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replace pyright with ty type checker

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Yiorgis Gozadinos 2026-01-19 15:50:14 +02:00
parent 2c264f4afc
commit 5e55c0df54
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24 changed files with 104 additions and 90 deletions
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2
.github/workflows/test.yml vendored
View file

@ -23,7 +23,7 @@ jobs:
- name: Lint
run: uv run ruff check
- name: Type check
run: uv run pyright
run: uv run ty check
lint-frontend:
runs-on: ubuntu-latest

10
.pre-commit-config.yaml
View file

@ -16,10 +16,14 @@ repos:
# Run the formatter.
- id: ruff-format
- repo: https://github.com/RobertCraigie/pyright-python
rev: v1.1.407
- repo: local
hooks:
- id: pyright
- id: ty
name: ty check
entry: uvx ty check
language: system
types: [python]
pass_filenames: false
- repo: local
hooks:

6
CHANGELOG.md
View file

@ -1,6 +1,12 @@
# Changelog
## [Unreleased]
### Changed
- **Type Checker**: Replaced pyright with [ty](https://github.com/astral-sh/ty), Astral's extremely fast Python type checker
- Added explicit `Agent[Deps, Output]` type annotations to all pydantic-ai agents for better type inference
- Removed ~24 unnecessary `# type: ignore` comments that ty correctly infers
## [0.26.6] - 2026-01-19
### Changed

2
app/backend/main.py
View file

@ -226,7 +226,7 @@ app = Starlette(
],
middleware=[
Middleware(
CORSMiddleware,
CORSMiddleware, # type: ignore[invalid-argument-type]
allow_origins=["http://localhost:3000", "http://frontend:3000"],
allow_credentials=True,
allow_methods=["*"],

6
evaluations/evaluations/datasets/hotpotqa.py
View file

@ -1,7 +1,7 @@
from collections.abc import Mapping
from typing import Any, cast
from datasets import Dataset, DatasetDict, load_dataset
from datasets import Dataset, load_dataset
from pydantic_evals import Case
from evaluations.config import DatasetSpec, DocumentPayload, RetrievalSample
@ -9,8 +9,8 @@ from evaluations.evaluators import MAPEvaluator
def load_hotpotqa_validation() -> Dataset:
dataset_dict = cast(DatasetDict, load_dataset("hotpotqa/hotpot_qa", "distractor"))
return cast(Dataset, dataset_dict["validation"])
dataset_dict = load_dataset("hotpotqa/hotpot_qa", "distractor")
return dataset_dict["validation"]
def extract_unique_documents(dataset: Dataset) -> list[dict[str, Any]]:

8
evaluations/evaluations/datasets/repliqa.py
View file

@ -1,7 +1,7 @@
from collections.abc import Mapping
from typing import Any, cast
from typing import Any
from datasets import Dataset, DatasetDict, load_dataset
from datasets import Dataset, load_dataset
from pydantic_evals import Case
from evaluations.config import DatasetSpec, DocumentPayload, RetrievalSample
@ -9,8 +9,8 @@ from evaluations.evaluators import MRREvaluator
def load_repliqa_corpus() -> Dataset:
dataset_dict = cast(DatasetDict, load_dataset("ServiceNow/repliqa"))
dataset = cast(Dataset, dataset_dict["repliqa_3"])
dataset_dict = load_dataset("ServiceNow/repliqa")
dataset = dataset_dict["repliqa_3"]
return dataset.filter(lambda doc: doc["document_topic"] == "News Stories")

12
evaluations/evaluations/datasets/wix.py
View file

@ -1,8 +1,8 @@
import json
from collections.abc import Iterable, Mapping
from typing import Any, cast
from typing import Any
from datasets import Dataset, DatasetDict, load_dataset
from datasets import Dataset, load_dataset
from pydantic_evals import Case
from evaluations.config import DatasetSpec, DocumentPayload, RetrievalSample
@ -10,8 +10,8 @@ from evaluations.evaluators import MAPEvaluator
def load_wix_corpus() -> Dataset:
dataset_dict = cast(DatasetDict, load_dataset("Wix/WixQA", "wix_kb_corpus"))
return cast(Dataset, dataset_dict["train"])
dataset_dict = load_dataset("Wix/WixQA", "wix_kb_corpus")
return dataset_dict["train"]
def map_wix_document(doc: Mapping[str, Any]) -> DocumentPayload:
@ -35,8 +35,8 @@ def map_wix_document(doc: Mapping[str, Any]) -> DocumentPayload:
def load_wix_qa() -> Dataset:
dataset_dict = cast(DatasetDict, load_dataset("Wix/WixQA", "wixqa_expertwritten"))
return cast(Dataset, dataset_dict["train"])
dataset_dict = load_dataset("Wix/WixQA", "wixqa_expertwritten")
return dataset_dict["train"]
def map_wix_retrieval(doc: Mapping[str, Any]) -> RetrievalSample | None:

