbose',\n   255→          ],\n   256→        };\n   257→      default:\n   258→        throw new Error(`Unsupported provider: ${provider}`);\n   259→    }\n   260→  }\n   261→}\n   262→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"parent_tool_use_id":null,"session_id":"746b3b62-3959-469d-a223-e941392dda72","uuid":"e40f5415-a9b1-4952-8f38-61de1d51b206","tool_use_result":{"type":"text","file":{"filePath":"/home/agent/ai-agents-sde/.claude/worktrees/agent-worker/issue-496-agents-md/src/invocation/invocation.processor.ts","content":"import { Processor, WorkerHost } from '@nestjs/bullmq';\nimport { Logger } from '@nestjs/common';\nimport { InjectQueue } from '@nestjs/bullmq';\nimport { Queue, Job } from 'bullmq';\nimport { spawn } from 'node:child_process';\nimport * as fs from 'node:fs';\nimport * as path from 'node:path';\n\nexport interface InvokeJobData {\n  jobId: string;\n  taskId: string;\n  phase: string;\n  skill: string;\n  provider: string;\n  env: Record<string, string>;\n  taskDir: string;\n  cwd: string;\n  timeout: number;\n  args: string;\n}\n\nfunction cetTs(): string {\n  return new Date().toLocaleString('sv-SE', { timeZone: 'Europe/Berlin' });\n}\n\n@Processor('phase-invoke', { concurrency: 10 })\nexport class InvocationProcessor extends WorkerHost {\n  private readonly logger = new Logger(InvocationProcessor.name);\n\n  constructor(\n    @InjectQueue('phase-result') private readonly resultQueue: Queue,\n  ) {\n    super();\n  }\n\n  process(job: Job<InvokeJobData>): Promise<void> {\n    const { taskId, skill, provider, env, taskDir, cwd, timeout, args } =\n      job.data;\n    const phase = job.data.phase;\n    const metaDir = path.join(taskDir, 'meta');\n\n    if (!fs.existsSync(metaDir)) {\n      fs.mkdirSync(metaDir, { recursive: true });\n    }\n\n    const outputFile = path.join(metaDir, 'ai-output.jsonl');\n    const stderrFile = path.join(metaDir, 'ai-stderr.log');\n    const logFile = path.join(metaDir, 'agent-runner.log');\n    const pidFile = path.join(metaDir, 'ai.pid');\n    const doneFile = path.join(metaDir, 'ai-done.json');\n\n    const outputStream = fs.createWriteStream(outputFile, { flags: 'w' });\n    const stderrStream = fs.createWriteStream(stderrFile, { flags: 'w' });\n    const logStream = fs.createWriteStream(logFile, { flags: 'a' });\n    let logEnded = false;\n\n    const writeLog = (msg: string): void => {\n      if (!logEnded) logStream.write(msg + '\\n');\n    };\n\n    logStream.on('close', () => {\n      logEnded = true;\n    });\n    logStream.on('error', () => {\n      logEnded = true;\n    });\n\n    writeLog(`${cetTs()} - ${phase} - Starting Claude invocation`);\n\n    const command = this.buildCommand(provider, skill, args);\n\n    this.logger.log(\n      `Spawning ${provider} for task ${taskId} phase ${phase}: ${command.bin} ${command.args.join(' ')}`,\n    );\n\n    // Only inherit essential system vars from the worker process.\n    // All task-specific vars (including GITHUB_TOKEN) come from agent-core\n    // via the job payload's env field.\n    const systemEnv: Record<string, string> = {};\n    for (const key of [\n      'PATH',\n      'HOME',\n      'USER',\n      'SHELL',\n      'TERM',\n      'LANG',\n      'NODE_ENV',\n      'VOLTA_HOME',\n    ]) {\n      if (process.env[key]) systemEnv[key] = process.env[key]!;\n    }\n\n    const child = spawn(command.bin, command.args, {\n      detached: true,\n      stdio: ['ignore', 'pipe', 'pipe'],\n      env: { ...systemEnv, ...env },\n      cwd,\n    });\n\n    fs.writeFileSync(pidFile, String(child.pid));\n\n    // Accumulate stdout in memory so result queue doesn't need a file read\n    let stdoutBuffer = '';\n\n    child.stdout.on('data', (chunk: Buffer) => {\n      outputStream.write(chunk);\n      const text = chunk.toString();\n      stdoutBuffer += text;\n\n      for (const line of text.split('\\n')) {\n        if (!line.trim()) continue;\n        try {\n          const parsed = JSON.parse(line) as { type?: string; name?: string };\n          if (parsed.type === 'tool_use') {\n            writeLog(\n              `${cetTs()} - ${phase} - [tool:${parsed.name ?? 