# July 2025

1. #### Basic Agent Interface (LangChain)

   Introduced a basic agent interface built on LangChain to simplify agent creation, execution, and integration.
2. #### Multi-agent Interface (LangGraph, LangChain, and Google ADK)

   Added support for multi-agent orchestration using LangGraph, LangChain, and Google ADK, enabling complex agent collaboration patterns.
3. #### MCP Interface (Google ADK and LangChain) with Podman Support

   Introduced an MCP interface compatible with Google ADK and LangChain, with Podman support for improved containerized execution.
4. #### A2A Interface (Google ADK and LangChain) with Podman Support

   Added an Agent-to-Agent (A2A) interface supporting Google ADK and LangChain, enabling direct agent communication with Podman-based execution.
5. #### BOSA Support

   Enabled BOSA support across the platform to expand tool interoperability and integration capabilities.

   1. #### BOSA Core – Logger (Anonymized Logging)

      Introduced anonymized logging in BOSA Core to improve observability while protecting sensitive data.
   2. #### BOSA Connector

      Added a BOSA Connector to simplify integration between agents and BOSA-powered services.
   3. #### BOSA Observability Tools for GLLM Agents (FastAPI)

      Introduced FastAPI-based observability tools for GLLM agents to enable monitoring, debugging, and performance analysis.
   4. #### BOSA Tools Interface for GLLM Agents

      Added a standardized tools interface to allow GLLM agents to seamlessly discover and invoke BOSA tools.
6. #### Simplified MCP Hello World and New GitBook Publication

   Simplified the MCP “Hello World” example and published updated documentation in a new GitBook covering LangChain, LangGraph, and Google ADK.
7. #### Demo AIP

   Released a demo version of AIP to showcase core capabilities, integrations, and agent workflows.
8. #### Overtime Agent Improvements Due to Organization Changes

   Continuously improved agent behavior and logic to adapt to evolving organizational structures and workflows.
9. #### Stress Test Agent Improvements

   Improved agent stability and performance under high-load scenarios through enhanced stress testing and optimization.
10. #### Benchmarking Open-source LLMs Using Agent Runner

    Added benchmarking for open-source LLMs using the Agent Runner, with initial recommendations such as Qwen / Qwen3-32B-AWQ.
11. #### Weekly Report Agent Integration with BOSA Connector (Google Drive)

    Integrated the Weekly Report Agent with the BOSA Connector for Google Drive to enable automated report generation and synchronization.
12. #### Enable Model Switching with LM Invoker on LangChain Agent

    Added an LM Invoker to LangChain agents to allow dynamic switching between language models at runtime.
13. #### Integration with GLChat Admin Dashboard via GL AIP Endpoints

    Integrated agents, tools, MCP, and runner management into the GLChat Admin Dashboard using GL AIP endpoints.