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')
return ''.join(s.text for s in segments)
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')
return ''.join(s.text for s in segments)
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')
