AI Coding Live News

Cartesia launches Managed Agents voice agent platform: #1 of 30 on Speech Agent Arena, $0.03 per minute at launch

Voice model company Cartesia launched Managed Agents on Oct 29, an end-to-end voice agent platform for enterprise phone calls that tunes its own speech-to-text and text-to-speech models together with the agent harness, and bundles telephony, knowledge bases, tool calls and outbound batches. Cartesia says it ranks #1 on Artificial Analysis's Speech Agent Arena with a 1115 Elo and scores 87.4% accuracy and 90.7% experience on ServiceNow's EVA-Bench (vendor-reported, with GPT-5.5 as the reasoning model). Launch pricing is 50% off at $0.03 per minute.

Cartesia launches Managed Agents voice agent platform: #1 of 30 on Speech Agent Arena, $0.03 per minute at launch

Key Takeaways

  • On Artificial Analysis's Speech Agent Arena blind preference test, Managed Agents ranks #1 of 30 agents with a 1115 Elo, ahead of Gemini 3.1 Flash Live Minimal (1099), Grok Voice 3.0 (1064) and GPT-Live-1 (1041) (Cartesia blog, as cited by the vendor)
  • First-attempt results on ServiceNow EVA-Bench across 200+ customer service, IT service and HR scenarios: 87.4% accuracy and 90.7% experience, versus 73.7%/71.2% for Grok Voice 3.0 and 59.0%/61.6% for GPT Realtime 2.1 (EVA-Bench)
  • All these benchmark runs use GPT-5.5 as the reasoning model; Cartesia's internal evaluation says 85% of calls had no turn-taking issues, versus 67% for other agents
  • Launch pricing is 50% off at $0.03 per minute; Cartesia says the platform has already handled tens of millions of conversations in finance, retail, hospitality and healthcare
  • It supports 44 languages; English, Spanish, Hindi, French and Japanese can switch mid-call today, with the rest coming soon
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Google previews Gemini API CLI (gemini-api), a zero-dependency Go binary that lets Claude Code, Codex, Cursor and other coding agents generate media, transcribe and run managed agents from the shell

The Google AI Studio team released an experimental preview of the Gemini API CLI (command name gemini-api). It is a stateless, zero-dependency Go binary for macOS, Linux and Windows, open source under Apache 2.0. Any coding agent with shell access and a GEMINI_API_KEY can call text reasoning, image, video, music and speech generation, file and YouTube analysis, audio and video transcription, and managed agents such as Deep Research with one command. Media is written straight to disk and only the file path goes to stdout, so base64 payloads never land in the context window. Google labels it experimental and not a supported Google product.

Google previews Gemini API CLI (gemini-api), a zero-dependency Go binary that lets Claude Code, Codex, Cursor and other coding agents generate media, transcribe and run managed agents from the shell

Key Takeaways

  • Default models (official README): gemini-3.8-flash for generate, analyze and transcribe; gemini-nano-banana-2.1 for image; gemini-omni-1.1-flash for video; lyria-3.5 for music; gemini-3.8-flash-tts for speech
  • Install with a one-line curl script on macOS/Linux, a PowerShell script on Windows, or go install; the latest GitHub release is v0.4.3 (published 2026-10-19)
  • Built for agents: --usage prints the command tree as KDL, --schema prints JSON Schema, --dry-run validates offline with credentials redacted, plus --output-format json/toon and inline --jq
  • Exit codes separate 4 cases: 0 success, 1 runtime/API failure, 2 usage or validation error, 3 auth failure; --agent-mode emits structured JSON errors
  • It also manages sandbox environments, server-side credentials, webhooks and cron triggers for managed agents; files uploaded via the Files API are kept for 48 hours
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Linked Models & Agents:
⚡ Gemini 3.8 Flash⚡ Gemini Nano Banana 2.1⚡ Gemini Omni 1.1 Flash⚡ Lyria 3.5⚡ Gemini 3.8 Flash TTS🤖 Gemini API CLI🤖 Claude Code🤖 Codex🤖 Cursor🤖 Antigravity🤖 Deep Research🌐 Google
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Claude Code 2.1.304 adds guided /auto-mode-setup and warns Pro/Max users before resuming an inactive conversation would eat into the 5-hour usage limit

Claude Code v2.1.304 (Oct 19 UTC) adds /auto-mode-setup, a guided setup that reads your project and recent sessions to teach auto mode about your environment, now also on Bedrock, Vertex, Foundry, Claude apps gateway and telemetry-disabled sessions. It adds a read-only /claude-api managed-agents-secure check against Anthropic's security guide, warns Pro/Max users when resuming an inactive conversation would use a noticeable share of the 5-hour limit, and fixes 40+ issues including claude --worktree deleting a worktree and branch without asking, which could lose commits.

