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Author SHA1 Message Date
Alexander Whitestone
3ce1f829a2 fix: extend JSON repair to browser tool and CLI (#862)
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- repair malformed browser command envelopes before treating stdout as non-JSON
- repair eval/image payloads in browser_tool.py
- repair CLI parsing for vision and /cron tool responses
- add focused regression tests for browser and CLI repair paths
2026-04-22 11:42:33 -04:00
6 changed files with 273 additions and 372 deletions

16
cli.py
View File

@@ -589,6 +589,7 @@ from tools.terminal_tool import set_sudo_password_callback, set_approval_callbac
from tools.skills_tool import set_secret_capture_callback
from hermes_cli.callbacks import prompt_for_secret
from tools.browser_tool import _emergency_cleanup_all_sessions as _cleanup_all_browsers
from utils import repair_and_load_json
# Guard to prevent cleanup from running multiple times on exit
_cleanup_done = False
@@ -3569,7 +3570,11 @@ class HermesCLI:
result_json = _asyncio.run(
vision_analyze_tool(image_url=str(img_path), user_prompt=analysis_prompt)
)
result = _json.loads(result_json)
result = repair_and_load_json(
result_json,
default={},
context="cli_image_analysis",
) if isinstance(result_json, str) else {}
if result.get("success"):
description = result.get("analysis", "")
enriched_parts.append(
@@ -4960,7 +4965,14 @@ class HermesCLI:
from tools.cronjob_tools import cronjob as cronjob_tool
def _cron_api(**kwargs):
return json.loads(cronjob_tool(**kwargs))
result = repair_and_load_json(
cronjob_tool(**kwargs),
default=None,
context="cli_cron_command",
)
if isinstance(result, dict):
return result
return {"success": False, "error": "Invalid JSON from cronjob tool"}
def _normalize_skills(values):
normalized = []

View File

@@ -20,7 +20,6 @@ Usage:
response = agent.run_conversation("Tell me about the latest Python updates")
"""
import ast
import asyncio
import base64
import concurrent.futures
@@ -3329,119 +3328,6 @@ class AIAgent:
_VALID_API_ROLES = frozenset({"system", "user", "assistant", "tool", "function", "developer"})
@staticmethod
def _normalize_tool_call_arguments(arguments: Any) -> tuple[str, bool]:
"""Return ``(normalized_text, is_complete)`` for tool-call arguments.
Conservative by design: repairs harmless formatting quirks common in
Gemma 4 / Ollama output (whitespace, trailing commas, Python-style
single-quoted dicts, bare key/value pairs) but does NOT auto-close
truncated JSON objects. Truly incomplete fragments must remain marked
incomplete so the agent can retry instead of silently dropping fields.
"""
if isinstance(arguments, (dict, list)):
return json.dumps(arguments, ensure_ascii=False, separators=(",", ":")), True
if arguments is None:
return "{}", True
if not isinstance(arguments, str):
arguments = str(arguments)
text = arguments.strip()
if not text:
return "{}", True
def _parse_candidate(candidate: str):
try:
return json.loads(candidate)
except (json.JSONDecodeError, TypeError, ValueError):
pass
try:
return ast.literal_eval(candidate)
except (SyntaxError, ValueError):
return None
candidates: list[str] = [text]
trimmed_trailing_commas = re.sub(r",\s*([}\]])", r"\1", text)
if trimmed_trailing_commas != text:
candidates.append(trimmed_trailing_commas)
if ":" in text and not text.startswith(("{", "[")):
wrapped = "{" + text + "}"
candidates.append(wrapped)
quoted_keys = re.sub(
r'([\{,]\s*)([A-Za-z_][A-Za-z0-9_\-]*)(\s*:)',
r'\1"\2"\3',
wrapped,
)
if quoted_keys != wrapped:
candidates.append(quoted_keys)
trimmed_quoted_keys = re.sub(r",\s*([}\]])", r"\1", quoted_keys)
if trimmed_quoted_keys != quoted_keys:
candidates.append(trimmed_quoted_keys)
seen: set[str] = set()
for candidate in candidates:
if candidate in seen:
continue
seen.add(candidate)
parsed = _parse_candidate(candidate)
if isinstance(parsed, (dict, list)):
return json.dumps(parsed, ensure_ascii=False, separators=(",", ":")), True
return text, False
@staticmethod
def _merge_consecutive_assistant_tool_call_messages(messages: List[Dict[str, Any]]) -> List[Dict[str, Any]]:
"""Merge adjacent assistant messages that each carry tool_calls.