'unknown'}] `,\n            );\n          } else if (parsed.type === 'text') {\n            writeLog(`${cetTs()} - ${phase} - [text] `);\n          }\n          // other types (assistant, result, etc.) are skipped for brevity\n        } catch {\n          // malformed JSON line — skip logging it\n        }\n      }\n    });\n\n    child.stderr.on('data', (chunk: Buffer) => {\n      stderrStream.write(chunk);\n      writeLog(`${cetTs()} - ${phase} - stderr: ${chunk.toString().trimEnd()}`);\n    });\n\n    child.on('close', (code) => {\n      const exitCode = code ?? 1;\n      const finishedAt = new Date().toISOString();\n\n      outputStream.end();\n      stderrStream.end();\n      writeLog(`${cetTs()} - ${phase} - Completed with exit code ${exitCode}`);\n      logEnded = true;\n      logStream.end();\n\n      fs.writeFileSync(doneFile, JSON.stringify({ exitCode, finishedAt }));\n\n      this.resultQueue\n        .add('phase-result', {\n          jobId: job.data.jobId,\n          taskId,\n          phase,\n          taskDir,\n          exitCode,\n          finishedAt,\n          stdout: stdoutBuffer,\n        })\n        .then(() => {\n          this.logger.log(\n            `Result pushed for task ${taskId} phase ${phase} (exitCode=${exitCode})`,\n          );\n        })\n        .catch((err: Error) => {\n          this.logger.error(\n            `Failed to enqueue result for task ${taskId}: ${err.message}`,\n          );\n        })\n        .finally(() => {\n          fs.rmSync(pidFile, { force: true });\n        });\n    });\n\n    child.on('error', (err) => {\n      this.logger.error(`Spawn error for task ${taskId}: ${err.message}`);\n\n      outputStream.end();\n      stderrStream.end();\n      writeLog(`${cetTs()} - ${phase} - Error: ${err.message}`);\n      logEnded = true;\n      logStream.end();\n\n      const result = {\n        exitCode: 1,\n        finishedAt: new Date().toISOString(),\n        error: err.message,\n      };\n\n      fs.writeFileSync(doneFile, JSON.stringify(result));\n\n      this.resultQueue\n        .add('phase-result', {\n          jobId: job.data.jobId,\n          taskId,\n          phase,\n          taskDir,\n          outputFile,\n          exitCode: 1,\n          finishedAt: result.finishedAt,\n        })\n        .catch((e: Error) => {\n          this.logger.error(\n            `Failed to enqueue error result for task ${taskId}: ${e.message}`,\n          );\n        })\n        .finally(() => {\n          fs.rmSync(pidFile, { force: true });\n        });\n    });\n\n    child.unref();\n\n    // Set up timeout\n    // Note: process() is fire-and-forget; handlers above push results asynchronously.\n    if (timeout > 0) {\n      setTimeout(() => {\n        try {\n          process.kill(child.pid!, 0);\n          this.logger.warn(\n            `Timeout (${timeout}s) for task ${taskId}, sending SIGTERM`,\n          );\n          process.kill(-child.pid!, 'SIGTERM');\n\n          setTimeout(() => {\n            try {\n              process.kill(child.pid!, 0);\n              this.logger.warn(\n                `Grace period expired for task ${taskId}, sending SIGKILL`,\n              );\n              process.kill(-child.pid!, 'SIGKILL');\n            } catch {\n              // Already dead\n            }\n          }, 10_000);\n        } catch {\n          // Already dead\n        }\n      }, timeout * 1000);\n    }\n\n    return Promise.resolve();\n  }\n\n  private buildCommand(\n    provider: string,\n    skill: string,\n    args: string,\n  ): { bin: string; args: string[] } {\n    switch (provider) {\n      case 'claude':\n        return {\n          bin: 'claude',\n          args: [\n            '-p',\n            `/${skill} ${args}`,\n            '--output-format',\n            'stream-json',\n            '--verbose',\n          ],\n        };\n      default:\n        throw new Error(`Unsupported provider: ${provider}`);\n    }\n  }\n}\n","numLines":262,"startLine":1,"totalLines":262}}}
