惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

酷 壳 – CoolShell
酷 壳 – CoolShell
G
Google Developers Blog
L
LangChain Blog
Y
Y Combinator Blog
Vercel News
Vercel News
WordPress大学
WordPress大学
大猫的无限游戏
大猫的无限游戏
博客园 - Franky
V
Visual Studio Blog
小众软件
小众软件
月光博客
月光博客
A
About on SuperTechFans
H
Hackread – Cybersecurity News, Data Breaches, AI and More
T
The Blog of Author Tim Ferriss
有赞技术团队
有赞技术团队
M
MIT News - Artificial intelligence
阮一峰的网络日志
阮一峰的网络日志
Last Week in AI
Last Week in AI
博客园 - 【当耐特】
让小产品的独立变现更简单 - ezindie.com
让小产品的独立变现更简单 - ezindie.com
MongoDB | Blog
MongoDB | Blog
Jina AI
Jina AI
美团技术团队
量子位

Hacker News - Newest: "AI"

AI can't read an investor deck AI as an attorney? Student uses ChatGPT, Gemini to sue UW over alleged racial discrimination Hacking MCP Servers in AI Systems – The Rug Pull: Tool Changes After Approval GitHub - MeepCastana/KubeezCut: Free Web based video editor Can AI judge journalism? A Thiel-backed startup says yes, even if it risks chilling whistleblowers Coming soon: 10 Things That Matter in AI Right Now DARPA built an AI to fact-check enemy weapons claims What explains heterogeneity in AI adoption? When AI Meets Muscle: Context-Aware Electrical Stimulation Promises a New Way to Guide Human Movements - Department of Computer Science AI Changed How We Build. It Did Not Change What Matters. Linux rules on using AI-generated code - Copilot is OK, but humans must take 'full responsibility for the… Meta spins up AI version of Mark Zuckerberg to engage with employees Code Mode: Let Your AI Write Programs, Not Just Call Tools | TanStack Blog GitHub - Delavalom/graft: Go framework for building AI agents. Type-safe tools, multi-provider (OpenAI, Anthropic, Gemini, Bedrock), zero vendor SDKs. India's TCS tops estimates, says new AI models did not dent services demand Gen Z's fading AI hype Strong feeling: we are in a folded AI reality GitHub - machinarii/total-recall-catalog: A reference catalog of latest knowledge retrieval, memory & RAG systems GitHub - mensfeld/code-on-incus: Give each AI agent its own isolated machine with root, Docker, and systemd. Active defense detects and stops threats automatically.. Quantization, LoRA, and the 8% Problem: Benchmarking Local LLMs for Production AI Iran war: We spoke to the man making Lego-style AI videos that experts say are powerful propaganda Powell, Bessent discussed Anthropic's Mythos AI cyber threat with major U.S. banks GitHub - immartian/bellamem: Persistent belief-graph memory for AI agents. Retrieves decisive context by importance — not recency, not RAG, not /compact. recursive-mode: The Repo-Native Operating System for AI Engineering After the attack on Sam Altman's home, will AI CEO's go on the offensive? The biggest advance in AI since the LLM Opus 4.6 vs GPT 5.4 One Prompt Unity World Generation Test “AI polls” are fake polls Client Challenge Can AI be a 'child of God'? Inside Anthropic's meeting with Christian leaders
GitHub - tinyhq/anyframe-python: The official Python SDK ...
inishchith · 2026-05-18 · via Hacker News - Newest: "AI"

PyPI version

The official Python SDK for the AnyFrame control plane - point an agent at a repo, get a sandbox running Claude Code inside.

                                ┌──────────────────────────────┐
                                │  Agent  (repo, system prompt)│
                                │   ├── Skills                 │
                                │   ├── MCPs                   │
                                │   └── Connector toggles      │
   ┌──────────┐   anyframe SDK  └─────────────┬────────────────┘
   │   you    │ ───────────────────▶          │  build
   │ (python) │                               ▼
   └──────────┘   ┌──────────────────────────────────────────┐
                  │ Session (sandbox · chat · serve)         │
                  └──────────────────────────────────────────┘

User-level Connectors plug MCP servers (Linear, Sentry, …) in once and toggle them per-agent. Skills + MCPs ride with the agent into every session it boots.

Demo

AnyFrame.mp4

Install

uv add anyframe

Get an API key

The SDK authenticates with a personal API token (prefix afm_).

