# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from __future__ import annotations
import os
from typing import Any, cast
import pytest
from openai import OpenAI, AsyncOpenAI
from tests.utils import assert_matches_type
from openai.types.beta import (
Thread,
ThreadDeleted,
)
from openai.types.beta.threads import Run
base_url = os.environ.get("TEST_API_BASE_URL", "http://127.0.0.1:4010")
class TestThreads:
parametrize = pytest.mark.parametrize("client", [False, True], indirect=True, ids=["loose", "strict"])
@parametrize
def test_method_create(self, client: OpenAI) -> None:
thread = client.beta.threads.create()
assert_matches_type(Thread, thread, path=["response"])
@parametrize
def test_method_create_with_all_params(self, client: OpenAI) -> None:
thread = client.beta.threads.create(
messages=[
{
"content": "string",
"role": "user",
"attachments": [
{
"file_id": "string",
"tools": [
{"type": "code_interpreter"},
{"type": "code_interpreter"},
{"type": "code_interpreter"},
],
},
{
"file_id": "string",
"tools": [
{"type": "code_interpreter"},
{"type": "code_interpreter"},
{"type": "code_interpreter"},
],
},
{
"file_id": "string",
"tools": [
{"type": "code_interpreter"},
{"type": "code_interpreter"},
{"type": "code_interpreter"},
],
},
],
"metadata": {},
},
{
"content": "string",
"role": "user",
"attachments": [
{
"file_id": "string",
"tools": [
{"type": "code_interpreter"},
{"type": "code_interpreter"},
{"type": "code_interpreter"},
],
},
{
"file_id": "string",
"tools": [
{"type": "code_interpreter"},
{"type": "code_interpreter"},
{"type": "code_interpreter"},
],
},
{
"file_id": "string",
"tools": [
{"type": "code_interpreter"},
{"type": "code_interpreter"},
{"type": "code_interpreter"},
],
},
],
"metadata": {},
},
{
"content": "string",
"role": "user",
"attachments": [
{
"file_id": "string",
"tools": [
{"type": "code_interpreter"},
{"type": "code_interpreter"},
{"type": "code_interpreter"},
],
},
{
"file_id": "string",
"tools": [
{"type": "code_interpreter"},
{"type": "code_interpreter"},
{"type": "code_interpreter"},
],
},
{
"file_id": "string",
"tools": [
{"type": "code_interpreter"},
{"type": "code_interpreter"},
{"type": "code_interpreter"},
],
},
],
"metadata": {},
},
],
metadata={},
tool_resources={
"code_interpreter": {"file_ids": ["string", "string", "string"]},
"file_search": {
"vector_store_ids": ["string"],
"vector_stores": [
{
"chunking_strategy": {"type": "auto"},
"file_ids": ["string", "string", "string"],
"metadata": {},
}
],
},
},
)
assert_matches_type(Thread, thread, path=["response"])
@parametrize
def test_raw_response_create(self, client: OpenAI) -> None:
response = client.beta.threads.with_raw_response.create()
assert response.is_closed is True
assert response.http_request.headers.get("X-Stainless-Lang") == "python"
thread = response.parse()
assert_matches_type(Thread, thread, path=["response"])
@parametrize
def test_streaming_response_create(self, client: OpenAI) -> None:
with client.beta.threads.with_streaming_response.create() as response:
assert not response.is_closed
assert response.http_request.headers.get("X-Stainless-Lang") == "python"
thread = response.parse()
assert_matches_type(Thread, thread, path=["response"])
assert cast(Any, response.is_closed) is True
@parametrize
def test_method_retrieve(self, client: OpenAI) -> None:
thread = client.beta.threads.retrieve(
"string",
)
assert_matches_type(Thread, thread, path=["response"])
@parametrize
def test_raw_response_retrieve(self, client: OpenAI) -> None:
response = client.beta.threads.with_raw_response.retrieve(
"string",
)
assert response.is_closed is True
assert response.http_request.headers.get("X-Stainless-Lang") == "python"
thread = response.parse()
assert_matches_type(Thread, thread, path=["response"])
@parametrize
def test_streaming_response_retrieve(self, client: OpenAI) -> None:
with client.beta.threads.with_streaming_response.retrieve(
"string",
) as response:
assert not response.is_closed
assert response.http_request.headers.get("X-Stainless-Lang") == "python"
