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_instructions 9b371b1b5f Refactor agent delegation and tweak micro agents (#1910) 1 ano atrás
coder 9b371b1b5f Refactor agent delegation and tweak micro agents (#1910) 1 ano atrás
commit_writer 76abca361c feat: simplify state.history with to_memory call in micro-agent. Or the call to LLM may exceed the token limit. (#1806) 1 ano atrás
manager 76abca361c feat: simplify state.history with to_memory call in micro-agent. Or the call to LLM may exceed the token limit. (#1806) 1 ano atrás
math_agent 9b371b1b5f Refactor agent delegation and tweak micro agents (#1910) 1 ano atrás
postgres_agent 9b371b1b5f Refactor agent delegation and tweak micro agents (#1910) 1 ano atrás
repo_explorer 76abca361c feat: simplify state.history with to_memory call in micro-agent. Or the call to LLM may exceed the token limit. (#1806) 1 ano atrás
study_repo_for_task 3b0e1361a4 fix typos (#2267) 1 ano atrás
typo_fixer_agent 9b371b1b5f Refactor agent delegation and tweak micro agents (#1910) 1 ano atrás
verifier 9b371b1b5f Refactor agent delegation and tweak micro agents (#1910) 1 ano atrás
README.md c7dd443fa2 CoderAgent: Render summary prompt conditionally (#1461) 1 ano atrás
agent.py 9b371b1b5f Refactor agent delegation and tweak micro agents (#1910) 1 ano atrás
instructions.py f8d4b1ab0d Use generic types (#1680) 1 ano atrás
registry.py 9b371b1b5f Refactor agent delegation and tweak micro agents (#1910) 1 ano atrás

README.md

Introduction

This package contains definitions of micro-agents. A micro-agent is defined in the following structure:

[AgentName]
├── agent.yaml
└── prompt.md

Note that prompt.md could use jinja2 template syntax. During runtime, prompt.md is loaded and rendered, and used together with agent.yaml to initialize a micro-agent.