Some providers emit parallel tool calls as multiple consecutive assistant
messages instead of a single assistant message with multiple tool calls.
Merge only adjacent assistant/tool-call messages; any non-assistant
boundary flushes the current batch.
"""
merged: List[Dict[str, Any]] = []
pending: Optional[Dict[str, Any]] = None
def _flush_pending() -> None:
nonlocal pending
if pending is not None:
merged.append(pending)
pending = None
for msg in messages:
if not isinstance(msg, dict):
_flush_pending()
merged.append(msg)
continue
role = msg.get("role")
tool_calls = msg.get("tool_calls")
if role == "assistant" and isinstance(tool_calls, list) and tool_calls:
if pending is None:
pending = copy.deepcopy(msg)
continue
pending_tool_calls = pending.get("tool_calls")
if not isinstance(pending_tool_calls, list):
pending_tool_calls = []
pending["tool_calls"] = pending_tool_calls
pending_tool_calls.extend(copy.deepcopy(tool_calls))
pending_content = pending.get("content") or ""
current_content = msg.get("content") or ""
if pending_content and current_content:
pending["content"] = pending_content + "\n" + current_content
elif current_content:
pending["content"] = current_content
continue
_flush_pending()
merged.append(msg)
_flush_pending()
return merged
@staticmethod
def _sanitize_api_messages(messages: List[Dict[str, Any]]) -> List[Dict[str, Any]]:
"""Fix orphaned tool_call / tool_result pairs before every LLM call.
@@ -3461,7 +3347,7 @@ class AIAgent:
)
continue
filtered.append(msg)
messages = AIAgent._merge_consecutive_assistant_tool_call_messages(filtered)
messages = filtered
surviving_call_ids: set = set()
for msg in messages:
@@ -5368,9 +5254,12 @@ class AIAgent:
mock_tool_calls = []
for idx in sorted(tool_calls_acc):
tc = tool_calls_acc[idx]
arguments, is_complete = self._normalize_tool_call_arguments(tc["function"]["arguments"])
if not is_complete:
has_truncated_tool_args = True
arguments = tc["function"]["arguments"]
if arguments and arguments.strip():
try:
json.loads(arguments)
except json.JSONDecodeError:
has_truncated_tool_args = True
mock_tool_calls.append(SimpleNamespace(
id=tc["id"],
type=tc["type"],
@@ -6674,7 +6563,6 @@ class AIAgent:
response_item_id if isinstance(response_item_id, str) else None,
)
normalized_args, _ = self._normalize_tool_call_arguments(tool_call.function.arguments)
tc_dict = {
"id": call_id,
"call_id": call_id,
@@ -6682,7 +6570,7 @@ class AIAgent:
"type": tool_call.type,
"function": {
"name": tool_call.function.name,
"arguments": normalized_args,
"arguments": tool_call.function.arguments
},
}
# Preserve extra_content (e.g. Gemini thought_signature) so it
@@ -10143,15 +10031,21 @@ class AIAgent:
# Handle empty strings as empty objects (common model quirk)
invalid_json_args = []
for tc in assistant_message.tool_calls:
normalized_args, is_complete = self._normalize_tool_call_arguments(tc.function.arguments)
tc.function.arguments = normalized_args
if not is_complete:
try:
json.loads(normalized_args)
except json.JSONDecodeError as e:
invalid_json_args.append((tc.function.name, str(e)))
except Exception as e:
invalid_json_args.append((tc.function.name, str(e)))
args = tc.function.arguments
