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v2.5.0 (#495)

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Co-authored-by: Quentin Torroba <quentin.torroba@mistral.ai>
Co-authored-by: Clement Sirieix <clem.sirieix@gmail.com>
Co-authored-by: Kim-Adeline Miguel <kimadeline.miguel@mistral.ai>
Co-authored-by: Simon Van de Kerckhove <simon.vandekerckhove@mistral.ai>
Co-authored-by: Vincent Guilloux <vincent.guilloux@mistral.ai>
Co-authored-by: Michel Thomazo <michel.thomazo@mistral.ai>
Co-authored-by: Mistral Vibe <vibe@mistral.ai>
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Mathias Gesbert 2026-03-16 17:51:47 +01:00 • committed by GitHub
parent 9421fbc08e
commit 5103019b01
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104 changed files with 7277 additions and 691 deletions
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60
tests/tools/test_websearch.py
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@ -2,7 +2,15 @@ from __future__ import annotations
from unittest.mock import AsyncMock, MagicMock, patch
import mistralai
from mistralai.client import Mistral
from mistralai.client.errors import SDKError
from mistralai.client.models import (
ConversationResponse,
ConversationUsageInfo,
MessageOutputEntry,
TextChunk,
ToolReferenceChunk,
)
import pytest
from tests.mock.utils import collect_result
@ -13,13 +21,13 @@ from vibe.core.tools.builtins.websearch import WebSearch, WebSearchArgs, WebSear
def _make_response(
content: list | None = None, outputs: list | None = None
) -> mistralai.ConversationResponse:
) -> ConversationResponse:
if outputs is None:
outputs = [mistralai.MessageOutputEntry(content=content or [])]
return mistralai.ConversationResponse(
outputs = [MessageOutputEntry(content=content or [])]
return ConversationResponse(
conversation_id="test",
outputs=outputs,
usage=mistralai.ConversationUsageInfo(
usage=ConversationUsageInfo(
prompt_tokens=10, completion_tokens=20, total_tokens=30
),
)
@ -34,7 +42,7 @@ def websearch(monkeypatch):
def test_parse_text_chunks(websearch):
response = _make_response(
content=[mistralai.TextChunk(text="Hello "), mistralai.TextChunk(text="world")]
content=[TextChunk(text="Hello "), TextChunk(text="world")]
)
result = websearch._parse_response(response)
assert result.answer == "Hello world"
@ -44,16 +52,12 @@ def test_parse_text_chunks(websearch):
def test_parse_sources_deduped(websearch):
response = _make_response(
content=[
mistralai.TextChunk(text="Answer"),
mistralai.ToolReferenceChunk(
tool="web_search", title="Site A", url="https://a.com"
),
mistralai.ToolReferenceChunk(
TextChunk(text="Answer"),
ToolReferenceChunk(tool="web_search", title="Site A", url="https://a.com"),
ToolReferenceChunk(
tool="web_search", title="Site A duplicate", url="https://a.com"
),
mistralai.ToolReferenceChunk(
tool="web_search", title="Site B", url="https://b.com"
),
ToolReferenceChunk(tool="web_search", title="Site B", url="https://b.com"),
]
)
result = websearch._parse_response(response)
@ -67,8 +71,8 @@ def test_parse_sources_deduped(websearch):
def test_parse_skips_source_without_url(websearch):
response = _make_response(
content=[
mistralai.TextChunk(text="Answer"),
mistralai.ToolReferenceChunk(tool="web_search", title="No URL"),
TextChunk(text="Answer"),
ToolReferenceChunk(tool="web_search", title="No URL"),
]
)
result = websearch._parse_response(response)
@ -82,16 +86,14 @@ def test_parse_empty_text_raises(websearch):
def test_parse_whitespace_only_raises(websearch):
response = _make_response(content=[mistralai.TextChunk(text=" ")])
response = _make_response(content=[TextChunk(text=" ")])
with pytest.raises(ToolError, match="No text in agent response"):
websearch._parse_response(response)
def test_parse_skips_non_message_entries(websearch):
response = _make_response(
outputs=[
mistralai.MessageOutputEntry(content=[mistralai.TextChunk(text="Answer")])
]
outputs=[MessageOutputEntry(content=[TextChunk(text="Answer")])]
)
result = websearch._parse_response(response)
assert result.answer == "Answer"
@ -110,18 +112,18 @@ async def test_run_missing_api_key(monkeypatch):
async def test_run_returns_parsed_result(websearch):
response = _make_response(
content=[
mistralai.TextChunk(text="The answer"),
mistralai.ToolReferenceChunk(
TextChunk(text="The answer"),
ToolReferenceChunk(
tool="web_search", title="Source", url="https://example.com"
),
]
)
mock_start = AsyncMock(return_value=response)
with patch.object(mistralai.Mistral, "beta", create=True) as mock_beta:
with patch.object(Mistral, "beta", create=True) as mock_beta:
mock_beta.conversations.start_async = mock_start
with patch.object(mistralai.Mistral, "__aenter__", return_value=None):
with patch.object(mistralai.Mistral, "__aexit__", return_value=None):
with patch.object(Mistral, "__aenter__", return_value=None):
with patch.object(Mistral, "__aexit__", return_value=None):
result = await collect_result(
websearch.run(WebSearchArgs(query="test query"))
)
@ -142,12 +144,12 @@ async def test_run_sdk_error_wrapped(websearch):
mock_response.text = "error"
mock_response.headers = httpx.Headers({"content-type": "application/json"})
with patch.object(mistralai.Mistral, "beta", create=True) as mock_beta:
with patch.object(Mistral, "beta", create=True) as mock_beta:
mock_beta.conversations.start_async = AsyncMock(
side_effect=mistralai.SDKError("API failed", mock_response)
side_effect=SDKError("API failed", mock_response)
)
with patch.object(mistralai.Mistral, "__aenter__", return_value=None):
with patch.object(mistralai.Mistral, "__aexit__", return_value=None):
with patch.object(Mistral, "__aenter__", return_value=None):
with patch.object(Mistral, "__aexit__", return_value=None):
with pytest.raises(ToolError, match="Mistral API error"):
await collect_result(websearch.run(WebSearchArgs(query="test")))