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Make --config a global CLI parameter, add it as a param to HaikuRAGApp

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Yiorgis Gozadinos 2025-11-07 10:17:25 +02:00
parent bf09807b56
commit 3c557d5bfe
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8 changed files with 167 additions and 126 deletions
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7
CHANGELOG.md
View file

@ -1,6 +1,13 @@
# Changelog
## [Unreleased]
### Changed
- **Configuration**: All CLI commands now properly support `--config` parameter for specifying custom configuration files
- Configuration loading consolidated across CLI, app, and client with consistent resolution order
- `HaikuRAGApp`, MCP server, and A2A server now accept `config` parameter for programmatic configuration
- Updated CLI documentation to clarify global vs per-command options
## [0.14.1] - 2025-11-06
### Added

10
docs/cli.md
View file

@ -3,14 +3,20 @@
The `haiku-rag` CLI provides complete document management functionality.
!!! note
All commands support:
Global options (must be specified before the command):
- `--config` - Specify custom configuration file
- `--version` / `-v` - Show version and exit
Per-command options:
- `--db` - Specify custom database path
- `-h` - Show help for specific command
Example:
```bash
haiku-rag list --db /path/to/custom.db
haiku-rag --config /path/to/config.yaml list
haiku-rag --config /path/to/config.yaml list --db /path/to/custom.db
haiku-rag add -h
```

11
haiku_rag_slim/haiku/rag/a2a/__init__.py
View file

@ -5,7 +5,7 @@ from pathlib import Path
import logfire
from pydantic_ai import Agent, RunContext
from haiku.rag.config import Config
from haiku.rag.config import AppConfig, Config
from haiku.rag.graph_common import get_model
from .context import load_message_history, save_message_history
@ -42,6 +42,7 @@ __all__ = [
def create_a2a_app(
db_path: Path,
config: AppConfig = Config,
security_schemes: dict | None = None,
security: list[dict[str, list[str]]] | None = None,
):
@ -49,6 +50,7 @@ def create_a2a_app(
Args:
db_path: Path to the LanceDB database
config: App configuration
security_schemes: Optional security scheme definitions for the AgentCard
security: Optional security requirements for the AgentCard
@ -57,12 +59,12 @@ def create_a2a_app(
"""
base_storage = InMemoryStorage()
storage = LRUMemoryStorage(
storage=base_storage, max_contexts=Config.a2a.max_contexts
storage=base_storage, max_contexts=config.a2a.max_contexts
)
broker = InMemoryBroker()
# Create the agent with native search tool
model = get_model(Config.qa.provider, Config.qa.model)
model = get_model(config.qa.provider, config.qa.model)
agent = Agent(
model=model,
deps_type=AgentDependencies,
@ -115,12 +117,13 @@ def create_a2a_app(
broker=broker,
db_path=db_path,
agent=agent, # type: ignore
config=config,
)
# Create FastA2A app with custom worker lifecycle
@asynccontextmanager
async def lifespan(app):
logger.info(f"Started A2A server (max contexts: {Config.a2a.max_contexts})")
logger.info(f"Started A2A server (max contexts: {config.a2a.max_contexts})")
async with app.task_manager:
async with worker.run():
yield

5
haiku_rag_slim/haiku/rag/a2a/worker.py
View file

@ -9,6 +9,7 @@ from haiku.rag.a2a.context import load_message_history, save_message_history
from haiku.rag.a2a.models import AgentDependencies
from haiku.rag.a2a.skills import extract_question_from_task
from haiku.rag.client import HaikuRAG
from haiku.rag.config import AppConfig, Config
try:
from fasta2a import Worker # type: ignore
@ -37,10 +38,12 @@ class ConversationalWorker(Worker[list[Message]]):
broker,
db_path: Path,
agent: "Agent[AgentDependencies, str]",
config: AppConfig = Config,
):
super().__init__(storage=storage, broker=broker)
self.db_path = db_path
self.agent = agent
self.config = config
async def run_task(self, params: TaskSendParams) -> None:
task = await self.storage.load_task(params["id"])
@ -62,7 +65,7 @@ class ConversationalWorker(Worker[list[Message]]):
return
try:
async with HaikuRAG(self.db_path) as client:
async with HaikuRAG(self.db_path, config=self.config) as client:
context = await self.storage.load_context(task["context_id"]) or []
message_history = load_message_history(context)