if isinstance(args, (dict, list)):
tc.function.arguments = json.dumps(args)
continue
if args is not None and not isinstance(args, str):
tc.function.arguments = str(args)
args = tc.function.arguments
# Treat empty/whitespace strings as empty object
if not args or not args.strip():
tc.function.arguments = "{}"
continue
try:
json.loads(args)
except json.JSONDecodeError as e:
invalid_json_args.append((tc.function.name, str(e)))
if invalid_json_args:
# Check if the invalid JSON is due to truncation rather

View File

@@ -0,0 +1,62 @@
import sys
import types
from unittest.mock import patch
def _stub_auxiliary_client():
stub = types.ModuleType("agent.auxiliary_client")
stub.call_llm = lambda *args, **kwargs: None
stub.resolve_provider_client = lambda *args, **kwargs: (None, None)
stub.get_text_auxiliary_client = lambda *args, **kwargs: (None, None)
stub.async_call_llm = lambda *args, **kwargs: None
stub.extract_content_or_reasoning = lambda *args, **kwargs: ""
stub._OR_HEADERS = {}
stub._get_task_timeout = lambda *args, **kwargs: 30
sys.modules["agent.auxiliary_client"] = stub
def _stub_vision_tools(vision_analyze_tool):
stub = types.ModuleType("tools.vision_tools")
stub.vision_analyze_tool = vision_analyze_tool
sys.modules["tools.vision_tools"] = stub
def test_preprocess_images_with_vision_repairs_malformed_json(tmp_path):
_stub_auxiliary_client()
from cli import HermesCLI
cli_obj = HermesCLI.__new__(HermesCLI)
image_path = tmp_path / "test.png"
image_path.write_bytes(b"fake-image-bytes")
async def fake_vision(**kwargs):
return "{'success': true, 'analysis': 'Recovered image description',}"
_stub_vision_tools(fake_vision)
result = HermesCLI._preprocess_images_with_vision(
cli_obj,
"Describe this",
[image_path],
announce=False,
)
assert "Recovered image description" in result
assert "Describe this" in result
assert str(image_path) in result
def test_handle_cron_command_repairs_malformed_json(capsys):
_stub_auxiliary_client()
from cli import HermesCLI
cli_obj = HermesCLI.__new__(HermesCLI)
malformed_result = """{'success': true, 'jobs': [{'job_id': 'job-1234567890ab', 'name': 'Nightly Check', 'state': 'scheduled', 'schedule': 'every 1h', 'repeat': 'forever', 'prompt_preview': 'Check server status', 'skills': ['blogwatcher',], 'next_run_at': '2026-04-22T01:00:00Z',},],}"""
with patch("tools.cronjob_tools.cronjob", return_value=malformed_result):
HermesCLI._handle_cron_command(cli_obj, "/cron list")
out = capsys.readouterr().out
assert "Scheduled Jobs:" in out
assert "job-1234567890ab" in out
assert "Nightly Check" in out
assert "blogwatcher" in out

View File

@@ -1037,138 +1037,6 @@ class TestBuildAssistantMessage:
result = agent._build_assistant_message(msg, "tool_calls")
assert "extra_content" not in result["tool_calls"][0]
def test_tool_call_arguments_normalized_from_gemma4_whitespace(self, agent):
tc = _mock_tool_call(
name="read_file",
arguments=' \n {"path": "README.md"} \n ',
call_id="c4",
)
msg = _mock_assistant_msg(content="", tool_calls=[tc])
result = agent._build_assistant_message(msg, "tool_calls")
assert result["tool_calls"][0]["function"]["arguments"] == '{"path":"README.md"}'
