File size: 11,143 Bytes
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import os
import shlex
import shutil
import subprocess
import tempfile
import time
from config import CLAUDE_CLI_PATH, get_pricing
from models import RunStatus
from adapters.base import AgentAdapter, RunContext, RunResult
class ClaudeCodeAdapter(AgentAdapter):
def name(self) -> str:
return "Claude Code"
def is_available(self) -> bool:
"""Check if the claude CLI is on PATH or at the configured path."""
return shutil.which(CLAUDE_CLI_PATH) is not None
async def run(self, ctx: RunContext, sandbox) -> RunResult:
"""Run Claude Code on the host against a local clone of the task repo.
Claude CLI is not available inside Docker containers, so we clone the
repo to a temp directory on the host and run the CLI there. The diff
is captured and returned in RunResult.diff_text so the runner can
create the judge sandbox from it.
"""
start = time.time()
tmpdir = tempfile.mkdtemp(prefix="arena-claude-")
clean_home = None
try:
# Clone the task repo to a host temp directory.
repo_url = getattr(ctx, "repo_url", None)
repo_ref = getattr(ctx, "repo_ref", "main") or "main"
if not repo_url:
# Fallback: nothing to clone — just run in work_dir as-is.
work_dir = ctx.work_dir
else:
clone_result = subprocess.run(
["git", "clone", "--depth=1", "-b", repo_ref, repo_url, tmpdir],
capture_output=True,
text=True,
timeout=120,
)
if clone_result.returncode != 0:
return RunResult(
status=RunStatus.error,
duration_s=round(time.time() - start, 2),
raw_output=clone_result.stderr[:5000],
)
work_dir = tmpdir
# Create git checkpoint so we can diff later.
subprocess.run(
["git", "tag", "arena-checkpoint"],
cwd=work_dir, capture_output=True, timeout=10,
)
# Write CLAUDE.md if configured
claude_md = self.config.get("claude_md")
if claude_md:
claude_md_path = os.path.join(work_dir, "CLAUDE.md")
with open(claude_md_path, "w") as f:
f.write(claude_md)
# Build prompt based on mode
prompt_mode = self.config.get("prompt_mode", "fix")
if prompt_mode == "raw":
prompt = ctx.task_prompt
else:
prompt = (
f"Fix the following issue in the codebase at {work_dir}:\n\n"
f"{ctx.task_prompt}\n\n"
f"After fixing, verify your changes pass: {ctx.success_cmd}"
)
# Inject additional context if configured (simulates Sidecar-NG hook)
additional_context = self.config.get("additional_context")
if additional_context:
prompt = f"[SIDECAR-NG] {additional_context}\n\n---\n\n{prompt}"
# Use model from agent config if set.
model = self.config.get("model", "")
cmd = [
CLAUDE_CLI_PATH,
"--print",
"--verbose",
"--dangerously-skip-permissions",
"--output-format", "stream-json",
]
if model:
cmd.extend(["--model", model])
effort = self.config.get("effort")
if effort:
cmd.extend(["--effort", effort])
cmd.append(prompt)
# Unset CLAUDECODE so the nested claude CLI doesn't refuse to run.
env = os.environ.copy()
env.pop("CLAUDECODE", None)
# Isolate from host's ~/.claude/ config (hooks, MCP, global CLAUDE.md)
# to prevent cross-contamination in A/B experiments.
clean_home = None
if self.config.get("clean_home"):
clean_home = tempfile.mkdtemp(prefix="arena-home-")
clean_claude_dir = os.path.join(clean_home, ".claude")
os.makedirs(clean_claude_dir)
# Copy only credentials (API key), not hooks/settings/CLAUDE.md
real_creds = os.path.expanduser("~/.claude/.credentials.json")
if os.path.exists(real_creds):
shutil.copy2(real_creds, os.path.join(clean_claude_dir, ".credentials.json"))
env["HOME"] = clean_home
try:
proc = subprocess.run(
cmd,
cwd=work_dir,
capture_output=True,
text=True,
timeout=ctx.time_limit_s,
env=env,
)
returncode = proc.returncode
stdout = proc.stdout
stderr = proc.stderr
except subprocess.TimeoutExpired:
returncode = 124
stdout = ""
stderr = f"Command timed out after {ctx.time_limit_s}s"
