feat(models): add BedrockModel — Amazon Bedrock integration via Converse API

contributing/samples/bedrock_wikipedia_agent/README.md

@@ -0,0 +1,73 @@
+# Bedrock Wikipedia Agent
+
+A minimal research agent built with **Google ADK** and **Amazon Bedrock** that
+answers questions by searching Wikipedia.
+
+## What it demonstrates
+
+- Instantiating `BedrockModel` and passing it to an ADK `Agent`
+- Defining Python functions as ADK tools (`wikipedia_search`, `wikipedia_get_article`)
+- Running an agent turn with `Runner.run_async`
+- Streaming and non-streaming response modes
+
+## Prerequisites
+
+```bash
+pip install "google-adk-community[bedrock]" wikipedia-api
+```
+
+AWS credentials must be available via the standard boto3 credential chain:
+
+| Method | How |
+|---|---|
+| Environment variables | `AWS_ACCESS_KEY_ID` + `AWS_SECRET_ACCESS_KEY` + `AWS_REGION` |
+| Credentials file | `~/.aws/credentials` |
+| IAM role | EC2 instance profile, ECS task role, Lambda execution role |
+
+## Usage
+
+```bash
+# Default question
+python agent.py
+
+# Custom question
+python agent.py "Who invented the World Wide Web?"
+
+# Streaming output
+python agent.py --stream "What is quantum computing?"
+
+# Different model and region
+python agent.py --model amazon.nova-pro-v1:0 --region us-west-2 "What is AWS Lambda?"
+```
+
+## Sample output
+
+```
+============================================================
+Model : us.anthropic.claude-haiku-4-5-20251001-v1:0  |  Region : us-east-1
+Q: What is Python?
+============================================================
+
+  [tool] wikipedia_search({'query': 'Python programming language'})
+  [result] status=success
+
+A:
+**Python** is a high-level, general-purpose programming language known for its emphasis on code readability through significant indentation. Here are the key characteristics:
+
+**Main Features:**
+- **Design Philosophy**: Emphasizes code readability and clean syntax
+- **Type System**: Dynamically type-checked
+- **Memory Management**: Garbage-collected (automatic memory management)
+- **Programming Paradigms**: Supports multiple styles including:
+  - Structured programming (particularly procedural)
+  - Object-oriented programming
+  - Functional programming
+
+**History:**
+- Created by Guido van Rossum in the late 1980s as a successor to the ABC programming language
+- Python 3.0, released in 2008, was a major revision
+
+Python has become one of the most popular programming languages due to its readability, versatility, and ease of learning, making it suitable for web development, data science, artificial intelligence, automation, and many other applications.
+
+**Source:** https://en.wikipedia.org/wiki/Python_(programming_language)
+```