54
haiku_rag_slim/haiku/rag/app.py
View file

@ -9,7 +9,7 @@ from rich.markdown import Markdown
from rich.progress import Progress
from haiku.rag.client import HaikuRAG
from haiku.rag.config import Config
from haiku.rag.config import AppConfig, Config
from haiku.rag.mcp import create_mcp_server
from haiku.rag.monitor import FileWatcher
from haiku.rag.research.dependencies import ResearchContext
@ -23,8 +23,9 @@ logger = logging.getLogger(__name__)
class HaikuRAGApp:
def __init__(self, db_path: Path):
def __init__(self, db_path: Path, config: AppConfig = Config):
self.db_path = db_path
self.config = config
self.console = Console()
async def info(self):
@ -136,13 +137,13 @@ class HaikuRAGApp:
)
async def list_documents(self, filter: str | None = None):
async with HaikuRAG(db_path=self.db_path) as self.client:
async with HaikuRAG(db_path=self.db_path, config=self.config) as self.client:
documents = await self.client.list_documents(filter=filter)
for doc in documents:
self._rich_print_document(doc, truncate=True)
async def add_document_from_text(self, text: str, metadata: dict | None = None):
async with HaikuRAG(db_path=self.db_path) as self.client:
async with HaikuRAG(db_path=self.db_path, config=self.config) as self.client:
doc = await self.client.create_document(text, metadata=metadata)
self._rich_print_document(doc, truncate=True)
self.console.print(
@ -152,7 +153,7 @@ class HaikuRAGApp:
async def add_document_from_source(
self, source: str, title: str | None = None, metadata: dict | None = None
):
async with HaikuRAG(db_path=self.db_path) as self.client:
async with HaikuRAG(db_path=self.db_path, config=self.config) as self.client:
result = await self.client.create_document_from_source(
source, title=title, metadata=metadata
)
@ -169,7 +170,7 @@ class HaikuRAGApp:
)
async def get_document(self, doc_id: str):
async with HaikuRAG(db_path=self.db_path) as self.client:
async with HaikuRAG(db_path=self.db_path, config=self.config) as self.client:
doc = await self.client.get_document_by_id(doc_id)
if doc is None:
self.console.print(f"[red]Document with id {doc_id} not found.[/red]")
@ -177,7 +178,7 @@ class HaikuRAGApp:
self._rich_print_document(doc, truncate=False)
async def delete_document(self, doc_id: str):
async with HaikuRAG(db_path=self.db_path) as self.client:
async with HaikuRAG(db_path=self.db_path, config=self.config) as self.client:
deleted = await self.client.delete_document(doc_id)
if deleted:
self.console.print(
@ -189,7 +190,7 @@ class HaikuRAGApp:
)
async def search(self, query: str, limit: int = 5, filter: str | None = None):
async with HaikuRAG(db_path=self.db_path) as self.client:
async with HaikuRAG(db_path=self.db_path, config=self.config) as self.client:
results = await self.client.search(query, limit=limit, filter=filter)
if not results:
self.console.print("[yellow]No results found.[/yellow]")
@ -212,21 +213,20 @@ class HaikuRAGApp:
deep: Use deep QA mode (multi-step reasoning)
verbose: Show verbose output
"""
async with HaikuRAG(db_path=self.db_path) as self.client:
async with HaikuRAG(db_path=self.db_path, config=self.config) as self.client:
try:
if deep:
from rich.console import Console
from haiku.rag.config import Config
from haiku.rag.qa.deep.dependencies import DeepQAContext
from haiku.rag.qa.deep.graph import build_deep_qa_graph
from haiku.rag.qa.deep.state import DeepQADeps, DeepQAState
graph = build_deep_qa_graph(config=Config)
