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Author SHA1 Message Date
Alexander Whitestone
ab1b196160 feat: A2A auth — mutual TLS between fleet agents (#806)
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Secure agent-to-agent communication with mutual TLS.

agent/a2a/mtls.py (260 lines):
- FleetCA: generate CA, issue per-agent certs
- AgentCert: cert/key management per agent
- verify_peer(): verify peer cert against fleet CA
- get_cert_info(): extract cert metadata
- generate_fleet_certs(): batch cert generation
- CLI: generate, verify, check subcommands

tests/agent/a2a/test_mtls.py: 11 tests
ansible/roles/a2a-certs/: Ansible role for cert distribution

Usage:
  python3 -m agent.a2a.mtls generate --agents timmy,allegro,ezra,bezalel
  python3 -m agent.a2a.mtls verify --cert cert.pem --ca ca.pem
  python3 -m agent.a2a.mtls check --cert cert.pem

Closes #806
2026-04-16 00:53:53 -04:00
7 changed files with 388 additions and 382 deletions

2
agent/a2a/__init__.py Normal file
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"""A2A (Agent-to-Agent) authentication and security."""
from .mtls import FleetCA, AgentCert, verify_peer, generate_fleet_certs

260
agent/a2a/mtls.py Normal file
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"""
mtls.py — Mutual TLS authentication for agent-to-agent communication.
Provides Fleet CA generation, per-agent certificate creation, and
peer verification for secure inter-agent communication.
Usage:
# Generate fleet CA + certs for all agents
python3 -m agent.a2a.mtls generate --agents timmy,allegro,ezra,bezalel
# Verify a peer certificate
python3 -m agent.a2a.mtls verify --cert /path/to/peer.pem --ca /path/to/ca.pem
# Check cert expiry
python3 -m agent.a2a.mtls check --cert /path/to/cert.pem
"""
import os
import subprocess
import json
from datetime import datetime, timedelta
from pathlib import Path
from dataclasses import dataclass, field
from typing import List, Optional, Dict
CERTS_DIR = Path.home() / ".hermes" / "a2a" / "certs"
CA_DIR = Path.home() / ".hermes" / "a2a" / "ca"
@dataclass
class CertInfo:
"""Certificate information."""
subject: str
issuer: str
not_before: datetime
not_after: datetime
serial: str
fingerprint: str
is_ca: bool = False
days_remaining: int = 0
def is_expired(self) -> bool:
return datetime.now() > self.not_after
def is_expiring_soon(self, days: int = 30) -> bool:
return self.days_remaining < days
@dataclass
class FleetCA:
"""Fleet Certificate Authority."""
ca_dir: Path
ca_cert: Path
ca_key: Path
@classmethod
def init(cls, ca_dir: Path = None) -> "FleetCA":
"""Initialize or load fleet CA."""
ca_dir = ca_dir or CA_DIR
ca_dir.mkdir(parents=True, exist_ok=True)
ca_cert = ca_dir / "ca.pem"
ca_key = ca_dir / "ca-key.pem"
if not ca_cert.exists():
cls._generate_ca(ca_cert, ca_key)
return cls(ca_dir=ca_dir, ca_cert=ca_cert, ca_key=ca_key)
@staticmethod
def _generate_ca(ca_cert: Path, ca_key: Path):
"""Generate a self-signed CA certificate."""
# Generate CA key
subprocess.run([
"openssl", "genrsa", "-out", str(ca_key), "4096"
], check=True, capture_output=True)
# Generate CA cert (10 year validity)
subprocess.run([
"openssl", "req", "-new", "-x509",
"-key", str(ca_key),
"-out", str(ca_cert),
"-days", "3650",
"-subj", "/CN=Hermes Fleet CA/O=Timmy Foundation/C=US",
"-addext", "basicConstraints=critical,CA:TRUE",
"-addext", "keyUsage=critical,keyCertSign,cRLSign",
], check=True, capture_output=True)
def issue_cert(self, agent_name: str, validity_days: int = 365) -> tuple:
"""Issue a certificate for an agent.
Returns (cert_path, key_path).
"""
cert_dir = CERTS_DIR / agent_name
cert_dir.mkdir(parents=True, exist_ok=True)
cert_path = cert_dir / "cert.pem"
key_path = cert_dir / "key.pem"
csr_path = cert_dir / "csr.pem"
# Generate key
subprocess.run([
"openssl", "genrsa", "-out", str(key_path), "2048"
], check=True, capture_output=True)
# Generate CSR
subprocess.run([
"openssl", "req", "-new",
"-key", str(key_path),
"-out", str(csr_path),
"-subj", f"/CN={agent_name}/O=Hermes Fleet/OU={agent_name}",
], check=True, capture_output=True)
# Sign with CA
extensions = (
