备份

config.yaml

@@ -1,5 +1,5 @@
 # LiteLLM Azure Container Apps 生产配置
-# 支持 Taiji AI Cloud 和 OpenRouter 模型供应商
+# 支持 Taiji AI Cloud、OpenRouter、XMind 和 Databricks 模型供应商
 # 自动生成 - 包含所有模型的显式配置
 
 # =============================================================================
@@ -4696,6 +4696,45 @@ model_list:
     model_info:
       disable_background_health_check: true
 
+  # -------------------------------------------------------------------------
+  # Databricks 模型（Anthropic Messages API 兼容）
+  # 总计: 4 个模型
+  # 端点: https://adb-7405604858124224.4.azuredatabricks.net/serving-endpoints/anthropic/v1/messages
+  # 请求头: Authorization: Bearer {api_key}
+  # 注意: 使用 Anthropic Messages API 格式
+  # -------------------------------------------------------------------------
+  - model_name: databricks/claude-haiku-4-5
+    litellm_params:
+      model: anthropic/databricks-claude-haiku-4-5
+      api_base: https://adb-7405604858124224.4.azuredatabricks.net/serving-endpoints/anthropic/v1
+      api_key: os.environ/DATABRICKS_TOKEN
+    model_info:
+      disable_background_health_check: true
+
+  - model_name: databricks/claude-opus-4-5
+    litellm_params:
+      model: anthropic/databricks-claude-opus-4-5
+      api_base: https://adb-7405604858124224.4.azuredatabricks.net/serving-endpoints/anthropic/v1
+      api_key: os.environ/DATABRICKS_TOKEN
+    model_info:
+      disable_background_health_check: true
+
+  - model_name: databricks/claude-sonnet-4-5
+    litellm_params:
+      model: anthropic/databricks-claude-sonnet-4-5
+      api_base: https://adb-7405604858124224.4.azuredatabricks.net/serving-endpoints/anthropic/v1
+      api_key: os.environ/DATABRICKS_TOKEN
+    model_info:
+      disable_background_health_check: true
+
+  - model_name: databricks/claude-opus-4-1
+    litellm_params:
+      model: anthropic/databricks-claude-opus-4-1
+      api_base: https://adb-7405604858124224.4.azuredatabricks.net/serving-endpoints/anthropic/v1
+      api_key: os.environ/DATABRICKS_TOKEN
+    model_info:
+      disable_background_health_check: true
+
 # =============================================================================
 # 路由器设置
 # =============================================================================
@@ -4726,6 +4765,7 @@ router_settings:
 # - REDIS_SSL: 是否启用 Redis SSL（true/false）
 # - TAIJI_API_KEY: Taiji AI Cloud API 密钥
 # - OPENROUTER_API_KEY: OpenRouter API 密钥
+# - DATABRICKS_TOKEN: Databricks Personal Access Token (PAT)
 # - XMIND_API_KEY_OPENAI: XMind OpenAI 兼容 API 密钥（默认: 6b761f38b4bf4c829390d82a43f8f32f）
 # - XMIND_API_KEY_ANTHROPIC: XMind Anthropic 兼容 API 密钥（默认: 9b123e68b3734856a6983fa229a1f94d）
 # - XMIND_API_KEY_VERTEX_AI: XMind Vertex AI 兼容 API 密钥（默认: 854a5b589db44fb0a08c988dd2dd57f8）

