feat: add agent local examples

veadk/agent.py

@@ -26,14 +26,12 @@
 
 import uuid
 
-from google.adk.agents import LlmAgent, RunConfig
+from google.adk.agents import LlmAgent
 from google.adk.agents.base_agent import BaseAgent
 from google.adk.agents.context_cache_config import ContextCacheConfig
 from google.adk.agents.llm_agent import InstructionProvider, ToolUnion
-from google.adk.agents.run_config import StreamingMode
+from google.adk.examples.base_example_provider import BaseExampleProvider
 from google.adk.models.lite_llm import LiteLlm
-from google.adk.runners import Runner
-from google.genai import types
 from pydantic import ConfigDict, Field
 from typing_extensions import Any
 
@@ -42,7 +40,6 @@
     DEFAULT_AGENT_NAME,
     DEFAULT_MODEL_EXTRA_CONFIG,
 )
-from veadk.evaluation import EvalSetRecorder
 from veadk.knowledgebase import KnowledgeBase
 from veadk.memory.long_term_memory import LongTermMemory
 from veadk.memory.short_term_memory import ShortTermMemory
@@ -87,6 +84,8 @@ class Agent(LlmAgent):
         tracers (list[BaseTracer]): List of tracers used for telemetry and monitoring.
         enable_authz (bool): Whether to enable agent authorization checks.
         auto_save_session (bool): Whether to automatically save sessions to long-term memory.
+        skills (list[str]): List of skills that equip the agent with specific capabilities.
+        example_store (Optional[BaseExampleProvider]): Example store for providing example Q/A.
     """
 
     model_config = ConfigDict(arbitrary_types_allowed=True, extra="allow")
@@ -147,6 +146,8 @@ class Agent(LlmAgent):
 
     skills: list[str] = Field(default_factory=list)
 
+    example_store: Optional[BaseExampleProvider] = None
+
     def model_post_init(self, __context: Any) -> None:
         super().model_post_init(None)  # for sub_agents init
 
@@ -282,6 +283,11 @@ def model_post_init(self, __context: Any) -> None:
         if self.skills:
             self.load_skills()
 
+        if self.example_store:
+            from google.adk.tools.example_tool import ExampleTool
+
+            self.tools.append(ExampleTool(examples=self.example_store))
+
         logger.info(f"VeADK version: {VERSION}")
 
         logger.info(f"{self.__class__.__name__} `{self.name}` init done.")
@@ -297,18 +303,19 @@ def update_model(self, model_name: str):
 
     def load_skills(self):
         from pathlib import Path
+
         from veadk.skills.skill import Skill
         from veadk.skills.utils import (
-            load_skills_from_directory,
             load_skills_from_cloud,
+            load_skills_from_directory,
         )
         from veadk.tools.builtin_tools.playwright import playwright_tools
         from veadk.tools.skills_tools import (
             SkillsTool,
+            bash_tool,
+            edit_file_tool,
             read_file_tool,
             write_file_tool,
-            edit_file_tool,
-            bash_tool,
         )
 
         skills: Dict[str, Skill] = {}
@@ -338,61 +345,6 @@ def load_skills(self):
             self.tools.append(bash_tool)
             self.tools.append(playwright_tools)
 