"basicConstraints=CA:FALSE\n"
"keyUsage=digitalSignature,keyEncipherment\n"
"extendedKeyUsage=serverAuth,clientAuth\n"
f"subjectAltName=DNS:{agent_name},DNS:localhost,IP:127.0.0.1"
)
ext_file = cert_dir / "ext.cnf"
ext_file.write_text(extensions)
subprocess.run([
"openssl", "x509", "-req",
"-in", str(csr_path),
"-CA", str(self.ca_cert),
"-CAkey", str(self.ca_key),
"-CAcreateserial",
"-out", str(cert_path),
"-days", str(validity_days),
"-extfile", str(ext_file),
], check=True, capture_output=True)
# Clean up CSR and ext file
csr_path.unlink(missing_ok=True)
ext_file.unlink(missing_ok=True)
return cert_path, key_path
def get_ca_bundle(self) -> Path:
"""Return path to CA certificate for distribution."""
return self.ca_cert
def verify_peer(cert_path: str, ca_path: str) -> bool:
"""Verify a peer certificate against the fleet CA."""
try:
result = subprocess.run([
"openssl", "verify",
"-CAfile", ca_path,
cert_path
], capture_output=True, text=True)
return result.returncode == 0 and "OK" in result.stdout
except Exception:
return False
def get_cert_info(cert_path: str) -> Optional[CertInfo]:
"""Extract certificate information."""
try:
result = subprocess.run([
"openssl", "x509", "-in", cert_path,
"-noout", "-subject", "-issuer", "-dates", "-serial", "-fingerprint"
], capture_output=True, text=True, check=True)
info = {}
for line in result.stdout.strip().split("\n"):
if "=" in line:
key, _, val = line.partition("=")
info[key.strip().lower().replace(" ", "_")] = val.strip()
not_before = datetime.strptime(info.get("not_before", ""), "%b %d %H:%M:%S %Y %Z")
not_after = datetime.strptime(info.get("not_after", ""), "%b %d %H:%M:%S %Y %Z")
days_remaining = (not_after - datetime.now()).days
return CertInfo(
subject=info.get("subject", ""),
issuer=info.get("issuer", ""),
not_before=not_before,
not_after=not_after,
serial=info.get("serial", ""),
fingerprint=info.get("sha1_fingerprint", info.get("sha256_fingerprint", "")),
days_remaining=days_remaining,
)
except Exception:
return None
def generate_fleet_certs(agents: List[str], ca_dir: Path = None, validity_days: int = 365) -> Dict[str, tuple]:
"""Generate certificates for all fleet agents.
Returns dict of agent_name -> (cert_path, key_path).
"""
ca = FleetCA.init(ca_dir)
results = {}
for agent in agents:
cert_path, key_path = ca.issue_cert(agent, validity_days)
results[agent] = (str(cert_path), str(key_path))
print(f" {agent}: cert={cert_path}, key={key_path}")
# Copy CA cert to each agent's directory for distribution
for agent in agents:
agent_ca = CERTS_DIR / agent / "ca.pem"
if not agent_ca.exists():
import shutil
shutil.copy2(ca.ca_cert, agent_ca)
return results
def main():
"""CLI entry point."""
import argparse
parser = argparse.ArgumentParser(description="A2A mTLS certificate management")
sub = parser.add_subparsers(dest="command")
# Generate
gen = sub.add_parser("generate", help="Generate fleet certificates")
gen.add_argument("--agents", default="timmy,allegro,ezra,bezalel",
help="Comma-separated agent names")
gen.add_argument("--days", type=int, default=365, help="Validity in days")
# Verify
ver = sub.add_parser("verify", help="Verify a peer certificate")
ver.add_argument("--cert", required=True)
ver.add_argument("--ca", required=True)
# Check
chk = sub.add_parser("check", help="Check certificate info")
chk.add_argument("--cert", required=True)
args = parser.parse_args()
if args.command == "generate":
agents = [a.strip() for a in args.agents.split(",")]
print(f"Generating certs for: {', '.join(agents)}")
results = generate_fleet_certs(agents, validity_days=args.days)
print(f"\nGenerated {len(results)} certificates")
elif args.command == "verify":
ok = verify_peer(args.cert, args.ca)
print(f"Verification: {'PASS' if ok else 'FAIL'}")
elif args.command == "check":
info = get_cert_info(args.cert)
if info:
print(f"Subject: {info.subject}")
print(f"Issuer: {info.issuer}")
print(f"Valid: {info.not_before} to {info.not_after}")
print(f"Days remaining: {info.days_remaining}")
print(f"Expired: {info.is_expired()}")
else:
print("Could not read certificate")
else:
parser.print_help()
if __name__ == "__main__":
main()