message_api_claude.py

@@ -0,0 +1,65 @@
+import json
+import os
+import sys
+from typing import Any, Dict, List
+
+import requests
+
+# Required: export DATABRICKS_TOKEN with a valid Databricks PAT before running.
+DATABRICKS_TOKEN = "dapied25006cd5ec824b138dfa5e82e2630c"   #User1
+
+if not DATABRICKS_TOKEN:
+    raise RuntimeError("Set DATABRICKS_TOKEN with a valid Databricks PAT.")
+
+# Optional: override DATABRICKS_BASE_URL to point at your workspace host.
+BASE_URL = os.environ.get(
+    "DATABRICKS_BASE_URL",
+    "https://adb-7405604858124224.4.azuredatabricks.net",
+)
+ENDPOINT = f"{BASE_URL.rstrip('/')}/serving-endpoints/anthropic/v1/messages"
+# Adjust DEFAULT_MODEL if your workspace exposes a different deployed model name.
+DEFAULT_MODEL = "databricks-claude-sonnet-4-5"
+
+
+def build_payload(prompt: str, model: str, max_tokens: int) -> Dict[str, Any]:
+    return {
+        "model": model,
+        "max_tokens": max_tokens,
+        "messages": [{"role": "user", "content": prompt}],
+    }
+
+
+def call_message_api(
+    prompt: str, model: str = DEFAULT_MODEL, max_tokens: int = 500
+) -> Dict[str, Any]:
+    payload = build_payload(prompt, model, max_tokens)
+    headers = {
+        "Authorization": f"Bearer {DATABRICKS_TOKEN}",
+        "Content-Type": "application/json",
+    }
+    response = requests.post(ENDPOINT, headers=headers, json=payload, timeout=30)
+    response.raise_for_status()
+    return response.json()
+
+
+def extract_text(content: Any) -> str:
+    if isinstance(content, list):
+        text_blocks: List[str] = []
+        for block in content:
+            if isinstance(block, dict) and block.get("type") == "text":
+                text_blocks.append(str(block.get("text", "")))
+        if text_blocks:
+            return "\n".join(text_blocks)
+    return str(content)
+
+
+def main(argv: List[str]) -> None:
+    prompt = " ".join(argv) if argv else "What is an LLM agent?"
+    result = call_message_api(prompt)
+    content = result.get("content")
+    output = extract_text(content)
+    print(output or json.dumps(result, indent=2))
+
+
+if __name__ == "__main__":
+    main(sys.argv[1:])

test_results.json

@@ -0,0 +1,110 @@
+[
+  {
+    "model": "databricks-claude-haiku-4-5",
+    "status": "success",
+    "response": {
+      "model": "claude-haiku-4-5-20251001",
+      "id": "msg_bdrk_019rU8d2HJVgDz7LT2MSz3z9",
+      "type": "message",
+      "role": "assistant",
+      "content": [
+        {
+          "type": "text",
+          "text": "Hello! 2 + 2 = 4."
+        }
+      ],
+      "stop_reason": "end_turn",
+      "stop_sequence": null,
+      "usage": {
+        "input_tokens": 16,
+        "cache_creation_input_tokens": 0,
+        "cache_read_input_tokens": 0,
+        "cache_creation": {
+          "ephemeral_5m_input_tokens": 0,
+          "ephemeral_1h_input_tokens": 0
+        },
+        "output_tokens": 16
+      }
+    }
+  },
+  {
+    "model": "databricks-claude-opus-4-5",
+    "status": "success",
+    "response": {
+      "model": "claude-opus-4-5-20251101",
+      "id": "msg_bdrk_01B3qYeKwWRkCkvhLLErQzUr",
+      "type": "message",
+      "role": "assistant",
+      "content": [
+        {
+          "type": "text",
+          "text": "Hello! 2+2 equals 4."
+        }
+      ],
+      "stop_reason": "end_turn",
+      "stop_sequence": null,
+      "usage": {
+        "input_tokens": 16,
+        "cache_creation_input_tokens": 0,
+        "cache_read_input_tokens": 0,
+        "cache_creation": {
+          "ephemeral_5m_input_tokens": 0,
+          "ephemeral_1h_input_tokens": 0
+        },
+        "output_tokens": 14
+      }
+    }
+  },
+  {
+    "model": "databricks-claude-sonnet-4-5",
+    "status": "success",
+    "response": {
+      "model": "claude-sonnet-4-5-20250929",
+      "id": "msg_bdrk_01UhJcpUBwPKqPpgz7SuerbV",
+      "type": "message",
+      "role": "assistant",
+      "content": [
+        {
+          "type": "text",
+          "text": "Hello! 2 + 2 = 4"
+        }
+      ],
+      "stop_reason": "end_turn",
+      "stop_sequence": null,
+      "usage": {
+        "input_tokens": 16,
+        "cache_creation_input_tokens": 0,
+        "cache_read_input_tokens": 0,
+        "cache_creation": {
+          "ephemeral_5m_input_tokens": 0,
+          "ephemeral_1h_input_tokens": 0
+        },
+        "output_tokens": 15
+      }
+    }
+  },
+  {
+    "model": "databricks-claude-opus-4-1",
+    "status": "success",
+    "response": {
+      "model": "claude-opus-4-1-20250805",
+      "id": "msg_bdrk_01W344zBQvnZpLh1YUi2yeYF",
+      "type": "message",
+      "role": "assistant",
+      "content": [
+        {
+          "type": "text",
+          "text": "2 + 2 = 4"
+        }
+      ],
+      "stop_reason": "end_turn",
+      "stop_sequence": null,
+      "usage": {
+        "input_tokens": 16,
+        "cache_creation_input_tokens": 0,
+        "cache_read_input_tokens": 0,
+        "output_tokens": 13
+      }
+    }
+  }
+]