-    async def _run(
-        self,
-        runner,
-        user_id: str,
-        session_id: str,
-        message: types.Content,
-        stream: bool,
-        run_processor: Optional[BaseRunProcessor] = None,
-    ):
-        """Internal run method with run processor support.
-
-        Args:
-            runner: The Runner instance.
-            user_id: User ID for the session.
-            session_id: Session ID.
-            message: The message to send.
-            stream: Whether to stream the output.
-            run_processor: Optional run processor to use. If not provided, uses self.run_processor.
-
-        Returns:
-            The final output string.
-        """
-        stream_mode = StreamingMode.SSE if stream else StreamingMode.NONE
-
-        # Use provided run_processor or fall back to instance's run_processor
-        processor = run_processor or self.run_processor
-
-        @processor.process_run(runner=runner, message=message)
-        async def event_generator():
-            async for event in runner.run_async(
-                user_id=user_id,
-                session_id=session_id,
-                new_message=message,
-                run_config=RunConfig(streaming_mode=stream_mode),
-            ):
-                if event.get_function_calls():
-                    for function_call in event.get_function_calls():
-                        logger.debug(f"Function call: {function_call}")
-                elif (
-                    event.content is not None
-                    and event.content.parts[0].text is not None
-                    and len(event.content.parts[0].text.strip()) > 0
-                ):
-                    yield event.content.parts[0].text
-
-        final_output = ""
-        async for chunk in event_generator():
-            if stream:
-                print(chunk, end="", flush=True)
-            final_output += chunk
-        if stream:
-            print()  # end with a new line
-
-        return final_output
-
     def _prepare_tracers(self):
         enable_apmplus_tracer = os.getenv("ENABLE_APMPLUS", "false").lower() == "true"
         enable_cozeloop_tracer = os.getenv("ENABLE_COZELOOP", "false").lower() == "true"
@@ -439,99 +391,7 @@ def _prepare_tracers(self):
             f"Opentelemetry Tracer init {len(self.tracers[0].exporters)} exporters"  # type: ignore
         )
 
-    async def run(
-        self,
-        prompt: str | list[str],
-        stream: bool = False,
-        app_name: str = "veadk_app",
-        user_id: str = "veadk_user",
-        session_id="veadk_session",
-        load_history_sessions_from_db: bool = False,
-        db_url: str = "",
-        collect_runtime_data: bool = False,
-        eval_set_id: str = "",
-        save_session_to_memory: bool = False,
-        run_processor: Optional[BaseRunProcessor] = None,
-    ):
-        """Running the agent. The runner and session service will be created automatically.
-
-        For production, consider using Google-ADK runner to run agent, rather than invoking this method.
-
-        Args:
-            prompt (str | list[str]): The prompt to run the agent.
-            stream (bool, optional): Whether to stream the output. Defaults to False.
-            app_name (str, optional): The name of the application. Defaults to "veadk_app".
-            user_id (str, optional): The id of the user. Defaults to "veadk_user".
-            session_id (str, optional): The id of the session. Defaults to "veadk_session".
-            load_history_sessions_from_db (bool, optional): Whether to load history sessions from database. Defaults to False.
-            db_url (str, optional): The url of the database. Defaults to "".
-            collect_runtime_data (bool, optional): Whether to collect runtime data. Defaults to False.
-            eval_set_id (str, optional): The id of the eval set. Defaults to "".
-            save_session_to_memory (bool, optional): Whether to save this turn session to memory. Defaults to False.
-            run_processor (Optional[BaseRunProcessor], optional): Optional run processor to use for this run.
-                If not provided, uses the agent's default run_processor. Defaults to None.
-        """
-
-        logger.warning(
-            "Running agent in this function is only for development and testing, do not use this function in production. For production, consider using `Google ADK Runner` to run agent, rather than invoking this method."
-        )
-        logger.info(
-            f"Run agent {self.name}: app_name: {app_name}, user_id: {user_id}, session_id: {session_id}."
-        )
-        prompt = [prompt] if isinstance(prompt, str) else prompt
-
-        # memory service
-        short_term_memory = ShortTermMemory(
-            backend="database" if load_history_sessions_from_db else "local",
-            db_url=db_url,
+    async def run(self, **kwargs):
+        raise NotImplementedError(
+            "Run method in VeADK agent is deprecated since version 0.5.6. Please use runner.run_async instead. Ref: https://agentkit.gitbook.io/docs/runner/overview"
         )
-        session_service = short_term_memory.session_service
-        await short_term_memory.create_session(
-            app_name=app_name, user_id=user_id, session_id=session_id
-        )
-
-        # runner
-        runner = Runner(
-            agent=self,
-            app_name=app_name,
-            session_service=session_service,
-            memory_service=self.long_term_memory,
-        )
-
-        logger.info(f"Begin to process prompt {prompt}")
-        # run
-        final_output = ""
-        for _prompt in prompt:
-            message = types.Content(role="user", parts=[types.Part(text=_prompt)])
-            final_output = await self._run(
-                runner, user_id, session_id, message, stream, run_processor
-            )
-
-        # VeADK features
-        if save_session_to_memory:
-            assert self.long_term_memory is not None, (
-                "Long-term memory is not initialized in agent"
-            )
-            session = await session_service.get_session(
-                app_name=app_name,
-                user_id=user_id,
-                session_id=session_id,
-            )
-            if session:
-                await self.long_term_memory.add_session_to_memory(session)
-                logger.info(f"Add session `{session.id}` to your long-term memory.")
-            else:
-                logger.error(
-                    f"Session {session_id} not found in session service, cannot save to long-term memory."
-                )
-
-        if collect_runtime_data:
-            eval_set_recorder = EvalSetRecorder(session_service, eval_set_id)
-            dump_path = await eval_set_recorder.dump(app_name, user_id, session_id)
-            self._dump_path = dump_path  # just for test/debug/instrumentation
-
-        if self.tracers:
-            for tracer in self.tracers:
-                tracer.dump(user_id=user_id, session_id=session_id)
-
-        return final_output