  1. Sign in at anyfrm.com.

  2. Open Dashboard → Settings → API keys and click Create key.

  3. Copy the afm_... token (shown once - store it now).

  4. Drop it into a .env next to your script, or export it:

    ANYFRAME_API_KEY=afm_...

Already authed in another script? af.tokens.create(name="ci-bot") mints a new one programmatically.

Working with private repos? Also set a GitHub PAT once - in the dashboard's Credentials page, or via af.credentials.set_github("ghp_..."). See Credentials.

Quickstart

Take over a web session

Already have a session running in the web UI? Attach to it and take a turn:

import anyframe

af = anyframe.AnyFrame()                        # reads ANYFRAME_API_KEY + ANYFRAME_BASE_URL

# Grab the session id from the web URL, or list and pick one:
session = next(s for s in af.sessions.list() if s.status == "running")

af.sessions.message(session.id, {"text": "summarize what you've done so far"})

for event in af.sessions.events(session.id):    # live SSE; Ctrl-C when done
    print(event.event, event.json())

message and events proxy verbatim to the in-sandbox chat - the web UI and the SDK are two clients on the same channel.

Build a fresh agent from scratch

import anyframe

af = anyframe.AnyFrame()

agent = af.agents.create(name="demo", repo_url="tinyhq/box", install_cmd="bun install")
af.agents.build(agent.id)
af.agents.wait_for_build(agent.id)

session = af.sessions.create(agent_id=agent.id)
session = af.sessions.wait_until_running(session.id)
print(session.sandbox_url)

Authentication

.env in your project root, or shell environment:

ANYFRAME_API_KEY=afm_...
ANYFRAME_BASE_URL=https://api.anyfrm.com   # optional
ANYFRAME_LOG_LEVEL=INFO                    # set DEBUG for request tracing

See Get an API key for where the afm_... token comes from.

Async

Every method exists on AsyncAnyFrame with the same signature, just await-ed.

import asyncio, anyframe

async def main():
    async with anyframe.AsyncAnyFrame() as af:
        me = await af.me()
        agents = await af.agents.list()

asyncio.run(main())

Agents

Agents are the unit of "what runs in the sandbox" - a repo, a system prompt, a permissions config.

af.agents.list()
af.agents.create(
    name="demo",
    repo_url="owner/name",
    install_cmd="bun install",
    runtime="claude",                   # or "codex"
    env_vars={"DATABASE_URL": "..."},   # injected into every session
)
af.agents.get(agent_id)                # AgentDetail: includes skills, mcps, connectors, image
af.agents.update(agent_id, name="renamed")
af.agents.delete(agent_id)

Skills

Skills are bundles of instructions the agent loads at boot (think: "deploy this app", "review this PR").

af.agents.skills.list(agent_id)
af.agents.skills.create(agent_id, name="deploy", source="inline", content={...})
af.agents.skills.update(agent_id, skill_id, enabled=False)
af.agents.skills.delete(agent_id, skill_id)

MCPs

MCPs configured inline on the agent - for one-off MCP servers that aren't worth setting up as a reusable connector.

af.agents.mcps.list(agent_id)
af.agents.mcps.create(agent_id, name="git", transport="http", config={"url": "..."})
af.agents.mcps.update(agent_id, mcp_id, enabled=False)
af.agents.mcps.delete(agent_id, mcp_id)

Connectors

User-level MCP connectors - configure once, then opt in per-agent via the connector-toggle API below.

af.connectors.list()
discovery = af.connectors.discover("https://mcp.linear.app/sse")
authorize = af.connectors.create_oauth(mcp_url=discovery.mcp_url, display_name="Linear")
# open authorize.authorize_url in a browser; callback completes server-side
af.connectors.create_bearer(mcp_url="...", display_name="...", token="...")
af.connectors.reauthorize(connector_id)
af.connectors.delete(connector_id)

Catalog

The control plane ships with a curated catalog (Linear, Sentry, Google, …). Install by slug instead of pasting URLs.

catalog = af.connectors.list_catalog()         # ConnectorCatalogItem[]
af.connectors.install_catalog_oauth("linear")  # → authorize URL (DCR or pre-registered)
af.connectors.install_catalog_bearer("sentry", token="...")