2
evaluations/evaluations/evaluators/judge.py
View file

@ -40,7 +40,7 @@ class LLMJudge:
model_obj = get_model(model_config, config)
# Create Pydantic AI agent
self._agent = Agent(
self._agent: Agent[None, LLMJudgeResponseSchema] = Agent(
model=model_obj,
output_type=LLMJudgeResponseSchema,
system_prompt=ANSWER_EQUIVALENCE_RUBRIC,

7
haiku_rag_slim/haiku/rag/agents/qa/agent.py
View file

@ -32,7 +32,7 @@ class QuestionAnswerAgent:
self._client = client
model_obj = get_model(model_config, config)
self._agent = Agent(
self._agent: Agent[Dependencies, RawSearchAnswer] = Agent(
model=model_obj,
deps_type=Dependencies,
output_type=ToolOutput(RawSearchAnswer, max_retries=3),
@ -75,5 +75,6 @@ class QuestionAnswerAgent:
"""
deps = Dependencies(client=self._client, search_filter=filter)
result = await self._agent.run(question, deps=deps)
citations = resolve_citations(result.output.cited_chunks, deps.search_results)
return result.output.answer, citations
output = result.output
citations = resolve_citations(output.cited_chunks, deps.search_results)
return output.answer, citations

13
haiku_rag_slim/haiku/rag/agents/research/graph.py
View file

@ -105,7 +105,7 @@ async def _plan_step_logic(
else plan_prompt
)
plan_agent = Agent(
plan_agent: Agent[ResearchDependencies, ResearchPlan] = Agent(
model=get_model(model_config, config),
output_type=ResearchPlan,
instructions=effective_plan_prompt,
@ -151,7 +151,8 @@ async def _plan_step_logic(
agent_deps = ResearchDependencies(client=deps.client, context=state.context)
plan_result = await plan_agent.run(prompt, deps=agent_deps)
state.context.sub_questions = list(plan_result.output.sub_questions)
output = plan_result.output
state.context.sub_questions = list(output.sub_questions)
async def _search_one_step_logic(
@ -168,7 +169,7 @@ async def _search_one_step_logic(
deps.semaphore = asyncio.Semaphore(state.max_concurrency)
async with deps.semaphore:
agent = Agent(
agent: Agent[ResearchDependencies, RawSearchAnswer] = Agent(
model=get_model(model_config, config),
output_type=ToolOutput(RawSearchAnswer, max_retries=3),
instructions=search_prompt,
@ -289,7 +290,7 @@ def build_research_graph(
state = ctx.state
deps = ctx.deps
agent = Agent(
agent: Agent[ResearchDependencies, EvaluationResult] = Agent(
model=get_model(model_config, config),
output_type=EvaluationResult,
instructions=decision_prompt,
@ -350,7 +351,7 @@ def build_research_graph(
state = ctx.state
deps = ctx.deps
agent = Agent(
agent: Agent[ResearchDependencies, ResearchReport] = Agent(
model=get_model(model_config, config),
output_type=ResearchReport,
instructions=synthesis_prompt,
@ -488,7 +489,7 @@ def build_conversational_graph(
state = ctx.state
deps = ctx.deps
agent = Agent(
agent: Agent[ResearchDependencies, ConversationalAnswer] = Agent(
model=get_model(config.research.model, config),
output_type=ConversationalAnswer,
instructions=conversational_prompt,

2
haiku_rag_slim/haiku/rag/app.py
View file

@ -494,7 +494,7 @@ class HaikuRAGApp:
# Confidence (from last evaluation)
if state.last_eval:
conf = state.last_eval.confidence_score # type: ignore[attr-defined]
conf = state.last_eval.confidence_score
self.console.print(f"[bold cyan]Confidence:[/bold cyan] {conf:.1%}")
self.console.print()

2
haiku_rag_slim/haiku/rag/chat/app.py
View file

@ -51,7 +51,7 @@ except ImportError:
App = object # type: ignore
class ChatApp(App): # type: ignore[misc]
class ChatApp(App):
"""Textual TUI for conversational RAG."""
TITLE = "haiku.rag Chat"