{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_017jZ1LMhT97gPrTMCkj69BF","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"Now I have a good understanding of the changes. Let me analyze what learnings are worth capturing:\n\n1. **stdio pipe mode vs fd-based for BullMQ workers**: When a BullMQ worker needs to both log output in real-time and accumulate it in memory (for the result queue payload), use `stdio: ['ignore', 'pipe', 'pipe']` instead of fd-based file streams. Pipe mode keeps the event loop alive while the child runs, which is correct for a long-running BullMQ worker.\n\n2. **logEnded boolean guard**: When writing to a log stream from async event handlers on a child process, use a `logEnded` boolean guard set in the stream's `close` and `error` events to prevent write-after-end errors.\n\n\n3. **Memory buffer over file reads**: Accumulate stdout directly in a buffer rather than reading from disk after the process ends, since the WriteStream might not have fully flushed yet and creates a race condition.\n4. **Fire-and-forget BullMQ pattern**: The processor should resolve immediately after spawning the child, then push results to a separate queue from the child's close handler instead of waiting for completion.\n\nNow let me check what's already documented in AGENTS.md or the git history to see what state the repo is in.","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":4203,"cache_read_input_tokens":23146,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":4203},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"746b3b62-3959-469d-a223-e941392dda72","uuid":"ec4e1dcd-3d92-49b3-bed4-955cee399809"}
{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_017jZ1LMhT97gPrTMCkj69BF","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01J3XQjApekiYv8zCbcXDcxk","name":"Bash","input":{"command":"cd /home/agent/ai-agents-sde/.claude/worktrees/agent-worker/issue-496-agents-md && git log --oneline -10 2>/dev/null; git branch 2>/dev/null","description":"Check git state in worktree"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":4203,"cache_read_input_tokens":23146,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":4203},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"746b3b62-3959-469d-a223-e941392dda72","uuid":"b0a98d47-6919-4620-8b4e-8afb311d6c3f"}
{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01J3XQjApekiYv8zCbcXDcxk","type":"tool_result","content":"a0af4be Merge pull request #6 from AgentSDE/feat/issue-496-restore-agent-runner-log\n6dd9739 feat: implement AgentSDE/agent-core#496 — restore agent-runner.log in InvocationProcessor\n906cf58 Merge pull request #5 from AgentSDE/feat/include-stdout-in-result\nd7830a3 feat: include raw stdout content in phase-result payload\neefbea6 Merge pull request #4 from AgentSDE/feat/increase-concurrency\n8ae5cd3 feat: increase BullMQ processor concurrency to 10\n549b9f6 Merge pull request #3 from AgentSDE/fix/redis-db-isolation\ncc96694 fix: add REDIS_DB support for prod/test isolation\n0231cdb Merge pull request #2 from AgentSDE/fix/sanitize-child-env\n73b768b fix: sanitize child process env — only pass system vars + job payload\n* agents-md/issue-496\n+ master\nShell cwd was reset to /home/agent/AgentSDE/agent-core","is_error":false}]},"parent_tool_use_id":null,"session_id":"746b3b62-3959-469d-a223-e941392dda72","uuid":"c9b58880-a842-4fe9-94a8-3014fb651cb1","tool_use_result":{"stdout":"a0af4be Merge pull request #6 from AgentSDE/feat/issue-496-restore-agent-runner-log\n6dd9739 feat: implement AgentSDE/agent-core#496 — restore agent-runner.log in InvocationProcessor\n906cf58 Merge pull request #5 from AgentSDE/feat/include-stdout-in-result\nd7830a3 feat: include raw stdout content in phase-result payload\neefbea6 Merge pull request #4 from AgentSDE/feat/increase-concurrency\n8ae5cd3 feat: increase BullMQ processor concurrency to 10\n549b9f6 Merge pull request #3 from AgentSDE/fix/redis-db-isolation\ncc96694 fix: add REDIS_DB support for prod/test isolation\n0231cdb Merge pull request #2 from AgentSDE/fix/sanitize-child-env\n73b768b fix: sanitize child process env — only pass system vars + job payload\n* agents-md/issue-496\n+ master","stderr":"\nShell cwd was reset to /home/agent/AgentSDE/agent-core","interrupted":false,"isImage":false,"noOutputExpected":false}}
{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_01UeyadHhBGFzEC6wJ8ymG9b","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"The worktree is on the `agents-md/issue-496` branch. There's no AGENTS.md in this repo. Let me check if there's already one in this worktree or if I need to create it.\n\nThe branch `agents-md/issue-496` already exists. Let me see if there's already an AGENTS.md there.","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":756,"cache_read_input_tokens":27349,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":756},"output_tokens":35,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"746b3b62-3959-469d-a223-e941392dda72","uuid":"ee39d4ed-14fe-444b-98ac-6ebaff3572ec"}
{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_01UeyadHhBGFzEC6wJ8ymG9b","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_013dW92fgiyAwoq6FYx3frQN","name":"Bash","input":{"command":"cd /home/agent/ai-agents-sde/.claude/worktrees/agent-worker/issue-496-agents-md && git status && git show HEAD --name-only 2>/dev/null | head -20","description":"Check git status in worktree"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":756,"cache_read_input_tokens":27349,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":756},"output_tokens":35,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"746b3b62-3959-469d-a223-e941392dda72","uuid":"5593af43-6f9c-48a0-a8a0-9ff483597dbd"}
{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013dW92fgiyAwoq6FYx3frQN","type":"tool_result","content":"On branch agents-md/issue-496\nYour branch is up to date with 'origin/master'.\n\nnothing to commit, working tree clean\ncommit a0af4becf280c9887dac7348d19dbec6f99d9fbe\nMerge: 906cf58 6dd9739\nAuthor: Zamiul Hasan <zhfahan77@gmail.com>\nDate:   Tue Apr 14 02:23:38 2026 +0200\n\n    Merge pull request #6 from AgentSDE/feat/issue-496-restore-agent-runner-log\n    \n    feat: restore agent-runner.log in InvocationProcessor (AgentSDE/agent-core#496)\nShell cwd was reset to /home/agent/AgentSDE/agent-core","is_error":false}]},"parent_tool_use_id":null,"session_id":"746b3b62-3959-469d-a223-e941392dda72","uuid":"2d7f58c4-58d0-4af8-a179-1dd293f2d8c6","tool_use_result":{"stdout":"On branch agents-md/issue-496\nYour branch is up to date with 'origin/master'.\n\nnothing to commit, working tree clean\ncommit a0af4becf280c9887dac7348d19dbec6f99d9fbe\nMerge: 906cf58 6dd9739\nAuthor: Zamiul Hasan <zhfahan77@gmail.com>\nDate:   Tue Apr 14 02:23:38 2026 +0200\n\n    Merge pull request #6 from AgentSDE/feat/issue-496-restore-agent-runner-log\n    \n    feat: restore agent-runner.log in InvocationProcessor (AgentSDE/agent-core#496)","stderr":"\nShell cwd was reset to /home/agent/AgentSDE/agent-core","interrupted":false,"isImage":false,"noOutputExpected":false}}
