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Roadmap

This document outlines the planned upgrades and enhancements for the LangGraph ReAct Agent template.

v0.3.0 - Prototyping & Deployment Infrastructure (Planning)

Reference: LangGraph Platform Standalone Server Deployment

LangGraph Platform Standalone Server (Prototyping)

  • Template Integration: Pre-configured deployment files directly in template for immediate developer use
  • Self-Hosted Setup: Complete standalone server configuration following official LangGraph Platform guidelines
  • Container Setup: Docker builds optimized for LangGraph Platform standalone server deployment

Deployment Configurations in Template

  • Docker Compose: Ready-to-use docker-compose.yml for local and prototype standalone server deployments
  • Kubernetes Manifests: K8s deployment configurations with ConfigMaps, Secrets, and service definitions for prototype environments
  • Development Workflow: Seamless transition from local development (make dev) to containerized prototyping

v0.2.0 - Multi-Provider Evaluation Framework (Completed)

SiliconFlow Integration ✅

  • Provider Support: Added standalone SiliconFlow provider with ChatSiliconFlow integration in load_chat_model
  • Regional Coverage: Full support for both PRC and international API endpoints via REGION environment variable
  • SOTA OSS Models: Integrated Qwen/Qwen3-8B, GLM-4-9B, and GLM-Z1-9B models for comprehensive evaluation

Comprehensive Agent Evaluation System ✅

  • AgentEvals Framework: Complete implementation using AgentEvals with LLM-as-judge methodology
  • Dual Evaluation Approach:
    • Graph Trajectory Evaluation: Scenario-specific LLM-as-judge with custom rubrics for reasoning pattern analysis
    • Multi-turn Chat Simulation: Role-persona interactions with adversarial testing capabilities
  • LangSmith Integration: Full evaluation tracking with OpenEvals aevaluate integration
  • Production-Ready Suite: Comprehensive evaluation commands via Makefile with detailed reporting and scoring systems

v0.1.0 - Core Infrastructure Enhancements (Completed)

Dynamic Tool Integration

  • DeepWiki MCP Integration: Added dynamic loading of DeepWiki MCP tools for open source documentation
  • Tool Discovery: Implemented runtime tool loading with graceful fallback when services unavailable
  • Configuration Toggle: Added enable_deepwiki flag for optional documentation tool integration

Model Provider Expansion

  • Qwen Integration: Full support for Qwen models via langchain-qwq with QwQ/QvQ reasoning models
  • Regional API Support: Dynamic base URL selection for PRC/international endpoints via REGION env var
  • Multi-Provider Architecture: Unified model loading supporting OpenAI-compatible and Qwen-specific providers

Code Architecture Refactoring

  • Common Module: Extracted shared components (context, models, tools, utils, prompts) into reusable common/ module
  • Modular Agent Structure: Prepared scalable architecture supporting multiple agents under src/
  • Tool Naming: Renamed search to web_search for API compatibility

Comprehensive Test Suite

  • 60+ Test Cases: Complete coverage across unit/integration/e2e categories with structured test data
  • ReAct Pattern Validation: E2E tests verifying tool-model interaction loops
  • Error Handling Coverage: Extensive edge case and failure mode testing

Development Tools

  • Development Server: make dev and make dev_ui commands for LangGraph development
  • Test Organization: Structured test commands with watch modes for unit/integration/e2e testing
  • Async Test Support: Proper pytest-asyncio configuration

Each version builds upon the previous foundation, progressively enhancing the agent's capabilities, developer experience, and testing infrastructure.