feat: add gateway module with FastAPI server (#5)

* chore: add .claude/ to .gitignore

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

* feat: add gateway module with FastAPI server

- Add new gateway module with FastAPI app for API routing
- Add gateway and serve commands to Makefile
- Add fastapi, httpx, uvicorn, sse-starlette dependencies
- Fix model config retrieval in lead_agent (support both model_name and model)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

---------

Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
This commit is contained in:
DanielWalnut
2026-01-16 13:22:26 +08:00
committed by GitHub
parent 1f03fb3749
commit 7284eb15f1
13 changed files with 1125 additions and 41 deletions

3
.gitignore vendored
View File

@@ -23,4 +23,5 @@ config.yaml
# Coverage report
coverage.xml
coverage/
.deer-flow/
.deer-flow/
.claude/

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@@ -2,7 +2,16 @@ install:
uv sync
dev:
uvx --refresh --from "langgraph-cli[inmem]" --with-editable . --python 3.12 langgraph dev --no-browser --allow-blocking
uv run langgraph dev --no-browser --allow-blocking
gateway:
uv run uvicorn src.gateway.app:app --host 0.0.0.0 --port 8000 --reload
serve:
@trap 'kill 0' EXIT; \
uv run langgraph dev --no-browser --allow-blocking & \
sleep 3 && uv run uvicorn src.gateway.app:app --host 0.0.0.0 --port 8000 --reload & \
wait
lint:
uvx ruff check .

View File

@@ -7,15 +7,20 @@ requires-python = ">=3.12"
dependencies = [
"agent-sandbox>=0.0.19",
"dotenv>=0.9.9",
"fastapi>=0.115.0",
"httpx>=0.28.0",
"langchain>=1.2.3",
"langchain-deepseek>=1.0.1",
"langchain-openai>=1.1.7",
"langgraph>=1.0.6",
"langgraph-cli[inmem]>=0.4.11",
"markdownify>=1.2.2",
"pydantic>=2.12.5",
"pyyaml>=6.0.3",
"readabilipy>=0.3.0",
"sse-starlette>=2.1.0",
"tavily-python>=0.7.17",
"uvicorn[standard]>=0.34.0",
]
[dependency-groups]

View File

@@ -15,7 +15,7 @@ middlewares = [ThreadDataMiddleware(), SandboxMiddleware(), TitleMiddleware()]
def make_lead_agent(config: RunnableConfig):
thinking_enabled = config.get("configurable", {}).get("thinking_enabled", True)
model_name = config.get("configurable", {}).get("model_name")
model_name = config.get("configurable", {}).get("model_name") or config.get("configurable", {}).get("model")
print(f"thinking_enabled: {thinking_enabled}, model_name: {model_name}")
return create_agent(
model=create_chat_model(name=model_name, thinking_enabled=thinking_enabled),

View File

@@ -0,0 +1,4 @@
from .app import app, create_app
from .config import GatewayConfig, get_gateway_config
__all__ = ["app", "create_app", "GatewayConfig", "get_gateway_config"]

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@@ -0,0 +1,64 @@
import logging
from collections.abc import AsyncGenerator
from contextlib import asynccontextmanager
from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
from src.gateway.config import get_gateway_config
from src.gateway.routers import models, proxy
logger = logging.getLogger(__name__)
@asynccontextmanager
async def lifespan(app: FastAPI) -> AsyncGenerator[None, None]:
"""Application lifespan handler."""
config = get_gateway_config()
logger.info(f"Starting API Gateway on {config.host}:{config.port}")
logger.info(f"Proxying to LangGraph server at {config.langgraph_url}")
yield
logger.info("Shutting down API Gateway")
def create_app() -> FastAPI:
"""Create and configure the FastAPI application.
Returns:
Configured FastAPI application instance.
"""
config = get_gateway_config()
app = FastAPI(
title="DeerFlow API Gateway",
description="API Gateway for DeerFlow - proxies to LangGraph Server and provides custom endpoints",
version="0.1.0",
lifespan=lifespan,
)
# Add CORS middleware
app.add_middleware(
CORSMiddleware,
allow_origins=config.cors_origins,
allow_credentials=True,
allow_methods=["*"],
allow_headers=["*"],
)
# Include routers
# Models API is mounted at /api/models
app.include_router(models.router)
# Proxy router handles all LangGraph paths (must be last due to catch-all)
app.include_router(proxy.router)
@app.get("/health")
async def health_check() -> dict:
"""Health check endpoint."""
return {"status": "healthy", "service": "deer-flow-gateway"}
return app
# Create app instance for uvicorn
app = create_app()