thread = response.parse()
assert_matches_type(Thread, thread, path=["response"])
assert cast(Any, response.is_closed) is True
@parametrize
def test_path_params_retrieve(self, client: OpenAI) -> None:
with pytest.raises(ValueError, match=r"Expected a non-empty value for `thread_id` but received ''"):
client.beta.threads.with_raw_response.retrieve(
"",
)
@parametrize
def test_method_update(self, client: OpenAI) -> None:
thread = client.beta.threads.update(
"string",
)
assert_matches_type(Thread, thread, path=["response"])
@parametrize
def test_method_update_with_all_params(self, client: OpenAI) -> None:
thread = client.beta.threads.update(
"string",
metadata={},
tool_resources={
"code_interpreter": {"file_ids": ["string", "string", "string"]},
"file_search": {"vector_store_ids": ["string"]},
},
)
assert_matches_type(Thread, thread, path=["response"])
@parametrize
def test_raw_response_update(self, client: OpenAI) -> None:
response = client.beta.threads.with_raw_response.update(
"string",
)
assert response.is_closed is True
assert response.http_request.headers.get("X-Stainless-Lang") == "python"
thread = response.parse()
assert_matches_type(Thread, thread, path=["response"])
@parametrize
def test_streaming_response_update(self, client: OpenAI) -> None:
with client.beta.threads.with_streaming_response.update(
"string",
) as response:
assert not response.is_closed
assert response.http_request.headers.get("X-Stainless-Lang") == "python"
thread = response.parse()
assert_matches_type(Thread, thread, path=["response"])
assert cast(Any, response.is_closed) is True
@parametrize
def test_path_params_update(self, client: OpenAI) -> None:
with pytest.raises(ValueError, match=r"Expected a non-empty value for `thread_id` but received ''"):
client.beta.threads.with_raw_response.update(
"",
)
@parametrize
def test_method_delete(self, client: OpenAI) -> None:
thread = client.beta.threads.delete(
"string",
)
assert_matches_type(ThreadDeleted, thread, path=["response"])
@parametrize
def test_raw_response_delete(self, client: OpenAI) -> None:
response = client.beta.threads.with_raw_response.delete(
"string",
)
assert response.is_closed is True
assert response.http_request.headers.get("X-Stainless-Lang") == "python"
thread = response.parse()
assert_matches_type(ThreadDeleted, thread, path=["response"])
@parametrize
def test_streaming_response_delete(self, client: OpenAI) -> None:
with client.beta.threads.with_streaming_response.delete(
"string",
) as response:
assert not response.is_closed
assert response.http_request.headers.get("X-Stainless-Lang") == "python"
thread = response.parse()
assert_matches_type(ThreadDeleted, thread, path=["response"])
assert cast(Any, response.is_closed) is True
@parametrize
def test_path_params_delete(self, client: OpenAI) -> None:
with pytest.raises(ValueError, match=r"Expected a non-empty value for `thread_id` but received ''"):
client.beta.threads.with_raw_response.delete(
"",
)
@parametrize
def test_method_create_and_run_overload_1(self, client: OpenAI) -> None:
thread = client.beta.threads.create_and_run(
assistant_id="string",
)
assert_matches_type(Run, thread, path=["response"])
@parametrize
def test_method_create_and_run_with_all_params_overload_1(self, client: OpenAI) -> None:
thread = client.beta.threads.create_and_run(
assistant_id="string",
instructions="string",
max_completion_tokens=256,
max_prompt_tokens=256,
metadata={},
model="gpt-4o",
parallel_tool_calls=True,
response_format="auto",
stream=False,
temperature=1,
thread={
"messages": [
{
"content": "string",
"role": "user",
"attachments": [
{
"file_id": "string",
"tools": [
{"type": "code_interpreter"},
{"type": "code_interpreter"},
{"type": "code_interpreter"},
],
},
{
"file_id": "string",
"tools": [
{"type": "code_interpreter"},
{"type": "code_interpreter"},
{"type": "code_interpreter"},
],
},
{
"file_id": "string",
"tools": [
{"type": "code_interpreter"},
{"type": "code_interpreter"},
{"type": "code_interpreter"},
],
},
],
"metadata": {},
},
{