Key Takeaways

  • New /auto-mode-setup reads your project and recent sessions to teach auto mode your environment, now on Bedrock, Vertex, Foundry, Claude apps gateway and telemetry-disabled sessions
  • New read-only /claude-api managed-agents-secure compares a Managed Agents agent's settings with Anthropic's published security guide
  • Pro/Max plans get a warning when resuming an inactive conversation would use a noticeable share of the 5-hour usage limit
  • Mods gain decider: "person" and e.isReadOnly in tool.check, so only a human permission dialog can approve certain calls
  • 40+ fixes, incl. claude --worktree removing the worktree and branch without asking (could lose commits) and CLAUDE_CODE_AUTO_COMPACT_WINDOW=200k silently becoming 100K
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Claude Platform opens OpenTelemetry tracing beta: Messages API, Managed Agents and SDK spans flow to your own observability stack

On 2026-10-14 Anthropic put OpenTelemetry tracing for Claude Platform into public beta. Admins add a telemetry destination in the Claude Console and the API exports spans for Messages API requests and Managed Agents sessions server-side with no code changes, while the Claude SDKs export client-side spans for requests and tool-runner tools. Spans follow the OpenTelemetry gen_ai conventions and default to metadata (duration, status, token counts, model, tool names), with an optional full-content mode.

Claude Platform opens OpenTelemetry tracing beta: Messages API, Managed Agents and SDK spans flow to your own observability stack

Key Takeaways

  • Two paths: a server-side destination via Console/Admin API (Messages API + Managed Agents, no code changes) or client-side spans from the Claude SDK (overview)
  • Destinations need OTLP/HTTP with protobuf over HTTPS on port 443; the Admin API uses the anthropic-beta: telemetry-destinations-2026-08-11 header (API guide)
  • SDK tracing covers Python, TypeScript, Go and Java (anthropic-java 2.72.0+), and runs on Claude API, AWS, Bedrock, Google Cloud and Microsoft Foundry, all in beta (SDK guide)
  • Metadata-only or full-content modes; ZDR customers can still export full content for Messages API requests (held in memory until delivered); Managed Agents is not ZDR-eligible
  • Anthropic warns span names and SDK options may change during the beta, so pin SDK versions
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Claude Managed Agents dynamic workflows hit public beta: the lead agent writes an orchestration program running up to 64 concurrent threads and 1,000 agents per run

Anthropic expanded dynamic workflows in Claude Managed Agents to public beta. With workflows enabled in an agent's multiagent block, Claude writes a workflow program that runs many agents in background phases and combines their results, aimed at audits, migrations, deep research and cross-checking.

Key Takeaways

  • Enable with multiagent.type: "multiagent_20261001" and workflows: {"type":"enabled"} under the managed-agents-2026-04-01 beta header
  • Up to 64 threads working at once per run and 1,000 agents over a run's life (thread_limit_error beyond)
  • Runs last 24h by default; 10 open runs per session by default; runs don't nest
  • No separate run price: thread tokens bill at model rates and count toward the session budget, which pauses runs when reached
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Anthropic cuts Sonnet 5.5 cache reads to $0.10/MTok, adds $100–$200 monthly API credits to Max, ships Managed Agents automation playbook

Sonnet 5.5 cache hits now cost 0.05x base input ($0.10/MTok), which Anthropic says makes most agentic work ~20% cheaper. Max 5x/20x plans now include $100/$200 in monthly Claude API credits (Team $20–$100 per seat) usable on the API, Managed Agents and Agent SDK, alongside an official reference implementation for scheduled Managed Agents automations.

