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Merge pull request #131 from GiGiDKR/feat-local_support_with_UTF-8_encoding-update

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feat: local support with utf 8 encoding
This commit is contained in:
Beehive Innovations
2025-06-27 08:02:14 -07:00
committed by GitHub
parent ca8479acc1 e22fff27c9
commit 7f6a37a7b9
25 changed files with 1845 additions and 75 deletions
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20
tools/workflow/workflow_mixin.py
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@@ -715,7 +715,7 @@ class BaseWorkflowMixin(ABC):
if continuation_id:
self.store_conversation_turn(continuation_id, response_data, request)
return [TextContent(type="text", text=json.dumps(response_data, indent=2))]
return [TextContent(type="text", text=json.dumps(response_data, indent=2, ensure_ascii=False))]
except Exception as e:
logger.error(f"Error in {self.get_name()} work: {e}", exc_info=True)
@@ -728,7 +728,7 @@ class BaseWorkflowMixin(ABC):
# Add metadata to error responses too
self._add_workflow_metadata(error_data, arguments)
return [TextContent(type="text", text=json.dumps(error_data, indent=2))]
return [TextContent(type="text", text=json.dumps(error_data, indent=2, ensure_ascii=False))]
# Hook methods for tool customization
@@ -1233,7 +1233,7 @@ class BaseWorkflowMixin(ABC):
# - file_context (internal optimization info)
# - required_actions (internal workflow instructions)
return json.dumps(clean_data, indent=2)
return json.dumps(clean_data, indent=2, ensure_ascii=False)
# Core workflow logic methods
@@ -1265,7 +1265,9 @@ class BaseWorkflowMixin(ABC):
# Promote the special status to the main response
special_status = expert_analysis["status"]
response_data["status"] = special_status
response_data["content"] = expert_analysis.get("raw_analysis", json.dumps(expert_analysis))
response_data["content"] = expert_analysis.get(
"raw_analysis", json.dumps(expert_analysis, ensure_ascii=False)
)
del response_data["expert_analysis"]
# Update next steps for special status
@@ -1524,20 +1526,22 @@ class BaseWorkflowMixin(ABC):
error_data = {"status": "error", "content": "No arguments provided"}
# Add basic metadata even for validation errors
error_data["metadata"] = {"tool_name": self.get_name()}
return [TextContent(type="text", text=json.dumps(error_data))]
return [TextContent(type="text", text=json.dumps(error_data, ensure_ascii=False))]
# Delegate to execute_workflow
return await self.execute_workflow(arguments)
except Exception as e:
logger.error(f"Error in {self.get_name()} tool execution: {e}", exc_info=True)
error_data = {"status": "error", "content": f"Error in {self.get_name()}: {str(e)}"}
# Add metadata to error responses
error_data = {
"status": "error",
"content": f"Error in {self.get_name()}: {str(e)}",
} # Add metadata to error responses
self._add_workflow_metadata(error_data, arguments)
return [
TextContent(
type="text",
text=json.dumps(error_data),
text=json.dumps(error_data, ensure_ascii=False),
)
]