2
haiku_rag_slim/haiku/rag/inspector/app.py
View file

@ -26,7 +26,7 @@ except ImportError:
App = object # type: ignore
class InspectorApp(App): # type: ignore[misc] # pragma: no cover
class InspectorApp(App): # pragma: no cover
"""Textual TUI for inspecting LanceDB data."""
TITLE = "haiku.rag DB Inspector"

4
haiku_rag_slim/haiku/rag/store/engine.py
View file

@ -258,7 +258,7 @@ class Store:
}
# Documents table stats
doc_stats: dict = self.documents_table.stats() # type: ignore[assignment]
doc_stats: dict = self.documents_table.stats()
stats_dict["documents"] = {
"exists": True,
"num_rows": doc_stats.get("num_rows", 0),
@ -266,7 +266,7 @@ class Store:
}
# Chunks table stats
chunk_stats: dict = self.chunks_table.stats() # type: ignore[assignment]
chunk_stats: dict = self.chunks_table.stats()
stats_dict["chunks"] = {
"exists": True,
"num_rows": chunk_stats.get("num_rows", 0),

4
haiku_rag_slim/haiku/rag/utils.py
View file

@ -185,11 +185,11 @@ def get_model(
if model_config.enable_thinking is not None:
if model_config.enable_thinking:
anthropic_settings = AnthropicModelSettings(
anthropic_thinking={"type": "enabled", "budget_tokens": 4096}
anthropic_thinking={"type": "enabled", "budget_tokens": 4096} # ty: ignore[invalid-argument-type]
)
else:
anthropic_settings = AnthropicModelSettings(
anthropic_thinking={"type": "disabled"}
anthropic_thinking={"type": "disabled"} # ty: ignore[invalid-argument-type]
)
anthropic_settings = apply_common_settings(

12
pyproject.toml
View file

@ -75,7 +75,7 @@ dev = [
"pydantic-ai-slim[bedrock]",
"pydantic-ai-slim[google]",
"pydantic-ai-slim[groq]",
"pyright>=1.1.408",
"ty>=0.0.1a17",
"pytest>=9.0.2",
"pytest-asyncio>=1.3.0",
"pytest-cov>=7.0.0",
@ -110,10 +110,12 @@ indent-style = "space"
skip-magic-trailing-comma = false
line-ending = "auto"
[tool.pyright]
venvPath = "."
venv = ".venv"
pythonVersion = "3.12"
[tool.ty.src]
exclude = ["examples/**"]
[tool.ty.environment]
python-version = "3.12"
python = ".venv"
[tool.pytest.ini_options]
asyncio_default_fixture_loop_scope = "session"

2
tests/agents/chat/test_chat_agent.py
View file

@ -83,7 +83,7 @@ def test_chat_agent_has_dynamic_system_prompt():
# (the add_background_context function)
assert len(agent._system_prompt_functions) >= 1
# Verify it's the add_background_context function
func_names = [r.function.__name__ for r in agent._system_prompt_functions]
func_names = [r.function.__name__ for r in agent._system_prompt_functions] # ty: ignore[unresolved-attribute]
assert "add_background_context" in func_names

6
tests/conftest.py
View file

@ -26,7 +26,7 @@ from datasets import Dataset, load_dataset, load_from_disk # noqa: E402
if TYPE_CHECKING:
from vcr import VCR
pydantic_ai.models.ALLOW_MODEL_REQUESTS = False
pydantic_ai.models.ALLOW_MODEL_REQUESTS = False # ty: ignore[invalid-assignment]
logging.getLogger("vcr.cassette").setLevel(logging.WARNING)
@ -35,10 +35,10 @@ def qa_corpus() -> Dataset:
ds_path = Path(__file__).parent / "data" / "dataset"
ds_path.mkdir(parents=True, exist_ok=True)
try:
ds: Dataset = load_from_disk(ds_path) # type: ignore
ds: Dataset = load_from_disk(ds_path) # ty: ignore[invalid-assignment]
return ds
except FileNotFoundError:
ds: Dataset = load_dataset("ServiceNow/repliqa")["repliqa_3"] # type: ignore
ds: Dataset = load_dataset("ServiceNow/repliqa")["repliqa_3"]
corpus = ds.filter(lambda doc: doc["document_topic"] == "News Stories")
corpus.save_to_disk(ds_path)
return corpus

