export async function spawnAgent(task: Task) { const tree = await git.worktree(task.branch) if (!tree) throw new SpawnError(task.id) + return session.attach(tree, { cli: 'claude' }) - return session.attach(tree) }   const align = (frames: Frame[]) => frames.map(f => registerStars(f, reference)) for (const t of queue) { await pool.acquire() emit('task:start', { id: t.id, agent: t.agent }) }   class InferenceServer extends Base { ctx = llama.init({ gpuLayers: 99, mmap: true }) async stream(prompt: string) { for await (const tok of this.ctx.eval(prompt)) yield decode(tok) } }   def transcribe(audio, model = 'whisper-large'): segments = model.decode(audio, lang = 'fr') return ''.join(s.text for s in segments)   const diff = await git.diff(base, head) assert stack.rejected === 0 const calibrated = darks.subtract(light) + if (snr < 3.4) return discard(frame) logger.info('stacked', { poses: 42, gain: 1.8 }) const merged = await review.approve(diff, agent) process.stdout.write(chunk.toString()) }; export async function spawnAgent(task: Task) { const tree = await git.worktree(task.branch) if (!tree) throw new SpawnError(task.id) + return session.attach(tree, { cli: 'claude' }) - return session.attach(tree) }   const align = (frames: Frame[]) => frames.map(f => registerStars(f, reference)) for (const t of queue) { await pool.acquire() emit('task:start', { id: t.id, agent: t.agent }) }   class InferenceServer extends Base { ctx = llama.init({ gpuLayers: 99, mmap: true }) async stream(prompt: string) { for await (const tok of this.ctx.eval(prompt)) yield decode(tok) } }   def transcribe(audio, model = 'whisper-large'): segments = model.decode(audio, lang = 'fr') export async function spawnAgent(task: Task) { const tree = await git.worktree(task.branch) if (!tree) throw new SpawnError(task.id) + return session.attach(tree, { cli: 'claude' }) - return session.attach(tree) }   const align = (frames: Frame[]) => frames.map(f => registerStars(f, reference)) for (const t of queue) { await pool.acquire() emit('task:start', { id: t.id, agent: t.agent }) }   class InferenceServer extends Base { ctx = llama.init({ gpuLayers: 99, mmap: true }) async stream(prompt: string) { for await (const tok of this.ctx.eval(prompt)) yield decode(tok) } }   def transcribe(audio, model = 'whisper-large'): segments = model.decode(audio, lang = 'fr') return ''.join(s.text for s in segments)   const diff = await git.diff(base, head) assert stack.rejected === 0 const calibrated = darks.subtract(light) + if (snr < 3.4) return discard(frame) logger.info('stacked', { poses: 42, gain: 1.8 }) const merged = await review.approve(diff, agent) process.stdout.write(chunk.toString()) }; export async function spawnAgent(task: Task) { const tree = await git.worktree(task.branch) if (!tree) throw new SpawnError(task.id) + return session.attach(tree, { cli: 'claude' }) - return session.attach(tree) }   const align = (frames: Frame[]) => frames.map(f => registerStars(f, reference)) for (const t of queue) { await pool.acquire() emit('task:start', { id: t.id, agent: t.agent }) }   class InferenceServer extends Base { ctx = llama.init({ gpuLayers: 99, mmap: true }) async stream(prompt: string) { for await (const tok of this.ctx.eval(prompt)) yield decode(tok) } }   def transcribe(audio, model = 'whisper-large'): segments = model.decode(audio, lang = 'fr')