Per-agent toggle (controls which connectors apply to one agent):

af.agents.connectors.list(agent_id)
af.agents.connectors.set(agent_id, connector_id, enabled=True)

Builds

Builds bake an agent's repo + dependencies into a cached sandbox image - required before a session can boot it.

af.agents.build(agent_id, force=False)      # queue a build
af.agents.build_status(agent_id)            # current state + cached image id
af.agents.builds(agent_id, limit=20)        # history
af.agents.build_log_url(agent_id, build_id) # signed R2 URL for the archived log
for event in af.agents.stream_build(agent_id, build_id):
    print(event.event, event.json())        # live SSE log frames
af.agents.wait_for_build(agent_id)          # blocks until succeeded / fails

Sessions

A session is one live sandbox. Lifecycle is booting → running → snapshotting → terminated; resume brings a terminated session back from its snapshot.

session = af.sessions.create(agent_id=agent.id, idle_timeout_s=300)
af.sessions.wait_until_running(session.id)
af.sessions.list()
af.sessions.get(session.id)
af.sessions.snapshots(session.id)
af.sessions.terminate(session.id)
af.sessions.resume(session.id)
af.sessions.delete(session.id)              # hard delete; requires terminated

Setup sessions + save-as-base

Setup sessions are user-driven sandboxes you use to seed an agent's filesystem (clone, install, warm caches), then promote to that agent's warmup image. Future normal sessions then hydrate from the promoted snapshot.

session = af.sessions.create(agent_id=agent.id, is_setup_session=True)
af.sessions.wait_until_running(session.id)
# ... do interactive setup ...
result = af.sessions.save_as_base(session.id)  # SaveAsBaseResult
print(result.warmup_image_id)

Chat

Talk to the running agent. message and respond proxy verbatim to the in-sandbox chat server; events is the live SSE stream; transcript reads persisted history.

af.sessions.message(session.id, {"text": "deploy main to staging"})
for event in af.sessions.events(session.id, last_event_id=None):
    print(event.id, event.event, event.json())
af.sessions.transcript(session.id, since=0, limit=1000)
af.sessions.respond(session.id, {"decision": "approve", "tool_use_id": "..."})

Previews (in-sandbox dev servers)

Launch dev servers inside the sandbox and tunnel their ports out. Multiple previews can run per session - name them or address them by port.

af.sessions.previews_start(session.id, cmd="bun dev", port=3000, name="web")
af.sessions.previews_status(session.id, name="web")     # PreviewActionResult
af.sessions.previews_list(session.id)                    # Preview[]
af.sessions.previews_logs(session.id, name="web", tail=200)
af.sessions.previews_stop(session.id, name="web")

# Atomic batch - restarts at most once when allocating new ports
af.sessions.previews_batch_start(session.id, [
    anyframe.PreviewSpec(cmd="bun dev", port=3000, name="web"),
    anyframe.PreviewSpec(cmd="bun api", port=4000, name="api"),
])

Migrated from the old serve_* methods. The control plane replaced /sessions/{id}/serve/* with a single POST /sessions/{id}/previews action body. The SDK methods above target that endpoint; Session.previews (a list of Preview) replaces serve_status / serve_port / serve_url.

Attention rail

A curated, newest-first list of things the operator should act on - pending permission prompts, idle running sessions, and recently-paused sessions.

for item in af.attention.list(limit=20):
    print(item.kind, item.agent_name, item.preview)

Each row is one of AttentionPendingItem, AttentionIdleItem, or AttentionPausedItem. Discriminate on item.kind.

Credentials

The control plane needs a runtime credential - Claude OAuth (default Claude runtime) or an OpenAI Codex token (Codex runtime) - plus a GitHub PAT for private repos. It only ever shows you redacted views.

af.credentials.get()                        # set flag + last4 for claude / codex / github
af.credentials.set_claude("sk-...")
af.credentials.set_codex("sk-...")
af.credentials.set_github("ghp_...")
af.credentials.clear_claude()
af.credentials.clear_codex()
af.credentials.clear_github()

Tokens

Manage the API keys this SDK uses. create returns the raw token exactly once - store it now.

af.tokens.list()
created = af.tokens.create(name="ci-bot")
print(created.token)                        # afm_...  one-time
af.tokens.revoke(created.id)

Errors

All errors derive from anyframe.AnyFrameError, so one except catches everything.

anyframe.AnyFrameError       # base
├── anyframe.APIError        # any non-2xx (status_code, message)
├── anyframe.AuthError       # 401 - bad / missing API key
├── anyframe.NotFoundError   # 404
├── anyframe.ConflictError   # 409 - e.g. delete on a running session
├── anyframe.ValidationError # 400/422 (carries field-level details)
├── anyframe.RateLimitError  # 429 (exposes retry_after)
└── anyframe.ServerError     # 5xx

License

MIT.


Docs: docs.anyfrm.com · Found a bug or have a question? Join us on Discord.