def test_tool_call_arguments_normalized_from_single_quotes_and_trailing_comma(self, agent):
tc = _mock_tool_call(
name="read_file",
arguments="{'path': 'README.md',}",
call_id="c5",
)
msg = _mock_assistant_msg(content="", tool_calls=[tc])
result = agent._build_assistant_message(msg, "tool_calls")
assert result["tool_calls"][0]["function"]["arguments"] == '{"path":"README.md"}'
class TestNormalizeToolCallArguments:
@pytest.mark.parametrize(
("raw_args", "expected"),
[
('{"q":"test"}', '{"q":"test"}'),
(' \n {"q": "test"} \n ', '{"q":"test"}'),
('{"q": "test",}', '{"q":"test"}'),
("{'q': 'test'}", '{"q":"test"}'),
("{'path': 'README.md', 'mode': 'read'}", '{"path":"README.md","mode":"read"}'),
('"path": "README.md"', '{"path":"README.md"}'),
('path: "README.md"', '{"path":"README.md"}'),
('path: "README.md", mode: "read"', '{"path":"README.md","mode":"read"}'),
({"path": "README.md"}, '{"path":"README.md"}'),
(["README.md", "docs.md"], '["README.md","docs.md"]'),
('\t\n ', '{}'),
('{"nested": {"path": "README.md"}}', '{"nested":{"path":"README.md"}}'),
],
)
def test_complete_args_are_normalized(self, raw_args, expected):
normalized, is_complete = AIAgent._normalize_tool_call_arguments(raw_args)
assert is_complete is True
assert normalized == expected
@pytest.mark.parametrize(
"raw_args",
[
'{"path": "README.md"',
'{"a": 1, "b"',
'{"path": [1, 2}',
"{'path': 'README.md'",
'path: "README.md", mode:',
'{"command": "echo hello",',
],
)
def test_incomplete_args_are_not_marked_complete(self, raw_args):
normalized, is_complete = AIAgent._normalize_tool_call_arguments(raw_args)
assert is_complete is False
assert isinstance(normalized, str)
assert normalized == raw_args.strip()
class TestSanitizeApiMessages:
def test_merges_consecutive_assistant_tool_call_messages(self):
messages = [
{
"role": "assistant",
"content": "first",
"tool_calls": [{"id": "c1", "type": "function", "function": {"name": "read_file", "arguments": '{"path":"a.py"}'}}],
},
{
"role": "assistant",
"content": "second",
"tool_calls": [{"id": "c2", "type": "function", "function": {"name": "search_files", "arguments": '{"pattern":"TODO"}'}}],
},
{"role": "tool", "tool_call_id": "c1", "content": "a.py"},
{"role": "tool", "tool_call_id": "c2", "content": "matches"},
]
sanitized = AIAgent._sanitize_api_messages(messages)
assert len(sanitized) == 3
assert sanitized[0]["role"] == "assistant"
assert [tc["id"] for tc in sanitized[0]["tool_calls"]] == ["c1", "c2"]
assert sanitized[0]["content"] == "first\nsecond"
def test_does_not_merge_assistant_tool_call_messages_across_non_assistant_boundary(self):
messages = [
{
"role": "assistant",
"content": "",
"tool_calls": [{"id": "c1", "type": "function", "function": {"name": "read_file", "arguments": '{"path":"a.py"}'}}],
},
{"role": "tool", "tool_call_id": "c1", "content": "a.py"},
{
"role": "assistant",
"content": "",
"tool_calls": [{"id": "c2", "type": "function", "function": {"name": "read_file", "arguments": '{"path":"b.py"}'}}],
},
{"role": "tool", "tool_call_id": "c2", "content": "b.py"},
]
sanitized = AIAgent._sanitize_api_messages(messages)
assistant_msgs = [m for m in sanitized if m.get("role") == "assistant"]