duration = time.time() - start
# Collect git diff from host clone, excluding __pycache__ and .pyc files.
def _get_diff(rev):
r = subprocess.run(
["git", "diff", rev, "--", ".", ":!**/__pycache__/", ":!**/*.pyc"],
cwd=work_dir, capture_output=True, text=True, timeout=30,
)
return r.stdout if r.returncode == 0 else ""
diff_text = _get_diff("arena-checkpoint")
if not diff_text.strip():
diff_text = _get_diff("arena-checkpoint..HEAD")
tokens_input = 0
tokens_output = 0
cache_create = 0
cache_read = 0
trajectory = []
tool_call_count = 0
model_id = model or "claude-sonnet-4-6"
cost = 0.0
# stream-json: one JSON object per line (NDJSON).
for raw_line in stdout.strip().splitlines():
raw_line = raw_line.strip()
if not raw_line:
continue
try:
entry = json.loads(raw_line)
except (json.JSONDecodeError, ValueError):
continue
entry_type = entry.get("type", "")
if entry_type == "assistant":
# Extract tool_use blocks from content
message = entry.get("message", {})
for block in message.get("content", []):
if block.get("type") == "tool_use":
tool_call_count += 1
tool_name = block.get("name", "unknown")
input_data = block.get("input", {})
preview = ""
if isinstance(input_data, dict):
preview = (
input_data.get("file_path", "")
or input_data.get("command", "")
or input_data.get("pattern", "")
or str(input_data)[:120]
)
trajectory.append({
"tool_name": tool_name,
"input_preview": str(preview)[:200],
})
elif entry_type == "result":
usage = entry.get("usage", {})
tokens_input = usage.get("input_tokens", 0)
tokens_output = usage.get("output_tokens", 0)
cache_create = usage.get("cache_creation_input_tokens", 0)
cache_read = usage.get("cache_read_input_tokens", 0)
cost = entry.get("total_cost_usd", 0.0) or entry.get("cost_usd", 0.0) or 0.0
model_usage = entry.get("modelUsage", {})
if model_usage:
model_id = next(iter(model_usage))
mu = model_usage[model_id]
# Prefer modelUsage totals over per-turn usage
tokens_input = mu.get("inputTokens", tokens_input)
tokens_output = mu.get("outputTokens", tokens_output)
cache_create = mu.get("cacheCreationInputTokens", cache_create)
cache_read = mu.get("cacheReadInputTokens", cache_read)
# Fallback: try parsing as single JSON (old --output-format json)
if not trajectory and not tokens_input:
try:
entry = json.loads(stdout.strip())
usage = entry.get("usage", {})
tokens_input = usage.get("input_tokens", 0)
tokens_output = usage.get("output_tokens", 0)
cache_create = usage.get("cache_creation_input_tokens", 0)
cache_read = usage.get("cache_read_input_tokens", 0)
cost = entry.get("total_cost_usd", 0.0) or 0.0
model_usage = entry.get("modelUsage", {})
if model_usage:
model_id = next(iter(model_usage))
mu = model_usage[model_id]
# Prefer modelUsage totals over per-turn usage
tokens_input = mu.get("inputTokens", tokens_input)
tokens_output = mu.get("outputTokens", tokens_output)
cache_create = mu.get("cacheCreationInputTokens", cache_create)
cache_read = mu.get("cacheReadInputTokens", cache_read)
except (json.JSONDecodeError, ValueError):
pass
# Compute cost from tokens if not provided directly
if cost == 0.0 and (tokens_input or tokens_output):
rate_in, rate_w, rate_r, rate_out = get_pricing(model_id)
cost = (tokens_input * rate_in + cache_create * rate_w + cache_read * rate_r + tokens_output * rate_out) / 1_000_000
if duration >= ctx.time_limit_s:
status = RunStatus.timeout
elif returncode == 0:
status = RunStatus.success
else:
status = RunStatus.failure
return RunResult(
status=status,
duration_s=round(duration, 2),
tokens_input=tokens_input,
tokens_output=tokens_output,
cost_usd=round(cost, 6),
trajectory=trajectory,
tool_calls=tool_call_count,
diff_text=diff_text,
raw_output=stdout[:50_000],
)
finally:
shutil.rmtree(tmpdir, ignore_errors=True)
if clean_home:
shutil.rmtree(clean_home, ignore_errors=True)
|