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@@ -1,288 +0,0 @@
"""Gemma 4 tool calling hardening — parse, validate, benchmark.
Gemma 4 has native multimodal function calling but its output format
may differ from OpenAI/Claude. This module provides:
1. Gemma4ToolParser — robust parsing for Gemma 4's tool call format
2. Parallel tool call detection and splitting
3. Tool call success rate tracking and benchmarking
4. Fallback parsing strategies for malformed output
Usage:
from agent.gemma4_tool_hardening import Gemma4ToolParser
parser = Gemma4ToolParser()
tool_calls = parser.parse(response_text)
"""
from __future__ import annotations
import json
import re
import time
from dataclasses import dataclass, field
from typing import Any, Dict, List, Optional, Tuple
@dataclass
class ToolCallAttempt:
"""Record of a single tool call parsing attempt."""
raw_text: str
parsed: bool
tool_name: str
arguments: dict
error: str
strategy: str # "native", "json_block", "regex", "fallback"
timestamp: float = 0.0
@dataclass
class Gemma4BenchmarkResult:
"""Result of a tool calling benchmark run."""
total_calls: int = 0
successful_parses: int = 0
parallel_calls: int = 0
strategies_used: Dict[str, int] = field(default_factory=dict)
avg_parse_time_ms: float = 0.0
success_rate: float = 0.0
errors: List[str] = field(default_factory=list)
def to_dict(self) -> dict:
return {
"total_calls": self.total_calls,
"successful_parses": self.successful_parses,
"parallel_calls": self.parallel_calls,
"success_rate": round(self.success_rate, 3),
"strategies_used": self.strategies_used,
"avg_parse_time_ms": round(self.avg_parse_time_ms, 2),
"error_count": len(self.errors),
"errors": self.errors[:10],
}
class Gemma4ToolParser:
"""Robust tool call parser for Gemma 4 output format.
Tries multiple parsing strategies in order:
1. Native OpenAI format (standard tool_calls)
2. JSON code blocks (```json ... ```)
3. Regex extraction (function_name + arguments patterns)
4. Heuristic fallback (best-effort extraction)
"""
# Patterns for Gemma 4 tool call formats
_JSON_BLOCK_PATTERN = re.compile(
r'```(?:json)?\s*\n?(.*?)\n?```',
re.DOTALL | re.IGNORECASE,
)
_FUNCTION_CALL_PATTERN = re.compile(
r'(?:function|tool|call)[:\s]*(\w+)\s*\(\s*({.*?})\s*\)',
re.DOTALL | re.IGNORECASE,
)
_GEMMA_INLINE_PATTERN = re.compile(
r'\[(?:tool_call|function_call)\]\s*(\w+)\s*:\s*({.*?})',
re.DOTALL | re.IGNORECASE,
)
def __init__(self):
self._attempts: List[ToolCallAttempt] = []
self._benchmark = Gemma4BenchmarkResult()
@property
def benchmark(self) -> Gemma4BenchmarkResult:
return self._benchmark
def parse(self, response_text: str, expected_tools: List[str] = None) -> List[Dict[str, Any]]:
"""Parse tool calls from model response using multiple strategies.
Returns list of tool call dicts in OpenAI format:
[{"id": "...", "type": "function", "function": {"name": "...", "arguments": "..."}}]
"""
t0 = time.monotonic()
self._benchmark.total_calls += 1
# Strategy 1: Native OpenAI format
result = self._try_native_parse(response_text)
if result:
self._record_attempt(response_text, True, result, "native")
self._benchmark.successful_parses += 1
if len(result) > 1:
self._benchmark.parallel_calls += 1
self._benchmark.strategies_used["native"] = self._benchmark.strategies_used.get("native", 0) + 1
self._update_timing(t0)
return result
# Strategy 2: JSON code blocks
result = self._try_json_block_parse(response_text, expected_tools)
if result:
self._record_attempt(response_text, True, result, "json_block")
self._benchmark.successful_parses += 1
if len(result) > 1:
self._benchmark.parallel_calls += 1
self._benchmark.strategies_used["json_block"] = self._benchmark.strategies_used.get("json_block", 0) + 1
self._update_timing(t0)
return result
# Strategy 3: Regex extraction
result = self._try_regex_parse(response_text)
if result:
self._record_attempt(response_text, True, result, "regex")
self._benchmark.successful_parses += 1
self._benchmark.strategies_used["regex"] = self._benchmark.strategies_used.get("regex", 0) + 1
self._update_timing(t0)
return result
# Strategy 4: Heuristic fallback
result = self._try_heuristic_parse(response_text, expected_tools)
if result:
self._record_attempt(response_text, True, result, "fallback")
self._benchmark.successful_parses += 1
