Merge pull request #275 from inclusionAI/feature/api-server

new web ui

Author: eric68668

examples/gaia/cmd/agent_deploy/gaia_agent/.env.template

@@ -1,61 +1,33 @@
-LLM_PROVIDER_GAIA = openai
-LLM_MODEL_NAME_GAIA = xxx
-LLM_API_KEY_GAIA = xxx
-LLM_BASE_URL_GAIA = xxx
-LLM_TEMPERATURE_GAIA = 0.0
+# LLM Model Config
+LLM_PROVIDER = {YOUR_CONFIG:ant/openai}
+LLM_MODEL_NAME = {YOUR_CONFIG}
+LLM_API_KEY = {YOUR_CONFIG}
+LLM_BASE_URL = {YOUR_CONFIG}
+LLM_TEMPERATURE = 0.0
 
+# ===============Path Configurations=================
+# GAIA_DATASET_PATH="/path/to/your/gaia-benchmark/GAIA/2023"
+# AWORLD_WORKSPACE="/path/to/your/workspace_dir"
 
 # ===============MCP Server Configurations=================
-# Google Search
-GOOGLE_API_KEY=xxx
-GOOGLE_SEARCH_ENGINE_ID=xxx
-GOOGLE_CSE_ID=xxx
+# [Google Search API](https://developers.google.com/custom-search/v1/introduction)
+GOOGLE_API_KEY={YOUR_CONFIG}
+GOOGLE_CSE_ID={YOUR_CONFIG}
 
-# Google Map Server
-GOOGLE_MAPS_SECRET=xxx
-
-# GitHub Server
-GITHUB_ACCESS_TOKEN=xxx
-
-# E2B Server
-E2B_API_KEY=xxx
-
-# Filesystem Server
-FILESYSTEM_SERVER_WORKDIR=/tmp/
-
-# Browser Use: skip verfication
+# [Browser Use](https://github.com/browser-use/browser-use)
 SKIP_LLM_API_KEY_VERIFICATION=true
-OPENAI_API_KEY=xxx
-
-# Apify Server
-APIFY_API_TOKEN=xxx
+OPENAI_API_KEY={YOUR_CONFIG}
+COOKIES_FILE_PATH={YOUR_CONFIG}
 
 # Audio Server
-AUDIO_LLM_API_KEY=xxx
-AUDIO_LLM_BASE_URL=xxx
-AUDIO_LLM_MODEL_NAME=xxx
+AUDIO_LLM_API_KEY={YOUR_CONFIG}
+AUDIO_LLM_BASE_URL=https://api.zhizengzeng.com/v1
+AUDIO_LLM_MODEL_NAME=gpt-4o-transcribe
 
 # Image Server
-IMAGE_LLM_API_KEY=xxx
-IMAGE_LLM_BASE_URL=xxx
-IMAGE_LLM_MODEL_NAME=xxx
-
-# Video Server
-VIDEO_LLM_API_KEY=xxx
-VIDEO_LLM_BASE_URL=xxx
-VIDEO_LLM_MODEL_NAME=xxx
-
-#   - Zhizengzeng LLM ModelConfig
-LLM_API_KEY_ZZZ=xxx
-LLM_BASE_URL_ZZZ=xxx
-
-# Weather Agent MCP API KEY, https://home.openweathermap.org/api_keys
-OPENWEATHER_API_KEY=xxx
-# AccWeather API, https://developer.accuweather.com/user/me/apps
-ACCUWEATHER_API_KEY=xxx
+IMAGE_LLM_API_KEY={YOUR_CONFIG}
+IMAGE_LLM_BASE_URL=https://openrouter.ai/api/v1
+IMAGE_LLM_MODEL_NAME=anthropic/claude-3.7-sonnet
 
-# Playwright MCP for Aworld
-OSS_ENDPOINT=xxx
-OSS_ACCESS_KEY_ID=xxx
-OSS_ACCESS_KEY_SECRET=xxx
-OSS_BUCKET=xxx
+# [E2B Server](https://e2b.dev/docs/quickstart)
+E2B_API_KEY={YOUR_CONFIG}

examples/gaia/cmd/agent_deploy/gaia_agent/agent.py

@@ -13,11 +13,11 @@ def __init__(self, *args, **kwargs):
         os.makedirs(os.path.join(os.getcwd(), "static"), exist_ok=True)
 
