Add AI agents patterns#1447
Open
degen59 wants to merge 1 commit into
Open
Conversation
Collaborator
🟡 Heimdall Review Status
|
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
What changed? Why?
Add a concise, practical guide to "Common Patterns for Onchain AI Agents" in the ai-agents section (or a fitting subfolder like skills or quickstart), focusing on reusable, cross-cutting patterns that leverage Base-specific features.
This fits the docs structure (no new top-level sections), review checklist, and style guidelines. It builds on existing AI/agent momentum (resources-for-ai-agents.mdx, ai-agents/ folder with payments/trading/setup/skills, MCP/llms.txt support, etc.) without duplicating third-party tools.
Base emphasizes AI agents (dedicated section, MCP server, skills repo, prompt library, resources page). Issues/PRs often involve fixes for examples, clarity on wallets/payments, and deployment. Recent activity shows focus on runnable code, AI-friendliness, and Base-unique features (Flashblocks, Base Account, x402 payments).
Existing content has setup/quickstarts/skills, but developers building autonomous agents benefit from battle-tested patterns (e.g., reliable signing + retry logic for agents, low-latency tx with Flashblocks, agent-to-agent identity/payments, error recovery). Cookbook-style but kept Base-focused and in ai-agents/.
AI-friendly (explicit, copy-paste runnable), promotes happy paths with brief alternatives, cross-links heavily. Helps LLMs/agents follow it directly.
Notes to reviewers
High-level outline:
Introduction: Why patterns matter for reliable autonomous agents on Base.
Wallet & Signing Patterns (autonomous safe signing, session keys, Base Account integration).
Transaction Patterns (Flashblocks for speed, batching, retry + gas estimation).
Payments & x402 Integration.
Error Handling & Monitoring (common pitfalls, Basescan/ indexers).
Agent Identity & Interoperability.
Example Full Agent Snippet (minimal viable onchain loop).
Next Steps (link to skills, full examples).