diff --git a/.env.template b/.env.template index b7451c0..d939f40 100644 --- a/.env.template +++ b/.env.template @@ -33,11 +33,11 @@ ELASTICSEARCH_URL="http://localhost:9200" DIFY_API_URL="https://api.dify.ai/v1" DIFY_API_KEY="xxx" -## Cosmos DB Settings +## Azure Cosmos DB Settings COSMOSDB_HOST="https://xxx.documents.azure.com:443/" COSMOSDB_KEY="xxx" -COSMOSDB_DATABASE_NAME="langgraph" -COSMOSDB_CONTAINER_NAME="docs_kabuto" +COSMOSDB_DATABASE_NAME="template_langgraph" +COSMOSDB_CONTAINER_NAME="kabuto" COSMOSDB_PARTITION_KEY="/id" # --------- diff --git a/Makefile b/Makefile index 6a3e94f..f63291a 100644 --- a/Makefile +++ b/Makefile @@ -115,3 +115,15 @@ ci-test-docs: install-deps-docs docs ## run CI test for documentation .PHONY: langgraph-studio langgraph-studio: ## run LangGraph Studio uv run langgraph dev + +.PHONY: fastapi-dev +fastapi-dev: ## run FastAPI + uv run fastapi dev ./template_langgraph/services/fastapis/main.py + +.PHONY: fastapi +fastapi: ## run FastAPI in production mode + uv run fastapi run \ + --host "0.0.0.0" \ + --port 8000 \ + --workers 4 \ + template_langgraph/services/fastapis/main.py diff --git a/docs/images/fastapi.png b/docs/images/fastapi.png new file mode 100644 index 0000000..adee5db Binary files /dev/null and b/docs/images/fastapi.png differ diff --git a/docs/index.ja.md b/docs/index.ja.md index 52ee0ff..b15fd8c 100644 --- a/docs/index.ja.md +++ b/docs/index.ja.md @@ -35,6 +35,9 @@ - [uv](https://docs.astral.sh/uv/getting-started/installation/) - モダンな Python パッケージマネージャー - [GNU Make](https://www.gnu.org/software/make/) - 一般的なタスクの実行用 - [Docker](https://www.docker.com/) - ベクターデータベースの実行用（オプション） +- Azure + - [Azure OpenAI](https://learn.microsoft.com/ja-jp/azure/ai-foundry/openai/overview) - LLM API + - [Azure Cosmos DB](https://learn.microsoft.com/ja-jp/azure/cosmos-db/) - データストレージ（オプション） ## クイックスタート @@ -129,7 +132,7 @@ Pydantic モデルを使用して AI 応答から構造化データを取得す - **`template_langgraph/tools/`** - 検索、データ取得用ツール実装 - **`template_langgraph/utilities/`** - ドキュメント読み込みと処理用ヘルパー関数 -## 例の実行 +## サンプルコードの実行 ### オプション 1: LangGraph Studio（開発用推奨） @@ -159,7 +162,7 @@ uv run jupyter lab ![jupyterlab.png](./images/jupyterlab.png) -### オプション 3: コマンドライン（本番環境的） +### オプション 3: コマンドライン（クイックな開発） ターミナルからエージェントを実行： @@ -191,6 +194,23 @@ KABUTO起動時の紫画面点滅は「忍者プロトコル」初期化エラ ')]}} ``` +### オプション 4: FastAPI サーバー（プロダクションレディ） + +FastAPI サーバーを実行して、エージェントを API として公開： + +```shell +uv run fastapi run \ + --host "0.0.0.0" \ + --port 8000 \ + --workers 4 \ + template_langgraph/services/fastapis/main.py +# http://localhost:8000/docs を開いて Swagger UI 経由で API にアクセス +``` + +これにより、HTTP リクエストを介してプログラム的にエージェントと対話できます。 + +![fastapi.png](./images/fastapi.png) + ## 実演されている主要概念 ### 1. **ReAct パターン**（推論 + 行動） @@ -237,8 +257,8 @@ LangGraph が複数のインタラクションステップにわたってコン ## 学習リソース -- [LangGraph 文書](https://langchain-ai.github.io/langgraph/) -- [LangChain 文書](https://python.langchain.com/) +- [LangGraph 公式ドキュメント](https://langchain-ai.github.io/langgraph/) +- [LangChain 公式ドキュメント](https://python.langchain.com/) ## アーキテクチャの例 diff --git a/docs/index.md b/docs/index.md index 8939e76..e684e36 100644 --- a/docs/index.md +++ b/docs/index.md @@ -35,6 +35,9 @@ This template provides working examples of all these patterns using LangGraph. - [uv](https://docs.astral.sh/uv/getting-started/installation/) - Modern Python package manager - [GNU Make](https://www.gnu.org/software/make/) - For running common tasks - [Docker](https://www.docker.com/) - For running vector databases (optional) +- Azure + - [Azure OpenAI](https://learn.microsoft.com/ja-jp/azure/ai-foundry/openai/overview) - LLM API + - [Azure Cosmos DB](https://learn.microsoft.com/ja-jp/azure/cosmos-db/) - Data storage (optional) ## Quick Start @@ -159,7 +162,7 @@ uv run jupyter lab ![jupyterlab.png](./images/jupyterlab.png) -### Option 3: Command Line (Production-like) +### Option 3: Command Line (Quick development) Run agents from the terminal: @@ -191,6 +194,23 @@ The purple screen flashing during KABUTO startup indicates a "Shinobi Protocol" ')]}} ``` +### Option 4: FastAPI (Production-ready) + +Run the FastAPI server to expose the agent as an API: + +```shell +uv run fastapi run \ + --host "0.0.0.0" \ + --port 8000 \ + --workers 4 \ + template_langgraph/services/fastapis/main.py +# Access the API at http://localhost:8000/docs via Swagger UI +``` + +This allows you to interact with the agent programmatically via HTTP requests. + +![fastapi.png](./images/fastapi.png) + ## Key Concepts Demonstrated ### 1. **ReAct Pattern** (Reasoning + Acting) diff --git a/docs/references.ja.md b/docs/references.ja.md index 0344afe..d6320c7 100644 --- a/docs/references.ja.md +++ b/docs/references.ja.md @@ -20,3 +20,7 @@ - [CSVLoader](https://python.langchain.com/docs/how_to/document_loader_csv/) - [Qdrant](https://github.com/qdrant/qdrant) - [Azure Cosmos DB No SQL](https://python.langchain.com/docs/integrations/vectorstores/azure_cosmos_db_no_sql/) + +### Services + +- [FastAPI](https://fastapi.tiangolo.com/) diff --git a/docs/references.md b/docs/references.md index 6b9b0d8..ec05630 100644 --- a/docs/references.md +++ b/docs/references.md @@ -20,3 +20,7 @@ - [CSVLoader](https://python.langchain.com/docs/how_to/document_loader_csv/) - [Qdrant](https://github.com/qdrant/qdrant) - [Azure Cosmos DB No SQL](https://python.langchain.com/docs/integrations/vectorstores/azure_cosmos_db_no_sql/) + +### Services + +- [FastAPI](https://fastapi.tiangolo.com/) diff --git a/pyproject.toml b/pyproject.toml index 5f07f3b..d74dfc1 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -7,6 +7,7 @@ requires-python = ">=3.10" dependencies = [ "azure-cosmos>=4.9.0", "elasticsearch>=9.1.0", + "fastapi[standard]>=0.116.1", "httpx>=0.28.1", "langchain-azure-ai>=0.1.4", "langchain-community>=0.3.27", diff --git a/template_langgraph/loggers.py b/template_langgraph/loggers.py index f4c8c1f..8953adf 100644 --- a/template_langgraph/loggers.py +++ b/template_langgraph/loggers.py @@ -1,16 +1,21 @@ import logging -def get_logger(name: str = "default") -> logging.Logger: +def get_logger( + name: str = "default", + verbosity: int = logging.INFO, +) -> logging.Logger: """ Get a logger with the specified name. Args: name (str): The name of the logger. + verbosity (int): The logging level (default: logging.INFO). Returns: logging.Logger: Configured logger instance. """ logger = logging.getLogger(name) + logger.setLevel(verbosity) formatter = logging.Formatter("%(asctime)s [%(levelname)8s] %(message)s (%(filename)s:%(lineno)s)") handler = logging.StreamHandler() handler.setFormatter(formatter) diff --git a/template_langgraph/services/__init__.py b/template_langgraph/services/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/template_langgraph/services/fastapis/__init__.py b/template_langgraph/services/fastapis/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/template_langgraph/services/fastapis/main.py b/template_langgraph/services/fastapis/main.py new file mode 100644 index 0000000..1e4ab15 --- /dev/null +++ b/template_langgraph/services/fastapis/main.py @@ -0,0 +1,12 @@ +from fastapi import FastAPI + +from template_langgraph.services.fastapis.routers import agents as agents_router + +app = FastAPI() + + +app.include_router( + agents_router.router, + prefix="/agents", + tags=["agents"], +) diff --git a/template_langgraph/services/fastapis/routers/__init__.py b/template_langgraph/services/fastapis/routers/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/template_langgraph/services/fastapis/routers/agents.py b/template_langgraph/services/fastapis/routers/agents.py new file mode 100644 index 0000000..28c1dcb --- /dev/null +++ b/template_langgraph/services/fastapis/routers/agents.py @@ -0,0 +1,56 @@ +import logging + +from fastapi import APIRouter +from pydantic import BaseModel, ConfigDict + +from template_langgraph.agents.chat_with_tools_agent.agent import AgentState +from template_langgraph.agents.chat_with_tools_agent.agent import graph as chat_with_tools_agent +from template_langgraph.loggers import get_logger + +router = APIRouter() +logger = get_logger( + name=__name__, + verbosity=logging.DEBUG, +) + + +class RunChatWithToolsAgentRequest(BaseModel): + model_config = ConfigDict(extra="ignore") + question: str + + +class RunChatWithToolsAgentResponse(BaseModel): + model_config = ConfigDict(extra="ignore") + response: str + + +@router.post( + "/chat_with_tools_agent/", + response_model=RunChatWithToolsAgentResponse, + operation_id="create_transcription_job", +) +async def run_chat_with_tools_agent( + request: RunChatWithToolsAgentRequest, +) -> RunChatWithToolsAgentResponse: + try: + async for event in chat_with_tools_agent.astream( + input=AgentState( + messages=[ + { + "role": "user", + "content": request.question, + }, + ], + ), + config={ + "recursion_limit": 30, + }, + ): + logger.debug(f"Event received: {event}") + response = event["chat_with_tools"]["messages"][0].content + return RunChatWithToolsAgentResponse(response=response) + except Exception as e: + logger.error(f"Error processing event: {e}") + return RunChatWithToolsAgentResponse( + response=f"An error occurred while processing your request with {e}", + ) diff --git a/uv.lock b/uv.lock index fb05d5c..02c97c2 100644 --- a/uv.lock +++ 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