contributing/samples/bedrock_wikipedia_agent/agent.py

@@ -0,0 +1,274 @@
+# Copyright 2025 Google LLC
+#
+# 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.
+
+"""Wikipedia research agent powered by Amazon Bedrock.
+
+Demonstrates BedrockModel integration with Google ADK by building a simple
+research assistant that answers questions using Wikipedia.
+
+Usage::
+
+    # Default question
+    python agent.py
+
+    # Custom question
+    python agent.py "Who invented the World Wide Web?"
+
+    # Streaming mode
+    python agent.py --stream "What is quantum computing?"
+
+    # Use a different Bedrock model
+    python agent.py --model amazon.nova-pro-v1:0 "What is AWS Lambda?"
+
+Prerequisites::
+
+    pip install google-adk-community[bedrock] wikipedia-api
+
+AWS credentials must be configured via one of:
+  - Environment variables (AWS_ACCESS_KEY_ID / AWS_SECRET_ACCESS_KEY)
+  - AWS credentials file (~/.aws/credentials)
+  - IAM role (EC2 instance profile, ECS task role, Lambda execution role)
+"""
+
+import argparse
+import asyncio
+import os
+
+import wikipediaapi
+from google.adk.agents import Agent
+from google.adk import Runner
+from google.adk.sessions import InMemorySessionService
+from google.genai import types
+
+from google.adk_community.models.bedrock_model import BedrockModel
+
+_APP_NAME = "bedrock_wikipedia_agent"
+
+
+# ---------------------------------------------------------------------------
+# Wikipedia tools
+# ---------------------------------------------------------------------------
+
+
+def wikipedia_search(query: str, language: str = "en") -> dict:
+  """Search Wikipedia and return a summary for the best-matching article.
+
+  Args:
+    query: The topic or question to search for on Wikipedia.
+    language: Wikipedia language code (default: ``"en"``).
+
+  Returns:
+    A dict containing ``title``, ``snippet``, ``url``, and optionally
+    ``related`` articles. Returns a ``"no_results"`` status dict when no
+    matching article is found.
+  """
+  wiki = wikipediaapi.Wikipedia(
+    user_agent="google-adk-community-example/1.0", language=language
+  )
+  page = wiki.page(query)
+  if not page.exists():
+    return {
+      "status": "no_results",
+      "query": query,
+      "message": f"No Wikipedia article found for: {query}",
+    }
+
+  summary = page.summary
+  snippet = summary[:500] + "..." if len(summary) > 500 else summary
+
+  related = []
+  for _, link_page in list(page.links.items())[:3]:
+    if link_page.exists():
+      s = link_page.summary
+      related.append({
+        "title": link_page.title,
+        "snippet": s[:150] + "..." if len(s) > 150 else s,
+      })
+
+  return {
+    "status": "success",
+    "title": page.title,
+    "snippet": snippet,
+    "url": page.fullurl,
+    "related": related,
+  }
+
+
+def wikipedia_get_article(
+  title: str,
+  summary_only: bool = True,
+  max_length: int = 3000,
+) -> dict:
+  """Retrieve content from a Wikipedia article by its exact title.
+
+  Args:
+    title: Exact Wikipedia article title (e.g. ``"Python (programming
+      language)"``).
+    summary_only: When ``True`` (default), return only the introductory
+      summary. Set to ``False`` for the full article text.
+    max_length: Maximum character length of full-text content (default 3000).
+
+  Returns:
+    A dict containing ``title``, ``content``, ``url``, and ``categories``.
+    Returns a ``"not_found"`` status dict when the article does not exist.
+  """
+  wiki = wikipediaapi.Wikipedia(
+    user_agent="google-adk-community-example/1.0", language="en"
+  )
+  page = wiki.page(title)
+  if not page.exists():
+    return {
+      "status": "not_found",
+      "title": title,
+      "message": f"Wikipedia article not found: {title}",
+    }
+
+  if summary_only:
+    content = page.summary
+  else:
+    content = page.text[:max_length]
+    if len(page.text) > max_length:
+      content += "\n\n[... content truncated]"
+
+  return {
+    "status": "success",
+    "title": page.title,
+    "content": content,
+    "url": page.fullurl,
+    "categories": list(page.categories.keys())[:5],
+  }
+
+
+# ---------------------------------------------------------------------------
+# Agent factory
+# ---------------------------------------------------------------------------
+
+
+def build_agent(model_id: str, region: str) -> Agent:
+  """Create a Wikipedia research Agent backed by Bedrock.
+
+  Args:
+    model_id: Bedrock model ID or cross-region inference profile.
+    region: AWS region for the Bedrock API endpoint.
+
+  Returns:
+    A configured ADK :class:`~google.adk.agents.Agent`.
+  """
+  return Agent(
+    model=BedrockModel(model=model_id, region_name=region, max_tokens=2048),
+    name="wikipedia_research_agent",
+    description="Answers questions using Wikipedia via Amazon Bedrock.",
+    instruction=(
+      "You are a concise research assistant. "
+      "Use wikipedia_search to find relevant articles and "
+      "wikipedia_get_article to retrieve detail when needed. "
+      "Always cite the Wikipedia URL in your final answer."
+    ),
+    tools=[wikipedia_search, wikipedia_get_article],
+  )
+
+
+# ---------------------------------------------------------------------------
+# Runner
+# ---------------------------------------------------------------------------
+
+
+async def ask(question: str, model_id: str, region: str, stream: bool) -> None:
+  """Send a single question to the agent and print the response.
+
+  Args:
+    question: The user's question.
+    model_id: Bedrock model ID to use.
+    region: AWS region.
+    stream: When ``True``, stream partial text deltas to stdout.
+  """
+  agent = build_agent(model_id, region)
+  session_service = InMemorySessionService()
+  runner = Runner(
+    agent=agent,
+    app_name=_APP_NAME,
+    session_service=session_service,
+  )
+  session = await session_service.create_session(
+    app_name=_APP_NAME, user_id="user"
+  )
+
+  print(f"\n{'='*60}")
+  print(f"Model : {model_id}  |  Region : {region}")
+  print(f"Q: {question}")
+  print(f"{'='*60}\n")
+
+  async for event in runner.run_async(
+    user_id="user",
+    session_id=session.id,
+    new_message=types.Content(
+      role="user", parts=[types.Part.from_text(text=question)]
+    ),
+  ):
+    if not event.content or not event.content.parts:
+      continue
+    for part in event.content.parts:
+      if part.function_call:
+        print(
+          f"  [tool] {part.function_call.name}({part.function_call.args})"
+        )
+      elif part.function_response:
+        status = (part.function_response.response or {}).get("status", "?")
+        print(f"  [result] status={status}")
+      elif part.text:
+        if stream and not event.is_final_response():
+          print(part.text, end="", flush=True)
+        elif event.is_final_response():
+          if stream:
+            print()  # newline after streamed output
+          print(f"\nA:\n{part.text}")
+
+
+# ---------------------------------------------------------------------------
+# CLI
+# ---------------------------------------------------------------------------
+
+
+def main() -> None:
+  parser = argparse.ArgumentParser(
+    description="Wikipedia research agent powered by Amazon Bedrock + ADK"
+  )
+  parser.add_argument(
+    "question",
+    nargs="?",
+    default="What is Amazon Bedrock?",
+    help="Question to answer (default: 'What is Amazon Bedrock?')",
+  )
+  parser.add_argument(
+    "--model",
+    default="us.anthropic.claude-haiku-4-5-20251001-v1:0",
+    help="Bedrock model ID (default: us.anthropic.claude-haiku-4-5-20251001-v1:0)",
+  )
+  parser.add_argument(
+    "--region",
+    default=os.environ.get("AWS_REGION", "us-east-1"),
+    help="AWS region (default: AWS_REGION env var or us-east-1)",
+  )
+  parser.add_argument(
+    "--stream",
+    action="store_true",
+    help="Stream text output to stdout",
+  )
+  args = parser.parse_args()
+
+  asyncio.run(ask(args.question, args.model, args.region, args.stream))
+
+
+if __name__ == "__main__":
+  main()

pyproject.toml

@@ -41,9 +41,13 @@ changelog = "https://github.com/google/adk-python-community/blob/main/CHANGELOG.
 documentation = "https://google.github.io/adk-docs/"
 
 [project.optional-dependencies]
+bedrock = [
+    "boto3>=1.40.0",
+]
 test = [
     "pytest>=8.4.2",
     "pytest-asyncio>=1.2.0",
+    "boto3>=1.40.0",
 ]
 
 

src/google/adk_community/__init__.py

@@ -13,6 +13,8 @@
 # limitations under the License.
 
 from . import memory
+from . import models
 from . import sessions
 from . import version
+
 __version__ = version.__version__