最新版本的v1/chat/completion不返回正确结果

[strikene]

我们成功使用项目的中的围城完成了索引
当在控制台执行
graphrag query --method local --query "这是我表妹唐晓芙" --root .
输出
INFO: Vector Store Args: {
"type": "lancedb",
"db_uri": "F:\GraphRAGSERVER\output\lancedb",
"container_name": "==== REDACTED ====",
"overwrite": true
}
creating llm client with {'api_key': 'REDACTED,len=35', 'type': "openai_chat", 'encoding_model': 'cl100k_base', 'model': 'deepseek-chat', 'max_tokens': 4000, 'temperature': 0.0, 'top_p': 1.0, 'n': 1, 'frequency_penalty': 0.0, 'presence_penalty': 0.0, 'request_timeout': 180.0, 'api_base': 'https://api.deepseek.com/v1#http://localhost:1234/v1', 'api_version': None, 'organization': None, 'proxy': None, 'audience': None, 'deployment_name': None, 'model_supports_json': True, 'tokens_per_minute': 0, 'requests_per_minute': 0, 'max_retries': 10, 'max_retry_wait': 10.0, 'sleep_on_rate_limit_recommendation': True, 'concurrent_requests': 25, 'responses': None}
creating embedding llm client with {'api_key': 'REDACTED,len=35', 'type': "openai_embedding", 'encoding_model': 'cl100k_base', 'model': 'text-embedding-nomic-embed-text-v1.5', 'max_tokens': 4000, 'temperature': 0, 'top_p': 1, 'n': 1, 'frequency_penalty': 0.0, 'presence_penalty': 0.0, 'request_timeout': 180.0, 'api_base': 'http://localhost:1234/v1', 'api_version': None, 'organization': None, 'proxy': None, 'audience': None, 'deployment_name': None, 'model_supports_json': None, 'tokens_per_minute': 0, 'requests_per_minute': 0, 'max_retries': 10, 'max_retry_wait': 10.0, 'sleep_on_rate_limit_recommendation': True, 'concurrent_requests': 1, 'responses': None}

SUCCESS: Local Search Response:
根据提供的数据，关于唐晓芙的信息较为有限，但可以从相关记录中提取一些细节。唐晓芙在文本中与方鸿渐有互动，两人在社交场合中表现出一定的亲密关系。例如，方鸿渐曾邀请唐晓芙共进晚餐，并表现出对她的关心，询问她是否身体不适[^Data:Sources(17)]。此外，唐晓芙与苏小姐也有一定的关联，苏小姐曾提到唐晓芙的朋友很多，暗示她在社交圈中较为活跃[^Data:Sources(18)]。

然而，关于唐晓芙的背景、性格或更详细的行为描述，目前的数据并未提供足够的信息。如果需要更深入的了解，可能需要查阅更多相关的文本或资料。

(myenv) F:\GraphRAGSERVER>

我请求接口

$Uri="http://127.0.0.1:22222/v1/chat/completions"

$Form = @{
model= "local";
messages= @(@{role='user'; content='这是我表妹唐晓芙'});
"stream"= $false
}
$Result = Invoke-WebRequest -Uri $Uri -Method Post -Body (ConvertTo-Json -InputObject $Form) -Headers @{accept= 'application/json';'Content-Type'='application/json' }
$Result.Content

接口返回
data: {"id":"chatcmpl-6c6079c8c97a4b4ca38e6b58975b4881","choices":[{"delta":{"content":"I am sorry but I am unable to answer this question given the provided data.","function_call":null,"refusal":null,"role":"assistant","tool_calls":null},"finish_re
ason":null,"index":0,"logprobs":null}],"created":1736973579,"model":"global","object":"chat.completion.chunk","service_tier":null,"system_fingerprint":null,"usage":null}

data: {"id":"chatcmpl-6c6079c8c97a4b4ca38e6b58975b4881","choices":[{"delta":{"content":"","function_call":null,"refusal":null,"role":"assistant","tool_calls":null},"finish_reason":"stop","index":2,"logprobs":null}],"created":1736973579,"model":"glob
al","object":"chat.completion.chunk","service_tier":null,"system_fingerprint":null,"usage":null}

data: [DONE]
我不知道是不是我的索引出现了什么问题