{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_01DZo57dTnWSiZxR65dAp9C6","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"There's no AGENTS.md in this repo yet. I need to create one. Let me think about the learnings from this task:\n\n1. **Pipe mode for observable child processes**: When a BullMQ worker needs to stream child process output to disk AND accumulate it in memory, use `stdio: ['ignore', 'pipe', 'pipe']` (pipe mode) rather than fd-based streams. Pipe mode keeps the Node.js event loop alive during the child's lifetime and allows attaching `.on('data')` handlers.\n\n2. **logEnded guard for WriteStream safety**: When writing to a WriteStream from multiple async event handlers (stdout/stderr data + close), use a `logEnded` boolean that is set in the stream's `close` and `error` callbacks to prevent write-after-end errors.\n\n\n3. **Fire-and-forget BullMQ pattern**: The processor should resolve immediately after spawning the child, then push results to a result queue from within the child's `close` handler rather than waiting for completion.\n4. **In-memory buffering over file reads**: Accumulate stdout in a string buffer while streaming instead of reading from disk after the process closes, which avoids race conditions with WriteStream flushing.\n\nNow I'll create AGENTS.md and the PR. Since CLAUDE.md for agent-worker doesn't reference AGENTS.md, this will be a new addition.","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":420,"cache_read_input_tokens":28105,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":420},"output_tokens":34,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"746b3b62-3959-469d-a223-e941392dda72","uuid":"351c646c-e6fb-412a-ab27-7dfbf0542d43"}
{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_01DZo57dTnWSiZxR65dAp9C6","type":"message","role":"assistant","content":[{"type":"text","text":"Now I have all the context. Let me create the AGENTS.md and PR:"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":420,"cache_read_input_tokens":28105,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":420},"output_tokens":34,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"746b3b62-3959-469d-a223-e941392dda72","uuid":"4014cb5d-45fc-40b4-b99a-58d4f35fca80"}
{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_01DZo57dTnWSiZxR65dAp9C6","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_012kDbMUGyXSNFKvv56eLRHq","name":"Write","input":{"file_path":"/home/agent/ai-agents-sde/.claude/worktrees/agent-worker/issue-496-agents-md/AGENTS.md","content":"# AGENTS.md — agent-worker knowledge base\n\nLast updated: 2026-04-14 (issue #496)\n\n## Architecture\n\n- `InvocationProcessor` is a fire-and-forget BullMQ processor: `process()` resolves immediately after spawning the child. Results are pushed to the `phase-result` queue inside the child's `close` handler — not via the `process()` return value.\n- The worker is stateless: spawn a child, write a PID file, return. `OrphanScannerService` handles recovery if the worker restarts before the child exits.\n\n## Child process I/O\n\n- Use `stdio: ['ignore', 'pipe', 'pipe']` (pipe mode) — not fd-based — when you need both disk streaming and in-memory accumulation. Pipe mode keeps the Node.js event loop alive during the child's lifetime and allows `.on('data')` handlers.\n- Accumulate stdout in an in-memory buffer (`stdoutBuffer += chunk.toString()`) instead of reading from the output file after process close, to avoid race conditions before the WriteStream fully flushes.\n- Use a `logEnded` boolean (set in the stream's `close` and `error` callbacks) to guard all WriteStream writes. This prevents write-after-end errors when close and data events interleave across stdout, stderr, and log streams.