     async def run(self, prompt: str = None, request: ChatCompletionRequest = None):
-        llm_provider = os.getenv("LLM_PROVIDER_GAIA", "openai")
-        llm_model_name = os.getenv("LLM_MODEL_NAME_GAIA")
-        llm_api_key = os.getenv("LLM_API_KEY_GAIA")
-        llm_base_url = os.getenv("LLM_BASE_URL_GAIA")
-        llm_temperature = float(os.getenv("LLM_TEMPERATURE_GAIA", 0.0))
+        llm_provider = os.getenv("LLM_PROVIDER", "openai")
+        llm_model_name = os.getenv("LLM_MODEL_NAME")
+        llm_api_key = os.getenv("LLM_API_KEY")
+        llm_base_url = os.getenv("LLM_BASE_URL")
+        llm_temperature = float(os.getenv("LLM_TEMPERATURE", 0.0))
 
         if not llm_model_name or not llm_api_key or not llm_base_url:
             raise ValueError(

examples/gaia/gaia_agent_server.py

@@ -16,11 +16,11 @@ def __init__(self):
 
     def _get_model_config(self):
         try:
-            llm_provider = os.getenv("LLM_PROVIDER_GAIA")
-            llm_model_name = os.getenv("LLM_MODEL_NAME_GAIA")
-            llm_api_key = os.getenv("LLM_API_KEY_GAIA")
-            llm_base_url = os.getenv("LLM_BASE_URL_GAIA")
-            llm_temperature = os.getenv("LLM_TEMPERATURE_GAIA", 0.0)
+            llm_provider = os.getenv("LLM_PROVIDER")
+            llm_model_name = os.getenv("LLM_MODEL_NAME")
+            llm_api_key = os.getenv("LLM_API_KEY")
+            llm_base_url = os.getenv("LLM_BASE_URL")
+            llm_temperature = float(os.getenv("LLM_TEMPERATURE", 0.0))
             return {
                 "provider": llm_provider,
                 "model": llm_model_name,

examples/gaia/mcp.json

@@ -17,9 +17,9 @@
                 "examples.gaia.mcp_collections.tools.browser"
             ],
             "env": {
-                "LLM_MODEL_NAME": "${LLM_MODEL_NAME_GAIA}",
-                "LLM_API_KEY": "${LLM_API_KEY_GAIA}",
-                "LLM_BASE_URL": "${LLM_BASE_URL_GAIA}",
+                "LLM_MODEL_NAME": "${LLM_MODEL_NAME}",
+                "LLM_API_KEY": "${LLM_API_KEY}",
+                "LLM_BASE_URL": "${LLM_BASE_URL}",
                 "SESSION_REQUEST_CONNECT_TIMEOUT": "120"
             }
         },

examples/gaia/mcp_collections/base.py

@@ -67,7 +67,7 @@ def _obtain_valid_workspace(self, workspace: str | None = None) -> Path:
           2. environment variable AWORLD_WORKSPACE
           3. home directory
         """
-        path = Path(workspace) if workspace else os.getenv("AWORLD_WORKSPACE")
+        path = Path(workspace) if workspace else os.getenv("AWORLD_WORKSPACE", "~")
         if path and path.expanduser().is_dir():
             return path.expanduser().resolve()
 

examples/gaia/mcp_collections/intelligence/code.py

@@ -49,8 +49,8 @@ def __init__(self, arguments: ActionArguments) -> None:
         self._llm_config = AgentConfig(
             llm_provider="openai",
             llm_model_name="anthropic/claude-sonnet-4",
-            llm_api_key=os.getenv("LLM_API_KEY", "your_openai_api_key"),
-            llm_base_url=os.getenv("LLM_BASE_URL", "your_openai_base_url"),
+            llm_api_key=os.getenv("LLM_API_KEY"),
+            llm_base_url=os.getenv("LLM_BASE_URL"),
         )
 
         self._color_log("Code Generation Service initialized", Color.green, "debug")

examples/gaia/mcp_collections/intelligence/think.py

@@ -32,8 +32,8 @@ def __init__(self, arguments: ActionArguments) -> None:
             llm_provider="openai",
             # llm_model_name="google/gemini-2.5-flash-preview-05-20:thinking",
             llm_model_name="deepseek/deepseek-r1-0528:free",
-            llm_api_key=os.getenv("LLM_API_KEY", "your_openai_api_key"),
-            llm_base_url=os.getenv("LLM_BASE_URL", "your_openai_base_url"),
+            llm_api_key=os.getenv("LLM_API_KEY"),
+            llm_base_url=os.getenv("LLM_BASE_URL"),
         )
 