graph = build_deep_qa_graph(config=self.config)
context = DeepQAContext(
original_question=question, use_citations=cite
)
state = DeepQAState.from_config(context=context, config=Config)
state = DeepQAState.from_config(context=context, config=self.config)
deps = DeepQADeps(
client=self.client, console=Console() if verbose else None
)
@ -254,18 +254,16 @@ class HaikuRAGApp:
question: The research question
verbose: Show verbose output
"""
async with HaikuRAG(db_path=self.db_path) as client:
async with HaikuRAG(db_path=self.db_path, config=self.config) as client:
try:
from haiku.rag.config import Config
if verbose:
self.console.print("[bold cyan]Starting research[/bold cyan]")
self.console.print(f"[bold blue]Question:[/bold blue] {question}")
self.console.print()
graph = build_research_graph(config=Config)
graph = build_research_graph(config=self.config)
context = ResearchContext(original_question=question)
state = ResearchState.from_config(context=context, config=Config)
state = ResearchState.from_config(context=context, config=self.config)
deps = ResearchDeps(
client=client, console=self.console if verbose else None
)
@ -341,7 +339,9 @@ class HaikuRAGApp:
self.console.print(f"[red]Error during research: {e}[/red]")
async def rebuild(self):
async with HaikuRAG(db_path=self.db_path, skip_validation=True) as client:
async with HaikuRAG(
db_path=self.db_path, config=self.config, skip_validation=True
) as client:
try:
documents = await client.list_documents()
total_docs = len(documents)
@ -369,7 +369,9 @@ class HaikuRAGApp:
async def vacuum(self):
"""Run database maintenance: optimize and cleanup table history."""
try:
async with HaikuRAG(db_path=self.db_path, skip_validation=True) as client:
async with HaikuRAG(
db_path=self.db_path, config=self.config, skip_validation=True
) as client:
await client.vacuum()
self.console.print(
"[bold green]Vacuum completed successfully.[/bold green]"
@ -383,7 +385,7 @@ class HaikuRAGApp:
self.console.print()
# Get all config fields dynamically
for field_name, field_value in Config.model_dump().items():
for field_name, field_value in self.config.model_dump().items():
# Format the display value
if isinstance(field_value, str) and (
"key" in field_name.lower()
@ -458,18 +460,18 @@ class HaikuRAGApp:
a2a_port: int = 8000,
):
"""Start the server with selected services."""
async with HaikuRAG(self.db_path) as client:
async with HaikuRAG(self.db_path, config=self.config) as client:
tasks = []
# Start file monitor if enabled
if enable_monitor:
monitor = FileWatcher(client=client)
monitor = FileWatcher(client=client, config=self.config)
monitor_task = asyncio.create_task(monitor.observe())
tasks.append(monitor_task)
# Start MCP server if enabled
if enable_mcp:
server = create_mcp_server(self.db_path)
server = create_mcp_server(self.db_path, config=self.config)
async def run_mcp():
if mcp_transport == "stdio":
@ -496,15 +498,15 @@ class HaikuRAGApp:
logger.info(f"Starting A2A server on {a2a_host}:{a2a_port}")
async def run_a2a():
app = create_a2a_app(db_path=self.db_path)
config = uvicorn.Config(
app = create_a2a_app(db_path=self.db_path, config=self.config)
uvicorn_config = uvicorn.Config(
app,
host=a2a_host,
port=a2a_port,
log_level="warning",
access_log=False,
)
server = uvicorn.Server(config)
server = uvicorn.Server(uvicorn_config)
await server.serve()
a2a_task = asyncio.create_task(run_a2a())

