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feat(roles): add claude_cli provider — run kernel via Claude Code CLI #38

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Merged
Protocol-zero-0 merged 1 commit into from
May 26, 2026
Merged

feat(roles): add claude_cli provider — run kernel via Claude Code CLI #38

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17 changes: 17 additions & 0 deletions roles/evaluator.py
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Original file line number Diff line number Diff line change
Expand Up @@ -41,6 +41,23 @@ def _call_llm(prompt: str, cfg: dict) -> tuple[str, int, float]:
tokens = resp.usage.total_tokens
return resp.choices[0].message.content, tokens, tokens * 3e-6

if provider == "claude_cli":
import subprocess
proc = subprocess.run(
["claude", "-p", "--model", model, "--output-format", "json"],
input=prompt,
capture_output=True,
text=True,
)
Comment on lines +46 to +51
if proc.returncode != 0:
raise RuntimeError(f"claude -p failed (exit {proc.returncode}): {proc.stderr[:200]}")
data = json.loads(proc.stdout)
text = data.get("result", "")
usage = data.get("usage", {})
tokens = usage.get("input_tokens", 0) + usage.get("output_tokens", 0)
cost = float(data.get("total_cost_usd", 0.0))
return text, tokens, cost

raise ValueError(f"unknown llm.provider: {provider!r}")


Expand Down
17 changes: 17 additions & 0 deletions roles/goal_evaluator.py
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Original file line number Diff line number Diff line change
Expand Up @@ -38,6 +38,21 @@ def _call_openai(prompt: str, model: str, api_key_env: str) -> str:
return resp.choices[0].message.content


def _call_claude_cli(prompt: str, model: str) -> str:
"""Call Claude via the local Claude Code CLI (no API key required)."""
import subprocess
proc = subprocess.run(
["claude", "-p", "--model", model, "--output-format", "json"],
input=prompt,
capture_output=True,
text=True,
)
Comment on lines +44 to +49
if proc.returncode != 0:
raise RuntimeError(f"claude -p failed (exit {proc.returncode}): {proc.stderr[:200]}")
data = json.loads(proc.stdout)
return data.get("result", "")


def main() -> None:
parser = argparse.ArgumentParser()
parser.add_argument("--input", required=True)
Expand Down Expand Up @@ -81,6 +96,8 @@ def main() -> None:
text = _call_anthropic(prompt, model, api_key_env)
elif provider == "openai":
text = _call_openai(prompt, model, api_key_env)
elif provider == "claude_cli":
text = _call_claude_cli(prompt, model)
else:
print(f"error: unknown llm.provider: {provider!r}", file=sys.stderr)
sys.exit(1)
Expand Down
25 changes: 25 additions & 0 deletions roles/planner.py
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Original file line number Diff line number Diff line change
Expand Up @@ -45,6 +45,29 @@ def _call_openai(prompt: str, model: str, api_key_env: str) -> tuple[str, int, f
return resp.choices[0].message.content, tokens, cost


def _call_claude_cli(prompt: str, model: str) -> tuple[str, int, float]:
"""Call Claude via the local Claude Code CLI (no API key required).

Uses --output-format json to recover the response text plus real
token / cost numbers, so kernel-level cost guards keep working.
"""
import subprocess
proc = subprocess.run(
["claude", "-p", "--model", model, "--output-format", "json"],
input=prompt,
capture_output=True,
text=True,
)
Comment on lines +55 to +60
if proc.returncode != 0:
raise RuntimeError(f"claude -p failed (exit {proc.returncode}): {proc.stderr[:200]}")
data = json.loads(proc.stdout)
text = data.get("result", "")
usage = data.get("usage", {})
tokens = usage.get("input_tokens", 0) + usage.get("output_tokens", 0)
cost = float(data.get("total_cost_usd", 0.0))
return text, tokens, cost


def main() -> None:
parser = argparse.ArgumentParser()
parser.add_argument("--input", required=True)
Expand Down Expand Up @@ -104,6 +127,8 @@ def main() -> None:
text, tokens, cost = _call_anthropic(prompt, model, api_key_env)
elif provider == "openai":
text, tokens, cost = _call_openai(prompt, model, api_key_env)
elif provider == "claude_cli":
text, tokens, cost = _call_claude_cli(prompt, model)
else:
print(f"error: unknown llm.provider: {provider!r}", file=sys.stderr)
sys.exit(1)
Expand Down
17 changes: 17 additions & 0 deletions roles/strategist.py
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Original file line number Diff line number Diff line change
Expand Up @@ -38,6 +38,21 @@ def _call_openai(prompt: str, model: str, api_key_env: str) -> str:
return resp.choices[0].message.content


def _call_claude_cli(prompt: str, model: str) -> str:
"""Call Claude via the local Claude Code CLI (no API key required)."""
import subprocess
proc = subprocess.run(
["claude", "-p", "--model", model, "--output-format", "json"],
input=prompt,
capture_output=True,
text=True,
)
Comment on lines +44 to +49
if proc.returncode != 0:
raise RuntimeError(f"claude -p failed (exit {proc.returncode}): {proc.stderr[:200]}")
data = json.loads(proc.stdout)
return data.get("result", "")


def main() -> None:
parser = argparse.ArgumentParser()
parser.add_argument("--input", required=True)
Expand Down Expand Up @@ -80,6 +95,8 @@ def main() -> None:
text = _call_anthropic(prompt, model, api_key_env)
elif provider == "openai":
text = _call_openai(prompt, model, api_key_env)
elif provider == "claude_cli":
text = _call_claude_cli(prompt, model)
else:
print(f"error: unknown llm.provider: {provider!r}", file=sys.stderr)
sys.exit(1)
Expand Down
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