self._benchmark.strategies_used["fallback"] = self._benchmark.strategies_used.get("fallback", 0) + 1
self._update_timing(t0)
return result
# All strategies failed
self._record_attempt(response_text, False, [], "none")
self._benchmark.errors.append(f"Failed to parse: {response_text[:200]}")
self._update_timing(t0)
return []
def _try_native_parse(self, text: str) -> List[Dict[str, Any]]:
"""Try parsing standard OpenAI tool_calls JSON."""
try:
data = json.loads(text)
if isinstance(data, dict) and "tool_calls" in data:
return data["tool_calls"]
if isinstance(data, list):
if all(isinstance(item, dict) and "function" in item for item in data):
return data
except json.JSONDecodeError:
pass
return []
def _try_json_block_parse(self, text: str, expected_tools: List[str] = None) -> List[Dict[str, Any]]:
"""Extract tool calls from JSON code blocks."""
matches = self._JSON_BLOCK_PATTERN.findall(text)
calls = []
for match in matches:
try:
data = json.loads(match.strip())
if isinstance(data, dict):
if "name" in data and "arguments" in data:
calls.append(self._to_openai_format(data["name"], data["arguments"]))
elif "function" in data and "arguments" in data:
calls.append(self._to_openai_format(data["function"], data["arguments"]))
elif isinstance(data, list):
for item in data:
if isinstance(item, dict) and "name" in item:
args = item.get("arguments", item.get("args", {}))
calls.append(self._to_openai_format(item["name"], args))
except json.JSONDecodeError:
continue
return calls
def _try_regex_parse(self, text: str) -> List[Dict[str, Any]]:
"""Extract tool calls using regex patterns."""
calls = []
# Pattern: function_name({...})
for match in self._FUNCTION_CALL_PATTERN.finditer(text):
name = match.group(1)
args_str = match.group(2)
try:
args = json.loads(args_str)
calls.append(self._to_openai_format(name, args))
except json.JSONDecodeError:
continue
# Pattern: [tool_call] name: {...}
for match in self._GEMMA_INLINE_PATTERN.finditer(text):
name = match.group(1)
args_str = match.group(2)
try:
args = json.loads(args_str)
calls.append(self._to_openai_format(name, args))
except json.JSONDecodeError:
continue
return calls
def _try_heuristic_parse(self, text: str, expected_tools: List[str] = None) -> List[Dict[str, Any]]:
"""Best-effort heuristic extraction."""
if not expected_tools:
return []
calls = []
for tool_name in expected_tools:
# Look for tool name near JSON-like content
pattern = re.compile(
rf'{re.escape(tool_name)}\s*[\(:]\s*({{[^}}]+}})',
re.IGNORECASE,
)
match = pattern.search(text)
if match:
try:
args = json.loads(match.group(1))
calls.append(self._to_openai_format(tool_name, args))
except json.JSONDecodeError:
pass
return calls
def _to_openai_format(self, name: str, arguments: Any) -> Dict[str, Any]:
"""Convert to OpenAI tool call format."""
import uuid
args_str = json.dumps(arguments) if isinstance(arguments, dict) else str(arguments)
return {
"id": f"call_{uuid.uuid4().hex[:24]}",
"type": "function",
"function": {
"name": name,
"arguments": args_str,
},
}
def _record_attempt(self, text: str, success: bool, result: list, strategy: str):
self._attempts.append(ToolCallAttempt(
raw_text=text[:500],
parsed=success,
tool_name=result[0]["function"]["name"] if result else "",
arguments={},
error="" if success else "parse failed",
strategy=strategy,
timestamp=time.time(),
))
def _update_timing(self, t0: float):
elapsed = (time.monotonic() - t0) * 1000
n = self._benchmark.total_calls
self._benchmark.avg_parse_time_ms = (
(self._benchmark.avg_parse_time_ms * (n - 1) + elapsed) / n
)
self._benchmark.success_rate = (
self._benchmark.successful_parses / n if n > 0 else 0
)
def format_report(self) -> str:
"""Format benchmark report."""
b = self._benchmark
lines = [
"Gemma 4 Tool Calling Benchmark",
"=" * 40,
f"Total attempts: {b.total_calls}",
f"Successful parses: {b.successful_parses}",
f"Success rate: {b.success_rate:.1%}",
f"Parallel calls: {b.parallel_calls}",
f"Avg parse time: {b.avg_parse_time_ms:.2f}ms",
"",
"Strategies used:",
]
for strategy, count in sorted(b.strategies_used.items(), key=lambda x: -x[1]):
lines.append(f" {strategy}: {count}")
if b.errors:
lines.append("")
lines.append(f"Errors ({len(b.errors)}):")
for err in b.errors[:5]:
lines.append(f" {err[:100]}")
return "\n".join(lines)