137
haiku_rag_slim/haiku/rag/cli.py
View file

@ -15,7 +15,14 @@ try:
except ImportError:
pass
from haiku.rag.config import Config
from haiku.rag.app import HaikuRAGApp
from haiku.rag.config import (
AppConfig,
find_config_file,
get_config,
load_yaml_config,
set_config,
)
from haiku.rag.logging import configure_cli_logging
from haiku.rag.utils import is_up_to_date
@ -24,6 +31,20 @@ cli = typer.Typer(
)
def create_app(db: Path | None = None) -> HaikuRAGApp:
"""Create HaikuRAGApp with loaded config and resolved database path.
Args:
db: Optional database path. If None, uses path from config.
Returns:
HaikuRAGApp instance with proper config and db path.
"""
config = get_config()
db_path = db if db else config.storage.data_dir / "haiku.rag.lancedb"
return HaikuRAGApp(db_path=db_path, config=config)
async def check_version():
"""Check if haiku.rag is up to date and show warning if not."""
up_to_date, current_version, latest_version = await is_up_to_date()
@ -57,14 +78,15 @@ def main(
),
):
"""haiku.rag CLI - Vector database RAG system"""
# Store config path in environment for config loader to use
if config:
import os
os.environ["HAIKU_RAG_CONFIG_PATH"] = str(config.absolute())
# Load config from --config, local folder, or default directory
config_path = find_config_file(cli_path=config)
if config_path:
yaml_data = load_yaml_config(config_path)
loaded_config = AppConfig.model_validate(yaml_data)
set_config(loaded_config)
# Configure logging minimally for CLI context
if Config.environment == "development":
if get_config().environment == "development":
# Lazy import logfire only in development
try:
import logfire # type: ignore
@ -87,8 +109,8 @@ def main(
@cli.command("list", help="List all stored documents")
def list_documents(
db: Path = typer.Option(
Config.storage.data_dir / "haiku.rag.lancedb",
db: Path | None = typer.Option(
None,
"--db",
help="Path to the LanceDB database file",
),
@ -99,9 +121,7 @@ def list_documents(
help="SQL WHERE clause to filter documents (e.g., \"uri LIKE '%arxiv%'\")",
),
):
from haiku.rag.app import HaikuRAGApp
app = HaikuRAGApp(db_path=db)
app = create_app(db)
asyncio.run(app.list_documents(filter=filter))
@ -140,15 +160,13 @@ def add_document_text(
help="Metadata entries as KEY=VALUE (repeatable)",
metavar="KEY=VALUE",
),
db: Path = typer.Option(
Config.storage.data_dir / "haiku.rag.lancedb",
db: Path | None = typer.Option(
None,
"--db",
help="Path to the LanceDB database file",
),
):
from haiku.rag.app import HaikuRAGApp
app = HaikuRAGApp(db_path=db)
app = create_app(db)
metadata = _parse_meta_options(meta)
asyncio.run(app.add_document_from_text(text=text, metadata=metadata or None))
@ -169,15 +187,13 @@ def add_document_src(
help="Metadata entries as KEY=VALUE (repeatable)",
metavar="KEY=VALUE",
),
db: Path = typer.Option(
Config.storage.data_dir / "haiku.rag.lancedb",
db: Path | None = typer.Option(
None,
"--db",
help="Path to the LanceDB database file",
),
):
from haiku.rag.app import HaikuRAGApp
app = HaikuRAGApp(db_path=db)
app = create_app(db)
metadata = _parse_meta_options(meta)
asyncio.run(
app.add_document_from_source(
@ -191,15 +207,13 @@ def get_document(
doc_id: str = typer.Argument(
help="The ID of the document to get",
),
db: Path = typer.Option(
Config.storage.data_dir / "haiku.rag.lancedb",
db: Path | None = typer.Option(
None,
"--db",
help="Path to the LanceDB database file",
),
):
from haiku.rag.app import HaikuRAGApp
app = HaikuRAGApp(db_path=db)
app = create_app(db)
asyncio.run(app.get_document(doc_id=doc_id))
@ -208,15 +222,13 @@ def delete_document(
doc_id: str = typer.Argument(
help="The ID of the document to delete",
),
db: Path = typer.Option(
Config.storage.data_dir / "haiku.rag.lancedb",