assert len(assistant_msgs) == 2
assert assistant_msgs[0]["tool_calls"][0]["id"] == "c1"
assert assistant_msgs[1]["tool_calls"][0]["id"] == "c2"
def test_merge_preserves_tool_call_order(self):
messages = [
{
"role": "assistant",
"content": "",
"tool_calls": [{"id": "c1", "type": "function", "function": {"name": "read_file", "arguments": '{"path":"a.py"}'}}],
},
{
"role": "assistant",
"content": "",
"tool_calls": [{"id": "c2", "type": "function", "function": {"name": "read_file", "arguments": '{"path":"b.py"}'}}],
},
{
"role": "assistant",
"content": "",
"tool_calls": [{"id": "c3", "type": "function", "function": {"name": "read_file", "arguments": '{"path":"c.py"}'}}],
},
]
sanitized = AIAgent._sanitize_api_messages(messages)
assert [tc["id"] for tc in sanitized[0]["tool_calls"]] == ["c1", "c2", "c3"]
class TestFormatToolsForSystemMessage:
def test_no_tools_returns_empty_array(self, agent):
@@ -3599,59 +3467,6 @@ class TestStreamingApiCall:
assert tc[0].function.arguments == '{"path":"x.txt","content":"hel'
assert resp.choices[0].finish_reason == "length"
@pytest.mark.parametrize(
("raw_arguments", "expected"),
[
(' \n {"path": "x.txt"} \n ', '{"path":"x.txt"}'),
("{'path': 'x.txt',}", '{"path":"x.txt"}'),
('path: "x.txt", mode: "read"', '{"path":"x.txt","mode":"read"}'),
],
)
def test_repairable_tool_call_args_do_not_upgrade_finish_reason_to_length(self, agent, raw_arguments, expected):
chunks = [
_make_chunk(tool_calls=[_make_tc_delta(0, "call_1", "read_file", raw_arguments)]),
_make_chunk(finish_reason="tool_calls"),
]
agent.client.chat.completions.create.return_value = iter(chunks)
resp = agent._interruptible_streaming_api_call({"messages": []})
tc = resp.choices[0].message.tool_calls
assert len(tc) == 1
assert tc[0].function.name == "read_file"
assert tc[0].function.arguments == expected
assert resp.choices[0].finish_reason == "tool_calls"
def test_streamed_tool_call_args_single_quotes_across_chunks_normalized(self, agent):
chunks = [
_make_chunk(tool_calls=[_make_tc_delta(0, "call_1", "read_file", "{'path':")]),
_make_chunk(tool_calls=[_make_tc_delta(0, None, None, " 'x.txt',}")]),
_make_chunk(finish_reason="tool_calls"),
]
agent.client.chat.completions.create.return_value = iter(chunks)
resp = agent._interruptible_streaming_api_call({"messages": []})
tc = resp.choices[0].message.tool_calls
assert len(tc) == 1
assert tc[0].function.arguments == '{"path":"x.txt"}'
assert resp.choices[0].finish_reason == "tool_calls"
def test_streamed_split_json_chunks_still_reassemble(self, agent):
chunks = [
_make_chunk(tool_calls=[_make_tc_delta(0, "call_1", "read_file", '{"path":')]),
_make_chunk(tool_calls=[_make_tc_delta(0, None, None, ' "x.txt"}')]),
_make_chunk(finish_reason="tool_calls"),
]
agent.client.chat.completions.create.return_value = iter(chunks)
resp = agent._interruptible_streaming_api_call({"messages": []})
tc = resp.choices[0].message.tool_calls
assert len(tc) == 1
assert tc[0].function.arguments == '{"path":"x.txt"}'
assert resp.choices[0].finish_reason == "tool_calls"
def test_ollama_reused_index_separate_tool_calls(self, agent):
"""Ollama sends every tool call at index 0 with different ids.