"content": "string",
"role": "user",
"attachments": [
{
"file_id": "string",
"tools": [
{"type": "code_interpreter"},
{"type": "code_interpreter"},
{"type": "code_interpreter"},
],
},
{
"file_id": "string",
"tools": [
{"type": "code_interpreter"},
{"type": "code_interpreter"},
{"type": "code_interpreter"},
],
},
{
"file_id": "string",
"tools": [
{"type": "code_interpreter"},
{"type": "code_interpreter"},
{"type": "code_interpreter"},
],
},
],
"metadata": {},
},
{
"content": "string",
"role": "user",
"attachments": [
{
"file_id": "string",
"tools": [
{"type": "code_interpreter"},
{"type": "code_interpreter"},
{"type": "code_interpreter"},
],
},
{
"file_id": "string",
"tools": [
{"type": "code_interpreter"},
{"type": "code_interpreter"},
{"type": "code_interpreter"},
],
},
{
"file_id": "string",
"tools": [
{"type": "code_interpreter"},
{"type": "code_interpreter"},
{"type": "code_interpreter"},
],
},
],
"metadata": {},
},
],
"metadata": {},
"tool_resources": {
"code_interpreter": {"file_ids": ["string", "string", "string"]},
"file_search": {
"vector_store_ids": ["string"],
"vector_stores": [
{
"chunking_strategy": {"type": "auto"},
"file_ids": ["string", "string", "string"],
"metadata": {},
}
],
},
},
},
tool_choice="none",
tool_resources={
"code_interpreter": {"file_ids": ["string", "string", "string"]},
"file_search": {"vector_store_ids": ["string"]},
},
tools=[{"type": "code_interpreter"}, {"type": "code_interpreter"}, {"type": "code_interpreter"}],
top_p=1,
truncation_strategy={
"type": "auto",
"last_messages": 1,
},
)
assert_matches_type(Run, thread, path=["response"])
@parametrize
def test_raw_response_create_and_run_overload_1(self, client: OpenAI) -> None:
response = client.beta.threads.with_raw_response.create_and_run(
assistant_id="string",
)
assert response.is_closed is True
assert response.http_request.headers.get("X-Stainless-Lang") == "python"
thread = response.parse()
assert_matches_type(Run, thread, path=["response"])
@parametrize
def test_streaming_response_create_and_run_overload_1(self, client: OpenAI) -> None:
with client.beta.threads.with_streaming_response.create_and_run(
assistant_id="string",
) as response:
assert not response.is_closed
assert response.http_request.headers.get("X-Stainless-Lang") == "python"
thread = response.parse()
assert_matches_type(Run, thread, path=["response"])
assert cast(Any, response.is_closed) is True
@parametrize
def test_method_create_and_run_overload_2(self, client: OpenAI) -> None:
thread_stream = client.beta.threads.create_and_run(
assistant_id="string",
stream=True,
)
thread_stream.response.close()
@parametrize
def test_method_create_and_run_with_all_params_overload_2(self, client: OpenAI) -> None:
thread_stream = client.beta.threads.create_and_run(
assistant_id="string",
stream=True,
instructions="string",
max_completion_tokens=256,
max_prompt_tokens=256,
metadata={},
model="gpt-4o",
parallel_tool_calls=True,
response_format="auto",
temperature=1,
thread={
"messages": [
{
"content": "string",
"role": "user",
"attachments": [
{
"file_id": "string",
"tools": [
{"type": "code_interpreter"},
{"type": "code_interpreter"},
{"type": "code_interpreter"},
],
},
{
"file_id": "string",
"tools": [
{"type": "code_interpreter"},
{"type": "code_interpreter"},
{"type": "code_interpreter"},
],
},
{
"file_id": "string",
"tools": [
{"type": "code_interpreter"},
{"type": "code_interpreter"},
{"type": "code_interpreter"},
],
},
],
"metadata": {},
},
{
"content": "string",
"role": "user",
"attachments": [
{
"file_id": "string",
"tools": [
{"type": "code_interpreter"},
{"type": "code_interpreter"},
{"type": "code_interpreter"},
],
},
{
"file_id": "string",
"tools": [
{"type": "code_interpreter"},
{"type": "code_interpreter"},
{"type": "code_interpreter"},
],
},
{
"file_id": "string",
"tools": [
{"type": "code_interpreter"},
{"type": "code_interpreter"},
{"type": "code_interpreter"},
],
},
],
"metadata": {},
},
{
"content": "string",
"role": "user",
"attachments": [
{
"file_id": "string",
"tools": [