2
tests/test_client.py
View file

@ -58,7 +58,7 @@ async def test_client_document_crud(qa_corpus: Dataset, temp_db_path):
# Test update_document
updated_doc = await client.update_document(
document_id=retrieved_doc.id, # type: ignore[arg-type]
document_id=retrieved_doc.id,
content="Updated content",
)
assert updated_doc.content == "Updated content"

32
tests/test_mcp.py
View file

@ -30,8 +30,7 @@ async def test_mcp_add_document_from_file():
t for t in tools.values() if t.name == "add_document_from_file"
)
result = await add_file_tool.fn(file_path="/test.txt") # type: ignore[attr-defined]
result = await add_file_tool.fn(file_path="/test.txt")
assert result == "doc123"
mock_rag.create_document_from_source.assert_called_once()
@ -52,9 +51,7 @@ async def test_mcp_ask_question():
tools = await mcp.get_tools()
ask_tool = next(t for t in tools.values() if t.name == "ask_question")
result = await ask_tool.fn( # type: ignore[attr-defined]
question="What is this?", cite=False, deep=False
)
result = await ask_tool.fn(question="What is this?", cite=False, deep=False)
assert result == "This is the answer"
mock_rag.ask.assert_called_once_with("What is this?")
@ -81,8 +78,7 @@ async def test_mcp_add_document_from_url():
t for t in tools.values() if t.name == "add_document_from_url"
)
result = await add_url_tool.fn(url="https://example.com") # type: ignore[attr-defined]
result = await add_url_tool.fn(url="https://example.com")
assert result == "doc456"
mock_rag.create_document_from_source.assert_called_once()
@ -108,9 +104,7 @@ async def test_mcp_add_document_from_text():
t for t in tools.values() if t.name == "add_document_from_text"
)
result = await add_text_tool.fn( # type: ignore[attr-defined]
content="test content", uri="text://test"
)
result = await add_text_tool.fn(content="test content", uri="text://test")
assert result == "doc789"
mock_rag.create_document.assert_called_once()
@ -141,8 +135,7 @@ async def test_mcp_search_documents():
t for t in tools.values() if t.name == "search_documents"
)
result = await search_tool.fn(query="test query", limit=5) # type: ignore[attr-defined]
result = await search_tool.fn(query="test query", limit=5)
assert len(result) == 2
assert result[0].document_id == "doc1"
assert result[0].content == "Result 1"
@ -174,8 +167,7 @@ async def test_mcp_get_document():
tools = await mcp.get_tools()
get_tool = next(t for t in tools.values() if t.name == "get_document")
result = await get_tool.fn(document_id="doc123") # type: ignore[attr-defined]
result = await get_tool.fn(document_id="doc123")
assert result is not None
assert result.id == "doc123"
assert result.content == "test"
@ -211,8 +203,7 @@ async def test_mcp_list_documents():
tools = await mcp.get_tools()
list_tool = next(t for t in tools.values() if t.name == "list_documents")
result = await list_tool.fn(limit=10, offset=0) # type: ignore[attr-defined]
result = await list_tool.fn(limit=10, offset=0)
assert len(result) == 2
assert result[0].id == "doc1"
assert result[1].id == "doc2"
@ -235,8 +226,7 @@ async def test_mcp_delete_document():
tools = await mcp.get_tools()
delete_tool = next(t for t in tools.values() if t.name == "delete_document")
result = await delete_tool.fn(document_id="doc123") # type: ignore[attr-defined]
result = await delete_tool.fn(document_id="doc123")
assert result is True
mock_rag.delete_document.assert_called_once_with("doc123")
@ -268,9 +258,7 @@ async def test_mcp_ask_question_deep():
ask_tool = next(t for t in tools.values() if t.name == "ask_question")
# cite=False to avoid citation formatting in output
result = await ask_tool.fn( # type: ignore[attr-defined]
question="Deep question?", cite=False, deep=True
)
result = await ask_tool.fn(question="Deep question?", cite=False, deep=True)
assert result == "Deep answer from research"
mock_graph.run.assert_called_once()
@ -311,7 +299,7 @@ async def test_mcp_research_question():
t for t in tools.values() if t.name == "research_question"
)
result = await research_tool.fn( # type: ignore[attr-defined]
result = await research_tool.fn(
question="Research question?",
)

2
tests/test_rebuild.py
View file

@ -167,7 +167,7 @@ async def test_rebuild_embed_only_with_changed_vector_dim(
content=c["content"],
content_fts=c["content_fts"],
metadata=c["metadata"],
order=c["order"],
order=c["order"], # ty: ignore[invalid-argument-type]
vector=[0.1] * 4096,
)
for c in chunk_data

