mirror of
https://github.com/shareAI-lab/analysis_claude_code.git
synced 2026-03-22 02:15:42 +08:00
93 lines
3.3 KiB
Markdown
93 lines
3.3 KiB
Markdown
# s04: Subagents
|
|
|
|
`s01 > s02 > s03 > [ s04 ] s05 > s06 | s07 > s08 > s09 > s10 > s11 > s12`
|
|
|
|
> *"Process isolation = context isolation"* -- fresh messages[] per subagent.
|
|
|
|
## Problem
|
|
|
|
As the agent works, its messages array grows. Every file read, every bash output stays in context permanently. "What testing framework does this project use?" might require reading 5 files, but the parent only needs the answer: "pytest."
|
|
|
|
## Solution
|
|
|
|
```
|
|
Parent agent Subagent
|
|
+------------------+ +------------------+
|
|
| messages=[...] | | messages=[] | <-- fresh
|
|
| | dispatch | |
|
|
| tool: task | ----------> | while tool_use: |
|
|
| prompt="..." | | call tools |
|
|
| | summary | append results |
|
|
| result = "..." | <---------- | return last text |
|
|
+------------------+ +------------------+
|
|
|
|
Parent context stays clean. Subagent context is discarded.
|
|
```
|
|
|
|
## How It Works
|
|
|
|
1. The parent gets a `task` tool. The child gets all base tools except `task` (no recursive spawning).
|
|
|
|
```python
|
|
PARENT_TOOLS = CHILD_TOOLS + [
|
|
{"name": "task",
|
|
"description": "Spawn a subagent with fresh context.",
|
|
"input_schema": {
|
|
"type": "object",
|
|
"properties": {"prompt": {"type": "string"}},
|
|
"required": ["prompt"],
|
|
}},
|
|
]
|
|
```
|
|
|
|
2. The subagent starts with `messages=[]` and runs its own loop. Only the final text returns to the parent.
|
|
|
|
```python
|
|
def run_subagent(prompt: str) -> str:
|
|
sub_messages = [{"role": "user", "content": prompt}]
|
|
for _ in range(30): # safety limit
|
|
response = client.messages.create(
|
|
model=MODEL, system=SUBAGENT_SYSTEM,
|
|
messages=sub_messages,
|
|
tools=CHILD_TOOLS, max_tokens=8000,
|
|
)
|
|
sub_messages.append({"role": "assistant",
|
|
"content": response.content})
|
|
if response.stop_reason != "tool_use":
|
|
break
|
|
results = []
|
|
for block in response.content:
|
|
if block.type == "tool_use":
|
|
handler = TOOL_HANDLERS.get(block.name)
|
|
output = handler(**block.input)
|
|
results.append({"type": "tool_result",
|
|
"tool_use_id": block.id,
|
|
"content": str(output)[:50000]})
|
|
sub_messages.append({"role": "user", "content": results})
|
|
return "".join(
|
|
b.text for b in response.content if hasattr(b, "text")
|
|
) or "(no summary)"
|
|
```
|
|
|
|
The child's entire message history (possibly 30+ tool calls) is discarded. The parent receives a one-paragraph summary as a normal `tool_result`.
|
|
|
|
## What Changed From s03
|
|
|
|
| Component | Before (s03) | After (s04) |
|
|
|----------------|------------------|---------------------------|
|
|
| Tools | 5 | 5 (base) + task (parent) |
|
|
| Context | Single shared | Parent + child isolation |
|
|
| Subagent | None | `run_subagent()` function |
|
|
| Return value | N/A | Summary text only |
|
|
|
|
## Try It
|
|
|
|
```sh
|
|
cd learn-claude-code
|
|
python agents/s04_subagent.py
|
|
```
|
|
|
|
1. `Use a subtask to find what testing framework this project uses`
|
|
2. `Delegate: read all .py files and summarize what each one does`
|
|
3. `Use a task to create a new module, then verify it from here`
|