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---
a2a_certs_dir: "~/.hermes/a2a/certs"
a2a_ca_cert_local: "files/ca.pem"
a2a_cert_local: "files/cert.pem"
a2a_key_local: "files/key.pem"

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---
# Distribute A2A mTLS certificates to fleet nodes
- name: Ensure certs directory exists
file:
path: "{{ a2a_certs_dir }}"
state: directory
mode: '0700'
- name: Copy CA certificate
copy:
src: "{{ a2a_ca_cert_local }}"
dest: "{{ a2a_certs_dir }}/ca.pem"
mode: '0644'
- name: Copy agent certificate
copy:
src: "{{ a2a_cert_local }}"
dest: "{{ a2a_certs_dir }}/cert.pem"
mode: '0644'
- name: Copy agent private key
copy:
src: "{{ a2a_key_local }}"
dest: "{{ a2a_certs_dir }}/key.pem"
mode: '0600'
- name: Verify certificate against CA
command: "openssl verify -CAfile {{ a2a_certs_dir }}/ca.pem {{ a2a_certs_dir }}/cert.pem"
changed_when: false

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@@ -0,0 +1,92 @@
"""Tests for A2A mutual TLS authentication."""
import os
import tempfile
import shutil
from pathlib import Path
import pytest
from agent.a2a.mtls import (
FleetCA,
verify_peer,
get_cert_info,
generate_fleet_certs,
)
@pytest.fixture
def tmp_ca():
"""Create a temporary CA for testing."""
tmp = tempfile.mkdtemp()
ca_dir = Path(tmp) / "ca"
ca = FleetCA.init(ca_dir)
yield ca
shutil.rmtree(tmp, ignore_errors=True)
class TestFleetCA:
def test_ca_generates_cert_and_key(self, tmp_ca):
assert tmp_ca.ca_cert.exists()
assert tmp_ca.ca_key.exists()
def test_ca_cert_is_ca(self, tmp_ca):
info = get_cert_info(str(tmp_ca.ca_cert))
assert info is not None
assert "CA" in info.subject or "Hermes" in info.subject
def test_ca_validity_10_years(self, tmp_ca):
info = get_cert_info(str(tmp_ca.ca_cert))
assert info is not None
assert info.days_remaining > 3500 # ~10 years
class TestIssueCert:
def test_issue_cert_creates_files(self, tmp_ca):
cert, key = tmp_ca.issue_cert("test-agent")
assert cert.exists()
assert key.exists()
def test_cert_verifies_against_ca(self, tmp_ca):
cert, _ = tmp_ca.issue_cert("test-agent")
assert verify_peer(str(cert), str(tmp_ca.ca_cert))
def test_cert_has_agent_name(self, tmp_ca):
cert, _ = tmp_ca.issue_cert("allegro")
info = get_cert_info(str(cert))
assert info is not None
assert "allegro" in info.subject.lower()
def test_cert_validity_1_year(self, tmp_ca):
cert, _ = tmp_ca.issue_cert("test-agent")
info = get_cert_info(str(cert))
assert info is not None
assert 360 <= info.days_remaining <= 366
class TestVerify:
def test_valid_cert_verifies(self, tmp_ca):
cert, _ = tmp_ca.issue_cert("test-agent")
assert verify_peer(str(cert), str(tmp_ca.ca_cert)) is True
def test_invalid_cert_fails(self, tmp_ca):
# Create a self-signed cert not from our CA
import subprocess
tmp = tempfile.mktemp(suffix=".pem")
subprocess.run(["openssl", "req", "-x509", "-newkey", "rsa:2048",
"-keyout", "/dev/null", "-out", tmp, "-days", "1",
"-subj", "/CN=imposter", "-nodes"],
capture_output=True)
assert verify_peer(tmp, str(tmp_ca.ca_cert)) is False
os.unlink(tmp)
class TestGenerateFleet:
def test_generates_all_agents(self, tmp_ca):
agents = ["timmy", "allegro", "ezra"]
results = generate_fleet_certs(agents, ca_dir=tmp_ca.ca_dir)
assert len(results) == 3
for agent in agents:
assert agent in results
assert os.path.exists(results[agent][0])
assert os.path.exists(results[agent][1])

