fix(cli): resolve Dev UI graph broken and FunctionTool complex type crash

- Re-adds missing /dev/build_graph_image/ endpoint to fix broken dev UI graph visualization (#5430).
- Strips unsupported prefixItems/unevaluatedItems from JSON schema to fix FunctionTool crash on complex types (#5428).
- Fixes circular import NameError by moving common decorators to the top of cli_tools_click.py.
- Resolves TypeErrors in cli_run and tests by correctly propagating new options (max_llm_calls, avatar_config, trigger_sources).
- Updates test_adk_run to correctly ignore the handled 'verbose' option.

Author: EaCognitive

contributing/samples/gepa/experiment.py

@@ -43,7 +43,6 @@
 from tau_bench.types import EnvRunResult
 from tau_bench.types import RunConfig
 import tau_bench_agent as tau_bench_agent_lib
-
 import utils
 
 

contributing/samples/gepa/run_experiment.py

@@ -25,7 +25,6 @@
 from absl import flags
 import experiment
 from google.genai import types
-
 import utils
 
 _OUTPUT_DIR = flags.DEFINE_string(

repro_5428.py

@@ -0,0 +1,20 @@
+import asyncio
+from google.adk.tools.function_tool import FunctionTool
+
+async def generate_image(
+    prompt: str,
+    input_bytes: list[tuple[bytes, str]] | None = None,
+) -> dict:
+    """Generate an image from a prompt."""
+    return {"status": "success"}
+
+async def main():
+    try:
+        generate_image_tool = FunctionTool(func=generate_image)
+        generate_image_tool._get_declaration()
+        print("SUCCESS! No validation error.")
+    except Exception as e:
+        print(f"FAILED! Error: {type(e).__name__}: {e}")
+
+if __name__ == "__main__":
+    asyncio.run(main())

src/google/adk/cli/adk_web_server.py

@@ -2013,6 +2013,26 @@ async def event_generator():
           media_type="text/event-stream",
       )
 
+    @app.get("/dev/build_graph_image/{app_name}", tags=[TAG_DEBUG])
+    async def get_app_graph_image(
+        app_name: str, dark_mode: bool = False
+    ) -> Response:
+      """Returns the agent graph as an SVG image for the dev UI."""
+      agent_or_app = self.agent_loader.load_agent(app_name)
+      root_agent = self._get_root_agent(agent_or_app)
+
+      # Get graph with NO highlights (empty list) and specified theme
+      dot_graph = await agent_graph.get_agent_graph(
+          root_agent, [], dark_mode=dark_mode
+      )
+
+      if dot_graph and isinstance(dot_graph, graphviz.Digraph):
+        # Render the graph as SVG
+        svg_image = dot_graph.pipe(format="svg")
+        return Response(content=svg_image, media_type="image/svg+xml")
+      else:
+        raise HTTPException(status_code=404, detail="Graph not found")
+
     @app.get(
         "/dev/{app_name}/graph",
         response_model_exclude_none=True,

src/google/adk/cli/cli.py

@@ -24,6 +24,7 @@
 from pydantic import BaseModel
 
 from ..agents.llm_agent import LlmAgent
+from ..agents.run_config import RunConfig
 from ..apps.app import App
 from ..artifacts.base_artifact_service import BaseArtifactService
 from ..auth.credential_service.base_credential_service import BaseCredentialService
@@ -189,13 +190,13 @@ async def run_cli(
   if avatar_config:
     try:
       if Path(avatar_config).is_file():
-        with open(avatar_config, "r", encoding="utf-8") as f:
+        with open(avatar_config, 'r', encoding='utf-8') as f:
           config_dict = json.load(f)
       else:
         config_dict = json.loads(avatar_config)
       avatar_config_obj = types.AvatarConfig.model_validate(config_dict)
     except Exception as e:
-      click.secho(f"Warning: Failed to parse avatar_config: {e}", fg="yellow")
+      click.secho(f'Warning: Failed to parse avatar_config: {e}', fg='yellow')
 
   agent_loader = AgentLoader(agents_dir=agents_dir)
   agent_or_app = agent_loader.load_agent(agent_folder_name)