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116524e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 | """Claude Code integration — execute step, result type, and trace converter."""
from __future__ import annotations
import json
import logging
import os
import shutil
import subprocess
from dataclasses import dataclass
from pathlib import Path
from typing import Any, Optional, Tuple
from ..core.context import ACEStepContext
from ..implementations.prompts import wrap_skillbook_for_external_agent
logger = logging.getLogger(__name__)
CLAUDE_CODE_AVAILABLE = shutil.which("claude") is not None
# ---------------------------------------------------------------------------
# Input / Output types
# ---------------------------------------------------------------------------
@dataclass
class ClaudeCodeResult:
"""Output from a Claude Code CLI execution.
This is the integration-specific result — not yet in ACE trace format.
Use ``ClaudeCodeToTrace`` to convert to a standardised trace dict.
"""
task: str
success: bool
output: str = ""
execution_trace: str = ""
returncode: int = 0
error: Optional[str] = None
# ---------------------------------------------------------------------------
# Execute step
# ---------------------------------------------------------------------------
class ClaudeCodeExecuteStep:
"""INJECT skillbook context and EXECUTE via Claude Code CLI.
Reads a task string from ``ctx.sample``, writes a ``ClaudeCodeResult``
to ``ctx.trace``.
"""
requires = frozenset({"sample", "skillbook"})
provides = frozenset({"trace"})
def __init__(
self,
working_dir: Optional[str] = None,
timeout: int = 600,
model: Optional[str] = None,
allowed_tools: Optional[list[str]] = None,
) -> None:
if not CLAUDE_CODE_AVAILABLE:
raise RuntimeError(
"Claude Code CLI not found. Install from: https://claude.ai/code"
)
self.working_dir = Path(working_dir).resolve() if working_dir else Path.cwd()
self.timeout = timeout
self.model = model
self.allowed_tools = allowed_tools
def __call__(self, ctx: ACEStepContext) -> ACEStepContext:
task: str = ctx.sample
# -- INJECT --
prompt = self._inject(task, ctx.skillbook)
# -- EXECUTE --
result = self._execute(task, prompt)
return ctx.replace(trace=result)
# ------------------------------------------------------------------
# Injection
# ------------------------------------------------------------------
@staticmethod
def _inject(task: str, skillbook: Any) -> str:
if skillbook is None:
return task
context = wrap_skillbook_for_external_agent(skillbook)
if not context:
return task
return f"{task}\n\n{context}"
# ------------------------------------------------------------------
# Execution
# ------------------------------------------------------------------
def _execute(self, task: str, prompt: str) -> ClaudeCodeResult:
cmd: list[str] = [
"claude",
"--print",
"--output-format=stream-json",
"--verbose",
"--dangerously-skip-permissions",
]
if self.model:
cmd.extend(["--model", self.model])
if self.allowed_tools:
for tool in self.allowed_tools:
cmd.extend(["--allowedTools", tool])
env = {k: v for k, v in os.environ.items() if k != "ANTHROPIC_API_KEY"}
try:
result = subprocess.run(
cmd,
input=prompt,
text=True,
cwd=str(self.working_dir),
capture_output=True,
timeout=self.timeout,
env=env,
)
execution_trace, summary = self._parse_stream_json(result.stdout)
return ClaudeCodeResult(
task=task,
success=result.returncode == 0,
output=summary,
execution_trace=execution_trace,
returncode=result.returncode,
error=result.stderr[:500] if result.returncode != 0 else None,
)
except subprocess.TimeoutExpired:
return ClaudeCodeResult(
task=task,
success=False,
returncode=-1,
error=f"Execution timed out after {self.timeout}s",
)
except Exception as exc:
return ClaudeCodeResult(
task=task,
success=False,
returncode=-1,
error=str(exc),
)
# ------------------------------------------------------------------
# Stream-JSON parser
# ------------------------------------------------------------------
@staticmethod
def _parse_stream_json(stdout: str) -> Tuple[str, str]:
"""Parse stream-json output. Returns ``(execution_trace, summary)``."""
trace_parts: list[str] = []
final_text = ""
step_num = 0
for line in stdout.split("\n"):
if not line.strip():
continue
try:
event = json.loads(line)
except json.JSONDecodeError:
continue
if event.get("type") != "assistant":
continue
for block in event.get("message", {}).get("content", []):
if not isinstance(block, dict):
continue
block_type = block.get("type")
if block_type == "text":
text = block.get("text", "")
if text.strip():
trace_parts.append(f"[Reasoning] {text[:300]}")
final_text = text
elif block_type == "tool_use":
step_num += 1
tool_name = block.get("name", "unknown")
tool_input = block.get("input", {})
if tool_name in ("Read", "Glob", "Grep"):
target = tool_input.get("file_path") or tool_input.get(
"pattern", ""
)
trace_parts.append(f"[Step {step_num}] {tool_name}: {target}")
elif tool_name in ("Write", "Edit"):
target = tool_input.get("file_path", "")
trace_parts.append(f"[Step {step_num}] {tool_name}: {target}")
elif tool_name == "Bash":
cmd = tool_input.get("command", "")[:80]
trace_parts.append(f"[Step {step_num}] Bash: {cmd}")
else:
trace_parts.append(f"[Step {step_num}] {tool_name}")
execution_trace = (
"\n".join(trace_parts) if trace_parts else "(No trace captured)"
)
if final_text:
paragraphs = [p.strip() for p in final_text.split("\n\n") if p.strip()]
summary = paragraphs[-1][:300] if paragraphs else final_text[:300]
else:
summary = f"Completed {step_num} steps"
return execution_trace, summary
# ---------------------------------------------------------------------------
# Convert step — ClaudeCodeResult → standardised trace dict
# ---------------------------------------------------------------------------
class ClaudeCodeToTrace:
"""Convert a ``ClaudeCodeResult`` on ``ctx.trace`` to the standardised
trace dict that the learning tail (``ReflectStep``) expects.
Trace dict keys: ``question``, ``reasoning``, ``answer``, ``skill_ids``,
``feedback``, ``ground_truth``.
"""
requires = frozenset({"trace"})
provides = frozenset({"trace"})
def __call__(self, ctx: ACEStepContext) -> ACEStepContext:
r: ClaudeCodeResult = ctx.trace # type: ignore[assignment]
status = "succeeded" if r.success else "failed"
feedback = f"Claude Code task {status}"
if r.error:
feedback += f"\nError: {r.error}"
trace: dict = {
"question": r.task,
"reasoning": r.execution_trace,
"answer": r.output,
"skill_ids": [],
"feedback": feedback,
"ground_truth": None,
}
return ctx.replace(trace=trace)
__all__ = [
"ClaudeCodeExecuteStep",
"ClaudeCodeResult",
"ClaudeCodeToTrace",
]
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