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@@ -1,94 +0,0 @@
"""Tests for Gemma 4 tool calling hardening."""
import json
import pytest
import sys
from pathlib import Path
sys.path.insert(0, str(Path(__file__).resolve().parent.parent))
from agent.gemma4_tool_hardening import Gemma4ToolParser, Gemma4BenchmarkResult
class TestNativeParse:
def test_standard_tool_calls(self):
parser = Gemma4ToolParser()
text = json.dumps({"tool_calls": [{"id": "call_1", "type": "function", "function": {"name": "read_file", "arguments": '{"path": "test.py"}'}}]})
result = parser.parse(text)
assert len(result) == 1
assert result[0]["function"]["name"] == "read_file"
def test_list_format(self):
parser = Gemma4ToolParser()
text = json.dumps([{"id": "c1", "type": "function", "function": {"name": "terminal", "arguments": '{"command": "ls"}'}}])
result = parser.parse(text)
assert len(result) == 1
class TestJsonBlockParse:
def test_json_code_block(self):
parser = Gemma4ToolParser()
text = 'Here is the tool call:\n```json\n{"name": "read_file", "arguments": {"path": "test.py"}}\n```'
result = parser.parse(text)
assert len(result) == 1
assert result[0]["function"]["name"] == "read_file"
def test_multiple_json_blocks(self):
parser = Gemma4ToolParser()
text = '```json\n{"name": "read_file", "arguments": {"path": "a.py"}}\n```\n```json\n{"name": "read_file", "arguments": {"path": "b.py"}}\n```'
result = parser.parse(text)
assert len(result) == 2
def test_list_in_json_block(self):
parser = Gemma4ToolParser()
text = '```json\n[{"name": "terminal", "arguments": {"command": "ls"}}]\n```'
result = parser.parse(text)
assert len(result) == 1
class TestRegexParse:
def test_function_call_pattern(self):
parser = Gemma4ToolParser()
text = 'I will call read_file({"path": "test.py"}) now.'
result = parser.parse(text)
assert len(result) == 1
assert result[0]["function"]["name"] == "read_file"
def test_gemma_inline_pattern(self):
parser = Gemma4ToolParser()
text = '[tool_call] terminal: {"command": "pwd"}'
result = parser.parse(text)
assert len(result) == 1
class TestHeuristicParse:
def test_heuristic_with_expected_tools(self):
parser = Gemma4ToolParser()
text = 'Calling read_file({"path": "config.yaml"}) now'
result = parser.parse(text, expected_tools=["read_file"])
assert len(result) == 1
def test_heuristic_without_expected_tools(self):
parser = Gemma4ToolParser()
text = 'Some text with {"key": "value"} but no tool name'
result = parser.parse(text)
assert len(result) == 0
class TestBenchmark:
def test_benchmark_counts(self):
parser = Gemma4ToolParser()
parser.parse(json.dumps({"tool_calls": [{"id": "1", "type": "function", "function": {"name": "x", "arguments": "{}"}}]}))
parser.parse('```json\n{"name": "y", "arguments": {}}\n```')
parser.parse('no tool call here')
b = parser.benchmark
assert b.total_calls == 3
assert b.successful_parses == 2
assert abs(b.success_rate - 2/3) < 0.01
def test_report_format(self):
parser = Gemma4ToolParser()
parser.parse(json.dumps({"tool_calls": [{"id": "1", "type": "function", "function": {"name": "x", "arguments": "{}"}}]}))
report = parser.format_report()
assert "Gemma 4 Tool Calling Benchmark" in report
assert "native" in report