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amazon-bedrock-agentcore-sa.../02-use-cases/market-trends-agent/pyproject.toml

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feat(market-trend-agent): market trends agent added (LangGraph sample) (#306) * Add Market Trends Agent with Bedrock AgentCore browser integration - Implements Strands-based agent for real-time stock data and business news - Uses Bedrock AgentCore browser_client for web scraping - Includes tools for Yahoo Finance stock data and Bloomberg news search - Features professional market analysis with AI-powered insights - Supports concurrent browser sessions for multiple stock comparisons - Complete with tests, documentation, and clean requirements * feat: Add Market Trends Agent with AgentCore integration - Implement conversational broker card system with memory integration - Add browser automation for real-time market data and news - Create LangGraph-based agent architecture with tool orchestration - Include deployment scripts and comprehensive documentation - Add test scripts demonstrating broker profile workflow - Configure Docker containerization for AgentCore Runtime * feat: optimize memory management and fix deployment issues - Fix memory creation to check existing memory first, eliminating ValidationException errors - Extract memory tools into separate module for better organization - Update deployment script with enhanced error handling and IAM permissions - Add architecture documentation and diagrams - Successfully deployed to burner account with Claude Sonnet 4 and multi-strategy memory * fix: remove unsupported auto_update_on_conflict parameter and enable dynamic config - Remove auto_update_on_conflict parameter from runtime.launch() call - Allow .bedrock_agentcore.yaml to be generated dynamically by deploy script - Successfully deployed to burner account (484363822803) with Claude Sonnet 4 - All tests passing: 4/4 (100% success rate) - Agent fully functional with memory, market data, and news search capabilities * fix:image link in readme * fix:replaced image * fix: resolve all linting errors and code quality issues - Remove unused imports: tool, MemoryClient, ClientError, argparse, json, os, datetime, Any, re - Fix f-strings without placeholders by converting to regular strings - Remove unused variables: config_response, launch_result - Clean up code to pass GitHub checks and improve maintainability Fixes: - deploy.py: 4 issues (f-strings + unused variables) - market_trends_agent.py: 6 unused imports - test_broker_card.py: 2 issues (unused import + f-string) - tools/broker_card_tools.py: 2 unused imports - tools/memory_tools.py: 3 issues (unused import + 2 f-strings) * Changes to be committed: modified: 02-use-cases/market-trends-agent/.gitignore modified: 02-use-cases/market-trends-agent/tools/memory_tools.py * fix: add back datetime import needed for session_id generation The datetime import was accidentally removed but is still needed on line 27 for creating session IDs in the format 'market-{datetime.now().strftime('%Y%m%d%H%M%S')}'. * refactor: remove Dockerfile from repo, let deployment auto-generate - Remove Dockerfile from version control - Add Dockerfile to .gitignore - Deployment script will auto-generate Dockerfile with proper defaults - Reduces repo clutter while maintaining deployment functionality - Auto-generated Dockerfile will include necessary configurations * Add uv support and fix news source reliability - Add pyproject.toml with uv configuration - Update README to use only uv commands - Fix Reuters and CNBC URL issues with better error handling - Add interactive chat instructions for users - Improve browser tool with retry logic and reliable fallbacks" * Fix memory management and add uv integration - Fix broker identity confusion by enforcing identify_broker() workflow - Improve actor_id consistency across memory operations - Add enhanced error handling for news sources (Reuters/CNBC 503 errors) - Add uv integration with pyproject.toml for faster dependency management - Streamline README to uv-only workflow with interactive chat instructions - Add reliable fallback news sources (Yahoo Finance, MarketWatch) * Fix broker identification workflow and message filtering - Enhanced system prompt to enforce mandatory broker identification - Fixed tool_use/tool_result message pairing in filtering logic - Added comprehensive test suite for broker memory storage - Verified multi-strategy memory works for Tim Dunk and Maria Rodriguez * Implement distributed memory coordination using SSM Parameter Store - Added SSM Parameter Store for distributed memory ID coordination - Enhanced race condition protection for deployment scenarios - Updated IAM permissions to include SSM parameter access - Prevents multiple memory instances during AgentCore deployment - Maintains backward compatibility with local .memory_id file * Add comprehensive cleanup script and documentation - Created cleanup.py script to remove all deployed AWS resources - Cleans up AgentCore runtime, memory, ECR, CodeBuild, S3, IAM, SSM - Added safety features: dry-run mode, confirmation prompts, detailed logging - Updated README with complete cleanup section and troubleshooting - Tested cleanup successfully removes all resources except runtime (manual) - Supports selective cleanup options (--skip-iam, --region, --dry-run) * fix: resolve all lint errors in market trends agent - Remove unused imports (json, time, extract_actor_id) - Fix f-strings without placeholders in browser_tool.py - Replace bare except clauses with specific exception handling - Add proper logging for exception cases - All files now pass ruff lint checks --------- Signed-off-by: Erez Weinstein <125476602+erezweinstein5@users.noreply.github.com> Co-authored-by: Erez Weinstein <erweinst@amazon.com>
2025-09-04 20:26:50 +03:00
[project]
name = "market-trends-agent"
version = "0.1.0"
description = "Intelligent financial analysis agent using Amazon Bedrock AgentCore"
readme = "README.md"
requires-python = ">=3.10"
dependencies = [
"langgraph",
"langchain-aws",
"langchain-core",
"boto3",
"playwright",
"bedrock-agentcore",
"bedrock-agentcore-starter-toolkit",
]
[project.optional-dependencies]
dev = [
"pytest",
"black",
"flake8",
"mypy",
]
[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
[tool.uv]
dev-dependencies = [
"pytest>=7.0.0",
"black>=23.0.0",
"flake8>=6.0.0",
"mypy>=1.0.0",
]
[tool.black]
line-length = 88
target-version = ['py310']
[tool.mypy]
python_version = "3.10"
warn_return_any = true
warn_unused_configs = true
disallow_untyped_defs = true
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