{"type": "code_interpreter"},
{"type": "code_interpreter"},
{"type": "code_interpreter"},
],
},
{
"file_id": "string",
"tools": [
{"type": "code_interpreter"},
{"type": "code_interpreter"},
{"type": "code_interpreter"},
],
},
{
"file_id": "string",
"tools": [
{"type": "code_interpreter"},
{"type": "code_interpreter"},
{"type": "code_interpreter"},
],
},
],
"metadata": {},
},
],
"metadata": {},
"tool_resources": {
"code_interpreter": {"file_ids": ["string", "string", "string"]},
"file_search": {
"vector_store_ids": ["string"],
"vector_stores": [
{
"chunking_strategy": {"type": "auto"},
"file_ids": ["string", "string", "string"],
"metadata": {},
}
],
},
},
},
tool_choice="none",
tool_resources={
"code_interpreter": {"file_ids": ["string", "string", "string"]},
"file_search": {"vector_store_ids": ["string"]},
},
tools=[{"type": "code_interpreter"}, {"type": "code_interpreter"}, {"type": "code_interpreter"}],
top_p=1,
truncation_strategy={
"type": "auto",
"last_messages": 1,
},
)
thread_stream.response.close()
@parametrize
def test_raw_response_create_and_run_overload_2(self, client: OpenAI) -> None:
response = client.beta.threads.with_raw_response.create_and_run(
assistant_id="string",
stream=True,
)
assert response.http_request.headers.get("X-Stainless-Lang") == "python"
stream = response.parse()
stream.close()
@parametrize
def test_streaming_response_create_and_run_overload_2(self, client: OpenAI) -> None:
with client.beta.threads.with_streaming_response.create_and_run(
assistant_id="string",
stream=True,
) as response:
assert not response.is_closed
assert response.http_request.headers.get("X-Stainless-Lang") == "python"
stream = response.parse()
stream.close()
assert cast(Any, response.is_closed) is True
class TestAsyncThreads:
parametrize = pytest.mark.parametrize("async_client", [False, True], indirect=True, ids=["loose", "strict"])
@parametrize
async def test_method_create(self, async_client: AsyncOpenAI) -> None:
thread = await async_client.beta.threads.create()
assert_matches_type(Thread, thread, path=["response"])
@parametrize
async def test_method_create_with_all_params(self, async_client: AsyncOpenAI) -> None:
thread = await async_client.beta.threads.create(
messages=[
{
"content": "string",
"role": "user",
"attachments": [
{
"file_id": "string",
"tools": [
{"type": "code_interpreter"},
{"type": "code_interpreter"},
{"type": "code_interpreter"},
],
},
{
"file_id": "string",
"tools": [
{"type": "code_interpreter"},
{"type": "code_interpreter"},
{"type": "code_interpreter"},
],
},
{
"file_id": "string",
"tools": [
{"type": "code_interpreter"},
{"type": "code_interpreter"},
{"type": "code_interpreter"},
],
},
],
"metadata": {},
},
{
"content": "string",
"role": "user",
"attachments": [
{
"file_id": "string",
"tools": [
{"type": "code_interpreter"},
{"type": "code_interpreter"},
{"type": "code_interpreter"},
],
},
{
"file_id": "string",
"tools": [
{"type": "code_interpreter"},
{"type": "code_interpreter"},
{"type": "code_interpreter"},
],
},
{
"file_id": "string",
"tools": [
{"type": "code_interpreter"},
{"type": "code_interpreter"},
{"type": "code_interpreter"},
],
},
],
"metadata": {},
},
{
"content": "string",
"role": "user",
"attachments": [
{
"file_id": "string",
"tools": [
{"type": "code_interpreter"},
{"type": "code_interpreter"},
{"type": "code_interpreter"},
],
},
{
"file_id": "string",
"tools": [
{"type": "code_interpreter"},
{"type": "code_interpreter"},
{"type": "code_interpreter"},
],
},
{
"file_id": "string",
"tools": [
{"type": "code_interpreter"},
{"type": "code_interpreter"},
{"type": "code_interpreter"},
],
},
],
"metadata": {},
},
],
metadata={},
tool_resources={
"code_interpreter": {"file_ids": ["string", "string", "string"]},
"file_search": {
"vector_store_ids": ["string"],
"vector_stores": [
{
"chunking_strategy": {"type": "auto"},
"file_ids": ["string", "string", "string"],
"metadata": {},
}
],
},
},
)
assert_matches_type(Thread, thread, path=["response"])
@parametrize
async def test_raw_response_create(self, async_client: AsyncOpenAI) -> None:
