mirror of
https://github.com/shareAI-lab/analysis_claude_code.git
synced 2026-02-04 13:16:37 +08:00
120cf7ac99
- Remove provider_utils.py (241 lines of adapter code) - Simplify all agent files to use Anthropic SDK directly - Update model to claude-sonnet-4-5-20250929 - Add python-dotenv with override=True (.env takes priority over env vars) - Simplify .env.example to only require ANTHROPIC_API_KEY This keeps the codebase focused on teaching agent concepts rather than API compatibility layers. Users who need other providers can use tools like litellm or one-api. Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
17 lines
1.7 KiB
Python
17 lines
1.7 KiB
Python
#!/usr/bin/env python
|
|
"""v0_bash_agent_mini.py - Mini Claude Code (Compact)"""
|
|
from anthropic import Anthropic; from dotenv import load_dotenv; import subprocess as sp, sys, os
|
|
load_dotenv(override=True); C = Anthropic(); M = "claude-sonnet-4-5-20250929"
|
|
T = [{"name":"bash","description":"Shell cmd. Read:cat/grep/find/rg/ls. Write:echo>/sed. Subagent(for complex subtask): python v0_bash_agent_mini.py 'task'","input_schema":{"type":"object","properties":{"command":{"type":"string"}},"required":["command"]}}]
|
|
S = f"CLI agent at {os.getcwd()}. Use bash to solve problems. Spawn subagent for complex subtasks: python v0_bash_agent_mini.py 'task'. Subagent isolates context and returns summary. Be concise."
|
|
|
|
def chat(p, h=[]):
|
|
h.append({"role":"user","content":p})
|
|
while (r:=C.messages.create(model=M,system=S,messages=h,tools=T,max_tokens=8000)).stop_reason=="tool_use":
|
|
h.append({"role":"assistant","content":[{"type":b.type,**({"text":b.text}if hasattr(b,"text")else{"id":b.id,"name":b.name,"input":b.input})}for b in r.content]})
|
|
h.append({"role":"user","content":[{"type":"tool_result","tool_use_id":b.id,"content":(print(f"\033[33m$ {b.input['command']}\033[0m"),o:=sp.run(b.input["command"],shell=1,capture_output=1,text=1,timeout=300),print(o.stdout+o.stderr or"(empty)"))and""or(o.stdout+o.stderr)[:50000]}for b in r.content if b.type=="tool_use"]})
|
|
h.append({"role":"assistant","content":[{"type":b.type,**({"text":b.text}if hasattr(b,"text")else{"id":b.id,"name":b.name,"input":b.input})}for b in r.content]})
|
|
return "".join(b.text for b in r.content if hasattr(b,"text"))
|
|
|
|
if __name__=="__main__":[print(chat(sys.argv[1]))]if len(sys.argv)>1 else[print(chat(q,h))for h in[[]]for _ in iter(int,1)if(q:=input("\033[36m>> \033[0m"))not in("q","")]
|