Spaces:
Sleeping
Sleeping
Update api.py
Browse files
api.py
CHANGED
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@@ -119,6 +119,7 @@ class AgentProcessor:
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parser = SSEParser()
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citations = []
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metadata = {}
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try:
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async with self.client.stream(
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@@ -145,72 +146,93 @@ class AgentProcessor:
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data = line.split("data:", 1)[1].strip()
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parsed = json.loads(data)
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if parsed.get("event") == "message_end":
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citations = parsed.get("retriever_resources", [])
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metadata = parsed.get("metadata", {})
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self.logger.debug(
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f"Message end event:\n"
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f"Citations: {citations}\n"
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f"Metadata: {metadata}"
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)
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formatted = self.format_terminal_output(
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parsed,
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citations=citations,
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metadata=metadata
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)
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if formatted:
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self.logger.info(formatted)
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except Exception as e:
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await self.log_error(
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e,
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{"line": line, "event": "parse_data"}
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)
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except httpx.ConnectError as e:
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await self.log_error(e, {"event": "connection_error"})
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error_xml = (
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f"<agent_response>"
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f"<error>Connection error: {str(e)}</error>"
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f"</agent_response>"
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)
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yield f"data: {error_xml}\n\n"
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except Exception as e:
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f"<agent_response>"
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f"<error>Streaming error: {str(e)}</error>"
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f"</agent_response>"
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)
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yield f"data: {error_xml}\n\n"
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finally:
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end_time = datetime.now()
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duration = (end_time - start_time).total_seconds()
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self.logger.info(f"Request completed in {duration:.2f} seconds")
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return StreamingResponse(
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event_generator(),
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@@ -227,7 +249,8 @@ class AgentProcessor:
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self,
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response: Dict,
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citations: List[Dict] = None,
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metadata: Dict = None
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) -> Optional[str]:
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"""Format response for terminal output"""
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event_type = response.get("event")
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@@ -239,7 +262,8 @@ class AgentProcessor:
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thought,
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observation,
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citations=citations,
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metadata=metadata
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)
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return terminal_output
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@@ -266,6 +290,60 @@ class AgentProcessor:
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if event_type == "agent_thought":
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thought = response.get("thought", "")
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observation = response.get("observation", "")
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_, xml_output = self.formatter.format_thought(thought, observation)
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return {
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"type": "thought",
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parser = SSEParser()
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citations = []
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metadata = {}
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tool_outputs = []
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try:
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async with self.client.stream(
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data = line.split("data:", 1)[1].strip()
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parsed = json.loads(data)
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# Enhanced mermaid diagram handling
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if parsed.get("observation"):
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try:
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observation = parsed["observation"]
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if isinstance(observation, str):
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if "mermaid_diagram" in observation:
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try:
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# Clean and extract diagram content
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cleaned_content = parser.clean_mermaid_content(
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observation
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)
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# Create tool output without extra wrapping
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tool_output = {
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"type": "mermaid_diagram",
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"content": cleaned_content
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}
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tool_outputs.append(tool_output)
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# Send clean event
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yield (
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"event: tool_output\n"
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f"data: {json.dumps(tool_output)}\n\n"
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)
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except Exception as e:
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self.logger.error(
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f"Failed to process mermaid diagram: {e}"
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)
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except Exception as e:
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self.logger.error(
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f"Error processing observation: {e}"
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)
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if parsed.get("event") == "message_end":
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citations = parsed.get("retriever_resources", [])
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metadata = parsed.get("metadata", {})
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metadata["tool_outputs"] = tool_outputs
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self.logger.debug(
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f"Message end event:\n"
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f"Citations: {citations}\n"
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f"Metadata: {metadata}\n"
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f"Tool outputs: {tool_outputs}"
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)
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formatted = self.format_terminal_output(
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parsed,
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citations=citations,
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metadata=metadata,
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tool_outputs=tool_outputs
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)
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if formatted:
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self.logger.info(formatted)
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yield f"data: {formatted}\n\n"
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except Exception as e:
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await self.log_error(
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e,
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{"line": line, "event": "parse_data"}
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)
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buffer += line + "\n"
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if line.startswith("data:") or buffer.strip().endswith("}"):
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try:
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processed_response = parser.parse_sse_event(buffer)
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if processed_response and isinstance(processed_response, dict):
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cleaned_response = self.clean_response(processed_response)
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if cleaned_response:
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xml_content = cleaned_response.get("content", "")
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yield f"data: {xml_content}\n\n"
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except Exception as parse_error:
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await self.log_error(
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parse_error,
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{"buffer": buffer, "event": "process_buffer"}
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)
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error_xml = (
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f"<agent_response>"
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f"<error>{str(parse_error)}</error>"
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f"</agent_response>"
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)
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yield f"data: {error_xml}\n\n"
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finally:
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buffer = ""
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except Exception as e:
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self.logger.error(f"Stream processing error: {str(e)}")
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yield f"data: {{'error': '{str(e)}'}}\n\n"
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return StreamingResponse(
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event_generator(),
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self,
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response: Dict,
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citations: List[Dict] = None,
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metadata: Dict = None,
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tool_outputs: List[Dict] = None
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) -> Optional[str]:
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"""Format response for terminal output"""
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event_type = response.get("event")
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thought,
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observation,
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citations=citations,
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metadata=metadata,
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tool_outputs=tool_outputs
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)
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return terminal_output
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if event_type == "agent_thought":
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thought = response.get("thought", "")
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observation = response.get("observation", "")
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tool = response.get("tool", "")
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# Handle mermaid diagram observations
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if tool == "mermaid_diagram" and observation:
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try:
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# First check if observation is error message
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if isinstance(observation, str):
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obs_data = json.loads(observation)
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if "mermaid_diagram" in obs_data:
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if obs_data["mermaid_diagram"].startswith("tool invoke error"):
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self.logger.warning(
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f"Mermaid diagram tool error: {obs_data['mermaid_diagram']}"
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)
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return None
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# Handle successful mermaid diagram
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if isinstance(observation, dict):
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mermaid_data = observation.get("mermaid_diagram", "")
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else:
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obs_data = json.loads(observation)
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mermaid_data = obs_data.get("mermaid_diagram", "")
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if mermaid_data:
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# Handle nested JSON structure
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if isinstance(mermaid_data, str):
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mermaid_data = json.loads(mermaid_data)
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# Extract diagram from either format
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if isinstance(mermaid_data, dict):
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diagram = mermaid_data.get("mermaid_diagram", "")
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else:
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diagram = mermaid_data
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# Clean up the diagram code
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if isinstance(diagram, str):
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if "tool response:" in diagram:
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diagram = diagram.split("tool response:")[0]
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if diagram.startswith('{"mermaid_diagram": "'):
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diagram = json.loads(diagram)["mermaid_diagram"]
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if diagram.startswith("```mermaid\n"):
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diagram = diagram[10:]
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if diagram.endswith("\n```"):
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diagram = diagram[:-4]
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return {
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"type": "mermaid_diagram",
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"content": diagram.strip()
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}
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except (json.JSONDecodeError, KeyError) as e:
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self.logger.error(f"Failed to parse mermaid diagram data: {str(e)}")
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self.logger.debug(f"Raw observation: {observation}")
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return None
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# Handle regular thought
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_, xml_output = self.formatter.format_thought(thought, observation)
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return {
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"type": "thought",
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