response = await async_client.beta.threads.with_raw_response.create()
assert response.is_closed is True
assert response.http_request.headers.get("X-Stainless-Lang") == "python"
thread = response.parse()
assert_matches_type(Thread, thread, path=["response"])
@parametrize
async def test_streaming_response_create(self, async_client: AsyncOpenAI) -> None:
async with async_client.beta.threads.with_streaming_response.create() as response:
assert not response.is_closed
assert response.http_request.headers.get("X-Stainless-Lang") == "python"
thread = await response.parse()
assert_matches_type(Thread, thread, path=["response"])
assert cast(Any, response.is_closed) is True
@parametrize
async def test_method_retrieve(self, async_client: AsyncOpenAI) -> None:
thread = await async_client.beta.threads.retrieve(
"string",
)
assert_matches_type(Thread, thread, path=["response"])
@parametrize
async def test_raw_response_retrieve(self, async_client: AsyncOpenAI) -> None:
response = await async_client.beta.threads.with_raw_response.retrieve(
"string",
)
assert response.is_closed is True
assert response.http_request.headers.get("X-Stainless-Lang") == "python"
thread = response.parse()
assert_matches_type(Thread, thread, path=["response"])
@parametrize
async def test_streaming_response_retrieve(self, async_client: AsyncOpenAI) -> None:
async with async_client.beta.threads.with_streaming_response.retrieve(
"string",
) as response:
assert not response.is_closed
assert response.http_request.headers.get("X-Stainless-Lang") == "python"
thread = await response.parse()
assert_matches_type(Thread, thread, path=["response"])
assert cast(Any, response.is_closed) is True
@parametrize
async def test_path_params_retrieve(self, async_client: AsyncOpenAI) -> None:
with pytest.raises(ValueError, match=r"Expected a non-empty value for `thread_id` but received ''"):
await async_client.beta.threads.with_raw_response.retrieve(
"",
)
@parametrize
async def test_method_update(self, async_client: AsyncOpenAI) -> None:
thread = await async_client.beta.threads.update(
"string",
)
assert_matches_type(Thread, thread, path=["response"])
@parametrize
async def test_method_update_with_all_params(self, async_client: AsyncOpenAI) -> None:
thread = await async_client.beta.threads.update(
"string",
metadata={},
tool_resources={
"code_interpreter": {"file_ids": ["string", "string", "string"]},
"file_search": {"vector_store_ids": ["string"]},
},
)
assert_matches_type(Thread, thread, path=["response"])
@parametrize
async def test_raw_response_update(self, async_client: AsyncOpenAI) -> None:
response = await async_client.beta.threads.with_raw_response.update(
"string",
)
assert response.is_closed is True
assert response.http_request.headers.get("X-Stainless-Lang") == "python"
thread = response.parse()
assert_matches_type(Thread, thread, path=["response"])
@parametrize
async def test_streaming_response_update(self, async_client: AsyncOpenAI) -> None:
async with async_client.beta.threads.with_streaming_response.update(
"string",
) as response:
assert not response.is_closed
assert response.http_request.headers.get("X-Stainless-Lang") == "python"
thread = await response.parse()
assert_matches_type(Thread, thread, path=["response"])
assert cast(Any, response.is_closed) is True
@parametrize
async def test_path_params_update(self, async_client: AsyncOpenAI) -> None:
with pytest.raises(ValueError, match=r"Expected a non-empty value for `thread_id` but received ''"):
await async_client.beta.threads.with_raw_response.update(
"",
)
@parametrize
async def test_method_delete(self, async_client: AsyncOpenAI) -> None:
thread = await async_client.beta.threads.delete(
"string",
)
assert_matches_type(ThreadDeleted, thread, path=["response"])
@parametrize
async def test_raw_response_delete(self, async_client: AsyncOpenAI) -> None:
response = await async_client.beta.threads.with_raw_response.delete(
"string",
)
assert response.is_closed is True
assert response.http_request.headers.get("X-Stainless-Lang") == "python"