\n\n## Logging\n\n- `agent-runner.log` is the human-readable audit trail for each invocation. Write timestamped start header, per-chunk entries (`[tool:X]`, `[text]`, `stderr:`), and completion footer.\n- Parse stdout JSON lines inline: `tool_use` → `[tool:X]`, `text` → `[text]`. Silently skip malformed lines (bare `catch {}`).\n- Use a `cetTs()` helper (`toLocaleString('sv-SE', { timeZone: 'Europe/Berlin' })`) for consistent CET/CEST timestamps.\n\n## Environment\n\n- Only inherit a known-safe allowlist of system env vars (`PATH`, `HOME`, `USER`, `SHELL`, `TERM`, `LANG`, `NODE_ENV`, `VOLTA_HOME`) from the worker process. All task-specific vars (including `GITHUB_TOKEN`) come from the job payload `env` field.\n\n## Testing\n\n- Unit tests mock `fs.createWriteStream` and `child_process.spawn` — do not require Redis or a running worker.\n- Cover: log creation/format, JSON line parsing, `logEnded` guard, error path on spawn failure.\n"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":420,"cache_read_input_tokens":28105,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":420},"output_tokens":34,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"746b3b62-3959-469d-a223-e941392dda72","uuid":"f9362417-01ee-48bf-b2b2-e18ffb7bb254"}
{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012kDbMUGyXSNFKvv56eLRHq","type":"tool_result","content":"File created successfully at: /home/agent/ai-agents-sde/.claude/worktrees/agent-worker/issue-496-agents-md/AGENTS.md"}]},"parent_tool_use_id":null,"session_id":"746b3b62-3959-469d-a223-e941392dda72","uuid":"60771aa1-aaa7-4a9b-bd5e-a45f842ccd00","tool_use_result":{"type":"create","filePath":"/home/agent/ai-agents-sde/.claude/worktrees/agent-worker/issue-496-agents-md/AGENTS.md","content":"# AGENTS.md — agent-worker knowledge base\n\nLast updated: 2026-04-14 (issue #496)\n\n## Architecture\n\n- `InvocationProcessor` is a fire-and-forget BullMQ processor: `process()` resolves immediately after spawning the child. Results are pushed to the `phase-result` queue inside the child's `close` handler — not via the `process()` return value.\n- The worker is stateless: spawn a child, write a PID file, return. `OrphanScannerService` handles recovery if the worker restarts before the child exits.\n\n## Child process I/O\n\n- Use `stdio: ['ignore', 'pipe', 'pipe']` (pipe mode) — not fd-based — when you need both disk streaming and in-memory accumulation. Pipe mode keeps the Node.js event loop alive during the child's lifetime and allows `.on('data')` handlers.\n- Accumulate stdout in an in-memory buffer (`stdoutBuffer += chunk.toString()`) instead of reading from the output file after process close, to avoid race conditions before the WriteStream fully flushes.\n- Use a `logEnded` boolean (set in the stream's `close` and `error` callbacks) to guard all WriteStream writes. This prevents write-after-end errors when close and data events interleave across stdout, stderr, and log streams.\n\n## Logging\n\n- `agent-runner.log` is the human-readable audit trail for each invocation. Write timestamped start header, per-chunk entries (`[tool:X]`, `[text]`, `stderr:`), and completion footer.\n- Parse stdout JSON lines inline: `tool_use` → `[tool:X]`, `text` → `[text]`. Silently skip malformed lines (bare `catch {}`).\n- Use a `cetTs()` helper (`toLocaleString('sv-SE', { timeZone: 'Europe/Berlin' })`) for consistent CET/CEST timestamps.\n\n## Environment\n\n- Only inherit a known-safe allowlist of system env vars (`PATH`, `HOME`, `USER`, `SHELL`, `TERM`, `LANG`, `NODE_ENV`, `VOLTA_HOME`) from the worker process. All task-specific vars (including `GITHUB_TOKEN`) come from the job payload `env` field.\n\n## Testing\n\n- Unit tests mock `fs.createWriteStream` and `child_process.spawn` — do not require Redis or a running worker.\n- Cover: log creation/format, JSON line parsing, `logEnded` guard, error path on spawn failure.\n","structuredPatch":[],"originalFile":null}}
