From cea8a7e8e7b16cdf2a0258cbf52418de29fcdba8 Mon Sep 17 00:00:00 2001 From: kashishgfuturetech-eng Date: Tue, 17 Mar 2026 10:21:14 +0530 Subject: [PATCH 1/4] Update vite.config.js --- frontend/vite.config.js | 1 + 1 file changed, 1 insertion(+) diff --git a/frontend/vite.config.js b/frontend/vite.config.js index 7cec1a712..85b16c156 100644 --- a/frontend/vite.config.js +++ b/frontend/vite.config.js @@ -7,6 +7,7 @@ export default defineConfig({ server: { port: 3000, open: true, + allowedHosts: ['mirofish-pwse.onrender.com'], proxy: { '/api': { target: 'http://localhost:5001', From 678ee34efa42db5c518f9b88db17cb825555ffa4 Mon Sep 17 00:00:00 2001 From: kashish334 <158836860+kashish334@users.noreply.github.com> Date: Thu, 19 Mar 2026 11:00:29 +0530 Subject: [PATCH 2/4] api fixed --- backend/app/api/graph.py | 17 +- backend/app/config.py | 1 - backend/app/utils/llm_client.py | 38 +- backend/pyproject.toml | 3 +- backend/uv.lock | 984 +------------------------------- frontend/package-lock.json | 4 - 6 files changed, 57 insertions(+), 990 deletions(-) diff --git a/backend/app/api/graph.py b/backend/app/api/graph.py index 12ff1ba2d..31b7e9ef2 100644 --- a/backend/app/api/graph.py +++ b/backend/app/api/graph.py @@ -213,12 +213,19 @@ def generate_ontology(): # 生成本体 logger.info("调用 LLM 生成本体定义...") + # till this point generator = OntologyGenerator() - ontology = generator.generate( - document_texts=document_texts, - simulation_requirement=simulation_requirement, - additional_context=additional_context if additional_context else None - ) + logger.info("OntologyGenerator....................") + try: + ontology = generator.generate( + document_texts=document_texts, + simulation_requirement=simulation_requirement, + additional_context=additional_context if additional_context else None + ) + logger.info("OntologyGenerator try....................") + except Exception as e: + logger.error(f"本体生成失败: {traceback.format_exc()}") # ADD + raise # 保存本体到项目 entity_count = len(ontology.get("entity_types", [])) diff --git a/backend/app/config.py b/backend/app/config.py index 953dfa50a..3f29ca817 100644 --- a/backend/app/config.py +++ b/backend/app/config.py @@ -72,4 +72,3 @@ def validate(cls): if not cls.ZEP_API_KEY: errors.append("ZEP_API_KEY 未配置") return errors - diff --git a/backend/app/utils/llm_client.py b/backend/app/utils/llm_client.py index 6c1a81f49..0235b1866 100644 --- a/backend/app/utils/llm_client.py +++ b/backend/app/utils/llm_client.py @@ -66,7 +66,7 @@ def chat( # 部分模型（如MiniMax M2.5）会在content中包含思考内容，需要移除 content = re.sub(r'[\s\S]*?', '', content).strip() return content - + """ def chat_json( self, messages: List[Dict[str, str]], @@ -74,6 +74,7 @@ def chat_json( max_tokens: int = 4096 ) -> Dict[str, Any]: """ + """ 发送聊天请求并返回JSON Args: @@ -84,6 +85,7 @@ def chat_json( Returns: 解析后的JSON对象 """ + """ response = self.chat( messages=messages, temperature=temperature, @@ -99,5 +101,37 @@ def chat_json( try: return json.loads(cleaned_response) except json.JSONDecodeError: - raise ValueError(f"LLM返回的JSON格式无效: {cleaned_response}") + raise ValueError(f"LLM返回的JSON格式无效: {cleaned_response}")""" + def chat_json( + self, + messages: List[Dict[str, str]], + temperature: float = 0.3, + max_tokens: int = 4096 + ) -> Dict[str, Any]: + # Try with json_object mode first, fall back if unsupported + try: + response = self.chat( + messages=messages, + temperature=temperature, + max_tokens=max_tokens, + response_format={"type": "json_object"} + ) + except Exception: + # Model doesn't support response_format, call without it + response = self.chat( + messages=messages, + temperature=temperature, + max_tokens=max_tokens, + ) + + # Clean markdown fences + cleaned_response = response.strip() + cleaned_response = re.sub(r'^```(?:json)?\s*\n?', '', cleaned_response, flags=re.IGNORECASE) + cleaned_response = re.sub(r'\n?