thread = response.parse()
assert_matches_type(ThreadDeleted, thread, path=["response"])
@parametrize
async def test_streaming_response_delete(self, async_client: AsyncOpenAI) -> None:
async with async_client.beta.threads.with_streaming_response.delete(
"string",
) as response:
assert not response.is_closed
assert response.http_request.headers.get("X-Stainless-Lang") == "python"
thread = await response.parse()
assert_matches_type(ThreadDeleted, thread, path=["response"])
assert cast(Any, response.is_closed) is True
@parametrize
async def test_path_params_delete(self, async_client: AsyncOpenAI) -> None:
with pytest.raises(ValueError, match=r"Expected a non-empty value for `thread_id` but received ''"):
await async_client.beta.threads.with_raw_response.delete(
"",
)
@parametrize
async def test_method_create_and_run_overload_1(self, async_client: AsyncOpenAI) -> None:
thread = await async_client.beta.threads.create_and_run(
assistant_id="string",
)
assert_matches_type(Run, thread, path=["response"])
@parametrize
async def test_method_create_and_run_with_all_params_overload_1(self, async_client: AsyncOpenAI) -> None:
thread = await async_client.beta.threads.create_and_run(
assistant_id="string",
instructions="string",
max_completion_tokens=256,
max_prompt_tokens=256,
metadata={},
model="gpt-4o",
parallel_tool_calls=True,
response_format="auto",
stream=False,
temperature=1,
thread={
"messages": [
{
"content": "string",
"role": "user",
"attachments": [
{
"file_id": "string",
"tools": [
{"type": "code_interpreter"},
{"type": "code_interpreter"},
{"type": "code_interpreter"},
],
},
{
"file_id": "string",
"tools": [
{"type": "code_interpreter"},
{"type": "code_interpreter"},
{"type": "code_interpreter"},
],
},
{
"file_id": "string",
"tools": [
{"type": "code_interpreter"},
{"type": "code_interpreter"},
{"type": "code_interpreter"},
],
},
],
"metadata": {},
},
{
"content": "string",
"role": "user",
"attachments": [
{
"file_id": "string",
"tools": [
{"type": "code_interpreter"},
{"type": "code_interpreter"},
{"type": "code_interpreter"},
],
},
{
"file_id": "string",
"tools": [
{"type": "code_interpreter"},
{"type": "code_interpreter"},
{"type": "code_interpreter"},
],
},
{
"file_id": "string",
"tools": [
{"type": "code_interpreter"},
{"type": "code_interpreter"},
{"type": "code_interpreter"},
],
},
],
"metadata": {},
},
{
"content": "string",
"role": "user",
"attachments": [
{
"file_id": "string",
"tools": [
{"type": "code_interpreter"},
{"type": "code_interpreter"},
{"type": "code_interpreter"},
],
},
{
"file_id": "string",
"tools": [
{"type": "code_interpreter"},
{"type": "code_interpreter"},
{"type": "code_interpreter"},
],
},
{
"file_id": "string",
"tools": [
{"type": "code_interpreter"},
{"type": "code_interpreter"},
{"type": "code_interpreter"},
],
},
],
"metadata": {},
},
],
"metadata": {},
"tool_resources": {
"code_interpreter": {"file_ids": ["string", "string", "string"]},
"file_search": {
"vector_store_ids": ["string"],
"vector_stores": [
{
"chunking_strategy": {"type": "auto"},
"file_ids": ["string", "string", "string"],
"metadata": {},
}
],
},
},
},
tool_choice="none",
tool_resources={
"code_interpreter": {"file_ids": ["string", "string", "string"]},
"file_search": {"vector_store_ids": ["string"]},
},
tools=[{"type": "code_interpreter"}, {"type": "code_interpreter"}, {"type": "code_interpreter"}],
top_p=1,
truncation_strategy={
"type": "auto",
"last_messages": 1,
},
)
assert_matches_type(Run, thread, path=["response"])
@parametrize
async def test_raw_response_create_and_run_overload_1(self, async_client: AsyncOpenAI) -> None:
response = await async_client.beta.threads.with_raw_response.create_and_run(
assistant_id="string",
)
assert response.is_closed is True
assert response.http_request.headers.get("X-Stainless-Lang") == "python"
thread = response.parse()
assert_matches_type(Run, thread, path=["response"])
@parametrize
async def test_streaming_response_create_and_run_overload_1(self, async_client: AsyncOpenAI) -> None:
async with async_client.beta.threads.with_streaming_response.create_and_run(
assistant_id="string",
) as response:
assert not response.is_closed
assert response.http_request.headers.get("X-Stainless-Lang") == "python"
thread = await response.parse()
assert_matches_type(Run, thread, path=["response"])
assert cast(Any, response.is_closed) is True
@parametrize
async def test_method_create_and_run_overload_2(self, async_client: AsyncOpenAI) -> None:
thread_stream = await async_client.beta.threads.create_and_run(
assistant_id="string",
stream=True,
)
await thread_stream.response.aclose()
@parametrize
async def test_method_create_and_run_with_all_params_overload_2(self, async_client: AsyncOpenAI) -> None:
thread_stream = await async_client.beta.threads.create_and_run(
assistant_id="string",
stream=True,
instructions="string",
max_completion_tokens=256,
max_prompt_tokens=256,
metadata={},
model="gpt-4o",
parallel_tool_calls=True,
response_format="auto",
temperature=1,
thread={
"messages": [
{
"content": "string",
"role": "user",
"attachments": [
{
"file_id": "string",
"tools": [
{"type": "code_interpreter"},
{"type": "code_interpreter"},
{"type": "code_interpreter"},
],
},
{
"file_id": "string",
"tools": [
{"type": "code_interpreter"},
{"type": "code_interpreter"},
{"type": "code_interpreter"},
],
},
{
"file_id": "string",
"tools": [
{"type": "code_interpreter"},
{"type": "code_interpreter"},
{"type": "code_interpreter"},
],
},
],
"metadata": {},
},
{
"content": "string",
"role": "user",
"attachments": [
{
"file_id": "string",
"tools": [
{"type": "code_interpreter"},
{"type": "code_interpreter"},
{"type": "code_interpreter"},
],
},
{
"file_id": "string",
"tools": [
{"type": "code_interpreter"},
{"type": "code_interpreter"},
{"type": "code_interpreter"},
],
},
{
"file_id": "string",
"tools": [
{"type": "code_interpreter"},
{"type": "code_interpreter"},
{"type": "code_interpreter"},
],
},
],
"metadata": {},
},
{
"content": "string",
"role": "user",
"attachments": [
{
"file_id": "string",
"tools": [
{"type": "code_interpreter"},
{"type": "code_interpreter"},
{"type": "code_interpreter"},
],
},
{
"file_id": "string",
"tools": [
{"type": "code_interpreter"},
{"type": "code_interpreter"},
{"type": "code_interpreter"},
],
},
{
"file_id": "string",
"tools": [
{"type": "code_interpreter"},
{"type": "code_interpreter"},
{"type": "code_interpreter"},
],
},
],
"metadata": {},
},
],
"metadata": {},
"tool_resources": {
"code_interpreter": {"file_ids": ["string", "string", "string"]},
"file_search": {
"vector_store_ids": ["string"],
"vector_stores": [
{
"chunking_strategy": {"type": "auto"},
"file_ids": ["string", "string", "string"],
"metadata": {},
}
],
},
},
},
tool_choice="none",
tool_resources={
"code_interpreter": {"file_ids": ["string", "string", "string"]},
"file_search": {"vector_store_ids": ["string"]},
},
tools=[{"type": "code_interpreter"}, {"type": "code_interpreter"}, {"type": "code_interpreter"}],
top_p=1,
truncation_strategy={
"type": "auto",
"last_messages": 1,
},
)
await thread_stream.response.aclose()
@parametrize
async def test_raw_response_create_and_run_overload_2(self, async_client: AsyncOpenAI) -> None:
response = await async_client.beta.threads.with_raw_response.create_and_run(
assistant_id="string",
stream=True,
)
assert response.http_request.headers.get("X-Stainless-Lang") == "python"
stream = response.parse()
await stream.close()
@parametrize
async def test_streaming_response_create_and_run_overload_2(self, async_client: AsyncOpenAI) -> None:
async with async_client.beta.threads.with_streaming_response.create_and_run(
assistant_id="string",
stream=True,
) as response:
assert not response.is_closed
assert response.http_request.headers.get("X-Stainless-Lang") == "python"
stream = await response.parse()
await stream.close()
assert cast(Any, response.is_closed) is Trueopenai/openai-python
Publicmirrored fromhttps://github.com/openai/openai-pythonAvailable
tests/api_resources/beta/test_threads.py
1238lines · modepreview