View File

@@ -0,0 +1,108 @@
import io
import json
import sys
import types
from unittest.mock import MagicMock, patch
def _stub_auxiliary_client():
stub = types.ModuleType("agent.auxiliary_client")
stub.call_llm = lambda *args, **kwargs: None
stub.resolve_provider_client = lambda *args, **kwargs: (None, None)
stub.get_text_auxiliary_client = lambda *args, **kwargs: (None, None)
stub.async_call_llm = lambda *args, **kwargs: None
stub.extract_content_or_reasoning = lambda *args, **kwargs: ""
stub._OR_HEADERS = {}
stub._get_task_timeout = lambda *args, **kwargs: 30
sys.modules["agent.auxiliary_client"] = stub
def test_run_browser_command_repairs_malformed_stdout_envelope(tmp_path):
_stub_auxiliary_client()
from tools.browser_tool import _run_browser_command
mock_proc = MagicMock()
mock_proc.returncode = 0
mock_proc.wait.return_value = 0
fake_session = {
"session_name": "test-session",
"session_id": "test-id",
"cdp_url": None,
}
malformed_stdout = "{'success': true, 'data': {'url': 'https://example.com',},}"
def fake_open(path, mode="r", *args, **kwargs):
path = str(path)
if path.endswith("_stdout_navigate"):
return io.StringIO(malformed_stdout)
if path.endswith("_stderr_navigate"):
return io.StringIO("")
raise FileNotFoundError(path)
with (
patch("tools.browser_tool._find_agent_browser", return_value="/usr/bin/agent-browser"),
patch("tools.browser_tool._get_session_info", return_value=fake_session),
patch("tools.browser_tool._socket_safe_tmpdir", return_value=str(tmp_path)),
patch("tools.browser_tool._merge_browser_path", side_effect=lambda p: p),
patch("tools.interrupt.is_interrupted", return_value=False),
patch("subprocess.Popen", return_value=mock_proc),
patch("os.open", return_value=99),
patch("os.close"),
patch("os.unlink"),
patch("builtins.open", side_effect=fake_open),
):
result = _run_browser_command("task-1", "navigate", ["https://example.com"])
assert result["success"] is True
assert result["data"]["url"] == "https://example.com"
def test_agent_browser_eval_repairs_malformed_json_result():
_stub_auxiliary_client()
from tools.browser_tool import _browser_eval
with patch(
"tools.browser_tool._run_browser_command",
return_value={"success": True, "data": {"result": "{'items': ['a', 'b',],}"}},
):
result = json.loads(_browser_eval("document.body.innerText", task_id="test"))
assert result["success"] is True
assert result["result"] == {"items": ["a", "b"]}
assert result["result_type"] == "dict"
def test_camofox_eval_repairs_malformed_json_result():
_stub_auxiliary_client()
from tools.browser_tool import _camofox_eval
with (
patch("tools.browser_camofox._ensure_tab", return_value={"tab_id": "tab-1", "user_id": "user-1"}),
patch("tools.browser_camofox._post", return_value={"result": "{'count': 3,}"}),
):
result = json.loads(_camofox_eval("2+1", task_id="test"))
assert result["success"] is True
assert result["result"] == {"count": 3}
assert result["result_type"] == "dict"
def test_browser_get_images_repairs_malformed_json_result():
_stub_auxiliary_client()
from tools.browser_tool import browser_get_images
with patch(
"tools.browser_tool._run_browser_command",
return_value={
"success": True,
"data": {
"result": "[{\"src\": \"https://example.com/cat.png\", \"alt\": \"cat\",}]"
},
},
):
result = json.loads(browser_get_images(task_id="test"))
assert result["success"] is True
assert result["count"] == 1
assert result["images"] == [{"src": "https://example.com/cat.png", "alt": "cat"}]
assert "warning" not in result

View File

@@ -67,6 +67,7 @@ from typing import Dict, Any, Optional, List
from pathlib import Path
from agent.auxiliary_client import call_llm
from hermes_constants import get_hermes_home
from utils import repair_and_load_json
try:
from tools.website_policy import check_website_access
@@ -1171,8 +1172,12 @@ def _run_browser_command(