         self._color_log("Intelligence Reasoning Service initialized", Color.green, "debug")

examples/gaia/mcp_collections/media/image.py

@@ -70,8 +70,8 @@ def __init__(self, arguments: ActionArguments) -> None:
         self._llm_config = AgentConfig(
             llm_provider="openai",
             llm_model_name=os.getenv("IMAGE_LLM_MODEL_NAME", "gpt-4o"),
-            llm_api_key=os.getenv("IMAGE_LLM_API_KEY", "your_openai_api_key"),
-            llm_base_url=os.getenv("IMAGE_LLM_BASE_URL", "your_openai_base_url"),
+            llm_api_key=os.getenv("IMAGE_LLM_API_KEY"),
+            llm_base_url=os.getenv("IMAGE_LLM_BASE_URL"),
         )
 
         self._color_log("Image Processing Service initialized", Color.green, "debug")

examples/gaia/mcp_collections/media/video.py

@@ -372,8 +372,8 @@ def _analyze_frame_chunk(self, chunk_data: tuple[int, list, str]) -> tuple[int,
                     conf=AgentConfig(
                         llm_provider="openai",
                         llm_model_name=os.getenv("LLM_MODEL_NAME", "gpt-4o"),
-                        llm_api_key=os.getenv("LLM_API_KEY", "your_openai_api_key"),
-                        llm_base_url=os.getenv("LLM_BASE_URL", "your_openai_base_url"),
+                        llm_api_key=os.getenv("LLM_API_KEY"),
+                        llm_base_url=os.getenv("LLM_BASE_URL"),
                     )
                 ),
                 inputs,

examples/gaia/run.py

@@ -23,8 +23,8 @@
 )
 
 # Create log directory if it doesn't exist
-if not os.path.exists(os.getenv("AWORLD_WORKSPACE")):
-    os.makedirs(os.getenv("AWORLD_WORKSPACE"))
+if not os.path.exists(os.getenv("AWORLD_WORKSPACE", "~")):
+    os.makedirs(os.getenv("AWORLD_WORKSPACE", "~"))
 
 parser = argparse.ArgumentParser()
 parser.add_argument(
@@ -70,7 +70,7 @@ def setup_logging():
 
     log_file_name = f"/super_agent_{args.q}.log" if args.q else f"/super_agent_{args.start}_{args.end}.log"
     file_handler = logging.FileHandler(
-        os.getenv("AWORLD_WORKSPACE") + log_file_name,
+        os.getenv("AWORLD_WORKSPACE", "~") + log_file_name,
         mode="a",
         encoding="utf-8",
     )
@@ -102,8 +102,8 @@ def setup_logging():
     agent_config = AgentConfig(
         llm_provider="openai",
         llm_model_name=os.getenv("LLM_MODEL_NAME", "gpt-4o"),
-        llm_api_key=os.getenv("LLM_API_KEY", "your_openai_api_key"),
-        llm_base_url=os.getenv("LLM_BASE_URL", "your_openai_base_url"),
+        llm_api_key=os.getenv("LLM_API_KEY"),
+        llm_base_url=os.getenv("LLM_BASE_URL"),
     )
     super_agent = Agent(
         conf=agent_config,
@@ -114,8 +114,8 @@ def setup_logging():
     )
 
     # load results from the checkpoint file
-    if os.path.exists(os.getenv("AWORLD_WORKSPACE") + "/results.json"):
-        with open(os.getenv("AWORLD_WORKSPACE") + "/results.json", "r", encoding="utf-8") as results_f:
+    if os.path.exists(os.getenv("AWORLD_WORKSPACE", "~") + "/results.json"):
+        with open(os.getenv("AWORLD_WORKSPACE", "~") + "/results.json", "r", encoding="utf-8") as results_f:
             results: List[Dict[str, Any]] = json.load(results_f)
     else:
         results: List[Dict[str, Any]] = []
@@ -223,5 +223,5 @@ def setup_logging():
     finally:
         # report
         report_results(results)
-        with open(os.getenv("AWORLD_WORKSPACE") + "/results.json", "w", encoding="utf-8") as f:
+        with open(os.getenv("AWORLD_WORKSPACE", "~") + "/results.json", "w", encoding="utf-8") as f:
             json.dump(results, f, indent=4, ensure_ascii=False)