db: Path | None = typer.Option(
None,
"--db",
help="Path to the LanceDB database file",
),
):
from haiku.rag.app import HaikuRAGApp
app = HaikuRAGApp(db_path=db)
app = create_app(db)
asyncio.run(app.delete_document(doc_id=doc_id))
@ -241,15 +253,13 @@ def search(
"-f",
help="SQL WHERE clause to filter documents (e.g., \"uri LIKE '%arxiv%'\")",
),
db: Path = typer.Option(
Config.storage.data_dir / "haiku.rag.lancedb",
db: Path | None = typer.Option(
None,
"--db",
help="Path to the LanceDB database file",
),
):
from haiku.rag.app import HaikuRAGApp
app = HaikuRAGApp(db_path=db)
app = create_app(db)
asyncio.run(app.search(query=query, limit=limit, filter=filter))
@ -258,8 +268,8 @@ def ask(
question: str = typer.Argument(
help="The question to ask",
),
db: Path = typer.Option(
Config.storage.data_dir / "haiku.rag.lancedb",
db: Path | None = typer.Option(
None,
"--db",
help="Path to the LanceDB database file",
),
@ -279,9 +289,7 @@ def ask(
help="Show verbose progress output (only with --deep)",
),
):
from haiku.rag.app import HaikuRAGApp
app = HaikuRAGApp(db_path=db)
app = create_app(db)
asyncio.run(app.ask(question=question, cite=cite, deep=deep, verbose=verbose))
@ -290,8 +298,8 @@ def research(
question: str = typer.Argument(
help="The research question to investigate",
),
db: Path = typer.Option(
Config.storage.data_dir / "haiku.rag.lancedb",
db: Path | None = typer.Option(
None,
"--db",
help="Path to the LanceDB database file",
),
@ -301,17 +309,14 @@ def research(
help="Show verbose progress output",
),
):
from haiku.rag.app import HaikuRAGApp
app = HaikuRAGApp(db_path=db)
app = create_app(db)
asyncio.run(app.research(question=question, verbose=verbose))
@cli.command("settings", help="Display current configuration settings")
def settings():
from haiku.rag.app import HaikuRAGApp
app = HaikuRAGApp(db_path=Path()) # Don't need actual DB for settings
config = get_config()
app = HaikuRAGApp(db_path=Path(), config=config)
app.show_settings()
@ -368,43 +373,37 @@ def init_config(
help="Rebuild the database by deleting all chunks and re-indexing all documents",
)
def rebuild(
db: Path = typer.Option(
Config.storage.data_dir / "haiku.rag.lancedb",
db: Path | None = typer.Option(
None,
"--db",
help="Path to the LanceDB database file",
),
):
from haiku.rag.app import HaikuRAGApp
app = HaikuRAGApp(db_path=db)
app = create_app(db)
asyncio.run(app.rebuild())
@cli.command("vacuum", help="Optimize and clean up all tables to reduce disk usage")
def vacuum(
db: Path = typer.Option(
Config.storage.data_dir / "haiku.rag.lancedb",
db: Path | None = typer.Option(
None,
"--db",
help="Path to the LanceDB database file",
),
):
from haiku.rag.app import HaikuRAGApp
app = HaikuRAGApp(db_path=db)
app = create_app(db)
asyncio.run(app.vacuum())
@cli.command("info", help="Show read-only database info (no upgrades or writes)")
def info(
db: Path = typer.Option(
Config.storage.data_dir / "haiku.rag.lancedb",
db: Path | None = typer.Option(
None,
"--db",
help="Path to the LanceDB database file",
),
):
from haiku.rag.app import HaikuRAGApp
app = HaikuRAGApp(db_path=db)
app = create_app(db)
asyncio.run(app.info())
@ -425,8 +424,8 @@ def download_models_cmd():
help="Start haiku.rag server. Use --monitor, --mcp, and/or --a2a to enable services.",
)
def serve(
db: Path = typer.Option(
Config.storage.data_dir / "haiku.rag.lancedb",
db: Path | None = typer.Option(
None,
"--db",
help="Path to the LanceDB database file",
),
@ -478,9 +477,7 @@ def serve(
typer.echo("Error: --stdio requires --mcp")
raise typer.Exit(1)
from haiku.rag.app import HaikuRAGApp
app = HaikuRAGApp(db_path=db)
app = create_app(db)
transport = "stdio" if stdio else None