return {"success": False, "error": f"Browser command '{command}' returned no output"}
if stdout_text:
try:
parsed = json.loads(stdout_text)
parsed = repair_and_load_json(
stdout_text,
default=None,
context=f"browser_{command}_stdout",
)
if isinstance(parsed, dict):
# Warn if snapshot came back empty (common sign of daemon/CDP issues)
if command == "snapshot" and parsed.get("success"):
snap_data = parsed.get("data", {})
@@ -1181,35 +1186,35 @@ def _run_browser_command(
"Possible stale daemon or CDP connection issue. "
"returncode=%s", returncode)
return parsed
except json.JSONDecodeError:
raw = stdout_text[:2000]
logger.warning("browser '%s' returned non-JSON output (rc=%s): %s",
command, returncode, raw[:500])
if command == "screenshot":
stderr_text = (stderr or "").strip()
combined_text = "\n".join(
part for part in [stdout_text, stderr_text] if part
raw = stdout_text[:2000]
logger.warning("browser '%s' returned non-JSON output (rc=%s): %s",
command, returncode, raw[:500])
if command == "screenshot":
stderr_text = (stderr or "").strip()
combined_text = "\n".join(
part for part in [stdout_text, stderr_text] if part
)
recovered_path = _extract_screenshot_path_from_text(combined_text)
if recovered_path and Path(recovered_path).exists():
logger.info(
"browser 'screenshot' recovered file from non-JSON output: %s",
recovered_path,
)
recovered_path = _extract_screenshot_path_from_text(combined_text)
return {
"success": True,
"data": {
"path": recovered_path,
"raw": raw,
},
}
if recovered_path and Path(recovered_path).exists():
logger.info(
"browser 'screenshot' recovered file from non-JSON output: %s",
recovered_path,
)
return {
"success": True,
"data": {
"path": recovered_path,
"raw": raw,
},
}
return {
"success": False,
"error": f"Non-JSON output from agent-browser for '{command}': {raw}"
}
return {
"success": False,
"error": f"Non-JSON output from agent-browser for '{command}': {raw}"
}
# Check for errors
if returncode != 0:
@@ -1777,10 +1782,11 @@ def _browser_eval(expression: str, task_id: Optional[str] = None) -> str:
# is valid JSON, parse it so the model gets structured data.
parsed = raw_result
if isinstance(raw_result, str):
try:
parsed = json.loads(raw_result)
except (json.JSONDecodeError, ValueError):
pass # keep as string
parsed = repair_and_load_json(
raw_result,
default=raw_result,
context="browser_eval_result",
)
return json.dumps({
"success": True,
@@ -1801,10 +1807,11 @@ def _camofox_eval(expression: str, task_id: Optional[str] = None) -> str:
raw_result = resp.get("result") if isinstance(resp, dict) else resp
parsed = raw_result
if isinstance(raw_result, str):
try:
parsed = json.loads(raw_result)
except (json.JSONDecodeError, ValueError):
pass
parsed = repair_and_load_json(
raw_result,
default=raw_result,
context="camofox_eval_result",
)
return json.dumps({
"success": True,
@@ -1904,26 +1911,29 @@ def browser_get_images(task_id: Optional[str] = None) -> str:
if result.get("success"):
data = result.get("data", {})
raw_result = data.get("result", "[]")
try:
# Parse the JSON string returned by JavaScript
if isinstance(raw_result, str):
images = json.loads(raw_result)
else:
images = raw_result
return json.dumps({
"success": True,
"images": images,
"count": len(images)
}, ensure_ascii=False)
except json.JSONDecodeError:
return json.dumps({
"success": True,
"images": [],
"count": 0,
"warning": "Could not parse image data"
}, ensure_ascii=False)
warning = None
if isinstance(raw_result, str):
images = repair_and_load_json(
raw_result,
default=None,
context="browser_get_images_result",
)
else:
images = raw_result
if not isinstance(images, list):
images = []
warning = "Could not parse image data"
payload = {
"success": True,
"images": images,
"count": len(images),
}
if warning:
payload["warning"] = warning
return json.dumps(payload, ensure_ascii=False)
else:
return json.dumps({
"success": False,