Key Takeaways

  • Sonnet 5.5 cache reads $0.20 to $0.10/MTok (0.05x base input); input $2 / output $10 unchanged; Opus 5.5 also 0.05x ($0.20/MTok)
  • Anthropic says ~20% cheaper on most agentic work; API only, Claude Code limits unchanged
  • Max 5x gets $100/mo, Max 20x $200/mo; Team $20 (Standard) / $100 (Premium) per seat, pooled up to $500; no rollover
  • Credits cover Claude API, Managed Agents, Agent SDK and playground, not Claude Code or app extra usage
  • Managed Agents bills tokens plus $0.08 per session-hour; official daily-brief template sets up via a Claude Code command
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DigitalOcean Agent Droplets: harness + inference + 16k tools in one monthly plan from $50/$200

On 2026-10-01 DigitalOcean launched Agent Droplets for Managed Agents (public preview): Pro $50/mo (15% off) and Team $200/mo (20% off) bundling Harness Runtime microVMs, DO-hosted open-model inference (Kimi K3, GLM 5.3), session storage, and Action Gateway (16,000+ tools). Works with Claude Code, Codex CLI, OpenCode. Paired with prepaid Inference and Agents Balance.

DigitalOcean Agent Droplets: harness + inference + 16k tools in one monthly plan from $50/$200

Key Takeaways

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Anthropic TS SDK 0.130 / Python 1.10: Admin analytics & plugin marketplaces; Organization API GA; MCP tunnels beta

Anthropic shipped @anthropic-ai/[email protected] and Python anthropic==1.10.0 on 2026-09-30: Admin API gains enterprise analytics, spend limits, RBAC groups/roles, Plugins/Plugin Marketplaces, and per-user usage/cost reports; Organization API endpoints go GA; MCP tunnels beta returns read-only transport plus one-time relay token on create; Managed Agents add refusal stop reason and repository error types.

Anthropic TS SDK 0.130 / Python 1.10: Admin analytics & plugin marketplaces; Organization API GA; MCP tunnels beta

Key Takeaways

  • Releases: TS sdk-v0.130.0 at 2026-09-30T18:29:28Z; Python v1.10.0 at 2026-09-30T18:28:45Z
  • Admin API: analytics, spend limits, RBAC, Plugins/Marketplaces, per-user usage/cost; compare
  • Organization API endpoints now GA; MCP tunnels beta adds read-only transport + one-time relay token
  • Managed Agents: refusal stop reason/stop_details on idle; repository error types
  • Install: npm i @anthropic-ai/[email protected] / pip install anthropic==1.10.0; docs https://docs.anthropic.com/en/api/admin-api
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Anthropic TypeScript SDK 0.129.0: claude-sonnet-5-5, between_tools thinking, start tool calls while the reply streams

Anthropic shipped @anthropic-ai/[email protected] on 2026-09-28 (36 commits ahead of 0.128.0): claude-sonnet-5-5, between_tools thinking, cache diagnostics GA, Managed Agents event type filters, ClientToolUnion, and optionally starting tool calls while the reply streams—plus streaming tokenizer/partial tool-input fixes. Mirrors the Python 1.9.0 surface for TS agents.

Anthropic TypeScript SDK 0.129.0: claude-sonnet-5-5, between_tools thinking, start tool calls while the reply streams

Key Takeaways

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Anthropic Python SDK 1.9.0: claude-sonnet-5-5, between_tools thinking, cache diagnostics GA, tools while reply streams

Anthropic shipped Python SDK v1.9.0 on 2026-09-28: adds claude-sonnet-5-5, between_tools thinking, GA cache diagnostics on Message/MessageCreateParams, and optional tool execution while the reply streams. Managed Agents event filters and workspace rate-limit include_inherited/source land too, plus unnamed upload and stream()/parse() diagnostics fixes.

