Agent Context Isolation
中文简介正在准备中。当前显示原文说明。
Fast file editing via Morph Apply API (10,500 tokens/sec, 98% accuracy)
中文简介正在准备中。当前显示原文说明。
查看安装方法安装前可以查看交给 AI 代理的指令内容。
Fast, AI-powered file editing using the Morph Apply API. Edit files without reading them first. Processes at 10,500 tokens/sec with 98% accuracy.
Use // ... existing code ... (or language-appropriate comments) to mark where edits go:
# ... existing code ...
try:
result = process()
except Exception as e:
log.error(e)
# ... existing code ...
The API intelligently places your edit in the right location.
uv run python -m runtime.harness scripts/mcp/morph_apply.py \
--file "src/auth.py" \
--instruction "Add error handling to login function" \
--code_edit "# ... existing code ...
try:
user = authenticate(credentials)
except AuthError as e:
log.error(f'Auth failed: {e}')
raise
# ... existing code ..."
uv run python -m runtime.harness scripts/mcp/morph_apply.py \
--file "src/api.py" \
--instruction "Add debug logging" \
--code_edit "# ... existing code ...
logger.debug(f'Processing request: {request.id}')
# ... existing code ..."
uv run python -m runtime.harness scripts/mcp/morph_apply.py \
--file "src/types.ts" \
--instruction "Add user validation" \
--code_edit "// ... existing code ...
if (!user) throw new Error('User not found');
if (!user.isActive) throw new Error('User inactive');
// ... existing code ..."
| Parameter | Description |
|---|---|
--file | File path to edit (required) |
--instruction | Human description of the change (required) |
--code_edit | Code snippet with markers showing where to place edit (required) |
| Tool | Best For |
|---|---|
| morph-apply | Fast edits, don't need to read file first, large files, batch edits |
| Claude Edit | Small precise edits when file is already in context |
Use morph-apply when:
Use Claude Edit when:
Requires morph server in mcp_config.json with MORPH_API_KEY.
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Agent Context Isolation
中文简介正在准备中。当前显示原文说明。
Agent Orchestration Rules
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Agentic Workflow Pattern
中文简介正在准备中。当前显示原文说明。
Guide for integrating Agentica SDK with Claude Code CLI proxy
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Reference guide for Agentica multi-agent infrastructure APIs
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Write reliable prompts for Agentica/REPL agents that avoid LLM instruction ambiguity
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