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{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01CMo6xV8ugc3azLojddYhr2","type":"tool_result","content":"[agents-md/issue-496 7c0a9a0] docs: update AGENTS.md with learnings from #496\n 1 file changed, 29 insertions(+)\n create mode 100644 AGENTS.md\nremote: \nremote: Create a pull request for 'agents-md/issue-496' on GitHub by visiting:        \nremote:      https://github.com/AgentSDE/agent-worker/pull/new/agents-md/issue-496        \nremote: \nTo https://github.com/AgentSDE/agent-worker.git\n * [new branch]      agents-md/issue-496 -> agents-md/issue-496\nbranch 'agents-md/issue-496' set up to track 'origin/agents-md/issue-496'.\nShell cwd was reset to /home/agent/AgentSDE/agent-core","is_error":false}]},"parent_tool_use_id":null,"session_id":"746b3b62-3959-469d-a223-e941392dda72","uuid":"2570f004-af94-4efd-adf0-76f8d883dd01","tool_use_result":{"stdout":"[agents-md/issue-496 7c0a9a0] docs: update AGENTS.md with learnings from #496\n 1 file changed, 29 insertions(+)\n create mode 100644 AGENTS.md\nremote: \nremote: Create a pull request for 'agents-md/issue-496' on GitHub by visiting:        \nremote:      https://github.com/AgentSDE/agent-worker/pull/new/agents-md/issue-496        \nremote: \nTo https://github.com/AgentSDE/agent-worker.git\n * [new branch]      agents-md/issue-496 -> agents-md/issue-496\nbranch 'agents-md/issue-496' set up to track 'origin/agents-md/issue-496'.","stderr":"\nShell cwd was reset to /home/agent/AgentSDE/agent-core","interrupted":false,"isImage":false,"noOutputExpected":false}}
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{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01R4Nx65pSAaueYfT8zGx19t","type":"tool_result","content":"https://github.com/AgentSDE/agent-worker/pull/7\nShell cwd was reset to /home/agent/AgentSDE/agent-core","is_error":false}]},"parent_tool_use_id":null,"session_id":"746b3b62-3959-469d-a223-e941392dda72","uuid":"691aec3d-8027-42fc-8360-cedb31064d72","tool_use_result":{"stdout":"https://github.com/AgentSDE/agent-worker/pull/7","stderr":"\nShell cwd was reset to /home/agent/AgentSDE/agent-core","interrupted":false,"isImage":false,"noOutputExpected":false}}
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{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_015FiD9PU37oqEJerbDXasrr","type":"message","role":"assistant","content":[{"type":"text","text":"PR created at https://github.com/AgentSDE/agent-worker/pull/7.\n\nLearnings captured in `AGENTS.md` for agent-worker (issue #496):\n- **Pipe mode for child processes**: use `stdio: ['ignore', 'pipe', 'pipe']` for BullMQ workers that need both disk streaming and in-memory accumulation\n- **logEnded guard**: set in stream `close`/`error` callbacks to prevent write-after-end errors\n- **Memory buffer over file-read**: accumulate stdout in-memory instead of reading from file after process close to avoid flush race conditions\n- **Fire-and-forget pattern**: `process()` resolves immediately; results are pushed to the result queue in the child's `close` handler\n- **Env allowlist**: only inherit a known-safe system env var allowlist; task-specific vars come from job payload\n\n<promise>COMPLETE</promise>"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":185,"cache_read_input_tokens":30278,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":185},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"746b3b62-3959-469d-a223-e941392dda72","uuid":"8072ad4e-8214-464c-9bbc-e8607d82d97b"}
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