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@@ -0,0 +1,33 @@
import os
from pydantic import BaseModel, Field
class GatewayConfig(BaseModel):
"""Configuration for the API Gateway."""
host: str = Field(default="0.0.0.0", description="Host to bind the gateway server")
port: int = Field(default=8000, description="Port to bind the gateway server")
langgraph_url: str = Field(default="http://localhost:2024", description="URL of the LangGraph server to proxy requests to")
cors_origins: list[str] = Field(default_factory=lambda: ["http://localhost:3000"], description="Allowed CORS origins")
proxy_timeout: float = Field(default=300.0, description="Timeout for proxy requests in seconds")
stream_timeout: float = Field(default=600.0, description="Timeout for streaming requests in seconds")
_gateway_config: GatewayConfig | None = None
def get_gateway_config() -> GatewayConfig:
"""Get gateway config, loading from environment if available."""
global _gateway_config
if _gateway_config is None:
cors_origins_str = os.getenv("CORS_ORIGINS", "http://localhost:3000")
_gateway_config = GatewayConfig(
host=os.getenv("GATEWAY_HOST", "0.0.0.0"),
port=int(os.getenv("GATEWAY_PORT", "8000")),
langgraph_url=os.getenv("LANGGRAPH_URL", "http://localhost:2024"),
cors_origins=cors_origins_str.split(","),
proxy_timeout=float(os.getenv("PROXY_TIMEOUT", "300")),
stream_timeout=float(os.getenv("STREAM_TIMEOUT", "600")),
)
return _gateway_config

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@@ -0,0 +1,3 @@
from . import models, proxy
__all__ = ["models", "proxy"]

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@@ -0,0 +1,67 @@
from fastapi import APIRouter, HTTPException
from pydantic import BaseModel, Field
from src.config import get_app_config
router = APIRouter(prefix="/api", tags=["models"])
class ModelResponse(BaseModel):
"""Response model for model information."""
name: str = Field(..., description="Unique identifier for the model")
display_name: str | None = Field(None, description="Human-readable name")
description: str | None = Field(None, description="Model description")
supports_thinking: bool = Field(default=False, description="Whether model supports thinking mode")
class ModelsListResponse(BaseModel):
"""Response model for listing all models."""
models: list[ModelResponse]
@router.get("/models", response_model=ModelsListResponse)
async def list_models() -> ModelsListResponse:
"""List all available models from configuration.
Returns model information suitable for frontend display,
excluding sensitive fields like API keys and internal configuration.
"""
config = get_app_config()
models = [
ModelResponse(
name=model.name,
display_name=model.display_name,
description=model.description,
supports_thinking=model.supports_thinking,
)
for model in config.models
]
return ModelsListResponse(models=models)
@router.get("/models/{model_name}", response_model=ModelResponse)
async def get_model(model_name: str) -> ModelResponse:
"""Get a specific model by name.
Args:
model_name: The unique name of the model to retrieve.
Returns:
Model information if found.
Raises:
HTTPException: 404 if model not found.
"""
config = get_app_config()
model = config.get_model_config(model_name)
if model is None:
raise HTTPException(status_code=404, detail=f"Model '{model_name}' not found")
return ModelResponse(
name=model.name,
display_name=model.display_name,
description=model.description,
supports_thinking=model.supports_thinking,
)