Anthropic Python SDK 1.9.0: claude-sonnet-5-5, between_tools thinking, cache diagnostics GA, tools while reply streams

Key Takeaways

  • Shipped v1.9.0 — 31 commits vs v1.8.0; claude-sonnet-5-5 + between_tools thinking
  • Cache diagnostics GA on Message / MessageCreateParams; stream()/parse() accept diagnostics
  • Optional tool execution while the assistant reply streams
  • Upgrade: pip install -U "anthropic>=1.9.0" (Python 3.10+)
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Anthropic Python SDK 1.8.0: Claude Opus 5.5, inline tool definitions, MCP tool-list pinning (beta)

Anthropic shipped the official Python SDK v1.8.0 on 2026-09-22 (PyPI anthropic 1.8.0). Versus 1.7.0 it adds claude-opus-5-5, inline tool definitions, and MCP tool-list pinning (beta) into client types/runners; fixes a shared evaluated_permission enum across Managed Agents events, a Python 3.13 crash when a stream is left open at exit, immediate add_tools() effect, and stripping reply-only params from the tool runner compaction request. For stacks already on Opus 5.5 and MCP-managed tools, this is the typed client surface that matches the server features.

Anthropic Python SDK 1.8.0: Claude Opus 5.5, inline tool definitions, MCP tool-list pinning (beta)

Key Takeaways

  • Shipped: v1.8.0 / PyPI anthropic 1.8.0
  • Model id: claude-opus-5-5 on the typed client surface
  • Tools/MCP: inline tool definitions + MCP tool-list pinning (beta)
  • Stability: add_tools() applies immediately; Py3.13 open-stream exit fix; compaction omits reply-only params
  • Install: pip install anthropic==1.8.0; see Client SDKs docs
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Open Managed Agents open-sources a self-hosted managed-agent platform for Node, Docker, or Cloudflare

@DanKornas highlighted Open Managed Agents (github.com/openma-ai/open-managed-agents), an Apache-2.0 self-hosted platform for builders who want managed-agent workflows without vendor lock-in: durable sessions, sandboxed tools, memory, encrypted credentials, and crash recovery on Node+Docker or Cloudflare Workers, with Claude Managed Agents API and OpenAI SDK paths via /openai/v1.

Key Takeaways

  • Self-host managed-agent workflows with durable sessions, memory, and crash recovery.
  • Supports sandboxed tools, private tools, and MCP; bring your own model keys.
  • Runs on Node/Docker or Cloudflare Workers; Claude Managed Agents API and OpenAI SDK compatible.
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Google AI Studio introduces Managed Agents in the Gemini API with an updated harness, Files API, and managed credentials

Google AI Studio shared Managed Agents for the Gemini API, adding an updated agent harness, a Files API, and managed credentials. The combination brings long-running agent execution, file context, and credential handling into a managed path instead of forcing developers to assemble each control plane themselves.

Key Takeaways

  • The updated agent harness provides a more complete managed runtime for Gemini API agents.
  • The Files API adds a dedicated file-context surface for agent workflows.
  • Managed credentials reduce the operational burden of storing and rotating tool credentials in each app.
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Google AI Studio Unveils Managed Agents Architecture with Antigravity Preview Model

Google AI Studio introduced its Managed Agents architecture powered by the antigravity-preview-09-2026 model. The update features optimized prompt caching for software repositories and high-throughput File APIs for frictionless multi-turn agent interaction.

Key Takeaways

  • Deploys Managed Agents architecture with specialized antigravity-preview model
  • Repo-level prompt caching slashes repetitive codebase context costs by 80%
  • High-throughput File API allows seamless mounting of large multi-file projects
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Linked Models & Agents:
⚡ Antigravity Preview 09.2026🤖 Managed Agents🌐 Google

Google AI Studio launches Gemini API Managed Agents with Files and Credentials APIs

Google AI Studio launched an updated Managed Agents harness in the Gemini API. antigravity-preview-09-2026 is live in the Interactions API and AI Studio, giving agents isolated Linux execution, filesystem tools, web search, persistent environments, and MCP connectivity. The release also adds Files and Credentials APIs so developers can move artifacts between turns and connect external services without putting secrets in the model context.

Key Takeaways

  • antigravity-preview-09-2026 is live in the Interactions API and AI Studio, using Gemini 3.8 Flash by default with configurable models.
  • Managed agents run in persistent isolated Linux sandboxes with code execution, filesystem, web-search, and MCP tools.
  • Files handles artifact transfer while Credentials supports scoped bearer, environment-variable, and OAuth2 access without exposing plaintext secrets to the model.
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