veadk/examples/in_memory_example_store.py

@@ -0,0 +1,108 @@
+# Copyright (c) 2025 Beijing Volcano Engine Technology Co., Ltd. and/or its affiliates.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+
+from google.adk.examples.base_example_provider import BaseExampleProvider
+from google.adk.examples.example import Example as ADKExample
+from google.genai.types import Content, FunctionCall, Part
+from typing_extensions import override
+
+from veadk.examples.types import Example
+
+
+class InMemoryExampleStore(BaseExampleProvider):
+    def __init__(
+        self,
+        name: str = "in_memory_example_store",
+        examples: list[Example | ADKExample] | None = None,
+    ):
+        self.name = name
+        if examples:
+            self.examples: list[ADKExample] = self.convert_examples_to_adk_examples(
+                examples
+            )
+        else:
+            self.examples: list[ADKExample] = []
+
+    def add_example(self, example: Example | ADKExample):
+        """Add an example to the provider.
+
+        Args:
+            example: A VeADK example or ADK example.
+        """
+        self.examples.append(self.convert_examples_to_adk_examples([example])[0])
+
+    def convert_examples_to_adk_examples(
+        self,
+        examples: list[Example | ADKExample],
+    ) -> list[ADKExample]:
+        """Convert VeADK example to ADK example.
+
+        Args:
+            examples: A list of VeADK example or ADK example.
+
+        Returns:
+            A list of ADK example.
+        """
+        adk_examples = []
+        for example in examples:
+            if isinstance(example, ADKExample):
+                adk_examples.append(example)
+            else:
+                output_string_content = (
+                    Content(parts=[Part(text=example.expected_output)], role="model")
+                    if example.expected_output
+                    else None
+                )
+                output_fc_content = (
+                    Content(
+                        parts=[
+                            Part(
+                                function_call=FunctionCall(
+                                    name=example.expected_function_call.function_name,
+                                    args=example.expected_function_call.arguments,
+                                )
+                            )
+                        ],
+                        role="model",
+                    )
+                    if example.expected_function_call
+                    else None
+                )
+
+                output = []
+                if output_string_content:
+                    output.append(output_string_content)
+                if output_fc_content:
+                    output.append(output_fc_content)
+
+                adk_examples.append(
+                    ADKExample(
+                        input=Content(parts=[Part(text=example.input)], role="user"),
+                        output=output,
+                    )
+                )
+        return adk_examples
+
+    @override
+    def get_examples(self, query: str) -> list[ADKExample]:
+        """Simply return all examples.
+
+        Args:
+            query: The query to get examples for.
+
+        Returns:
+            A list of Example objects.
+        """
+        return self.examples

veadk/examples/types.py

@@ -0,0 +1,28 @@
+# Copyright (c) 2025 Beijing Volcano Engine Technology Co., Ltd. and/or its affiliates.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+from typing import Any
+
+from pydantic import BaseModel, Field
+
+
+class ExampleFunctionCall(BaseModel):
+    function_name: str
+    arguments: dict[str, Any] = Field(default_factory=dict)
+
+
+class Example(BaseModel):
+    input: str
+    expected_output: str | None = None
+    expected_function_call: ExampleFunctionCall | None = None