View File

@@ -0,0 +1,141 @@
import logging
from collections.abc import AsyncGenerator
import httpx
from fastapi import APIRouter, Request, Response
from fastapi.responses import StreamingResponse
from src.gateway.config import get_gateway_config
logger = logging.getLogger(__name__)
router = APIRouter(tags=["proxy"])
# Hop-by-hop headers that should not be forwarded
EXCLUDED_HEADERS = {
"host",
"connection",
"keep-alive",
"proxy-authenticate",
"proxy-authorization",
"te",
"trailers",
"transfer-encoding",
"upgrade",
"content-length",
}
async def stream_response(client: httpx.AsyncClient, method: str, url: str, headers: dict, body: bytes | None, timeout: float) -> AsyncGenerator[bytes, None]:
"""Stream response from the upstream server.
Args:
client: The httpx async client.
method: HTTP method.
url: Target URL.
headers: Request headers.
body: Request body.
timeout: Request timeout.
Yields:
Response chunks.
"""
async with client.stream(
method=method,
url=url,
headers=headers,
content=body,
timeout=timeout,
) as response:
async for chunk in response.aiter_bytes():
yield chunk
async def proxy_request(request: Request, path: str) -> Response | StreamingResponse:
"""Proxy a request to the LangGraph server.
Args:
request: The incoming FastAPI request.
path: The path to proxy to.
Returns:
Response or StreamingResponse depending on content type.
"""
config = get_gateway_config()
target_url = f"{config.langgraph_url}/{path}"
# Preserve query parameters
if request.url.query:
target_url = f"{target_url}?{request.url.query}"
# Prepare headers (exclude hop-by-hop headers)
headers = {key: value for key, value in request.headers.items() if key.lower() not in EXCLUDED_HEADERS}
# Read request body for non-GET requests
body = None
if request.method not in ("GET", "HEAD"):
body = await request.body()
async with httpx.AsyncClient() as client:
try:
# First, make a non-streaming request to check content type
response = await client.request(
method=request.method,
url=target_url,
headers=headers,
content=body,
timeout=config.proxy_timeout,
)
content_type = response.headers.get("content-type", "")
# Check if response is SSE (Server-Sent Events)
if "text/event-stream" in content_type:
# For SSE, we need to re-request with streaming
return StreamingResponse(
stream_response(client, request.method, target_url, headers, body, config.stream_timeout),
media_type="text/event-stream",
headers={
"Cache-Control": "no-cache",
"Connection": "keep-alive",
"X-Accel-Buffering": "no",
},
)
# Prepare response headers
response_headers = dict(response.headers)
for header in ["transfer-encoding", "connection", "keep-alive"]:
response_headers.pop(header, None)
return Response(
content=response.content,
status_code=response.status_code,
headers=response_headers,
)
except httpx.TimeoutException:
logger.error(f"Proxy request to {target_url} timed out")
return Response(
content='{"error": "Proxy request timed out"}',
status_code=504,
media_type="application/json",
)
except httpx.RequestError as e:
logger.error(f"Proxy request to {target_url} failed: {e}")
return Response(
content='{"error": "Proxy request failed"}',
status_code=502,
media_type="application/json",
)
@router.api_route(
"/{path:path}",
methods=["GET", "POST", "PUT", "DELETE", "PATCH"],
)
async def proxy_langgraph(request: Request, path: str) -> Response:
"""Proxy all requests to LangGraph server.
This catch-all route forwards requests to the LangGraph server.
"""
return await proxy_request(request, path)

795
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resolution: {integrity: sha512-5Vh9dGeblpTxWHpOx8iauV02popZDsCYMPIgiuw97OJ5uaDsL86cnqSFs5LZkG3ghHoX5isLgWzMs+eD1YzrnA==}
engines: {node: '>= 12.0.0'}
cpu: [arm64]
os: [linux]
libc: [musl]
lightningcss-linux-x64-gnu@1.30.2:
resolution: {integrity: sha512-Cfd46gdmj1vQ+lR6VRTTadNHu6ALuw2pKR9lYq4FnhvgBc4zWY1EtZcAc6EffShbb1MFrIPfLDXD6Xprbnni4w==}
engines: {node: '>= 12.0.0'}
cpu: [x64]
os: [linux]
libc: [glibc]
lightningcss-linux-x64-musl@1.30.2:
resolution: {integrity: sha512-XJaLUUFXb6/QG2lGIW6aIk6jKdtjtcffUT0NKvIqhSBY3hh9Ch+1LCeH80dR9q9LBjG3ewbDjnumefsLsP6aiA==}
engines: {node: '>= 12.0.0'}
cpu: [x64]
os: [linux]
libc: [musl]
lightningcss-win32-arm64-msvc@1.30.2:
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View File

@@ -31,7 +31,7 @@ export async function DELETE(
}
async function handleProxy(request: NextRequest, pathSegments: string[]) {
const targetUrl = `http://localhost:2024/${pathSegments.join("/")}`;
const targetUrl = `http://localhost:8000/${pathSegments.join("/")}`;
// Preserve query parameters
const searchParams = request.nextUrl.searchParams.toString();