4
tests/test_search.py
View file

@ -19,8 +19,8 @@ async def test_search_qa_corpus(qa_corpus: Dataset, temp_db_path):
for doc_data in qa_corpus:
if len(seen_documents) >= 10:
break
document_text = doc_data["document_extracted"] # type: ignore
document_id = doc_data.get("document_id", "") # type: ignore
document_text = doc_data["document_extracted"]
document_id = doc_data.get("document_id", "")
if document_id in seen_documents:
continue

10
tests/test_versioning.py
View file

@ -14,7 +14,7 @@ async def test_version_rollback_on_create_failure(temp_db_path):
await orig_create(chunks)
raise RuntimeError("boom")
client.chunk_repository.create = succeed_then_fail # type: ignore[method-assign]
client.chunk_repository.create = succeed_then_fail
# Attempt to create document; expect failure and rollback
content = "Hello, rollback!"
@ -43,20 +43,20 @@ async def test_version_rollback_on_update_failure(temp_db_path):
await orig_create(chunks)
raise RuntimeError("update fail")
client.chunk_repository.create = succeed_then_fail # type: ignore[method-assign]
client.chunk_repository.create = succeed_then_fail
# Attempt update
with pytest.raises(RuntimeError):
await client.update_document(
document_id=created.id, # type: ignore[arg-type]
document_id=created.id,
content="Updated content",
)
# Content and chunks should remain the original
persisted = await client.get_document_by_id(created.id) # type: ignore[arg-type]
persisted = await client.get_document_by_id(created.id)
assert persisted is not None
assert persisted.content == base_content
original_chunks = await client.chunk_repository.get_by_document_id(created.id) # type: ignore[arg-type]
original_chunks = await client.chunk_repository.get_by_document_id(created.id)
assert len(original_chunks) > 0

42
uv.lock
View file

@ -1304,12 +1304,12 @@ dev = [
{ name = "mkdocs-material" },
{ name = "pre-commit" },
{ name = "pydantic-ai-slim", extra = ["anthropic", "bedrock", "google", "groq"] },
{ name = "pyright" },
{ name = "pytest" },
{ name = "pytest-asyncio" },
{ name = "pytest-cov" },
{ name = "pytest-recording" },
{ name = "ruff" },
{ name = "ty" },
]
[package.metadata]
@ -1330,12 +1330,12 @@ dev = [
{ name = "pydantic-ai-slim", extras = ["bedrock"] },
{ name = "pydantic-ai-slim", extras = ["google"] },
{ name = "pydantic-ai-slim", extras = ["groq"] },
{ name = "pyright", specifier = ">=1.1.408" },
{ name = "pytest", specifier = ">=9.0.2" },
{ name = "pytest-asyncio", specifier = ">=1.3.0" },
{ name = "pytest-cov", specifier = ">=7.0.0" },
{ name = "pytest-recording", specifier = ">=0.13.4" },
{ name = "ruff", specifier = ">=0.14.11" },
{ name = "ty", specifier = ">=0.0.1a17" },
]
[[package]]
@ -3843,19 +3843,6 @@ wheels = [
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]
[[package]]
name = "pyright"
version = "1.1.408"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "nodeenv" },
{ name = "typing-extensions" },
]
sdist = { url = "https://files.pythonhosted.org/packages/74/b2/5db700e52554b8f025faa9c3c624c59f1f6c8841ba81ab97641b54322f16/pyright-1.1.408.tar.gz", hash = "sha256:f28f2321f96852fa50b5829ea492f6adb0e6954568d1caa3f3af3a5f555eb684", size = 4400578, upload-time = "2026-01-08T08:07:38.795Z" }
wheels = [
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]
[[package]]
name = "pytest"
version = "9.0.2"
@ -4992,6 +4979,31 @@ wheels = [
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]
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version = "0.0.12"
source = { registry = "https://pypi.org/simple" }
sdist = { url = "https://files.pythonhosted.org/packages/b5/78/ba1a4ad403c748fbba8be63b7e774a90e80b67192f6443d624c64fe4aaab/ty-0.0.12.tar.gz", hash = "sha256:cd01810e106c3b652a01b8f784dd21741de9fdc47bd595d02c122a7d5cefeee7", size = 4981303, upload-time = "2026-01-14T22:30:48.537Z" }
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