Merge valuable upstream updates from moondevonyt/moon-dev-ai-agents #3
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Added high-value features and agents: 🤖 New Agents (9): - websearch_agent: AI-driven web searches for trading strategies - prompt_agent: Prompt enhancement using best practices - polymarket_agent: Prediction markets analysis and trading - housecoin_agent: Housecoin-specific trading agent - swarm_agent: Multi-agent swarm coordination - video_agent: Video content creation with Sora 2 - rbi_agent_pp: Enhanced RBI with performance tracking - rbi_agent_pp_multi: Multi-data RBI testing framework - example_unified_agent: Example of unified agent pattern 🔧 Core Improvements: - Model Factory: Re-enabled Gemini 2.5 models with better OpenRouter integration - Base Agent: Enhanced agent foundation with better error handling - API Module: Extended API support for more data sources - RBI Agent v3: Added multi-data testing framework support 📚 Documentation (15+ new docs): - Claude Skills: Complete skill development documentation - Backtest Dashboard: Visualization guides - Polymarket: Complete polymarket agent docs - Extended Exchange: Multi-exchange support docs - Hyperliquid: Migration and quickstart guides - Individual agent documentation for all new agents 🎯 Benefits for MT5/Forex Trading: - Websearch agent can research forex strategies - Prompt agent helps optimize MT5 agent prompts - Enhanced model factory supports more AI providers - Better base agent foundation improves all agents - Multi-data testing framework valuable for forex backtesting Stats: 34 files changed, 15,306 insertions(+), 241 deletions(-)
Added documentation for 18 agents: - chartanalysis_agent, chat_agent, compliance_agent - copybot_agent, funding_agent, liquidation_agent - million_agent, openrouter, realtime_clips_agent - research_agent, risk_agent, sentiment_agent - sniper_agent, solana_agent, strategy_agent - swarm_agent, trading_agent, tweet_agent This completes the documentation coverage for all agents.
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Caution Review failedThe pull request is closed. WalkthroughThis PR substantially expands Moon Dev's AI trading agents ecosystem with comprehensive documentation, eight new agent implementations (Housecoin DCA, Polymarket prediction, Prompt enhancement, Swarm consensus, Video generation, Web search research, and two RBI parallel variants), integration of a unified exchange manager supporting multiple protocols, extended API endpoints for position and liquidation data, and model provider updates enabling Gemini 2.5 and OpenRouter integration. Changes
Sequence Diagram(s)sequenceDiagram
participant User
participant BaseAgent
participant ExchangeManager
participant SolanaExch as Solana Exchange
participant HyperLiquidExch as HyperLiquid Exchange
User->>BaseAgent: Initialize with use_exchange_manager=True
BaseAgent->>ExchangeManager: Instantiate from config.EXCHANGE
alt Exchange = 'solana'
ExchangeManager-->>SolanaExch: Load Solana provider
SolanaExch-->>ExchangeManager: Ready
else Exchange = 'hyperliquid'
ExchangeManager-->>HyperLiquidExch: Load HyperLiquid provider
HyperLiquidExch-->>ExchangeManager: Ready
end
ExchangeManager-->>BaseAgent: em instance + exchange type
User->>BaseAgent: Call unified method (e.g., get_balance())
BaseAgent->>ExchangeManager: Route call to active exchange
alt Active Exchange Path
ExchangeManager->>SolanaExch: Execute Solana-specific logic
SolanaExch-->>ExchangeManager: Return result
else Active Exchange Path
ExchangeManager->>HyperLiquidExch: Execute HyperLiquid-specific logic
HyperLiquidExch-->>ExchangeManager: Return result
end
ExchangeManager-->>BaseAgent: Unified result
BaseAgent-->>User: Response (exchange-agnostic)
sequenceDiagram
participant Queue as Idea Queue
participant Worker as Worker Thread
participant Model as AI Model (DeepSeek)
participant Backtest as Backtest Executor
participant CSV as Stats CSV
loop For Each Idea
Queue->>Worker: Dequeue trading idea
Worker->>Model: Research (strategy analysis)
Model-->>Worker: Research output
Worker->>Model: Generate backtest code
Model-->>Worker: Backtest code
Worker->>Backtest: Execute backtest
Backtest-->>Worker: Returns (stats, output)
alt Returns >= TARGET_RETURN
Worker->>CSV: Log successful stats
Worker->>Worker: Save backtest to FINAL/
else Returns < TARGET_RETURN
Worker->>Model: Debug (analyze failure)
Model-->>Worker: Debug suggestions
Worker->>Model: Optimize code
Model-->>Worker: Optimized code
Worker->>Backtest: Re-execute
Backtest-->>Worker: Updated stats
Worker->>CSV: Log iteration stats
end
end
sequenceDiagram
participant WS as WebSocket
participant Queue as Market Queue
participant SwarmPool as Model Pool
participant Model1 as Model 1
participant Model2 as Model 2
participant ModelN as Model N
participant Consensus as Consensus AI
participant CSV as CSV Output
WS->>Queue: Stream live trades & markets
Queue->>SwarmPool: Enqueue market for analysis
par Parallel Queries
SwarmPool->>Model1: Market analysis prompt
SwarmPool->>Model2: Market analysis prompt
SwarmPool->>ModelN: Market analysis prompt
end
par Collect Responses
Model1-->>SwarmPool: Prediction + confidence
Model2-->>SwarmPool: Prediction + confidence
ModelN-->>SwarmPool: Prediction + confidence
end
SwarmPool->>Consensus: Aggregate responses + original prompt
Consensus-->>SwarmPool: Consensus summary + top 3 picks
SwarmPool->>CSV: Save consensus_picks.csv
SwarmPool-->>CSV: Update predictions.csv
Estimated code review effort🎯 4 (Complex) | ⏱️ ~60 minutes Areas requiring extra attention:
Possibly related PRs
Poem
✨ Finishing touches
🧪 Generate unit tests (beta)
📜 Recent review detailsConfiguration used: CodeRabbit UI Review profile: CHILL Plan: Pro 📒 Files selected for processing (52)
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Added high-value features and agents:
🤖 New Agents (9):
🔧 Core Improvements:
📚 Documentation (15+ new docs):
🎯 Benefits for MT5/Forex Trading:
Stats: 34 files changed, 15,306 insertions(+), 241 deletions(-)
Summary by CodeRabbit
Release Notes
New Features
Documentation
Enhancements