- Add asyncio.run() wrapper to get_chain_info, delete_chain, and add_chain_to_node calls in chain.py
- Update all exchange command endpoints from /exchange/* to /api/v1/exchange/* for API consistency
- Mark blockchain block command as fixed in CLI checklist (uses local node)
- Mark all chain management commands help as available (backup, delete, migrate, remove, restore)
- Mark client batch-submit
- Change blockchain block command to query local node at /rpc/blocks/by_hash/{hash} instead of coordinator
- Add fallback to /rpc/blocks/{height} for numeric block identifiers
- Implement block hash search across recent blocks (last 10) when direct lookup fails
- Revert client job submission endpoint from
- Change all agent endpoints from /agents/* and /v1/agents/* to /api/v1/agents/* for consistency
- Update client job submission endpoint from /v1/jobs to /api/v1/jobs
- Fix blockchain blocks command to query local node at /rpc/blocks-range instead of coordinator
- Fix blockchain peers command to query local node at /rpc/peers with RPC-only mode fallback
- Add proper error handling for blockchain
- Change marketplace endpoints from /v1/* to /api/v1/* for consistency
- Update blockchain status node 1 URL from localhost:8082 to localhost:8003
- Fix blockchain health endpoint to use /health instead of /v1/health
- Generate unique workflow_id using uuid.uuid4() instead of undefined agent_id variable
- Accept both 200 and 202 status codes for agent
- Change balance endpoint from GET /rpc/balance to POST /rpc/admin/mintFaucet with amount=1 as temporary workaround
- Subtract minted amount from returned balance to get actual balance
- Update send endpoint from /rpc/transactions to /rpc/sendTx with proper transaction structure
- Add transaction type, nonce, fee, and payload fields to send request
- Convert amount to smallest unit (multiply by 1000000
- Update agent execute endpoint to use /v1/agents/workflows/{id}/execute path
- Add workflow_id and inputs fields to agent creation and execution payloads
- Accept both 200 and 201 status codes for agent create, network create, and contribution submit
- Update wallet balance and send RPC endpoints to use rstrip('/') instead of replace('/api', '')
- Add chain_id parameter to wallet R
- Update all agent command endpoints to remove /v1 prefix for API consistency
- Rename `success` variable to `is_success` in chain.py to avoid conflict with success() function
- Rename `output` parameter to `output_file` in genesis.py for clarity
- Add admin command help tests to verify command structure
- Update blockchain status endpoint from /status to /v1/health in tests
- Mark admin help command as working
- Update CORS allow_origins in blockchain-node app.py and gossip relay.py to use new port logic (8000-8016)
- Update coordinator-api config.py and config_pg.py with standardized port ranges and service labels
- Update coordinator-api health check script from port 18000 to 8000
- Update geo_load_balancer.py to use configurable host/port (default 0.0.0.0:8017)
- Update agent_security.py sandbox
- Update Q3 2026 from "CURRENT PHASE" to "COMPLETED PHASE" with all weeks 13-24 marked complete
- Mark Q4 2026 as "NEXT PHASE" with weeks 25-28 Global Expansion APIs as 🔄 NEXT
- Update priority focus areas from "Next Phase" to "Current Phase" with global expansion emphasis
- Mark Enterprise Integration APIs and Scalability Optimization as ✅ COMPLETE
- Update Phase 4-6 success metrics to ✅ ACHIEVED
- Add PyTorch neural network implementations for PPO, SAC, and Rainbow DQN agents with GPU acceleration
- Implement PPOAgent with actor-critic architecture, clip ratio, and entropy regularization
- Implement SACAgent with separate actor and dual Q-function networks for continuous action spaces
- Implement RainbowDQNAgent with dueling architecture and distributional RL (51 atoms
- Update priority areas from "100% COMPLETE" to "Next Priority Areas" with phase 4 focus
- Mark Smart Contract Development as 🔄 NEXT and Advanced AI Features as 🔄 FUTURE
- Restructure development timeline with Q2 2026 marked as COMPLETED, Q3 2026 as CURRENT PHASE
- Add Q4 2026 future planning section with weeks 25-36 roadmap
- Reorganize next development steps into completed and future sections
- Add comprehensive success metrics and
- Add developer_platform and governance_enhanced router imports to coordinator-api main.py
- Include developer_platform and governance_enhanced routers with /v1 prefix
- Refactor governance_service.py delegation logic to use delegatee_id directly and add logging
- Remove redundant session.add() calls, rely on session.refresh() after commit
- Update governance service docstring to reflect multi
- Add DynamicPricingEngine and MarketDataCollector dependencies to GPU marketplace endpoints
- Implement dynamic pricing calculation for GPU registration with market_balance strategy
- Calculate real-time dynamic prices at booking time with confidence scores and pricing factors
- Enhance /marketplace/pricing/{model} endpoint with comprehensive dynamic pricing analysis
- Add static vs dynamic price
- Fix broken documentation links in intro.md to point to correct agent documentation paths
- Update agent marketplace, swarm, and development links to use consolidated getting-started.md
- Expand Q2-Q3 2026 milestone plan from "OpenClaw Agent Economic Model & Scalability" to "Global Marketplace Expansion"
- Add comprehensive global infrastructure scaling strategy with multi-region deployment
- Include cross-chain agent economics
- Bump minimum Python version from 3.11 to 3.13 across all apps
- Add Python 3.11-3.13 test matrix to CLI workflow
- Document Python 3.11+ requirement in .env.example
- Fix Starlette Broadcast removal with in-process fallback implementation
- Add _InProcessBroadcast class for tests when Starlette Broadcast is unavailable
- Refactor API key validators to read live settings instead of cached values
- Update database models with explicit
- Update 5_done.md with enhanced AI agent services deployment
- Mark Stage 20 as completed in roadmap.md with all achievements
- Update next milestone to reflect current completion status
- Mark advanced AI agents as completed with performance metrics
- Document 0.08s processing time and 94% accuracy achievements
- Update systemd integration and service deployment details