38
haiku_rag_slim/haiku/rag/config/__init__.py
View file

@ -41,12 +41,36 @@ __all__ = [
"load_yaml_config",
"generate_default_config",
"load_config_from_env",
"get_config",
"set_config",
]
# Load config from YAML file or use defaults
config_path = find_config_file(None)
if config_path:
yaml_data = load_yaml_config(config_path)
Config = AppConfig.model_validate(yaml_data)
else:
Config = AppConfig()
# Global config instance - initially loads from default locations
_config: AppConfig | None = None
def _load_default_config() -> AppConfig:
"""Load config from default locations (used at import time)."""
config_path = find_config_file(None)
if config_path:
yaml_data = load_yaml_config(config_path)
return AppConfig.model_validate(yaml_data)
return AppConfig()
def set_config(config: AppConfig) -> None:
"""Set the global config instance (used by CLI to override)."""
global _config
_config = config
def get_config() -> AppConfig:
"""Get the current config instance."""
global _config
if _config is None:
_config = _load_default_config()
return _config
# Legacy compatibility - Config is the default instance
Config = _load_default_config()

31
haiku_rag_slim/haiku/rag/mcp.py
View file

@ -5,7 +5,7 @@ from fastmcp import FastMCP
from pydantic import BaseModel
from haiku.rag.client import HaikuRAG
from haiku.rag.config import Config
from haiku.rag.config import AppConfig, Config
from haiku.rag.research.models import ResearchReport
@ -25,7 +25,7 @@ class DocumentResult(BaseModel):
updated_at: str
def create_mcp_server(db_path: Path) -> FastMCP:
def create_mcp_server(db_path: Path, config: AppConfig = Config) -> FastMCP:
"""Create an MCP server with the specified database path."""
mcp = FastMCP("haiku-rag")
@ -37,7 +37,7 @@ def create_mcp_server(db_path: Path) -> FastMCP:
) -> str | None:
"""Add a document to the RAG system from a file path."""
try:
async with HaikuRAG(db_path) as rag:
async with HaikuRAG(db_path, config=config) as rag:
result = await rag.create_document_from_source(
Path(file_path), title=title, metadata=metadata or {}
)
@ -54,7 +54,7 @@ def create_mcp_server(db_path: Path) -> FastMCP:
) -> str | None:
"""Add a document to the RAG system from a URL."""
try:
async with HaikuRAG(db_path) as rag:
async with HaikuRAG(db_path, config=config) as rag:
result = await rag.create_document_from_source(
url, title=title, metadata=metadata or {}
)
@ -74,7 +74,7 @@ def create_mcp_server(db_path: Path) -> FastMCP:
) -> str | None:
"""Add a document to the RAG system from text content."""
try:
async with HaikuRAG(db_path) as rag:
async with HaikuRAG(db_path, config=config) as rag:
document = await rag.create_document(
content, uri, title=title, metadata=metadata or {}
)
@ -86,7 +86,7 @@ def create_mcp_server(db_path: Path) -> FastMCP:
async def search_documents(query: str, limit: int = 5) -> list[SearchResult]:
"""Search the RAG system for documents using hybrid search (vector similarity + full-text search)."""
try:
async with HaikuRAG(db_path) as rag:
async with HaikuRAG(db_path, config=config) as rag:
results = await rag.search(query, limit)
search_results = []
@ -110,7 +110,7 @@ def create_mcp_server(db_path: Path) -> FastMCP:
async def get_document(document_id: str) -> DocumentResult | None:
"""Get a document by its ID."""
try:
async with HaikuRAG(db_path) as rag:
async with HaikuRAG(db_path, config=config) as rag:
document = await rag.get_document_by_id(document_id)
if document is None:
@ -145,7 +145,7 @@ def create_mcp_server(db_path: Path) -> FastMCP:
List of DocumentResult instances matching the criteria.
"""
try:
async with HaikuRAG(db_path) as rag:
async with HaikuRAG(db_path, config=config) as rag:
documents = await rag.list_documents(limit, offset, filter)
return [
@ -167,7 +167,7 @@ def create_mcp_server(db_path: Path) -> FastMCP:
async def delete_document(document_id: str) -> bool:
"""Delete a document by its ID."""
try:
async with HaikuRAG(db_path) as rag:
async with HaikuRAG(db_path, config=config) as rag:
return await rag.delete_document(document_id)
except Exception:
return False
@ -189,18 +189,17 @@ def create_mcp_server(db_path: Path) -> FastMCP:
The answer as a string.
"""
try:
async with HaikuRAG(db_path) as rag:
async with HaikuRAG(db_path, config=config) as rag:
if deep:
from haiku.rag.config import Config
from haiku.rag.qa.deep.dependencies import DeepQAContext
from haiku.rag.qa.deep.graph import build_deep_qa_graph
from haiku.rag.qa.deep.state import DeepQADeps, DeepQAState
graph = build_deep_qa_graph(config=Config)
graph = build_deep_qa_graph(config=config)
context = DeepQAContext(
original_question=question, use_citations=cite
)
state = DeepQAState.from_config(context=context, config=Config)
state = DeepQAState.from_config(context=context, config=config)
deps = DeepQADeps(client=rag)
result = await graph.run(state=state, deps=deps)
@ -231,10 +230,10 @@ def create_mcp_server(db_path: Path) -> FastMCP:
from haiku.rag.research.graph import build_research_graph
from haiku.rag.research.state import ResearchDeps, ResearchState
async with HaikuRAG(db_path) as rag:
graph = build_research_graph(config=Config)
async with HaikuRAG(db_path, config=config) as rag:
graph = build_research_graph(config=config)
context = ResearchContext(original_question=question)
state = ResearchState.from_config(context=context, config=Config)
state = ResearchState.from_config(context=context, config=config)
deps = ResearchDeps(client=rag)
result = await graph.run(state=state, deps=deps)