AI Coding Live News — Real-Time 𝕏/Twitter Updates & Breakthroughs

LangChain@langchain-ai·Collected 41d ago

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LangSmith SDK 0.14.2: Python ls.address agent handle, JS OTel tool fields, primary replica keeps original run ids

LangSmith SDK v0.14.2 (2026-09-30): Python ls.address (#3581), JS OTel tool fields (#3592), primary replica keeps original run ids (#3623).

Key Takeaways

Release v0.14.2 at 2026-09-30T14:41:07Z; PyPI langsmith 0.14.2
Python ls.address agent addressing (#3581)
JS OTel tool name/call_id/definitions (#3592)
Only primary write replica keeps original run ids (#3623)
Compare ahead_by 8; docs https://docs.smith.langchain.com/

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Linked Models & Agents:

🌐 LangChain 🌐 LangSmith

#Langsmith#Langchain#Otel#Observability#Agents#Release#Python

LangChain@LangChainAI·Collected 43d ago

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LangSmith SDK 0.14.1: address runs/feedback by agent, sandbox delegated login, Claude SDK + OTel trace fields

LangChain shipped LangSmith Python SDK 0.14.1 on 2026-09-25 (rolling in 0.14.0): address runs and feedback by agent rather than only by project; sandboxes can receive delegated LangSmith access and login service URLs (JS too); ClaudeSDKClient.receive_messages() is traced with stop_reason plus tool/response IDs; OTel exports add tool_call_id, tool_definitions, and finish_reasons. JS package moves to 0.10.5.

Key Takeaways

Shipped: Python 0.14.1 / JS 0.10.5 — pip install -U langsmith
Address runs and feedback by agent, not only by project
Sandboxes get delegated LangSmith access + login/service URLs
ClaudeSDKClient.receive_messages() traced with stop_reason and tool/response IDs
OTel exports tool_call_id, tool_definitions, finish_reasons; list_runs can return s3_urls attachments

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Linked Models & Agents:

🤖 LangSmith 🤖 Claude-Code 🤖 LangChain 🌐 LangChain 🌐 Anthropic

#LangSmith#LangChain#OTel#Claude-SDK#Sandbox#Observability#Tracing

OpenHands@OpenHandsDev·Collected 71d ago

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OpenHands introduces Agent Client Protocol (ACP) for universal execution across Canvas, SDK, and Cloud

All-Hands AI introduced Agent Client Protocol (ACP) across OpenHands Agent Canvas, SDK, and Cloud. Under this open standard, any ACP-compatible coding agent can run through a single unified interface locally, remotely, or in the cloud, representing a major leap for open SWE agent interoperability.

Key Takeaways

Transforms OpenHands from a standalone agent into a universal multi-agent execution runtime.
Agent Canvas, Python SDK, and Cloud platform support ACP protocols on day one.
Unifies local, remote, and cloud APIs for composing heterogenous multi-agent workflows.

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Linked Models & Agents:

🤖 OpenHands (All-Hands AI)

#Openhands#Acp#Agent client protocol#Interoperability#Multi agent SDK