```\s*$', '', cleaned_response) + cleaned_response = cleaned_response.strip() + + try: + return json.loads(cleaned_response) + except json.JSONDecodeError: + raise ValueError(f"LLM返回的JSON格式无效: {cleaned_response[:500]}") diff --git a/backend/pyproject.toml b/backend/pyproject.toml index 4f5361d53..c62abcc37 100644 --- a/backend/pyproject.toml +++ b/backend/pyproject.toml @@ -2,7 +2,7 @@ name = "mirofish-backend" version = "0.1.0" description = "MiroFish - 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allowedHosts: ['mirofish-pwse.onrender.com'], + allowedHosts: [ + 'mirofish-1-bzwu.onrender.com', + 'all' + ], proxy: { '/api': { target: 'http://localhost:5001', From 9d76e2416c0aad46df86b6d88e41f717aa8e2f8e Mon Sep 17 00:00:00 2001 From: kashishgfuturetech-eng Date: Tue, 24 Mar 2026 01:34:41 +0530 Subject: [PATCH 4/4] api modifications --- backend/app/config.py | 10 ++++++---- backend/app/services/simulation_config_generator.py | 1 + backend/app/services/simulation_ipc.py | 2 +- backend/app/services/zep_tools.py | 2 +- backend/app/utils/llm_client.py | 12 +++++++----- 5 files changed, 16 insertions(+), 11 deletions(-) diff --git a/backend/app/config.py b/backend/app/config.py index 3f29ca817..01cd02537 100644 --- a/backend/app/config.py +++ b/backend/app/config.py @@ -29,6 +29,8 @@ class Config: # LLM配置（统一使用OpenAI格式） LLM_API_KEY = os.environ.get('LLM_API_KEY') + LLM_API_KEY_2 = os.environ.get('LLM_API_KEY_2') + LLM_API_KEY_3 = os.environ.get('LLM_API_KEY_3') LLM_BASE_URL = os.environ.get('LLM_BASE_URL', 'https://api.openai.com/v1') LLM_MODEL_NAME = os.environ.get('LLM_MODEL_NAME', 'gpt-4o-mini') @@ -45,7 +47,7 @@ class Config: DEFAULT_CHUNK_OVERLAP = 50 # 默认重叠大小 # OASIS模拟配置 - OASIS_DEFAULT_MAX_ROUNDS = int(os.environ.get('OASIS_DEFAULT_MAX_ROUNDS', '10')) + OASIS_DEFAULT_MAX_ROUNDS = int(os.environ.get('OASIS_DEFAULT_MAX_ROUNDS', '3')) OASIS_SIMULATION_DATA_DIR = os.path.join(os.path.dirname(__file__), '../uploads/simulations') # OASIS平台可用动作配置 @@ -59,9 +61,9 @@ class Config: ] # Report Agent配置 - REPORT_AGENT_MAX_TOOL_CALLS = int(os.environ.get('REPORT_AGENT_MAX_TOOL_CALLS', '5')) - REPORT_AGENT_MAX_REFLECTION_ROUNDS = int(os.environ.get('REPORT_AGENT_MAX_REFLECTION_ROUNDS', '2')) - REPORT_AGENT_TEMPERATURE = float(os.environ.get('REPORT_AGENT_TEMPERATURE', '0.5')) + REPORT_AGENT_MAX_TOOL_CALLS = int(os.environ.get('REPORT_AGENT_MAX_TOOL_CALLS', '1')) + REPORT_AGENT_MAX_REFLECTION_ROUNDS = int(os.environ.get('REPORT_AGENT_MAX_REFLECTION_ROUNDS', '1')) + REPORT_AGENT_TEMPERATURE = float(os.environ.get('REPORT_AGENT_TEMPERATURE', '0.3')) @classmethod def validate(cls): diff --git a/backend/app/services/simulation_config_generator.py b/backend/app/services/simulation_config_generator.py index cc362508b..68d5544c2 100644 --- a/backend/app/services/simulation_config_generator.py +++ b/backend/app/services/simulation_config_generator.py @@ -227,6 +227,7 @@ def __init__( base_url: Optional[str] = None, model_name: Optional[str] = None ): + self.api_key = api_key or Config.LLM_API_KEY self.base_url = base_url or Config.LLM_BASE_URL self.model_name = model_name or Config.LLM_MODEL_NAME diff --git a/backend/app/services/simulation_ipc.py b/backend/app/services/simulation_ipc.py index 9d70d0bea..fe2e47449 100644 --- a/backend/app/services/simulation_ipc.py +++ b/backend/app/services/simulation_ipc.py @@ -118,7 +118,7 @@ def send_command( self, command_type: CommandType, args: Dict[str, Any], - timeout: float = 60.0, + timeout: float = 300.0, poll_interval: float = 0.5 ) -> IPCResponse: """ diff --git a/backend/app/services/zep_tools.py b/backend/app/services/zep_tools.py index 384cf540f..1746f145d 100644 --- a/backend/app/services/zep_tools.py +++ b/backend/app/services/zep_tools.py @@ -1380,7 +1380,7 @@ def interview_agents( simulation_id=simulation_id, interviews=interviews_request, platform=None, # 不指定platform，双平台采访 - timeout=180.0 # 双平台需要更长超时 + timeout=300.0 # 双平台需要更长超时 ) logger.info(f"采访API返回: {api_result.get('interviews_count', 0)} 个结果, success={api_result.get('success')}") diff --git a/backend/app/utils/llm_client.py b/backend/app/utils/llm_client.py index 0235b1866..2b900dd82 100644 --- a/backend/app/utils/llm_client.py +++ b/backend/app/utils/llm_client.py @@ -12,7 +12,7 @@ class LLMClient: - """LLM客户端""" + #LLM客户端 def __init__( self, @@ -39,8 +39,9 @@ def chat( max_tokens: int = 4096, response_format: Optional[Dict] = None ) -> str: + """ - 发送聊天请求 + .....发送聊天请求 Args: messages: 消息列表 @@ -49,7 +50,7 @@ def chat( response_format: 响应格式（如JSON模式） Returns: - 模型响应文本 + 模型响应文本...... """ kwargs = { "model": self.model, @@ -67,7 +68,7 @@ def chat( content = re.sub(r'[\s\S]*?', '', content).strip() return content """ - def chat_json( + ....def chat_json( self, messages: List[Dict[str, str]], temperature: float = 0.3, @@ -101,7 +102,8 @@ def chat_json( try: return json.loads(cleaned_response) except json.JSONDecodeError: - raise ValueError(f"LLM返回的JSON格式无效: {cleaned_response}")""" + raise ValueError(f"LLM返回的JSON格式无效: {cleaned_response}").....""" + def chat_json( self, messages: List[Dict[str, str]],