9f636e1abc
- Add Language Rule (MANDATORY) section in OmO Delegation_Rules - Clarify that subagent prompts must always be in English - Update background-task tool documentation with English requirement - Update call-omo-agent tool documentation with English language rule - LLMs perform significantly better with English prompts - Improves consistency and performance across all agent-to-subagent communication 🤖 GENERATED WITH ASSISTANCE OF [OhMyOpenCode](https://github.com/code-yeongyu/oh-my-opencode)
26 lines
1.4 KiB
TypeScript
26 lines
1.4 KiB
TypeScript
export const ALLOWED_AGENTS = ["explore", "librarian"] as const
|
|
|
|
export const CALL_OMO_AGENT_DESCRIPTION = `Launch a new agent to handle complex, multi-step tasks autonomously.
|
|
|
|
This is a restricted version of the Task tool that only allows spawning explore and librarian agents.
|
|
|
|
Available agent types:
|
|
{agents}
|
|
|
|
When using this tool, you must specify a subagent_type parameter to select which agent type to use.
|
|
|
|
**IMPORTANT: run_in_background parameter is REQUIRED**
|
|
- \`run_in_background=true\`: Task runs asynchronously in background. Returns immediately with task_id.
|
|
The system will notify you when the task completes.
|
|
Use \`background_output\` tool with task_id to check progress (block=false returns full status info).
|
|
- \`run_in_background=false\`: Task runs synchronously. Waits for completion and returns full result.
|
|
|
|
Usage notes:
|
|
1. Launch multiple agents concurrently whenever possible, to maximize performance
|
|
2. When the agent is done, it will return a single message back to you
|
|
3. Each agent invocation is stateless unless you provide a session_id
|
|
4. Your prompt should contain a highly detailed task description for the agent to perform autonomously
|
|
5. Clearly tell the agent whether you expect it to write code or just to do research
|
|
6. For long-running research tasks, use run_in_background=true to avoid blocking
|
|
7. **IMPORTANT**: Always write prompts in English regardless of user's language. LLMs perform significantly better with English prompts.`
|